Infrared thermal imaging temperature measurement method based on intelligent helmet

Abstract

The invention provides an infrared thermal imaging temperature measurement method based on an intelligent helmet, and the method comprises the steps: starting a target interface connected with an infrared imaging module in response to a received starting instruction for the infrared imaging module; determining image acquisition parameters in response to the received image acquisition instruction; sending an image acquisition parameter to the infrared imaging module through the target interface; and after the temperature image returned by the infrared imaging module is received, the temperature image is processed according to the current working mode of the intelligent helmet. Therefore, the temperature images required by various scenes can be rapidly and accurately acquired and processed by using the intelligent helmet, and the performance of the intelligent helmet and the safety of coal mine work are improved.

Description

Technical Field

[0001] This application relates to the technical field of smart wearable devices, and particularly to an infrared thermal imaging temperature measurement method based on a smart helmet. Background Art

[0002] When going down into a coal mine, one needs to wear a helmet. Existing helmets are mostly used for safety protection. With the development of technology, users' functional requirements for smart helmets are increasing day by day. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems in the related art to some extent.

[0004] To achieve the above object, an embodiment of the first aspect of this application provides an infrared thermal imaging temperature measurement method based on a smart helmet, including:

[0005] In response to receiving a startup instruction for the infrared imaging module, start a target interface connected to the infrared imaging module;

[0006] In response to receiving an image acquisition instruction, determine image acquisition parameters;

[0007] Send the image acquisition parameters to the infrared imaging module through the target interface;

[0008] After receiving the temperature image returned by the infrared imaging module, process the temperature image according to the current working mode of the smart helmet.

[0009] To achieve the above object, an embodiment of the second aspect of this application provides an infrared thermal imaging temperature measurement method based on a smart helmet, including:

[0010] In response to monitoring that a control associated with the infrared thermal imaging module is touched, send a startup instruction for the infrared imaging module to the smart helmet;

[0011] Display an infrared imaging setting interface;

[0012] In response to monitoring that an image acquisition control in the setting interface is touched, determine the control information selected in the setting interface;

[0013] Generate an image acquisition instruction according to the selected control information;

[0014] Send the image acquisition instruction to the smart helmet.

[0015] To achieve the above object, an embodiment of the third aspect of this application provides an infrared thermal imaging temperature measurement device based on a smart helmet, including:

[0016] A startup module, configured to start a target interface connected to the infrared imaging module in response to receiving a startup instruction for the infrared imaging module;

[0017] A determination module, configured to determine image acquisition parameters in response to receiving an image acquisition instruction;

[0018] A transmission module, configured to send the image acquisition parameters to the infrared imaging module through the target interface;

[0019] A processing module, configured to process the temperature image according to the current working mode of the smart helmet after receiving the temperature image returned by the infrared imaging module.

[0020] To achieve the above object, an embodiment of the fourth aspect of the present application provides an infrared thermal imaging temperature measurement device based on a smart helmet, including:

[0021] A communication module, configured to send an infrared imaging module startup instruction to the smart helmet in response to detecting that a control associated with the infrared thermal imaging module is touched;

[0022] A display module, configured to display an infrared imaging setting interface;

[0023] A determination module, configured to determine the selected control information in the setting interface in response to detecting that an image acquisition control in the setting interface is touched;

[0024] A generation module, configured to generate an image acquisition instruction according to the selected control information;

[0025] The above-mentioned communication module is further configured to send the image acquisition instruction to the smart helmet.

[0026] To achieve the above object, an embodiment of the fifth aspect of the present application provides a computer program product, including a computer program, which when executed by a processor implements the method described in the embodiment of the first aspect.

[0027] In the infrared thermal imaging temperature measurement method based on a smart helmet provided by the present application, after the smart helmet receives a startup instruction for the infrared imaging module, it first starts a target interface connected to the infrared imaging module, then determines image acquisition parameters after receiving an image acquisition instruction, and then acquires a temperature image based on the image acquisition parameters, and processes the acquired temperature image according to the working mode of the smart helmet. Thus, it realizes the rapid and accurate acquisition and processing of temperature images required in various scenarios by using the smart helmet, improves the performance of the smart helmet, and the safety of coal mine work.

[0028] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Brief Description of the Drawings

[0029] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of embodiments in conjunction with the accompanying drawings, where:

[0030] Figure 1 is a schematic flow chart of an infrared thermal imaging temperature measurement method based on a smart helmet provided by an embodiment of the present application;

[0031] Figure 2 is a schematic flow chart of an infrared thermal imaging temperature measurement method based on a smart helmet provided by an embodiment of the present application;

[0032] Figure 3 is a schematic flow chart of an infrared thermal imaging temperature measurement method based on a smart helmet provided by an embodiment of the present application. Detailed Embodiments

[0033] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0034] A method for infrared thermal imaging temperature measurement based on a smart helmet according to an embodiment of the present application will be described below with reference to the accompanying drawings.

[0035] Figure 1 is a schematic flow chart of an infrared thermal imaging temperature measurement method based on a smart helmet provided by an embodiment of the present application. The infrared thermal imaging temperature measurement method provided by this embodiment is executed by the smart helmet.

[0036] As Figure 1 shown, the infrared thermal imaging temperature measurement method based on a smart helmet includes:

[0037] Step 101, in response to receiving a start instruction for the infrared imaging module, start the target interface connected to the infrared imaging module.

[0038] In the embodiments of the present disclosure, the provided smart helmet device may include the following components:

[0039] Main control unit: It is mainly used to coordinate the work of each module and execute relevant control instructions. For example, it processes the image data transmitted by the infrared imaging module. The main control unit can process the image through various image processing algorithms, such as bilinear interpolation algorithm and gray-scale piecewise linear mapping, etc., to enhance the visual effect of the image and improve the resolution. Optionally, the main control unit can also perform pseudo-color processing on the image: through pseudo-color processing technology, convert the gray-scale image into a high-resolution pseudo-color image to enhance the visual effect and temperature recognition ability of the image. Optionally, the main control unit can also, as needed, adopt a three-point temperature measurement algorithm to accurately measure and record the temperature data of three selected points. Optionally, the main control unit can also achieve data synchronization with the cloud server through data synchronization technology to ensure the security and accessibility of the data.

[0040] Infrared imaging module: It is used to collect the infrared radiation information of the target object, convert it into an electrical signal, and further process it into a temperature image.

[0041] Communication interface module: The communication interface can be, for example, one or several of a USB interface, a Bluetooth module, a Wi-Fi module, etc. It can be used to realize data transmission and communication with external devices. The target interface connected to the infrared imaging module can be a USB interface, which is used to transmit image acquisition parameters and receive temperature image data.

[0042] Display unit: It is used to display the processed temperature image in real time for the user to view conveniently. For example, it can be the light wave file in a smart helmet.

[0043] In the embodiment of the present application, when the infrared thermal imaging temperature measurement function needs to be used, a start instruction for the infrared imaging module can be sent to the smart helmet through the operation button on the helmet or an external control device connected to the smart helmet (such as an application (APP) on the service device side). After receiving the start instruction, the main control unit immediately activates the USB target interface connected to the infrared imaging module, initializes and configures the target interface to ensure that the target interface is in a normal working state, and prepares for subsequent communication with the infrared imaging module.

[0044] It should be noted that when the infrared imaging module on the smart helmet is not used to collect temperature images, the target interface can be stopped so that the smart helmet can use other image acquisition methods, such as using a normal camera for image acquisition. The present application does not make any limitations in this regard.

[0045] Step 102, in response to receiving an image acquisition instruction, determine the image acquisition parameters.

[0046] In this application, the operator sends an image acquisition instruction through the operation interface on the intelligent helmet or an external control device. After receiving the image acquisition instruction, the main control unit starts to determine the image acquisition parameters:

[0047] In some embodiments, the main control unit can determine the image acquisition parameters according to the attribute information of the device that sends the image acquisition instruction. For example, if the image acquisition instruction is sent by a service device through an APP, then the main control unit identifies the attribute information of the APP (such as APP version number, device model, etc.). Different APP versions and different device models may correspond to different display requirements. If high-resolution display is supported, the main control unit appropriately increases the spatial resolution parameter of image acquisition.

[0048] In some embodiments, the main control unit can also determine the image acquisition parameters according to the current working mode of the intelligent helmet. Among them, the working mode of the helmet can include, for example, "conventional detection mode" and "fine detection mode". When in the "conventional detection mode", in order to quickly obtain the general temperature distribution, the main control unit can set the frame rate to a higher value, such as 30 frames per second, so as to quickly refresh the image; when in the "fine detection mode", in order to obtain more accurate temperature information, the main control unit appropriately reduces the frame rate, such as 10 frames per second, and increases the temperature resolution parameter.

[0049] In some embodiments, the working mode of the intelligent helmet can also be determined according to the working scenario of the intelligent helmet.

[0050] For example, the working scenario of the intelligent helmet is real-time temperature monitoring and warning. In this scenario, the temperature change in the coal mine environment can be monitored in real time through infrared imaging, and potential hazards such as coal seam spontaneous combustion and overheating of mechanical equipment can be discovered in time. This is crucial for accident prevention because it can provide early warning before an accident occurs.

[0051] In some embodiments, the working scenario of the intelligent helmet is non-contact detection to improve safety. At this time, the staff does not need to contact the object to be measured. Through the infrared imaging module, the dangerous area can be detected, thereby improving the detection efficiency and safety on the premise of ensuring the safety of personnel.

[0052] In some embodiments, the working scenario of the intelligent helmet can also be equipment maintenance and fault prevention. Since the large-scale mechanical equipment used in coal mines is prone to overheating during long-term operation, resulting in failures or fires. Through the infrared imaging module, the equipment can be regularly inspected, the temperature anomalies of the equipment can be discovered, and maintenance and repair can be carried out in time to avoid accidents.

[0053] In some embodiments, the working scenario of the smart helmet can also be a search and rescue scenario. When danger occurs underground, rescuers can use imaging technology to search in the dark and thick fog, determine the exact location of the victims, and quickly conduct search and rescue operations.

[0054] In some embodiments, the working scenario of the smart helmet can also be an intelligent safety monitoring scenario. The infrared imaging module integrated in the smart helmet, combined with functions such as augmented reality (AR) display, intelligent environment perception, personnel positioning and route planning, provides a comprehensive safety monitoring system for coal miners. A ugmen t e d Reality, AR) display, intelligent environment perception, personnel positioning and route planning, etc., provides a comprehensive safety monitoring system for coal miners.

[0055] Since the requirements for image resolution, acquisition frequency, etc. may vary in different scenarios, the main control unit can also determine the image acquisition parameters according to the current working scenario (mode). To ensure that the acquired images meet the current requirements, improve the safety and production efficiency of the coal mine, and help prevent accidents.

[0056] In some embodiments, the main control unit can also determine the image acquisition parameters according to the current network connection method of the smart helmet. For example, if the smart helmet is currently connected to the network via Wi-Fi and the network bandwidth is sufficient, the main control unit can select a higher image resolution parameter to transmit a clearer temperature image; if it is currently connected via Bluetooth, considering the relatively low Bluetooth transmission bandwidth, the main control unit appropriately reduces the image resolution to ensure that the image can be transmitted smoothly.

[0057] In some embodiments, the main control unit can also determine the image acquisition parameters according to the type of the image acquisition instruction. For example, if the image acquisition instruction may indicate collecting infrared pseudo-color thermal imaging, or may also indicate three-point temperature measurement, or indicate recording an infrared image video, etc., the main control unit can determine the corresponding acquisition parameters according to the type of the image acquisition instruction to obtain images that meet the requirements. Or, if the image acquisition instruction is a "quick scan instruction", the main control unit sets the wavelength range to a wider frequency band to quickly obtain the approximate temperature range of the target object; if it is a "precision temperature measurement instruction", the wavelength range is set to a narrower and more accurate frequency band to improve the accuracy of temperature measurement.

[0058] Step 103, send the image acquisition parameters to the infrared imaging module through the target interface.

[0059] In some embodiments, after determining the image acquisition parameters (such as a temperature resolution of 0.1 °C, a spatial resolution of 640×480, a wavelength range of 8 - 14 μm, a frame rate of 25 frames per second, an emissivity of 0.95, etc.), the main control unit can send these parameters to the infrared imaging module through the target interface. After receiving the parameters, the infrared imaging module performs initialization and preparation work according to the set parameters.

[0060] Step 104, after receiving the temperature image returned by the infrared imaging module, process the temperature image according to the current working mode of the smart helmet.

[0061] In some embodiments, the infrared imaging module works according to the set image acquisition parameters, collects the infrared radiation information of the target object and converts it into an electrical signal, generates a temperature image after internal processing, and then returns the temperature image to the main control unit through the target interface. After receiving the temperature image, the main control unit processes the temperature image according to the current working mode of the smart helmet:

[0062] In some embodiments, in the "conventional detection mode", the main control unit can perform simple color mapping processing on the temperature image, visually display different temperature ranges with different colors, and at the same time perform noise reduction processing on the image to remove some noise points generated by environmental interference and other factors, and then display the processed temperature image on the display screen of the smart helmet in real time.

[0063] In some embodiments, in the "fine detection mode", in addition to color mapping and noise reduction processing, the main control unit will also perform more complex analysis on the temperature image, such as automatically identifying temperature abnormal areas, calculating information such as the temperature difference and area of the abnormal areas through algorithms, and marking them with special identifiers on the display screen to facilitate the operator to more accurately judge the temperature status of the target object.

[0064] In some embodiments, if the current working scenario of the smart helmet is monitoring mode, equipment maintenance, fault prevention, etc., then it can be determined that its current working mode is the first mode. At this time, in order to minimize the amount of data transmitted between the smart helmet and the service device, when no abnormal data is found, the temperature image can be only displayed on the display screen of the smart helmet.

[0065] In some embodiments, if the current working scenario of the smart helmet is emergency rescue, etc., that is to say, the current working mode of the smart helmet is the second mode. At this time, to ensure safety, the temperature image can be displayed on the display screen of the smart helmet and the temperature image can be sent to the service device. So that the service device can view the on-site information synchronously.

[0066] In some embodiments, in order to improve the visual effect of the display interface, the display mode of the display screen may also be determined according to the current working mode of the smart helmet, and then the temperature image may be displayed on the display screen based on the display mode.

[0067] In some embodiments, the display mode of the display screen may be, for example, the background color, font type, page layout, etc. In different working modes, the temperature image is displayed through different display modes, thereby improving the visual effect of the display interface and increasing the recognition degree of the temperature image.

[0068] In some embodiments, if the image acquisition instruction is a data stream acquisition instruction, the main control unit may also determine the current time information; then the current time information is fused with the currently acquired temperature image to obtain a data stream including the time information, thereby providing a reliable basis for statistical analysis of the device operation status, environmental monitoring, etc. based on the acquired temperature image and time information.

[0069] In the embodiments of the present application, after the smart helmet receives the start instruction for the infrared imaging module, it first starts the target interface connected to the infrared imaging module, and then after receiving the image acquisition instruction, it determines the image acquisition parameters, and then acquires the temperature image based on the image acquisition parameters, and processes the acquired temperature image according to the working mode of the smart helmet. Thus, it realizes the rapid and accurate acquisition and processing of the temperature images required for various scenarios by using the smart helmet, improves the performance of the smart helmet, and the safety and efficiency of coal mine work, and effectively prevents the occurrence of accidents.

[0070] Figure 2 The figure is a schematic flow chart of another infrared thermal imaging temperature measurement method based on a smart helmet provided by the embodiments of the present application. The infrared thermal imaging temperature measurement method based on a smart helmet provided in this embodiment is executed by the smart helmet.

[0071] As Figure 2 shown, the infrared thermal imaging temperature measurement method based on a smart helmet includes:

[0072] Step 201, in response to receiving the start instruction for the infrared imaging module, start the target interface connected to the infrared imaging module.

[0073] Step 202, in response to receiving the image acquisition instruction, determine the image acquisition parameters.

[0074] Step 203, send the image acquisition parameters to the infrared imaging module through the target interface.

[0075] For the specific implementation of the above steps 201-203, reference may be made to the detailed description of steps 101-103 in the above embodiments, and details are not described herein again.

[0076] Step 204: Determine the temperature threshold and reference area information according to the current working mode of the intelligent helmet.

[0077] In some embodiments, the corresponding temperature thresholds and reference areas may be different for different working modes. After starting the infrared imaging module, the main control unit can determine the current temperature threshold and reference area according to the current working mode of the intelligent helmet.

[0078] For example, if the current working mode is the device monitoring mode, the temperature threshold can be determined according to the normal operating temperature of the device, and the reference area can be determined according to the range of the high-temperature area of the device. If the current working mode is the rescue mode, the temperature threshold can be determined according to the human body temperature, and the reference area information can be determined according to the rescue environment and the possible postures of the human body, etc. Thus, while ensuring that abnormalities can be detected based on the determined temperature threshold and reference area information, false alarms can be avoided.

[0079] Step 205: Output a warning message in response to at least one area in the temperature image satisfying the temperature threshold and reference area information.

[0080] In some embodiments, the warning message can be a voice warning, a helmet vibration warning, or sending a warning message to a service device, etc., and the present application does not limit this.

[0081] For example, in the scenario of equipment inspection, if it is detected that the temperature of a certain part of the equipment exceeds the normal operating temperature threshold, the main control unit can output a warning message. The warning message can be a sound alarm emitted by the buzzer of the intelligent helmet, and at the same time, the user can be prompted with a prominent color and icon on the display interface of the intelligent helmet.

[0082] In some embodiments, after determining the abnormality, the main control unit can also determine the current location information of the intelligent helmet. For example, it can determine its current location information through the positioning module built in the intelligent helmet, such as GPS, Beidou positioning module, or the environmental information where the intelligent helmet is currently located. Then, the main control unit can send the location information and the temperature image to a service device (such as a background monitoring server) through the communication module. The service device can further store and analyze these data for relevant personnel to perform subsequent processing, such as arranging maintenance personnel to go to the abnormal location for inspection, etc.

[0083] The infrared thermal imaging temperature measurement method based on an intelligent helmet provided by an embodiment of the present application. After the intelligent helmet receives a start instruction for the infrared imaging module, it first starts the target interface connected to the infrared imaging module, and then determines image acquisition parameters after receiving an image acquisition instruction. Then, based on the current working mode, it determines a temperature threshold and reference area information, and outputs a warning message after determining that at least one area meets the temperature threshold and reference area information. Thus, it realizes the use of the intelligent helmet to quickly and accurately perform safety monitoring or rescue, etc., improves the safety and efficiency of coal mine work, and effectively prevents accidents from occurring.

[0084] Figure 3 FIG. 4 is a schematic flowchart of another infrared thermal imaging temperature measurement method based on an intelligent helmet provided by an embodiment of the present application. The infrared thermal imaging temperature measurement method based on an intelligent helmet provided by this embodiment is executed by a service device.

[0085] As Figure 3 shown, the infrared thermal imaging temperature measurement method based on an intelligent helmet includes:

[0086] Step 301, in response to detecting that a control associated with the infrared thermal imaging module is touched, send an infrared imaging module start instruction to the intelligent helmet.

[0087] In some embodiments, an APP for controlling the intelligent helmet may be configured in the service device. When a user wants to use the infrared thermal imaging temperature measurement function of the intelligent helmet, the infrared imaging module on the intelligent helmet can be triggered to start through a control associated with the infrared thermal imaging module on the APP. For example, on the application program interface of the service device, there is a control labeled "Turn on Infrared Thermal Imaging". When the service device detects that this control is touched by the user (such as operations like finger clicking, touchpad clicking, etc.), the service device will send an infrared imaging module start instruction to the intelligent helmet. This start instruction can be transmitted to the intelligent helmet through a wireless communication link. After receiving this instruction, the intelligent helmet will start the internal infrared imaging module and make it enter the working preparation state, such as turning on the power of the module, initializing the internal circuit, etc.

[0088] In some embodiments, the APP may include various functional components, such as a message processing component for responding to different events, such as restarting the infrared imaging, completing the preview of a specific mode, handling the situation of initialization failure, and updating the timer on the interface, etc.

[0089] Optionally, the APP may further include a view initialization component: to load the user interface through data binding technology and set event listeners for controls such as buttons. At the same time, different pop-up windows are initialized for different interactive functions.

[0090] Optionally, the APP may also include a data stream and video encoder setting component for setting the data stream mode and initializing the video encoder according to whether an Image Signal Processing (ISP) algorithm is used, for subsequent video file generation.

[0091] Optionally, the APP may also include a camera parameter configuration component for configuring the parameters of the camera according to the data stream mode, including the sizes of image and temperature data, and allocating memory space for the image and temperature data.

[0092] Optionally, the APP may also include a data initialization component for calculating the screen size to ensure that the image is not stretched or distorted, and setting the parameters of the bitmap and temperature view.

[0093] Optionally, the APP may also include an Image Signal Processing component. Optionally, the application can start a thread to process the image signal, and this thread is only responsible for processing the image data.

[0094] Optionally, the APP may also include a progress dialog component for displaying the progress to the user during long operations.

[0095] Optionally, the APP may also include a USB device management component for registering the USB device and setting callbacks to handle device connection and disconnection. Meanwhile, the application sends and receives data through the USB device.

[0096] Optionally, the APP may also include a device restart component for restarting the USB device to handle operations that require re-initializing the device, such as gain switching.

[0097] Optionally, the APP may also include a device start and stop component for starting and stopping the functions of the USB device, including registering the USB device, setting the handler, and starting the preview.

[0098] Optionally, the APP may also include a title display control component for updating the color of the title bar according to the current operation mode to provide visual feedback.

[0099] Optionally, the APP may also include a button click event handling component for handling button click events, including setting the image mode, displaying the temperature view, controlling the shutter, taking pictures, and recording videos.

[0100] Optionally, the APP may also include a video recording component for implementing the function of recording videos, including starting and stopping the recording, and updating the timer on the interface. By recording the entire detection process, it provides complete video materials for subsequent data analysis.

[0101] Optionally, the APP may further include a time generation component: for generating a formatted time string to display the duration of video recording.

[0102] Optionally, the APP may further include a bitmap generation component: for merging the camera view and the temperature view to generate the current bitmap.

[0103] Optionally, the APP may further include a lifecycle management component: for managing its lifecycle, including starting the USB device and the ISP thread at the start of the activity, closing the progress dialog at the pause, interrupting the thread and stopping the device at the stop, and releasing resources at the destruction.

[0104] Optionally, the APP may provide an intuitive user interface, enabling the user to easily operate the above functions and view real-time data and history records.

[0105] Step 302, display the infrared imaging setting interface.

[0106] After the service device successfully sends an infrared imaging module start instruction to the smart helmet, the application program of the service device will display the infrared imaging setting interface. This interface can present various configurable parameter options in a graphical manner, such as temperature acquisition mode, image acquisition mode, image resolution, frame rate, etc. These parameter options can be displayed on the setting interface in the form of controls (such as radio buttons, checkboxes, drop-down menus, etc.), facilitating the user to make selections and settings.

[0107] Step 303, in response to detecting that the image acquisition control in the setting interface is touched, determine the selected control information in the setting interface.

[0108] When the user operates on the infrared imaging setting interface, if the service device detects that the image acquisition control in the setting interface is touched (for example, the user clicks the drop-down menu for selecting the image acquisition mode in the setting interface and selects a mode from it), the service device can determine the selected control information in the setting interface. The service device obtains the parameter value corresponding to the control selected by the user through a corresponding event listening mechanism (such as click event listening). For example, if the user selects the "high-resolution image acquisition mode", the service device will record the control information as "high-resolution image acquisition mode".

[0109] Step 304, generate an image acquisition instruction according to the selected control information.

[0110] In some embodiments, the service device may generate an image acquisition instruction according to the temperature acquisition mode and / or the image acquisition mode in the selected control information.

[0111] For example, if the selected control information indicates that the user has selected the "high-temperature rapid acquisition mode" (one of the temperature acquisition modes) and the "high frame rate image acquisition mode" (one of the image acquisition modes), the service device will encode this mode information into the image acquisition instruction according to the preset instruction format. The instruction will clearly include the relevant parameters for temperature acquisition (such as acquisition frequency, temperature threshold, etc.) and the relevant parameters for image acquisition (such as frame rate, resolution, etc.), so that the smart helmet can perform image acquisition according to the user's settings.

[0112] Step 305, send an image acquisition instruction to the smart helmet.

[0113] After the service device generates the image acquisition instruction, it sends the image acquisition instruction to the smart helmet through the wireless communication link with the smart helmet. After receiving the instruction, the smart helmet parses the parameter information in the instruction and configures the working parameters of the infrared thermal imaging module according to these parameter information. Subsequently, the infrared thermal imaging module starts to acquire the infrared thermal imaging image of the target object according to the configured parameters.

[0114] In the infrared thermal imaging temperature measurement method based on a smart helmet provided by the embodiments of the present application, the service device can control the infrared imaging module in the smart helmet to perform infrared image acquisition according to the received control instruction. Thus, the infrared image acquisition based on the smart helmet is realized, and the safety and production efficiency of coal mine production are improved.

[0115] To implement the above embodiments, the present application also proposes an infrared thermal imaging temperature measurement device based on a smart helmet.

[0116] The infrared thermal imaging temperature measurement device based on a smart helmet can be configured on the smart helmet side or the service device side. If the device is configured on the smart helmet side, the device may include:

[0117] A start module, configured to start a target interface connected to the infrared imaging module in response to receiving a start instruction for the infrared imaging module;

[0118] A determination module, configured to determine image acquisition parameters in response to receiving an image acquisition instruction;

[0119] A transmission module, configured to send the image acquisition parameters to the infrared imaging module through the target interface;

[0120] A processing module, configured to process the temperature image according to the current working mode of the smart helmet after receiving the temperature image returned by the infrared imaging module.

[0121] Further, in a possible implementation manner of the embodiments of the present application, the above determination module is configured to:

[0122] Determine the image acquisition parameters according to at least one of the following:

[0123] Attribute information of the device that sends the image acquisition instruction;

[0124] The current working mode of the intelligent helmet;

[0125] The current network connection mode of the intelligent helmet;

[0126] The type of the image acquisition instruction.

[0127] Furthermore, in a possible implementation manner of the embodiment of the present application, the image acquisition parameters include at least one of the following: temperature resolution, spatial resolution, wavelength range, frame rate, emissivity.

[0128] Furthermore, in a possible implementation manner of the embodiment of the present application, the above processing module is further configured to:

[0129] In response to the current working mode of the intelligent helmet being the first mode, display the temperature image on the display screen of the intelligent helmet;

[0130] In response to the current working mode of the intelligent helmet being the second mode, display the temperature image on the display screen of the intelligent helmet and send the temperature image to the service device.

[0131] Furthermore, in a possible implementation manner of the embodiment of the present application, the above processing module is further configured to:

[0132] Determine the display mode of the display screen according to the current working mode of the intelligent helmet;

[0133] Based on the display mode, display the temperature image on the display screen.

[0134] Furthermore, in a possible implementation manner of the embodiment of the present application, the above processing module is further configured to: determine a temperature threshold and reference area information according to the current working mode of the intelligent helmet;

[0135] The above device further includes an output module, configured to output a warning message in response to at least one area in the temperature image satisfying the temperature threshold and the reference area information.

[0136] Furthermore, in a possible implementation manner of the embodiment of the present application, the above determination module is further configured to: determine the location information of the current location of the intelligent helmet in response to at least one area in the temperature image satisfying the temperature threshold and the reference area information;

[0137] The above device further includes an output module, which is further configured to send the position information and the temperature image to a service device.

[0138] Further, in a possible implementation manner of the embodiment of the present application, the above determination module is further configured to:

[0139] In response to the image acquisition instruction being a data stream acquisition instruction, determine the current time information;

[0140] The above processing module is further configured to fuse the current time information with the currently acquired temperature image.

[0141] If the device is configured in a service device, the device may include:

[0142] A communication module, configured to send an infrared imaging module start instruction to the smart helmet in response to detecting that a control associated with the infrared thermal imaging module is touched;

[0143] A display module, configured to display an infrared imaging setting interface;

[0144] A determination module, configured to determine the selected control information in the setting interface in response to detecting that an image acquisition control in the setting interface is touched;

[0145] A generation module, configured to generate an image acquisition instruction according to the selected control information;

[0146] The above communication module is further configured to send the image acquisition instruction to the smart helmet.

[0147] Further, in a possible implementation manner of the embodiment of the present application, the above generation module is further configured to:

[0148] Generate an image acquisition instruction according to the temperature acquisition mode and / or image acquisition mode in the selected control information.

[0149] It should be noted that the foregoing explanation of the embodiment of the infrared thermal imaging temperature measurement method based on a smart helmet also applies to the infrared thermal imaging temperature measurement device based on a smart helmet in this embodiment, and details are not described herein again.

[0150] To implement the above embodiment, the present application further provides an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiment.

[0151] To implement the above embodiments, the present application further provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the methods provided in the foregoing embodiments when executed by a processor.

[0152] To implement the above embodiments, the present application further provides a computer program product including a computer program, which implements the methods provided in the foregoing embodiments when executed by a processor.

[0153] In the description of the foregoing embodiments, the descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0154] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0155] Any process or method description in a flowchart or described in other ways herein may be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logic function or process, and the scope of the preferred embodiments of the present application includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0156] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered as a definitional sequence list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection part having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other appropriate processing as necessary, and then storing it in a computer memory.

[0157] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0158] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of implementing the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0159] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0160] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. An infrared thermal imaging temperature measurement method based on an intelligent helmet, characterized in that, The method is executed by a smart helmet, and the method includes the following steps: In response to receiving a startup instruction for an infrared imaging module, start a target interface connected to the infrared imaging module; In response to receiving an image acquisition instruction, determine image acquisition parameters; Send the image acquisition parameters to the infrared imaging module through the target interface; After receiving the temperature image returned by the infrared imaging module, process the temperature image according to the current working mode of the smart helmet.

2. The method according to claim 1, characterized in that, The step of in response to receiving an image acquisition instruction and determining image acquisition parameters includes: Determine the image acquisition parameters according to at least one of the following: Attribute information of the device that sends the image acquisition instruction; The current working mode of the smart helmet; The current network connection method of the smart helmet; The type of the image acquisition instruction.

3. The method according to claim 1, wherein The image acquisition parameters include at least one of the following: temperature resolution, spatial resolution, wavelength range, frame rate, emissivity.

4. The method according to claim 1, characterized in that, The step of processing the temperature image according to the current working mode of the smart helmet includes at least one of the following: In response to the current working mode of the smart helmet being the first mode, display the temperature image on the display screen of the smart helmet; In response to the current working mode of the smart helmet being the second mode, display the temperature image on the display screen of the smart helmet and send the temperature image to a service device.

5. The method according to claim 4, wherein The step of displaying the temperature image on the display screen of the smart helmet includes: Determine the display mode of the display screen according to the current working mode of the smart helmet; Based on the display mode, display the temperature image on the display screen.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Determine a temperature threshold and reference area information according to the current working mode of the smart helmet; In response to at least one area in the temperature image satisfying the temperature threshold and reference area information, output a warning message.

7. The method according to claim 6, wherein After determining the temperature threshold and reference area information, it further includes: In response to at least one area in the temperature image satisfying the temperature threshold and reference area information, determine the location information of the current location of the smart helmet; Send the location information and the temperature image to a service device.

8. The method according to claim 6, wherein The method further includes: In response to the image acquisition instruction being a data stream acquisition instruction, determine the current time information; Fuse the current time information with the currently acquired temperature image.

9. An infrared thermal imaging temperature measurement method based on an intelligent helmet, characterized in that, The method is executed by a service device connected to the smart helmet, and the method includes the following steps: In response to monitoring that a control associated with the infrared thermal imaging module is touched, send an infrared imaging module startup instruction to the smart helmet; Display an infrared imaging setting interface; In response to monitoring that an image acquisition control in the setting interface is touched, determine the selected control information in the setting interface; Generate an image acquisition instruction according to the selected control information; Send the image acquisition instruction to the smart helmet.

10. The method according to claim 9, wherein The step of generating an image acquisition instruction according to the selected control information includes: Generate an image acquisition instruction according to the temperature acquisition mode and / or the image acquisition mode in the selected control information.

Images