Multi-parameter remote warning and monitoring system and method for insulin pump

Abstract

The invention relates to the field of medical treatment, and discloses an insulin pump multi-parameter remote warning monitoring system and method.The insulin pump multi-parameter remote warning monitoring system comprises a data acquisition module used for acquiring basic working data of an insulin pump and physiological data of a blood glucose sensor in real time; the wireless transmission module is used for realizing bidirectional data transmission by adopting an IMT-Advanced standard; the warning management module is used for classifying and managing abnormal conditions, generating warning information based on a threshold value and recording the warning information, and supporting rapid risk response; and the AI auxiliary module is used for storing historical data, predicting potential risks by using AI modeling, and generating intelligent early warning to assist in advanced intervention. By adopting an IMT-Advanced wireless transmission technology, the limitation of traditional localized monitoring is broken through, the stability and reliability of data transmission are improved, it is ensured that a remote monitoring module can accurately obtain basic working data of an insulin pump and physiological data of a blood glucose sensor in real time, and system misjudgment and treatment delay caused by unsmooth or wrong data transmission are avoided.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and particularly to a multi-parameter remote warning monitoring system and method for an insulin pump. Background Art

[0002] With the continuous increase in the incidence of diabetes, patients' requirements for the accuracy and convenience of blood glucose management are increasing day by day. As a device that can simulate the human insulin secretion mode, the insulin pump has been widely used in the treatment of diabetes. However, during the use of the insulin pump, patients need to frequently monitor blood glucose and adjust insulin infusion parameters, which brings many inconveniences to patients. At the same time, for some special populations, such as children, the elderly, or those with limited mobility, it is difficult to manage the insulin pump and blood glucose monitoring by themselves. Therefore, a system that can monitor multiple parameters of the insulin pump in real time and give remote warnings is needed to improve the treatment effect and quality of life of patients.

[0003] However, the existing technology has limitations in local monitoring, making it difficult to achieve effective remote monitoring. Moreover, the stability and reliability of data transmission are poor, and problems such as unsmooth transmission or errors often occur, making it difficult for the remote monitoring module to obtain the basic working data of the insulin pump and the physiological data of the blood glucose sensor in a timely and accurate manner. As a result, subsequent analysis, early warning, and decision-making lack a solid data communication guarantee, easily leading to problems such as system misjudgment and treatment delay. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention provides a multi-parameter remote warning monitoring system and method for an insulin pump, which solves the problems existing in the existing technology, such as limitations in local monitoring, difficulty in effective remote monitoring, poor stability and reliability of data transmission, frequent transmission problems, making it difficult for the remote monitoring module to obtain the data of the insulin pump and the blood glucose sensor in a timely and accurate manner, resulting in subsequent analysis, early warning, and decision-making lacking reliable data communication support, and easily causing system misjudgment and treatment delay.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A multi-parameter remote warning monitoring system for an insulin pump includes:

[0006] A data acquisition module for real-time acquisition of the basic working data of the insulin pump and the physiological data of the blood glucose sensor;

[0007] A wireless transmission module that realizes two-way data transmission using the IMT-Advanced standard;

[0008] A warning management module for classifying and managing abnormal situations, generating warning information based on thresholds and recording it to support rapid risk response;

[0009] The AI assistance module is used to store historical data, utilize AI modeling to predict potential risks, generate intelligent warnings to assist in early intervention;

[0010] The remote monitoring module analyzes and displays real-time data and historical charts, supports the sending of remote instructions, and realizes cross-regional monitoring and control;

[0011] The intelligent decision-making assistance module comprehensively analyzes multi-source data to generate decision-making suggestions, constructs an intelligent pre-plan library and evaluates the effectiveness of the plan to optimize the treatment strategy.

[0012] Preferably, the data acquisition module includes an insulin pump data acquisition unit, a sensor data acquisition unit, and a data acquisition interaction unit;

[0013] The insulin pump data acquisition unit is used to collect the basic working data of the insulin pump, including insulin infusion volume, infusion rate, and remaining drug amount, and is connected through the communication interface with the insulin pump;

[0014] The communication interface uses the RS-485 standard communication protocol for data transmission;

[0015] The sensor data acquisition unit collects real-time physiological data and the status data of the sensor itself for the equipped blood glucose sensor, including the current blood glucose value and the working status of the sensor;

[0016] The data acquisition interaction unit sends the data packet integrated by the insulin pump data acquisition unit and the sensor data acquisition unit to the signal modulation unit of the wireless transmission module through the internal bus.

[0017] Preferably, the wireless transmission module includes a signal modulation unit and a wireless sending and receiving unit;

[0018] The signal modulation unit modulates the collected data to adapt it to the IMT-Advanced wireless transmission standard for stable transmission in the wireless channel;

[0019] The signal modulation unit receives the data packet from the data acquisition module, modulates it, and then transfers it to the wireless sending and receiving unit;

[0020] The wireless sending and receiving unit is responsible for sending the modulated data to the remote monitoring module through the IMT-Advanced wireless network, and receiving instructions and feedback information from the remote monitoring module, including parameter setting adjustments and device calibration instructions for the insulin pump.

[0021] Preferably, the warning management module includes a warning information classification unit, a warning information generation unit, and a warning information interaction unit;

[0022] The warning information classification unit is used to clearly classify various warning information, including too fast / too slow infusion rate, infusion interruption, sensor signal loss, abnormal accuracy, low battery power, and abnormal device connection;

[0023] The warning information generation unit determines the working state of the insulin pump in real time according to the collected data and preset thresholds, and generates warning information when abnormalities are found;

[0024] The warning information interaction unit is used to send the generated warning information to the remote monitoring module and the intelligent decision-making assistance module through the wireless transmission module, and receive the intelligent early warning information of the AI assistance module for subsequent processing.

[0025] Preferably, the AI assistance module includes a historical data storage and management unit, a data analysis and modeling unit, and an intelligent early warning generation unit;

[0026] The historical data storage and management unit stores various data generated during the long-term operation of the insulin pump, including historical infusion data, hourly insulin infusion volume, blood glucose value, sensor data, and warning records, in chronological order;

[0027] The data analysis and modeling unit uses AI algorithms to deeply analyze the historical data and build a prediction model;

[0028] The intelligent early warning generation unit, based on the established prediction model, generates intelligent early warning information in advance when detecting potential risks, and transmits it to the warning management module through the wireless transmission module for subsequent processing;

[0029] The intelligent early warning generation unit interacts with the wireless sending and receiving unit of the wireless transmission module through the IMT-Advanced wireless network.

[0030] Preferably, the remote monitoring module includes a data receiving and parsing unit, a user interface display unit, and an instruction sending unit;

[0031] The data receiving and parsing unit is used to receive data from the wireless transmission module and parse it from the modulated format back to the original data form;

[0032] The user interface display unit is used to provide an intuitive monitoring interface for medical staff or patient families, and display the real-time working state of the insulin pump, various warning information, and historical data charts;

[0033] The instruction sending unit is used to generate instructions when the monitoring personnel need to perform remote operations or setting adjustments on the insulin pump, and send them to the insulin pump end through the wireless transmission module.

[0034] Preferably, the intelligent decision-making assistance module includes a decision-making suggestion generation unit, an intelligent pre-plan library unit, and a plan effect evaluation unit;

[0035] The intelligent pre-plan library unit stores response steps, operation procedures, and required resources by establishing an intelligent pre-plan library covering various common abnormal situations and risk scenarios;

[0036] The decision-making suggestion generation unit receives the real-time data of the data acquisition module, the risk prediction results of the AI assistance module, and the warning records of the warning management module transmitted by the wireless transmission and reception unit, and uses a technology combining rule-based reasoning and machine learning to generate multi-dimensional decision-making suggestions for the adjustment of insulin pump use and the optimization of the patient's treatment plan, and then sends them to the insulin pump end through the wireless transmission and reception unit;

[0037] After the medical staff adjusts the insulin pump according to the decision-making suggestions or intelligent pre-plans, the plan effect evaluation unit continuously obtains the changes in the patient's physiological data and the working status data of the insulin pump through the wireless transmission and reception unit.

[0038] Preferably, when the decision-making suggestion generation unit determines the occurrence of corresponding abnormal situations or risk scenarios based on the received data, it quickly calls the corresponding response steps from the intelligent pre-plan library, and the operation procedures assist the medical staff in making decisions and operations.

[0039] Preferably, the instruction sending unit of the remote monitoring module sends the decision-making suggestions generated by the intelligent decision-making assistance module to the insulin pump end for execution.

[0040] Preferably, an insulin pump multi-parameter remote warning and monitoring method includes the following steps:

[0041] S1. The insulin pump and the sensor data acquisition unit respectively collect data, which are integrated by the data acquisition and interaction unit and then transmitted to the wireless transmission module;

[0042] S2. The wireless transmission module modulates the data and transmits the data and instructions bidirectionally through the IMT-Advanced network;

[0043] S3. The warning management module classifies and generates warning information, receives the early warning information of the AI assistance module, and at the same time transmits the warning information to other modules;

[0044] S4. The AI assistance module stores historical data, builds models for prediction, and transmits the intelligent early warning information to the warning management module;

[0045] S5. The remote monitoring module receives and analyzes the data, displays the information, and supports remote operation of the insulin pump;

[0046] S6. The intelligent decision-making assistance module synthesizes multi-source data to generate decision-making suggestions, invokes the pre-plan for decision-making assistance, and evaluates the effectiveness of the plan to optimize the treatment strategy.

[0047] The present invention provides an insulin pump multi-parameter remote warning and monitoring system and method. It has the following beneficial effects:

[0048] 1. By adopting IMT-Advanced wireless transmission technology, the present invention breaks through the limitations of traditional local monitoring, improves the stability and reliability of data transmission, ensures that the remote monitoring module can obtain the basic working data of the insulin pump and the physiological data of the blood glucose sensor in real time and accurately, provides a solid data communication guarantee for subsequent analysis, warning and decision-making, and effectively avoids system misjudgment and treatment delay caused by unsmooth or incorrect data transmission.

[0049] 2. The warning management module of the present invention accurately classifies abnormal situations, generates warning information in real time according to thresholds and records it, can quickly respond to risks. The AI assistance module analyzes and models long-term historical data, predicts potential risks in advance and issues intelligent warnings. The two work together to help medical staff discover problems in time, intervene in advance, minimize the impact of abnormalities on patients, and ensure patient safety.

[0050] 3. By expanding the types of warning information, the warning management module of the present invention not only includes traditional warnings such as low battery power and abnormal device connection, but also adds more types of warning information related to too fast / slow infusion speed, infusion interruption, sensor signal loss, abnormal precision infusion, and sensor failure. By comprehensively monitoring the working state of the insulin pump, warning information can be generated in time once any abnormal situation occurs, which is convenient for medical staff to quickly identify and handle different types of abnormalities, greatly improves the risk response efficiency, and optimizes the warning mechanism and treatment plan of the system.

[0051] 4. The present invention realizes cross-regional monitoring and control through the remote monitoring module. The decision-making suggestion generation unit of the intelligent decision-making assistance module synthesizes multi-source data to generate decision-making suggestions, the intelligent pre-plan library unit establishes intelligent pre-plans, and the plan effect evaluation unit tracks and evaluates the plan effect, providing scientific and reasonable decision-making basis for medical staff, helping to optimize the use of insulin pumps and patient treatment plans, and improving the convenience, timeliness and accuracy of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is the architecture diagram of an insulin pump multi-parameter remote warning and monitoring system of the present invention;

[0053] Figure 2 is the architecture diagram of the data acquisition module of an insulin pump multi-parameter remote warning and monitoring system of the present invention;

[0054] Figure 3 This is the architecture diagram of the wireless transmission module of a multi-parameter remote warning and monitoring system for an insulin pump according to the present invention;

[0055] Figure 4 This is the architecture diagram of the warning management module of a multi-parameter remote warning and monitoring system for an insulin pump according to the present invention;

[0056] Figure 5 This is the architecture diagram of the AI assistance module of a multi-parameter remote warning and monitoring system for an insulin pump according to the present invention;

[0057] Figure 6 This is the architecture diagram of the remote monitoring module of a multi-parameter remote warning and monitoring system for an insulin pump according to the present invention;

[0058] Figure 7 This is the architecture diagram of the intelligent decision-making assistance module of a multi-parameter remote warning and monitoring system for an insulin pump according to the present invention;

[0059] Figure 8 This is the flowchart of a multi-parameter remote warning and monitoring method for an insulin pump according to the present invention. Specific embodiments

[0060] Next, in combination with the drawings of the present invention, the technical solutions of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0061] Please refer to the attached Figure 1 , an embodiment of the present invention provides a multi-parameter remote warning and monitoring system for an insulin pump, including:

[0062] A data acquisition module for real-time acquisition of the basic working data of the insulin pump and the physiological data of the blood glucose sensor;

[0063] A wireless transmission module that realizes two-way data transmission using the IMT-Advanced standard;

[0064] A warning management module for classifying and managing abnormal situations, generating warning information based on thresholds and recording them to support rapid risk response;

[0065] An AI assistance module for storing historical data, using AI modeling to predict potential risks, and generating intelligent early warnings to assist in early intervention;

[0066] A remote monitoring module for parsing and displaying real-time data and historical charts, supporting the sending of remote commands, and realizing cross-regional monitoring and control;

[0067] The intelligent decision-making assistance module comprehensively analyzes multi-source data to generate decision-making suggestions, constructs an intelligent pre-plan library, evaluates the effectiveness of the plans, and optimizes the treatment strategy.

[0068] Please refer to the appendix Figure 2 , the data acquisition module includes an insulin pump data acquisition unit, a sensor data acquisition unit, and a data acquisition interaction unit;

[0069] The insulin pump data acquisition unit is used to collect the basic working data of the insulin pump, including insulin infusion volume, infusion rate, and remaining drug amount, and is connected through the communication interface with the insulin pump;

[0070] The communication interface uses the RS-485 standard communication protocol for data transmission;

[0071] The sensor data acquisition unit is for the equipped blood glucose sensor, and acquires real-time physiological data and the sensor's own status data, including the current blood glucose value and the sensor working status;

[0072] The data acquisition interaction unit sends the data packet integrated by the insulin pump data acquisition unit and the sensor data acquisition unit to the signal modulation unit of the wireless transmission module through the internal bus.

[0073] Specifically, the basic working data of the insulin pump, such as insulin infusion volume, rate, and remaining drug amount, as well as the physiological data and the sensor's own status data of the blood glucose sensor, are obtained in real time through the data acquisition module. It comprehensively covers the key information of the insulin pump operation and the patient's physiological condition, provides rich original data for the subsequent modules, and helps to comprehensively master the usage of the insulin pump and the patient's blood glucose dynamics. The insulin pump data acquisition unit uses the RS-485 standard communication protocol, which has strong anti-interference ability and ensures stable data transmission. The sensor data acquisition unit is well adapted to the blood glucose sensor and can accurately acquire data. The data acquisition interaction unit efficiently integrates and transmits data through the internal bus. The entire data acquisition module is stable and reliable, ensuring the stability of the system data source and reducing system failures caused by data acquisition problems.

[0074] Please refer to the appendix Figure 3 , the wireless transmission module includes a signal modulation unit and a wireless sending and receiving unit;

[0075] The signal modulation unit modulates the acquired data to adapt it to the IMT-Advanced wireless transmission standard for stable transmission in the wireless channel;

[0076] The signal modulation unit receives the data packet from the data acquisition module, modulates it, and then passes it to the wireless sending and receiving unit;

[0077] The wireless transmission and reception unit is responsible for transmitting the modulated data to the remote monitoring module through the IMT-Advanced wireless network, and receiving instructions and feedback information from the remote monitoring module, including parameter setting adjustments for the insulin pump and device calibration instructions.

[0078] Specifically, adopting the IMT-Advanced standard, the data collected is modulated by the signal modulation unit to adapt to the wireless transmission standard, enabling the data to be stably transmitted in the wireless channel. At the same time, the wireless transmission and reception unit is responsible for two-way transmission. It can not only transmit the modulated data to the remote monitoring module but also receive instructions and feedback information from the remote monitoring module, including parameter setting adjustments for the insulin pump, device calibration instructions, etc., realizing two-way data interaction between the insulin pump and the remote monitoring module. The signal modulation unit modulates the data packets from the data acquisition module and then transfers them to the wireless transmission and reception unit. This method ensures the accuracy and stability of the data during wireless transmission, effectively avoiding data loss or errors, and guaranteeing the reliability of the communication of the entire multi-parameter remote warning monitoring system for the insulin pump.

[0079] Please refer to the appendix Figure 4 , the warning management module includes a warning information classification unit, a warning information generation unit, and a warning information interaction unit;

[0080] The warning information classification unit is used to clearly classify various warning information, including too fast / slow infusion rate, infusion interruption, sensor signal loss, abnormal accuracy, low battery power, and abnormal device connection;

[0081] The warning information generation unit judges the working state of the insulin pump in real time according to the collected data and the preset threshold, and generates warning information when abnormalities are found;

[0082] The warning information interaction unit is used to send the generated warning information to the remote monitoring module and the intelligent decision-making assistance module through the wireless transmission module, and receive the intelligent early warning information from the AI assistance module for subsequent processing.

[0083] Specifically, the warning information classification unit clearly classifies various abnormal situations, covering situations such as too fast / slow infusion rate, infusion interruption, sensor signal loss, accuracy abnormality, low battery power, and abnormal device connection. This precise classification enables medical staff to quickly identify the type of problem and take targeted measures, improving the efficiency of risk handling. The warning information generation unit determines the working state of the insulin pump in real time based on the collected data and preset thresholds, and immediately generates a warning information once an abnormality is detected. This mechanism ensures that an alarm is issued at the first moment when the insulin pump has a problem, supports a rapid risk response, minimizes the impact of abnormal situations on patients, and ensures patient safety. The warning information interaction unit sends the generated warning information to the remote monitoring module and the intelligent decision-making assistance module through the wireless transmission module to achieve information sharing. At the same time, it receives the intelligent early warning information from the AI assistance module for subsequent processing, promotes the collaborative work among modules, and forms a comprehensive risk response system.

[0084] Please refer to the appendix Figure 5 , the AI assistance module includes a historical data storage and management unit, a data analysis and modeling unit, and an intelligent early warning generation unit;

[0085] The historical data storage and management unit stores various types of data generated during the long-term operation of the insulin pump, including historical infusion data, hourly insulin infusion volume, blood glucose values, sensor data, and warning records, and stores them in chronological order;

[0086] The data analysis and modeling unit uses AI algorithms to deeply analyze the historical data and build a prediction model;

[0087] Based on the established prediction model, when the intelligent early warning generation unit detects potential risks, it generates intelligent early warning information in advance and transmits it to the warning management module through the wireless transmission module for subsequent processing;

[0088] The intelligent early warning generation unit interacts with the wireless sending and receiving unit of the wireless transmission module through the IMT-Advanced wireless network.

[0089] Specifically, the historical data storage and management unit stores various types of data generated during the long-term operation of the insulin pump. The data analysis and modeling unit uses AI algorithms to deeply analyze these historical data and build a prediction model. The intelligent early warning generation unit detects potential risks based on the model and generates intelligent early warning information in advance, enabling medical staff to intervene in advance and prevent problems from occurring. Through the analysis of a large amount of historical data, the AI assistance module can discover potential laws in the use of insulin pumps and the treatment process of patients, provide data support and risk prediction results for the intelligent decision-making assistance module, help optimize treatment strategies, and improve treatment effects.

[0090] Please refer to the appendix Figure 6, the remote monitoring module includes a data receiving and parsing unit, a user interface display unit, and a command sending unit;

[0091] The data receiving and parsing unit is used to receive data from the wireless transmission module and parse and restore it from the modulated format to the original data form;

[0092] The user interface display unit is used to provide an intuitive monitoring interface for medical staff or patient families, and display the real-time working status of the insulin pump, various warning messages, and historical data charts;

[0093] The command sending unit is used to generate a command when the monitoring personnel need to perform remote operations or setting adjustments on the insulin pump, and send it to the insulin pump end through the wireless transmission module.

[0094] Specifically, the data receiving and parsing unit receives and parses the data from the wireless transmission module. The user interface display unit provides an intuitive monitoring interface for medical staff or patient families, and displays the real-time working status of the insulin pump, various warning messages, and historical data charts. It is convenient for relevant personnel to master the operation of the insulin pump and the physiological status of the patient at any time, and facilitate timely adjustment of the treatment plan. The command sending unit supports the monitoring personnel to perform remote operations or setting adjustments on the insulin pump, generates a command and sends it to the insulin pump end through the wireless transmission module.

[0095] Please refer to the appendix Figure 7 , the intelligent decision-making assistance module includes a decision-making suggestion generation unit, an intelligent pre-plan library unit, and a plan effect evaluation unit;

[0096] The intelligent pre-plan library unit establishes an intelligent pre-plan library covering various common abnormal situations and risk scenarios, and stores the response steps, operation processes, and required resources in it;

[0097] The decision-making suggestion generation unit receives the real-time data of the data acquisition module, the risk prediction results of the AI assistance module, and the warning records of the warning management module transmitted by the wireless sending and receiving unit, and uses a technology combining rule-based reasoning and machine learning to generate multi-dimensional decision-making suggestions for the adjustment of insulin pump use and the optimization of the patient's treatment plan, and then sends them to the insulin pump end through the wireless sending and receiving unit;

[0098] The plan effect evaluation unit continuously obtains the changes in the patient's physiological data and the working status data of the insulin pump through the wireless sending and receiving unit after the medical staff perform operation adjustments on the insulin pump according to the decision-making suggestions or intelligent pre-plans.

[0099] Specifically, the decision-making advice generation unit comprehensively analyzes the real-time data of the data acquisition module, the risk prediction results of the AI assistance module, and the warning records of the warning management module, and uses a technology that combines rule-based reasoning and machine learning to generate multi-dimensional decision-making advice for the adjustment of insulin pump use and the optimization of the patient treatment plan. It provides scientific and comprehensive decision-making basis for medical staff, and improves the accuracy and effectiveness of decision-making. The intelligent pre-plan library unit establishes an intelligent pre-plan library covering various common abnormal situations and risk scenarios, and stores response steps, operation procedures, and required resources. After the medical staff adjusts the insulin pump according to the decision-making advice or intelligent pre-plan, the plan effect evaluation unit continuously obtains the changes in the patient's physiological data and the working status data of the insulin pump through the wireless transmission module, and uses data analysis technology to evaluate the plan effect.

[0100] Please refer to the appendix Figure 7 , when the decision-making advice generation unit determines the occurrence of corresponding abnormal situations or risk scenarios based on the received data, it quickly calls the corresponding response steps from the intelligent pre-plan library, and the operation procedures assist the medical staff in making decisions and operations.

[0101] Specifically, in the face of various abnormal situations or risk scenarios during the use of the insulin pump, the corresponding response steps and operation procedures can be quickly obtained from the intelligent pre-plan library, avoiding the time waste of medical staff's temporary thinking and formulating solutions, so that decisions can be made quickly and measures can be taken in a timely manner, which helps to improve the response speed to emergencies and ensure the safety of patients.

[0102] Please refer to the appendix Figure 6 , the instruction sending unit of the remote monitoring module sends the decision-making advice generated by the intelligent decision-making assistance module to the insulin pump for execution.

[0103] Specifically, there is no need for medical staff to operate the insulin pump beside the patient in person. By remotely sending instructions, the parameters and working modes of the insulin pump can be adjusted in a timely and accurate manner according to the specific situation of the patient, realizing precise treatment and improving the treatment effect.

[0104] Please refer to the appendix Figure 8 , an insulin pump multi-parameter remote warning and monitoring method, includes the following steps:

[0105] S1. The insulin pump and the sensor data acquisition unit respectively collect data, and after being integrated by the data acquisition interaction unit, the data is transmitted to the wireless transmission module;

[0106] S2. The wireless transmission module modulates the data and transmits the data and instructions bidirectionally through the IMT-Advanced network;

[0107] S3. The warning management module classifies and generates warning information, receives the early warning information of the AI assistance module, and at the same time transmits the warning information to other modules;

[0108] S4. The AI assistance module stores historical data, builds models for prediction, and transmits intelligent warning information to the warning management module;

[0109] S5. The remote monitoring module receives and analyzes the data, displays the information, and supports remote operation of the insulin pump;

[0110] S6. The intelligent decision-making assistance module generates decision-making suggestions by integrating multi-source data, invokes pre-set plans to assist in decision-making, and evaluates the effectiveness of the plans to optimize the treatment strategy.

[0111] Specifically, first, the data acquisition unit connects the insulin pump and the blood glucose sensor through the RS-485 protocol, collects relevant data, integrates them, and then transmits them to the wireless transmission module. This process ensures the comprehensive and real-time acquisition of the basic working data of the insulin pump and the physiological data of the blood glucose sensor, provides a reliable data basis for the entire system, comprehensively covers the key information of the insulin pump operation and the patient's physiological condition, helps to comprehensively master the usage of the insulin pump and the patient's blood glucose dynamics, and the RS-485 protocol ensures the stability of data transmission, reducing system failures caused by data acquisition problems.

[0112] Secondly, the wireless transmission module modulates and adapts the collected data to the IMT-Advanced standard for two-way transmission. At the same time, the warning management module classifies abnormal situations, generates warning information and shares it, and the AI assistance module uses historical data to build models to predict risks and transmit warning information. These operations achieve stable data transmission, timely handling of abnormal situations, and early warning of potential risks. It improves the stability and reliability of data transmission, ensures that the remote monitoring module can obtain data in real time and accurately, avoids system misjudgment and treatment delays; accurate classification and timely warning help medical staff quickly respond to risks, and the prediction function of the AI assistance module helps with early intervention to ensure patient safety.

[0113] Finally, the remote monitoring module receives and analyzes the data and displays it, supports remote operation of the insulin pump, and the intelligent decision-making assistance module integrates multi-source data to generate decision-making suggestions, invokes pre-set plans, and evaluates the effectiveness of the plans. Such an implementation method facilitates the remote monitoring and operation of the insulin pump by medical staff, provides a scientific basis for optimizing the treatment plan. It realizes cross-regional monitoring and control, improves the convenience and accuracy of medical services, provides a scientific decision-making basis for medical staff, optimizes the use of the insulin pump and the patient's treatment plan, and improves the treatment effect.

[0114] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An insulin pump multi-parameter remote warning and monitoring system, characterized in that, Including: A data acquisition module for real-time acquisition of the basic working data of the insulin pump and the physiological data of the blood glucose sensor; A wireless transmission module that realizes two-way data transmission using the IMT-Advanced standard; A warning management module for classifying and managing abnormal situations, generating warning information based on thresholds and recording it to support rapid risk response; An AI assistance module for storing historical data, using AI modeling to predict potential risks, and generating intelligent early warnings to assist in early intervention; A remote monitoring module that analyzes and displays real-time data and historical charts, supports the sending of remote instructions, and realizes cross-regional monitoring and control; An intelligent decision-making assistance module that comprehensively analyzes multi-source data to generate decision-making suggestions, constructs an intelligent pre-plan library and evaluates the effectiveness of the plan to optimize the treatment strategy.

2. The multi-parameter remote warning and monitoring system for an insulin pump according to claim 1, wherein The data acquisition module includes an insulin pump data acquisition unit, a sensor data acquisition unit, and a data acquisition interaction unit; The insulin pump data acquisition unit is used to collect the basic working data of the insulin pump, including insulin infusion volume, infusion rate, and remaining drug amount, and is connected through the communication interface of the insulin pump; The communication interface uses the RS-485 standard communication protocol for data transmission; The sensor data acquisition unit collects real-time physiological data and the status data of the sensor itself for the equipped blood glucose sensor, including the current blood glucose value and the working status of the sensor; The data acquisition interaction unit sends the data packet integrated by the insulin pump data acquisition unit and the sensor data acquisition unit to the signal modulation unit of the wireless transmission module through the internal bus.

3. The multi-parameter remote warning and monitoring system for an insulin pump according to claim 1, characterized in that The wireless transmission module includes a signal modulation unit and a wireless sending and receiving unit; The signal modulation unit modulates the collected data to make it adapt to the IMT-Advanced wireless transmission standard for stable transmission in the wireless channel; The signal modulation unit receives the data packet from the data acquisition module, modulates it, and then transfers it to the wireless sending and receiving unit; The wireless sending and receiving unit is responsible for sending the modulated data to the remote monitoring module through the IMT-Advanced wireless network, and receiving instructions and feedback information from the remote monitoring module, including parameter setting adjustments and device calibration instructions for the insulin pump.

4. The multi-parameter remote warning and monitoring system for an insulin pump according to claim 1, wherein; The warning management module includes a warning information classification unit, a warning information generation unit, and a warning information interaction unit; The warning information classification unit is used to clearly classify various warning information, including too fast / too slow infusion speed, infusion interruption, sensor signal loss, accuracy abnormality, low battery power, and abnormal device connection; The warning information generation unit judges the working status of the insulin pump in real time according to the collected data and the preset thresholds, and generates warning information when abnormalities are found; The warning information interaction unit is used to send the generated warning information to the remote monitoring module and the intelligent decision-making assistance module through the wireless transmission module, and receive the intelligent early warning information of the AI assistance module for subsequent processing.

5. An insulin pump multi-parameter remote warning and monitoring system according to claim 1, characterized in that, The AI assistance module includes a historical data storage and management unit, a data analysis and modeling unit, and an intelligent early warning generation unit; The historical data storage and management unit stores various data generated during the long-term operation of the insulin pump, including historical infusion data, hourly insulin infusion volume, blood glucose value, sensor data, and warning records, in chronological order. The data analysis and modeling unit uses AI algorithms to deeply analyze the historical data and build a prediction model. Based on the established prediction model, when detecting potential risks, the intelligent warning generation unit generates intelligent warning information in advance and transmits it to the warning management module through the wireless transmission module for subsequent processing. The intelligent warning generation unit interacts with the wireless sending and receiving unit of the wireless transmission module through the IMT-Advanced wireless network.

6. The multi-parameter remote warning and monitoring system for an insulin pump according to claim 1, characterized in that The remote monitoring module includes a data receiving and parsing unit, a user interface display unit, and an instruction sending unit. The data receiving and parsing unit is used to receive data from the wireless transmission module and parse it from the modulated format back to the original data form. The user interface display unit is used to provide an intuitive monitoring interface for medical staff or patient families, displaying the real-time working status of the insulin pump, various warning messages, and historical data charts. When the monitoring personnel need to perform remote operations or set adjustments on the insulin pump, the instruction sending unit generates instructions through this unit and sends them to the insulin pump end through the wireless transmission module.

7. The multi-parameter remote warning and monitoring system for an insulin pump according to claim 1, characterized in that The intelligent decision-making assistance module includes a decision-making recommendation generation unit, an intelligent pre-plan library unit, and a plan effect evaluation unit. The intelligent pre-plan library unit stores response steps, operation procedures, and required resources by establishing an intelligent pre-plan library covering various common abnormal situations and risk scenarios. The decision-making recommendation generation unit receives the real-time data of the data collection module, the risk prediction results of the AI assistance module, and the warning records of the warning management module transmitted by the wireless sending and receiving unit, and uses a technology combining rule-based reasoning and machine learning to generate multi-dimensional decision-making recommendations for the adjustment of insulin pump use and the optimization of the patient treatment plan, and then sends them to the insulin pump end through the wireless sending and receiving unit. After the medical staff adjusts the insulin pump according to the decision-making recommendations or intelligent pre-plans, the plan effect evaluation unit continuously obtains the changes in the patient's physiological data and the working status data of the insulin pump through the wireless sending and receiving unit.

8. An insulin pump multi-parameter remote warning and monitoring system according to claim 7, characterized in that, When the decision-making recommendation generation unit determines the occurrence of corresponding abnormal situations or risk scenarios based on the received data, it quickly calls the corresponding response steps and operation procedures from the intelligent pre-plan library to assist the medical staff in making decisions and operations.

9. The insulin pump multi-parameter remote warning and monitoring system according to claim 6, characterized in that, The instruction sending unit of the remote monitoring module sends the decision-making recommendations generated by the intelligent decision-making assistance module to the insulin pump end for execution.

10. A multi-parameter remote warning and monitoring method for an insulin pump, characterized in that, For an insulin pump multi-parameter remote warning monitoring system according to any one of claims 1-9, the method includes the following steps: S1. The insulin pump and the sensor data collection unit collect data respectively, and after being integrated by the data collection interaction unit, they are transmitted to the wireless transmission module. S2. The wireless transmission module modulates the data and transmits data and instructions bidirectionally through the IMT-Advanced network. S3. The warning management module classifies and generates warning information, receives the early warning information from the AI assistance module, and at the same time transmits the warning information to other modules; S4. The AI assistance module stores historical data, builds models for prediction, and transmits the intelligent early warning information to the warning management module; S5. The remote monitoring module receives and analyzes the data, displays the information, and supports the remote operation of the insulin pump; S6. The intelligent decision-making assistance module generates decision-making suggestions by integrating multi-source data, calls the pre-plan for auxiliary decision-making, and evaluates the effect of the plan to optimize the treatment strategy.

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