Intelligent electric knife performance testing method and device

Abstract

The present invention discloses a method and device for testing the performance of an intelligent electric knife, the method comprising the following steps: obtaining a preset welding model; obtaining a moving table position corresponding to the first resistance value according to a first resistance value; simulating the first resistance value by connecting a number of non-inductive resistors according to the moving table position; obtaining parameters corresponding to the intelligent electric knife according to the simulation result; obtaining test results according to the preset welding model and the parameters; wherein the moving table position includes a position where the movable moving table is located when the number of non-inductive resistors are connected and turned on, and the parameters include voltage. The present invention simulates the impedance change when the intelligent electric knife actually acts on soft tissue by changing the resistance value of the non-inductive resistor, so that the final test result can reflect the parameter change corresponding to the intelligent electric knife when the resistance value changes, so as to accurately test the performance of the intelligent electric knife. The present invention can be widely used in the field of high-frequency instrument testing technology.

Description

Technical Field

[0001] The invention relates to the field of high-frequency instrument testing, and in particular to a method and device for testing the performance of an intelligent electric knife. Background Art

[0002] The intelligent 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. It sends high-frequency current into the human body through electrodes (to form high-density current in the local tissue under the electrosurgical pen, thereby promoting local high heat generation, thereby achieving two electrosurgical effects of cutting and coagulation. When using the intelligent electrosurgical knife, the operator only needs to clamp the tissue firmly with a closing device. After starting the output, the system will automatically and continuously output high-frequency energy until the closure is completed as the impedance of the soft tissue changes. The operator does not need to manually control the energy output and stop, thereby reducing thermal damage during the operation and improving the quality of the operation and the strength of the soft tissue welding anastomosis.

[0003] However, in today's testing of smart electrosurgical units, the performance of smart electrosurgical units can generally only be evaluated by using some testers to detect the external parameters of the electrosurgical units, such as measuring the output power, maximum voltage, peak current and other performance indicators of high-frequency electrosurgical units. However, there is no relevant testing method to evaluate whether the smart electrosurgical units can automatically adjust when the impedance of the soft tissue changes. Summary of the invention

[0004] In view of this, in order to solve the above technical problems, the purpose of the present invention is to provide a testing method and device for the performance of an intelligent electric knife, which can effectively evaluate whether the intelligent electric knife can automatically adjust when the impedance changes.

[0005] The technical solution adopted by the present invention is: a method for testing the performance of an intelligent electric knife, comprising the following steps:

[0006] Obtaining a preset welding model, wherein the preset welding model includes a relationship between time, voltage and a first resistance value;

[0007] According to the first resistance value, obtaining a position of the moving platform corresponding to the first resistance value;

[0008] According to the position of the motion platform, a first resistance value is simulated by connecting a plurality of non-inductive resistors;

[0009] According to the simulation results, the corresponding parameters of the intelligent electric knife are obtained;

[0010] According to the preset welding model and the parameters, a test result is obtained;

[0011] The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage.

[0012] Further, the step of obtaining the position of the moving platform corresponding to the first resistance value according to the first resistance value is specifically as follows:

[0013] By moving the moving stage, a position of the moving stage corresponding to a first resistance value is obtained, wherein the first resistance value includes a resistance value that is an integer multiple of a resistance value of a single non-inductive resistor.

[0014] Furthermore, the step of simulating the first resistance value by connecting a plurality of non-inductive resistors according to the position of the moving platform includes the following steps:

[0015] Reconstruct the preset welding model;

[0016] Dividing and discretizing the reconstruction result according to the first resistance value to obtain a law of change of the first resistance value and time;

[0017] According to the rule and the position of the motion table, a simulation of the first resistance value is performed;

[0018] The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor.

[0019] Further, the step of simulating the first resistance value according to the rule and the position of the moving table includes the following steps:

[0020] According to the rule and the position of the motion platform, a plurality of position data are obtained, wherein each position data includes the position of the motion platform and time;

[0021] Filter each location data according to the time and preset change time;

[0022] According to the screening results, the moving position of the motion platform is obtained;

[0023] By moving the moving platform at the moving position, a first resistance value corresponding to each moving position is simulated;

[0024] The preset change time is the time it takes for the motion platform to move between adjacent non-inductive resistors.

[0025] Furthermore, the step of screening each location data according to the time and the preset change time includes the following steps:

[0026] Acquire a first time of first position data and a first difference between a second time of second position data adjacent to the first position data;

[0027] 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, and the step of returning to obtain 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 is returned until the first time is the smallest time in the position data;

[0028] When the first difference is less than the preset change time, the second position data is excluded, the second time of the second position data adjacent to the first time of the first position data is re-acquired, and the step of returning to the step of 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 is returned until the first time is the smallest time in the position data;

[0029] The first time is the largest time, the second time is the time adjacent to the first time, and the position data includes the first position data and the second position data.

[0030] Furthermore, the step of obtaining the parameters corresponding to the intelligent electric knife according to the simulation results is specifically as follows:

[0031] Obtain parameters corresponding to the intelligent electric knife under the first resistance value condition corresponding to each moving position obtained by simulation.

[0032] Further, the step of obtaining the test result according to the preset welding model and the parameters is specifically as follows:

[0033] Comparing the relationship curves between the parameter and the voltage and the first resistance value to obtain similarity;

[0034] According to the similarity, the test results of the intelligent electric knife are obtained;

[0035] The relationship between the voltage and the first resistance includes a change curve of the first resistance corresponding to a change in the voltage.

[0036] The present invention also provides a device for testing the performance of an intelligent electric knife, comprising:

[0037] A first acquisition module, used to acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and a time change, and a relationship curve between a voltage and a time change;

[0038] A second acquisition module, used for acquiring a position of the moving platform corresponding to the first resistance value according to the first resistance value;

[0039] A simulation module, used for simulating a first resistance value by connecting a plurality of non-inductive resistors according to the position of the motion platform;

[0040] The third acquisition module is used to obtain the parameters corresponding to the intelligent electric knife according to the simulation results;

[0041] A test module, used to obtain test results according to a preset welding model and the parameters;

[0042] The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage.

[0043] The present invention also provides a device for testing the performance of an intelligent electric knife, comprising:

[0044] at least one processor;

[0045] At least one memory for storing at least one program;

[0046] 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 intelligent electric knife.

[0047] The present invention also provides a storage medium storing instructions executable by a processor, characterized in that: when the processor executes the instructions executable by the processor, the method for testing the performance of the intelligent electric knife is executed.

[0048] The beneficial effects of the present invention are as follows: by obtaining a preset welding model, and according to the first resistance value, the position of the moving table corresponding to the first resistance value is obtained, and according to the position of the moving table, the first resistance value is simulated by connecting a plurality of non-inductive resistors, that is, the first resistance value is simulated by the resistance change of the non-inductive resistor, and according to the simulation result, the parameters corresponding to the intelligent electric knife are obtained, and then the test results are obtained according to the preset welding model and the parameters; that is, it is equivalent to simulating the impedance change when the intelligent electric knife actually acts on the soft tissue through the resistance change of the non-inductive resistor, so that the final test result can reflect the parameter change corresponding to the intelligent electric knife when the resistance value changes, so as to accurately test the performance of the intelligent electric knife. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural schematic diagram of the device of the present invention;

[0050] Figure 2 It is a structural block diagram of the device of the present invention;

[0051] Figure 3 Schematic diagram of the steps of the method of the present invention;

[0052] Figure 4 It is a schematic diagram of the preset welding model;

[0053] Figure 5 is a schematic diagram of the first resistance value changing with time;

[0054] Figure 6 Graph showing the relationship between the position of the moving platform and the first resistance value. DETAILED DESCRIPTION

[0055] The present invention is further explained and illustrated below in conjunction with the accompanying drawings and specific embodiments of the specification. The step numbers in the embodiments of the present invention are only provided for the convenience of explanation and description, and no limitation is imposed on the order of the steps. The execution order of the steps in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0056] like Figure 1 As shown, this embodiment provides a test device for the performance of an intelligent electric knife, including a (biological soft tissue) impedance simulator and an electric knife analyzer (not shown). The bipolar electrode of the welding tool on the (high-frequency) intelligent electric knife (not shown) is connected to the impedance simulator, and the electric knife analyzer is connected to any electrode of the welding tool of the intelligent electric knife and the impedance simulator. The biological soft tissue impedance simulator is used to simulate the impedance change of biological soft tissue, and in this embodiment includes a controller (not shown), a stepper motor 1, a linear moving platform (including a ball screw 2 and a moving table 3 that can move on the ball screw), wherein the moving table includes a contact block for conducting the electrode of the non-inductive resistor, and a non-inductive resistor array (including a plurality of non-inductive resistors 4 connected in series).

[0057] In this embodiment, the controller can process data and control the resistance value of the non-inductive resistor in the access circuit by programming and controlling the rotation of the stepper motor to guide the movement of the motion stage (different motion stage positions), so as to realize the change of the impedance of the non-inductive resistor array, which is equivalent to a variable resistor to simulate the soft tissue impedance. Optionally, in this embodiment, the controller can program and control the stepper motor to control the movement distance of the motion stage to realize the simulation of the change of soft tissue impedance. The controller can be a computer, and can further store a preset welding model (biological welding mathematical model).

[0058] In this embodiment, the non-inductive resistor array includes a plurality of non-inductive resistors, and the inductive reactance of the non-inductive resistor is small, which can prevent oscillation in high-frequency equipment, such as high-frequency intelligent electric knife, and reduce the output power deviation and high-frequency resonant voltage. Therefore, the impedance simulation device has the characteristics of no inductive reactance, good heat dissipation and anti-oscillation. In this embodiment, the non-inductive resistor uses 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 resistor matrix, and a coating made of high-voltage insulating heat dissipation paint is applied after air drying and high-temperature baking, which has the characteristics of strong overload capacity, high temperature characteristics, excellent insulation, good heat dissipation, etc.

[0059] The intelligent electrosurgical knife is connected to an impedance simulation device and can adjust its output current and voltage according to the change of the impedance of the non-inductive resistor array. The electrosurgical knife analyzer can obtain the dynamic real-time power output curve of the intelligent electrosurgical knife according to the change of current and voltage.

[0060] In this embodiment, the dynamic real-time power output curve of the intelligent electric knife is compared with the preset welding model to obtain the test result.

[0061] like Figure 2 As shown, this embodiment also provides another device for testing the performance of an intelligent electric knife, including: a first acquisition module, used to acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and a time change, and a relationship curve between a voltage and a time change;

[0062] A second acquisition module, used for acquiring a position of the moving platform corresponding to the first resistance value according to the first resistance value;

[0063] A simulation module, used for simulating a first resistance value by connecting a plurality of non-inductive resistors according to the position of the motion platform;

[0064] The third acquisition module is used to obtain the parameters corresponding to the intelligent electric knife according to the simulation results;

[0065] A test module, used to obtain test results according to a preset welding model and the parameters;

[0066] The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage.

[0067] The contents of the above-mentioned device embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above-mentioned device embodiments, and the beneficial effects achieved are also the same as those achieved by the above-mentioned device embodiments.

[0068] like Figure 3 As shown, this embodiment also provides a method for testing the performance of an intelligent electric knife, comprising the following steps:

[0069] Acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and a time change, and a relationship curve between a voltage and a time change;

[0070] According to the first resistance value, obtaining a position of the moving platform corresponding to the first resistance value;

[0071] According to the position of the motion platform, a first resistance value is simulated by connecting a plurality of non-inductive resistors;

[0072] According to the simulation results, the corresponding parameters of the intelligent electric knife are obtained;

[0073] According to the preset welding model and the parameters, a test result is obtained;

[0074] The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage.

[0075] In this embodiment, the reason for obtaining a preset welding model is that high-frequency current has a series of physiological effects on biological soft tissues, including electrical stimulation, thermal effect, reversible electroporation of cell membranes, etc., and high-frequency electric knives mainly use the thermal effect of high-frequency current and the reversible electroporation effect of cell membranes to prevent electrical stimulation. Therefore, in order to achieve reliable soft tissue welding and separation, it is necessary to ensure that the temperature of the welding process is controlled within the reversible thermal denaturation range of the protein based on the biological welding theory. Therefore, it is necessary to obtain a preset welding model, which is obtained through comprehensive analysis from aspects such as tissue pathology, comparison of surgical effects of similar equipment, and in vitro and in vivo experiments on soft tissues of animals. It reveals that when the soft tissue of an organism is subjected to thermal stimulation, a voltage U of a specific curve is applied to the soft tissue, and the tissue impedance Z between the two poles of the welding tool of the intelligent electric knife shows a regular change (curve), such as Figure 4 As shown, a voltage U with a specific curve is applied to the soft tissue, and the current passes through the soft tissue and heats it. The intercellular fluid has a positive temperature coefficient of conductivity, so as the tissue is heated, the impedance Z decreases and reaches its minimum value Z at time t1. min . Subsequently, the welding tissue begins to solidify, resulting in an increase in impedance. When the set value ΔZ (time t2) is reached, it begins to enter the stable stage. At this time, regardless of the thickness and physical properties of the welding tissue, the temperature of the tissue will not rise. When the time reaches t3, the tissue bonding strength is large enough and the energy transfer stops. Among them, 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 a change curve of the first resistance value corresponding to the change of voltage, and may also include other curves that can reflect the relationship between voltage and the first resistance value by converting the relationship between voltage and the first resistance value, such as an output power curve, etc. In this embodiment, the relationship between voltage and the first resistance value is the change curve of the first resistance value Z corresponding to the specific change curve of voltage U. Among them, the first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor.

[0076] In this embodiment, according to the first resistance value, the position of the moving platform corresponding to the first resistance value is obtained, and according to the position of the moving platform, the step of simulating the first resistance value by connecting a plurality of non-inductive resistors specifically includes:

[0077] S1. Reconstruct a preset welding model, divide the reconstruction result according to the first resistance value and perform discretization processing.

[0078] like Figure 5 As shown in the figure, since the resistance value in the preset welding model changes continuously, and the impedance simulation device is composed of several non-inductive resistors with fixed resistance values ​​connected in series, the resistance change curve in the preset welding model can only be processed by step discretization, and further discretized by computer to obtain the coordinate data point set of time and resistance value after discretization (t i , z i ), that is, the law of the change of the first resistance value with time, where z i is the first resistance, i.e., an integer multiple of the resistance z0 of a single non-inductive resistor;

[0079] S2. According to the first resistance value, obtain a position of the moving platform corresponding to the first resistance value.

[0080] like Figure 6 As shown, specifically: through the movement of the moving stage, a number of non-inductive resistors are connected and turned on to obtain all first resistance values, and the position of the moving stage at this time is recorded respectively, wherein x represents the moving distance of the moving stage.

[0081] S3, according to the rule and the position of the motion table, simulate the first resistance value. Specifically including:

[0082] S31, according to the rule and the position of the motion platform, obtain a number of position data, wherein each position data includes the position and time of the motion platform;

[0083] Generate an image. The relationship between the position of the moving table on the impedance simulation device and the change of resistance is a step diagram. Set the end point as the transformation point, and then transform the resistance data of the preset welding model after discrete transformation into position data, that is, (t i , z i ) conversion (t i , x i ), (t i , x i ) is the position data, where x i is the position of the motion platform, t i For time.

[0084] S31. Filter each location data according to the time and the preset change time.

[0085] Specifically: obtaining a first time of first position data and a first difference between a second time of second position data adjacent to the first position data;

[0086] 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, and the step of returning to obtain 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 is returned until the first time is the smallest time in the position data;

[0087] When the first difference is less than the preset change time, the second position data is excluded, the second time of the second position data adjacent to the first time of the first position data is re-acquired, and the step of returning to the step of 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 is returned until the first time is the smallest time in the position data;

[0088] The first time is the maximum time, the second time is the time adjacent to the first time, and the position data includes the first position data and the second position data. The time for the mobile station to complete an impedance change at a speed v is set to t0, that is, the moving time between two (adjacent) non-inductive resistors (preset change time), wherein the speed v can be set according to demand.

[0089] For example, the position data are A(20, 200), B(15, 150), C(10, 100), and D(5, 50), then A is the first position data, B is the second position data, and the first difference is 5. If t0 is 4, B is changed to (11, 150), and then B(11, 150) is used as the new first position data. At this time, the adjacent second position data is C(10, 100). Continue with 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.

[0090] If t0 is 6 and the first difference is 5, then B is excluded. At this time, the adjacent second position data reacquired is C(10, 100), and the first difference is 10, so C is changed to C(4, 100) as the new first position data, and the above steps are repeated. Similarly, the first time in the new first position data is the minimum time in the position data. Then the screening result is obtained.

[0091] S32. Obtain the moving position of the motion platform according to the screening result.

[0092] The moving position refers to the actual moving position coordinates of the stepper motor, that is, the actual moving position of the final motion platform.

[0093] S33, by moving the moving platform at the moving position, simulate and obtain the first resistance value corresponding to each moving position.

[0094] Through programming, the controller controls the moving platform to move at the moving position, thereby simulating and obtaining the first resistance value corresponding to each moving position of the moving platform, which is equivalent to making the electrode of the intelligent electric knife have the first resistance value.

[0095] S4. According to the simulation results, the corresponding parameters of the intelligent electric knife are obtained.

[0096] The electrode of the intelligent electric knife welding tool is connected to the impedance simulation device, and the electric knife analyzer is connected to the intelligent electric knife. The electrode has a simulated first resistance value. At this time, the electric knife analyzer obtains the current, voltage and output power of the intelligent electric knife at each first resistance value, which is equivalent to simulating the change of the first resistance value through the impedance simulation device, and in turn testing the connected current / voltage change. Then, the dynamic and real-time output power can be calculated through the current / voltage and impedance, and compared with the preset welding model to judge the similarity, so as to detect whether the intelligent electric knife can intelligently adjust the power output according to the impedance change.

[0097] Specifically: the parameters and the relationship curves between the voltage and the first resistance are compared, and optionally, the parameters also include current and output power; the parameters and the relationship curves between the voltage and the first resistance are compared to obtain similarity, wherein the similarity and the corresponding test results include: 1) the relationship curve and the parameter are roughly the same, and the test result is that the intelligent electric knife has an intelligent output adjustment function; 2) if the line type of the parameter is roughly the same as the line type of the relationship curve, but the value is different, the test result is that the intelligent electric knife has a certain intelligent output adjustment function, but the output power is still not optimal; 3) if the line type and value of the parameter are different, the test result is that the intelligent electric knife does not have an intelligent output function.

[0098] Among them, the similarity comparison can also be carried out by first obtaining the corresponding power curve of the first resistance and voltage according to the preset welding model, and comparing the power curve with the curve composed of the output power in the parameters, thereby obtaining the test result.

[0099] Among them, the similarity between the relationship curve and the parameter, the similarity of the line type, and the degree of difference in the numerical values ​​can all be judged by, for example, setting a threshold. In other embodiments, they can also be judged manually, or by combining manual and computer methods to obtain test results, without limitation.

[0100] The contents of the above-mentioned device embodiments are all applicable to the present method embodiments. The functions specifically implemented by the present method embodiments are the same as those of the above-mentioned device embodiments, and the beneficial effects achieved are also the same as those achieved by the above-mentioned device embodiments.

[0101] The embodiment of the present invention also provides a device for testing the performance of an intelligent electric knife, including:

[0102] at least one processor;

[0103] At least one memory for storing at least one program;

[0104] 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 intelligent electric knife.

[0105] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above device embodiments.

[0106] In summary, compared with the prior art, the present invention has the following advantages:

[0107] 1) The impedance change when the smart electric knife actually acts on the soft tissue is simulated by changing the resistance value of the non-inductive resistor, so that the final test result can reflect the parameter change corresponding to the smart electric knife when the resistance value changes, so as to accurately test the performance of the smart electric knife and solve the problem that the smart electric knife cannot detect the intelligent power change in the prior art;

[0108] 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 knife analyzer, it can perform real-time detection of parameters such as the output power of the high-frequency intelligent electrosurgical knife.

[0109] In some optional embodiments, the embodiments presented and described in the steps of the present invention are provided by way of example, with the purpose of providing a more comprehensive understanding of the technology. The disclosed method is not limited to the operations and logical flows presented herein. Optional embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of a larger operation are performed independently.

[0110] In addition, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features described may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in separate physical devices or software modules. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present invention. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional skills of the engineer. Therefore, those skilled in the art can implement the present invention set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0111] An embodiment of the present invention further provides a storage medium storing instructions executable by a processor, and the method for testing the performance of the intelligent electric knife is executed when the processor executes the instructions executable by the processor.

[0112] It can also be seen that the contents in the above method embodiments are all applicable to the present storage medium embodiments, and the functions and beneficial effects achieved are the same as those in the method embodiments.

[0113] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0114] The logic and / or steps represented in the embodiments or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses.

[0115] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0116] In the description of this specification, the description with reference to the terms "one embodiment", "this embodiment", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0117] 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. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A method for testing the performance of an intelligent electric knife, characterized in that: The following steps are involved: Obtaining a preset welding model, wherein the preset welding model includes a relationship between time, voltage and a first resistance value; According to the first resistance value, obtaining a position of the moving platform corresponding to the first resistance value; According to the position of the motion platform, a first resistance value is simulated by connecting a plurality of non-inductive resistors; According to the simulation results, the corresponding parameters of the intelligent electric knife are obtained; According to the preset welding model and the parameters, a test result is obtained; The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage; The step of simulating the first resistance value by connecting a plurality of non-inductive resistors according to the position of the moving platform includes the following steps: Reconstruct the preset welding model; Dividing and discretizing the reconstruction result according to the first resistance value to obtain a law of change of the first resistance value and time; According to the rule and the position of the motion table, a simulation of the first resistance value is performed; The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor; The step of obtaining the test results according to the preset welding model and the parameters is specifically as follows: Comparing the relationship curves between the parameter and the voltage and the first resistance value to obtain similarity; According to the similarity, the test results of the intelligent electric knife are obtained; The relationship between the voltage and the first resistance includes a change curve of the first resistance corresponding to a change in the voltage.

2. The method for testing the performance of an intelligent electric knife according to claim 1, characterized in that: The step of obtaining the position of the moving platform corresponding to the first resistance value according to the first resistance value is specifically as follows: By moving the moving stage, a position of the moving stage corresponding to a first resistance value is obtained, wherein the first resistance value includes a resistance value that is an integer multiple of a resistance value of a single non-inductive resistor.

3. The method for testing the performance of an intelligent electric knife according to claim 1, characterized in that: The step of simulating the first resistance value according to the rule and the position of the moving table includes the following steps: According to the rule and the position of the motion platform, a plurality of position data are obtained, wherein each position data includes the position of the motion platform and time; Filter each location data according to the time and preset change time; According to the screening results, the moving position of the motion platform is obtained; By moving the moving platform at the moving position, a first resistance value corresponding to each moving position is simulated; The preset change time is the time it takes for the motion platform to move between adjacent non-inductive resistors.

4. The method for testing the performance of an intelligent electric knife according to claim 3, characterized in that: The step of screening each location data according to the time and the preset change time includes the following steps: Acquire a first time of first position data and a first difference between a second time of 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, and the step of returning to obtain 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 is returned until the first time is the smallest time in the position data; When the first difference is less than the preset change time, the second position data is excluded, the second time of the second position data adjacent to the first time of the first position data is re-acquired, and the step of returning to the step of 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 is returned until the first time is the smallest time in the position data; The first time is the largest time, the second time is the time adjacent to the first time, and the position data includes the first position data and the second position data.

5. The method for testing the performance of an intelligent electric knife according to claim 3, characterized in that: The step of obtaining the parameters corresponding to the intelligent electric knife according to the simulation results is specifically as follows: Obtain parameters corresponding to the intelligent electric knife under the first resistance value condition corresponding to each moving position obtained by simulation.

6. A device for testing the performance of an intelligent electric knife, characterized in that: include: A first acquisition module, used to acquire a preset welding model, wherein the preset welding model includes a first relationship between a first resistance value and a time change, and a relationship curve between a voltage and a time change; A second acquisition module, used for acquiring a position of the moving platform corresponding to the first resistance value according to the first resistance value; A simulation module, used for simulating a first resistance value by connecting a plurality of non-inductive resistors according to the position of the motion platform; The third acquisition module is used to obtain the parameters corresponding to the intelligent electric knife according to the simulation results; A test module, used to obtain test results according to a preset welding model and the parameters; The position of the moving platform includes the position of the moving platform that is movable when a plurality of non-inductive resistors are connected and turned on, and the parameters include voltage; Among them, the simulation module is specifically used for: Reconstruct the preset welding model; Dividing and discretizing the reconstruction result according to the first resistance value to obtain a law of change of the first resistance value and time; According to the rule and the position of the motion table, a simulation of the first resistance value is performed; The first resistance value includes a resistance value that is an integer multiple of the resistance value of a single non-inductive resistor; The test module is specifically used for: Comparing the relationship curves between the parameter and the voltage and the first resistance value to obtain similarity; According to the similarity, the test results of the intelligent electric knife are obtained; The relationship between the voltage and the first resistance includes a change curve of the first resistance corresponding to a change in the voltage.

7. A device for testing the performance of an intelligent electric knife, characterized in that: include: 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 intelligent electric knife as described in any one of claims 1-5.

8. A storage medium storing instructions executable by a processor, characterized in that: When the processor executes the processor-executable instructions, the method for testing the performance of the intelligent electric knife as described in any one of claims 1-5 is performed.

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