Artificial fog chamber with adjustable size

Abstract

The invention relates to the technical field of insulator tests, provides a size-adjustable artificial fog chamber, and aims to solve the problem of resource waste caused by the fact that the volume of the fog chamber is not easy to adjust during a current pollution flashover test. The volume of the whole fog chamber can be rapidly achieved by changing the relative position of the fixed box body unit and the movable box body unit, the volume of the fog chamber can be flexibly adjusted according to the size of a test object, and resources are saved. When the temperature, the pressure and the fog concentration in the closed box body unit deviate from a set value, the deviation can be detected in time by a self-adaptive control algorithm; and meanwhile, the temperature, the pressure and the fog concentration in the closed box body are always maintained at a stable value by adjusting the output of the self-adjusting circulating blade, the electric sprayer and the radiant panel, so that the temperature and the pressure in the closed chamber are controllable, and the surface of the insulator can be uniformly wetted.

Description

Technical Field

[0001] The invention relates to the technical field of insulator testing, in particular to an artificial fog chamber with adjustable size. Background Art

[0002] In the power system, insulators are important electrical equipment components. Their function is to isolate the conductor from the ground or other electrical components to ensure the safe operation of the power system. However, insulators are exposed to the atmospheric environment for a long time and are easily affected by various pollutants, especially in industrial areas, coastal areas and other areas with serious pollution. Dust, salt and chemicals will accumulate on the surface of insulators. When the air humidity increases, these pollutants will absorb moisture to form a conductive dirty layer, which will reduce the insulation performance of the insulator and may cause pollution flashover accidents. Pollution flashover (referred to as pollution flashover) is a phenomenon in which the dirty layer on the surface of the insulator increases the surface leakage current and eventually causes discharge on the surface of the insulator under wet or humid conditions. It is one of the common problems that threaten the safe operation of the power system.

[0003] In order to effectively prevent and respond to pollution flashover accidents, researchers usually conduct pollution flashover characteristics research on insulators by simulating the pollution flashover environment in the laboratory. The traditional experimental method is to build a fixed closed fog chamber, and researchers moisten the insulator samples by manual spraying in a closed environment to simulate the pollution of insulators under humid conditions in the actual environment to provide a reference for the insulation performance of power transmission and transformation equipment. In this process, technicians are required to conduct experiments simulating pollution flashover of the samples to master their pollution flashover characteristics. When simulating pollution flashover experiments indoors, fixed closed chambers are often built, and researchers moisten the samples by manual spraying in the closed room.

[0004] However, since the size of the test pieces cannot be unified, building a fixed closed chamber will cause a waste of resources. In addition, there is no commutation system inside the closed mist chamber to connect with the outside world, and it is impossible to set the temperature and pressure inside the closed chamber. It is also difficult to evenly wet the surface of the insulator with artificial spray, and the degree of wetness is difficult to control. The sprayed water mist cannot be measured, and it is impossible to spray water mist that meets the test standards.

[0005] Therefore, there is an urgent need for an artificial fog chamber with adjustable size to save resources and improve the uniformity of insulator wetting. Summary of the invention

[0006] The purpose of the present invention is to solve the deficiencies of the prior art and provide an artificial fog chamber with adjustable size, so as to enhance the pollution covering efficiency and improve the pollution covering uniformity.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] An artificial fog chamber with adjustable size, comprising: a closed box unit, a fog generating unit, a constant temperature and pressure unit, a monitoring unit, a storage unit, and a control system;

[0009] The closed box unit includes a fixed box unit and a mobile box unit, the fixed box unit and the mobile box unit are connected by a corrugated pipe, and the interior of the closed box unit as a whole forms a closed cavity; a door is provided on the outside of the fixed box unit, and a wall sleeve is provided on the outside of the fixed box unit;

[0010] The mist generating unit comprises a water inlet flow control pump, an air inlet flow control pump, and an electric sprayer, wherein the electric sprayer is connected to the water inlet flow control pump and the air inlet flow control pump through a pipeline, and the water inlet flow control pump, the air inlet flow control pump, and the electric sprayer are electrically connected to a control system through a connecting line;

[0011] The constant temperature and constant pressure unit includes a circulation blade and a radiation plate. By adjusting the rotation speed of the circulation blade and the temperature of the radiation plate, the closed cavity inside the closed box unit reaches a predetermined temperature value and pressure value; the circulation blade is arranged on the outer wall of the fixed box unit, and the radiation plate is arranged on the top plate of the fixed box unit;

[0012] The monitoring unit fog includes a concentration detection module, a temperature detection module and an air pressure detection module arranged on the inner side wall of the fixed box unit, and the concentration detection module, the temperature detection module and the air pressure detection module are electrically connected to the control system through a signal line;

[0013] The control system is installed outside the fixed box unit. The control system has a built-in PID adaptive control algorithm. When the temperature, pressure, and fog concentration in the closed box unit deviate from the set value, the adaptive control algorithm can detect it in time; the circulating blades, electric sprayers, and radiation panels are adjusted autonomously to maintain the temperature, pressure, and fog concentration in the closed box at a stable value. The control system is provided with a control panel;

[0014] The storage unit comprises a storage table and a grounding lead. The storage table is placed at the bottom of the inner cavity of the closed box unit. One end of the grounding lead is left on the storage table and the other end passes through the closed box unit to be grounded.

[0015] Preferably, the electric sprayer is provided with two symmetrically suspended on the inner walls of the two side walls inside the fixed box unit.

[0016] Preferably, the electric spray nozzle is arranged on a rotating head, and the rotating head can control the electric spray nozzle to rotate 180° in the horizontal direction and 360° in the vertical direction.

[0017] Preferably, a slide rail is provided on the top of the fixed box unit, and a hook that can slide along the slide rail is provided inside the slide rail.

[0018] Preferably, a support block is provided at the bottom of the fixed box unit, and a plurality of moving wheels are provided at the bottom of the movable box unit.

[0019] Preferably, the corrugated pipe is a double-walled corrugated pipe.

[0020] Preferably, the PID adaptive control algorithm is obtained by the following steps:

[0021] S1, collect real-time data inside the box through the concentration detection module, temperature detection module and air pressure detection module, and input these data into the PID control algorithm module;

[0022] S2, use the position PID control algorithm to adjust the temperature, pressure and fog concentration, and its mathematical model is:

[0023]

[0024] Where, t is the current operation time of the PID controller, T is the maximum operation time of the controller, i takes values ​​of 1, 2, and 3. When i=1, it means that temperature control is performed at this time, when i=2, it means that pressure control is performed at this time, and when i=3, it means that fog concentration control is performed at this time;

[0025] Current difference e i (t) The mathematical model is; e i (t) = I i (t)-q i ; Where I1(t) is the real-time temperature data, I2(t) is the real-time pressure data, I3(t) is the real-time fog concentration data, q1 is the temperature target value, q2 is the pressure target value, and q3 is the fog concentration target value; K p is the scale parameter, K i is the integration parameter, K d is the differential parameter;

[0026] S3, setting the target temperature value, pressure value and fog concentration value in the PID control algorithm module, and calculating the current difference e(t) between the real-time temperature, pressure, fog concentration data value and the target value;

[0027] S4, optimizing the PID control algorithm using a crown porcupine optimization algorithm; the crown porcupine optimization algorithm uses an iterative cycle reduction strategy to find the optimal strategy method;

[0028] S5. Use the crown porcupine algorithm to optimize the PID control algorithm and optimize the proportional parameter K of the PID control algorithm. p , integration parameter K i and the differential parameter K d ;

[0029] S6, the optimized PID control algorithm converts the current difference e i (t) is used as the input of the control algorithm to output the output values ​​u of the control temperature, air pressure and fog concentration respectively. i (t); the corresponding i value is 1, 2, 3, i = 1 represents the temperature control at this time, i = 2 represents the pressure control at this time, i = 3 represents the fog concentration control at this time;

[0030] S7. Repeat steps S1 to S6 until e(t)=0.

[0031] Preferably, the iterative cycle reduction strategy is:

[0032] S4.1. Taking the optimal crested porcupine position of the current iteration as the center, calculate the average value of the crested porcupine position objective function of N iterations The objective function value with the optimal crested porcupine position The difference The mathematical model is established according to the following formula:

[0033]

[0034] S4.2. When When the error is smaller than the set error, that is, the secondary iteration error is smaller than the artificially specified error, it is the optimal solution. Preferably, the proportional parameter K of the optimized PID control algorithm is p , integration parameter K i and the differential parameter K d, The specific steps are:

[0035] S5.1. Initialize the parameters of the crown porcupine optimization algorithm, including the current number of iterations g, the maximum number of iterations G, the initial position of each individual in the population, and the K of the PID algorithm. p , K i , K d The parameters are set to a spatial solution set;

[0036] S5.2, the K p , K i , K d The parameters are encoded as the individual positions of crested porcupines, each of which represents a set of K p , K i , K d Candidate solutions;

[0037] S5.3, using the objective function J to represent the fitness of the crested porcupine individual in the current iteration;

[0038] S5.4, subtract the minimum fitness value of the current iteration from the minimum fitness value of the previous iteration to obtain the minimum fitness value of the two, and retain the minimum fitness value as the latest crested porcupine position;

[0039] S5.5, the current iteration number executes g = g + 1, if g = G, then exit the optimization process and select the crown porcupine position with the minimum fitness as K p , K i , K d Parameter solution.

[0040] The invention discloses an artificial fog chamber with adjustable size, which has the following beneficial effects.

[0041] The adjustable size artificial fog chamber of the present invention adopts a bellows to connect the fixed box unit and the mobile box unit, so that the overall fog chamber volume can be quickly realized by changing the relative positions of the fixed box unit and the mobile box unit, and the fog chamber volume can be flexibly adjusted according to the size of the test sample to save resources. In addition, the present invention has a built-in PID adaptive control algorithm in the control system. When the temperature, pressure, and fog concentration in the closed box unit deviate from the set value, the adaptive control algorithm can detect it in time; at the same time, by adjusting the self-regulating circulation blades, the electric sprayer, and the output of the radiation plate, the temperature, pressure, and fog concentration in the closed box are always maintained at a stable value, thereby ensuring that the temperature and pressure in the closed room are controllable, and the surface of the insulator can be evenly moistened. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a front view structural schematic diagram of the artificial fog chamber with adjustable size of the present invention.

[0043] Figure 2 The figure is a side structural schematic diagram of the size-adjustable artificial fog chamber of the present invention.

[0044] Figure 3 for Figure 1 Schematic diagram of the cutaway view of section AA.

[0045] Figure 4 It is a schematic diagram of the slide rail hook of the present invention.

[0046] In the attached drawings: 1. Closed box unit; 11. Fixed box unit; 12. Mobile box unit; 13. Bellows; 14. Door; 15. Wall bushing; 16. Grounding bushing; 17. Moving wheel; 18. Support block; 19. Hook; 2. Mist generating unit; 21. Electric sprayer; 22. Pipe; 23. Rotating head; 3. Constant temperature and pressure unit; 31. Circulating blades; 32. Radiation plate; 4. Monitoring unit; 41. Concentration detection module; 42. Temperature detection module; 43. Air pressure detection module; 5. Storage unit; 6. Control system. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0048] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0049] Example 1

[0050] Please refer to Figure 1 , an artificial fog chamber with adjustable size, comprising:

[0051] Closed box unit 1, fog generating unit 2, constant temperature and pressure unit 3, monitoring unit 4, storage unit 5, control system 6;

[0052] The closed box unit 1 includes a fixed box unit 11 and a mobile box unit 12. The fixed box unit 11 and the mobile box unit 12 are connected by a bellows 13. The interior of the closed box unit 1 forms a closed cavity as a whole. The closed box unit 1 is a steel component as a whole. The bellows 13 is connected to the fixed box unit 11 and the mobile box unit 12 by a flange. A leak-proof gasket is provided at the connection position. The bellows 13 adopts a double-walled bellows 13 and is made of flexible material. A door 14 is provided on the outside of the fixed box unit 11. A wall bushing 15 is provided on the outside of the fixed box unit 11. One end of the test piece is connected to the high-voltage power supply through the shell bushing, and the other end is connected to the ground. The high-voltage power supply is an adjustable transformer selected according to the requirements of the test sample, and the voltage value can be flexibly set. Before using the artificial fog chamber, the volume of the test sample is first measured, and the size of the closed box is adjusted according to the volume of the test sample, that is, the mobile box unit 12 is pulled to control the expansion and contraction of the bellows 13, thereby controlling the volume of the closed cavity of the closed box unit 1. After the adjustment is completed, a pad of corresponding size is placed between the fixed box unit 11 and the mobile box unit 12, specifically above the bellows 13 at the bottom of the cavity of the fixed box unit 11 and the mobile box unit 12. After placing the pad, the test sample can be placed in the closed box for spraying.

[0053] In this embodiment, as a preferred embodiment, Figure 2 and Figure 3As shown, in order to facilitate the adjustment of the size of the internal cavity of the closed box unit 1 and prevent the friction between the bellows 13 and the ground from affecting the air tightness of the bellows 13, a support block 18 is provided at the bottom of the fixed box unit 11, and four symmetrically arranged moving wheels 17 are provided at the bottom of the moving box unit 12. The moving wheels 17 are equipped with locking components, which can be locked after the size of the internal cavity of the closed box unit 1 is adjusted to prevent the moving box unit 12 from sliding and affecting the stability of the device.

[0054] The mist generating unit 2 includes a water inlet flow control pump (PUN-601), an air inlet flow control pump (XLRB-D07-19B), and an electric sprayer 21. The electric sprayer 21 is connected to the water inlet flow control pump and the air inlet flow control pump through a pipe 22. The water inlet flow control pump, the air inlet flow control pump, and the electric sprayer 21 are electrically connected to the control system 6 through a connecting line and a signal line; the water inlet flow control pump and the air inlet flow control pump are uniformly installed below the control system 6 on the outside of the closed box unit 1, and the corresponding water inlet flow control pump and the air inlet flow control pump are provided with a water inlet pipe and an air inlet pipe.

[0055] The constant temperature and constant pressure unit 3 includes a circulation blade 31 (FS408AR) and a radiation plate 32 (LBB4511 / 00Integrus). By adjusting the rotation speed of the circulation blade 31 and the temperature of the radiation plate 32, the internal temperature and pressure values ​​are set to a predetermined value. Figure 3 As shown, the circulation blades 31 are arranged on the outer wall of the fixed box unit 11, and the radiation plate 32 is arranged on the top plate of the fixed box unit 11;

[0056] The monitoring unit 4 includes a concentration detection module 41 (ZHYD / HMM10013A1CL), a temperature detection module 42 (NR-TH08) and an air pressure detection module 43 (MPL3115A2) arranged on the inner side wall of the fixed box unit 11. The concentration detection module 41, the temperature detection module 42 and the air pressure detection module 43 are electrically connected to the control system 6 through a signal line;

[0057] The storage unit 5 includes a storage table and a grounding lead. The storage table is placed at the bottom of the internal cavity of the closed box unit 1. One end of the grounding lead is left on the storage table and the other end passes through the closed box unit 1 for grounding. The grounding sleeve 16 passes through the closed box unit 1 to accommodate the grounding lead.

[0058] The control system 6 is installed on the outside of the fixed box unit 11. The control system 6 (CP9035) has a built-in PID adaptive control algorithm. The preset air pressure and temperature are set first. When the temperature, pressure, and fog concentration in the closed box unit 1 deviate from the set value, the adaptive control algorithm can detect it in time; the circulating blades 31, the electric sprayer 21, and the radiation plate 32 are adjusted autonomously to maintain the temperature, pressure, and fog concentration in the closed box at a stable value. The control system 6 is provided with a control panel; after the sample is transported to the specified location and the temperature and air pressure reach a stable value, the fog concentration in the fog chamber is set. According to the water mist standard required for the experiment, the water volume and air volume are set on the control panel of the control system 6, and the water and air intake commands are input. The control system 6 has built-in quantitative input of water and fog volume. When the input water and fog volume reach the manually set values, the water inlet and air inlet are automatically closed.

[0059] At this time, the solution and gas are fully transported to the inside of the pipeline 22, and then transported to the nozzle of the electric sprayer 21 through the pipeline 22. Through manual observation, the spray angle of the electric sprayer 21 is adjusted on the control panel of the control system 6 to aim at the test sample. The expected spray volume is set on the control system 6, and the spray command is input. The fog concentration monitoring module is connected to the control system 6, and the water mist condition inside the closed box can be monitored in real time. The indication is displayed by the control panel of the control system 6. When the detection data has reached the set concentration standard, the control system 6 controls to stop spraying. In addition, the built-in adaptive control algorithm of the control system 6 can compare the error between the current fog concentration and the set value in real time. When the fog concentration decreases with the increase of the running time, the error increases. At this time, the adaptive control algorithm can automatically open the spray button to adjust the fog concentration in the closed box. When the internal volume, temperature, air pressure, and fog concentration of the closed unit reach the preset value and stabilize, the transformer output voltage can be adjusted to the required experimental voltage value. The high-voltage lead of the transformer is connected to the test sample through the shell casing to pressurize the test sample. During the pressurization process, the state of the test sample is observed at any time, the required experimental data is recorded, and the experiment is completed.

[0060] like Figure 3 As shown, the electric sprayer 21 is provided with two symmetrically suspended on the inner walls of the two side walls inside the fixed box unit 11. The spray head of the electric sprayer 21 is arranged on the rotating head 23, and the rotating head 23 can control the spray head of the electric sprayer 21 to rotate 180° in the horizontal direction and 360° in the vertical direction. The rotating head 23 is connected to the control system 6 through a signal line.

[0061] like Figure 4 As shown, a slide rail is provided on the top of the fixed box unit 11, and a hook 19 is provided inside the slide rail that can slide along the slide rail, which can facilitate the transportation of the sample. The sample is hoisted and hung on the hook 19, and transported to the top of the storage table through the roller slide rail. After reaching the predetermined position, the sample is unloaded and placed on the storage table.

[0062] Example 2

[0063] Based on Example 1, in this embodiment, a PID adaptive control algorithm is provided;

[0064] The PID adaptive control algorithm is derived through the following steps:

[0065] S1, collect real-time data inside the box through the concentration detection module 41, the temperature detection module 42 and the air pressure detection module 43, and input these data into the PID control algorithm module;

[0066] S2, use the position PID control algorithm to adjust the temperature, pressure and fog concentration, and its mathematical model is:

[0067]

[0068] Where t is the current time of the PID controller, T is the maximum time of the controller, i is 1, 2, 3, i = 1 means temperature control, i = 2 means pressure control, i = 3 means fog concentration control; the current difference e i (t) The mathematical model is: current difference e i (t) The mathematical model is; e i (t) = I i (t)-q i ; I1(t) is the real-time temperature data, I2(t) is the real-time pressure data, I3(t) is the real-time fog concentration data, q1 is the temperature target value, q2 is the pressure target value, and q3 is the fog concentration target value; K p is the scale parameter, K i is the integration parameter, K d is the differential parameter;

[0069] S3, setting the target temperature value, pressure value and fog concentration value in the PID control algorithm module, and calculating the current difference e(t) between the real-time temperature, pressure, fog concentration data value and the target value;

[0070] S4, using the crown porcupine optimization algorithm to optimize the PID control algorithm; the crown porcupine optimization algorithm uses an iterative cycle reduction strategy to find the optimal strategy method;

[0071] The iterative loop reduction strategy is:

[0072] S4.1. Taking the optimal crested porcupine position of the current iteration as the center, calculate the average value of the crested porcupine position objective function of N iterations The objective function value with the optimal crested porcupine position The difference The mathematical model is established according to the following formula:

[0073]

[0074] S4.2. When When it is smaller than the set error, that is, the secondary iteration error is smaller than the artificially specified error, it is the optimal solution.

[0075] S5. Use the crown porcupine algorithm to optimize the PID control algorithm and optimize the proportional parameter K of the PID control algorithm. p , integration parameter K i and the differential parameter K d ; Optimize the proportional parameter Kp, integral parameter Ki and differential parameter Kd of the PID control algorithm. The specific steps are:

[0076] S5.1, initialize the parameters of the crown porcupine optimization algorithm, including the current iteration number g, the maximum iteration number G, the initial position of each individual in the population, and set the Kp, Ki, and Kd parameters of the PID algorithm to a spatial solution set;

[0077] S5.2, encoding Kp, Ki, and Kd parameters as individual positions of crested porcupines, each position representing a set of candidate solutions for Kp, Ki, and Kd;

[0078] S5.3, using the objective function J to represent the fitness of the crested porcupine individual in the current iteration;

[0079] S5.4, subtract the minimum fitness value of the current iteration from the minimum fitness value of the previous iteration to obtain the minimum fitness value of the two, and retain the minimum fitness value as the latest crested porcupine position;

[0080] S5.5. The current iteration number is executed g=g+1. If g=G, the optimization process is exited and the crested porcupine position with the minimum fitness is selected as the solution for Kp, Ki, and Kd parameters.

[0081] S6. The optimized PID control algorithm uses the current difference ei(t) as the input of the control algorithm, and outputs the output values ​​ui(t) of the control temperature, air pressure, and fog concentration respectively; the corresponding i values ​​are 1, 2, and 3, i=1 represents temperature control at this time, i=2 represents pressure control at this time, and i=3 represents fog concentration control at this time;

[0082] S7. Repeat steps S1 to S6 until e(t)=0.

[0083] The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The substitution may be a substitution of a part of the structure, device, method step, or a complete technical solution. The equivalent replacement or change according to the technical solution and the inventive concept of the present invention shall be covered within the protection scope of the present invention.

Claims

1. An artificial fog chamber with adjustable size, characterized in that: include: Closed box unit, fog generating unit, constant temperature and pressure unit, monitoring unit, storage unit, control system; The closed box unit includes a fixed box unit and a mobile box unit, the fixed box unit and the mobile box unit are connected by a corrugated pipe, and the interior of the closed box unit as a whole forms a closed cavity; a door is provided on the outside of the fixed box unit, and a wall sleeve is provided on the outside of the fixed box unit; The mist generating unit comprises a water inlet flow control pump, an air inlet flow control pump, and an electric sprayer, wherein the electric sprayer is connected to the water inlet flow control pump and the air inlet flow control pump through a pipeline, and the water inlet flow control pump, the air inlet flow control pump, and the electric sprayer are electrically connected to a control system through a connecting line; The constant temperature and constant pressure unit includes a circulation blade and a radiation plate. By adjusting the rotation speed of the circulation blade and the temperature of the radiation plate, the closed cavity inside the closed box unit reaches a predetermined temperature value and pressure value; the circulation blade is arranged on the outer wall of the fixed box unit, and the radiation plate is arranged on the top plate of the fixed box unit; The monitoring unit fog includes a concentration detection module, a temperature detection module and an air pressure detection module arranged on the inner side wall of the fixed box unit, and the concentration detection module, the temperature detection module and the air pressure detection module are electrically connected to the control system through a signal line; The control system is installed outside the fixed box unit. The control system has a built-in PID adaptive control algorithm. When the temperature, pressure, and fog concentration in the closed box unit deviate from the set value, the adaptive control algorithm can detect it in time; the circulating blades, electric sprayers, and radiation panels are adjusted autonomously to maintain the temperature, pressure, and fog concentration in the closed box at a stable value. The control system is provided with a control panel; The storage unit comprises a storage table and a grounding lead. The storage table is placed at the bottom of the inner cavity of the closed box unit. One end of the grounding lead is left on the storage table and the other end passes through the closed box unit to be grounded.

2. The size-adjustable artificial fog chamber according to claim 1, characterized in that: The electric sprayer is provided with two symmetrically suspended on the inner walls of the two side walls inside the fixed box unit.

3. The size-adjustable artificial fog chamber according to claim 2, characterized in that: The electric spray nozzle is arranged on a rotating head, and the rotating head can control the electric spray nozzle to rotate 180 degrees in the horizontal direction and 360 degrees in the vertical direction.

4. The size-adjustable artificial fog chamber according to claim 1, characterized in that: A slide rail is arranged on the top of the fixed box unit, and a hook which can slide along the slide rail is arranged inside the slide rail.

5. The size-adjustable artificial fog chamber according to claim 1, characterized in that: A support block is provided at the bottom of the fixed box unit, and a plurality of moving wheels are provided at the bottom of the moving box unit.

6. The size-adjustable artificial fog chamber according to claim 1, characterized in that: The corrugated pipe is a double-walled corrugated pipe.

7. The size-adjustable artificial fog chamber according to claim 1, characterized in that: The PID adaptive control algorithm is derived by the following steps: S1, collect real-time data inside the box through the concentration detection module, temperature detection module and air pressure detection module, and input these data into the PID control algorithm module; S2, use the position PID control algorithm to adjust the temperature, pressure and fog concentration, and its mathematical model is: Where, t is the current operation time of the PID controller, T is the maximum operation time of the controller, i takes values ​​of 1, 2, and 3. When i=1, it means that temperature control is performed at this time, when i=2, it means that pressure control is performed at this time, and when i=3, it means that fog concentration control is performed at this time; Current difference e i (t) The mathematical model is; e i (t) = I i (t)-q i ; Where I1(t) is the real-time temperature data, I2(t) is the real-time pressure data, I3(t) is the real-time fog concentration data, q1 is the temperature target value, q2 is the pressure target value, and q3 is the fog concentration target value; K p is the scale parameter, K i is the integration parameter, K d is the differential parameter; S3, setting the target temperature value, pressure value and fog concentration value in the PID control algorithm module, and calculating the current difference e(t) between the real-time temperature, pressure, fog concentration data value and the target value; S4, optimizing the PID control algorithm using a crown porcupine optimization algorithm; the crown porcupine optimization algorithm uses an iterative cycle reduction strategy to find the optimal strategy method; S5. Use the crown porcupine algorithm to optimize the PID control algorithm and optimize the proportional parameter K of the PID control algorithm. p , integration parameter K i and the differential parameter K d ; S6, the optimized PID control algorithm converts the current difference e i (t) is used as the input of the control algorithm to output the output values ​​u of the control temperature, air pressure and fog concentration respectively. i (t); the corresponding i value is 1, 2, 3, i = 1 represents the temperature control at this time, i = 2 represents the pressure control at this time, i = 3 represents the fog concentration control at this time; S7. Repeat steps S1 to S6 until e(t)=0.

8. The size-adjustable artificial fog chamber according to claim 7, characterized in that: The iterative cycle reduction strategy is: S4.

1. Taking the optimal crested porcupine position of the current iteration as the center, calculate the average value of the crested porcupine position objective function of N iterations The objective function value with the optimal crested porcupine position The difference The mathematical model is established according to the following formula: S4.

2. When When it is smaller than the set error, that is, the secondary iteration error is smaller than the artificially specified error, it is the optimal solution.

9. The size-adjustable artificial fog chamber according to claim 7, characterized in that: The proportional parameter K of the optimized PID control algorithm p , integration parameter K i and the differential parameter K d, The specific steps are: S5.

1. Initialize the parameters of the crown porcupine optimization algorithm, including the current number of iterations g, the maximum number of iterations G, the initial position of each individual in the population, and the K of the PID algorithm. p , K i , K d The parameters are set to a spatial solution set; S5.2, the K p , K i , K d The parameters are encoded as the individual positions of crested porcupines, each of which represents a set of K p , K i , K d Candidate solutions; S5.3, using the objective function J to represent the fitness of the crested porcupine individual in the current iteration; S5.4, subtract the minimum fitness value of the current iteration from the minimum fitness value of the previous iteration to obtain the minimum fitness value of the two, and retain the minimum fitness value as the latest crested porcupine position; S5.5, the current iteration number executes g = g + 1, if g = G, then exit the optimization process and select the crown porcupine position with the minimum fitness as K p , K i , K d Parameter solution.

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