Fire detection method, device and system for wind generating set

Abstract

The invention provides a fire detection method, device and system for a wind generating set. The method comprises the following steps: acquiring each smoke concentration value and each wind speed measurement value in a cabin of the wind generating set by utilizing acquisition equipment; calculating a smoke average value and a smoke change rate when the acquisition equipment is determined to meet a self-inspection requirement according to the smoke concentration value and the wind speed measurement value; if the smoke average value is not smaller than an average value threshold value and the smoke change rate is not smaller than a change rate threshold value, generating fire alarm information; calculating a plurality of wind speed positioning compensation values according to each wind speed measurement value; according to all the smoke concentration values, a plurality of maximum peak values in all the smoke concentration values and all the wind speed positioning compensation values, fire positioning information is obtained through calculation; and executing preset fire-fighting operation according to the fire alarm information and the fire positioning information. The problem of fire positioning in a complex environment in the wind generating set is solved, fixed-point fire fighting is facilitated, fire detection accuracy and fire fighting efficiency are improved, and operation safety of the wind generating set is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of fire warning, and in particular to a fire detection method, device and system for a wind turbine generator set. Background Art

[0002] Wind power generation is one of the most widely used renewable energy technologies in the world. However, once a wind turbine fire occurs, it often spreads quickly and is difficult to extinguish. Since the height of the nacelle is usually more than 80 meters, fire extinguishing almost entirely depends on the effectiveness of automatic fire extinguishing devices.

[0003] The current automatic fire extinguishing device mainly relies on fixed-position blasting fire extinguishing measures triggered by smoke and temperature sensors. However, this method cannot achieve the goals of fixed-point blasting and efficient fire extinguishing.

[0004] Therefore, how to achieve targeted blasting fire extinguishing to improve fire extinguishing efficiency is a problem that needs to be solved urgently. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a fire detection method, device and system for a wind turbine generator set to solve the problem that it is impossible to achieve fixed-point fire extinguishing.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0007] A first aspect of the present invention discloses a fire detection method for a wind turbine generator set, the method comprising:

[0008] Using the collection equipment to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the wind turbine cabin;

[0009] When it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, the smoke average value and the smoke change rate are calculated according to all smoke concentration values;

[0010] If the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated;

[0011] Calculate a plurality of wind speed positioning compensation values ​​according to each of the wind speed measurement values;

[0012] The fire location information is calculated based on all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values;

[0013] Execute preset fire fighting operations according to the fire alarm information and the fire location information.

[0014] Preferably, the method further comprises:

[0015] When it is determined according to the smoke concentration value and the wind speed measurement value that the acquisition device does not meet the self-check requirement, generating acquisition device failure information;

[0016] Output the acquisition device failure information and end the process.

[0017] Preferably, when it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, before calculating the smoke average value and the smoke change rate according to all smoke concentration values, the method further includes:

[0018] Calculate the first variance of all smoke concentration values ​​and the second variance of all wind speed measurements;

[0019] Calculating a self-check coefficient of the collection device according to a smoke self-check weight of the collection device, a wind speed self-check weight of the collection device, the first variance, and the second variance;

[0020] When the self-test coefficient is greater than or equal to the self-test coefficient standard value, it is determined that the acquisition device does not meet the self-test requirements;

[0021] When the self-test coefficient is less than the self-test coefficient standard value, it is determined that the acquisition device meets the self-test requirement.

[0022] Preferably, when it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, after calculating the smoke average value and the smoke change rate according to all smoke concentration values, the method further includes:

[0023] If the smoke average value is not less than the average value threshold, or the smoke change rate is not less than the change rate threshold, a fire warning message is generated, and the process returns to the step of using the collection device to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set;

[0024] If the smoke average value is less than the average value threshold, and the smoke change rate is less than the change rate threshold, normal detection information is generated and output, and the normal detection information is used to indicate that the fire risk of the wind turbine generator set is low.

[0025] Preferably, the calculation of multiple wind speed positioning compensation values ​​according to each of the wind speed measurement values ​​includes:

[0026] For each of the wind speed measurement values, obtaining position information corresponding to the wind speed measurement values ​​in multiple directions inside the nacelle of the wind turbine generator set;

[0027] For each of the directions, calculating the distance between the multiple wind speed measurement values ​​in the same direction according to the position information of the multiple wind speed measurement values ​​in the same direction;

[0028] The wind speed positioning compensation value in the same direction is calculated using the multiple wind speed measurement values ​​and the distance in the same direction to obtain wind speed positioning compensation values ​​in multiple directions.

[0029] Preferably, the fire location information is calculated based on all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values, including:

[0030] For each of the smoke concentration values, obtaining position information corresponding to the smoke concentration values ​​in multiple directions inside the nacelle of the wind turbine generator set;

[0031] For each of the directions, a maximum peak value is selected from a plurality of smoke density values ​​in the same direction to obtain maximum peak values ​​in a plurality of directions;

[0032] The fire location information is calculated using the multiple smoke density values ​​in all directions, the maximum peak value in each direction and the wind speed location compensation value in each direction.

[0033] A second aspect of the present invention discloses a fire detection device for a wind turbine generator set, the device comprising:

[0034] A collection unit, used to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set by using a collection device;

[0035] A first calculation unit, configured to calculate a smoke average value and a smoke change rate according to all smoke concentration values ​​when it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value;

[0036] A first generating unit, configured to generate fire alarm information if the smoke average value is not less than an average value threshold and the smoke change rate is not less than a change rate threshold;

[0037] A second calculation unit, configured to calculate a plurality of wind speed positioning compensation values ​​according to each of the wind speed measurement values;

[0038] A third calculation unit is used to calculate fire location information according to all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values;

[0039] An execution unit is used to execute a preset fire fighting operation according to the fire alarm information and the fire location information.

[0040] Preferably, the device further comprises:

[0041] A second generating unit, configured to generate acquisition device failure information when it is determined according to the smoke concentration value and the wind speed measurement value that the acquisition device does not meet the self-check requirement;

[0042] The output unit is used to output the acquisition device failure information and end the process.

[0043] Preferably, the device further comprises:

[0044] a fourth calculation unit, used for calculating a first variance of all smoke density values ​​and a second variance of all wind speed measurement values;

[0045] A fifth calculation unit, configured to calculate a self-check coefficient of the collection device according to the smoke self-check weight of the collection device, the wind speed self-check weight of the collection device, the first variance, and the second variance;

[0046] A first determination unit, configured to determine that the acquisition device does not meet the self-test requirement when the self-test coefficient is greater than or equal to a self-test coefficient standard value;

[0047] The second determining unit is used to determine that the acquisition device meets the self-test requirement when the self-test coefficient is less than the self-test coefficient standard value.

[0048] A third aspect of the present invention discloses a fire detection system for a wind turbine generator set, the system comprising: a collection device, a data collection apparatus and an edge computing gateway;

[0049] The collection device is installed on the inner wall of the cabin of the wind turbine generator set;

[0050] The acquisition device is connected to the data acquisition device;

[0051] The edge computing gateway is communicatively connected with the data acquisition device;

[0052] The edge computing gateway is used to execute a fire detection method for a wind turbine generator set disclosed in the first aspect of the present invention.

[0053] Preferably, the acquisition equipment includes a smoke sensor array and a wind speed detection sensor;

[0054] The smoke sensor array comprises a plurality of smoke sensors, and the smoke sensor array is installed on the inner wall of the cabin of the wind turbine generator set;

[0055] One side of each of the smoke sensors is provided with a wind speed detection sensor;

[0056] Each of the smoke sensors and each of the wind speed detection sensors are respectively connected to the data acquisition device.

[0057] Based on the fire detection method, device and system of a wind turbine generator set provided by the above-mentioned embodiment of the present invention, each smoke concentration value and each wind speed measurement value inside the cabin of the wind turbine generator set are collected by using a collection device; when it is determined that the collection device meets the self-test requirements according to the smoke concentration value and the wind speed measurement value, the smoke average value and the smoke change rate are calculated; if the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm information is generated; multiple wind speed positioning compensation values ​​are calculated according to each wind speed measurement value; fire positioning information is calculated according to all smoke concentration values, multiple maximum peaks in all smoke concentration values ​​and all wind speed positioning compensation values; and preset fire fighting operations are performed according to the fire alarm information and the fire positioning information. The problem of fire positioning in complex environments in wind turbine generator sets is solved, which is helpful for fixed-point fire fighting, improves the accuracy and efficiency of fire detection, and ensures the safe operation of wind turbine generator sets. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0059] Figure 1 A schematic diagram of a fire detection system for a wind turbine generator set provided by an embodiment of the present invention;

[0060] Figure 2 A flow chart of a fire detection method for a wind turbine generator set provided by an embodiment of the present invention;

[0061] Figure 3 A flowchart of performing self-check on a collection device provided by an embodiment of the present invention;

[0062] Figure 4 A flowchart of a process for calculating multiple wind speed positioning compensation values ​​provided by an embodiment of the present invention;

[0063] Figure 5 A flowchart of a process for calculating and obtaining fire location information provided by an embodiment of the present invention;

[0064] Figure 6 A schematic diagram of fire location information of various areas in a cabin provided by an embodiment of the present invention;

[0065] Figure 7 A structural block diagram of a fire detection device for a wind turbine generator set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0066] 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.

[0067] In this application, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0068] As can be seen from the background technology, since the height of the nacelle of a wind turbine is usually more than 80 meters, fire extinguishing almost entirely depends on the effectiveness of the automatic fire extinguishing device. However, the current fixed-position blasting fire extinguishing measures mainly rely on smoke and temperature sensors to trigger, which cannot achieve the goals of fixed-point blasting and efficient fire extinguishing.

[0069] Therefore, the embodiment of the present invention provides a fire detection method, device and system for a wind turbine generator set, which uses a collection device to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the cabin of the wind turbine generator set; when it is determined that the collection device meets the self-test requirements based on the smoke concentration value and the wind speed measurement value, the smoke average value and the smoke change rate are calculated; if the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated; multiple wind speed positioning compensation values ​​are calculated based on each wind speed measurement value; fire positioning information is calculated based on all smoke concentration values, multiple maximum peaks in all smoke concentration values, and all wind speed positioning compensation values; and preset fire fighting operations are performed based on the fire alarm message and the fire positioning information. The problem of fire positioning in complex environments in wind turbine generator sets is solved, which is helpful for fixed-point fire fighting, improves the accuracy of fire detection and the efficiency of fire fighting, and ensures the safe operation of wind turbine generator sets.

[0070] See also Figure 1 , shows a schematic diagram of a fire detection system for a wind turbine generator set provided by an embodiment of the present invention. The detection system includes a collection device, a data collection device and an edge computing gateway.

[0071] Specifically, the acquisition equipment includes a smoke sensor array and a wind speed detection sensor; wherein the smoke sensor array includes a plurality of smoke sensors 1.

[0072] It should be noted that the smoke sensor 1 is installed on the inner wall of the nacelle of the wind turbine generator set, and the smoke sensor 1 is used to detect the smoke concentration in various directions in the nacelle of the wind turbine generator set. A wind speed detection sensor 2 is set on one side of each smoke sensor 1, and the wind speed detection sensor 2 is used to locate the location of the fire.

[0073] In some specific embodiments, with the center of the nacelle of the wind turbine generator set as the center, two smoke sensors 1 and wind speed detection sensors 2 are symmetrically arranged along the extension direction of the nacelle, and two smoke sensors 1 and wind speed detection sensors 2 are symmetrically arranged perpendicular to the extension direction of the nacelle.

[0074] In the specific application process, the cabin of the wind turbine generator set is simplified into a rectangular model with a length of L and a width of W. A two-dimensional coordinate system is established with the center of the cabin as the origin. A smoke sensor 1 and a wind speed detection sensor 2 are installed at the position.

[0075] It should be noted that establishing a two-dimensional coordinate system with the center of the cabin as the origin helps to accurately locate the location of the fire and achieve the purpose of targeted blasting and fire extinguishing.

[0076] In some specific embodiments, the smoke sensor 1 is an ionization smoke sensor; and the wind speed detection sensor 2 is a photoelectric wind speed sensor.

[0077] It is understandable that by installing smoke sensors and wind speed detection sensors, real-time monitoring of the environment inside the cabin can be achieved, and the generation of fire or smoke can be detected and the source of the fire can be located in time, and an alarm can be issued, thereby reducing casualties and equipment losses, improving the safety of wind turbines, and enhancing the reliability of wind turbine operation.

[0078] It should be noted that each smoke sensor 1 and each wind speed detection sensor 2 are respectively connected to the data acquisition device 3. Specifically, each sensor is connected to a data channel (such as an RS485 interface) of the data acquisition device 3, and the data acquisition device 3 is used to collect the data detected by each sensor in real time, and transmit the collected data to the edge computing gateway 4 via Ethernet.

[0079] It can be understood that the edge computing gateway 4 is in communication with the data acquisition device 3; the edge computing gateway 4 is used to perform the following steps: Figure 2 A fire detection method for a wind turbine is shown. When the edge computing gateway 4 determines that a fire occurs in the cabin of the wind turbine, the automatic fire-fighting device is controlled to extinguish the fire at the fire point. Specifically, the edge computing gateway 4 can control the automatic fire-fighting device to extinguish the fire at the fire point through the ModBus protocol.

[0080] See also Figure 2 , shows a flow chart of a fire detection method for a wind turbine generator set provided by an embodiment of the present invention, the method comprising:

[0081] Step S201: using a collection device to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set.

[0082] In the specific implementation of step S201, the smoke sensor and the wind speed detection sensor in the collection device are used to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set.

[0083] It should be noted that data analysis is performed based on the collected smoke concentration values ​​and wind speed measurement values ​​to determine whether a fire has occurred inside the cabin of the wind turbine generator set. However, before performing data analysis, it is necessary to check whether the collection equipment inside the cabin of the wind turbine generator set is normal and available.

[0084] It is understandable that the smoke concentration value and wind speed measurement value collected by the collection device are reliable only when the collection device inside the wind turbine nacelle is available normally. If the collection device inside the wind turbine nacelle is abnormal, it indicates that the smoke concentration value and wind speed measurement value collected by the collection device are inaccurate, and further fire analysis cannot be performed. Specifically, the process of self-checking the collection device is as follows: Figure 3 Contents shown:

[0085] Step S301: Calculate the first variance of all smoke density values ​​and the second variance of all wind speed measurement values.

[0086] In the specific implementation of step S301, the variance of all collected smoke concentration values ​​is calculated and marked as the first variance σ t 2 , calculate the variance of all collected wind speed measurements, marked as the second variance σ f 2 .

[0087] Step S302: Calculate the self-detection coefficient of the collection device according to the smoke self-detection weight of the collection device, the wind speed self-detection weight of the collection device, the first variance and the second variance.

[0088] In the specific implementation of step S302, according to the smoke self-detection weight a of the smoke sensor and the wind speed self-detection weight b of the wind speed detection sensor, and the first variance σ t 2 and the second variance σ f 2 , calculate the self-test coefficient M′ of the acquisition equipment.

[0089] It should be noted that, under normal circumstances, the air inside the cabin of a wind turbine is evenly diffused, the smoke concentration does not differ much, and the wind speed is close to 0, so a+b=1, and the value of a is greater than b.

[0090] It can be understood that the self-check coefficient M′ is specifically calculated by formula (1).

[0091]

[0092] After the self-check coefficient M′ is calculated, the self-check coefficient M′ is compared with the self-check coefficient standard value M.

[0093] It should be noted that the self-check coefficient standard value M is used to judge the availability of the smoke sensor and wind speed detection sensor in the acquisition equipment.

[0094] Step S303: When the self-test coefficient is greater than or equal to the self-test coefficient standard value, it is determined that the acquisition device does not meet the self-test requirement.

[0095] In the specific implementation of step S303, when the self-test coefficient M' is greater than or equal to the self-test coefficient standard value M, it is determined that the acquisition device does not meet the self-test requirement.

[0096] In some specific embodiments, when it is determined based on the smoke concentration value and the wind speed measurement value that the collection device does not meet the self-test requirements, collection device fault information is generated; the collection device fault information is output and the process ends.

[0097] It is understandable that outputting the acquisition device failure information allows the user to check and replace the acquisition device in a timely manner.

[0098] Step S304: When the self-test coefficient is less than the self-test coefficient standard value, it is determined that the acquisition device meets the self-test requirements.

[0099] In the specific implementation of step S304, when the self-check coefficient M' is less than the self-check coefficient standard value M, it is determined that the collection device meets the self-check requirement, indicating that the smoke concentration value and wind speed measurement value collected by the collection device are reliable and further operations can be performed.

[0100] Step S202: When it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, the smoke average value and the smoke change rate are calculated according to all the smoke concentration values.

[0101] In the specific implementation of step S202, when it is determined that the collection device meets the self-test requirements based on the smoke concentration value and the wind speed measurement value, the smoke average value is calculated based on all the collected smoke concentration values. and smoke change rate

[0102] It should be noted that each smoke sensor in the collection device collects smoke concentration values ​​synchronously. Therefore, the average smoke value is calculated based on all collected smoke concentration values. Specifically, the average value of the smoke concentration values ​​measured by each smoke sensor at a certain moment is calculated.

[0103] It is understandable that the smoke change rate is calculated based on all collected smoke concentration values Specifically, the difference between the average smoke concentration value at a certain moment and the average smoke concentration value at the previous moment is calculated. The measurement time interval is 1s.

[0104] In actual application, the edge computing gateway is set with an average value threshold S t , change rate threshold V t The average smoke and the mean value threshold S t Compare and convert the smoke change rate and the rate of change threshold V t Make a comparison.

[0105] It should be noted that if the average smoke Not less than the average value threshold S t , or the rate of change of smoke Not less than the change rate threshold V t , then generate fire warning information and return to step S201.

[0106] In some embodiments, fire warning information is output to achieve the purpose of reminding the user that there is a fire risk inside the cabin of the wind turbine generator set.

[0107] It should be noted that if the average smoke Less than the average threshold S t , and the smoke change rate Less than the rate of change threshold V t , then normal detection information is generated and output, wherein the normal detection information is used to indicate that the fire risk of the wind turbine generator set is low.

[0108] It can be understood that outputting the normal detection information can achieve the purpose of reminding the user that the risk of fire inside the cabin of the wind turbine generator set is low.

[0109] Step S203: If the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated.

[0110] In the specific implementation of step S203, if the smoke average value Not less than the average value threshold S t , and the smoke change rate Not less than the change rate threshold V t , a fire alarm message is generated.

[0111] It is understandable that when it is determined that a fire has occurred in the cabin of a wind turbine generator set based on the smoke average value and the smoke change rate, the location of the fire is further determined so as to perform a fixed-point firefighting operation and improve the firefighting efficiency.

[0112] In some embodiments, after generating fire alarm information, the location of the fire is located based on all collected wind speed measurement values ​​and all collected smoke concentration values, and the smoke sensor in the collection device is used to detect the smoke inside the cabin of the wind turbine in real time to achieve the purpose of real-time detection of smoke concentration changes.

[0113] Step S204: Calculate a plurality of wind speed positioning compensation values ​​according to each wind speed measurement value.

[0114] In the specific implementation process of step S204, after the fire alarm information is generated, the wind speed positioning compensation value in the x-axis direction and the wind speed positioning compensation value in the y-axis direction in the two-dimensional coordinate system are calculated according to the wind speed measurement value collected by each wind speed detection sensor in the cabin of the wind turbine generator set.

[0115] It should be noted that the specific process of calculating multiple wind speed positioning compensation values ​​is as follows: Figure 4 As shown:

[0116] Step S401: for each wind speed measurement value, obtain position information corresponding to the wind speed measurement values ​​in multiple directions inside the nacelle of the wind turbine generator set.

[0117] In the specific process of implementing step S401, for each wind speed measurement value collected by the wind speed detection sensor, the position information of each wind speed measurement value inside the nacelle of the wind turbine generator set is obtained.

[0118] For example, the position information of the wind speed measurement value A1 inside the nacelle of the wind turbine generator set is the position information of the wind speed detection sensor A1. The position information of the wind speed measurement value A2 inside the nacelle of the wind turbine generator set is the position information of the wind speed detection sensor A2.

[0119] Step S402: For each direction, the distance between the multiple wind speed measurement values ​​in the same direction is calculated according to the position information of the multiple wind speed measurement values ​​in the same direction.

[0120] In the specific implementation of step S402, for the x-axis direction in the two-dimensional coordinate system, the distance between the multiple wind speed measurement values ​​in the x-axis direction is calculated according to the position information of the multiple wind speed measurement values ​​in the x-axis direction. For the y-axis direction in the two-dimensional coordinate system, the distance between the multiple wind speed measurement values ​​in the y-axis direction is calculated according to the position information of the multiple wind speed measurement values ​​in the y-axis direction.

[0121] Step S403: Calculate the wind speed positioning compensation value in the same direction using multiple wind speed measurement values ​​and distances in the same direction to obtain wind speed positioning compensation values ​​in multiple directions.

[0122] In the process of specifically implementing step S403, the wind speed positioning compensation value in the x-axis direction is calculated by using the distance between multiple wind speed measurement values ​​in the x-axis direction in the two-dimensional coordinate system and the multiple wind speed measurement values ​​in the x-axis direction; the wind speed positioning compensation value in the y-axis direction is calculated by using the distance between multiple wind speed measurement values ​​in the y-axis direction in the two-dimensional coordinate system and the multiple wind speed measurement values ​​in the y-axis direction; and the wind speed positioning compensation values ​​in the x-axis direction and the y-axis direction are obtained.

[0123] It should be noted that the wind speed positioning compensation value is calculated according to formula (2). For example:

[0124]

[0125] Among them, d(x1,x2) is the distance corresponding to the positions x1 and x2, f(x1) is the wind speed measurement value at the position x1, f(x2) is the wind speed measurement value at the position x2, k is the compensation coefficient in the x-axis direction, and f(x1,x2) is the wind speed positioning compensation value corresponding to the positions x1 and x2.

[0126] It can be understood that in actual application, by substituting f(x1,x2)=0 into formula (2) in advance, the compensation coefficient in the x-axis direction can be calculated, which is marked as k. x Specifically, the compensation coefficient in the y-axis direction can be calculated by formula (3).

[0127]

[0128] Among them, d(y1,y2) is the distance corresponding to the positions y1 and y2, f(y1) is the wind speed measurement value at the position y1, f(y2) is the wind speed measurement value at the position y2, k is the compensation coefficient in the y-axis direction, and f(y1,y2) is the wind speed positioning compensation value corresponding to the positions y1 and y2.

[0129] It can be understood that in actual application, by substituting f(y1,y2)=0 into formula (3) in advance, the compensation coefficient in the y-axis direction can be calculated, which is marked as k. y .

[0130] Step S205: Calculate the fire location information based on all smoke density values, multiple maximum peaks among all smoke density values, and all wind speed location compensation values.

[0131] The specific implementation process of step S205 is as follows: Figure 5 As shown:

[0132] Step S501: for each smoke concentration value, obtain position information corresponding to the smoke concentration values ​​in multiple directions inside the nacelle of the wind turbine generator set.

[0133] When specifically implementing step S501, for each smoke concentration value collected by the smoke sensor, the position information of each smoke concentration value inside the nacelle of the wind turbine generator set is obtained.

[0134] For example, the position information of the smoke concentration value B1 inside the nacelle of the wind turbine generator set is the position information of the smoke sensor B1. The position information of the smoke concentration value B2 inside the nacelle of the wind turbine generator set is the position information of the smoke sensor B2.

[0135] Step S502: For each direction, a maximum peak value is selected from multiple smoke density values ​​in the same direction to obtain maximum peak values ​​in multiple directions.

[0136] When implementing step S502, the maximum peak value of the smoke concentration value in the x-axis direction is screened out from the multiple smoke concentration values ​​in the x-axis direction of the two-dimensional coordinate system, marked as t(x); the maximum peak value of the smoke concentration value in the y-axis direction is screened out from the multiple smoke concentration values ​​in the y-axis direction of the two-dimensional coordinate system, marked as t(y), and the maximum peak value of the smoke concentration value in the x-axis direction and the maximum peak value of the smoke concentration value in the y-axis direction are obtained.

[0137] Step S503: Calculate the fire location information using multiple smoke density values ​​in all directions, the maximum peak value in each direction, and the wind speed location compensation value in each direction.

[0138] When specifically implementing step S503, the fire location information is calculated using formula (4).

[0139]

[0140] First, the installation coordinates of each smoke sensor are:

[0141] In formula (4), t(x) is the maximum peak value of the concentration in the x-axis direction, t(y) is the maximum peak value of the concentration in the y-axis direction, t(x1) is the smoke concentration value at position x1, t(x2) is the smoke concentration value at position x2, t(y1) is the smoke concentration value at position y1, and t(y2) is the smoke concentration value at position y2. f(x1,x2) is the wind speed positioning compensation corresponding to positions x1 and x2, and f(y1,y2) is the wind speed positioning compensation corresponding to positions y1 and y2.

[0142] Optionally, after the fire alarm information is generated, the fire value field can be obtained through all smoke concentration values. The specific acquisition method is shown in formula (5):

[0143] z(x,y)=(t(x2)-t(x1),t(y1)-t(y2))(5)

[0144] Among them, z(x,y) is the fire location information, t(x1) is the smoke concentration value at position x1, t(x2) is the smoke concentration value at position x2, t(y1) is the smoke concentration value at position y1, and t(y2) is the smoke concentration value at position y2.

[0145] It should be noted that in the cabin environment of the wind turbine generator set, the gas flow and diffusion are uniform. The area with the highest smoke concentration is determined by all smoke concentration values ​​and the positioning area is compensated by all wind speed measurement values ​​to determine the fire value of each area in the cabin, that is, f(x,y)+z(x,y). The area with the highest value is the fire positioning area, that is, the area where the fire occurs. Figure 6 Different depths of colors are used to illustrate the size of the fire value.

[0146] It can be understood that the digital display of fire information for each area in the cabin based on all smoke concentration values ​​and all wind speed measurement values ​​improves the user's understanding of the fire risk in each area inside the cabin and improves reliability.

[0147] Step S206: Execute preset firefighting operations according to the fire alarm information and the fire location information.

[0148] In the specific implementation of step S206, the automatic fire fighting device is controlled to perform a fixed-point fire extinguishing operation on the cabin of the wind turbine generator set according to the fire alarm information and the fire location information.

[0149] It can be understood that when a fire occurs, the location of the fire can be accurately determined by analyzing the smoke concentration distribution and all wind speed measurements in the wind turbine nacelle.

[0150] It should be noted that the flow and diffusion of gas in the wind turbine nacelle is relatively uniform. First, the area with the highest smoke concentration can be identified through all smoke concentration values, and then all wind speed measurements are used to compensate for this area to determine the specific location of the fire (i.e., fire location information). Finally, among all the fire location information obtained by this method, the area with the highest concentration is the location of the fire.

[0151] It should be noted that the embodiment of the present invention performs calculations through the difference between the data collected by each sensor. The positive and negative values ​​of these differences represent the quadrant area in the established two-dimensional coordinate system model and have no other numerical significance. In order to improve the calculation speed, reduce the risk of the wind turbine cabin and enhance the safety factor, the embodiment of the present invention does not perform detailed calculations on the fire calculation values ​​of each divided area in the area in actual application, but only requires finding the area with the largest calculation value, thereby reducing the amount of calculation, improving the processing speed, and improving the safety of the wind turbine cabin.

[0152] In the embodiment of the present invention, the various smoke concentration values ​​and wind speed measurement values ​​inside the cabin of the wind turbine generator set are collected by using a collection device; when the collection device meets the self-checking requirements, the smoke average value and the smoke change rate are calculated; if the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated; and the fire location is accurately located by the fire location formula. In the present invention, the availability of the collection device can be judged, so as to achieve the purpose of accurate fire determination, accurate positioning, and improved fire fighting efficiency and safety, thereby ensuring the safe operation of the wind turbine generator set.

[0153] Corresponding to the fire detection method for a wind turbine generator set provided by the above embodiment of the present invention, see Figure 7 , shows a structural block diagram of a fire detection device for a wind turbine generator set provided by an embodiment of the present invention.

[0154] The detection device includes: a collection unit 701 , a first calculation unit 702 , a first generation unit 703 , a second calculation unit 704 , a third calculation unit 705 and an execution unit 706 .

[0155] The collection unit 701 is used to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set by using a collection device.

[0156] The first calculation unit 702 is used to calculate the smoke average value and the smoke change rate according to all smoke concentration values ​​when it is determined that the collection device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value.

[0157] The first generating unit 703 is configured to generate fire alarm information if the smoke average value is not less than the average value threshold and the smoke change rate is not less than the change rate threshold.

[0158] The second calculation unit 704 is used to calculate a plurality of wind speed positioning compensation values ​​according to each wind speed measurement value.

[0159] The third calculation unit 705 is used to calculate the fire location information according to all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values.

[0160] The execution unit 706 is used to execute a preset fire fighting operation according to the fire alarm information and the fire location information.

[0161] In the embodiment of the present invention, the various smoke concentration values ​​and wind speed measurement values ​​inside the cabin of the wind turbine generator set are collected by using a collection device; when the collection device meets the self-checking requirements, the smoke average value and the smoke change rate are calculated; if the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated; and the fire location is accurately located by the fire location formula. In the present invention, the availability of the collection device can be judged, so as to achieve the purpose of accurate fire determination, accurate positioning, and improved fire fighting efficiency and safety, thereby ensuring the safe operation of the wind turbine generator set.

[0162] Combination Figure 7 According to the content shown, the detection device also includes: a second generating unit and an output unit.

[0163] The second generating unit is used to generate the collection device failure information when it is determined according to the smoke concentration value and the wind speed measurement value that the collection device does not meet the self-check requirement.

[0164] The output unit is used to output the acquisition device failure information and end the process.

[0165] Combination Figure 7 According to the content shown, the detection device also includes: a fourth calculation unit, a fifth calculation unit, a first determination unit and a second determination unit.

[0166] The fourth calculation unit is used to calculate the first variance of all smoke density values ​​and the second variance of all wind speed measurement values.

[0167] The fifth calculation unit is used to calculate the self-detection coefficient of the collection device according to the smoke self-detection weight of the collection device, the wind speed self-detection weight of the collection device, the first variance and the second variance.

[0168] The first determination unit is used to determine that the acquisition device does not meet the self-test requirement when the self-test coefficient is greater than or equal to a standard value of the self-test coefficient.

[0169] The second determination unit is used to determine that the acquisition device meets the self-test requirement when the self-test coefficient is less than the self-test coefficient standard value.

[0170] Combination Figure 7 According to the content shown, the detection device also includes: a third generation unit and a fourth generation unit.

[0171] The third generating unit is used to generate fire warning information if the smoke average value is not less than the average value threshold, or the smoke change rate is not less than the change rate threshold, and return to the execution collection unit 701.

[0172] The fourth generating unit is used to generate and output normal detection information if the smoke average value is less than the average value threshold and the smoke change rate is less than the change rate threshold. The normal detection information is used to indicate that the fire risk of the wind turbine generator set is low.

[0173] Combination Figure 7 As shown in the content, the second calculation unit 704 includes: a first acquisition module, a first calculation module and a second calculation module.

[0174] The first acquisition module is used to acquire, for each wind speed measurement value, position information corresponding to the wind speed measurement values ​​in multiple directions inside the nacelle of the wind turbine generator set.

[0175] The first calculation module is used to calculate the distance between multiple wind speed measurement values ​​in the same direction according to the position information of the multiple wind speed measurement values ​​in the same direction for each direction.

[0176] The second calculation module is used to calculate the wind speed positioning compensation value in the same direction by using multiple wind speed measurement values ​​and distances in the same direction to obtain wind speed positioning compensation values ​​in multiple directions.

[0177] Combination Figure 7 As shown in the content, the third calculation unit 705 includes: a second acquisition module, a screening module and a third calculation module.

[0178] The second acquisition module is used to acquire, for each smoke concentration value, position information corresponding to the smoke concentration values ​​in multiple directions inside the nacelle of the wind turbine generator set.

[0179] The screening module is used to screen out the maximum peak value from multiple smoke concentration values ​​in the same direction for each direction, so as to obtain the maximum peak values ​​in multiple directions.

[0180] The third calculation module is used to calculate the fire location information by using the multiple smoke density values ​​in all directions, the maximum peak value in each direction and the wind speed location compensation value in each direction.

[0181] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0182] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0183] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A fire detection method for a wind turbine generator set, characterized in that: The method comprises: Using the collection equipment to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the wind turbine cabin; When it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, the smoke average value and the smoke change rate are calculated according to all smoke concentration values; If the smoke average value is not less than the average value threshold, and the smoke change rate is not less than the change rate threshold, a fire alarm message is generated; Calculate a plurality of wind speed positioning compensation values ​​according to each of the wind speed measurement values; The fire location information is calculated based on all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values; Execute preset fire fighting operations according to the fire alarm information and the fire location information.

2. The method according to claim 1, characterized in that The method further comprises: When it is determined according to the smoke concentration value and the wind speed measurement value that the acquisition device does not meet the self-check requirement, generating acquisition device failure information; Output the acquisition device failure information and end the process.

3. The method according to claim 1, characterized in that When it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value, before calculating the smoke average value and the smoke change rate according to all smoke concentration values, the method further includes: Calculate the first variance of all smoke concentration values ​​and the second variance of all wind speed measurements; Calculating a self-check coefficient of the collection device according to a smoke self-check weight of the collection device, a wind speed self-check weight of the collection device, the first variance, and the second variance; When the self-test coefficient is greater than or equal to the self-test coefficient standard value, it is determined that the acquisition device does not meet the self-test requirements; When the self-test coefficient is less than the self-test coefficient standard value, it is determined that the acquisition device meets the self-test requirement.

4. The method according to claim 1, characterized in that: When it is determined according to the smoke concentration value and the wind speed measurement value that the acquisition device meets the self-test requirement, after calculating the smoke average value and the smoke change rate according to all smoke concentration values, the method further includes: If the smoke average value is not less than the average value threshold, or the smoke change rate is not less than the change rate threshold, a fire warning message is generated, and the process returns to the step of using the collection device to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set; If the smoke average value is less than the average value threshold, and the smoke change rate is less than the change rate threshold, normal detection information is generated and output, and the normal detection information is used to indicate that the fire risk of the wind turbine generator set is low.

5. The method according to claim 1, characterized in that The calculating of a plurality of wind speed positioning compensation values ​​according to each of the wind speed measurement values ​​comprises: For each of the wind speed measurement values, obtaining position information corresponding to the wind speed measurement values ​​in multiple directions inside the nacelle of the wind turbine generator set; For each of the directions, calculating the distance between the multiple wind speed measurement values ​​in the same direction according to the position information of the multiple wind speed measurement values ​​in the same direction; The wind speed positioning compensation value in the same direction is calculated using the multiple wind speed measurement values ​​and the distance in the same direction to obtain wind speed positioning compensation values ​​in multiple directions.

6. The method according to claim 1, characterized in that The fire location information is calculated based on all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values, including: For each of the smoke concentration values, obtaining position information corresponding to the smoke concentration values ​​in multiple directions inside the nacelle of the wind turbine generator set; For each of the directions, a maximum peak value is selected from a plurality of smoke density values ​​in the same direction to obtain maximum peak values ​​in a plurality of directions; The fire location information is calculated using the multiple smoke density values ​​in all directions, the maximum peak value in each direction and the wind speed location compensation value in each direction.

7. A fire detection device for a wind turbine generator set, characterized in that: The device comprises: A collection unit, used to collect various smoke concentration values ​​and various wind speed measurement values ​​inside the nacelle of the wind turbine generator set by using a collection device; A first calculation unit, configured to calculate a smoke average value and a smoke change rate according to all smoke concentration values ​​when it is determined that the acquisition device meets the self-test requirement according to the smoke concentration value and the wind speed measurement value; A first generating unit, configured to generate fire alarm information if the smoke average value is not less than an average value threshold and the smoke change rate is not less than a change rate threshold; A second calculation unit, configured to calculate a plurality of wind speed positioning compensation values ​​according to each of the wind speed measurement values; A third calculation unit is used to calculate fire location information according to all smoke density values, multiple maximum peak values ​​among all smoke density values, and all wind speed location compensation values; An execution unit is used to execute a preset fire fighting operation according to the fire alarm information and the fire location information.

8. The device according to claim 7, characterized in that The device also includes: A second generating unit, configured to generate acquisition device failure information when it is determined according to the smoke concentration value and the wind speed measurement value that the acquisition device does not meet the self-check requirement; The output unit is used to output the acquisition device failure information and end the process.

9. The device according to claim 7, characterized in that The device also includes: a fourth calculation unit, used for calculating a first variance of all smoke density values ​​and a second variance of all wind speed measurement values; A fifth calculation unit, configured to calculate a self-check coefficient of the collection device according to the smoke self-check weight of the collection device, the wind speed self-check weight of the collection device, the first variance, and the second variance; A first determination unit, configured to determine that the acquisition device does not meet the self-test requirement when the self-test coefficient is greater than or equal to a self-test coefficient standard value; The second determining unit is used to determine that the acquisition device meets the self-test requirement when the self-test coefficient is less than the self-test coefficient standard value.

10. A fire detection system for a wind turbine generator set, characterized in that: The system includes: a collection device, a data collection device and an edge computing gateway; The collection device is installed on the inner wall of the cabin of the wind turbine generator set; The acquisition device is connected to the data acquisition device; The edge computing gateway is communicatively connected with the data acquisition device; The edge computing gateway is used to execute the fire detection method for a wind turbine generator set as described in any one of claims 1-6.

11. The fire detection system according to claim 10, characterized in that: The acquisition equipment includes a smoke sensor array and a wind speed detection sensor; The smoke sensor array comprises a plurality of smoke sensors, and the smoke sensor array is installed on the inner wall of the cabin of the wind turbine generator set; One side of each of the smoke sensors is provided with a wind speed detection sensor; Each of the smoke sensors and each of the wind speed detection sensors are respectively connected to the data acquisition device.

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