Induction monitor attached to drainage bag

Abstract

The invention provides an induction monitor attached to a drainage bag, and relates to the technical field of induction monitoring, and the induction monitor comprises a temperature induction module which comprises a first temperature sensor and a second temperature sensor; the flow velocity sensing module is an ultrasonic sensor and is arranged outside the drainage tube; the fusion early warning module is used for reading the combined time sequence temperature data of the temperature sensing module and the flow velocity data of the flow velocity sensing module, synchronously acquiring user physical sign data, performing early warning identification and establishing an early warning signal; and the alarm module is used for carrying out abnormity report based on the early warning signal. The technical problem that in the prior art, the timeliness of medical response and the rehabilitation effect of a patient are further affected due to the fact that the abnormity of the liquid state of the drainage bag cannot be found in real time through manual monitoring can be solved, and the technical effects of improving the monitoring accuracy and timeliness and improving the medical response speed are achieved.

Description

Technical Field

[0001] The present application relates to the field of inductive monitoring technology, and in particular to an inductive monitor attached to a drainage bag. Background Art

[0002] In the current medical environment, the quality of postoperative patient care is closely related to condition monitoring, especially during the recovery process after major operations such as liver surgery, the status of the patient's drainage fluid is one of the important monitoring indicators. Typically, doctors and nurses rely on manual inspection or regular inspection of the fluid temperature and flow rate in the drainage bag to assess the patient's recovery. However, existing technologies are flawed in many aspects.

[0003] At present, manual monitoring is not only labor-intensive, but also easily affected by human factors, which may lead to inaccurate or missing data. For example, medical staff may neglect to check the drainage bags of some patients due to busy work or other factors, thus missing the best time to discover patient problems. Secondly, the manual monitoring method cannot achieve real-time feedback. Even if the data is abnormal, doctors can only find it during regular inspections, and it is difficult to take effective intervention measures in time. For example, when the temperature of the liquid in the drainage bag rises abnormally, or the flow rate changes dramatically, manual inspection may not be able to detect it in the first time, resulting in failure to deal with emergencies such as active bleeding in time, affecting the patient's recovery effect.

[0004] In summary, the prior art has a technical problem that manual monitoring relies on regular inspections by medical staff, which makes it impossible to detect abnormalities in the drainage bag liquid state in real time, further affecting the timeliness of medical response and the patient's rehabilitation effect. Summary of the invention

[0005] The purpose of this application is to provide an inductive monitor attached to a drainage bag to solve the technical problem in the prior art that manual monitoring relies on regular inspections by medical staff, resulting in the inability to detect abnormalities in the liquid state of the drainage bag in real time, further affecting the timeliness of medical response and the patient's rehabilitation effect.

[0006] In view of the above problems, the present application provides a sensing monitor attached to a drainage bag, comprising: a temperature sensing module, the temperature sensing module comprising a first temperature sensor and a second temperature sensor, the first temperature sensor being a non-contact infrared temperature sensor, the second temperature sensor being a bonded thermistor sensor, the first temperature sensor being fixed to the housing of the sensing monitor, and the second temperature sensor being bonded to the bag body of the drainage bag; a flow velocity sensing module, the flow velocity sensing module being an ultrasonic sensor, disposed outside the drainage tube; a fusion warning module, for reading the combined time-series temperature data of the temperature sensing module and the flow velocity data of the flow velocity sensing module, and synchronously acquiring user vital sign data, performing warning identification based on the user vital sign data, flow velocity data and combined time-series temperature data, and establishing a warning signal; an alarm module, for connecting to electronic equipment and reporting abnormalities based on the warning signal.

[0007] The technical solution provided in this application has at least the following technical effects or advantages:

[0008] Through the temperature sensing module, the temperature sensing module includes a first temperature sensor and a second temperature sensor, the first temperature sensor is a non-contact infrared temperature sensor, the second temperature sensor is a bonded thermistor sensor, the first temperature sensor is fixed on the sensing monitor housing, and the second temperature sensor is bonded to the drainage bag body; a flow velocity sensing module, the flow velocity sensing module is an ultrasonic sensor, and is arranged outside the drainage tube; a fusion warning module, used to read the combined time-series temperature data of the temperature sensing module and the flow velocity data of the flow velocity sensing module, and synchronously obtain the user's vital sign data, based on the user's vital sign data, flow velocity data and combined time-series temperature data, to perform warning identification and establish a warning signal; an alarm module, used to connect electronic equipment and report abnormalities based on the warning signal, that is, by realizing real-time automatic monitoring and intelligent warning of the liquid state of the drainage bag, the technical effect of improving monitoring accuracy, timeliness and medical response speed is achieved, and ensuring that patients can receive timely treatment when abnormal situations occur.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a schematic diagram of the structure of a sensor monitor attached to a drainage bag in the present application;

[0012] Figure 2 A schematic diagram of a process for establishing a warning signal in a sensor monitor attached to a drainage bag according to the present application.

[0013] Description of reference numerals:

[0014] Temperature sensing module 11, flow velocity sensing module 12, fusion warning module 13, alarm module 14. DETAILED DESCRIPTION

[0015] This application provides a sensor monitor attached to the drainage bag, which solves the technical problem in the prior art that manual monitoring relies on regular inspections by medical staff, resulting in the inability to detect abnormalities in the drainage bag liquid state in real time, further affecting the timeliness of medical response and the patient's rehabilitation effect. The application realizes real-time automatic monitoring and intelligent early warning of the drainage bag liquid state, thereby achieving the technical effect of improving monitoring accuracy, timeliness and medical response speed, and ensuring that patients can receive timely treatment when abnormal situations occur.

[0016] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0017] Please refer to the attached Figure 1 The present application provides a sensor monitor attached to a drainage bag, specifically comprising:

[0018] The temperature sensing module 11 includes a first temperature sensor and a second temperature sensor. The first temperature sensor is a non-contact infrared temperature sensor, and the second temperature sensor is a bonded thermistor sensor. The first temperature sensor is fixed to the housing of the sensing monitor, and the second temperature sensor is bonded to the drainage bag body.

[0019] Specifically, the temperature sensing module 11 is composed of a first temperature sensor and a second temperature sensor, which work together to achieve accurate temperature measurement. The first temperature sensor is a non-contact infrared temperature sensor that measures the surface temperature of the drainage bag by the intensity of infrared radiation. It does not require direct contact with the liquid and is suitable for fast and long-distance temperature monitoring. The second temperature sensor is a laminated thermistor sensor, which is tightly attached to the bag body of the drainage bag and can directly measure the precise temperature of the bag body liquid, improving the stability of the measurement results and the ability to capture subtle fluctuations. Through the collaboration of the two sensors, the non-contact sensor provides the overall surface temperature trend, while the laminated sensor accurately monitors local temperature changes, reflecting the correlation and change rules between the two. The dual sensor design not only improves the adaptability of the temperature sensing module, but also makes the measurement results more valuable for reference, providing high-precision data support for real-time monitoring of liquid status.

[0020] The flow velocity sensing module 12 is an ultrasonic sensor and is disposed outside the drainage tube.

[0021] Specifically, the flow rate sensing module uses an ultrasonic sensor to measure the flow rate by the difference in the propagation speed of ultrasound in the liquid. The ultrasonic sensor is fixed on the outside of the drainage tube and can complete the detection without direct contact with the liquid, avoiding the risk of contamination. The ultrasonic sensor is sensitive to changes in flow rate and is suitable for monitoring the real-time fluctuations of the flow rate of the liquid in the drainage bag, thereby ensuring high-precision and non-invasive measurement, while meeting the strict requirements for safety and efficiency in the medical environment.

[0022] The fusion warning module 13 is used to read the combined time-series temperature data of the temperature sensing module 11 and the flow rate data of the flow rate sensing module 12, and synchronously obtain the user's vital sign data, perform warning identification based on the user's vital sign data, the combined time-series temperature data and the flow rate data, and establish a warning signal.

[0023] Specifically, the fusion warning module 13 combines information from multiple data sources to make more accurate warning judgments. First, read the joint time series temperature data provided by the temperature sensing module 11 and the flow rate data provided by the flow rate sensing module 12. The joint time series temperature data of the temperature sensing module 11 refers to the change of temperature in a time series, while the flow rate data of the flow rate sensing module 12 reflects the change of the liquid flow rate. Next, the fusion warning module 13 synchronously obtains the user's vital sign data, that is, the physiological parameters monitored in real time, such as heart rate, blood pressure, etc., which directly reflect the patient's health status. By combining the user's vital sign data, flow rate data and temperature data, the fusion warning module 13 can perform warning identification and identify possible health risks. Finally, a warning signal is formed to prompt medical staff that further intervention or measures may be needed to improve the quality of patient care and deal with potential problems in a timely manner.

[0024] The alarm module 14 is used to connect to the electronic device and report abnormalities based on the early warning signal.

[0025] Specifically, the alarm module 14 receives and responds to the warning signal through the connection with the electronic device, thereby triggering the abnormal alarm. First, the alarm module 14 communicates with other electronic devices, such as computers, mobile phones or special monitoring equipment, through circuit connection to indicate the detected abnormal situation. Then, when the alarm module 14 receives the warning signal from the fusion warning module 13, it activates the alarm function, such as issuing a sound alarm or flashing lights, to alert medical staff or related personnel to ensure that the staff can respond quickly and take measures, inform medical staff of potential risks in a timely manner, and ensure that patients can receive timely treatment.

[0026] The inductive monitor attached to the drainage bag can realize real-time automatic monitoring and intelligent early warning of the liquid status of the drainage bag, thereby achieving the technical effect of improving monitoring accuracy, timeliness and medical response speed, and ensuring that patients can receive timely treatment when abnormal situations occur.

[0027] Furthermore, the present application further includes: acquiring a first temperature data set and a second temperature data set, wherein the first temperature data set is monitoring data of a first temperature sensor, and the temperature data set is monitoring data of a second temperature sensor; acquiring ambient temperature data in real time, and compensating the first temperature data set based on the ambient temperature data, as follows: in, Characterize the first temperature data at time t after compensation, T IR (t) is the first temperature data at time t, T Env (t) is the ambient temperature data at time t, k is the thermal conductivity correction coefficient of the material; a time series joint analysis is performed based on the compensated first temperature data set and the second temperature data set to establish the joint time series temperature data.

[0028] Specifically, the first temperature data set and the second temperature data set are obtained, and data are collected from the first temperature sensor and the second temperature sensor respectively, wherein the first temperature data set is the surface temperature information collected by the non-contact sensor, and the second temperature data set is the precise temperature of the liquid collected by the contact sensor. The temperature data provided by the two reflect the state of the drainage bag from different angles, forming a two-dimensional basic data support.

[0029] Real-time acquisition of ambient temperature data refers to monitoring the temperature of the surrounding air through an independent ambient temperature sensor. The ambient temperature may affect the reading of the non-contact temperature sensor, so the first temperature data set is compensated to improve the measurement accuracy. The process of compensating the first temperature data set based on the ambient temperature data is achieved through a correction formula to correct the measurement error and improve the reliability of the data.

[0030] It is the first temperature data after compensation, indicating a more accurate temperature value after correction, which is closer to the true value. IR (t) is the first temperature data at time t, which represents the surface temperature value directly measured by the first temperature sensor before compensation, and the data has not been corrected in any way. Env (t) is the ambient temperature data at time t, which indicates the ambient air temperature monitored by the ambient temperature sensor. Changes in ambient temperature data directly affect the compensation result. k is the thermal conductivity correction coefficient of the material, which is used to reflect the thermal conductivity characteristics between the ambient temperature and the surface temperature. Its value is related to the thermal conductivity of the material. For example, for materials with strong thermal conductivity, the k value may be higher, while for materials with poor thermal conductivity, the k value may be lower. The correction coefficient k determines the degree of influence of ambient temperature changes on the compensation value.

[0031] Based on the compensated first temperature data set and the second temperature data set, a time series joint analysis is performed to compare and integrate the two types of temperature data in the time dimension to reveal the trend of temperature changes and potential problems.

[0032] By acquiring and analyzing the first temperature data set, the second temperature data set and the ambient temperature data, and correcting the non-contact temperature data in combination with the compensation formula, high-precision joint time-series temperature data can eventually be formed, providing a scientific basis for real-time warning and problem diagnosis.

[0033] Furthermore, the present application also includes: weighted fusion of the first temperature data set and the second temperature data set after compensation to establish fused temperature data; performing moving average processing on the fused temperature data to establish joint time series temperature data, the formula is as follows: Among them, T smooth (t) is the smoothed temperature data, N represents the size of the moving window, T fused To fuse the temperature data, i represents the time offset.

[0034] Specifically, the compensated first temperature data set and the second temperature data set are weightedly fused to establish fused temperature data. The purpose of weighted fusion is to consider the different contributions of different sensors to temperature data, and to assign higher weights to sensors with higher accuracy. For example, if the reading of the first temperature sensor is more accurate, it can be assigned a higher weight, and the reading of the second temperature sensor is more rough, it can be assigned a lower weight. Finally, a fused temperature data set is obtained.

[0035] Perform moving average processing on the fused temperature data to establish joint time series temperature data. The purpose of moving average processing is to reduce data fluctuations and improve data smoothness. By averaging the temperature data over a period of time, abnormal fluctuations caused by emergencies or noise can be filtered out, thereby obtaining more stable and reliable temperature trend data. For example, the temperature data collected over a period of time may be 36.5 degrees Celsius, 37 degrees Celsius, 36 degrees Celsius, and 36.5 degrees Celsius. After moving average processing, a more stable value, such as 36.5 degrees Celsius, may be obtained.

[0036] T smooth (t) is the smoothed temperature data, and N is the size of the moving window, which determines the range of smoothing. For example, if N is set to five, it means that the average of the temperature data at five time points in a window is calculated to obtain the smoothed result. fused is the fusion temperature data, indicating the fusion temperature data at time point ti.

[0037] By processing the data of multiple sensors through weighted fusion, more accurate fused temperature data can be obtained. Then, the moving average method is used to smooth these data to obtain joint time series temperature data, which helps to remove noise, improve the stability and reliability of temperature data, and provide higher quality data support for subsequent analysis.

[0038] Further, if Figure 2 As shown, the present application also includes: extracting features from user vital sign data, flow rate data and joint time series temperature data respectively, establishing vital sign features, flow rate change rate features, short-term temperature change rate features and long-term trend features; constructing a risk scoring model, using vital sign features, flow rate change rate features, short-term temperature change rate features and long-term trend features as input data, identifying risks through the risk scoring model, and establishing early warning signals.

[0039] Specifically, feature extraction is performed on the user's vital sign data, flow rate data, and joint time-series temperature data for subsequent analysis and judgment. For example, features of physiological parameters such as heart rate and blood pressure may be extracted from the vital sign data; the short-term rate of change of temperature (e.g., the speed at which the temperature changes in a short period of time) and the long-term trend of change (e.g., whether the temperature shows an upward or downward trend) are extracted from the temperature data. The rate of change of the flow rate data is calculated to indicate how fast the flow rate changes over time. Next, the vital sign features, flow rate change rate features, short-term temperature change rate features, and long-term trend features are established, which contain key information about the user's health status. For example, the vital sign features may include the frequency of heartbeats, the regularity of breathing, etc.; the flow rate change rate features reflect the changes in the liquid flow rate, which may indicate whether the patient has abnormal blood flow changes; the short-term temperature change rate features help monitor whether the temperature changes dramatically in a short period of time, while the long-term trend features help determine whether there is a gradual change trend, such as whether the changes in body temperature or vital signs are stable.

[0040] Then, a risk scoring model is constructed and the extracted feature data is used for risk assessment. In the risk scoring model, physical sign features, flow rate change rate features, short-term temperature change rate features, and long-term trend features are used as input data. After being processed by the risk scoring model, the risk currently faced by the user is assessed. For example, when the body temperature fluctuates greatly, the flow rate change rate increases significantly, and the physical sign data shows instability, a higher health risk is identified through the risk scoring model.

[0041] Finally, the risk scoring model is used to identify risks and establish early warning signals to issue timely alerts based on the risk scoring results. For example, if the risk scoring model identifies that the user's health risk score is very high (such as greater than a certain threshold), an alert will be issued through the early warning system to remind medical staff that the user may be at a high risk and needs further monitoring or action.

[0042] By extracting key physiological features from the raw data and converting them into data that is convenient for model analysis, the risk scoring model is then constructed to assess the user's health risks based on these features, and timely issue alarms through the early warning system, ensuring real-time monitoring of the patient's health status and being able to take rapid responses when potential risks arise, thereby reducing the occurrence of health events.

[0043] Furthermore, the present application also includes: a feedback module, which is used to establish a response window based on the early warning signal, and to collect verification data in the response window. If the verification data collection result is an abnormal result, a linkage feedback signal is reported, and the linkage feedback signal is sent to an associated electronic device.

[0044] Specifically, the function of the feedback module is to create a response window based on the received warning signal for the collection of verification data. The response window is a temporary monitoring period for recollecting and checking relevant data to confirm whether there are any abnormalities. For example, when the temperature sensing module and the flow velocity sensing module transmit a warning signal of abnormal temperature or flow velocity, the feedback module starts the response window and recollects data within the time range corresponding to the response window to confirm the authenticity of the problem.

[0045] Next, verify data collection to determine if there are any abnormal results. If the results of the verification data collection indicate that the problem still exists, such as the temperature is still above 37.5 degrees Celsius, or the flow rate continues to be abnormal, then there is a potential health risk. At this time, the feedback module will send a linkage feedback signal based on the collected abnormal data. The linkage feedback signal is a response to the abnormal state and may trigger a response from other devices, such as activating the alarm system, notifying medical staff, etc.

[0046] Finally, the linkage feedback signal will be sent to the associated electronic device. For example, the associated electronic device is the hospital's central monitoring system, the doctor's mobile device, or other electronic devices used for health monitoring. By sending the feedback signal to the associated electronic device in a timely manner, it ensures that the relevant personnel can understand and respond to abnormal situations in the shortest time, thereby further improving the accuracy and timeliness of medical monitoring.

[0047] By establishing a response window to verify data collection, determine whether the data is abnormal and trigger a linkage feedback signal when necessary, monitor and verify changes in health status in real time, and ensure that timely action can be taken when problems occur to ensure patient safety.

[0048] Furthermore, the present application also includes: a capacity monitoring module, which is used to read the capacity data of the drainage bag in real time, generate additional warning information based on the capacity data, and synchronize the additional warning information to the alarm module for warning management.

[0049] Specifically, the function of the capacity monitoring module is to read the capacity data in the drainage bag in real time, continuously monitor the accumulation of liquid in the drainage bag, record the current capacity of the liquid, and ensure that any changes in the capacity are captured in time. By reading the capacity data in real time, timely feedback can be provided to ensure that the liquid status remains within the expected range.

[0050] Then, additional warning information is generated based on the capacity data. For example, if the capacity of the drainage bag drops sharply in a short period of time, or reaches the set critical value, an additional alarm message is generated to provide early warning of potential risks, helping medical staff to pay attention to possible problems in a timely manner.

[0051] Finally, the additional warning information will be synchronized to the alarm module for early warning management. Once the capacity monitoring module generates additional warning information, the alarm module will receive this signal and respond. The alarm module can alert medical staff by making sounds, flashing lights, or sending other types of alarms, and guide them to take necessary measures. For example, if the capacity drops too quickly, the alarm system will immediately sound a loud alarm to ensure that staff respond to this abnormal situation in a timely manner.

[0052] By reading the drainage bag's capacity data in real time, additional warning information is generated and sent to the alarm module for management, helping to monitor the status of the drainage bag, discover potential problems in a timely manner, and ensure that the patient's safety is effectively protected.

[0053] Furthermore, the present application also includes: a component analysis module, which is used to detect the liquid composition of the liquid in the drainage bag, establish a time-series component detection result, perform component change analysis on the time-series component detection result, establish component change characteristics, perform component analysis on the time-series component detection result, establish component characteristics, synchronize the component change characteristics and component characteristics to the fusion warning module, execute additional warning identification, and perform warning management based on the additional warning identification results.

[0054] Specifically, the component analysis module detects the liquid composition in the drainage bag, identifies the various components contained in the liquid, such as blood, liquid exudate or other body fluid components, and determines whether the liquid composition has undergone abnormal changes. For example, if more red blood cells or other abnormal components begin to appear in the liquid, it means the risk of bleeding or infection.

[0055] Next, the time series component detection result is established. The component analysis module will not only detect the components of the liquid in real time, but also continuously record the changes in the components. Through time series recording, it is possible to track the change trend of the liquid components over time and identify whether there are continuous anomalies or fluctuations.

[0056] Then, the composition change analysis is performed on the time series component test results, and the composition change characteristics are established to convert the changes in liquid composition into analyzable data features, so as to better understand and judge whether these changes represent some potential health problems. For example, if the protein concentration in the liquid changes rapidly, it may indicate some organ dysfunction or inflammation.

[0057] Next, we conduct component analysis on the time series component test results, establish component characteristics, and further analyze the liquid components to more accurately evaluate and identify whether there are abnormalities or risks. For example, an increase in white blood cells in the liquid may indicate a sign of infection. Through analysis, we can further confirm whether measures need to be taken.

[0058] Finally, the composition change characteristics and composition characteristics are synchronized to the fusion warning module for additional warning identification, which integrates all monitored data to conduct in-depth risk identification and determine whether there is a potential emergency. Through additional warning identification, alarms for specific problems, such as excessive blood or other dangerous signals, are issued to remind medical staff to respond in time.

[0059] By conducting component detection and time-series analysis on the liquid in the drainage bag, establishing component change characteristics and providing them to the fusion warning module, timely risk identification and warning management can be achieved, which can help medical staff detect potential health problems earlier, take timely action, and ensure patient safety.

[0060] Furthermore, the present application also includes: the alarm modes of the alarm module include buzzer alarm, voice prompt, LED flashing, display screen report, wireless remote push, and central monitoring docking.

[0061] Specifically, the alarm mode of the alarm module 14 includes a buzzer alarm, that is, when an abnormal situation is detected, the buzzer will sound an alarm to quickly attract the attention of medical staff and remind the staff to check and handle it.

[0062] In addition, the alarm module 14 can also issue an alarm through voice prompts. Voice prompts allow medical staff to know the alarm content directly through voice instructions without relying on visual signals. For example, when an abnormal liquid flow rate is detected, a voice prompt "The flow rate is too fast, there may be a risk of bleeding" is issued.

[0063] In addition, LED flashing is also an alarm mode of the alarm module 14. When an emergency occurs, the LED indicator light will flash quickly to remind medical staff to take immediate action. It is suitable for low-noise environments or occasions where multiple alarms are in parallel, and helps to quickly attract attention through visual signals.

[0064] The alarm module 14 can also give an alarm through the display screen, displaying alarm information, such as specific temperature, flow rate change or liquid composition, etc., to help medical staff understand the problem more comprehensively. For example, the display screen may display "temperature is too high" or "flow rate is abnormal", etc., to help staff quickly identify the cause of the problem.

[0065] The alarm module 14 can also realize wireless remote push. Even if the medical staff is not on site, they can receive early warning information through mobile phones or other mobile devices. Medical staff can obtain real-time monitoring data and alarm information anytime and anywhere, which improves work efficiency and response speed.

[0066] Finally, the alarm module 14 can be connected to the central monitoring system to synchronize the alarm information to the hospital's monitoring center in real time, so that the center staff can understand the situation of each patient in a timely manner and ensure that remote support is provided when necessary or coordinate more medical staff to participate in the treatment.

[0067] Through various alarm methods such as buzzer alarm, voice prompt, LED flashing, display screen alarm, wireless remote push and central monitoring docking, it ensures that medical staff can quickly receive early warning information according to different needs and scenarios. The diversified alarm methods improve the accuracy and timeliness of the alarm and ensure the safety and efficiency of the medical process.

[0068] In summary, the induction monitor attached to the drainage bag provided by the present application has the following technical effects:

[0069] Through the temperature sensing module, the temperature sensing module includes a first temperature sensor and a second temperature sensor, the first temperature sensor is a non-contact infrared temperature sensor, the second temperature sensor is a bonded thermistor sensor, the first temperature sensor is fixed on the sensing monitor housing, and the second temperature sensor is bonded to the drainage bag body; a flow velocity sensing module, the flow velocity sensing module is an ultrasonic sensor, and is arranged outside the drainage tube; a fusion warning module, used to read the combined time-series temperature data of the temperature sensing module and the flow velocity data of the flow velocity sensing module, and synchronously obtain the user's vital sign data, based on the user's vital sign data, flow velocity data and combined time-series temperature data, to perform warning identification and establish a warning signal; an alarm module, used to connect electronic equipment and report abnormalities based on the warning signal, that is, by realizing real-time automatic monitoring and intelligent warning of the liquid state of the drainage bag, the technical effect of improving monitoring accuracy, timeliness and medical response speed is achieved, and ensuring that patients can receive timely treatment when abnormal situations occur.

[0070] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0071] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An induction monitor attached to a drainage bag, characterized in that: The induction monitor comprises: A temperature sensing module, the temperature sensing module includes a first temperature sensor and a second temperature sensor, the first temperature sensor is a non-contact infrared temperature sensor, the second temperature sensor is a bonded thermistor sensor, the first temperature sensor is fixed to the housing of the sensing monitor, and the second temperature sensor is bonded to the drainage bag body; A flow velocity sensing module, which is an ultrasonic sensor and is disposed outside the drainage tube; A fusion warning module is used to read the combined time-series temperature data of the temperature sensing module and the flow rate data of the flow rate sensing module, and synchronously obtain the user's vital sign data, perform warning identification based on the user's vital sign data, flow rate data and combined time-series temperature data, and establish a warning signal; The alarm module is used to connect to electronic equipment and report abnormalities based on early warning signals.

2. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The step of reading the combined time series temperature data of the temperature sensing module further includes: Acquire a first temperature data set and a second temperature data set, wherein the first temperature data set is monitoring data of a first temperature sensor, and the temperature data set is monitoring data of a second temperature sensor; The ambient temperature data is acquired in real time, and the first temperature data set is compensated based on the ambient temperature data, as follows: in, Characterize the first temperature data at time t after compensation, T IR (t) is the first temperature data at time t, T Env (t) is the ambient temperature data at time t, k is the material thermal conductivity correction coefficient; A time series joint analysis is performed based on the compensated first temperature data set and the second temperature data set to establish joint time series temperature data.

3. The induction monitor attached to the drainage bag as claimed in claim 2, characterized in that: The performing time series joint analysis according to the compensated first temperature data set and the second temperature data set to establish joint time series temperature data also includes: Performing weighted fusion on the compensated first temperature data set and the second temperature data set to establish fused temperature data; Perform moving average processing on the fused temperature data to establish joint time series temperature data. The formula is as follows: Among them, T smooth (t) is the smoothed temperature data, N represents the size of the moving window, T fused To fuse the temperature data, i represents the time offset.

4. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The performing early warning identification based on the user's vital sign data, flow rate data and joint time series temperature data and establishing an early warning signal also includes: Feature extraction is performed on user vital sign data, flow rate data and joint time series temperature data respectively, and vital sign features, flow rate change rate features, temperature short-term change rate features and long-term trend features are established; A risk scoring model is constructed, and physical sign characteristics, flow velocity change rate characteristics, short-term temperature change rate characteristics and long-term trend characteristics are used as input data. Risks are identified through the risk scoring model and early warning signals are established.

5. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The induction monitor also includes: The feedback module is used to establish a response window based on the early warning signal, collect verification data in the response window, and report a linkage feedback signal if the verification data collection result is an abnormal result, and send the linkage feedback signal to the associated electronic device.

6. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The induction monitor also includes: The capacity monitoring module is used to read the capacity data of the drainage bag in real time, generate additional warning information based on the capacity data, and synchronize the additional warning information to the alarm module for warning management.

7. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The induction monitor also includes: The component analysis module is used to detect the liquid composition of the liquid in the drainage bag, establish the time-series component detection results, perform component change analysis on the time-series component detection results, establish component change characteristics, perform component analysis on the time-series component detection results, establish component characteristics, synchronize the component change characteristics and component characteristics to the fusion warning module, perform additional warning identification, and perform warning management based on the additional warning identification results.

8. The induction monitor attached to the drainage bag as claimed in claim 1, characterized in that: The alarm modes of the alarm module include buzzer alarm, voice prompt, LED flashing, display screen report, wireless remote push, and central monitoring docking.

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