Method for determining induced potential and method for determining sliding time

Abstract

The present application provides a method for determining an induced potential and a method for determining a coasting duration, the method being used to determine the induced potential of a stator winding of a motor, the method comprising: in response to an induced potential analysis request, gridding the stator winding, determining a target grid group and characteristic attributes of the target grid group, any target grid group comprising at least one grid; based on the characteristic attributes of the target grid group, determining a target grid and characteristic data of the target grid; based on the characteristic data of the target grid, according to a preset induced potential determination rule, efficiently and accurately acquiring the induced potential of the stator winding of the motor.

Description

Technical Field

[0001] The present application relates to the field of motor technology, and in particular to a method for determining an induced potential and a method for determining a coasting duration. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the application that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

[0003] A motor is an electromagnetic device that realizes the conversion or transmission of electric energy according to the law of electromagnetic induction. During the operation of the motor, it will inevitably generate noise and heat. The generation of noise is often accompanied by factors that directly affect the induced potential of the motor, such as rotor eccentricity, loose or damaged windings, and electromagnetic incompatibility; the generation of heat is often accompanied by factors that affect the induced potential of the motor, such as the reduction of the effective voltage of the stator winding, the fluctuation of the magnetic permeability of other magnetic materials such as the iron core in the motor, the change of the inductance and mutual inductance of the windings, and the deterioration of the symmetry and stability of the rotating magnetic field; that is, noise is a dominant factor in the change of the magnetic field distribution inside the motor, and heat affects the electrical, magnetic and mechanical properties inside the motor. Both noise and heat are related to the size and quality of the induced potential.

[0004] However, in the prior art, since noise and heat do not have a direct impact on the induced potential of the motor, noise and heat are not considered as important influencing factors in the process of obtaining the induced potential of the motor. However, for some high-tech application scenarios, a slight change in the induced potential will bring very serious consequences; and in actual application scenarios, it is difficult to obtain the magnetic field distribution, electrical, magnetic or mechanical properties inside the motor, and it is even more difficult to obtain various types of information inside the motor.

[0005] Based on this, the present application urgently needs to propose a method for determining an induced potential and a method for determining a gliding duration that can solve the above-mentioned technical problems. Summary of the invention

[0006] Multiple aspects of the present application provide a method for determining an induced potential and a method for determining a coasting duration, so as to accurately and efficiently obtain the induced potential and the coasting duration of a motor.

[0007] In one aspect of the present application, a method for obtaining an induced potential is provided to determine an induced potential of a stator winding of a motor. The method comprises:

[0008] In response to an induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, wherein any target mesh group includes at least one mesh;

[0009] Determining a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group;

[0010] Based on the characteristic data of the target grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule;

[0011] In response to the induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, including:

[0012] In response to an induced potential analysis request, determining a heat concentration area and a noise concentration area of ​​the stator winding, and performing grid division on the stator winding to determine a plurality of grids;

[0013] Based on the heat concentration area and the grid, determining a first grid group and its characteristic attributes;

[0014] Based on the noise concentration area and the grid, determining a second grid group and its characteristic attributes;

[0015] Based on the first grid group and the second grid group, a third grid group and its characteristic attributes are determined.

[0016] Further, based on the characteristic attributes of the target grid group, the target grid and the characteristic data of the target grid are determined, including: based on the characteristic attributes of the first grid group, the maximum heat difference of the first grid group is determined, and the characteristic data of the first grid and the first grid corresponding to the maximum heat difference are determined, and the number of the first grids is at least two; based on the characteristic attributes of the second grid group, the maximum noise difference of the second grid group is determined, and the characteristic data of the second grid and the second grid corresponding to the maximum noise difference are determined, and the number of the second grids is at least two; based on the characteristic attributes of the third grid group, the noise mean and the heat mean of the third grid group are determined, and the third grid corresponding to the noise mean and the characteristic data of the third grid are determined, and the fourth grid corresponding to the heat mean and the characteristic data of the fourth grid are determined; wherein the third grid corresponding to the noise mean includes the grid of the third grid group whose noise value has the smallest difference with the noise mean, and the fourth grid corresponding to the heat mean includes the grid of the third grid group whose heat value has the smallest difference with the heat mean.

[0017] Further, based on the characteristic data of the target grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule, including: based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule; wherein the characteristic data of the first grid and the characteristic data of the third grid respectively include a heat value and a coordinate identifier; the characteristic data of the second grid and the characteristic data of the fourth grid respectively include a noise value and a coordinate identifier; the coordinate identifier of the target grid includes an identifier and a coordinate value of a target grid group to which the target grid belongs.

[0018] Further, based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule, including: generating a characteristic data set based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid; inputting the characteristic data set into a preset target induced potential determination model to determine the induced potential of the stator winding; the target induced potential determination model includes a first sub-model, a second sub-model and a third sub-model; wherein, based on the characteristic data set input into the preset target induced potential determination model, ensuring the induced potential of the stator winding includes: the first sub-model inputs the characteristic data of the target grid into the second sub-model set corresponding to any of the target grids; the second sub-model determines the initial induced potential of the corresponding target grid and then inputs the initial induced potential into the third sub-model; the third sub-model determines the induced potential of the stator winding based on the initial induced potential; the target grid includes the first grid, the second grid, the third grid and the fourth grid; wherein the characteristic data set is An array, m is the number of grids, and each row of the array is feature data of a grid.

[0019] Further, the third sub-model determines the induced potential of the stator winding based on the initial induced potential, including: determining the induced potential of the stator winding based on the initial induced potential of the first grid and its weight a1, the initial induced potential of the second grid and its weight a2, the initial induced potential of the third grid and its weight a3, and the initial induced potential of the fourth grid and its weight a4; or, determining the first induced potential based on the initial induced potential of the first grid and its weight b1 and the initial induced potential of the second grid and its weight b2; determining the second induced potential based on the initial induced potential of the third grid and its weight b3 and the initial induced potential of the fourth grid and its weight b4; determining the induced potential of the stator winding based on the first induced potential and the second induced potential.

[0020] Further, the method further includes: constructing a sample set, the sample set including a heat value, a noise value and an induced potential, the induced potential being determined based on the current value and the resistance value of the grid where the heat value and the noise value are located; iteratively training a preset induced potential determination model based on the sample set until the preset induced potential determination model meets the preset requirements, and determining a target induced potential determination model, the target induced potential determination model including a first sub-model, a second sub-model and a third sub-model; wherein, iteratively training a preset induced potential determination model based on the sample set until the preset induced potential determination model meets the preset requirements, and determining an initial induced potential determination model When the method further comprises: the training set trains the preset induced electric potential determination model by forward propagation and backward propagation minimum error to obtain an initial induced electric potential determination model, and respectively obtains data features of output results of the first sub-model, the second sub-model and the third sub-model, and the sample set comprises a training set and a test set; based on the data features, it is determined whether the preset induced electric potential determination model is offset; if not, the initial induced electric potential determination model is tested based on the test set to determine whether the initial induced electric potential determination model meets the preset requirements; if yes, the initial induced electric potential determination model is determined to be the target induced electric potential determination model.

[0021] Furthermore, the heat concentration area and noise concentration area of ​​the stator winding are determined, including: obtaining a heat cloud map of the stator winding, and determining the hot spot of the stator winding based on the heat cloud map; determining a heat concentration boundary based on the temperature of the hot spot and based on the multi-directional radiation rule; determining that the area defined by the heat concentration boundary in the heat cloud map is the heat concentration area; obtaining the high-noise area of ​​the stator winding, and obtaining the noise waveform of the stator winding in the high-noise area; determining that the position point corresponding to the peak value of the noise waveform is the noise source; determining the noise concentration boundary based on the position of the noise source and based on the multi-directional radiation rule; determining that the area defined by the noise concentration boundary in the high-noise area is the noise concentration area.

[0022] Furthermore, based on the heat grid group and the noise grid group, a third grid group and its characteristic attributes are determined, including: if there are overlapping grids between the first grid group and the second grid group, then the third grid group and its characteristic attributes are determined based on the overlapping grids; if there are no overlapping grids between the first grid group and the second grid group, then the first grid at the center position of the first grid group and the second grid at the center position of the second grid group are obtained; the grid at the center point of the line connecting the first grid and the second grid is determined to be the center grid of the third grid group; based on the center grid and a number of grids surrounding the center grid, the third grid group and its characteristic attributes are determined.

[0023] Another aspect of the present application provides a method for determining the coasting duration, which is used to determine the coasting duration of a motor, and the method comprises: in response to a power cut-off signal of the motor, obtaining the induced potential of the motor based on the induced potential determination method as described above until the induced potential of the motor is 0; determining a first duration as the coasting duration of the motor, the first duration being the duration for obtaining the induced potential of the motor.

[0024] The present application proposes a method for determining an induced potential, comprising: in response to an induced potential analysis request, dividing the stator winding into a grid, determining a target grid group and characteristic attributes of the target grid group, wherein any target grid group includes at least one grid; determining a target grid and characteristic data of the target grid based on the characteristic attributes of the target grid group; determining the induced potential of the stator winding according to a preset induced potential determination rule based on the characteristic data of the target grid; wherein, in response to the induced potential analysis request, dividing the stator winding into a grid, determining the target grid group and characteristic attributes of the target grid group, comprises: determining a heat concentration area and a noise concentration area of ​​the stator winding in response to the induced potential analysis request, and dividing the stator winding into a grid to determine a plurality of grids; determining a first grid group and its characteristic attributes based on the heat concentration area and the grid; determining a second grid group and its characteristic attributes based on the noise concentration area and the grid; and determining a third grid group and its characteristic attributes based on the first grid group and the second grid group. The induced potential of a motor is affected by various factors, and the application scenarios of the motor are complex. It is difficult and costly to obtain each factor that affects the induced potential. Therefore, these influencing factors are often ignored in the prior art, and the induced potential of the motor is obtained by indirect estimation or simple voltage measurement. However, in some high-precision special application scenarios, slight changes in the induced potential will produce a butterfly effect and cause irreparable losses. Therefore, this application will use noise and heat that reflect the above-mentioned influencing factors (factors that affect the size of the induced potential of the motor) as important parameters to obtain the induced potential of the motor, so as to improve the accuracy and precision of the induced potential, thereby ensuring the stable performance of the motor system, laying a solid foundation for the research and development of high-performance motors, and promoting the development of related industries and technological progress.

[0025] Based on the induced electric potential determination method, the present application also proposes a method for determining a coasting duration, comprising: in response to a power cut-off signal of the motor, obtaining the induced electric potential of the motor based on the induced electric potential determination method as described above until the induced electric potential of the motor is 0; determining a first duration as the coasting duration of the motor, the first duration being the duration for obtaining the induced electric potential of the motor. This method determines the coasting time of the motor by accurately obtaining the induced potential of the motor. The coasting time is the time that the motor bearings continue to rotate after the power supply of the motor is cut off, that is, the time from power off to complete stop of rotation. The coasting time of the motor is an important parameter for motor performance testing, because the coasting time of the motor is usually short (usually 3 seconds to 5 seconds), and the shafts of most motors (such as submersible motors) are not exposed, so the error of manual timing will be very large; after the motor is powered off, the electronic rotor has residual magnetism, and the rotation of the rotor causes the stator winding to generate an induced potential, which disappears when the rotor stops rotating. Therefore, the coasting time of the motor can be accurately obtained by measuring the induced potential of the stator winding. Therefore, based on the high-precision and high-accuracy induced potential obtained, the coasting time of the motor can be accurately and efficiently determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0027] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0028] Figure 1 A schematic diagram of a flow chart of a method for determining an induced potential provided in an embodiment of the present application;

[0029] Figure 2 A schematic diagram of a flow chart of a method for determining a taxiing duration provided in an embodiment of the present application;

[0030] Figure 3 A schematic diagram of the structure of an induced potential determination device provided in yet another embodiment of the present application;

[0031] Figure 4 A schematic diagram of the structure of a device for determining a taxiing duration provided in yet another embodiment of the present application;

[0032] Figure 5 The present invention is a schematic diagram of the structure of an electronic device suitable for implementing the solution in the embodiment of the present application.

[0033] The same or similar reference numerals in the drawings represent the same or similar components. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In a typical configuration of the present application, the terminal and the equipment of the service network each include one or more processors (CPU), input / output interface, network interface and memory.

[0036] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0037] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer program instructions, data structures, modules of programs or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0038] The embodiment of the present application provides an induced potential determination method for determining the induced potential of a stator winding of a motor, the method comprising:

[0039] Step S101, in response to an induced potential analysis request, meshing the stator winding, determining a target mesh group and characteristic attributes of the target mesh group, wherein any target mesh group includes at least one mesh;

[0040] Step S102, determining a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group;

[0041] Step S103, determining the induced potential of the stator winding based on the characteristic data of the target grid and according to a preset induced potential determination rule;

[0042] In response to the induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, including:

[0043] Step S1011, in response to an induced potential analysis request, determining a heat concentration area and a noise concentration area of ​​the stator winding, and performing grid division on the stator winding to determine a plurality of grids;

[0044] Step S1012: determining a first grid group and its characteristic attributes based on the heat concentration area and the grid;

[0045] Step S1013: determining a second grid group and its characteristic attributes based on the noise concentration area and the grid;

[0046] Step S1014: Determine a third grid group and its characteristic attributes based on the first grid group and the second grid group.

[0047] In actual scenarios, the execution subject of the method can be a user device, or a device formed by integrating a user device and a network device through a network, or an application running on the above device. The user device includes but is not limited to various terminal devices such as computers, mobile phones, tablets, smart watches, and bracelets. The network device includes but is not limited to network hosts, single network servers, multiple network server sets, or cloud computing-based computer sets, which can be used to implement some processing functions when setting an alarm. Here, the cloud is composed of a large number of hosts or network servers based on cloud computing (Cloud Computing), where cloud computing is a type of distributed computing, a virtual computer composed of a group of loosely coupled computer sets.

[0048] Embodiment 1

[0049] Figure 1 The present invention shows a processing flow of a method for determining an induced potential provided by an embodiment of the present application, which is used to determine the induced potential of a stator winding of a motor. The method includes at least the following processing steps:

[0050] Step S101, in response to an induced potential analysis request, meshing the stator winding, determining a target mesh group and characteristic attributes of the target mesh group, wherein any target mesh group includes at least one mesh;

[0051] Step S102, determining a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group;

[0052] Step S103, determining the induced potential of the stator winding based on the characteristic data of the target grid and according to a preset induced potential determination rule;

[0053] In response to the induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, including:

[0054] Step S1011, in response to an induced potential analysis request, determining a heat concentration area and a noise concentration area of ​​the stator winding, and performing grid division on the stator winding to determine a plurality of grids;

[0055] Step S1012: determining a first grid group and its characteristic attributes based on the heat concentration area and the grid;

[0056] Step S1013: determining a second grid group and its characteristic attributes based on the noise concentration area and the grid;

[0057] Step S1014: Determine a third grid group and its characteristic attributes based on the first grid group and the second grid group.

[0058] In one embodiment, the grid is a square, and the side length of the grid is 1 mm; it should be understood that the present application does not limit the size and shape of the grid, and the heat concentration area and the noise concentration area are divided into several grids to accurately obtain the temperature value / noise value of each point in the heat concentration area / noise concentration area. The smaller the area of ​​any grid, the more accurate the temperature value / noise value of a single point, but at the same time, multiple factors such as grid division efficiency / computation efficiency should also be considered.

[0059] Specifically, in response to the induced potential analysis request, the noise concentration area of ​​the stator winding is determined, including: in response to the induced potential analysis request, the microphone in the microphone array obtains the noise data of the corresponding position of the stator winding; after the noise data is analyzed in the frequency domain, the characteristic frequencies of different positions of the stator winding are determined in combination with the beamforming algorithm. Alternatively, after the noise data of different positions of the stator winding are obtained by a sound collection device, the collected noise data is processed to generate a noise distribution diagram or a three-dimensional noise map, and the noise concentration area is determined by the noise distribution diagram or the three-dimensional noise map. It should be understood that the present application does not limit the specific method for determining the noise concentration area, and those skilled in the art can determine the noise concentration area by various methods such as microphone arrays, near-field acoustic holography, etc.

[0060] Specifically, in response to the induced potential analysis request, the heat concentration area of ​​the stator winding is determined, including: using infrared thermal imaging to scan the stator winding of the motor to quickly identify the heat concentration area; or, directly setting the temperature sensor at different positions inside the motor, and recording the temperature information at different positions through the data acquisition system to determine the heat concentration area of ​​the stator winding. Among them, setting the temperature sensor at different positions inside the motor includes stator slots and / or end windings, etc. Similarly, the specific method for the heat concentration area is not limited in this application, and those skilled in the art can choose different methods to determine the heat concentration area of ​​the stator winding according to the actual application scenario.

[0061] In one embodiment, the stator winding is gridded to determine a target grid group and characteristic attributes of the target grid group, including: first determining a heat concentration area and a noise concentration area and then gridding the heat concentration area and the noise concentration area to determine a first grid group, a second grid group, and a third grid group; or, first gridding the stator winding, determining the heat concentration area and the noise concentration area of ​​the stator winding and then determining the grids covered by the heat noise area and the noise concentration area as the first grid group, the second grid group, and the third grid group.

[0062] Specifically, the target grid group includes a first grid group, a second grid group and a third grid group; the characteristic attributes of the target grid group include but are not limited to the coordinate information of the grid where the boundary line of the target grid group is located, the coordinate information of the grid where the maximum value in the target grid group is located, the coordinate information of the grid where the minimum value in the target grid group is located, and the difference between the maximum value and the minimum value in the target grid group; wherein the maximum value includes the maximum noise value and the maximum heat value, and the minimum value includes the minimum noise value and the minimum heat value.

[0063] In one embodiment, based on the characteristic attributes of the target grid group, determining the target grid and the characteristic data of the target grid includes: determining the maximum heat difference of the first grid group based on the characteristic attributes of the first grid group, and determining the characteristic data of the first grid and the first grid corresponding to the maximum heat difference, and the number of the first grids is at least two; determining the maximum noise difference of the second grid group based on the characteristic attributes of the second grid group, and determining the characteristic data of the second grid and the second grid corresponding to the maximum noise difference, and the number of the second grids is at least two; determining the noise mean and the heat mean of the third grid group based on the characteristic attributes of the third grid group, and determining the third grid corresponding to the noise mean and the characteristic data of the third grid, and determining the fourth grid corresponding to the heat mean and the characteristic data of the fourth grid; wherein the third grid corresponding to the noise mean includes the grid of the third grid group whose noise value has the smallest difference with the noise mean, and the fourth grid corresponding to the heat mean includes the grid of the third grid group whose heat value has the smallest difference with the heat mean.

[0064] In one embodiment, based on the characteristic data of the target grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule, including: based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule; wherein the characteristic data of the first grid and the characteristic data of the third grid respectively include a heat value and a coordinate identifier; the characteristic data of the second grid and the characteristic data of the fourth grid respectively include a noise value and a coordinate identifier; the coordinate identifier of the target grid includes an identifier and a coordinate value of a target grid group to which the target grid belongs.

[0065] In one of the embodiments, the method described in this embodiment also includes establishing a coordinate system based on the stator winding; specifically, it includes determining an axis of the cylinder where the stator winding is located as the axis of symmetry, and defining the axis as the z-axis; determining a reference point on the z-axis as the origin o of the coordinate system; determining the vertical distance from the z-axis to any point in the cylinder as the radial diameter r; taking the z-axis as the axis, measuring the angle α of the radius line where the axis is located counterclockwise in the x-axis direction, and the value range of the angle α is 0° to 360°; defining the distance along the z-axis direction as the z coordinate. Among them, the origin o can be the center of the bottom surface, the center of the top surface or any point of the cylinder where the stator winding is located, and technicians in this field can make a reasonable choice according to the actual application scenario.

[0066] Specifically, based on the above coordinate system, the coordinate values ​​obtained are (r, α, z), where r is the radial distance from the grid to the z-axis, α is the angle along the z-axis to the radius line where the grid is located, and z is the distance along the z-axis; in the present application, the shape of the grid is a quadrilateral, and the radius line where the grid is located is the radius line where the diagonal line of the grid is located.

[0067] In one embodiment, based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule, including: generating a characteristic data set based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid and the characteristic data of the fourth grid; inputting the characteristic data set into a preset target induced potential determination model to determine the induced potential of the stator winding; the target induced potential determination model includes a first sub-model, a second sub-model and a third sub-model; wherein, based on the characteristic data set input into the preset target induced potential determination model, ensuring the induced potential of the stator winding includes: the first sub-model inputs the characteristic data of the target grid into the second sub-model set corresponding to any of the target grids; the second sub-model determines the initial induced potential of the corresponding target grid and then inputs the initial induced potential into the third sub-model; the third sub-model determines the induced potential of the stator winding based on the initial induced potential; the target grid includes the first grid, the second grid, the third grid and the fourth grid.

[0068] In one embodiment, based on the feature data of the first grid, the feature data of the second grid, the feature data of the third grid and the feature data of the fourth grid, generating a feature data set includes: generating the feature data of any grid (the first grid, the second grid, the third grid and the fourth grid) An array, wherein each row of the array is feature data of a grid (a first grid, a second grid, a third grid or a fourth grid); the feature data of multiple grids are formed into an array, on the one hand, to ensure the standardization and organization of the feature data, and on the other hand, when an error occurs in the feature data of one of the grids (such as missing part of the data), it can be discovered in time.

[0069] In one embodiment, the first sub-model includes a feature extractor and a label classifier, the feature extractor determines the data attributes of the feature data based on the feature data, and the label classifier is used to determine the sub-model to be input into the feature data according to the data attributes; the second sub-model is a domain adversarial neural network model to obtain the initial induced potential of the feature data of any grid.

[0070] In one of the embodiments, the third sub-model determines the induced potential of the stator winding based on the initial induced potential, including: determining the induced potential of the stator winding based on the initial induced potential of the first grid and its weight a1, the initial induced potential of the second grid and its weight a2, the initial induced potential of the third grid and its weight a3, and the initial induced potential of the fourth grid and its weight a4; the method described in this embodiment can efficiently determine the induced potential of the stator winding.

[0071] In one embodiment, the third sub-model determines the induced potential of the stator winding based on the preliminary induced potential, including: determining the first induced potential based on the preliminary induced potential of the first grid and its weight b1 and the preliminary induced potential of the second grid and its weight b2; determining the second induced potential based on the preliminary induced potential of the third grid and its weight b3 and the preliminary induced potential of the fourth grid and its weight b4; determining the induced potential of the stator winding based on the first induced potential and the second induced potential; the method described in this embodiment can ensure high precision and high accuracy of the induced potential of the stator winding.

[0072] In one embodiment, the method further includes: constructing a sample set, the sample set including a heat value, a noise value and an induced potential, the induced potential being determined based on the current value and the resistance value of the grid where the heat value and the noise value are located; iteratively training a preset induced potential determination model based on the sample set until the preset induced potential determination model meets the preset requirements, and determining a target induced potential determination model, the target induced potential determination model including a first sub-model, a second sub-model and a third sub-model; wherein, iteratively training a preset induced potential determination model based on the sample set until the preset induced potential determination model meets the preset requirements, and determining the initial induced potential determination model. When determining a model, the method further includes: training the preset induced electric potential determination model by forward propagation and backward propagation minimum error to obtain an initial induced electric potential determination model, and respectively obtaining data features of output results of the first sub-model, the second sub-model and the third sub-model, and the sample set includes a training set and a test set; judging whether the preset induced electric potential determination model is offset based on the data features; if not, testing the initial induced electric potential determination model based on the test set to judge whether the initial induced electric potential determination model meets the preset requirements; if yes, determining that the initial induced electric potential determination model is the target induced electric potential determination model.

[0073] Among them, judging whether the preset induced electric potential determination model is offset based on the data characteristics includes: judging whether the preset induced electric potential determination model is overfitting based on the data characteristics; or judging whether the loss of the preset induced electric potential determination model is too small or too large based on the data characteristics.

[0074] In one embodiment, determining the heat concentration area and noise concentration area of ​​the stator winding includes: obtaining a heat cloud map of the stator winding, and determining the hot spot of the stator winding based on the heat cloud map; determining the heat concentration boundary based on the temperature of the hot spot and the multi-directional radiation rule; determining the area defined by the heat concentration boundary in the heat cloud map as the heat concentration area; obtaining the high-noise area of ​​the stator winding, and obtaining the noise waveform of the stator winding in the high-noise area; determining the position point corresponding to the peak of the noise waveform as the noise source; determining the noise concentration boundary based on the position of the noise source and the multi-directional radiation rule; determining the area defined by the noise concentration boundary in the high-noise area as the noise concentration area. Wherein, the hot spot of the stator winding is determined based on the heat cloud map, the heat concentration boundary is determined based on the hot spot and the multi-directional radiation rule, and the area defined by the heat cloud map where the heat concentration boundary is located is determined as the heat concentration area, so as to ensure the accuracy of the heat concentration boundary, and thus ensure the high precision of the heat concentration area.

[0075] It should be understood that the multi-directional radiation rule includes taking the location of the noise source / hotspot as the starting point and determining the noise concentration boundary / heat concentration boundary along multiple radiation lines based on a preset step size; preferably, the angle between any two radiation lines does not exceed 1° to ensure the high accuracy of the noise concentration boundary / heat concentration boundary.

[0076] In one embodiment, determining the heat concentration area of ​​the stator winding further includes: directly determining the heat concentration boundary based on the heat cloud map of the stator winding, and determining the area where the heat concentration boundary is defined by the heat cloud map as the heat concentration area, so as to more quickly determine the heat concentration area.

[0077] In one embodiment, based on the heat grid group and the noise grid group, a third grid group and its characteristic attributes are determined, including: if there are overlapping grids between the first grid group and the second grid group, the third grid group and its characteristic attributes are determined based on the overlapping grids; if there are no overlapping grids between the first grid group and the second grid group, a first grid at the center position of the first grid group and a second grid at the center position of the second grid group are obtained; a grid at the center point of the line connecting the first grid and the second grid is determined as the center grid of the third grid group; and a third grid group and its characteristic attributes are determined based on the center grid and a plurality of grids surrounding the center grid.

[0078] Specifically, based on the central grid and several grids surrounding the central grid, the third grid group and its characteristic attributes are determined, including: obtaining the temperature and noise of the central grid; taking the central grid as the origin, according to the multi-directional radiation rule, obtaining the heat concentration boundary and the noise concentration boundary, determining the grid defined by the heat concentration boundary as the first initial grid group, and determining the grid defined by the noise concentration boundary as the second initial grid group; determining that the grids overlapping the first initial grid group and the second initial grid group form the third grid group, and obtaining the characteristic attributes of the third grid group.

[0079] It should be understood that the motors described in the present application include but are not limited to induction motors, DC motors, synchronous motors, servo motors and stepper motors.

[0080] Embodiment 2

[0081] In actual application scenarios, after the motor is switched to a power source, the motor does not stop instantly; the so-called coasting duration is the time from when the motor starts to decelerate to when the motor stops completely after the power source is cut off; by obtaining the coasting duration of the motor, the actual physical downtime of the motor can be determined. Based on this, this embodiment proposes a coasting duration determination method for determining the coasting duration of the motor, which includes at least the following steps:

[0082] Step S201, in response to a power cut-off signal of the motor, acquiring an induced potential of the motor until the induced potential of the motor is 0;

[0083] Step S202: Determine a first time duration as a coasting time duration of the motor, wherein the first time duration is a time duration for obtaining an induced potential of the motor.

[0084] The step of obtaining the induced potential of the motor until the induced potential of the motor is 0 includes: determining the induced potential of the motor based on the induced potential determination method described in the first embodiment.

[0085] In one embodiment, the method for determining the coasting duration includes: responding to a power switching signal of the motor, determining the time point of cutting off the power of the motor as a first time point; acquiring the induced potential of the electronic winding of the motor from the first time point until the induced potential of the electronic winding is 0, and determining the time point when the induced potential is 0 as a second time point; acquiring the duration from the first time point to the second time point as the first duration, which is the coasting duration of the motor.

[0086] The methods for determining the coasting time of a motor in the prior art are often difficult to accurately cover the influence of all actual factors, which will eventually lead to inaccurate measurement of the coasting time of the motor. The coasting time determination method of the motor described in the present application can accurately and efficiently obtain the coasting time of the motor.

[0087] Embodiment 3

[0088] Figure 3 An induced potential determination device proposed in the present application is shown, and the device is used to implement the induced potential determination method proposed in the first embodiment. The device includes:

[0089] a partitioning unit, configured to partition the stator winding into grids in response to an induced potential analysis request, and determine a target grid group and characteristic attributes of the target grid group, wherein any target grid group includes at least one grid;

[0090] A first determining unit, configured to determine a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group;

[0091] a second determination unit, configured to determine the induced potential of the stator winding based on the characteristic data of the target grid and in accordance with a preset induced potential determination rule;

[0092] The division units include:

[0093] A response module, for determining the heat concentration area and the noise concentration area of ​​the stator winding in response to the induced potential analysis request, and performing grid division on the stator winding to determine a plurality of grids;

[0094] A grid group determination module is used to determine a first grid group and its characteristic attributes based on the heat concentration area and the grid, and to determine a second grid group and its characteristic attributes based on the noise concentration area and the grid, and to determine a third grid group and its characteristic attributes based on the first grid group and the second grid group.

[0095] Embodiment 4

[0096] Figure 4 A device for determining a taxiing duration proposed in the present application is shown, which is used to implement a method for determining a taxiing duration proposed in the second embodiment. The device includes:

[0097] a response determination unit, configured to, in response to a power cut-off signal of the motor, obtain an induced potential of the motor based on the induced potential determination method according to the first embodiment until the induced potential of the motor is 0;

[0098] The coasting duration determining unit is used to determine a first duration as the coasting duration of the motor, wherein the first duration is the duration for obtaining the induced potential of the motor.

[0099] Embodiment 5

[0100] Based on the same inventive concept, an electronic device is also provided in an embodiment of the present application, and the method corresponding to the electronic device may be the method for determining the induced potential and the method for determining the coasting duration in the aforementioned embodiment, and the principle of solving the problem is similar to that of the method. The electronic device provided in an embodiment of the present application includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the methods and / or technical solutions of the aforementioned multiple embodiments of the present application.

[0101] The electronic device may be a user device, or a device formed by integrating a user device and a network device through a network, or may be an application running on the above device. The user device includes but is not limited to various terminal devices such as computers, mobile phones, tablet computers, smart watches, and bracelets. The network device includes but is not limited to network hosts, single network servers, multiple network server sets, or cloud computing-based computer sets, which can be used to implement some processing functions when setting an alarm. Here, the cloud is composed of a large number of hosts or network servers based on cloud computing, where cloud computing is a type of distributed computing, a virtual computer composed of a group of loosely coupled computer sets.

[0102] Figure 5 The structure of an electronic device suitable for implementing the method and / or technical solution in the embodiment of the present application is shown. The device 500 includes a central processing unit (CPU, Central Processing Unit) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM, Read Only Memory) 502 or the program loaded from the storage part 508 to the random access memory (RAM, Random Access Memory) 503. Various programs and data required for system operation are also stored in RAM503. CPU501, ROM502 and RAM503 are connected to each other through a bus 504. An input / output (I / O, Input / Output) interface 505 is also connected to the bus 504.

[0103] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, a touch screen, a microphone, an infrared sensor, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), an LED display, an OLED display, etc., and a speaker, etc.; a storage section 508 including one or more computer-readable media such as a hard disk, an optical disk, a magnetic disk, a semiconductor memory, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet.

[0104] In particular, the methods and / or embodiments in the embodiments of the present application may be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. When the computer program is executed by the central processing unit (CPU) 501, the above functions defined in the method of the present application are executed.

[0105] Embodiment 6

[0106] Another embodiment of the present application further provides a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions can be executed by a processor to implement the methods and / or technical solutions of any one or more embodiments of the present application described above.

[0107] Specifically, the present embodiment may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device, or device or used in combination therewith.

[0108] Computer readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than a computer readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device.

[0109] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0110] Computer program code for performing the operation of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0111] The flow chart or block diagram in the accompanying drawings shows the possible architecture, function and operation of the equipment, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated system for hardware that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or page components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0116] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0118] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in a device claim can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A method for determining induced potential, characterized in that: For determining the induced potential of a stator winding of an electric machine, the method comprises: In response to an induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, wherein any target mesh group includes at least one mesh; Determining a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group; Based on the characteristic data of the target grid, the induced potential of the stator winding is determined according to a preset induced potential determination rule; In response to the induced potential analysis request, the stator winding is meshed, and a target mesh group and characteristic attributes of the target mesh group are determined, including: In response to an induced potential analysis request, determining a heat concentration area and a noise concentration area of ​​the stator winding, and performing grid division on the stator winding to determine a plurality of grids; Based on the heat concentration area and the grid, determining a first grid group and its characteristic attributes; Based on the noise concentration area and the grid, determining a second grid group and its characteristic attributes; Based on the first grid group and the second grid group, a third grid group and its characteristic attributes are determined.

2. The method for determining the induced potential according to claim 1, characterized in that: Determining a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group includes: Based on characteristic attributes of the first grid group, determining a maximum heat difference of the first grid group, and determining a first grid corresponding to the maximum heat difference and characteristic data of the first grid, wherein the number of the first grids is at least two; Based on the characteristic attribute of the second grid group, determining the maximum noise difference of the second grid group, and determining the second grid corresponding to the maximum noise difference and the characteristic data of the second grid, the number of the second grids being at least two; Based on the characteristic attributes of the third grid group, determine the noise mean and the heat mean of the third grid group, determine the third grid corresponding to the noise mean and the characteristic data of the third grid, and determine the fourth grid corresponding to the heat mean and the characteristic data of the fourth grid; Among them, the third grid corresponding to the noise mean includes the grids of the third grid group whose difference between the noise value and the noise mean is the smallest, and the fourth grid corresponding to the heat mean includes the grids of the third grid group whose difference between the heat value and the heat mean is the smallest.

3. The method for determining the induced potential according to claim 2, characterized in that: Based on the characteristic data of the target grid and according to a preset induced potential determination rule, determining the induced potential of the stator winding includes: Determine the induced potential of the stator winding according to a preset induced potential determination rule based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid, and the characteristic data of the fourth grid; Among them, the characteristic data of the first grid and the characteristic data of the fourth grid respectively include heat value and coordinate identification; the characteristic data of the second grid and the characteristic data of the third grid respectively include noise value and coordinate identification; the coordinate identification of the target grid includes the identification and coordinate value of the target grid group to which the target grid belongs.

4. The method for determining the induced potential according to claim 3, characterized in that: Determining the induced potential of the stator winding according to a preset induced potential determination rule based on the characteristic data of the first grid, the characteristic data of the second grid, the characteristic data of the third grid, and the characteristic data of the fourth grid, includes: generating a feature data set based on the feature data of the first grid, the feature data of the second grid, the feature data of the third grid, and the feature data of the fourth grid; Inputting the characteristic data set into a preset target induced potential determination model to determine the induced potential of the stator winding; the target induced potential determination model includes a first sub-model, a second sub-model and a third sub-model; Wherein, based on the characteristic data set being input into a preset target induced potential determination model, determining the induced potential of the stator winding includes: The first sub-model inputs the characteristic data of the target grid into a second sub-model corresponding to any of the target grids; The second sub-model determines the initial induced potential of the corresponding target grid and then inputs the initial induced potential into the third sub-model; The third sub-model determines the induced potential of the stator winding based on the initially collected induced potential; the target grid includes the first grid, the second grid, the third grid and the fourth grid; The feature dataset is An array, m is the number of grids, and each row of the array is feature data of a grid.

5. The method for determining the induced potential according to claim 4, characterized in that: The third sub-model determines the induced potential of the stator winding based on the initially acquired induced potential, including: Determine the induced potential of the stator winding based on the initial induced potential of the first grid and its weight a1, the initial induced potential of the second grid and its weight a2, the initial induced potential of the third grid and its weight a3, and the initial induced potential of the fourth grid and its weight a4; or, Determine a first induced potential based on the initial induced potential of the first grid and its weight b1 and the initial induced potential of the second grid and its weight b2; Determine a second induced potential based on the initial induced potential of the third grid and its weight b3 and the initial induced potential of the fourth grid and its weight b4; An induced potential of the stator winding is determined based on the first induced potential and the second induced potential.

6. The method for determining the induced potential according to claim 5, characterized in that: The method further comprises: Constructing a sample set, the sample set including a heat value, a noise value and an induced potential, the induced potential being determined based on a current value and a resistance value of a grid where the heat value and the noise value are located; Iteratively training a preset induced electric potential determination model based on the sample set until the preset induced electric potential determination model meets preset requirements, and determining a target induced electric potential determination model, wherein the target induced electric potential determination model includes a first sub-model, a second sub-model, and a third sub-model; Wherein, iteratively training a preset induced electric potential determination model based on the sample set until the preset induced electric potential determination model meets preset requirements, and when determining the initial induced electric potential determination model, the method further includes: Based on the training set, a preset induced potential determination model is trained by forward propagation and backward propagation minimum error to obtain an initial induced potential determination model, and data features of output results of the first sub-model, the second sub-model and the third sub-model are respectively obtained, and the sample set includes a training set and a test set; Determining whether the preset induced potential determination model is offset based on the data characteristics; If not, testing the initial induced electric potential determination model based on the test set to determine whether the initial induced electric potential determination model meets the preset requirements; If it is consistent, the initial induced electric potential determination model is determined as the target induced electric potential determination model.

7. The method for determining the induced potential according to claim 6, characterized in that: Determining the heat concentration area and the noise concentration area of ​​the stator winding includes: Obtaining a thermal cloud map of the stator winding, and determining a hot spot of the stator winding based on the thermal cloud map; Based on the temperature of the hot spot and based on the multi-directional radiation rule, determining the heat concentration boundary; Determine that the area defined by the heat concentration boundary in the heat cloud map is a heat concentration area; Obtaining a high-noise area of ​​the stator winding, and obtaining a noise waveform of the stator winding in the high-noise area; Determine the position point corresponding to the peak value of the noise waveform as the noise source; Based on the location of the noise source and the multi-directional radiation rule, determining the noise concentration boundary; Determine that the area defined by the noise concentration boundary in the noise-prone area is the noise concentration area.

8. The method for determining induced potential according to claim 1 or 7, characterized in that: Based on the first grid group and the second grid group, determining a third grid group and its characteristic attributes includes: If there are overlapping grids between the first grid group and the second grid group, determining a third grid group and its characteristic attributes based on the overlapping grids; If there are no overlapping grids between the first grid group and the second grid group, obtain the first grid at the center position of the first grid group and the second grid at the center position of the second grid group; determine the grid where the center point of the line connecting the first grid and the second grid is located as the center grid of the third grid group; and determine the third grid group and its characteristic attributes based on the center grid and a plurality of grids surrounding the center grid.

9. A method for determining a taxiing duration, characterized in that: The method is used to determine the coasting duration of the motor, and the method includes: In response to a power cut-off signal of the motor, acquiring the induced potential of the motor based on the induced potential determination method according to any one of claims 1 to 8 until the induced potential of the motor is 0; A first time duration is determined as a coasting time duration of the motor, wherein the first time duration is a time duration for obtaining an induced potential of the motor.

10. An induced potential determination device, characterized in that: The device comprises: a partitioning unit, configured to partition the stator winding into grids in response to an induced potential analysis request, and determine a target grid group and characteristic attributes of the target grid group, wherein any target grid group includes at least one grid; A first determining unit, configured to determine a target grid and characteristic data of the target grid based on characteristic attributes of the target grid group; a second determination unit, configured to determine the induced potential of the stator winding based on the characteristic data of the target grid and in accordance with a preset induced potential determination rule; The division units include: A response module, for determining the heat concentration area and the noise concentration area of ​​the stator winding in response to the induced potential analysis request, and performing grid division on the stator winding to determine a plurality of grids; A grid group determination module is used to determine a first grid group and its characteristic attributes based on the heat concentration area and the grid, and to determine a second grid group and its characteristic attributes based on the noise concentration area and the grid, and to determine a third grid group and its characteristic attributes based on the first grid group and the second grid group.

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