Intelligent flood prevention operation helmet and flood prevention information integrated processing method

Abstract

The embodiment of the invention provides an intelligent flood prevention operation helmet and a flood prevention information integrated processing method.The intelligent flood prevention operation helmet comprises a helmet body, a function module, a processing module, a voice module and a power supply module, and the function module, the processing module, the voice module and the power supply module are fixed to the helmet body through a quick-release structure; the function module and the voice module are electrically connected with the processing module, and the voice processing module is used for receiving voice information according to the microphone unit, processing the voice information, generating a voice instruction and sending the voice instruction to the processing module; and the processing module is used for processing the voice instruction sent by the voice module and generating a corresponding control instruction based on the current working state of the functional module so as to control the functional module, so that the problem that in the traditional flood prevention operation, flood prevention personnel need to carry various devices, and the working efficiency is high is solved. And different equipment needs to be selected according to different environments, so that the carrying is inconvenient.

Description

Technical Field

[0001] The present invention relates to the field of smart flood prevention, and in particular to an intelligent flood prevention operation helmet and a flood prevention information integration processing method. Background Art

[0002] As the importance of flood prevention becomes increasingly prominent, traditional flood prevention operation methods can no longer meet the needs of modern flood prevention and disaster reduction.

[0003] In traditional flood control operation methods, workers usually need to carry a variety of equipment to complete various tasks such as clocking in, taking photos, lighting and communicating, which not only increases the burden on workers, but also makes the operation complicated due to the large number of equipment, especially in inconvenient operation under bad weather conditions, and there are safety hazards. Therefore, in the existing flood control operation methods, there is a problem that flood control workers need to carry a variety of equipment, and they also need to choose different equipment according to different environments, which causes inconvenience in carrying. Summary of the invention

[0004] The embodiments of the present invention provide an intelligent flood prevention operation helmet and a flood prevention information integration processing method to solve the problem in existing flood prevention operation methods that flood prevention workers need to carry a variety of equipment and need to select different equipment according to different environments, which causes inconvenience in carrying.

[0005] In a first aspect, an embodiment of the present invention provides an intelligent flood prevention helmet, comprising: a helmet body, a functional module, a processing module, a voice module and a power supply module, wherein the functional module, the processing module, the voice module and the power supply module are fixed to the helmet body through a quick-release structure, and the functional module and the voice module are electrically connected to the processing module respectively, wherein: The voice module is used to receive voice information from the microphone unit, process the voice information, generate voice instructions, and send them to the processing module; The processing module is used to generate corresponding control instructions based on the voice instructions and the current working state of the functional module to control the corresponding functional module.

[0006] Optionally, the functional modules include a lighting module, a display module, a communication module, a camera module and a positioning module, and the display module is used to display related information acquired by one or more functional modules according to the first control instruction generated by the processing module.

[0007] Optionally, the lighting module is used to control the working state of the corresponding lighting fixture according to the second control instruction generated by the processing module.

[0008] Optionally, the communication module is used to send a voice communication request or a video communication request to the corresponding target communication device according to the third control instruction generated by the processing module and based on the working status of the camera module, so as to control the target communication device to perform voice communication or video communication.

[0009] Optionally, the positioning module is used to obtain at least current positioning data through a corresponding positioning device according to a fourth control instruction generated by the processing module, and upload the current positioning data to a target terminal.

[0010] Optionally, the processing module includes a wireless connection interface, and is wirelessly connected to the functional module and the voice module based on the wireless connection interface, wherein: The processing module sends control instructions to the function module and the voice module through the wireless connection interface, and receives feedback information from the function module and the voice module.

[0011] In a second aspect, an embodiment of the present invention further provides a method for integrated processing of flood control information, the method steps comprising: Acquire the voice command and the working state of at least one functional module; Based on a preset semantic model, a control instruction corresponding to the voice instruction is determined, and the voice instruction and a working state of at least one functional module are processed.

[0012] Optionally, determining a control instruction corresponding to the voice instruction based on a preset semantic model, and processing the voice instruction and a working state of at least one functional module include: Based on the preset semantic model, judging the validity of the voice instruction to determine the validity of the voice instruction; Based on the validity of the voice instruction and the working state of at least one functional module, a control instruction corresponding to the voice instruction is generated.

[0013] Optionally, the voice instruction is processed based on a preset semantic model to determine a control instruction corresponding to the voice instruction, and the method further includes: Determine current environment data based on the camera data acquired by the camera module and the positioning data acquired by the positioning module; Based on the current environment data, the voice instruction is processed to generate at least one control instruction.

[0014] Optionally, the voice command is processed based on the current environment data to generate at least one control command, and the method further includes: Based on the current environmental data, determining a hazard level corresponding to the current environmental data; Based on the hazard level, determining a corresponding hazard response strategy; Based on the hazard response strategy, the voice instruction is processed to generate at least one control instruction.

[0015] In the embodiment of the present invention, the helmet body, the functional module, the processing module, the voice module and the power supply module are fixed on the helmet body through a quick-release structure, and the functional module and the voice module are electrically connected to the processing module, respectively, wherein: the processing module processes the voice instructions sent by the voice module, generates corresponding control instructions based on the working state of the functional module, and controls the functional module through the control instructions; the voice module receives voice information through the microphone unit, processes the voice information, generates voice instructions, and sends them to the processing module after generating voice instructions, thereby reducing the workload of flood prevention personnel, improving the work efficiency of flood prevention operations, and improving the safety of flood prevention operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a structural schematic diagram of an intelligent flood prevention helmet provided in an embodiment of the present invention; Figure 2 is a flow chart of steps of a flood control information integration processing method provided by an embodiment of the present invention; Figure 3 yes Figure 2 Specific flow chart of step 202; Figure 4 yes Figure 2 The specific flow chart before step 202; Figure 5 yes Figure 2 The specific flow chart after step 202 in FIG. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" (if any) should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0020] like Figure 1 As shown, Figure 1 It is a structural schematic diagram of an intelligent flood prevention helmet provided by an embodiment of the present invention, and the intelligent flood prevention helmet includes: a helmet body, a functional module, a processing module, a voice module and a power supply module, wherein the functional module, the processing module, the voice module and the power supply module are fixed on the helmet body through a quick-release structure, and the functional module and the voice module are electrically connected to the processing module respectively, wherein: the voice module is used to receive voice information according to a microphone unit, and process the voice information, and after generating a voice instruction, send it to the processing module; the processing module is used to generate a corresponding control instruction based on the voice instruction and the current working state of the functional module to control the corresponding functional module.

[0021] Specifically, the functional modules, processing module 7, voice module 8 and power supply module 9 can be connected to the helmet body 1 through any quick-release structure of the helmet. It is understandable that the quick-release structure can be a component such as a slot, buckle or any other mechanical connection fixed to the helmet body 1. The functional modules can also include Figure 1 The lighting module 2, display module 3, communication module 4, camera module 5 and positioning module 6 in the embodiment of the present invention are shown in FIG. Among them, the above functional modules can be electrically connected to each other for signal transmission, and each different functional module can also be electrically connected to the above processing module 7 and voice module 8, that is, the voice signal received by the voice module 8 can be converted into an electronic signal through module components such as digital-to-analog conversion, and the electronic signal can be transmitted to other functional modules through electrical connection.

[0022] The processing module 7 can process the voice signal processed by the voice module 8 to obtain a corresponding electronic signal, and then generate a corresponding control signal to the corresponding functional module according to the electronic signal. Generally speaking, the processing module 7 can be any module that integrates a control system and a voice processing system, that is, the voice processing system can analyze and process the signal processed by the voice module 8, convert the voice signal into a control signal, and then send the control signal to the corresponding functional module through the control system, so that the functional module works according to the content of the control signal.

[0023] The power supply module 9 can also be connected to the helmet body 1 through the quick-detachable structure. It should be noted that the quick-detachable structure of the power supply module 9 can also perform energy transmission, that is, the power supply module 9 can be connected to the helmet body 1 through the quick-detachable structure and supply energy to the functional module, voice module 8 and processing module 7.

[0024] The voice module 8 can receive voice information from the outside world or the user through a voice signal receiving device such as a microphone unit, and process the received voice information so that the subsequent processing module 7 can generate a corresponding control signal according to the processed voice information.

[0025] When the processing module 7 generates a control signal to control the corresponding functional module, it can also change or improve the control signal in combination with the working state of the current functional module. For example, when the user says to send a live picture to the microphone, if the processing module 7 detects that the camera module 5 is not in a working state, it will first send a control signal to turn on the camera module 5, and then send a control signal to control the camera module 5 to take a live picture. If the processing module 7 detects that the camera module 5 is in a working state, it will directly send a control signal to control the camera module 5 to take a live picture.

[0026] More specifically, the display module 3 is used to display related information obtained by one or more functional modules according to the first control instruction generated by the processing module 7. The related information may be the task information obtained by the communication module 4, the coordinate information obtained by the positioning module 6 and the image information obtained by the camera module 5. It may also be the corresponding strategy information obtained by integrating and analyzing the information obtained by the communication module 4, the positioning module 6 and the camera module 5.

[0027] The above-mentioned task information may be detailed information for the current flood prevention work, such as a video call image, a task target image, and a flood prevention task introduction.

[0028] The above coordinate information can be the coordinate information of the person wearing the current helmet body 1, the task coordinate information and the coordinate information of teammates. The coordinate information can be converted into digital and 3D through the display module 3 and displayed on the display screen attached to the display module 3.

[0029] The above-mentioned image information can be picture data or video data captured by the camera attached to the above-mentioned camera module 5, and displayed through the display screen attached to the display module 3.

[0030] The above-mentioned strategy information can be the task guidance information generated after the above-mentioned processing module 7 analyzes and processes the above-mentioned task information, coordinate information and image information. The task guidance information can help the current helmet body 1 wearer to perform effective flood prevention work and improve the efficiency of flood prevention work. For example, by obtaining the target location in the above-mentioned task information, and then calculating the nearest and optimal route map according to the coordinate information of the current flood prevention personnel, and displaying it on the display screen, wherein, for the optimal route map, the safety factor of the route map can also be calculated according to the picture data or video data obtained by the camera module 5, combined with the current coordinate information, and the route with the highest safety factor is set as the optimal route. Generally speaking, the task guidance information can be displayed on the display screen of the above-mentioned display module 3 in the form of AR, and communicated and interacted through the communication module 4 and the voice module 8.

[0031] The lighting module 2 is used to control the working state of the corresponding lighting fixture according to the second control instruction generated by the processing module 7, wherein the processing module 7 determines the environmental data of the current flood prevention personnel after acquiring and analyzing the above-mentioned associated information, and controls the illumination range and illumination mode of the current lighting fixture according to the environmental data. For example, when the processing module 7 analyzes the environmental data of the current flood prevention personnel and the result is that the current flood prevention personnel are submerged by the flood and in the dark, the current analysis signal result may be that help is needed, and the lighting fixture is controlled to flash or flash to attract the attention of the search and rescue personnel.

[0032] The communication module 4 is used to send a voice communication request or a video communication request to the corresponding target communication device according to the third control instruction generated by the processing module 7 and based on the working state of the camera module 5, so as to control the target communication device to perform voice communication or video communication. In a possible embodiment, since the camera module 5 is in an offline state, the third control instruction generated by the processing module 7 can be to directly control the target communication device to send a voice communication request, that is, to directly control the voice module 8 to make a call request in priority, so that the communication in the flood prevention work will not be blocked.

[0033] The above-mentioned positioning module 6 can be used to obtain at least the current positioning data through the corresponding positioning device according to the fourth control instruction generated by the above-mentioned processing module 7, and upload the current positioning data to the target terminal. The above-mentioned target terminal can be the command system of the current flood prevention work, or the helmet of the current flood prevention personnel, or the smart terminal carried by the flood prevention personnel, such as a mobile phone, a laptop computer, etc.

[0034] The processing module 7 may include but is not limited to a wireless connection interface, and may be wirelessly connected to the functional module and the voice module based on the wireless connection interface. In a possible embodiment, the processing module 7 sends control instructions to the functional module and the voice module through the wireless connection interface, and receives feedback information from the functional module and the voice module. The feedback information may be status information after the voice module controls the corresponding functional module. For example, flood control personnel send a control instruction to turn on the camera through the voice module, and the camera module feeds back the current working status to the processing module according to the working status of the camera, so that the processing module can determine the current working status of the camera.

[0035] In the embodiment of the present invention, the helmet body, the functional module, the processing module, the voice module and the power supply module are fixed on the helmet body through a quick-release structure, and the functional module and the voice module are electrically connected to the processing module, respectively, wherein: the processing module processes the voice instructions sent by the voice module, generates corresponding control instructions based on the working state of the functional module, and controls the functional module through the control instructions; the voice module receives voice information through the microphone unit, processes the voice information, generates voice instructions, and sends them to the processing module after generating voice instructions, thereby reducing the workload of flood prevention personnel, improving the work efficiency of flood prevention operations, and improving the safety of flood prevention operations.

[0036] like Figure 2 As shown, Figure 2 A flood control information integration processing method provided by an embodiment of the present invention includes steps 201-202, wherein: Acquire voice commands and the working status of at least one functional module. In an embodiment of the present invention, the above-mentioned flood control information integration processing method can be used in the above-mentioned intelligent flood control operation helmet, and the above-mentioned intelligent flood control operation helmet can carry an intelligent voice control system for controlling various functional modules of the helmet.

[0037] The above-mentioned voice instructions can be obtained by receiving external voice information through the microphone attached to the above-mentioned voice module 8. Generally speaking, after the voice instructions are received through the microphone, they also need to be converted into corresponding electronic signals through digital-to-analog conversion before subsequent processing can be carried out.

[0038] The working status of the above functional modules may include but are not limited to offline, online, working and non-working states.

[0039] Based on the preset semantic model, the control instruction corresponding to the voice instruction is determined, and the voice instruction and the working state of at least one functional module are processed. The preset semantic model can be any deep learning model that can perform semantic analysis on the voice information received by the microphone to obtain the control content corresponding to the voice information. The voice instruction can include but is not limited to data such as the object function module and the execution content, which is used to drive the corresponding function module to perform the corresponding function.

[0040] In a possible embodiment, the above-mentioned intelligent voice control system receives and parses the user's voice commands, converts the voice data into text, recognizes and converts the text through a preset semantic model, obtains corresponding control instructions, and at the same time, monitors, tracks and records the working status of each functional module, and controls the working status of each functional module according to the control instructions.

[0041] Optional, such as Figure 3 As shown, in the above-mentioned flood control information integration processing method, based on the preset semantic model, the control instruction corresponding to the voice instruction is determined, and the voice instruction and the working state of at least one functional module are processed, and steps 301-303 are also included, wherein: 301. Based on a preset semantic model, the voice command is judged to determine the validity of the voice command.

[0042] In an embodiment of the present invention, the above-mentioned validity judgment can be used to judge the understanding of the content of the above-mentioned voice instructions. Generally speaking, due to the influence of environmental factors, there may be errors in the sound collection of the microphone, and therefore the received voice instructions may be defective. Therefore, the above-mentioned preset semantic model can be used to judge the validity of the defective voice instructions, determine the defective part corresponding to the voice instructions, and repair it through the preset semantic model to make the voice instructions complete, and finally generate the corresponding control instructions by semantically recognizing the complete voice instructions.

[0043] 302. Generate a control instruction corresponding to the voice instruction based on the validity of the voice instruction and the working state of at least one functional module.

[0044] In a possible embodiment, the intelligent voice control system judges the validity of the voice command through the preset semantic model, and repairs it through the preset semantic model according to the judgment result, generates corresponding control instructions according to the repaired complete voice command, and controls the functional module through the control instruction according to the working status of the corresponding functional module.

[0045] Optional, such as Figure 4As shown, in the above-mentioned flood control information integration processing method, based on the preset semantic model, the voice command is processed, and the step of determining the control command corresponding to the voice command also includes steps 401-403, wherein: 401. Determine current environment data based on the camera data acquired by the camera module and the positioning data acquired by the positioning module.

[0046] In an embodiment of the present invention, the above-mentioned positioning data may include but is not limited to coordinate information. The above-mentioned coordinate information may be the coordinate information of the person wearing the above-mentioned helmet, the task coordinate information and the coordinate information of teammates. The coordinate information can be converted into digitalization and 3D through the above-mentioned display module 3 and displayed on the display screen attached to the display module 3.

[0047] The current environmental data may be obtained by identifying the image data or video data acquired by the camera module 5. The current environmental data may include but is not limited to the location of the flood control personnel, such as altitude, terrain, etc.

[0048] 402. Process the voice command based on current environment data to generate at least one control command.

[0049] In a possible embodiment, the intelligent voice control system processes the voice commands issued by flood control personnel according to the current environmental data, and generates corresponding control commands to meet the control requirements in the current environment.

[0050] Specifically, when the processing module 7 analyzes the environmental data of the current flood prevention personnel and the result is that the current flood prevention personnel are submerged in the flood and in the dark, and the voice command is for help, the current analysis signal result may be that help is needed, and the lighting fixtures are controlled to flash or blink to attract the attention of the search and rescue personnel.

[0051] Optional, such as Figure 5 As shown, in the above-mentioned flood control information integration processing method, based on the current environmental data, the voice command is processed to generate at least one control command, and steps 501-503 are also included, wherein: 501. Based on the current environmental data, determine the hazard level corresponding to the current environmental data.

[0052] In the embodiment of the present invention, the current environment data can be obtained by photographing the surrounding environment through the camera attached to the camera module, and then performing image recognition through the processing module. It is understandable that in order to meet the requirements of flood control, the camera can also have night vision function, motion detection and environmental analysis capabilities, and can select a photography mode that matches the current lighting according to the lighting mode corresponding to the lighting module, photograph the surrounding environment, and output the corresponding environmental photos.

[0053] The above hazard level can be determined based on the environmental factors in the image after image recognition of the environmental photo. For example, when the geological soil in the image is loose, or there is a large slope of water flow, it is determined to be a natural disaster and a higher hazard level can be set.

[0054] 502. Based on the hazard level, determine the corresponding hazard response strategy.

[0055] The above-mentioned hazard response strategy can be a response measure prepared in advance according to the above-mentioned hazard level. Generally speaking, the above-mentioned hazard response strategy can also be improved in combination with current environmental data, and displayed to flood control personnel through a display module for reminder.

[0056] Specifically, the above-mentioned hazard response strategies can be divided into corresponding strategies according to three levels: low, medium and high. Each level can have fixed items that must be executed at the current level, that is, the low level executes continued monitoring work, the medium level executes alarm work, and the high level executes emergency evacuation prompts, etc.

[0057] 503. Based on the hazard response strategy, process the voice command to generate at least one control command.

[0058] In a possible embodiment, the above-mentioned intelligent voice control system optimizes the voice instructions through the content of the above-mentioned hazard response strategy, so that the control content of the voice instructions can be adjusted according to the current environmental data, and generates at least one corresponding control instruction according to the adjusted voice instructions to control the corresponding functional module to work.

[0059] Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0060] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An intelligent flood prevention helmet, characterized in that: include: A helmet body, a functional module, a processing module, a voice module and a power supply module, wherein the functional module, the processing module, the voice module and the power supply module are fixed to the helmet body through a quick-release structure, and the functional module and the voice module are electrically connected to the processing module respectively, wherein: The voice module is used to receive voice information from the microphone unit, process the voice information, generate voice instructions, and send them to the processing module; The processing module is used to generate corresponding control instructions to control the corresponding functional modules based on the voice instructions and the current working state of the functional modules.

2. The intelligent flood prevention helmet according to claim 1, characterized in that: The functional modules include a lighting module, a display module, a communication module, a camera module and a positioning module. The display module is used to display the associated information acquired by one or more functional modules according to the first control instruction generated by the processing module.

3. The intelligent flood prevention helmet according to claim 2, characterized in that: The lighting module is used to control the working state of the corresponding lighting fixture according to the second control instruction generated by the processing module.

4. The intelligent flood prevention helmet according to claim 2, characterized in that: The communication module is used to send a voice communication request or a video communication request to the corresponding target communication device according to the third control instruction generated by the processing module and based on the working state of the camera module, so as to control the target communication device to perform voice communication or video communication.

5. The intelligent flood prevention helmet according to claim 2, characterized in that: The positioning module is used to obtain at least current positioning data through a corresponding positioning device according to the fourth control instruction generated by the processing module, and upload the current positioning data to a target terminal.

6. The intelligent flood prevention helmet according to claim 1, characterized in that: The processing module includes a wireless connection interface, and is wirelessly connected to the functional module and the voice module based on the wireless connection interface, wherein: The processing module sends control instructions to the function module and the voice module through the wireless connection interface, and receives feedback information from the function module and the voice module.

7. A flood control information integration processing method, characterized in that: Applied to the intelligent flood prevention helmet according to any one of claims 1 to 6, the processing module is used to generate corresponding control instructions to control the corresponding functional modules based on the voice instructions and the current working state of the functional modules, including: Acquire the voice command and the working state of at least one functional module; Based on a preset semantic model, a control instruction corresponding to the voice instruction is determined, and the voice instruction and a working state of at least one functional module are processed.

8. A flood control information integration processing method as claimed in claim 7, characterized in that: The determining, based on a preset semantic model, a control instruction corresponding to the voice instruction, and processing the voice instruction and a working state of at least one functional module include: Based on the preset semantic model, judging the validity of the voice instruction to determine the validity of the voice instruction; Based on the validity of the voice instruction and the working state of at least one functional module, a control instruction corresponding to the voice instruction is generated.

9. A flood control information integration processing method according to claim 7, characterized in that: The method further comprises: processing the voice instruction based on a preset semantic model to determine a control instruction corresponding to the voice instruction; Determine current environment data based on the camera data acquired by the camera module and the positioning data acquired by the positioning module; Based on the current environment data, the voice instruction is processed to generate at least one control instruction.

10. A flood control information integration processing method according to claim 9, characterized in that: The method further comprises: processing the voice command based on the current environment data to generate at least one control command; Based on the current environmental data, determining a hazard level corresponding to the current environmental data; Based on the hazard level, determining a corresponding hazard response strategy; Based on the hazard response strategy, the voice instruction is processed to generate at least one control instruction.

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