Intelligent gas turbine intake filtration system based on weather forecasts

Abstract

This invention discloses an intelligent gas turbine intake filtration system based on weather forecasting. It includes a protective cover, an intelligent anti-freeze section, an intelligent coarse filter stage, an intelligent dehumidification stage, a fine filter stage, and a noise reduction section arranged sequentially from the intake inlet towards the gas turbine, as well as a control cabinet and an intelligent terminal. Multiple intelligent coarse filters are included, with the number selected to be activated based on varying weather conditions. The intelligent anti-freeze section, intelligent coarse filter stage, and intelligent dehumidification stage are each connected to the control cabinet, which controls their opening and closing. The control cabinet is also connected to the intelligent terminal, which receives real-time weather forecast information, makes decisions, and transmits the decision signals to the control cabinet. The control cabinet then controls the corresponding filter stage to open or close. This invention ensures the long-term safe and stable operation of the gas turbine under extreme weather conditions and its long-term efficient operation under favorable weather conditions.

Description

Technical Field

[0001] This invention relates to the field of gas turbine intake systems, and more particularly to an intelligent gas turbine intake filtration system based on weather forecasts. Background Technology

[0002] When a gas turbine is operating, the compressor needs to draw in air from the outside atmosphere. Before entering the compressor, the air must pass through an intake filtration system, the main function of which is to filter out dust, lint, liquid particles, and other contaminants to ensure intake air quality. Therefore, the state of the outside air directly affects the efficient and stable operation of the gas turbine. For example, in extreme weather conditions such as smog, sandstorms, typhoons, heavy rain, and freezing temperatures, the filtration effect of impurities in the air will be greatly reduced. This will not only affect the real-time operating efficiency of the gas turbine, but if impurities enter the gas turbine and accumulate inside, long-term accumulation will seriously affect the safe and stable operation of the gas turbine, and may even cause damage to core components such as the combustion chamber and blades.

[0003] To address these issues, existing technologies typically employ the addition of filtration components, such as coarse filtration stages or dehumidification stages. However, excessive filtration components can increase the initial inlet pressure differential of the compressor, reduce flow rate, and consequently decrease the overall operating efficiency of the gas turbine. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention proposes an intelligent gas turbine intake filtration system based on weather forecasting, which can ensure the long-term safe and stable operation of the gas turbine under extreme weather conditions, as well as the long-term efficient operation of the gas turbine under favorable weather conditions.

[0005] The specific technical solution is as follows:

[0006] A weather forecast-based intelligent gas turbine intake air filtration system includes: a protective cover, an intelligent antifreeze section, an intelligent coarse filter stage, an intelligent dehumidification stage, a fine filter stage, and a noise reduction section arranged sequentially from the air inlet towards the gas turbine, as well as a control cabinet and an intelligent terminal; the intelligent coarse filter stage has multiple stages, and the number of stages activated is selected according to different weather conditions;

[0007] The intelligent anti-freeze section, intelligent coarse filtration stage, and intelligent dehumidification stage are each connected to the control cabinet. The control cabinet controls the opening or closing of the intelligent anti-freeze section, intelligent coarse filtration stage, and intelligent dehumidification stage, respectively. The intelligent anti-freeze section is used to heat the gas entering the filtration system. The control cabinet is connected to a smart terminal. The smart terminal receives real-time weather forecast information, makes decisions, and transmits the decision signals to the control cabinet. The control cabinet then controls the corresponding filtration stage to open or close.

[0008] The intelligent coarse filtration stage and the intelligent dehumidification stage have the same structure, both including: a roll-type fixing groove, a sliding guide rail, a fixing slot, and a filter screen; the filter screen is made of foldable soft material and is coaxially wound on a roll. The two ends of the roll are fixedly connected to the roll-type fixing groove. When the roll rotates, the filter screen rotates accordingly, realizing the unfolding or retraction of the filter screen; the fixing slot is arranged parallel to the roll-type fixing groove, and the distance between the two is the length of the filter screen; the sliding guide rail is arranged perpendicular to the roll-type fixing groove, one end of the sliding guide rail is fixedly connected to the roll-type fixing groove, and the other end is fixedly connected to the fixing slot. One side of the filter screen is installed in the sliding guide rail, unfolding or retracting in the sliding guide rail.

[0009] Furthermore, the protective cover includes a rain cover and a bird net arranged sequentially from the air inlet toward the gas turbine.

[0010] Furthermore, the intelligent anti-freeze section includes an air heater and nozzles. The air heater is located outside the air intake channel, and multiple nozzles are located inside the air intake channel and are evenly arranged along the cross-section of the air intake channel. The air heater is connected to the nozzles. The intelligent anti-freeze section receives nozzle open or closed signals, air heater open or closed signals, and air heater temperature setting signals transmitted by the control cabinet. The air heater temperature setting signal is transmitted when the air heater is open.

[0011] Furthermore, the filter screen of the intelligent control coarse filtration stage is made of non-woven fabric with a filtration accuracy of G4; the filter screen of the intelligent control dehumidification stage is made of wood pulp fiber.

[0012] Furthermore, the fine filtration stage is a frame filter with a filtration accuracy of F9, and the filter screen uses microfiber nonwoven fabric or ultra-fine glass fiber material.

[0013] Furthermore, the sound-absorbing section consists of parallel arranged sound-absorbing panels.

[0014] Furthermore, the steps by which the intelligent terminal makes control decisions based on weather forecast information are as follows:

[0015] Step 1: At a fixed time each day, the smart terminal connects to the Ethernet to obtain the local 24-hour weather forecast information, which includes: warning information and level, air quality index (AQI), temperature, and relative humidity;

[0016] Step Two: Following priority order, assess the warning information and level, Air Quality Index (AQI), temperature, and relative humidity sequentially to complete the control decision. The specific assessment is achieved through the following sub-steps:

[0017] (2.1) Determine whether to activate the corresponding filtering level based on the warning information and level;

[0018] (2.2) When there are two intelligent control coarse filtration stages, select whether to open or open 1 or 2 intelligent control coarse filtration stages according to the local real-time air quality AQI index. If 150 < AQI index ≤ 300, open one intelligent control coarse filtration stage. If AQI index > 300, open two intelligent control coarse filtration stages;

[0019] (2.3) According to the local highest temperature T within 24 hours max and the lowest temperature T min , calculate the arithmetic mean value T of the two avg . If the lowest temperature T min < 0°C, open the nozzles and air heaters of the intelligent control anti-freezing section, and calculate the air heater temperature setting value T set . The expression is as follows:

[0020]

[0021] In the formula, Q1 is the intake air volume of the gas turbine per unit time, Q2 is the gas injection volume of the nozzle per unit time, and η is the comprehensive coefficient;

[0022] (2.4) According to the local real-time air relative humidity RH and T obtained in step (2.3) avg select whether to open the intelligent control dehumidification stage; if T avg > 18°C, calculate the absolute humidity AH of the air according to the following formula:

[0023] AH = RH × T avg

[0024] If the calculated AH > 18, open the intelligent control dehumidification stage, otherwise do not open the intelligent control dehumidification stage;

[0025] Step 3: Obtain the warning information and level every 30 minutes, and obtain the air quality AQI index and relative humidity every 1 hour. Re-judge the newly obtained weather forecast information and update the control decision, that is, repeat step 2; if there are multiple control decisions, the "open" decision of each filter component is the main decision;

[0026] Step 4: Transmit the control decision obtained each time to the control cabinet, and the control cabinet then controls the corresponding filtration stage to complete the opening and closing actions according to the control decision.

[0027] Further, the warning information and level include: typhoon warning, heavy rain warning, heavy snow warning, strong wind warning, sandstorm warning, fog warning, haze warning; among them, the levels of typhoon warning, heavy rain warning, heavy snow warning, and strong wind warning are all divided into blue, yellow, orange, and red; the levels of sandstorm warning and fog warning are all divided into yellow and orange; the levels of haze warning are all divided into yellow and orange; other warning information is not monitored.

[0028] Furthermore, the control signals for the corresponding filtering components for the warning information and its level are as follows:

[0029] For typhoon warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; the intelligent coarse filtration stage I is the first intelligent coarse filtration stage, and the intelligent coarse filtration stage II is the second intelligent coarse filtration stage. When the warning level is orange, the intelligent coarse filtration stage I is in the on state, and the intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state. When the warning level is red, the intelligent anti-freeze stage is in the off state, and the intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the on state.

[0030] For rainstorm warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is orange or red, the intelligent coarse filtration stage I and intelligent dehumidification stage are in the on state, and the intelligent anti-freeze stage and intelligent coarse filtration stage II are in the off state.

[0031] For blizzard warnings, when the warning level is blue, yellow, or orange, the intelligent anti-freeze stage is on, while the intelligent coarse filter stage I, intelligent coarse filter stage II, and intelligent dehumidification stage are off; when the warning level is red, the intelligent anti-freeze stage and intelligent dehumidification stage are on, while the intelligent coarse filter stage I and intelligent coarse filter stage II are off.

[0032] For strong wind warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is orange, intelligent coarse filtration stage I is in the on state, and intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is red, intelligent coarse filtration stage I and coarse filtration stage II are both in the on state, and intelligent anti-freeze stage and intelligent dehumidification stage are both in the off state.

[0033] For sandstorm warnings, when the warning level is yellow, the intelligent coarse filter stage I is on, while the intelligent antifreeze stage, intelligent coarse filter stage II, and intelligent dehumidification stage are all off; when the warning level is orange or red, both the intelligent coarse filter stage I and intelligent coarse filter stage II are on, while the intelligent antifreeze stage and intelligent dehumidification stage are off.

[0034] For fog warnings, when the warning level is yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all off; when the warning level is orange, intelligent coarse filtration stage I is on, and the intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all off; when the warning level is red, intelligent coarse filtration stage I and intelligent dehumidification stage are on, and intelligent anti-freeze stage and coarse filtration stage II are off.

[0035] For haze warnings, when the warning level is yellow or orange, the intelligent coarse filter stage I is on, while the intelligent antifreeze stage, intelligent coarse filter stage II, and intelligent dehumidification stage are all off.

[0036] The beneficial effects of this invention are:

[0037] (1) The present invention can intelligently open and close the filter components according to the information contained in the weather forecast: under extreme weather conditions, the filter components are opened in a targeted manner according to the weather conditions to enhance the filtration capacity of impurities such as dust, fluff, and liquid particles in the air, so as to ensure the quality of the intake air and prevent impurities from entering the gas turbine and depositing inside the gas turbine, causing adverse effects; under good weather conditions, the additional filter components are closed and only the basic filter components are retained to avoid the increase in the initial pressure difference of the compressor intake and the decrease in flow rate due to too many filter components, which would lead to a decrease in the overall operating efficiency of the gas turbine.

[0038] (2) This invention can ensure the safety and reliability of gas turbines in long-term operation under various extreme climates, and can also ensure the high efficiency and economy of gas turbines in long-term operation, thus achieving a balance between safety and high efficiency. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the intelligent gas turbine intake filtration system based on weather forecast in an embodiment of the present invention.

[0040] Figure 2 This is a schematic diagram of the intelligent control coarse filter stage in an embodiment of the present invention.

[0041] Figure 3 This is a flowchart of the control decision-making process of the smart terminal based on weather forecast information in an embodiment of the present invention.

[0042] In the diagram, 1 is a rain cover, 2 is a bird net, 3 is an intelligent antifreeze section, 4 is an intelligent coarse filter stage I, 5 is an intelligent coarse filter stage II, 6 is an intelligent dehumidification stage, 7 is a fine filter stage, 8 is a noise reduction section, 9 is a control cabinet, 10 is an intelligent terminal, 11 is an air heater, 12 is a nozzle, 13 is a roll-type fixing groove, 14 is a sliding guide rail, and 15 is a fixing slot. Detailed Implementation

[0043] The present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments. The objectives and effects of the present invention will become clearer as a result. The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0044] like Figure 1As shown, an intelligent gas turbine intake air filtration system based on weather forecasting includes: an intake air filtration section, a control cabinet 9, and an intelligent terminal 10. The intake air filtration section includes, from the outside to the inside (i.e., from the air inlet towards the gas turbine), a protective cover, an intelligent anti-freeze section 3, an intelligent coarse filter stage, an intelligent dehumidification stage 6, a fine filter stage 7, and a noise reduction section 8. The protective cover includes, from the outside to the inside, a rainproof cover 1 and a bird net 2. The rainproof cover 1 is used to prevent rain and snow from entering the intake channel, and the bird net 2 is used to prevent large insects and birds from flying into the intake channel, protecting the intake air filtration system so that it can operate normally. The intelligent coarse filter stage includes two coarse filter stages: intelligent coarse filter stage I 4 and intelligent coarse filter stage II 5.

[0045] The intelligent anti-freeze stage 3, intelligent coarse filter stage I 4, intelligent coarse filter stage II 5, and intelligent dehumidification stage 6 are connected to the control cabinet 9. The control cabinet 9 is connected to the intelligent terminal 10. The intelligent terminal 10 receives real-time weather forecast information, makes decisions, and transmits the decision signals to the control cabinet 9. The control cabinet 9 then controls the corresponding filter stage to complete the opening and closing actions.

[0046] The intelligent anti-freeze section 3 includes an air heater 11 and nozzles 12. The air heater 11 is located outside the air intake channel, and multiple nozzles 12 are located inside the air intake channel and evenly arranged along the cross-section of the air intake channel. The air heater 11 and the nozzles 12 are connected. When the air heater 11 and the nozzles 12 are turned on, the outside air is heated to the set temperature in the air heater 11 and then sprayed into the air intake channel through the nozzles 12 to prevent the air intake channel from freezing in extreme low temperatures. The intelligent anti-freeze section 3 is connected to the control cabinet 9 and receives the nozzle 12 opening or closing signal, the air heater 11 opening or closing signal, and the air heater 11 temperature setting signal (this signal is transmitted when the air heater 11 is turned on) transmitted from the control cabinet 9.

[0047] The intelligent coarse filtration stage I 4 and the intelligent coarse filtration stage II 5 adopt the same structure, and their filtration accuracy is G4 (≥5μm filtration 90%). Figure 2 The diagram shows a preferred intelligent control coarse filtration stage structure, comprising: a roll-type fixing groove 13, a sliding guide rail 14, a fixing slot 15, and a filter screen. The filter screen is made of a foldable soft material; in this embodiment, the filter screen is made of non-woven fabric. The filter screen is rolled into a roller shape and placed in the roll-type fixing groove 13. A roller is arranged in the roll-type fixing groove 13, and the filter screen is coaxially arranged with the roller. When the roller rotates, the filter screen rotates accordingly, realizing the unfolding or retraction of the filter screen. The fixing slot 15 is arranged parallel to the roll-type fixing groove 13, and the distance between the two is the length of the filter screen. The sliding guide rail 14 is arranged perpendicular to the roll-type fixing groove 13. One end of the sliding guide rail 14 is fixedly connected to the roll-type fixing groove 13, and the other end is fixedly connected to the fixing slot 15. One side of the filter screen is installed in the sliding guide rail 14, unfolding or retracting within the sliding guide rail 14.

[0048] Intelligent coarse filter stage I 4 and intelligent coarse filter stage II 5 are connected to control cabinet 9 and receive opening and closing signals transmitted from control cabinet 9. When intelligent coarse filter stage I 4 and / or intelligent coarse filter stage II 5 receive the opening signal from control cabinet 9, if they are in the open state, they do not act; if they are in the closed state, they control the roller in the roll-type fixing groove 13 to rotate, the filter screen unfolds along the sliding guide rail 14, and locks in the fixing slot 15 to complete the opening action; when intelligent coarse filter stage I 4 and / or intelligent coarse filter stage II 5 receive the closing signal from control cabinet 9, if they are in the closed state, they do not act; if they are in the open state, they control the fixing slot 15 to unlock, and then the roller in the roll-type fixing groove 13 rotates in the reverse direction, the filter screen retracts along the sliding guide rail 14, and closes in the starting position to complete the closing action.

[0049] The intelligent dehumidification stage 6 adopts the same overall structure as the intelligent coarse filter stage, which also includes a roll-up fixing groove 13, a sliding guide rail 14, a fixing slot 15, and a filter screen. The filter screen is made of a foldable soft material with strong moisture absorption capacity, such as wood pulp fiber. The intelligent dehumidification stage 6 is connected to the control cabinet 9 and receives the opening and closing signals transmitted from the control cabinet 9.

[0050] The fine filtration stage 7 is a frame filter with a filtration accuracy of F9 (95% filtration of 1-10μm). The filter screen uses microfiber non-woven fabric or ultra-fine glass fiber material, which can effectively remove fine dust.

[0051] The silencing section 8 consists of parallel sound-absorbing panels, used to reduce intake noise and bring the system up to noise standards.

[0052] like Figure 3 As shown, the steps for the intelligent terminal 10 to make control decisions based on weather forecast information are as follows:

[0053] Step 1: At 06:00 daily, the smart terminal 10 connects to the Ethernet to obtain local 24-hour weather forecast information, including: warning information and levels, Air Quality Index (AQI), temperature, and relative humidity. The warning information and levels include: typhoon warning, rainstorm warning, blizzard warning, gale warning, sandstorm warning, fog warning, and haze warning. Typhoon, rainstorm, blizzard, and gale warnings are categorized by blue, yellow, orange, and red levels; sandstorm and fog warnings are categorized by yellow, orange, and red levels; and haze warnings are categorized by yellow and orange levels. Other warning information is not monitored; that is, the corresponding filtering layer is not activated when other warnings occur.

[0054] Step Two: Following priority order, assess the warning information and level, Air Quality Index (AQI), temperature, and relative humidity sequentially to complete the control decision. The specific assessment is achieved through the following sub-steps:

[0055] (2.1) Determine whether to activate the corresponding filtration level based on the warning information and its level. If there is new warning information or a change in the warning information level, re - judge and update the control decision. In this embodiment, the control signals of the corresponding filtration components for different warning information and levels are shown in Table 1.

[0056] Table 1

[0057]

[0058] (2.2) Select to not activate or activate 1 or 2 intelligent control coarse filtration levels according to the local real - time air quality AQI index. If 150 < AQI index ≤ 300, open the intelligent control coarse filtration level I 4. If the AQI index > 300, open the intelligent control coarse filtration level I 4 and the intelligent control coarse filtration level II 5.

[0059] (2.3) According to the local highest temperature T max and the lowest temperature T min , calculate their arithmetic mean T avg . If the lowest temperature T min < 0°C, open the nozzle 12 and the air heater 11 of the intelligent control anti - freeze section 3, and calculate the temperature set value T set of the air heater 11. T set is calculated according to the following formula:

[0060]

[0061] In the formula, Q1 is the intake air volume of the gas turbine per unit time, Q2 is the gas injection volume of the nozzle per unit time, and η is a comprehensive coefficient. In this embodiment, η = 1.5 is taken.

[0062] (2.4) Select whether to activate the intelligent control dehumidification level 6 according to the local real - time air relative humidity RH and the T avg calculated in step (2.3). If T avg > 18°C, calculate the absolute air humidity AH according to the following formula:

[0063] AH = RH × T avg <着

[0064] If the calculated AH > 18, open the intelligent control dehumidification level 6. Otherwise (including the case where T avg ≤ 18°C), do not activate the intelligent control dehumidification level 6.

[0065] Step 3: Warning information and levels are acquired every 30 minutes; Air Quality Index (AQI) and relative humidity are acquired every hour; and temperature is acquired every 24 hours. Newly acquired weather forecast information is reassessed, and control decisions are updated (i.e., Step 2 is repeated). If multiple control decisions exist, the "on" decision for each filter component becomes the primary decision; for example, if a filter component has two control decisions, "on" and "off," then the final decision is "on."

[0066] Step 4: Transmit the control decisions obtained from each update to control cabinet 9. Control cabinet 9 then controls the corresponding filter level to complete the opening and closing actions according to the control decisions.

[0067] It will be understood by those skilled in the art that the above descriptions are merely preferred examples of the invention and are not intended to limit the invention. Although the invention has been described in detail with reference to the foregoing examples, those skilled in the art can still modify the technical solutions described in the foregoing examples or make equivalent substitutions for some of the technical features. All modifications and equivalent substitutions made within the spirit and principles of the invention should be included within the scope of protection of the invention.

Claims

1. A weather forecast based intelligent gas turbine inlet filtration system, characterized in that, Comprising: A protective cover, an intelligent anti-freezing section, an intelligent coarse filtration stage, an intelligent dehumidification stage, a fine filtration stage, a silencing section, as well as a control cabinet and an intelligent terminal, which are arranged in sequence from the air inlet towards the gas turbine; there are multiple intelligent coarse filtration stages, and the number of opened coarse filtration stages is selected according to different weather conditions; The intelligent anti-freezing section, the intelligent coarse filtration stage, and the intelligent dehumidification stage are respectively connected to the control cabinet, and the control cabinet controls the opening or closing of the intelligent anti-freezing section, the intelligent coarse filtration stage, and the intelligent dehumidification stage respectively; the intelligent anti-freezing section is used to heat the gas entering the filtration system; the control cabinet is connected to the intelligent terminal, the intelligent terminal receives real-time weather forecast information to complete the decision-making, and transmits the decision signal to the control cabinet, and then the control cabinet controls the corresponding filtration stage to complete the opening or closing action; The structures of the intelligent coarse filtration stage and the intelligent dehumidification stage are the same, and both include: a roll-type fixed groove, a sliding guide rail, a fixed card slot, and a filter screen; the filter screen uses a foldable flexible material and is coaxially wound on a reel, and both ends of the reel are fixedly connected in the roll-type fixed groove, and when the reel rotates, the filter screen rotates accordingly to realize the unfolding or retracting of the filter screen; the fixed card slot is arranged parallel to the roll-type fixed groove, and the distance between the two is the length of the filter screen; the sliding guide rail is arranged perpendicular to the roll-type fixed groove, one end of the sliding guide rail is fixedly connected to the roll-type fixed groove, and the other end is fixedly connected to the fixed card slot, and one side of the filter screen is installed in the sliding guide rail and is unfolded or retracted in the sliding guide rail; The steps for the intelligent terminal to make control decisions based on weather forecast information are as follows: Step 1: At a fixed time every day, the intelligent terminal connects to the Ethernet to obtain the local weather forecast information within 24 hours, and the weather forecast information includes: warning information and level, air quality AQI index, temperature, relative humidity; Step 2: In accordance with the priority order, judge the warning information and level, air quality AQI index, temperature, and relative humidity in sequence to complete the control decision-making. The specific judgment is realized through the following sub-steps: (2.1) Judge whether to open the corresponding filtration stage according to the warning information and level; (2.2) When there are two intelligent coarse filtration stages, select not to open or open 1 or 2 intelligent coarse filtration stages according to the local real-time air quality AQI index. If 150 < AQI index ≤ 300, then open one intelligent coarse filtration stage. If AQI index > 300, then open two intelligent coarse filtration stages; (2.3) Based on the highest temperature T in the local area within 24 hours max Minimum temperature T min Calculate the arithmetic mean T of the two. avg If the lowest temperature T min If the temperature is below 0℃, the nozzles of the intelligent anti-freeze section and the air heater will be turned on, and the air heater temperature setpoint T will be calculated. set The expression is as follows: ； In the formula, Q1 is the intake air volume of the gas turbine per unit time, Q2 is the gas injection volume of the nozzle per unit time, and η is the comprehensive coefficient; (2.4) According to the local real-time air relative humidity RH and T calculated in step (2.3), T is calculated according to the following formula: avg Select whether to start the intelligent control dehumidification level; if T avg >18℃, the absolute humidity of air AH is calculated according to the following formula: ； If the calculated AH > 18, then open the intelligent dehumidification stage, otherwise do not open the intelligent dehumidification stage; Step 3: The warning information and level are obtained every 30 minutes, and the air quality AQI index and relative humidity are obtained every 1 hour. Re-judge the newly obtained weather forecast information and update the control decision-making, that is, repeat Step 2; if there are multiple control decisions, then the "opening" decision of each filtration component is the main decision; Step 4: Transmit the control decision obtained each time of update to the control cabinet, and then the control cabinet controls the corresponding filtration stage to complete the opening and closing actions according to the control decision.

2. The weather forecast based intelligent gas turbine inlet filtration system of claim 1, wherein, The protective cover includes a rain-proof cover and a bird-proof net which are arranged in sequence from the air inlet towards the gas turbine.

3. The weather forecast based intelligent gas turbine inlet filtration system in accordance with claim 1, wherein, The intelligent anti-freeze section includes an air heater and nozzles. The air heater is located outside the air intake channel, and multiple nozzles are located inside the air intake channel and are evenly arranged along the cross-section of the air intake channel. The air heater is connected to the nozzles. The intelligent anti-freeze section receives nozzle open or closed signals, air heater open or closed signals, and air heater temperature setting signals transmitted by the control cabinet. The air heater temperature setting signal is transmitted when the air heater is open.

4. The weather forecast based intelligent gas turbine inlet filtration system in accordance with claim 1, wherein, The filter screen of the intelligent control coarse filtration stage is made of non-woven fabric with a filtration accuracy of G4; the filter screen of the intelligent control dehumidification stage is made of wood pulp fiber.

5. The intelligent gas turbine inlet air filtration system based on weather forecasting according to claim 1, characterized in that, The fine filtration stage is a frame filter with a filtration accuracy of F9, and the filter screen uses microfiber nonwoven fabric or ultra-fine glass fiber material.

6. The weather forecast based intelligent gas turbine inlet filtration system in accordance with claim 1, wherein, The sound-absorbing section consists of parallel arranged sound-absorbing panels.

7. The intelligent gas turbine inlet air filtration system based on weather forecasting according to claim 1, characterized in that, The warning information and levels include: typhoon warning, rainstorm warning, blizzard warning, gale warning, sandstorm warning, fog warning, and haze warning; among them, the levels of typhoon warning, rainstorm warning, blizzard warning, and gale warning are all divided into blue, yellow, orange, and red; the levels of sandstorm warning and fog warning are all divided into yellow, orange, and red; the levels of haze warning are all divided into yellow and orange; other warning information is not monitored.

8. The weather forecast based intelligent gas turbine inlet filtration system of claim 7, wherein, The control signals for the corresponding filtering components based on the warning information and its level are as follows: For typhoon warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; the intelligent coarse filtration stage I is the first intelligent coarse filtration stage, and the intelligent coarse filtration stage II is the second intelligent coarse filtration stage. When the warning level is orange, the intelligent coarse filtration stage I is in the on state, and the intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state. When the warning level is red, the intelligent anti-freeze stage is in the off state, and the intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the on state. For rainstorm warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is orange or red, the intelligent coarse filtration stage I and intelligent dehumidification stage are in the on state, and the intelligent anti-freeze stage and intelligent coarse filtration stage II are in the off state. For blizzard warnings, when the warning level is blue, yellow, or orange, the intelligent anti-freeze stage is on, while the intelligent coarse filter stage I, intelligent coarse filter stage II, and intelligent dehumidification stage are off; when the warning level is red, the intelligent anti-freeze stage and intelligent dehumidification stage are on, while the intelligent coarse filter stage I and intelligent coarse filter stage II are off. For strong wind warnings, when the warning level is blue or yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is orange, intelligent coarse filtration stage I is in the on state, and intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all in the off state; when the warning level is red, intelligent coarse filtration stage I and coarse filtration stage II are both in the on state, and intelligent anti-freeze stage and intelligent dehumidification stage are both in the off state. For sandstorm warnings, when the warning level is yellow, the intelligent coarse filter stage I is on, while the intelligent antifreeze stage, intelligent coarse filter stage II, and intelligent dehumidification stage are all off; when the warning level is orange or red, both the intelligent coarse filter stage I and intelligent coarse filter stage II are on, while the intelligent antifreeze stage and intelligent dehumidification stage are off. For fog warnings, when the warning level is yellow, the intelligent anti-freeze stage, intelligent coarse filtration stage I, intelligent coarse filtration stage II, and intelligent dehumidification stage are all off; when the warning level is orange, intelligent coarse filtration stage I is on, and the intelligent anti-freeze stage, intelligent coarse filtration stage II, and intelligent dehumidification stage are all off; when the warning level is red, intelligent coarse filtration stage I and intelligent dehumidification stage are on, and intelligent anti-freeze stage and coarse filtration stage II are off. For haze warnings, when the warning level is yellow or orange, the intelligent coarse filter stage I is on, while the intelligent antifreeze stage, intelligent coarse filter stage II, and intelligent dehumidification stage are all off.

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