Intelligent venous transfusion data monitoring control system

Abstract

The invention provides an intelligent venous transfusion data monitoring control system, which relates to the technical field of medical data detection systems, and comprises a nurse end, a plurality of patient ends and a dripping speed measuring end, the nurse terminal comprises an AEC circuit, a power supply a, a low-power-consumption Bluetooth BLEa, an ESP-SR voice framework a, an ESP32-S3 microcontroller a, an audio encoding and decoding circuit a, an audio digital-to-analog conversion circuit, an audio power amplification circuit, a microphone a, a TFT display screen a and a loudspeaker a. The ESP32-S3 microcontroller a is a core processing unit. The Internet of Things technology and clinical nursing are closely combined, the infusion state of a patient is monitored more accurately and efficiently in real time, and the safety and effectiveness of infusion treatment are improved; meanwhile, the remote monitoring function of the system also brings great convenience to the medical staff, and the workload of the medical staff is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data detection systems, and in particular to an intelligent intravenous infusion data monitoring and control system. Background Art

[0002] Intravenous infusion is the most common way for patients to receive drug treatment in hospitals. For patients during the infusion process, even the slightest problem will bring additional burdens or even threaten their lives and health. For example, the following points: If the infusion tube is not removed in time, it may cause blood reflux, and when air enters the venous system, it may form an air embolism that is life-threatening; When using infusion to treat special diseases such as heart failure and soft tissue edema after fracture, medical staff often adjust the drip rate based on experience and cannot accurately control the drip rate; For patients with heart failure, too fast an infusion rate may result in excessive potassium solution in the vein, which will not only cause varying degrees of damage to the veins but also damage the patient's heart function, and in severe cases may even cause cardiac arrest. For patients with fracture soft tissue edema, too slow an infusion rate will affect the treatment effect; For medical staff, large-scale medical environments require dealing with a large number of infusion patients every day. In addition to the complex workload, they also need to spend a lot of time and energy to manage and monitor the infusion process of each patient, which puts a certain amount of pressure on hospital resources and manpower costs. Not only that, including adjusting the infusion speed, monitoring patient reactions and the remaining amount of medicine, this dependence makes the infusion process susceptible to human factors, such as negligence, fatigue or misjudgment, which may lead to inaccurate infusion speed or failure to replace the medicine bottle in time, increasing patient safety risks.

[0003] The existing infusion system relies on nurses to manually adjust the infusion speed and to determine whether the medicine bottle needs to be replaced or the infusion device needs to be removed by irregularly checking the remaining volume of each patient's current medicine. There is a lack of effective information exchange channels between patients and medical staff, resulting in many problems not being reflected and resolved in a timely manner, and failing to better meet the needs of medical staff and patients' families.

[0004] To solve the above problems, the present invention has designed a new, intelligent and efficient infusion drip system, which can measure the patient's heart rate in real time, monitor the infusion progress in real time and effectively control the infusion speed, send infusion bottle replacement information to the cloud in time and provide prompts and warnings, which can reduce the burden on medical staff and ensure the safety of patients more intelligently. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent intravenous infusion data monitoring and control system to solve the above-mentioned deficiencies in the technology.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: an intelligent intravenous infusion data monitoring and control system, including a nurse terminal, a plurality of patient terminals and a drip rate measuring terminal; The nurse terminal includes an AEC circuit, a power supply a, a low-power Bluetooth BLE a, an ESP-SR voice framework a, an ESP32-S3 microcontroller a, an audio codec circuit a, an audio digital-to-analog conversion circuit, an audio power amplifier circuit, a microphone a, a TFT display screen a and a speaker a, and the ESP32-S3 microcontroller a is a core processing unit; The drip rate measuring end includes a power supply b, an ESP32-C3 microcontroller b, a low-power Bluetooth BLE b, a button, a photoelectric sensor and an indicator light. The ESP32-C3 microcontroller b is a core processing unit, and the photoelectric sensor ITR1150 (16) is used to detect the number of drips. The drip rate measurement end is equipped with a photoelectric switch, an LM393 comparator, a TP4056 charging module, an SX1308 boost converter and an SPX3819 buck converter; This end is powered by an external lithium battery, which is boosted to 5V by SX1308 and then stepped down to 3.3V by SPX3819 for use by the MCU. The TP4056 module is responsible for charging the lithium battery through the USB interface; The photoelectric switch uses the switching characteristics of the internal transistor to detect the passage of liquid. When the liquid passes through, the transistor is cut off, and the non-inverting input of the LM393 comparator receives a high level, causing the comparator to output a high impedance state. After passing through the pull-up resistor, the IO port of the MCU reads a high level signal. On the contrary, when no liquid passes through, the transistor is turned on, LM393 outputs a low level, and the IO port of the MCU reads a low level signal; By monitoring the level change of the IO port, the drip rate measurement terminal can accurately measure the liquid drip rate; The patient end includes a heart rate / blood oxygen monitoring module, a power supply c, a microphone b, a low-power Bluetooth BLE c, an ESP32-S3 microcontroller c, an ESP-SR voice framework b, a TFT display screen c, an audio codec circuit b and a speaker b. The ESP32-S3 microcontroller c is a core processing unit. The heart rate / blood oxygen monitoring module is connected to the ESP32-S3 microcontroller c via an IIC bus for collecting the user's heart rate and blood oxygen saturation data.

[0007] Furthermore, the nurse side, the patient side and the drip rate measurement side are connected via the low-power Bluetooth BLEa. The nurse side establishes a connection with the patient side's low-power Bluetooth BLEc via the low-power Bluetooth BLEa to obtain the data displayed on the patient side and display it on its own TFT display screen a. The patient side is connected to the drip rate measurement side's low-power Bluetooth BLEb via the low-power Bluetooth BLEc to obtain the drip rate measurement data and display it on its own TFT display screen c.

[0008] Furthermore, the nurse terminal has audio output and input functions, and realizes sound reminders and voice interactions based on microphone a and speaker a, which are used to notify nurses to change dressings or handle other emergency situations.

[0009] Further, the input of the nurse-side microphone a is electrically connected to the ESP32-S3 microcontroller a through the audio digital-to-analog conversion circuit and the ESP-SR voice framework a; The output of the speaker a is sent through the ESP32-S3 microcontroller a, which is electrically connected to the audio codec circuit a and the audio power amplifier circuit.

[0010] Further, the input of the patient-side microphone b is electrically connected to the ESP32-S3 microcontroller c through the ESP-SR speech framework b; The output of the speaker b is sent through the ESP32-S3 microcontroller c and is electrically connected to the audio codec circuit b.

[0011] Furthermore, the housing of the dripping rate measuring end adopts a slide rail fixing structure to fix the dripping rate measuring end in a suitable position, thereby reducing the measurement error and improving the measurement accuracy, and the button is used to control and adjust the dripping rate measuring end.

[0012] Furthermore, the power supply a, power supply b and power supply c are used to supply power to the nurse end, the patient end and the dripping rate measuring end respectively.

[0013] Furthermore, the patient-side data can also be displayed in real time on the WeChat applet.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention closely combines Internet of Things technology with clinical nursing, monitors the patient's infusion status in real time more accurately and efficiently, and improves the safety and effectiveness of infusion therapy; At the same time, the system's remote monitoring function also provides great convenience for medical staff and reduces their workload; It is of great significance to ensure the safety of intravenous infusion, improve the efficiency of intravenous infusion, and bring a more convenient and fast medical environment to patients and medical staff. It can be widely used in various medical places. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 An overall block diagram of an intelligent intravenous infusion data monitoring and control system provided by an embodiment of the present invention; Figure 2 A nurse-side system block diagram of an intelligent intravenous infusion data monitoring and control system provided by the present invention; Figure 3 A system block diagram of a drip rate measuring end of an intelligent intravenous infusion data monitoring and control system provided by the present invention; Figure 4 A patient-side system block diagram of an intelligent intravenous infusion data monitoring and control system provided by the present invention; Figure 5 A circuit schematic diagram of a drip rate measuring end of an intelligent intravenous infusion data monitoring and control system provided by the present invention; Figure 6 A schematic diagram of a housing slide rail fixing structure of a drip rate measuring end of an intelligent intravenous infusion data monitoring and control system provided by the present invention.

[0016] Legend: 1. AEC circuit; 2. Power supply a; 3. Low-power Bluetooth BLE a; 4. ESP-SR voice framework a; 5. ESP32-S3 microcontroller a; 6. Audio codec circuit a; 7. Audio digital-to-analog conversion circuit; 8. Audio power amplifier circuit; 9. Microphone a; 10. TFT display screen a; 11. Speaker a; 12. Power supply b; 13. ESP32-C3 microcontroller b; 14. Low-power Bluetooth BLE b; 15. Button; 16. Photoelectric sensor; 17. Indicator light; 18. Heart rate / blood oxygen monitoring module; 19. Power supply c; 20. Patient-side microphone b; 21. Low-power Bluetooth BLE c; 22. ESP32-S3 microcontroller c; 23. ESP-SR voice framework b; 24. TFT display screen c; 26. Speaker b. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0018] To facilitate understanding of the present invention, the present invention will be described more comprehensively below with reference to related references, and several embodiments of the present invention are given. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0019] It should be noted that when an element is referred to as being "fixed on" another element, it may be directly on the other element or there may also be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used in this article are for illustrative purposes only.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this article includes any and all combinations of one or more related listed items.

[0021] Figure 1-4 A block diagram of an intelligent intravenous infusion data monitoring and control system provided by an embodiment of the present invention, the system includes a nurse terminal, several patient terminals and a drip rate measurement terminal; Figure 2 As shown, the nurse terminal includes an AEC circuit 1, a power supply a2, a low-power Bluetooth BLE a3, an ESP-SR voice framework a4, an ESP32-S3 microcontroller a5, an audio codec circuit a6, an audio digital-to-analog conversion circuit 7, an audio power amplifier circuit 8, a microphone a9, a TFT display screen a10 and a speaker a11, and the ESP32-S3 microcontroller a5 is a core processing unit; Figure 3 As shown, the dripping speed measuring end includes a power supply b12, an ESP32-C3 microcontroller b13, a low-power Bluetooth BLE b14, a button 15, a photoelectric sensor 16 and an indicator light 17, and the ESP32-C3 microcontroller b13 is a core processing unit; Figure 4 As shown, the patient end includes a heart rate / blood oxygen monitoring module 18, a power supply c19, a microphone b20, a low-power Bluetooth BLE c21, an ESP32-S3 microcontroller c22, an ESP-SR voice framework b23, a TFT display screen c24, an audio codec circuit b25 and a speaker b26. The ESP32-S3 microcontroller c22 is the core processing unit. The heart rate / blood oxygen monitoring module 18 is connected to the ESP32-S3 microcontroller c22 via an IIC bus for collecting the user's heart rate and blood oxygen saturation data.

[0022] It should be added that the nurse side, the patient side and the drip rate measurement side are connected through the low-power Bluetooth BLEa3. The nurse side establishes a connection with the patient side's low-power Bluetooth BLEc21 through the low-power Bluetooth BLEa3 to obtain the data displayed on the patient side and display it on its own TFT display screen a10. The patient side connects with the drip rate measurement side's low-power Bluetooth BLEb14 through the low-power Bluetooth BLEc21 to obtain the drip rate measurement data and display it on its own TFT display screen c24.

[0023] The nurse end has audio output and input functions, and realizes sound reminders and voice interactions based on microphone a9 and speaker a11, which are used to notify nurses to change dressings or handle other emergency situations.

[0024] The input of the nurse-side microphone a9 is electrically connected to the ESP32-S3 microcontroller a5 through the audio digital-to-analog conversion circuit 7 and the ESP-SR voice framework a4; The output of the speaker a11 is sent through the ESP32-S3 microcontroller a5 and is electrically connected to the audio codec circuit a6 and the audio power amplifier circuit 8.

[0025] The input of the patient-side microphone b20 is electrically connected to the ESP32-S3 microcontroller c22 through the ESP-SR speech framework b23; The output of the speaker b26 is transmitted through the ESP32-S3 microcontroller c22 and electrically connected to the audio codec circuit b25.

[0026] Furthermore, the power supply a2, the power supply b12 and the power supply c19 are used to supply power to the nurse end, the patient end and the drip rate measuring end respectively.

[0027] The patient's data can also be displayed in real time on the WeChat mini program.

[0028] Figure 5 The circuit schematic diagram of the drip rate measurement end of an intelligent intravenous infusion data monitoring and control system provided by the present invention is as follows: The drip rate measurement end is equipped with a photoelectric switch, LM393 comparator, TP4056 charging module, SX1308 boost converter and SPX3819 buck converter; This end is powered by an external lithium battery, which is boosted to 5V by SX1308 and then stepped down to 3.3V by SPX3819 for use by the MCU. The TP4056 module is responsible for charging the lithium battery through the USB interface; The photoelectric switch uses the switching characteristics of the internal transistor to detect the passage of liquid. When the liquid passes through, the transistor is cut off, and the non-inverting input of the LM393 comparator receives a high level, causing the comparator to output a high impedance state. After passing through the pull-up resistor, the IO port of the MCU reads a high level signal. By monitoring the level change of the IO port, the drip rate measurement terminal can accurately measure the liquid drip rate; Figure 6 A schematic diagram of a housing slide rail fixing structure of a drip rate measuring end of an intelligent intravenous infusion data monitoring and control system provided by the present invention, wherein the housing of the drip rate measuring end adopts a slide rail fixing structure, and the slide rail fixing structure is an arc buckle, which fixes the drip rate measuring end in a suitable position to reduce the measurement error, thereby improving the measurement accuracy, and button 15 is used to control and adjust the drip rate measuring end.

[0029] Working principle: The drip rate measurement module (drip rate measurement end) uses the ITR115016 photoelectric sensor to detect the total number of drops within 30 seconds. When there is a droplet blocking the flow, pin 10 outputs a high level, otherwise it outputs a low level to record the number of drops, and then calculate the drip rate. Combined with the total capacity of the medicine bottle pre-set by the WeChat applet, the system can estimate the remaining infusion time and remaining capacity. Finally, the data is synchronously transmitted to the patient, nurse and WeChat applet through the low-power Bluetooth BLEb14 of ESP32-C3b13.

[0030] After the patient side (slave side) receives the drip rate, remaining time, and remaining capacity data, it is displayed on the TFT screen b25. The patient can control the heart rate / blood oxygen detection module of the device through the ESP-SR voice framework b23 to measure the heart rate and blood oxygen saturation, and display the measurement results on the TFT screen b25. The patient can also call the nurse by voice or manually on the patient side. The patient or the patient's family can also view the infusion information through the WeChat applet; After the nurse side (host side) receives data from multiple patient sides, it displays it on the TFT screen a10. When it is monitored that the remaining infusion time of a patient is less than 3 minutes, the system will automatically notify the nursing staff through voice broadcast and screen display that the patient's infusion is about to end. If the detected drip rate, heart rate / blood oxygen is abnormal or the patient calls the nurse, the nurse will be reminded by voice to deal with it in time.

[0031] In summary, in order to adapt to medical environments of different sizes, the drip system can flexibly adjust its deployment scheme to achieve optimal functionality and economic benefits; In large medical institutions, the number of slave devices can be expanded on a large scale to increase the user coverage of the system. This not only ensures that more patients can enjoy the convenience brought by the system, but also improves the efficiency and quality of overall medical services through centralized management and monitoring, thereby maximizing the functions and advantages of the drip system.

[0032] For small medical clinics or home use scenarios, the system can be simplified to include only a drip rate measurement module and a WeChat applet. This streamlined design not only meets basic monitoring needs, but also greatly reduces deployment costs by reducing additional hardware equipment, allowing more small medical institutions and individual users with limited resources to easily use the system.

[0033] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent intravenous infusion data monitoring and control system, Features: It includes a nurse terminal, several patient terminals and a drip rate measurement terminal; The nurse terminal comprises an AEC circuit (1), a power supply a (2), a low-power Bluetooth BLE a (3), an ESP-SR voice framework a (4), an ESP32-S3 microcontroller a (5), an audio codec circuit a (6), an audio digital-to-analog conversion circuit (7), an audio power amplifier circuit (8), a microphone a (9), a TFT display screen a (10) and a speaker a (11), wherein the ESP32-S3 microcontroller a (5) is a core processing unit; The drip rate measuring end comprises a power supply b (12), an ESP32-C3 microcontroller b (13), a low-power Bluetooth BLE b (14), a button (15), a photoelectric sensor (16) and an indicator light (17), wherein the ESP32-C3 microcontroller b (13) is a core processing unit, and the photoelectric sensor ITR1150 (16) is used to detect the number of drips; The drip rate measurement end is equipped with a photoelectric switch, an LM393 comparator, a TP4056 charging module, an SX1308 boost converter and an SPX3819 buck converter; This end is powered by an external lithium battery, which is boosted to 5V by SX1308 and then stepped down to 3.3V by SPX3819 for use by the MCU; The TP4056 module is responsible for charging the lithium battery through the USB interface; The photoelectric switch uses the switching characteristics of the internal transistor to detect the passage of liquid. When the liquid passes through, the transistor is cut off, and the non-inverting input of the LM393 comparator receives a high level, causing the comparator to output a high impedance state. After passing through the pull-up resistor, the IO port of the MCU reads a high level signal. On the contrary, when no liquid passes through, the transistor is turned on, LM393 outputs a low level, and the IO port of the MCU reads a low level signal; By monitoring the level change of the IO port, the drip rate measurement terminal can accurately measure the liquid drip rate; The patient end comprises a heart rate / blood oxygen monitoring module (18), a power supply c (19), a microphone b (20), a low-power Bluetooth BLE c (21), an ESP32-S3 microcontroller c (22), an ESP-SR voice framework b (23), a TFT display screen c (24), an audio codec circuit b (25) and a speaker b (26), wherein the ESP32-S3 microcontroller c (22) is a core processing unit, and the heart rate / blood oxygen monitoring module (18) is connected to the ESP32-S3 microcontroller c (22) via an IIC bus, and is used to collect the user's heart rate and blood oxygen saturation data.

2. According to claim 1, an intelligent intravenous infusion data monitoring and control system, Features: The nurse end, the patient end and the dripping rate measuring end are connected via a low-power Bluetooth LEa (3). The nurse end establishes a connection with a low-power Bluetooth LEc (21) on the patient end via the low-power Bluetooth LEa (3), obtains data displayed on the patient end, and displays it on its own TFT display screen a (10). The patient end connects with a low-power Bluetooth LEb (14) on the dripping rate measuring end via the low-power Bluetooth LEc (21), obtains dripping rate measurement data, and displays it on its own TFT display screen c (24).

3. According to claim 1, an intelligent intravenous infusion data monitoring and control system, Features: The nurse terminal has audio output and input functions, and realizes sound reminders and voice interactions based on a microphone a (9) and a speaker a (11), so as to notify nurses to change dressings or handle other emergency situations.

4. According to claim 3, an intelligent intravenous infusion data monitoring and control system, Features: The input of the nurse-side microphone a (9) is electrically connected to the ESP32-S3 microcontroller a (5) through the audio digital-to-analog conversion circuit (7) and the ESP-SR voice framework a (4); The output of the speaker a (11) is sent through the ESP32-S3 microcontroller a (5) and is electrically connected to the audio codec circuit a (6) and the audio power amplifier circuit (8).

5. According to claim 1, an intelligent intravenous infusion data monitoring and control system, Features: The input of the patient-side microphone b (20) is electrically connected to the ESP32-S3 microcontroller c (22) via the ESP-SR speech framework b (23); The output of the speaker b (26) is sent through the ESP32-S3 microcontroller c (22) and is electrically connected to the audio codec circuit b (25).

6. The intelligent intravenous infusion data monitoring and control system according to claim 1, Features: The housing of the dripping speed measuring end adopts a slide rail fixing structure to fix the dripping speed measuring end at a suitable position, thereby reducing the measurement error and improving the measurement accuracy, and the button (15) is used to control and adjust the dripping speed measuring end.

7. The intelligent intravenous infusion data monitoring and control system according to claim 1, Features: The power supply a (2), the power supply b (12) and the power supply c (19) are used to supply power to the nurse end, the patient end and the dripping rate measuring end respectively.

8. The intelligent intravenous infusion data monitoring and control system according to claim 2, Features: The patient-side data can also be displayed in real time on the WeChat applet.

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