WO2019076133A1 - Appareil de chauffage électrique, procédé et dispositif de commande pour celui-ci, support de stockage, et processeur - Google Patents

Appareil de chauffage électrique, procédé et dispositif de commande pour celui-ci, support de stockage, et processeur Download PDF

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Publication number
WO2019076133A1
WO2019076133A1 PCT/CN2018/102159 CN2018102159W WO2019076133A1 WO 2019076133 A1 WO2019076133 A1 WO 2019076133A1 CN 2018102159 W CN2018102159 W CN 2018102159W WO 2019076133 A1 WO2019076133 A1 WO 2019076133A1
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WIPO (PCT)
Prior art keywords
environmental state
image information
target
state
electric heater
Prior art date
Application number
PCT/CN2018/102159
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English (en)
Chinese (zh)
Inventor
张祝宾
金胜昔
宁瀛锋
杜东逸
邓永文
王锦辉
Original Assignee
格力电器（武汉）有限公司
珠海格力电器股份有限公司
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Publication of WO2019076133A1 publication Critical patent/WO2019076133A1/fr

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/30—Control of fluid heaters characterised by control outputs; characterised by the components to be controlled
    • F24H15/355—Control of heat-generating means in heaters
    • F24H15/37—Control of heat-generating means in heaters of electric heaters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/10—Control of fluid heaters characterised by the purpose of the control
    • F24H15/156—Reducing the quantity of energy consumed; Increasing efficiency
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F24H15/265—Occupancy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/30—Control of fluid heaters characterised by control outputs; characterised by the components to be controlled
    • F24H15/395—Information to users, e.g. alarms
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/40—Control of fluid heaters characterised by the type of controllers
    • F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
    • F24H15/421—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based using pre-stored data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes

Definitions

  • the present application relates to the field of electric heaters, and in particular to an electric heater, a control method therefor, a device, a storage medium and a processor.
  • the electric heater needs to be shut down, the user needs to manually shut down. However, if the user forgets to turn off the electric heater, the electric heater will always be in a working state, thereby causing waste of energy of the electric heater, damage to the equipment, danger, and low safety of the electric heater.
  • the main purpose of the present application is to provide an electric heater and a control method, apparatus, storage medium and processor thereof to solve at least the problem of low safety of the electric heater.
  • a method of controlling an electric heater includes: acquiring first image information of a target area, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state;
  • the image information is analyzed to determine whether the first environmental state is a target environmental state, wherein the first model is trained by using machine learning using multiple sets of data, and each set of data in the plurality of sets of data includes: image information and image information Whether the indicated environmental state is a label of the target environmental state, the image information includes first image information, the environmental state includes a first environmental state, and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • analyzing the first image information by using the first model, determining whether the first environment state is the target environment state comprises: analyzing the first image information by using the first model, determining whether the first environment state is the first target An environmental state, wherein the target environmental state includes a first target environmental state, the first target environmental state is used to indicate that there is no target object for controlling the electric heater in the target region, and each set of data in the plurality of sets of data includes: an image Whether the environmental status indicated by the information is a label of the first target environmental status.
  • the method further includes: controlling the electric heating if the first environmental state is the target environmental state The device enters the energy saving mode.
  • the acquiring the first image information of the target area includes: collecting first image information of the target area every target time period; analyzing the first image information by using the first model, determining whether the first environmental state is a target environmental state
  • the method includes: analyzing, after the target time, using the first model, analyzing the first image information that is collected, and determining whether the first environment state indicated by the first image information that is collected is the target environment state, where The target time includes a target time period each time the first image information is acquired; and in a case where the first environmental state is the target environmental state, controlling the power heater to be turned off includes: indicating that the first image information is collected each time In the case where the first environmental state is the target environmental state, the control heater is turned off.
  • the method further The method includes: controlling the electric heater to maintain the power-on state in a case where it is determined that the first environmental state indicated by the first image information collected is not the target environmental state.
  • controlling the heater to be turned off includes: when the first environment state is the target environment state, outputting prompt information, wherein the prompt information is used to prompt the electric heating The device will automatically shut down; after the prompt message is output, the control heater is turned off.
  • controlling the heater shutdown includes: if the first environment state is the target environment state, if the first image information of the target region is within the target time The indicated first environmental state is always the target environmental state, then the electric heater is turned off.
  • the method before analyzing the first image information using the first model to determine whether the first environmental state is the target environmental state, the method further includes: establishing an initial detection model, wherein the initial detection model is used for machine learning training The initial model; acquire multiple sets of data; use the multiple sets of data to train the initial detection model to obtain the first model.
  • a control device for an electric heater includes: an acquisition unit configured to acquire first image information of a target area, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state; And configured to analyze the first image information by using the first model to determine whether the first environmental state is a target environmental state, where the first model is trained by machine learning using multiple sets of data, each group of the multiple sets of data
  • the data includes: a label indicating whether the environmental state indicated by the image information and the image information is a target environmental state, the image information includes first image information, the environmental state includes a first environmental state, and the control unit is configured to target the first environmental state In the case of an environmental state, the control heater is turned off.
  • a storage medium includes: the storage medium includes a stored program, wherein the device in which the storage medium is located controls the control method of the electric heater of the embodiment of the present application when the program is running.
  • a processor is also provided.
  • the processor is for running a program, wherein the control method of the electric heater of the embodiment of the present application is executed while the program is running.
  • the first image information of the target area is used to collect the first image information of the target area, where the first image information is used to indicate the first environmental state of the target area, and the working environment state of the electric heater includes the first environmental state;
  • An image information is analyzed to determine whether the first environmental state is a target environmental state, wherein the first model is trained by using machine learning using multiple sets of data, and each set of data in the plurality of sets of data includes: image information and image information Whether the indicated environmental state is a label of the target environmental state, the image information includes first image information, the environmental state includes a first environmental state, and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the first model obtained by the training determines whether the first environmental state is the target environmental state, and the first environmental state is the target environmental state, and the electric heater is controlled to be shut down, The problem of low safety of the electric heater is solved, and the safety of the electric heater is improved.
  • FIG. 1 is a flow chart of a method of controlling an electric heater according to an embodiment of the present application
  • FIG. 2 is a schematic diagram of a control device for an electric heater according to an embodiment of the present application.
  • FIG. 3 is a schematic diagram of an electric heater according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of another electric heater in accordance with an embodiment of the present application.
  • the embodiment of the present application provides a method for controlling an electric heater.
  • FIG. 1 is a flow chart of a method of controlling an electric heater according to an embodiment of the present application. As shown in Figure 1, the method includes the following steps:
  • Step S102 collecting first image information of the target area.
  • the first image information of the target area is collected, wherein the first image information is used to indicate the first environmental state of the target area, and the working environment state of the electric heater includes the first environmental state.
  • the target area is the working environment area of the electric heater, and may be a room area, for example, a bedroom area, a lobby area, an office area, etc., without any limitation.
  • Collecting first image information of the target area where the first image information is image information of the target area, including information of the object existing in the target area, and may be used to indicate the first environmental state of the target area, for example, whether it is unmanned Environmental status.
  • the working environment state of the electric heater includes the first environmental state described above.
  • Step S104 The first image information is analyzed by using the first model to determine whether the first environmental state is a target environmental state.
  • the first image information is analyzed by using the first model to determine whether the first environmental state is a target environmental state, wherein the first model is trained by using a plurality of sets of data through machine learning.
  • Each of the plurality of sets of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, the image information includes first image information, and the environmental state includes a first environmental state.
  • the first image information of the target area is collected, the first image information is analyzed by using the first model to determine whether the first environmental state is a target environmental state, and the target environmental state of the embodiment is an unmanned environment state, that is, There is no user's status in the target area.
  • the first model of the embodiment is trained by using machine learning using a plurality of sets of data, wherein the plurality of sets of data may be a large amount of sample data collected in advance, that is, large data collection is performed, and each set of data in the plurality of sets of data is The method includes: whether the environmental status indicated by the image information and the image information is a label of the target environmental state.
  • the pre-acquired image information is image information of the plurality of target regions
  • the environmental state indicated by the image information of the plurality of target regions is a label of the target environmental state, that is, the image information of the plurality of target regions is indicated by Whether the environmental status is a label for the unmanned environment status.
  • Step S106 in the case that the first environmental state is the target environmental state, the electric heater is controlled to be turned off.
  • the electric heater is controlled to be turned off.
  • the electric heater is automatically turned off.
  • the control electric heater enters a shutdown energy-saving mode, and the shutdown energy-saving mode can avoid the problem that the electric heater keeps working in the unmanned situation, causing energy waste and equipment damage, and improving the safety of the electric heater. effect.
  • the first image information of the target area is collected, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state;
  • the image information is analyzed to determine whether the first environmental state is a target environmental state, wherein the first model is trained by using machine learning using multiple sets of data, and each set of data in the plurality of sets of data includes: image information and image information Whether the indicated environmental state is a label of the target environmental state, the image information includes first image information, the environmental state includes a first environmental state, and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the first model obtained by the training determines whether the first environmental state is the target environmental state, and the first environmental state is the target environmental state, and the electric heater is controlled to be shut down, The problem of low safety of the electric heater is solved, and the safety of the electric heater is improved.
  • step S104 analyzing the first image information by using the first model, determining whether the first environment state is the target environment state comprises: analyzing the first image information by using the first model, determining Whether the environmental state is a first target environmental state, wherein the target environmental state includes a first target environmental state, and the first target environmental state is used to indicate that there is no target object for controlling the electric heater in the target region, and the plurality of sets of data
  • Each set of data includes: a label indicating whether the environmental status indicated by the image information is the first target environmental status.
  • the target environment state may be a first target environment state, where the first target environment state is used to indicate that there is no target object for controlling the heater in the target region, for example, there is no control target object User.
  • the first image information is analyzed using the first model to determine whether the first environmental state is the first target environmental state.
  • Each of the plurality of sets of data for training the first model includes a tag indicating whether the environmental state indicated by the image information is the first target environmental state.
  • the method further includes: the first environment state is the target environment. In the case of the state, the control heater enters the energy saving mode.
  • the electric heater is automatically controlled. Enter the energy-saving mode, for example, automatically enter the shutdown energy-saving mode, so that the heater will not work all the time, and save energy, avoiding the electric heater still working in the target environment, resulting in energy waste and equipment damage, improve The safety of the electric heater.
  • step S102 acquiring the first image information of the target area includes: collecting first image information of the target area every target time period; and step S104, analyzing the first image information by using the first model Determining whether the first environmental state is the target environmental state comprises: analyzing the first image information collected each time using the first model after the target time, determining the first indicated by the first image information collected each time Whether the environmental state is a target environmental state, wherein the target time includes a target time period each time the first image information is acquired; and in step S106, in a case where the first environmental state is the target environmental state, controlling the electric heater to be turned off includes The control heater is turned off in the case where it is determined that the first environmental state indicated by the first image information acquired is the target environmental state.
  • the first image information of the target area when the first image information of the target area is collected, the first image information of the target area may be collected every target time period, for example, the first image information of the room area is collected every 2 minutes.
  • the first image information collected for each time is analyzed using the first model, for example, the target time may be 10 minutes, and after 10 minutes, the first model is used to collect the first every 2 minutes.
  • the image information is analyzed to determine whether the first environmental state indicated by the first image information collected is a target environmental state, for example, determining whether the first environmental state indicated by the first image information collected each time is For an unmanned environment.
  • the target environmental state that is, the target region is not the target environment state at one time, but is always the target environment state
  • automatic control is performed.
  • the electric heater is turned off, which avoids the problem that the electric heater has been working in the target environment, resulting in waste of energy and equipment damage, and improves the safety of the electric heater.
  • the first image information is analyzed by using the first model to determine whether the first environment state indicated by the first image information collected is a target environment state. Thereafter, the method further includes: controlling the electric heater to maintain the power-on state in a case where it is determined that the first environmental state indicated by the first image information collected is not the target environmental state.
  • the control heater is kept in the power-on state. For example, after 10 minutes, the first image information collected every 2 minutes is analyzed using the first model, and it is determined whether the first environmental state indicated by the first image information collected after each time is the target environmental state. If the first environmental state indicated by the first image information collected is not the target environmental state, for example, within 10 minutes, the first image information is collected every 2 minutes, then 5 times are collected. An image information, wherein 2 out of 5 times is not the target environment state. For example, if two users enter the target area, the target area is only the target environment state for a while, and there is a possibility that the user enters the target area again. The electric heater is still turned on, which improves the intelligence of the electric heater control.
  • controlling the power heater to be turned off includes: when the first environment state is the target environment state, outputting prompt information, where the prompt information It is used to prompt the electric heater to automatically shut down; after outputting the prompt information, control the electric heater to shut down.
  • the prompt information is output, and the prompt information is output.
  • It is used to prompt the electric heater to automatically shut down, and it can be a prompt message in the form of voice, or a prompt message in the form of a voice and a text, and there is no restriction here.
  • the user if the user is outdoors, he may return to the room later.
  • the heater outputs a prompt message, the user immediately returns to the room after hearing the prompt message, and operates the heater to avoid electricity.
  • the heater automatically shuts down.
  • the prompt message is output, if the electric heater is not operated within a certain period of time, it is determined that there is no more user in the target area, and the electric heater is automatically controlled to be turned off, thereby improving the intelligence degree of the electric heater control.
  • controlling the heater shutdown includes: if the first environmental state is the target environmental state, if the target environment is within the target time The first environmental state indicated by the first image information of the target area is always the target environmental state, and then the electric heater is turned off.
  • the first environmental state is the target environmental state
  • the target time is 10 Minutes
  • the first environmental state indicated by the first image information of the target area has been the unmanned environment state within 10 minutes, it is determined that the target area does not have the user, then the electric heater is automatically controlled to be turned off, and the electric heater is avoided.
  • the target environment has been working all the time, resulting in energy waste and equipment damage, which improves the safety of the heater.
  • the method further includes: establishing an initial detection model, where the initial detection is performed.
  • the model is an initial model for machine learning training; multiple sets of data are acquired; the initial test model is trained using multiple sets of data to obtain a first model.
  • the initial detection model may be an initial neural network model. Before analyzing the first image information using the first model to determine whether the first environmental state is the target environmental state, an initial neural network model may be established, and multiple sets of data are acquired from the plurality of target regions, that is, image information is acquired. And whether the environmental state indicated by the image information is a label of the target environmental state, and the initial detection model may be trained by using the processed plurality of sets of data to obtain the trained first model.
  • the first model can be obtained by using a plurality of sets of data training through a machine learning method, and the first image information is analyzed by the first model to determine whether the first environmental state is a target environmental state, and the first environmental state is In the case of the target environmental state, the electric heater is turned off, and the purpose of the electric heater to automatically shut down in the target environment state is realized, thereby avoiding the problem that the electric heater is still working in the target environment state, resulting in energy waste and equipment damage. Improve the safety of the electric heater.
  • the embodiment of the present application also provides a control device for an electric heater. It should be noted that the control device of the electric heater of this embodiment can be used to execute the control method of the electric heater of the embodiment of the present application.
  • the apparatus includes an acquisition unit 10, a determination unit 20, and a control unit 30.
  • the collecting unit 10 is configured to collect first image information of the target area, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state.
  • the determining unit 20 is configured to analyze the first image information by using the first model to determine whether the first environment state is a target environment state, wherein the first model is trained by using a plurality of sets of data through machine learning, and the plurality of sets of data are Each set of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, the image information includes first image information, and the environmental state includes a first environmental state.
  • the control unit 30 is configured to control the electric heater to be turned off in a case where the first environmental state is the target environmental state.
  • the determining unit 20 includes: a first determining module, configured to analyze the first image information by using the first model, to determine whether the first environment state is a first target environment state, wherein the target environment state includes a first target environment state, A target environment state is used to indicate that there is no target object for controlling the electric heater in the target area, and each set of data in the plurality of sets of data includes: a label indicating whether the environmental status indicated by the image information is the first target environmental state.
  • the apparatus further includes: a first control unit, configured to: after analyzing the first image information by using the first model, determining whether the first environmental state is a target environmental state, and the first environmental state is a target environmental state In the case of the control, the electric heater enters the energy saving mode.
  • a first control unit configured to: after analyzing the first image information by using the first model, determining whether the first environmental state is a target environmental state, and the first environmental state is a target environmental state In the case of the control, the electric heater enters the energy saving mode.
  • the collecting unit 10 includes: an collecting module, configured to collect first image information of the target area every target time period; the determining unit 20 includes: a second determining module, configured to use the first model pair after the target time The first image information collected each time is analyzed to determine whether the first environmental state indicated by the first image information collected is a target environmental state, wherein the target time is included in each time the first image information is collected.
  • the apparatus includes: analyzing, by using the first model, the first image information collected each time, determining whether the first environment state indicated by the first image information collected each time is a target environment state And the second control unit is configured to control the electric heater to maintain the power-on state in a case where it is determined that the first environmental state indicated by the first image information collected is not the target environmental state.
  • control unit 30 includes: an output module and a second control module.
  • the output module is configured to output prompt information when the first environment state is the target environment state, wherein the prompt information is set to prompt the heater to automatically shut down; and the second control module is configured to output the prompt information , control the heater to shut down.
  • control unit 30 includes: a third control module, configured to: if the first environment state is the target environment state, if the first environment state indicated by the first image information of the target region is always The target environment state controls the heater to shut down.
  • the device further includes: an establishing unit, an acquiring unit, and a training module.
  • the establishing unit is configured to establish an initial detection model before analyzing the first image information using the first model to determine whether the first environmental state is the target environmental state, wherein the initial detection model is an initial for machine learning training a model; an acquisition unit configured to acquire a plurality of sets of data; and a training module configured to train the initial detection model using a plurality of sets of data to obtain a first model.
  • the above-mentioned collecting unit 10, determining unit 20 and control unit 30 can be operated in the electric heating as part of the device, and the functions realized by the above modules can be performed by the processor in the electric heating.
  • the first image information of the target area is collected by the collecting unit 10, wherein the first image information is used to indicate the first environmental state of the target area, and the working environment state of the electric heater includes the first environmental state, by the determining unit 20
  • the first image information is analyzed by using the first model to determine whether the first environmental state is a target environmental state, wherein the first model is trained by using machine learning using multiple sets of data, and each set of data in the multiple sets of data includes Whether the environmental state indicated by the image information and the image information is a label of the target environmental state, the image information includes the first image information, and the environmental state includes the first environmental state, and the control unit 30 is in the first environmental state as the target environmental state.
  • control the heater to shut down.
  • the first model obtained by the training determines whether the first environmental state is the target environmental state, and the first environmental state is the target environmental state, and the electric heater is controlled to be shut down, The problem of low safety of the electric heater is solved, and the safety of the electric heater is improved.
  • the embodiment of the present application also provides a storage medium.
  • the storage medium includes a stored program, wherein the device in which the storage medium is located controls the control method of the electric heater of the embodiment of the present application while the program is running.
  • the storage medium is configured to store program code for performing the following steps: analyzing the first image information by using the first model, determining whether the first environment state is a target environment state, where The first model is trained by machine learning using a plurality of sets of data, and each set of data in the plurality of sets of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, and the image information includes the first image
  • the information, the environmental state includes a first environmental state; and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the storage medium may also be provided as program code for storing various preferred or optional method steps provided by the control method of the electric heater.
  • the embodiment of the present application further provides a processor, wherein the processor is configured to run a program, wherein the method for controlling the electric heater of the embodiment of the present application is executed when the program is running.
  • the embodiment of the present application also provides an electric heater. It should be noted that the electric heater of this embodiment can be used to execute the control method of the electric heater of the embodiment of the present application.
  • the heater includes an information collecting device 40 and a processor 50.
  • the information collecting device 40 is configured to collect first image information of the target area, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state.
  • the processor 50 runs a program, wherein the program is executed to perform the following processing steps on the first image information outputted from the information collecting device: analyzing the first image information using the first model to determine whether the first environmental state is a target An environmental state, wherein the first model is trained by using machine learning using a plurality of sets of data, each set of data in the plurality of sets of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, and an image
  • the information includes first image information, the environmental state includes a first environmental state; and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the embodiment of the present application also provides an electric heater. It should be noted that the electric heater of this embodiment can be used to execute the control method of the electric heater of the embodiment of the present application.
  • the heater includes an information collecting device 60 and a storage medium 70.
  • the information collecting device 60 is configured to collect first image information of the target area, wherein the first image information is used to indicate a first environmental state of the target area, and the working environment state of the electric heater includes a first environmental state.
  • the storage medium 70 is configured to store a program, wherein the program performs, during operation, the following processing step for the first image information outputted from the information collecting device: analyzing the first image information by using the first model to determine whether the first environmental state is a target environment state, wherein the first model is trained by using machine learning using a plurality of sets of data, each set of data in the plurality of sets of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, The image information includes first image information, the environmental state includes a first environmental state, and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the various functional modules provided by the embodiments of the present application may be operated in an electric heater or the like, or may be stored as part of a storage medium.
  • embodiments of the present application can provide an electric heater.
  • the electric heater is configured to execute the following steps in the control method of the electric heater: analyzing the first image information by using the first model, and determining whether the first environmental state is a target environmental state, where
  • the first model is trained by machine learning using a plurality of sets of data, and each set of data in the plurality of sets of data includes: a label indicating whether an environmental state indicated by the image information and the image information is a target environmental state, and the image information includes the first image
  • the information, the environmental state includes a first environmental state; and in a case where the first environmental state is a target environmental state, the electric heater is turned off.
  • the heater may include: one or more processors, a memory, and a transmission device.
  • the memory can be used to store the software program and the module, such as the control method of the electric heater and the program instruction/module corresponding to the device in the embodiment of the present application, and the processor executes the software program and the module stored in the memory, thereby executing each A functional application and data processing, that is, a control method for implementing the above electric heater.
  • the memory may include a high speed random access memory, and may also include non-volatile memory such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory.
  • the memory can further include memory remotely located relative to the processor, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the above transmission device is for receiving or transmitting data via a network.
  • Specific examples of the above network may include a wired network and a wireless network.
  • the transmission device includes a Network Interface Controller (NIC) that can be connected to other network devices and routers via a network cable to communicate with the Internet or a local area network.
  • the transmission device is a Radio Frequency (RF) module for communicating with the Internet wirelessly.
  • NIC Network Interface Controller
  • RF Radio Frequency
  • the memory is configured to store the first image information, the first model and the target environment state, and the application.
  • the processor can call the memory stored information and the application by the transmitting device to execute the program code of the method steps of each of the alternative or preferred embodiments of the above method embodiments.
  • the storage medium may include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like.
  • modules or steps of the present application can be implemented by a general computing device, which can be concentrated on a single computing device or distributed in a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in a storage device by a computing device, or they may be fabricated into individual integrated circuit modules, or Multiple modules or steps are made into a single integrated circuit module. Thus, the application is not limited to any particular combination of hardware and software.
  • the technical solution provided by the embodiment of the present application can be applied to the operation process of the electric heater, and the first image information of the target area is collected, and the first image information is analyzed by using the first model to determine whether the first environmental state is the target environment.
  • the scheme of controlling the shutdown of the electric heater can solve the problem of low safety of the electric heater and achieve the effect of improving the safety of the electric heater.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Computer Hardware Design (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Control Or Security For Electrophotography (AREA)
  • Air-Conditioning For Vehicles (AREA)
  • Control Of Resistance Heating (AREA)

Abstract

L'invention concerne un appareil de chauffage électrique, un procédé et un dispositif de commande pour celui-ci, un support de stockage, et un processeur. Le procédé comporte les étapes consistant à : collecter des premières informations d'image d'une région cible, les premières informations d'image étant utilisées pour indiquer un premier état d'environnement de la région cible, et un état d'environnement de travail de l'appareil de chauffage électrique comprenant le premier état d'environnement; analyser les premières informations d'image à l'aide d'un premier modèle, et déterminer si le premier état d'environnement est un état d'environnement cible, le premier modèle étant instruit au moyen d'un apprentissage machine à l'aide de multiples ensembles de données, chaque ensemble de données dans les multiples ensembles de données comprenant : des informations d'image et une étiquette indiquant si un état d'environnement indiqué par les informations d'image est l'état d'environnement cible, les informations d'image comprenant les premières informations d'image, et l'état d'environnement comprenant le premier état d'environnement; et commander l'arrêt de l'appareil de chauffage électrique dans une situation dans laquelle le premier état d'environnement est l'état d'environnement cible. Au moyen du procédé, la sécurité de l'appareil de chauffage électrique est améliorée.
PCT/CN2018/102159 2017-10-19 2018-08-24 Appareil de chauffage électrique, procédé et dispositif de commande pour celui-ci, support de stockage, et processeur WO2019076133A1 (fr)

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