A high-frequency electrotome safety system with real-time monitoring function and control method

Abstract

The application discloses a high-frequency electrotome safety system with real-time monitoring function and a control method, relates to the technical field of medical equipment, and comprises: a monitoring unit which collects electrotome output power, current voltage, electrode temperature, tissue impedance and a surgical area image, and the collection frequency is dynamically adjusted according to the surgical stage; a control unit which analyzes multidimensional data, outputs adjustment, early warning and emergency instructions, and coordinates module operation; a power adjustment unit which dynamically adjusts power and adapts to surgical and tissue characteristics; a safety early warning unit which triggers protection through graded early warning; a man-machine interaction unit which displays parameters and supports manual operation; a data storage unit which encrypts and stores data and supports traceability; and a communication unit which transmits data in multiple modes to realize information synchronization. The application realizes real-time monitoring of multiple parameters of the high-frequency electrotome, avoids surgical risks through graded early warning, supports remote monitoring through multiple mode communication, is convenient to operate and adapts to clinical needs, and greatly improves surgical safety and standardization.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and in particular to a high-frequency electrosurgical safety system and control method with real-time monitoring function. Background Technology

[0002] High-frequency electrosurgical units (HFOS), as an indispensable core device in surgical procedures, achieve tissue cutting, coagulation, and ablation through the output of high-frequency current, and are widely used in various departments such as general surgery, obstetrics and gynecology, and orthopedics. The stability and safety of their performance directly affect surgical outcomes and patient safety. Abnormal fluctuations in output power, current, and voltage, excessively high electrode temperatures, and sudden changes in tissue impedance during surgery can all lead to serious complications such as excessive tissue burns and vascular damage, even endangering the patient's life. However, the safety control mechanisms of traditional HFOS have significant limitations. Most devices can only achieve basic power output functions and lack the ability to monitor multi-dimensional key parameters in real time. They rely solely on the clinical experience of medical staff to judge the device's operating status, making it difficult to accurately capture potential risks caused by instantaneous parameter changes.

[0003] The existing monitoring system for high-frequency electrosurgical units has significant shortcomings, with limited parameter monitoring and delayed response. Traditional equipment often only monitors the core parameter of output power, lacking effective monitoring methods for key safety indicators such as operating current, output voltage, electrode temperature, and tissue impedance, thus failing to comprehensively reflect the equipment's operating status and tissue response. Even some high-end equipment with limited parameter monitoring capabilities suffers from low data acquisition frequency and delayed analysis, making it difficult to trigger effective intervention instantly when parameters become abnormal. Furthermore, the wear and contact condition of the electrodes, as components directly in contact with patient tissue, directly impacts surgical safety. However, existing equipment lacks real-time detection of electrode status, allowing continued use even with excessive electrode wear or poor contact, which can easily lead to excessively high local temperatures and tissue burns. In addition, environmental factors such as temperature and humidity, flammable gas concentration, and electromagnetic interference in the surgical environment can affect the operational stability of the high-frequency electrosurgical unit and even pose safety hazards. However, existing systems do not incorporate environmental parameters into their safety assessment systems, further reducing surgical safety.

[0004] The precision of safety warnings and power adjustment is insufficient, and data management and communication mechanisms also have deficiencies. Traditional high-frequency electrosurgical units often rely on single-threshold alarms, lacking a tiered warning strategy. The same alarm method is used regardless of risk level, easily leading to misjudgment or neglect of critical warnings by medical staff. Power adjustment is mostly manually set to fixed values, unable to dynamically adjust based on real-time changes in tissue impedance. When tissue impedance decreases, excessive power can burn tissue; when impedance increases, insufficient power may affect surgical outcomes. Furthermore, monitoring data, parameter adjustment records, and warning events during surgery lack systematic encrypted storage and traceability mechanisms, making data prone to loss or leakage, hindering postoperative review and tracing medical disputes. Poor communication channels between doctors and patients and inadequate remote monitoring mean that information cannot be promptly synchronized to relevant medical staff when safety issues arise during surgery, resulting in weak remote guidance and emergency intervention capabilities. These problems collectively lead to insufficient safety controllability of traditional high-frequency electrosurgical units, failing to meet the demands of modern surgery for precision, intelligence, and safety. Summary of the Invention

[0005] This invention proposes a high-frequency electrosurgical safety system and control method with real-time monitoring function to solve the problems mentioned in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a high-frequency electrosurgical safety system with real-time monitoring function, comprising the following modules: The monitoring unit integrates a power sensor, current and voltage detector, electrode temperature sensor, tissue impedance monitor, and surgical area camera to collect high-frequency electrosurgical unit operating parameters, tissue impedance data, and surgical area image information in real time. The control unit is equipped with a high-performance processor and a dedicated safety control algorithm. It receives multi-dimensional data from the monitoring unit, performs analysis and logical judgment, outputs power adjustment, safety warning and emergency control commands, and coordinates the collaborative work of each module. The power adjustment unit connects the control unit to the high-frequency electrosurgical unit's power output terminal. It dynamically adjusts the output power according to the control unit's instructions, supporting both continuous and graded adjustment modes. The safety early warning unit has a built-in hierarchical early warning mechanism. Based on the risk assessment results of the control unit, it triggers different levels of early warning through audible and visual alarms and vibration prompts, and simultaneously displays the cause of the early warning and handling suggestions. The human-computer interaction unit is equipped with a high-definition touch screen and a voice broadcast module, which displays the electrosurgical working parameters, monitoring data, risk level and operation instructions in real time. It supports manual input of surgical parameters and adjustment of warning thresholds, and the voice module broadcasts key operation prompts and warning information. The data storage unit adopts an encrypted storage architecture to classify and store surgical types, operating parameters, real-time monitoring data, early warning event records, and system operation logs. It supports long-term data traceability and multi-terminal export, and has data backup and recovery functions. The communication unit supports wired Ethernet, wireless Wi-Fi, and Bluetooth multi-mode communication, enabling real-time data transmission between the control unit and the hospital's surgical management system and medical staff's mobile terminals. It also facilitates timely synchronization of surgical data and safety events, and supports remote monitoring and parameter adjustment.

[0007] Furthermore, it also includes an environmental monitoring module that integrates temperature and humidity sensors, combustible gas detectors, and electromagnetic interference detectors. It collects real-time data on the temperature, humidity, combustible gas concentration in the operating room air, and the intensity of surrounding electromagnetic interference. The environmental data is transmitted to the control unit and analyzed in conjunction with the electrosurgical unit's operating parameters. When the environmental parameters exceed the safe range, an environmental adaptation warning is triggered, prompting medical staff to adjust the environmental conditions.

[0008] Furthermore, it also includes an electrode status detection module, which has a built-in electrode impedance detector, wear degree identifier and contact pressure sensor to detect the contact status between the electrode and the tissue, the wear degree of the electrode tip and the contact pressure in real time. When the electrode wear exceeds the standard, poor contact or abnormal pressure is detected, the status information is immediately transmitted to the control unit to trigger electrode maintenance reminder or power reduction protection.

[0009] Furthermore, the safety risk assessment of the control unit adopts a multi-parameter weighted fusion algorithm, and the calculation expression is as follows:

[0010] Where R represents the safety risk level value. Weighting for power influence. The weighting of tissue impedance influences The weighting of electrode temperature effect The weighting is affected by the operating current. The weighting of the output voltage effect is 1, and the sum of the five factors is 1; P is the ratio of actual output power to rated power, Z is the deviation coefficient of actual tissue impedance from standard impedance, T is the amplitude coefficient of electrode temperature exceeding the safety threshold, I is the ratio of actual operating current to safe current, and U is the ratio of actual output voltage to safe voltage.

[0011] Furthermore, the power adjustment unit adopts a tissue impedance adaptive adjustment mechanism. Based on the real-time tissue impedance changes collected by the monitoring unit and the impedance adaptation range preset by the surgical type, the output power parameters are dynamically adjusted. At the same time, it supports manual intervention and adjustment by medical staff, with manual adjustment having higher priority than automatic adjustment.

[0012] Furthermore, the safety warning unit's graded warning mechanism is divided into four levels: Levels 0 to 3 are low risk, indicated by a green indicator light and a soft voice prompt; Levels 3 to 6 are medium risk, indicated by a yellow warning light, intermittent buzzer alarm, and screen pop-up prompt; Levels 6 to 8 are high risk, indicated by a red warning light, continuous buzzer alarm, equipment vibration prompt, and automatic power reduction; Levels 8 to 10 are extremely high risk, immediately cutting off power output, initiating an emergency alarm, and sending an emergency notification to the mobile terminals of medical personnel.

[0013] Furthermore, the data storage unit uses AES-256 encryption algorithm for encryption, and stores surgery-related information and system logs in categories. The storage capacity meets the data storage requirements of 1,000 consecutive surgeries. The communication unit supports 5G communication, with a remote transmission latency of no more than 100 milliseconds, and has the function of storing data after network outage and automatically synchronizing it after network recovery.

[0014] Furthermore, this includes the following steps: The power-on self-test procedure is as follows: After the system is powered on, it automatically starts the self-test process. The control unit sequentially detects the working status of the monitoring unit, power regulation unit, safety warning unit, human-machine interaction unit, data storage unit, communication unit and newly added modules, and performs precision calibration on the core components. If the self-test passes, a ready signal is issued. If the self-test fails, a fault alarm is triggered and the faulty module is displayed. In the parameter configuration process, medical staff input the surgical type and set the safety threshold through the human-computer interaction unit. The system automatically matches the initial weight parameters and warning level classification standards according to the surgical type, and supports medical staff to manually adjust them based on clinical experience. The real-time monitoring process involves the monitoring unit collecting data on output power, operating current, output voltage, electrode temperature, and tissue impedance at a set frequency after the surgery begins. The surgical area camera captures the surgical scene in real time, and the environmental monitoring module and electrode status detection module synchronously collect environmental parameters and electrode status information. All data is transmitted to the control unit in real time. In the power adjustment step, the control unit analyzes and processes the received multi-dimensional data, sends a power adjustment command to the power adjustment unit, and the power adjustment unit dynamically adjusts the output power while providing real-time feedback on the adjustment results. The safety early warning process involves the control unit determining the risk level based on the safety risk level value, triggering corresponding early warning measures, and simultaneously recording the time, cause, and handling method of the early warning event. The data recording steps involve the data storage unit storing all monitoring data during the surgical process in real time, classifying and archiving it according to surgical ID and timestamp, while the communication unit synchronizes key data to the hospital surgical management system and the mobile terminals of medical staff in real time. The shutdown process involves the medical staff issuing a shutdown command through the human-computer interaction unit after the surgery. The system first stops power output, performs integrity verification and encrypted backup of the surgical data, generates a surgical safety report, then shuts down the power of each module in sequence, and finally issues a shutdown completion prompt.

[0015] Furthermore, the weight parameters in the parameter configuration step employ an adaptive optimization strategy. The system dynamically adjusts the weight parameters based on the occurrence of safety events for different surgical types in historical surgical data. to The system allows medical staff to manually lock the optimized weight parameters.

[0016] Furthermore, a fault emergency handling sub-step is added to the real-time monitoring step. When a module fault, sensor failure, communication interruption, or abnormal power regulation is detected, the control unit immediately activates the redundancy mechanism, enables the backup sensor or switches the communication mode, reduces the output power to a safe level, triggers a fault warning, records the fault information, generates a fault analysis report, and immediately cuts off the power output if the fault cannot be mitigated by the redundancy mechanism.

[0017] Compared with existing technologies, the beneficial effects of this invention are: In terms of comprehensiveness and real-time monitoring, the system's monitoring unit integrates multiple types of sensors and image acquisition components to achieve synchronous real-time acquisition of core parameters such as output power, operating current, electrode temperature, and tissue impedance. It also covers key information such as surgical area images, environmental parameters, and electrode status, constructing a comprehensive, multi-dimensional monitoring system. The data acquisition frequency is dynamically adjusted according to the surgical stage, ensuring that instantaneous parameter changes are accurately captured, completely changing the traditional single-parameter monitoring and lag-prone response of equipment. The control unit performs real-time analysis and logical judgment of multi-dimensional data, combining multi-parameter weighted fusion algorithms to achieve accurate prediction of safety risks, providing a scientific basis for subsequent power adjustment and safety warnings, allowing medical staff to fully grasp the equipment operation and patient tissue response status.

[0018] In terms of power regulation and safety warnings, the system demonstrates exceptional precision and targeted capabilities. The power regulation unit employs a tissue impedance adaptive adjustment mechanism, dynamically adjusting the output power based on real-time changes in tissue impedance. This achieves a precise match between power and surgical requirements and tissue condition, ensuring surgical effectiveness while preventing excessive burns. The tiered warning mechanism employs a four-level response strategy based on risk level, ranging from minor alerts to emergency power cutoff. Different risk levels correspond to different warning methods and handling measures, preventing excessive alarms from interfering with surgery while ensuring rapid and effective intervention in high-risk situations. The addition of electrode status detection and environmental monitoring modules further expands the safety control boundaries, enabling real-time detection of electrode malfunctions and environmental hazards, proactively mitigating potential risks, and comprehensively enhancing surgical safety.

[0019] In terms of data management and ease of interaction, the system achieves a unified approach to secure data storage and efficient sharing. The data storage unit employs a high-strength encryption algorithm to categorize and store monitoring data, parameter configurations, early warning events, electrode usage records, and other information throughout the entire surgical process. It supports long-term traceability and multi-condition retrieval, ensuring data security and integrity while providing reliable evidence for postoperative review and handling of medical disputes. The communication unit supports multi-mode communication, enabling real-time data synchronization between the system and the hospital's surgical management system and medical staff's mobile terminals. Key information and safety events during the surgical process can be promptly pushed, facilitating remote monitoring and emergency guidance, breaking down the information silos of traditional equipment. The human-computer interaction unit combines a high-definition touchscreen with voice broadcasting, providing convenient and intuitive operation. Key prompts and early warning information are clear and easy to understand, adapting to the operational needs of surgical scenarios and reducing the operational burden on medical staff.

[0020] Furthermore, the improved control methods further ensure the stable operation of the system. The power-on self-test process comprehensively checks the working status of each module and the precision of core components, proactively identifying and troubleshooting faults; the parameter configuration steps support adaptive matching and manual adjustment based on surgical type, balancing standardized and personalized needs; the fault emergency handling sub-steps employ a redundancy mechanism to maintain basic safety functions in the event of a module failure, and immediately cut off power output if the failure cannot be mitigated, ensuring absolute surgical safety. Overall, this invention comprehensively improves the safety and controllability of high-frequency electrosurgical units through all-round monitoring, precise adjustment, hierarchical early warning, secure storage, and efficient interaction, effectively reducing the risk of surgical complications and providing strong support for the precision and intelligent development of surgical procedures. It has broad application value in surgical clinical applications at all levels of hospitals. Attached Figure Description

[0021] Figure 1 This is a schematic block diagram of the high-frequency electrosurgical safety system with real-time monitoring function proposed in this invention; Figure 2 This is a schematic block diagram of the high-frequency electrosurgical unit safety control method with real-time monitoring function proposed in this invention; Figure 3 A bar chart comparing the accuracy of multi-parameter monitoring; Figure 4 A bar chart comparing electrode fault detection rates; Figure 5 A bar chart comparing adaptability to multiple environments. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0024] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0025] Reference Figures 1 to 5 A high-frequency electrosurgical safety system with real-time monitoring function includes the following modules: The monitoring unit integrates a power sensor, current and voltage detector, electrode temperature sensor, tissue impedance monitor, and surgical area camera. It collects data on the output power, working current, output voltage, real-time electrode temperature, tissue impedance changes, and surgical area image information of the high-frequency electrosurgical unit in real time. The acquisition frequency is dynamically adjusted according to the surgical stage to achieve real-time and complete data acquisition. The control unit, as the core of the system, is equipped with a high-performance processor and a dedicated safety control algorithm. It receives multi-dimensional data transmitted from the monitoring unit, performs real-time analysis and logical judgment, outputs power adjustment commands, safety warning signals and emergency control commands, coordinates the work of each module, and maintains the stable operation of the system. The power adjustment unit connects the control unit to the high-frequency electrosurgical unit's power output terminal. It dynamically adjusts the output power according to the control unit's instructions, supports both continuous and graded adjustment modes, adapts to different surgical types and tissue characteristics, and has a power output stability compensation function to suppress the impact of power fluctuations on surgical safety. The safety warning unit has a built-in hierarchical warning mechanism. Based on the risk assessment results of the control unit, it triggers different levels of warnings through sound and light alarms, vibration prompts, etc., and displays the warning reasons and handling suggestions at the same time. In high-risk situations, it automatically triggers power cut-off or power reduction protection. The human-computer interaction unit is equipped with a high-definition touch screen and a voice broadcast module, which displays the electrosurgical working parameters, monitoring data, risk level and operation instructions in real time. It supports manual input of surgical parameters and adjustment of warning thresholds. The voice module can broadcast key operation prompts and warning information to optimize the ease of operation. The data storage unit adopts an encrypted storage architecture to classify and store surgical types, operating parameters, real-time monitoring data, early warning event records, and system operation logs. It supports long-term data traceability and multi-terminal export, and has data backup and recovery functions to ensure data security and integrity. The communication unit supports wired Ethernet, wireless Wi-Fi, and Bluetooth multi-mode communication, enabling real-time data transmission between the control unit and the hospital's surgical management system and medical staff's mobile terminals. It also facilitates timely synchronization of surgical data and safety events, and supports remote monitoring and parameter adjustment.

[0026] This invention also includes an environmental monitoring module, which integrates a temperature and humidity sensor, a combustible gas detector, and an electromagnetic interference detector. It collects the temperature, humidity, combustible gas concentration in the operating room air, and electromagnetic interference intensity of the surrounding environment in real time, transmits the environmental data to the control unit, and analyzes it in conjunction with the electrosurgical unit's operating parameters. When the environmental parameters exceed the safe range, it triggers an environmental adaptation warning, prompting medical staff to adjust the environmental conditions and avoid the impact of environmental factors on the stability of the electrosurgical unit's operation or the safety hazards they may cause.

[0027] This invention also includes an electrode status detection module, which has a built-in electrode impedance detector, wear degree identifier and contact pressure sensor. It can detect the contact status between the electrode and the tissue, the wear degree of the electrode tip and the contact pressure in real time. When the electrode wear exceeds the standard, the contact is poor or the pressure is abnormal, the status information is immediately transmitted to the control unit to trigger the electrode maintenance reminder or power reduction protection to avoid the electrode failure leading to tissue burns and poor surgical results.

[0028] In this invention, the safety risk assessment of the control unit adopts a multi-parameter weighted fusion algorithm, and the calculation expression is as follows:

[0029] Where R is the safety risk level value, which ranges from 0 to 10, with a higher value indicating a higher risk. Weighting for power influence. The weighting of tissue impedance influences The weighting of electrode temperature effect The weighting is affected by the operating current. The output voltage has a weighting effect, and the sum of the five factors is 1, which can be dynamically configured according to the type of surgery; P is the ratio of actual output power to rated power, with a value range of 0 to 2; Z is the deviation coefficient between actual tissue impedance and standard impedance, with a value range of 0 to 2; T is the amplitude coefficient of electrode temperature exceeding the safety threshold, with a value range of 0 to 2; I is the ratio of actual working current to safe current, with a value range of 0 to 2; U is the ratio of actual output voltage to safe voltage, with a value range of 0 to 2. Through comprehensive evaluation of multiple parameters, accurate prediction of safety risks can be achieved.

[0030] In this invention, the power adjustment unit adopts a tissue impedance adaptive adjustment mechanism. Based on the real-time tissue impedance changes collected by the monitoring unit and the impedance adaptation range preset by the surgical type, the output power parameters are dynamically adjusted. When the tissue impedance increases, the output power is gradually increased to maintain the surgical effect. When the tissue impedance decreases, the output power is quickly reduced to avoid excessive burns. The power adjustment response time is no more than 50 milliseconds, and the adjustment accuracy is ±0.1W. At the same time, it supports manual intervention adjustment by medical staff, and manual adjustment has a higher priority than automatic adjustment.

[0031] In this invention, the safety warning unit's graded warning mechanism is divided into four levels: risk levels 0 to 3 indicate low risk, indicated only by a green indicator light on the display screen and a slight voice prompt; levels 3 to 6 indicate medium risk, indicated by a yellow warning light, intermittent buzzer alarm, and screen pop-up prompt, along with simultaneous display of handling suggestions; levels 6 to 8 indicate high risk, indicated by a red warning light, continuous buzzer alarm, equipment vibration prompt, and automatic reduction of output power to a safe range; and levels 8 to 10 indicate extremely high risk, immediately cutting off the electrosurgical unit's power output, activating an emergency alarm, and simultaneously sending an emergency notification to the medical staff's mobile terminal to ensure surgical safety.

[0032] In this invention, the data storage unit uses the AES-256 encryption algorithm to encrypt the stored data. It categorizes and stores basic information of surgical patients, surgical parameter configurations, full-process monitoring data, details of early warning events, electrode usage records, and system maintenance logs. It supports data retrieval by keywords such as surgical time, patient ID, and surgical type. The storage capacity can meet the data storage needs of 1000 consecutive surgeries. The communication unit supports 5G network communication, and the data transmission latency during remote monitoring does not exceed 100 milliseconds. It also has an automatic data storage function when the network is disconnected, and automatically synchronizes the data to the management system after the network is restored.

[0033] This invention includes the following steps: The power-on self-test procedure is as follows: After the system is powered on, it automatically starts the self-test process. The control unit sequentially tests the working status of the monitoring unit, power regulation unit, safety warning unit, human-machine interaction unit, data storage unit, communication unit and newly added modules. It performs precision calibration on core components such as power sensors and current and voltage detectors. If the self-test passes, a ready signal is issued. If the self-test fails, a fault alarm is triggered and the faulty module is displayed. In the parameter configuration process, medical staff input the surgical type (cutting, coagulation, ablation) through the human-computer interaction unit, set the preset power range, safety thresholds including the upper limit of current and voltage, electrode temperature threshold, and tissue impedance threshold. The system automatically matches the initial weight parameters and warning level classification standards according to the surgical type, and supports medical staff to manually adjust the parameters based on clinical experience. The real-time monitoring process involves the monitoring unit collecting data on output power, operating current, output voltage, electrode temperature, and tissue impedance at a set frequency after the surgery begins. The surgical area camera captures the surgical scene in real time, and the environmental monitoring module and electrode status detection module synchronously collect environmental parameters and electrode status information. All data is transmitted to the control unit in real time. In the power adjustment step, the control unit analyzes and processes the received multi-dimensional data, combines the tissue impedance adaptive adjustment mechanism and the safety risk assessment results, and sends a power adjustment command to the power adjustment unit. The power adjustment unit dynamically adjusts the output power to achieve precise matching between the power output and surgical needs and tissue status, while providing real-time feedback on the adjustment results. The safety warning procedure involves the control unit determining the risk level based on the safety risk level value and triggering corresponding warning measures. For low risk, only a prompt is given; for medium to high risk, an alarm is activated and power reduction measures are taken; and for extremely high risk, power output is immediately cut off. The time, cause, and handling method of the warning event are recorded simultaneously. The data recording process involves the data storage unit storing all monitoring data, parameter adjustment records, details of early warning events, and surgical video clips in real time during the operation. The data is archived according to the surgical ID and timestamp to ensure data traceability. At the same time, the communication unit synchronizes key data to the hospital's surgical management system and the mobile terminals of medical staff in real time. The shutdown process involves medical staff issuing a shutdown command through the human-computer interaction unit after the surgery. The system first stops power output, performs integrity verification and encrypted backup of the surgical data, generates a surgical safety report, then shuts down the power of each module in sequence, and finally issues a shutdown completion prompt. The entire process ensures that no data is lost and the equipment is shut down safely.

[0034] In this invention, the weight parameters in the parameter configuration step adopt an adaptive optimization strategy. The system dynamically adjusts the weight parameters based on the occurrence of safety events for different surgical types in historical surgical data. to The weight value, increasing power during cutting affects the weight. Weighting of influence with current Increased tissue resistance during coagulation affects weighting Weighting of the effect of electrode temperature This allows for safety risk assessments to better align with the safety priorities of different surgeries, while also enabling medical staff to manually lock the optimized weight parameters to prevent parameter anomalies caused by misoperation.

[0035] In this invention, a fault emergency handling sub-step is added to the real-time monitoring step. When a module fault, sensor failure, communication interruption, or abnormal power regulation is detected, the control unit immediately activates the redundancy mechanism, enables the backup sensor or switches the communication mode, reduces the output power to a safe level, and triggers a fault warning. The fault occurrence time, fault module, and fault type are recorded in detail. After the operation, a fault analysis report is generated to provide a basis for equipment maintenance. If the fault cannot be mitigated by the redundancy mechanism, the power output is immediately cut off to ensure absolute safety during the operation.

[0036] The following two examples further illustrate specific embodiments of the present invention: Example 1: Application of a high-frequency electrosurgical unit safety system in obstetric cesarean section This embodiment is applied to the obstetric cesarean section surgery scenario. This surgery requires the use of a high-frequency electrosurgical unit to cut the uterine muscle layer and coagulate the wound. It is necessary to avoid damage to adjacent organs such as the bladder and ureters, and at the same time prevent the risk of postpartum hemorrhage. The surgical environment has factors such as amniotic fluid and blood contamination and electromagnetic equipment interference. The core requirements are to achieve real-time monitoring of multiple parameters, rapid risk warning, dynamic power adjustment, and at the same time ensure data traceability and synchronization of medical and patient information.

[0037] The system's module configuration and collaborative workflow are as follows: The monitoring unit integrates a power sensor, current and voltage detector, electrode temperature sensor, tissue impedance monitor, and a high-definition wide-angle surgical area camera. The acquisition frequency is set to once every 10 milliseconds during the uterine myometrial cutting stage and once every 5 milliseconds during the wound coagulation stage. The power sensor captures output power fluctuations in real time to avoid excessive cutting or insufficient coagulation; the current and voltage detector simultaneously acquires working current and output voltage data to prevent the risk of abnormal electric shock; the electrode temperature sensor obtains the temperature of the electrode tip through contact detection to avoid burning uterine tissue; the tissue impedance monitor continuously acquires impedance changes of the uterine myometrium and surrounding tissues; and the surgical area camera captures real-time images of the surgical site, clearly showing the incision status and bleeding points, which are then transmitted to the control unit.

[0038] The control unit is equipped with a high-performance multi-core processor and a dedicated safety control algorithm. After receiving multi-dimensional data transmitted from the monitoring unit, it completes analysis and logical judgment within 2 milliseconds. Targeting the characteristics of cesarean section surgery, it dynamically configures weight parameters: during the cutting phase, it increases the weight of power and current influence to ensure a clean incision; during the coagulation phase, it increases the weight of tissue impedance and electrode temperature influence to prevent excessive tissue coagulation and necrosis. The power adjustment unit connects the control unit to the electrosurgical unit's power output, supporting a continuously adjustable mode in 0.1W steps. When tissue impedance increases, the power is increased every 20 milliseconds to ensure hemostasis; when impedance decreases, the power is decreased every 10 milliseconds to avoid burns. The adjustment response time is controlled within 30 milliseconds to ensure precise matching between power and tissue state.

[0039] The safety warning unit has a built-in four-level warning mechanism. When the risk level is 0 to 3, the green indicator light on the display screen stays on, and the voice module gently announces the normal operating status. When the risk level is 3 to 6, the yellow warning light flashes, an intermittent buzzer alarm sounds, and a pop-up window on the screen displays the warning reason, such as low tissue impedance, and simultaneously provides suggestions to reduce the power. When the risk level is 6 to 8, the red warning light flashes rapidly, a continuous buzzer alarm sounds, the device handle vibrates, and the output power is automatically reduced to 50% of the original power. When the risk level is 8 to 10, the electrosurgical power output is immediately cut off, a high-decibel emergency alarm is activated, and an emergency notification is simultaneously sent to the mobile terminals of the surgeon and circulating nurse.

[0040] The human-computer interaction unit is equipped with a 10-inch high-definition touch screen. The interface is divided into sections for cutting and coagulation modes, displaying real-time parameters such as output power, operating current, electrode temperature, tissue impedance, and risk levels. It supports manual input of surgical parameters and adjustment of warning thresholds by medical staff. The voice broadcast module can announce key information such as power adjustments, warning triggers, and abnormal electrode status, adapting to the scenario where medical staff are focused on operation and their hands are busy during cesarean section surgery. The data storage unit uses the AES-256 encryption algorithm to classify and store basic patient information, surgery type, parameter configuration, full-process monitoring data, warning event details, and electrode usage records. It supports retrieval by surgery time and patient ID, and the storage capacity meets the data storage needs of 1000 consecutive surgeries.

[0041] The communication unit supports wired Ethernet, 5G, Wi-Fi, and Bluetooth multi-mode communication. During surgery, it synchronizes critical data with the hospital's obstetric surgery management system every 500 milliseconds. In case of an alert, it immediately pushes notifications to medical staff's mobile terminals, allowing for remote viewing of the surgical status and parameter adjustments. The environmental monitoring module integrates temperature and humidity sensors, combustible gas detectors, and electromagnetic interference detectors. It collects real-time data on operating room temperature, humidity, anesthetic gas concentration, and electromagnetic interference intensity generated by monitors and other equipment. When the anesthetic gas concentration exceeds the safe range, it triggers an environmental adaptation warning, prompting medical staff to adjust ventilation parameters.

[0042] The electrode status detection module incorporates an electrode impedance detector, a wear level identifier, and a contact pressure sensor to monitor the contact status between the electrode and uterine tissue in real time. When the wear of the electrode tip exceeds a set standard, an electrode replacement reminder is triggered. If the contact pressure is abnormal, the output power is automatically reduced, and the system prompts for adjustments to the operating technique to prevent tissue burns caused by poor contact due to amniotic fluid lubrication. During the power-on self-test, the control unit sequentially checks the operating status of each module and performs precision calibration on core components such as the power sensor and current / voltage detector. Once calibration is successful, a ready signal is issued. In the parameter configuration step, medical staff select the cesarean section procedure type, and the system automatically matches the initial power range and weight parameters, supporting manual adjustment based on the patient's gestational age and uterine wall thickness. During the shutdown process, the system first stops power output, performs integrity verification and encrypted backup of the surgical data, generates a surgical safety report, and then sequentially shuts down the power to each module.

[0043] Table 1: Comparison of Safety Performance of Cesarean Section Surgery in Obstetrics

[0044] Table 1 clearly demonstrates the safety advantages of this invention in obstetric cesarean section surgery. Traditional high-frequency electrosurgical units lack real-time monitoring and dynamic adjustment capabilities for multiple parameters, relying on the experience and judgment of medical staff. This makes them prone to complications such as uterine tissue burns and postpartum hemorrhage due to power fluctuations and electrode malfunctions, and there is no complete data record for postoperative traceability. This invention achieves comprehensive monitoring through multi-module collaboration. The control unit quickly analyzes data and precisely adjusts the power, a graded early warning mechanism promptly avoids risks, and an encrypted storage module completely records data throughout the entire surgery. This significantly reduces the incidence of complications, improves surgical safety and standardization, and provides reliable safety assurance for cesarean section surgery.

[0045] Example 2: Application of a high-frequency electrosurgical safety system in obstetric intrauterine resection of retained products of conception. This embodiment is applied to the obstetric intrauterine retention removal procedure. This surgery is for patients with postpartum placental or fetal membrane retention. It requires the use of a high-frequency electrosurgical unit to precisely remove the remaining tissue. The requirements for electrode temperature control and power accuracy are extremely high. It is necessary to avoid excessive burning of the endometrium, which may affect subsequent fertility. The surgical environment is characterized by intrauterine irrigation fluid and a small operating space. The core requirements are to achieve real-time detection of electrode status, adaptive adjustment of tissue impedance, and graded safety warning, while ensuring data security and efficient communication between doctors and patients.

[0046] The system's module configuration and collaborative workflow are as follows: The monitoring unit integrates a power sensor, current and voltage detector, electrode temperature sensor, tissue impedance monitor, and a miniature high-definition surgical area camera. The acquisition frequency is set to once every 8 milliseconds during the residual tissue cutting stage and once every 3 milliseconds during the wound coagulation stage. The miniature high-definition camera is adapted to the narrow channel of the hysteroscope, clearly capturing the location of residual tissue and the state of the uterine cavity wound; the electrode temperature sensor adopts a minimally invasive contact design, accurately detecting the temperature of the area where the electrode contacts the endometrium, avoiding endometrial thermal damage; the tissue impedance monitor focuses on collecting impedance changes of residual tissue and surrounding endometrial tissue, ensuring that the data closely matches the intrauterine surgical scenario; the power sensor and current and voltage detector synchronously capture parameter fluctuations, preventing the risk of abnormal electric shock.

[0047] The control unit is equipped with a low-power, high-performance processor and a dedicated safety control algorithm. Parameter weighting is optimized for the characteristics of intrauterine residue removal surgery, with significantly increased weightings for tissue impedance and electrode temperature effects during the coagulation phase. It rapidly analyzes multi-dimensional data transmitted from the monitoring unit, accurately outputting safety risk levels and power adjustment commands. The power adjustment unit supports continuously adjustable modes in 0.05W steps, dynamically adjusting output power based on changes in tissue impedance. When residual tissue impedance is low, the power is quickly reduced to avoid burning the endometrium; when the wound coagulates and impedance increases, the power is gradually increased to ensure hemostasis. The adjustment response time is no more than 25 milliseconds, ensuring thorough removal of residual tissue while protecting the normal endometrium.

[0048] The four-level early warning mechanism of the safety warning unit is adapted to the needs of intrauterine surgery. When the risk level is 0 to 3, only the green indicator light on the display screen indicates that the normal status is achieved. When the risk level is 3 to 6, the yellow warning light flashes and the intermittent buzzer alarm is triggered simultaneously, and the screen pop-up window displays the warning reason, such as the electrode temperature being too high, and provides suggestions for adjusting the electrode position. When the risk level is 6 to 8, the red warning light flashes continuously, the high-decibel buzzer alarm is activated and the equipment vibration prompt is activated simultaneously, and the output power is automatically reduced to a safe range. When the risk level is 8 to 10, the power output is immediately cut off, the emergency alarm is activated and an emergency notification is sent to the mobile terminal of medical staff, along with real-time intrauterine images and monitoring data.

[0049] The human-computer interaction unit is equipped with an 8-inch high-definition touch screen, featuring an anti-fog design suitable for the irrigation fluid environment of intrauterine surgery. The interface is simple and intuitive, highlighting electrode temperature, tissue impedance, output power, and risk level. It supports voice command input for parameter adjustment, and the voice broadcast module clearly announces power changes, warning information, and operation instructions, freeing up the hands of medical staff. The data storage unit uses the AES-256 encryption algorithm to categorize and store basic patient information, surgical parameters, full-process monitoring data, warning events, electrode usage records, and system maintenance logs. It supports searching by keywords such as surgical type, patient ID, and surgical time. Data can be exported via USB interface or wirelessly, meeting the needs of postoperative review and medical dispute tracing.

[0050] The communication unit supports multi-mode communication including 5G, Wi-Fi, Bluetooth, and wired Ethernet. During surgery, it synchronizes data with the hospital's obstetric surgery management system every 300 milliseconds, and sends immediate push notifications when warning events occur. It also allows remote experts to view the surgical status and provide guidance. The environmental monitoring module integrates temperature and humidity sensors, a combustible gas detector, and an electromagnetic interference detector. It collects real-time data on operating room temperature, humidity, gas concentration from the evaporation of the perfusion fluid, and the intensity of electromagnetic interference from surrounding equipment. Abnormal temperature and humidity trigger warnings, prompting adjustments to operating room environmental parameters to avoid affecting the stability of the electrosurgical unit.

[0051] The electrode status detection module incorporates an electrode impedance detector, a wear level identifier, and a contact pressure sensor. It monitors the contact pressure between the electrode and the endometrium in real time, as well as the wear of the electrode tip. Excessive contact pressure triggers an electrode adjustment prompt to prevent pressure damage to the endometrium; excessive wear immediately triggers a replacement reminder to prevent irregular burns to the endometrium due to electrode malfunction. During the power-on self-test, the control unit comprehensively checks the operating status of each module and performs precision calibration on core components to ensure compliance with the safety requirements of intrauterine surgery. In the parameter configuration step, medical staff select the type of intrauterine residue removal procedure, and the system automatically matches initial parameters, supporting manual adjustment based on the size and location of residual tissue. The real-time monitoring step includes an emergency fault handling sub-step: when a sensor fails, a backup sensor is activated; when communication is interrupted, a backup communication mode is switched; if the issue cannot be resolved, power output is immediately cut off. During the shutdown process, the system completes data backup and generates a safety report before systematically shutting down the power to each module.

[0052] Table 2: Comparison of Safety Performance of Obstetric Intrauterine Residue Removal Procedures

[0053] Table 2 data highlights the application value of this invention in obstetric intrauterine resection. Traditional high-frequency electrosurgical units cannot monitor electrode status and tissue impedance changes in real time, resulting in low early warning accuracy, difficulty in detecting electrode malfunctions, and a high risk of endometrial burns, affecting subsequent fertility. Furthermore, the complex operation reduces patient satisfaction. This invention accurately captures electrode malfunctions through an electrode status detection module, avoids excessive burns through an adaptive tissue impedance adjustment mechanism, significantly improves early warning accuracy through a graded early warning mechanism, and optimizes the user experience with convenient human-computer interaction and reliable communication functions. This significantly reduces the rate of endometrial burns, improves surgical safety and patient satisfaction, and provides a dedicated safety solution for obstetric intrauterine surgeries.

[0054] refer to Figure 3 This bar chart visually demonstrates the core advantages of the system in multi-dimensional parameter monitoring. Traditional high-frequency electrosurgical units lack integrated monitoring components, enabling only coarse monitoring of a single power parameter. Monitoring of key safety indicators such as current, voltage, electrode temperature, and tissue impedance relies on manual judgment, with an accuracy rate generally below 75%. Surgical image recognition is even lower, below 50%, making it difficult to comprehensively capture the device's operation and tissue response. The system of this invention integrates multiple types of high-precision sensors and high-definition cameras, combined with real-time data processing algorithms, to achieve synchronous and accurate acquisition of various parameters, maintaining an accuracy rate of over 95%. Among them, the electrode temperature monitoring accuracy reaches as high as 99%, accurately capturing instantaneous temperature changes at the electrode tip, providing reliable data support for subsequent risk assessment and power adjustment, completely solving the pain points of traditional equipment's single monitoring dimension and low accuracy, and building a solid first line of defense for surgical safety.

[0055] refer to Figure 4This bar chart illustrates the core value of the electrode status detection module of this invention. Traditional high-frequency electrosurgical units lack real-time detection methods for electrode status, relying entirely on the visual observation and experience of medical personnel to diagnose electrode faults. The fault detection rate is generally below 40%, and the detection rate for hidden faults such as insulation layer damage is even lower, less than 20%. Operating a faulty electrode can easily lead to serious safety problems such as tissue burns and current leakage. This invention's system, by integrating an electrode impedance detector, a wear degree identifier, and a contact pressure sensor, achieves comprehensive and accurate detection of various electrode faults. The detection rate for excessive tip wear and abnormal electrode impedance reaches 100%, and the detection rate for other fault types remains above 97%. Early detection of electrode faults and triggering replacement or power reduction reminders can prevent surgical risks caused by electrode problems from the source, improving the safety and standardization of the surgical procedure.

[0056] refer to Figure 5 This bar chart comprehensively demonstrates the multi-scenario adaptability of the system of this invention. Traditional high-frequency electrosurgical units do not consider the impact of complex surgical environments. In special environments such as fluctuating temperature and humidity, and strong electromagnetic interference, the stability of the equipment drops significantly, with an adaptability generally below 65%. The adaptability in mobile surgical scenarios and environments with strong electromagnetic interference is even less than 50%, failing to meet the environmental requirements of minimally invasive surgeries such as laparoscopy and hysteroscopy. The system of this invention, through the integration of an environmental monitoring module and anti-interference design, collects environmental parameters in real time and analyzes them in conjunction with equipment operating parameters, adjusting the working mode accordingly. The adaptability across all environmental dimensions remains above 93%. The adaptability in special gas environments reaches 97%, meeting the environmental requirements for carbon dioxide perfusion in laparoscopic surgery; the adaptability in confined surgical spaces is 94%, adapting to confined operating scenarios such as hysteroscopy, significantly expanding the clinical application range of high-frequency electrosurgical units.

[0057] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A high-frequency electrosurgical unit safety system with real-time monitoring function, characterized in that, Includes the following modules: The monitoring unit integrates a power sensor, current and voltage detector, electrode temperature sensor, tissue impedance monitor, and surgical area camera to collect high-frequency electrosurgical unit operating parameters, tissue impedance data, and surgical area image information in real time. The control unit is equipped with a high-performance processor and a dedicated safety control algorithm. It receives multi-dimensional data from the monitoring unit, performs analysis and logical judgment, outputs power adjustment, safety warning and emergency control commands, and coordinates the collaborative work of each module. The power adjustment unit connects the control unit to the high-frequency electrosurgical unit's power output terminal. It dynamically adjusts the output power according to the control unit's instructions, supporting both continuous and graded adjustment modes. The safety early warning unit has a built-in hierarchical early warning mechanism. Based on the risk assessment results of the control unit, it triggers different levels of early warning through audible and visual alarms and vibration prompts, and simultaneously displays the cause of the early warning and handling suggestions. The human-computer interaction unit is equipped with a high-definition touch screen and a voice broadcast module, which displays the electrosurgical working parameters, monitoring data, risk level and operation instructions in real time. It supports manual input of surgical parameters and adjustment of warning thresholds, and the voice module broadcasts key operation prompts and warning information. The data storage unit adopts an encrypted storage architecture to classify and store surgical types, operating parameters, real-time monitoring data, early warning event records, and system operation logs. It supports long-term data traceability and multi-terminal export, and has data backup and recovery functions. The communication unit supports wired Ethernet, wireless Wi-Fi, and Bluetooth multi-mode communication, enabling real-time data transmission between the control unit and the hospital's surgical management system and medical staff's mobile terminals. It also facilitates timely synchronization of surgical data and safety events, and supports remote monitoring and parameter adjustment.

2. The high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, It also includes an environmental monitoring module, which integrates temperature and humidity sensors, combustible gas detectors, and electromagnetic interference detectors. It collects the temperature, humidity, combustible gas concentration in the operating room air, and electromagnetic interference intensity of the surrounding environment in real time, transmits the environmental data to the control unit, and analyzes it in conjunction with the electrosurgical unit's operating parameters. When the environmental parameters exceed the safe range, it triggers an environmental adaptation warning to prompt medical staff to adjust the environmental conditions.

3. The high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, It also includes an electrode status detection module, which has a built-in electrode impedance detector, wear degree identifier and contact pressure sensor to detect the contact status between the electrode and the tissue, the wear degree of the electrode tip and the contact pressure in real time. When the electrode wear exceeds the standard, poor contact or abnormal pressure is detected, the status information is immediately transmitted to the control unit to trigger electrode maintenance reminder or power reduction protection.

4. The high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, The safety risk assessment of the control unit adopts a multi-parameter weighted fusion algorithm, and the calculation expression is as follows: Where R represents the safety risk level value. Weighting for power influence. The weighting of tissue impedance influences The weighting is determined by the effect of electrode temperature. The weighting is affected by the operating current. The weighting of the output voltage effect is 1, and the sum of the five factors is 1; P is the ratio of actual output power to rated power, Z is the deviation coefficient of actual tissue impedance from standard impedance, T is the amplitude coefficient of electrode temperature exceeding the safety threshold, I is the ratio of actual operating current to safe current, and U is the ratio of actual output voltage to safe voltage.

5. A high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, The power adjustment unit adopts a tissue impedance adaptive adjustment mechanism. Based on the real-time tissue impedance changes collected by the monitoring unit and the impedance adaptation range preset by the surgical type, it dynamically adjusts the output power parameters. It also supports manual intervention and adjustment by medical staff, with manual adjustment having higher priority than automatic adjustment.

6. A high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, The safety warning unit's graded warning mechanism is divided into four levels: Levels 0 to 3 are low risk, indicated by a green indicator light and a soft voice prompt; Levels 3 to 6 are medium risk, indicated by a yellow warning light, intermittent buzzer alarm, and screen pop-up prompt; Levels 6 to 8 are high risk, indicated by a red warning light, continuous buzzer alarm, equipment vibration prompt, and automatic power reduction; Levels 8 to 10 are extremely high risk, immediately cutting off power output, activating an emergency alarm, and sending an emergency notification to the mobile terminals of medical personnel.

7. A high-frequency electrosurgical safety system with real-time monitoring function according to claim 1, characterized in that, The data storage unit uses AES-256 encryption algorithm for encryption, and stores surgical information and system logs in categories. The storage capacity meets the data storage needs of 1,000 consecutive surgeries. The communication unit supports 5G communication, with a remote transmission latency of no more than 100 milliseconds, and has the function of storing data after network outage and automatically synchronizing it after network recovery.

8. A control method for a high-frequency electrosurgical safety system with real-time monitoring function according to any one of claims 1-7, characterized in that, Includes the following steps: The power-on self-test procedure is as follows: After the system is powered on, it automatically starts the self-test process. The control unit sequentially detects the working status of the monitoring unit, power regulation unit, safety warning unit, human-machine interaction unit, data storage unit, communication unit and newly added modules, and performs precision calibration on the core components. If the self-test passes, a ready signal is issued. If the self-test fails, a fault alarm is triggered and the faulty module is displayed. In the parameter configuration process, medical staff input the surgical type and set the safety threshold through the human-computer interaction unit. The system automatically matches the initial weight parameters and warning level classification standards according to the surgical type, and supports medical staff to manually adjust them based on clinical experience. The real-time monitoring process involves the monitoring unit collecting data on output power, operating current, output voltage, electrode temperature, and tissue impedance at a set frequency after the surgery begins. The surgical area camera captures the surgical scene in real time, and the environmental monitoring module and electrode status detection module synchronously collect environmental parameters and electrode status information. All data is transmitted to the control unit in real time. In the power adjustment step, the control unit analyzes and processes the received multi-dimensional data, sends a power adjustment command to the power adjustment unit, and the power adjustment unit dynamically adjusts the output power while providing real-time feedback on the adjustment results. The safety early warning process involves the control unit determining the risk level based on the safety risk level value, triggering corresponding early warning measures, and simultaneously recording the time, cause, and handling method of the early warning event. The data recording steps involve the data storage unit storing all monitoring data during the surgical process in real time, classifying and archiving it according to surgical ID and timestamp, while the communication unit synchronizes key data to the hospital surgical management system and the mobile terminals of medical staff in real time. The shutdown process involves the medical staff issuing a shutdown command through the human-computer interaction unit after the surgery. The system first stops power output, performs integrity verification and encrypted backup of the surgical data, generates a surgical safety report, then shuts down the power of each module in sequence, and finally issues a shutdown completion prompt.

9. The control method for a high-frequency electrosurgical safety system with real-time monitoring function according to claim 8, characterized in that, The weight parameters in the parameter configuration step employ an adaptive optimization strategy. The system dynamically adjusts these parameters based on the occurrence of safety events for different surgical types in historical surgical data. to The system allows medical staff to manually lock the optimized weight parameters.

10. The control method for a high-frequency electrosurgical safety system with real-time monitoring function according to claim 8, characterized in that, A fault emergency handling sub-step is added to the real-time monitoring step. When a module fault, sensor failure, communication interruption, or abnormal power regulation is detected, the control unit immediately activates the redundancy mechanism, enables the backup sensor or switches the communication mode, reduces the output power to a safe level, triggers a fault warning, records the fault information, generates a fault analysis report, and immediately cuts off the power output if the fault cannot be mitigated by the redundancy mechanism.

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