Intelligent spraying control method, system and equipment for power transmission and transformation project and medium

Abstract

The invention discloses a power transmission and transformation project intelligent spraying control method, system and device and a medium, and relates to the technical field of spraying, the method comprises the steps that the current position of an aircraft is acquired, and the current spraying area of the aircraft is determined according to the current position; environment data of the current spraying area are obtained, and a target spraying material and the spraying thickness of the current spraying area are determined according to the environment data; a target spray head is determined according to the target spraying material, and a target spraying distance is determined according to the target spray head; and a spraying control instruction is generated according to the target spraying material, the spraying thickness, the target spraying distance and the target spraying head, so that the target spraying head is controlled to spray the current spraying area. The spraying device has the effect of improving the spraying efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of spraying, and in particular to an intelligent spraying control method, system, equipment and medium for power transmission and transformation engineering. Background Art

[0002] Spraying is an important surface treatment technology, which is widely used in industries such as automobile, aviation, construction and furniture. Its main purpose is to provide protective, decorative or functional effects by evenly applying the coating to the surface of the object. Spraying technology can be divided into many types, including air spraying, airless spraying and electrophoretic spraying. Each method has its own unique advantages and applicable scenarios. For example, air spraying is suitable for delicate coating, while airless spraying can achieve higher coating efficiency.

[0003] During the spraying process, the choice of paint, the setting of the spraying equipment and the skill level of the operator will directly affect the final coating quality. Although modern spraying equipment continues to develop and improve the accuracy and efficiency of spraying, traditional spraying operations often rely on manual operation, which is inefficient and prone to errors, and the spraying thickness is difficult to guarantee. Summary of the invention

[0004] In order to improve the spraying efficiency, the present application provides an intelligent spraying control method, system, equipment and medium for power transmission and transformation engineering.

[0005] In the first aspect, the present application provides an intelligent spraying control method for power transmission and transformation engineering, which adopts the following technical solution:

[0006] An intelligent spraying control method for power transmission and transformation engineering is used in an intelligent spraying system. The spraying system includes an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module. The method is executed by the spraying control module. The method includes:

[0007] Acquire the current position of the aircraft, and determine the current spraying area of ​​the aircraft according to the current position;

[0008] Acquiring environmental data of the current spraying area, and determining a target spraying material and a spraying thickness of the current spraying area according to the environmental data;

[0009] Determining a target nozzle according to the target spraying material, and determining a target spraying distance according to the target nozzle;

[0010] A spraying control instruction is generated according to the target spraying material, the spraying thickness, the target spraying distance and the target spraying head to control the target spraying head to spray the current spraying area.

[0011] By adopting the above technical scheme, the current position of the aircraft is first obtained, and the current spraying area of ​​the aircraft is determined according to the current position of the aircraft, then the environmental data of the current spraying area is obtained, and the target spraying material and spraying thickness of the current spraying area are determined according to the environmental data, then the target nozzle is determined according to the target spraying material, and the target spraying distance is determined according to the target nozzle, and finally a spraying control instruction is generated according to the target spraying material, spraying thickness, target spraying distance and target nozzle to control the target nozzle to spray the current spraying area. Compared with the manual spraying method, the spraying efficiency is improved and the probability of error in the spraying process is reduced. At the same time, the target nozzle can be selected according to the spraying environment to spray the appropriate target spraying material, and spray according to the determined spraying thickness, thereby improving the quality of spraying.

[0012] Optionally, the step of determining a current spraying area of ​​the aircraft according to the current position includes:

[0013] Acquire a three-dimensional model of a target spraying object, and determine at least one target spraying area of ​​the target spraying object according to the three-dimensional model;

[0014] A current spraying area of ​​the aircraft is determined according to the at least one target spraying area and the current position.

[0015] By adopting the above technical solution, in order to determine the current spraying area of ​​the aircraft, a three-dimensional model of the target spraying object is obtained, and at least one target spraying area of ​​the target spraying object is determined based on the three-dimensional model, and then the current spraying area of ​​the aircraft is determined based on the at least one target spraying area and the current position.

[0016] Optionally, the environmental data includes temperature data, humidity data and wind speed data, and the step of determining the target spraying material and spraying thickness of the current spraying area according to the environmental data includes:

[0017] Determine characteristic data of the current spraying area according to the three-dimensional model;

[0018] Inputting the characteristic data, the temperature data, the humidity data and the wind speed data into a pre-generated spray material model to obtain first material characteristic data;

[0019] Determine the optimal spraying material from a first preset table according to the first material property data, and use the optimal spraying material as the target spraying material; the first preset table includes material property data and spraying material data, and the first preset table is used to indicate the corresponding relationship between the material property data and the spraying material data;

[0020] Second material characteristic data of the target spraying material is acquired, and the spraying thickness of the target spraying material is determined according to the second material characteristic data and the environmental data.

[0021] By adopting the above technical scheme, in order to determine the target spraying material and spraying thickness of the current spraying area, the characteristic data of the current spraying area is determined according to the three-dimensional model, and then the characteristic data, temperature data, humidity data and wind speed data are input into the pre-generated spraying material model to obtain the first material characteristic data, and then the optimal spraying material is determined from the first preset table according to the first material characteristic data, and the optimal spraying material is used as the target spraying material. The first preset table includes material characteristic data and spraying material data. The first preset table is used to represent the correspondence between material characteristic data and spraying material data. Finally, the second material characteristic data of the target spraying material is obtained, and the spraying thickness of the target spraying material is determined according to the second material characteristic data and the environmental data.

[0022] Optionally, the step of generating the pre-generated spraying material model includes:

[0023] Acquire model training data, the model training data including historical feature data, historical temperature data, historical humidity data and historical wind speed data, and divide the model training data according to a preset ratio to form a training data set, a verification data set and a test data set;

[0024] Training a pre-established spraying material model according to the training data set to obtain a trained spraying material model;

[0025] Optimizing the trained spray material model according to the verification data set to obtain an optimized spray material model;

[0026] The optimized spray material model is tested according to the test data set to obtain a pre-generated spray material model.

[0027] By adopting the above technical scheme, in order to obtain a pre-generated spray material model, model training data is obtained, the model training data includes historical feature data, historical temperature data, historical humidity data and historical wind speed data, and the model training data is divided according to a preset ratio to form a training data set, a verification data set and a test data set, and then the pre-established spray material model is trained according to the training data set to obtain a trained spray material model, and then the trained spray material model is optimized according to the verification data set to obtain an optimized spray material model, and finally the optimized spray material model is tested according to the test data set to obtain a pre-generated spray material model.

[0028] Optionally, the first material property data includes viscosity, wear resistance and weather resistance, and the step of determining the optimal spraying material from a first preset table according to the first material property data includes:

[0029] Standardizing the first material characteristic data to obtain corresponding standardized data; the standardized data includes standard viscosity, standard wear resistance and standard weather resistance;

[0030] Obtaining target characteristic data of each spray material from a first preset table, the target characteristic data including viscosity, wear resistance and weather resistance, and calculating the difference of each spray material according to the standardized data and the target characteristic data;

[0031] The spraying material corresponding to the minimum value of the difference is used as the target spraying material.

[0032] By adopting the above technical solution, in order to determine the optimal spraying material, the first material characteristic data is first standardized to obtain corresponding standardized data. The standardized data includes standard viscosity, standard wear resistance and standard weather resistance, and then the target characteristic data of each spraying material is obtained from the first preset table, the target characteristic data includes viscosity, wear resistance and weather resistance, and the difference of each spraying material is calculated based on the standardized data and the target characteristic data, and then the spraying material corresponding to the minimum value in the difference is used as the target spraying material.

[0033] Optionally, the step of determining the spraying thickness of the target spraying material according to the second material characteristic data and the environmental data includes:

[0034] Determine the viscosity η and density ρ of the target spraying material according to the second material characteristic data;

[0035] Determine the current temperature T, the current humidity H and the current wind speed V according to the environmental data wind ;

[0036] The spraying thickness H is calculated according to a preset spraying thickness formula; the preset spraying thickness formula is:

[0037]

[0038] Where k is the empirical coefficient, T0 represents the standard temperature, H0 represents the standard temperature, f(V wind ) is the wind speed influence function.

[0039] By adopting the above technical solution, in order to determine the spraying thickness of the target spraying material, the viscosity η and density ρ of the target spraying material are determined according to the second material characteristic data, and then the current temperature T, the current humidity H and the current wind speed V are determined according to the environmental data. wind, and then calculate the spraying thickness H according to the preset spraying thickness formula.

[0040] Optionally, the step of determining a target nozzle according to the target spraying material, and determining a target spraying distance according to the target nozzle includes:

[0041] Matching the target spraying material in a second preset table to obtain a corresponding target nozzle; the second preset table includes spraying material data and nozzle data, and the second preset table is used to indicate the corresponding relationship between the spraying material data and the nozzle data;

[0042] Acquiring nozzle parameters of the target nozzle, and determining an optimal spraying distance of the target nozzle according to the nozzle parameters;

[0043] The target spraying distance is determined according to the optimal spraying distance.

[0044] By adopting the above technical solution, in order to determine the target nozzle and the target spraying distance, the target spraying material is matched in the second preset table to obtain the corresponding target nozzle. The second preset table includes spraying material data and nozzle data, and the second preset table is used to indicate the corresponding relationship between the spraying material data and the nozzle data, and then the nozzle parameters of the target nozzle are obtained, and the optimal spraying distance of the target nozzle is determined according to the nozzle parameters, and then the target spraying distance is determined according to the optimal spraying distance.

[0045] In the second aspect, the present application also provides an intelligent spraying system, which adopts the following technical solution:

[0046] An intelligent spraying system includes an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module, wherein the spraying control module includes:

[0047] A current spraying area determination submodule, used to obtain the current position of the aircraft and determine the current spraying area of ​​the aircraft according to the current position;

[0048] A spraying thickness determination submodule, used to obtain environmental data of the current spraying area, and determine the target spraying material and spraying thickness of the current spraying area according to the environmental data;

[0049] A target spraying distance determination submodule, used to determine a target spraying head according to the target spraying material, and to determine a target spraying distance according to the target spraying head;

[0050] The spray control instruction generation submodule is used to generate a spray control instruction according to the target spray material, the spray thickness, the target spray distance and the target spray head, so as to control the target spray head to spray the current spray area.

[0051] In a third aspect, the present application also provides a computer device, which adopts the following technical solution:

[0052] A computer device comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor implements the method described in the first aspect when executing the computer program.

[0053] In a fourth aspect, the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0054] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the method described in the first aspect.

[0055] To summarize, the present application includes at least the following beneficial technical effects: first, the current position of the aircraft is obtained, and the current spraying area of ​​the aircraft is determined according to the current position of the aircraft, then the environmental data of the current spraying area is obtained, and the target spraying material and spraying thickness of the current spraying area are determined according to the environmental data, then the target nozzle is determined according to the target spraying material, and the target spraying distance is determined according to the target nozzle, and finally, a spraying control instruction is generated according to the target spraying material, spraying thickness, target spraying distance and target nozzle to control the target nozzle to spray the current spraying area. Compared with the manual spraying method, the spraying efficiency is improved and the probability of error in the spraying process is reduced. At the same time, the target nozzle can be selected according to the spraying environment to spray the appropriate target spraying material, and spray according to the determined spraying thickness, thereby improving the quality of spraying. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present application.

[0057] Figure 2 It is a schematic diagram of the structure of the system of this application.

[0058] Figure 3 It is a structural block diagram of the computer device of the present application. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-3 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] The embodiment of the present application discloses an intelligent spraying control method for power transmission and transformation engineering.

[0061] Reference Figure 1, an intelligent spraying control method for power transmission and transformation engineering, characterized in that it is used for an intelligent spraying system, the spraying system includes an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module.

[0062] In the electrostatic spraying system, the positive electrode is set on the pole tower, and the negative electrode is set on the nozzle. A high-voltage electrostatic field is formed between the two electrodes. The cathode produces corona discharge, which makes the sprayed paint droplets charged and further atomized. According to the principle that like charges repel and opposite charges attract, the charged paint droplets are attracted to the steel frame along the direction of the electric line under the action of the electrostatic field. After discharge, they adhere to the steel frame and can also be painted on some surfaces on the back of the frame by the so-called "electrostatic embrace" phenomenon. In the aircraft module, the aircraft carries a nozzle to spray the steel frame according to the designed path, and the base point can be located on site according to the model size of the steel frame.

[0063] The intelligent spraying control method for power transmission and transformation engineering is executed by a spraying control module, and the intelligent spraying control method for power transmission and transformation engineering includes:

[0064] Step S11, obtaining the current position of the aircraft, and determining the current spraying area of ​​the aircraft according to the current position.

[0065] It should be noted that the aircraft is equipped with a variety of sensors, such as visual sensors, lidar, temperature sensors, humidity sensors, etc., which can sense the surrounding environment, the shape and color of the steel frame surface, etc. in real time.

[0066] Step S12, acquiring environmental data of the current spraying area, and determining the target spraying material and spraying thickness of the current spraying area according to the environmental data.

[0067] Step S13, determining a target nozzle according to the target spraying material, and determining a target spraying distance according to the target nozzle.

[0068] It can be understood that the target spray head is a spray head that sprays the target spray material.

[0069] Step S14, generating a spraying control instruction according to the target spraying material, spraying thickness, target spraying distance and target spraying head, so as to control the target spraying head to spray the current spraying area.

[0070] In the above-mentioned embodiment, the current position of the aircraft is first obtained, and the current spraying area of ​​the aircraft is determined according to the current position of the aircraft, then the environmental data of the current spraying area is obtained, and the target spraying material and spraying thickness of the current spraying area are determined according to the environmental data, then the target nozzle is determined according to the target spraying material, and the target spraying distance is determined according to the target nozzle, and finally a spraying control instruction is generated according to the target spraying material, spraying thickness, target spraying distance and target nozzle to control the target nozzle to spray the current spraying area. Compared with the manual spraying method, the spraying efficiency is improved and the probability of error in the spraying process is reduced. At the same time, the target nozzle can be selected according to the spraying environment to spray the appropriate target spraying material, and spray according to the determined spraying thickness, thereby improving the quality of spraying.

[0071] As a further implementation of the spraying control method, the step of determining the current spraying area of ​​the aircraft according to the current position includes:

[0072] Step S21, acquiring a three-dimensional model of the target spraying object, and determining at least one target spraying area of ​​the target spraying object according to the three-dimensional model.

[0073] Step S22, determining a current spraying area of ​​the aircraft according to at least one target spraying area and the current position.

[0074] In the above embodiment, in order to determine the current spraying area of ​​the aircraft, a three-dimensional model of the target spraying object is obtained, and at least one target spraying area of ​​the target spraying object is determined based on the three-dimensional model, and then the current spraying area of ​​the aircraft is determined based on the at least one target spraying area and the current position.

[0075] As a further implementation of the spraying control method, the environmental data includes temperature data, humidity data and wind speed data, and the step of determining the target spraying material and spraying thickness of the current spraying area according to the environmental data includes:

[0076] Step S31, determining characteristic data of the current spraying area according to the three-dimensional model.

[0077] Step S32, inputting the characteristic data, temperature data, humidity data and wind speed data into a pre-generated spray material model to obtain first material characteristic data.

[0078] Step S33, determining the optimal spraying material from the first preset table according to the first material characteristic data, and using the optimal spraying material as the target spraying material.

[0079] The first preset table includes material property data and spraying material data, and the first preset table is used to indicate the corresponding relationship between the material property data and the spraying material data. An example of the first preset table is as follows:

[0080] Material properties Spraying materials Strong corrosion resistance Epoxy resin coating High temperature resistance Silicate coatings High mechanical strength Polyurethane coating Low temperature flexibility Acrylic paint

[0081] Step S34, obtaining second material characteristic data of the target spraying material, and determining the spraying thickness of the target spraying material according to the second material characteristic data and the environmental data.

[0082] In the above embodiment, in order to determine the target spraying material and spraying thickness of the current spraying area, the characteristic data of the current spraying area is determined according to the three-dimensional model, and then the characteristic data, temperature data, humidity data and wind speed data are input into the pre-generated spraying material model to obtain the first material characteristic data, and then the optimal spraying material is determined from the first preset table according to the first material characteristic data, and the optimal spraying material is used as the target spraying material. The first preset table includes material characteristic data and spraying material data. The first preset table is used to represent the correspondence between material characteristic data and spraying material data. Finally, the second material characteristic data of the target spraying material is obtained, and the spraying thickness of the target spraying material is determined according to the second material characteristic data and the environmental data.

[0083] As a further embodiment of the spraying control method, the step of generating a pre-generated spraying material model includes:

[0084] Step S41, obtaining model training data, the model training data including historical feature data, historical temperature data, historical humidity data and historical wind speed data, and dividing the model training data according to a preset ratio to form a training data set, a verification data set and a test data set.

[0085] Step S42: training the pre-established spraying material model according to the training data set to obtain a trained spraying material model.

[0086] Step S43, optimizing the trained spray material model according to the verification data set to obtain an optimized spray material model.

[0087] Step S44, testing the optimized spraying material model according to the test data set to obtain a pre-generated spraying material model.

[0088] In the above embodiment, in order to obtain a pre-generated spray material model, model training data is obtained, and the model training data includes historical feature data, historical temperature data, historical humidity data and historical wind speed data, and the model training data is divided according to a preset ratio to form a training data set, a verification data set and a test data set. Then, the pre-established spray material model is trained according to the training data set to obtain a trained spray material model, and then the trained spray material model is optimized according to the verification data set to obtain an optimized spray material model. Finally, the optimized spray material model is tested according to the test data set to obtain a pre-generated spray material model.

[0089] As a further implementation of the spraying control method, the first material characteristic data includes viscosity, wear resistance and weather resistance, and the step of determining the optimal spraying material from the first preset table according to the first material characteristic data includes:

[0090] Step S51, standardize the first material characteristic data to obtain corresponding standardized data. The standardized data includes standard viscosity, standard wear resistance and standard weather resistance.

[0091] Step S52, obtaining target characteristic data of each spray material from the first preset table, the target characteristic data including viscosity, wear resistance and weather resistance, and calculating the difference of each spray material according to the standardized data and the target characteristic data.

[0092] Step S53: taking the spraying material corresponding to the minimum value of the difference as the target spraying material.

[0093] In the above embodiment, in order to determine the optimal spraying material, the first material characteristic data is first standardized to obtain corresponding standardized data. The standardized data includes standard viscosity, standard wear resistance and standard weather resistance, and then the target characteristic data of each spraying material is obtained from the first preset table, the target characteristic data includes viscosity, wear resistance and weather resistance, and the difference of each spraying material is calculated based on the standardized data and the target characteristic data, and then the spraying material corresponding to the minimum value in the difference is used as the target spraying material.

[0094] As a further implementation of the spraying control method, the step of determining the spraying thickness of the target spraying material according to the second material characteristic data and the environmental data includes:

[0095] Step S61, determining the viscosity η and density ρ of the target spraying material according to the second material characteristic data.

[0096] Step S62: determine the current temperature T, current humidity H and current wind speed V according to the environmental data wind .

[0097] Step S63, calculating the spraying thickness H according to a preset spraying thickness formula.

[0098] The preset spray thickness formula is:

[0099]

[0100] Where k is the empirical coefficient, T0 represents the standard temperature, H0 represents the standard temperature, f(V wind ) is the wind speed influence function.

[0101] It should be noted that f(V wind ) can be set according to actual conditions, f(V wind ) can be a linear function, a power law function, or a piecewise function. For example, when f(V wind ) is a linear function, f(V wind )=1-c*V wind , c is the influence coefficient.

[0102] In the above embodiment, in order to determine the spraying thickness of the target spraying material, the viscosity η and density ρ of the target spraying material are determined according to the second material characteristic data, and then the current temperature T, the current humidity H and the current wind speed V are determined according to the environmental data. wind , and then calculate the spraying thickness H according to the preset spraying thickness formula.

[0103] As a further implementation of the spraying control method, the steps of determining a target nozzle according to a target spraying material, and determining a target spraying distance according to the target nozzle include:

[0104] Step S71, matching the target spraying material in the second preset table to obtain a corresponding target spray head.

[0105] The second preset table includes spraying material data and nozzle data, and the second preset table is used to indicate the corresponding relationship between the spraying material data and the nozzle data.

[0106] Step S72, obtaining the nozzle parameters of the target nozzle, and determining the optimal spraying distance of the target nozzle according to the nozzle parameters.

[0107] Step S73, determining the target spraying distance according to the optimal spraying distance.

[0108] It should be noted that the optimal spraying distance can be used as the target spraying distance, or the target spraying distance can be calculated according to the optimal spraying example based on the actual situation, so that the target spraying distance is more suitable for the actual situation than the optimal spraying distance.

[0109] In the above embodiment, in order to determine the target nozzle and the target spraying distance, the target spraying material is matched in the second preset table to obtain the corresponding target nozzle. The second preset table includes spraying material data and nozzle data, and the second preset table is used to indicate the corresponding relationship between the spraying material data and the nozzle data, and then the nozzle parameters of the target nozzle are obtained, and the optimal spraying distance of the target nozzle is determined according to the nozzle parameters, and then the target spraying distance is determined according to the optimal spraying distance.

[0110] The embodiment of the present application also discloses an intelligent spraying system.

[0111] refer to Figure 3 , an intelligent spraying system, including an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module, the spraying control module includes:

[0112] The current spraying area determination submodule is used to obtain the current position of the aircraft and determine the current spraying area of ​​the aircraft according to the current position;

[0113] The spraying thickness determination submodule is used to obtain the environmental data of the current spraying area and determine the target spraying material and spraying thickness of the current spraying area according to the environmental data;

[0114] A target spraying distance determination submodule is used to determine a target spraying head according to a target spraying material, and to determine a target spraying distance according to the target spraying head;

[0115] The spray control instruction generation submodule is used to generate spray control instructions according to the target spray material, spray thickness, target spray distance and target nozzle to control the target nozzle to spray the current spray area.

[0116] The intelligent spraying system of the present invention can implement any one of the intelligent spraying control methods for power transmission and transformation projects, and the specific working process of the intelligent spraying system of the present invention can refer to the corresponding process in the above-mentioned intelligent spraying control method for power transmission and transformation projects.

[0117] The embodiment of the present application also discloses a computer device.

[0118] refer to Figure 3 A computer device includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, any one of the above-mentioned intelligent spraying control methods for power transmission and transformation projects is implemented.

[0119] The embodiment of the present application also discloses a computer-readable storage medium.

[0120] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the above-mentioned intelligent spraying control methods for power transmission and transformation projects.

[0121] Among them, computer-readable storage media can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus or device; the program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0122] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. An intelligent spraying control method for power transmission and transformation engineering, characterized in that: For an intelligent spraying system, the spraying system includes an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module, the method is performed by the spraying control module, and the method includes: Acquire the current position of the aircraft, and determine the current spraying area of ​​the aircraft according to the current position; Acquiring environmental data of the current spraying area, and determining a target spraying material and a spraying thickness of the current spraying area according to the environmental data; Determining a target nozzle according to the target spraying material, and determining a target spraying distance according to the target nozzle; A spraying control instruction is generated according to the target spraying material, the spraying thickness, the target spraying distance and the target spraying head to control the target spraying head to spray the current spraying area.

2. According to claim 1, a method for controlling intelligent spraying of power transmission and transformation projects is characterized in that: The step of determining the current spraying area of ​​the aircraft according to the current position includes: Acquire a three-dimensional model of a target spraying object, and determine at least one target spraying area of ​​the target spraying object according to the three-dimensional model; A current spraying area of ​​the aircraft is determined according to the at least one target spraying area and the current position.

3. According to claim 2, a method for controlling intelligent spraying of power transmission and transformation projects is characterized in that: The environmental data includes temperature data, humidity data and wind speed data. The step of determining the target spraying material and spraying thickness of the current spraying area according to the environmental data includes: Determine characteristic data of the current spraying area according to the three-dimensional model; Inputting the characteristic data, the temperature data, the humidity data and the wind speed data into a pre-generated spray material model to obtain first material characteristic data; Determine the optimal spraying material from a first preset table according to the first material property data, and use the optimal spraying material as the target spraying material; the first preset table includes material property data and spraying material data, and the first preset table is used to indicate the corresponding relationship between the material property data and the spraying material data; Second material characteristic data of the target spraying material is acquired, and the spraying thickness of the target spraying material is determined according to the second material characteristic data and the environmental data.

4. The intelligent spraying control method for power transmission and transformation engineering according to claim 3 is characterized in that: The step of generating the pre-generated spraying material model comprises: Acquire model training data, the model training data including historical feature data, historical temperature data, historical humidity data and historical wind speed data, and divide the model training data according to a preset ratio to form a training data set, a verification data set and a test data set; Training a pre-established spraying material model according to the training data set to obtain a trained spraying material model; Optimizing the trained spray material model according to the verification data set to obtain an optimized spray material model; The optimized spray material model is tested according to the test data set to obtain a pre-generated spray material model.

5. The intelligent spraying control method for power transmission and transformation engineering according to claim 3 is characterized in that: The first material property data includes viscosity, wear resistance and weather resistance, and the step of determining the optimal spraying material from a first preset table according to the first material property data includes: Standardizing the first material characteristic data to obtain corresponding standardized data; the standardized data includes standard viscosity, standard wear resistance and standard weather resistance; Obtaining target characteristic data of each spray material from a first preset table, the target characteristic data including viscosity, wear resistance and weather resistance, and calculating the difference of each spray material according to the standardized data and the target characteristic data; The spraying material corresponding to the minimum value of the difference is used as the target spraying material.

6. The intelligent spraying control method for power transmission and transformation engineering according to claim 3 is characterized in that: The step of determining the spraying thickness of the target spraying material according to the second material characteristic data and the environmental data comprises: Determine the viscosity η and density ρ of the target spraying material according to the second material characteristic data; Determine the current temperature T, the current humidity H and the current wind speed V according to the environmental data wind ; The spraying thickness H is calculated according to a preset spraying thickness formula; the preset spraying thickness formula is: Where k is the empirical coefficient, T0 represents the standard temperature, H0 represents the standard temperature, f(V wind ) is the wind speed influence function.

7. The intelligent spraying control method for power transmission and transformation engineering according to claim 1 is characterized in that: The step of determining a target nozzle according to the target spraying material, and determining a target spraying distance according to the target nozzle comprises: Matching the target spraying material in a second preset table to obtain a corresponding target nozzle; the second preset table includes spraying material data and nozzle data, and the second preset table is used to indicate the corresponding relationship between the spraying material data and the nozzle data; Acquiring nozzle parameters of the target nozzle, and determining an optimal spraying distance of the target nozzle according to the nozzle parameters; The target spraying distance is determined according to the optimal spraying distance.

8. An intelligent spraying system, characterized in that: It includes an aircraft module, an electrostatic spraying module, a spraying control module, a feeding module and a flight control module, wherein the spraying control module includes: A current spraying area determination submodule, used to obtain the current position of the aircraft and determine the current spraying area of ​​the aircraft according to the current position; A spraying thickness determination submodule, used to obtain environmental data of the current spraying area, and determine the target spraying material and spraying thickness of the current spraying area according to the environmental data; A target spraying distance determination submodule, used to determine a target spraying head according to the target spraying material, and to determine a target spraying distance according to the target spraying head; The spray control instruction generation submodule is used to generate a spray control instruction according to the target spray material, the spray thickness, the target spray distance and the target spray head, so as to control the target spray head to spray the current spray area.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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