WO2020182096A1

WO2020182096A1 - Method and device for generating rescue instruction

Info

Publication number: WO2020182096A1
Application number: PCT/CN2020/078405
Authority: WO
Inventors: 陆乐; 俸安琪; 徐春旭; 丘富铨; 田中秀治; 喜熨斗智也
Original assignee: 上海救要救信息科技有限公司
Priority date: 2019-03-14
Filing date: 2020-03-09
Publication date: 2020-09-17
Also published as: CN109908508A

Abstract

The present invention aims to provide a method and device for generating a rescue instruction. The method comprises: a wearable rescue device transmits an on-site image to a corresponding network device; the network device determines rescue data information of a rescue subject of a rescue site on the basis of the on-site image and transmits the rescue data information to the wearable rescue device; and the wearable rescue device acquires a corresponding rescue instruction for performing on-site rescue of the rescue subject and provides the rescue instruction to a corresponding on-site rescue user.

Description

Method and equipment for generating rescue instructions

Technical field

This application relates to the field of rescue, in particular to a technology for generating rescue instructions.

Background technique

In some emergencies, such as large-scale sports events, field and other emergencies, the injured, trapped and other people often need efficient and accurate rescue. At present, such rescue work is often based on the experience and experience of rescue workers. Judging the situation on the scene, the existing technology cannot provide a personalized rescue plan for each person in need, and the rescue efficiency needs to be improved.

Summary of the invention

One purpose of this application is to provide a method and equipment for generating rescue instructions.

According to one aspect of the present application, there is provided a method for generating rescue instructions on a wearable rescue device. The method includes:

Taking a scene image of the rescue scene through a camera device installed in the wearable rescue equipment;

Determining the rescue data information of the rescued object at the rescue scene based on the scene image;

Obtain the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provide the rescue instruction to the corresponding on-site rescue user.

According to another aspect of the present application, there is provided a method for generating rescue instructions on a network device side, the method including:

Receive the scene image of the rescue scene sent by the corresponding wearable rescue device;

Sending the rescue data information to the wearable rescue device.

According to another aspect of the present application, a method for generating rescue instructions is provided, the method including:

The wearable rescue device shoots live images of the rescue scene through the camera device installed in the wearable rescue equipment, and sends the live images to the corresponding network device;

The network device determines the rescue data information of the rescued object at the rescue site based on the scene image, and sends the rescue data information to the wearable rescue device;

The wearable rescue device receives rescue data information, obtains rescue instructions corresponding to the rescue data information for on-site rescue of the rescued object, and provides the rescue instructions to corresponding on-site rescue users.

According to an aspect of the present application, there is provided a device for generating rescue instructions, wherein the device includes:

Processor; and

A memory arranged to store computer-executable instructions which, when executed, cause the processor to perform operations according to any of the above methods.

According to another aspect of the present application, there is provided a computer-readable medium storing instructions that, when executed, cause a system to perform operations according to any of the above methods.

Compared with the prior art, this application determines the relevant information according to their identity after identifying the rescued person, and generates corresponding rescue instructions based on this information for rescuers on the scene to carry out rescue operations, which can provide the rescued person with personalized rescue The plan also improves rescue efficiency, and reduces the requirements of rescue operations on the experience of rescuers and the judgment of on-site conditions.

Description of the drawings

By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes and advantages of the present application will become more apparent:

Fig. 1 is a flowchart of a method for generating rescue instructions according to an embodiment of the present application;

Fig. 2 is a flowchart of a method for generating rescue instructions on a wearable rescue device according to an embodiment of the present application;

Fig. 3 is a flowchart of a method for generating rescue instructions on a network device according to an embodiment of the present application;

Fig. 4 shows functional modules of a wearable rescue device according to an embodiment of the present application;

Fig. 5 shows a functional module of a network device according to another embodiment of the present application;

Fig. 6 shows the functional modules of an exemplary system of the present application.

The same or similar reference signs in the drawings represent the same or similar components.

detailed description

The application will be further described in detail below in conjunction with the drawings.

In a typical configuration of this application, the terminal, the equipment of the service network, and the trusted party all include one or more processors (for example, a central processing unit (CPU)), input/output interfaces, network interfaces, and RAM.

Memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory (Read Only Memory). Flash Memory). Memory is an example of computer readable media.

Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, Phase-Change Memory (PCM), Programmable Random Access Memory (PRAM), and Static Random-Access Memory (PRAM). SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), other types of random access memory (Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), electrically erasable and programmable Read-only memory (Electrically-Erasable Programmable Read-Only Memory, EEPROM), Flash Memory (Flash Memory) or other memory technologies, Compact Disc Read-Only Memory (CD-ROM), Digital Multi Digital Versatile Disc (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices.

The equipment referred to in this application includes but is not limited to user equipment, network equipment, or equipment formed by the integration of user equipment and network equipment through a network. The user equipment includes, but is not limited to, any mobile electronic product that can perform human-computer interaction with the user (for example, human-computer interaction through a touchpad), such as a smart phone, a tablet computer, etc., and the mobile electronic product can adopt any operation System, such as Android operating system, iOS operating system, etc. Wherein, the network device includes an electronic device that can automatically perform numerical calculation and information processing in accordance with pre-set or stored instructions, and its hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC) ), programmable logic devices (Programmable Logic Device, PLD), Field Programmable Gate Array (Field Programmable Gate Array, FPGA), Digital Signal Processor (Digital Signal Processor, DSP), embedded devices, etc. The network device includes, but is not limited to, a computer, a network host, a single network server, a set of multiple network servers, or a cloud composed of multiple servers; here, the cloud is composed of a large number of computers or network servers based on Cloud Computing, Among them, cloud computing is a type of distributed computing, a virtual supercomputer composed of a group of loosely coupled computer sets. The network includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and a wireless ad hoc network (Ad Hoc Network). Preferably, the device may also be a program running on the user equipment, network equipment, or user equipment and network equipment, network equipment, touch terminal, or a device formed by integrating network equipment and touch terminal through a network.

Of course, those skilled in the art should understand that the above-mentioned equipment is only an example, and other existing or possible future equipment, if applicable to this application, should also be included in the scope of protection of this application, and is included here by reference. this.

In the description of this application, "plurality" means two or more, unless otherwise clearly defined.

According to one aspect of the present application, a method for generating rescue instructions is provided. Referring to Figure 1, the method includes the following steps:

The wearable rescue device referred to in this application is a hardware device, including but not limited to smart helmets, smart glasses or other hardware devices, which can be directly worn on the user's body or integrated into the user's clothes or other accessories. Optionally, it has the ability to communicate with other devices (for example, including but not limited to other user devices of the same user, or user devices of other users, cloud servers and other network devices, etc.).

Hereinafter, some specific implementations of the above method will be described in detail from two aspects of the first wearable rescue device and the network device. Those skilled in the art should understand that these specific implementations do not limit this application in any way. Other existing or possible future specific implementations that can be applied to this application are also included in the scope of protection of this application and are The way of reference is included here.

According to one aspect of the present application, a method for generating rescue instructions on the end of a wearable rescue device is provided. Referring to FIG. 2, the method includes step S101, step S102, and step S103. In step S101, the wearable rescue device takes a scene image of the rescue scene through the camera device installed in the wearable rescue device. In step S102, the wearable rescue device determines the rescue data information of the rescued object at the rescue scene based on the scene image. In step S103, the wearable rescue device obtains the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provides the rescue instruction to the corresponding on-site rescue user.

Specifically, in step S101, the wearable rescue device takes a live image of the rescue scene through the camera device installed in the wearable rescue device. Wherein, the camera device can be a camera module built into the wearable rescue equipment, or a camera peripheral installed on the wearable rescue equipment; in fact, those skilled in the art should understand that any existing or If camera devices that may appear in the future can be applied to this application, they are also included in the protection scope of this application and are included here by reference. In the relevant description of this application, the imaging device is used to collect image information, and generally includes a photosensitive element for converting optical signals into electrical signals, and may also include light refraction/reflection components for adjusting the propagation path of incident light. (E.g. lens or lens assembly). In some embodiments, the camera device adjusts the angle of view with the movement of the rescuer, and takes a scene of the scene. The scene of the scene may include the scene of the rescuer, for example, the face, hand card, number plate or barcode on clothing of the relevant person. / QR code, etc., to identify the identity of the corresponding person, or identify the situation on the spot.

In step S102, the wearable rescue device determines the rescue data information of the rescued object at the rescue scene based on the scene image. For example, the wearable rescue device performs image recognition on the scene image, determines the relevant information in the scene image (such as the identity information of one or more related persons), and determines the rescue data information of the rescued object based on the relevant information determined by the recognition . In some embodiments, the rescue data information includes, but is not limited to, the rescued object's medical data information (such as medical history, recent medical advice, etc.), and the rescue precaution information of the rescued object (such as whether Installed with a pacemaker, whether there are limbs and hands that are inconvenient to perform certain rescue methods, etc.), the allergy information of the rescued object, etc., are used to provide safe and rapid rescue for the rescued object.

In step S103, the wearable rescue device obtains the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provides the rescue instruction to the corresponding on-site rescue user. The above-mentioned rescue instruction is generated based on the above-mentioned rescue data information. For example, when the above-mentioned rescue data information includes allergy information, the above-mentioned rescue instruction includes an instruction to avoid the use of a certain drug, or includes an instruction to use alternative medicines or alternative rescue methods for rescue. .

In some embodiments, in order to obtain more accurate rescue data information, the rescue data information is determined based on the identity information of the rescued object. Correspondingly, the aforementioned step S102 includes sub-step S1021 and sub-step S1022 (none of them are shown). In sub-step S1021, the wearable rescue device performs image recognition on the scene image to determine the identity information of the rescued object at the rescue scene, for example, the wearable rescue device recognizes locally or transmits the scene image to the cloud For recognition by the cloud to obtain the corresponding identity information of the rescued object, including but not limited to face recognition, iris recognition, hand cards (for example, worn on the athlete’s wrist, recorded in the form of text, barcode, etc.) Athlete related information) image recognition, etc. In sub-step S1022, the wearable rescue device determines the rescue data information of the rescued object based on the identity information, for example, requests the rescue data information from a related network server based on the above identity information, where in some embodiments, the The network server is provided by the medical institution, so that it can provide the rescuer with accurate rescue data.

On this basis, in some embodiments, in order to more accurately identify the rescued person and improve rescue efficiency, in step S1021, the wearable rescue device determines the event information corresponding to the live image based on the live image, And based on the scene image information and the recognition result of the image recognition of the scene image, the identity information of the rescued object at the rescue scene is determined. Wherein, the event information includes, but is not limited to, the time, location, and number of matches the rescued object participated in, which is used to narrow the search range, thereby improving the processing efficiency of the system.

In some embodiments, the above method further includes step S104 (not shown). In step S104, the wearable rescue device determines the language information of the rescued object according to the identity information, and provides auxiliary rescue information to the rescued object based on the language information. Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, translation operations include but are not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language to facilitate communication with rescuers. In some cases, the translation process can be completed by the cloud server synchronously; for inquiries or comfort, the relevant materials can be stored locally in the wearable rescue device or the wearable rescue device can immediately request the cloud server.

Of course, those skilled in the art should understand that the manner of determining the language information of the rescued person based on the identity information of the rescued person described above is only an example, and is not a limitation to the specific implementation of the application. In some cases, for example, when the identity information of the rescued cannot be accurately determined, in order to promote communication between the rescued and the rescued to improve rescue efficiency, it is still possible to consider determining the language information of the rescued object based on The language information provides auxiliary rescue information to the rescued object. Correspondingly, in some embodiments, the above method further includes step S105 (not shown). In this step S105, the wearable rescue device determines at least any one of the following based on the scene image:

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

On this basis, the wearable rescue device determines the language information of the rescued object based on one of the above-mentioned country information, location information, and ethnic information (or a combination of several of them), and then gives directions based on the language information. The rescued object provides auxiliary rescue information.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, the above method further includes step S106 (not shown). In step S106, the wearable rescue device obtains the voice information of the rescued object, determines the language information of the rescued object based on the voice information, and provides auxiliary rescue to the rescued object based on the language information information.

Among them, in each embodiment, if the language information of the rescued object has been successfully identified, the rescued object can be provided with a preset voice prompt based on the language mastered by the rescued object to reduce the burden of the rescuer. For example, in some embodiments, in step S104, the wearable rescue device provides the rescued object with voice information corresponding to the preset phrase selected by the corresponding on-site rescue user based on the language information. The selection operations of the on-site rescue user can be performed based on hardware buttons or knobs, touch pads, touch screens, voice control, etc., and those skilled in the art should understand that these selection operations are only examples and not a limitation of the application. If other existing or possible future operation methods can be applied to this application, they are also included in the protection scope of this application and are included here by reference.

In addition, in each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person, so as to promote the communication between the rescuer and the rescued person and improve the rescue efficiency. And rescue success rate. Correspondingly, in some embodiments, the above method further includes step S107 (not shown). In step S107, the wearable rescue device performs real-time language conversion on the rescued object based on the language information, and provides the converted voice information to the corresponding on-site rescue user.

In some embodiments, a rescue operation may require the participation of multiple parties. For example, in an emergency, requiring the use of an Automated External Defibrillator (AED) and cardiopulmonary resuscitation, it is difficult for a single person to complete high-quality cardiopulmonary resuscitation. Recovery, so in order to improve the rescue success rate, other rescuers need to be notified to participate in this rescue operation. Correspondingly, the above method further includes step S108 (not shown). In step S108, the wearable rescue device sends a cooperation request to at least one other wearable rescue device, where the cooperation request includes a cooperation instruction corresponding to the at least one other wearable rescue device, and the cooperation instruction is used for The corresponding rescue user refers to perform the corresponding operation to coordinate rescue.

Among them, in some embodiments, in step S108, the wearable rescue device determines a corresponding coordinated rescue operation sequence, and sends a cooperation request to at least one other wearable rescue device based on the coordinated rescue operation sequence, thereby completing the request to at least One other wearable rescue device sends a request for collaboration. The rescue instruction is determined based on the coordinated rescue operation sequence. For example, the system distributes a corresponding rescue instruction or cooperation instruction to each rescuer according to the coordinated rescue operation sequence. For example, the aforementioned collaborative rescue operation sequence includes several operation steps that different users need to perform, which can be manually generated by the user of the wearable rescue device, or automatically generated by the wearable rescue device based on preset content, or the wearable rescue device Obtained by the corresponding web server request.

In some embodiments, certain operations, such as the operation of determining the rescue data information of the rescued object based on the scene image, are performed by the corresponding network device to expand the computing power of the wearable rescue device and facilitate the background command center Follow up the dispatch in time, and facilitate other rescue users to participate in rescue and interact. Correspondingly, the above step S102 further includes sub-step S1023 and sub-step S1024 (neither are shown). In sub-step S1023, the wearable rescue device sends the scene image to the corresponding network device; in sub-step S1024, the wearable rescue device receives the rescued object sent by the network device based on the scene image Rescue data information. Wherein, the process of obtaining rescue material information is completed by the network device and is similar to the process of obtaining the rescue data completed by the wearable rescue device described in the above embodiment.

In some embodiments, the above method further includes step S109 (not shown). In step S109, the wearable rescue device receives the auxiliary rescue information sent by the network device, and provides the auxiliary rescue information to the rescued object. For example, the network device determines the language information of the rescued object based on the identity information, and sends auxiliary rescue information to the wearable rescue device based on the language information, and the auxiliary rescue information is provided by the wearable rescue device to the rescued object . Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, the translation operation includes but is not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language, so that he can communicate with the rescuer.

Of course, those skilled in the art should understand that the manner of determining the language information of the rescued person based on the identity information of the rescued person described above is only an example, and is not a limitation to the specific implementation of the application. In some cases, for example, when the identity information of the rescued cannot be accurately determined, in order to promote communication between the rescued and the rescued to improve rescue efficiency, it is still possible to consider determining the language information of the rescued object based on The language information provides auxiliary rescue information to the rescued object. For example, the network device first determines at least any one of the following based on the live image:

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

On this basis, the network device determines the language information of the rescued object based on one of the above-mentioned country information, location information, and ethnic information (or a combination of several of them), and then sends the information to the rescued object based on the language information. The rescued object provides auxiliary rescue information.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, in step S109, the wearable rescue device acquires and sends the voice information of the rescued object to the network device, receives the auxiliary rescue information sent by the network device based on the voice information, and sends it to the The rescued object provides the auxiliary rescue information.

In each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person to promote the communication between the rescuer and the rescued person, and improve rescue efficiency and rescue. Success rate. Correspondingly, in some embodiments, the above method further includes step S110 (not shown). In step S110, the wearable rescue device collects and transmits the real-time voice information of the rescued object to the network device, receives the converted voice information sent by the network device based on the real-time voice information, and sends it to the scene The rescue user provides the converted voice information.

Further, in order to provide as accurate rescue instructions as possible and as rich as possible related information as possible, the rescue instructions provided to rescue users may be generated by network devices. Correspondingly, in some embodiments, in step S103, the wearable rescue device receives the rescue instruction sent by the network device for on-site rescue of the rescued object, and provides the corresponding on-site rescue user. The rescue instruction, wherein the rescue instruction corresponds to the rescue data information.

According to another aspect of the present application, a method for generating rescue instructions on a network device side is provided. For example, in some embodiments, certain operations, such as the operation of determining the rescue data information of the rescued object based on the scene image, are performed by the corresponding network device to expand the computing power of the wearable rescue device and facilitate the background The command center follows up the dispatch in time, and it is convenient for other rescue users to participate in rescue and interact. Referring to FIG. 3, the method includes step S201, step S202, and step S203. In step S201, the network device receives the scene image of the rescue scene sent by the corresponding wearable rescue device. In step S202, the network device determines the rescue data information of the rescued object at the rescue scene based on the scene image. In step S203, the network device sends the rescue data information to the wearable rescue device. Wherein, the process of obtaining rescue material information is completed by the network device and is similar to the process of obtaining the rescue data completed by the wearable rescue device described in the above embodiment.

In some embodiments, the above method further includes step S204 (not shown). In step S204, the network device determines the language information of the rescue object, and sends corresponding auxiliary rescue information to the wearable rescue device based on the language information. For example, the network device determines the language information of the rescued object based on the identity information, and sends auxiliary rescue information to the wearable rescue device based on the language information, and the auxiliary rescue information is provided by the wearable rescue device to the rescued object . Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, the translation operation includes but is not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language, so that he can communicate with the rescuer.

Of course, those skilled in the art should understand that the method of determining the language information of the rescued person based on the identity information of the rescued person described above is only an example, and is not a limitation to the specific implementation of the application. In some cases, for example, when the identity information of the rescued cannot be accurately determined, in order to promote communication between the rescued and the rescued to improve rescue efficiency, it is still possible to consider determining the language information of the rescued object based on The language information provides auxiliary rescue information to the rescued object. For example, the network device first determines at least any one of the following based on the live image:

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, in some embodiments, in step S204, the network device receives the voice information of the rescued object sent by the wearable rescue device, and determines the language information of the rescue object based on the voice information.

In addition, in each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person, so as to promote the communication between the rescuer and the rescued person and improve the rescue efficiency. And rescue success rate. Correspondingly, in some embodiments, the above method further includes step S205. In step S205, the network device receives the real-time voice information of the rescued object sent by the wearable rescue device, and sends the converted voice information to the wearable rescue device based on the real-time voice information.

In some embodiments, the rescue instruction for the rescued object is not generated locally on the device used by the rescue user on the spot, but generated by the network device, which is conducive to the system or the command user to schedule multiple rescue users on the rescue site . Correspondingly, in some embodiments, the above method further includes step S206. In step S206, the network device determines a rescue instruction for on-site rescue of the rescued object based on the rescue data information, and sends the rescue instruction to the wearable rescue device.

On this basis, a rescue operation may require the participation of multiple parties. For example, in an emergency, requiring the use of an Automated External Defibrillator (AED) and performing cardiopulmonary resuscitation, it is difficult for a single person to complete high-quality cardiopulmonary resuscitation. Therefore, in order to improve the rescue success rate, other rescuers need to be notified to participate in this rescue operation. Correspondingly, in the above step S206, the network device performs the following operations:

1) Determine the corresponding coordinated rescue operation sequence based on the rescue data information;

2) According to the coordinated rescue operation sequence, a rescue instruction for on-site rescue of the rescued object is determined, and a cooperation request corresponding to at least one other wearable rescue device, wherein the cooperation request includes the at least one Collaboration instructions corresponding to other wearable rescue equipment;

3) Send the rescue instruction to the wearable rescue device, and send the cooperation request to the at least one other wearable rescue device.

The rescue instruction is determined based on the coordinated rescue operation sequence. For example, the system distributes a corresponding rescue instruction or cooperation instruction to each rescuer according to the coordinated rescue operation sequence. For example, the aforementioned cooperative rescue operation sequence includes several operation steps that different users need to perform.

According to another aspect of the present application, a wearable rescue device 100 for generating rescue instructions is also provided. Referring to FIG. 4, the device includes an image capturing module 101, a rescue data determining module 102, and a rescue instruction providing module 103. The image capturing module 101 captures live images of the rescue scene through a camera device installed in the wearable rescue equipment. The rescue data determining module 102 determines the rescue data information of the rescued object at the rescue site based on the scene image. The rescue instruction providing module 103 obtains the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provides the rescue instruction to the corresponding on-site rescue user.

Specifically, the image capturing module 101 captures live images of the rescue scene through a camera device installed in the wearable rescue equipment. Wherein, the camera device can be a camera module built into the wearable rescue equipment, or a camera peripheral installed on the wearable rescue equipment; in fact, those skilled in the art should understand that any existing or If camera devices that may appear in the future can be applied to this application, they are also included in the protection scope of this application and are included here by reference. In the relevant description of this application, the imaging device is used to collect image information, and generally includes a photosensitive element for converting optical signals into electrical signals, and may also include light refraction/reflection components for adjusting the propagation path of incident light. (E.g. lens or lens assembly). In some embodiments, the camera device adjusts the angle of view with the movement of the rescuer, and takes a scene of the scene. The scene of the scene may include the scene of the rescuer, for example, the face, hand card, number plate or barcode on clothing of the relevant person. / QR code, etc., to identify the identity of the corresponding person, or identify the situation on the spot.

The rescue data determining module 102 determines the rescue data information of the rescued object at the rescue site based on the scene image. For example, the wearable rescue device performs image recognition on the scene image, determines the relevant information in the scene image (such as the identity information of one or more related persons), and determines the rescue data information of the rescued object based on the relevant information determined by the recognition . In some embodiments, the rescue data information includes, but is not limited to, the rescued object's medical data information (such as medical history, recent medical advice, etc.), and the rescue precaution information of the rescued object (such as whether Installed with a pacemaker, whether there are limbs and hands that are inconvenient to perform certain rescue methods, etc.), the allergy information of the rescued object, etc., are used to provide safe and rapid rescue for the rescued object.

The rescue instruction providing module 103 obtains the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provides the rescue instruction to the corresponding on-site rescue user. The above-mentioned rescue instruction is generated based on the above-mentioned rescue data information. For example, when the above-mentioned rescue data information includes allergy information, the above-mentioned rescue instruction includes an instruction to avoid the use of a certain drug, or includes an instruction to use alternative medicines or alternative rescue methods for rescue. .

In some embodiments, in order to obtain more accurate rescue data information, the rescue data information is determined based on the identity information of the rescued object. Correspondingly, the aforementioned rescue data determining module 102 includes an identity information determining unit 1021 and a rescue data determining unit 1022 (none of them are shown). The identity information determining unit 1021 performs image recognition on the on-site image to determine the identity information of the rescued object at the rescue site, for example, a wearable rescue device recognizes locally, or transmits the on-site image to the cloud for recognition by the cloud , So as to obtain the corresponding identity information of the rescued object, including but not limited to face recognition, iris recognition, hand cards (for example, worn on the athlete's wrist, and record the athlete's related information in the form of text, bar code, etc.) Image recognition, etc. The rescue data determining unit 1022 determines the rescue data information of the rescued object based on the identity information, such as requesting the rescue data information from a relevant web server based on the above identity information. In some embodiments, the web server is managed by a medical institution. Provide, so as to be able to provide rescuers with accurate rescue information.

On this basis, in some embodiments, in order to more accurately identify the rescued person and improve rescue efficiency, the identity information determining unit 1021 determines the event information corresponding to the live image based on the live image, and based on the The scene image information and the recognition result of the image recognition on the scene image determine the identity information of the rescued object at the rescue scene. Wherein, the event information includes, but is not limited to, the time, location, and number of matches the rescued object participated in, which is used to narrow the search range, thereby improving the processing efficiency of the system.

In some embodiments, the aforementioned device further includes a first auxiliary rescue information providing module 104 (not shown). The first auxiliary rescue information providing module 104 determines the language information of the rescued object according to the identity information, and provides auxiliary rescue information to the rescued object based on the language information. Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, translation operations include but are not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language to facilitate communication with rescuers. In some cases, the translation process can be completed by the cloud server synchronously; for inquiries or comfort, the relevant materials can be stored locally in the wearable rescue device or the wearable rescue device can immediately request the cloud server.

Of course, those skilled in the art should understand that the manner of determining the language information of the rescued person based on the identity information of the rescued person described above is only an example, and is not a limitation to the specific implementation of the application. In some cases, for example, when the identity information of the rescued cannot be accurately determined, in order to promote communication between the rescued and the rescued to improve rescue efficiency, it is still possible to consider determining the language information of the rescued object based on The language information provides auxiliary rescue information to the rescued object. Correspondingly, in some embodiments, the above-mentioned equipment further includes a second auxiliary rescue information providing module 105 (not shown). The second auxiliary rescue information providing module 105 determines at least any one of the following based on the scene image:

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, the above-mentioned equipment further includes a third auxiliary rescue information providing module 106 (not shown). The third auxiliary rescue information providing module 106 obtains the voice information of the rescued object, determines the language information of the rescued object based on the voice information, and then provides auxiliary rescue information to the rescued object based on the language information .

Among them, in each embodiment, if the language information of the rescued object has been successfully identified, the rescued object can be provided with a preset voice prompt based on the language mastered by the rescued object to reduce the burden of the rescuer. For example, in some embodiments, the first auxiliary rescue information providing module 104 provides the rescued object with voice information corresponding to a preset phrase selected by the corresponding on-site rescue user based on the language information. The selection operations of the on-site rescue user can be performed based on hardware buttons or knobs, touch pads, touch screens, voice control, etc., and those skilled in the art should understand that these selection operations are only examples and not a limitation of the application. If other existing or possible future operation methods can be applied to this application, they are also included in the protection scope of this application and are included here by reference.

In addition, in each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person, so as to promote the communication between the rescuer and the rescued person and improve the rescue efficiency. And rescue success rate. Correspondingly, in some embodiments, the aforementioned device further includes a real-time language conversion module 107 (not shown). The real-time language conversion module 107 performs real-time language conversion on the rescued object based on the language information, and provides the converted voice information to the corresponding on-site rescue user.

In some embodiments, a rescue operation may require the participation of multiple parties. For example, in an emergency, requiring the use of an Automated External Defibrillator (AED) and cardiopulmonary resuscitation, it is difficult for a single person to complete high-quality cardiopulmonary resuscitation. Recovery, so in order to improve the rescue success rate, other rescuers need to be notified to participate in this rescue operation. Correspondingly, the above-mentioned device further includes a cooperation request sending module 108 (not shown). The cooperation request sending module 108 sends a cooperation request to at least one other wearable rescue device, where the cooperation request includes a cooperation instruction corresponding to the at least one other wearable rescue device, and the cooperation instruction is used for the corresponding rescue user Refer to perform corresponding operations to coordinate rescue.

Among them, in some embodiments, the cooperation request sending module 108 determines the corresponding coordinated rescue operation sequence, and sends the cooperation request to at least one other wearable rescue device based on the coordinated rescue operation sequence, thereby completing the request to at least one other wearable rescue device. Wear a rescue device to send a request for collaboration. The rescue instruction is determined based on the coordinated rescue operation sequence. For example, the system distributes a corresponding rescue instruction or cooperation instruction to each rescuer according to the coordinated rescue operation sequence. For example, the aforementioned collaborative rescue operation sequence includes several operation steps that different users need to perform, which can be manually generated by the user of the wearable rescue device, or automatically generated by the wearable rescue device based on preset content, or the wearable rescue device Obtained by the corresponding web server request.

In some embodiments, certain operations, such as the operation of determining the rescue data information of the rescued object based on the scene image, are performed by the corresponding network device to expand the computing power of the wearable rescue device and facilitate the background command center Follow up the dispatch in time, and facilitate other rescue users to participate in rescue and interact. Correspondingly, the above-mentioned rescue data determining module 102 further includes an on-site image sending unit 1023 and a rescue data receiving unit 1024 (neither shown). The scene image sending unit 1023 sends the scene image to the corresponding network device; the rescue data receiving unit 1024 receives the rescue data information of the rescued object sent by the network device based on the scene image. Wherein, the process of obtaining rescue material information is completed by the network device and is similar to the process of obtaining the rescue data completed by the wearable rescue device described in the above embodiment.

In some embodiments, the above-mentioned equipment further includes an auxiliary rescue information providing module 109 (not shown). The auxiliary rescue information providing module 109 receives the auxiliary rescue information sent by the network device, and provides the auxiliary rescue information to the rescued object. For example, the network device determines the language information of the rescued object based on the identity information, and sends auxiliary rescue information to the wearable rescue device based on the language information, and the auxiliary rescue information is provided by the wearable rescue device to the rescued object . Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, translation operations include but are not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language to facilitate communication with rescuers.

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, the auxiliary rescue information providing module 109 acquires and sends the voice information of the rescued object to the network device, receives the auxiliary rescue information sent by the network device based on the voice information, and sends it to the rescued object Provide the auxiliary rescue information.

In each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person to promote the communication between the rescuer and the rescued person, and improve rescue efficiency and rescue. Success rate. Correspondingly, in some embodiments, the aforementioned device further includes a voice information providing module 110 (not shown). The voice information providing module 110 collects and sends the real-time voice information of the rescued object to the network device, receives the converted voice information sent by the network device based on the real-time voice information, and provides all on-site rescue users Describe the converted voice information.

Further, in order to provide as accurate rescue instructions as possible and as rich as possible related information as possible, the rescue instructions provided to rescue users may be generated by network devices. Correspondingly, in some embodiments, the rescue instruction providing module 103 receives the rescue instruction sent by the network device for on-site rescue of the rescued object, and provides the rescue instruction to the corresponding on-site rescue user, The rescue instruction corresponds to the rescue data information.

According to another aspect of the present application, a network device 200 for generating rescue instructions is provided. For example, in some embodiments, certain operations, such as the operation of determining the rescue data information of the rescued object based on the scene image, are performed by the corresponding network device to expand the computing power of the wearable rescue device and facilitate the background The command center follows up the dispatch in time, and it is convenient for other rescue users to participate in rescue and interact. Referring to FIG. 5, the network device 200 includes an on-site image receiving module 201, a rescue data determining module 202, and a rescue data sending module 203. The scene image receiving module 201 receives the scene image of the rescue scene sent by the corresponding wearable rescue device. The rescue data determining module 202 determines the rescue data information of the rescued object at the rescue site based on the scene image. The rescue data sending module 203 sends the rescue data information to the wearable rescue device. Wherein, the process of obtaining rescue material information is completed by the network device and is similar to the process of obtaining the rescue data completed by the wearable rescue device described in the above embodiment.

In some embodiments, the above-mentioned equipment further includes an auxiliary rescue information sending module 204 (not shown). The auxiliary rescue information sending module 204 determines the language information of the rescue object, and sends corresponding auxiliary rescue information to the wearable rescue device based on the language information. For example, the network device determines the language information of the rescued object based on the identity information, and sends auxiliary rescue information to the wearable rescue device based on the language information, and the auxiliary rescue information is provided by the wearable rescue device to the rescued object . Wherein, the language information is used to characterize the language spoken by the rescued person; the auxiliary rescue information includes, but is not limited to, one-way or two-way translation (translated content is provided to the rescued person), inquiry or comfort, etc., in words , Image, sound and other forms. Among them, for one-way/two-way translation, the translation operation includes but is not limited to text-based and voice-based translation. For example, the translation operation is used to provide corresponding assistance to the rescued person who masters a specific language to facilitate communication with rescuers.

-Country information of the rescued object;

-The area information of the rescued object;

-Race information of the rescued object.

Of course, in some embodiments, when the rescued object is still able to talk, in order to improve the recognition accuracy of the language information of the rescued object, the language of the rescued object can also be combined with the content spoken by the rescued object. (Language information). Correspondingly, in some embodiments, the auxiliary rescue information sending module 204 receives the voice information of the rescued object sent by the wearable rescue device, and determines the language information of the rescued object based on the voice information.

In addition, in each embodiment, if the language information of the rescued object has been successfully identified, real-time voice translation can also be performed between the rescuer and the rescued person, so as to promote the communication between the rescuer and the rescued person and improve the rescue efficiency. And rescue success rate. Correspondingly, in some embodiments, the aforementioned device further includes a voice conversion and sending module 205. The voice conversion and sending module 205 receives the real-time voice information of the rescued object sent by the wearable rescue device, and sends the converted voice information to the wearable rescue device based on the real-time voice information.

In some embodiments, the rescue instruction for the rescued object is not generated locally on the device used by the rescue user on the spot, but generated by the network device, which is conducive to the system or the command user to schedule multiple rescue users on the rescue site . Correspondingly, in some embodiments, the aforementioned device further includes a rescue instruction sending module 206. The rescue instruction sending module 206 determines a rescue instruction for on-site rescue of the rescued object based on the rescue data information, and sends the rescue instruction to the wearable rescue device.

The present application also provides a computer-readable storage medium that stores computer code, and when the computer code is executed, the method described in any of the preceding items is executed.

The present application also provides a computer program product. When the computer program product is executed by a computer device, the method described in any of the preceding items is executed.

This application also provides a computer device, which includes:

One or more processors;

Memory, used to store one or more computer programs;

When the one or more computer programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any one of the preceding items.

Figure 6 shows an exemplary system that can be used to implement the various embodiments described in this application.

As shown in FIG. 6, in some embodiments, the system 1000 can be used as any wearable rescue device or network device in each of the described embodiments. In some embodiments, the system 1000 may include one or more computer-readable media with instructions (for example, system memory or NVM/storage device 1020) and be coupled with the one or more computer-readable media and configured to execute The instructions are one or more processors (for example, the processor(s) 1005) that implement modules to perform the actions described in this application.

For one embodiment, the system control module 1010 may include any suitable interface controller to provide at least one of the processor(s) 1005 and/or any suitable device or component in communication with the system control module 1010 Any appropriate interface.

The system control module 1010 may include a memory controller module 1030 to provide an interface to the system memory 1015. The memory controller module 1030 may be a hardware module, a software module, and/or a firmware module.

The system memory 1015 may be used to load and store data and/or instructions for the system 1000, for example. For one embodiment, the system memory 1015 may include any suitable volatile memory, such as a suitable DRAM. In some embodiments, the system memory 1015 may include a double data rate type quad synchronous dynamic random access memory (DDR4 SDRAM).

For one embodiment, the system control module 1010 may include one or more input/output (I/O) controllers to provide interfaces to the NVM/storage device 1020 and the communication interface(s) 1025.

For example, NVM/storage device 1020 may be used to store data and/or instructions. NVM/storage device 1020 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more hard drives ( Hard Disk, HDD), one or more compact disc (CD) drives and/or one or more digital versatile disc (DVD) drives).

The NVM/storage device 1020 may include storage resources that are physically part of the device on which the system 1000 is installed, or it may be accessed by the device without necessarily being part of the device. For example, the NVM/storage device 1020 may be accessed via the communication interface(s) 1025 through the network.

The communication interface(s) 1025 may provide an interface for the system 1000 to communicate through one or more networks and/or with any other suitable devices. The system 1000 can wirelessly communicate with one or more components of the wireless network according to any of one or more wireless network standards and/or protocols.

For one embodiment, at least one of the processor(s) 1005 may be packaged with the logic of one or more controllers of the system control module 1010 (eg, the memory controller module 1030). For one embodiment, at least one of the processor(s) 1005 may be packaged with the logic of one or more controllers of the system control module 1010 to form a system in package (SiP). For one embodiment, at least one of the processor(s) 1005 may be integrated with the logic of one or more controllers of the system control module 1010 on the same mold. For one embodiment, at least one of the processor(s) 1005 may be integrated with the logic of one or more controllers of the system control module 1010 on the same mold to form a system on chip (SoC).

In various embodiments, the system 1000 may be, but is not limited to, a server, a workstation, a desktop computing device, or a mobile computing device (for example, a laptop computing device, a handheld computing device, a tablet computer, a netbook, etc.). In various embodiments, the system 1000 may have more or fewer components and/or different architectures. For example, in some embodiments, the system 1000 includes one or more cameras, keyboards, liquid crystal display (LCD) screens (including touchscreen displays), non-volatile memory ports, multiple antennas, graphics chips, application specific integrated circuits ( ASIC) and speakers.

It should be noted that this application can be implemented in software and/or a combination of software and hardware, for example, it can be implemented by an application specific integrated circuit (ASIC), a general purpose computer or any other similar hardware device. In an embodiment, the software program of the present application may be executed by a processor to realize the steps or functions described above. Similarly, the software program (including related data structure) of the present application can be stored in a computer-readable recording medium, such as RAM memory, magnetic or optical drive or floppy disk and similar devices. In addition, some steps or functions of the present application may be implemented by hardware, for example, as a circuit that cooperates with a processor to execute each step or function.

In addition, a part of this application can be applied as a computer program product, such as computer program instructions, when executed by a computer, through the operation of the computer, the method and/or technical solution according to the application can be invoked or provided. Those skilled in the art should understand that the computer program instructions in the computer-readable medium include but are not limited to source files, executable files, installation package files, etc. Correspondingly, the manner in which computer program instructions are executed by the computer includes but not Limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction before executing the corresponding post-installation program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by a computer.

Communication media includes media by which communication signals containing, for example, computer-readable instructions, data structures, program modules, or other data are transmitted from one system to another system. Communication media can include conductive transmission media (such as cables and wires (for example, optical fiber, coaxial, etc.)) and wireless (unguided transmission) media that can propagate energy waves, such as sound, electromagnetic, RF, microwave, and infrared . Computer readable instructions, data structures, program modules or other data may be embodied as, for example, a modulated data signal in a wireless medium such as a carrier wave or similar mechanism such as embodied as part of spread spectrum technology. The term "modulated data signal" refers to a signal whose one or more characteristics have been altered or set in such a way as to encode information in the signal. Modulation can be analog, digital or hybrid modulation techniques.

As an example and not limitation, a computer-readable storage medium may include volatile, non-volatile, nonvolatile, and nonvolatile, and may be implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules or other data Removable and non-removable media. For example, computer-readable storage media include, but are not limited to, volatile memory, such as random access memory (RAM, DRAM, SRAM); and non-volatile memory, such as flash memory, various read-only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memory (MRAM, FeRAM); and magnetic and optical storage devices (hard disks, tapes, CDs, DVDs); or other currently known media or future developments that can be stored for computer systems Computer readable information/data used.

Here, an embodiment according to the present application includes a device including a memory for storing computer program instructions and a processor for executing the program instructions, wherein, when the computer program instructions are executed by the processor, trigger The operation of the device is based on the aforementioned methods and/or technical solutions according to multiple embodiments of the present application.

For those skilled in the art, it is obvious that the present application is not limited to the details of the foregoing exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic characteristics of the application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of this application is defined by the appended claims rather than the above description, and therefore it is intended to fall into the claims. All changes in the meaning and scope of the equivalent elements of are included in this application. Any reference signs in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claims can also be implemented by one unit or device through software or hardware. Words such as first and second are used to denote names, but do not denote any specific order.

Claims

A method for generating rescue instructions at the end of a wearable rescue device, wherein the method includes:

Taking a scene image of the rescue scene through a camera device installed in the wearable rescue equipment;

Determining the rescue data information of the rescued object at the rescue scene based on the scene image;

Obtain the rescue instruction corresponding to the rescue data information for performing on-site rescue of the rescued object, and provide the rescue instruction to the corresponding on-site rescue user.
The method according to claim 1, wherein the determining the rescue data information of the rescued object at the rescue scene based on the scene image comprises:

Performing image recognition on the scene image to determine the identity information of the rescued object at the rescue scene;

The rescue data information of the rescued object is determined based on the identity information.
The method according to claim 2, wherein the performing image recognition on the scene image to determine the identity information of the rescued object at the rescue scene comprises:

The event information corresponding to the live image is determined based on the live image, and the identity information of the rescued object at the rescue scene is determined based on the live image information and the recognition result of the image recognition of the live image.
The method according to claim 2, wherein the method further comprises:

The language information of the rescued object is determined according to the identity information, and auxiliary rescue information is provided to the rescued object based on the language information.
The method according to claim 1, wherein the method further comprises at least any one of the following:

Determine the country information of the rescued object based on the scene image, determine the language information of the rescued object based on the country information, and provide auxiliary rescue information to the rescued object based on the language information;

Determine the area information of the rescued object based on the scene image, determine the language information of the rescued object based on the area information, and provide auxiliary rescue information to the rescued object based on the language information;

The race information of the rescued object is determined based on the scene image, the language information of the rescued object is determined based on the race information, and auxiliary rescue information is provided to the rescued object based on the language information.
The method according to claim 1, wherein the method further comprises:

Acquire voice information of the rescued object, determine the language information of the rescued object based on the voice information, and provide auxiliary rescue information to the rescued object based on the language information.
The method according to any one of claims 4 to 6, wherein the providing auxiliary rescue information to the rescued object based on the language information comprises:

Based on the language information, the rescued object is provided with voice information corresponding to the preset phrase selected by the corresponding on-site rescue user.
The method according to any one of claims 4 to 6, wherein the method further comprises:

Perform real-time language conversion on the rescued object based on the language information, and provide the converted voice information to the corresponding on-site rescue user.
The method according to claim 1, wherein the rescue data information includes at least any one of the following:

The medical data information of the rescued object;

The rescue precaution information of the rescued object;

Allergy information of the rescued object.
The method according to claim 1, wherein the method further comprises:

Sending a cooperation request to at least one other wearable rescue device, where the cooperation request includes a cooperation instruction corresponding to the at least one other wearable rescue device.
The method according to claim 10, wherein the sending a cooperation request to at least one other wearable rescue device comprises:

Determine a corresponding coordinated rescue operation sequence, and send a cooperation request to at least one other wearable rescue device based on the coordinated rescue operation sequence;

The rescue instruction is determined based on the coordinated rescue operation sequence.
The method according to claim 1, wherein the determining the rescue data information of the rescued object at the rescue scene based on the scene image comprises:

Sending the live image to the corresponding network device;

Receiving rescue data information of the rescued object sent by the network device based on the scene image.
The method according to claim 12, wherein the method further comprises:

Receiving auxiliary rescue information sent by the network device, and providing the auxiliary rescue information to the rescued object.
The method according to claim 13, wherein the receiving auxiliary rescue information sent by the network device and providing the auxiliary rescue information to the rescued object comprises:

Acquiring and sending the voice information of the rescued object to the network device;

Receiving auxiliary rescue information sent by the network device based on the voice information, and providing the auxiliary rescue information to the rescued object.
The method according to claim 12, wherein the method further comprises:

Collecting and sending real-time voice information of the rescued object to the network device;

Receiving the converted voice information sent by the network device based on the real-time voice information;

Provide the converted voice information to on-site rescue users.
The method according to claim 12, wherein said obtaining the rescue instruction corresponding to the rescue data information for the on-site rescue of the rescued object and providing the rescue instruction to the corresponding on-site rescue user comprises :

Receiving a rescue instruction sent by the network device for on-site rescue of the rescued object, and providing the rescue instruction to a corresponding on-site rescue user, wherein the rescue instruction corresponds to the rescue data information.
A method for generating rescue instructions on a network device side, wherein the method includes:

Receive the scene image of the rescue scene sent by the corresponding wearable rescue device;

Determining the rescue data information of the rescued object at the rescue scene based on the scene image;

Sending the rescue data information to the wearable rescue device.
The method of claim 17, wherein the method further comprises:

The language information of the rescue object is determined, and corresponding auxiliary rescue information is sent to the wearable rescue device based on the language information.
The method according to claim 18, wherein the determining the language information of the rescue object comprises:

Receive the voice information of the rescued object sent by the wearable rescue device, and determine the language information of the rescued object based on the voice information.
The method of claim 17, wherein the method further comprises:

Receiving real-time voice information of the rescued object sent by the wearable rescue device;

Based on the real-time voice information, the converted voice information is sent to the wearable rescue device.
The method of claim 17, wherein the method further comprises:

Determine a rescue instruction for on-site rescue of the rescued object based on the rescue data information, and send the rescue instruction to the wearable rescue device.
22. The method of claim 21, wherein the determining a rescue instruction for on-site rescue of the rescued object based on the rescue data information, and sending the rescue instruction to the wearable rescue device comprises :

Determine a corresponding coordinated rescue operation sequence based on the rescue data information;

According to the coordinated rescue operation sequence, a rescue instruction for on-site rescue of the rescued object is determined, and a cooperation request corresponding to at least one other wearable rescue device, wherein the cooperation request includes the at least one other Collaboration instructions corresponding to wearable rescue equipment;

Send the rescue instruction to the wearable rescue device, and send the cooperation request to the at least one other wearable rescue device.
A method for generating rescue instructions, wherein the method includes:

The wearable rescue device shoots live images of the rescue scene through the camera device installed in the wearable rescue equipment, and sends the live images to the corresponding network device;

The network device determines the rescue data information of the rescued object at the rescue site based on the scene image, and sends the rescue data information to the wearable rescue device;

The wearable rescue device receives rescue data information, obtains rescue instructions corresponding to the rescue data information for on-site rescue of the rescued object, and provides the rescue instructions to corresponding on-site rescue users.
A device for generating rescue instructions, wherein the device includes:

Processor; and

A memory arranged to store computer-executable instructions, which when executed, cause the processor to perform the operations of the method according to any one of claims 1 to 22.
A computer-readable medium storing instructions, which when executed, cause a system to perform the operation of the method according to any one of claims 1 to 22.