CN115919416B - Ultrasonic knife fracture abnormal warning method, system, device and medium - Google Patents
Ultrasonic knife fracture abnormal warning method, system, device and medium Download PDFInfo
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Abstract
The application provides an ultrasonic knife fracture abnormality early warning method, system, equipment and medium, wherein the method comprises the steps of carrying out no-load excitation test on an ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test passes; and acquiring impedance fluctuation rate and phase difference fluctuation rate in the ultrasonic knife excitation process, carrying out fracture anomaly identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, and carrying out the no-load excitation test on the ultrasonic knife again after the fracture anomaly is identified, so as to continuously execute cutting output after the test is passed, stopping exciting the ultrasonic knife until the number of the identified fracture anomalies exceeds a preset fracture number threshold value, and outputting corresponding anomaly early warning information. The application combines the characteristic degree of the ultrasonic knife to perform early warning, and can effectively ensure the high availability of the ultrasonic knife.
Description
Technical Field
The application relates to the field of intelligent medical equipment application, in particular to an ultrasonic knife fracture abnormality early warning method, an ultrasonic knife fracture abnormality early warning system, ultrasonic knife fracture abnormality early warning equipment and an ultrasonic knife fracture early warning medium.
Background
The ultrasonic scalpel is a common surgical scalpel, has the characteristics of small wound, less smoke, coagulability and the like, and is widely applied to surgical operations. The working principle is that the ultrasonic knife main machine generates energy output with a certain frequency, and the energy output is converted into mechanical longitudinal waves with the same frequency through the transducer to drive the ultrasonic knife head to vibrate, so that the ultrasonic knife head has high frequency and small amplitude and can cut and coagulate small-area human tissues.
The transducer itself has a fixed resonant frequency, and the ultrasonic blade can only operate most stably and with highest efficiency when the driving frequency is operated at the resonant frequency of the transducer. As the ultrasonic transducer changes resonant frequency along with temperature, environment, aging of elements and other factors, the working efficiency of the transducer is reduced, and meanwhile, if the ultrasonic tool bit works at a non-resonant point for a long time, the metal aging of the tool bit is accelerated to cause fracture or crack, so that the safety of operation is affected. At present, a method for detecting the fracture of the cutter head in the operation process is mainly adopted in the industry to establish a test database, and then the cutter is identified through feature matching, so that the common detection accuracy of the cutter identification in the operation process is not high due to the fact that the positions of the cutter are different, the cracks are different and the degree is different, and the operation efficiency and the operation safety are affected.
Disclosure of Invention
In view of the problems existing in the prior art, the application provides an ultrasonic knife fracture abnormality pre-warning method, an ultrasonic knife fracture abnormality pre-warning system, ultrasonic knife fracture abnormality pre-warning equipment and an ultrasonic knife fracture abnormality pre-warning medium, which mainly solve the problems that the characteristics of an ultrasonic knife are not considered in the prior ultrasonic knife abnormality pre-warning, and the identification accuracy of the broken knife is insufficient.
In order to achieve the above and other objects, the present application adopts the following technical scheme.
The application provides an ultrasonic knife fracture abnormality early warning method, which comprises the following steps:
Carrying out no-load excitation test on the ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test is passed;
And acquiring impedance fluctuation rate and phase difference fluctuation rate in the ultrasonic knife excitation process, carrying out fracture anomaly identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, and carrying out the no-load excitation test on the ultrasonic knife again after the fracture anomaly is identified, so as to continuously execute cutting output after the test is passed, stopping exciting the ultrasonic knife until the number of the identified fracture anomalies exceeds a preset fracture number threshold value, and outputting corresponding anomaly early warning information.
In one embodiment of the present application, an idle excitation test is performed on an ultrasonic blade, comprising:
inputting a preset control current under the no-load state of the ultrasonic knife to excite the ultrasonic knife to run in no-load state;
And acquiring the resonance frequency of the ultrasonic knife in the idle state, and if the resonance frequency meets a preset resonance frequency range, passing the test.
In an embodiment of the present application, obtaining an impedance fluctuation rate and a phase difference fluctuation rate in an ultrasonic blade excitation process, and identifying fracture anomalies of the ultrasonic blade according to the impedance fluctuation rate and the phase difference fluctuation rate, including:
Weighting the impedance fluctuation rate and the phase difference fluctuation rate according to a preset weighting coefficient to obtain a weighting value;
and if the weighted value exceeds a preset threshold value, outputting a fracture abnormality.
In an embodiment of the present application, after the idle excitation test is performed on the ultrasonic blade again, the method further includes:
obtaining the excitation time length from restarting cutting output of the ultrasonic knife to identifying fracture abnormality again;
If the excitation time period of two adjacent times is relatively shortened, the abnormal fracture times are accumulated once.
In an embodiment of the present application, obtaining an excitation period from when the ultrasonic blade restarts cutting output to when a fracture abnormality is again identified further includes:
the excitation time lengths of different preset excitation gears of the ultrasonic knife are respectively obtained, and the preset excitation gears are used for accumulating abnormal times of fracture based on the respective excitation time lengths.
In an embodiment of the present application, after the preset excitation gear accumulates the number of fracture anomalies that are independent of each other based on respective excitation durations, the method further includes:
Comparing the accumulated fracture anomaly times of each excitation gear with respective fracture times thresholds, and outputting anomaly early-warning information of the corresponding excitation gear, wherein the output of the anomaly early-warning information of each excitation gear is mutually independent.
In an embodiment of the present application, each preset excitation gear accumulates the number of fracture anomalies based on the respective excitation time periods, and includes:
generating an abnormal mark when the fracture abnormality is identified each time, cutting off the excitation process, and outputting prompt information to a target terminal;
And accumulating the fracture anomaly times based on the anomaly marks to obtain the fracture anomaly times of the corresponding excitation gear.
An ultrasonic blade fracture anomaly early warning system, comprising:
The test module is used for carrying out no-load excitation test on the ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test passes;
The abnormal early warning module is used for acquiring the impedance fluctuation rate and the phase difference fluctuation rate of the ultrasonic knife in the exciting process, carrying out fracture abnormality identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, carrying out the no-load excitation test on the ultrasonic knife again after the fracture abnormality is identified, continuing to execute cutting output after the test is passed until the number of the identified fracture abnormality exceeds a preset fracture number threshold value, stopping exciting the ultrasonic knife, and outputting corresponding abnormality early warning information.
A computer device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the ultrasonic knife fracture abnormality early warning method when executing the computer program.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the ultrasonic blade fracture anomaly early warning method.
As described above, the ultrasonic knife fracture abnormality early warning method, system, equipment and medium have the following beneficial effects.
The application acquires the impedance fluctuation rate and the phase difference fluctuation rate of the ultrasonic knife in the excitation process, carries out fracture anomaly identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, and carries out the idle excitation test on the ultrasonic knife again after the fracture anomaly is identified so as to continuously execute cutting after the test passes
And cutting and outputting until the number of the identified fracture anomalies exceeds a preset fracture number threshold, stopping exciting the 5 ultrasonic knife, and outputting corresponding anomaly early warning information. According to the application, no-load excitation test is performed after fracture abnormality is identified, and the self-healing characteristic of the ultrasonic knife is considered, so that the normal use of surgical cutting is ensured and the usability of the ultrasonic knife is improved under the condition of excessive excitation.
Drawings
Fig. 1 is a flow chart of an ultrasonic blade fracture abnormality early warning method according to an embodiment of the application.
Fig. 2 is a flow chart of ultrasonic blade fracture anomaly identification by combining impedance and phase difference in an embodiment of the application.
Fig. 3 is a schematic overall flow chart of ultrasonic knife fracture warning in another embodiment of the application.
Fig. 4 is a block diagram of an ultrasonic blade fracture anomaly early warning system according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Fig. 6 is a schematic structural view of an ultrasonic blade system according to an embodiment of the present application.
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. The application can also pass through
Further, various embodiments may be made or used, and details in this specification may be modified or changed from various viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present application by way of illustration, and only the components related to the present application are shown in the drawings rather than the number of components according to actual implementation
The purpose, shape and size of the drawing, the type, number and proportion of each component in the practical implementation thereof can be changed randomly 5, and the layout of the components can be more complex.
The ultrasonic knife fracture abnormality mainly refers to that the ultrasonic knife head works at a non-resonance point for a long time or is improperly operated, so that metal cracks with different irregular depths are generated on the position where transverse vibration stress is concentrated, and the hemostasis effect of the ultrasonic knife cutting is reduced or lost. At present, a method for detecting the fracture of the cutter head in the operation process is mainly adopted in the industry to establish a test database, and then the cutter is identified through feature matching, so that the common detection accuracy of the cutter identification in the operation process is not high due to the fact that the positions of the cutter are different, the cracks are different and the degree is different, and the operation efficiency and the operation safety are affected.
Based on the problems existing in the prior art, the application provides an ultrasonic knife fracture abnormality early warning method and system, and the scheme of the application is explained in detail below with reference to specific embodiments.
Referring to fig. 1, the application provides an ultrasonic knife fracture abnormality early warning method, which comprises the following steps:
step S100, carrying out no-load excitation test on an ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test is passed;
Step S110, obtaining impedance fluctuation rate and phase difference fluctuation rate in the ultrasonic knife excitation process, carrying out fracture anomaly identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, carrying out the no-load excitation test on the ultrasonic knife again after the fracture anomaly is identified, continuing to execute cutting output after the test is passed, stopping exciting the ultrasonic knife until the number of the identified fracture anomalies exceeds a preset fracture number threshold, and outputting corresponding anomaly early warning information.
In step S100, an idle excitation test is performed on the ultrasonic blade, and after the test passes, the ultrasonic blade is excited to perform cutting output.
In one embodiment, the ultrasonic blade may be subjected to an idle excitation test prior to starting the ultrasonic blade for surgery, ensuring that the ultrasonic blade is capable of operating and setting a resonant frequency range.
In one embodiment, an idle excitation test is performed on an ultrasonic blade, comprising:
inputting a preset control current under the no-load state of the ultrasonic knife to excite the ultrasonic knife to run in no-load state;
And acquiring the resonance frequency of the ultrasonic knife in the idle state, and if the resonance frequency meets a preset resonance frequency range, passing the test.
Specifically, when the ultrasonic knife is in an idle state, a control current with a preset magnitude is input to excite the ultrasonic knife, the resonance frequency of the ultrasonic knife in the idle state is locked, and if the ultrasonic knife can reach the set idle resonance frequency or the set resonance frequency range, the ultrasonic knife can be considered to be continuously used, and the test is passed.
In step S110, an impedance fluctuation rate and a phase difference fluctuation rate in the ultrasonic knife excitation process are obtained, the ultrasonic knife is subjected to fracture anomaly identification according to the impedance fluctuation rate and the phase difference fluctuation rate, after fracture anomalies are identified, the no-load excitation test is performed on the ultrasonic knife again, so that cutting output is continuously performed after the test is passed, and when the identified fracture anomaly times exceed a preset fracture times threshold value, the ultrasonic knife is stopped being excited, and corresponding anomaly early warning information is output.
In an embodiment, obtaining an impedance fluctuation rate and a phase difference fluctuation rate in an ultrasonic knife excitation process, and identifying fracture abnormality of the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, including:
Weighting the impedance fluctuation rate and the phase difference fluctuation rate according to a preset weighting coefficient to obtain a weighting value;
and if the weighted value exceeds a preset threshold value, outputting a fracture abnormality.
In an embodiment, it is also disclosed in the prior art (CN 112754604B) that a voltage sampling conversion module is connected to the programmable logic module, an output end of the power amplification circuit is connected to the current sampling conversion module, the current sampling conversion module is connected to the programmable logic module, and the programmable logic module is connected to the digital signal processor. A voltage and current acquisition module can be constructed through a programmable gate array FPGA (Field Programmable GATE ARRAY), and a voltage A/D sampling value and a current A/D sampling value of a driving output end in an ultrasonic knife host driving circuit are acquired based on the voltage and current acquisition module. Because the voltage A/D sampling value is the voltage obtained by voltage division and is not the actually needed measured voltage value, the output voltage of the ultrasonic knife driving host is obtained by multiplying the voltage A/D sampling value by the reference voltage value, and the output current of the ultrasonic knife driving host is obtained by multiplying the current A/D sampling value by the reference current value. The specific reference voltage value and the reference current value may be determined according to hardware design parameters of a driving circuit of the ultrasonic blade driving host, which is not limited herein. After the output voltage and the output current are obtained, the phase difference between the output voltage and the output current can be calculated.
In one embodiment, the phase difference fluctuation rate is used to characterize the degree of instantaneous phase difference off-center during excitation of the ultrasonic blade. The phase differences of the different time nodes calculated in the previous step can be sampled through a sliding window. In particular, the phase difference fluctuation rate can be obtained by adopting three-point dynamic sliding window data acquisitionFluctuation ratioWhere Yi is the current sampling point data in the sliding window, Z is the data average in the sliding window, sum is the Sum, and Sqrt is the square root. Taking three sampling points as an example, the specific sampling point number can be adjusted according to the actual sampling requirement, and the sampling point number in the sliding window can be set as [2,5] in an exemplary manner. In practice, if the value of the point is too small, the false judgment rate of the data is improved, and if the value is too large, the effectiveness of the data judged by fluctuation is reduced. Therefore, reasonable value can ensure the effectiveness of subsequent data calculation. Taking three-point data sliding window sampling as an example, the sampled data is denoted as A0{ A1, A2, a3}, A1{ A2, a3, a4}, A2{ a3, a4, a5}, and represents sliding window data of three consecutive sampling periods, and it should be noted that the phase difference fluctuation rate calculation start data point needs to be from the third point (for example, five-point sampling needs to be from the fifth point). And obtaining the offset of the phase difference from the center point of the sliding window by calculating the variance of the sampling data in each group of sliding windows, namely the phase difference fluctuation rate of the corresponding sliding window. Thus, a plurality of phase difference fluctuation rates can be obtained by continuous sampling.
In one embodiment, the phase difference fluctuation ratio obtained in the previous step can be usedWith a preset phase difference fluctuation rate threshold valueComparing, when the phase difference fluctuation rate is smaller than the phase difference fluctuation rate threshold value, continuously calculating the fluctuation rate average valueThe average value of the phase difference fluctuation is the average value of the accumulated phase difference fluctuation rate before the triggering of the phase difference fluctuation rate threshold value, and can be expressed as:
Ultrasonic knife fracture anomaly identification can be performed by combining impedance fluctuation rate on the basis of phase difference fluctuation rate. And calculating the impedance value of the ultrasonic knife according to the output voltage and the output current obtained in the previous steps. Ultrasonic knife impedance value Ω=uo/IO, where UO is driving output voltage=ultrasonic knife host driving output voltage a/D sampling value×reference voltage value Uref, and IO is driving output current=ultrasonic knife host driving output current a/D sampling value×reference current value Iref. The specific reference voltage value and the reference current value may be determined according to hardware design parameters of a driving circuit of the ultrasonic blade driving host, which is not limited herein.
Because the driving frequency and the resonance point of the ultrasonic knife transducer for clamping tissues have a large difference when the ultrasonic knife is just excited, the impedance of the ultrasonic knife can be large at the moment, and sampling calculation is required to be started after the impedance value of the ultrasonic knife is reduced to a certain range, so that the accuracy of data in the follow-up calculation process can be effectively ensured. The sampling start threshold value of the ultrasonic knife excited to work in a steady state can be preset, and the impedance meeting the sampling start threshold value can be used for subsequent sampling calculation.
In one embodiment, the ultrasonic blade impedance value for the corresponding time node may be derived based on the ratio of the output voltage to the output current. The impedance mean value is obtained by carrying out accumulation and averaging on the impedance values of the ultrasonic knife at each time node. The impedance mean may be expressed as ωa=sum [ Ω 1+ ] +Ω n/n.
Referring to fig. 2, a flow chart of ultrasonic blade fracture anomaly identification by combining impedance and phase difference in an embodiment of the application is shown. By setting the impedance threshold Z0, if the impedance Zi of the ultrasonic knife is less than Z0, the ultrasonic knife is considered to work in a steady state, and the impedance value of the ultrasonic knife can be sampled.
In one embodiment, an impedance threshold Za may be set, by which the phase difference fluctuation ratio weighting coefficient and the impedance fluctuation ratio weighting coefficient are determined. The mapping relation between the impedance value and the weighting coefficient can be established in advance, one set of weighting coefficient is adopted when the impedance value of the ultrasonic knife is larger than Za, and the other set of weighting coefficient is adopted when the impedance value of the ultrasonic knife is smaller than Za, so that the accuracy of identifying the fracture abnormality of the ultrasonic knife under different impedance conditions is ensured.
In one embodiment, the impedance fluctuation σ characterizes the extent to which the instantaneous impedance is off-center during excitation of the ultrasonic blade. The method adopts three-point dynamic sliding window data acquisition to obtain the impedance fluctuation rate, wherein the fluctuation rate sigma=Sqrt [ Sum [ (Yi-Z) 2]/3], wherein Yi is the current sampling point data in the sliding window, Z is the data average value in the sliding window, sum is summation, and Sqrt is square root. It should be noted that the number of sampling points of the dynamic sliding window is not limited to three points, and can be properly adjusted according to the actual sampling period, the adjustment range is [2,5], in practice, if the number of points is too small, the false judgment rate of data is improved, and if the number of points is too large, the effectiveness of the data of fluctuation judgment is reduced. Examples of three-point data sliding window sampling include A0{ A1, A2, a3}, A1{ A2, a3, a4}, A2{ a3, a4, a5}, which represent sliding window data for three consecutive sampling periods, it should be noted that the impedance fluctuation rate calculation starting data point must be from the third point (e.g., five-point sampling must be from the fifth point).
In one embodiment, the impedance fluctuation mean σa is the mean of the cumulative fluctuation before the impedance fluctuation threshold is triggered, i.e., σa=sum [ σ1+ ] +σn ]/n. The impedance mean value Ω a is the mean value of the cumulative impedance values before the impedance fluctuation ratio threshold is triggered, i.e., Ω=sum [ Ω 1+ ] +Ω n/n.
In one embodiment, when the impedance fluctuation ratio σ is smaller than the impedance fluctuation ratio threshold σ0, the impedance fluctuation ratio mean σa and the impedance mean Ω are continuously calculated. When the impedance fluctuation ratio σ is greater than the impedance fluctuation ratio threshold σ0, the abnormal value S1 is configured to be 1 if the fluctuation ratio average σa > =the preset impedance fluctuation ratio average threshold σ1 and the impedance average Ω > =the preset impedance average threshold Ω 1 are determined. Likewise, when the ultrasonic blade is abnormal as determined by the phase difference fluctuation rate average and the impedance average, the abnormal value S2 is configured to be 1. And weighting the S1 and the S2 in abnormal conditions according to the weighting coefficients determined in the previous steps to obtain a weighting value, and carrying out ultrasonic knife fracture identification based on the weighting value.
In an embodiment, according to different influence weights of impedance fluctuation rate and phase difference fluctuation rate at different stages in the excitation process on the cutter breakage identification, when the impedance Zi < Za, the second impedance fluctuation rate weighting coefficient PZ=yz2, the phase difference fluctuation rate weighting coefficient PP=yp2, and when the impedance Zi > =za, the impedance fluctuation rate weighting coefficient PZ=yz1 and the phase difference fluctuation rate weighting coefficient PP=yp1. Wherein yz1+yp1=1, yz2+yp2=1, yz1> = (m×yz2), yp2> = (n×yp1), M, N e [2,5]. Determination threshold St E
[(1-(1/(1+max(M,N)))),1]。
And comparing the weighted value with a judgment threshold St, if the weighted value is greater than or equal to St, calibrating the ultrasonic cutter to break abnormally, otherwise, calibrating the ultrasonic cutter to bear overweight.
After the ultrasonic knife fracture abnormality is identified based on the steps, if the ultrasonic knife fracture abnormality is identified, a warning sign F1 for early warning judgment can be generated, the excitation process of the ultrasonic knife is cut off, the ultrasonic knife head abnormality is output, and no-load excitation test is required to be carried out again.
In one embodiment, after the idle excitation test is performed on the ultrasonic blade again, the method further comprises:
obtaining the excitation time length from restarting cutting output of the ultrasonic knife to identifying fracture abnormality again;
If the excitation time period of two adjacent times is relatively shortened, the abnormal fracture times are accumulated once.
Specifically, after the no-load excitation test is conducted again, if the test is not passed, a cutter head fracture mark Fb is generated, if the test is passed, the ultrasonic cutter is excited again to conduct cutting output, and the time length from the start of exciting the ultrasonic cutter to the next identification of the ultrasonic cutter fracture abnormality is calculated as the excitation time length.
In an embodiment, the method comprises the steps of obtaining the excitation time length from restarting cutting output of the ultrasonic knife to the fact that fracture abnormality is identified again, and further comprises the steps of obtaining the excitation time lengths of different preset excitation gears of the ultrasonic knife respectively, wherein the preset excitation gears are based on the respective excitation time lengths and are independent to each other, and the number of times of fracture abnormality is accumulated.
Specifically, as the ultrasonic knife system adopts constant current control output, different excitation gears of the ultrasonic knife can be set based on the difference of the excitation current, and each excitation gear corresponds to one excitation current or corresponds to the excitation current with a certain range of sizes. For example, the ultrasonic blade firing gear may be assumed to include 5 gears P1-P5 altogether, with the firing time period calculated separately for each gear. If a fracture anomaly is again identified for each of the five excitation gears, the corresponding excitation duration may be denoted as T1_1-T5_1. After the fracture abnormality is identified, the excitation process is cut off again to prompt the abnormality of the cutter head, and the cutter head needs to pass the no-load excitation test again.
When the no-load excitation test is carried out again, if the no-load excitation test does not pass, an ultrasonic knife fracture mark Fb is generated; if the test passes, the excitation time lengths of different excitation gears are calculated again to obtain T1_2-T5_2. T1_2< = t1_1, bit break flag Fb is generated, similarly, t2_2< = t2_1, bit break flag Fb is generated, t3_2< = t3_1, bit break flag Fb is generated, t4_2< = t4_1, bit break flag Fb is generated, t5_2< = t5_1, bit break flag Fb is generated. The comparison process of the excitation time length between the excitation gears is independent and does not interfere with each other. The accumulation of the number of fracture abnormality may be performed once after each receipt of the fracture flag Fb.
In an embodiment, after the preset excitation gear accumulates the fracture anomaly times based on the respective excitation time periods, the method further comprises the steps of comparing the fracture anomaly times accumulated by each excitation gear with respective fracture time thresholds respectively and outputting anomaly early-warning information of the corresponding excitation gear, wherein the output of the anomaly early-warning information of each excitation gear is mutually independent.
In one embodiment, the ultrasonic blade, if a blade tip fracture occurs during surgical excitation, typically presents internal cracks of different lengths at the molecular level, functionally presenting a resonance point off-design presenting no cutting effect or reduced cutting efficiency. Meanwhile, when the excitation power output is low and the fracture crack is short, the fracture cutter head has the characteristic of self-healing, namely, the cutter head becomes uniform under the condition of not excessively exciting, and the optimal tuning system is consistent with the design. Based on the self-healing characteristic of the ultrasonic knife, different breaking times thresholds can be set for different excitation gears, and for example, the breaking times corresponding to 5 gears are respectively N1-N5, and then the values of N1, N2, N3, N4 and N5 can be set to be 5,4,3,2 and 1. The specific value may be set according to the actual application requirement, which is not limited herein.
In one embodiment, when the number of abnormal breaks of the corresponding excitation gear is identified to exceed the corresponding threshold number of breaks, the current of the corresponding excitation gear is no longer input to the ultrasonic blade system. Each excitation gear is mutually independent to judge, even if one or more excitation gears are forcedly forbidden to operate, the rest excitation gears can be normally used, and the usability of the ultrasonic knife in the operation process is ensured.
In one embodiment. Each preset excitation gear is based on the accumulation of fracture anomaly times of independent excitation time length, and comprises the following steps:
generating an abnormal mark when the fracture abnormality is identified each time, cutting off the excitation process, and outputting prompt information to a target terminal;
And accumulating the fracture anomaly times based on the anomaly marks to obtain the fracture anomaly times of the corresponding excitation gear.
Each time a fracture abnormality is identified, an abnormality flag such as F1 and Fb described above may be generated, the number of times is accumulated with F1 as the starting count point, and the number of fracture abnormalities is increased by 1 without generating Fb once, thereby obtaining an accumulated result. The target terminal may be any terminal having a display function such as a display screen, a tablet, a computer, etc.
In an embodiment, referring to fig. 3, fig. 3 is an overall flow chart of ultrasonic knife fracture warning according to another embodiment of the present application. After the cutting excitation process detects the cutter breaking abnormality, an early warning judgment start mark F1 is generated, the excitation process is cut off, the cutter head abnormality is prompted, and the cutter head abnormality needs to pass through the test process again.
After the F1 mark is obtained, if the test process is not passed, a cutter head fracture mark Fb is generated, and if the test process is passed, the cutter head fracture early warning excitation time is started to be accumulated until the cutter head fracture early warning excitation time is triggered again (the excitation gears are accumulated separately (T1-T5_1)). Generating an early warning advanced mark F2. Cutting off the excitation process, prompting the abnormal cutter head, and passing the test process again.
If the test process passes, starting to accumulate to trigger the cutter head fracture early warning excitation time T1_2-T5_2 again, judging that the cutter head fracture Fb is generated if the excitation time is smaller than or equal to the excitation time accumulated in the last cycle, namely T1_2< = T1_1, generating the cutter head fracture flag Fb, and similarly, generating the cutter head fracture flag Fb, T3_2< = T3_1, generating the cutter head fracture flag Fb, T4_2< = T4_1, generating the cutter head fracture flag Fb, T5_2< = T5_1, and generating the cutter head fracture flag Fb. If the excitation time is smaller than or equal to the excitation time accumulated in the last cycle, the accumulated early warning times Na are recycled, judgment is carried out according to the threshold values N1-N5 of the preset early warning times of each gear, if the preset early warning times exceed the threshold values, the cutter head fracture marks Fb are generated (namely Na > =6-Nx, nx is the current excitation gear and is one of N1-N5), and otherwise, recycling is carried out again. According to the breaking crack characteristics, the values of N1, N2, N3, N4 and N5 are usually set to be 5,4,3,2 and 1. The early warning times are accumulated after the F1 mark is acquired from the host computer.
Based on the technical scheme, the fracture anomaly identification mainly identifies the fracture anomaly of the cutter head in the operation excitation process, but the cutter head still has a cutting effect when the cutter head outputs low excitation power according to different fracture degrees. In order to ensure the operation safety and the operation efficiency, the fracture degree of the cutter head needs to be further pre-warned, and the cutter head is forcedly forbidden to be replaced after reaching a certain degree. The technical scheme of the application fully considers the self-healing characteristic degree of the ultrasonic knife to perform early warning, and can ensure the usability of the ultrasonic knife to the greatest extent.
Referring to fig. 4, the present embodiment provides an ultrasonic blade fracture anomaly early warning system for executing the ultrasonic blade fracture anomaly early warning method described in the foregoing method embodiment. Since the technical principle of the system embodiment is similar to that of the foregoing method embodiment, the same technical details will not be repeated.
In one embodiment, the ultrasonic knife fracture abnormality pre-warning system comprises a test module 10 and an abnormality pre-warning module 11, wherein the test module 10 is used for carrying out no-load excitation test on an ultrasonic knife, exciting the ultrasonic knife to carry out cutting output after the test passes, and the abnormality pre-warning module 11 is used for acquiring impedance fluctuation rate and phase difference fluctuation rate in the ultrasonic knife excitation process, carrying out fracture abnormality recognition on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, carrying out no-load excitation test on the ultrasonic knife again after the fracture abnormality is recognized, so as to continuously carry out cutting output after the test passes until the number of recognized fracture abnormality exceeds a preset fracture number threshold value, stopping exciting the ultrasonic knife, and outputting corresponding abnormality pre-warning information.
Embodiments of the present application also provide an ultrasonic blade fracture anomaly early warning apparatus that may include one or more processors and one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method described in fig. 1. In practical applications, the device may be used as a terminal device, or may be used as a server, and examples of the terminal device may include an ultrasonic blade host, a smart phone, a tablet computer, an electronic book reader, an MP3 (dynamic image expert compression standard voice layer 3,Moving Picture Experts Group Audio Layer III) player, an MP4 (dynamic image expert compression standard voice layer 4,Moving Picture Experts Group Audio Layer IV) player, a laptop, a vehicle-mounted computer, a desktop computer, a set-top box, a smart television, a wearable device, and the like.
The embodiment of the application also provides a computer readable storage medium, in which one or more modules (programs) are stored, and when the one or more modules are applied to a device, the device can execute instructions (instructions) of steps included in the ultrasonic blade fracture abnormality early warning method in fig. 1 in the embodiment of the application. A machine-readable medium may be any available medium that can be stored by a computer or a data storage device including one or more servers, data centers, etc. integrated with the available medium. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk Solid STATE DISK (SSD)), etc.
Referring to fig. 5, the present embodiment provides a device 80, where the device 80 may be a desktop, a portable computer, a smart phone, or the like. In detail, the device 80 comprises at least a memory 82 and a processor 83 connected via a bus 81, wherein the memory 82 is used for storing a computer program, and the processor 83 is used for executing the computer program stored in the memory 82 to perform all or part of the steps in the foregoing method embodiments.
The system bus mentioned above may be a peripheral component interconnect standard (PERIPHERAL POMPONENT INTERCONNECT, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The system bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used to enable communication between the database access apparatus and other devices (e.g., clients, read-write libraries, and read-only libraries). The memory may include random access memory (Random Access Memory, RAM) and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor may be a general-purpose processor, including a central Processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a digital signal processor (DIGITAL SIGNAL Processing, DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an ultrasonic blade system according to an embodiment of the application. The ultrasonic knife system comprises an ultrasonic knife host machine 1, an ultrasonic knife host machine output signal interface 2, an in-transducer control chip and a circuit 3, an ultrasonic knife head 4, an ultrasonic knife bar 5, a knife tip 6 and a transducer 7. The ultrasonic knife host 1 is used for providing ultrasonic signals required by the transducer 7, the ultrasonic knife bar 5 is used for providing energy transmission, the transducer 7 converts electric energy into mechanical energy, and high-speed vibration is generated at the knife tip 6 position through the ultrasonic knife head 4, so that surgical cutting is realized.
The above embodiments are merely illustrative of the principles of the present application and its effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all equivalent modifications and variations of the application be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (9)
1. The ultrasonic knife fracture abnormality early warning method is characterized by comprising the following steps of:
Carrying out no-load excitation test on the ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test is passed;
the method comprises the steps of obtaining impedance fluctuation rate and phase difference fluctuation rate in the exciting process of an ultrasonic knife, carrying out fracture anomaly identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, carrying out idle excitation test on the ultrasonic knife again after fracture anomalies are identified, continuing to execute cutting output after the test is passed until the number of identified fracture anomalies exceeds a preset fracture number threshold value, stopping exciting the ultrasonic knife, outputting corresponding anomaly early warning information, carrying out idle excitation test on the ultrasonic knife again, and further comprising the steps of obtaining excitation time length from restarting cutting output of the ultrasonic knife to the fact that fracture anomalies are identified again, and accumulating the number of fracture anomalies once if the adjacent excitation time length is shortened relatively.
2. The ultrasonic blade fracture anomaly pre-warning method according to claim 1, wherein the ultrasonic blade is subjected to an idle excitation test, comprising:
inputting a preset control current under the no-load state of the ultrasonic knife to excite the ultrasonic knife to run in no-load state;
And acquiring the resonance frequency of the ultrasonic knife in the idle state, and if the resonance frequency meets a preset resonance frequency range, passing the test.
3. The ultrasonic blade fracture anomaly early warning method according to claim 1, wherein obtaining an impedance fluctuation rate and a phase difference fluctuation rate in an ultrasonic blade excitation process, and identifying the fracture anomaly of the ultrasonic blade according to the impedance fluctuation rate and the phase difference fluctuation rate comprises:
Weighting the impedance fluctuation rate and the phase difference fluctuation rate according to a preset weighting coefficient to obtain a weighting value;
and if the weighted value exceeds a preset threshold value, outputting a fracture abnormality.
4. The ultrasonic blade fracture anomaly early warning method of claim 1, wherein obtaining the excitation duration of the ultrasonic blade restart cutting output to the fracture anomaly again identified, further comprises:
the excitation time lengths of different preset excitation gears of the ultrasonic knife are respectively obtained, and the preset excitation gears are used for accumulating abnormal times of fracture based on the respective excitation time lengths.
5. The ultrasonic blade fracture anomaly early warning method according to claim 4, wherein after the preset excitation gear accumulates the number of fracture anomalies independently based on the respective excitation time periods, further comprising:
Comparing the accumulated fracture anomaly times of each excitation gear with respective fracture times thresholds, and outputting anomaly early-warning information of the corresponding excitation gear, wherein the output of the anomaly early-warning information of each excitation gear is mutually independent.
6. The ultrasonic blade fracture anomaly early warning method according to claim 4, wherein each preset excitation gear accumulates fracture anomaly times based on respective excitation durations independently of each other, comprising:
generating an abnormal mark when the fracture abnormality is identified each time, cutting off the excitation process, and outputting prompt information to a target terminal;
And accumulating the fracture anomaly times based on the anomaly marks to obtain the fracture anomaly times of the corresponding excitation gear.
7. An ultrasonic blade fracture anomaly early warning system using the ultrasonic blade fracture anomaly early warning method of any one of claims 1 to 6, characterized by comprising:
The test module is used for carrying out no-load excitation test on the ultrasonic knife, and exciting the ultrasonic knife to carry out cutting output after the test passes;
The abnormal early warning module is used for acquiring the impedance fluctuation rate and the phase difference fluctuation rate of the ultrasonic knife in the exciting process, carrying out fracture abnormality identification on the ultrasonic knife according to the impedance fluctuation rate and the phase difference fluctuation rate, carrying out the no-load excitation test on the ultrasonic knife again after the fracture abnormality is identified, continuing to execute cutting output after the test is passed until the number of the identified fracture abnormality exceeds a preset fracture number threshold value, stopping exciting the ultrasonic knife, and outputting corresponding abnormality early warning information.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the ultrasonic blade fracture anomaly pre-warning method of any one of claims 1 to 6 when the computer program is executed.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the ultrasonic blade breakage abnormality warning method according to any one of claims 1 to 6.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111526821A (en) * | 2017-12-28 | 2020-08-11 | 爱惜康有限责任公司 | Determining a state of an ultrasonic end effector |
| CN114098908A (en) * | 2020-08-28 | 2022-03-01 | 深圳开立生物医疗科技股份有限公司 | Ultrasonic knife system, fault detection method and device thereof, and host |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20020049551A1 (en) * | 2000-10-20 | 2002-04-25 | Ethicon Endo-Surgery, Inc. | Method for differentiating between burdened and cracked ultrasonically tuned blades |
| JP7480044B2 (en) * | 2018-03-08 | 2024-05-09 | エシコン エルエルシー | State estimation of ultrasonic end effector and its control system |
| CN216495515U (en) * | 2021-09-23 | 2022-05-13 | 北京派尔特医疗科技股份有限公司 | Control system for preventing ultrasonic knife from breaking |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111526821A (en) * | 2017-12-28 | 2020-08-11 | 爱惜康有限责任公司 | Determining a state of an ultrasonic end effector |
| CN114098908A (en) * | 2020-08-28 | 2022-03-01 | 深圳开立生物医疗科技股份有限公司 | Ultrasonic knife system, fault detection method and device thereof, and host |
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