WO2020073955A1 - 电动工具的控制方法、电动工具及系统 - Google Patents

电动工具的控制方法、电动工具及系统 Download PDF

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Publication number
WO2020073955A1
WO2020073955A1 PCT/CN2019/110372 CN2019110372W WO2020073955A1 WO 2020073955 A1 WO2020073955 A1 WO 2020073955A1 CN 2019110372 W CN2019110372 W CN 2019110372W WO 2020073955 A1 WO2020073955 A1 WO 2020073955A1
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WO
WIPO (PCT)
Prior art keywords
power tool
image
target
type information
target working
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2019/110372
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English (en)
French (fr)
Inventor
王家达
吴军
孟帅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Positec Power Tools Suzhou Co Ltd
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Positec Power Tools Suzhou Co Ltd
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Publication of WO2020073955A1 publication Critical patent/WO2020073955A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23B—TURNING; BORING
    • B23B45/00—Hand-held or like portable drilling machines, e.g. drill guns; Equipment therefor
    • B23B45/02—Hand-held or like portable drilling machines, e.g. drill guns; Equipment therefor driven by electric power
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25B—TOOLS OR BENCH DEVICES NOT OTHERWISE PROVIDED FOR, FOR FASTENING, CONNECTING, DISENGAGING, OR HOLDING
    • B25B21/00—Portable power-driven screw or nut setting or loosening tools; Attachments for drilling apparatus serving the same purpose
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25B—TOOLS OR BENCH DEVICES NOT OTHERWISE PROVIDED FOR, FOR FASTENING, CONNECTING, DISENGAGING, OR HOLDING
    • B25B23/00—Details of, or accessories for, spanners, wrenches, screwdrivers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25D—PERCUSSIVE TOOLS
    • B25D11/00—Portable percussive tools with electromotor or other motor drive
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25D—PERCUSSIVE TOOLS
    • B25D16/00—Portable percussive machines with superimposed rotation, the rotational movement of the output shaft of a motor being modified to generate axial impacts on the tool bit
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers

Definitions

  • the present invention relates to the field of power tools, and in particular to a control method, power tool and system for power tools.
  • power tools have been more and more widely used due to their time-saving and labor-saving features.
  • hand-held power tools usually including electric drills, electric screwdrivers, electric hammers and impact drills.
  • These power tools bring convenience to users and also bring some confusion in use.
  • it is usually necessary to adjust the speed, torque and impact power of the power tool according to the drilling object and the hole size of the power tool. If these parameters are set improperly, it will cause the work piece of the power tool Damaged or motor burned.
  • a method for controlling an electric tool comprising: acquiring operating parameters of the electric tool; generating operating parameters of the electric tool according to the operating parameters; sending the operating parameters to the electric tool, So that the power tool performs corresponding actions according to the operating parameters.
  • the step of acquiring the working condition parameter of the power tool and generating the operation parameter of the power tool according to the working condition parameter includes: acquiring the type of the target working object of the power tool confirmed by the user through an intelligent mobile terminal Information; generate the operating parameters of the power tool according to the type information of the target work object.
  • the type information of the target working object includes the material of the target working object and / or the target drilling aperture.
  • the operating parameter includes at least one of the rotation speed, torque and impact power of the electric tool.
  • the step of acquiring the type information of the target working object of the power tool confirmed by the user through the intelligent mobile terminal includes: acquiring the type information of the target working object under the category catalog of the intelligent mobile terminal, the category catalog is It is configured to classify the type of the target work object according to a preset classification table.
  • the step of acquiring the type information of the target working object of the power tool confirmed by the user through the smart mobile terminal includes: acquiring the type information of the target working object searched by the user on the smart mobile terminal.
  • the type information of the target work object is set by one of the following methods: the type information of the target work object is preset type information; the type information of the target work object is entered by the user according to actual needs set up.
  • the step of generating the operating parameters of the power tool according to the operating condition parameters includes: acquiring a user's selection operation on the category catalog, and according to the selected type information from a preset table of type information and operating parameters To obtain the operating parameters corresponding to the type information.
  • the step of acquiring the type information of the target working object under the category catalog of the smart mobile terminal, the category directory being configured to classify the type of the target working object according to a preset classification table includes: Display the main page, the main page displays the material information of the target working object; obtain the user's selection operation of the main page material information, and enter the sub-page according to the selected material information, the sub-page displays the target hole diameter Size Information.
  • the step of acquiring the type information of the target working object of the power tool confirmed by the user through the smart mobile terminal includes: taking an image of the target working object through the smart mobile terminal; and imaging the image of the target working object Identify and obtain the type information of the target work object.
  • the image of the image of the target working object is captured by an intelligent mobile terminal; the step of performing image recognition on the image of the target working object and acquiring the type information of the target working object includes: For the image of the target working object, frame the target image area to be identified in the image of the target working object; perform image recognition on the target image area to identify the type information of the target working object.
  • the type information of the target working object is material information
  • the method further includes: acquiring a large number of material images of the target working object, and according to the material information, the material images respectively Set tags, establish a labeled material image database, and construct an initial deep learning network framework; input the material images in the material image database into the initial deep learning network framework, and train to obtain a material image recognition module composed of deep learning network modules.
  • the step of performing image recognition on the image of the target working object and acquiring the type information of the target working object includes: inputting the image of the target working object into the material image recognition module, and passing the material image recognition module After recognition, the material information of the target working object is output.
  • the deep learning network model is a convolutional neural network model.
  • the image of the target working object includes an image of a checkerboard and an existing hole to be measured
  • the type information of the target working object is size information of an aperture
  • the image of the target working object is imaged
  • the step of identifying and obtaining the type information of the target working object includes: obtaining the size of each grid in the checkerboard grid and the number of checkerboard grids; calculating the size of the checkerboard grid in the image of the target working object through the corner information, according to the checkerboard grid Calculate the distance information represented by a single pixel; obtain the number of pixels corresponding to the diameter of the aperture, calculate and output the size information of the aperture.
  • the step of obtaining the number of pixels corresponding to the diameter of the aperture includes: frame-selecting the aperture area to be identified in the image of the target working object, and performing adaptive binarization processing on the area to distinguish the aperture area from Background image; obtain the number of pixels corresponding to the diameter of the aperture in the aperture area after the binarization process.
  • the step of sending the operating parameter to the power tool includes: sending the operation parameter through one or more communication technologies of wired communication, WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication
  • One or more parameters of speed, torque and impact power of the electric tool are sent to the electric tool.
  • the power tool includes any one of an electric drill, an electric hammer, an impact drill, a multi-function drill, and an impact wrench.
  • An electric tool includes a housing, a motor provided in the housing, and a transmission mechanism driven by the motor.
  • the electric tool further includes: a communication module for receiving the operating parameters; a control module for analyzing and configuring the laboratory The operation parameters, and control the motor and the transmission mechanism to perform corresponding actions according to the operation parameters.
  • An electric tool system includes an electric tool and an intelligent mobile terminal that communicates with the electric tool.
  • the electric tool system further includes: a working condition parameter acquisition module, located in the intelligent mobile terminal, for acquiring the power tool Operating parameters; operating parameter generation module, located in the intelligent mobile terminal, used to generate operating parameters of the electric tool according to the operating parameters; a communication module, used to send the operating parameters generated in the intelligent mobile terminal to the On the electric tool; a control module, located in the electric tool, is used to receive the operating parameters transmitted by the communication module, and perform corresponding actions according to the operating parameters.
  • the working condition parameter acquisition module further includes: an image acquisition module for acquiring an image of a target working object of the power tool; an image recognition module for processing the acquired image to extract image feature data, The characteristic data is input to the target work object classification table, and the type information of the target work object is output.
  • the image recognition module further includes: a model building module, acquiring material images of a large number of target working objects, setting tags for the material images according to the material information, constructing a labeled material image database, and constructing initial deep learning Network framework; material image recognition module, connected to the image acquisition module, consisting of a deep learning network model, used for material recognition based on the acquired image of the target working object, and determining material information, wherein, the deep learning The network model is input to the initial deep learning network framework based on the material images in the material image database, and obtained by training.
  • a model building module acquiring material images of a large number of target working objects, setting tags for the material images according to the material information, constructing a labeled material image database, and constructing initial deep learning Network framework
  • material image recognition module connected to the image acquisition module, consisting of a deep learning network model, used for material recognition based on the acquired image of the target working object, and determining material information, wherein, the deep learning The network model is input to the initial deep learning network framework
  • the image acquisition module is further used for acquiring target images including checkerboard grids and apertures
  • the image recognition module further includes: a parameter acquisition module for acquiring the size of each grid in the checkerboard grid and the number of checkerboard grids
  • the distance calculation module calculates the size of the checkerboard in the target image through the corner information, calculates the distance information represented by a single pixel according to the size of the checkerboard, obtains the number of pixels corresponding to the diameter of the aperture, and calculates the size information of the aperture.
  • the working condition parameter obtaining module is further used to obtain the type information of the target working object in the category catalog confirmed by the user; the operation parameter generating module is also used to obtain from the selected type information from The operation parameters corresponding to the type information are obtained from a correspondence table between the type information of the target work object and the operation parameters set in advance.
  • the system further includes a storage module, the storage module is further configured to store a category directory that classifies the type of the target work object according to a preset classification table, and the storage module also uses It is used to store the correspondence table between the preset type information of the target work object and the operating parameters.
  • the communication module includes one or more of line communication, WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication.
  • a computer device includes a memory and a processor.
  • the memory stores a computer program.
  • the processor executes the computer program, any of the steps of the control method described above is implemented.
  • the beneficial effects of the present invention are: the control method of the electric tool of the present invention, the electric tool and the electric tool system obtain the working condition parameters of the electric tool through the intelligent mobile terminal, and convert the working condition parameters into the tool Operating parameters.
  • the operating parameters are transmitted to the electric tool through communication technology.
  • the electric tool performs the corresponding actions according to the operating parameters.
  • the invention obtains working condition parameters through an intelligent mobile terminal, automatically generates operating parameters according to the working condition parameters, and sends the operating parameters to the electric tool without the need for the electric tool to convert the working condition parameters into operating parameters, which reduces the cost of the electric tool
  • Operating parameters waste time and cause tool damage.
  • FIG. 1 is an application environment diagram of a control method of an electric tool in an embodiment of the invention
  • FIG. 2 is a schematic flowchart of a control method of a power tool in the first embodiment of the present invention
  • FIG. 3 is a schematic flowchart of a control method of a power tool in a second embodiment of the invention.
  • FIG. 4a is a main category target in an embodiment of the present invention
  • FIG. 4b is a sub-category directory in an embodiment of the present invention
  • FIG. 5 is a correspondence table between working condition parameters and operating parameters of the present invention.
  • FIG. 6 is an application scenario diagram of a control method of a power tool in an embodiment of the present invention.
  • FIG. 7 is a schematic flowchart of a control method of a power tool in a third embodiment of the present invention.
  • FIG. 8 is a schematic flowchart of step S11 in FIG. 7;
  • FIG. 9 is an application scenario diagram of a control method of a power tool in another embodiment of the present invention.
  • FIG. 10 is a schematic flowchart of a control method of a power tool in a fourth embodiment of the present invention.
  • FIG. 11 is an internal structure diagram of a computer device in a sixth embodiment of the invention.
  • FIG. 12 is a schematic structural diagram of a power tool system in a seventh embodiment of the present invention.
  • FIG. 13 is a structural block diagram of an operating condition parameter acquisition module in an eighth embodiment of the present invention.
  • FIG. 14 is a structural block diagram of a working condition parameter acquisition module in a ninth embodiment of the present invention.
  • the control method of the electric tool provided by the present application can be applied in the application environment shown in FIG. 1.
  • the smart mobile terminal 110 and the power tool 120 can communicate through one or more communication technologies of wired, WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication.
  • the intelligent mobile terminal 110 is used to automatically recognize the type of the target working object of the power tool 120, and obtain the working condition parameters of the power tool 120 according to the type of the target working object, and generate the corresponding electric power according to the working condition parameters The operating parameters of the tool 120, and then send the operating parameters to the electric tool 120, so that the electric tool 120 can perform corresponding actions according to the operating parameters, such as drilling or screwing.
  • the smart mobile terminal 110 may be, but not limited to, various personal computers, notebook computers, smart phones, tablets, and portable wearable devices
  • the power tool 120 may be, but not limited to, various electric drills, electric hammers, impact drills, multi-functions Handheld electric drills and other electric tools such as drills and impact wrenches.
  • FIG. 2 is a schematic flowchart of a power tool control method according to a first embodiment of the present invention.
  • This application first provides a method for controlling a power tool. The method is applied to the smart mobile terminal 110 and the power tool 120 in FIG. 1 as an example for description, and includes the following steps:
  • Step S10 Obtain the working condition parameters of the power tool.
  • the working condition refers to the working environment or the target working state directly related to the power tool
  • the working condition parameter refers to the parameter related to the working environment or the target working state of the electric tool
  • the working condition parameter can specifically It is the type information of the target working object of the electric tool, including at least one of the material of the target working object of the electric tool, the target punching hole diameter and the working mode.
  • the smart mobile terminal 110 may obtain the type information of the target working object of the power tool through direct input or image recognition.
  • Step S20 Generate operating parameters of the power tool according to the operating condition parameters.
  • the operating parameters refer to the parameters related to the operating state of the electric tool. These operating parameters can directly relate to the working mode and power condition of the electric tool, which affects the working effect of the electric tool.
  • the setting of the operating parameters is closely related to the operating condition parameters, that is, different operating condition environments should correspond to different operating states of the power tool.
  • the intelligent mobile terminal can automatically generate the operating parameters of the electric tool according to the input working condition parameters or the type information of the target working object, or it can automatically identify the type information of the target working object through the intelligent mobile terminal.
  • Step S30 Send the operating parameters to the electric tool, so that the electric tool performs corresponding actions according to the operating parameters.
  • the smart mobile terminal can send the generated operating parameters to the electric tool through wired or wireless communication means.
  • the electric tool parses and configures the operating parameters, and then according to the configuration inside the electric tool
  • the operating parameters of the power tool control the corresponding actuators on the power tool to perform corresponding actions.
  • the power tool can perform drilling or screwing at a certain speed and torque according to the configured operating parameters.
  • the intelligent mobile terminal can automatically generate the operating parameter of the electric tool and automatically send the operating parameter to the electric tool by acquiring the working condition parameter of the electric tool, so that the electric tool can be executed according to the received operating parameter Corresponding work tasks.
  • the operating parameters of the electric tool are automatically generated by the program in the intelligent mobile terminal, and the generated operating parameters are transmitted to the electric tool without the need for the electric tool to convert the operating condition parameters into operating parameters, saving costs and eliminating the need for manual It can be applied through continuous adjustment and trial and error, which saves manpower and improves the intelligence of the power tool and the service life of the power tool.
  • the working condition parameters of the power tool include at least one of the material of the target working object of the power tool, the target hole diameter and the working mode. Further, the power tool is acquired in step S10 in FIG. 1
  • the condition parameters may include the following steps: obtaining one or more parameters of the material of the target working object of the power tool, the target hole diameter and the working mode.
  • the operating parameters of the electric tool include the working mode, speed, torque, and impact power of the electric tool.
  • generating the operating parameters of the electric tool according to the operating condition parameters in step S20 may include the following steps: The material of the target working object of the tool, the target hole diameter and one or more parameters in the working mode, and the correspondence between the preset working condition parameters and the operating parameters to generate the working mode, speed, torque and impact power of the electric tool One or more parameters in.
  • each set of operating condition parameters of the power tool corresponds to a set of operating parameters, that is, the correspondence between the operating condition parameters and the operating parameters is preset in the intelligent mobile terminal.
  • the intelligent mobile terminal obtains After one or more working condition parameters, the operating parameters of the electric tool can be generated according to the correspondence between the preset working condition parameters and the operating parameters, where the operating parameters can be the working mode, speed, torque and impact of the electric tool One or more of the power.
  • the working mode of the power tool may be acquired through an intelligent mobile terminal, or may be automatically generated.
  • the working mode of the generated power tool is a drill mode; when the material of the target working object acquired by the intelligent mobile terminal is a wooden board with a drilled hole At this time, the working mode of the generated power tool is the twisting mode; when the material of the target working object acquired by the intelligent mobile terminal is a hard concrete wall, the working mode of the generated power tool is the impact mode.
  • Other operating parameters such as the speed, torque and impact power of the power tool can be further automatically generated according to the working mode of the power tool.
  • the smart mobile terminal can automatically generate the rotation speed and torque of the power tool; when the power tool is in the impact mode, the smart mobile terminal can automatically generate the torque and impact power of the power tool.
  • the material of the target working object of the power tool, the target hole diameter and the working mode are four more important working condition parameters.
  • the user can work according to the actual work of the power tool Need to select the corresponding working condition parameters. It should be noted that it is not necessary to set all the above working condition parameters in each working process. Specifically, when a certain working condition parameter does not need to be set, you can use the corresponding interface of the terminal Select "Skip".
  • the working condition environment is to punch holes on a wooden desk
  • you can set all the working condition parameters in the terminal including the target work object material is wood, the target hole diameter is 1.6mm, and the working mode is drilling mode
  • the working condition environment is that when screwing into a hole in a wooden desk, you do not need to set all the working condition parameters in the terminal. At this time, you can only input the material of the target work object as wood in the terminal, and the working mode is screw Mode.
  • control method of the electric tool may include the following steps:
  • Step S202 Obtain one or more working condition parameters in the material of the target working object of the power tool, the target hole diameter and the working mode.
  • the smart mobile terminal can obtain the working condition parameters of the power tool through direct input, where the working condition parameters of the power tool can include the material of the target working object of the power tool and the target Hole diameter and working mode.
  • the user before each work of the power tool, the user can select the corresponding working condition parameters according to the actual work requirements of the power tool. It should be noted that it is not necessary to set all of the above in each work process. Working condition parameters, when a certain working condition parameter does not need to be set, you can select "Skip" in the corresponding interface of the smart mobile terminal.
  • Step S204 Generate one or more parameters of the working mode, speed, torque, and impact power of the electric tool according to one or more operating condition parameters and the correspondence between the preset operating condition parameters and the operating parameters.
  • each set of working condition parameters of the power tool corresponds to a set of operating parameters.
  • the present invention obtains the material of the target working object through multiple sets of experiments, the target hole diameter and the speed, torque and impact power of the power tool. Relationship, under different materials, different aperture sizes correspond to different speeds, torques and impact powers, and this one-to-one correspondence is made into a correspondence table. Please refer to Figure 5 for the working condition parameters and operating parameters.
  • the corresponding relationship table when the material is steel plate, the aperture is A1, the corresponding speed is N1, the torque is T1, and the impact power is P1; when the aperture is A2, the corresponding speed is N2, the torque is T2, and the impact power is P2; When the material is plastic, the aperture is A11, the corresponding speed is N11, the torque is T11, and the impact power is P11; when the aperture is A12, the corresponding speed is N12, the torque is T12, and the impact power is P12. For wood, different apertures correspond to different speeds, torques, and impact power.
  • the correspondence table is pre-stored in the smart mobile terminal.
  • the pre-stored correspondence relationship can be based on the material information and / or aperture size information Look up at least one operating parameter in the corresponding speed, torque, or impact power in the table.
  • the material information and / or aperture size information Look up at least one operating parameter in the corresponding speed, torque, or impact power in the table.
  • the smart mobile terminal obtains the working condition parameter, the corresponding relationship
  • the table looks up the parameter information such as speed or torque under the working condition, and sends the parameter information to the power tool.
  • the working mode of the power tool may be acquired through the terminal, or may be automatically generated.
  • Step S206 Send one or more operating parameters of the power tool to the power tool through one or more communication technologies of wired communication, WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication.
  • wired communication WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication.
  • the smart mobile terminal and the power tool can communicate through one or more communication technologies of wired communication, WIFI, ZIGBEE, Bluetooth, short-range wireless communication, and infrared communication.
  • WIFI wireless communication
  • ZIGBEE ZigBee
  • Bluetooth short-range wireless communication
  • infrared communication A common and convenient way is to use WIFI or Bluetooth technology for communication.
  • WIFI or Bluetooth technology can not only effectively use the terminal's own communication equipment, but also can quickly and quickly transfer data, so it can be used as the preferred solution in this embodiment.
  • the electric power tool needs to be provided with a wired communication module or a wireless communication module adapted to the smart mobile terminal to receive one or more operating parameters sent by the smart mobile terminal.
  • the smart mobile terminal 110 can obtain the type information of the target working object of the power tool through direct input, and generate operation parameters of the power tool according to the type information of the target working object.
  • FIG. 7 is a schematic flowchart of a power tool control method according to a third embodiment of the present invention.
  • the control method includes:
  • Step S11 Acquire the type information of the work object in the category catalog of the smart mobile terminal.
  • the category target is configured to classify the type of the target work object according to a preset classification table.
  • step S11 further includes:
  • S111 Display the main page, which displays the material information of the target working object
  • S112 Obtain the user's selection operation on the material information, and enter a sub-page according to the selected material information, where the sub-page displays the size information of the target hole diameter.
  • the main category directory shown in Figure 4a includes the type information of the board, such as steel plate, plastic, wood board, plasterboard and ceramic tile. , Cement reinforced concrete and other materials.
  • the user selects the corresponding main category catalog according to his needs, such as selecting wooden boards.
  • a sub-page is entered according to the selected main category, and the sub-page displays sub-category targets, such as the size of the drill hole diameter under the wood board material.
  • the sub-category target can also be divided into multiple levels, then the sub-pages also include multi-level sub-pages, so that the user can choose more accurately and conveniently. I want type information.
  • the main page is provided with a search area, and users can search for type information through keywords in the search area, such as searching for different materials and different aperture sizes, which greatly improves the user's search efficiency and improves user satisfaction.
  • the type information of the present invention may be preset and stored in the intelligent mobile terminal.
  • the type information cannot be modified by the user, as shown in the main category catalog and sub-category catalog shown in Figures 4a and 4b, and the corresponding table in Figure 5, the target work object's material, aperture size and tool speed, torque and impact power are
  • the type of material and the size of the aperture are preset in the correspondence table, and the corresponding operating parameters are obtained by looking up the table according to the actual material and the size of the aperture.
  • the type information can be entered by the user according to the actual needs of the user. For example, when the size of the aperture actually encountered by the user cannot be looked up from the correspondence table, it is used to adjust the speed, torque or impact power according to experience, and enter the material information and the corresponding speed, torque and impact power into the intelligent mobile In the terminal, it is convenient for other users to use.
  • step S21 the user's selection operation on the category directory is obtained, and the operation parameter corresponding to the type information is obtained from the correspondence table between the type information and the operation parameter set in advance according to the selected type information.
  • the user of the present invention selects the type information such as the material of the target working object and the diameter of the target punching hole diameter through the main category catalog and the sub-category catalog, and obtains the type from the correspondence table of the preset type information and operating parameters according to the selected type information The operating parameters corresponding to the information.
  • Step S30 Send the operating parameters to the electric tool, so that the electric tool performs corresponding actions according to the operating parameters.
  • the user selects the material information of the target working object and the size information of the target hole diameter through the intelligent mobile terminal, automatically generates the operating parameters of the electric tool based on the acquired information, and transmits the operating parameters to the electric tool to control the electric
  • the tool performs the corresponding action.
  • the parameter setting is more precise, avoiding the operator who is not familiar with the tool, it is necessary to try multiple times according to the working conditions, in order to adjust the working state of the tool to the optimal, less time for the operator to trial and error, and improve work efficiency.
  • the material of the target working object of the power tool can be calculated by an image recognition algorithm to obtain the material of the target working object.
  • FIG. 10 which is a schematic flowchart of a control method of a power tool according to a fourth embodiment of the present invention. The specific control method is as follows:
  • step S101 an image of a target working object is captured through an intelligent mobile terminal.
  • the power tool control method of the present invention captures the image of the target working object through an intelligent mobile terminal. Since a background image irrelevant to the material of the target working object may be captured during the process of taking a picture, the background image may interfere with the target Identification of the material of the working object. Therefore, in order to prevent the occurrence of the interference, the present invention selects the target image area to be recognized in the image of the target working object after the image of the target working object is captured.
  • Step S102 Perform image recognition on the image of the target working object to obtain the type information of the target working object.
  • the image recognition module performs image recognition on the target image area selected by the frame to obtain the material information of the target work object, that is, the target work object .
  • Step S22 generating operation parameters of the power tool according to the type information of the target working object.
  • the intelligent mobile terminal of the present invention can recognize the material of the target working object obtained, and the correspondence table between the material of the target working object and the operating parameters is pre-stored in the intelligent mobile terminal, and the table corresponding to the identified material can be obtained by looking up the table Operating parameters.
  • Step S30 Send the operating parameters to the electric tool, so that the electric tool performs corresponding actions according to the operating parameters.
  • the smart mobile terminal can send the generated operating parameters to the electric tool through wired or wireless communication means.
  • the electric tool parses and configures the operating parameters, and then according to the configuration inside the electric tool
  • the operating parameters of the power tool control the corresponding actuators on the power tool to perform corresponding actions.
  • the power tool can perform drilling or screwing at a certain speed and torque according to the configured operating parameters.
  • step S102 the following steps are further included before performing image recognition on the image of the target work object:
  • the initial deep learning network model of the present invention is a convolutional neural network model. The model is trained. Different materials are set in different categories. Unknown materials are set in a separate category to obtain convolutional nerves that can recognize different materials. Network model.
  • the target image area is framed, and the part of the target image area is input into the recognition module composed of the convolutional neural network to obtain the material information of the target working object. If the material is not in the training database, the smart mobile terminal will inform the user that the material is unknown.
  • the category of the database can be increased by the user input manually, and the convolutional neural network model can recognize the material next time through learning.
  • step S102 performing image recognition on the image of the target working object and obtaining the type information of the target working object include:
  • the captured image of the target working object is input to the material image recognition module, and the material information of the target working object is output after being recognized by the material image recognition module.
  • the image of the target working object includes an image of a checkerboard and an existing hole to be measured.
  • the intelligent mobile terminal can also recognize the size of the aperture of the target working object.
  • the specific identification method is as follows:
  • the images of the checkerboard and the existing holes are taken.
  • the size of the hole diameter of the existing hole needs to be identified, and the present invention uses measurement
  • the tool checkerboard is used for auxiliary measurement, and the checkerboard and the target aperture are placed on the same plane, so that the checkerboard will not block the target aperture, that is, the target aperture is placed on the left or right or front and back sides of the checkerboard.
  • the shooting of the intelligent mobile terminal includes the checkerboard and the target Aperture photo.
  • the user inputs the size of each grid in the checkerboard grid and the number of checkerboard grids in the smart mobile terminal.
  • the user inputs the size of each grid in the checkerboard grid and the number of checkerboard grids in the smart mobile terminal.
  • a variety of common checkerboards of different numbers and sizes can be stored in the smart mobile terminal in advance, and the user can select a checkerboard of corresponding size on the smart mobile terminal according to the actual application of the checkerboard to obtain the actual application The size of each checkerboard grid and the number of checkerboard grids.
  • the size of the checkerboard in the image of the target working object is calculated by the corner information, and the distance information represented by a single pixel is calculated according to the size of the checkerboard.
  • the corner point is the intersection of the horizontal line and the vertical line of the checkerboard grid, and the number of pixels between the two corner points is calculated, and the number of pixels between the two corner points represents the image of the two corner points.
  • the size is the image size corresponding to each grid of the checkerboard grid. According to the actual size of the checkerboard input by the user or according to the actual size of the checkerboard selected by the user on the smart mobile terminal and the number of pixels between two corner points, the distance information represented by a single pixel is calculated.
  • the smart mobile terminal reads the number of pixels corresponding to the diameter of the aperture, and calculates the actual distance data of the aperture according to the distance information represented by the single pixel calculated above and the number of pixels corresponding to the diameter of the aperture. For example, if the size of each grid of the checkerboard entered by the user is 30cm, and the number of pixels between two corner points is 280 pixels, the distance represented by a single pixel is 30/280, and the diameter of the read aperture corresponds to The number of pixels is N, then the actual distance represented by the diameter of the aperture is 30N / 280. Display the calculation result through the smart mobile terminal.
  • the step of obtaining the number of pixels corresponding to the diameter of the aperture includes:
  • the invention selects the aperture area to be identified in the image of the target working object after the image of the target working object is captured. Based on this area, adaptive binary processing is performed to find the corresponding circular contour.
  • the aperture area and the background area can be distinguished, the number of pixels corresponding to the diameter of the aperture of the aperture area is read, and the size of the aperture area in the image is expressed by the number of pixels.
  • FIG. 11 is an internal structure diagram of a computer device according to a sixth embodiment of the present invention.
  • the computer device may be an intelligent mobile terminal.
  • the computer equipment includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus.
  • the processor of the computer device is used to provide computing and control capabilities.
  • the memory of the computer device includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system and computer programs.
  • the internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium.
  • the network interface of the computer device is used to communicate with external terminals through a network connection.
  • the computer program is executed by the processor to realize a control method of the electric tool.
  • the display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen
  • the input device of the computer device may be a touch layer covered on the display screen, or may be a button, a trackball or a touchpad provided on the computer device housing , Can also be an external keyboard, touchpad or mouse.
  • FIG. 11 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied.
  • the specific computer device may Include more or less components than shown in the figure, or combine certain components, or have a different arrangement of components.
  • a computer device which includes a memory and a processor.
  • a computer program is stored in the memory, and the processor implements the following steps when the processor executes the computer program:
  • the processor also implements the following steps when executing the computer program:
  • the processor also implements the following steps when executing the computer program:
  • the work mode, speed, torque and One or more parameters in impact power are The work mode, speed, torque and One or more parameters in impact power.
  • the processor also implements the following steps when executing the computer program:
  • the processor also implements the following steps when executing the computer program:
  • the material of the target working object is calculated by the image recognition algorithm.
  • Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain (Synchlink) DRAM
  • SLDRAM synchronous chain (Synchlink) DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM
  • FIG. 12 is a schematic structural diagram of a power tool system in a seventh embodiment of the present invention.
  • the power tool system includes a power tool and an intelligent mobile terminal that communicates with the power tool.
  • the power tool system further includes a working condition parameter acquisition module 301, an operating parameter generation module 302, a communication module 303, and a control module 304, wherein the operating condition parameter acquisition module 301 is located in the intelligent mobile terminal and is used to obtain the operating condition parameters of the electric tool; , Used to generate the operating parameters of the power tool according to the operating parameters; the communication module 303 is used to send the operating parameters generated in the intelligent mobile terminal to the power tool; the control module 304 in the power tool receives the operating parameters transmitted by the communication module, according to The operation parameters perform corresponding actions.
  • the system further includes a storage module, the storage module is further configured to store a category directory, the category directory is configured to set the target work object type according to a preset Classification table classification.
  • the storage module is configured to store a main page and a sub-page, the main page displays the material information of the target working object; the sub-page displays the size information of the target drilling aperture.
  • the system further includes a search module configured to search the material of the target work object.
  • the working condition parameter acquisition module 301 further includes an image acquisition module 311 and an image recognition module 312, wherein the image acquisition module 311 is used to acquire images of the target working object of the power tool;
  • the recognition module 312 is used to process the collected image, extract the feature data of the image, input the feature data to the target work object classification table, and output the type of the target work object.
  • FIG. 13 is a structural block diagram of a working condition parameter acquisition module in an eighth embodiment of the present invention.
  • the image recognition module 312 includes a model establishment module 322 and a material image recognition module 323, wherein the model establishment module 322 is used to Acquire a large number of material images of the target work object, set labels for the material images according to the material information, construct a labeled material image database, and construct an initial deep learning network model; the material image recognition module 323 is connected to the image acquisition module 311 Based on the deep learning network model, the material image recognition module 323 is used to perform material recognition based on the acquired image of the target working object and determine material information.
  • FIG. 14 is a structural block diagram of a working condition parameter acquisition module in the ninth embodiment of the present invention.
  • the image acquisition module 311 is also used to acquire target images including a checkerboard grid and an aperture.
  • the image recognition module 321 also includes a parameter acquisition module 324 and a distance calculation module 325, where the parameter acquisition module 324 is used to acquire the size of each grid in the checkerboard grid and the number of checkerboard grids; the distance calculation module 325 calculates the target image from the corner information Check the size of the checkerboard, calculate the distance information represented by a single pixel according to the size of the checkerboard, obtain the number of pixels corresponding to the diameter of the aperture, and calculate the size information of the aperture.
  • the working condition parameter acquisition module is also used to acquire the type information of the target work object in the category catalog confirmed by the user;
  • the operation parameter generation module is also used to The type information obtains the operation parameters corresponding to the type information from a preset table of type information and operation parameters of the target work object, and the communication module is used to wirelessly transmit the operation parameters generated by the operation parameter generation module to the power tool After the power tool receives the operating parameters, the control module of the power tool controls the power tool to perform the corresponding action.

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Abstract

一种电动工具的控制方法、电动工具和电动工具系统。方法包括：获取电动工具的工况参数（S10）；根据工况参数生成电动工具的运行参数（S20）；将运行参数发送至电动工具上，以使电动工具根据运行参数执行相应动作（S30）。电动工具的控制方法，通过获取电动工具的工况参数，即可自动生成电动工具的运行参数并将该运行参数自动发送给电动工具，使电动工具可以根据接收到的运行参数执行相应的工作任务，从而使电动工具无需人工的不断调节和试错环节即可应用，节省了人力的同时也提高了电动工具的智能化程度以及电动工具的使用寿命。

Description

电动工具的控制方法、电动工具及系统
本申请要求了申请日为2018年10月10日，申请号为201811178835.0，发明名称为“电动工具的控制方法、装置、电动工具和计算机设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及电动工具领域，特别是涉及一种电动工具的控制方法、电动工具及系统。
背景技术
随着科学技术的发展，电动工具因其省时省力的特点受到了越来越广泛的应用。以一些手持式电动工具为例，通常包括电钻、电动螺丝刀、电锤以及冲击钻等，这些电动工具在给使用者带来便利的同时也带来了一些使用的困惑。例如，使用电钻类电动工具之前，通常需要根据电动工具的钻孔对象和孔径大小来调节电动工具的转速、扭矩和冲击功率等参数，如这些参数设置的不得当，就会导致电动工具的工件损坏或者电机被烧毁。
在现有技术中，使用者通常会考虑实际工况并根据自身的经验调节电动工具各项参数，但是，对于经验不丰富的使用者来说，通常需要经过不断的调节和试错才能够调试出适合的参数，这样会给使用者带来诸多不便，并且也会影响到电动工具的使用寿命，同时，若由电动工具本身将工况参数转化为电机运行的运行参数，对电动工具的硬件或者软件要求比较高，会增加电动工具的成本。
发明内容
基于此，有必要针对上述问题，提供一种可以根据智能移动终端获取电动工具的工况信息，并将其转化为电机的运行参数，将该运行参数发送给电动工具，控制电机运行的一种电动工具的控制方法、电动工具和电动工具系统。
一种电动工具控制方法，所述方法包括：获取所述电动工具的工况参数；根据所述工况参数生成所述电动工具的运行参数；将所述运行参数发送至所述电动工具上，以使所述电动工具根据所述运行参数执行相应动作。
优选的，所述获取所述电动工具的工况参数，根据所述工况参数生成所述电动工具的运行参数的步骤包括：通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息；根据所述目标工作对象的类型信息生成所述电动工具的运行参数。
优选的，所述目标工作对象的类型信息包括目标工作对象的材质和/或目标打孔孔径。
优选的，所述运行参数包括所述电动工具的转速、扭矩和冲击功率中的至少一种。
优选的，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：获取智能移动终端的类别目录下的所述目标工作对象的类型信息，所述类别目录被配置为将所述目标工作对象的类型按照预先设定的分类表分类。
优选的，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：获取用户在智能移动终端上搜索的所述目标工作对象的类型信息。
优选的，所述目标工作对象的类型信息通过如下方法之一进行设定：所述目标工作对象的类型信息为预先设定的类型信息；所述目标工作对象的类型信息由用户根据实际需要录入设定。
优选的，所述根据所述工况参数生成所述电动工具的运行参数的步骤包括：获取用户对类别目录的选择操作，根据被选择的类型信息从预先设置的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数。
优选的，所述获取智能移动终端的类别目录下的所述目标工作对象的类型信息，所述类别目录被配置为将所述目标工作对象的类型按照预先设定的分类表分类的步骤包括：显示主页面，所述主页面显示所述目标工作对象的材质信息；获取用户对主页面材质信息的选择操作，根据被选择的材质信息别进入子页面，所述子页面显示目标打孔孔径的尺寸信息。
优选的，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：通过智能移动终端拍摄所述目标工作对象的图像；对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息。
优选的，所述通过智能移动终端拍摄所述目标工作对象的图像的图像；对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：通过智能移动终端拍摄所述目标工作对象的图像，在所述目标工作对象的图像中框选出要识别的目标图像区域；对所述目标图像区域进行图像识别，识别所述目标工作对象的类型信息。
优选的，所述目标工作对象的类型信息为材质信息，所述对所述目标工作对象的图像进行图像识别之前还包括：获取大量目标工作对象的材质图像，根据材质信息分别为所述材质图像设定标签，建立带标签的材质图像数据库，构建初始深度学习网络框架；将所述材质图像数据库中材质图像输入初始深度学习网络框架，训练获得由深度学习网络模块组成的材质图像识别模块。
优选的，所述对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：将所述目标工作对象的图像输入到所述材质图像识别模块，经材质图像识别模块识别后输出目标工作对象的材质信息。
优选的，所述深度学习网络模型为卷积神经网络模型。
优选的，所述目标工作对象的图像包括待测的棋盘格和已有的孔的图像，所述目标工作对象的类型信息为孔径的大小信息，所述对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：获取棋盘格中每个格子的尺寸及棋盘格格子的数目；通过角点信息计算目标工作对象的图像中棋盘格的尺寸，根据所述棋盘格的尺寸计算单个像素表示的距离信息；获取孔径的直径对应的像素的个数，计算并输出孔径的大小信息。
优选的，所述获取孔径的直径对应的像素的个数的步骤包括：在目标工作对象的图像中框选出要识别的孔径区域，对该区域进行自适应二值化处理来区分孔径区域与背景图像；获取二值化处理后的孔径区域中孔径的直径对应的像素的个数。
优选的，所述将所述运行参数发送至所述电动工具上的步骤包括：通过有线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术将所述电动工具的转速、扭矩和冲击功率中的一个或多个参数发送至所述电动工具上。
优选的，所述电动工具包括电钻、电锤、冲击钻、多功能钻和冲击扳手中的任一种。
一种电动工具，包括壳体，设置于壳体内的电机以及由电机驱动的传动机构，所述电动工具还包括：通信模块，用于接收所述运行参数；控制模块，用于解析和配置所述运行参数，并根据所述运行参数控制所述电机以及所述传动机构执行相应动作。
一种电动工具系统，包括电动工具及与所述电动工具进行通信的智能移动终端，所述电动工具系统还包括：工况参数获取模块，位于智能移动终端内，用于获取所述电动工具的工况参数；运行参数生成模块，位于智能移动终端内，用于根据所述工况参数生成所述电动工具的运行参数；通信模块，用于将在智能移动终端内生成的运行参数发送至所述电动工具上；控制模块，位于所述电动工具内，用于接收通信模块传输的运行参数，根据所述运行参数执行相应动作。
优选的，所述工况参数获取模块还包括：图像采集模块，用于采集所述电动工具的目标工作对象的图像；图像识别模块，对采集的所述图像进行处理，提取图像的特征数据，将所述特征数据输入到目标工作对象分类表，输出目标工作对象的类型信息。
优选的，所述图像识别模块还包括：模型建立模块，获取的大量目标工作对象的材质图像，根据材质信息分别为所述材质图像设定标签，构建带标签的材质图像数据库，构建初始深度学习网络框架；材质图像识别模块，与所述图像采集模块连接，由深度学习网络模型组成，用于根据所获取的所述目标工作对象的图像进行材质识别，确定材质信息，其中，所述深度学习网络模型基于所述材质图像数据库中材质图像输入到始深度学习网络框架，训练获得。
优选的，所述图像采集模块还用于采集包括棋盘格和孔径的目标图像，所述图像识别模块还包括：参数获取模块，用于获取棋盘格中每个格子的尺寸及棋盘格格子的数目；距离计算模块，通过角点信息计算目标图像中棋盘格的尺寸，根据所述棋盘格的尺寸计算单个像素表示的距离信息，获取孔径的直径对应的像素的个数，计算孔径的大小信息。
优选的，所述工况参数获取模块还用于获取经用户确认的类别目录下的所述目标工作对象的类型信息；所述运行参数生成模块，还用于根据被选择的所述类型信息从预先设置的目标工作对象的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数。
优选的，所述系统还包括存储模块，所述存储模块还被配置为存储类别目录，所述类别目录将所述目标工作对象的类型按照预先设定的分类表分类，所述存储模块还用于存储预先设置的目标工作对象的类型信息与运行参数的对应表。
优选的，所述通信模块包括线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种。
优选的，一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，所述处理器执行所述计算机程序时实现上述任一项所述控制方法的步骤。
与现有技术相比，本发明的有益效果是：本发明电动工具的控制方法，电动工具及电动工具系统，通过智能移动终端获取电动工具的工况参数，并将工况参数转化成工具的运行参数，通过通信技术将运行参数传输给电动工具，电动工具根据运行参数执行相应的动作。本发明通过智能移动终端获取工况参数，根据工况参数自动生成运行参数，将运行参数发送给电动工具，无需电动工具将工况参数转化为运行参数，降低了电动工具的成本，同时对于经验不丰富的使用者来说，无需人工不断的调节和试错环节即可应用，节省了人力，提高了工作效率，也提高了电动工具的智能化程度，防止用户在人工操作时，不断的调节运行参数，浪费了工作时间，同时造成工具的损坏。
附图说明
以上所述的本发明的目的、技术方案以及有益效果可以通过下面附图实现：
图1为本发明一实施例中电动工具的控制方法的应用环境图；
图2为本发明第一实施例中电动工具的控制方法的流程示意图；
图3为本发明第二实施例中电动工具的控制方法的流程示意图；
图4a为本发明一个实施例中主类别目标，图4b为本发明一个实施例中子类别目录；
图5为本发明工况参数与运行参数的对应关系表；
图6为本发明一个实施例中电动工具的控制方法的应用场景图；
图7为本发明第三实施例中的电动工具的控制方法的流程示意图；
图8为图7中步骤S11的具体流程示意图；
图9为本发明另一实施例中电动工具的控制方法的应用场景图；
图10为本发明第四实施例中的电动工具的控制方法的流程示意图；
图11为本发明第六实施例中计算机设备的内部结构图；
图12为本发明第七实施例中电动工具系统的结构示意图；
图13为本发明第八实施例中工况参数获取模块的结构框图；
图14为本发明第九实施例中工况参数获取模块的结构框图。
具体实施方式
为使本发明的上述目的、特征和优点能够更加明显易懂，下面结合附图对本发明的具体实施方式做详细的说明。在下面的描述中阐述了很多具体细节以便于充分理解本发明。但是本发明能够以很多不同于在此描述的其它方式来实施，本领域技术人员可以在不违背本发明内涵的情况下做类似改进，因此本发明不受下面公开的具体实施的限制。
除非另有定义，本文所使用的所有的技术和科学术语与属于本发明的技术领域的技术人员通常理解的含义相同。本文中在本发明的说明书中所使用的术语只是为了描述具体的实施例的目的，不是旨在于限制本发明。以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
本申请提供的电动工具的控制方法，可以应用于如图1所示的应用环境中。其中，智能移动终端110与电动工具120可以通过有线、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术进行通信。具体的，智能移动终端110用于自动识别所述电动工具120的目标工作对象的类型，并根据所述目标工作对象的类型获取电动工具120的工况参数，并根据工况参数生成对应的电动工具120的运行参数，然后将运行参数发送至电动工具120上，使电动工具120可以根据运行参数执行相应动作，如钻孔或拧螺丝等。其中，智能移动终端110可以但不限于是各种个人计算机、笔记本电脑、智能手机、平板电脑和便携式可穿戴设备，电动工具120可以但不限于是各种电钻、电锤、冲击钻、多功能钻和冲击扳手等手持式电钻类电动工具。
在本发明的一实施例中，请参考图2所示为本发明第一实施例的电动工具控制方法的流程示意图。本申请首先提供了一种电动工具控制方法，以该方法应用于图1中的智能移动终端110和电动工具120为例进行说明，包括以下步骤：
步骤S10：获取电动工具的工况参数。
其中，工况指的是与电动工具直接相关的工作环境或目标工作状态，进一步的，工况参 数则指的是与电动工具的工作环境或目标工作状态相关的参数，例如工况参数具体可以是电动工具目标工作对象的类型信息，包括电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的至少一种。具体的，智能移动终端110可以通过直接输入或者图像识别等方式获取到电动工具的目标工作对象的类型信息。
步骤S20：根据工况参数生成电动工具的运行参数。
其中，运行参数指的是与电动工具运行状态相关的参数，这些运行参数可以直接关系到电动工具的工作模式以及动力情况，影响到电动工具的工作效果。在本实施例中，运行参数的设定与工况参数息息相关，即不同的工况环境就应对应着电动工具不同的运行状态。具体的，智能移动终端可以根据输入的工况参数或者说目标工作对象的类型信息自动生成电动工具的运行参数，也可以通过智能移动终端自动识别目标工作对象的类型信息。
步骤S30：将运行参数发送至电动工具上，以使电动工具根据运行参数执行相应动作。
具体的，智能移动终端可以通过有线或无线等通讯手段将生成的运行参数发送到电动工具上，电动工具在接收到运行参数后，会对运行参数进行解析和配置，然后根据配置在电动工具内部的运行参数控制电动工具上相应的执行机构执行相应的动作，例如，电动工具可以根据配置后的运行参数以一定的转速和扭矩进行钻孔或拧螺丝等工作。
上述电动工具的控制方法，智能移动终端通过获取电动工具的工况参数，即可自动生成电动工具的运行参数并将该运行参数自动发送给电动工具，使电动工具可以根据接收到的运行参数执行相应的工作任务。上述控制方法，电动工具的运行参数利用智能移动终端中的程序自动生成，生成后的运行参数传输给电动工具，无需电动工具对工况参数进行转化为运行参数，节约了成本，同时无需人工的不断调节和试错环节即可应用，节省了人力的同时也提高了电动工具的智能化程度以及电动工具的使用寿命。
在一个实施例中，电动工具的工况参数包括电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的至少一种，进一步的，图1中的步骤S10中获取电动工具的工况参数可以包括如下步骤：获取电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的一个或多个参数。
在本发明上述实施例中，电动工具的运行参数包括电动工具的工作模式、转速、扭矩和冲击功率，进一步的，步骤S20中根据工况参数生成电动工具的运行参数可以包括如下步骤：根据电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的一个或多个参数以及预设的工况参数与运行参数之间的对应关系生成电动工具的工作模式、转速、扭矩和冲击功率中的一个或多个参数。
在本发明中，电动工具的每一组工况参数均对应了一组运行参数，即工况参数与运行参 数之间的对应关系是预设在智能移动终端中的，当智能移动终端获取到一个或多个工况参数后，可以根据该预设的工况参数与运行参数之间的对应关系生成电动工具的运行参数，其中，运行参数可以是电动工具的工作模式、转速、扭矩和冲击功率中的一个或多个。在本实施例中，电动工具的工作模式可以是通过智能移动终端获取到的，也可以是自动生成的。例如，当智能移动终端获取到的目标工作对象的材质为平滑的木板时，生成的电动工具的工作模式为钻模式；当智能移动终端获取到的目标工作对象的材质为带有钻孔的木板时，生成的电动工具的工作模式为拧模式；当智能移动终端获取到的目标工作对象的材质为坚硬的水泥墙时，生成的电动工具的工作模式为冲击模式。其他运行参数例如电动工具的转速、扭矩和冲击功率等，可以进一步根据电动工具的工作模式自动生成。例如，当电动工具为钻模式和拧模式时，智能移动终端可以自动生成电动工具的转速和扭矩；当电动工具为冲击模式时，智能移动终端可以自动生成电动工具的扭矩和冲击功率。
在本实施例中，电动工具的目标工作对象的材质、目标打孔孔径和工作模式是四个比较重要的工况参数，在每一次电动工具工作之前，使用者都可以根据电动工具的实际工作需求选择相应的工况参数，需要说明的是，不必在每一次的工作过程中均设置上述所有的工况参数，具体的，当某一个工况参数无需设置时，可以在终端的相应界面中选择“跳过”。例如，当工况环境为在木质书桌上打孔时，可以在终端中设置全部的工况参数，包括目标工作对象的材质为木质，目标打孔孔径为1.6mm，工作模式为钻模式；当工况环境为在木质书桌的钻孔中拧入螺丝时，则不需要在终端中设置全部的工况参数，此时，可以仅在终端中输入目标工作对象的材质为木质，工作模式为拧模式即可。
在本发明的第二实施例中，如图3所示，电动工具的控制方法可以包括以下步骤：
步骤S202：获取电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的一个或多个工况参数。
具体的，如图4a、图4b所示，智能移动终端可以通过直接输入的方式获取电动工具的工况参数，其中，电动工具的工况参数可以包括电动工具的目标工作对象的材质、目标打孔孔径和工作模式。在本实施例中，在每一次电动工具工作之前，使用者都可以根据电动工具的实际工作需求选择相应的工况参数，需要说明的是，不必在每一次的工作过程中均设置上述所有的工况参数，当某一个工况参数无需设置时，可以在智能移动终端的相应界面中选择“跳过”。
步骤S204：根据一个或多个工况参数以及预设的工况参数与运行参数之间的对应关系生成电动工具的工作模式、转速、扭矩和冲击功率中的一个或多个参数。
具体的，电动工具的每一组工况参数均对应了一组运行参数，本发明通过多组实验获取 目标工作对象的材质，目标打孔孔径与电动工具的转速，扭矩和冲击功率之间的关系，不同的材质下，不同的孔径大小对应不同的转速，扭矩和冲击功率，并将这种一一对应关系制成对应关系表，请参考图5所示为工况参数与运行参数之间的对应关系表，材质为钢板时，孔径为A1时，对应的转速为N1，扭矩为T1，冲击功率为P1；孔径为A2时，对应的转速为N2，扭矩为T2，冲击功率为P2；当材质为塑料时，孔径为A11时，对应得转速为N11，扭矩为T11，冲击功率为P11；孔径为A12时，对应的转速为俄N12，扭矩为T12，冲击功率为P12，同理当材质为木材时，不同的孔径对应不同的转速，扭矩和冲击功率。所述对应关系表是预先存储在智能移动终端中的，当智能移动终端获取到材质信息、孔径大小信息中的至少一个后，可以根据该材质信息和/或孔径大小信息在预先存储的对应关系表中查找对应的转速，扭矩，或者冲击功率中的至少一个运行参数。例如，请参考图4a，4b所示，当用户要钻孔时，通过智能移动终端的界面手动选择材质为木制，孔径大小为3.3时，智能移动终端获取该工况参数后，根据对应关系表查找该工况下的转速，或者扭矩等参数信息，并将该参数信息发送给电动工具。在本实施例中，电动工具的工作模式可以是通过终端获取到的，也可以是自动生成的。
步骤S206：通过有线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术将电动工具的一个或多个运行参数发送至电动工具上。
具体的，如图6所示，智能移动终端和电动工具之间可以通过有线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术进行通信，其中，较为常用和便利的方式是采用WIFI或蓝牙技术进行通信，这两种通信方式既可以有效的利用终端自有的通信设备，又能够及时迅速的传递数据，因此可以作为本实施例中的优选方案。可以理解的是，电动工具需要设置与智能移动终端相适配的有线通信模块或无线通信模块，以接收智能移动终端发送的一个或多个运行参数。
本发明中，智能移动终端110可以通过直接输入的方式获取到电动工具的目标工作对象的类型信息，根据目标工作对象的类型信息生成电动工具的运行参数。在本发明的一实施例中，请参考图7所示为本发明第三实施例的电动工具控制方法的流程示意图。所述控制方法包括：
步骤S11，获取智能移动终端的类别目录下的工作对象的类型信息。所述类别目标被配置为将目标工作对象的类型按照预先设定的分类表分类。在本发明的其中一实施例中，请参考图8所示，步骤S11还包括：
S111：显示主页面，所述主页面显示目标工作对象的材质信息；
S112：获取用户对材质信息的选择操作，根据被选择的材质信息进入子页面，所述子页 面显示目标打孔孔径的尺寸信息。
S113：获取子页面显示的类型信息。
请参考图4a，4b所示分别为任务类型的主类别目录和子类别目录，如图4a所示的主类别目录，包括板材的类型信息，如钢板，塑料，木板，还可包括石膏板，瓷砖，水泥钢筋混凝土等材质。
用户根据需要选择相应的主类别目录，比如选择木板。如图4b所示，根据被选择的主类别进入子页面，该子页面显示子类别目标，比如在木板材料下，钻孔孔径的大小。可以理解的是，对于不同复杂程度的分类而言，该子类别目标也可以分为多个层级，那么子页面也相应的也包括多级子页面，从而能够方便用户更加精准而方便的选择其想要类型信息。
进一步地，获取类型信息还可以在主页面搜索预先存储的相关的类型，指导找到符合要求的类型信息。具体的，主页面设置有搜索区域，用户可在搜索区域通过关键字搜索类型信息，例如搜索不同的材质，不同的孔径大小，这样极大的提高了用户的搜索效率，提高用户的满意度。
进一步的，本发明类型信息可预先设置并存储在智能移动终端中。此情况下，类型信息用户不可修改，如图4a、4b所示的主类别目录和子类别目录，以及图5的对应表，目标工作对象的材质，孔径大小与工具的转速，扭矩和冲击功率为一一对应关系，其中，材质的类型和孔径的大小预先设置在对应表中，根据实际材质和孔径的大小查表获取对应的运行参数。
进一步的，类型信息可根据用户的实际需求由用户录入。例如，当用户实际碰到的孔径的大小无法从对应表中查找时，用于可根据经验调节转速、扭矩或者冲击功率，并将该材质信息和对应的转速，扭矩和冲击功率录入到智能移动终端中，以便于其他用户使用。
步骤S21，获取用户对类别目录的选择操作，根据被选择的类型信息从预先设置的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数。
本发明用户通过主类别目录和子类别目录选择目标工作对象的材质和目标打孔孔径的直径等类型信息，根据所述选择的类型信息从预先设置的类型信息与运行参数的对应表中获取该类型信息对应的运行参数。
步骤S30：将运行参数发送至电动工具上，以使电动工具根据运行参数执行相应动作。
本发明的上述实施例用户通过智能移动终端选择目标工作对象的材质信息和目标打孔孔径的尺寸信息，根据获取的信息自动生成电动工具的运行参数，并将运行参数传输给电动工具，控制电动工具执行相应的动作。参数的设置更加精确，避免对工具不熟悉的操作者，需要根据工况多次尝试，才能将工具的工作状态调整到最优，较少了操作者试错的时间，提高了工作效率。
在本发明的其中一个实施例中，请参考图9所示，获取电动工具的目标工作对象的材质可以通过图像识别算法计算得出目标工作对象的材质。具体的，请参考图10所示为本发明第四实施例的电动工具的控制方法的流程示意图，具体的控制方法如下：
步骤S101，通过智能移动终端拍摄目标工作对象的图像。
本发明的电动工具控制方法通过智能移动终端拍摄所述目标工作对象的图像，由于拍摄图片的过程中，可能会拍摄到与目标工作对象的材质无关的背景图像，该背景图像可能会干扰到目标工作对象的材质的识别。因此，本发明为了防止该干扰情况的发生，当拍摄到目标工作对象的图像后，在目标工作对象的图像中框选出要识别的目标图像区域。
步骤S102，对目标工作对象的图像进行图像识别，获取目标工作对象的类型信息。
本发明所述电动工具控制方法，在框选出需要识别的目标图像区域后，图像识别模块对框选出的目标图像区域进行图像识别，得到目标工作对象的材质信息，即得到目标工作对象的。
步骤S22，根据目标工作对象的类型信息生成电动工具的运行参数。
本发明智能移动终端可以识别得到的目标工作对象的材质，且智能移动终端内预先存储有目标工作对象的材质与运行参数之间的对应关系表，通过查表，可得到与识别的材质对应的运行参数。
步骤S30：将运行参数发送至电动工具上，以使电动工具根据运行参数执行相应动作。
具体的，智能移动终端可以通过有线或无线等通讯手段将生成的运行参数发送到电动工具上，电动工具在接收到运行参数后，会对运行参数进行解析和配置，然后根据配置在电动工具内部的运行参数控制电动工具上相应的执行机构执行相应的动作，例如，电动工具可以根据配置后的运行参数以一定的转速和扭矩进行钻孔或拧螺丝等工作。
在本发明的其中一实施例中，在步骤S102，对目标工作对象的图像进行图像识别之前还包括以下步骤：
获取大量目标工作对象的材质图像，根据材质信息为所述材质图像分别设定标签，建立带标签的材质图像数据库，构建初始深度学习网络模型。图像识别是基于深度学习实现的，需要预先采集大量的常见材质图片建立训练数据库，根据材质信息为所述材质图像分别设定标签，将多个不同类别的材质数据库中的材质图像出入到初始深度学习网络模型中，本发明初始深度学习网络模型为卷积神经网络模型，对模型进行训练，不同的材质设置不同的类别，不认识的材质单独设置一个类别，获得能够识别不同材质的卷积神经网络模型。用户通过移动设备拍摄目标工作对象的图像后，框选出目标图像区域，将目标图像区域的部分输入到由卷积神经网络组成的识别模块，可得到目标工作对象的材质信息。如果在材质未在训练数据 库内，智能移动终端会告知用户是未知材质。在本发明的其中一实施例中，对于识别到的未知的材质，可以通过用户手动输入的方式增加数据库的类别，卷积神经网络模型通过学习，下次即可识别该材质。
针对上述具体的步骤，步骤S102，对目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：
将拍摄的目标工作对象的图像输入到材质图像识别模块，经材质图像识别模块识别后输出目标工作对象的材质信息。
在本发明的其中一实施例中，所述目标工作对象的图像包括待测的棋盘格和已有的孔的图像，智能移动终端还可以识别目标工作对象的孔径的大小，具体识别方法如下：
通过智能移动终端拍摄棋盘格和已有孔的图像。在本发明的一实施例中，当在木材或者其他材质上已经有孔，需要按照已有的孔径的大小继续钻孔时，此时，需要识别已有孔的孔径的大小，本发明采用测量工具棋盘格进行辅助测量，将棋盘格和目标孔径放在同一平面，使得棋盘格不会遮挡目标孔径，即目标孔径放在棋盘格的左右侧或者前后侧，智能移动终端拍摄包括棋盘格和目标孔径的照片。
获取棋盘格中每个格子的尺寸及棋盘格格子的数目。在本发明的其中一实施例中，用户在智能移动终端输入棋盘格中每个格子的尺寸和棋盘格的格子数目。本领域技术人员可知的，可以预先在智能移动终端中存储中多种常见的不同数目和尺寸的棋盘格，用户根据实际应用的棋盘格在智能移动终端上选择对应尺寸的棋盘格，获取实际应用的棋盘格的每个格子的尺寸和棋盘格的格子数目。
通过角点信息计算目标工作对象的图像中棋盘格的尺寸，根据棋盘格的尺寸计算单个像素表示的距离信息。在本发明中，角点即棋盘格水平线和竖直线的交点，计算两个角点之间像素的个数，通过两个角点之间像素的个数表示两角点之间的图像的尺寸，也就是棋盘格每个格子对应的图像尺寸。根据用户输入的棋盘格的实际尺寸或者根据用户在智能移动终端上选择的棋盘格的实际尺寸以及两个角点之间像素的个数，计算单个像素表示的距离信息。
获取孔径的直径对应的像素的个数，计算并输出孔径的大小信息。智能移动终端读取孔径的直径对应的像素的个数，根据上述计算的单个像素表示的距离信息与孔径的直径对应的像素的个数计算孔径实际的距离数据。例如，用户输入的棋盘格的每个格子的尺寸为30cm，两个角点之间的像素的个数为280个像素，则单个像素表示的距离为30/280，读取的孔径的直径对应的像素的个数为N，则孔径的直径表示的实际距离为30N/280。将计算结果通过智能移动终端显示出来。
在本发明的其中一实施例中，获取孔径的直径对应的像素的个数的步骤包括：
在目标工作对象的图像中框选出要识别的孔径区域，对该区域进行自适应二值化处理来区分孔径区域与背景图像。由于拍摄图片的过程中，可能会拍摄到与孔径区域无关的背景图像，该背景图像可能会干扰到孔径区域的识别。因此，本发明为了防止该干扰情况的发生，当拍摄到目标工作对象的图像后，在目标工作对象的图像中框选出要识别的孔径区域。基于该区域做自适应二值化处理，寻找对应圆形轮廓。
获取二值化处理后的孔径区域中孔径的直径对应的像素的个数。经二值化处理后，可区分孔径区域与背景区域，读取孔径区域的孔径的直径对应的像素的个数，通过像素的个数表示孔径区域的在图像中的大小。
请参考图11所示为本发明第六实施例一种计算机设备的内部结构图，该计算机设备可以是智能移动终端。该计算机设备包括通过系统总线连接的处理器、存储器、网络接口、显示屏和输入装置。其中，该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统和计算机程序。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的网络接口用于与外部的终端通过网络连接通信。该计算机程序被处理器执行时以实现一种电动工具的控制方法。该计算机设备的显示屏可以是液晶显示屏或者电子墨水显示屏，该计算机设备的输入装置可以是显示屏上覆盖的触摸层，也可以是计算机设备外壳上设置的按键、轨迹球或触控板，还可以是外接的键盘、触控板或鼠标等。
本领域技术人员可以理解，图11中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一个实施例中，提供了一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，该处理器执行计算机程序时实现以下步骤：
获取电动工具的工况参数；
根据工况参数生成电动工具的运行参数；
将运行参数发送至电动工具上，以使电动工具根据运行参数执行相应动作。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：
获取电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的一个或多个参数。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：
根据电动工具的目标工作对象的材质、目标打孔孔径和工作模式中的一个或多个参数以及预设的工况参数与运行参数之间的对应关系生成电动工具的工作模式、转速、扭矩和冲击功率中的一个或多个参数。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：
通过有线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术将电动工具的工作模式、转速、扭矩和冲击功率中的一个或多个参数发送至电动工具上。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：
通过图像识别算法计算得出目标工作对象的材质。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
请参考图12所示为本发明第七实施例中一种电动工具系统的结构示意图，电动工具系统包括电动工具以及与电动工具进行通信的智能移动终端，电动工具系统还包括工况参数获取模块301，运行参数生成模块302，通信模块303和控制模块304，其中，工况参数获取模块301位于智能移动终端内，用于获取电动工具的工况参数；运行参数生成模块302位于智能移动终端内，用于根据工况参数生成电动工具的运行参数；通信模块303用于将智能移动终端内生成的运行参数发送至电动工具上；电动工具内的控制模块304接收通信模块传输的运行参数，根据运行参数执行相应动作。
在本发明的其中一实施例中，所述系统还包括存储模块，所述存储模块还被配置为存储类别目录，所述类别目录被配置为将所述目标工作对象的类型按照预先设定的分类表分类。所述存储模块被配置为存储主页面和子页面，所述主页面显示所述目标工作对象的材质信息；所述子页面显示目标打孔孔径的尺寸信息。在另一优选实施例中，所述系统还包括搜索模块，所述搜索模块被配置为搜索所述目标工作对象的材质。
在本发明的其中一实施例中，所述工况参数获取模块301还包括图像采集模块311和图像识别模块312，其中图像采集模块311用于采集所述电动工具的目标工作对象的图像； 图像识别模块312用于对采集的所述图像进行处理，提取图像的特征数据，将所述特征数据输入到目标工作对象分类表，输出目标工作对象的类型。具体的，请参考图13所示为本发明第八实施例中工况参数获取模块的结构框图，图像识别模块312包括模型建立模块322和材质图像识别模块323，其中，模型建立模块322用于获取大量目标工作对象的材质图像，根据材质信息为所述材质图像分别设定标签，构建带标签的材质图像数据库，构建初始深度学习网络模型；材质图像识别模块323与所述图像采集模块311连接，所述材质图像识别模块323基于深度学习网络模型，用于根据所获取的所述目标工作对象的图像进行材质识别，确定材质信息。在另一实施例中，请参考图14所示为本发明第九实施例中工况参数获取模块的结构框图，图像采集模块311还用于采集包括棋盘格和孔径的目标图像，图像识别模块321还包括参数获取模块324和距离计算模块325，其中，参数获取模块324用于获取棋盘格中每个格子的尺寸及棋盘格格子的数目；距离计算模块325，通过角点信息计算目标图像中棋盘格的尺寸，根据所述棋盘格的尺寸计算单个像素表示的距离信息，获取孔径的直径对应的像素的个数，计算孔径的大小信息。
在本发明的其中一实施例中，工况参数获取模块还用于获取经用户确认的类别目录下的所述目标工作对象的类型信息；运行参数生成模块，还用于根据被选择的所述类型信息从预先设置的目标工作对象的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数，通信模块用于将运行参数生成模块生成的运行参数通过无线的方式传输给电动工具，电动工具接收到运行参数后，电动工具的控制模块控制电动工具执行相应的动作。
以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。

Claims (26)

  1. 一种电动工具的控制方法，其特征在于，所述方法包括：
    获取所述电动工具的工况参数；
    根据所述工况参数生成所述电动工具的运行参数；
    将所述运行参数发送至所述电动工具上，以使所述电动工具根据所述运行参数执行相应动作。
  2. 如权利要求1所述的电动工具控制方法，其特征在于，所述获取所述电动工具的工况参数，根据所述工况参数生成所述电动工具的运行参数的步骤包括：
    通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息；
    根据所述目标工作对象的类型信息生成所述电动工具的运行参数。
  3. 如权利要求2所述的电动工具控制方法，其特征在于，所述目标工作对象的类型信息包括目标工作对象的材质和/或目标打孔孔径。
  4. 如权利要求2所述的电动工具控制方法，其特征在于，所述运行参数包括所述电动工具的转速、扭矩和冲击功率中的至少一种。
  5. 如权利要求2所述的电动工具控制方法，其特征在于，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：
    获取智能移动终端的类别目录下的所述目标工作对象的类型信息，所述类别目录被配置为将所述目标工作对象的类型按照预先设定的分类表分类。
  6. 如权利要求2所述的电动工具控制方法，其特征在于，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：
    获取用户在智能移动终端上搜索的所述目标工作对象的类型信息。
  7. 如权利要求3所述的电动工具控制方法，其特征在于，所述目标工作对象的类型信息通过如下方法之一进行设定：
    所述目标工作对象的类型信息为预先设定的类型信息；
    所述目标工作对象的类型信息由用户根据实际需要录入设定。
  8. 如权利要求5所述的电动工具控制方法，其特征在于，所述根据所述工况参数生成所述电动工具的运行参数的步骤包括：
    获取用户对类别目录的选择操作，根据被选择的类型信息从预先设置的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数。
  9. 如权利要求8所述的电动工具控制方法，其特征在于，所述获取智能移动终端的类别目录下的所述目标工作对象的类型信息，所述类别目录被配置为将所述目标工作对象的类型按照预先设定的分类表分类的步骤包括：
    显示主页面，所述主页面显示所述目标工作对象的材质信息；
    获取用户对主页面材质信息的选择操作，根据被选择的材质信息别进入子页面，所述子页面显示目标打孔孔径的尺寸信息。
  10. 如权利要求2所述的电动工具控制方法，其特征在于，所述通过智能移动终端获取经用户确认的电动工具的目标工作对象的类型信息的步骤包括：
    通过智能移动终端拍摄所述目标工作对象的图像；
    对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息。
  11. 如权利要求10所述的电动工具控制方法，其特征在于，所述通过智能移动终端拍摄所述目标工作对象的图像；对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：
    通过智能移动终端拍摄所述目标工作对象的图像，在所述目标工作对象的图像中框选出要识别的目标图像区域；
    对所述目标图像区域进行图像识别，识别所述目标工作对象的类型信息。
  12. 如权利要求10所述的电动工具控制方法，其特征在于，所述目标工作对象的类型信息为材质信息，所述对所述目标工作对象的图像进行图像识别之前还包括：
    获取大量目标工作对象的材质图像，根据材质信息分别为所述材质图像设定标签，建立带标签的材质图像数据库，构建初始深度学习网络框架；
    将所述材质图像数据库中材质图像输入初始深度学习网络框架，训练获得由深度学习网络模型组成的材质图像识别模块。
  13. 如权利要求12所述的电动工具控制方法，其特征在于，所述对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：
    将所述目标工作对象的图像输入到所述材质图像识别模块，经材质图像识别模块识别后输出目标工作对象的材质信息。
  14. 如权利要求12所述的电动工具控制方法，其特征在于，所述深度学习网络模型为卷积神经网络模型。
  15. 如权利要求10所述的电动工具控制方法，其特征在于，所述目标工作对象的图像包括待测的棋盘格和已有的孔的图像，所述目标工作对象的类型信息为孔径的大小信息，所述对所述目标工作对象的图像进行图像识别，获取目标工作对象的类型信息的步骤包括：
    获取棋盘格中每个格子的尺寸及棋盘格格子的数目；
    通过角点信息计算目标工作对象的图像中棋盘格的尺寸，根据所述棋盘格的尺寸计算单个像素表示的距离信息；
    获取孔径的直径对应的像素的个数，计算并输出孔径的大小信息。
  16. 如权利要求15所述的电动工具控制方法，其特征在于，所述获取孔径的直径对应的像素的个数的步骤包括：
    在目标工作对象的图像中框选出要识别的孔径区域，对该区域进行自适应二值化处理来区分孔径区域与背景图像；
    获取二值化处理后的孔径区域中孔径的直径对应的像素的个数。
  17. 如权利要求1所述的电动工具控制方法，其特征在于，所述将所述运行参数发送至所述电动工具上的步骤包括：通过有线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种通信技术将所述电动工具的转速、扭矩和冲击功率中的一个或多个参数发送至所述电动工具上。
  18. 如权利要求1所述的电动工具控制方法，其特征在于，所述电动工具包括电钻、电锤、冲击钻、多功能钻和冲击扳手中的任一种。
  19. 一种电动工具，包括壳体，设置于壳体内的电机以及由电机驱动的传动机构，其特征在于，所述电动工具还包括：
    通信模块，用于接收智能移动终端发送的电动工具的运行参数；
    控制模块，用于解析和配置所述运行参数，并根据所述运行参数控制所述电机以及所述传动机构执行相应动作。
  20. 一种电动工具系统，包括电动工具及与所述电动工具进行通信的智能移动终端，其特征在于，所述电动工具系统还包括：
    工况参数获取模块，位于智能移动终端内，用于获取所述电动工具的工况参数；
    运行参数生成模块，位于智能移动终端内，用于根据所述工况参数生成所述电动工具的运行参数；
    通信模块，用于将在智能移动终端内生成的运行参数发送至所述电动工具上；
    控制模块，位于所述电动工具内，用于接收通信模块传输的运行参数，根据所述运行参数执行相应动作。
  21. 如权利要求20所述的电动工具系统，其特征在于，所述工况参数获取模块还包括：
    图像采集模块，用于采集所述电动工具的目标工作对象的图像；
    图像识别模块，对采集的所述图像进行处理，提取图像的特征数据，将所述特征数据输入到目标工作对象分类表，输出目标工作对象的类型信息。
  22. 如权利要求21所述的电动工具系统，其特征在于，所述图像识别模块还包括：
    模型建立模块，获取的大量目标工作对象的材质图像，根据材质信息分别为所述材质图像设 定标签，构建带标签的材质图像数据库，构建初始深度学习网络框架；
    材质图像识别模块，与所述图像采集模块连接，由深度学习网络模型组成，用于根据所获取的所述目标工作对象的图像进行材质识别，确定材质信息，其中，所述深度学习网络模型基于所述材质图像数据库中材质图像输入到始深度学习网络框架，训练获得。
  23. 如权利要求21所述的电动工具系统，其特征在于，所述图像采集模块还用于采集包括棋盘格和孔径的目标图像，所述图像识别模块还包括：
    参数获取模块，用于获取棋盘格中每个格子的尺寸及棋盘格格子的数目；
    距离计算模块，通过角点信息计算目标图像中棋盘格的尺寸，根据所述棋盘格的尺寸计算单个像素表示的距离信息，获取孔径的直径对应的像素的个数，计算孔径的大小信息。
  24. 如权利要求20所述的电动工具系统，其特征在于，所述工况参数获取模块还用于获取经用户确认的类别目录下的所述目标工作对象的类型信息；
    所述运行参数生成模块，还用于根据被选择的所述类型信息从预先设置的目标工作对象的类型信息与运行参数的对应表中获取所述类型信息对应的运行参数。
  25. 如权利要求24所述的电动工具系统，其特征在于，所述系统还包括存储模块，所述存储模块还被配置为存储类别目录，所述类别目录将所述目标工作对象的类型按照预先设定的分类表分类，所述存储模块还用于存储预先设置的目标工作对象的类型信息与运行参数的对应表。
  26. 如权利要求20所述的电动工具系统，其特征在于，所述通信模块包括线通信、WIFI、ZIGBEE、蓝牙、近距离无线通信、红外通信中的一种或多种。
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