A temperature and humidity control method and system for film drop chamber

Abstract

The present invention discloses a temperature and humidity control method and system for a film drop bin, and belongs to the field of chromosome film drop technology. A temperature and humidity control method for a film drop bin of the present invention processes the adjustment parameters of the temperature and humidity adjustment device by constructing a device adjustment simulation model, an adjustment strategy generation model, a bin temperature acquisition model, and a bin temperature control model to obtain temperature and humidity adjustment capability data; then the temperature and humidity adjustment capability data is processed to obtain the temperature and humidity mapping relationship of the film drop bin, and an adjustment strategy of the temperature and humidity adjustment device is generated; and then the temperature and humidity mapping relationship of the film drop bin can be obtained, and an adjustment strategy of the temperature and humidity adjustment device is generated, thereby realizing precise temperature and humidity control of the film drop bin, so that a space of the size of the film drop bin can be in a target temperature and humidity state, and constant temperature and humidity control can be realized, ensuring that the film drop bin has a good temperature and humidity, thereby ensuring the smooth progress of the film drop work.

Description

Technical Field

[0001] The invention relates to a temperature and humidity control method and system for a film drop chamber, belonging to the technical field of chromosome film drop technology. Background Art

[0002] Currently, in the process of chromosome slide preparation, temperature and humidity control of the drop chamber is crucial.

[0003] A Chinese patent application (publication number: CN115855599A) discloses a constant temperature and humidity chromosome drop film system, including a drop film chamber, a movable window assembly and a constant temperature and humidity assembly, an operating table is placed in the drop film chamber, the movable window assembly is located on the drop film chamber and is used to open and close the drop film chamber, and a drop film hole with a drop film glove is opened on the movable window assembly, the constant temperature and humidity assembly includes a heating rod, a humidifying water pool and a blower for blowing air into the humidifying water pool, which are located in the drop film chamber. The above scheme closes the drop film chamber by arranging a movable window assembly with a drop film hole and a drop film glove, so as to avoid the problem that the drop film chamber is affected by the external environment and destroys its own constant temperature and humidity state, and adjusts the temperature and humidity in the drop film chamber by coordinating the heating rod, the humidifying water pool and the blower.

[0004] However, the above scheme does not provide a specific temperature and humidity control scheme for the drip film bin, and since the drip film bin is only a few dozen centimeters in size, the conventional temperature and humidity control method is based on only one or several temperature measuring points, and can only mechanically open and close the heating / heat dissipation device. For a space of the size of a drip film bin, it is difficult to achieve good uniformity, and it is impossible to accurately control the temperature and humidity of the drip film bin. Therefore, the existing technology cannot ensure that the drip film bin is in the target temperature and humidity state, and cannot accurately achieve constant temperature and humidity control, and thus cannot ensure the smooth progress of the drip film work.

[0005] The information disclosed in this Background Art is only for understanding the background of the inventive concept and therefore it may include information that does not constitute the prior art. Summary of the invention

[0006] In response to the above problem or one of the above problems, an object of the present invention is to provide a temperature and humidity control method for a drip film bin. By constructing a device adjustment simulation model, an adjustment strategy generation model, a bin temperature acquisition model and a bin temperature control model, the temperature and humidity mapping relationship of the drip film bin is obtained, and an adjustment strategy for the temperature and humidity adjustment device is generated. At the same time, based on the temperature and humidity data of multiple points in the drip film bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip film bin. Therefore, a space of the size of a drip film bin can be kept in a target temperature and humidity state, and constant temperature and humidity control can be achieved, thereby ensuring that the drip film bin has a good temperature and humidity, thereby ensuring the smooth progress of the drip film work.

[0007] In response to the above problem or one of the above problems, the second object of the present invention is to provide a temperature and humidity control method for a film drop bin, couple the temperature and humidity adjustment capability data and the temperature and humidity fitting data, and obtain the switching action parameters of the temperature and humidity adjustment device, that is, the corresponding adjustment strategy of the temperature and humidity adjustment device, so as to realize precise temperature and humidity control of the film drop bin, and realize constant temperature and humidity control, ensuring that the film drop bin has good temperature and humidity.

[0008] In response to the above problem or one of the above problems, the third object of the present invention is to provide a temperature and humidity control system for a drip film bin. By setting a device adjustment simulation module, an adjustment strategy generation module, a bin temperature acquisition module and a bin temperature control module, the temperature and humidity mapping relationship of the drip film bin is obtained, and an adjustment strategy for the temperature and humidity adjustment device is generated. At the same time, based on the temperature and humidity data of multiple points in the drip film bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip film bin. Therefore, a space of the size of a drip film bin can be kept in a target temperature and humidity state, and constant temperature and humidity control can be achieved to ensure that the drip film bin has better temperature and humidity.

[0009] To achieve one of the above purposes, the first technical solution of the present invention is:

[0010] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0011] Using a pre-built device adjustment simulation model, the adjustment parameters of the temperature and humidity adjustment device are processed to obtain the temperature and humidity adjustment capacity data;

[0012] Using the pre-built adjustment strategy generation model, based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, the temperature and humidity adjustment capability data is processed to obtain the temperature and humidity mapping relationship of the film drop bin, and the adjustment strategy of the temperature and humidity adjustment device is generated;

[0013] Through the pre-built warehouse temperature collection model, the temperature and humidity data and target temperature and humidity of multiple points in the film drop warehouse are obtained;

[0014] Based on the pre-built warehouse temperature control model, the temperature and humidity data of multiple points in the film dropping warehouse and the target temperature and humidity are substituted into the temperature and humidity mapping formula to obtain the corresponding adjustment strategy of the temperature and humidity regulating device to complete the temperature and humidity control of the film dropping warehouse.

[0015] After continuous exploration and experiments, the present invention obtains the temperature and humidity mapping relationship of the drip bin by constructing a device adjustment simulation model, an adjustment strategy generation model, a bin temperature acquisition model and a bin temperature control model, and generates an adjustment strategy for the temperature and humidity adjustment device. At the same time, based on the temperature and humidity data of multiple points in the drip bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip bin. Therefore, a space of the size of the drip bin can be kept in the target temperature and humidity state, and constant temperature and humidity control can be achieved, thereby ensuring that the drip bin has a good temperature and humidity, thereby ensuring the smooth progress of the drip work.

[0016] As the preferred technical measures:

[0017] The method of using the pre-built device adjustment simulation model to process the adjustment parameters of the temperature and humidity adjustment device to obtain the temperature and humidity adjustment capacity data is as follows:

[0018] The temperature and humidity regulating device includes a fan WXY, a humidifying device HIJK and a dehumidifier M;

[0019] The adjustment parameters include the type, quantity, location information, heating power, humidification power and wind power of the temperature and humidity adjustment device;

[0020] The type, quantity, location information, heating power, humidification power and wind power of the temperature and humidity regulating device are processed to obtain the temperature and humidity regulating capacity data.

[0021] As the preferred technical measures:

[0022] The method of using the pre-built adjustment strategy generation model to process the temperature and humidity adjustment capability data based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin to obtain the temperature and humidity mapping relationship of the film drop bin and generate the adjustment strategy of the temperature and humidity adjustment device is as follows:

[0023] A reinforcement learning model is constructed based on the structural data of the film drop bin, the historical temperature and humidity data of the film drop bin, and the state parameter information of the fan WXY, the humidifier HIJK, and the dehumidifier M;

[0024] Based on the reinforcement learning model, the historical temperature and humidity data of the film drop bin and the switch state of the temperature and humidity adjustment device are fitted to obtain the temperature and humidity mapping relationship of the film drop bin;

[0025] According to the temperature and humidity mapping relationship, an adjustment strategy for the temperature and humidity regulating device is generated.

[0026] As the preferred technical measures:

[0027] The method to build a reinforcement learning model is as follows:

[0028] Set the reward variable and reward function; the reward mechanism of the reward function is as follows:

[0029] When the temperature and humidity of the film drop bin are close to the target value, the reward variable increases; when the temperature and humidity of the film drop bin deviate from the target value, the reward variable decreases; that is, if the temperature and humidity are within the set range, the reward variable is positive; if the temperature and humidity deviate from the set range, the reward variable is negative;

[0030] Based on the reward function, as well as the historical temperature and humidity data of the film drop warehouse and the temperature and humidity adjustment capability data, a temperature and humidity mapping relationship between the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity is constructed;

[0031] According to the temperature and humidity mapping relationship L, the adjustment strategies of multiple temperature and humidity regulating devices are obtained; the adjustment strategies include adjusting the states of the fan WXYZ, the cooling fan S and the heating device T, so as to adjust the temperature;

[0032] The mapping coefficient of each adjustment strategy is calculated, and the adjustment strategy with the largest mapping coefficient is selected as the final adjustment strategy.

[0033] As the preferred technical measures:

[0034] The method of calculating the mapping coefficient of each adjustment strategy and selecting the adjustment strategy with the largest mapping coefficient as the final adjustment strategy is as follows:

[0035] Calculating a mapping coefficient of each adjustment strategy to obtain a plurality of mapping coefficient values, which at least include a mapping coefficient value one and a mapping coefficient value two;

[0036] According to the mapping coefficient value 1 and the mapping coefficient value 2, judging whether the adjustment strategy is effective;

[0037] When the mapping coefficient value 1 is greater than or equal to the mapping coefficient value 2, it means that the adjustment strategy corresponding to the mapping coefficient value 1 is effective, and a positive coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, this state adjustment is performed under the temperature and humidity of this state;

[0038] When the mapping coefficient value 1 is less than the mapping coefficient value 2, it means that the adjustment strategy corresponding to the mapping coefficient value 1 is invalid or even has a negative effect. Then a negative coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, under the temperature and humidity of this state, this adjustment strategy Q is invalid, and another adjustment strategy Q1 needs to be reselected;

[0039] After the judgment is completed, the final adjustment strategy is obtained.

[0040] As the preferred technical measures:

[0041] The method of obtaining the temperature and humidity data and target temperature and humidity of multiple points in the film drop warehouse through the pre-built warehouse temperature collection model is as follows:

[0042] Obtain the size data of the film drop bin and the height data of the film drop;

[0043] Based on the principle of uniform temperature and humidity, the size data of the film drop chamber is processed to obtain the position information of the four corners;

[0044] Generate the horizontal and vertical coordinate information of the temperature and humidity sensor ABCD according to the position information of the four corners;

[0045] Generate vertical coordinate information of temperature and humidity sensor ABCD based on the height data of the droplet;

[0046] According to the horizontal and vertical coordinate information and the vertical coordinate information of the temperature and humidity sensor ABCD, the setting quantity and position coordinates of the temperature and humidity sensor ABCD are determined, and the temperature and humidity data of multiple points in the drip bin are obtained.

[0047] As the preferred technical measures:

[0048] Based on the pre-built warehouse temperature control model, the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity are substituted into the temperature and humidity mapping relationship to obtain the corresponding adjustment strategy of the temperature and humidity adjustment device as follows:

[0049] The temperature and humidity data of multiple points in the film drop bin are the temperature and humidity data of four points;

[0050] The actual measured values ​​of temperature and humidity at the four points are respectively input into the temperature and humidity mapping relationship L. At this time, the temperature and humidity mapping relationship L generates a corresponding adjustment strategy Q according to the comparison relationship between the actual measured values ​​of temperature and humidity and the target temperature and humidity, and calculates the mapping coefficient P0. The adjustment strategy includes adjusting the state of the fan WXYZ, the cooling fan S and the heating device T, so as to adjust the temperature of the film drop chamber;

[0051] After a certain period of time, new actual temperature and humidity measurement values ​​of the four points are obtained. At this time, the new actual temperature and humidity measurement values ​​and the target temperature and humidity are substituted into the temperature and humidity mapping relationship L to obtain the mapping coefficient P1;

[0052] Compare the mapping coefficient P0 with the mapping coefficient P1 to determine whether the adjustment strategy is effective;

[0053] If P1>P0, it means that this adjustment strategy is effective, and the reward function R obtains a positive coefficient for feedback on this adjustment strategy, that is, this state adjustment is performed under the temperature and humidity of this state;

[0054] If P1≤P0, it means that this adjustment strategy is invalid or even has a negative effect, then a negative coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, under the temperature and humidity of this state, this adjustment strategy Q is invalid, and another adjustment strategy Q1 needs to be reselected.

[0055] To achieve one of the above purposes, the second technical solution of the present invention is:

[0056] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0057] The temperature and humidity data of multiple points in the film drop warehouse are obtained through the pre-built warehouse temperature collection model;

[0058] Using the pre-built warehouse temperature simulation model, the temperature and humidity data of multiple points are fused and processed to obtain the temperature and humidity fitting data;

[0059] Based on the pre-built device parameter acquisition model, the quantity, location information and temperature and humidity adjustment capacity data of the temperature and humidity adjustment devices are obtained;

[0060] Using a pre-built device adjustment simulation model, the number, location information and temperature and humidity adjustment capacity parameters of the temperature and humidity adjustment devices are processed to obtain temperature and humidity adjustment capacity data;

[0061] Through the pre-built warehouse temperature control model, the temperature and humidity adjustment capability data and the temperature and humidity fitting data are coupled and processed to obtain the switching action parameters of the temperature and humidity adjustment device, thereby completing the temperature and humidity control of the film dropping warehouse.

[0062] After continuous exploration and experiments, the present invention couples the temperature and humidity adjustment capability data and the temperature and humidity fitting data to obtain the switching action parameters of the temperature and humidity adjustment device, that is, the corresponding adjustment strategy of the temperature and humidity adjustment device, so as to realize the precise temperature and humidity control of the drop film bin. Therefore, a space of the size of the drop film bin can be kept in the target temperature and humidity state, and constant temperature and humidity control can be achieved, ensuring that the drop film bin has a good temperature and humidity, thereby ensuring the smooth progress of the drop film work.

[0063] To achieve one of the above purposes, the third technical solution of the present invention is:

[0064] A temperature and humidity control system for a film drop bin, comprising a device adjustment simulation module, an adjustment strategy generation module, a bin temperature acquisition module and a bin temperature control module;

[0065] The device adjustment simulation module is used to process the adjustment parameters of the temperature and humidity adjustment device to obtain the temperature and humidity adjustment capacity data;

[0066] An adjustment strategy generation module is used to process the temperature and humidity adjustment capability data based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, obtain the temperature and humidity mapping relationship of the film drop bin, and generate an adjustment strategy for the temperature and humidity adjustment device;

[0067] The warehouse temperature collection module is used to obtain the temperature and humidity data and target temperature and humidity of multiple points in the film dropping warehouse;

[0068] The warehouse temperature control module is used to substitute the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity into the temperature and humidity mapping formula, obtain the corresponding adjustment strategy of the temperature and humidity regulating device, and complete the temperature and humidity control of the film drop warehouse.

[0069] After continuous exploration and experiments, the present invention obtains the temperature and humidity mapping relationship of the drip bin by setting a device adjustment simulation module, an adjustment strategy generation module, a bin temperature acquisition module and a bin temperature control module, and generates an adjustment strategy for the temperature and humidity adjustment device. At the same time, based on the temperature and humidity data of multiple points in the drip bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip bin. As a result, a space of the size of the drip bin can be kept in the target temperature and humidity state, and constant temperature and humidity control can be achieved, thereby ensuring that the drip bin has a good temperature and humidity, thereby ensuring the smooth progress of the drip work.

[0070] As the preferred technical measures:

[0071] The length, width and height of the film drop chamber are 0.7*0.4*0.4m, and the height of the film drop is 0.1m;

[0072] High-precision temperature and humidity sensors are installed at the four corners of the film drop chamber;

[0073] The four high-precision temperature and humidity sensors are set at a height of 0.1m, flush with the setting position of the drop sheet, and are used to monitor the temperature and humidity data in four directions in real time;

[0074] A fan WXYZ is installed 0.1m above each high-precision temperature and humidity sensor to transfer the temperature and humidity in the air;

[0075] The temperature and humidity regulating device includes a fan WXYZ, a heating device T, a cooling fan S, a humidifying device HIJK and a dehumidifier M;

[0076] The heating device T is provided with a button at its bottom for adjusting its heating power;

[0077] The cooling fan S and dehumidifier M are arranged on the top of the film drop bin;

[0078] The humidifying device HIJK is distributed on each surface of the film drop chamber and has the same height as the film drop position.

[0079] To achieve one of the above purposes, the fourth technical solution of the present invention is:

[0080] An electronic device comprising:

[0081] one or more processors;

[0082] A storage device for storing one or more programs;

[0083] When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned temperature and humidity control method for the film drop chamber.

[0084] To achieve one of the above purposes, the fourth technical solution of the present invention is:

[0085] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned temperature and humidity control method for a film drop chamber.

[0086] Compared with the prior art solutions, the present invention has the following beneficial effects:

[0087] After continuous exploration and experiments, the present invention obtains the temperature and humidity mapping relationship of the drip bin by constructing a device adjustment simulation model, an adjustment strategy generation model, a bin temperature acquisition model and a bin temperature control model, and generates an adjustment strategy for the temperature and humidity adjustment device. At the same time, based on the temperature and humidity data of multiple points in the drip bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip bin. Therefore, a space of the size of the drip bin can be kept in the target temperature and humidity state, and constant temperature and humidity control can be achieved, thereby ensuring that the drip bin has a good temperature and humidity, thereby ensuring the smooth progress of the drip work.

[0088] Furthermore, through continuous exploration and experimentation, the present invention couples the temperature and humidity adjustment capability data and the temperature and humidity fitting data to obtain the switching action parameters of the temperature and humidity adjustment device, that is, the corresponding adjustment strategy of the temperature and humidity adjustment device, thereby realizing precise temperature and humidity control of the drip chamber, and realizing constant temperature and humidity control, ensuring that the drip chamber has better temperature and humidity.

[0089] Furthermore, the present invention obtains the temperature and humidity mapping relationship of the drip bin and generates an adjustment strategy for the temperature and humidity adjustment device by setting a device adjustment simulation module, an adjustment strategy generation module, a bin temperature collection module and a bin temperature control module. At the same time, based on the temperature and humidity data of multiple points in the drip bin and the target temperature and humidity, the corresponding adjustment strategy of the temperature and humidity adjustment device is obtained, thereby realizing precise temperature and humidity control of the drip bin. Therefore, a space of the size of a drip bin can be kept in a target temperature and humidity state, and constant temperature and humidity control can be achieved, ensuring that the drip bin has better temperature and humidity. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 A schematic diagram of a flow chart of the temperature and humidity control method of the present invention;

[0091] Figure 2 Another schematic diagram of the temperature and humidity control method of the present invention;

[0092] Figure 3 A schematic diagram of a flow chart for adjusting switch parameters of the present invention;

[0093] Figure 4 A schematic diagram of the structure of the temperature and humidity control system of the present invention; DETAILED DESCRIPTION

[0094] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0095] On the contrary, the present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the following detailed description of the present invention. Those skilled in the art can fully understand the present invention without the description of these details.

[0096] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention pertains. The terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "or / and" as used herein includes any and all combinations of one or more of the associated listed items.

[0097] like Figure 1 As shown, the first specific embodiment of the temperature and humidity control method for a film drop chamber of the present invention is as follows:

[0098] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0099] Using a pre-built device adjustment simulation model, the adjustment parameters of the temperature and humidity adjustment device are processed to obtain the temperature and humidity adjustment capacity data;

[0100] Using the pre-built adjustment strategy generation model, based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, the temperature and humidity adjustment capability data is processed to obtain the temperature and humidity mapping relationship of the film drop bin and the adjustment strategy of the temperature and humidity adjustment device;

[0101] Through the pre-built warehouse temperature collection model, the temperature and humidity data and target temperature and humidity of multiple points in the film drop warehouse are obtained;

[0102] Based on the pre-built warehouse temperature control model, the temperature and humidity data of multiple points in the film dropping warehouse and the target temperature and humidity are substituted into the temperature and humidity mapping formula to obtain the corresponding adjustment strategy of the temperature and humidity regulating device to complete the temperature and humidity control of the film dropping warehouse.

[0103] The second specific embodiment of the temperature and humidity control method for a film drop chamber of the present invention is as follows:

[0104] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0105] Based on the pre-built device parameter acquisition model, the quantity, location information and temperature and humidity adjustment capacity data of the temperature and humidity adjustment devices are obtained;

[0106] Using a pre-built device adjustment simulation model, the number, location information and temperature and humidity adjustment capacity parameters of the temperature and humidity adjustment devices are processed to obtain temperature and humidity adjustment capacity data;

[0107] Through the pre-built warehouse temperature control model, the temperature and humidity adjustment capability data and the temperature and humidity fitting data are coupled and processed to obtain the switching action parameters of the temperature and humidity adjustment device, thereby completing the temperature and humidity control of the film dropping warehouse.

[0108] The third specific embodiment of the temperature and humidity control method for a film drop chamber of the present invention is as follows:

[0109] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0110] The temperature and humidity data of multiple points in the film drop warehouse are obtained through the pre-built warehouse temperature collection model;

[0111] Using the pre-built warehouse temperature simulation model, the temperature and humidity data of multiple points are fused and processed to obtain the temperature and humidity fitting data;

[0112] Based on the pre-built device parameter acquisition model, the quantity, location information and temperature and humidity adjustment capacity data of the temperature and humidity adjustment devices are obtained;

[0113] Using a pre-built device adjustment simulation model, the number, location information and temperature and humidity adjustment capacity parameters of the temperature and humidity adjustment devices are processed to obtain temperature and humidity adjustment capacity data;

[0114] Through the pre-built warehouse temperature control model, the temperature and humidity adjustment capability data and the temperature and humidity fitting data are coupled and processed to obtain the switching action parameters of the temperature and humidity adjustment device, thereby completing the temperature and humidity control of the film dropping warehouse.

[0115] like Figure 2 , Figure 3 As shown, the fourth specific embodiment of the temperature and humidity control method for a film drop chamber of the present invention is as follows:

[0116] A temperature and humidity control method for a film drop chamber, comprising the following contents:

[0117] In the film drop bin with a length, width and height of 0.7*0.4*0.4m, the height of the film drop is 0.1m. There are four high-precision temperature and humidity sensors ABCD at the same height of 0.1m, which are used to monitor the temperature and humidity data in four directions in real time, and are located at the four corners of the film bin. The plane formed by the high-precision temperature and humidity sensors ABCD is consistent with the plane of the film drop height. Each sensor can respond with high precision and high time, and detect the temperature and humidity of the corresponding position in real time. And a small fan WXYZ is installed 0.1m above each sensor to transfer the temperature and humidity in the air. The temperature heating device T can adjust its heating power at the bottom, and the cooling fan S is at the top of the film drop bin. The humidification device HIJK is distributed on each surface of the film bin and has the same height as the film drop position. According to the size of the film bin, it is ensured that there is at least one humidification point on each surface; at the same time, a dehumidifier M is installed on the top.

[0118] When the sensor starts working, the temperature and humidity of the four points are collected and fed back to the host computer of the present invention. The host computer judges the temperature and humidity of each point, and fits the temperature and humidity environment in the warehouse through the adjustment strategy generation model and the warehouse temperature control model. This process requires a lot of artificial intelligence algorithm training process in the early stage. The warehouse temperature control model is fitted by some process data and process status, as well as the preset temperature and humidity to be achieved.

[0119] Through matrix fitting, the corresponding data is obtained. After the fitting is completed, the corresponding parameters of the switches can be obtained by real-time monitoring of the corresponding temperature and humidity data, that is, turning on / off the heating device, turning on / off each humidification device, and turning on / off each temperature and humidity transfer fan. Through real-time fitting and switch action, the temperature and humidity in the warehouse can be accurate and uniform.

[0120] In this embodiment, the specific fitting process is described in detail as follows:

[0121] First, the sensor collects and transmits the temperature and humidity at each point. Due to the use of high-precision and high-response speed sensors, the collection and transmission process can be completed within milliseconds. Then, the transmitted data is preprocessed, which includes denoising and normalization to ensure the quality and applicability of the data.

[0122] In the adjustment strategy generation model and the warehouse temperature control model, the reinforcement learning algorithm is selected to fit the sensor data and the switch status of devices such as fans. For problems that require real-time decision-making, the reinforcement learning algorithm is a relatively suitable algorithm for real-time control. The state and action of the reinforcement learning algorithm are defined as follows: state - the temperature and humidity data of the current four sensors, and the current state of each control device; action - change the state of each control device.

[0123] In the reinforcement learning algorithm, a reward function R is defined so that when the temperature and humidity are close to the target value, the reward increases; when they deviate from the target value, the reward decreases. That is, if the temperature and humidity are within the set range, the reward is positive; if the temperature and humidity deviate from the set range, the reward is negative.

[0124] The calculation formula for the absolute error of temperature and humidity is as follows:

[0125] DeltaT=|T-T_{text{target}}|

[0126] DeltaH=|H-H_{text{target}}|

[0127] Where DeltaT is the absolute error between the current temperature and the target temperature; DeltaH is the absolute error between the current humidity and the target humidity, T is the current temperature; H is the current humidity; T_{text{target}} is the target temperature; H_{text{target}} is the target humidity;

[0128] The allowed temperature range is epsilon_T and the humidity error range is epsilon_H. When the temperature and humidity errors are within this range, they are considered to be close to the target value.

[0129] The reward function is calculated as follows:

[0130] R(T,H)=R_T+R_H

[0131] Where: R_T is the reward related to temperature, R_H is the reward related to humidity.

[0132] When the temperature error DeltaT is less than or equal to the allowed error range epsilon_T, the reward is (1-frac{DeltaT}{epsilon_T}). When the temperature is close to the target value, the reward is close to 1. When the temperature error reaches the upper limit epsilon_T, the reward is 0. When the temperature error DeltaT exceeds the allowed error range epsilon_T, the reward is negative, and the larger the error, the larger the negative value. The same is true for humidity. The total reward R(T,H) is the sum of the temperature reward R_T and the humidity reward R_H. When both temperature and humidity are within the target range, the reward is positive and tends to 2 (maximum reward). When the temperature and humidity deviate from the target value, the reward gradually becomes negative. The more deviations, the smaller the reward or even negative.

[0133] After that, you only need to continuously train the model, that is, use the Q learning algorithm in the reinforcement learning algorithm to train the model through the collected temperature and humidity data and device status data. The goal is to enable the algorithm to achieve the optimal constant temperature and humidity effect by adjusting the status of each device. Deploy the trained algorithm model in the control system to monitor the temperature and humidity data, make the best decision based on the current status, and adjust the status of each device.

[0134] In this embodiment, the method of making the best decision based on the current state and adjusting the state of each device is as follows:

[0135] Set the target temperature to 25°C, establish a mapping relationship L between the temperatures of the four sensors and the target temperature 25°C, and obtain a mapping coefficient P (0<P≤1). Set related variables, including the following:

[0136] T_1: temperature of sensor 1,

[0137] T_2: temperature of sensor 2,

[0138] T_3: temperature of sensor 3,

[0139] T_4: Temperature of sensor 4.

[0140] (T_{text{target}}=25)℃: target temperature.

[0141] (DeltaT_i=|T_i-T_{text{target}}|): absolute error between the temperature of sensor (i) and the target temperature.

[0142] (DeltaT_{max}): The maximum acceptable temperature difference. Currently, the temperature difference of 0.2°C is set as the highest acceptable error, so (DeltaT_{max}=0.2).

[0143] Then, a mapping relationship L is established to map the error between each sensor temperature and the target temperature into a coefficient P_i, which indicates the proximity of sensor T_i to the target temperature. Specifically, the value range of the mapping coefficient P_i is 0 <P_i\leq1。

[0144] The calculation formula of the mapping coefficient P_i is as follows:

[0145] P_i=

[0146] \begin{cases}

[0147] 1-\frac{\Delta T_i}{\Delta T_{\max}},&\text{if}\Delta T_i\leq\DeltaT_{\max}\

[0148] 0,&\text{if}\Delta T_i>\Delta T_{\max}

[0149] \end{cases}

[0150] in:

[0151] When the error DeltaT_i between the sensor temperature and the target temperature is within the maximum allowable error range DeltaT_{max}, the mapping coefficient P_i is a value from 0 to 1. The smaller the error, the closer P_i is to 1.

[0152] If the error exceeds DeltaT_{max}, the temperature deviation of the sensor is considered to be too large, and the mapping coefficient P_i is 0. In order to obtain the comprehensive mapping coefficient P_{text{overall}} of all sensors, the average value of the mapping coefficient of each sensor can be used, and the calculation formula is as follows:

[0153] P_{text{overall}}=frac{P_1+P_2+P_3+P_4}{4}

[0154] This value reflects how close the overall temperature is to the target temperature, and the range is still 0 <P_{text{overall}}\leq1。

[0155] The actual measured values ​​of the four temperatures are input into the reward function R respectively. At this time, the function will adjust the strategy Q according to the comparison between the input value and the target temperature, that is, set the fan WXYZ, the cooling fan S and the heating device T to adjust the state, so as to adjust the temperature. The state adjustment strategy Q is pre-input, and there are 2 6 There is a strategy, that is, whether all fans and heating devices are turned on has a combination, and the best adjustment strategy for this temperature or this type of temperature is obtained by mapping the relationship of the coefficient P.

[0156] Five seconds later, a new actual temperature state is obtained. At this time, the new actual temperature state and the target value 25°C are substituted into the mapping relationship L to obtain the mapping coefficient P1, which is compared with the mapping coefficient P0 of the old actual temperature state and the target value 25°C.

[0157] If P1>P0, it means that this adjustment is effective, and a positive coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, under the temperature of this state, this state adjustment can be made; if P1≤P0, it means that this adjustment is invalid or even has a negative effect, and a negative coefficient is obtained in the reward function R for feedback on the entry adjustment strategy, that is, under the temperature of this state, this adjustment strategy Q is invalid, and another adjustment strategy Q1 needs to be reselected.

[0158] And for a mapping relationship L, several adjustment strategies U can be obtained to be effective. At this time, it is necessary to compare the adjusted mapping coefficients for final confirmation. Selecting an adjustment strategy with the largest P value to adapt this mapping relationship L can greatly reduce the time required for adjustment. Through a large amount of training, a series of mapping relationships L and mapping coefficients P can be obtained with a strong correlation. In other words, it can be concluded that a series of mapping relationships L are best suitable for the same adjustment strategy Q. This series of mapping relationships can be summarized together to obtain a mapping relationship group, and more mapping relationships can be directly summarized into the group according to the rules within the group.

[0159] When the temperature of the four points is within ±0.3℃ of the preset value of 25℃, the power of the heating device T or the cooling fan S is adjusted according to the outdoor temperature so that the temperature of the four points ABCD can be kept normally around 25℃. Similarly, the target humidity is set to 45%, and the relationship between the corresponding mapping relationship and the adjustment strategy is obtained. The adjustment strategy for humidity is to set the fan WXY, the humidification device HIJK, and the dehumidifier M. In actual application, the corresponding adjustment strategy is obtained by combining the actual temperature and humidity, and the adjustment strategy can be gradually adjusted and improved in actual operation.

[0160] Through the above model, constant temperature and humidity can be gradually achieved during the Q learning process. Finally, after a large amount of data, the temperature and humidity can be quickly heated and humidified to the preset values ​​after powering on.

[0161] The present invention adds four fans for transferring temperature, which are used to mix the internal temperature and better ensure accuracy and uniformity. Traditional humidification also has only one nozzle, and like the temperature, it is difficult to achieve internal uniformity. The present invention sets four or more humidifying devices and dehumidifying devices, which can humidify and dehumidify the humidity in the warehouse more accurately and obtain more uniform humidity conditions. Most importantly, the present invention fits the temperature, humidity and the switching status of each device through the reinforcement learning algorithm in the adjustment strategy generation model and the warehouse temperature control model, that is, through the reward function R, the mapping relationship P and the adjustment strategy Q, the state that each switch should be in at the temperature read immediately is obtained, and everything from reading to opening and closing can be automatically performed on the host computer.

[0162] A specific embodiment of the temperature and humidity control system of the film drop chamber of the present invention:

[0163] A temperature and humidity control system for a film drop bin, comprising a device adjustment simulation module, an adjustment strategy generation module, a bin temperature acquisition module and a bin temperature control module;

[0164] The device adjustment simulation module is used to process the adjustment parameters of the temperature and humidity adjustment device to obtain the temperature and humidity adjustment capacity data;

[0165] An adjustment strategy generation module is used to process the temperature and humidity adjustment capability data based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, obtain the temperature and humidity mapping relationship of the film drop bin, and generate an adjustment strategy for the temperature and humidity adjustment device;

[0166] The warehouse temperature collection module is used to obtain the temperature and humidity data and target temperature and humidity of multiple points in the film dropping warehouse;

[0167] The warehouse temperature control module is used to substitute the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity into the temperature and humidity mapping formula, obtain the corresponding adjustment strategy of the temperature and humidity regulating device, and complete the temperature and humidity control of the film drop warehouse.

[0168] In this embodiment, the length, width and height of the film drop bin are 0.7*0.4*0.4m, and the height of the film drop is 0.1m;

[0169] High-precision temperature and humidity sensors are installed at the four corners of the film drop chamber;

[0170] The four high-precision temperature and humidity sensors are set at a height of 0.1m, flush with the setting position of the drop sheet, and are used to monitor the temperature and humidity data in four directions in real time;

[0171] A fan WXYZ is installed 0.1m above each high-precision temperature and humidity sensor to transfer the temperature and humidity in the air;

[0172] The temperature and humidity regulating device includes a fan WXYZ, a heating device T, a cooling fan S, a humidifying device HIJK and a dehumidifier M;

[0173] The heating device T is provided with a button at its bottom for adjusting its heating power;

[0174] The cooling fan S and dehumidifier M are arranged on the top of the film drop bin;

[0175] The humidifying device HIJK is distributed on each surface of the film drop chamber and has the same height as the film drop position.

[0176] like Figure 4 As shown, a specific embodiment of applying the method of the present invention to control the temperature and humidity of a certain film drop chamber:

[0177] The fan WXYZ of a certain film chamber is located at an appropriate distance from the sensor ABCD, which is about one-fifth of the overall height, to ensure that the air volume can be adjusted in time and the accuracy of the sensor will not be affected by the wind speed. The fan is a centrifugal fan, which can maximize the air flow direction and make the adjustment result more accurate.

[0178] Humidifier HIJK uses a spray humidifier to make the humidity change and the sensor respond more quickly, achieving the purpose of dynamic and continuous control.

[0179] The entire film drop chamber is placed in an environment of 20℃ and 60% humidity, the target temperature is set to 25℃, the humidity is set to 45%, and the film chamber is started. After the Q learning algorithm is trained, the temperature of sensors ABCD is 20℃ and the humidity is 60%. According to the overall results of the Q learning algorithm, the heating device T and the dehumidifier M are working at this time, and the four working devices WXYZ are all turned on to perform uniform heating and dehumidification. As the sensor temperature rises and the humidity decreases, the power of the heating device T is adjusted to low power, the fan is continuously turned on, and the dehumidifier is turned off to maintain the current temperature. When a heat source is placed near sensor A, it simulates that this place is close to other heating devices or heat sources. At this time, the temperature of sensor A is a high temperature of 40℃, and the temperature of the other three sensors is 30℃. At this time, according to the overall results of the Q learning algorithm, the fan above sensor A is turned on and the other three fans are turned off. In this problem, the temperature and humidity of the environment are controlled by the Q learning algorithm, and the working status of the heating, dehumidification, ventilation and other equipment is dynamically adjusted according to the feedback of each sensor.

[0180] In this embodiment, in order to automate this control process, the implementation steps are as follows:

[0181] Step 1. Environment initialization and goal setting

[0182] Ambient temperature: 20℃

[0183] Ambient humidity: 60%

[0184] Target temperature: 25℃

[0185] Target humidity: 45%

[0186] Sensors: A, B, C, D, initially collected a temperature of 20°C and a humidity of 60%.

[0187] Step 2. Basic framework of Q-learning algorithm

[0188] Q-learning is a reinforcement learning algorithm based on the state-action value table Q table. The algorithm optimizes the expected reward of taking an action in each state through continuous iteration, thereby achieving the purpose of learning the optimal strategy. In this control process, the basic elements of Q learning are:

[0189] State s: The current environment's temperature, humidity, and the states of each sensor's feedback. Its expression is as follows:

[0190] s=(T_A,T_B,T_C,T_D,H)), which is used to characterize the temperature of each sensor and the system humidity.

[0191] Action a: involves the operation of the control device, which includes:

[0192] 1. Adjust the power of the heating device T (high, medium, low).

[0193] 2. Turn dehumidifier M on or off.

[0194] 3. Turn the fan on or off (W_X, W_Y, W_Z).

[0195] 4. Turn cooling fan S on or off.

[0196] Reward function R: The reward function is defined based on the proximity of temperature and humidity to the target value. The closer the temperature and humidity are to the target value, the greater the reward; the greater the deviation, the smaller the reward, or even a negative value. You can refer to the following reward function:

[0197] R=-(alpha|DeltaT|+beta|DeltaH|)

[0198] Among them, (DeltaT=T_{text{avg}}-T_{text{target}}), (DeltaH=H-H_{text{target}}), alpha and beta are weight parameters, and T_{text{avg}} is the average temperature of the four sensors.

[0199] Step 3. Data processing during control

[0200] Based on the feedback data from the sensor, the algorithm selects the optimal action a to adjust the working state of the system according to the current state s.

[0201] 3.1 Initial state: heating, dehumidification and fan on

[0202] Initial state:

[0203] T_A=20^circC,T_B=20^circ C,T_C=20^circC,T_D=20^circ C

[0204] Humidity H = 60%

[0205] action:

[0206] 1. The heating device T is started at high power to increase the temperature.

[0207] 2. The dehumidification device M starts to reduce the air humidity.

[0208] 3. All working fans WXYZ are turned on to ensure uniform heating and dehumidification.

[0209] award:

[0210] The temperature and humidity deviate greatly from the target values, and the initial reward is low. The algorithm gradually narrows the gap by trying different action combinations.

[0211] 3.2 State change: temperature and humidity gradually approach target values

[0212] Sensor Feedback:

[0213] As heating and dehumidification proceed, the temperature and humidity gradually approach the target values.

[0214] For example, after some time:

[0215] T_A=23^circ C,T_B=23^circ C,T_C=23^circ C,T_D=23^circ C

[0216] Humidity (H = 50%)

[0217] Action Adjustment:

[0218] 1. Reduce the power of the heating device T to medium or low power to slow down the temperature rise.

[0219] 2. The dehumidification device M is turned off to prevent the humidity from being too low.

[0220] 3. Fans WXYZ are continuously turned on to ensure uniform distribution of temperature and humidity.

[0221] award:

[0222] As the temperature and humidity approach the target values, the reward value gradually increases.

[0223] 3.3 Introducing local heat source: local high temperature control

[0224] When there is a local heat source near sensor A, the temperature of the sensor rises sharply.

[0225] T_A=40^circC

[0226] T_B=30^circ C,T_C=30^circ C,T_D=30^circ C

[0227] action:

[0228] 1. Based on the overall results of Q-learning, in response to the local overheating of sensor A, turn on the fan (W_A) above it to increase air flow and quickly dissipate heat.

[0229] 2. Turn off the fans above the B, C, and D sensors to prevent the temperature from being too low.

[0230] 3. Turn on the cooling fan S to help dissipate heat.

[0231] award:

[0232] The temperature of sensor A is too high above the target value, resulting in a negative reward. By adjusting the local heat dissipation, it gradually returns to normal.

[0233] 3.4 Status recovery: Temperature is uniform and close to the target

[0234] After a period of time, the temperature of the sensor tends to be balanced:

[0235] T_A=25^circ C,T_B=25^circ C,T_C=25^circ C,T_D=25^circ C

[0236] action:

[0237] 1. The heating device T is in a low power maintenance state.

[0238] 2. The dehumidifier M remains closed.

[0239] 3. Working fan WXYZ works continuously to maintain uniform heating.

[0240] 4. Turn off the cooling fan S to prevent the temperature from being too low.

[0241] award:

[0242] Both temperature and humidity are close to the target values, positive rewards are obtained, and the system tends to be stable.

[0243] Step 4. The entire control process includes the following steps:

[0244] 1. State perception: Get the current temperature and humidity information (T_A, T_B, T_C, T_D, H) in real time through sensors.

[0245] 2. Q-table decision: According to the current state s, select the optimal action a from the Q-table, which corresponds to the operation of equipment such as heating, dehumidification, and fan.

[0246] 3. Action execution: Execute the selected action combination, such as adjusting the heating device T, turning on and off the fan WXYZ, turning on and off the dehumidification equipment M, etc.

[0247] 4. Status update and reward feedback: According to the latest temperature and humidity status fed back by the sensor, update the corresponding value in the Q table. The update formula is as follows:

[0248] \(Q(s,a)\leftarrow Q(s,a)+\alpha\cdot(R+\gamma\cdot\max Q(s',a')-Q(s,a))\)).

[0249] 5. Local adjustment: When a local abnormality occurs (such as sensor A overheating due to a heat source), local adjustments are made to the area (such as turning on the fan to dissipate heat) without interfering with the overall operation of the system.

[0250] 6. Stable state: When the temperature and humidity are close to the target values, the equipment power and state gradually decrease, and the system enters a stable state.

[0251] An embodiment of a device applying the method of the present invention:

[0252] An electronic device comprising:

[0253] one or more processors;

[0254] A storage device for storing one or more programs;

[0255] When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned temperature and humidity control method for the film drop chamber.

[0256] A computer medium embodiment of the method of the present invention is applied:

[0257] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned temperature and humidity control method for a film drop chamber.

[0258] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, and computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0259] The present application is described by flowcharts or / and block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each process or / and block in the flowchart or / and block diagram and the combination of the processes or / and blocks in the flowchart or / and block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart or / and block diagram. Figure 1 Process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0260] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 Process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0261] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 Process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0262] The model in this application is an object that objectively describes the morphological structure with the help of physical or virtual representation. The object is not equal to the object and is not limited to physical and virtual. It can be a data processing function, software program, processing mode, usage method, operation method, workflow, application process, electronic hardware, circuit module, processing system, system imitation or simulation object.

[0263] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field can still modify or replace the specific implementation methods of the present invention with equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A temperature and humidity control method for a film drop chamber, characterized in that: Includes the following: Using a pre-built device adjustment simulation model, the adjustment parameters of the temperature and humidity adjustment device are processed to obtain the temperature and humidity adjustment capacity data; The method is as follows: The temperature and humidity regulating device includes a fan WXY, a humidifying device HIJK and a dehumidifier M; The adjustment parameters include the type, quantity, location information, heating power, humidification power and wind power of the temperature and humidity adjustment device; Process the type, quantity, location information, heating power, humidification power and wind power of the temperature and humidity adjustment device to obtain temperature and humidity adjustment capacity data; Using the pre-built adjustment strategy generation model, based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, the temperature and humidity adjustment capability data is processed to obtain the temperature and humidity mapping relationship of the film drop bin, and the adjustment strategy of the temperature and humidity adjustment device is generated; The method is as follows: A reinforcement learning model is constructed based on the structural data of the film drop bin, the historical temperature and humidity data of the film drop bin, and the state parameter information of the fan WXY, the humidifier HIJK, and the dehumidifier M; Based on the reinforcement learning model, the historical temperature and humidity data of the film drop bin and the switch state of the temperature and humidity regulating device are fitted to obtain the temperature and humidity mapping relationship of the film drop bin; Generate an adjustment strategy for the temperature and humidity regulating device according to the temperature and humidity mapping relationship; The pre-built warehouse temperature collection model is used to obtain the temperature and humidity data and target temperature and humidity at multiple points in the film drop warehouse. The method is as follows: Obtain the size data of the film drop bin and the height data of the film drop; Based on the principle of uniform temperature and humidity, the size data of the film drop chamber is processed to obtain the position information of the four corners; Generate the horizontal and vertical coordinate information of the temperature and humidity sensor ABCD according to the position information of the four corners; Generate vertical coordinate information of temperature and humidity sensor ABCD based on the height data of the droplet; According to the horizontal and vertical coordinate information and the vertical coordinate information of the temperature and humidity sensor ABCD, the number and position coordinates of the temperature and humidity sensor ABCD are determined, and the temperature and humidity data of multiple points of the film drop bin are obtained; Based on the pre-built warehouse temperature control model, the temperature and humidity data of multiple points in the film dropping warehouse and the target temperature and humidity are substituted into the temperature and humidity mapping formula to obtain the corresponding adjustment strategy of the temperature and humidity regulating device to complete the temperature and humidity control of the film dropping warehouse.

2. A temperature and humidity control method for a film drop chamber according to claim 1, characterized in that: The method to build a reinforcement learning model is as follows: Set the reward variable and reward function; the reward mechanism of the reward function is as follows: When the temperature and humidity of the film drop bin are close to the target value, the reward variable increases; when the temperature and humidity of the film drop bin deviate from the target value, the reward variable decreases; that is, if the temperature and humidity are within the set range, the reward variable is positive; if the temperature and humidity deviate from the set range, the reward variable is negative; Based on the reward function, as well as the historical temperature and humidity data of the film drop warehouse and the temperature and humidity adjustment capability data, a temperature and humidity mapping relationship between the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity is constructed; According to the temperature and humidity mapping relationship L, the adjustment strategies of multiple temperature and humidity regulating devices are obtained; the adjustment strategies include adjusting the states of the fan WXYZ, the cooling fan S and the heating device T, so as to adjust the temperature; The mapping coefficient of each adjustment strategy is calculated, and the adjustment strategy with the largest mapping coefficient is selected as the final adjustment strategy.

3. A temperature and humidity control method for a film drop chamber according to claim 1, characterized in that: The method of calculating the mapping coefficient of each adjustment strategy and selecting the adjustment strategy with the largest mapping coefficient as the final adjustment strategy is as follows: Calculating a mapping coefficient of each adjustment strategy to obtain a plurality of mapping coefficient values, which at least include a mapping coefficient value one and a mapping coefficient value two; According to the mapping coefficient value 1 and the mapping coefficient value 2, whether the adjustment strategy is effective is determined; When the mapping coefficient value 1 is greater than or equal to the mapping coefficient value 2, it means that the adjustment strategy corresponding to the mapping coefficient value 1 is effective, and a positive coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, this state adjustment is performed under the temperature and humidity of this state; When the mapping coefficient value 1 is less than the mapping coefficient value 2, it means that the adjustment strategy corresponding to the mapping coefficient value 1 is invalid or even has a negative effect. Then a negative coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, under the temperature and humidity of this state, this adjustment strategy Q is invalid, and another adjustment strategy Q1 needs to be reselected; After the judgment is completed, the final adjustment strategy is obtained.

4. A temperature and humidity control method for a film drop chamber according to claim 1, characterized in that: Based on the pre-built warehouse temperature control model, the temperature and humidity data of multiple points in the film drop warehouse and the target temperature and humidity are substituted into the temperature and humidity mapping relationship to obtain the corresponding adjustment strategy of the temperature and humidity adjustment device as follows: The temperature and humidity data of multiple points in the film drop bin are the temperature and humidity data of four points; The actual measured values ​​of temperature and humidity at the four points are respectively input into the temperature and humidity mapping relationship L. At this time, the temperature and humidity mapping relationship L generates a corresponding adjustment strategy Q according to the comparison relationship between the actual measured values ​​of temperature and humidity and the target temperature and humidity, and calculates the mapping coefficient P0. The adjustment strategy includes adjusting the state of the fan WXYZ, the cooling fan S and the heating device T, so as to adjust the temperature of the film drop chamber; After a certain period of time, new actual temperature and humidity measurement values ​​of the four points are obtained. At this time, the new actual temperature and humidity measurement values ​​and the target temperature and humidity are substituted into the temperature and humidity mapping relationship L to obtain the mapping coefficient P1; Compare the mapping coefficient P0 with the mapping coefficient P1 to determine whether the adjustment strategy is effective; If P1>P0, it means that this adjustment strategy is effective, and the reward function R obtains a positive coefficient for feedback on this adjustment strategy, that is, this state adjustment is performed under the temperature and humidity of this state; If P1≤P0, it means that this adjustment strategy is invalid or even has a negative effect, then a negative coefficient is obtained in the reward function R for feedback on this adjustment strategy, that is, under the temperature and humidity of this state, this adjustment strategy Q is invalid, and another adjustment strategy Q1 needs to be reselected.

5. A temperature and humidity control system for a film drop chamber, characterized in that: A temperature and humidity control method for a film drop chamber as described in any one of claims 1 to 4 is applied, comprising a device adjustment simulation module, an adjustment strategy generation module, a chamber temperature acquisition module and a chamber temperature control module; The device adjustment simulation module is used to process the adjustment parameters of the temperature and humidity adjustment device to obtain the temperature and humidity adjustment capacity data; An adjustment strategy generation module is used to process the temperature and humidity adjustment capability data based on the structure data of the film drop bin and the historical temperature and humidity data of the film drop bin, obtain the temperature and humidity mapping relationship of the film drop bin, and generate an adjustment strategy for the temperature and humidity adjustment device; The warehouse temperature collection module is used to obtain the temperature and humidity data and target temperature and humidity of multiple points in the film dropping warehouse; The warehouse temperature control module is used to substitute the temperature and humidity data of multiple points in the film dropping warehouse and the target temperature and humidity into the temperature and humidity mapping formula, obtain the corresponding adjustment strategy of the temperature and humidity regulating device, and complete the temperature and humidity control of the film dropping warehouse.

6. A temperature and humidity control system for a film drop chamber according to claim 5, characterized in that: The length, width and height of the film drop chamber are 0.7*0.4*0.4m, and the height of the film drop is 0.1m; High-precision temperature and humidity sensors are installed at the four corners of the film drop chamber; The four high-precision temperature and humidity sensors are set at a height of 0.1m, flush with the setting position of the drop sheet, and are used to monitor the temperature and humidity data in four directions in real time; A fan WXYZ is installed 0.1m above each high-precision temperature and humidity sensor to transfer the temperature and humidity in the air; The temperature and humidity regulating device includes a fan WXYZ, a heating device T, a cooling fan S, a humidifying device HIJK and a dehumidifier M; The heating device T is provided with a button at its bottom for adjusting its heating power; The cooling fan S and dehumidifier M are arranged on the top of the film drop bin; The humidifying device HIJK is distributed on each surface of the film drop chamber and has the same height as the film drop position.

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