CN116672094B - Energy instrument service life analysis system - Google Patents
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- 230000000740 bleeding effect Effects 0.000 description 2
- 230000015271 coagulation Effects 0.000 description 2
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
- A61B90/08—Accessories or related features not otherwise provided for
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- 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
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
- A61B90/08—Accessories or related features not otherwise provided for
- A61B2090/0803—Counting the number of times an instrument is used
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
- A61B90/08—Accessories or related features not otherwise provided for
- A61B2090/0807—Indication means
- A61B2090/0809—Indication of cracks or breakages
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention relates to an energy machinery service life analysis system, comprising: an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool; and the training execution device is used for executing multiple training processes. According to the invention, whether the currently used ultrasonic cutter is damaged in the subsequent use or not can be intelligently judged before the ultrasonic cutter is used by medical staff, so that the ultrasonic cutter can be timely maintained and replaced for subsequent treatment when the damage is judged, and the intelligent level of energy mechanical management is improved.
Description
Technical Field
The invention relates to the field of energy machinery, in particular to a service life analysis system of energy machinery.
Background
Energy surgery refers to the surgical branch in which surgeons cut, separate, stop bleeding, and perform other various functions on tissue using various energy devices during the surgical procedure. Energy devices refer to energy-emitting devices used in the above-described surgical procedures, such as high frequency, ultrasound, microwaves, etc., that interact with living tissue while simultaneously cutting tissue and organs to stop bleeding.
From an energy utilization perspective, energy devices can be classified into electrical energy and mechanical energy. Electric energy is utilized: the principle of action is that voltage and current with corresponding frequency are generated by the generator and are conducted to the action electrode, the action electrode generates corresponding temperature on the tissue, and therefore, after the needed effect (solidification or cutting) is achieved, the current flows back through the grounding electrode. Such as single stage electrotomes, bipolar electrotomes, radio frequency ablation devices, argon gas blades, and the like. Mechanical energy is utilized: the most commonly used ultrasonic cutters are used for achieving the functions of coagulation or cutting and the like by high-frequency vibration generated by a cutter head and heat energy generated when the ultrasonic cutters contact tissues.
The invention of application publication number CN115778496a discloses an ultrasonic blade energy output control system, method and computer readable storage medium, comprising: the ultrasonic device comprises an ultrasonic main machine, a transducer and an ultrasonic knife, wherein the ultrasonic knife comprises an amplitude transformer and a knife head; the ultrasonic host is used for providing electric energy for the transducer; the energy converter is used for converting electric energy into kinetic energy and then transmitting the kinetic energy to the cutter head through the amplitude transformer; the tool bit is used for processing biological tissues based on kinetic energy; the control unit is arranged in the ultrasonic host machine and is used for acquiring the temperature of the cutter head when the preset excitation operation is triggered, controlling the energy transmitted to the ultrasonic cutter to be first energy when the temperature of the cutter head is detected to meet the first preset condition, or controlling the energy transmitted to the ultrasonic cutter to be second energy which is larger than the first energy when the temperature of the cutter head is detected to meet the second preset condition, and controlling the energy transmitted to the ultrasonic cutter to be switched from the second energy to the first energy after the duration of the transmission of the second energy reaches the threshold value of the preset duration so as to improve the operation efficiency. As another example, the invention of application publication No. CN115670591a also discloses an energy output control method, device, computer equipment and storage medium of the ultrasonic blade system, where the method includes: acquiring the variation of the output power of a host machine at the current moment of an ultrasonic knife system; acquiring the frequency variation of an ultrasonic tool bit at the current moment of an ultrasonic tool system; acquiring the ratio of the variation of the output power at the current moment to the frequency variation at the current moment; and controlling the energy output of the host at the current moment according to the ratio of the current moment. The method can control the energy output of the host based on the ratio of the variation of the output power of the host and the variation of the frequency of the ultrasonic tool bit at each moment, breaks through the energy output mode of the host outputting constant current in the traditional mode, adjusts the energy output of the host pertinently, and can give consideration to the cutting and coagulation effects when in use.
However, before the medical staff uses the ultrasonic cutter each time, the ultrasonic cutter is used for different times in history and different conditions of each use, so that whether the cutter is damaged in the current use process can not be judged, therefore, when the ultrasonic knife is used for the current operation, the ultrasonic knife is in a state of 24248, and once the knife is damaged, the medical appliance is greatly lost, and more importantly, the treatment of a patient and even the body of the patient are seriously affected.
Disclosure of Invention
The invention provides an energy instrument service life analysis system which can solve the technical problems in the field, and the system comprises:
the device comprises a cutter acquisition device, a control device and a control device, wherein the cutter acquisition device is used for taking each damaged ultrasonic cutter as a target cutter to acquire various cutter parameters of the target cutter, and the various cutter parameters of the target cutter comprise the cutter head length, the cutter weight, the vibration frequency and the self-checking duration before starting;
the information input device is used for acquiring each piece of use information corresponding to each use of the target cutter before damage, and the use information corresponding to each use before damage comprises an average vibration amplitude, vibration times, a maximum vibration amplitude and a minimum vibration amplitude of the target cutter in the use process;
an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool;
the training execution device is respectively connected with the cutter acquisition device, the analysis execution device and the information input device and is used for executing multiple training processes on the AI analysis model based on the output data of the cutter acquisition device and the information input device and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use;
the AI analysis model analyzes whether the current ultrasonic tool is damaged after being put into use based on each use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and the historical use time length of the current ultrasonic tool, and comprises: the method comprises the steps that each piece of use information corresponding to each use before a current ultrasonic cutter to be put into use, each cutter parameter of the current ultrasonic cutter and the historical use time length of the current ultrasonic cutter are used as input data of the AI analysis model part by part to execute the AI analysis model, and a use damage identifier output by the AI analysis model is obtained;
when the acquired use damage identifier of the output of the AI analysis model is 0B01, analyzing that the current ultrasonic cutter is damaged after being put into use, and when the acquired use damage identifier of the output of the AI analysis model is 0B00, analyzing that the current ultrasonic cutter is not damaged after being put into use;
wherein performing a plurality of training processes on the AI analysis model based on output data of the tool acquisition device and the information entry device includes: the number of training processes performed is even and positively correlated with the number of ultrasonic tool types having different tool bit lengths, and the number of negative training processes of the AI analysis model is equal to the number of positive training processes.
According to the technical scheme, the AI analysis model for completing multiple training processes can be designed aiming at the ultrasonic cutter, and whether the ultrasonic cutter which is currently used is damaged in subsequent use or not is intelligently judged before medical staff use the ultrasonic cutter, so that when the ultrasonic cutter is judged to be damaged, maintenance is timely carried out, other cutters are replaced for subsequent treatment, and the influence on treatment of a patient and even the body of the patient is avoided while the damage to medical equipment is avoided.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a block diagram showing the construction of a life analysis system for an energy instrument according to embodiment 1 of the present invention.
Fig. 2 is a block diagram showing the construction of a life analysis system for an energy instrument according to embodiment 2 of the present invention.
Fig. 3 is a block diagram showing the construction of a life analysis system for an energy instrument according to embodiment 3 of the present invention.
Detailed Description
Embodiments of the energy instrument service life analysis system of the present invention will be described in detail below with reference to the accompanying drawings.
Embodiment 1
Fig. 1 is a block diagram showing a construction of a life analysis system of an energy instrument according to embodiment 1 of the present invention, the system including:
the device comprises a cutter acquisition device, a control device and a control device, wherein the cutter acquisition device is used for taking each damaged ultrasonic cutter as a target cutter to acquire various cutter parameters of the target cutter, and the various cutter parameters of the target cutter comprise the cutter head length, the cutter weight, the vibration frequency and the self-checking duration before starting;
illustratively, the tool acquisition device comprises a dynamic storage unit for storing the tool bit length, the tool weight, the vibration frequency and the pre-start self-checking time length of the target tool;
for example, storing the bit length, the tool weight, the vibration frequency, and the pre-start self-test duration of the target tool includes: different physical addresses can be adopted to respectively store the cutter head length, the cutter weight, the vibration frequency and the self-checking time length before starting;
the information input device is used for acquiring each piece of use information corresponding to each use of the target cutter before damage, and the use information corresponding to each use before damage comprises an average vibration amplitude, vibration times, a maximum vibration amplitude and a minimum vibration amplitude of the target cutter in the use process;
an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool;
the training execution device is respectively connected with the cutter acquisition device, the analysis execution device and the information input device and is used for executing multiple training processes on the AI analysis model based on the output data of the cutter acquisition device and the information input device and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use;
the AI analysis model analyzes whether the current ultrasonic tool is damaged after being put into use based on each use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and the historical use time length of the current ultrasonic tool, and comprises: the method comprises the steps that each piece of use information corresponding to each use before a current ultrasonic cutter to be put into use, each cutter parameter of the current ultrasonic cutter and the historical use time length of the current ultrasonic cutter are used as input data of the AI analysis model part by part to execute the AI analysis model, and a use damage identifier output by the AI analysis model is obtained;
when the acquired use damage identifier of the output of the AI analysis model is 0B01, analyzing that the current ultrasonic cutter is damaged after being put into use, and when the acquired use damage identifier of the output of the AI analysis model is 0B00, analyzing that the current ultrasonic cutter is not damaged after being put into use;
wherein performing a plurality of training processes on the AI analysis model based on output data of the tool acquisition device and the information entry device includes: the number of times of training processing is even and positively correlated with the number of ultrasonic cutter types with different cutter head lengths, and the number of times of negative training processing of the AI analysis model is equal to the number of times of positive training processing;
the method for performing multiple training processes on the AI analysis model based on the output data of the tool acquisition device and the information input device, and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use includes: in each forward training process of the AI analysis model, using corresponding parts of use information of an ultrasonic cutter which is damaged in the use process before the use, tool parameters of the ultrasonic cutter which is damaged in the use process and historical use time length of the ultrasonic cutter which is damaged in the use process as part by part input data of the AI analysis model, and using a damage using mark with a value of 0B01 as output data of the AI analysis model to finish the current forward training process of the AI analysis model;
the method for performing multiple training processes on the AI analysis model based on the output data of the tool acquisition device and the information input device, and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use includes: in each negative training process of the AI analysis model, using each piece of use information corresponding to each use of the undamaged ultrasonic tool before the use, each tool parameter of the undamaged ultrasonic tool in the use and the historical use time length of the undamaged ultrasonic tool in the use as the piece-by-piece input data of the AI analysis model, and using a damage using mark with the value of 0B00 as the output data of the AI analysis model to finish the negative training process of the AI analysis model.
Embodiment 2
Fig. 2 is a block diagram showing the construction of a life analysis system for an energy instrument according to embodiment 2 of the present invention.
The energy instrument life analysis system shown in fig. 2 includes:
the device comprises a cutter acquisition device, a control device and a control device, wherein the cutter acquisition device is used for taking each damaged ultrasonic cutter as a target cutter to acquire various cutter parameters of the target cutter, and the various cutter parameters of the target cutter comprise the cutter head length, the cutter weight, the vibration frequency and the self-checking duration before starting;
the information input device is used for acquiring each piece of use information corresponding to each use of the target cutter before damage, and the use information corresponding to each use before damage comprises an average vibration amplitude, vibration times, a maximum vibration amplitude and a minimum vibration amplitude of the target cutter in the use process;
an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool;
the training execution device is respectively connected with the cutter acquisition device, the analysis execution device and the information input device and is used for executing multiple training processes on the AI analysis model based on the output data of the cutter acquisition device and the information input device and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use;
the liquid crystal display screen is connected with the analysis execution device and is used for receiving and displaying the analysis result of the AI analysis model;
alternatively, an LED display array or an LCD display array is used in place of the liquid crystal display screen for receiving and displaying the analysis results of the AI analysis model.
Embodiment 3
Fig. 3 is a block diagram showing the construction of a life analysis system for an energy instrument according to embodiment 3 of the present invention.
The energy instrument life analysis system shown in fig. 3 includes:
the device comprises a cutter acquisition device, a control device and a control device, wherein the cutter acquisition device is used for taking each damaged ultrasonic cutter as a target cutter to acquire various cutter parameters of the target cutter, and the various cutter parameters of the target cutter comprise the cutter head length, the cutter weight, the vibration frequency and the self-checking duration before starting;
the information input device is used for acquiring each piece of use information corresponding to each use of the target cutter before damage, and the use information corresponding to each use before damage comprises an average vibration amplitude, vibration times, a maximum vibration amplitude and a minimum vibration amplitude of the target cutter in the use process;
an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool;
the training execution device is respectively connected with the cutter acquisition device, the analysis execution device and the information input device and is used for executing multiple training processes on the AI analysis model based on the output data of the cutter acquisition device and the information input device and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use;
and the network transmission interface is connected with the remote medical device management server in a network manner and is connected with the analysis execution device and is used for transmitting the analysis result of the AI analysis model to the remote medical device management server through a network communication link.
Next, a further description will be given of the specific structure of the energy instrument service life analysis system of the present invention.
In an energy instrument service life analysis system according to various embodiments of the present invention:
the AI analysis model analyzing whether the current ultrasonic tool is damaged after being put into use based on each piece of use information respectively corresponding to each use immediately before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and a historical use time length of the current ultrasonic tool includes: each piece of use information corresponding to each use before the current ultrasonic cutter is put into use, each cutter parameter of the current ultrasonic cutter and the historical use time length of the current ultrasonic cutter are all binary number value representation modes;
in each forward training process of the AI analysis model, using each piece of use information corresponding to each use of the damaged ultrasonic tool before use, each tool parameter of the damaged ultrasonic tool during use and the historical use time length of the damaged ultrasonic tool during use as the piece-by-piece input data of the AI analysis model, using a damage using mark with a value of 0B01 as the output data of the AI analysis model, and completing the forward training process of the AI analysis model includes: the ultrasonic tool damaged in the use process is used for each corresponding use information before use, each tool parameter of the ultrasonic tool damaged in the use process and the historical use time length of the ultrasonic tool damaged in the use process are all binary value representation modes;
in each negative training process of the AI analysis model, using each piece of use information corresponding to each use of the ultrasonic tool which is not damaged in the use process before the use, each tool parameter of the ultrasonic tool which is not damaged in the use process, and the historical use time length of the ultrasonic tool which is not damaged in the use process as the piece-by-piece input data of the AI analysis model, using a damage use identifier with a value of 0B00 as the output data of the AI analysis model, and completing the negative training process of the AI analysis model comprises: and before the ultrasonic tool is used, each corresponding use information, each tool parameter and the historical use time length of the ultrasonic tool are binary number representation modes.
And in an energy instrument service life analysis system according to various embodiments of the present invention:
the usage information corresponding to each usage before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the current usage process, and the usage information comprises the following steps: carrying out average value calculation on each amplitude value corresponding to each vibration of the target cutter in the current use process so as to obtain the average vibration amplitude value of the target cutter in the current use process;
the use information corresponding to each use before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the use process of the time, wherein the use information comprises the following components: sequencing the amplitudes corresponding to the vibrations of the target cutter in the current use process from small to large sequentially, and taking the amplitude with the smallest sequence number as the minimum vibration amplitude of the target cutter in the current use process;
the use information corresponding to each use before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the use process of the time, wherein the use information comprises the following components: and sequencing the amplitudes corresponding to the vibrations of the target cutter in the current use process from small to large, and taking the amplitude with the largest serial number as the maximum vibration amplitude of the target cutter in the current use process.
In addition, in the energy instrument service life analysis system, the AI analysis model analyzing whether the current ultrasonic tool is damaged after being put into use based on each piece of use information respectively corresponding to each use immediately before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and a history of use time length of the current ultrasonic tool includes: the historical use time length of the current ultrasonic cutter is the sum value of the use time lengths corresponding to the use times before the current ultrasonic cutter is put into use.
The innovation of the technical scheme of the invention is as follows:
1: an AI analysis model which is subjected to multiple training processes is adopted, and whether the current ultrasonic cutter is damaged after being put into use or not is intelligently analyzed based on corresponding use information of each use before the current ultrasonic cutter is put into use, cutter parameters of the current ultrasonic cutter and historical use time length of the current ultrasonic cutter, so that an advanced judgment basis is provided for the reliability judgment of the equipment of each ultrasonic cutter used by medical staff;
2: in order to ensure the effectiveness of intelligent analysis of the AI analysis model, the AI analysis model is subjected to training processing for an even number of times and positively associated with the number of ultrasonic cutter types with different cutter head lengths, and the AI analysis model is subjected to negative training processing for the same number of times as the positive training processing;
3: specifically, in each positive/negative training process of the AI analysis model, each piece of use information of the ultrasonic tool which is damaged/not damaged in the use process, each piece of tool parameters of the ultrasonic tool which is damaged/not damaged in the use process and the historical use time length of the ultrasonic tool which is damaged/not damaged in the use process are used as the piece-by-piece input data of the AI analysis model, and the damage-using identification with the value of 0B01/0B00 is used as the output data of the AI analysis model, so that the positive/negative training process of the AI analysis model is completed, and the training effect of each positive/negative training of the model is ensured.
The service life analysis system of the energy instrument is adopted, and the technical problem that the damaged scene is difficult to predict in the use process of the energy instrument in the prior art is solved, whether the currently used ultrasonic cutter is damaged in the subsequent use or not is intelligently judged before medical staff use the ultrasonic cutter, so that when the damage is judged, the damage can be timely maintained, other cutters are replaced for subsequent treatment, the early prediction of the damaged scene in the use process of the energy instrument is completed, and the intelligent level of energy instrument management is improved.
In the foregoing specification, the invention has been described with reference to specific embodiments. However, it will be understood by those skilled in the art that various modifications and changes may be made without departing from the scope of the present invention as defined in the appended claims. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present invention.
Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, any benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or element of any or all the claims. The terms "comprises," "comprising," or any other variation thereof, as used herein, 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.
Claims (9)
1. An energy instrument life analysis system, the system comprising:
the device comprises a cutter acquisition device, a control device and a control device, wherein the cutter acquisition device is used for taking each damaged ultrasonic cutter as a target cutter to acquire various cutter parameters of the target cutter, and the various cutter parameters of the target cutter comprise the cutter head length, the cutter weight, the vibration frequency and the self-checking duration before starting;
the information input device is used for acquiring each piece of use information corresponding to each use of the target cutter before damage, and the use information corresponding to each use before damage comprises an average vibration amplitude, vibration times, a maximum vibration amplitude and a minimum vibration amplitude of the target cutter in the use process;
an analysis execution device, which is used for establishing an AI analysis model for predicting the service life of the ultrasonic tool aiming at the ultrasonic tool, wherein the AI analysis model is used for completing multiple training processes, and the AI analysis model is used for analyzing whether the current ultrasonic tool is damaged after being put into use or not based on each piece of use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool and the historical use time length of the current ultrasonic tool;
the training execution device is respectively connected with the cutter acquisition device, the analysis execution device and the information input device and is used for executing multiple training processes on the AI analysis model based on the output data of the cutter acquisition device and the information input device and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use;
the AI analysis model analyzes whether the current ultrasonic tool is damaged after being put into use based on each use information corresponding to each use before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and the historical use time length of the current ultrasonic tool, and comprises: the method comprises the steps that each piece of use information corresponding to each use before a current ultrasonic cutter to be put into use, each cutter parameter of the current ultrasonic cutter and the historical use time length of the current ultrasonic cutter are used as input data of the AI analysis model part by part to execute the AI analysis model, and a use damage identifier output by the AI analysis model is obtained;
when the acquired use damage identifier of the output of the AI analysis model is 0B01, analyzing that the current ultrasonic cutter is damaged after being put into use, and when the acquired use damage identifier of the output of the AI analysis model is 0B00, analyzing that the current ultrasonic cutter is not damaged after being put into use;
wherein performing a plurality of training processes on the AI analysis model based on output data of the tool acquisition device and the information entry device includes: the number of training processes performed is even and positively correlated with the number of ultrasonic tool types having different tool bit lengths, and the number of negative training processes of the AI analysis model is equal to the number of positive training processes.
2. The energy instrument life analysis system of claim 1, wherein:
performing a plurality of training processes on the AI analysis model based on output data of the tool acquisition device and the information input device, and transmitting the AI analysis model after the plurality of training processes to the analysis execution device for use by the analysis execution device includes: in each forward training process of the AI analysis model, using corresponding parts of use information of an ultrasonic cutter which is damaged in the use process before the use, tool parameters of the ultrasonic cutter which is damaged in the use process and historical use time length of the ultrasonic cutter which is damaged in the use process as part by part input data of the AI analysis model, and using a damage using mark with a value of 0B01 as output data of the AI analysis model to finish the current forward training process of the AI analysis model;
the method for performing multiple training processes on the AI analysis model based on the output data of the tool acquisition device and the information input device, and sending the AI analysis model after the multiple training processes to the analysis execution device for the analysis execution device to use includes: in each negative training process of the AI analysis model, using each piece of use information corresponding to each use of the undamaged ultrasonic tool before the use, each tool parameter of the undamaged ultrasonic tool in the use and the historical use time length of the undamaged ultrasonic tool in the use as the piece-by-piece input data of the AI analysis model, and using a damage using mark with the value of 0B00 as the output data of the AI analysis model to finish the negative training process of the AI analysis model.
3. The energy instrument useful life analysis system of claim 2, wherein the system further comprises:
and the liquid crystal display screen is connected with the analysis execution device and used for receiving and displaying the analysis result of the AI analysis model.
4. The energy instrument useful life analysis system of claim 2, wherein the system further comprises:
and the network transmission interface is connected with the remote medical device management server in a network manner and is connected with the analysis execution device and is used for transmitting the analysis result of the AI analysis model to the remote medical device management server through a network communication link.
5. The energy instrument useful life analysis system of any one of claims 2-4, wherein:
the AI analysis model analyzing whether the current ultrasonic tool is damaged after being put into use based on each piece of use information respectively corresponding to each use immediately before the current ultrasonic tool is put into use, each tool parameter of the current ultrasonic tool, and a historical use time length of the current ultrasonic tool includes: the method comprises the steps that each piece of use information corresponding to each use before the current ultrasonic cutter is put into use, each cutter parameter of the current ultrasonic cutter and the historical use time length of the current ultrasonic cutter are binary number value representation modes.
6. The energy instrument life analysis system of claim 5, wherein:
in each forward training process of the AI analysis model, using each corresponding use information of the ultrasonic tool damaged in the use process before the use, each tool parameter of the ultrasonic tool damaged in the use process and the historical use time length of the ultrasonic tool damaged in the use process as the input data of each part of the AI analysis model, using a damage using mark with a value of 0B01 as the output data of the AI analysis model, and completing the forward training process of the AI analysis model comprises the following steps: the ultrasonic tool damaged in the use process is used for each corresponding use information before use, tool parameters of the ultrasonic tool damaged in the use process and the historical use time length of the ultrasonic tool damaged in the use process are all binary value representation modes.
7. The energy instrument life analysis system of claim 6, wherein:
in each negative training process of the AI analysis model, using each piece of use information corresponding to each use of the ultrasonic tool which is not damaged in the use process before the use, each tool parameter of the ultrasonic tool which is not damaged in the use process and the historical use time length of the ultrasonic tool which is not damaged in the use process as the piece-by-piece input data of the AI analysis model, using a damage using mark with a value of 0B00 as the output data of the AI analysis model, and completing the negative training process of the AI analysis model comprises: and before the ultrasonic tool is used, each corresponding use information, each tool parameter and the historical use time length of the ultrasonic tool are binary number representation modes.
8. The energy instrument useful life analysis system of any one of claims 2-4, wherein:
the usage information corresponding to each usage before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the current usage process, and the usage information comprises the following steps: and carrying out average value calculation on each amplitude value corresponding to each vibration of the target cutter in the current use process so as to obtain the average vibration amplitude value of the target cutter in the current use process.
9. The energy instrument life analysis system of claim 8, wherein:
the usage information corresponding to each usage before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the current usage process, and the usage information comprises the following steps: sequencing the amplitudes corresponding to the vibrations of the target cutter in the current use process from small to large sequentially, and taking the amplitude with the smallest sequence number as the minimum vibration amplitude of the target cutter in the current use process;
the use information corresponding to each use before damage comprises the average vibration amplitude, the vibration times, the maximum vibration amplitude and the minimum vibration amplitude of the target cutter in the use process of the time, wherein the use information comprises the following components: and sequencing the amplitudes corresponding to the vibrations of the target cutter in the current use process from small to large, and taking the amplitude with the largest serial number as the maximum vibration amplitude of the target cutter in the current use process.
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