Heat exchange equipment management system and method based on Internet of Things monitoring

Abstract

The invention discloses a heat exchange equipment management system and method based on Internet of Things monitoring, and relates to the technical field of heat exchange equipment management.The heat exchange equipment management method comprises the steps that S10, a temperature monitoring device, an external heat exchange device and an ablation device are electrically connected with a processing terminal; s20, the real-time action index of the external heat exchange device is analyzed; s30, the action time of the external heat exchange device is determined; and S40, the set parameters of the external heat exchange device at the determined action time point are analyzed. According to the method, the temperature change condition of the esophagus of the patient can be effectively regulated and controlled according to the calculated mutation index when the failure degree of the ablation device is low and the degree of other abnormal physiological reactions of the patient in the atrial fibrillation ablation operation is low, and meanwhile the temperature change condition of the esophagus of the patient can be effectively regulated and controlled according to the calculated accumulated change condition of the mutation index. And the real-time temperature condition of the esophagus of the patient is accurately monitored according to the real-time action index of the external heat exchange device.

Description

Technical Field

[0001] The present invention relates to the technical field of heat exchange equipment management, and in particular to a heat exchange equipment management system and method based on Internet of Things monitoring. Background Art

[0002] The esophageal temperature control technology for AF ablation is based on the regulation of energy during AF ablation with the ensoETM device. The ensoETM is a disposable silicone temperature control tube that enters the patient through the esophagus, similar to a standard orogastric tube. The device is connected to an external heat exchange device (such as Blanketrol III), creating a closed-loop system for active temperature management.

[0003] Nowadays, when an external heat exchange device realizes active temperature control management, it is necessary to consider the impact of external factors on the temperature control results. External factors include the temperature that the patient's esophagus can withstand, the patient's abnormal physiological reactions during atrial fibrillation ablation, and the device's usage status, etc. In the prior art, the external heat exchange device often takes effect when the patient's esophagus has already suffered damage from freezing energy or thermal energy, reducing the effectiveness of the external heat exchange device. Summary of the invention

[0004] The purpose of the present invention is to provide a heat exchange equipment management system and method based on Internet of Things monitoring to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a heat exchange equipment management method based on Internet of Things monitoring, the method comprising:

[0006] S10: placing temperature probes at both ends of the inner cavity of the ensoETM device to obtain a temperature monitoring device, inserting the temperature monitoring device into the patient's body through the esophagus, connecting the temperature monitoring device to the external heat exchange device through a silicone tube, and the temperature monitoring device, the external heat exchange device, and the ablation device are electrically connected to the treatment terminal respectively;

[0007] S20: The temperature monitoring device transmits the collected real-time temperature of the patient's esophagus during the atrial fibrillation ablation process to the processing terminal, the ablation device transmits the set real-time ablation parameters to the processing terminal, and the processing terminal analyzes the real-time action index of the external heat exchange device according to the transmitted information;

[0008] S30: Based on the analyzed real-time action index of the external heat exchange device and the ablation model constructed according to the ablation parameters, the action time of the external heat exchange device is determined, and the processing terminal transmits the determined action time to the external heat exchange device;

[0009] S40: The processing terminal analyzes the setting parameters of the external heat exchange device at the determined action time point, and feeds back the analysis result to the external heat exchange device;

[0010] S50: The external heat exchange device automatically sets the heat exchange parameters according to the analysis result transmitted by the processing terminal.

[0011] Further, the S20 includes:

[0012] Ablation parameters include the frequency of the RF electrode alternating current, the electric field strength of the microwave electromagnetic field, and the argon gas pressure value;

[0013] The processing terminal analyzes the real-time action index of the external heat exchange device according to the transmission information. The specific analysis formula is:

[0014] When cryoablation is used to perform atrial fibrillation ablation on a patient, the action index of the external heat exchange device at time t0+(j-1)*d is:

[0015]

[0016] When a patient undergoes atrial fibrillation ablation surgery using thermal ablation, the action index of the external heat exchange device at time t0+(j-1)*d is:

[0017]

[0018] Wherein, t represents the time value, t0 represents the start time value of the atrial fibrillation ablation procedure, i = 1, 2, ..., n represents the number corresponding to each type of cryoablation method, n represents the total number of cryoablation methods, p = 1, 2, ..., q represents the number corresponding to each type of thermal ablation method, q represents the total number of thermal ablation methods, k i represents the adjustment coefficient corresponding to the i-th type of cryoablation method, k p represents the adjustment coefficient corresponding to the pth type of thermal ablation method, j = 1, 2, ..., m, represents the number corresponding to the number of temperature acquisitions of the temperature monitoring device, m represents the total number, d represents the temperature acquisition interval of the temperature monitoring device, It indicates the temperature value of the patient's esophagus collected by the temperature monitoring device before the atrial fibrillation ablation surgery. They represent the temperature values ​​of the patient's esophagus collected by the front-end temperature probe and the rear-end temperature probe in the temperature monitoring device at time t0+(j-1)*d, respectively. i H represents the lowest temperature that the patient's esophagus can withstand when using the i-th type of cryoablation method. p It indicates the maximum temperature value that the patient's esophagus can withstand when using the pth type of thermal ablation method.

[0019] Further, the S30 includes:

[0020] S301: using ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputting into a linear model, and constructing ablation models corresponding to various ablation methods;

[0021] When cryoablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is:

[0022]

[0023] The ablation model corresponding to the i-th type of cryoablation method is:

[0024]

[0025] When thermal ablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is:

[0026]

[0027] The ablation model corresponding to the p-th type of thermal ablation method is:

[0028]

[0029] in, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used, f i , b i represents the weight and bias of the ablation model when the i-th type of cryoablation method is used, f p , b p Indicates the weight and bias of the ablation model when the pth type of thermal ablation method is used. represents the ablation parameters set by the ablation device at time t0+(j-1)*d when the i-th type of cryoablation method is used, represents the ablation parameters set by the corresponding ablation device at time t0+(j-1)*d when the p-th type of thermal ablation method is adopted;

[0030] S302: According to the constructed ablation model, the mutation index of the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is calculated. The specific calculation formula is:

[0031]

[0032]

[0033] in, represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used, It represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used;

[0034] S303: If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.8, and or When , the action time of the external heat exchange device is t0+j*d;

[0035] If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.9, the action time of the external heat exchange device is t0+j*d.

[0036] Through the action index of the external heat exchange device and the cumulative change of the real-time temperature coefficient mutation index of the patient's esophagus, it is beneficial to accurately monitor the real-time temperature of the patient's esophagus, thereby ensuring the smooth progress of atrial fibrillation ablation surgery while protecting the patient's esophagus from damage by heat, cold or freezing energy.

[0037] Further, the S40 includes:

[0038] S401: According to or determining a temperature adjustment value for an external heat exchange device;

[0039] S402: Based on the real-time historical data of the external heat exchange device, a relationship model is constructed between the flow rate set for the external heat exchange device and the temperature change value of the external heat exchange device at the set flow rate within time d, the determined temperature change value of the external heat exchange device is input into the constructed relationship model, and the flow rate set for the external heat exchange device is output. The setting parameters of the external heat exchange device are determined according to the constructed relationship model, which can further eliminate the influence of the equipment operation status of the external heat exchange device on the temperature control result, and is conducive to the precise control of the temperature of the patient's esophagus.

[0040] Further, the S50 includes:

[0041] The processing terminal feeds back the flow rate set by the external heat exchange device output by the relational model to the external heat exchange device, and the external heat exchange device automatically sets the heat exchange parameters of the external heat exchange device according to the received feedback data.

[0042] A heat exchange equipment management system based on Internet of Things monitoring, the system comprising an action index analysis module, an action time determination module, a setting parameter analysis module and an external heat exchange device management module;

[0043] The action index analysis module is used to analyze the real-time action index of the external heat exchange device according to the transmission information received by the processing terminal;

[0044] The action time determination module is used to determine the action time of the external heat exchange device;

[0045] The setting parameter analysis module is used to analyze the setting parameters of the external heat exchange device at a determined action time point;

[0046] The external heat exchange device management module is used to automatically set the heat exchange parameters of the external heat exchange device.

[0047] Further, the action index analysis module includes a parameter acquisition unit, a first analysis unit and a second analysis unit;

[0048] The parameter acquisition unit acquires the real-time temperature value of the patient's esophagus during the atrial fibrillation ablation process acquired by the temperature monitoring device, and the real-time ablation parameters set by the ablation device;

[0049] The first analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit when the cryoablation method is used to perform atrial fibrillation ablation on the patient;

[0050] When the thermal ablation method is used to perform atrial fibrillation ablation surgery on a patient, the second analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit.

[0051] Further, the action time determination module includes an ablation model construction unit, a mutation index calculation unit and an action time determination unit;

[0052] The ablation model building unit uses ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputs the linear model, and builds ablation models corresponding to various ablation methods;

[0053] The mutation index calculation unit calculates the real-time mutation index of the temperature variation coefficient of the patient's esophagus according to the ablation model constructed by the ablation model construction unit and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods;

[0054] The action time determination unit determines the action time of the external heat exchange device according to the set determination condition.

[0055] Further, the setting parameter analysis module includes a temperature adjustment value determination unit and a heat exchange parameter analysis unit;

[0056] The temperature adjustment value determination unit determines the temperature adjustment value of the external heat exchange device according to the temperature variation coefficient of the patient's esophagus under various ablation methods and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods;

[0057] The heat exchange parameter analysis unit constructs a relationship model between the flow rate set for the external heat exchange device and the temperature change value corresponding to the set flow rate of the external heat exchange device within a period of time based on the real-time historical data of the external heat exchange device, and determines the flow rate set for the external heat exchange device based on the constructed relationship model.

[0058] Furthermore, the external heat exchange device management module automatically sets the heat exchange parameters of the external heat exchange device according to the flow rate set by the external heat exchange device determined by the heat exchange parameter analysis unit.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1. The present invention constructs ablation models corresponding to various ablation methods according to ablation parameters and the temperature variation coefficient of the patient's esophagus, and realizes the calculation of the real-time mutation index of the temperature variation coefficient of the patient's esophagus. According to the calculation results, when the degree of failure of the ablation device is low and the degree of other abnormal physiological reactions of the patient during the atrial fibrillation ablation operation is low, the temperature variation of the patient's esophagus can be effectively regulated, thereby further improving the use effect of the system. At the same time, according to the cumulative changes of the calculation results and the real-time action index of the external heat exchange device, the real-time temperature of the patient's esophagus can be accurately monitored.

[0061] 2. The present invention determines the setting parameters of the external heat exchange device according to the constructed relationship model. The relationship model is constructed through real-time historical data, which can further eliminate the influence of the equipment operation state of the external heat exchange device on the temperature control result.

[0062] 3. The present invention realizes intelligent analysis of the heat exchange parameters of the external heat exchange device by inputting the determined temperature adjustment value into the relationship model. The external heat exchange device automatically sets the heat exchange parameters analyzed intelligently at a determined action time, thereby further improving the intelligent management effect of the heat exchange device. This process can ensure the smooth progress of the patient's atrial fibrillation ablation surgery while protecting the patient's esophagus from damage by heat, cold or freezing energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A schematic diagram of the workflow of a heat exchange equipment management system and method based on Internet of Things monitoring according to the present invention;

[0064] Figure 2 The present invention is a schematic structural diagram of the working principle of a heat exchange equipment management system and method based on Internet of Things monitoring. DETAILED DESCRIPTION

[0065] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0066] Example: Figure 1 and Figure 2 As shown, the present invention provides a heat exchange equipment management system and method technical solution based on Internet of Things monitoring, a heat exchange equipment management method based on Internet of Things monitoring, the method comprising:

[0067] S10: Place temperature probes at both ends of the inner cavity of the ensoETM device to obtain a temperature monitoring device, and insert the temperature monitoring device into the patient's body through the esophagus. The specific placement position of the temperature monitoring device is: the core position next to the patient's heart's great blood vessels and left atrium. The temperature probe placed close to the core position in the temperature monitoring device is the rear-end temperature probe, and the temperature probe placed away from the core position in the temperature monitoring device is the front-end temperature probe. The temperature monitoring device is connected to the external heat exchange device through a silicone tube. The temperature monitoring device, the external heat exchange device, and the ablation device (ablation devices include argon-helium knife, radiofrequency ablation device, microwave ablation device, etc.) are electrically connected to the processing terminal respectively;

[0068] S20: The temperature monitoring device transmits the collected real-time temperature of the patient's esophagus during the atrial fibrillation ablation process to the processing terminal, the ablation device transmits the set real-time ablation parameters to the processing terminal, and the processing terminal analyzes the real-time action index of the external heat exchange device according to the transmitted information;

[0069] The S20 includes:

[0070] Ablation parameters include the frequency of the RF electrode alternating current, the electric field strength of the microwave electromagnetic field, and the argon gas pressure value;

[0071] The processing terminal analyzes the real-time action index of the external heat exchange device according to the transmission information. The specific analysis formula is:

[0072] When cryoablation is used to perform atrial fibrillation ablation on a patient, the action index of the external heat exchange device at time t0+(j-1)*d is:

[0073]

[0074] When a patient undergoes atrial fibrillation ablation surgery using thermal ablation, the action index of the external heat exchange device at time t0+(j-1)*d is:

[0075]

[0076] Wherein, t represents the time value, t0 represents the start time value of the atrial fibrillation ablation procedure, i = 1, 2, ..., n represents the number corresponding to each type of cryoablation method, n represents the total number of cryoablation methods, p = 1, 2, ..., q represents the number corresponding to each type of thermal ablation method, q represents the total number of thermal ablation methods, k i represents the adjustment coefficient corresponding to the i-th type of cryoablation method, k p represents the adjustment coefficient corresponding to the pth type of thermal ablation method, j = 1, 2, ..., m, represents the number corresponding to the number of temperature acquisitions of the temperature monitoring device, m represents the total number, d represents the temperature acquisition interval of the temperature monitoring device, It indicates the temperature value of the patient's esophagus collected by the temperature monitoring device before the atrial fibrillation ablation surgery. They represent the temperature values ​​of the patient's esophagus collected by the front-end temperature probe and the rear-end temperature probe in the temperature monitoring device at time t0+(j-1)*d, respectively. i H represents the lowest temperature that the patient's esophagus can withstand when using the i-th type of cryoablation method. p It indicates the maximum temperature that the patient's esophagus can withstand when using the pth type of thermal ablation method. represents the action index of the external heat exchange device at time t0+(j-1)*d when the pth type of thermal ablation method is used, represents the action index of the external heat exchange device corresponding to the time t0+(j-1)*d when the i-th type of cryoablation method is adopted;

[0077] S30: Based on the analyzed real-time action index of the external heat exchange device and the ablation model constructed according to the ablation parameters, the action time of the external heat exchange device is determined, and the processing terminal transmits the determined action time to the external heat exchange device;

[0078] S30 includes:

[0079] S301: using ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputting into a linear model, and constructing ablation models corresponding to various ablation methods;

[0080] When cryoablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is:

[0081]

[0082] The ablation model corresponding to the i-th type of cryoablation method is:

[0083]

[0084] When thermal ablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is:

[0085]

[0086] The ablation model corresponding to the p-th type of thermal ablation method is:

[0087]

[0088] in, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used, f i , b i represents the weight and bias of the ablation model when the i-th type of cryoablation method is used, f p , b p Indicates the weight and bias of the ablation model when the pth type of thermal ablation method is used. represents the ablation parameters set by the ablation device at time t0+(j-1)*d when the i-th type of cryoablation method is used, represents the ablation parameters set by the corresponding ablation device at time t0+(j-1)*d when the p-th type of thermal ablation method is adopted;

[0089] S302: According to the constructed ablation model, the mutation index of the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is calculated. The specific calculation formula is:

[0090]

[0091]

[0092] in, It represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used. The theoretical temperature variation coefficient refers to the temperature variation coefficient of the patient's esophagus when the ablation device does not malfunction and the patient does not have other abnormal physiological reactions during the atrial fibrillation ablation surgery. It represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used;

[0093] S303: If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.8, and or When , the action time of the external heat exchange device is t0+j*d;

[0094] If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.9, the action time of the external heat exchange device is t0+j*d;

[0095] S40: The processing terminal analyzes the setting parameters of the external heat exchange device at the determined action time point, and feeds back the analysis result to the external heat exchange device;

[0096] S40 includes:

[0097] S401: According to or determining a temperature adjustment value for an external heat exchange device;

[0098] S402: constructing a relationship model between the flow rate set by the external heat exchange device and the temperature change value corresponding to the set flow rate of the external heat exchange device within the time d according to the real-time historical data of the external heat exchange device, wherein the historical data refers to the flow rate set by the external heat exchange device and the temperature change value corresponding to the set flow rate of the external heat exchange device within the time d, inputting the determined temperature change value of the external heat exchange device into the constructed relationship model, and outputting the flow rate set by the external heat exchange device;

[0099] S50: The external heat exchange device automatically sets the heat exchange parameters according to the analysis results transmitted by the processing terminal;

[0100] S50 includes:

[0101] The processing terminal feeds back the flow rate set by the external heat exchange device output by the relationship model to the external heat exchange device, and the external heat exchange device automatically sets the heat exchange parameters of the external heat exchange device according to the received feedback data, and the heat exchange parameters refer to the flow rate set by the external heat exchange device.

[0102] A heat exchange equipment management system based on Internet of Things monitoring, the system includes an action index analysis module, an action time determination module, a setting parameter analysis module and an external heat exchange device management module;

[0103] The action index analysis module is used to analyze the real-time action index of the external heat exchange device according to the transmission information received by the processing terminal;

[0104] The action index analysis module includes a parameter acquisition unit, a first analysis unit and a second analysis unit;

[0105] The parameter acquisition unit acquires the real-time temperature value of the patient's esophagus during the atrial fibrillation ablation process acquired by the temperature monitoring device, and the real-time ablation parameters set by the ablation device;

[0106] The first analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit when the atrial fibrillation ablation surgery is performed on the patient by using the cryoablation method;

[0107] The second analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit when performing atrial fibrillation ablation surgery on the patient using the thermal ablation method;

[0108] The action time determination module is used to determine the action time of the external heat exchange device;

[0109] The action time determination module includes an ablation model construction unit, a mutation index calculation unit and an action time determination unit;

[0110] The ablation model building unit uses ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputs the linear model, and builds ablation models corresponding to various ablation methods;

[0111] The mutation index calculation unit calculates the real-time mutation index of the temperature variation coefficient of the patient's esophagus according to the ablation model constructed by the ablation model construction unit and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods;

[0112] The action time determination unit determines the action time of the external heat exchange device according to the set determination conditions;

[0113] The setting parameter analysis module is used to analyze the setting parameters of the external heat exchange device at a determined action time point;

[0114] Setting the parameter analysis module includes a temperature adjustment value determination unit and a heat exchange parameter analysis unit;

[0115] The temperature adjustment value determination unit determines the temperature adjustment value of the external heat exchange device according to the temperature variation coefficient of the patient's esophagus under various ablation methods and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods;

[0116] The heat exchange parameter analysis unit constructs a relationship model between the flow rate set for the external heat exchange device and the temperature change value corresponding to the set flow rate of the external heat exchange device within a period of time according to the real-time historical data of the external heat exchange device, and determines the flow rate set for the external heat exchange device according to the constructed relationship model;

[0117] The external heat exchange device management module is used to automatically set the heat exchange parameters of the external heat exchange device;

[0118] The external heat exchange device management module automatically sets the heat exchange parameters of the external heat exchange device according to the flow rate set by the external heat exchange device determined by the heat exchange parameter analysis unit.

[0119] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A heat exchange equipment management method based on Internet of Things monitoring, characterized in that: The method comprises: S10: placing temperature probes at both ends of the inner cavity of the ensoETM device to obtain a temperature monitoring device, inserting the temperature monitoring device into the patient's body through the esophagus, connecting the temperature monitoring device to the external heat exchange device through a silicone tube, and the temperature monitoring device, the external heat exchange device, and the ablation device are electrically connected to the treatment terminal respectively; S20: The temperature monitoring device transmits the collected real-time temperature of the patient's esophagus during the atrial fibrillation ablation process to the processing terminal, the ablation device transmits the set real-time ablation parameters to the processing terminal, and the processing terminal analyzes the real-time action index of the external heat exchange device according to the transmitted information; S30: Based on the analyzed real-time action index of the external heat exchange device and the ablation model constructed according to the ablation parameters, the action time of the external heat exchange device is determined, and the processing terminal transmits the determined action time to the external heat exchange device; S40: The processing terminal analyzes the setting parameters of the external heat exchange device at the determined action time point, and feeds back the analysis result to the external heat exchange device; S50: The external heat exchange device automatically sets the heat exchange parameters according to the analysis result transmitted by the processing terminal.

2. A heat exchange equipment management method based on Internet of Things monitoring according to claim 1, characterized in that: The S20 includes: Ablation parameters include the frequency of the RF electrode alternating current, the electric field strength of the microwave electromagnetic field, and the argon gas pressure value; The processing terminal analyzes the real-time action index of the external heat exchange device according to the transmission information. The specific analysis formula is: When cryoablation is used to perform atrial fibrillation ablation on a patient, the action index of the external heat exchange device at time t0+(j-1)*d is: When a patient undergoes atrial fibrillation ablation surgery using thermal ablation, the action index of the external heat exchange device at time t0+(j-1)*d is: Wherein, t represents the time value, t0 represents the start time value of the atrial fibrillation ablation procedure, i = 1, 2, ..., n represents the number corresponding to each type of cryoablation method, n represents the total number of cryoablation methods, p = 1, 2, ..., q represents the number corresponding to each type of thermal ablation method, q represents the total number of thermal ablation methods, k i represents the adjustment coefficient corresponding to the i-th type of cryoablation method, k p represents the adjustment coefficient corresponding to the pth type of thermal ablation method, j = 1, 2, ..., m, represents the number corresponding to the number of temperature acquisitions of the temperature monitoring device, m represents the total number, d represents the temperature acquisition interval of the temperature monitoring device, It indicates the temperature value of the patient's esophagus collected by the temperature monitoring device before the atrial fibrillation ablation surgery. They represent the temperature values ​​of the patient's esophagus collected by the front-end temperature probe and the rear-end temperature probe in the temperature monitoring device at time t0+(j-1)*d, respectively. i H represents the lowest temperature that the patient's esophagus can withstand when using the i-th type of cryoablation method. p It indicates the maximum temperature value that the patient's esophagus can withstand when using the pth type of thermal ablation method.

3. A heat exchange equipment management method based on Internet of Things monitoring according to claim 2, characterized in that: The S30 includes: S301: using ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputting into a linear model, and constructing ablation models corresponding to various ablation methods; When cryoablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is: The ablation model corresponding to the i-th type of cryoablation method is: When thermal ablation is used to perform atrial fibrillation ablation on a patient, the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is: The ablation model corresponding to the p-th type of thermal ablation method is: in, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used, represents the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used, f i , b i represents the weight and bias of the ablation model when the i-th type of cryoablation method is used, f p , b p Indicates the weight and bias of the ablation model when the pth type of thermal ablation method is used. represents the ablation parameters set by the ablation device at time t0+(j-1)*d when the i-th type of cryoablation method is used, represents the ablation parameters set by the corresponding ablation device at time t0+(j-1)*d when the p-th type of thermal ablation method is adopted; S302: According to the constructed ablation model, the mutation index of the temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d is calculated. The specific calculation formula is: in, represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used, It represents the theoretical temperature variation coefficient of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the pth type of thermal ablation method is used. It represents the temperature variation coefficient mutation index of the patient's esophagus at time t0+(j-1)*d when the i-th type of cryoablation method is used; S303: If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.8, and or When , the action time of the external heat exchange device is t0+j*d; If the action index of the external heat exchange device at t0+(j-1)*d is greater than 0.9, the action time of the external heat exchange device is t0+j*d.

4. A heat exchange equipment management method based on Internet of Things monitoring according to claim 3, characterized in that: The S40 includes: S401: According to or determining a temperature adjustment value for an external heat exchange device; S402: Based on the real-time historical data of the external heat exchange device, a relationship model is constructed between the flow rate set for the external heat exchange device and the temperature change value of the external heat exchange device corresponding to the set flow rate within time d, the determined temperature change value of the external heat exchange device is input into the constructed relationship model, and the flow rate set for the external heat exchange device is output.

5. A heat exchange equipment management method based on Internet of Things monitoring according to claim 4, characterized in that: The S50 includes: The processing terminal feeds back the flow rate set by the external heat exchange device output by the relational model to the external heat exchange device, and the external heat exchange device automatically sets the heat exchange parameters of the external heat exchange device according to the received feedback data.

6. A heat exchange equipment management system based on Internet of Things monitoring applied to the heat exchange equipment management method based on Internet of Things monitoring according to any one of claims 1 to 5, characterized in that: The system includes an action index analysis module, an action time determination module, a setting parameter analysis module and an external heat exchange device management module; The action index analysis module is used to analyze the real-time action index of the external heat exchange device according to the transmission information received by the processing terminal; The action time determination module is used to determine the action time of the external heat exchange device; The setting parameter analysis module is used to analyze the setting parameters of the external heat exchange device at a determined action time point; The external heat exchange device management module is used to automatically set the heat exchange parameters of the external heat exchange device.

7. A heat exchange equipment management system based on Internet of Things monitoring according to claim 6, characterized in that: The action index analysis module includes a parameter acquisition unit, a first analysis unit and a second analysis unit; The parameter acquisition unit acquires the real-time temperature value of the patient's esophagus during the atrial fibrillation ablation process acquired by the temperature monitoring device, and the real-time ablation parameters set by the ablation device; The first analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit when the cryoablation method is used to perform atrial fibrillation ablation on the patient; When the thermal ablation method is used to perform atrial fibrillation ablation surgery on a patient, the second analysis unit analyzes the real-time action index of the external heat exchange device according to the parameters collected by the parameter collection unit.

8. A heat exchange equipment management system based on Internet of Things monitoring according to claim 7, characterized in that: The action time determination module includes an ablation model construction unit, a mutation index calculation unit and an action time determination unit; The ablation model building unit uses ablation parameters and the temperature variation coefficient of the patient's esophagus as training data, inputs the linear model, and builds ablation models corresponding to various ablation methods; The mutation index calculation unit calculates the real-time mutation index of the temperature variation coefficient of the patient's esophagus according to the ablation model constructed by the ablation model construction unit and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods; The action time determination unit determines the action time of the external heat exchange device according to the set determination condition.

9. A heat exchange equipment management system based on Internet of Things monitoring according to claim 8, characterized in that: The setting parameter analysis module includes a temperature adjustment value determination unit and a heat exchange parameter analysis unit; The temperature adjustment value determination unit determines the temperature adjustment value of the external heat exchange device according to the temperature variation coefficient of the patient's esophagus under various ablation methods and the real-time theoretical temperature variation coefficient of the patient's esophagus under various ablation methods; The heat exchange parameter analysis unit constructs a relationship model between the flow rate set for the external heat exchange device and the temperature change value corresponding to the set flow rate of the external heat exchange device within a period of time based on the real-time historical data of the external heat exchange device, and determines the flow rate set for the external heat exchange device based on the constructed relationship model.

10. A heat exchange equipment management system based on Internet of Things monitoring according to claim 9, characterized in that: The external heat exchange device management module automatically sets the heat exchange parameters of the external heat exchange device according to the flow rate of the external heat exchange device determined by the heat exchange parameter analysis unit.

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