CN111568533A - Method and device for testing performance of intelligent electrotome - Google Patents

Abstract

The invention discloses a method and a device for testing the performance of an intelligent electrotome, wherein the method comprises the following steps: acquiring a preset welding model; acquiring the position of the motion platform corresponding to the first resistance value according to the first resistance value; according to the position of the motion table, simulating a first resistance value by accessing a plurality of non-inductive resistors; acquiring parameters corresponding to the intelligent electrotome according to the simulation result; obtaining a test result according to a preset welding model and the parameters; the moving table position comprises a position where the movable moving table is located when the plurality of non-inductive resistors are connected and conducted, and the parameter comprises voltage. According to the invention, the real-time impedance change of the intelligent electrotome acting on soft tissues is simulated through the resistance value change of the non-inductive resistor, so that the final test result can reflect the parameter change corresponding to the intelligent electrotome when the resistance value changes, and the performance of the intelligent electrotome is accurately tested. The invention can be widely applied to the technical field of high-frequency instrument testing.

Description

Test method and device for performance of intelligent electrosurgical knife

technical field

The invention relates to the field of high-frequency instrument testing, in particular to a method and device for testing the performance of an intelligent electric knife.

Background technique

The smart electrosurgical knife is a high-frequency electrosurgical knife with an intelligent monitoring system. The high-frequency electrosurgical knife is an electrosurgical instrument that replaces the mechanical scalpel for tissue cutting. A high-density current is formed in the local tissue, which promotes local high heat, thereby achieving two electrosurgical effects of cutting and coagulation. When using the smart electrosurgical knife, the operator only needs to use the closing instrument to hold the tissue firmly, and after starting the output, the system With the change of the impedance of the acting soft tissue, it will automatically and continuously output high-frequency energy until the closure is completed, and the operator does not need to manually control the energy output and stop, thereby reducing thermal damage during surgery, improving the quality of surgery and the strength of soft tissue welding and anastomosis.

However, in today's testing of smart electrosurgical units, the performance of the smart electrosurgical unit can generally only be evaluated by using some testers to detect the external parameters of the electrosurgical unit, such as measuring the output power, maximum voltage, peak current, etc. of the high-frequency electrosurgical unit. performance indicators, and there is no relevant test method to evaluate whether the smart electrosurgery can automatically adjust when the impedance of the soft tissue changes.

SUMMARY OF THE INVENTION

In view of this, in order to solve the above-mentioned technical problems, the purpose of the present invention is to provide a method and device for testing the performance of an intelligent electric knife which can effectively evaluate whether the intelligent electric knife can automatically adjust when the impedance changes.

The technical scheme adopted in the present invention is: a method for testing the performance of an intelligent electric knife, comprising the following steps:

obtaining a preset welding model, wherein the preset welding model includes the relationship between time, voltage and the first resistance value;

According to the first resistance value, obtain the position of the motion table corresponding to the first resistance value;

According to the position of the moving table, the simulation of the first resistance value is carried out through the access of several non-inductive resistors;

According to the simulation results, obtain the parameters corresponding to the smart electric knife;

According to the preset welding model and the parameters, the test results are obtained;

Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage.

Further, the step of obtaining the position of the motion table corresponding to the first resistance value according to the first resistance value is specifically:

Through the movement of the motion table, the position of the motion table corresponding to the first resistance value is obtained, wherein the first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor.

Further, in the step of simulating the first resistance value through the access of several non-inductive resistors according to the position of the moving table, the following steps are included:

Reconstruct the preset welding model;

Divide the reconstruction result according to the first resistance value and perform discretization processing to obtain the law of the first resistance value and time change;

According to the law and the position of the moving table, the simulation of the first resistance value is carried out;

The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor.

Further, in the step of simulating the first resistance value according to the law and the position of the moving table, the following steps are included:

According to the law and the position of the moving table, several position data are obtained, wherein each position data includes the position and time of the moving table;

Filter each location data according to time and preset change time;

According to the screening results, the moving position of the motion table is obtained;

Through the movement of the motion table in the moving position, the first resistance value corresponding to each moving position is obtained by simulation;

Wherein, the preset change time is the time for the motion stage to move in the adjacent non-inductive resistors.

Further, the step of screening each position data according to time and preset change time includes the following steps:

obtaining the first time of the first position data and the first difference of the second time of the second position data adjacent to the first position data;

When the first difference is greater than or equal to the preset change time, the second time is changed to the difference between the second time and the preset change time, and the changed second position data is used as the new first position data, return the first time of acquiring the first position data and the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest in the position data time;

When the first difference is less than the preset change time, exclude the second position data, re-acquire the second time of the second position data adjacent to the first time of the first position data, and return to the first time for obtaining the first position data time, and the step of the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest time in the position data;

The first time is the maximum time, the second time is the time adjacent to the size of the first time, and the location data includes the first location data and the second location data.

Further, the step of obtaining the parameters corresponding to the smart electric knife according to the simulation results is specifically:

Obtain the parameters corresponding to the smart electrosurgical knife under the condition of the first resistance value corresponding to each moving position obtained by simulation.

Further, the step of obtaining the test result according to the preset welding model and the parameters is specifically:

Compare the relationship curve between the parameter and the voltage and the first resistance value to obtain the similarity;

According to the similarity, the test results of the smart electric knife are obtained;

The relationship between the voltage and the first resistance value includes a corresponding change curve of the first resistance value when the voltage changes.

The present invention also provides a test device for the performance of an intelligent electric knife, including:

a first acquisition module, configured to acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and time change, and a relationship curve between voltage and time change;

a second acquisition module, configured to acquire the position of the motion table corresponding to the first resistance value according to the first resistance value;

The simulation module is used to simulate the first resistance value through the access of several non-inductive resistors according to the position of the motion table;

The third acquisition module is used to acquire the parameters corresponding to the smart electric knife according to the simulation result;

a test module for obtaining test results according to the preset welding model and the parameters;

Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage.

The present invention also provides a test device for the performance of an intelligent electric knife, including:

at least one processor;

at least one memory for storing at least one program;

When the at least one program is executed by the at least one processor, the at least one processor implements the method for testing the performance of the smart electric knife.

The present invention also provides a storage medium storing instructions executable by a processor, wherein the processor executes the method for testing the performance of the smart electric knife when the processor executes the instructions executable by the processor.

The beneficial effects of the present invention are: by obtaining a preset welding model, and obtaining the position of the motion table corresponding to the first resistance value according to the first resistance value, and according to the position of the motion table, performing the first Simulation of resistance value, that is to simulate the first resistance value through the resistance value change of the non-inductive resistor, and obtain the parameters corresponding to the smart electric knife according to the simulation results, and then obtain the test results according to the preset welding model and the parameters. ; That is, it is equivalent to simulating the impedance change of the smart electric knife when it actually acts on the soft tissue through the resistance change of the non-inductive resistance, so that the final test result can reflect the change of the parameters corresponding to the smart electric knife when the resistance value changes. The performance of the knife is accurately tested.

Description of drawings

Fig. 1 is the structural representation of the device of the present invention;

Fig. 2 is the structural block diagram of the apparatus of the present invention;

Fig. 3 is the step flow schematic diagram of the method of the present invention;

4 is a schematic diagram of a preset welding model;

Fig. 5 is the schematic diagram of the change of the first resistance value with time;

FIG. 6 is a diagram showing the relationship between the position of the moving table and the first resistance value.

Detailed ways

The present invention will be further explained and illustrated below in conjunction with the accompanying drawings and specific embodiments of the description. The step numbers in the embodiments of the present invention are set only for the convenience of elaboration, and the sequence between the steps is not limited, and the execution sequence of the steps in the embodiments can be performed according to the understanding of those skilled in the art Adaptive adjustment.

As shown in FIG. 1 , this embodiment provides a device for testing the performance of an intelligent electrosurgical knife, including a (biological soft tissue) impedance simulation device and an electrosurgical analyzer (not shown). The bipolar electrode of the welding tool on the (high frequency) smart electric knife (not shown) is connected to the impedance simulation device, and the electric knife analyzer is connected to any electrode of the welding tool of the smart electric knife and the impedance simulation device. The biological soft tissue impedance simulation device is used to simulate the impedance change of biological soft tissue. In this embodiment, it includes a controller (not shown), a stepping motor 1, a linear moving platform (including a ball screw 2 and a ball screw The moving table 3) which moves up, wherein the moving table includes electrodes with contact blocks for conducting non-inductive resistors, and a non-inductive resistor array (including several series-connected non-inductive resistors 4).

In this embodiment, the controller can perform data processing, and control the resistance value of the non-inductive resistor in the access circuit by programming the rotation of the stepping motor to guide the movement of the moving table (different moving table positions), so as to achieve no inductive resistance. The change in the impedance of the sense resistor array is equivalent to a variable resistor to simulate soft tissue impedance. Optionally, in this embodiment, the controller is programmed to control the stepper motor to control the movement distance of the motion table, so as to simulate the change of soft tissue impedance. Wherein, the controller may be a computer, and may further store a preset welding model (biological welding mathematical model).

In this embodiment, the non-inductive resistor array includes several non-inductive resistors, and the inductive reactance of the non-inductive resistors is small, which can prevent oscillation in high-frequency equipment, such as high-frequency smart electric knife, and reduce output power deviation and High frequency resonance voltage, so the impedance simulation device has the characteristics of no inductive reactance, good heat dissipation and anti-oscillation. In this embodiment, the non-inductive resistor is a RIG type high-power non-inductive glaze film resistor, in which a high-frequency porcelain tube with an aluminum content of more than 95% is used as the resistance substrate, and a high-voltage insulating and heat-dissipating paint is coated with high-voltage insulation and heat-dissipating paint. After drying, it is baked at high temperature. The coating produced has the characteristics of strong overload capacity, high temperature characteristics, excellent insulation and good heat dissipation.

Among them, the intelligent electric knife is connected with the impedance simulation device, and its output current and voltage can be adjusted according to the change of the impedance of the non-inductive resistance array. The electrosurgical analyzer can obtain the dynamic real-time power output curve of the smart electrosurgical unit according to the changes of current and voltage.

In this embodiment, the dynamic real-time power output curve of the smart electric knife is compared with the preset welding model to obtain the test result.

As shown in FIG. 2 , this embodiment further provides another device for testing the performance of an intelligent electric knife, including: a first acquisition module for acquiring a preset welding model, wherein the preset welding model includes a first resistance value and a time change The first relationship of , and the relationship curve between voltage and time;

a second acquisition module, configured to acquire the position of the motion table corresponding to the first resistance value according to the first resistance value;

The simulation module is used to simulate the first resistance value through the access of several non-inductive resistors according to the position of the motion table;

The third acquisition module is used to acquire the parameters corresponding to the smart electric knife according to the simulation result;

a test module for obtaining test results according to the preset welding model and the parameters;

Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage.

The contents in the above device embodiments are all applicable to the present device embodiments, the specific functions implemented by the present device embodiments are the same as the above device embodiments, and the beneficial effects achieved are also the same as those achieved by the above device embodiments.

As shown in Figure 3, the present embodiment also provides a method for testing the performance of an intelligent electrosurgical knife, comprising the following steps:

acquiring a preset welding model, wherein the preset welding model includes a first relationship between the first resistance value and time change, and a relationship curve between voltage and time change;

According to the first resistance value, obtain the position of the motion table corresponding to the first resistance value;

According to the position of the moving table, the simulation of the first resistance value is carried out through the access of several non-inductive resistors;

According to the simulation results, obtain the parameters corresponding to the smart electric knife;

According to the preset welding model and the parameters, the test results are obtained;

Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage.

In this embodiment, the reason for obtaining the preset welding model is: because high-frequency current has a series of physiological effects on biological soft tissue, including electrical stimulation, thermal effect, reversible electroporation of cell membranes, etc., and high-frequency electrosurgery mainly uses high-frequency current The thermal effect, the reversible electroporation effect of the cell membrane, and the prevention of electrical stimulation. Therefore, in order to achieve reliable soft tissue welding anastomosis and separation, it is necessary to ensure that the temperature of the welding process is controlled within the reversible thermal denaturation range of proteins according to the theory of biological welding. Therefore, it is necessary to obtain a preset welding model. The model is obtained through comprehensive analysis from histopathology, comparison of surgical effects of similar equipment, and in vitro and in vivo tests of animal soft tissues. The voltage U of a specific curve, the tissue impedance Z between the two poles of the welding tool of the smart electric knife shows a regular change (curve), as shown in Figure 4, the soft tissue applies a voltage U of a specific curve, the current passes through the soft tissue and heats, and the intercellular Liquids have a positive temperature coefficient of conductivity, so tissue impedance Z decreases with heating and reaches its minimum value _Zmin at time _t1 . Subsequently, the welded structure begins to solidify, resulting in an increase in impedance. When reaching the set value ΔZ (time t2), it begins to enter the stable phase. At this time, regardless of the thickness and physical properties of the welded structure, the temperature of the structure will not rise. When the time reaches _t3 , the tissue bond strength is large enough and the energy transfer stops. The impedance includes a first resistance value, that is, the preset welding model (biological welding mathematical model) includes the relationship between time, voltage and the first resistance value, wherein the relationship between time, voltage and the first resistance value includes When the voltage changes, the corresponding change curve of the first resistance value may also include other curves obtained by converting the relationship between the voltage and the first resistance value, which can reflect the relationship between the voltage and the first resistance value, such as the output power curve and many more. In this embodiment, the relationship between the voltage and the first resistance value is the change curve of the first resistance value Z corresponding to the specific change curve of the voltage U. The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor.

In this embodiment, the position of the motion table corresponding to the first resistance value is obtained according to the first resistance value, and according to the position of the motion table, the simulation of the first resistance value is performed through the access of several non-inductive resistors. including:

S1. Reconstruct the preset welding model, and divide and discretize the reconstruction result according to the first resistance value.

As shown in Figure 5, since the resistance value in the preset welding model changes continuously, and the impedance simulation device is formed by connecting several non-inductive resistors with constant resistance value in series, it can only change the resistance value in the preset welding model. The curve is subjected to step discretization processing, and further discretization processing is performed by the computer to obtain the coordinate data point set (t _i , zi _i ) of time and resistance value after discretization, that is, the law of the first resistance value and time change, where zi _i is the first resistance value, that is, an integer multiple of the resistance value z ₀ of a single non-inductive resistor;

S2. According to the first resistance value, obtain the position of the motion table corresponding to the first resistance value.

As shown in Figure 6, specifically: through the movement of the motion table, several non-inductive resistors are connected to each other to obtain all the first resistance values, and the position of the motion table at this time is respectively recorded, wherein x represents the moving distance of the motion table .

S3. According to the law and the position of the motion table, simulate the first resistance value. Specifically include:

S31, according to the law and the position of the moving table, obtain several position data, wherein each position data includes the position and time of the moving table;

To generate an image, the relationship between the position of the motion table on the impedance simulation device and the change of resistance value is a ladder diagram, and the end point is set as the conversion point, and then the resistance value data after discrete transformation of the preset welding model is converted into position data, that is, (t _i , z _i ) is transformed into (t _i , _xi ), (t _i , _xi ) is position data, where _xi is the position of the moving stage, and t _i is time.

S31. Screen each position data according to the time and the preset change time.

Specifically: acquiring the first time of the first position data and the first difference of the second time of the second position data adjacent to the first position data;

When the first difference is greater than or equal to the preset change time, the second time is changed to the difference between the second time and the preset change time, and the changed second position data is used as the new first position data, return the first time of acquiring the first position data and the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest in the position data time;

When the first difference is less than the preset change time, exclude the second position data, re-acquire the second time of the second position data adjacent to the first time of the first position data, and return to the first time for obtaining the first position data time, and the step of the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest time in the position data;

The first time is the maximum time, the second time is the time adjacent to the size of the first time, and the location data includes the first location data and the second location data. Set the time for the mobile station to complete one impedance change at the speed v as t ₀ , that is, the moving time (preset change time) between two (adjacent) non-inductive resistors, where the speed v can be set according to requirements.

For example, if the position data are A(20, 200), B(15, 150), C(10, 100), D(5, 50), then A is the first position data, B is the second position data, the first position The difference is 5. If t ₀ is 4, change B to (11, 150), and then use B (11, 150) as the new first position data. At this time, the adjacent second position data is C (10, 100), continue to follow the above processing method until the first time is the smallest time in the position data, that is, D(5, 50) is the new first position data at this time.

If t ₀ is 6 and the first difference is 5, then B is excluded. At this time, the adjacent second position data obtained again is C(10, 100), and the first difference is 10, then C is changed to C(4, 100), as the new first position data, repeat the above steps, and also the first time in the new first position data is the smallest time in the position data. Then get the filter result.

S32. Obtain the moving position of the motion table according to the screening result.

The moving position refers to the actual moving point coordinates of the stepper motor, that is, the actual moving position of the final moving stage.

S33 , obtain a first resistance value corresponding to each moving position by simulation through the movement of the motion table at the moving position.

Through programming, the controller controls the moving table to move at the moving position, thereby obtaining the first resistance value corresponding to the moving table at each moving position through simulation. It is equivalent to making the electrodes of the smart electric knife have a first resistance value.

S4. According to the simulation results, parameters corresponding to the smart electric knife are obtained.

The electrode of the intelligent electrosurgical welding tool is connected to the impedance simulation device, the electrosurgical analyzer is connected to the intelligent electrosurgical unit, and the electrode has a simulated first resistance value. At this time, the electrosurgical analyzer obtains the intelligent electrosurgical unit at each first resistance value The current, voltage and output power are equivalent to simulating the change of the first resistance value through the impedance simulation device, and in turn testing the current/voltage change of the access, and then the dynamic real-time output power can be calculated through the current/voltage and impedance, and Compare with the preset welding model to judge the similarity, so as to detect whether the smart electric knife can intelligently adjust the power output according to the impedance change.

Specifically: compare the parameter and the relationship curve between the voltage and the first resistance value, optionally, the parameters also include current and output power; compare the relationship curve between the parameter and the voltage and the first resistance value Compare and obtain the similarity, wherein the similarity and the corresponding test results include: 1) The relationship curve and parameters are roughly the same, and the test result is that the smart electric knife has the function of intelligent adjustment output; 2) If the line type of the parameter and the relationship curve The line types are roughly the same, but the values are different. The test result is that the smart generator has a certain function of intelligently adjusting the output, but the output power has not yet reached the optimum; 3) If the line types and values of the parameters are different, the test result is that the smart generator The knife does not have the intelligent output function.

Wherein, for the comparison of similarity, a power curve corresponding to the first resistance value and the voltage can be obtained according to the preset welding model, and the power curve is compared with the curve composed of the output power in the parameters, thereby obtaining the test result.

Among them, the relationship curve and the parameter similarity, the similarity of the line type, and the difference degree of the numerical value can all be judged by, for example, setting a threshold. The method is used to judge and obtain the test result, which is not limited.

The contents in the above apparatus embodiments are all applicable to the present method embodiments, the specific functions implemented by the present method embodiments are the same as the above apparatus embodiments, and the beneficial effects achieved are also the same as those achieved by the above apparatus embodiments.

The embodiment of the present invention also provides a test device for the performance of an intelligent electric knife, including:

at least one processor;

at least one memory for storing at least one program;

When the at least one program is executed by the at least one processor, the at least one processor implements the method for testing the performance of the smart electric knife.

The contents in the above method embodiments are all applicable to the present device embodiments, the specific functions implemented by the present device embodiments are the same as the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above device embodiments.

To sum up, compared with the prior art, the present invention has the following advantages:

1) Simulate the impedance change of the smart electric knife when it actually acts on the soft tissue through the resistance change of the non-inductive resistance, so that the final test result can reflect the corresponding parameter change of the smart electric knife when the resistance value changes, so as to improve the performance of the smart electric knife. Accurately test the performance, and solve the problem that the intelligent electric knife cannot be detected intelligently for power changes in the prior art;

2) The impedance simulation device has the characteristics of no inductive reactance, good heat dissipation and anti-oscillation. It can intelligently change its own impedance according to the programming program, and combined with the electrosurgical analyzer, it can conduct real-time monitoring of the output power and other parameters of the high-frequency smart electrosurgical unit. detection.

In some alternative embodiments, the embodiments presented and described in the steps of the present invention are provided by way of example in order to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of the various operations are altered and in which sub-operations described as part of larger operations are performed independently.

Furthermore, while the invention is described in the context of functional modules, it is to be understood that, unless stated to the contrary, one or more of the described functions and/or features may be integrated in a single physical device and/or or software modules, or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to understand the present invention. Rather, given the attributes, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of such modules will be within the routine skill of the engineer. Accordingly, those skilled in the art, using ordinary skill, can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are illustrative only and are not intended to limit the scope of the invention, which is to be determined by the appended claims along with their full scope of equivalents.

An embodiment of the present invention further provides a storage medium storing instructions executable by a processor, and the processor executes the method for testing the performance of the smart electric knife when the processor executes the instructions executable by the processor.

It can also be seen that the contents in the foregoing method embodiments are all applicable to this storage medium embodiment, and the realized functions and beneficial effects are the same as those of the method embodiments.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

The steps in the embodiments represent logic and/or steps that are otherwise described herein, for example, may be considered an ordered listing of executable instructions for implementing the logical functions, and may be embodied in any computer-readable medium , for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, device or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or apparatus.

More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wiring (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), Read Only Memory (ROM), Erasable Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, followed by editing, interpretation, or other suitable medium as necessary process to obtain the program electronically and then store it in computer memory.

In the description of this specification, description with reference to the terms "one embodiment," "this embodiment," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the described embodiments, and those skilled in the art can also make various equivalent deformations or replacements without departing from the spirit of the present invention, These equivalent modifications or substitutions are all included within the scope defined by the claims of the present application.

Claims (10)

1. the test method of intelligent electric knife performance, is characterized in that, comprises the following steps: obtaining a preset welding model, wherein the preset welding model includes the relationship between time, voltage and the first resistance value; According to the first resistance value, obtain the position of the motion table corresponding to the first resistance value; According to the position of the moving table, the simulation of the first resistance value is carried out through the access of several non-inductive resistors; According to the simulation results, obtain the parameters corresponding to the smart electric knife; According to the preset welding model and the parameters, the test results are obtained; Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage. 2. The method for testing the performance of an intelligent electrosurgical knife according to claim 1, wherein the step of obtaining the position of the motion table corresponding to the first resistance value according to the first resistance value is specifically: Through the movement of the motion table, the position of the motion table corresponding to the first resistance value is obtained, wherein the first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor. 3. The method for testing the performance of an intelligent electrosurgical knife according to claim 1, characterized in that: in the step of carrying out the simulation of the first resistance value through the access of several non-inductive resistors according to the position of the moving table, the method comprises the following steps: step: Reconstruct the preset welding model; Divide the reconstruction result according to the first resistance value and perform discretization processing to obtain the law of the first resistance value and time change; According to the law and the position of the moving table, the simulation of the first resistance value is carried out; The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor. 4. The method for testing the performance of an intelligent electrosurgical knife according to claim 3, wherein the step of carrying out the simulation of the first resistance value according to the law and the position of the moving table, comprises the following steps: According to the law and the position of the moving table, several position data are obtained, wherein each position data includes the position and time of the moving table; Filter each location data according to time and preset change time; According to the screening results, the moving position of the motion table is obtained; Through the movement of the motion table in the moving position, the first resistance value corresponding to each moving position is obtained by simulation; Wherein, the preset change time is the time for the motion stage to move in the adjacent non-inductive resistors. 5. The method for testing the performance of an intelligent electric knife according to claim 4, wherein the step of screening each position data according to time and preset change time, comprises the following steps: obtaining the first time of the first position data and the first difference of the second time of the second position data adjacent to the first position data; When the first difference is greater than or equal to the preset change time, the second time is changed to the difference between the second time and the preset change time, and the changed second position data is used as the new first position data, return the first time of acquiring the first position data and the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest in the position data time; When the first difference is less than the preset change time, exclude the second position data, re-acquire the second time of the second position data adjacent to the first time of the first position data, and return to the first time for obtaining the first position data time, and the step of the first difference of the second time of the second position data adjacent to the first position data, until the first time is the smallest time in the position data; The first time is the maximum time, the second time is the time adjacent to the size of the first time, and the location data includes the first location data and the second location data. 6. The method for testing the performance of the intelligent electric knife according to claim 4, wherein the step of obtaining the corresponding parameter of the intelligent electric knife according to the simulation result is specifically: Obtain the parameters corresponding to the smart electrosurgical knife under the condition of the first resistance value corresponding to each moving position obtained by simulation. 7. The method for testing the performance of the smart electric knife according to claim 1, wherein the step of obtaining the test result according to the preset welding model and the parameter is specifically: Compare the relationship curve between the parameter and the voltage and the first resistance value to obtain the similarity; According to the similarity, the test results of the smart electric knife are obtained; The relationship between the voltage and the first resistance value includes a corresponding change curve of the first resistance value when the voltage changes. 8. A test device for the performance of an intelligent electric knife, characterized in that it includes: a first acquisition module, configured to acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and time change, and a relationship curve between voltage and time change; a second acquisition module, configured to acquire the position of the motion table corresponding to the first resistance value according to the first resistance value; The simulation module is used to simulate the first resistance value through the access of several non-inductive resistors according to the position of the motion table; The third acquisition module is used to acquire the parameters corresponding to the smart electric knife according to the simulation result; a test module for obtaining test results according to the preset welding model and the parameters; Wherein, the position of the moving table includes the position where the moving table is located when a plurality of non-inductive resistors are connected and turned on, and the parameter includes a voltage. 9. A test device for the performance of an intelligent electric knife, characterized in that it includes: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method for testing the performance of the smart electric knife according to any one of claims 1-7. 10 . A storage medium storing processor-executable instructions, wherein: when the processor executes the processor-executable instructions, the method for testing the performance of an intelligent electrosurgical knife according to any one of claims 1 to 7 is performed. 11 .

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