CN114098908B - Ultrasonic knife system and fault detection method, device and host thereof - Google Patents
Ultrasonic knife system and fault detection method, device and host thereof Download PDFInfo
- Publication number
- CN114098908B CN114098908B CN202010886433.7A CN202010886433A CN114098908B CN 114098908 B CN114098908 B CN 114098908B CN 202010886433 A CN202010886433 A CN 202010886433A CN 114098908 B CN114098908 B CN 114098908B
- Authority
- CN
- China
- Prior art keywords
- transducer
- normal value
- value interval
- interval
- ultrasonic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 72
- 238000000034 method Methods 0.000 claims abstract description 40
- 238000012360 testing method Methods 0.000 claims description 52
- 230000005284 excitation Effects 0.000 claims description 13
- 238000003745 diagnosis Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 description 16
- 238000005070 sampling Methods 0.000 description 7
- 238000012423 maintenance Methods 0.000 description 5
- 230000006378 damage Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 239000000919 ceramic Substances 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 206010051814 Eschar Diseases 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 239000012636 effector Substances 0.000 description 2
- 231100000333 eschar Toxicity 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 230000003685 thermal hair damage Effects 0.000 description 2
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000023597 hemostasis Effects 0.000 description 1
- 238000012978 minimally invasive surgical procedure Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
- A61B17/32—Surgical cutting instruments
- A61B17/320068—Surgical cutting instruments using mechanical vibrations, e.g. ultrasonic
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0266—Operational features for monitoring or limiting apparatus function
- A61B2560/0276—Determining malfunction
Landscapes
- Health & Medical Sciences (AREA)
- Surgery (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Mechanical Engineering (AREA)
- Biomedical Technology (AREA)
- Dentistry (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
- Surgical Instruments (AREA)
Abstract
The application discloses an ultrasonic knife system and a fault detection method, a fault detection device and a host thereof, wherein the method comprises the following steps: determining whether the resonant frequency of the transducer in a state of being connected with the ultrasonic knife is positioned in a first normal value interval; if yes, judging that the ultrasonic knife system is normal; if not, determining whether the resonant frequency is in the second normal value interval; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic knife; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval; if the resonant frequency is in the second normal value interval, judging that the transducer is normal but the ultrasonic knife is in fault; and if the resonant frequency is outside the second normal value interval, judging that the transducer is in fault. The system fault detection method and the system can effectively identify the system fault, can directly position the specific part with the fault, are convenient to replace or maintain, and improve the fault treatment efficiency.
Description
Technical Field
The application relates to the technical field of ultrasonic cutters, in particular to an ultrasonic cutter system, a fault detection method, a fault detection device and a host machine thereof.
Background
Ultrasonic blades have important applications in the medical field, particularly in minimally invasive surgical procedures. Compared with a radio frequency electrotome, the ultrasonic electrotome has small thermal damage to surrounding tissues and generates no smoke, no current passes through a human body in the working process, and the tissue eschar is small, so that the damage to a patient is small. Therefore, ultrasonic blades are increasingly used in surgical operations, and are commonly used for endoscopic minimally invasive and open operations.
However, in the use process of the ultrasonic knife system, due to the reasons of vibration fatigue and the like caused by external force, temperature and long use time, the transducer or the ultrasonic knife in the ultrasonic knife system is easy to fail or even damage, so that the ultrasonic knife system cannot work normally. Therefore, it is important and necessary to realize accurate and rapid detection of failure problems so as to prompt the user to perform component replacement and maintenance in time.
In view of this, it has been a great need for a person skilled in the art to provide a solution to the above-mentioned technical problems.
Disclosure of Invention
The purpose of the application is to provide an ultrasonic knife system, and a fault detection method, a fault detection device and a fault detection host machine thereof, so that the detection efficiency and the result accuracy of the fault problem of the ultrasonic knife system are effectively improved, and the safe use of the ultrasonic knife system is ensured.
In order to solve the above technical problems, in a first aspect, the present application discloses a fault detection method of an ultrasonic blade system, including:
determining whether the resonant frequency of the transducer in a state of being connected with the ultrasonic knife is positioned in a first normal value interval;
if yes, judging that the ultrasonic knife system is normal;
if not, determining whether the resonant frequency is in a second normal value interval; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic blade; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval;
if the resonant frequency is in the second normal value interval, judging that the transducer is normal but the ultrasonic knife is in fault;
and if the resonant frequency is outside the second normal value interval, judging that the transducer fails.
Optionally, the determining whether the resonant frequency of the transducer in the state of being connected with the ultrasonic blade is located in the first normal value interval includes:
carrying out sweep frequency test on the transducer connected with the ultrasonic knife in a frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer;
judging whether a frequency point of a first interval maximum value of the real part of the admittance of the circuit is an endpoint of the first normal value interval or not;
if not, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is positioned in a first normal value interval;
if yes, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside a first normal value interval.
Optionally, the determining whether the resonant frequency is in the second normal value interval includes:
carrying out sweep frequency test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer;
judging whether a frequency point of a second interval maximum value of the real part of the admittance of the circuit is an endpoint of the second normal value interval;
if not, determining that the resonant frequency is located in a second normal value interval;
if yes, determining that the resonant frequency is located outside a second normal value interval.
Optionally, the fault detection method further includes:
obtaining resonance frequencies of a plurality of transducers of the same type in a state of being connected with the ultrasonic knife so as to form first sample test data;
determining the first normal value interval by taking the mean value of the first sample test data as an interval center and taking the standard deviation of the first sample test data as a fluctuation range;
and/or the number of the groups of groups,
obtaining resonance frequencies of a plurality of transducers of the same type in a state of being not connected with the ultrasonic knife so as to form second sample test data;
and determining the second normal value interval by taking the mean value of the second sample test data as an interval center and taking the standard deviation of the second sample test data as a fluctuation range.
Optionally, the fault detection method further includes:
and when judging that the ultrasonic knife or the transducer in the ultrasonic knife system fails, sending out a fault alarm corresponding to the failed component.
In a second aspect, the present application further discloses a fault detection device of an ultrasonic blade system, including:
the first judging module is used for determining whether the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is positioned in a first normal value interval;
the second judging module is used for determining whether the resonant frequency is located in a second normal value interval or not; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic blade; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval;
the result diagnosis module is used for judging that the ultrasonic knife system is normal when the first judgment module determines that the resonant frequency is positioned in the first normal value interval; when the first judging module determines that the resonant frequency is located outside the first normal value interval and the second judging module determines that the resonant frequency is located inside the second normal value interval, judging that the transducer is normal but the ultrasonic knife is faulty; and when the first judging module determines that the resonant frequency is located outside the first normal value interval and the second judging module determines that the resonant frequency is located outside the second normal value interval, judging that the transducer is faulty.
Optionally, the first judging module specifically includes:
the first frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point so as to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer;
the first determining unit is used for judging whether the frequency point of the maximum value of the first interval of the real part of the admittance of the circuit is the endpoint of the first normal value interval; if yes, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located in a first normal value interval; if not, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside the first normal value interval.
Optionally, the second judging module specifically includes:
the second frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point so as to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer;
the second determining unit is used for judging whether the frequency point of the maximum value of the second interval of the real part of the admittance of the circuit is the endpoint of the second normal value interval; if yes, determining that the resonant frequency is located in a second normal value interval; if not, determining that the resonant frequency is located outside the second normal value interval.
Optionally, the fault detection device further includes:
the first sampling module is used for obtaining resonant frequencies of a plurality of transducers of the same type in a state of being connected with the ultrasonic knife so as to form first sample test data; determining the first normal value interval by taking the mean value of the first sample test data as an interval center and taking the standard deviation of the first sample test data as a fluctuation range;
and/or the number of the groups of groups,
the second sampling module is used for obtaining the resonant frequencies of a plurality of transducers of the same type in a state of being not connected with the ultrasonic knife so as to form second sample test data; and determining the second normal value interval by taking the mean value of the second sample test data as an interval center and taking the standard deviation of the second sample test data as a fluctuation range.
Optionally, the fault detection device further includes:
and the fault alarming module is used for sending out fault alarming corresponding to the fault component when judging that the ultrasonic knife or the transducer in the ultrasonic knife system fails.
In a third aspect, the present application also discloses a mainframe of an ultrasonic blade system, comprising:
a processor electrically connected to the transducer; the method comprises the steps of,
a memory communicatively coupled to the processor, the memory storing instructions executable by the processor, the instructions when executed for implementing any of the fault detection methods described above.
In a fourth aspect, the present application also discloses an ultrasonic blade system comprising:
an ultrasonic knife;
a transducer connected with the ultrasonic blade for converting the received ultrasonic excitation signal into ultrasonic vibration and transmitting the ultrasonic vibration to the ultrasonic blade; the method comprises the steps of,
a host as described above electrically connected to the transducer for providing the ultrasonic excitation signal to the transducer.
The ultrasonic knife system and the fault detection method, the fault detection device and the host machine have the beneficial effects that: according to the method, the system fault can be effectively identified by comparing the resonance frequency actually measured by the transducer under the state of being connected with the ultrasonic knife with the first normal value interval of the resonance frequency during normal operation after the transducer is connected with the ultrasonic knife and the second normal value interval of the resonance frequency of the transducer, and the specific part which is faulty can be directly positioned under the condition that the transducer and the ultrasonic knife are not required to be disassembled, so that the replacement or maintenance of the part is facilitated, and the fault treatment efficiency is improved.
Drawings
In order to more clearly illustrate the prior art and the technical solutions in the embodiments of the present application, the following will briefly describe the drawings that need to be used in the description of the prior art and the embodiments of the present application. Of course, the following figures related to the embodiments of the present application are only some of the embodiments of the present application, and it is obvious to those skilled in the art that other figures can be obtained from the provided figures without any inventive effort, and the obtained other figures also belong to the protection scope of the present application.
FIG. 1 is a flow chart of a method of fault detection for an ultrasonic blade system disclosed in an embodiment of the present application;
FIG. 2 is a flowchart of a method for determining whether a resonant frequency is in a first normal value interval based on a sweep test according to an embodiment of the present disclosure;
FIG. 3 is an equivalent circuit diagram of a transducer disclosed in an embodiment of the present application;
FIG. 4 is a graph of resonance curves of a transducer according to an embodiment of the present disclosure;
FIG. 5 is a flowchart of a method for determining whether a resonant frequency is in a second normal value interval based on a sweep test according to an embodiment of the present disclosure;
FIG. 6 is a block diagram illustrating a fault detection device of an ultrasonic blade system according to an embodiment of the present disclosure;
fig. 7 is a block diagram of an ultrasonic blade system according to an embodiment of the present application.
Detailed Description
The core of the application is to provide an ultrasonic knife system, and a fault detection method, a fault detection device and a fault detection host thereof, so that the detection efficiency and the result accuracy of the fault problem of the ultrasonic knife system are effectively improved, and the safe use of the ultrasonic knife system is ensured.
In order to more clearly and completely describe the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Ultrasonic blade systems are an important application of ultrasound in the medical field. The main machine of the system adopts proper working frequency to excite the transducer, so that the transducer works near the resonant frequency, the energy conversion efficiency of the transducer is improved, the maximum conversion from electric energy to mechanical energy is realized, and the ultrasonic knife connected with the transducer is driven to perform high-frequency motion to implement operation.
Compared with a radio frequency electrotome, the ultrasonic electrotome has small thermal damage to surrounding tissues and generates no smoke, no current passes through a human body in the working process, and the tissue eschar is small, so that the damage to a patient is small. Therefore, ultrasonic blades are increasingly used in surgical operations, and are commonly used for endoscopic minimally invasive and open operations.
However, in the use process of the ultrasonic knife system, due to the reasons of vibration fatigue and the like caused by external force, temperature and long use time, the transducer or the ultrasonic knife in the ultrasonic knife system is easy to fail or even damage, so that the ultrasonic knife system cannot work normally. Therefore, it is important and necessary to realize accurate and rapid detection of failure problems so as to prompt the user to perform component replacement and maintenance in time. In view of the above, the present application provides a fault detection scheme for an ultrasonic blade system, which can effectively solve the above-mentioned problems.
Referring to fig. 1, an embodiment of the present application discloses a fault detection method of an ultrasonic blade system, which mainly includes:
s101: determining whether the resonant frequency of the transducer in a state of being connected with the ultrasonic knife is positioned in a first normal value interval; if yes, enter S102; if not, the process advances to S103.
Firstly, it should be noted that, in the actual use process of the ultrasonic knife system, the transducer needs to drive the ultrasonic knife to vibrate together. The present application thus diagnoses faults in particular by range detection of the actual resonant frequency of the transducer after connection to the ultrasonic blade. It is easy to understand that the resonant frequency of the ultrasonic knife system with normal function and no fault after the transducer is connected with the ultrasonic knife should be in the normal value range, i.e. the first normal value interval, otherwise, the fault is indicated.
S102: and judging that the ultrasonic knife system is normal.
S103: determining whether the resonant frequency is within a second normal value interval; if yes, go to S104; if not, the process proceeds to S105.
The second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic knife; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval.
It is emphasized that the resonant frequency of the transducer itself is different from the resonant frequency after connection to the ultrasonic blade. According to related theory and experimental results, compared with the resonance frequency of the transducer when the ultrasonic knife is not connected, the resonance frequency of the transducer after the ultrasonic knife is connected with the transducer is relatively larger, and the frequency difference can even reach several kHz. Therefore, the right end point of the second normal value interval in the present application is smaller than the left end point of the first normal value interval. That is, the maximum value of the second normal value interval is smaller than the minimum value of the first normal value interval.
Specifically, after the resonant frequency of the transducer in the state of being connected with the ultrasonic blade is determined to be outside the first normal value interval, the ultrasonic blade system can be determined to be faulty. In order to further locate the specific component with the fault, the application further utilizes the second normal value interval to judge.
Since the vibration generated by the transducer is more difficult to transmit to the ultrasonic blade when the ultrasonic blade is damaged and the transducer is normal, when only the ultrasonic blade is damaged, the ultrasonic blade can be considered to be disconnected from the transducer, and at this time, the actual resonant frequency of the transducer and the ultrasonic blade should be close to the resonant frequency of the transducer itself, that is, should take a value within the second normal value interval. Therefore, after the fact that the actual resonance frequency values of the transducer and the ultrasonic knife are in the second normal value interval after the transducer is connected with the ultrasonic knife is judged, the transducer can be judged to be normal and the ultrasonic knife is in fault; if the resonant frequency is outside the first normal value interval and outside the second normal value interval, the transducer fault can be determined.
S104: and judging that the transducer is normal but the ultrasonic knife is out of order.
S105: and judging the fault of the transducer.
It should be noted that, the determination result of the transducer failure in step S105 may be divided into two cases: the transducer and the ultrasonic blade both fail, the transducer fails and the ultrasonic blade is normal. Thus, after determining the failure of the transducer, the technician may further detect whether the ultrasonic blade is malfunctioning in combination with other detection means. For example, when the ultrasonic blade is damaged, the blade bar is broken, and the blade bar is cracked, and the detection can be further performed by a person skilled in the art based on the fact.
Therefore, according to the fault detection method of the ultrasonic knife system, the resonance frequency actually measured by the transducer in the state of being connected with the ultrasonic knife is compared with the first normal value interval of the resonance frequency when the transducer is in normal operation after being connected with the ultrasonic knife and the second normal value interval of the resonance frequency of the transducer, so that the system fault can be effectively identified, the specific part with the fault can be directly positioned under the condition that the transducer and the ultrasonic knife are not required to be disassembled, the replacement or maintenance of the part is facilitated, and the fault treatment efficiency is improved.
It should be further noted that the fault detection for the ultrasonic blade system may be specifically applied in various scenarios, for example, fault detection is performed during a system start-up self-test procedure, or fault detection is performed immediately after the ultrasonic blade starts to start, or fault detection is continuously performed during the use process of the ultrasonic blade, etc.
In the using process of the ultrasonic knife, the system generally tracks the current resonant frequency in real time by using a built-in resonant frequency tracking algorithm, so that the current resonant frequency obtained by the resonant frequency tracking algorithm can be directly used for judging whether the current resonant frequency is in a first normal value interval or a second normal value interval or not when fault diagnosis is carried out at the moment, further a fault diagnosis result is obtained, and a fault alarm is sent out.
When the system is started up for self-checking and the ultrasonic knife is started up just to perform fault detection, a frequency sweep test mode can be specifically adopted to judge whether the resonant frequency is in the first normal value interval or the second normal value interval.
Referring to fig. 2, fig. 2 is a flowchart of a method for determining whether a resonant frequency is in a first normal value interval based on a sweep test according to an embodiment of the present application.
As a specific embodiment, as shown in fig. 2, the process of determining whether the resonant frequency of the transducer in the state of being connected to the ultrasonic blade is within the first normal value interval includes:
s201: and carrying out sweep frequency test on the transducer connected with the ultrasonic knife in a frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer at each frequency point to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer.
S202: judging whether a frequency point of a first interval maximum value of the real part of the admittance of the circuit is an endpoint of a first normal value interval; if not, entering S203; if yes, the process proceeds to S204.
S203: and determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is positioned in a first normal value interval.
S204: and determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside the first normal value interval.
It should be noted that, when the present application determines whether the first resonant frequency of the ultrasonic blade system is within the first normal value interval based on the sweep test, specifically, the resonant frequency is tracked based on the real part of the circuit admittance of the transducer.
Specifically, referring to fig. 3, fig. 3 is an equivalent circuit diagram of a transducer disclosed in an embodiment of the present application, including two parallel branches. One branch is a static branch and comprises a static capacitor C0, the static capacitor C0 is mostly piezoelectric ceramics, the capacitance value is determined by the electrode area and thickness of the piezoelectric ceramics vibrator, and is generally about 2nF-4 nF; the other branch is a dynamic branch and comprises three devices which are connected in series, namely a dynamic inductance Ls, a dynamic capacitance Cs and a dynamic resistance Rs. When the dynamic inductance Ls and the dynamic capacitance Cs resonate, the impedance of the equivalent circuit of the ultrasonic transducer is minimum, which is Rs.
In the course of practice, the inventors found that: the real admittance part of the equivalent circuit of the transducer (hereinafter referred to as the "real circuit admittance part") and the resonant frequency maintain a fixed correspondence: the real part of the circuit admittance takes a maximum value at the corresponding resonant frequency. Referring specifically to fig. 4, fig. 4 is a graph of resonance curves of a transducer according to an embodiment of the present application.
The various resonance curves in fig. 4 are obtained by simulation, particularly in the case of the circuit parameters of the known transducer (for example, it may be that the static capacitance C0 is 4nF, the dynamic inductance Ls is 399mH, and the dynamic capacitance Cs is 21 pF), and the resonance frequency (the resonance frequency is f 2), using the load parameters with heavy load (for example, the dynamic resistance Rs is 400 Ω).
Wherein, |Z PH The phase and total impedance amplitude of the equivalent circuit of the transducer are respectively Z MPH I and Z M And I is the branch phase and branch impedance amplitude of a dynamic branch in the equivalent circuit of the transducer, and G is the admittance real part of the equivalent circuit of the transducer. It can be seen that in the heavy load state as shown in fig. 4, the real admittance of the equivalent circuit takes a maximum value at f2, with a correspondence.
Therefore, the method and the device can judge whether the resonant frequency of the transducer connected with the ultrasonic knife is in the first normal value interval or not by judging whether the frequency point of the maximum value of the real part of the admittance of the circuit is in the first normal value interval or not.
Specifically, in the frequency range corresponding to the first normal value interval, the frequency sweep test is performed on the transducer connected with the ultrasonic knife, and the maximum value in the real part of the circuit admittance corresponding to each frequency point is determined and is called the maximum value of the first interval.
If the frequency point corresponding to the maximum value of the first interval is in the first normal value interval and is not an interval end point, the maximum value of the first interval is the maximum value in the first normal value interval and is the maximum value in the whole positive number range, so that the frequency point corresponding to the maximum value of the first interval is the actual resonance frequency of the transducer and the ultrasonic knife after being connected.
If the frequency point corresponding to the maximum value of the first interval is at the end point (left end point or right end point) of the first normal value interval, it is indicated that the first normal value interval is a monotonic interval of the real part of the circuit admittance, and the maximum value of the first interval is only the maximum value in the first normal value interval, but not the maximum value in the whole positive number set, and the actual maximum value falls outside the first normal value interval, that is, the actual resonant frequency of the transducer (in the state of being connected with the ultrasonic blade) is outside the first normal value interval.
For the calculation of the real part of the circuit admittance, the method can acquire waveform data of the output current and the output voltage of the transducer based on the detection circuit, determine the phase difference between the output current and the output voltage, the output current amplitude and the output voltage amplitude, and further calculate the corresponding real part of the circuit admittance. The specific calculation method can be found in the related prior art, and will not be described in detail here.
Furthermore, the process of the sweep test may specifically include:
determining the step length of the sweep frequency;
determining each frequency point in the sweep frequency range according to the sweep frequency step length;
the transducers are excited at respective frequency points to calculate the real part of the circuit admittance of the transducer at the corresponding frequency point.
It is easy to understand that a person skilled in the art can select a sweep frequency step size with a proper size to reasonably control the frequency interval of each frequency point and the overall number of the frequency points, and balance the aspects of data accuracy and data calculation amount.
According to the method, the maximum value of the real part of the admittance of the circuit is taken as a basis, the resonant frequency of the transducer and the ultrasonic knife is detected, whether the actual resonant frequency is in the first normal value interval or not is judged, the tracking accuracy of the resonant frequency is effectively improved, the fault detection efficiency and the result accuracy are further improved, and the safe use of the ultrasonic knife system is ensured.
Referring to fig. 5, fig. 5 is a flowchart of a method for determining whether a resonant frequency is in a second normal value interval based on a sweep test according to an embodiment of the present application, which mainly includes:
s301: and carrying out sweep frequency test on the transducer connected with the ultrasonic knife in a frequency range corresponding to the second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer at each frequency point to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer.
S302: judging whether the frequency point of the maximum value of the second interval of the real part of the admittance of the circuit is the endpoint of the second normal value interval; if not, enter S303; if yes, the process proceeds to S304.
S303: and determining that the resonant frequency is positioned in the second normal value interval.
S304: and determining that the resonant frequency is outside the second normal value interval.
Similar to fig. 2, the present embodiment determines whether the second interval maximum value is the maximum value in the whole positive number domain (i.e. the real part of the circuit admittance obtained at the actual resonance frequency point) by determining whether the frequency point corresponding to the second interval maximum value of the real part of the circuit admittance is the interval end point, thereby determining whether the actual resonance frequency point is in the second normal value interval.
As a specific embodiment, the fault detection method of the ultrasonic blade system provided in the embodiment of the present application further includes, based on the above content:
obtaining resonant frequencies of a plurality of transducers of the same type in a state of being connected with an ultrasonic knife so as to form first sample test data;
determining a first normal value interval by taking the mean value of the first sample test data as an interval center and taking the standard deviation of the first sample test data as a fluctuation range;
and/or the number of the groups of groups,
obtaining resonant frequencies of a plurality of transducers of the same type in a state of being not connected with an ultrasonic knife so as to form second sample test data;
and determining a second normal value interval by taking the mean value of the second sample test data as the interval center and taking the standard deviation of the second sample test data as the fluctuation range.
Specifically, in this embodiment, the first normal value interval is set according to the statistical parameters of the test data of the relevant samples of the resonant frequencies of the two transducers with the same type and the ultrasonic blade after the two transducers are connected, so as to improve the rationality of interval range setting, and further improve the accuracy of the detection result. For example, if the average value is f e Standard deviation is f σ The first normal value interval may be set to: [ f e -f σ ，f e +f σ ]。
Similarly, the same method can be adopted to set the second normal value interval according to the statistical parameters of the sample test data of the resonant frequency of the transducer of the same type, and the description is omitted here.
As a specific embodiment, the fault detection method of the ultrasonic blade system provided in the embodiment of the present application further includes, based on the above content:
when the ultrasonic knife or the transducer in the ultrasonic knife system is judged to be faulty, a fault alarm corresponding to the faulty component is sent out.
Specific fault alarm modes, such as voice alarm, indicator light alarm, etc., can be set by those skilled in the art, and the present application is not limited thereto.
According to the fault warning method and device, the fault warning corresponding to the fault component is sent, so that on one hand, fault prompt can be carried out, on the other hand, a user or a maintainer can also conveniently and directly locate a fault part, and the fault processing efficiency is improved.
Referring to fig. 6, fig. 6 is a fault detection device 400 of an ultrasonic blade system according to an embodiment of the present application, including:
a first judging module 401, configured to determine whether a resonant frequency of the transducer in a state connected to the ultrasonic blade is located in a first normal value interval;
a second judging module 402, configured to determine whether the resonant frequency is located in a second normal value interval; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic knife; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval;
the result diagnosing module 403 is configured to determine that the ultrasonic blade system is normal when the first determining module 401 determines that the resonant frequency is located within the first normal value interval; when the first judging module 401 determines that the resonant frequency is located outside the first normal value interval and the second judging module 402 determines that the resonant frequency is located inside the second normal value interval, it is determined that the transducer is normal but the ultrasonic blade fails; and when the first judging module 401 determines that the resonant frequency is located outside the first normal value interval and the second judging module 402 determines that the resonant frequency is located outside the second normal value interval, the transducer is judged to be faulty.
Therefore, the fault detection device 400 of the ultrasonic knife system provided by the application, through comparing the resonance frequency actually measured by the transducer in the state of being connected with the ultrasonic knife with the first normal value interval of the resonance frequency during normal operation after the transducer is connected with the ultrasonic knife and the second normal value interval of the resonance frequency of the transducer, not only can effectively identify the system fault, but also can directly locate the specific part with fault under the condition that the transducer and the ultrasonic knife are not required to be disassembled, thereby being convenient for part replacement or maintenance and improving the fault treatment efficiency.
As a specific embodiment, the fault detection apparatus 400 of the ultrasonic blade system provided in the embodiment of the present application specifically includes, based on the above, the first judging module 401:
the first frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in a frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer at each frequency point so as to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer;
the first determining unit is used for judging whether a frequency point of a first interval maximum value of the real part of the admittance of the circuit is an end point of a first normal value interval; if yes, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located in a first normal value interval; if not, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside the first normal value interval.
As a specific embodiment, the fault detection apparatus 400 of the ultrasonic blade system provided in the embodiment of the present application specifically includes, based on the above, the second judging module 402:
the second frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in a frequency range corresponding to a second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer at each frequency point so as to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer;
the second determining unit is used for judging whether the frequency point of the second interval maximum value of the real part of the admittance of the circuit is the end point of the second normal value interval; if yes, determining that the resonant frequency is located in a second normal value interval; if not, determining that the resonant frequency is located outside the second normal value interval.
As a specific embodiment, the fault detection device 400 of the ultrasonic blade system provided in the embodiment of the present application is based on the above, where the fault detection device 400 further includes:
the first sampling module is used for acquiring the resonant frequencies of a plurality of transducers of the same type in a state of being connected with the ultrasonic knife so as to form first sample test data; determining a first normal value interval by taking the mean value of the first sample test data as an interval center and taking the standard deviation of the first sample test data as a fluctuation range;
and/or the number of the groups of groups,
the second sampling module is used for obtaining the resonant frequencies of a plurality of transducers of the same type in a state of being not connected with the ultrasonic knife so as to form second sample test data; and determining a second normal value interval by taking the mean value of the second sample test data as the interval center and taking the standard deviation of the second sample test data as the fluctuation range.
As a specific embodiment, the fault detection device 400 of the ultrasonic blade system provided in the embodiment of the present application is based on the above, where the fault detection device 400 further includes:
and the fault alarming module is used for sending out fault alarming corresponding to the fault component when judging that the ultrasonic knife or the transducer in the ultrasonic knife system fails.
Further, the present application also discloses an ultrasonic blade system 500 and a host machine 501 thereof.
Specifically, referring to fig. 7, an ultrasonic blade system 500 disclosed herein includes a main body 501, a transducer 502, and an ultrasonic blade 503 connected in sequence.
The main body 501 of the ultrasonic blade system 500 is also called an energy generator, and is used for providing ultrasonic excitation signals (in particular, electrical signals) and other control signals for the transducer 502. It may include: a processor in electrical communication with the transducer 502, and a memory in communication with the processor, the memory storing instructions executable by the processor to enable the processor to perform the fault detection method described in any one of the embodiments above, such as the fault detection method shown in fig. 1.
The transducer 502 is electrically connected to an energy generator, which may specifically comprise a piezoelectric element such as a piezoelectric ceramic plate, for converting an ultrasonic excitation signal (electrical energy) received from the main body 501 into ultrasonic vibration (mechanical energy) and transmitting the ultrasonic vibration to the ultrasonic blade 503.
It should be noted that, in the mainframe 501 of the ultrasonic blade system disclosed in the present application, the processor and the memory thereof may be specifically implemented based on FPGA. Also, it is readily understood that the host 501 of the ultrasonic blade system disclosed herein may also include other conventional circuit components for implementing the excitation output function, such as a DSP, a power amplifier, a detection circuit, a digital-to-analog converter, and the like.
The DSP is electrically connected with the FPGA and is used for outputting an excitation control signal to the FPGA so as to control the FPGA to generate an ultrasonic excitation signal; the power amplifier is used for amplifying the ultrasonic excitation signal and outputting the ultrasonic excitation signal to the ultrasonic transducer; the detection circuit is used for detecting waveform sampling of the output current and the output voltage of the equivalent circuit of the ultrasonic transducer; the digital-to-analog converter is respectively and electrically connected with the detection circuit and the FPGA and is used for outputting waveform sampling data of the detection circuit to the FPGA after digital-to-analog conversion processing so that the FPGA can determine the phase difference between the output current and the output voltage, the output current amplitude and the output voltage amplitude based on the waveform sampling data and further calculate the corresponding real part value of the admittance of the circuit.
Ultrasonic blade 503 specifically includes a graspable handle, a blade bar, and an end effector. The end effector includes a blade and a clamping arm pivotable relative to the blade for clamping tissue and cutting and/or hemostasis of tissue.
The tool bit is disposed at the distal end of the tool bar, while the proximal end of the tool bar is connected to the transducer 502, and the tool bar is used for transmitting and amplifying the ultrasonic vibration generated by the transducer 502.
When the ultrasonic knife system 500 works, the main machine 501 sends out an ultrasonic excitation signal to drive the transducer 502, the transducer 502 converts the received ultrasonic excitation signal into ultrasonic vibration, and the ultrasonic vibration is transmitted and amplified through the knife bar of the ultrasonic knife 503, and finally the knife head is driven to perform high-frequency reciprocating motion, so that tissue clamped between the knife head and the clamping arm is denatured and broken, and the functions of cutting and/or closing small blood vessels are achieved.
It should be understood that, since the ultrasonic blade system 500 and the host machine 501 thereof provided herein are capable of implementing the fault detection method provided herein, or operating the fault detection device provided herein; therefore, the fault detection method and the fault detection device have the beneficial effects provided by the application, and are not repeated here.
In this application, each embodiment is described in a progressive manner, and each embodiment focuses on a difference from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the apparatus disclosed in the examples, since it corresponds to the method disclosed in the examples, the description is relatively simple, and the relevant points are referred to in the description of the method section.
It should also be noted that in this document, relational terms such as "first" and "second" are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The technical scheme provided by the application is described in detail. Specific examples are set forth herein to illustrate the principles and embodiments of the present application, and the description of the examples above is only intended to assist in understanding the methods of the present application and their core ideas. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the present application.
Claims (10)
1. A method of fault detection for an ultrasonic blade system, comprising:
determining whether the resonant frequency of the transducer in a state of being connected with the ultrasonic knife is positioned in a first normal value interval;
if yes, judging that the ultrasonic knife system is normal;
if not, determining whether the resonant frequency is in a second normal value interval; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic blade; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval;
if the resonant frequency is in the second normal value interval, judging that the transducer is normal but the ultrasonic knife is in fault;
and if the resonant frequency is outside the second normal value interval, judging that the transducer fails.
2. The method of claim 1, wherein determining whether the resonant frequency of the transducer in the connected state with the ultrasonic blade is within a first normal range of values comprises:
carrying out sweep frequency test on the transducer connected with the ultrasonic knife in a frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer;
judging whether a frequency point of a first interval maximum value of the real part of the admittance of the circuit is an endpoint of the first normal value interval or not;
if not, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is positioned in a first normal value interval;
if yes, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside a first normal value interval.
3. The fault detection method of claim 1, wherein the determining whether the resonant frequency is within a second normal value interval comprises:
carrying out sweep frequency test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer;
judging whether a frequency point of a second interval maximum value of the real part of the admittance of the circuit is an endpoint of the second normal value interval;
if not, determining that the resonant frequency is located in a second normal value interval;
if yes, determining that the resonant frequency is located outside a second normal value interval.
4. The fault detection method according to claim 1, characterized in that the fault detection method further comprises:
obtaining resonance frequencies of a plurality of transducers of the same type in a state of being connected with the ultrasonic knife so as to form first sample test data;
determining the first normal value interval by taking the mean value of the first sample test data as an interval center and taking the standard deviation of the first sample test data as a fluctuation range;
and/or the number of the groups of groups,
obtaining resonance frequencies of a plurality of transducers of the same type in a state of being not connected with the ultrasonic knife so as to form second sample test data;
and determining the second normal value interval by taking the mean value of the second sample test data as an interval center and taking the standard deviation of the second sample test data as a fluctuation range.
5. The fault detection method according to any one of claims 1 to 4, characterized in that the fault detection method further comprises:
and when judging that the ultrasonic knife or the transducer in the ultrasonic knife system fails, sending out a fault alarm corresponding to the failed component.
6. A fault detection device for an ultrasonic blade system, comprising:
the first judging module is used for determining whether the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is positioned in a first normal value interval;
the second judging module is used for determining whether the resonant frequency is located in a second normal value interval or not; the second normal value interval is a resonance frequency interval in which the transducer normally operates in a state of being not connected with the ultrasonic blade; the right end point of the second normal value interval is smaller than the left end point of the first normal value interval;
the result diagnosis module is used for judging that the ultrasonic knife system is normal when the first judgment module determines that the resonant frequency is positioned in the first normal value interval; when the first judging module determines that the resonant frequency is located outside the first normal value interval and the second judging module determines that the resonant frequency is located inside the second normal value interval, judging that the transducer is normal but the ultrasonic knife is faulty; and when the first judging module determines that the resonant frequency is located outside the first normal value interval and the second judging module determines that the resonant frequency is located outside the second normal value interval, judging that the transducer is faulty.
7. The fault detection device of claim 6, wherein the first determination module specifically comprises:
the first frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the first normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point so as to determine the maximum value of the first interval of the real part of the circuit admittance of the transducer;
the first determining unit is used for judging whether the frequency point of the maximum value of the first interval of the real part of the admittance of the circuit is the endpoint of the first normal value interval; if yes, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located in a first normal value interval; if not, determining that the resonant frequency of the transducer in the state of being connected with the ultrasonic knife is located outside the first normal value interval.
8. The fault detection device according to claim 6, wherein the second judging module specifically includes:
the second frequency sweep unit is used for carrying out frequency sweep test on the transducer connected with the ultrasonic knife in the frequency range corresponding to the second normal value interval, and calculating and comparing the real part of the circuit admittance of the transducer under each frequency point so as to determine the maximum value of the second interval of the real part of the circuit admittance of the transducer;
the second determining unit is used for judging whether the frequency point of the maximum value of the second interval of the real part of the admittance of the circuit is the endpoint of the second normal value interval; if yes, determining that the resonant frequency is located in a second normal value interval; if not, determining that the resonant frequency is located outside the second normal value interval.
9. A mainframe for an ultrasonic blade system, comprising:
a processor electrically connected to the transducer; the method comprises the steps of,
a memory communicatively coupled to the processor, the memory storing instructions executable by the processor, the instructions when executed for implementing the fault detection method of any one of claims 1 to 5.
10. An ultrasonic blade system, comprising:
an ultrasonic knife;
a transducer connected with the ultrasonic blade for converting the received ultrasonic excitation signal into ultrasonic vibration and transmitting the ultrasonic vibration to the ultrasonic blade; the method comprises the steps of,
the host of claim 9, electrically connected to the transducer for providing the ultrasonic excitation signal to the transducer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010886433.7A CN114098908B (en) | 2020-08-28 | 2020-08-28 | Ultrasonic knife system and fault detection method, device and host thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010886433.7A CN114098908B (en) | 2020-08-28 | 2020-08-28 | Ultrasonic knife system and fault detection method, device and host thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114098908A CN114098908A (en) | 2022-03-01 |
| CN114098908B true CN114098908B (en) | 2024-01-12 |
Family
ID=80375028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010886433.7A Active CN114098908B (en) | 2020-08-28 | 2020-08-28 | Ultrasonic knife system and fault detection method, device and host thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114098908B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115153761B (en) * | 2022-07-29 | 2023-12-12 | 河南省驼人医疗科技有限公司 | Ultrasonic cutting hemostatic cutter control system and frequency sweeping and automatic tracking control method thereof |
| CN116430139B (en) * | 2023-03-29 | 2023-12-05 | 河南省驼人医疗科技有限公司 | Ultrasonic cutting hemostatic cutter fault detection system and detection method thereof |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004025175A (en) * | 2003-06-02 | 2004-01-29 | Olympus Corp | Ultrasonic transducer driving device |
| CN110214453A (en) * | 2017-01-25 | 2019-09-06 | 株式会社村田制作所 | Ultrasonic unit |
-
2020
- 2020-08-28 CN CN202010886433.7A patent/CN114098908B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004025175A (en) * | 2003-06-02 | 2004-01-29 | Olympus Corp | Ultrasonic transducer driving device |
| CN110214453A (en) * | 2017-01-25 | 2019-09-06 | 株式会社村田制作所 | Ultrasonic unit |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114098908A (en) | 2022-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114098908B (en) | Ultrasonic knife system and fault detection method, device and host thereof | |
| US7554343B2 (en) | Ultrasonic transducer control method and system | |
| US6662127B2 (en) | Method for detecting presence of a blade in an ultrasonic system | |
| JP2021514785A (en) | Detection of macrovascular during parenchymal incision using smart blade | |
| CN109646109B (en) | Self-adaptive cutting hemostasis control method and device for ultrasonic knife tissue | |
| JP2021514794A (en) | Real-time tissue classification using electrical parameters | |
| CN113019870A (en) | Method and device for tracking resonant frequency of ultrasonic transducer and related equipment | |
| WO2023066077A1 (en) | Ultrasonic scalpel, energy instrument for surgery, and power adjustment method therefor | |
| JP2009254818A (en) | Power supply apparatus for operation | |
| JP2015520620A (en) | Technology for cutting and coagulating tissue for ultrasonic surgical instruments | |
| US20100126275A1 (en) | Self-calibrating ultrasound systems and methods | |
| CN114305600B (en) | Control method and device of ultrasonic surgical instrument, surgical equipment and storage medium | |
| CN117982204B (en) | Method, device, equipment and medium for determining control parameters of ultrasonic surgical system | |
| JP2022522105A (en) | Systems and methods for driving ultrasonic devices | |
| US8372100B2 (en) | Ultrasound surgical apparatus and calibration method therefor | |
| JP4493625B2 (en) | Ultrasonic surgery system | |
| JPH1094545A (en) | Electric operation apparatus | |
| CN112040890A (en) | Medical device system, abnormality determination method, and abnormality determination program | |
| CN217611276U (en) | Device for outputting drive signal to surgical instrument and surgical system | |
| US20220062662A1 (en) | Treatment system, control device, and control method | |
| US7983865B2 (en) | Power supply apparatus for operation and resonant frequency searching method | |
| JP2002078715A (en) | Ultrasonic surgical operation system | |
| CN114469269B (en) | Ultrasonic knife transducer overheating protection method and device and ultrasonic knife equipment | |
| CN118383840B (en) | Ultrasonic knife cutting tissue identification and classification method and system | |
| US20210196308A1 (en) | Medical device, control method, and computer-readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |