A power system inspection method based on environmental information

Abstract

The present application relates to the technical field of power system fixed inspection, more specifically to a power system fixed inspection method based on environmental information, comprising: S1, detecting the temperature of flanges of each part of the wind turbine, and taking the part with higher temperature as the key detection part; S2, detecting and obtaining the flange pressure value and temperature data of the key detection part; S3, calculating the pressure threshold of the flange according to the position and temperature data of the flange; S4, analyzing and judging the relaxation state of the bolt according to the flange pressure value and pressure threshold of each key detection part; S5, adjusting the fixed inspection date of the power system according to the analysis result; the flange temperature and pressure are monitored, the relaxation degree of the bolt of the wind turbine is effectively judged through the pressure value of the flange; the fixed inspection cycle is adjusted according to the relaxation ratio, the damage of the equipment caused by the untimely fixed inspection is prevented, and the stability of the operation of the wind turbine is improved.

Description

Technical Field

[0001] This invention relates to the field of power system scheduled maintenance technology, and more specifically to a power system scheduled maintenance method based on environmental information. Background Technology

[0002] With the development of the wind power industry, the current mainstream maintenance model is dynamic maintenance plus annual scheduled inspections. Scheduled inspections are mostly outsourced, and the timing of these inspections is mostly based on the scheduled inspection plan and cannot be adjusted according to the actual situation of the wind turbine.

[0003] During wind turbine operation, a large amount of heat is generated, resulting in high temperatures. Generally, high temperatures reduce the strength of materials, leading to a certain degree of relaxation. Bolts operating at high temperatures for extended periods will gradually deform and experience stress relaxation. When creep occurs, the bolt length increases, leading to an increased distance between the nuts on both sides of the bolt, resulting in reduced flange pressure and decreased sealing performance. When stress relaxation occurs, elastic deformation transforms into plastic deformation. At this point, due to the decrease in elastic strain, the bolt axial force decreases, the flange pressure also decreases, and the sealing performance further deteriorates.

[0004] Under high temperatures, the temperature difference between the flange and the bolts causes them to expand at different rates, which can affect the tightening of the bolts.

[0005] Therefore, how to adjust the scheduled maintenance cycle of wind turbines according to the actual conditions inside the wind turbine is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a power system scheduled maintenance method based on environmental information. By detecting flange temperature and pressure, the method analyzes and predicts the degree of bolt loosening of wind turbine generators, thereby adjusting the scheduled maintenance cycle of wind turbine generators, avoiding equipment damage caused by untimely scheduled maintenance, and improving the operational stability of wind turbine generators.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] Preferably, the above-mentioned method for scheduled maintenance of power systems based on environmental information includes:

[0009] S1, detect the temperature of the flanges of various parts of the wind turbine, and focus on the parts with higher temperatures.

[0010] S2, detect and acquire the flange pressure value and temperature data of the key detection area;

[0011] S3, calculate the pressure threshold of the flange based on the flange's location and temperature data;

[0012] S4. Based on the flange pressure value and pressure threshold of each key detection point, analyze and judge the loosening state of the bolts.

[0013] S5, adjust the scheduled maintenance date of the power system based on the analysis and judgment results.

[0014] Preferably, in the above-mentioned power system scheduled maintenance method based on environmental information, the step of calculating the pressure threshold of the flange based on the flange location and temperature data includes:

[0015] S31, obtain historical scheduled maintenance data of wind turbine generators, filter the pressure values ​​of the flange before the historical scheduled maintenance based on the location of the flange, and generate a pressure value curve that changes over time.

[0016] S32, based on the changing trend of the pressure value curve, predict and analyze the pressure value of the next scheduled inspection to obtain the predicted pressure value and the first prediction time;

[0017] S33, based on the current flange temperature data, predicted pressure value and predicted time, the pressure threshold of the flange is obtained through analysis.

[0018] Preferably, in the above-mentioned power system scheduled maintenance method based on environmental information, the step of analyzing the current flange temperature data and predicted pressure value to obtain the flange pressure threshold includes:

[0019] S341, acquire historical data on flange temperature changes and generate a flange temperature curve that changes over time;

[0020] S342, Based on the current time point, determine the current temperature change trend in the flange temperature change curve;

[0021] S343, based on the flange temperature change trend and local weather information, predictive analysis of flange temperature change is performed to obtain flange temperature prediction curve;

[0022] S344, based on historical data, generates a table corresponding to changes in temperature and flange pressure values;

[0023] S345, based on the table of temperature and flange pressure value changes, the flange temperature prediction curve and the current flange pressure value, adjust the first prediction time for the flange to reach the predicted pressure value to obtain the second prediction time;

[0024] S346, determine the pressure threshold of the flange based on the pressure value curve and the second prediction time.

[0025] Preferably, in the above-mentioned power system scheduled inspection method based on environmental information, the determination of the looseness state of the bolts includes:

[0026] S41, preset the number of flange sampling samples, evenly sample flanges in the key inspection areas, and test the pressure of the flanges;

[0027] S42, compare the test pressure value of the flange with the pressure threshold of the flange. If the test pressure value of the flange is less than the pressure threshold, it is determined that the bolts on the flange are in a loose state.

[0028] S43, the number of flanges with bolts in a relaxed state is the number of low-pressure flanges.

[0029] Preferably, in the above-mentioned power system scheduled maintenance method based on environmental information, the pressure detection of the flange includes:

[0030] S411, uniformly select flanges in the key inspection parts of the wind turbine as flanges to be tested, each key inspection part has at least one flange to be tested, and number the flanges to be tested;

[0031] S412, multiple pressure sensors, with their pressure-sensitive elements positioned below the flange under test; multiple temperature sensors, with their detection components fixedly connected to the portion of the flange under test near the bolts;

[0032] S413, multiple signal conversion devices are respectively connected to the pressure sensor and the temperature sensor corresponding to each of the flanges under test, and one signal conversion device is connected to one pressure sensor and one temperature sensor to convert pressure information and temperature information into digital information;

[0033] S414, collect the temperature and pressure data of all the flanges under test into the fan processor through the switch;

[0034] S415, the wind turbine processor transmits data to the server in the monitoring center via a data transmission device;

[0035] S416, The server presets the correspondence between the pressure sensor and temperature sensor numbers and the flange numbers, presets the flange numbers and flange location information, and analyzes and judges the data in the server.

[0036] Preferably, in the above-mentioned power system scheduled maintenance method based on environmental information, adjusting the scheduled maintenance date of the power system according to the analysis and judgment results includes:

[0037] Based on the total number of flanges and the number of samples in the key inspection areas inside the wind turbine, a first quantity threshold and a second quantity threshold are set, wherein the first quantity threshold is less than the second quantity threshold.

[0038] If the number of low-pressure flanges is less than the first quantity threshold, the scheduled maintenance date of the wind turbine remains unchanged.

[0039] If the number of low-pressure flanges is greater than the first quantity threshold but less than the second quantity threshold, the scheduled inspection date will be adjusted forward.

[0040] If the number of low-pressure flanges exceeds the second quantity threshold, a bolt loosening alarm is generated, and the wind turbine is immediately subjected to routine inspection.

[0041] Preferably, in the above-mentioned power system scheduled maintenance method based on environmental information, the step of adjusting the scheduled maintenance date forward includes:

[0042] The system sets a detection cycle, a scheduled inspection cycle, and an adjustment cycle, wherein the adjustment cycle is within the scheduled inspection cycle and is at the end of the scheduled inspection cycle; the detection cycle is within the scheduled inspection cycle and is at the beginning of the scheduled inspection cycle; the detection cycle and the adjustment cycle do not overlap.

[0043] Timing begins at the start of the scheduled inspection cycle. During the period before the scheduled inspection time reaches the adjustment cycle:

[0044] If the number of low-pressure flanges does not exceed the first quantity threshold and is less than the second quantity threshold within the detection cycle, the scheduled inspection will proceed normally.

[0045] If the number of low-pressure flanges exceeds the first quantity threshold but is less than the second quantity threshold during the detection cycle, the scheduled inspection time will be adjusted to the beginning of the adjustment cycle.

[0046] During the time period when the scheduled inspection time reaches the aforementioned adjustment cycle:

[0047] If the number of low-pressure flanges does not exceed the first quantity threshold and is less than the second quantity threshold within the adjustment cycle, the scheduled inspection time reaches the scheduled inspection cycle structure and the scheduled inspection of the wind turbine is started. After the scheduled inspection, the scheduled inspection time is reset.

[0048] If the number of low-pressure flanges exceeds the first threshold value but is less than the second threshold value during the adjustment cycle, the wind turbine generator shall be immediately inspected, and the inspection time shall be reset after the inspection.

[0049] Preferably, the above-mentioned method for scheduled maintenance of power systems based on environmental information further includes:

[0050] The server also presets an alarm threshold for the flange. If the detection threshold of the flange is less than the alarm threshold, a relaxation alarm message is generated, and the alarm flange is immediately inspected. The alarm message includes the flange number and location.

[0051] As can be seen from the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0052] 1. By monitoring flange temperature and pressure, different pressure thresholds are calculated for flanges at different locations. The pressure values ​​of the flanges are used to effectively determine the degree of looseness of the wind turbine bolts. The pressure thresholds are then adjusted based on the wind turbine's temperature, improving the accuracy of bolt assessment. The scheduled maintenance cycle is adjusted according to the looseness ratio to prevent damage to the equipment caused by untimely maintenance, thus improving the operational stability of the wind turbine. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0054] Figure 1 The attached figure is a flowchart illustrating the method of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0057] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0058] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0059] This invention discloses a method for scheduled maintenance of power systems based on environmental information, comprising:

[0060] S1, detect the temperature of the flanges of various parts of the wind turbine, and focus on the parts with higher temperatures.

[0061] The typical temperature range for a wind turbine is -40℃ to +100℃. Since the generator is sealed inside the nacelle, the surface temperature can reach as high as +100℃, making the mounting flanges and bolts on the wind turbine susceptible to high temperatures. Externally, due to air convection, high temperatures are generally not generated, so monitoring only the flanges experiencing high temperatures is necessary.

[0062] S2, detect and obtain flange pressure and temperature data for key inspection areas;

[0063] S3, calculate the pressure threshold of the flange based on the flange's location and temperature data;

[0064] S4. Analyze and judge the loosening state of the bolts based on the flange pressure value and pressure threshold of each key inspection point.

[0065] Generally, high temperatures reduce the strength of materials, leading to a certain degree of relaxation. Bolts operating at high temperatures for extended periods will gradually deform, resulting in stress relaxation. When creep occurs, the bolt length increases, leading to a greater distance between the nuts on both sides of the bolt, reducing flange pressure and sealing performance. During stress relaxation, elastic deformation transforms into plastic deformation. At this point, due to the decrease in elastic strain, the bolt axial force decreases, flange pressure decreases, and sealing performance also deteriorates.

[0066] Therefore, in the continuously high-temperature parts of the wind turbine, bolts are more likely to loosen, thereby reducing the pressure on the flange. Monitoring the flange pressure is an effective way to determine the degree of bolt loosening.

[0067] S5, adjust the scheduled maintenance date of the power system based on the analysis and judgment results.

[0068] The beneficial effects of the above embodiments are as follows: By monitoring the flange temperature and pressure, different pressure thresholds are calculated for flanges at different locations, and the degree of looseness of the wind turbine bolts is effectively judged based on the flange pressure value; the pressure thresholds are then adjusted according to the temperature of the wind turbine, improving the accuracy of bolt judgment. The scheduled maintenance cycle is adjusted according to the looseness ratio to prevent equipment damage caused by untimely maintenance, thus improving the operational stability of the wind turbine.

[0069] Compared to monitoring bolts, monitoring flanges reduces the difficulty of data processing and makes the real-time monitoring solution simpler.

[0070] In one embodiment, a power system scheduled maintenance method based on environmental information calculates the pressure threshold of the flange based on the flange's location and temperature data, including:

[0071] S31, obtain historical scheduled maintenance data of wind turbine generators, filter the pressure values ​​of the flange before the historical scheduled maintenance based on the location of the flange, and generate a pressure value curve that changes over time.

[0072] S32, based on the changing trend of the pressure value curve, predict and analyze the pressure value of the next scheduled inspection to obtain the predicted pressure value and the first prediction time;

[0073] S33, based on the current flange temperature data, predicted pressure value and predicted time, the pressure threshold of the flange is obtained through analysis.

[0074] In the above embodiments, based on historical data analysis, the pressure value of the flange can be effectively predicted through mathematical models.

[0075] In one embodiment, a power system scheduled maintenance method based on environmental information analyzes current flange temperature data and predicted pressure values ​​to obtain the flange pressure threshold, including:

[0076] S341, acquire historical data on flange temperature changes and generate a flange temperature curve that changes over time;

[0077] S342, Based on the current time point, determine the current temperature change trend in the flange temperature change curve;

[0078] S343, based on the flange temperature change trend and local weather information, predictive analysis of flange temperature change is performed to obtain flange temperature prediction curve;

[0079] S344, based on historical data, generates a table corresponding to changes in temperature and flange pressure values;

[0080] S345, based on the table of temperature and flange pressure value changes, the flange temperature prediction curve and the current flange pressure value, adjust the first prediction time for the flange to reach the predicted pressure value to obtain the second prediction time;

[0081] S346, determine the pressure threshold of the flange based on the pressure value curve and the second prediction time.

[0082] Among them, the pressure value corresponding to the pressure value curve and the second prediction time is the predicted scheduled inspection pressure value, and the pressure threshold should be less than the scheduled inspection pressure value.

[0083] In the above embodiments, the flange temperature is slightly higher than the bolt temperature, and different temperature values ​​have different effects on the flange and bolt; and considering the impact of weather changes on the operation of the fan and the actual temperature of the flange, the temperature change of the flange is predicted, which improves the accuracy of the pressure threshold.

[0084] In one embodiment, a power system routine inspection method based on environmental information determines the looseness state of bolts, including:

[0085] S41, preset the number of flange sampling samples, evenly sample flanges in key inspection areas, and test the pressure of the flanges.

[0086] S42, compare the test pressure value of the flange with the pressure threshold of the flange. If the test pressure value of the flange is less than the pressure threshold, it is determined that the bolts on the flange are in a loose state.

[0087] S43, the number of flanges with bolts in a relaxed state is the number of low-pressure flanges.

[0088] In the above embodiments, the stress and temperature differences of the flanges at the same location of the wind turbine are very small, so sampling inspection of the flanges can provide a comprehensive assessment of the wind turbine as a whole.

[0089] In one embodiment, a power system scheduled maintenance method based on environmental information includes detecting the pressure of a flange, comprising:

[0090] S411, uniformly select flanges in key inspection areas of wind turbines as flanges to be tested, with each key inspection area having at least one flange to be tested, and number the flanges to be tested.

[0091] S412, multiple pressure sensors, with their pressure-sensitive elements positioned below the flange under test; multiple temperature sensors, with their sensing components fixedly connected to the portion of the flange under test near the bolts;

[0092] S413, multiple signal conversion devices are connected to the pressure sensor and temperature sensor corresponding to each flange under test. One signal conversion device is connected to one pressure sensor and one temperature sensor, converting the pressure information and temperature information into digital information;

[0093] S414 collects the temperature and pressure data of all flanges under test into the fan processor via a switch;

[0094] S415, the wind turbine processor transmits data to the server in the monitoring center via a data transmission device;

[0095] S416, the server pre-sets the correspondence between pressure sensor and temperature sensor numbers and flange numbers, pre-sets the flange numbers and flange location information, and analyzes and judges the data in the server.

[0096] In the above embodiments, the pressure sensor, temperature sensor, signal conversion device, fan processor, and server are all existing technologies and constitute the basic setup for information collection and transmission.

[0097] In one embodiment, a power system scheduled maintenance method based on environmental information adjusts the scheduled maintenance date of the power system according to the analysis and judgment results, including:

[0098] Based on the total number of flanges and the number of samples in the key inspection areas inside the wind turbine, a first quantity threshold and a second quantity threshold are set, wherein the first quantity threshold is less than the second quantity threshold.

[0099] If the number of low-pressure flanges is less than the first quantity threshold, the scheduled maintenance date of the wind turbine remains unchanged.

[0100] If the number of low-pressure flanges is greater than the first quantity threshold but less than the second quantity threshold, the scheduled inspection date will be adjusted forward.

[0101] If the number of low-pressure flanges exceeds the second quantity threshold, a bolt loosening alarm will be generated, and the wind turbine will be immediately subjected to routine inspection.

[0102] This includes adjusting the scheduled inspection date forward, including:

[0103] Set the testing cycle, scheduled inspection cycle, and adjustment cycle. The adjustment cycle is within the scheduled inspection cycle and is at the end of the scheduled inspection cycle. The testing cycle is within the scheduled inspection cycle and is at the beginning of the scheduled inspection cycle. The testing cycle and adjustment cycle do not overlap.

[0104] Timing begins at the start of the scheduled inspection cycle. During the period before the scheduled inspection time reaches the adjustment cycle:

[0105] If the number of low-pressure flanges does not exceed the first threshold and is less than the second threshold within the inspection cycle, the scheduled inspection will proceed normally.

[0106] If the number of low-pressure flanges exceeds the first threshold but is less than the second threshold during the inspection cycle, the scheduled inspection time will be adjusted to the beginning of the adjustment cycle.

[0107] During the period when the scheduled maintenance time reaches the adjustment cycle:

[0108] If the number of low-pressure flanges does not exceed the first threshold and is less than the second threshold within the adjustment cycle, the scheduled inspection time will be reached and the scheduled inspection of the wind turbine will begin. After the scheduled inspection, the scheduled inspection time will be reset.

[0109] If the number of low-pressure flanges exceeds the first threshold but falls below the second threshold within the adjustment cycle, the wind turbine will be subject to a scheduled inspection immediately, and the inspection time will be reset after the inspection.

[0110] In the above embodiments, by statistically analyzing the flanges below the pressure threshold, the overall bolt loosening of the wind turbine is reflected. If the number exceeds the first threshold, the scheduled inspection time is advanced and the scheduled inspection frequency is increased; if the number exceeds the second threshold, a scheduled inspection is performed immediately to reduce the occurrence of equipment damage due to untimely inspection and improve operational stability.

[0111] In one embodiment, a power system scheduled maintenance method based on environmental information further includes:

[0112] The server also presets an alarm threshold for the flange. If the flange's detection threshold is less than the alarm threshold, a relaxation alarm message is generated, and the alarm flange is immediately inspected. The alarm message includes the flange's number and location.

[0113] In the above embodiment, the degree of bolt looseness is determined by the flange pressure value. If the pressure is too low, it indicates a bolt problem, triggering an alarm and immediately initiating flange repair. The flange number and location are determined by the sensor number from which the pressure value information originates in the server.

[0114] It should be noted that the above embodiments are merely illustrative examples of the division of functional modules. In practical applications, the functions described above can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are merely for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0115] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0116] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0117] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for scheduled maintenance of power systems based on environmental information, characterized in that, include: S1, detect the temperature of the flanges of various parts of the wind turbine, and focus on the parts with higher temperatures. S2, detect and acquire the flange pressure value and temperature data of the key detection area; S3, based on the flange's location and temperature data, calculates the flange's pressure threshold, including: S31, obtain historical scheduled maintenance data of wind turbine generators, filter the pressure values ​​of flanges before historical scheduled maintenance based on the location of the flanges, and generate a pressure value curve that changes over time. S32, based on the changing trend of the pressure value curve, predict and analyze the pressure value of the next scheduled inspection to obtain the predicted pressure value and the first prediction time; S33, based on the current flange temperature data, predicted pressure value, and prediction time, analyzes the flange pressure threshold to obtain the following: S341, acquire historical data on flange temperature changes and generate a flange temperature curve that changes over time; S342, Based on the current time point, determine the current temperature change trend in the flange temperature change curve; S343, based on the flange temperature change trend and local weather information, predictive analysis of flange temperature change is performed to obtain flange temperature prediction curve; S344, based on historical data, generates a table corresponding to changes in temperature and flange pressure values; S345, based on the table of temperature and flange pressure value changes, the flange temperature prediction curve and the current flange pressure value, adjust the first prediction time for the flange to reach the predicted pressure value to obtain the second prediction time; S346, Determine the pressure threshold of the flange based on the pressure value curve and the second prediction time; S4. Based on the flange pressure values ​​and pressure thresholds of the key inspection locations, analyze and judge the loosening state of the bolts, including: S41, preset the number of flange sampling samples, evenly sample flanges in the key inspection areas, and test the pressure of the flanges; S42, compare the test pressure value of the flange with the pressure threshold of the flange. If the test pressure value of the flange is less than the pressure threshold, it is determined that the bolts on the flange are in a loose state. S43, the number of flanges with bolts in a relaxed state is the number of low-pressure flanges; S5, Adjusting the scheduled maintenance dates of the power system based on the analysis and judgment results, including: Based on the total number of flanges and the number of samples in the key inspection areas inside the wind turbine, a first quantity threshold and a second quantity threshold are set, wherein the first quantity threshold is less than the second quantity threshold. If the number of low-pressure flanges is less than the first quantity threshold, the scheduled maintenance date of the wind turbine remains unchanged. If the number of low-pressure flanges is greater than the first quantity threshold but less than the second quantity threshold, the scheduled inspection date will be adjusted forward. If the number of low-pressure flanges exceeds the second quantity threshold, a bolt loosening alarm is generated, and the wind turbine is immediately subjected to routine inspection.

2. The method for scheduled maintenance of a power system based on environmental information according to claim 1, characterized in that, The pressure detection of the flange includes: S411, uniformly select flanges in the key inspection parts of the wind turbine as flanges to be tested, each key inspection part has at least one flange to be tested, and number the flanges to be tested; S412, multiple pressure sensors, with their pressure-sensitive elements positioned below the flange under test; multiple temperature sensors, with their detection components fixedly connected to the portion of the flange under test near the bolts; S413, multiple signal conversion devices are respectively connected to the pressure sensor and the temperature sensor corresponding to each of the flanges under test, and one signal conversion device is connected to one pressure sensor and one temperature sensor to convert pressure information and temperature information into digital information; S414, collect the temperature and pressure data of all the flanges under test into the fan processor through the switch; S415, the wind turbine processor transmits data to the server in the monitoring center via a data transmission device; S416, The server presets the correspondence between the pressure sensor and temperature sensor numbers and the flange numbers, presets the flange numbers and flange location information, and analyzes and judges the data in the server.

3. The method for scheduled maintenance of a power system based on environmental information according to claim 2, characterized in that, Also includes: The server also presets an alarm threshold for the flange. If the detection threshold of the flange is less than the alarm threshold, a relaxation alarm message is generated, and the alarm flange is immediately inspected. The alarm message includes the flange number and location.

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