On-site environmental analysis interactive system based on wind power generation technology

Abstract

The present invention belongs to the technical field of wind power generation management, and specifically is a field environment analysis interactive system based on wind power generation technology, comprising a wind power generation field detection module, an intelligent processing and analysis module, a decision output module, a control analysis and evaluation module and a human-computer interaction interface module; the present invention collects environmental parameter data of the wind power generation field in real time through the wind power generation field detection module, the intelligent processing and analysis module processes and analyzes the received environmental parameter data, the decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and in combination with the operating status of the wind turbine, and reasonably judges the instruction execution performance of the wind turbine through the control analysis and evaluation module, and performs interactive delay detection and analysis when generating reasonable control signals, which significantly reduces the workload and work difficulty of operators, is conducive to ensuring the safe and stable operation of the wind turbine and improving the power generation, and has a high level of intelligence and automation.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation management, in particular to a field environment analysis interactive system based on wind power generation technology. Background Art

[0002] With the rapid development of wind power generation technology, the scale of wind power generation systems is getting larger and larger, and the operating conditions are becoming more and more complex. In the actual operation of wind power generation systems, the performance and efficiency of wind power generation systems are significantly affected by the on-site environment.

[0003] At present, the analysis and management of the wind power generation site environment is mainly completed manually, which makes it difficult to analyze the wind power generation site environment in real time and provide interactive decision support, and it is impossible to accurately judge the control performance of wind turbines and the response status during human-machine interaction, which increases the workload and difficulty of operators, is not conducive to ensuring the safe, stable and efficient operation of wind turbines, and has a low level of intelligence and automation;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an interactive system for on-site environmental analysis based on wind power generation technology, which solves the problems that the prior art is difficult to analyze the wind power generation on-site environment in real time and provide interactive decision support, and is unable to accurately judge the control performance of the wind turbine and the reaction status during human-computer interaction, and has a large workload and work difficulty, and a low level of intelligence and automation.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The on-site environment analysis interactive system based on wind power generation technology includes a wind power generation on-site detection module, an intelligent processing and analysis module, a decision output module, a control analysis and evaluation module, and a human-computer interaction interface module;

[0008] The wind power generation site detection module collects the environmental parameter data of the wind power generation site in real time, and sends the environmental parameter data of the wind power generation site to the intelligent processing and analysis module; the intelligent processing and analysis module processes and analyzes the received environmental parameter data through intelligent algorithms, extracts key information and generates analysis results, and sends the analysis results to the decision output module;

[0009] The decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and the operating conditions of the wind turbine, and sends the decision suggestions to the human-computer interaction interface module;

[0010] The human-computer interaction interface module displays the analysis results and decision suggestions to the operator in a visual way. The operator can view the environmental parameter data, wind turbine operation status and decision suggestion information of the wind power generation site in real time through the human-computer interaction interface module, and perform operations and adjustments as needed;

[0011] The control analysis and evaluation module is used to judge the command execution performance of the wind turbine when the operator controls the wind turbine through the human-computer interaction interface module, and generate a reasonable control signal or an abnormal control signal, and send the reasonable control signal or the abnormal control signal to the human-computer interaction interface module. The human-computer interaction interface module displays the reasonable control signal or the abnormal control signal and issues a corresponding warning when receiving the abnormal control signal.

[0012] Furthermore, the human-computer interaction interface module is communicatively connected with the underground environment early warning module. The underground environment early warning module obtains the underground area that needs to be monitored at the location of the wind turbine and marks it as the target area. The underground environment risk of the target area is judged through analysis, and an underground environment early warning signal or an underground environment safety signal is generated accordingly. The underground environment early warning signal or the underground environment safety signal is sent to the human-computer interaction interface module. The human-computer interaction interface module displays the underground environment early warning signal or the underground environment safety signal and issues a corresponding early warning when receiving the underground environment early warning signal.

[0013] Furthermore, the specific operation process of the underground environment early warning module includes:

[0014] The soil water level data in the target area is collected, and the difference between the soil water level data and the median of the preset suitable soil water level data range is calculated and the absolute value is taken to obtain the soil water condition value, and the looseness of the soil in the target area is collected and marked as the soil looseness value, and the vibration amplitude data and vibration frequency data of the target area are collected and the sum of the two is marked as the soil vibration value;

[0015] The type of corrosive substances to be monitored in the target area is obtained, and the concentration of the corresponding type of corrosive substances is marked as a corrosion concentration value. A set of preset weight values ​​is set in advance for each type of corrosive substance, and the product of the corrosion concentration value of the corresponding type of corrosive substance and the corresponding preset weight value is marked as a corrosion hazard value. The corrosion hazard values ​​of all types of corrosive substances in the target area are summed up to obtain a soil corrosion value;

[0016] The underground risk detection value is obtained by numerically calculating the soil water condition value, soil looseness value, soil vibration value and soil corrosion value. The preset underground risk detection threshold value suitable for the wind turbine is obtained through analysis. The underground risk detection value is numerically compared with the corresponding preset underground risk detection threshold value. If the underground risk detection value exceeds the preset underground risk detection threshold value, an underground environment early warning signal is generated; if the underground risk detection value does not exceed the preset underground risk detection threshold value, an underground environment safety signal is generated.

[0017] Furthermore, the specific analysis process of obtaining the preset underground risk detection threshold value adapted to the wind turbine is as follows:

[0018] The generator variation value of the wind turbine is retrieved, and several groups of preset generator variation value ranges are set in advance, and each group of preset generator variation value ranges corresponds to a group of preset underground risk detection thresholds, and the generator variation value is compared with all the preset generator variation value ranges one by one, and the preset generator variation value range containing the corresponding generator variation value is marked as the target range, and the preset underground risk detection threshold corresponding to the target range is marked as the preset underground risk detection threshold adapted for the wind turbine.

[0019] Furthermore, the underground environment early warning module is communicatively connected to the wind turbine external inspection module, which collects the inclination angle and settlement amount of the wind turbine and marks them as the generator inclination inspection value and the generator settlement inspection value respectively; and collects the actual positions of several detection points on the wind turbine, marks the displacement of the actual position of the corresponding detection point compared to its preset initial position as the movement value, and calculates the average of the movement values ​​of all the detection points to obtain the generator movement inspection value;

[0020] The generator variation value is obtained by numerically calculating the generator tilt detection value, the generator sinking detection value and the generator moving detection value, and the generator variation value is sent to the underground environment early warning module and the human-computer interaction interface module.

[0021] Furthermore, the specific operation process of the manipulation analysis and evaluation module is as follows:

[0022] Set a detection period, obtain all control instructions issued by the operator through the human-machine interaction interface module during the detection period, and classify all control instructions; if the wind turbine completes the corresponding adjustment for the corresponding control instruction within the corresponding specified time, the corresponding control instruction is assigned the excellent table symbol LP-1;

[0023] The number of control instructions assigned with the excellent symbol LP-1 in the corresponding type of control instructions is marked as the control type measurement value, and the control type measurement value is calculated by ratio with the total number of control instructions of the corresponding type in the detection cycle to obtain the control type analysis value, and the difference between the prescribed duration and the actual completion duration of the corresponding control instructions assigned with the excellent symbol LP-1 is marked as the command execution interval value, and the average of all the command execution interval values ​​of the corresponding type of control instructions is calculated to obtain the command execution excellent value;

[0024] The control class condition value is obtained by numerically calculating the control class measurement value, the control class analysis value and the command execution value of the corresponding type of control instruction, and the control class condition value is numerically compared with the preset control class condition threshold value. If the control class condition value does not exceed the preset control class condition threshold value, the corresponding type of control instruction is marked as a difficult-to-adjust instruction;

[0025] If there are difficult-to-adjust instructions during the detection period, a control abnormality signal is generated.

[0026] Furthermore, if there is no difficult-to-adjust instruction during the detection period, the ratio of the control condition value of the corresponding type of control instruction to the corresponding preset control condition threshold is marked as the control detection value, the control detection values ​​of all types of control instructions are averaged to obtain the control detection value, and the control detection value with the smallest value is marked as the control low amplitude value;

[0027] The control evaluation value is obtained by numerically calculating the control inspection value and the control low amplitude value, and the control evaluation value is numerically compared with the preset control evaluation threshold. If the control evaluation value exceeds the preset control evaluation threshold, a control qualification signal is generated; if the control evaluation value does not exceed the preset control evaluation threshold, a control abnormality signal is generated.

[0028] Furthermore, the manipulation analysis and evaluation module is communicatively connected with the interaction delay detection module. The manipulation analysis and evaluation module sends the manipulation qualification signal to the interaction delay detection module. When receiving the manipulation qualification signal, the interaction delay detection module performs interaction delay detection analysis on the human-computer interaction interface module, generates an interaction high-latency signal or an interaction low-latency signal through analysis, and sends the interaction high-latency signal or the interaction low-latency signal to the human-computer interaction interface module. The human-computer interaction interface module displays the interaction high-latency signal or the interaction low-latency signal and issues a corresponding warning when receiving the interaction high-latency signal.

[0029] Furthermore, the specific analysis process of interaction delay detection and analysis is as follows:

[0030] Obtain all display delay durations of the human-computer interaction interface module during the detection period, calculate the average of all display delay durations to obtain a display delay value, and mark the proportion of display delay durations exceeding a preset display delay duration threshold as a display high delay value;

[0031] And obtain all receiving buffer durations of the human-machine interaction interface module when the operator operates the human-machine interaction interface module during the detection period, calculate the average of all receiving buffer durations to obtain a receiving buffer value, and mark the number of receiving buffer durations exceeding a preset receiving buffer duration threshold as a receiving high buffer value;

[0032] The interaction delay coefficient is obtained by numerically calculating the display delay value, display high delay value, receiving delay value and receiving high delay value, and the interaction delay coefficient is numerically compared with the preset interaction delay coefficient threshold. If the interaction delay coefficient exceeds the preset interaction delay coefficient threshold, an interaction high delay signal is generated; if the interaction delay coefficient does not exceed the preset interaction delay coefficient threshold, an interaction low delay signal is generated.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In the present invention, the environmental parameter data of the wind power generation site is collected in real time through the wind power generation site detection module, the intelligent processing and analysis module processes and analyzes the received environmental parameter data, and the decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and the operation status of the wind turbine. The control analysis and evaluation module reasonably judges the command execution performance of the wind turbine, and performs interactive delay detection and analysis when generating reasonable control signals, which significantly reduces the workload and work difficulty of operators, is conducive to ensuring the safe and stable operation of the wind turbine and improving the power generation, and has a high level of intelligence and automation;

[0035] 2. In the present invention, the wind turbine external inspection module is used for analysis to accurately feedback the degree of external hidden dangers of the wind turbine, which is conducive to the operator to inspect and improve the wind turbine in time, and provide data support for the underground environmental risk detection and analysis process to ensure the accuracy of its analysis results. As well as the underground environmental early warning module, the underground environmental risk of the location of the wind turbine can be reasonably judged and early warning feedback can be given in time, which can significantly improve the operating safety of the wind turbine and further reduce the workload and difficulty of the operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0037] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0038] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Embodiment 1: Figure 1 As shown, the on-site environment analysis interactive system based on wind power generation technology proposed by the present invention includes a wind power generation on-site detection module, an intelligent processing and analysis module, a decision output module, a control analysis and evaluation module and a human-computer interaction interface module;

[0041] The wind power generation site detection module collects the environmental parameter data (such as wind speed, wind direction, temperature, etc.) of the wind power generation site in real time, and sends the environmental parameter data of the wind power generation site to the intelligent processing and analysis module; the intelligent processing and analysis module processes and analyzes the received environmental parameter data through intelligent algorithms, extracts key information and generates analysis results, and sends the analysis results to the decision output module; it should be noted that the specific processing and analysis steps of the intelligent processing and analysis module are as follows:

[0042] Data reception: Receive environmental parameter data from the wind power generation site detection module, including wind speed, wind direction, temperature and other key environmental parameters of the wind power generation site, and conduct preliminary verification on the received data to ensure the integrity and accuracy of the data;

[0043] Data preprocessing: Clean the received raw data, remove duplicate, erroneous or abnormal data points to ensure the accuracy of subsequent analysis, and perform necessary conversion and standardization on the data according to the analysis needs, such as converting data in different units into a unified unit, or standardizing the data to the same range for comparison and analysis;

[0044] Intelligent algorithm analysis: According to the needs of wind power generation site environmental analysis, appropriate intelligent algorithms are selected for analysis, including machine learning algorithms, deep learning algorithms or specific data analysis models; key features are extracted from pre-processed data using intelligent algorithms, including the distribution of wind speed, the trend of wind direction changes, and the fluctuation of temperature and humidity; clustering algorithms or classification algorithms are used to further process the extracted key features. For example, the C-means clustering algorithm can be used to cluster wind speed data to identify different wind speed patterns;

[0045] Extraction of key information: Based on the analysis results of intelligent algorithms, key information of the wind power generation site is identified, which may include the optimal range of wind speed, the optimal direction of wind direction, the appropriate range of temperature and humidity, etc. The extracted key information is integrated into a unified data structure and presented to users through visualization means (such as charts, reports, etc.), so that users can intuitively understand the environmental conditions of the wind power generation site and provide support for decision-making.

[0046] The decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and the operating status of the wind turbine, and sends the decision suggestions to the human-computer interaction interface module; for example, when it is predicted that the wind speed will decrease, it is recommended that the operator adjust the speed and blade angle of the wind turbine in advance to improve the energy capture efficiency. When the ambient temperature is detected to be too high, it is recommended to start the cooling system to reduce the temperature of the wind turbine to prevent the equipment from overheating and damage.

[0047] The human-computer interaction interface module displays the analysis results and decision-making suggestions to the operator in a visual manner. The operator can view the environmental parameter data of the wind power generation site, the operating status of the wind turbine and the decision-making suggestion information in real time through the human-computer interaction interface module, and perform operations and adjustments as needed (such as adjusting the speed and blade angle of the wind turbine, and adjusting the cooling and heat dissipation of the wind turbine, etc.), reducing the workload and difficulty of the operator, ensuring the safe and stable operation of the wind turbine and maximizing the power generation, with a high level of intelligence and automation.

[0048] The control analysis and evaluation module is used to judge the command execution performance of the wind turbine when the operator controls the wind turbine through the human-machine interface module, and generate a reasonable control signal or an abnormal control signal, and send the reasonable control signal or the abnormal control signal to the human-machine interface module. The human-machine interface module displays the reasonable control signal or the abnormal control signal and issues a corresponding early warning when receiving the abnormal control signal. It can reasonably analyze and accurately feedback the operator's command execution performance status to remind the operator to conduct a cause investigation in time and take corresponding improvement measures to ensure the subsequent control performance of the wind turbine, thereby improving the subsequent operation safety and stability of the wind turbine. The specific operation process of the control analysis and evaluation module is as follows:

[0049] A detection period is set, preferably, the detection period is twenty days; all control instructions issued by the operator through the human-machine interaction interface module during the detection period are obtained, and all control instructions are classified (such as cooling instructions, blade angle adjustment instructions, etc.); if the wind turbine completes the corresponding adjustment for the corresponding control instruction within the corresponding specified time, indicating that the execution efficiency of the corresponding control instruction is relatively fast, then the corresponding control instruction is assigned an excellent symbol LP-1;

[0050] The number of control instructions assigned with the excellent symbol LP-1 in the corresponding type of control instructions is marked as the control type measurement value, and the control type measurement value is calculated by ratio with the total number of control instructions of the corresponding type in the detection cycle to obtain the control type analysis value, and the difference between the prescribed duration and the actual completion duration of the corresponding control instructions assigned with the excellent symbol LP-1 is marked as the command execution interval value, and the average of all the command execution interval values ​​of the corresponding type of control instructions is calculated to obtain the command execution excellent value;

[0051] pass The control class measured value LK, the control class analysis value LM and the command execution value LR of the corresponding type of control instruction are numerically calculated to obtain the control class condition value LX, wherein hk1, hk2 and hk3 are preset proportional coefficients, hy2>hk3>hk1>0.35; and the larger the value of the control class condition value LX, the better the execution efficiency performance for the corresponding type of control instruction;

[0052] Compare the control condition value LX with the preset control condition threshold. If the control condition value LX does not exceed the preset control condition threshold, it indicates that the execution efficiency of the corresponding type of control instruction during the detection period is poor and the control difficulty is high, and the corresponding type of control instruction is marked as a difficult-to-adjust instruction.

[0053] If there is a difficult-to-adjust instruction during the detection period, a control abnormality signal is generated; if there is no difficult-to-adjust instruction during the detection period, the ratio of the control condition value of the corresponding type of control instruction to the corresponding preset control condition threshold is marked as the control detection value, the control detection values ​​of all types of control instructions are averaged to obtain the control detection value, and the control detection value with the smallest value is marked as the control low amplitude value;

[0054] The control evaluation value CX is obtained by numerically calculating the control condition value CW and the control low amplitude value CF through the formula CX=(uk1*CW+uk2*CF) / 2, wherein uk1 and uk2 are preset proportional coefficients with values ​​greater than zero, and the smaller the value of the control evaluation value CX is, the worse the command execution performance of the wind turbine is during the detection period.

[0055] The control evaluation value CX is numerically compared with the preset control evaluation threshold. If the control evaluation value CX exceeds the preset control evaluation threshold, it indicates that the command execution performance of the wind turbine during the detection period is generally good, and a control qualification signal is generated; if the control evaluation value CX does not exceed the preset control evaluation threshold, it indicates that the command execution performance of the wind turbine during the detection period is generally poor, and there is a greater safety risk in the subsequent operation process, and a control abnormality signal is generated.

[0056] Further, the manipulation analysis and evaluation module is communicatively connected with the interaction delay detection module, the manipulation analysis and evaluation module sends the manipulation qualification signal to the interaction delay detection module, and the interaction delay detection module performs interaction delay detection and analysis on the human-computer interaction interface module upon receiving the manipulation qualification signal, generates an interaction high delay signal or an interaction low delay signal through analysis, and sends the interaction high delay signal or the interaction low delay signal to the human-computer interaction interface module;

[0057] The human-machine interaction interface module displays the high-latency interactive signal or the low-latency interactive signal and issues a corresponding warning when receiving the high-latency interactive signal, so as to remind the operator to inspect and repair the human-machine interaction interface module, and ensure the timeliness of its subsequent display warning, so as to ensure the timeliness of subsequent control of the wind turbine; the specific analysis process of the interactive delay detection and analysis is as follows:

[0058] Obtain all display delay durations of the human-computer interaction interface module during the detection period (i.e., the interval between the time when the human-computer interaction interface module receives the corresponding information and the time when the display starts), calculate the average of all display delay durations to obtain a display delay value, and mark the proportion of display delay durations that exceed a preset display delay duration threshold as a display high delay value;

[0059] And obtain all receiving buffer durations of the human-machine interaction interface module when the operator operates the human-machine interaction interface module during the detection period (that is, the interval between the time when the operator issues a command and the time when the human-machine interaction interface module responds accordingly), calculate the average of all receiving buffer durations to obtain a receiving buffer value, and mark the number of receiving buffer durations that exceed a preset receiving buffer duration threshold as a receiving high buffer value;

[0060] By formula The display delay value YN, the display high delay value YQ, the receiving delay value YF and the receiving high delay value YG are numerically calculated to obtain the interaction delay coefficient YK, wherein g1, g2, g3, and g4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the interaction delay coefficient YK is, the worse the interaction performance of the human-computer interaction interface module is during the detection period;

[0061] The interaction delay coefficient YK is numerically compared with the preset interaction delay coefficient threshold. If the interaction delay coefficient YK exceeds the preset interaction delay coefficient threshold, it indicates that the interaction performance of the human-computer interaction interface module during the detection period is poor, and an interaction high delay signal is generated; if the interaction delay coefficient YK does not exceed the preset interaction delay coefficient threshold, it indicates that the interaction performance of the human-computer interaction interface module during the detection period is good, and a interaction low delay signal is generated.

[0062] Embodiment 2: Figure 2As shown, the difference between this embodiment and embodiment 1 is that the human-machine interaction interface module is connected to the underground environment early warning module in communication, and the underground environment early warning module obtains the underground area that needs to be monitored at the location of the wind turbine and marks it as the target area, and judges the underground environmental risk of the target area through analysis, and generates an underground environmental early warning signal or an underground environmental safety signal accordingly, and sends the underground environmental early warning signal or the underground environmental safety signal to the human-machine interaction interface module;

[0063] The human-computer interaction interface module displays the underground environment warning signal or underground environment safety signal and issues a corresponding warning when receiving the underground environment warning signal. By combining the underground environment risk detection and analysis and timely feedback warning, it can significantly improve the operation safety of wind turbines, further reduce the workload and work difficulty of operators, and has a high degree of intelligence. The specific operation process of the underground environment warning module is as follows:

[0064] The soil water level data in the target area is collected, wherein the safety risk brought by the soil water level data in the target area is small when it is within the corresponding suitable range, the soil water level data is calculated by difference with the median of the preset suitable soil water level data range and the absolute value is taken to obtain the soil water condition value, and the looseness of the soil in the target area is collected and marked as the soil looseness value, and the vibration amplitude data and vibration frequency data of the target area are collected and the sum of the two is marked as the soil vibration value; wherein, the smaller the values ​​of the soil looseness and the soil vibration value are, the smaller the safety risk brought;

[0065] The types of corrosive substances (such as chloride ions, sulfate ions, etc.) to be monitored in the target area are obtained, and the concentrations of the corresponding types of corrosive substances are marked as corrosion concentration values. A set of preset weight values ​​is set in advance for each type of corrosive substance, wherein the preset weight values ​​are all positive numbers, and the stronger the corrosion ability of the corresponding type of corrosive substance, the larger the value of the preset weight value adapted thereto; the product of the corrosion concentration value of the corresponding type of corrosive substance and the corresponding preset weight value is marked as a corrosion hazard value, and the corrosion hazard values ​​of all types of corrosive substances in the target area are summed up and calculated to obtain a soil corrosion value;

[0066] By formula The soil water condition value DS, soil looseness value DT, soil vibration value DZ and soil corrosion value DF are numerically calculated to obtain the underground risk detection value DX, wherein re1, re2, re3 and re4 are preset proportional coefficients, and re4>re2>re3>re1>0; and the larger the value of the underground risk detection value DX, the worse the underground environment performance of the wind turbine is, and the greater the potential hidden danger to the safe operation of the wind turbine;

[0067] The preset underground risk detection threshold value adapted to the wind turbine is obtained through analysis, specifically: the generator variation value of the wind turbine is retrieved, several groups of preset generator variation value ranges are set in advance, and each group of preset generator variation value ranges corresponds to a group of preset underground risk detection threshold values, wherein the larger the value of the preset generator variation value range is, the smaller the value of the corresponding preset underground risk detection threshold value is;

[0068] The generator variation value is compared with all preset generator variation value ranges one by one, the preset generator variation value range containing the corresponding generator variation value is marked as the target range, and the preset underground risk detection threshold corresponding to the target range is marked as the preset underground risk detection threshold adapted to the wind turbine. By allocating the matching preset underground risk detection threshold, the accuracy of the underground risk detection analysis results can be significantly improved;

[0069] The underground risk detection value DX is numerically compared with the corresponding preset underground risk detection threshold. If the underground risk detection value DX exceeds the preset underground risk detection threshold, it indicates that the underground environment at the location of the wind turbine is poor, and the potential hidden dangers to the safe operation of the wind turbine are large, then an underground environment early warning signal is generated; if the underground risk detection value DX does not exceed the preset underground risk detection threshold, it indicates that the underground environment at the location of the wind turbine is good, then an underground environment safety signal is generated.

[0070] Embodiment 3: Figure 2 As shown, the difference between this embodiment and embodiment 1 and embodiment 2 is that the underground environment early warning module is communicatively connected to the wind turbine external inspection module, the wind turbine external inspection module collects the inclination angle and settlement of the wind turbine and marks them as the generator inclination inspection value and the generator settlement inspection value respectively; and collects the actual positions of several detection points on the wind turbine, marks the displacement of the actual position of the corresponding detection point compared to its preset initial position as the movement value, and calculates the average of the movement values ​​of all the detection points to obtain the generator movement inspection value;

[0071] The generator tilt inspection value FN, the generator sink inspection value FR and the generator shift inspection value FM are numerically calculated by the formula FY=(a1*FN+a2*FR+a3*FM) / 3 to obtain the generator variable value FY, wherein a1, a2 and a3 are preset proportional coefficients, a1>a2>a3>0; and the larger the value of the generator variable value FY is, the greater the degree of safety hazard of the wind turbine is; and sending the generator variable value FY to the underground environment early warning module and the human-computer interaction interface module can not only accurately feedback the degree of external hazard of the wind turbine, which is beneficial for the operator to inspect and improve the wind turbine in time, but also provide data support for the underground environment risk detection and analysis process to ensure the accuracy of its analysis results.

[0072] The working principle of the present invention is as follows: when in use, the environmental parameter data of the wind power generation site is collected in real time through the wind power generation site detection module, the intelligent processing and analysis module processes and analyzes the received environmental parameter data through an intelligent algorithm, the decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and in combination with the operation status of the wind turbine, the human-machine interaction interface module displays the analysis results and decision suggestions to the operator in a visual manner, the operator operates and adjusts according to needs, reduces the workload and work difficulty of the operator, ensures the safe and stable operation of the wind turbine and increases the power generation as much as possible, and has a high level of intelligence and automation; and when the operator controls the wind turbine through the human-machine interaction interface module through the control analysis and evaluation module, the instruction execution performance of the wind turbine is judged, and when generating a reasonable control signal, the human-machine interaction interface module is subjected to interactive delay detection and analysis through the interactive delay detection module, and an interactive high delay signal or an interactive low delay signal is generated through analysis, which is conducive to the operator to make corresponding improvement measures in a timely and targeted manner, and further ensures the operation safety of the wind turbine.

[0073] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The on-site environment analysis interactive system based on wind power generation technology is characterized by: It includes wind power generation on-site detection module, intelligent processing and analysis module, decision output module, control analysis and evaluation module and human-computer interaction interface module; The wind power generation site detection module collects the environmental parameter data of the wind power generation site in real time, and sends the environmental parameter data of the wind power generation site to the intelligent processing and analysis module; The intelligent processing and analysis module processes and analyzes the received environmental parameter data through intelligent algorithms, extracts key information and generates analysis results, and sends the analysis results to the decision output module; The decision output module provides targeted decision suggestions based on the analysis results of the intelligent processing and analysis module and the operating conditions of the wind turbine, and sends the decision suggestions to the human-computer interaction interface module; The human-machine interaction interface module displays the analysis results and decision suggestions to the operator in a visual manner. The control analysis and evaluation module is used to judge the command execution performance of the wind turbine when the operator controls the wind turbine through the human-machine interaction interface module, and generate a reasonable control signal or an abnormal control signal, and send the reasonable control signal or the abnormal control signal to the human-machine interaction interface module; The human-machine interaction interface module is connected to the underground environment early warning module in communication. The underground environment early warning module obtains the underground area that needs to be monitored at the location of the wind turbine and marks it as the target area. The underground environment risk of the target area is determined through analysis, and an underground environment early warning signal or an underground environment safety signal is generated accordingly. The underground environment early warning signal or the underground environment safety signal is sent to the human-machine interaction interface module. The specific operation process of the underground environment early warning module includes: The soil water level data in the target area is collected, and the difference between the soil water level data and the median of the preset suitable soil water level data range is calculated and the absolute value is taken to obtain the soil water condition value, and the looseness of the soil in the target area is collected and marked as the soil looseness value, and the vibration amplitude data and vibration frequency data of the target area are collected and the sum of the two is marked as the soil vibration value; The type of corrosive substances to be monitored in the target area is obtained, and the concentration of the corresponding type of corrosive substances is marked as a corrosion concentration value. A set of preset weight values ​​is set in advance for each type of corrosive substance, and the product of the corrosion concentration value of the corresponding type of corrosive substance and the corresponding preset weight value is marked as a corrosion hazard value. The corrosion hazard values ​​of all types of corrosive substances in the target area are summed up to obtain a soil corrosion value; By formula The soil water condition value DS, soil looseness value DT, soil vibration value DZ and soil corrosion value DF are numerically calculated to obtain the underground risk detection value DX, wherein re1, re2, re3 and re4 are preset proportional coefficients, and re4>re2>re3>re1>0; the preset underground risk detection threshold value adapted to the wind turbine is obtained through analysis, and the underground risk detection value is numerically compared with the corresponding preset underground risk detection threshold value. If the underground risk detection value exceeds the preset underground risk detection threshold value, an underground environmental early warning signal is generated; if the underground risk detection value does not exceed the preset underground risk detection threshold value, an underground environmental safety signal is generated; The specific analysis process of obtaining the preset underground risk detection threshold value suitable for wind turbines through analysis is as follows: Retrieve the generator variation value of the wind turbine, set several groups of preset generator variation value ranges in advance, and each group of preset generator variation value ranges corresponds to a group of preset underground risk detection thresholds, compare the generator variation value with all preset generator variation value ranges one by one, mark the preset generator variation value range containing the corresponding generator variation value as the target range, and mark the preset underground risk detection threshold corresponding to the target range as the preset underground risk detection threshold adapted to the wind turbine; The underground environment early warning module is communicatively connected to the wind turbine external inspection module, which collects the inclination angle and settlement amount of the wind turbine and marks them as the generator inclination inspection value and the generator settlement inspection value respectively; and collects the actual positions of several detection points on the wind turbine, marks the displacement of the actual position of the corresponding detection point compared to its preset initial position as the movement value, and calculates the average of the movement values ​​of all detection points to obtain the generator displacement inspection value; The generator tilt detection value FN, the generator sink detection value FR and the generator shift detection value FM are numerically calculated by the formula FY=(a1*FN+a2*FR+a3*FM) / 3 to obtain the generator variation value FY, wherein a1, a2 and a3 are preset proportional coefficients, a1>a2>a3>0; and the generator variation value is sent to the underground environment early warning module and the human-computer interaction interface module.

2. The on-site environment analysis interactive system based on wind power generation technology according to claim 1 is characterized in that: The specific operation process of the manipulation analysis and evaluation module is as follows: Set a detection period, obtain all control instructions issued by the operator through the human-machine interaction interface module during the detection period, and classify all control instructions; if the wind turbine completes the corresponding adjustment for the corresponding control instruction within the corresponding specified time, the corresponding control instruction is assigned the excellent table symbol LP-1; The number of control instructions assigned with the excellent symbol LP-1 in the corresponding type of control instructions is marked as the control type measurement value, and the control type measurement value is calculated by ratio with the total number of control instructions of the corresponding type in the detection cycle to obtain the control type analysis value, and the difference between the prescribed duration and the actual completion duration of the corresponding control instructions assigned with the excellent symbol LP-1 is marked as the command execution interval value, and the average of all the command execution interval values ​​of the corresponding type of control instructions is calculated to obtain the command execution excellent value; pass The control class measured value LK, the control class analysis value LM and the command execution value LR of the corresponding type of control instruction are numerically calculated to obtain the control class condition value LX, wherein hk1, hk2 and hk3 are preset proportional coefficients, hy2>hk3>hk1>0.35; the control class condition value is numerically compared with the preset control class condition threshold value, and if the control class condition value does not exceed the preset control class condition threshold value, the corresponding type of control instruction is marked as a difficult-to-adjust instruction; If there are difficult-to-adjust instructions during the detection period, a control abnormality signal is generated.

3. The on-site environment analysis interactive system based on wind power generation technology according to claim 2 is characterized in that: If there is no difficult-to-adjust instruction during the detection period, the ratio of the control condition value of the corresponding type of control instruction to the corresponding preset control condition threshold is marked as the control detection value, the control detection values ​​of all types of control instructions are averaged to obtain the control detection value, and the control detection value with the smallest value is marked as the control low amplitude value; The control inspection value CW and the control low amplitude value CF are numerically calculated using the formula CX=(uk1*CW+uk2*CF) / 2 to obtain the control evaluation value CX, where uk1 and uk2 are preset proportional coefficients whose values ​​are greater than zero. The control evaluation value is numerically compared with the preset control evaluation threshold. If the control evaluation value exceeds the preset control evaluation threshold, a control qualification signal is generated; if the control evaluation value does not exceed the preset control evaluation threshold, an abnormal control signal is generated.

4. The on-site environment analysis interactive system based on wind power generation technology according to claim 1 is characterized in that: The control analysis and evaluation module is communicatively connected with the interaction delay detection module. The control analysis and evaluation module sends the control qualification signal to the interaction delay detection module. When receiving the control qualification signal, the interaction delay detection module performs interaction delay detection analysis on the human-computer interaction interface module, generates an interaction high-latency signal or an interaction low-latency signal through analysis, and sends the interaction high-latency signal or the interaction low-latency signal to the human-computer interaction interface module.

5. The on-site environment analysis interactive system based on wind power generation technology according to claim 4 is characterized in that: The specific analysis process of interactive delay detection and analysis is as follows: Obtain all display delay durations of the human-computer interaction interface module during the detection period, calculate the average of all display delay durations to obtain a display delay value, and mark the proportion of display delay durations exceeding a preset display delay duration threshold as a display high delay value; And obtain all receiving buffer durations of the human-machine interaction interface module when the operator operates the human-machine interaction interface module during the detection period, calculate the average of all receiving buffer durations to obtain a receiving buffer value, and mark the number of receiving buffer durations exceeding a preset receiving buffer duration threshold as a receiving high buffer value; By formula The display delay value YN, the display high delay value YQ, the receiving delay value YF and the receiving high delay value YG are numerically calculated to obtain the interaction delay coefficient YK, wherein g1, g2, g3, and g4 are preset proportional coefficients whose values ​​are greater than zero; the interaction delay coefficient is numerically compared with the preset interaction delay coefficient threshold, and if the interaction delay coefficient exceeds the preset interaction delay coefficient threshold, an interaction high delay signal is generated; if the interaction delay coefficient does not exceed the preset interaction delay coefficient threshold, an interaction low delay signal is generated.

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