Liquid drop state detection method and device, computer device and medium
Patent Information
- Application Number
- CN202510096770.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2026-09-04
- Estimated Expiration
- 2045-01-20
Smart Images
Figure CN119950888B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of digital healthcare, and in particular to a method, apparatus, computer device, and medium for detecting the state of liquid droplets. Background Technology
[0002] During interventional procedures, heparinized water is often added to normal saline solution for infusion to prevent thrombosis. Heparinized water, as a potent anticoagulant, prevents the activation of blood clotting factors and is crucial for maintaining blood flow at the surgical site and reducing postoperative complications. However, existing normal saline infusion devices have several problems in this process. For example, most existing devices lack effective detection and alarm mechanisms for abnormalities such as running out of saline solution. On the one hand, during the procedure, medical staff mainly rely on visual observation of the infusion, requiring frequent checks to confirm completion. This not only increases their workload, requiring them to focus on the surgical procedure while also monitoring the remaining saline level, but visual observation is also difficult to perform in real-time and accurately, easily leading to oversights. On the other hand, the lack of timely and effective alarms means that if medical staff are too focused on the procedure and neglect the remaining saline level, treatment may be interrupted. Such interruptions can adversely affect the surgical process, such as affecting the irrigation effect at the surgical site and increasing the risk of thrombosis, thereby jeopardizing the patient's surgical safety and postoperative recovery.
[0003] Therefore, in view of the above-mentioned problems in the existing technology, it is necessary to develop a method that can automatically and accurately detect abnormalities such as saline dripping empty. Summary of the Invention
[0004] This invention provides a method, apparatus, computer device, and medium for detecting liquid dripping status, aiming to solve the technical problem in the prior art that no alarm can be issued when an abnormality occurs in the liquid dripping status.
[0005] To achieve the aforementioned objective, the first aspect of this invention provides a method for detecting the state of liquid dripping, comprising: Determine whether the first droplet signal is collected within a preset time range; If the first dripping signal is not collected within the preset time range, a reminder message will be issued; If the first dripping signal is collected within the preset time range, the reminder message will not be issued.
[0006] Furthermore, the step of determining whether a first droplet signal has been collected within a preset time range includes: Obtain a reference time and a current time, and calculate the difference between the current time and the reference time to obtain the interval time; wherein, the reference time is the time when the droplet's drop signal was collected before the first drop signal was acquired; Determine whether the first drop signal has been collected at the current moment; If the first drop signal is not collected at the current time, it is determined whether the interval time is within the preset time range; If the interval time is not within the preset time range, it is determined that the first drop signal was not collected within the preset time range; If the interval time is within the preset time range, then wait to collect the first drop signal; If the first dripping signal is collected at the current time and the interval is within the preset time range, then it is determined that the first dripping signal was collected within the preset time range.
[0007] Further, before the step of obtaining the reference time and the current time, and calculating the difference between the current time and the reference time to obtain the interval time, the following steps are included: Determine whether the reference time exists; If it exists, then obtain the reference time; If it does not exist, then the current state is determined to be the starting state of liquid dripping, and the current time is taken as the reference time.
[0008] Further, after the step of determining that the first drop signal was collected within the preset time range if the first drop signal is collected at the current time and the interval is within the preset time range, the method includes: The current time is updated to the reference time for the next determination of whether the first drop signal has been collected within the preset time range.
[0009] Furthermore, before the step of determining whether a first droplet signal has been collected within a preset time range, the following steps are included: Obtain a pre-set output speed for the droplet; Based on the output speed, calculate the basic interval time between the two droplets; Based on the aforementioned basic interval time, the preset time range is set.
[0010] Further, the step of determining that the first drop signal was collected within the preset time range if the first drop signal is collected at the current time and the interval is within the preset time range includes: The difference between the interval time and the base interval time is calculated to obtain the first deviation value; Determine whether the first deviation value is within the preset time safety error range; If so, then the first drip signal is determined to be the first drip signal collected within the preset time range; If not, then it is determined that the first drip signal is not the first drip signal collected within the preset time range.
[0011] Further, after the step of issuing a reminder message if the first dripping signal is not collected within the preset time range, the method includes: If the first deviation value is negative, then a first alert message will be issued; If the first deviation value is positive, a second reminder message will be issued.
[0012] A second aspect of the present invention provides a liquid dripping state detection system for use in an infusion device, the infusion device comprising an infusion container and a drip chamber connected to the tubing of the infusion container; the liquid dripping state detection system comprises a light emitting end, a light receiving end, and a main control board, the light emitting end and the light receiving end being disposed on opposite sides of the drip chamber; The optical receiver is used to receive the optical signal value emitted by the optical transmitter and send the optical signal value to the main control board. The main control board uses any of the above-described liquid dripping state detection methods to detect the liquid dripping state based on the optical signal value.
[0013] A third aspect of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the liquid dripping state detection method as described in any of the preceding claims.
[0014] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the liquid dripping state detection method as described in any of the preceding claims. Beneficial effects
[0015] This invention provides a method, apparatus, computer device, and medium for detecting liquid dripping status. The method monitors the liquid dripping process by determining whether a first dripping signal is collected within a preset time range and issuing an alert based on the result. In the medical field, particularly in interventional surgeries where saline and heparin are mixed and infused, this detection method can promptly identify potential risks of dripping abnormalities, preventing treatment interruptions due to undetected drip emptying and improving the safety of fluid infusion during surgery. Simultaneously, the automated detection and alert mechanism reduces the workload of medical staff in continuously manually observing the droplet status, allowing them to focus more on the surgical procedure itself, thus improving surgical efficiency and quality. Attached Figure Description
[0016] Figure 1 A schematic flowchart illustrating a liquid dripping state detection method according to an embodiment of the invention; Figure 2 A flowchart illustrating a method for determining whether a first droplet signal is collected within a preset time range, according to an embodiment of the invention. Figure 3 This is a schematic block diagram of a liquid dripping state detection system according to an embodiment of the invention; Figure 4 This is a schematic diagram of the structure of a computer device according to an embodiment of the invention.
[0017] In the diagram: 10, infusion container; 20, drip chamber; 30, light transmitter; 40, light receiver; 50, main control board.
[0018] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0020] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any modules and all combinations of one or more associated listed items.
[0021] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.
[0022] Reference Figure 1 This invention provides a method for detecting the state of liquid dripping, comprising: S1. Determine whether the first droplet signal is collected within the preset time range; S2. If the first dripping signal is not collected within the preset time range, a reminder message is issued; S3. If the first dripping signal is collected within the preset time range, the reminder message will not be issued.
[0023] As described in step S1 above, the first droplet signal refers to the signal generated when a liquid (such as a droplet in saline solution) drips, as detected by a photoelectric sensing system. In practical applications, taking saline infusion as an example, the system first needs to determine whether the first droplet signal has been received within a preset time range. This is the initial judgment step of the entire detection method, and the preset time range is related to the expected time for normal droplet dripping.
[0024] As described in step S2 above, if no first drop signal is detected within the preset time range, it may indicate an abnormality in the infusion, such as running out of fluid or the drip rate being too slow. In this case, the system will issue a notification so that medical staff can be promptly informed and take appropriate measures, such as checking for blockages in the infusion tubing or whether the infusion has finished.
[0025] As in step S3 above, when the first droplet signal is successfully detected within the preset time range, it indicates that the droplet is in a normal state or at least there is no obvious abnormality at the current stage. The system does not need to issue a reminder and continues to monitor the state of subsequent droplets.
[0026] In this embodiment, the monitoring of the fluid infusion process is achieved by determining whether the first droplet signal is collected within a preset time range and issuing an alert based on the result. In the medical field, particularly in interventional surgeries where saline and heparin are mixed and infused, this detection method can promptly identify potential risks of infusion abnormalities, preventing treatment interruptions due to failure to detect drip emptying and improving the safety of fluid infusion during surgery. Simultaneously, the automated detection and alert mechanism reduces the workload of medical staff in continuously manually observing the droplet status, allowing them to focus more on the surgical procedure itself, thus improving surgical efficiency and quality.
[0027] Reference Figure 2 In one embodiment, step S1, which determines whether a first droplet signal is collected within a preset time range, includes: S11. Obtain the reference time and the current time, and calculate the difference between the current time and the reference time to obtain the interval time; wherein, the reference time is the time when the droplet's drop signal was collected before the first drop signal was collected; S12. Determine whether the first drop signal has been collected at the current time; S13. If the first drop signal is not collected at the current time, determine whether the interval time is within the preset time range; S14. If the interval time is not within the preset time range, it is determined that the first drop signal was not collected within the preset time range; S15. If the interval time is within the preset time range, then wait to collect the first drop signal; S16. If the first dripping signal is collected at the current time and the interval time is within the preset time range, then it is determined that the first dripping signal is collected within the preset time range.
[0028] As described in step S11 above, the reference time is used as a reference point for calculating the droplet interval time. In this embodiment, it specifically refers to the moment when the droplet falling signal was last successfully acquired. It provides a time reference for subsequent judgment on whether the droplet falling is normal. The current time refers to the real-time point when the current detection and judgment are performed. The interval time is the time difference between the current time and the reference time. By calculating this difference, the actual droplet falling interval can be understood so as to compare it with the preset time range.
[0029] As described in step S11 above, in the actual monitoring of saline infusion, it is first necessary to obtain the time when the last droplet fall signal was acquired (reference time) and the current detection time (current time), and then calculate the difference between the two to obtain the actual interval time between droplets. For example, if the last droplet fall signal was acquired at 10:00:00 (reference time) and the current detection time is 10:00:05 (current time), then the interval time is 5 seconds.
[0030] As described in step S12 above, after acquiring the current time, the system immediately determines whether a new droplet falling signal (the first falling signal) has been detected. This step is a crucial step in real-time monitoring of the droplet state.
[0031] As described in steps S13-15 above, if no new droplet falling signal is detected at the current moment, it is necessary to further determine whether the calculated interval time exceeds the preset normal droplet interval time range. This preset time range is determined based on factors such as the normal drip rate of physiological saline and the safety margin. When the interval time exceeds the preset time range, it means that the droplet falling has an abnormal delay, which may be due to the liquid about to run out, the drip rate being too slow, or a pipeline malfunction. In this case, it is determined that no first droplet falling signal has been collected within the preset time range, thereby triggering the subsequent reminder mechanism. If the interval time is within or less than the preset time range, it means that the droplet falling interval is currently in a normal state, and the system continues to wait to collect a new first droplet falling signal for the next round of judgment.
[0032] As in step S16 above, when a new first droplet signal is detected at the current moment, and the previously calculated interval is within the preset time range, it indicates that the droplet's dropping state is normal. The system determines that the first droplet signal has been collected within the preset time range and continues to monitor subsequent droplets according to the normal procedure.
[0033] In this embodiment, by introducing the concepts of a reference time and the current time, the droplet interval is accurately calculated and compared with a preset time range, achieving more accurate and dynamic monitoring of the droplet falling status. In medical infusion scenarios, especially for the precise control of mixed infusions of saline and heparinized water during interventional procedures, this precise monitoring method can detect abnormalities in droplet falling more promptly and accurately. Compared to simple timed detection, it can adapt to the judgment of droplet status at different drip rates, effectively avoiding unnecessary alerts due to misjudgment or risks such as empty drips due to missed judgment. This not only improves the safety of fluid infusion and ensures the smooth progress of surgery, but also reduces the interference caused to medical staff by frequent erroneous alerts, increasing their trust in the system alerts and improving work efficiency.
[0034] In one embodiment, before step S11, which involves obtaining a reference time and the current time, and calculating the difference between the current time and the reference time to obtain the interval time, the method includes: S110. Determine whether the reference time exists; S111. If it exists, then obtain the reference time; S112. If it does not exist, then determine that the current state is the starting state of liquid dripping, and take the current time as the reference time.
[0035] As described in steps S110-S112 above, the initial state of the fluid infusion refers to the initial stage when the fluid begins to drip. At this time, the system has not yet acquired the reference time of the last drop signal because no drop has started dripping or the system has just started monitoring. During system operation, whether it is just starting to monitor the saline infusion or during continuous monitoring, the first operation is to check whether a valid reference time already exists. This judgment is a prerequisite for subsequent operations. If the system has successfully acquired the drop signal before, then a reference time will exist. At this time, the system directly acquires this existing reference time to calculate the drop interval time later. For example, during continuous saline infusion, if multiple drops have already fallen and been detected, the system can acquire the time of the last drop signal as the reference time. When the system is first started or has not acquired a reference time due to some reason (such as restarting the infusion after changing the infusion tubing), the system determines that it is currently in the initial state of fluid infusion. At this time, the system takes the current time as the starting time and sets it as the reference time. For example, when medical staff have just connected the saline infusion line to the patient and started the monitoring system, the system detects that there is no existing reference time at this moment, so it marks this moment as the reference time and uses it as the reference for subsequent calculation of droplet interval time.
[0036] In this embodiment, by determining whether a reference time exists, the system can correctly handle different infusion stages, whether it's the initial infusion or a resumption of infusion midway. In medical infusion scenarios, especially in complex interventional surgical environments, this approach ensures the accuracy and effectiveness of droplet interval calculation. Correctly setting the reference time at the initial state provides an accurate time starting point for droplet status monitoring throughout the entire infusion process. This helps the system accurately determine the droplet's falling status from the beginning, avoiding errors in droplet interval calculation due to incorrect reference time, thereby improving the reliability of liquid droplet status detection. This is crucial for both timely detection of drip emptying risks and ensuring the accuracy of monitoring during normal infusion processes, ultimately guaranteeing the safety and stability of intraoperative fluid infusion.
[0037] In one embodiment, after step S16, which states that if the first dripping signal is collected at the current time and the interval is within the preset time range, the method further includes: S17. Update the current time to the reference time for the next determination of whether the first drop signal has been collected within the preset time range.
[0038] As in step S17 above, updating the reference time means that after the system determines that the current droplet's falling state is normal (i.e., the first droplet signal is collected at the current time and the interval time is within the preset range), the reference time used to calculate the droplet interval time is replaced with the current time so as to provide a new time reference point for the next droplet falling judgment.
[0039] During the infusion of physiological saline or other saline solutions, when the system detects the first droplet of a new droplet and the calculated interval between the current droplet and the previous droplet falls within a preset time range, it indicates that the current droplet's fall is normal. At this point, the system records the current time and uses it as the reference time for the next judgment. For example, if the previous droplet fell at 10:00:00 (the original reference time), and the current droplet falls at 10:00:05 (the current time) with a normal interval, the system will update 10:00:05 as the new reference time. Thus, in the next detection, the new droplet interval time will be calculated based on 10:00:05.
[0040] This embodiment updates the current, normally dripping droplet time to the reference time for the next judgment, enabling the system to continuously and accurately track the dripping rhythm. In medical infusion scenarios, especially in interventional procedures for precise monitoring of mixed saline and heparin infusions, this dynamic reference time update method ensures that the droplet interval calculation is always based on the latest valid data. As the infusion process progresses, the dripping rate may change slightly due to various factors, such as changes in infusion tubing pressure and the remaining fluid volume. Timely reference time updates allow the system to better adapt to these changes and more accurately determine whether the dripping is normal. This helps improve the accuracy of fluid dripping status detection, further reducing the surgical risks caused by undetected dripping or abnormal dripping rates, while also ensuring the stability and reliability of the system monitoring and reducing misjudgments caused by outdated reference times.
[0041] Furthermore, before step S1 of determining whether a first droplet signal has been collected within a preset time range, the following steps are included: S101. Obtain a preset output speed for the droplet; S102. Based on the output speed, calculate the basic interval time between the two droplets; S103. Based on the basic interval time, set the preset time range.
[0042] As described in steps S101-S103 above, the preset output rate refers to the fluid dripping speed pre-set by medical staff based on factors such as the patient's condition, treatment needs, and the specifications of the infusion equipment, in the context of saline infusion. It is typically expressed as drops per minute (drops / min). The baseline interval time is the theoretically ideal interval between two adjacent drops, calculated based on the preset output rate. It is an important reference for determining whether the actual droplet interval is normal. The preset time range is a time interval set around the baseline interval time to determine the acceptable range of the actual droplet interval. This range takes into account normal fluctuations during the droplet dripping process and a certain safety margin.
[0043] Taking the monitoring of saline infusion as an example, before starting to monitor the saline infusion, the system first obtains the preset fluid output rate from the settings parameters of the infusion device or the input from medical staff. For example, if medical staff set the saline infusion rate to 60 drops / min according to the needs of surgery, the system obtains this rate value. Based on the obtained output rate, the system calculates the theoretical interval time between two adjacent drops using a specific calculation formula. If the output rate is X drops / min, then the basic interval time t = 60 * 1000 / X (ms). Taking 60 drops / min as an example, the calculated basic interval time is 1000ms (1 second). After obtaining the basic interval time, the system sets a preset time range according to certain rules and safety considerations, such as rigidly specifying a base interval time with a specified duration added before and after it. This specified duration can be an empirical value. For example, this range is usually based on the base interval time with a certain time value added or subtracted to accommodate normal changes during the droplet delivery process. For example, with a base interval of 1000ms, the preset time range may be set to 800ms - 1200ms. This range allows for some fluctuation in the drip rate, while also providing timely reminders when there is a large deviation in the drip rate.
[0044] In this embodiment, by acquiring a pre-set output rate and calculating a basic interval time, and then setting a preset time range based on this, a scientific and reasonable basis is provided for accurately judging the droplet's falling state. In medical infusion practice, different patients and surgical scenarios have different requirements for the saline drip rate. Accurately acquiring and utilizing this information allows the detection system to better adapt to various situations. A reasonably set preset time range considers both minor changes during normal dripping and effectively captures possible abnormalities such as dripping empty, dripping too fast, or dripping too slow. This helps improve the accuracy and reliability of fluid falling state detection and avoids misjudgments or missed judgments due to an unreasonable preset range. In interventional surgery, accurate fluid infusion monitoring is crucial for maintaining the patient's physiological stability and surgical success. This embodiment effectively ensures this, while also improving the safety of the infusion process and the work efficiency of medical staff.
[0045] In one embodiment, step S16, which determines that the first dripping signal was collected within the preset time range if the first dripping signal is collected at the current time and the interval is within the preset time range, includes: S161. Calculate the difference between the interval time and the base interval time to obtain the first deviation value; S162. Determine whether the first deviation value is within the preset time safety error range; S163. If so, then determine that the first dripping signal is the first dripping signal collected within the preset time range; S164. If not, then determine that the first drip signal is not the first drip signal collected within the preset time range.
[0046] As described in steps S161-S164 above, the first deviation value refers to the difference between the actual measured interval between two adjacent droplets and the base interval calculated based on the preset output speed. It is a quantitative indicator measuring the degree to which the actual droplet dripping rhythm deviates from the theoretical dripping rhythm. For example, if the actual measured droplet interval is 1050 milliseconds and the base interval is calculated to be 1000 milliseconds, then the first deviation value is 1050 - 1000 = 50 milliseconds. The preset time safety error range is a predetermined allowable deviation range, set by comprehensively considering factors such as the physical characteristics of the droplet formation process (e.g., uneven droplet size, minor vibrations during dripping), the accuracy of the infusion device, and reasonable fluctuations in actual clinical operation. It can also be an empirical value. Its purpose is to ensure effective detection of abnormal dripping conditions while avoiding frequent false alarms due to normal minor deviations. For example, the set time safety error range is ±80 milliseconds.
[0047] Taking saline infusion as an example, during the saline infusion process, when the system detects the first drop signal collected at the current moment and the interval between this drop and the previous drop is within the preset time range, the system will perform this calculation step. In a real-world scenario, assuming the preset basic interval time corresponding to the saline output rate is 900 milliseconds, and the currently measured interval between the two droplets is 930 milliseconds, then the calculated first deviation value is 930 - 900 = 30 milliseconds. The system compares the calculated first deviation value with the preset time safety error range. In the example above, the preset time safety error range is ±80 milliseconds, and the calculated first deviation value of 30 milliseconds is within this range. When the first deviation value is within the preset time safety error range, it indicates that although there is a certain deviation between the actual drop interval and the theoretical basic interval time, this deviation is within an acceptable normal range and may be caused by some minor interference factors during the infusion process (such as slight patient movement causing the infusion tubing to shake). Therefore, the system determines that the first drop signal collected is within the normal preset time range, and the droplet falling status is basically normal. It continues to monitor subsequent droplets according to the normal procedure. If the first deviation value exceeds the preset time safety error range, for example, a calculated deviation value of -90 milliseconds (assuming it exceeds the lower limit of -80 milliseconds) or 100 milliseconds (assuming it exceeds the upper limit of 80 milliseconds), it means that the droplet falling rhythm has become significantly abnormal. This may be caused by a malfunction of the infusion device (such as partial blockage of the infusion tubing leading to unstable drip rate) or human factors (such as improper adjustment of the infusion rate). In this case, the system determines that the first drop signal was not collected within the normal preset time range and requires further evaluation of the infusion situation. This may trigger corresponding warning or adjustment mechanisms, such as issuing a warning message to remind medical staff to check the infusion equipment or adjust the infusion rate.
[0048] In this embodiment, the concepts of a first deviation value and a preset time safety error range are introduced, providing a more accurate criterion for determining whether the first droplet falling signal is collected within the preset time range. In medical infusion scenarios, especially in interventional procedures, monitoring the mixed infusion of saline and heparinized water is crucial, as accurate infusion directly affects the patient's treatment outcome and safety. The actual droplet formation and falling process is affected by various complex factors, such as the material and inner diameter of the infusion tubing, changes in the temperature and viscosity of the liquid, and vibrations in the surrounding environment. These factors inevitably lead to fluctuations in the droplet interval time. Simply relying on a fixed preset time range to determine the droplet state may result in misjudgments, either being overly sensitive leading to frequent false alarms or being too insensitive to miss genuine anomalies. By calculating the first deviation value and comparing it with the preset time safety error range, the system can more accurately determine the droplet falling state while considering the actual situation. When the deviation value is within the safe error range, the system can tolerate a certain degree of normal fluctuation, avoiding unnecessary alarms that interfere with the work of medical staff. However, when the deviation value exceeds the range, the system can promptly detect potential infusion abnormalities, such as excessively fast or slow drip rates, or blockages in the infusion tubing, and take corresponding measures, such as issuing accurate alarms to prompt medical staff to conduct inspections and handle the situation. This precise monitoring and judgment mechanism helps improve the safety and stability of the infusion process, ensures the smooth progress of surgery, and reduces the time and effort wasted by medical staff due to misjudgments, thereby improving medical work efficiency.
[0049] Furthermore, after step S3, which involves issuing a reminder message if the first dripping signal is not collected within the preset time range, the following steps are included: S31. If the first deviation value is negative, then issue a first reminder message; S32. If the first deviation value is positive, then issue a second reminder message.
[0050] The first alert message refers to a negative first deviation value, indicating that the actual droplet interval is less than the base interval calculated based on the output speed. This means the droplet falling speed is faster than the preset speed, and the system issues this message to alert medical staff of the abnormal drip rate. The second alert message refers to a positive first deviation value and the absence of a first droplet signal within the preset time range, indicating that the actual droplet interval is too long and exceeds the normal range. This could indicate that the liquid has run out or that there is a malfunction in the liquid delivery pipeline, and the system issues this warning message. Typically, the first and second reminder messages differ in content. The first reminder message can be a preset audio-visual message about an excessively fast drip rate, such as directly providing an audio message about an excessively fast drip rate and / or a rapidly flashing light signal. The second reminder message can issue corresponding preset audio-visual messages based on specific circumstances. For example, if there is still liquid in the infusion container but the first deviation value is positive, it can be determined that there is a fault in the infusion tubing, and an audio message about the tubing fault and / or a corresponding flashing light signal will be issued. If there is no liquid in the infusion container and the first deviation value is positive, it can be determined that the infusion is currently in a state of empty drip, and an audio message about the empty drip and / or a corresponding flashing light signal will be issued.
[0051] Taking the monitoring of saline infusion as an example, during the monitoring process, if the system collects the first drop signal within the preset time range and the calculated first deviation value is negative (e.g., the baseline interval is 1000ms, the actual measured interval is 800ms, and the deviation value is -200ms), this indicates that the droplet is falling too fast. The system will then issue a first warning message indicating excessive drip rate, allowing medical staff to adjust the infusion rate promptly to avoid patient discomfort or other medical risks, such as excessive cardiac load, caused by an excessively fast drip rate. Conversely, if the system collects the first drop signal within the preset time range and the first deviation value is positive (e.g., the baseline interval is 1000ms, the actual measured interval exceeds the preset time range, and the calculated deviation value is 300ms (assuming the upper limit of the preset time range is 1200ms), this indicates that the fluid output rate is lower than the preset output rate, requiring further assessment of the specific situation, such as tubing malfunction or a running drip. The system will issue a second reminder message to prompt medical staff to take immediate measures, such as replacing the infusion container or checking whether the infusion tubing is blocked, to prevent serious medical accidents caused by insufficient fluid entering the blood vessels or air entering the blood vessels due to the drip running dry.
[0052] In this embodiment, by issuing alerts for excessively rapid dripping, empty dripping, or tubing malfunction based on the sign of the first deviation value, the system can provide medical staff with more targeted alerts for abnormal situations. In critical situations such as medical infusions, especially interventional surgeries, this precise alert method helps medical staff quickly determine the nature of the problem and take appropriate measures. Timely alerts for excessively rapid dripping can prevent patients from experiencing adverse reactions due to excessive fluid infusion in a short period, ensuring patient safety. Accurate alerts for empty dripping or tubing malfunctions can effectively prevent life-threatening events such as air embolism, ensuring the safety and stability of fluid infusion during surgery, improving the quality and efficiency of medical operations, and reducing the possibility of misjudgment or delayed treatment by medical staff due to ambiguous alerts.
[0053] Reference Figure 3 This application also provides a liquid dripping state detection system for use in an infusion device. The infusion device includes an infusion container 10 and a drip chamber 20 connected to the infusion container 10 via tubing. The liquid dripping state detection system includes a light emitter 30, a light receiver 40, and a main control board 50. The light emitter 30 and the light receiver 40 are disposed on opposite sides of the drip chamber 20. The light receiver 40 receives the light signal value emitted by the light emitter 30 and sends the light signal value to the main control board 50. The main control board 50 detects the liquid dripping state according to the light signal value using the liquid dripping state detection method described in any of the above embodiments.
[0054] The aforementioned light emitter 30 and light receiver 40 constitute a photoelectric sensing system. When a liquid droplet passes between the light emitter 30 and the light receiver 40, the light signal value collected by the light receiver 40 changes, and the main control board 50 can then determine that a droplet signal has been collected. The main control board 50 then executes the liquid droplet state detection method described in any of the above embodiments based on its built-in computer program. The light emitter 30 here can emit infrared light, but is not limited to infrared light.
[0055] Reference Figure 4 The present invention also provides a computer device, the internal structure of which can be as follows: Figure 4As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor in this computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores operating devices, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store data related to this application. The network interface of the computer device is used to communicate with external terminals via a network connection. Furthermore, the computer device may also be equipped with an input device and a display screen. When the computer program is executed by the processor, it implements a liquid dripping state detection method, including: determining whether a first dripping signal of a droplet has been collected within a preset time range; if the first dripping signal is not collected within the preset time range, issuing a reminder message; if the first dripping signal is collected within the preset time range, not issuing the reminder message.
[0056] One embodiment of this application also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements a liquid dripping state detection method, including: determining whether a first dripping signal of a droplet is collected within a preset time range; if the first dripping signal is not collected within the preset time range, issuing a reminder message; if the first dripping signal is collected within the preset time range, not issuing the reminder message.
[0057] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0058] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.
[0059] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.
Claims
1. A method for detecting the state of liquid dripping, characterized in that, include: Obtain the preset output speed for the droplet; Based on the output speed, calculate the basic interval time between the two droplets; Based on the aforementioned basic interval time, a preset time range and a time safety error range are set; wherein, the preset time range is a time threshold for determining drip emptying, and the time safety error range is a time threshold for determining potential drip abnormalities; During the liquid dripping process, it is determined whether the first dripping signal of the droplet is collected within the preset time range; If the first drip signal is not collected within the preset time range, it is determined that the infusion is in a drip empty state and a reminder message is issued; If the first dripping signal is collected within the preset time range, the difference between the interval time corresponding to the first dripping signal and the basic interval time is calculated to obtain the first deviation value; Determine whether the first deviation value is within the time safety error range; If the first deviation value is not within the time safety error range, it is determined that a potential drip abnormality has been detected, and a reminder message is issued; If the first deviation value is within the time safety error range, the reminder message will not be issued.
2. The liquid dripping state detection method according to claim 1, characterized in that, The step of determining whether a first droplet signal has been collected within a preset time range includes: Obtain a reference time and a current time, and calculate the difference between the current time and the reference time to obtain the interval time; wherein, the reference time is the time when the droplet's drop signal was collected before the first drop signal was acquired; Determine whether the first drop signal has been collected at the current moment; If the first drop signal is not collected at the current time, it is determined whether the interval time is within the preset time range; If the interval time is not within the preset time range, it is determined that the first drop signal was not collected within the preset time range; If the interval time is within the preset time range, then wait to collect the first drop signal; If the first dripping signal is collected at the current time and the interval is within the preset time range, then it is determined that the first dripping signal was collected within the preset time range.
3. The liquid dripping state detection method according to claim 2, characterized in that, Before the step of obtaining the reference time and the current time, and calculating the difference between the current time and the reference time to obtain the interval time, the method includes: Determine whether the aforementioned reference time exists; If it exists, then obtain the reference time; If it does not exist, then the current state is determined to be the starting state of liquid dripping, and the current time is taken as the reference time.
4. The liquid dripping state detection method according to claim 2, characterized in that, The step of determining that the first drop signal was collected within the preset time range if the first drop signal is collected at the current time and the interval is within the preset time range, includes: The current time is updated to the reference time for the next determination of whether the first drop signal has been collected within the preset time range.
5. The liquid dripping state detection method according to claim 1, characterized in that, The step of determining that a potential infusion abnormality has been detected and issuing a reminder message if the first deviation value is not within the time safety error range includes: If the first deviation value is negative, then a first alert message will be issued; If the first deviation value is positive, a second reminder message will be issued.
6. A liquid dripping state detection system, applied in an infusion device, the infusion device comprising an infusion container and a drip chamber connected to the infusion container via tubing, characterized in that, The liquid dripping state detection system includes a light emitter, a light receiver, and a main control board, with the light emitter and the light receiver located on opposite sides of the dripper. The optical receiver is used to receive the optical signal value emitted by the optical transmitter and send the optical signal value to the main control board. The main control board uses the liquid dripping state detection method as described in any one of claims 1-5 to detect the liquid dripping state based on the optical signal value.
7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the liquid dripping state detection method as described in any one of claims 1 to 5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the liquid dripping state detection method as described in any one of claims 1 to 5.