Control method, device and equipment of ultrasonic therapeutic instrument and medium

Abstract

The invention provides a control method, device and equipment of an ultrasonic therapeutic instrument and a medium, and relates to the technical field of ultrasonic therapeutic instrument control, target control parameters are generated according to preset treatment information, control stage division is performed on the target control parameters, and a first stage, a second stage and a reference stage are determined; respectively carrying out control state analysis and judgment on the first stage, the reference stage and the second stage, and carrying out combined judgment according to a judgment result to obtain front-section control state judgment information and rear-section control state judgment information; according to the front-section control state judgment information and the rear-section control state judgment information, front-section adjustment and rear-section adjustment are carried out respectively, control state adjustment information is obtained, staging state analysis and control of the ultrasonic therapeutic instrument are achieved, control precision and control efficiency are improved, and losses caused by untimely control are reduced.

Description

Technical Field

[0001] This invention proposes a control method, device, equipment, and medium for an ultrasonic therapy device, relating to the field of therapy device control technology, specifically to the field of ultrasonic therapy device control technology. Background Technology

[0002] Ultrasonic therapy devices achieve tissue repair and pain relief by adjusting parameters such as power and frequency. However, current technologies typically adjust the entire process of ultrasonic therapy devices and optimize based on the adjustment results. This control method has drawbacks such as untimely control, excessive resource consumption, and lack of specificity.

[0003] Traditional control methods typically only determine whether an anomaly is abnormal or not, making it difficult to determine whether the anomaly affects the current stage or other stages, thus making it difficult to trace the source of the control. Summary of the Invention

[0004] This invention provides a control method, device, equipment, and medium for an ultrasonic therapy device to solve the above-mentioned problems:

[0005] This invention proposes a control method, device, equipment, and medium for an ultrasonic therapy device, wherein the method includes:

[0006] S1. Generate target control parameters based on preset treatment information, divide the target control parameters into control stages, and determine the first stage, the second stage, and the reference stage;

[0007] S2. Perform control state analysis and judgment on the first stage, reference stage and second stage respectively, and combine the judgment results to obtain the front-end control state judgment information and the back-end control state judgment information.

[0008] S3. Based on the front-end control state determination information and the back-end control state determination information, perform front-end adjustment and back-end adjustment respectively to obtain control state adjustment information.

[0009] Further, the device includes:

[0010] Sensor array, processor, timer, and controller;

[0011] The sensor array’s signal output terminal is connected to the processor’s digital signal input terminal, and the processor’s digital signal output terminal is connected to the controller’s digital signal input terminal.

[0012] The digital signal output terminal of the timer is connected to the digital signal input terminal of the controller;

[0013] The sensor group includes power sensors, frequency sensors, and temperature sensors, etc.

[0014] Furthermore, the device includes:

[0015] The phase division module is used to generate target control parameters based on preset treatment information, divide the target control parameters into control phases, and determine the first phase, the second phase, and the reference phase.

[0016] The status analysis module is used to perform control status analysis and judgment on the first stage, the reference stage and the second stage respectively, and combine the judgment results to obtain the front-end control status judgment information and the back-end control status judgment information.

[0017] The front and rear control modules are used to perform front-end and rear-end adjustments based on the front-end control status determination information and the rear-end control status determination information, respectively, to obtain control status adjustment information.

[0018] Furthermore, when the instructions are executed by the processor, a control method for the ultrasonic therapy device is implemented.

[0019] The beneficial effects of this invention are: it breaks down complex treatment processes into independently controllable stages, avoiding global failure caused by the loss of control of a single parameter.

[0020] The control phase analysis enables refined judgment, ensuring that the actual parameters are highly consistent with the target. This solves the problems of existing technologies, which rely solely on control results for strategy optimization, leading to excessive losses in the overall control and adjustment process, difficulty in analyzing control anomalies, and low adjustment accuracy.

[0021] When the first segment is positive and the second segment is negative, only the parameters of the second segment are adjusted to avoid repeated intervention in the first segment.

[0022] When the first stage is negative and the second stage is negative, treatment should be stopped immediately and an alarm should be triggered to prevent continuous damage caused by power source failure or sensor drift.

[0023] Target parameters are dynamically modified based on patient feedback or tissue characteristics to improve treatment comfort.

[0024] Record parameter changes for each adjustment to support clinical traceability and strategy optimization.

[0025] It implements stage division, state determination, and adjustment logic without requiring additional hardware and is compatible with existing ultrasound therapy devices. It supports joint determination of multiple parameters such as power, frequency, and temperature, and automatically degrades operation in case of a single sensor failure to avoid treatment interruption. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of a control method for an ultrasound therapy device. Detailed Implementation

[0027] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0028] In one embodiment of the present invention, a control method, apparatus, device, and medium for an ultrasonic therapy device are provided, the method comprising:

[0029] S1. Generate target control parameters based on preset treatment information, divide the target control parameters into control stages, and determine the first stage, the second stage, and the reference stage;

[0030] S2. Perform control state analysis and judgment on the first stage, reference stage and second stage respectively, and combine the judgment results to obtain the front-end control state judgment information and the back-end control state judgment information.

[0031] S3. Based on the front-end control state determination information and the back-end control state determination information, perform front-end adjustment and back-end adjustment respectively to obtain control state adjustment information.

[0032] The working principle and technical effects of the above technical solution are as follows: Input preset treatment information to generate target control parameters. The treatment process is divided into three stages: the first stage, the reference stage, and the second stage, each of which can consist of multiple sub-stages.

[0033] Output the target parameters (power, frequency, temperature, duration) for each stage and the stage switching time.

[0034] Real-time collection of actual parameters at each stage enables analysis of control compliance (including insufficient control, normal control, and excessive control). Compliance of both the first stage and the reference stage indicates a "positive state"; failure in any stage indicates a "negative state".

[0035] Passing both the reference stage and the second stage → "positive state"; failing either stage → "negative state".

[0036] Front-end control status determination information (such as "front-end positive") and rear-end control status determination information (such as "rear-end negative").

[0037] If the later stage fails to meet the requirements (such as the temperature exceeding the standard in the second stage), it is caused by the parameter deviation in the second stage or the residual error in the reference stage. The earlier stage has been stabilized and no adjustment is needed.

[0038] Adjust the parameters of the later stage directly (e.g., reduce the power of the second stage to 52W, so that the temperature drops to 41℃).

[0039] Failure in the front end (such as power fluctuations in the first stage) may lead to instability in the input of the back end (such as temperature runaway in the reference stage), which needs to be repaired from the source.

[0040] Prioritize adjusting the front-end parameters.

[0041] If the subsequent section is still unqualified after the previous section is repaired, adjust the parameters of the subsequent section (such as relaxing the temperature threshold of the second stage to 43℃).

[0042] By breaking down complex treatment processes into independently controllable stages, we can avoid global failure caused by the loss of control over a single parameter.

[0043] The control phase analysis enables refined judgment, ensuring that the actual parameters are highly consistent with the target. This solves the problems of existing technologies, which rely solely on control results for strategy optimization, leading to excessive losses in the overall control and adjustment process, difficulty in analyzing control anomalies, and low adjustment accuracy.

[0044] When the first segment is positive and the second segment is negative, only the parameters of the second segment are adjusted to avoid repeated intervention in the first segment.

[0045] When the first stage is negative and the second stage is negative, treatment should be stopped immediately and an alarm should be triggered to prevent continuous damage caused by power source failure or sensor drift.

[0046] Target parameters are dynamically modified based on patient feedback or tissue characteristics to improve treatment comfort.

[0047] Record parameter changes for each adjustment to support clinical traceability and strategy optimization.

[0048] It implements stage division, state determination, and adjustment logic without requiring additional hardware and is compatible with existing ultrasound therapy devices. It supports joint determination of multiple parameters such as power, frequency, and temperature, and automatically degrades operation in case of a single sensor failure to avoid treatment interruption.

[0049] In one embodiment of the present invention, S1 includes:

[0050] Preset treatment information is obtained based on patient information, and treatment range location information and target control information are determined based on the preset treatment information.

[0051] Generate target control parameters based on target control information;

[0052] The target control parameters are divided into stages to obtain multiple control stages and stage parameters; the stage division is based on time.

[0053] The parameters for each control stage are categorized to obtain parameters for multiple stage types.

[0054] The reference stage is determined by taking the median stage among multiple control stages as the center; the method for determining the median stage is the same as the method for determining the median.

[0055] The control phase preceding the reference acquisition phase is defined as the first phase.

[0056] The control phase following the reference acquisition phase is designated as the second phase.

[0057] The working principle and technical effect of the above technical solution are as follows: Based on individual patient data, such as age, condition, and treatment site, preset treatment information is generated to clarify the treatment range (area of ​​action, depth) and target control information (desired ultrasound parameters, such as frequency, power, and duration).

[0058] An initial parameter set is generated based on the target control information and divided into multiple control stages (such as preheating, treatment, and cooling) based on the time axis. Each stage is assigned independent parameters (such as power gradient changes).

[0059] The parameters for each stage are further categorized (such as frequency, power, and duration) to achieve refined control.

[0060] Using the median stage (the middle stage after chronological order) as a reference point, the treatment process was divided into a first-stage group (before the reference stage) and a second-stage group (after the reference stage).

[0061] Real-time monitoring of treatment data (such as tissue temperature and patient feedback) and dynamic adjustment of stage parameters (such as early termination of high-risk stages or extension of effective stages) ensure a balance between treatment safety and effectiveness.

[0062] Parameters are dynamically adjusted based on patient characteristics to adapt to and control abnormal processes.

[0063] During the preheating phase, the temperature is gradually increased to prevent burns; during the cooling phase, the power is slowly reduced to avoid tissue stress; and during the mid-stage, the treatment rhythm is ensured to be "slow at the beginning and stable at the end" by referring to the mechanism.

[0064] By triggering protection mechanisms through feedback data (such as automatically reducing power when the temperature exceeds the limit), the risk of medical accidents can be reduced.

[0065] Optimize ultrasound penetration depth and energy distribution in stages to enhance targeted therapy.

[0066] To avoid skin burns or nerve irritation caused by prolonged high power, and to improve patient tolerance to treatment.

[0067] The stage-parameter hierarchical structure simplifies control logic, reduces device development complexity, and supports rapid adaptation to different treatment scenarios.

[0068] In one embodiment of the present invention, S2 includes:

[0069] The control data of the first stage is acquired, and the control state of the first stage is analyzed based on the control data of the first stage and the target control of the first stage to obtain the control state analysis information of the first stage, and then the control state determination information of the first stage is obtained.

[0070] The control data of the reference stage is obtained, and then the reference control state determination information of the reference stage is obtained. The front-end control state determination information is obtained based on the first control state determination information and the reference control state determination information.

[0071] The control data of the second stage is obtained, and then the second control state determination information of the second stage is obtained. The subsequent control state determination information is obtained based on the reference control state determination information and the second control state determination information.

[0072] The working principle and technical effect of the above technical solution are as follows: The actual control data of the first stage is collected and combined with the target control parameters of the first stage to generate control state analysis information for the first stage. Further determination of the control state judgment information for the first stage is then performed.

[0073] Collect control data during the reference phase (mid-stage) and generate reference control state determination information, which serves as the benchmark for state analysis before and after the phase.

[0074] Collect control data for the second stage and generate second control state determination information.

[0075] By combining the judgment information from the first stage and the judgment information from the reference stage, the front-end control status judgment information is generated.

[0076] Based on the information from the second stage, subsequent control state determination information is generated using similar logic.

[0077] The status determination information of the front and rear stages is fed back to the control module, triggering a dynamic adjustment strategy and forming a closed loop of "analysis-determination-adjustment".

[0078] By independently analyzing control data at each stage, a refined state perception of the treatment process can be achieved, avoiding the ambiguity of a single global judgment.

[0079] By taking into account the stability of the reference phase, potential risks can be identified in advance.

[0080] By comparing the state before and after treatment, the therapeutic efficacy or the trend of side effects can be predicted.

[0081] Treatment parameters are adjusted in real time based on the status assessment results to ensure that the treatment maximizes efficacy within a safe range.

[0082] To avoid overall treatment failure due to abnormalities in local stages.

[0083] The phased state determination logic can be optimized or replaced independently, reducing system maintenance costs.

[0084] It is applicable to a variety of ultrasound treatment modes, and can be adapted to different scenarios simply by adjusting the judgment rule library.

[0085] In one embodiment of the present invention, the step of acquiring control data for the first stage, performing control state analysis for the first stage based on the control data for the first stage and the target control for the first stage, obtaining control state analysis information for the first stage, and then obtaining control state determination information for the first stage includes:

[0086] Calculate the first control pass coefficient for the first stage based on the control data from the first stage and the target control parameters for the first stage.

[0087] The formula for calculating the first control pass coefficient is:

[0088]

[0089] Where H1 is the first control pass coefficient, A i T represents the actual control data for the i-th stage type parameter in the first stage. i S represents the target control data for the i-th stage category parameters in the first stage. i Let n be the allowable deviation threshold for the category control data in the i-th stage of the first phase, and n be the total number of categories to be evaluated.

[0090] The first control pass coefficient is compared with the control pass threshold to obtain the first control pass comparison result of the first stage.

[0091] Based on the first control qualification comparison result of the first stage, the first control qualification is determined in the first stage to obtain the first control status determination information of the first stage.

[0092] The working principle and technical effect of the above technical solution are as follows: Collect actual control data from the first stage (such as ultrasound power, frequency, treatment time, tissue temperature, etc.). Extract the target control parameters from the first stage (such as preset power range, safe temperature threshold, treatment duration, etc.) as an evaluation benchmark.

[0093] The first control qualification coefficient is calculated using a formula to quantify the degree of matching between the actual control data and the target parameters.

[0094] The first control pass coefficient is compared with the preset control pass threshold to generate the first control pass comparison result.

[0095] The first control state determination information is output based on the comparison result.

[0096] By converting the control effect into a quantifiable pass rate through mathematical formulas, the ambiguity of human judgment and reliance on experience are avoided, thereby improving the objectivity of the assessment.

[0097] The formula comprehensively reflects the quality control in the first stage, avoiding misjudgments caused by deviations in a single parameter.

[0098] The control threshold can be dynamically adjusted according to the treatment mode (such as pain management which requires strict temperature control, and tissue repair which allows for greater power fluctuations), thus enhancing the versatility of the method.

[0099] By comparing the pass coefficient with the threshold in real time, abnormal control can be quickly identified, triggering early warnings or automatically adjusting parameters to ensure treatment safety.

[0100] The quantitative assessment logic can be embedded in the equipment control system, so that clinical staff only need to focus on the judgment results, without having to manually analyze complex data, thus simplifying the operation process.

[0101] In one embodiment of the present invention, the step of acquiring control data in the reference stage, and then acquiring reference control state determination information in the reference stage, and acquiring front-end control state determination information based on the first control state determination information and the reference control state determination information, includes:

[0102] The reference control qualification coefficient for the reference stage is calculated based on the control data of the reference stage and the target control parameters of the reference stage. The reference control status judgment information for the reference stage is obtained based on the reference control qualification coefficient for the reference stage.

[0103] The formula for calculating the reference control pass coefficient is as follows:

[0104]

[0105] Among them, H j For reference control pass coefficient, B k For the actual control data of the type parameter in the k-th stage of the reference stage, q k For the target control data of the k-th stage type parameter in the reference stage, X k The threshold for allowable deviation of the control data for the k-th stage of the reference phase is given, and m is the total number of assessment categories.

[0106] When the first control state determination information of the first stage is qualified and the reference control state determination information of the reference stage is qualified, the front-end control state is determined to be positive; the front-end control is a combination control of the first stage and the reference stage.

[0107] When the first control state determination information of the first stage is unqualified, and the reference control state determination information of the reference stage is unqualified, the preceding control state is determined to be negative. When the first control state determination information of the first stage is unqualified, the control parameters of the first stage are adjusted until the first control state determination information of the first stage is qualified.

[0108] The failure of the first control state may be due to insufficient control.

[0109] The reference control state may be unqualified due to insufficient control and / or excessive control in the first control state.

[0110] The working principle and technical effect of the above technical solution are as follows: to obtain the actual control data (such as power, frequency, temperature, time, etc.) and the corresponding target control parameters (such as preset power range threshold and safe temperature threshold) during the reference stage (mid-stage).

[0111] The reference control compliance coefficient is calculated using a formula to quantify the degree of matching between actual control and the target during the reference stage.

[0112] The reference control pass coefficient is compared with the preset threshold to generate reference control status determination information.

[0113] The first stage control status is determined to be "qualified" and the reference stage control status is also determined to be "qualified".

[0114] The initial control (Phase I + Reference Phase) was generally stable, and the treatment progress was in line with expectations.

[0115] The first stage control status is judged as "unqualified" and the reference stage control status is also judged as "unqualified".

[0116] If there is a systematic deviation in the front-end control (such as persistent insufficient power or excessive temperature), immediate intervention is required.

[0117] If the first stage is judged as "unqualified", the system will automatically trigger the adjustment of control parameters and recalculate the first stage pass coefficient until it is judged as "qualified".

[0118] By combining the first stage and the reference stage, a distinction is made between local anomalies and systemic risks:

[0119] A single stage of non-compliance may be due to occasional fluctuations.

[0120] If both stages fail, it indicates a flaw in the control strategy (such as incorrect power calibration), requiring in-depth intervention.

[0121] The system automatically adjusts parameters for unqualified stages to prevent overall treatment interruption due to local loss of control.

[0122] The pass / fail coefficient formula eliminates the ambiguity of manual judgment.

[0123] The threshold can be dynamically optimized based on clinical big data (such as differences in safe temperature thresholds for patients of different ages) to improve the adaptability of the method.

[0124] When the front-end control determines the direction as "positive", the system can automatically proceed to the next stage and dynamically adjust the subsequent parameters.

[0125] Negative states trigger emergency interventions (such as suspending treatment and issuing an alarm) to prevent the risk from spreading.

[0126] In one embodiment of the present invention, the step of obtaining control data for the second stage, and then obtaining second control state determination information for the second stage, and obtaining subsequent control state determination information based on reference control state determination information and the second control state determination information, includes:

[0127] Calculate the second control qualification coefficient of the second stage based on the control data of the second stage and the target control parameters of the second stage, and obtain the second control status judgment information of the second stage based on the second control qualification coefficient of the second stage.

[0128] The formula for calculating the second control pass coefficient is:

[0129]

[0130] Where H2 is the second control pass coefficient, C o For the actual control data of the type parameter of the second stage, stage o, R o For the target control data of the type parameter of the second stage, stage o, V o The allowable deviation threshold for the control data of the oth stage in the second phase is given, and F is the total number of assessment categories.

[0131] When the reference control state determination information of the reference stage is qualified and the second control state determination information of the second stage is qualified, the subsequent control state is determined to be positive; the subsequent control is a combination of the reference stage and the subsequent stage.

[0132] When the reference control state determination information of the reference stage is unqualified, and the second control state determination information of the second stage is unqualified, the subsequent control state is determined to be negative. When the reference stage is unqualified, control optimization and adjustment are performed on the reference stage until the reference control state determination information of the reference stage is qualified.

[0133] The second control state may be unqualified due to insufficient control and / or excessive control as in the reference control state.

[0134] The working principle and technical effect of the above technical solution are as follows: Acquire actual control data for the second stage (such as ultrasound power, frequency, treatment time, tissue temperature, patient feedback, etc.). Extract the target control parameters for the second stage (such as preset power range, safe temperature threshold, treatment duration, etc.) as an evaluation benchmark.

[0135] The degree of alignment between actual control and objectives in the second stage is quantified using a formula.

[0136] The second control pass coefficient is compared with the preset threshold to generate judgment information.

[0137] The reference stage control status is determined to be "qualified" and the second stage control status is determined to be "qualified".

[0138] The overall control of the later stages (reference stage + second stage) is stable, the treatment progress is in line with expectations, and it can be safely advanced to the subsequent procedures.

[0139] The reference stage control status is determined to be "unqualified" and the second stage control status is determined to be "unqualified".

[0140] There are systemic risks in the downstream control (such as continuous insufficient power or excessive temperature), which require immediate intervention.

[0141] If the reference stage is deemed "unqualified", the system will automatically trigger the optimization and adjustment of control parameters (such as adjusting the power calibration coefficient and optimizing the temperature feedback algorithm) and recalculate the reference stage qualification coefficient until it is deemed "qualified".

[0142] Ensure that the subsequent control enters a "positive state" to avoid affecting the efficacy of the second stage due to loss of control in the reference stage.

[0143] Multi-stage state correlation analysis improves the accuracy of risk identification.

[0144] By combining the reference phase and the second phase of judgment, local anomalies and systemic risks can be distinguished:

[0145] A single stage failure may be due to random fluctuations (such as patient movement causing sensor misreading).

[0146] If both stages fail, it indicates a flaw in the control strategy (such as power calibration error or temperature feedback delay), requiring in-depth intervention.

[0147] Automatically adjust unqualified parameters in the reference stage to avoid interruption of the overall treatment due to local loss of control.

[0148] The second control pass coefficient formula eliminates the ambiguity of manual judgment (such as the differentiated treatment of "temperature too high" and "temperature seriously exceeding the standard").

[0149] Thresholds can be dynamically optimized based on clinical big data (such as differences in safety thresholds under different treatment modes) to improve the adaptability of the method.

[0150] When the subsequent control is determined to be "positive", the system can automatically end the treatment or advance to the cooling phase and dynamically adjust subsequent parameters.

[0151] A negative state triggers emergency intervention to prevent the risk from spreading.

[0152] By dynamically adjusting the reference phase, its reliability as a benchmark for the second phase is ensured.

[0153] The optimized reference stage data can be fed back to the first stage to form a closed-loop control throughout the entire process.

[0154] In one embodiment of the present invention, S3 includes:

[0155] When the current stage control state is positive control and the subsequent stage control state is negative control, the subsequent stage control state is adjusted to obtain the subsequent stage control state adjustment information.

[0156] When both the current control state and the subsequent control state are negative, the current control state is adjusted to obtain the adjustment information of the current control state (the subsequent control state is also adjusted when necessary).

[0157] The working principle and technical effect of the above technical solution are as follows: the front-end control (first stage + reference stage) has been determined to be in a "positive state", but the back-end control (reference stage + second stage) has been determined to be in a "negative state".

[0158] A successful initial phase indicates stable initial control (such as preheating and basic treatment), but a loss of control in the later phase (such as excessive temperature or insufficient power during the intensive treatment phase) may be caused by deviations in the parameters of the second phase or residual errors in the reference phase.

[0159] Since the previous stage is already stable, there is no need for repeated adjustments; we can directly focus on the issues in the later stage.

[0160] Both the front-end and rear-end controls are judged to be in a "negative state".

[0161] This indicates that the control problem is systemic and needs to be investigated step by step from the source.

[0162] Repair the front-end control and then assess whether the back-end is affected by the front-end.

[0163] If the subsequent section is still unqualified after the previous section is repaired, the parameters of the subsequent section should be adjusted simultaneously.

[0164] Post-stage adjustment (positive front-stage + negative rear-stage):

[0165] For the non-conforming stage in the later stage, the parameters are optimized and the conformity coefficient of the later stage is recalculated to generate the control state adjustment information of the later stage.

[0166] For the unqualified stage in the front end, parameters are reset, the qualified coefficient of the front end is recalculated, and the front end control status adjustment information is generated (such as "qualified after the first stage power calibration").

[0167] If the subsequent stage is still unqualified after the preceding stage is repaired, the parameters of the subsequent stage are further adjusted to generate subsequent stage control status adjustment information.

[0168] Focus directly on the problems in the later stages, avoid repeated adjustments in the earlier stages, and shorten the fault location time (e.g., from 10 minutes to 3 minutes).

[0169] Prioritize repairing the front-end basic control to prevent problems from spreading to the back-end (such as unstable power in the front-end causing temperature fluctuations in the back-end), and reduce the number of ineffective adjustments.

[0170] By combining the status of the pre- and post-treatment stages, we can distinguish between local abnormalities (such as sensor failure in the second stage) and global risks (such as power source failure), thus avoiding treatment interruption or over-intervention due to misjudgment.

[0171] After the initial repair, the system can automatically advance to the subsequent adjustment without manual intervention, thus shortening the total treatment time.

[0172] If the adjustment still fails to meet the requirements, the system will trigger an emergency stop and alarm to prevent the risk from spreading.

[0173] The adjustment is based on a quantitative pass coefficient to eliminate differences in human experience.

[0174] Adjustment information can be recorded in the treatment log.

[0175] In one embodiment of the present invention, the apparatus includes:

[0176] Sensor array, processor, timer, and controller;

[0177] The sensor array’s signal output terminal is connected to the processor’s digital signal input terminal, and the processor’s digital signal output terminal is connected to the controller’s digital signal input terminal.

[0178] The digital signal output terminal of the timer is connected to the digital signal input terminal of the controller;

[0179] The sensor group includes power sensors, frequency sensors, and temperature sensors, etc.

[0180] The device includes:

[0181] The phase division module is used to generate target control parameters based on preset treatment information, divide the target control parameters into control phases, and determine the first phase, the second phase, and the reference phase.

[0182] The status analysis module is used to perform control status analysis and judgment on the first stage, the reference stage and the second stage respectively, and combine the judgment results to obtain the front-end control status judgment information and the back-end control status judgment information.

[0183] The front and rear control modules are used to perform front-end and rear-end adjustments based on the front-end control status determination information and the rear-end control status determination information, respectively, to obtain control status adjustment information.

[0184] When the instructions are executed by the processor, they implement the control method for the ultrasonic therapy device.

[0185] The working principle and technical effect of the above technical solution are as follows: real-time monitoring of ultrasound output power, tracking of ultrasound frequency (such as 1MHz or 3MHz), monitoring of treatment area temperature and recording of the duration of each stage (such as 2 minutes of preheating, 10 minutes of treatment, and 3 minutes of cooling) to ensure that the process conforms to the preset protocol.

[0186] Convert the sensor's analog signal to a digital signal (e.g., ADC sampling rate of 10kHz) and preprocess the data (e.g., filter to remove noise and calibrate sensor bias).

[0187] It receives digital signals (such as power values ​​and temperature values) and timer signals (such as stage switching time points) output by the processor and executes control instructions.

[0188] Pre-set treatment information, generate target control parameters and divide them into three stages, and analyze the deviation between the actual parameters and the target in each stage.

[0189] Passing both the first stage and the reference stage → "Positive state"; failing any stage → "Negative state".

[0190] Passing both the reference stage and the second stage → "positive state"; failing either stage → "negative state".

[0191] Positive front end + negative back end: Directly adjust the back end parameters.

[0192] Front-end negative + rear-end negative: Prioritize adjusting the front-end parameters. If the rear-end is still unqualified after repair, then adjust the rear-end parameters.

[0193] Generate control state adjustment information and feed it back to the controller for execution.

[0194] Closed-loop control throughout the entire process improves treatment accuracy, and graded risk response ensures treatment safety;

[0195] Local anomaly isolation, global risk blocking, dynamic adjustment of stage parameters, and real-time modification of target parameters improve treatment comfort. Parameter changes for each adjustment are recorded. The power sensor employs a dual-channel design (main sensor + backup sensor), automatically switching to the backup sensor in case of main sensor failure to prevent data interruption leading to control failure. The timer hardware is isolated and operates independently of the processor to prevent software crashes from causing incorrect stage durations.

[0196] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A control method for an ultrasonic therapy device, characterized in that, The method includes: S1. Generate target control parameters based on preset treatment information, divide the target control parameters into control stages, and determine the first stage, the second stage, and the reference stage; S2. Perform control state analysis and judgment on the first stage, reference stage and second stage respectively, and combine the judgment results to obtain the front-end control state judgment information and the back-end control state judgment information. S3. Based on the front-end control state determination information and the back-end control state determination information, perform front-end adjustment and back-end adjustment respectively to obtain control state adjustment information.

2. The control method for an ultrasonic therapy device according to claim 1, characterized in that, S1 includes: Preset treatment information is obtained based on patient information, and treatment range location information and target control information are determined based on the preset treatment information. Generate target control parameters based on target control information; The target control parameters are divided into stages to obtain multiple control stages and stage parameters; The parameters for each control stage are categorized to obtain parameters for multiple stage types. A reference stage is determined by centering on the median stage of multiple control stages; The control phase preceding the reference acquisition phase is defined as the first phase. The control phase following the reference acquisition phase is designated as the second phase.

3. The control method for an ultrasonic therapy device according to claim 1, characterized in that, S2 includes: The control data of the first stage is acquired, and the control state of the first stage is analyzed based on the control data of the first stage and the target control of the first stage to obtain the control state analysis information of the first stage, and then the control state determination information of the first stage is obtained. The control data of the reference stage is obtained, and then the reference control state determination information of the reference stage is obtained. The front-end control state determination information is obtained based on the first control state determination information and the reference control state determination information. The control data of the second stage is obtained, and then the second control state determination information of the second stage is obtained. The subsequent control state determination information is obtained based on the reference control state determination information and the second control state determination information.

4. The control method for an ultrasonic therapy device according to claim 3, characterized in that, The process of acquiring control data for the first stage, performing control state analysis based on the control data and the target control for the first stage, obtaining control state analysis information for the first stage, and then obtaining control state determination information for the first stage includes: Calculate the first control pass coefficient for the first stage based on the control data from the first stage and the target control parameters for the first stage. The first control pass coefficient is compared with the control pass threshold to obtain the first control pass comparison result of the first stage. Based on the first control qualification comparison result of the first stage, the first control qualification is determined in the first stage to obtain the first control status determination information of the first stage.

5. The control method for an ultrasonic therapy device according to claim 3, characterized in that, The process of acquiring control data in the reference phase, and then acquiring reference control state determination information for the reference phase, and acquiring front-end control state determination information based on the first control state determination information and the reference control state determination information, includes: The reference control qualification coefficient for the reference stage is calculated based on the control data of the reference stage and the target control parameters of the reference stage. The reference control status judgment information for the reference stage is obtained based on the reference control qualification coefficient for the reference stage. When the first control state determination information of the first stage is qualified and the reference control state determination information of the reference stage is qualified, the front-end control state is determined to be positive. When the first control state determination information of the first stage is unqualified, and the reference control state determination information of the reference stage is unqualified, the front-end control state is determined to be negative.

6. The control method for an ultrasonic therapy device according to claim 3, characterized in that, The process of acquiring control data for the second stage, and then acquiring second control state determination information for the second stage, and acquiring subsequent control state determination information based on reference control state determination information and the second control state determination information, includes: Calculate the second control qualification coefficient of the second stage based on the control data of the second stage and the target control parameters of the second stage, and obtain the second control status judgment information of the second stage based on the second control qualification coefficient of the second stage. When the reference control state determination information of the reference stage is qualified and the second control state determination information of the second stage is qualified, the control state of the subsequent stage is determined to be positive. When the reference control state determination information of the reference stage is unqualified, and the second control state determination information of the second stage is unqualified, the subsequent control state is determined to be negative.

7. The control method for an ultrasonic therapy device according to claim 1, characterized in that, S3 includes: When the current stage control state is positive control and the subsequent stage control state is negative control, the subsequent stage control state is adjusted to obtain the subsequent stage control state adjustment information. When both the current control state and the subsequent control state are negative, the current control state is adjusted to obtain the adjustment information of the current control state.

8. A control device for an ultrasonic therapy instrument, characterized in that, The device includes: Sensor array, processor, timer, and controller; The sensor array’s signal output terminal is connected to the processor’s digital signal input terminal, and the processor’s digital signal output terminal is connected to the controller’s digital signal input terminal. The digital signal output terminal of the timer is connected to the digital signal input terminal of the controller; The sensor group includes a power sensor, a frequency sensor, and a temperature sensor.

9. A control device for an ultrasonic therapy instrument, characterized in that, The device includes: The phase division module is used to generate target control parameters based on preset treatment information, divide the target control parameters into control phases, and determine the first phase, the second phase, and the reference phase. The status analysis module is used to perform control status analysis and judgment on the first stage, the reference stage and the second stage respectively, and combine the judgment results to obtain the front-end control status judgment information and the back-end control status judgment information. The front and rear control modules are used to perform front-end and rear-end adjustments based on the front-end control status determination information and the rear-end control status determination information, respectively, to obtain control status adjustment information.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, characterized in that, when the instructions are executed by a processor, they implement a control method for an ultrasonic therapy device.

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