Transfusion abnormity intelligent locking and calling linkage method based on universal adaptation

Abstract

The invention provides an infusion abnormity intelligent locking and calling linkage method based on general adaptation, and relates to the technical field of medical care auxiliary technologies, the infusion abnormity intelligent locking and calling linkage method comprises the following steps: monitoring a liquid flow state in an infusion tube in real time through an optical sensor, when the infusion tube is in an empty tube state, an empty tube signal is generated, and the empty tube signal judges whether a transient bubble false alarm exists or not through a built-in algorithm, so that the accuracy is ensured. According to the infusion abnormity intelligent locking and calling linkage method based on general adaptation, an intelligent locking and automatic calling linkage mechanism is introduced, when infusion abnormity occurs, liquid flowing can be rapidly detected and cut off, and potential risks caused by empty pipe or bubble false alarm are prevented. Through linkage of a wireless communication technology and a calling robot, a ward calling system is automatically triggered, automatic calling without manual operation of a patient or an accompanying person is realized, and the efficiency and safety of patient nursing are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical care assistance, in particular to an infusion abnormality intelligent locking and calling linkage method based on general adaptation. BACKGROUND

[0002] At present, in the field of medical accompanying devices, various technical solutions have been proposed and applied. The main function of these devices is to monitor the infusion state of the patient and issue an alarm in a timely manner to ensure that the patient will not develop complications due to blockage or emptying of the infusion tube. The traditional infusion alarm generally detects the liquid state in the infusion tube through pressure sensing, flow monitoring or photoelectric sensor, etc. Once the device detects that the infusion is approaching the end or the liquid flow is abnormal, it will issue an alarm signal to remind the patient or accompanying personnel to intervene. On this basis, some devices also have the function of locking the infusion tube, that is, when an alarm is issued, a motor is automatically started to physically clamp the infusion tube to prevent the liquid from continuing to flow and reduce the risk of emptying back blood. This locking function is achieved through mechanical devices and has certain safety, which can effectively prevent potential medical risks. In addition, with the progress of medical technology, more and more products begin to be equipped with a calling system, so that the patient can press the call button on the bedside or other interface to request a nurse to come and handle after receiving the alarm, further improving the controllability of the patient during the infusion process.

[0003] Although the existing infusion accompanying devices have made some progress in the functions of alarm, locking and calling, there are still significant deficiencies. The most core defect is that although the existing devices can realize the functions of alarm and locking, most of them fail to solve the problem of automatically calling nursing personnel. The traditional device is prone to false alarms and has a loud alarm volume, which not only disturbs the quiet environment of the ward, but also cannot effectively solve the problem of frequent manual operation of the call button by the accompanying personnel at night. The patient or accompanying personnel still needs to press the call button personally to inform the nurse station to handle, increasing the complexity of operation. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides an infusion abnormality intelligent locking and calling linkage method based on general adaptation, which solves the technical problem of how to realize shunting and reflect weak noise to improve the noise reduction efficiency, and the installation position of the exhaust cylinder is adapted to the functions of more models of all-terrain vehicles.

[0005] In order to achieve the above object, the present application is realized by the following technical scheme: the intelligent locking and calling linkage method based on general adaptation of infusion abnormality, comprising: S1. Real-time monitoring of liquid flow state in the infusion tube through an optical sensor, the optical sensor detects liquid flow characteristics based on photoelectric effect, generates an empty tube signal when the empty tube state appears in the infusion tube, and judges whether there is a temporary bubble false alarm through an embedded algorithm to ensure accuracy.

[0006] S2. Installing an alarm, a caller and a calling robot in a patient room, the alarm sends a directional sound alarm when the empty tube signal is detected, the infusion tube is physically locked through a mechanical clamping method, the liquid continues to flow, and safety hazards such as backflow or back bleeding in the infusion tube are prevented, the locking has adjustability, and the user can select to open or close the locking function according to needs.

[0007] S3. The alarm and the calling robot are connected through a wireless communication protocol, when the alarm sends an alarm signal, a wireless signal is immediately transmitted to the calling robot to drive the calling robot to press the caller in the patient room to realize automatic calling of medical staff for processing.

[0008] S4. Provide a mute mode of the alarm, when the user selects to enable the mute mode, the alarm does not send any sound alarm, only the calling robot executes automatic pressing of the button of the bedside caller in the patient room to realize silent calling to ensure the quietness of the patient room.

[0009] S5. The alarm and the calling robot are both equipped with a self-definable control interface, and the user can manually open or close the alarm, locking and calling functions according to actual needs.

[0010] Preferably, the detection of the liquid flow characteristics specifically comprises the following steps: S1.1 Utilize at least two light sources and a plurality of light receivers respectively located on both sides of the infusion tube, the light sources emit light through the liquid in the infusion tube through light of different wavelengths, and the light receivers receive the transmitted or reflected light signals to obtain the change of light intensity related to the liquid flow state; S1.2 Calculate the ratio of light intensity signals, that is, the ratio of signal transmission intensity and reflection intensity; S1.3 Smooth the collected light intensity signals through a dynamic filtering algorithm to remove noise and extract characteristic changes in the light intensity signals; S1.4 The optical sensor is configured with multiple channels of light, so that the optical sensor can collect signals from different angles, eliminate the deviation caused by single angle error, and the system calculates the ratio of transmission and reflection signals to identify the liquid flow state, the difference between the transmission and reflection signal intensity will increase significantly when the liquid is close to the end.

[0011] Preferably, the ratio of the signal transmission intensity to the reflection intensity is specifically:

[0012] wherein, is the transmission signal intensity, is the reflection signal intensity, for characterizing the liquid flow state.

[0013] Preferably, the smoothed signal transmission intensity and the smoothed signal reflection intensity are calculated by: and the for calculating the flow characteristic parameter, and the calculation formula is as follows:

[0014] wherein, is the signal change rate, for quantifying the change amplitude of the signal.

[0015] Preferably, the wireless communication protocol returns to the alarm specifically includes the following steps: S4.1 The calling robot monitors the execution state of the pressing action in real time by the built-in pressure sensor after pressing the call button, and generates a pressing completion signal when the call button is detected to be pressed by the pressure sensor; S4.2 The pressing completion signal is immediately returned to the call button through the wireless communication protocol, so that the system can receive the feedback of the pressing action in real time; S4.3 After the pressing completion signal is confirmed, the alarm will be confirmed by the log, and if the operation fails, the alarm will issue an error prompt and require the calling robot to re-operate.

[0016] Preferably, the returned signal contains operation confirmation information, operation state, pressing duration, operation result and device ID.

[0017] Preferably, the control interface provides multi-level permission management, and the multi-level permission management includes patients, accompanying personnel and medical personnel.

[0018] Preferably, the control interface supports voice recognition and natural language processing.

[0019] The application provides a general-adapted infusion abnormality intelligent locking and calling linkage method. The method has the following beneficial effects: by introducing an intelligent locking and automatic calling linkage mechanism, the liquid flow can be quickly detected and cut off when the infusion is abnormal, thereby preventing potential risks caused by false alarms due to empty tubes or air bubbles. Through wireless communication technology and calling robot linkage, the ward calling system is automatically triggered to realize automatic calling without manual operation of the patient or accompanying personnel, thereby reducing the need for manual intervention and improving the efficiency and safety of patient care.

[0020] The general-adapted infusion abnormality intelligent locking and calling linkage method has high adaptability and flexibility, and the user can adjust the alarm volume, locking function and calling mode according to actual needs. The mute mode can effectively avoid noise interference at night or in special circumstances, and the calling robot can accurately perform the pressing operation according to the needs, ensuring that medical staff can receive and respond to the calling information in the shortest time, thereby improving the quality of nursing service and ensuring a quiet and comfortable ward environment. BRIEF DESCRIPTION OF DRAWINGS

[0021] Fig. 1 is a schematic diagram of the overall structure of the infusion abnormality intelligent locking and calling linkage system; Fig. 2 is a schematic diagram of the optical sensor liquid flow monitoring and alarm mechanism; Fig. 3 is a working principle diagram of infusion abnormality monitoring and automatic calling of medical staff. DETAILED DESCRIPTION

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

[0023] Embodiment one As shown in Figs. 1-3 The application provides a general-adapted infusion abnormality intelligent locking and calling linkage method, which comprises the following steps: S1. Real-time monitoring of the liquid flow state in the infusion tube by an optical sensor, the optical sensor detects the liquid flow characteristics based on the photoelectric effect, and generates an empty tube signal when an empty tube state occurs in the infusion tube. The empty tube signal is judged by a built-in algorithm to determine whether there is a false alarm of a transient air bubble, so as to ensure accuracy.

[0024] S2. Install the alarm, the caller and the calling robot in the patient room. When the empty tube signal is detected, the alarm will issue a directional sound alarm. The physical locking of the infusion tube is achieved by mechanical clamping, which cuts off the continuous flow of liquid and prevents safety hazards such as backflow or back bleeding in the infusion tube. The locking has adjustable property, and the user can choose to open or close the locking function according to needs.

[0025] S3. The alarm and the calling robot are connected through a wireless communication protocol. When the alarm sends an alarm signal, it immediately triggers a wireless signal transmission to the calling robot, which drives the calling robot to press the caller in the patient room, realizing automatic calling of medical staff for processing. The wireless communication protocol returns to the alarm and includes the following steps: S4.1 After the calling robot presses the caller, it monitors the execution status of the pressing action in real time through the built-in pressure sensor. When the pressure sensor detects that the caller is pressed, it generates a pressing completion signal.

[0026] S4.2 The pressing completion signal is immediately returned to the caller through the wireless communication protocol, ensuring that the system can receive feedback of the pressing action in real time. The returned signal contains operation confirmation information, operation status, pressing duration, operation result and device ID.

[0027] S4.3 After receiving the pressing completion signal, the alarm will confirm it through the log. If the operation fails, the alarm will issue an error prompt and require the calling robot to re-operate.

[0028] S4. Provide a mute mode for the alarm. When the user chooses to enable the mute mode, the alarm will not issue any sound alarm, and only the calling robot will automatically press the button of the bedside caller in the patient room, realizing silent calling to ensure the quietness of the patient room.

[0029] S5. The alarm and the calling robot are both equipped with a customizable control interface. Users can manually turn on or off the alarm, locking and calling functions according to actual needs. The control interface provides multi-level permission management, including patients, accompanying personnel and medical staff. The control interface supports voice recognition and natural language processing.

[0030] Example Two Unlike Example One, this example will show how to achieve real-time monitoring and accurate determination of liquid flow through detection of liquid flow characteristics to effectively ensure patient safety.

[0031] The detection of liquid flow characteristics includes the following steps: S1.1 Use at least two light sources and multiple light receivers on both sides of the infusion tube. The light sources emit light through the liquid in the infusion tube with different wavelengths, and the light receivers receive the transmitted or reflected light signals to obtain the changes in light intensity related to the liquid flow state.

[0032] S1.2 Calculate the ratio of light intensity signals, i.e. the ratio of signal transmission intensity and reflection intensity.

[0033] S1.3 Smooth the collected light intensity signals by dynamic filtering algorithm to remove noise and extract characteristic changes in light intensity signals.

[0034] S1.4 The optical sensor uses multi-channel optical configuration to enable the optical sensor to collect signals from different angles, eliminating the deviation caused by single angle error. The system identifies the liquid flow state by calculating the ratio of transmission and reflection signals The difference in intensity of transmission and reflection signals will significantly increase when the liquid is close to the end of the flow. The ratio of signal transmission intensity and reflection intensity is:

[0035] Where, is the transmission signal intensity, is the reflection signal intensity, is used to represent the liquid flow state, when decreases to a preset threshold , the system considers that the liquid flow is close to the end of the flow and may enter the empty tube state.

[0036] Assuming that during the infusion process, the measured transmission signal intensity is 3000mV, and the reflection signal intensity is 1500mV. The system calculates the ratio of transmission signal and reflection signal to determine the liquid flow state:

[0037] In normal flow state, the ratio should remain in a stable range, if the ratio suddenly decreases or increases, the system starts to determine the empty tube or bubble false alarm.

[0038] The smoothed and are used to calculate the flow characteristic parameters, the calculation formula is as follows:

[0039] Where, is the signal change rate, used to quantify the change amplitude of the signal, when and the duration is less than the maximum duration of the bubble When the signal ratio drops below the threshold, the system determines it as a false positive of air bubble and ignores the signal to continue monitoring. If the signal ratio drops below the threshold and stabilizes, the system determines it as an empty tube condition and triggers the alarm and lockout functions. When the signal ratio drops below the threshold, the system determines it as a false positive of air bubble and ignores the signal to continue monitoring. If the signal ratio drops below the threshold and stabilizes, the system determines it as an empty tube condition and triggers the alarm and lockout functions.

[0040] For example, after the signal ratio drops to 0.33, the system calculates the time interval and amplitude of the signal change. Assume the signal decreases from 1.5 to 0.33 in 2 seconds, the signal change rate is 0.58. For example, if the change rate is less than 0.1 mV / s, the signal change rate is below the set minimum threshold, the system ignores the false positive of air bubble and continues monitoring.

[0041] Lockout and alarm triggering: Once the liquid enters the empty tube condition, the system sends a signal to the alarm through the wireless communication protocol, triggers the audible alarm and performs the physical lockout to stop the infusion flow. The system starts the call robot to automatically press the ward call bell to notify the medical staff to handle.

[0042] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. The intelligent locking and call linkage method for abnormal infusion based on universal adaptation is characterized by: include: S1. Real-time monitoring of the liquid flow state within the infusion tube using an optical sensor. The optical sensor detects liquid flow characteristics based on the photoelectric effect and generates an empty tube signal when the infusion tube is empty. The empty tube signal is then used by a built-in algorithm to determine whether there are transient bubble false alarms. S2. Install an alarm, a pager, and a call robot in the ward. When the empty tube signal is detected, the alarm emits a directional sound alarm and physically locks the infusion tube through mechanical clamping. The lock is adjustable. S3. The alarm is connected to the call robot via a wireless communication protocol. When the alarm emits an alarm signal, a wireless signal is immediately triggered to be transmitted to the call robot, driving the call robot to press the call button in the ward; S4 provides a silent mode for the alarm. When the user chooses to enable the silent mode, the alarm does not emit any sound alarm; S5. Both the alarm and the calling robot are equipped with a control interface that can be customized.

2. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 1, characterized in that: The detection of the liquid flow characteristics specifically includes the following steps: S1.1 utilizes at least two light sources and multiple light receivers located on either side of the infusion tube, wherein the light sources emit light of different wavelengths through the liquid in the infusion tube, and the light receivers receive transmitted or reflected light signals to obtain light intensity changes related to the flow state of the liquid; S1.2 Calculate the ratio of the light intensity signal, that is, the ratio of the signal transmission intensity to the reflection intensity; S1.3 smoothing the collected light intensity signal using a dynamic filtering algorithm to remove noise and extract characteristic changes in the light intensity signal; S1.4 The optical sensor is configured with multiple channels, so that the optical sensor can collect signals from different angles.

3. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 2 is characterized in that: The ratio of the signal transmission intensity to the reflection intensity is specifically:

4. Among them, is the transmission signal intensity, is the reflected signal strength, Used to characterize the flow state of liquid.

5. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 3 is characterized in that: The smoothed and stated Used to calculate flow characteristic parameters, the calculation formula is as follows: ， in, It is the signal change rate, which is used to quantify the amplitude of the signal change.

6. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 1 is characterized in that: The wireless communication protocol is transmitted back to the alarm device, specifically including the following steps: S4.1 After the calling button is pressed, the calling robot monitors the execution status of the pressing action in real time through the built-in pressure sensor. When the pressure sensor detects that the calling button is pressed, it generates a pressing completion signal; S4.2 The pressing completion signal is immediately transmitted back to the pager via a wireless communication protocol; S4.3 After the pressing completion signal is received and confirmed, the alarm will confirm it through the log. If the operation fails, the alarm will issue an error prompt and require the calling robot to re-operate.

7. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 1 is characterized in that: The returned signal includes operation confirmation information, operation status, pressing duration, operation result and device ID.

8. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 1 is characterized in that: The control interface provides multi-level authority management, which includes patients, accompanying personnel and medical staff.

9. The method for intelligent locking and call linkage for abnormal infusion based on universal adaptation according to claim 1, characterized in that: The control interface supports voice recognition and natural language processing.

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