Chemotherapy pump medicine infusion control system and method

Abstract

The invention relates to the technical field of infusion control, and discloses a chemotherapy pump medicine infusion control system and method.The chemotherapy pump medicine infusion control method comprises the steps that an intelligent sensor is used for collecting the initial volume of liquid medicine, the temperature of a liquid storage bag and the static pressure, and reference conditions are determined in combination with the target volume and the safe temperature interval set by medical staff; setting a sampling period, collecting the pressure intensity and the liquid medicine displacement in the pump body in real time, calculating an energy return difference, comparing the energy return difference with a threshold value, and performing micro-displacement compensation. Optical fiber scattering probes are arranged, the layering condition of the liquid medicine is analyzed and judged through spectrum gradient, and mixing homogenization is achieved through periodic pulse speed change. Collecting pressure and turbidity data at two ends of the filter, and calculating a load ratio to judge the working state of the filter. The liquid medicine flow is monitored in real time, the frequency of the pump body is adjusted according to closed-loop control, and whether infusion is finished or backflow is judged according to the inertia backflow index. Historical infusion records are obtained, the volume deviation is calculated, and the follow-up flow velocity is automatically corrected through a self-learning iterative algorithm.

Description

Technical Field

[0001] This invention relates to the field of infusion control technology, specifically to a chemotherapy pump drug infusion control system and method. Background Technology

[0002] Chemotherapy drugs are highly toxic, highly sensitive, and strictly dose-dependent in clinical use. The infusion process requires extremely high precision in controlling the flow rate, temperature, pressure, and homogeneity of the drug composition. Traditional chemotherapy pumps primarily achieve constant-rate drug output through mechanical peristaltic pumps or electromagnetically driven pumps, and their control methods are mostly based on simple closed-loop regulation using feedback signals from a single flow sensor. However, in actual clinical applications, the combined effects of complex factors such as changes in drug viscosity, filter clogging, fluctuations in tubing pressure differentials, and drug stratification often lead to problems such as increased flow rate deviation, drug heterogeneity, and end-point backflow. These issues not only affect infusion accuracy but may also cause local irritation or uneven drug efficacy in patients.

[0003] While some existing chemotherapy pumps have incorporated electronic control modules and basic sensor feedback mechanisms, their monitoring dimensions are limited, making it difficult to achieve real-time linkage of multiple physical parameters. For example, traditional methods typically rely solely on flow monitoring to determine blockage or leakage, failing to accurately capture the correlation between pressure, turbidity, and spectral changes, resulting in difficulty in predicting resistance trends in a timely manner. Furthermore, chemotherapy solutions are prone to stratification or particle sedimentation during long-term storage or mixed use, and conventional flow rate control cannot effectively rehomogenize the solution, affecting its stability.

[0004] Furthermore, the relationship between filter load and differential pressure is complex, and most existing pumps only alarm when significant blockage occurs, lacking quantitative identification of progressive filter blockage. Moreover, the flow rate calibration of traditional chemotherapy pumps mainly relies on manual periodic maintenance or factory calibration, and cannot be automatically corrected based on historical infusion data. Over long-term operation, accumulated errors can easily occur, leading to decreased pump output accuracy and even the risk of over- or under-infusion.

[0005] Therefore, there is an urgent need for a chemotherapy pump drug infusion control method that can comprehensively collect multiple physical quantities, predict resistance trends, perform layered intelligent homogenization, determine filter load, and have self-learning calibration function, so as to significantly improve the safety and automation level of chemotherapy infusion while ensuring the stability and accuracy of the drug solution. Summary of the Invention

[0006] This invention provides a chemotherapy pump drug infusion control system and method, which helps to solve the problems mentioned in the background art.

[0007] This invention provides the following technical solution: a method for controlling chemotherapy pump drug infusion, comprising: The initial volume of the drug solution and the temperature of the reservoir are collected by intelligent sensors, and medical staff set the target volume and safe temperature range to determine the baseline volume and baseline temperature and collect the initial pressure under static conditions. By setting a sampling period, the pressure and displacement of the liquid inside the pump are collected in real time. The energy hysteresis is calculated and compared with a threshold to achieve early prediction of the resistance increase trend and micro-displacement adjustment of the pump body. Fiber optic scattering probes are installed along the input pipeline to collect light intensity sequences, calculate the stratified spectral gradient factor, and determine the stratification of the drug solution based on the stratification threshold. The drug solution is homogenized by periodically adjusting the pulse pump speed. Collect the pressure and turbidity at the filter inlet and outlet, calculate the filter load ratio by the pressure difference and turbidity ratio, determine the filter status and issue an abnormal prompt or maintain normal operation; The flow rate of the drug solution is collected in real time and compared with the target flow rate. The flow rate is precisely controlled by adjusting the pump frequency through closed loop. The inertial backflow index at the end of the infusion is calculated to determine whether the drug solution stops or backflow occurs in order to complete the infusion. Historical infusion records are obtained to calculate the volume deviation for each infusion. The pump flow rate is adjusted through an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization.

[0008] Optionally, the step of collecting the initial volume of the drug solution and the temperature of the reservoir via intelligent sensors, and having medical personnel set the target volume and safe temperature range to determine the reference volume and reference temperature, and collecting the initial pressure under static conditions, includes: The system uses intelligent sensors to detect the initial volume and temperature after the drug solution is injected into the reservoir. After medical staff input the target volume and safe temperature range, the system calculates the difference between the initial volume and the target volume. When the detected difference and temperature are both within a safe range, the system sets the volume and temperature as reference parameters and collects the pressure inside the reservoir under static conditions as an initial pressure reference. If the temperature exceeds the safe range or the volume detection is abnormal, the system will automatically prevent the pump from starting and prompt medical staff to perform manual calibration.

[0009] Optionally, the step of setting a sampling period to collect the pressure and drug displacement within the pump body in real time, calculating the energy hysteresis and comparing it with a threshold, to achieve early prediction of the resistance increase trend and adjustment of the pump body micro-displacement, includes: Within a preset sampling period, the instantaneous pressure inside the pump body and the horizontal displacement of the drug solution are acquired simultaneously, and the trend of infusion resistance is analyzed by the change in energy hysteresis between the two. By sampling standard data at multiple different pump speeds, the system determines the threshold range of resistance change to determine whether there is a viscosity increase or micro-blockage in the drug solution passage. When the energy hysteresis is detected to exceed the limit continuously, the system automatically triggers the micro-displacement reverse adjustment mechanism of the pump body, adjusting a very small distance each time to restore liquid flow, and recalibrating the state after adjustment; If the resistance still does not recover after continuous correction, the system will issue an alarm to prompt manual intervention.

[0010] Optionally, the step of deploying fiber optic scattering probes along the input pipeline to collect light intensity sequences, calculate the stratified spectral gradient factor, and determine the stratification of the drug solution based on the stratification threshold, and achieving drug solution homogenization through periodic pulse pump speed adjustment, includes: Multiple fiber optic scattering probes are installed on the input pipeline; By continuously measuring the light intensity distribution of the drug solution along the pipeline, the differences in spectral gradients between different locations are analyzed to determine whether the drug solution has undergone component stratification. By establishing standard thresholds, we can distinguish between normal concentration fluctuations and abnormal stratification states; When stratification is detected, the pump automatically switches from constant speed operation mode to periodic pulse speed change mode, so that the pump speed changes periodically within the set range, forming secondary turbulence to promote the remixing of the drug solution. After homogenization, the system re-detects the spectral status and resumes constant-speed operation.

[0011] Optionally, the step of collecting the pressure and turbidity at the inlet and outlet of the filter, calculating the filter load ratio by the pressure difference and turbidity ratio, determining the filter status, and issuing an abnormality warning or maintaining normal operation includes: The pressure difference and turbidity change of the fluid were measured at the inlet and outlet of the filter, respectively, and the filter load ratio was calculated accordingly. The degree of filter blockage is determined by comprehensively analyzing the measured pressure difference and turbidity ratio. When the load ratio is less than the set standard, the system determines that the filter is abnormally clogged and prompts medical staff to replace it or perform a manual inspection. If the load ratio is within the normal range, then maintain normal infusion status.

[0012] Optionally, the real-time acquisition of drug flow rate and comparison with the target flow rate, the precise flow rate control through closed-loop pump frequency adjustment, and the calculation of the inertial backflow index at the end of the infusion to determine whether the drug flow has stopped or backflow has occurred to complete the infusion, include: Real-time monitoring of reservoir volume changes to calculate instantaneous flow rate, and comparison with the target flow rate preset by medical staff; Based on the comparison results, the system automatically adjusts the pump's operating frequency to achieve precise flow rate control; Monitor the instantaneous pressure change in the infusion terminal pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred; When the detection results show that the pressure change is below the static threshold of the drug solution and the flow rate approaches zero, the system determines that the infusion has been completed and automatically stops running.

[0013] Optionally, the step of obtaining historical infusion records, calculating the volume deviation for each infusion, and adjusting the pump flow rate using an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization includes: Automatically record the actual infusion volume and target volume after each infusion. The volume deviation is calculated by comparison, and the flow rate is adjusted accordingly. This adjustment is based on the historical deviation trend. When the deviation gradually decreases over multiple consecutive times, the system automatically reduces the correction magnitude until it converges, forming a high-precision stable state. When deviations occur repeatedly or fluctuate, the system automatically increases the flow rate correction amount according to the rate of change to ensure continuous accuracy optimization.

[0014] A system for implementing the chemotherapy pump drug infusion control method, comprising: The drug injection and storage monitoring module is used to collect the initial volume of the drug and the temperature inside the storage bladder after the drug is injected into the storage bladder, and set the initial volume and temperature as the reference volume and reference temperature within the safe temperature range. The pump drive and energy hysteresis monitoring module is used to collect the pressure in the reservoir and the horizontal displacement of the liquid during pump operation, construct the energy hysteresis calculation formula, and continuously calculate the energy hysteresis sequence through the sampling period. Based on the energy hysteresis results, it is determined whether to remove the blockage or prompt manual intervention. The optical stratification monitoring and pulse speed control module is used to deploy fiber optic scattering probes along the pipeline, collect light intensity sequences and calculate stratification factors, and determine whether there is component stratification in the drug solution based on the stratification factors and thresholds. The filter condition monitoring and load assessment module is used to collect pressure and turbidity at the filter inlet and outlet, calculate instantaneous pressure difference and turbidity ratio to determine whether the filter can work normally; The real-time flow rate monitoring and closed-loop control module is used to collect the volume of the drug liquid in the reservoir and calculate the actual flow rate. Based on the actual flow rate and the target flow rate, it calculates the pump drive frequency for the next cycle to achieve real-time closed-loop flow rate control. The infusion end inertial backflow monitoring module is used to collect the instantaneous pressure in the end pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred. The self-learning calibration and long-term accuracy optimization module is used to acquire historical infusion records, calculate the actual volume deviation of each infusion, construct an iterative correction formula based on the deviation change and infusion duration, adjust the pump body correction flow rate, and realize the correction of the actual volume deviation.

[0015] The present invention has the following beneficial effects: 1. By using intelligent sensors to collect the initial volume of the drug solution and the temperature of the reservoir, and allowing medical staff to set the target volume and safe temperature range, the system establishes a baseline volume, baseline temperature, and initial pressure under static conditions, achieving precise initialization before infusion. After drug injection, the system automatically monitors the liquid temperature and volume. When the detected values ​​are within the safe temperature range set by medical staff, the system automatically records the volume and temperature at that state as baseline parameters. If the detection results are outside the safe range, the system prevents the pump from starting and prompts for manual intervention, effectively preventing infusion errors caused by abnormal temperature or volume deviations. This design allows chemotherapy drugs to undergo multi-dimensional safety confirmation before entering the infusion stage, achieving integrated calibration of multiple parameters from temperature and volume to pressure, avoiding the misjudgment problems that may be caused by single-sensor sampling in traditional chemotherapy pumps. This solution not only improves the initial accuracy of pump operation but also enhances the overall safety and reliability of drug infusion. Especially in chemotherapy drug scenarios requiring strict temperature stability control, it can significantly reduce changes in the physical properties of the drug solution caused by environmental fluctuations, ensuring a safe, stable, and precise control foundation from the initial stage of the infusion process.

[0016] 2. By setting a sampling period to collect real-time data on pump pressure and drug displacement, calculating the energy hysteresis and comparing it with a threshold, the system achieves early prediction of increasing pipeline resistance trends and automatic micro-displacement adjustment. The system quantifies the pump's operating state as an energy change difference through joint sampling of pressure and displacement, and determines the energy threshold using multiple constant-speed cyclic sampling results. If the energy hysteresis continues to rise during consecutive sampling periods, the system automatically identifies this as an upward trend in resistance and adjusts the direction and amplitude of the pump piston's movement to restore the drug pressure to a stable range. This method transforms the chemotherapy pump from a passive fault response to an active trend warning system, enabling early intervention and adjustment before blockage occurs, avoiding drug backflow or capsule deformation caused by excessive pressure in the pipeline. Simultaneously, through automated micro-displacement calibration, the system can restore equilibrium in a very short time, reducing the frequency of manual intervention and improving the continuity and safety of pump operation. The introduction of this algorithm gives the chemotherapy pump adaptive correction capabilities in dynamic infusion environments, significantly improving the infusion stability of the equipment in high-viscosity drug solutions or long pipeline environments.

[0017] 3. By deploying fiber optic scattering probes along the input pipeline, real-time light intensity sequences are acquired and the stratification spectral gradient factor is calculated to determine the stratification state of the drug solution. Homogenization is achieved through pulse pump speed control. This scheme utilizes multi-point optical detection to monitor changes in the component distribution of the drug solution in the pipeline and quantifies the degree of stratification by the average difference in light intensity gradient. The system establishes a stratification threshold model using a large number of clinical samples, ensuring that the threshold reflects both natural fluctuations in the drug solution and the identification of abnormal stratification. When the detection result exceeds the set threshold, the system automatically switches to a periodic pulse mode, creating secondary turbulence through micro-amplitude speed changes to break up the stratification, and then returns to a constant speed mode after homogenization. This mechanism overcomes the limitations of traditional chemotherapy pumps in identifying or handling drug solution component stratification, maintaining the uniformity of solution concentration throughout the drug delivery process. By combining spectral analysis with pump speed feedback, the stability of the drug solution composition is ensured throughout the infusion cycle, avoiding the risk of toxic side effects caused by local high-concentration drug infusion in patients. Furthermore, this method achieves self-homogenization of the drug solution without the need for an additional stirring device, is compact in structure, and has low energy consumption, demonstrating significant engineering application value.

[0018] 4. By simultaneously acquiring pressure and turbidity signals from both the filter inlet and outlet, the system calculates the filter load ratio using the pressure difference and turbidity ratio to determine the filter status and provide anomaly alerts. The system synchronously analyzes pressure changes and optical turbidity changes across the filter. When an increase in pressure difference is detected and the turbidity ratio exceeds the set range, it determines that the filter is clogged or has failed. If the load ratio is less than a threshold, the system immediately prompts for manual filter replacement; otherwise, it continues operation within the normal range. This scheme establishes a dynamic evaluation model for filter status by fusing physical and optical signals, enabling the accurate identification of filtration performance degradation, which traditional single pressure difference monitoring cannot accurately determine. Its advantages include real-time reflection of the filter's actual workload, allowing the pump to issue early warnings at the initial stage of filtration performance decline, effectively preventing drug contamination or infusion interruptions. Simultaneously, this scheme enables automated filter status identification, reducing the monitoring burden on medical personnel and improving the equipment's self-maintenance capabilities. Its comprehensive performance ensures a clean, safe, and continuous infusion process, providing reliable protection for high-risk chemotherapy environments.

[0019] 5. By real-time acquisition of drug flow rate and comparison with the target flow rate, and utilizing closed-loop feedback to control the pump frequency, high-precision flow rate control is achieved. Simultaneously, by calculating the inertial backflow index at the infusion end, automatic identification of the infusion completion status is realized. The system adjusts the pump frequency based on real-time responses to flow and pressure signals, ensuring the output flow rate remains dynamically consistent with the set value, thus avoiding flow rate deviations caused by mechanical delays or changes in drug viscosity. When the pressure change in the terminal tubing falls below the inertial threshold, the system automatically determines the end of infusion, avoiding accidental stopping or over-infusion caused by human judgment. This method combines mechanical control with fluid inertial characteristics, enabling the chemotherapy pump to maintain stable and precise flow output during complex infusion processes. Automatic frequency adjustment through closed-loop feedback achieves stable control of flow rate error within one percent; the inertial identification mechanism further ensures the accuracy of infusion termination, effectively avoiding drug residue and backflow risks. This solution improves the automation level and clinical reliability of the chemotherapy pump, ensuring the safety and intelligence of the entire drug infusion process.

[0020] 6. By acquiring historical infusion records to calculate volume deviation, the system automatically adjusts the pump flow rate using an iterative correction formula, achieving self-learning calibration and long-term accuracy optimization. After each infusion, the system records the difference between the actual volume and the target volume, and automatically corrects the infusion flow rate for the next infusion based on the historical deviation trend, gradually bringing the pump control parameters closer to the optimal value. When the system detects a continuous decrease in deviation, it maintains stable accuracy; when the deviation increases, the system immediately increases the correction amount, thus forming an adaptive optimization closed loop in long-term operation. This mechanism endows the chemotherapy pump with continuous evolution capabilities, enabling the device to automatically adjust its control strategy according to different drug characteristics and environmental conditions, avoiding error accumulation problems caused by pump wear, drug viscosity differences, or long-term use. Through self-learning calibration, the pump can maintain long-term accuracy consistency after multiple runs, with errors stably controlled within the thousandth-level range. This method significantly improves the reliability and intelligence level of chemotherapy infusion equipment, reduces the need for manual calibration, and provides safer, more efficient, and sustainable technical support for clinical chemotherapy. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the system structure of the present invention; Figure 2 This is a schematic diagram of the process of the present invention; Figure 3 This is a schematic diagram of the infusion device of the present invention. Detailed Implementation

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

[0023] Example 1, see Figures 1 to 3 A method for controlling chemotherapy pump drug infusion, characterized in that it includes: The initial volume of the drug solution and the temperature of the reservoir are collected by intelligent sensors, and medical staff set the target volume and safe temperature range to determine the baseline volume and baseline temperature and collect the initial pressure under static conditions. By setting a sampling period, the pressure and displacement of the liquid inside the pump are collected in real time. The energy hysteresis is calculated and compared with a threshold to achieve early prediction of the resistance increase trend and micro-displacement adjustment of the pump body. Fiber optic scattering probes are installed along the input pipeline to collect light intensity sequences, calculate the stratified spectral gradient factor, and determine the stratification of the drug solution based on the stratification threshold. The drug solution is homogenized by periodically adjusting the pulse pump speed. Collect the pressure and turbidity at the filter inlet and outlet, calculate the filter load ratio by the pressure difference and turbidity ratio, determine the filter status and issue an abnormal prompt or maintain normal operation; The flow rate of the drug solution is collected in real time and compared with the target flow rate. The flow rate is precisely controlled by adjusting the pump frequency through closed loop. The inertial backflow index at the end of the infusion is calculated to determine whether the drug solution stops or backflow occurs in order to complete the infusion. Historical infusion records are obtained to calculate the volume deviation for each infusion. The pump flow rate is adjusted through an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization.

[0024] The process involves using intelligent sensors to collect the initial volume of the medication and the temperature of the reservoir, with medical staff setting a target volume and a safe temperature range to determine the baseline volume and temperature, and collecting the initial pressure under static conditions. The system uses intelligent sensors to detect the initial volume and temperature after the drug solution is injected into the reservoir. After medical staff input the target volume and safe temperature range, the system calculates the difference between the initial volume and the target volume. When the detected difference and temperature are both within a safe range, the system sets the volume and temperature as reference parameters and collects the pressure inside the reservoir under static conditions as an initial pressure reference. If the temperature exceeds the safe range or the volume detection is abnormal, the system will automatically prevent the pump from starting and prompt medical staff to perform manual calibration.

[0025] The set sampling period is used to collect the pressure and drug displacement inside the pump body in real time, calculate the energy hysteresis and compare it with a threshold, so as to realize early prediction of the resistance increase trend and micro-displacement adjustment of the pump body, including: Within a preset sampling period, the instantaneous pressure inside the pump body and the horizontal displacement of the drug solution are acquired simultaneously, and the trend of infusion resistance is analyzed by the change in energy hysteresis between the two. By sampling standard data at multiple different pump speeds, the system determines the threshold range of resistance change to determine whether there is a viscosity increase or micro-blockage in the drug solution passage. When the energy hysteresis is detected to exceed the limit continuously, the system automatically triggers the micro-displacement reverse adjustment mechanism of the pump body, adjusting a very small distance each time to restore liquid flow, and recalibrating the state after adjustment; If the resistance still does not recover after continuous correction, the system will issue an alarm to prompt manual intervention.

[0026] The process involves deploying fiber optic scattering probes along the input pipeline to collect light intensity sequences, calculating the stratified spectral gradient factor, determining the stratification of the drug solution based on the stratification threshold, and achieving drug solution homogenization through periodic pulse pump speed adjustment, including: Multiple fiber optic scattering probes are installed on the input pipeline; By continuously measuring the light intensity distribution of the drug solution along the pipeline, the differences in spectral gradients between different locations are analyzed to determine whether the drug solution has undergone component stratification. By establishing standard thresholds, we can distinguish between normal concentration fluctuations and abnormal stratification states; When stratification is detected, the pump automatically switches from constant speed operation mode to periodic pulse speed change mode, so that the pump speed changes periodically within the set range, forming secondary turbulence to promote the remixing of the drug solution. After homogenization, the system re-detects the spectral status and resumes constant-speed operation.

[0027] The system collects the pressure and turbidity at the inlet and outlet of the filter, calculates the filter load ratio using the pressure difference and turbidity ratio, determines the filter status, and issues an abnormality alert or maintains normal operation, including: The pressure difference and turbidity change of the fluid were measured at the inlet and outlet of the filter, respectively, and the filter load ratio was calculated accordingly. The degree of filter blockage is determined by comprehensively analyzing the measured pressure difference and turbidity ratio. When the load ratio is less than the set standard, the system determines that the filter is abnormally clogged and prompts medical staff to replace it or perform a manual inspection. If the load ratio is within the normal range, then maintain normal infusion status.

[0028] The real-time acquisition of drug flow rate and comparison with the target flow rate, the precise flow rate control through closed-loop pump frequency adjustment, and the calculation of the inertial backflow index at the end of the infusion are used to determine whether the drug flow has stopped or backflow has occurred to complete the infusion, including: Real-time monitoring of reservoir volume changes to calculate instantaneous flow rate, and comparison with the target flow rate preset by medical staff; Based on the comparison results, the system automatically adjusts the pump's operating frequency to achieve precise flow rate control; Monitor the instantaneous pressure change in the infusion terminal pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred; When the detection results show that the pressure change is below the static threshold of the drug solution and the flow rate approaches zero, the system determines that the infusion has been completed and automatically stops running.

[0029] The process of obtaining historical infusion records, calculating the volume deviation for each infusion, and adjusting the pump flow rate using an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization includes: Automatically record the actual infusion volume and target volume after each infusion. The volume deviation is calculated by comparison, and the flow rate is adjusted accordingly. This adjustment is based on the historical deviation trend. When the deviation gradually decreases over multiple consecutive times, the system automatically reduces the correction magnitude until it converges, forming a high-precision stable state. When deviations occur repeatedly or fluctuate, the system automatically increases the flow rate correction amount according to the rate of change to ensure continuous accuracy optimization.

[0030] Example 2: A system for implementing the chemotherapy pump drug infusion control method, comprising: The drug injection and storage monitoring module is used to collect the initial volume of the drug and the temperature inside the storage bladder after the drug is injected into the storage bladder, and set the initial volume and temperature as the reference volume and reference temperature within the safe temperature range. The pump drive and energy hysteresis monitoring module is used to collect the pressure in the reservoir and the horizontal displacement of the liquid during pump operation, construct the energy hysteresis calculation formula, and continuously calculate the energy hysteresis sequence through the sampling period. Based on the energy hysteresis results, it is determined whether to remove the blockage or prompt manual intervention. The optical stratification monitoring and pulse speed control module is used to deploy fiber optic scattering probes along the pipeline, collect light intensity sequences and calculate stratification factors, and determine whether there is component stratification in the drug solution based on the stratification factors and thresholds. The filter condition monitoring and load assessment module is used to collect pressure and turbidity at the filter inlet and outlet, calculate instantaneous pressure difference and turbidity ratio to determine whether the filter can work normally; The real-time flow rate monitoring and closed-loop control module is used to collect the volume of the drug liquid in the reservoir and calculate the actual flow rate. Based on the actual flow rate and the target flow rate, it calculates the pump drive frequency for the next cycle to achieve real-time closed-loop flow rate control. The infusion end inertial backflow monitoring module is used to collect the instantaneous pressure in the end pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred. The self-learning calibration and long-term accuracy optimization module is used to acquire historical infusion records, calculate the actual volume deviation of each infusion, construct an iterative correction formula based on the deviation change and infusion duration, adjust the pump body correction flow rate, and realize the correction of the actual volume deviation.

[0031] Example 3: A method for controlling chemotherapy pump drug infusion, characterized by comprising: The initial volume of the drug solution and the temperature of the reservoir are collected by intelligent sensors, and medical staff set the target volume and safe temperature range to determine the baseline volume and baseline temperature and collect the initial pressure under static conditions. By setting a sampling period, the pressure and displacement of the liquid inside the pump are collected in real time. The energy hysteresis is calculated and compared with a threshold to achieve early prediction of the resistance increase trend and micro-displacement adjustment of the pump body. Fiber optic scattering probes are installed along the input pipeline to collect light intensity sequences, calculate the stratified spectral gradient factor, and determine the stratification of the drug solution based on the stratification threshold. The drug solution is homogenized by periodically adjusting the pulse pump speed. Collect the pressure and turbidity at the filter inlet and outlet, calculate the filter load ratio by the pressure difference and turbidity ratio, determine the filter status and issue an abnormal prompt or maintain normal operation; The flow rate of the drug solution is collected in real time and compared with the target flow rate. The flow rate is precisely controlled by adjusting the pump frequency through closed loop. The inertial backflow index at the end of the infusion is calculated to determine whether the drug solution stops or backflow occurs in order to complete the infusion. Historical infusion records are obtained to calculate the volume deviation for each infusion. The pump flow rate is adjusted through an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization.

[0032] The process involves using intelligent sensors to collect the initial volume of the medication and the temperature of the reservoir, with medical staff setting a target volume and a safe temperature range to determine the baseline volume and temperature, and collecting the initial pressure under static conditions. After the medication is injected into the reservoir, the system uses intelligent sensors to collect the initial volume of the medication. Temperature inside the reservoir ; Set target volume Within the safe temperature range; Target volume Both the safe temperature range and the input settings are provided by medical staff. Calculate the initial volume of the drug solution in the reservoir. With target volume The difference Specifically, it is expressed as ; when and When the temperature is within the safe range, the system will use the initial volume. and The reference volume and reference temperature were set, and the pressure inside the reservoir under static conditions was collected. ; when or If the temperature is outside the safe range, the system will prevent the pump from starting and prompt for manual calibration.

[0033] The system uses intelligent sensors to collect the initial volume of the drug solution and the temperature of the reservoir. Medical staff then set the target volume and safe temperature range, thus establishing a baseline volume, baseline temperature, and initial pressure under static conditions, achieving precise initialization before infusion. After drug injection, the system automatically monitors the liquid temperature and volume. When the detected values ​​are within the safe temperature range set by the medical staff, the system automatically records the volume and temperature at that state as baseline parameters. If the detection results are outside the safe range, the system prevents the pump from starting and prompts for manual intervention, effectively preventing infusion errors caused by abnormal temperature or volume deviations. This design allows for multi-dimensional safety confirmation of chemotherapy drugs before they enter the infusion stage, achieving integrated calibration of multiple parameters from temperature and volume to pressure, avoiding the misjudgment problems that may arise from single-sensor sampling in traditional chemotherapy pumps. This solution not only improves the initial accuracy of pump operation but also enhances the overall safety and reliability of drug infusion. Especially in chemotherapy drug scenarios requiring strict temperature stability control, it can significantly reduce changes in the physical properties of the drug solution caused by environmental fluctuations, ensuring a safe, stable, and precise control foundation from the initial stage of the infusion process.

[0034] The set sampling period is used to collect the pressure and drug displacement inside the pump body in real time, calculate the energy hysteresis and compare it with a threshold, so as to realize early prediction of the resistance increase trend and micro-displacement adjustment of the pump body, including: Set the sampling period to ; When the pump starts, the liquid in the reservoir shifts, and the system simultaneously collects the internal pressure of the pump and the horizontal displacement of the liquid, which are recorded as follows: and t represents the acquisition cycle number; The energy hysteresis calculation formula is constructed, and the energy hysteresis is calculated as follows: ; in: This represents the energy hysteresis during the t-th sampling period; Indicates the pump body at the first Instantaneous pressure under each sampling period; This indicates the instantaneous displacement of the liquid medicine in the horizontal direction; The system circulates the fluid three times at constant speeds using multiple pumps filled with the same liquid as the actual fluid being pumped. Collect the energy hysteresis each time. Sequence, calculate average with standard deviation and take As the energy hysteresis threshold ; When two consecutive cycles All exceeded If so, it is determined that there is a trend of increasing resistance; According to the sampling period Adjust the pump body displacement in the opposite direction to the horizontal displacement of the liquid medicine, with each adjustment being 0.01 mm. Recalibrate each time the pump body displacement is adjusted. ; If the pump body displacement is adjusted twice consecutively All less than or equal to If the blockage is cleared, the medical staff will be notified to intervene manually.

[0035] By setting a sampling period to collect real-time data on pump pressure and drug displacement, calculating energy hysteresis and comparing it with a threshold, the system achieves early prediction of increasing pipeline resistance trends and automatic micro-displacement adjustment. Through joint sampling of pressure and displacement, the system quantifies the pump's operating state as an energy change difference and determines the energy threshold using multiple constant-speed cyclic sampling results. If the energy hysteresis continues to rise during consecutive sampling periods, the system automatically identifies this as an upward trend in resistance and adjusts the direction and amplitude of the pump piston's movement to restore the drug pressure to a stable range. This method transforms the chemotherapy pump from a passive fault response to an active trend warning system, enabling early intervention and adjustment before blockages form, avoiding drug backflow or capsule deformation caused by excessive pressure within the pipeline. Simultaneously, through automated micro-displacement calibration, the system can restore equilibrium in a very short time, reducing the frequency of manual intervention and improving the continuity and safety of pump operation. The introduction of this algorithm gives the chemotherapy pump adaptive correction capabilities in dynamic infusion environments, significantly improving the infusion stability of the equipment in high-viscosity drug solutions or long pipeline environments.

[0036] The process involves deploying fiber optic scattering probes along the input pipeline to collect light intensity sequences, calculating the stratified spectral gradient factor, determining the stratification of the drug solution based on the stratification threshold, and achieving drug solution homogenization through periodic pulse pump speed adjustment, including: Multiple fiber optic scattering probes were deployed along the input pipeline to measure the light intensity sequence. , This represents the nth light intensity, where n represents the number of fiber optic scattering probes; The formula for hierarchical spectral gradient imaging is constructed, and the hierarchical factor is calculated, as follows: ; in: The stratification factor represents the average difference in light intensity gradient along the pipeline direction of the drug solution, and is used to determine whether the drug solution exhibits component stratification. This represents the n_i-th light intensity, where n_i is less than or equal to n; Under standardized tubing and constant pump speed conditions, light intensity sequences of multiple batches of clinical chemotherapy solutions were continuously acquired, and the mean plus three times the standard deviation of the corresponding stratification factor was calculated as the stratification threshold. Ensure the stratification threshold It can reflect the natural fluctuations of the medicine solution and identify abnormal stratification, making it quantitative, clear and repeatable; like When this occurs, it is determined that a stratification phenomenon has occurred; The system uses a speed limiter to switch from constant speed mode to periodic pulse speed variation mode, that is, the pump speed is adjusted to a certain range. The flow field undergoes periodic changes within a certain range, resulting in secondary turbulence and achieving mixing and homogenization. Calculate again after adjustment When it is lower than Restore constant speed mode.

[0037] By deploying fiber optic scattering probes along the input pipeline, real-time light intensity sequences are acquired and the stratification spectral gradient factor is calculated to determine the stratification state of the drug solution. Homogenization is achieved through pulse pump speed control. This scheme utilizes multi-point optical detection to monitor changes in the component distribution of the drug solution in the pipeline and quantifies the degree of stratification by the average difference in light intensity gradient. The system establishes a stratification threshold model using a large number of clinical samples, ensuring that the threshold reflects both natural fluctuations in the drug solution and the identification of abnormal stratification. When the detection result exceeds the set threshold, the system automatically switches to a periodic pulse mode, creating secondary turbulence through micro-amplitude speed changes to break up the stratification, and then returns to a constant speed mode after homogenization. This mechanism overcomes the limitations of traditional chemotherapy pumps in identifying or handling drug component stratification, maintaining continuous solution concentration uniformity during drug delivery. By combining spectral analysis with pump speed feedback, the stability of the drug solution composition is ensured throughout the infusion cycle, avoiding the risk of toxic side effects caused by localized high-concentration drug delivery to patients. Furthermore, this method achieves self-homogenization of the drug solution without the need for additional stirring devices, is compact in structure, and has low energy consumption, demonstrating significant engineering application value.

[0038] The system collects the pressure and turbidity at the inlet and outlet of the filter, calculates the filter load ratio using the pressure difference and turbidity ratio, determines the filter status, and issues an abnormality alert or maintains normal operation, including: The pressures at the inlet and outlet of the filter are collected and recorded as follows: ; The turbidity at the filter inlet and outlet was collected and recorded as follows: ; The difference in light intensity before and after the drug solution is transmitted through the filter inlet Calculated The difference in light intensity before and after the drug solution is transmitted through the filter outlet Calculated; in, This indicates the light intensity closest to the filter inlet. This indicates the light intensity closest to the filter outlet. The light intensity that is furthest from the filter and has passed through the filter is the reference light intensity. Calculate the instantaneous pressure difference within the filter. : ; The filter load calculation formula is constructed to calculate the filter load ratio, as follows: ; in: This indicates the filter load ratio, used to determine whether the filter is functioning properly. Indicates the maximum allowable differential pressure of the filter; The turbidity ratio is expressed as follows: ; like If the value is less than 1, the filter is considered abnormal, and medical staff will be notified to intervene manually. Otherwise, the filter is considered to be working properly.

[0039] By simultaneously acquiring pressure and turbidity signals from both the filter inlet and outlet, the system calculates the filter load ratio using the pressure difference and turbidity ratio to determine the filter status and provide anomaly alerts. The system synchronously analyzes pressure changes and optical turbidity changes across the filter. When an increase in pressure difference is detected and the turbidity ratio exceeds a set range, it determines that the filter is clogged or has failed. If the load ratio is below a threshold, the system immediately prompts for manual filter replacement; otherwise, it continues operation within the normal range. This scheme, by fusing physical and optical signals, establishes a dynamic evaluation model for filter status, enabling the accurate identification of filtration performance degradation, which traditional single pressure difference monitoring cannot accurately determine. Its advantages include real-time reflection of the filter's actual workload, allowing the pump to issue early warnings at the initial stage of filtration performance decline, effectively preventing drug contamination or infusion interruptions. Simultaneously, this scheme achieves automated filter status identification, reducing the monitoring burden on medical personnel and improving the equipment's self-maintenance capabilities. Its comprehensive performance ensures a clean, safe, and continuous infusion process, providing reliable protection for high-risk chemotherapy environments.

[0040] The real-time acquisition of drug flow rate and comparison with the target flow rate, the precise flow rate control through closed-loop pump frequency adjustment, and the calculation of the inertial backflow index at the end of the infusion are used to determine whether the drug flow has stopped or backflow has occurred to complete the infusion, including: Real-time collection of drug flow rate The specific expression is: ; This represents the volume of the drug solution in the reservoir during the t-th sampling period; The target flow rate of the medication is manually set by medical staff and recorded as follows: ; Get the current pump frequency ; according to and Set the pump frequency for the next cycle. The details are as follows: ; The inertial recirculation formula is constructed, and the inertial recirculation index is calculated, as follows: ; in: The inertial reflux index is used to identify the tendency of the liquid to stop flowing or to reflux. This indicates the instantaneous pressure within the pipeline at the end of the infusion line; An inertia threshold is set to represent the maximum allowable pressure change when the liquid medicine is at rest. The average value can be selected by three consecutive sampling periods of no-load and static operation. like and When the time is right, the infusion is considered complete.

[0041] By real-time acquisition of drug flow rate and comparison with the target flow rate, and utilizing closed-loop feedback to control the pump frequency, high-precision flow rate control is achieved. Simultaneously, by calculating the inertial backflow index at the infusion end, automatic identification of the infusion completion status is realized. The system adjusts the pump frequency based on real-time responses to flow and pressure signals, ensuring dynamic consistency between the output flow rate and the set value, thereby avoiding flow rate deviations caused by mechanical delays or changes in drug viscosity. When the pressure change in the terminal tubing falls below the inertial threshold, the system automatically determines the end of the infusion, avoiding accidental stopping or over-infusion caused by human judgment. This method combines mechanical control with fluid inertial characteristics, enabling the chemotherapy pump to maintain stable and precise flow output during complex infusion processes. Automatic frequency adjustment through closed-loop feedback achieves stable control with flow rate errors within one percent; the inertial identification mechanism further ensures the accuracy of infusion termination, effectively avoiding drug residue and backflow risks. This solution improves the automation level and clinical reliability of the chemotherapy pump, ensuring the safety and intelligence of the entire drug infusion process.

[0042] The process of obtaining historical infusion records, calculating the volume deviation for each infusion, and adjusting the pump flow rate using an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization includes: Obtain historical infusion records and calculate infusion volume deviation: ; in: This represents the actual volume deviation of the v_i-th infusion; This represents the actual volume of drug solution completed in the v_i-th infusion. This represents the target volume of the drug solution for the v_ith infusion, set by medical staff. The iterative correction formula is constructed as follows: ; in: Indicates the first The correction flow rate of the next infusion is used to adjust the actual driving frequency of the pump body to correct the actual volume deviation. This represents the actual duration of the v_i-th infusion; When the actual volume deviation continues to decrease, the correction amplitude tends to zero, indicating that the system gradually converges to high accuracy; When the deviation increases or fluctuates, the correction formula will automatically adjust the flow rate to keep the system stable and highly accurate over a long period of time.

[0043] By acquiring historical infusion records to calculate volume deviation, the system automatically adjusts the pump flow rate using an iterative correction formula, achieving self-learning calibration and long-term accuracy optimization. After each infusion, the system records the difference between the actual volume and the target volume, and automatically corrects the infusion flow rate for the next infusion based on the historical deviation trend, gradually bringing the pump control parameters closer to the optimal value. When the system detects a continuous decrease in deviation, it maintains stable accuracy; when the deviation increases, the system immediately increases the correction amount, thus forming an adaptive optimization closed loop in long-term operation. This mechanism endows the chemotherapy pump with continuous evolution capabilities, enabling the device to automatically adjust its control strategy according to different drug characteristics and environmental conditions, avoiding error accumulation problems caused by pump wear, drug viscosity differences, or long-term use. Through self-learning calibration, the pump can maintain long-term accuracy consistency after multiple runs, with errors stably controlled within the thousandth-order range. This method significantly improves the reliability and intelligence of chemotherapy infusion equipment, reduces the need for manual calibration, and provides safer, more efficient, and sustainable technical support for clinical chemotherapy.

[0044] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0045] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for controlling drug infusion using a chemotherapy pump, characterized in that, include: The initial volume of the drug solution and the temperature of the reservoir are collected by intelligent sensors, and medical staff set the target volume and safe temperature range to determine the baseline volume and baseline temperature and collect the initial pressure under static conditions. By setting a sampling period, the pressure and displacement of the liquid inside the pump are collected in real time. The energy hysteresis is calculated and compared with a threshold to achieve early prediction of the resistance increase trend and micro-displacement adjustment of the pump body. Fiber optic scattering probes are installed along the input pipeline to collect light intensity sequences, calculate the stratified spectral gradient factor, and determine the stratification of the drug solution based on the stratification threshold. The drug solution is homogenized by periodically adjusting the pulse pump speed. Collect the pressure and turbidity at the filter inlet and outlet, calculate the filter load ratio by the pressure difference and turbidity ratio, determine the filter status and issue an abnormal prompt or maintain normal operation; The flow rate of the drug solution is collected in real time and compared with the target flow rate. The flow rate is precisely controlled by adjusting the pump frequency through closed loop. The inertial backflow index at the end of the infusion is calculated to determine whether the drug solution stops or backflow occurs in order to complete the infusion. Historical infusion records are obtained to calculate the volume deviation for each infusion. The pump flow rate is adjusted through an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization.

2. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The process involves using intelligent sensors to collect the initial volume of the medication and the temperature of the reservoir, with medical staff setting a target volume and a safe temperature range to determine the baseline volume and temperature, and collecting the initial pressure under static conditions. The system uses intelligent sensors to detect the initial volume and temperature after the drug solution is injected into the reservoir. After medical staff input the target volume and safe temperature range, the system calculates the difference between the initial volume and the target volume. When the detected difference and temperature are both within a safe range, the system sets the volume and temperature as reference parameters and collects the pressure inside the reservoir under static conditions as an initial pressure reference. If the temperature exceeds the safe range or the volume detection is abnormal, the system will automatically prevent the pump from starting and prompt medical staff to perform manual calibration.

3. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The set sampling period is used to collect the pressure and drug displacement inside the pump body in real time, calculate the energy hysteresis and compare it with a threshold, so as to realize early prediction of the resistance increase trend and micro-displacement adjustment of the pump body, including: Within a preset sampling period, the instantaneous pressure inside the pump body and the horizontal displacement of the drug solution are acquired simultaneously, and the trend of infusion resistance is analyzed by the change in energy hysteresis between the two. By sampling standard data at multiple different pump speeds, the system determines the threshold range of resistance change to determine whether there is a viscosity increase or micro-blockage in the drug solution passage. When the energy hysteresis is detected to exceed the limit continuously, the system automatically triggers the micro-displacement reverse adjustment mechanism of the pump body, adjusting a very small distance each time to restore liquid flow, and recalibrating the state after adjustment; If the resistance still does not recover after continuous correction, the system will issue an alarm to prompt manual intervention.

4. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The process involves deploying fiber optic scattering probes along the input pipeline to collect light intensity sequences, calculating the stratified spectral gradient factor, determining the stratification of the drug solution based on the stratification threshold, and achieving drug solution homogenization through periodic pulse pump speed adjustment, including: Multiple fiber optic scattering probes are installed on the input pipeline; By continuously measuring the light intensity distribution of the drug solution along the pipeline, the differences in spectral gradients between different locations are analyzed to determine whether the drug solution has undergone component stratification. By establishing standard thresholds, we can distinguish between normal concentration fluctuations and abnormal stratification states; When stratification is detected, the pump automatically switches from constant speed operation mode to periodic pulse speed change mode, so that the pump speed changes periodically within the set range, forming secondary turbulence to promote the remixing of the drug solution. After homogenization, the system re-detects the spectral status and resumes constant-speed operation.

5. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The system collects the pressure and turbidity at the inlet and outlet of the filter, calculates the filter load ratio using the pressure difference and turbidity ratio, determines the filter status, and issues an abnormality alert or maintains normal operation, including: The pressure difference and turbidity change of the fluid were measured at the inlet and outlet of the filter, respectively, and the filter load ratio was calculated accordingly. The degree of filter blockage is determined by comprehensively analyzing the measured pressure difference and turbidity ratio. When the load ratio is less than the set standard, the system determines that the filter is abnormally clogged and prompts medical staff to replace it or perform a manual inspection. If the load ratio is within the normal range, then maintain normal infusion status.

6. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The real-time acquisition of drug flow rate and comparison with the target flow rate, the precise flow rate control through closed-loop pump frequency adjustment, and the calculation of the inertial backflow index at the end of the infusion are used to determine whether the drug flow has stopped or backflow has occurred to complete the infusion, including: Real-time monitoring of reservoir volume changes to calculate instantaneous flow rate, and comparison with the target flow rate preset by medical staff; Based on the comparison results, the system automatically adjusts the pump's operating frequency to achieve precise flow rate control; Monitor the instantaneous pressure change in the infusion terminal pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred; When the detection results show that the pressure change is below the static threshold of the drug solution and the flow rate approaches zero, the system determines that the infusion has been completed and automatically stops running.

7. The chemotherapy pump drug infusion control method according to claim 1, characterized in that, The process of obtaining historical infusion records, calculating the volume deviation for each infusion, and adjusting the pump flow rate using an iterative correction formula to achieve self-learning calibration and long-term accuracy optimization includes: Automatically record the actual infusion volume and target volume after each infusion. The volume deviation is calculated by comparison, and the flow rate is adjusted accordingly. This adjustment is based on the historical deviation trend. When the deviation gradually decreases over multiple consecutive times, the system automatically reduces the correction magnitude until it converges, forming a high-precision stable state. When deviations occur repeatedly or fluctuate, the system automatically increases the flow rate correction amount according to the rate of change to ensure continuous accuracy optimization.

8. A system employing the chemotherapy pump drug infusion control method of claim 1, characterized in that, include: The drug injection and storage monitoring module is used to collect the initial volume of the drug and the temperature inside the storage bladder after the drug is injected into the storage bladder, and set the initial volume and temperature as the reference volume and reference temperature within the safe temperature range. The pump drive and energy hysteresis monitoring module is used to collect the pressure in the reservoir and the horizontal displacement of the liquid during pump operation, construct the energy hysteresis calculation formula, and continuously calculate the energy hysteresis sequence through the sampling period. Based on the energy hysteresis results, it is determined whether to remove the blockage or prompt manual intervention. The optical stratification monitoring and pulse speed control module is used to deploy fiber optic scattering probes along the pipeline, collect light intensity sequences and calculate stratification factors, and determine whether there is component stratification in the drug solution based on the stratification factors and thresholds. The filter condition monitoring and load assessment module is used to collect pressure and turbidity at the filter inlet and outlet, calculate instantaneous pressure difference and turbidity ratio to determine whether the filter can work normally; The real-time flow rate monitoring and closed-loop control module is used to collect the volume of the drug liquid in the reservoir and calculate the actual flow rate. Based on the actual flow rate and the target flow rate, it calculates the pump drive frequency for the next cycle to achieve real-time closed-loop flow rate control. The infusion end inertial backflow monitoring module is used to collect the instantaneous pressure in the end pipeline and calculate the inertial backflow index to determine whether the drug solution has stopped flowing or backflow has occurred. The self-learning calibration and long-term accuracy optimization module is used to acquire historical infusion records, calculate the actual volume deviation of each infusion, construct an iterative correction formula based on the deviation change and infusion duration, adjust the pump body correction flow rate, and realize the correction of the actual volume deviation.

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