Self-adaptive power supply control method for medical equipment system and medical equipment system

Abstract

The invention discloses a self-adaptive power supply control method for a medical equipment system, and the method comprises the steps: obtaining a current diagnosis and treatment working mode of a medical equipment host, the electrical connection and working states of all external accessories, and real-time electrical parameters outputted by a reconfigurable power unit in real time; based on the acquired information, combining a pre-stored host power consumption model and an accessory power consumption increment table to predict the total power demand of the medical equipment system in a future predetermined time window; comparing the total power demand with the maximum safe output capability determined by the reconfigurable power unit based on the current topological structure and the element temperature; executing a power unit reconfiguration instruction according to a comparison result so as to dynamically adjust a power conversion topological structure of the reconfigurable power unit or a working mode of a power module; and reporting the real-time state information of the reconfigurable power unit and the reconfiguration decision basis to a medical equipment host, and receiving a safety instruction issued by the medical equipment host to cooperatively adjust a power supply strategy.

Description

Technical Field

[0001] This invention belongs to the field of medical power supply technology, and particularly relates to an adaptive power supply control method for medical equipment systems and a medical equipment system. Background Technology

[0002] Traditional power supply systems for medical devices employ fixed power margin designs or simple threshold protection, failing to adapt to dynamically changing load demands in real time. This leads to the risk of power outages during sudden high loads and energy waste during light loads. Furthermore, there is a lack of intelligent collaboration between the power supply and the host device based on clinical scenarios. Therefore, the challenge lies in enabling medical device power supply systems to dynamically and safely adapt to their optimal real-time power requirements under different operating modes and accessory combinations, thereby simultaneously addressing the coexisting problems of insufficient power supply risk and energy waste. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide an adaptive power supply control method and a medical device system for medical devices. By predicting the total power demand of the system in real time and comparing it with the current maximum safe output capacity of the power supply, the power supply topology is dynamically reconstructed, thereby achieving adaptive and precise matching between power supply capacity and load demand. This fundamentally improves the reliability, energy efficiency, and clinical safety collaboration capability of the system power supply with the host.

[0004] A first aspect of this invention provides an adaptive power supply control method for a medical device system, the medical device system including a medical device host, at least one external accessory, and a reconfigurable power unit, the method being executed by a controller within the reconfigurable power unit, the method comprising: The system can acquire in real time the current diagnosis and treatment working mode of the medical device host, the electrical connection and working status of each external accessory, and the real-time electrical parameters output by the reconfigurable power unit. Based on the acquired information, combined with the pre-stored host basic power consumption model and the attached power consumption increment table, a trend extrapolation algorithm is used to predict the total power demand of the medical equipment system within a future predetermined time window; wherein, the host basic power consumption model associates the mapping relationship between different diagnosis and treatment working modes and host power consumption; The total power requirement is compared with the maximum safe output capability of the reconfigurable power unit determined based on the current topology and component temperature. Based on the comparison results, a power unit reconfiguration instruction is generated and executed to dynamically adjust the power conversion topology of the reconfigurable power unit or the operating mode of the power module. The real-time status information and reconfiguration decision basis of the reconfigurable power unit are reported to the medical device host, and the host receives safety instructions from the medical device host to coordinate the adjustment of the power supply strategy.

[0005] In one embodiment, the step of predicting the total power demand of the medical device system within a predetermined future time window based on the acquired information, combined with a pre-stored host basic power consumption model and an accessory power consumption increment table, and employing a trend extrapolation algorithm includes: Query the baseline power consumption value corresponding to the current diagnostic and treatment working mode from the host basic power consumption model; Retrieve the independent additional power consumption value of each connected accessory from the accessory power consumption increment table; Time series analysis is performed on the output current in the real-time electrical parameters to extract its slope and fluctuation characteristics over a preset time period; The base power consumption benchmark value, the sum of all additional power consumption values, and the dynamic adjustment amount calculated based on the change slope and fluctuation characteristics are fused to generate the total power demand curve within the predetermined future time window.

[0006] In one embodiment, comparing the total power demand with the maximum safe output capability of the reconfigurable power unit determined based on the current topology and component temperature includes: Based on the number of currently active power modules, connection method, and real-time temperature sensor data of key power components in the reconfigurable power unit, the upper limit of sustainable safe output power under this operating state is obtained by looking up a table.

[0007] In one embodiment, generating and executing power unit reconfiguration instructions based on the comparison results includes: If the minimum value of the predicted total power demand curve is consistently higher than the maximum safe output capacity during the first consecutive period in the future, a capacity expansion and reconfiguration instruction is generated and executed to increase the power supply capacity. If the maximum value of the predicted total power demand curve remains below a specific percentage threshold of the maximum safe output capacity during the second consecutive period in the future, an energy efficiency optimization reconfiguration instruction is generated and executed to reduce power loss. If the effective value of the output voltage ripple or the total harmonic distortion rate in the real-time electrical parameters exceeds the quality threshold set for the current diagnostic and treatment working mode, a quality-optimized reconstruction instruction is generated and executed to prioritize improving the output power quality.

[0008] In one embodiment, the dynamic adjustment of the power conversion topology of the reconfigurable power unit includes at least one of the following hardware reconfiguration operations: increasing or decreasing the number of parallel DC-DC power modules; switching the series / parallel connection relationship of the power modules; enabling or bypassing a specific phase in the multiphase interleaved parallel topology; changing the switching network connection mode in the LLC resonant circuit or phase-shifted full-bridge circuit.

[0009] In one embodiment, the method further includes: After executing any reconfiguration instruction, monitor the stable operating point and thermal state of the reconfigurable power unit in the new operating state; Based on the monitoring results, the lookup data used to determine the maximum safe output capability is dynamically calibrated and updated to form a closed-loop parameter optimization.

[0010] In one embodiment, the reconfiguration decision criteria include at least: the predicted power demand value that triggers reconfiguration, the maximum safe output capability value as a comparison benchmark, and the deviation value of the electrical parameter quality index on which the reconfiguration is based.

[0011] In one embodiment, the safety instruction is issued by the medical device host based on at least one scenario: a critical period of the imaging sequence, an uninterrupted power supply requirement for life support equipment, or a mobile state of the device. The safety instruction takes precedence over the reconfiguration decision.

[0012] In one embodiment, the reconfigurable power unit is an integrated power supply built into a portable medical device or mobile medical cart, comprising: The system includes multiple battery cells with software-defined interconnects, a programmable power conversion array consisting of multiple standardized power submodules, and an embedded adaptive power supply controller.

[0013] A second aspect of this application provides a medical device system, including a medical device host, at least one external accessory, and a reconfigurable power unit as described above. The medical device host and the reconfigurable power unit are connected via a communication bus to perform the method described in the first aspect above.

[0014] The beneficial effects of the embodiments of this application are as follows: The technical solution provided by this application firstly acquires the diagnosis and treatment working mode of the medical device host, the electrical connection and working status of each external accessory, and the real-time electrical parameters output by the reconfigurable power unit in real time. Combined with the pre-stored host basic power consumption model and accessory power consumption increment table, a trend extrapolation algorithm is used to predict future power demand. This solves the problem of the traditional power supply system's lagging perception of load changes and passive decision-making, realizing the transformation from forward-looking prediction to proactive decision-making and laying an intelligent foundation for system optimization. Secondly, by comparing the predicted demand with the maximum safe output capacity determined based on the current topology and component temperature, a reconfiguration command is generated and executed to dynamically adjust the power supply topology or working mode. This overcomes the problem of the mismatch between the rigid supply capacity of the fixed power supply and the dynamic load demand, making the power supply a flexible resource that can be dynamically reconfigured according to demand. Thus, when an overload is predicted, capacity can be expanded in advance to ensure power supply safety and continuity, and when a light load is predicted, the topology can be optimized to improve energy efficiency. This solves the contradiction of overload risk and energy waste coexisting in the traditional solution. Furthermore, by reporting the power status and decision-making basis to the medical device host and receiving safety instructions from it to coordinate and adjust the power supply strategy, the problem of the lack of safety assurance that the power supply as an independent subsystem might interfere with the host's critical clinical operations was finally solved. This achieved a deep integration of the power supply system with the clinical workflow and safety framework of the medical device, and on the basis of ensuring intelligent and efficient power supply, further achieved clinical-level safety collaboration that meets the requirements of medical devices. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart illustrating an adaptive power supply control method for a medical device system provided in an embodiment of this application; Figure 2 for Figure 1 A schematic diagram illustrating the specific implementation process of S120 in China; Figure 3 A schematic diagram of a medical device system provided in an embodiment of this application; Figure 4 This is a schematic diagram of the control and computing layer of a reconfigurable power unit provided in an embodiment of this application. Detailed Implementation

[0017] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0019] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0020] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0021] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0022] In the description of the embodiments of this application, the term "multiple frames" refers to two or more (including two).

[0023] In the description of the embodiments of this application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0024] Please see Figure 1 , Figure 1 This is a flowchart illustrating an adaptive power supply control method for a medical device system according to an embodiment of this application. The medical device system includes a medical device host, at least one external accessory, and a reconfigurable power unit. Specifically, the medical device host and the reconfigurable power unit are interconnected via a communication bus; the external accessory can be directly connected to the power supply port of the reconfigurable power unit, or connected through the interface of the medical device host and have its status information forwarded by the host.

[0025] This adaptive power supply control method for medical systems is implemented by a controller within a reconfigurable power unit. The main unit of the medical device may include, but is not limited to, ultrasound diagnostic instruments, patient monitors, ventilators, etc., and has multiple diagnostic and treatment operating modes. At least one external accessory may be included, such as a high-frequency electrosurgical unit, infusion pump, lighting, or display screen.

[0026] The reconfigurable power unit is an integrated intelligent power supply, built into portable medical devices or mobile medical carts. Its core components include: multiple battery cells with software-defined connections, supporting dynamic changes in series and parallel combinations of battery packs via a solid-state switch matrix to adapt to different voltage and capacity requirements; a programmable power conversion array composed of multiple standardized power submodules, each a standardized DC-DC or DC-AC unit containing fully controlled switching devices (such as MOSFETs and IGBTs), inductors, capacitors, and drive protection circuitry. These submodules can be reconfigured by changing their electrical connections on the bus (series, parallel, multi-phase interleaving, etc.) via controller commands, thereby reconfiguring the overall power conversion topology; and an embedded adaptive power controller, such as a microprocessor or FPGA, for implementing adaptive power supply control methods for the medical system, integrating data acquisition, analysis, decision-making, and control functions.

[0027] Depend on Figure 1 As can be seen, the adaptive power supply control method for a medical device system provided in this application includes the following steps S110 to S150. Details are as follows: S110: Real-time acquisition of the current diagnosis and treatment working mode of the medical device host, the electrical connection and working status of each external accessory, and the real-time electrical parameters output by the reconfigurable power unit.

[0028] The controller within the reconfigurable power unit obtains the current diagnostic and treatment operating mode of the medical device host via a digital communication bus (such as CAN, Ethernet, or a custom protocol) with the host device. This includes, for example, ultrasound's "B-mode," "Doppler mode," and "freeze mode." When the medical device host switches modes, it sends a status message containing a mode code to the controller.

[0029] The controller within the reconfigurable power unit determines the type, identity, and whether an accessory is electrically connected by using the intelligent identification pins (such as ID resistors, digital encoding chips) or bus enumeration protocols (such as USB PD) of each accessory interface. It obtains the operating status of each accessory, such as standby, low-power operation, full-power operation, or fault, by using the status feedback signals (such as switch signals, analog signals, or digital messages).

[0030] The real-time electrical parameters output by the reconfigurable power unit include output voltage, output current, and key AC characteristic parameters. Specifically, the output voltage and output current can be measured in real time using a high-precision ADC sampling circuit. Key AC characteristic parameters, such as the RMS value of the output voltage ripple and the total harmonic distortion (THD), are calculated using a high-speed ADC or a dedicated metering chip. Furthermore, these parameters are sampled at a fixed frequency (e.g., 1 kHz) to form time-series data.

[0031] S120: Based on the acquired information, combined with the pre-stored host basic power consumption model and the attached power consumption increment table, a trend extrapolation algorithm is used to predict the total power demand of the medical equipment system within a future predetermined time window; wherein, the host basic power consumption model associates the mapping relationship between different diagnosis and treatment working modes and host power consumption.

[0032] This step uses the acquired information, i.e. the current state, to make a forward-looking prediction of the system's total power demand over a future period, such as 0.1 seconds to several seconds.

[0033] Please see Figure 2 , Figure 2 for Figure 1 A schematic diagram of the implementation process of S120. (By...) Figure 2 It can be seen that S120 includes S1201 to S1204. Details are as follows: S1201: Query the baseline power consumption value corresponding to the current diagnosis and treatment working mode from the host's basic power consumption model.

[0034] The controller within the reconfigurable power unit internally stores or can access a host-based power consumption model via the bus. This model is a data table or function that establishes a mapping relationship between the typical power consumption or power consumption range of the medical device host under different diagnostic and treatment operating modes. For example: Operating mode: "Mode B", base power consumption reference value: 80W; Operating mode: "Doppler mode", base power consumption reference value: 150W; Operating mode: "Freeze mode", base power consumption reference value: 30W. The corresponding base power consumption reference value can be directly retrieved from the host-based power consumption model based on the received current mode.

[0035] S1202: Query the independent additional power consumption value of each connected accessory from the accessory power consumption increment table.

[0036] The controller internally stores an accessory power consumption increment table. This table records the typical additional power consumption values ​​of various accessories under different operating states. For example: accessory type: "high-frequency electrosurgical unit", status: "cutting", additional power consumption value: 300W; accessory type: "infusion pump", status: "running", additional power consumption value: 15W; accessory type: "LED lighting", status: "lit", additional power consumption value: 20W. Based on the identified connected accessories and their current status, the controller queries the table one by one to obtain the individual additional power consumption value of each accessory, and sums them to obtain the total additional power consumption.

[0037] S1203: Perform time series analysis on the output current in real-time electrical parameters and extract its slope and fluctuation characteristics over a preset time period.

[0038] The previously acquired output current time series data (such as the most recent 100ms data window) undergoes digital signal processing to extract its slope and fluctuation characteristics over a preset time period. For example, the least squares method or the difference method can be used to fit the average slope (k) of the current change within this time period to determine whether the load is in a rapid rise, fall, or relatively stable trend. The root mean square value and peak-to-peak value of the current are calculated, or frequency domain analysis (such as FFT) is performed to obtain its fluctuation amplitude and main frequency components. These characteristics reflect the dynamic characteristics of the load, such as motor start-stop and pulse loads.

[0039] S1204: Combines the base power consumption reference value, the sum of all additional power consumption values, and the dynamic adjustment amount calculated based on the slope and fluctuation characteristics to generate the total power demand curve within a predetermined future time window.

[0040] By fusing the baseline power consumption value, the sum of all additional power consumption values, and the dynamic adjustment amount calculated based on the slope and fluctuation characteristics, the total power demand curve within a predetermined time window (such as the next 500ms) is predicted.

[0041] Specifically, the process of generating the total power demand curve involves: first, calculating the static power base Pstatic = Pbase + ΣPacc; second, predicting the change in current ΔI(t) over future time windows based on real-time output current time series analysis; and finally, calculating the dynamic power adjustment Pdynamic(t) ≈ V in conjunction with the current output voltage V. ΔI(t) is used to obtain the total power demand forecast curve Pdemand(t) = Pstatic + Pdynamic(t). Here, Pdynamic(t) is the dynamic adjustment calculated based on the current current change slope and fluctuation characteristics. For example, if the slope k is positive and large, the power is predicted to continue to grow linearly in the short term: Pdynamic(t) = k × Irated × V × t (where Irated is the rated current and V is the voltage).

[0042] If a periodic fluctuation at a specific frequency is detected, the fluctuation pattern is predicted to continue, and a corresponding sinusoidal or pulsed power component is superimposed. This ultimately generates a total power demand curve that varies over time; this curve can be a discrete sequence of points, a piecewise linear expression, or a functional expression.

[0043] S130: Compare the total power demand with the maximum safe output capability of the reconfigurable power unit based on the current topology and component temperature.

[0044] In this step, the predicted power demand needs to be compared with the maximum safe output capability of the power unit under current conditions.

[0045] For example, the total power demand is compared with the maximum safe output capability of the reconfigurable power unit based on the current topology and component temperature. This includes: looking up a table to obtain the upper limit of sustainable safe output power under this operating state based on the number of currently active power modules in the reconfigurable power unit, the connection method, and the real-time temperature sensor data of key power components.

[0046] Specifically, the controller records the current topology configuration of the reconfigurable power units, including the number of active power submodules, their connection method (e.g., N parallel M series), and the specific topology used, such as multiphase interleaving or LLC resonant. It reads data from temperature sensors located on critical power components (e.g., switching transistors, magnetic components). The controller pre-stores or maintains a safe output capability lookup table through online learning. This table uses the topology configuration and the highest component temperature as input indices and outputs the maximum safe output power limit (Pmaxsafe) that can be continuously operated under this condition. For example: Configuration: "4 modules in parallel", maximum temperature: 75°C, Pmaxsafe: 800W; Configuration: "2 modules in parallel and 2 phases interleaved", maximum temperature: 85°C, Pmaxsafe: 600W.

[0047] It should be noted that the data in the safe output capability lookup table is pre-calibrated through experiments or continuously updated through online learning algorithms under different input voltage ranges and heat dissipation conditions. When looking up the table, in addition to the topology configuration and the highest component temperature, the current input voltage value is also used as an auxiliary index.

[0048] The curves generated in step S120 within the future time window are compared point by point or segment by segment with the maximum safe output power limit Pmaxsafe value obtained from the current table lookup.

[0049] S140: Based on the comparison results, generate and execute power unit reconfiguration instructions to dynamically adjust the power conversion topology of the reconfigurable power unit or the operating mode of the power module.

[0050] Based on the comparison results, the controller generates specific reconfiguration instructions to drive the power conversion array to change its hardware topology or operating mode. It then executes the power unit reconfiguration instructions. Specifically, based on the comparison results, generating and executing power unit reconfiguration instructions includes: if the minimum value of the predicted total power demand curve in the first consecutive time period in the future is continuously higher than the maximum safe output capacity, then generating and executing an expansion reconfiguration instruction to increase the power supply capacity; if the maximum value of the predicted total power demand curve in the second consecutive time period in the future is continuously lower than a specific percentage threshold of the maximum safe output capacity, then generating and executing an energy efficiency optimization reconfiguration instruction to reduce power loss; if the effective value of the output voltage ripple or the total harmonic distortion rate in the real-time electrical parameters exceeds the quality threshold set for the current diagnostic and treatment working mode, then generating and executing a quality optimization reconfiguration instruction to prioritize improving the output power quality.

[0051] The first and second consecutive time periods can be set based on system inertia, for example, both being 100 milliseconds. A specific percentage threshold can be set, for example, to 50% of the maximum safe output capacity. "Continuously higher" or "continuously lower" can be defined as all predicted points meeting the conditions within the corresponding time period, or the proportion of predicted points meeting the conditions exceeding a preset proportion (e.g., 90%).

[0052] Dynamically adjust the power conversion topology of the reconfigurable power unit, including at least one of the following hardware reconfiguration operations: increase or decrease the number of parallel DC-DC power modules; switch the series / parallel connection relationship of power modules; enable or bypass a specific phase in the multiphase interleaved parallel topology; change the switching network connection mode in the LLC resonant circuit or phase-shifted full-bridge circuit.

[0053] Furthermore, the adaptive power supply control method for medical device systems provided in this application embodiment further includes: after executing any reconfiguration instruction, monitoring the stable operating point and thermal state of the reconfigurable power unit in the new operating state; and dynamically calibrating and updating the lookup table data used to determine the maximum safe output capability based on the monitoring results, thereby forming a closed-loop parameter optimization.

[0054] By continuously monitoring the system's stable operating point (e.g., steady-state voltage and current) and thermal state (temperature at various points) under the new topology, the actual safe and stable power output capability is compared with the predicted capability used in the lookup table before reconstruction. If there is a persistent deviation (e.g., a decrease in actual capability due to device aging or changes in heat dissipation conditions), the lookup table data used to determine Pmaxsafe is dynamically calibrated and updated. This forms a closed-loop parameter optimization process from execution results feedback to the capability model, enabling the system to adapt to environmental and device degradation.

[0055] In addition, the controller has a preset priority order for reconfiguration instructions. For example, capacity expansion reconfiguration instructions have the highest priority, followed by quality improvement reconfiguration instructions, and energy efficiency optimization reconfiguration instructions have the lowest priority. When the triggering conditions of multiple reconfiguration instructions are met simultaneously, only the instruction with the highest priority is executed, or after executing a high-priority reconfiguration, the system re-evaluates whether a low-priority reconfiguration still needs to be executed.

[0056] S150: Reports the real-time status information and reconfiguration decision basis of the reconfigurable power unit to the medical device host, and receives safety instructions from the medical device host to coordinate the adjustment of the power supply strategy.

[0057] The controller periodically or event-triggeredly packages and reports the real-time status information of the reconfigurable power unit (such as current topology, output power, and temperature) and the basis for reconfiguration decisions to the medical device host. Specifically, the basis for reconfiguration decisions includes at least: the predicted power demand value that triggers reconfiguration, the maximum safe output capability value as a comparison benchmark, and the deviation value of the electrical parameter quality index on which the decision is based.

[0058] Based on advanced scenario awareness of its application, the medical device host can issue safety commands to the controller. These commands take precedence over the controller's own reconfiguration decision logic. Safety commands are issued by the medical device host based on at least one of the following scenarios: critical period of the imaging sequence, uninterrupted power supply requirements of life support equipment, or device mobility. Safety commands take precedence over reconfiguration decisions.

[0059] For example, when the host is performing MRI sequence acquisition or ultrasound contrast agent tracking, it issues a "lock power supply mode" command to prohibit any reconfiguration operations that may cause minor voltage disturbances during this period. When a ventilator or extracorporeal circulation pump is connected, the host issues a "maximum redundancy" command to force the power units to maintain a topology of multi-module redundant parallel connection, even under light load.

[0060] When the acceleration sensor of an integrated system (such as a mobile medical cart) detects that it is crossing a threshold or bumpy road, the host issues a "robust priority" command to suspend unnecessary reconfiguration and prevent malfunctions caused by changes in contact resistance due to vibration.

[0061] Upon receiving such a safety instruction, the controller immediately adjusts its control strategy to prioritize the safety or stability required by the instruction, and resumes the adaptive control loop after the instruction is released.

[0062] As can be seen from the above analysis, the adaptive power supply control method for medical equipment systems provided in this application includes: injecting a non-invasive preset excitation signal into a medical power supply system in normal working condition; synchronously acquiring the response signal of the medical power supply system and preprocessing the response signal; generating system dynamic response characteristics based on the excitation signal and the processed response signal; performing difference analysis between the dynamic response characteristics and pre-stored benchmark characteristics to obtain characteristic parameters characterizing system performance degradation; matching the characteristic parameters with a pre-established fault database to identify faulty component types and output quantitative indicators of their performance degradation. Through active excitation and dynamic response analysis, faults can be predicted early with high sensitivity, and the source can be accurately traced to specific component types and the degree of performance degradation can be quantified, thereby significantly improving maintenance efficiency and system reliability.

[0063] Please see Figure 3 , Figure 3 This is a schematic diagram of a medical device system provided according to an embodiment of this application. Figure 3 As can be seen, the medical device system 300 provided in this application embodiment includes a medical device host 310, at least one external accessory 320, and a reconfigurable power unit 330. Specifically, the medical device host 310 and the reconfigurable power unit 330 are interconnected via a communication bus; the external accessory 320 can be directly connected to the power supply port of the reconfigurable power unit 330, or it can be connected through the interface of the medical device host 310. When the external accessory 320 is connected through the medical device host 310, its electrical status information is forwarded by the medical device host 310 to the reconfigurable power unit 330 via the communication bus. The specific diagnostic and treatment working modes of the medical device host 310 (such as B mode, Doppler mode), as well as the type, connection identification, and working status (such as standby, running) of the external accessory 320, have been defined and exemplified in detail in step S110 of the method embodiment above, and will not be repeated here.

[0064] This embodiment focuses on a detailed description of the reconfigurable power unit 330. For example... Figure 3As shown, the reconfigurable power unit 330, as an integrated intelligent power supply, can be divided into a power supply and hardware reconfiguration execution layer and a control and computing layer. The power supply and hardware reconfiguration execution layer provides the physical hardware foundation for power conversion and dynamic topology adjustment, specifically including: multiple battery units 331 with software-defined connections, capable of dynamically changing the series and parallel electrical connections of multiple battery units through a matrix network composed of solid-state switches; a programmable power conversion array 332 composed of multiple standardized power sub-modules, each sub-module being a standardized DC-DC or DC-AC unit containing fully controllable switching devices (such as MOSFETs and IGBTs), inductors, capacitors, and drive protection circuits. The outputs of these sub-modules are connected through a controllable switch network on the backplane, supporting dynamic configuration into series, parallel, or multi-phase interleaved parallel topologies; and a sensing and driving circuit 333, including a high-precision ADC circuit for acquiring output voltage and current, a sensor for measuring the temperature of key power components, and an isolated driving circuit for driving the aforementioned solid-state switches and power semiconductor switches.

[0065] The control and computation layer is responsible for running the control algorithm and directing the hardware layer to perform operations. At its core is an embedded control system.

[0066] For example, such as Figure 4 As shown, Figure 4 This is a schematic diagram of the control and computation layer of the reconfigurable power unit provided in an embodiment of this application. Figure 4 It is understood that the control and calculation layer of the reconfigurable power unit specifically includes: a processor 410, a memory 420, and a computer program 430 stored in the memory 420 and executable on the processor 410; when the processor 410 executes the computer program 430, it implements the steps in the above-described embodiments of the adaptive power supply control method for medical device systems, for example... Figure 1 Steps S110 to S150 are shown.

[0067] It should be noted that the processor 410 does not operate in isolation. It is tightly coupled to the "power supply and hardware reconfiguration execution layer" through a set of dedicated hardware interfaces, forming a closed-loop control. For example, through digital I / O ports and a programmable pulse width modulation (PWM) generator, it directly controls the on / off state of the solid-state switch matrix and the drive signals of the power semiconductor switches, thereby executing hardware reconfiguration instructions such as adding or removing parallel modules, switching series-parallel relationships, and adjusting switching frequencies. Through an analog-to-digital converter (ADC) interface, it reads the output voltage, current, and temperature data from the sensing circuit in real time. It exchanges data with the medical device host 310 through a communication controller (such as a CAN controller or Ethernet PHY). Therefore, the reconfiguration decisions generated by the computer program 430 are translated into physical signals that directly manipulate the underlying power hardware topology and operating mode through these hardware interfaces of the processor 410.

[0068] For example, computer program 430 may be divided into one or more modules / units, one or more of which are stored in memory 420 and executed by processor 410 to complete this application. One or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 430 in an adaptive power supply control device for a medical device system.

[0069] The reconfigurable power unit 330 provided in this embodiment may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that... Figure 3 This is merely an example of the reconfigurable power unit 330 and does not constitute a limitation on the reconfigurable power unit. It may include more or fewer components than shown, or combine certain components, or different components. For example, the reconfigurable power unit may also include input / output devices, network access devices, buses, etc.

[0070] The processor 410 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0071] The memory 420 can be an internal storage unit of the reconfigurable power unit, such as a hard disk or RAM. The memory 420 can also be an external storage device of the reconfigurable power unit, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the reconfigurable power unit can include both internal and external storage units. The memory 420 is used to store computer programs and other programs and data required by the reconfigurable power unit. The memory 420 can also be used to temporarily store data that has been output or will be output.

[0072] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0073] This application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the steps in any of the above method embodiments.

[0074] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0075] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the above-described method embodiments.

[0076] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0077] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0078] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0079] In the embodiments provided in this application, it should be understood that the disclosed apparatus / network devices and methods can be implemented in other ways. For example, the apparatus / network device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0080] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0081] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An adaptive power supply control method for a medical device system, characterized in that, The medical device system includes a medical device host, at least one external accessory, and a reconfigurable power unit. The method is executed by a controller within the reconfigurable power unit, and the method includes: The system can acquire in real time the current diagnosis and treatment working mode of the medical device host, the electrical connection and working status of each external accessory, and the real-time electrical parameters output by the reconfigurable power unit. Based on the acquired information, combined with the pre-stored host basic power consumption model and the attached power consumption increment table, a trend extrapolation algorithm is used to predict the total power demand of the medical equipment system within a future predetermined time window; wherein, the host basic power consumption model associates the mapping relationship between different diagnosis and treatment working modes and host power consumption; The total power requirement is compared with the maximum safe output capability of the reconfigurable power unit determined based on the current topology and component temperature. Based on the comparison results, a power unit reconfiguration instruction is generated and executed to dynamically adjust the power conversion topology of the reconfigurable power unit or the operating mode of the power module. The real-time status information and reconfiguration decision basis of the reconfigurable power unit are reported to the medical device host, and the host receives safety instructions from the medical device host to coordinate the adjustment of the power supply strategy.

2. The method as described in claim 1, characterized in that, Based on the acquired information, combined with the pre-stored host basic power consumption model and the attached power consumption increment table, a trend extrapolation algorithm is used to predict the total power demand of the medical equipment system within a future predetermined time window, including: Query the baseline power consumption value corresponding to the current diagnostic and treatment working mode from the host basic power consumption model; Retrieve the independent additional power consumption value of each connected accessory from the accessory power consumption increment table; Time series analysis is performed on the output current in the real-time electrical parameters to extract its slope and fluctuation characteristics over a preset time period; The base power consumption benchmark value, the sum of all additional power consumption values, and the dynamic adjustment amount calculated based on the change slope and fluctuation characteristics are fused to generate the total power demand curve within the predetermined future time window.

3. The method as described in claim 1, characterized in that, The comparison of the total power demand with the maximum safe output capability of the reconfigurable power unit determined based on the current topology and component temperature includes: Based on the number of currently active power modules, connection method, and real-time temperature sensor data of key power components in the reconfigurable power unit, the upper limit of sustainable safe output power under this operating state is obtained by looking up a table.

4. The method as described in claim 3, characterized in that, The step of generating and executing power unit reconfiguration instructions based on the comparison results includes: If the minimum value of the predicted total power demand curve is consistently higher than the maximum safe output capacity during the first consecutive period in the future, a capacity expansion and reconfiguration instruction is generated and executed to increase the power supply capacity. If the maximum value of the predicted total power demand curve remains below a specific percentage threshold of the maximum safe output capacity during the second consecutive period in the future, an energy efficiency optimization reconfiguration instruction is generated and executed to reduce power loss. If the effective value of the output voltage ripple or the total harmonic distortion rate in the real-time electrical parameters exceeds the quality threshold set for the current diagnostic and treatment working mode, a quality-optimized reconstruction instruction is generated and executed to prioritize improving the output power quality.

5. The method as described in claim 4, characterized in that, The dynamic adjustment of the power conversion topology of the reconfigurable power unit includes at least one of the following hardware reconfiguration operations: increasing or decreasing the number of parallel DC-DC power modules; switching the series / parallel connection relationship of power modules; enabling or bypassing a specific phase in the multiphase interleaved parallel topology; changing the switching network connection mode in the LLC resonant circuit or phase-shifted full-bridge circuit.

6. The method as described in claim 5, characterized in that, The method further includes: After executing any reconfiguration instruction, monitor the stable operating point and thermal state of the reconfigurable power unit in the new operating state; Based on the monitoring results, the lookup data used to determine the maximum safe output capability is dynamically calibrated and updated to form a closed-loop parameter optimization.

7. The method as described in claim 1, characterized in that, The basis for the reconfiguration decision includes at least: the predicted power demand value that triggers the reconfiguration, the maximum safe output capability value as a comparison benchmark, and the deviation value of the electrical parameter quality index on which the reconfiguration is based.

8. The method as described in claim 1, characterized in that, The safety command is issued by the medical device host based on at least one scenario: a critical period of the imaging sequence, an uninterrupted power supply requirement for life support equipment, or a mobile state of the device. The safety command takes precedence over the reconstruction decision.

9. The method according to any one of claims 1 to 8, characterized in that, The reconfigurable power unit is an integrated power supply built into portable medical devices or mobile medical carts, comprising: The invention includes multiple battery cells with software-defined interconnections, a programmable power conversion array consisting of multiple standardized power submodules, and an embedded adaptive power supply controller for performing the method of claim 1.

10. A medical device system, characterized in that, The device includes a medical device host, at least one external accessory, and a reconfigurable power unit as described in claim 9, wherein the medical device host and the reconfigurable power unit are connected via a communication bus to perform the method as described in any one of claims 1 to 8.

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