An intelligent sprinkler control system for fire protection in a two-wheeled electric vehicle shed

Abstract

The present invention discloses an intelligent sprinkler control system for fire protection in a carport of a two-wheeled electric vehicle, comprising a fire detection module, a data acquisition module and an intelligent control module. The fire detection module is suitable for detecting fire situations in the carport of the two-wheeled electric vehicle, and quickly responds to and identifies early signs of fire. The data acquisition module is used to collect a variety of environmental data at the site of the carport of the two-wheeled electric vehicle to provide a decision basis for the intelligent control module. The intelligent control module is used to make intelligent decisions and execute sprinkler control strategies based on information from the fire detection module and the data acquisition module. The fire detection module and the data acquisition module are both electrically connected to the intelligent control module. The present invention has the characteristics of strong practicality, intelligence and high efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of fire fighting, and in particular to an intelligent sprinkler control system for fire fighting in a carport of a two-wheeled electric vehicle. Background Art

[0002] With the acceleration of urbanization, two-wheeled electric vehicles, as a convenient and environmentally friendly means of transportation, have occupied an increasingly important position in the urban transportation system. However, the parking and management problems of two-wheeled electric vehicles have also arisen, especially the fire safety problem of carports has become increasingly prominent. Since two-wheeled electric vehicles usually use batteries as a power source, once the battery fails or is affected by external factors, it is very easy to cause a fire. Traditional firefighting methods often rely on manual alarms and manual fire extinguishing, which have shortcomings such as slow response speed and low fire extinguishing efficiency, making it difficult to effectively deal with the suddenness and rapid spread of fires in two-wheeled electric vehicle carports.

[0003] In terms of fire prevention and control in two-wheeled electric vehicle sheds, most existing fire protection systems use single fire detectors, such as smoke detectors or flame detectors. Although these detectors can achieve fire warning to a certain extent, they often have problems such as high false alarm rate and slow response speed. In addition, traditional fire sprinkler systems usually use fixed spray ranges and modes, and cannot be adjusted intelligently according to changes in the fire situation, resulting in poor fire extinguishing effects, and may even cause water waste or water pressure drop, which makes it difficult to maintain resources for subsequent fire extinguishing. Therefore, it is necessary to design an intelligent sprinkler control system for two-wheeled electric vehicle shed fire protection that is highly practical, intelligent and efficient. Summary of the invention

[0004] The object of the present invention is to provide an intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent sprinkler control system for fire protection in a two-wheeled electric vehicle shed, comprising a fire detection module, a data acquisition module and an intelligent control module. The fire detection module is suitable for detecting fire situations in the two-wheeled electric vehicle shed, quickly responding to and identifying early signs of fire. The data acquisition module is used to collect a variety of environmental data at the site of the two-wheeled electric vehicle shed to provide a decision-making basis for the intelligent control module. The intelligent control module is used to make intelligent decisions and execute sprinkler control strategies based on the information of the fire detection module and the data acquisition module. The fire detection module and the data acquisition module are both electrically connected to the intelligent control module.

[0006] According to the above technical solution, the fire detection module includes a photoelectric smoke sensing unit, a three-band flame detection sensing unit and a temperature sensing unit. The photoelectric smoke sensing unit is used to sense tiny smoke particles in the air. Once the smoke concentration is detected to exceed a preset threshold, a fire warning is immediately issued. The three-band flame detection sensing unit is used to use infrared and ultraviolet sensors of different bands to identify flame characteristics and detect fires. The temperature sensing unit is used to monitor the ambient temperature in real time to improve the accuracy of fire detection.

[0007] According to the above technical solution, the data acquisition module includes a visual imaging module, a wind direction acquisition module, a wind speed monitoring module and a water pressure measurement module. The visual imaging module is used to capture fire scene images, the wind direction acquisition module is used to measure real-time wind direction, the wind speed monitoring module is used to monitor real-time wind speed, and the water pressure measurement module is used to monitor the water pressure value of the fire protection system.

[0008] According to the above technical solution, the intelligent control module includes a spray mode control module, a spray range analysis module and a deviation analysis module. The spray mode control module is used to control the switching of the atomization spray mode and the water flow spray mode. The spray range analysis module is used to process and analyze the real-time activated spray range area and spray position area according to the fire image screen. The deviation analysis module is used to analyze and calculate the deviation direction and deviation distance of the spray range.

[0009] According to the above technical solution, a control method of an intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed includes:

[0010] Step S1: monitoring the smoke concentration in the shed of the two-wheeled electric vehicle by means of a photoelectric smoke sensing unit, and simultaneously using a three-band flame detection sensing unit and a temperature sensing unit to collaboratively detect whether a fire occurs in the shed of the two-wheeled electric vehicle;

[0011] Step S2: When the smoke particle concentration is detected to reach the threshold set by the system, it is determined that the two-wheeled electric vehicle shed has detected the initial signs of fire, and the electrical signal triggers the intelligent control module to start the atomization spray mode of the sprinkler head to spray the two-wheeled electric vehicle shed;

[0012] Step S3: when it is determined that a fire has occurred in the carport of the two-wheeled electric vehicle, the electric signal triggers the data acquisition module to start, and respectively collects the fire image, real-time wind direction, real-time wind speed value v and real-time water pressure value f, and at the same time, the electric signal triggers the spray mode control module to change the spray mode to the water flow spray mode; when it is determined that no fire has occurred in the carport of the two-wheeled electric vehicle, the atomization spray mode is controlled to be turned off, and the operation steps are ended;

[0013] Step S4: receiving the fire image screen, processing and analyzing the real-time activated sprinkler range area value S and sprinkler position area according to the fire image screen;

[0014] Step S5: Continue to respond to the collected data from the data collection module, analyze and calculate the deviation direction and deviation distance p of the spray range;

[0015] Step S6: Finally, the intelligent control module controls the sprinkler heads in the two-wheeled electric vehicle shed to control the sprinkler range and sprinkler mode according to the analysis and processing results, and performs intelligent sprinkler fire extinguishing.

[0016] According to the above technical solution, step S4 further includes:

[0017] Step S41: First, accurately calibrate the corresponding positions of the four corners and the center point of "upper left", "lower left", "upper right" and "lower right" in the actual carport in the fire image, and determine the proportional coefficient b between the image display and the actual environment accordingly to ensure accurate mapping of the image information and the physical space;

[0018] Step S42: Identify the open fire area in the fire image, fit the outline of the open fire area through the edge detection algorithm, and then, according to the number of pixels S contained in the outline x , combined with the previously determined proportionality coefficient b, through the formula S h = b·S x Calculate the area of ​​the open fire in the actual carport;

[0019] Step S43: Based on the open fire area S h , using the preset expansion coefficient a, through the formula S = (a + S h )·S h Calculate the required spraying area S;

[0020] Step S44: Based on the fitted open fire area contour line, gradually enlarge it according to the principle of equal proportion until the area enclosed by the enlarged contour line is equal to the calculated spray range area S. This enlarged area is locked as the final spray position area to ensure that the spraying operation can accurately cover the fire source and its surrounding high-risk areas.

[0021] According to the above technical solution, step S5 further includes:

[0022] According to the real-time wind direction data, the deviation direction of the spraying position area that needs to be adjusted is directly determined, that is, the direction indicated by the wind direction;

[0023] Then calculate the deviation distance p, the calculation formula of the deviation distance p is:

[0024]

[0025] Where v is the real-time wind speed value, v0 is the set wind speed stage threshold wind speed value, both in m / s; f is the collected sprinkler water pressure value; α and β are the control parameters of wind speed value and water pressure value, respectively, and both are constants greater than 0.

[0026] According to the above technical solution, step S6 further includes:

[0027] Step S61: the intelligent control module receives and analyzes the spray range area value S, the spray position area, the deviation direction and the deviation distance p obtained in steps S4 and S5;

[0028] Step S62: Determine the deviation direction and deviation distance p, and translate the spray position area determined by the analysis in step S4 to the deviation direction by a distance p as a whole, and keep the spray range area value S unchanged after the translation, and output the final spray range and spray position area;

[0029] Step S63: During the spraying process, steps S1-S6 are continuously executed, and according to the continuous monitoring of the changes in the fire situation, real-time wind speed, and water pressure parameters, the analysis and processing results are output, and the spraying range and spraying mode of the sprinkler head are adjusted in real time.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by integrating fire detection, data collection and intelligent control functions, can comprehensively monitor the fire situation in the carport of two-wheeled electric vehicles and respond immediately. In the early stages of a fire, even if there is only smoke but no open flame, the system can intelligently start the spraying, humidification and flame retardant, effectively curb the spread of the fire, and at the same time avoid the losses caused by false alarms or spraying without actual open flames. Once an open fire appears, the system immediately collects key data such as fire images, wind direction, wind speed and water pressure, and quickly determines the optimal spray range and position through algorithm analysis, ensuring accurate and efficient fire extinguishing, and achieving the optimal allocation of fire extinguishing resources. In addition, the present invention can also intelligently adjust the spraying strategy according to changes in wind speed, ensuring that the spray coverage always matches the trend of fire spread, achieving the effect of accurate and efficient fire extinguishing. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0032] In the attached picture:

[0033] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] See also Figure 1 The present invention provides a technical solution: an intelligent sprinkler control system for fire protection in a two-wheeled electric vehicle shed, comprising a fire detection module, a data acquisition module and an intelligent control module. The fire detection module is suitable for detecting fire situations in the two-wheeled electric vehicle shed, quickly responding to and identifying early signs of fire. The data acquisition module is used to collect a variety of environmental data at the site of the two-wheeled electric vehicle shed to provide a decision basis for the intelligent control module. The intelligent control module is used to make intelligent decisions and execute sprinkler control strategies based on information from the fire detection module and the data acquisition module. The fire detection module and the data acquisition module are both electrically connected to the intelligent control module.

[0036] The fire detection module includes a photoelectric smoke sensing unit, a three-band flame detection sensing unit and a temperature sensing unit. The photoelectric smoke sensing unit is used to sense tiny smoke particles in the air. Once the smoke concentration is detected to exceed the preset threshold, a fire warning is immediately issued. The three-band flame detection sensing unit is used to use infrared and ultraviolet sensors in different bands to identify flame characteristics and detect fires. The temperature sensing unit is used to monitor the ambient temperature in real time to improve the accuracy of fire detection.

[0037] The data acquisition module includes a visual imaging module, a wind direction acquisition module, a wind speed monitoring module and a water pressure measurement module. The visual imaging module is used to capture fire scene images, the wind direction acquisition module is used to measure real-time wind direction, the wind speed monitoring module is used to monitor real-time wind speed, and the water pressure measurement module is used to monitor the water pressure value of the fire protection system.

[0038] The intelligent control module includes a spray mode control module, a spray range analysis module and a deviation analysis module. The spray mode control module is used to control the switching between the atomization spray mode and the water flow spray mode. The spray range analysis module is used to process and analyze the real-time activated spray range area and spray position area according to the fire image. The deviation analysis module is used to analyze and calculate the deviation direction and deviation distance of the spray range.

[0039] A control method of an intelligent sprinkler control system for fire protection in a two-wheeled electric vehicle shed, comprising:

[0040] Step S1: The smoke concentration in the shed of the two-wheeled electric vehicle is monitored by a photoelectric smoke sensing unit, and at the same time, a three-band flame detection sensing unit and a temperature sensing unit are used to collaboratively detect whether a fire occurs in the shed of the two-wheeled electric vehicle; when the three-band flame detection sensing unit and the temperature sensing unit simultaneously exceed the set threshold, it is confirmed that a fire has occurred. The multi-sensor fusion technology and the staged analysis and judgment method can effectively improve the accuracy of fire detection and reduce false alarms;

[0041] Step S2: When the smoke particle concentration is monitored to reach the threshold set by the system, it is judged that the two-wheeled electric vehicle shed detects the initial signs of fire, and the electrical signal triggers the intelligent control module to start the atomization spray mode of the sprinkler head to spray the two-wheeled electric vehicle shed; when a fire occurs in the electric shed or in the early stage of a fire, it is often accompanied by a large amount of smoke from the battery. Therefore, through smoke concentration monitoring, even if there is no open flame in the early stage of the fire, the atomization spray mode of the sprinkler head can be started through the intelligent control technology to spray the inside of the shed with water mist, so that all vehicles in the shed can be humidified in advance, the flame retardancy of the vehicles can be increased, and the spread speed of the open flame that is about to be generated can be prevented. At the same time, the water mist quickly absorbs heat to effectively resist small open flames, and the spray mode does not need to soak the vehicles and shed facilities too much, avoiding misjudgment or losses caused by spraying without actual open flames;

[0042] Step S3: when it is determined that a fire has occurred in the carport of the two-wheeled electric vehicle, the electric signal triggers the data acquisition module to start, and respectively collects the fire image, real-time wind direction, real-time wind speed value v and real-time water pressure value f, and at the same time, the electric signal triggers the spray mode control module to change the spray mode to the water flow spray mode; when it is determined that no fire has occurred in the carport of the two-wheeled electric vehicle, the atomization spray mode is controlled to be turned off, and the operation steps are ended;

[0043] Step S4: receiving the fire image screen, processing and analyzing the real-time activated sprinkler range area value S and sprinkler position area according to the fire image screen;

[0044] Step S5: Continue to respond to the collected data from the data collection module, analyze and calculate the deviation direction and deviation distance p of the spray range;

[0045] Step S6: Finally, the intelligent control module controls the sprinkler heads in the two-wheeled electric vehicle shed to control the sprinkler range and sprinkler mode according to the analysis and processing results, and performs intelligent sprinkler fire extinguishing.

[0046] Step S4 further comprises:

[0047] Step S41: First, accurately calibrate the corresponding positions of the four corners and the center point of "upper left", "lower left", "upper right" and "lower right" in the actual carport in the fire image, and determine the proportional coefficient b between the image display and the actual environment accordingly to ensure accurate mapping of the image information and the physical space;

[0048] Step S42: Identify the open fire area in the fire image, fit the outline of the open fire area through the edge detection algorithm, and then, according to the number of pixels S contained in the outline x , combined with the previously determined proportionality coefficient b, through the formula S h = b·S x Calculate the area of ​​the open fire in the actual carport;

[0049] Step S43: Based on the open fire area S h , using the preset expansion coefficient a, through the formula S = (a + S h )·S h The area value S of the required spraying range is calculated, where the preset expansion coefficient a is used to consider the possible spread of the fire and the safety margin to ensure that the fire extinguishing effect covers all potential dangerous areas, and the area S of the open fire in the actual carport is h The larger the dynamic expansion coefficient (a+S h ) will also be larger, so that when the fire is larger, the spray range will be expanded to a greater extent, effectively avoiding the heat brought by the larger fire from affecting a larger range of vehicles;

[0050] Step S44: Based on the fitted open fire area contour line, gradually enlarge it according to the principle of equal proportion until the area enclosed by the enlarged contour line is equal to the calculated spray range area S. This enlarged area is locked as the final spray position area to ensure that the spraying operation can accurately cover the fire source and its surrounding high-risk areas.

[0051] Step S5 further comprises:

[0052] According to the real-time wind direction data, the deviation direction of the spraying position area that needs to be adjusted is directly determined, that is, the direction indicated by the wind direction;

[0053] Then calculate the deviation distance p, the calculation formula of the deviation distance p is:

[0054]

[0055] Wherein, v is the real-time wind speed value, v0 is the set wind speed stage threshold wind speed value, both in units of m / s; f is the collected sprinkler water pressure value; α and β are control parameters of wind speed value and water pressure value, respectively, and both are constants greater than 0; when the real-time wind speed value v is 0, it means that the fire in the two-wheeled electric vehicle shed will not be affected by the external wind speed and will not spread, so in this case, the offset amplitude is not set to 0; when the real-time wind speed value is greater than 0, but less than or equal to the wind speed stage threshold v0, it means that the fire scene is affected by the external wind speed, and there is a tendency to spread downstream along the airflow direction, while the spread area on the upstream side is suppressed. At the same time, it can be seen from the formula that the final offset amplitude is proportional to the real-time wind speed value. The larger the real-time wind speed value, the greater the impact of the airflow on the fire, and the larger the offset amplitude; when the real-time wind speed value is When it is greater than the wind speed stage threshold v0, the stronger wind speed not only affects the fire deviation trend, but also affects the spray water flow, especially when the water pressure of the spray water flow is low, the expected spray position of the sprinkler head and the actual spray position will have an offset error. Therefore, by adding a correction compensation for the water flow offset error in the formula, and the correction compensation amplitude is inversely proportional to the water pressure. When the water pressure is higher, the spray water flow reaches the expected spray position faster and more accurately, and is less affected by the wind speed. When the water pressure is lower, the slow spraying process of the spray water flow is more affected by the wind speed. When the wind speed is lower than the stage threshold v0, even if the water pressure is small, it is difficult to have a substantial impact on the spray water flow. Finally, the role of intelligent adjustment of the spray position is realized, so that a certain amount of spray range can be fully utilized under the premise of controlling the spray range to achieve the most efficient fire extinguishing effect.

[0056] Step S6 further comprises:

[0057] Step S61: the intelligent control module receives and analyzes the spray range area value S, the spray position area, the deviation direction and the deviation distance p obtained in steps S4 and S5;

[0058] Step S62: Determine the deviation direction and deviation distance p, and translate the spray position area determined by the analysis in step S4 to the deviation direction by a distance p as a whole, and keep the spray range area value S unchanged after the translation, and output the final spray range and spray position area;

[0059] Step S63: During the spraying process, continue to run steps S1-S6, output analysis and processing results based on the continuous monitoring of fire changes, real-time wind speed, and water pressure parameter changes, and adjust the spray range and spray mode of the sprinkler head in real time. For example, when the fire expands or the wind direction changes, the intelligent control module can quickly adjust the spraying strategy to ensure that the spray coverage always matches the fire spread trend;

[0060] The present invention detects the fire in the carport of the two-wheeled electric vehicle first. In a complete fire process, smoke is often released before the appearance of an open flame. Therefore, the detection and acquisition process is divided into two stages: smoke detection and open flame detection. If smoke is detected first but no open flame, the intelligent control module is directly used to control the spray port in the carport to spray in an atomization mode to humidify and flame retard the vehicle in the carport. When it is determined that an open flame has appeared, the open flame is suppressed in advance, and unnecessary losses to the vehicle and carport facilities caused by misjudgment or spraying without actual open flames are avoided. When an open flame is detected, the image of the open flame is collected by the data acquisition module, and the size of the open flame and the specific position of the open flame in the carport are confirmed by accurately mapping the image information with the physical space. Then, an algorithm is used to calculate the most suitable fire extinguishing range for the size of the open flame. Moreover, the fire extinguishing range does not simply increase with the size of the open flame, but also fully considers the more serious impact of the open flame on its surroundings after the fire becomes larger; then after confirming the required spraying range of the open flame, the location of the open flame and the outline of the open flame are proportionally offset and enlarged toward the periphery until the enlarged area is equal to the calculated spraying range area, thereby achieving the optimal spraying range size and the output of the spraying position area result. The spraying range size can effectively extinguish the current fire, while reducing the waste of water or water pressure drop caused by ineffective spraying; finally, under the above premise, the influence of ambient wind speed on the fire and spraying is further considered, and the influencing factors of different wind speeds are discussed by classification, and the corresponding algorithm is given to deal with the phenomenon of fire deviation and spread or effective spraying area deviation, and corrections are made, thereby achieving the effect of accurate and efficient fire extinguishing.

[0061] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including 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.

[0062] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed, comprising a fire detection module, a data acquisition module and an intelligent control module, characterized in that: The fire detection module is suitable for detecting fire situations in the carport of a two-wheeled electric vehicle, responding quickly and identifying early signs of fire. The data acquisition module is used to collect various environmental data at the site of the two-wheeled electric vehicle carport to provide a decision-making basis for the intelligent control module. The intelligent control module is used to make intelligent decisions and execute sprinkler control strategies based on the information of the fire detection module and the data acquisition module. The fire detection module and the data acquisition module are both electrically connected to the intelligent control module.

2. According to claim 1, an intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed is characterized by: The fire detection module includes a photoelectric smoke sensing unit, a three-band flame detection sensing unit and a temperature sensing unit. The photoelectric smoke sensing unit is used to sense tiny smoke particles in the air. Once the smoke concentration is detected to exceed a preset threshold, a fire warning is immediately issued. The three-band flame detection sensing unit is used to use infrared and ultraviolet sensors of different bands to identify flame characteristics and detect fires. The temperature sensing unit is used to monitor the ambient temperature in real time to improve the accuracy of fire detection.

3. According to claim 1, the intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed is characterized by: The data acquisition module includes a visual imaging module, a wind direction acquisition module, a wind speed monitoring module and a water pressure measurement module. The visual imaging module is used to capture fire scene images, the wind direction acquisition module is used to measure real-time wind direction, the wind speed monitoring module is used to monitor real-time wind speed, and the water pressure measurement module is used to monitor the water pressure value of the fire protection system.

4. According to claim 1, the intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed is characterized by: The intelligent control module includes a spray mode control module, a spray range analysis module and a deviation analysis module. The spray mode control module is used to control the switching of the atomization spray mode and the water flow spray mode. The spray range analysis module is used to process and analyze the real-time activated spray range area and spray position area according to the fire image screen. The deviation analysis module is used to analyze and calculate the deviation direction and deviation distance of the spray range.

5. A control method for applying an intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed as claimed in any one of claims 1 to 4, characterized in that: include: Step S1: monitoring the smoke concentration in the shed of the two-wheeled electric vehicle by means of a photoelectric smoke sensing unit, and simultaneously using a three-band flame detection sensing unit and a temperature sensing unit to collaboratively detect whether a fire occurs in the shed of the two-wheeled electric vehicle; Step S2: When the smoke particle concentration is detected to reach the threshold set by the system, it is determined that the two-wheeled electric vehicle shed has detected the initial signs of fire, and the electrical signal triggers the intelligent control module to start the atomization spray mode of the sprinkler head to spray the two-wheeled electric vehicle shed; Step S3: when it is determined that a fire has occurred in the carport of the two-wheeled electric vehicle, the electric signal triggers the data acquisition module to start, and respectively collects the fire image, real-time wind direction, real-time wind speed value v and real-time water pressure value f, and at the same time, the electric signal triggers the spray mode control module to change the spray mode to the water flow spray mode; when it is determined that no fire has occurred in the carport of the two-wheeled electric vehicle, the atomization spray mode is controlled to be turned off, and the operation steps are ended; Step S4: receiving the fire image screen, processing and analyzing the real-time activated sprinkler range area value S and sprinkler position area according to the fire image screen; Step S5: Continue to respond to the collected data from the data collection module, analyze and calculate the deviation direction and deviation distance p of the spray range; Step S6: Finally, the intelligent control module controls the sprinkler heads in the two-wheeled electric vehicle shed to control the sprinkler range and sprinkler mode according to the analysis and processing results, and performs intelligent sprinkler fire extinguishing.

6. The control method of the intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed according to claim 5 is characterized by: The step S4 further comprises: Step S41: First, accurately calibrate the corresponding positions of the four corners and the center point of "upper left", "lower left", "upper right" and "lower right" in the actual carport in the fire image, and determine the proportional coefficient b between the image display and the actual environment accordingly to ensure accurate mapping of the image information and the physical space; Step S42: Identify the open fire area in the fire image, fit the outline of the open fire area through the edge detection algorithm, and then, according to the number of pixels S contained in the outline x , combined with the previously determined proportionality coefficient b, through the formula S h = b·S x Calculate the area of ​​the open fire in the actual carport; Step S43: Based on the open fire area S h , using the preset expansion coefficient a, through the formula S = (a + S h )·S h Calculate the required spraying area S; Step S44: Based on the fitted open fire area contour line, gradually enlarge it according to the principle of equal proportion until the area enclosed by the enlarged contour line is equal to the calculated spray range area S. This enlarged area is locked as the final spray position area to ensure that the spraying operation can accurately cover the fire source and its surrounding high-risk areas.

7. The control method of the intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed according to claim 5, characterized in that: The step S5 further comprises: According to the real-time wind direction data, the deviation direction of the spraying position area that needs to be adjusted is directly determined, that is, the direction indicated by the wind direction; Then calculate the deviation distance p, the calculation formula of the deviation distance p is: Where v is the real-time wind speed value, v0 is the set wind speed stage threshold wind speed value, both in m / s; f is the collected sprinkler water pressure value; α and β are the control parameters of wind speed value and water pressure value, respectively, and both are constants greater than 0.

8. The control method of the intelligent sprinkler control system for fire protection of a two-wheeled electric vehicle shed according to claim 5 is characterized by: The step S6 further comprises: Step S61: the intelligent control module receives and analyzes the spray range area value S, the spray position area, the deviation direction and the deviation distance p obtained in steps S4 and S5; Step S62: Determine the deviation direction and deviation distance p, and translate the spray position area determined by the analysis in step S4 to the deviation direction by a distance p as a whole, and keep the spray range area value S unchanged after the translation, and output the final spray range and spray position area; Step S63: During the spraying process, steps S1-S6 are continuously executed, and according to the continuous monitoring of the changes in the fire situation, real-time wind speed, and water pressure parameters, the analysis and processing results are output, and the spraying range and spraying mode of the sprinkler head are adjusted in real time.

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