Offshore wind power support structure digital twin visual monitoring device

CN224608465UActive Publication Date: 2026-08-07GUANGDONG YUEDIAN ZHUHAI OFFSHORE WIND POWER CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
GUANGDONG YUEDIAN ZHUHAI OFFSHORE WIND POWER CO LTD
Filing Date
2025-07-10
Publication Date
2026-08-07

AI Technical Summary

Technical Problem

然而,由于传感器分散布局、数据处理滞后、环境适应性不足等问题,现有系统往往存在监测信息碎片化、实时性差、缺乏系统集成与可视化管理能力的不足

Benefits of technology

[0019] This invention provides a digital twin visualization monitoring device for offshore wind power support structures. Through the coordinated operation of a support structure monitoring unit, an environmental parameter acquisition unit, a central data processing unit, an adaptive digital twin modeling module, a power supply module, a communication module, and a multi-functional visualization display terminal, it achieves real-time monitoring and dynamic simulation updates of the stress state, vibration characteristics, attitude changes, and surrounding environmental changes of the offshore wind power support structure. It can intuitively and accurately display the health status of the support structure, effectively improving the operational safety and maintenance management level of offshore wind turbines.

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Abstract

The utility model provides a kind of offshore wind power support structure digital twinborn visual monitoring device, including support structure monitoring unit, environmental parameter acquisition unit, central data processing unit, adaptive digital twin modeling module, power module, communication module and multifunctional visual display terminal.Support structure monitoring unit is used to monitor the force, vibration and attitude information of support structure in real time, environmental parameter acquisition unit is used to obtain wind speed, wave height, current and water level change data, central data processing unit carries out edge processing and cache to acquisition data, adaptive digital twin modeling module dynamically updates support structure three-dimensional simulation model according to processed data, power module provides independent power supply, communication module realizes remote data transmission, and multifunctional visual display terminal shows structure state in real time.The utility model realizes real-time monitoring and intelligent management to offshore wind power support structure, and improves structure health assessment and remote operation and maintenance level.
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Description

Technical Field

[0001] This utility model relates to the field of offshore wind power technology, specifically to a digital twin visualization monitoring device for offshore wind power support structures. Background Technology

[0002] Offshore wind power, as an important renewable energy development method, converts wind energy into electricity, offering advantages such as abundant resources, high power generation efficiency, and reduced carbon emissions. To ensure the long-term stable operation of wind turbines, the support structures in offshore wind farms must withstand complex marine environmental loads, such as wind loads, wave loads, and ocean current loads. Under these loads, the support structures are prone to fatigue, corrosion, and stress deformation. Therefore, real-time monitoring and condition assessment of the support structures are of great significance. The health status of the support structures directly affects the operational safety and maintenance costs of the entire wind power system.

[0003] Currently, monitoring of offshore wind turbine support structures primarily relies on traditional sensor deployment methods. This involves dispersing strain sensors, accelerometers, and other equipment to monitor the structural stress and vibration states. However, due to issues such as dispersed sensor deployment, delayed data processing, and insufficient environmental adaptability, existing systems often suffer from fragmented monitoring information, poor real-time performance, and a lack of system integration and visual management capabilities. Furthermore, traditional systems largely depend on periodic manual inspections, making it difficult to detect potential risks to the support structure in a timely manner, increasing maintenance difficulty and costs. In addition, the offshore environment places higher demands on equipment protection, independent power supply, and data communication capabilities; existing technologies still have significant room for improvement in long-term stable operation and remote intelligent monitoring.

[0004] To address the challenges of fragmented monitoring methods, insufficient data integration and real-time performance, and limited remote communication and independent power supply capabilities for offshore wind power support structures in complex environments, there is an urgent need to develop a highly integrated, real-time, and environmentally adaptable support structure health monitoring and visualization management device. This device would enable continuous dynamic monitoring of the health status of offshore wind power support structures and intelligent operation and maintenance support. Utility Model Content

[0005] To address the problems of existing technologies, this utility model provides a digital twin visualization monitoring device for offshore wind power support structures.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A digital twin visualization monitoring device for offshore wind power support structures includes a support structure monitoring unit, an environmental parameter acquisition unit, a central data processing unit, an adaptive digital twin modeling module, a power supply module, a communication module, and a multi-functional visualization display terminal.

[0008] The support structure monitoring unit includes a modular integrated sensor comprising strain sensors, acceleration sensors, and tilt angle sensors, installed at key nodes of the offshore wind power support structure for real-time monitoring of the structure's stress state, vibration characteristics, and attitude changes. The environmental parameter acquisition unit includes an anemometer, wave height meter, ocean current sensor, and water level gauge, respectively installed on the support structure and its surrounding environment to acquire wind speed, wave height, ocean current, and water level information. The central data processing unit is located inside the protective enclosure and includes a data acquisition module, an edge computing module, and a data storage module for processing the data acquired by the environmental parameter acquisition unit. The data is processed and cached; the adaptive digital twin modeling module is integrated into the central data processing unit and is used to dynamically update the three-dimensional simulation model of the support structure based on the collected data; the power supply module includes solar panels and energy storage battery packs, with the solar panels mounted on the top of the support structure via brackets and the energy storage battery packs installed inside the protective enclosure to provide an independent and stable power supply; the communication module includes a 5G communication module and a satellite communication module to realize remote transmission of monitoring data; the multi-functional visualization display terminal is set in the substation monitoring room or remote control center to display the status of the support structure and environmental change information in real time.

[0009] A further improvement of this invention is that the modular integrated sensor is fixed to the key node position of the support structure by a magnetic or snap-fit ​​structure and is encapsulated with a corrosion-resistant alloy shell.

[0010] A further improvement of this utility model is that the anemometer is installed on the top of the wind turbine nacelle, the wave height meter and the ocean current sensor are set in the middle of the support structure and near the sea level, and the water level gauge is installed on the support pile or the jacket column.

[0011] A further improvement of this invention is that the central data processing unit is equipped with a data acquisition module, an edge computing module, and a data storage module arranged in functional compartments.

[0012] A further improvement of this invention is that the adaptive digital twin modeling module dynamically adjusts the virtual simulation model parameters of the support structure based on real-time force data, vibration data, and tilt data.

[0013] A further improvement of this utility model is that the solar panel in the power supply module is fixed to the top of the support structure by an aluminum alloy bracket, which can withstand a level 12 wind load and maintain an independent power supply capability for more than seven days in continuous rainy conditions.

[0014] A further improvement of this invention is that the energy storage battery pack is installed inside the protective enclosure, and the charging and discharging state of the battery is controlled by a charging and discharging management system to maintain the stable operation of the power supply system.

[0015] A further improvement of this invention is that the 5G communication module and the satellite communication module in the communication module adopt a redundant backup design, and automatically switch to the satellite communication link when the 5G communication is interrupted.

[0016] A further improvement of this invention is that the multifunctional visualization display terminal adopts a high-brightness touch screen with salt spray resistance treatment, and displays the stress distribution, vibration mode and environmental parameter change curves of the support structure based on three-dimensional dynamic graphics.

[0017] A further improvement of this invention is that the adaptive digital twin modeling module has a built-in intelligent learning unit, which can optimize the accuracy of simulation modeling based on historical monitoring data and improve the accuracy of the health status assessment of the supporting structure.

[0018] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0019] This invention provides a digital twin visualization monitoring device for offshore wind power support structures. Through the coordinated operation of a support structure monitoring unit, an environmental parameter acquisition unit, a central data processing unit, an adaptive digital twin modeling module, a power supply module, a communication module, and a multi-functional visualization display terminal, it achieves real-time monitoring and dynamic simulation updates of the stress state, vibration characteristics, attitude changes, and surrounding environmental changes of the offshore wind power support structure. It can intuitively and accurately display the health status of the support structure, effectively improving the operational safety and maintenance management level of offshore wind turbines.

[0020] In this invention, each sensor module adopts a modular integrated design, featuring quick installation, excellent corrosion resistance, and convenient maintenance. The central data processing unit achieves on-site data preprocessing through edge computing, significantly improving data response speed and system stability. The adaptive digital twin modeling module can dynamically adjust the virtual simulation model of the support structure based on real-time data, ensuring that changes in the support structure's state are accurately reflected in the simulation system. This helps to identify potential anomalies in advance and reduce the failure rate. Simultaneously, the power supply module employs a combination of solar panels and energy storage battery packs to ensure continuous power supply even in continuous rainy weather in a remote marine environment. The communication module ensures stable data transmission through redundant switching of 5G and satellite links, significantly improving the system's independent operation capability and remote monitoring reliability.

[0021] Through the above design, this utility model can realize the full life cycle health management of offshore wind power support structures, significantly reduce the frequency of manual inspections and maintenance costs, improve the intelligence level and operating efficiency of the monitoring system, and has good application and promotion value and economic benefits. Attached Figure Description

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

[0023] Figure 1 This is a schematic diagram of a digital twin visualization monitoring device for offshore wind power support structures according to this utility model. Detailed Implementation

[0024] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this invention. Therefore, the drawings and description are considered exemplary in nature and not restrictive.

[0025] In the description of this utility model, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this utility model and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model.

[0026] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this utility model, "a plurality of" means two or more, unless otherwise explicitly specified.

[0027] In this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0028] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0029] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0030] It should also be understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0031] The accompanying drawings show various structural schematic diagrams according to embodiments of the present invention. These drawings are not to scale, and some details have been enlarged and may have been omitted for clarity. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0032] The embodiments of this utility model will now be described in detail with reference to the accompanying drawings.

[0033] Example 1

[0034] A digital twin visualization monitoring device for offshore wind power support structures is characterized by comprising a support structure monitoring unit, an environmental parameter acquisition unit, a central data processing unit, an adaptive digital twin modeling module, a power supply module, a communication module, and a multi-functional visualization display terminal.

[0035] The support structure monitoring unit includes a modular integrated sensor comprising strain sensors, acceleration sensors, and tilt angle sensors, installed at key nodes of the offshore wind power support structure for real-time monitoring of the structure's stress state, vibration characteristics, and attitude changes. The environmental parameter acquisition unit includes an anemometer, wave height meter, ocean current sensor, and water level gauge, respectively installed on the support structure and its surrounding environment to acquire wind speed, wave height, ocean current, and water level information. The central data processing unit is located inside the protective enclosure and includes a data acquisition module, an edge computing module, and a data storage module for processing the data acquired by the environmental parameter acquisition unit. The data is processed and cached; the adaptive digital twin modeling module is integrated into the central data processing unit and is used to dynamically update the three-dimensional simulation model of the support structure based on the collected data; the power supply module includes solar panels and energy storage battery packs, with the solar panels mounted on the top of the support structure via brackets and the energy storage battery packs installed inside the protective enclosure to provide an independent and stable power supply; the communication module includes a 5G communication module and a satellite communication module to realize remote transmission of monitoring data; the multi-functional visualization display terminal is set in the substation monitoring room or remote control center to display the status of the support structure and environmental change information in real time.

[0036] In this embodiment, the modular integrated sensor is fixed to the key node position of the support structure by a magnetic or snap-fit ​​structure and is encapsulated with a corrosion-resistant alloy shell.

[0037] In this embodiment, the anemometer is installed on the top of the wind turbine nacelle, the wave height meter and ocean current sensor are located in the middle of the support structure and near the sea level, and the water level gauge is installed on the support pile or the jacket column.

[0038] In this embodiment, the central data processing unit is equipped with a data acquisition module, an edge computing module, and a data storage module arranged in functional compartments.

[0039] In this embodiment, the adaptive digital twin modeling module dynamically adjusts the virtual simulation model parameters of the support structure based on real-time force data, vibration data, and tilt data.

[0040] In this embodiment, the solar panel in the power supply module is fixed to the top of the support structure by an aluminum alloy bracket, which can withstand a level 12 wind load and maintain independent power supply capability for more than seven days in continuous rainy conditions.

[0041] In this embodiment, the energy storage battery pack is installed inside a protective enclosure, and the charging and discharging status of the battery is controlled by a charging and discharging management system to maintain the stable operation of the power supply system.

[0042] In this embodiment, the 5G communication module and the satellite communication module in the communication module adopt a redundant backup design, and automatically switch to the satellite communication link when the 5G communication is interrupted.

[0043] In this embodiment, the multi-functional visualization display terminal adopts a high-brightness touch screen with salt spray resistance treatment, and displays the stress distribution, vibration mode and environmental parameter change curves of the support structure based on three-dimensional dynamic graphics.

[0044] In this embodiment, the adaptive digital twin modeling module has a built-in intelligent learning unit that can optimize the accuracy of simulation modeling based on historical monitoring data and improve the accuracy of the health status assessment of the supporting structure.

[0045] Example 2

[0046] like Figure 1 As shown, this utility model provides a digital twin visualization monitoring device for offshore wind power support structures, including a support structure monitoring unit 1, a central data processing unit 2, a power supply module 3, a multi-functional visualization display terminal 4, a communication module 5, and an environmental parameter acquisition unit. The units interact with each other and manage power supply through wired or wireless connections.

[0047] The support structure monitoring unit 1 is installed on the support structure of the offshore wind turbine to monitor the mechanical state and attitude changes of the support structure in real time. The support structure monitoring unit 1 includes integrated strain sensors, acceleration sensors, and tilt angle sensors, which are respectively arranged at key nodes of the support structure. Each sensor module adopts a modular integrated packaging design, with the shell material being a corrosion-resistant metal alloy. It is installed on the support nodes using magnetic or snap-fit ​​fixing structures to ensure long-term stable operation in the high-salt and high-humidity offshore environment.

[0048] The central data processing unit 2 connects to the support structure monitoring unit 1 via a data cable or short-range wireless connection to receive monitoring data in real time. The central data processing unit 2 is housed in an independent, sealed protective enclosure, internally arranged according to functional zones, containing a data acquisition module, an edge computing module, and a data storage module. The data acquisition module collects data from various monitoring units; the edge computing module performs signal filtering, normalization, and feature extraction; and the data storage module caches and manages the processed data for subsequent analysis. The central data processing unit 2 further integrates an adaptive digital twin modeling module. This module dynamically updates the 3D simulation virtual model of the offshore wind power support structure based on real-time collected force, vibration, and tilt data, and can automatically optimize simulation accuracy based on historical data, thereby improving health status assessment and fault early warning capabilities.

[0049] Power supply module 3, connected to central data processing unit 2, includes solar panel components and energy storage battery packs, providing an independent and stable power supply for the overall system. The solar panels are fixedly mounted on top of the wind power support structure using aluminum alloy brackets, capable of withstanding strong winds at sea and ensuring independent power supply for at least seven days under continuous cloudy and rainy conditions. The energy storage battery pack is housed inside the protective enclosure of central data processing unit 2, maintaining power supply stability through a charge and discharge management system.

[0050] The multi-functional visualization display terminal 4 is used to graphically display the digital twin simulation information and support structure status information generated in the central data processing unit 2. Located in the main control room or remote operation and maintenance management center of the offshore substation, the multi-functional visualization display terminal 4 features a salt spray resistant, high-brightness touchscreen design. It can display the stress distribution, vibration mode, tilt changes, and environmental data change curves of the support structure in real time, and supports high-brightness warnings for abnormal conditions and health status trend analysis functions.

[0051] Communication module 5 is connected to the central data processing unit 2 and includes a 5G communication module and a satellite communication module. Redundancy backup ensures stable data transmission in ocean environments. When 5G network signals are limited, communication module 5 automatically switches to the satellite communication link, ensuring that monitoring data can be reliably synchronized to the remote monitoring center for real-time analysis and fault decision-making by maintenance personnel.

[0052] The environmental parameter acquisition unit is located on the offshore wind turbine support structure and in the surrounding sea area to collect real-time data on changes in the surrounding environment. This unit includes an anemometer, wave height meter, ocean current sensor, and water level gauge. The anemometer is fixedly installed on the top of the wind turbine nacelle to detect wind speed changes; the wave height meter and ocean current sensor are respectively located in the middle of the support structure and near sea level to measure wave height and current velocity; the water level gauge is installed on the outside of the support piles or jacket columns to monitor changes in sea level. Each sensor is equipped with a corrosion-resistant sealed housing to withstand long-term use in the marine environment. The environmental parameter acquisition unit is connected to the central data processing unit 2 via a data cable or short-range wireless communication to transmit the collected environmental information to the central data processing unit for unified processing and analysis.

[0053] This utility model achieves comprehensive real-time monitoring, simulation analysis, and dynamic visualization management of the status of offshore wind power support structures through the coordinated operation of the support structure monitoring unit 1, environmental data acquisition, central data processing unit 2, adaptive digital twin modeling, multi-functional visualization display terminal 4, and power supply module 3. It effectively improves the health management level of offshore wind turbine support structures and solves the problems of scattered monitoring methods, poor real-time performance, insufficient visualization, and poor environmental adaptability in existing technologies.

[0054] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. It will be apparent to those skilled in the art that this utility model is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or basic characteristics of this utility model. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of this utility model is defined by the appended claims rather than the foregoing description, and thus all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this utility model. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0055] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of this utility model and should not be used to limit the scope of protection of this utility model. Any modifications made to the technical solutions based on the technical concept proposed by this utility model shall fall within the scope of protection of the claims of this utility model.

Claims

1. A digital twin visualization monitoring device for offshore wind power support structures, characterized in that, It includes a support structure monitoring unit, an environmental parameter acquisition unit, a central data processing unit, an adaptive digital twin modeling module, a power supply module, a communication module, and a multi-functional visualization display terminal; The support structure monitoring unit includes a modular integrated sensor comprising strain sensors, acceleration sensors, and tilt angle sensors, installed at key nodes of the offshore wind power support structure for real-time monitoring of the structure's stress state, vibration characteristics, and attitude changes. The environmental parameter acquisition unit includes an anemometer, wave height meter, ocean current sensor, and water level gauge, respectively installed on the support structure and its surrounding environment to acquire wind speed, wave height, ocean current, and water level information. The central data processing unit is located inside the protective enclosure and includes a data acquisition module, an edge computing module, and a data storage module for processing the data acquired by the environmental parameter acquisition unit. The data is processed and cached; the adaptive digital twin modeling module is integrated into the central data processing unit and is used to dynamically update the three-dimensional simulation model of the support structure based on the collected data; the power supply module includes solar panels and energy storage battery packs, with the solar panels mounted on the top of the support structure via brackets and the energy storage battery packs installed inside the protective enclosure to provide an independent and stable power supply; the communication module includes a 5G communication module and a satellite communication module to realize remote transmission of monitoring data; the multi-functional visualization display terminal is set in the substation monitoring room or remote control center to display the status of the support structure and environmental change information in real time.

2. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The modular integrated sensor is fixed to key nodes of the support structure via a magnetic or snap-fit ​​structure and is encapsulated in a corrosion-resistant alloy shell.

3. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The anemometer is installed on the top of the wind turbine nacelle, the wave height meter and ocean current sensor are located in the middle of the support structure and near the sea level, and the water level gauge is installed on the support pile or the jacket column.

4. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The central data processing unit is internally arranged with data acquisition modules, edge computing modules, and data storage modules in functional compartments.

5. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The adaptive digital twin modeling module dynamically adjusts the virtual simulation model parameters of the support structure based on real-time force data, vibration data, and tilt data.

6. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The solar panels in the power supply module are fixed to the top of the support structure by an aluminum alloy bracket, which can withstand a level 12 wind load and maintain independent power supply capability for more than seven days in continuous rainy conditions.

7. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The energy storage battery pack is installed inside the protective enclosure, and the charging and discharging status of the battery is controlled by the charging and discharging management system to maintain the stable operation of the power supply system.

8. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The 5G communication module and the satellite communication module in the communication module adopt a redundant backup design, and automatically switch to the satellite communication link when the 5G communication is interrupted.

9. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The multi-functional visualization display terminal uses a high-brightness touch screen with salt spray resistance treatment, and displays the stress distribution, vibration mode and environmental parameter change curves of the support structure based on three-dimensional dynamic graphics.

10. The digital twin visualization monitoring device for offshore wind power support structures according to claim 1, characterized in that, The adaptive digital twin modeling module has a built-in intelligent learning unit that can optimize the accuracy of simulation modeling based on historical monitoring data and improve the accuracy of the health status assessment of the supporting structure.