Temperature visualization method, device and equipment of wind power gear box and storage medium

Abstract

The application discloses a temperature visualization method, device and equipment of a wind power gear box and a storage medium. The method comprises the following steps: receiving temperature data sent by a wireless temperature recorder, wherein the temperature data is collected by a plurality of wireless temperature sensors arranged in the wind power gear box and sent to the wireless temperature recorder; calculating statistical data corresponding to temperature signals collected by each wireless temperature sensor according to the temperature data, wherein the statistical data comprises a sensor temperature average value and a sensor temperature maximum value; determining a gear box model of the wind power gear box and a deployment position of each wireless temperature sensor on the gear box model, generating a graphical control based on the statistical data of each wireless temperature sensor and visually displaying the corresponding deployment position on the gear box model. According to the scheme, the statistical results of the temperature sensors are combined with the gear box structure model, and the intuitive display of the multi-point temperature in the gear box is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power generation, and in particular to a temperature visualization method, device and equipment of a wind power gear box and a storage medium. BACKGROUND

[0002] With the continuous expansion of the wind power industry and the continuous improvement of the intelligent level of equipment, the stability and safety of wind power equipment under complex climate conditions and high load operation environment are facing severe challenges. Among them, the gear box as the core transmission component of the wind turbine, its working state has a significant impact on the running efficiency and life of the whole machine. In order to ensure the long-term stable operation of the equipment, the real-time monitoring demand of wind power enterprises on the temperature of multiple points in the gear box is increasing.

[0003] At present, the temperature monitoring of part of the wind power gear box still mainly depends on the traditional wired sensing architecture. This method has problems such as complex wiring, significant influence of electromagnetic interference, high maintenance cost and so on in actual application. Although some manufacturers have begun to try to introduce wireless temperature sensors and Internet of Things technology to improve the flexibility and maintainability of temperature monitoring, the existing solutions generally have technical bottlenecks such as unstable data transmission and limited data processing capacity, which are difficult to support the actual needs of wind farms for high-frequency, high-precision temperature sensing and intelligent response. SUMMARY

[0004] The present application provides a temperature visualization method, device and equipment of a wind power gear box and a storage medium, which can construct a visual graphical display model of the running state of the equipment in real time based on the data collected by the multiple wireless sensors in the gear box, realize multi-dimensional temperature monitoring of the key components of the gear box and spatial heat distribution presentation. The present application constructs a gear box heat sensing mechanism driven by sensor statistical data, supports low-delay data processing and visualization rendering at the edge gateway end, and improves the accuracy and immediacy of wind power equipment state sensing. This solution is particularly suitable for gear box monitoring scenarios with high requirements for wind power equipment operation safety and complex point distribution, can significantly enhance the cognition of operation and maintenance personnel on the thermal state of key parts of the equipment, improve the response efficiency, and promote the evolution of wind power operation and maintenance from static detection to real-time, visual, multi-point collaborative intelligent monitoring mode.

[0005] In a first aspect, the present application provides a temperature visualization method of a wind power gear box, comprising:

[0006] receiving temperature data sent by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors deployed inside the wind power gear box and sent to the wireless temperature recorder;

[0007] The temperature data is used to calculate statistical data corresponding to the temperature signals collected by each wireless temperature sensor, the statistical data including a sensor temperature average value and a sensor temperature maximum value;

[0008] A gear box model of the wind power gear box and a deployment position of each wireless temperature sensor on the gear box model are determined, and a graphical control is generated based on the statistical data of each wireless temperature sensor and is visually displayed at the corresponding deployment position on the gear box model.

[0009] In a second aspect, the present application provides a temperature visualization device for a wind power gear box, comprising:

[0010] A receiving module is configured to receive temperature data sent by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors deployed inside a wind power gear box and sent to the wireless temperature recorder;

[0011] A calculating module is configured to calculate statistical data corresponding to the temperature signals collected by each wireless temperature sensor based on the temperature data, the statistical data including a sensor temperature average value and a sensor temperature maximum value;

[0012] A display module is configured to determine a gear box model of the wind power gear box and a deployment position of each wireless temperature sensor on the gear box model, and generate a graphical control based on the statistical data of each wireless temperature sensor and visually display the graphical control at the corresponding deployment position on the gear box model.

[0013] In a third aspect, the present application provides a temperature visualization device for a wind power gear box, comprising:

[0014] One or more processors;

[0015] A memory storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the temperature visualization method for a wind power gear box as described in the first aspect.

[0016] In a fourth aspect, the present application provides a storage medium containing computer executable instructions, when the computer executable instructions are executed by a computer processor, the computer executable instructions are used to execute the temperature visualization method for a wind power gear box as described in the first aspect.

[0017] In this application, by constructing a multi-stage collaborative analysis link covering temperature data acquisition, edge side computing processing and model visualization display, combined with the binding mechanism of multi-point state statistics and spatial graphic control, the automatic processing and high-precision visualization expression of wind turbine gearbox internal temperature perception are realized. First, based on the wireless temperature sensor nodes deployed in multiple key positions inside the gearbox, temperature data under multi-point operating state are collected and transmitted in real time to the relay equipment, i.e. wireless temperature recorder, for centralized collection and forwarding. After the edge gateway receives the temperature data, according to the preset analysis logic, statistical calculation is performed on the temperature signals of each sensor, and key indicator data including temperature average value and temperature maximum value are generated, which reflect the distribution characteristics of the current thermal state of each monitoring point. On the basis of obtaining effective statistical results, the mapping position of the three-dimensional structure model of the gearbox and each sensor in the model space is further determined, the graphic control set of point-temperature data is constructed, and the visualization styles such as heat map, numerical label or color gradient are set according to different indicator values. The processed graphic controls are mounted on the gearbox model structure according to the deployment position, the visualization interface is dynamically refreshed, and the real-time display of the multi-point temperature state of the gearbox is realized. This method realizes the whole process closed-loop linkage from wireless data acquisition to structure modeling and state display, supports high-frequency, low-delay local computing and display rendering, significantly improves the recognition accuracy and response ability of the running temperature distribution of the wind power equipment operation and maintenance link, and is especially suitable for key component state monitoring and remote operation and maintenance management in complex and high-load environment of wind farms, and has good practicability and engineering popularization prospect. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a flowchart of a temperature visualization method of a wind turbine gearbox provided by an embodiment of the present application;

[0019] Figure 2 is a flowchart of a wind turbine gearbox temperature control method provided by an embodiment of the present application;

[0020] Figure 3 is a flowchart of a gearbox temperature maximum value calculation method provided by an embodiment of the present application;

[0021] Figure 4 is a flowchart of a temperature tolerance ratio calculation method provided by an embodiment of the present application;

[0022] Figure 5 is a flowchart of a wind turbine gearbox temperature data visualization method provided by an embodiment of the present application;

[0023] Figure 6 is a flowchart of a temperature data remote visualization method provided by an embodiment of the present application;

[0024] Figure 7 is a data link diagram of a temperature visualization method of a wind turbine gearbox provided by an embodiment of the present application;

[0025] Figure 8 is a structure block diagram of a temperature visualization device of a wind turbine gearbox provided by an embodiment of the present application;

[0026] Figure 9 is a structure schematic diagram of a temperature visualization device of a wind turbine gearbox provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purposes, technical solutions and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below with reference to the drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, but not all contents. Before discussing the example embodiments in more detail, it should be mentioned that some example embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when the operations are completed, but can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0028] The terms "first", "second", and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than that illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally a class, and do not limit the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims indicates at least one of the connected objects, and the character " / ", generally indicates that the objects before and after are in a "or" relationship.

[0029] With the continuous expansion of wind turbine capacity and the continuous growth of operating life, the operation safety of wind power equipment under various complex climates and high load working conditions faces higher challenges. As a key transmission component, the temperature change of the gearbox is directly related to its lubrication state, mechanical wear and system stability, so the multi-point, accurate and real-time temperature monitoring of the gearbox has become one of the core needs to ensure the reliable operation of wind power equipment.

[0030] At present, most wind turbine gearbox temperature monitoring still relies on traditional wired deployment methods, which have complex wiring, long maintenance cycle, and are susceptible to electromagnetic interference. In dynamic operating environment, there are problems of not timely response and high maintenance cost. Although some enterprises have tried to introduce wireless temperature sensors to improve monitoring flexibility, there are still obvious technical obstacles in wireless communication stability, data processing efficiency and compatibility with the original PLC system. The overall intelligent level and integration capability need to be improved. Especially in the application environment of wind farm with wide distribution, many nodes and high demand, the traditional scheme is difficult to realize continuous perception and fault warning of temperature state, which restricts the development of equipment digital operation and maintenance and predictive maintenance.

[0031] In view of the above challenges, the application constructs a wind turbine gearbox multi-point temperature wireless acquisition and processing mechanism with high integration and edge intelligence capability. It integrates wireless temperature monitoring sensors, Internet of Things communication platform, edge data processing unit and visual control interface to meet the demand of wind power key component operation state perception. The application can collect temperature data of multiple key points in the gearbox in real time without manual intervention, and extract key data indicators such as temperature average value, maximum value and abnormal point identification through local statistical analysis and abnormal identification algorithm. At the same time, the application constructs a three-dimensional gearbox structure model, binds the sensor position and statistical data, realizes the spatial mapping and visual presentation of multi-point temperature state, and helps the operation and maintenance personnel to quickly identify the heat source abnormality and fault trend.

[0032] On this basis, the application supports local fusion and remote linkage transmission of multi-source data, can write the processing results in CSV format into memory or peripheral storage, and interconnect with the field control system through Modbus protocol, further realizes the closed-loop application of high-frequency temperature monitoring results in operation and maintenance decision, early warning mechanism and control response. The application effectively improves the real-time, accuracy and visualization level of wind power equipment state monitoring, is suitable for large-scale deployment and intelligent operation and maintenance scene of wind farm, and has significant engineering value and industrial popularization prospect.

[0033] The temperature visualization method of the wind turbine gearbox provided in the embodiment can be executed by a temperature visualization device of the wind turbine gearbox, which can be realized by software and / or hardware, and can be composed of two or more physical entities or one physical entity. For example, the temperature visualization device of the wind turbine gearbox can be an edge gateway server for maintaining normal operation of business.

[0034] The temperature visualization device of the wind power gear box is installed with at least one type of operating system, wherein the operating system includes but is not limited to an Android system, a Linux system and a Windows system. The temperature visualization device of the wind power gear box can install at least one application program based on the operating system, and the application program can be an application program provided by the operating system or an application program downloaded from a third-party device or server. In this embodiment, the temperature visualization device of the wind power gear box has at least an application program that can execute the temperature visualization method of the wind power gear box.

[0035] For ease of understanding, this embodiment takes the operation and maintenance server as an example to describe the subject executing the temperature visualization method of the wind power gear box.

[0036] Figure 1 A flowchart of the temperature visualization method of the wind power gear box provided by the embodiment of the present application is given. Referring to Figure 1 , the temperature visualization method of the wind power gear box specifically includes:

[0037] S110, receiving temperature data sent by a wireless temperature recorder, wherein the temperature data is collected by a plurality of wireless temperature sensors arranged in the wind power gear box and sent to the wireless temperature recorder.

[0038] In one embodiment, the temperature data sent by the wireless temperature recorder is first received, wherein the temperature data is used to represent thermal state information of a plurality of temperature measurement points in the wind power gear box, the wireless temperature recorder refers to a wireless collection device used to centrally receive and forward temperature sensor data, and the wireless temperature sensor arranged in the gear box refers to a micro wireless sensing unit responsible for real-time monitoring of temperature changes of key components in the gear box. In this process, the wireless temperature sensor sends the collected raw temperature data to the wireless temperature recorder located outside the gear box or at the edge of the shell through near-field or medium-range wireless communication methods such as Zigbee, Sub-GHz, BLE, etc. The recorder aggregates and forwards to the upper monitoring system or edge computing node, realizing remote sensing and monitoring of the internal thermal state of the wind power equipment.

[0039] In one embodiment, the temperature data refers to a structured data packet including a timestamp, a sensor number and a current temperature value, which is used to support subsequent data analysis, alarm judgment and predictive maintenance.

[0040] In one embodiment, the temperature data can be received in the following ways: listening to the broadcast channel of the specified frequency band through the wireless access module, or polling data collection based on the binding network topology, so as to ensure the real-time and reliability of multi-point synchronous temperature measurement.

[0041] S120, calculate statistical data corresponding to the temperature signal collected by each wireless temperature sensor according to the temperature data, the statistical data including a sensor temperature average and a sensor temperature maximum.

[0042] In one embodiment, according to the received temperature data, statistical data corresponding to the temperature signal collected by each wireless temperature sensor is calculated. The temperature signal refers to a numerical sequence representing the local thermal state inside the wind turbine gearbox over time, and the statistical data reflects the aggregation characteristics of the sequence within a certain period, so as to monitor trends, identify abnormalities, or trigger alarm mechanisms. The statistical data includes a sensor temperature average and a sensor temperature maximum, which are used to describe the overall level and extreme change degree of the sensor collected data within a selected time window. The temperature average refers to the arithmetic mean result of the temperature signal within a specified sampling period, and the temperature maximum refers to the highest temperature observation value within the period.

[0043] In one embodiment, the temperature average can be calculated by summing all temperature data collected by the sensor within a specified time window and dividing the sample number to obtain a stability indicator reflecting the temperature rise trend.

[0044] In one embodiment, the temperature maximum can be calculated by performing a maximum value extraction operation on all temperature records within the same time window, which is an important basis for identifying overheating risks and critical working conditions.

[0045] Optionally, Figure 2 A flowchart of a wind turbine gearbox temperature control method provided by an embodiment of the application is given, referring to Figure 2 The wind turbine gearbox temperature control method specifically includes:

[0046] S121, determine a gearbox temperature maximum of the wind turbine gearbox based on the statistical data.

[0047] Illustratively, based on the statistical data corresponding to each wireless temperature sensor, a gearbox temperature maximum of the wind turbine gearbox is determined. The statistical data is used to represent the temperature characteristic values collected by each sensor within a specified period, and the gearbox temperature maximum is used to represent the highest temperature point monitored in the entire gearbox system within the current operating period, which is an important reference index for overheating detection and fault warning. The temperature maximum can reflect the heat concentration degree of the gearbox under high load, abnormal lubrication, or local wear and tear, and has important operation and maintenance diagnostic value.

[0048] In one embodiment, the gearbox temperature maximum can be determined by extracting a global maximum value from the temperature maximum set of all wireless temperature sensors as the overall highest temperature representation of the current period of the gearbox.

[0049] In one embodiment, the temperature maximum value can be used as a high temperature mark of a subsequent graphical control, a color mapping threshold setting or an alarm strategy trigger condition, to enhance the response sensitivity and visual intuitiveness of the temperature monitoring system.

[0050] Optionally, Figure 3 A flowchart of a gear box temperature maximum value calculation method provided by the embodiments of the present application is given, referring to Figure 3 The gear box temperature maximum value calculation method specifically includes:

[0051] S1211, calculating a gear box temperature average value of the wind power gear box according to the sensor temperature average values.

[0052] Illustratively, the gear box temperature average value of the wind power gear box is calculated according to the temperature average values of the respective wireless temperature sensors. The sensor temperature average value is used to represent the stable temperature level of each independent monitoring point within a set time window, and the gear box temperature average value is used to represent the average level of the overall thermal state of the entire gear box system, which is an important index for evaluating the thermal load distribution and the stability of the running environment of the gear box. The gear box temperature average value can be used as a basic parameter for setting the thermal balance analysis, cooling efficiency evaluation and preventive maintenance strategy.

[0053] In one embodiment, the gear box temperature average value can be calculated by arithmetically averaging the temperature average values of all the wireless temperature sensors deployed inside the gear box, to obtain the overall thermal balance result within the current statistical period.

[0054] In one embodiment, the gear box temperature average value can also be compared with the historical running data to determine whether the current thermal state is within the normal running interval, or used to generate trend charts, thermal stability scores and other upper layer visualization and decision modules.

[0055] S1212, determining a temperature tolerance ratio of the wind power gear box, and determining a gear box temperature confidence interval of the wind power gear box based on the temperature tolerance ratio and the gear box temperature average value.

[0056] Illustratively, the temperature tolerance ratio of the wind power gear box is determined, and based on the temperature tolerance ratio and the gear box temperature average value, the temperature confidence interval of the gear box is determined. The temperature tolerance ratio is used to represent the allowable temperature fluctuation range of the gear box under normal running conditions, the gear box temperature average value reflects the central tendency of the overall thermal state of the gear box, and the temperature confidence interval is used to define the credible interval range of the temperature change of the gear box, which is a key basis for judging whether the temperature rise is abnormal. Through the calculation of the temperature confidence interval, early identification of local overheating, sudden deviation and other phenomena can be achieved, and the sensitivity and accuracy of the gear box thermal state monitoring can be improved.

[0057] In one embodiment, the temperature tolerance ratio can be determined by setting a static ratio value based on the gearbox structural characteristics, material thermal limit parameters, or historical operating temperature distribution, or by dynamically adjusting it according to the standard deviation of temperature changes.

[0058] In one embodiment, the temperature confidence interval can be calculated by using the average gearbox temperature as the center and calculating the upper and lower limits according to the range of fluctuation, for example:

[0059] Temperature confidence interval = [T avg ×(1-r),T avg ×(1+r)]

[0060] Where T avg represents the average temperature, and r represents the temperature tolerance percentage.

[0061] This confidence interval can serve as the basis for setting color scales for graphical controls, determining dynamic warning thresholds, or developing thermal stability scoring models.

[0062] Optionally, Figure 4 A flowchart of a method for calculating temperature tolerance ratio provided in an embodiment of this application is given, with reference to... Figure 4 The specific calculation method for this temperature tolerance ratio includes:

[0063] S12121. Obtain historical temperature data of the wind turbine gearbox within a preset time window, and calculate the historical temperature standard deviation based on the historical temperature data.

[0064] For example, historical temperature data of the wind turbine gearbox within a preset time window is acquired. This historical temperature data characterizes the temperature change records collected by each wireless temperature sensor within that time window, reflecting the long-term thermal state trend and fluctuation characteristics of the gearbox. The historical temperature standard deviation is calculated based on the historical temperature data. This standard deviation characterizes the dispersion and fluctuation amplitude of the temperature data and is an important statistical indicator for measuring the temperature stability and anomaly detection of the gearbox.

[0065] In one embodiment, historical temperature data can be obtained by extracting all sensor temperature records within the corresponding time period from the temperature data storage module or database, ensuring data integrity and time continuity.

[0066] In one embodiment, the standard deviation of historical temperature can be calculated by summing the squares of the differences between each sensor temperature value and its mean in the historical temperature dataset, dividing by the number of samples, and taking the square root to obtain the standard deviation of the overall temperature fluctuation, which can be used for subsequent temperature tolerance ratio setting or dynamic threshold adjustment.

[0067] S12122, determine a temperature tolerance ratio of the wind power gearbox based on the historical temperature standard deviation.

[0068] For example, the temperature tolerance ratio of the wind power gearbox is determined based on the historical temperature standard deviation. The historical temperature standard deviation is used to represent the fluctuation range of the temperature data of the gearbox within a preset time window, and the temperature tolerance ratio is used to define the allowable variation range of the temperature of the gearbox, which is an important parameter for realizing dynamic temperature threshold setting and anomaly detection. By calculating the temperature tolerance ratio using the historical temperature standard deviation, the temperature monitoring system can adapt to the dynamic changes of the operating environment of the gearbox, and improve the identification sensitivity and accuracy of abnormal temperature rise.

[0069] In one embodiment, the temperature tolerance ratio can be determined by multiplying the historical temperature standard deviation by a preset ratio coefficient to obtain a dynamically adjusted temperature tolerance ratio, for example:

[0070] Temperature tolerance ratio = k x standard deviation

[0071] Where k is a safety factor or confidence level factor set according to experience.

[0072] In one embodiment, the temperature tolerance ratio can be used as a basis for calculating the temperature confidence interval, thereby assisting in the formulation of temperature anomaly early warning and equipment maintenance strategies.

[0073] S1213, determine a gearbox temperature maximum value of the wind power gearbox based on the gearbox temperature confidence interval and the sensor temperature maximum value.

[0074] For example, the gearbox temperature maximum value of the wind power gearbox is determined based on the gearbox temperature confidence interval and the maximum temperature value collected by each wireless temperature sensor. The gearbox temperature confidence interval is used to represent the reasonable fluctuation range of the overall temperature of the gearbox, and the maximum temperature value of the sensor reflects the extreme temperature condition of each measurement point. The combination of the two is used to comprehensively evaluate the current highest temperature state of the gearbox, supporting anomaly detection and early warning decision-making. This temperature maximum value takes into account both the overall temperature trend and local temperature mutations, ensuring sensitive identification of potential thermal faults.

[0075] In one embodiment, the gearbox temperature maximum value can be determined by comparing the maximum temperature value of each wireless temperature sensor with the upper limit of the confidence interval. If the maximum value of the sensor exceeds the confidence interval, the exceeding value is taken as the gearbox temperature maximum value. Otherwise, the upper limit of the confidence interval is used as an estimate of the temperature maximum value.

[0076] In one embodiment, the determination result can be used to adjust the high-temperature warning display of the graphical control, trigger an automatic alarm mechanism, or guide the execution of subsequent maintenance solutions.

[0077] S122, in the case that the gearbox temperature maximum value is greater than a preset temperature threshold, sending the gearbox temperature maximum value to a remote IO module, the remote IO module generating a current control signal based on the gearbox temperature maximum value and sending to a PLC device, the PLC device controlling the wind power gearbox based on the current control signal.

[0078] For example, when the gearbox temperature maximum value is greater than a preset temperature threshold, the temperature maximum value is sent to a remote IO module. The gearbox temperature maximum value reflects the current highest temperature state of the wind power gearbox, and the temperature threshold is a set safety upper limit. Exceeding the threshold indicates a potential overheating risk. After receiving the temperature maximum value, the remote IO module generates a corresponding current control signal based on the value, which is used to drive the control logic of the back-end PLC device. The current control signal instructs the PLC to perform specific control operations to deal with the temperature anomaly of the gearbox.

[0079] In one embodiment, the remote IO module can generate a current control signal by mapping the temperature value to the amplitude of the current signal, using an analog output or a digital control interface to realize real-time adjustment instruction transmission to the PLC.

[0080] In one embodiment, the PLC device executes control measures on the wind power gearbox based on the current control signal, including but not limited to adjusting the starting state of the cooling system, adjusting the running load, or triggering the safety shutdown program, thereby ensuring the safe operation of the device and prolonging the service life.

[0081] Optionally, after calculating the statistical data corresponding to each temperature signal collected by each wireless temperature sensor based on the temperature data, the method further comprises:

[0082] Converting the temperature data into a temperature structure file in CSV format, storing the temperature structure file locally, and sending the statistical data to a remote IO module.

[0083] For example, the temperature data is converted into a temperature structure file in CSV format and stored locally. The temperature structure file is used to save sensor numbers, timestamps, temperature values and other key information in a standardized table format, facilitating subsequent data management and analysis. In addition, the statistical data is sent to a remote IO module, which can perform further data processing or control operations based on the received statistical information.

[0084] In one embodiment, the temperature data can be converted into a CSV file by writing the temperature records collected by each sensor into a text file in a predefined data field order, with fields separated by commas, supporting cross-platform data exchange.

[0085] In one embodiment, the way of sending the statistical data to the remote IO module can be: issuing in a data packet or command format through a wired or wireless communication interface, ensuring real-time transmission and effective reception of the statistical data.

[0086] S130, determining a gearbox model of the wind turbine gearbox and a deployment position of each wireless temperature sensor on the gearbox model, generating a graphical control based on the statistical data of each wireless temperature sensor and visualizing the corresponding deployment position on the gearbox model.

[0087] In one embodiment, the gearbox model of the wind turbine gearbox and the deployment position of each wireless temperature sensor on the gearbox model are determined, and a graphical control is generated based on the statistical data of each wireless temperature sensor and visualized at the corresponding deployment position on the gearbox model. The gearbox model is used to represent the structural configuration and component spatial layout of the wind turbine gearbox, the deployment position is used to represent the mounting point of each wireless temperature sensor in the actual physical structure, and the graphical control is used to graphically present the visual elements of the sensor temperature state. By binding the temperature statistical data with the three-dimensional structure model, the spatial distribution visualization of the thermal state in the gearbox can be realized, thereby assisting the operation and maintenance personnel to quickly identify the high temperature area and potential fault points.

[0088] In one embodiment, the gearbox model can be determined by calling a pre-modeled CAD geometric structure file or loading a standard gearbox structure of the corresponding model through a parameterized template.

[0089] In one embodiment, the deployment position can be determined by binding the sensor index to the spatial point on the model node or surface according to the mapping relationship between the sensor installation position information and the model coordinate system.

[0090] In one embodiment, the graphical control can be generated by dynamically rendering a color heat map, a numerical label or an animation marker based on the average or maximum value of the temperature in the statistical data, and embedding it into the corresponding sensor deployment position to realize real-time graphical display of the gearbox operating state.

[0091] Optionally, Figure 5 A flowchart of a wind turbine gearbox temperature data visualization method provided by an embodiment of the present application is given, referring to Figure 5 The wind turbine gearbox temperature data visualization method specifically includes:

[0092] S1301, obtaining a temperature interval of the wind turbine gearbox, the temperature interval including a low temperature interval, a normal temperature interval and a high temperature interval.

[0093] Exemplarily, a temperature interval of the wind power gear box is obtained, where the temperature interval includes a low temperature temperature interval, a normal temperature temperature interval, and a high temperature temperature interval. The temperature interval is used to represent the division range of different temperature states of the gear box in operation, to assist in classification and anomaly detection of temperature data. The low temperature temperature interval indicates that the gear box is in a lower temperature state, which usually corresponds to a cold start or low load operation stage of the device; the normal temperature temperature interval reflects the temperature range of the gear box in a safe and stable working state; and the high temperature temperature interval is used to indicate that the temperature of the gear box reaches or exceeds a warning threshold, and there may be a potential fault or overheating risk.

[0094] In one embodiment, the temperature interval can be obtained by reading a preset temperature threshold configuration file or dynamically generating interval division parameters based on historical operation data and device specifications.

[0095] In one embodiment, the temperature interval division result can be used for subsequent temperature monitoring alarm logic, graphical control color mapping, and operation and maintenance decision support.

[0096] S1302, a temperature pie chart is generated based on the temperature interval and the average sensor temperature of each wireless temperature sensor, and a temperature line chart is generated based on the temperature signal of each wireless temperature sensor.

[0097] Exemplarily, a temperature pie chart is generated based on the temperature interval and the average sensor temperature of each wireless temperature sensor. Meanwhile, a temperature line chart is generated based on the temperature signal of each wireless temperature sensor. The temperature interval is used to divide the classification range of the sensor temperature state, the temperature pie chart is used to visually display the number or proportion of sensors in different temperature intervals in the form of a sector proportion chart, and the overall thermal state distribution is reflected. The temperature line chart is used to display the temperature signal curve of each sensor changing with time, to assist in analyzing the temperature dynamic change trend and fluctuation rule.

[0098] In one embodiment, the temperature pie chart can be generated by counting the corresponding number according to the temperature interval category to which the average sensor temperature belongs, and drawing the proportion of each interval in the form of a pie chart, to realize visual expression of temperature distribution.

[0099] In one embodiment, the temperature line chart can be generated by taking time as the horizontal axis and temperature value as the vertical axis, and drawing the temperature change curve of each sensor in a preset time window, to support superposition and comparison of multi-sensor data, and facilitate abnormal trend analysis and historical comparison.

[0100] S1303, a graphical control is generated based on the temperature pie chart and the temperature line chart of each wireless temperature sensor, and is visually displayed at a corresponding deployment position on the gear box model.

[0101] Exemplarily, based on the temperature pie chart and the temperature line chart corresponding to each wireless temperature sensor, a graphic control is generated and visualized at the corresponding deployment position on the gear box model. The temperature pie chart and the temperature line chart are respectively used to express the classification distribution and the time variation trend of the sensor temperature state, and the graphic control refers to encapsulating these graphic elements into an interactive visual component. By associating the graphic control with the sensor deployment position in the gear box model, spatial mapping and dynamic display of the temperature data are realized, facilitating the operation and maintenance personnel to intuitively understand the temperature characteristics and variation of different monitoring points.

[0102] In one embodiment, the way of generating the graphic control can be: using a graphic rendering engine or a front-end visualization framework to convert the temperature pie chart and line chart data into an interactive chart component, supporting zooming, hovering tips and real-time updating functions.

[0103] In one embodiment, the visual display method of the graphic control can be: positioning the generated graphic component in the form of an overlay layer at the corresponding sensor position of the three-dimensional gear box model, realizing spatial temperature state identification and dynamic trend display.

[0104] Optionally, Figure 6 A flowchart of a temperature data remote visualization method provided by the embodiment is given, referring to Figure 6 The temperature data remote visualization method specifically includes:

[0105] S1304, generating a graphic control based on the statistical data of each wireless temperature sensor and merging the graphic control at the corresponding deployment position on the gear box model to obtain a display model.

[0106] Exemplarily, based on the statistical data of each wireless temperature sensor, a corresponding graphic control is generated and merged at the deployment position of each sensor on the gear box model, and finally a comprehensive display model is obtained. The statistical data includes key indicators such as the average value and the maximum value of the sensor temperature, and the graphic control refers to a graphic component for visualizing these statistical information. By spatially merging the actual installation positions of the graphic controls corresponding to each sensor on the three-dimensional gear box model, comprehensive visual display of the overall temperature state is realized, facilitating the operation and maintenance personnel to intuitively understand the thermal distribution and operating condition of the gear box from the overall and local dimensions.

[0107] In one embodiment, the way of generating the graphic control can be: using data visualization technology to dynamically render a color heat map, numerical annotation or animation effect according to the statistical data, enhancing the intuitiveness and information richness of the display.

[0108] In an embodiment, the way of merging the display model can be: superimposing or combining multiple graphical controls into a unified three-dimensional visualization layer, supporting interactive operation and dynamic refreshing, realizing overall control and accurate diagnosis of temperature monitoring of the wind turbine gearbox.

[0109] S1305, sending the display model to a Web server, for the Web server to control the terminal device to display the display model in the case that an access instruction of the terminal device is received.

[0110] Exemplarily, the display model is sent to a Web server, for the Web server to control the terminal device to display the display model when an access instruction of the terminal device is received. The display model is used for integrated display of statistical data of each wireless temperature sensor of the wind turbine gearbox and a visualization control thereof, the Web server refers to a network service platform with data storage, processing and forwarding functions, and the terminal device includes but is not limited to a PC, a tablet, a mobile phone and other intelligent terminals with browsing functions. Through the process, the terminal device can obtain and display a comprehensive visualization model of temperature monitoring of the wind turbine gearbox in real time based on a network access request, realizing remote monitoring and management.

[0111] In an embodiment, the way of sending the display model can be: uploading the model data to a server designated storage location through an HTTP / HTTPS protocol, ensuring data integrity and security.

[0112] In an embodiment, the way of the terminal device displaying the display model can be: loading model resources of the server side through a Web browser or a special client, presenting three-dimensional graphical controls and temperature state information by using a front-end rendering technology, and supporting interactive operation and dynamic updating.

[0113] Optionally, Figure 7 A data link diagram of a temperature visualization method of a wind turbine gearbox provided by an embodiment of the present application is given, reference is made to Figure 7The temperature visualization method of the wind power gear box involves devices including wireless temperature sensors, wireless temperature recorders, edge gateways, and remote IO modules. The wireless temperature sensors are deployed at multiple key monitoring points inside the wind power gear box and are responsible for collecting temperature data at each point inside the gear box in real time. The wireless temperature sensors send the collected temperature data to the wireless temperature recorder through a wireless communication protocol, such as Zigbee or BLE, to achieve multi-point wireless temperature data collection. The wireless temperature recorder wirelessly receives the temperature data sent by the wireless temperature sensors and performs local data caching and storage. It transmits the aggregated temperature data to the edge gateway through a customized Modbus RTU interface to achieve centralized forwarding of data. The edge gateway is responsible for receiving the temperature data transmitted by the wireless temperature recorder and running a pre-installed customized JavaScript script to perform real-time processing and analysis of the data. The specific processing flow of the edge gateway includes: calculating the average and maximum values of the temperature data in a 10-second time window for each monitoring point, using a customized algorithm to eliminate abnormal data, and finally obtaining the maximum temperature of the monitoring point. The processed data of the edge gateway is stored in the local memory, USB or SD card in CSV format. At the same time, the key temperature data is transmitted to the remote IO module through the Modbus TCP protocol. The edge gateway has a built-in visualization system that uses pie charts, bar charts, and curve graphs to visually display the temperature data. Through the internal integrated Web server, users can remotely access and monitor the temperature status of the gear box in real time through the Web browser on the computer, tablet, or mobile phone terminal device. The remote IO module receives the key temperature data transmitted by the edge gateway, converts the digital temperature data into a 4-20 mA standard current signal through the internal D / A conversion module, drives the on-site PLC device to perform related control logic processing, and realizes automatic control of the device based on temperature data.

[0114] More specifically, after the wireless temperature sensor is installed and started, it is automatically paired with the wireless temperature recorder, collects and wirelessly transmits temperature data to the recorder in real time; the wireless temperature recorder uploads the collected temperature data to the edge gateway through the Modbus RTU protocol; after receiving the data, the edge gateway completes the statistics and outlier elimination of the data through the built-in JavaScript script, calculates the average and maximum values of the temperature, and extracts the maximum temperature value of all monitoring points based on the algorithm; the processed data is stored in the local storage medium in CSV format, and the key data is transmitted to the remote IO module through the Modbus TCP protocol; the edge gateway uses the integrated visualization control to realize dynamic visualization of the temperature data, supports users to realize remote access and real-time monitoring through the Web browser; the remote IO module converts the received temperature data into a 4-20mA current signal to drive the on-site PLC device, and the PLC executes the corresponding temperature control logic according to the received signal to ensure the safe and stable operation of the gearbox.

[0115] In some embodiments, the method involves deploying multiple wireless temperature sensors inside a single wind turbine gear box, using 868MHz / 915MHz frequency bands for wireless data transmission, supporting a maximum transmission distance of 500 meters outdoors. The wireless temperature recorder supports simultaneous connection with up to 10 wireless sensors, and a single device can store millions of measurement data, meeting the needs of multi-point monitoring. A total of 10,000 collection points are supported, and users can flexibly expand the number of sensors according to their needs, realizing unified collection and processing of temperature data in multiple gear boxes within a certain area, avoiding additional investment in equipment, and simplifying maintenance procedures. The edge gateway supports custom JavaScript code, automatically analyzing all temperature data within 10 seconds for each monitoring point, calculating the average and maximum values. Based on the custom algorithm, outliers are removed, and the maximum temperature in the entire area is accurately calculated, providing a scientific basis for fault warning. The method supports exporting data in multiple file formats such as CSV and PDF, and storing them locally or on remote servers. It is compatible with multiple databases, including relational databases such as MySQL, SQL Server, and PostgreSQL, as well as time series databases such as influxDB, meeting the needs of historical data analysis and long-term storage. The method provides Canvas control support, allowing the creation of pie charts, bar charts, and line graphs through JavaScript, and users can freely customize the display content and style. The integrated web server eliminates the need for additional display devices, allowing users to access and view monitoring data in real time through browsers on mobile phones, tablets, and computers. The method supports mainstream industrial communication protocols such as OPC UA, Modbus, RS485 / 232, as well as analog and digital current / voltage signal transmission, enabling on-site data to flow within the factory network. It also supports HTTP, MQTT, WebSocket, and other protocols for uploading data to the cloud platform, promoting data sharing and remote management, and avoiding the formation of data silos. The method supports multi-terminal remote access, including computers, tablets, and mobile phones, with an interface layout that adapts to different device screen sizes, ensuring clear and convenient operation, and meeting the needs of multi-scenario monitoring. The method supports multi-level user permission management, allowing different permission users to access different visual interfaces, effectively protecting on-site data privacy and security. This solution effectively solves the core problems in traditional wind turbine gear box temperature monitoring, improves the real-time performance, reliability, and scalability of the system, significantly enhances the user's comprehensive control of the gear box status, realizes intelligent remote temperature monitoring and early warning, and has wide application prospects and promotional value.

[0116] On the basis of the above embodiments, Figure 8 is a structural block diagram of a temperature visualization device for a wind turbine gear box provided by an embodiment of the present application. Referring to Figure 8 , the temperature visualization device for a wind turbine gear box provided by the embodiment specifically includes a receiving module 21, a calculation module 22, and a display module 23.

[0117] The receiving module 21 is configured to receive temperature data transmitted by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors deployed inside a wind turbine gearbox and transmitted to the wireless temperature recorder; the calculating module 22 is configured to calculate statistical data corresponding to each temperature signal collected by each wireless temperature sensor according to the temperature data, the statistical data including a sensor temperature average value and a sensor temperature maximum value; and the displaying module 23 is configured to determine a gearbox model of the wind turbine gearbox and a deployment position of each wireless temperature sensor on the gearbox model, generate a graphical control based on the statistical data of each wireless temperature sensor, and visually display the graphical control at the corresponding deployment position on the gearbox model.

[0118] On the basis of the above-mentioned embodiments, the displaying module 23 includes: a temperature interval unit configured to obtain a temperature interval of the wind turbine gearbox, the temperature interval including a low-temperature temperature interval, a normal-temperature temperature interval, and a high-temperature temperature interval; a chart generating unit configured to generate a temperature pie chart based on the temperature interval and the sensor temperature average value corresponding to each wireless temperature sensor, and generate a temperature line chart based on the temperature signal corresponding to each wireless temperature sensor; and a visual display unit configured to generate a graphical control based on the temperature pie chart and the temperature line chart corresponding to each wireless temperature sensor, and visually display the graphical control at the corresponding deployment position on the gearbox model.

[0119] On the basis of the above-mentioned embodiments, the temperature visualization device of the wind turbine gearbox further includes: a gearbox temperature module configured to determine a gearbox temperature maximum value of the wind turbine gearbox based on the statistical data; and a temperature judgment module configured to, in a case where the gearbox temperature maximum value is greater than a preset temperature threshold value, transmit the gearbox temperature maximum value to a remote IO module, the remote IO module generates a current control signal based on the gearbox temperature maximum value and transmits the current control signal to a PLC device, and the PLC device controls the wind turbine gearbox based on the current control signal.

[0120] On the basis of the above-mentioned embodiments, the gearbox temperature module includes: a temperature average value unit configured to calculate a gearbox temperature average value of the wind turbine gearbox according to the sensor temperature average value; a temperature confidence interval unit configured to determine a temperature tolerance ratio of the wind turbine gearbox, and determine a gearbox temperature confidence interval of the wind turbine gearbox based on the temperature tolerance ratio and the gearbox temperature average value; and a temperature maximum value unit configured to determine a gearbox temperature maximum value of the wind turbine gearbox based on the gearbox temperature confidence interval and the sensor temperature maximum value.

[0121] On the basis of the above-mentioned embodiment, the temperature confidence interval unit comprises: a historical temperature standard deviation sub-unit configured to acquire historical temperature data of the wind power gearbox within a preset time window, and calculate a historical temperature standard deviation according to the historical temperature data; and a temperature tolerance ratio sub-unit configured to determine a temperature tolerance ratio of the wind power gearbox based on the historical temperature standard deviation.

[0122] On the basis of the above-mentioned embodiment, the display module 23 further comprises: a display model unit configured to generate a graphic control based on statistical data of each wireless temperature sensor and merge the graphic control at a corresponding deployment position on the gearbox model to obtain a display model; and a model sending unit configured to send the display model to a Web server, so that the Web server controls a terminal device to display the display model when receiving an access instruction of the terminal device.

[0123] On the basis of the above-mentioned embodiment, the temperature visualization device of the wind power gearbox further comprises: a temperature data processing module configured to convert the temperature data into a temperature structure file in a csv format file, locally store the temperature structure file, and send the statistical data to a remote IO module.

[0124] In summary, the temperature visualization device of the wind power gearbox provided by the embodiments of the present application integrates key functions such as data reception, statistical calculation and visualization display, and builds an intelligent temperature perception and display architecture with multi-source temperature data analysis, structured modeling and graphical mapping as the core. The device is composed of functional units such as a receiving module, a calculation module and a display module, forming a full-process visualization link from temperature data reception, information aggregation processing to graphical control generation and gearbox structure binding display, which significantly improves the perception efficiency of the wind power gearbox operating state and the intuitiveness of information expression.

[0125] The temperature visualization device of the wind power gearbox provided by the embodiments of the present application can be used to execute the temperature visualization method of the wind power gearbox provided by the above-mentioned embodiments, and has the corresponding functions and advantages.

[0126] Figure 9 FIG. 1 is a structural schematic diagram of a temperature visualization device of a wind power gearbox provided by an embodiment of the present application, which is referred to as Figure 9The temperature visualization device of the wind power gear box comprises a processor 31, a memory 32, a communication device 33, an input device 34 and an output device 35. The number of the processor 31 in the temperature visualization device of the wind power gear box can be one or more, and the number of the memory 32 in the temperature visualization device of the wind power gear box can be one or more. The processor 31, the memory 32, the communication device 33, the input device 34 and the output device 35 of the temperature visualization device of the wind power gear box can be connected through a bus or other means.

[0127] The memory 32 is a computer readable storage medium, which can be used to store software programs, computer executable programs and modules, such as program instructions / modules of the temperature visualization method of the wind power gear box according to any embodiment of the present application (for example, the receiving module 21, the computing module 22 and the displaying module 23 in the temperature visualization device of the wind power gear box). The memory 32 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and application programs required by at least one function; the data storage area can store data created according to the use of the device, etc. In addition, the memory 32 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device or other non-volatile solid-state memory device. In some examples, the memory can further include a memory remotely arranged with respect to the processor, which can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0128] The communication device 33 is used for data transmission.

[0129] The processor 31 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 32, that is, implements the above-mentioned temperature visualization method of the wind power gear box.

[0130] The input device 34 can be used to receive input digital or character information, and generate key signal input related to user settings and function control of the device. The output device 35 can include a display device such as a display screen.

[0131] The temperature visualization device of the wind power gear box provided above can be used to execute the temperature visualization method of the wind power gear box provided in the above-mentioned embodiments, and has corresponding functions and beneficial effects.

[0132] The embodiment of the present application further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute a temperature visualization method of a wind power gear box, the temperature visualization method comprising: receiving temperature data sent by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors arranged in the wind power gear box and sent to the wireless temperature recorder; calculating statistical data corresponding to a temperature signal collected by each wireless temperature sensor according to the temperature data, the statistical data comprising a sensor temperature average value and a sensor temperature maximum value; determining a gear box model of the wind power gear box and a deployment position of each wireless temperature sensor on the gear box model, and generating a graphical control based on the statistical data of each wireless temperature sensor and visually displaying the graphical control at the corresponding deployment position on the gear box model.

[0133] Storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include an installation medium, e.g., a CD-ROM, floppy disks, or tape device; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; or a non-volatile memory such as a magnetic medium (e.g., a hard disk or optical storage); registers, or other similar types of memory elements upon which instructions are stored and executed by a processing unit. The storage medium can also include other types of storage. For instance, the storage medium can also include a cache, or networked or standalone databases created with a database system software and stored on a computer system. Additionally, the storage medium can reside in a first computer system that is connected to a second computer system via a network (e.g., the Internet). The second computer system can provide program instructions to the first computer system for execution. The term "storage medium" can include two or more storage mediums that reside in different locations, e.g., in different computer systems that are connected over a network. The storage medium can store a program or programs that are executable by one or more processors (e.g., a computer program product).

[0134] Of course, the storage medium provided by the embodiment of the present application, the computer executable instructions of which are not limited to the above-mentioned temperature visualization method of the wind power gear box, can also execute the related operations in the temperature visualization method of the wind power gear box provided by any embodiment of the present application.

[0135] The temperature visualization device of the wind power gear box, the storage medium and the temperature visualization device of the wind power gear box provided in the above-mentioned embodiments can execute the temperature visualization method of the wind power gear box provided by any embodiment of the present application, and the technical details not described in the above-mentioned embodiments can be referred to the temperature visualization method of the wind power gear box provided by any embodiment of the present application.

[0136] The above merely describes the preferred embodiments of the present application and the technical principles applied. The present application is not limited to the specific embodiments herein, and various obvious changes, modifications and replacements made by those skilled in the art without departing from the scope of the present application shall not be excluded. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and more other equivalent embodiments can be included without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A temperature visualization method for a wind power gearbox, for an edge gateway, characterized in that, The method comprises the following steps: receiving temperature data sent by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors arranged in a wind turbine gearbox and sent to the wireless temperature recorder; calculating statistical data corresponding to the temperature signals collected by each wireless temperature sensor according to the temperature data, the statistical data including a sensor temperature average value and a sensor temperature maximum value; determining a gearbox temperature maximum value of the wind turbine gearbox based on the statistical data, comprising: calculating a gearbox temperature average value of the wind turbine gearbox according to the sensor temperature average value; determining a temperature tolerance ratio of the wind turbine gearbox, comprising: obtaining historical temperature data of the wind turbine gearbox within a preset time window, calculating a historical temperature standard deviation according to the historical temperature data, and determining the temperature tolerance ratio of the wind turbine gearbox based on the historical temperature standard deviation; determining a gearbox temperature confidence interval of the wind turbine gearbox based on the temperature tolerance ratio and the gearbox temperature average value; determining a gearbox temperature maximum value of the wind turbine gearbox based on the gearbox temperature confidence interval and the sensor temperature maximum value; in the case that the gearbox temperature maximum value is greater than a preset temperature threshold, sending the gearbox temperature maximum value to a remote IO module, the remote IO module generating a current control signal based on the gearbox temperature maximum value and sending the current control signal to a PLC device, the PLC device controlling the wind turbine gearbox based on the current control signal; determining a gearbox model of the wind turbine gearbox and a deployment position of each wireless temperature sensor on the gearbox model, and generating a graphical control based on the statistical data of each wireless temperature sensor and visually displaying the graphical control at the corresponding deployment position on the gearbox model.

2. The method of temperature visualization of a wind power gearbox according to claim 1, characterized in that, The method of generating a graphical control based on the statistical data of each wireless temperature sensor and visually displaying the graphical control at the corresponding deployment position on the gearbox model comprises: obtaining a temperature interval of the wind turbine gearbox, the temperature interval including a low-temperature temperature interval, a normal-temperature temperature interval, and a high-temperature temperature interval; generating a temperature pie chart based on the temperature interval and the sensor temperature average value corresponding to each wireless temperature sensor, and generating a temperature line chart based on the temperature signal corresponding to each wireless temperature sensor; generating a graphical control based on the temperature pie chart and the temperature line chart corresponding to each wireless temperature sensor and visually displaying the graphical control at the corresponding deployment position on the gearbox model.

3. The method of temperature visualization of a wind power gearbox according to claim 1, characterized in that, The method of generating a graphical control based on the statistical data of each wireless temperature sensor and visually displaying the graphical control at the corresponding deployment position on the gearbox model comprises: generating a graphical control based on the statistical data of each wireless temperature sensor and merging the graphical control at the corresponding deployment position on the gearbox model to obtain a display model; sending the display model to a Web server, so that the Web server controls a terminal device to display the display model when receiving an access instruction from the terminal device.

4. The method of temperature visualization of a wind power gearbox according to claim 1, characterized in that, After the step of calculating statistical data corresponding to the temperature signals collected by each wireless temperature sensor according to the temperature data, the method further comprises the following steps: Converting the temperature data into a temperature structure file in a csv format, storing the temperature structure file locally, and sending the statistical data to a remote IO module.

5. A temperature visualization device for a wind power gearbox, applied to the temperature visualization method for a wind power gearbox according to any one of claims 1-4, characterized in that, The method comprises the steps of: receiving temperature data sent by a wireless temperature recorder, the temperature data being collected by a plurality of wireless temperature sensors deployed inside a wind turbine gearbox and sent to the wireless temperature recorder; calculating statistical data corresponding to each temperature signal collected by each wireless temperature sensor according to the temperature data, the statistical data including a sensor temperature average value and a sensor temperature maximum value; the calculating module is further configured to determine a gearbox temperature maximum value of the wind turbine gearbox based on the statistical data, including: calculating a gearbox temperature average value of the wind turbine gearbox according to the sensor temperature average value; determining a temperature tolerance ratio of the wind turbine gearbox, including: obtaining historical temperature data of the wind turbine gearbox within a preset time window, calculating a historical temperature standard deviation according to the historical temperature data; determining the temperature tolerance ratio of the wind turbine gearbox based on the historical temperature standard deviation; determining a gearbox temperature confidence interval of the wind turbine gearbox based on the temperature tolerance ratio and the gearbox temperature average value; determining a gearbox temperature maximum value of the wind turbine gearbox based on the gearbox temperature confidence interval and the sensor temperature maximum value; in a case where the gearbox temperature maximum value is greater than a preset temperature threshold, sending the gearbox temperature maximum value to a remote IO module, the remote IO module generating a current control signal based on the gearbox temperature maximum value and sending the current control signal to a PLC device, the PLC device controlling the wind turbine gearbox based on the current control signal; a display module configured to determine a gearbox model of the wind turbine gearbox and deployment positions of each wireless temperature sensor on the gearbox model, generate a graphical control based on the statistical data of each wireless temperature sensor, and visually display the graphical control at the corresponding deployment positions on the gearbox model.

6. A temperature visualisation device for a wind turbine gearbox, characterised in that, The method comprises the steps of: one or more processors; a memory storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the wind turbine gearbox temperature visualization method according to any one of claims 1-4.

7. A storage medium containing computer-executable instructions, wherein: The computer executable instructions, when executed by a computer processor, are used to perform the wind turbine gearbox temperature visualization method according to any one of claims 1-4.

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