An Adaptive Temperature Control Regulation and Overload Protection Method for a Discharge Gun

Abstract

The present invention relates to the field of temperature control regulation of a discharge gun, and discloses an adaptive temperature control regulation and overload protection method for a discharge gun, which includes the following steps: collecting relevant parameters of the discharge gun and performing data preprocessing to construct a temperature prediction model of the discharge gun, combining the temperature prediction model of the discharge gun to perform an overload prediction determination on a target discharge gun, performing fuzzy PID temperature control regulation on the overloaded target discharge gun, and finally performing adaptive temperature control regulation in combination with an adaptive optimization module. The present invention can avoid extreme risks such as fire, electric shock, and battery explosion, extend the service life of the discharge gun and the battery, and avoid equipment shutdown caused by overheating or protection power-off.

Description

Technical Field

[0001] The present invention relates to the field of temperature control regulation of a discharge gun, and particularly to an adaptive temperature control regulation and overload protection method for a discharge gun. Background Art

[0002] A discharge gun is a key component of an electric vehicle, which supports reverse output of the electrical energy of the in-vehicle power battery to external devices or the power grid. Its function is opposite to that of a charging gun, realizing the function of "vehicle-to-grid discharging". The core working principle is that through an in-vehicle bidirectional charger (OBC), the direct current (DC) of the battery is converted into alternating current (AC) (such as 220V / 50Hz) for external devices to use, and the output voltage and current are dynamically adjusted according to the load demand to be compatible with different devices. The actual application scenarios of the discharge gun include providing emergency power for families and medical devices during power outages; driving induction cookers, lighting devices, etc. during camping; reverse power transmission to the power grid during peak grid load periods to participate in power peak shaving; and temporarily charging other power-deficient electric vehicles.

[0003] When the discharge gun generates electricity with a large current, heat will be generated due to the wire resistance. At the same time, due to the switching loss of power semiconductor devices and the influence of the ambient temperature, heat will also be generated. A high-temperature discharge gun will accelerate the aging of insulating materials, leading to a risk of electric leakage, and will reduce the battery life and cause thermal runaway. At the same time, when the actual output current of the discharge gun exceeds the rated value, and when the total power of the load device exceeds the maximum allowable discharge power of the vehicle, an overload phenomenon will occur. If the discharge gun is overloaded, situations such as melting and deformation of the gun body plug / socket, breakdown of power devices, irreversible attenuation of battery capacity, etc. may occur, and it will even cause carbonization of the line insulation layer, leading to electric leakage or short-circuit fire. To avoid the above situations, an adaptive temperature control regulation and overload protection method for a discharge gun is proposed. Summary of the Invention

[0004] The present invention overcomes the deficiencies of the prior art and provides an adaptive temperature control regulation and overload protection method for a discharge gun.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] The first aspect of the present invention provides an adaptive temperature control regulation and overload protection method for a discharge gun, including the following steps:

[0007] Collect relevant parameters of the discharge gun, and perform data preprocessing on the relevant parameters of the discharge gun to obtain preprocessed relevant parameters of the discharge gun;

[0008] Combine the preprocessed relevant parameters of the discharge gun and the LSTM algorithm model to construct a target discharge gun temperature prediction model;

[0009] Combined with the target discharge gun temperature prediction model, perform overload prediction and determination on the target discharge gun, and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun;

[0010] In the target discharge gun, through the adaptive optimization module combined with the fuzzy PID module, perform adaptive temperature control adjustment on the target discharge gun.

[0011] Furthermore, in a preferred embodiment of the present invention, the associated parameters of the discharge gun are collected, and the associated parameters of the discharge gun are preprocessed to obtain the preprocessed associated parameters of the discharge gun, specifically:

[0012] Determine the discharge gun, label it as the target discharge gun, obtain the operation manual of the target discharge gun, and based on the operation manual of the target discharge gun, determine the associated parameter thresholds of the target discharge gun;

[0013] Among them, the associated parameter thresholds of the target discharge gun include the standard discharge current threshold, the standard discharge voltage threshold, the qualified temperature threshold of the discharge gun during operation, and the standard coolant flow threshold;

[0014] Determine the discharge object of the discharge gun, label it as the device to be charged, connect the target discharge gun to the device to be charged for charging, and simultaneously preset the associated parameter acquisition frequency;

[0015] Control the target discharge gun to discharge the device to be charged, and during the discharging process, combined with the associated parameter acquisition frequency, perform real-time acquisition and processing of the associated parameters of the target discharge gun to obtain the real-time associated parameters of the target discharge gun;

[0016] Introduce the moving average filtering algorithm, and based on the moving average filtering algorithm, construct a moving average filtering window. Traverse and slide the real-time associated parameters of the target discharge gun through the moving average filtering window, and during the traversing and sliding process, calculate the average value of the real-time associated parameters of the target discharge gun within the moving average filtering window, so as to obtain the filtered real-time associated parameters of the target discharge gun, labeled as the preprocessed associated parameters of the discharge gun.

[0017] Furthermore, in a preferred embodiment of the present invention, the target discharge gun temperature prediction model is constructed by combining the preprocessed associated parameters of the discharge gun and the LSTM algorithm model, specifically:

[0018] Introduce the LSTM algorithm model, and input the preprocessed associated parameters of the discharge gun into the LSTM algorithm model for storage;

[0019] Determine the time window for analyzing the preprocessed discharge gun association parameters within the LSTM algorithm model, and perform parameter segmentation on the preprocessed discharge gun association parameters in combination with the time window to obtain the preprocessed discharge gun association parameters within the time window, which are calibrated as a type of discharge gun association parameters;

[0020] Divide the type of discharge gun association parameters into a training set and a validation set, and build the model architecture of the LSTM algorithm model. Among them, the method for building the model architecture of the LSTM algorithm model is to obtain the historical data network, and retrieve and output the model architecture of the LSTM algorithm model with the highest usage rate when performing LSTM analysis on the target discharge gun in the historical data network;

[0021] Determine the loss function in the LSTM algorithm model after building the model architecture, calibrate it as the target loss function, and perform training processing on the training set based on the target loss function. At the same time, perform loss curve analysis in combination with the validation set during the training process;

[0022] If the coincidence rate of the loss curves obtained from the training set and the validation set is less than the preset value, perform hyperparameter tuning during the training process until the coincidence rate of the loss curves obtained from the training set and the validation set is not less than the preset value to obtain the target discharge gun temperature prediction model.

[0023] Furthermore, in a preferred embodiment of the present invention, in combination with the target discharge gun temperature prediction model, perform overload prediction determination on the target discharge gun, and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun, specifically:

[0024] Preset the operating time of the target discharge gun, predict the working temperature of the target discharge gun within the operating time of the target discharge gun through the target discharge gun temperature prediction model, and construct a working temperature change curve graph;

[0025] Perform working temperature change analysis on the working temperature change curve graph, and calculate the dynamic current value of the target discharge gun during the change of the operating time and the working temperature change, which is calibrated as the dynamic current value to be analyzed;

[0026] Based on the association parameter threshold of the target discharge gun, perform overload analysis on the target discharge gun. If the dynamic current value to be analyzed does not remain within the standard discharge current threshold, it is determined that the target discharge gun has an overload phenomenon;

[0027] At the same time, if the working temperature of the target discharge gun within the operating time of the target discharge gun does not remain within the qualified threshold of the discharge gun working temperature, it is also determined that the target discharge gun has an overload phenomenon;

[0028] If the target discharge gun has an overload phenomenon, perform fuzzy PID temperature control adjustment on the target discharge gun in combination with the fuzzy PID temperature control device.

[0029] Further, in a preferred embodiment of the present invention, if there is an overload phenomenon in the target discharge gun, the fuzzy PID temperature control device is combined to perform fuzzy PID temperature control adjustment on the target discharge gun, specifically as follows:

[0030] For a discharge gun with an overload phenomenon, if through the target discharge gun temperature prediction model, it is predicted that the operating temperature of the target discharge gun during the target discharge gun operation time does not remain within the qualified threshold of the discharge gun operating temperature, or it is predicted that the dynamic current value to be analyzed does not remain within the standard discharge current threshold, then it is determined that the target discharge gun is in predicted overload;

[0031] If during the real-time acquisition and processing of the associated parameters of the target discharge gun, there is a situation where the operating temperature of the target discharge gun does not remain within the qualified threshold of the discharge gun operating temperature, or the real-time acquired current of the target discharge gun does not remain within the standard discharge current threshold, then it is determined that the target discharge gun is in real-time overload;

[0032] Integrate the fuzzy PID module for the target discharge gun. If the target discharge gun is in predicted overload, then based on the fuzzy PID module, perform predicted overload protection on the target discharge gun;

[0033] Among them, the predicted overload protection is to limit the discharge current output of the target discharge gun and regulate the coolant flow rate of the target discharge gun through the fuzzy PID module to ensure that the coolant flow rate of the target discharge gun always remains within the standard coolant flow threshold;

[0034] If the target discharge gun is in real-time overload, then based on the fuzzy PID module, perform real-time overload protection on the target discharge gun;

[0035] Among them, the real-time overload protection is to immediately cut off the power of the target discharge gun through the fuzzy PID module.

[0036] Further, in a preferred embodiment of the present invention, in the target discharge gun, the adaptive optimization module is combined with the fuzzy PID module to perform adaptive temperature control adjustment on the target discharge gun, specifically as follows:

[0037] In the target discharge gun, connect the adaptive optimization module, where the adaptive optimization module is used to perform adaptive temperature control adjustment on the target discharge gun;

[0038] Based on the adaptive optimization module, record and store the surrounding environment parameters and historical operation records each time the target discharge gun is in an overload situation, and construct a dynamic adjustment fuzzy rule table according to all the recorded and stored data;

[0039] Among them, the dynamically adjusted fuzzy rule table records all the working temperatures and discharge currents that the target discharge gun will output corresponding to different peripheral environmental parameters and operation records.

[0040] Update the dynamically adjusted fuzzy rule table in real time, and introduce the dynamically adjusted fuzzy rule table into the fuzzy PID module for adaptive temperature control adjustment of the target discharge gun.

[0041] The second aspect of the present invention also provides an adaptive temperature control adjustment and overload protection system for a discharge gun. The adaptive temperature control adjustment and overload protection system includes a memory and a processor. The memory stores an adaptive temperature control adjustment and overload protection method. When the adaptive temperature control adjustment and overload protection method is executed by the processor, the following steps are implemented:

[0042] Collect the associated parameters of the discharge gun, and perform data preprocessing on the associated parameters of the discharge gun to obtain the preprocessed associated parameters of the discharge gun.

[0043] Combine the preprocessed associated parameters of the discharge gun and the LSTM algorithm model to construct a temperature prediction model for the target discharge gun.

[0044] Combine the temperature prediction model of the target discharge gun to perform overload prediction determination on the target discharge gun, and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun.

[0045] In the target discharge gun, through the adaptive optimization module combined with the fuzzy PID module, perform adaptive temperature control adjustment on the target discharge gun.

[0046] The present invention solves the technical defects existing in the background technology. The present invention has the following beneficial effects: collecting the associated parameters of the discharge gun and performing data preprocessing for constructing a temperature prediction model of the discharge gun, combining the temperature prediction model of the discharge gun to perform overload prediction determination on the target discharge gun, and performing fuzzy PID temperature control adjustment on the overloaded target discharge gun, and finally performing adaptive temperature control adjustment in combination with the adaptive optimization module. The present invention can avoid extreme risks such as fire, electric shock, and battery explosion, extend the service life of the discharge gun and the battery, and avoid equipment shutdown caused by overheating or protection power-off. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0048] Figure 1Shows a flowchart of an adaptive temperature control regulation and overload protection method for a discharge gun;

[0049] Figure 2 Shows a flowchart of a method for performing overload prediction determination on a target discharge gun and performing fuzzy PID temperature control regulation on the overloaded target discharge gun;

[0050] Figure 3 Shows a program view of an adaptive temperature control regulation and overload protection system for a discharge gun. Detailed implementation manners

[0051] In order to be able to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0052] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0053] Figure 1 Shows a flowchart of an adaptive temperature control regulation and overload protection method for a discharge gun, including the following steps:

[0054] S102: Collect associated parameters of the discharge gun and perform data preprocessing on the associated parameters of the discharge gun to obtain preprocessed discharge gun associated parameters;

[0055] S104: Combine the preprocessed discharge gun associated parameters and the LSTM algorithm model to construct a target discharge gun temperature prediction model;

[0056] S106: Combine the target discharge gun temperature prediction model to perform overload prediction determination on the target discharge gun and perform fuzzy PID temperature control regulation on the overloaded target discharge gun;

[0057] S108: In the target discharge gun, through the adaptive optimization module combined with the fuzzy PID module, perform adaptive temperature control regulation on the target discharge gun.

[0058] Further, in a preferred embodiment of the present invention, the collecting the associated parameters of the discharge gun and performing data preprocessing on the associated parameters of the discharge gun to obtain preprocessed discharge gun associated parameters is specifically:

[0059] Determine the discharge gun, label it as the target discharge gun, obtain the operation manual of the target discharge gun, and based on the operation manual of the target discharge gun, determine the associated parameter threshold of the target discharge gun;

[0060] Among them, the associated parameter thresholds of the target discharge gun include the standard discharge current threshold, the standard discharge voltage threshold, the qualified threshold of the discharge gun operating temperature, and the standard coolant flow threshold;

[0061] Determine the discharge object of the discharge gun, label it as the device to be charged, connect the target discharge gun to the device to be charged for charging, and simultaneously preset the acquisition frequency of associated parameters;

[0062] Control the target discharge gun to perform a discharge process on the device to be charged, and during the discharge process, in combination with the acquisition frequency of associated parameters, perform real-time acquisition and processing of the associated parameters of the target discharge gun to obtain the real-time associated parameters of the target discharge gun;

[0063] Introduce the moving average filtering algorithm, and based on the moving average filtering algorithm, construct a moving average filtering window. Traverse and slide the real-time associated parameters of the target discharge gun through the moving average filtering window, and during the traversal and sliding process, calculate the average value of the real-time associated parameters of the target discharge gun within the moving average filtering window, so as to obtain the filtered real-time associated parameters of the target discharge gun, labeled as the preprocessed discharge gun associated parameters.

[0064] It should be noted that before the discharge gun performs adaptive temperature control adjustment and overload protection, it is necessary to determine the possible temperature and real-time current data generated during the operation of the discharge gun, which can be predicted by constructing a model. Since constructing a model requires data conditions, it is necessary to collect the associated data during the operation of the discharge gun, that is, the standard discharge current threshold, the standard discharge voltage threshold, the qualified threshold of the discharge gun operating temperature, and the standard coolant flow threshold, which are used as the condition data for constructing the model and performing adaptive temperature control. After the data is collected, it is necessary to preprocess the data, including data filtering and noise reduction processing, because the collected data may have noise that affects the accuracy of the data. Therefore, in combination with the moving average filtering algorithm, the associated data of the collected discharge gun is preprocessed.

[0065] Further, in a preferred embodiment of the present invention, by combining the preprocessed discharge gun associated parameters and the LSTM algorithm model, a target discharge gun temperature prediction model is constructed, specifically as follows:

[0066] Introduce the LSTM algorithm model, and input the preprocessed discharge gun associated parameters into the LSTM algorithm model for storage;

[0067] Determine the time window for analyzing the preprocessed discharge gun associated parameters within the LSTM algorithm model, and combine the time window to perform parameter segmentation on the preprocessed discharge gun associated parameters to obtain the preprocessed discharge gun associated parameters within the time window, labeled as a type of discharge gun associated parameters;

[0068] Divide a set of discharge gun related parameters into a training set and a validation set, and build the model architecture of the LSTM algorithm model. Among them, the method of building the model architecture of the LSTM algorithm model is to obtain the historical data network, and retrieve and output the model architecture of the LSTM algorithm model with the highest usage rate when performing LSTM analysis on the target discharge gun in the historical data network;

[0069] Determine the loss function in the LSTM algorithm model after building the model architecture, calibrate it as the target loss function, and perform training processing on the training set based on the target loss function. At the same time, perform loss curve analysis in combination with the validation set during the training process;

[0070] If the coincidence rate of the loss curves obtained from the training set and the validation set is less than the preset value, perform hyperparameter tuning during the training process until the coincidence rate of the loss curves obtained from the training set and the validation set is not less than the preset value, and obtain the target discharge gun temperature prediction model.

[0071] It should be noted that based on the LSTM model to predict the future temperature change of the discharge gun, it is necessary to build an LSTM model and perform model training in combination with the data of the discharge gun. First, build an LSTM algorithm model and build its architecture. The purpose of using the model architecture of the LSTM algorithm model with the highest usage rate when performing LSTM analysis on the target discharge gun is that the LSTM algorithm model needs to build its architecture, such as determining the number of input layer features, the number of neurons in the LSTM layer, etc. The purpose of parameter segmentation of the preprocessed discharge gun related parameters in combination with the time window is to obtain time window data, so as to have a definite time for time step prediction and realize the construction of the model. The time window is usually the past sixty seconds and the future thirty seconds. The purposes of obtaining the training set and the validation set are to perform model parameter training and hyperparameter tuning respectively to prevent overfitting. The loss function is to calculate the mean square error of the data during the training process. Performing loss curve analysis in combination with the validation set is to compare the coincidence rate of the predicted value and the true value. If the coincidence rate is large, it is judged that the predicted value output by the model is close to the true value and can be directly output for use, and the target discharge gun temperature prediction model is obtained.

[0072] Further, in a preferred embodiment of the present invention, in the target discharge gun, the adaptive optimization module is combined with the fuzzy PID module to perform adaptive temperature control adjustment on the target discharge gun, specifically as follows:

[0073] In the target discharge gun, connect the adaptive optimization module, where the adaptive optimization module is used to perform adaptive temperature control adjustment on the target discharge gun;

[0074] Based on the adaptive optimization module, record and store the surrounding environment parameters and historical operation records each time the target discharge gun is in an overload situation, and construct a dynamic adjustment fuzzy rule table according to all the recorded and stored data;

[0075] Among them, all the working temperatures and discharge currents that the target discharge gun will output corresponding to different surrounding environment parameters and operation records are recorded in the dynamic adjustment fuzzy rule table;

[0076] Update the dynamic adjustment fuzzy rule table in real time, and introduce the dynamic adjustment fuzzy rule table into the fuzzy PID module for adaptive temperature control adjustment of the target discharge gun.

[0077] It should be noted that the adaptive optimization module can combine with the fuzzy PID module for intelligent learning of the discharge gun, that is, for adaptive temperature control adjustment of the discharge gun. Record and store the surrounding environment parameters and historical operation records each time the target discharge gun is in an overload situation, which can judge the influence on the discharge gun under different combinations of surrounding environment parameters and operation records. For example, when the environmental temperature is high and the operation of the discharge gun is improper during operation, it may all lead to temperature rise. Therefore, after generating the dynamic adjustment fuzzy rule table, when the corresponding situation occurs in the discharge gun, it can be adaptively adjusted in combination with the fuzzy PID module, such as power-off processing, to achieve adaptive temperature control adjustment.

[0078] Figure 2 The method flow chart for overload prediction determination of the target discharge gun and fuzzy PID temperature control adjustment of the overloaded target discharge gun is shown, including the following steps:

[0079] S202: Combine the target discharge gun temperature prediction model to conduct overload prediction determination on the target discharge gun, and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun;

[0080] S204: If there is an overload phenomenon in the target discharge gun, combine the fuzzy PID temperature control device to perform fuzzy PID temperature control adjustment on the target discharge gun.

[0081] Furthermore, in a preferred embodiment of the present invention, the combining the target discharge gun temperature prediction model to conduct overload prediction determination on the target discharge gun and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun is specifically:

[0082] Preset the running time of the target discharge gun, predict the working temperature of the target discharge gun within the running time of the target discharge gun through the target discharge gun temperature prediction model, and construct a working temperature change curve graph;

[0083] Perform an analysis of the working temperature change curve of the working temperature, and calculate the dynamic current value of the target discharge gun during the change of the running time and the change of the working temperature, which is calibrated as the dynamic current value to be analyzed;

[0084] Based on the associated parameter thresholds of the target discharge gun, perform an overload analysis on the target discharge gun. If the dynamic current value to be analyzed does not remain within the standard discharge current threshold, it is determined that the target discharge gun has an overload phenomenon;

[0085] Meanwhile, if the working temperature of the target discharge gun does not remain within the qualified threshold of the discharge gun working temperature during the running time of the target discharge gun, it is also determined that the target discharge gun has an overload phenomenon;

[0086] If the target discharge gun has an overload phenomenon, then in combination with the fuzzy PID temperature control device, perform fuzzy PID temperature control adjustment on the target discharge gun.

[0087] It should be noted that by predicting the working temperature of the discharge gun during the target running time and constructing a working temperature change curve, the change of temperature can be known more clearly and intuitively. Combining the change of the working temperature and calculating the dynamic current value to be analyzed is for the purpose of judging whether the discharge gun has an overload. The calculation formula is:

[0088] ;

[0089] Among them, is the rated maximum current, α is the attenuation coefficient, is the safety temperature threshold, is the critical temperature threshold. According to the working temperature change curve, the above data can be obtained for analysis, so as to calculate the dynamic current value to be analyzed. If the current is too large, it will directly cause an overload, and if the temperature is too high, it will also cause an overload phenomenon.

[0090] Furthermore, in a preferred embodiment of the present invention, the step of, if the target discharge gun has an overload phenomenon, then in combination with the fuzzy PID temperature control device, perform fuzzy PID temperature control adjustment on the target discharge gun is specifically as follows:

[0091] For the discharge gun with an overload phenomenon, if through the target discharge gun temperature prediction model, it is predicted that the working temperature of the target discharge gun during the running time of the target discharge gun does not remain within the qualified threshold of the discharge gun working temperature, or it is predicted that the dynamic current value to be analyzed does not remain within the standard discharge current threshold, it is determined that the target discharge gun is in predicted overload;

[0092] If, during the process of real-time acquisition and processing of the associated parameters of the target discharge gun, the operating temperature of the target discharge gun does not remain within the qualified threshold of the discharge gun operating temperature, or the real-time acquired current of the target discharge gun does not remain within the standard discharge current threshold, it is determined that the target discharge gun is in real-time overload;

[0093] Integrate the fuzzy PID module for the target discharge gun. If the target discharge gun is in predicted overload, based on the fuzzy PID module, perform predicted overload protection on the target discharge gun;

[0094] Among them, the predicted overload protection is to limit the discharge current output of the target discharge gun and regulate the coolant flow rate of the target discharge gun through the fuzzy PID module to ensure that the coolant flow rate of the target discharge gun always remains within the standard coolant flow threshold;

[0095] If the target discharge gun is in real-time overload, based on the fuzzy PID module, perform real-time overload protection on the target discharge gun;

[0096] Among them, the real-time overload protection is to immediately cut off the power of the target discharge gun through the fuzzy PID module.

[0097] It should be noted that the overload of the discharge gun includes predicted overload and real-time overload. The predicted overload is obtained by acquiring the predicted data of the operating temperature through the model and combining the calculated current value to determine whether there is an overload situation. While the real-time overload is judged by real-time monitoring of the operating temperature and current value of the discharge gun. Predicted overload needs to be prevented, including restricting power operation. Limiting the current to a small probability and ensuring full-power operation of the cooling system. While real-time overload requires direct power-off to prevent harm caused by overload.

[0098] As Figure 3 shown, the second aspect of the present invention also provides an adaptive temperature control regulation and overload protection system for a discharge gun. The adaptive temperature control regulation and overload protection system includes a memory 31 and a processor 32. The memory 31 stores an adaptive temperature control regulation and overload protection method. When the adaptive temperature control regulation and overload protection method is executed by the processor 32, the following steps are implemented:

[0099] Collect the associated parameters of the discharge gun and perform data preprocessing on the associated parameters of the discharge gun to obtain the preprocessed associated parameters of the discharge gun;

[0100] Combine the preprocessed associated parameters of the discharge gun and the LSTM algorithm model to construct a target discharge gun temperature prediction model;

[0101] Combine the target discharge gun temperature prediction model to perform overload prediction determination on the target discharge gun and perform fuzzy PID temperature control regulation on the overloaded target discharge gun;

[0102] In the target discharge gun, an adaptive temperature control adjustment of the target discharge gun is performed through an adaptive optimization module in combination with a fuzzy PID module.

[0103] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An adaptive temperature control regulation and overload protection method for a discharge gun, characterized in that, It includes the following steps: Collect the associated parameters of the discharge gun, and perform data preprocessing on the associated parameters of the discharge gun to obtain the preprocessed associated parameters of the discharge gun; Combine the preprocessed associated parameters of the discharge gun and the LSTM algorithm model to construct a target discharge gun temperature prediction model; Combine the target discharge gun temperature prediction model to perform overload prediction determination on the target discharge gun, and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun; In the target discharge gun, through the adaptive optimization module combined with the fuzzy PID module, perform adaptive temperature control adjustment on the target discharge gun; Among them, the step of combining the target discharge gun temperature prediction model to perform overload prediction determination on the target discharge gun and perform fuzzy PID temperature control adjustment on the overloaded target discharge gun is specifically as follows: Preset the operating time of the target discharge gun, predict the working temperature of the target discharge gun during the operating time of the target discharge gun through the target discharge gun temperature prediction model, and construct a working temperature change curve graph; Perform working temperature change analysis on the working temperature change curve graph, and calculate the dynamic current value of the target discharge gun during the change of the operating time and the change of the working temperature, and calibrate it as the dynamic current value to be analyzed; Based on the associated parameter threshold of the target discharge gun, perform overload analysis on the target discharge gun. If the dynamic current value to be analyzed does not remain within the standard discharge current threshold, it is determined that the target discharge gun has an overload phenomenon; At the same time, if the working temperature of the target discharge gun during the operating time of the target discharge gun does not remain within the qualified threshold of the discharge gun working temperature, it is also determined that the target discharge gun has an overload phenomenon; If the target discharge gun has an overload phenomenon, combine the fuzzy PID temperature control device to perform fuzzy PID temperature control adjustment on the target discharge gun; Among them, the step of performing adaptive temperature control adjustment on the target discharge gun through the adaptive optimization module combined with the fuzzy PID module in the target discharge gun is specifically as follows: In the target discharge gun, connect the adaptive optimization module, where the adaptive optimization module is used to perform adaptive temperature control adjustment on the target discharge gun; Based on the adaptive optimization module, record and store the surrounding environment parameters and historical operation records each time the target discharge gun is in an overload situation, and construct a dynamic adjustment fuzzy rule table according to all the recorded and stored data; Among them, all the working temperatures and discharge currents that the target discharge gun will output corresponding to different surrounding environment parameters and operation records are recorded in the dynamic adjustment fuzzy rule table; Real-time update the dynamic adjustment fuzzy rule table, and introduce the dynamic adjustment fuzzy rule table into the fuzzy PID module for adaptive temperature control adjustment of the target discharge gun.

2. The adaptive temperature control regulation and overload protection method of a discharge gun according to claim 1, wherein The step of collecting the associated parameters of the discharge gun and performing data preprocessing on the associated parameters of the discharge gun to obtain the preprocessed associated parameters of the discharge gun is specifically as follows: Determine the discharge gun, calibrate it as the target discharge gun, obtain the working instruction manual of the target discharge gun, and based on the working instruction manual of the target discharge gun, determine the associated parameter threshold of the target discharge gun; Among them, the associated parameter threshold of the target discharge gun includes the standard discharge current threshold, the standard discharge voltage threshold, the qualified threshold of the discharge gun working temperature, and the standard coolant flow threshold; Determine the discharge object of the discharge gun, calibrate it as the device to be charged, connect the target discharge gun to the device to be charged for charging, and simultaneously preset the acquisition frequency of the associated parameters; Control the target discharge gun to discharge the device to be charged, and during the discharging process, in combination with the acquisition frequency of the associated parameters, perform real-time acquisition and processing of the associated parameters of the target discharge gun to obtain the real-time associated parameters of the target discharge gun; Introduce the moving average filtering algorithm, and based on the moving average filtering algorithm, construct a moving average filtering window. Traverse and slide the real-time associated parameters of the target discharge gun through the moving average filtering window, and during the traversal and sliding process, calculate the mean value of the real-time associated parameters of the target discharge gun within the moving average filtering window, so as to obtain the filtered real-time associated parameters of the target discharge gun, which are calibrated as the preprocessed associated parameters of the discharge gun; 3. An adaptive temperature control regulation and overload protection method for a discharge gun according to claim 1, characterized in that, Combine the preprocessed associated parameters of the discharge gun and the LSTM algorithm model to construct a temperature prediction model for the target discharge gun, specifically: Introduce the LSTM algorithm model and input the preprocessed associated parameters of the discharge gun into the LSTM algorithm model for storage; Determine the time window for analyzing the preprocessed associated parameters of the discharge gun within the LSTM algorithm model, and combine the time window to perform parameter segmentation on the preprocessed associated parameters of the discharge gun to obtain the preprocessed associated parameters of the discharge gun within the time window, which are calibrated as a type of associated parameters of the discharge gun; Divide a type of associated parameters of the discharge gun into a training set and a validation set, and build the model architecture of the LSTM algorithm model. Among them, the method for building the model architecture of the LSTM algorithm model is to obtain the historical data network, and retrieve and output the model architecture of the LSTM algorithm model with the highest usage rate when performing LSTM analysis on the target discharge gun in the historical data network; Determine the loss function in the LSTM algorithm model after building the model architecture, calibrate it as the target loss function, and perform training processing on the training set based on the target loss function. At the same time, perform loss curve analysis in combination with the validation set during the training process; If the coincidence rate of the loss curves obtained from the training set and the validation set is less than the preset value, perform hyperparameter tuning during the training process until the coincidence rate of the loss curves obtained from the training set and the validation set is not less than the preset value to obtain the temperature prediction model of the target discharge gun; 4. The adaptive temperature control regulation and overload protection method of a discharge gun according to claim 1, wherein If there is an overload phenomenon in the target discharge gun, then in combination with the fuzzy PID temperature control device, perform fuzzy PID temperature control adjustment on the target discharge gun, specifically: For the discharge gun with an overload phenomenon, if through the temperature prediction model of the target discharge gun, it is predicted that the operating temperature of the target discharge gun during the operating time of the target discharge gun does not remain within the qualified threshold of the discharge gun operating temperature, or it is predicted that the dynamic current value to be analyzed does not remain within the standard discharge current threshold, then it is determined that the target discharge gun is in predicted overload; If during the process of real-time acquisition and processing of the associated parameters of the target discharge gun, there is a situation where the operating temperature of the target discharge gun does not remain within the qualified threshold of the discharge gun operating temperature, or the real-time acquisition current of the target discharge gun does not remain within the standard discharge current threshold, then it is determined that the target discharge gun is in real-time overload; Integrate the fuzzy PID module for the target discharge gun. If the target discharge gun is predicted to be overloaded, based on the fuzzy PID module, perform predictive overload protection on the target discharge gun; Among them, the predictive overload protection is to limit the discharge current output of the target discharge gun, and regulate the coolant flow rate of the target discharge gun through the fuzzy PID module to ensure that the coolant flow rate of the target discharge gun always remains within the coolant standard flow rate threshold; If the target discharge gun is in real-time overload, based on the fuzzy PID module, perform real-time overload protection on the target discharge gun; Among them, the real-time overload protection is to immediately cut off the power supply of the target discharge gun through the fuzzy PID module.

5. An adaptive temperature control regulation and overload protection system for a discharge gun, characterized in that, The adaptive temperature control regulation and overload protection system includes a memory and a processor. The memory stores an adaptive temperature control regulation and overload protection method program. When the adaptive temperature control regulation and overload protection method program is executed by the processor, the steps of the adaptive temperature control regulation and overload protection method described in any one of claims 1-4 are implemented.

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