CN114496200B

CN114496200B - Rescue equipment scheduling method and device and computer readable storage medium

Info

Publication number: CN114496200B
Application number: CN202111654788.4A
Authority: CN
Inventors: 郑杰; 陈吴笋; 刘刚
Original assignee: Suzhou Weisi Medical Technology Co ltd
Current assignee: Suzhou Weisi Medical Technology Co ltd
Priority date: 2021-12-30
Filing date: 2021-12-30
Publication date: 2024-04-26
Anticipated expiration: 2041-12-30
Also published as: CN114496200A

Abstract

The application provides a rescue equipment scheduling method, a device and a computer readable storage medium, wherein the rescue equipment scheduling method comprises the following steps: when a rescue request is received, acquiring position information of a patient and a plurality of auxiliary service types required by a current rescue scene; searching for a plurality of unmanned aerial vehicle rescue devices within an effective rescue area associated with patient location information according to a plurality of auxiliary service types; respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue devices; and when receiving the arrival indication fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment. By implementing the scheme of the application, the unmanned aerial vehicle type rescue equipment is scheduled to rescue, so that the AED distribution time can be effectively reduced, a plurality of AEDs can provide more sufficient rescue guarantee for saturated rescue, and in addition, the unmanned aerial vehicle can execute rescue auxiliary service after delivering the AED, so that powerful support is provided for on-site rescue workers.

Description

Rescue equipment scheduling method and device and computer readable storage medium

Technical Field

The application relates to the technical field of medical rescue, in particular to a rescue equipment scheduling method and device and a computer readable storage medium.

Background

An automatic external defibrillator (AED, automated External Defibrillator) is a portable medical device that can diagnose a particular arrhythmia and deliver shock defibrillation, a medical device that can be used by non-professionals to rescue a sudden cardiac arrest patient. When the patient is in sudden cardiac arrest, the method for effectively stopping sudden death is the most effective method for defibrillation and cardiopulmonary resuscitation of the patient by using the AED only in the period of 'golden 4 minutes' of the optimal rescue time.

Currently, AEDs are usually fixedly deployed at airports, subway stations, schools, gyms and other places with large traffic, in an emergency rescue scene, a bystander finding a patient usually depends on finding a specific AED deployment site to take the AED for rescue, on one hand, the bystander cannot accurately grasp the position of the AED deployment site closest to the patient, and if the bystander reaches the AED deployment site far away from the patient, the round trip distance is possibly long, the patient can miss the optimal treatment opportunity; on the other hand, since a fixed AED relies on manual delivery, even if the AED deployment site is selected to be the closest site to the patient, delivery may be untimely due to ground traffic factors during delivery, causing the patient to miss the optimal treatment opportunity.

Disclosure of Invention

The embodiment of the application provides a rescue equipment scheduling method, a rescue equipment scheduling device and a computer readable storage medium, which at least can solve the problem that the optimal treatment time of a patient cannot be fully ensured because AED equipment cannot be quickly acquired when a fixed AED is adopted for emergency rescue in the related technology.

The first aspect of the embodiment of the application provides a rescue equipment scheduling method, which is applied to a background server and comprises the following steps:

When a rescue request is received, acquiring corresponding patient position information of a current patient to be rescued, and acquiring a plurality of auxiliary service types required by a current rescue scene; the auxiliary service types comprise lighting service, audio and video evidence obtaining service, audio and video interaction service and emergency alarm service;

Searching for a plurality of unmanned rescue devices which can provide corresponding auxiliary services in an effective rescue area associated with the patient position information according to a plurality of auxiliary service types; the unmanned aerial vehicle type rescue equipment comprises a unmanned aerial vehicle and an AED which are detachably connected, wherein the unmanned aerial vehicle is used for providing the auxiliary service, and the AED is used for providing medical service;

respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue devices;

And when receiving the arrival indication fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment.

A second aspect of the embodiment of the present application provides a rescue device scheduling apparatus, applied to a background server, including:

The acquisition module is used for acquiring corresponding patient position information of a current patient to be rescued and acquiring a plurality of auxiliary service types required by the current rescue scene when receiving a rescue request; the auxiliary service types comprise lighting service, audio and video evidence obtaining service, audio and video interaction service and emergency alarm service;

A search module for searching a plurality of unmanned rescue devices which can provide corresponding auxiliary services in an effective rescue area associated with the position information of the patient according to a plurality of auxiliary service types; the unmanned aerial vehicle type rescue equipment comprises a unmanned aerial vehicle and an AED which are detachably connected, wherein the unmanned aerial vehicle is used for providing the auxiliary service, and the AED is used for providing medical service;

The first sending module is used for respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue equipment;

The second sending module is used for sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment when receiving the arrival instruction fed back by the unmanned aerial vehicle type rescue equipment.

A third aspect of an embodiment of the present application provides an electronic device, including: the rescue equipment scheduling method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps in the rescue equipment scheduling method provided by the first aspect of the embodiment of the application are realized when the processor executes the computer program.

A fourth aspect of the embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, where the steps in the rescue equipment scheduling method provided in the first aspect of the embodiment of the present application are implemented when the computer program is executed by a processor.

As can be seen from the above, according to the rescue equipment scheduling method, the device and the computer readable storage medium provided by the scheme of the application, when a rescue request is received, corresponding patient position information of a current patient to be rescued is obtained, and a plurality of auxiliary service types required by the current rescue scene are obtained; searching for a plurality of unmanned rescue devices that can provide corresponding auxiliary services within an effective rescue area associated with patient location information according to a plurality of auxiliary service types; respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue devices; and when receiving the arrival indication fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment. Through implementation of the scheme of the application, the system schedules a plurality of unmanned aerial vehicle type rescue equipment for rescue, so that the AED distribution time can be reduced compared with manual carrying of a fixed AED for rescue, and a plurality of AEDs can provide more sufficient rescue guarantee for saturated rescue.

Drawings

Fig. 1 is a flow chart of a rescue equipment scheduling method according to a first embodiment of the present application;

fig. 2 is a schematic diagram of device searching according to a first embodiment of the present application;

FIG. 3 is a schematic diagram of a device distribution according to a first embodiment of the present application;

fig. 4 is a schematic program module diagram of a rescue equipment scheduling device according to a second embodiment of the present application;

Fig. 5 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.

Detailed Description

In order to make the objects, features and advantages of the present application more comprehensible, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In order to solve the problem that the related art only depends on a fixed AED to quickly acquire AED equipment when emergency rescue is performed, and thus the optimal treatment time of a patient cannot be ensured, a first embodiment of the present application provides a rescue equipment scheduling method, which is applied to a background server, and the background server may be an emergency center cloud server, as shown in fig. 1, which is a schematic flow chart of the rescue equipment scheduling method provided in the present embodiment, and the rescue equipment scheduling method includes the following steps:

Step 101, when a rescue request is received, acquiring corresponding patient position information of a current patient to be rescued, and acquiring a plurality of auxiliary service types required by the current rescue scene.

Specifically, in this embodiment, the auxiliary services refer to additional services required in the process of providing defibrillation services to the patient, and the auxiliary service types include: lighting services, audio-video evidence obtaining services, audio-video interaction services, and emergency alert services. The lighting service is to hover at a certain height after the unmanned aerial vehicle reaches the position of the patient, and turn on the lighting device so as to provide lighting for the rescue environment; the audio and video evidence obtaining service is to obtain evidence from the rescue process by carrying out audio collection through a microphone or video collection through a camera in the whole rescue process; the audio-video interaction service is to realize communication interaction between rescue workers and a background server through a camera and a microphone, collect audio-video information of a rescue scene, output rescue operation guidance sent by the background in an audio-video mode, and remotely prompt the non-professional rescue workers to operate the AED correctly; the emergency alarm service is to turn on an alarm lamp or output an alarm sound to prompt the emergency rescue event.

In some implementations of the present embodiment, the step of obtaining the patient position information corresponding to the current patient to be rescued when the rescue request is received includes: receiving a rescue request carrying patient position information sent by wearable electrocardiograph detection equipment based on communication connection with the wearable electrocardiograph detection equipment of a patient to be rescued currently; and acquiring corresponding patient position information of the current patient to be rescued from the rescue request.

Specifically, in practical application, the user wears wearable electrocardiograph detection equipment (such as an intelligent bracelet and an intelligent electrocardiograph vest) with cardiac arrest detection capability with the user, the wearable electrocardiograph detection equipment detects the user in real time, when detecting that the user is electrocardiographic abnormality, the user is perceived to have AED rescue requirements, and a rescue request is automatically sent to a background server, and user position information is reported through the rescue request, so that when the user is in a remote area with sparse people flow, the rescue requirements of the user can be timely reported even if no bystanders exist.

In addition, it should be noted that the rescue request may also be generated by discovering that a bystander of the patient performs communication interaction with the background server through the held terminal, specifically may be in a form of a short message or a voice call, and the corresponding patient position information may be obtained by performing intelligent text analysis on the short message content, may also be obtained by performing intelligent voice recognition on the voice content, or may be obtained by manually acquiring the patient position information after receiving the communication information of the bystander by a background server manager, and then manually inputting the patient position information into the system.

In some implementations of this embodiment, the step of obtaining the plurality of auxiliary service types required by the current rescue scene includes: acquiring a plurality of scene characteristic information corresponding to a current rescue scene; and correspondingly determining a plurality of auxiliary service types required by the current rescue scene by referring to the plurality of scene characteristic information.

Specifically, the scene feature information of the present embodiment includes: in practical application, scene characteristics can reflect service requirements under rescue scenes to a certain extent, for example, when weather is bad or rescue time is in the evening, light rays are darker, and lighting services are also needed when defibrillation services are provided; if the rescue personnel are not enough in the place with lower personnel flow, emergency alarm service is also necessary to be provided to warn more personnel to reach the rescue site of the patient so as to ensure more sufficient rescue support. Therefore, the auxiliary service type is adaptively determined according to the scene characteristics of the rescue scene, so that more perfect rescue support can be provided for the rescue scene, and sufficient guarantee is provided for smooth achievement of rescue.

Step 102, searching a plurality of unmanned rescue devices which can provide corresponding auxiliary services in an effective rescue area associated with the position information of the patient according to a plurality of auxiliary service types.

Specifically, the unmanned aerial vehicle formula rescue equipment of this embodiment includes unmanned aerial vehicle and the AED of detachable connection, and unmanned aerial vehicle formula rescue equipment deposits in the nest of the specific position in the city (for example building roof), and different nests have respective jurisdiction, and unmanned aerial vehicle is used for providing auxiliary service, and the AED is used for providing medical service. In practical applications, different AEDs are all recorded in advance in a background server, namely, an AED serial number, a nest serial number, an unmanned aerial vehicle serial number, position information, an emergency contact phone and the like are registered. It should be understood that the AED of the unmanned aerial vehicle rescue device is responsible for providing rescue services, the unmanned aerial vehicle is responsible for providing auxiliary services, and in practical applications, unmanned aerial vehicles of different unmanned aerial vehicle rescue devices may be configured to provide different single auxiliary functions, and may also have the ability to provide multiple types of auxiliary services, which is not limited only.

In addition, the effective rescue area of this embodiment may be a preset area centered on the patient's location, where all AEDs within the area can ensure the achievement of basic rescue tasks. In practical applications, the specific implementation manner of searching for the plurality of unmanned rescue devices capable of providing corresponding auxiliary services in the effective rescue area associated with the patient position information includes, but is not limited to, the following two types:

Firstly, determining a rescue service support level required by a current patient to be rescued based on electrocardiographic detection information; searching all available unmanned aerial vehicle rescue equipment capable of providing corresponding auxiliary services in an effective rescue area associated with the position information of the patient, and acquiring the AED function states of all available unmanned aerial vehicle rescue equipment; and determining the available unmanned aerial vehicle type rescue equipment with the AED functional state meeting the rescue service support level as unmanned aerial vehicle type rescue equipment.

Specifically, in the embodiment of reporting the rescue request through the wearable electrocardiograph detection device, the rescue request may further carry electrocardiograph detection information, the background server intelligently identifies the level of rescue service required to be provided for the patient based on the electrocardiograph detection information, and then the AED with the functional state for providing the level of rescue service is adapted in the effective rescue area. Therefore, the embodiment can ensure that the scheduled AED can provide the patient with the treatment conditions meeting the rescue requirements, so that the user can be effectively rescued.

Secondly, searching all available unmanned aerial vehicle type rescue equipment capable of providing corresponding auxiliary services in an effective rescue area with the position information of a patient as a center aiming at all auxiliary service types; calibrating a plurality of equipment searching directions by taking the center of the area as a starting point, wherein the adjacent equipment searching directions are separated by a preset angle; and searching unmanned aerial vehicle type rescue equipment corresponding to each auxiliary service type from all available unmanned aerial vehicle type rescue equipment by referring to the searching directions of the equipment respectively.

Specifically, in this embodiment, the patient position may be taken as a center, and then the unmanned aerial vehicle rescue devices are searched from a plurality of different directions, respectively, where the unmanned aerial vehicle rescue devices in the plurality of different directions have different delivery paths, so that a single path is prevented from being misdelivered due to interference of environmental factors. In the practical application, a first device position a with the shortest theoretical distribution duration can be searched in all available unmanned aerial vehicle type rescue devices in the effective rescue area, then a connection line between the coordinate axis origin and a coordinate point of the first device is used as a first direction, the first direction is then rotated clockwise (or rotated anticlockwise) by a preset angle in the coordinate system to obtain a second direction, then the unmanned aerial vehicle type rescue device in the second direction or the position of the unmanned aerial vehicle type rescue device near the second direction (within a preset angle range) is used as a second device position b, and then if more unmanned aerial vehicle type rescue devices are required to be searched, the first device position c in the third direction or near the third direction can be continuously rotated clockwise by a preset angle on the basis of the second direction, and so on.

Step 103, respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue equipment.

Specifically, at least one of the plurality of unmanned aerial vehicle type rescue devices of this embodiment is unmanned aerial vehicle type AED, unmanned aerial vehicle can be regarded as the communication terminal of unmanned aerial vehicle type rescue device, after receiving the rescue instruction of backstage server, unmanned aerial vehicle type rescue device reaches the rescue scene and provides rescue service, because unmanned aerial vehicle type rescue device that this embodiment was dispatched is the AED that the distance searched based on positional relationship is nearer for efficiency is fully ensured when rescue, and unmanned aerial vehicle adopts the aerial delivery mode to distribute the AED in addition, can avoid the negative influence such as ground traffic jam in practical application, has further ensured rescue ageing.

It should be noted that in practice, an AED typically requires a professional with experience to operate to provide effective assistance to the patient, while bystanders around the patient may not have experience with the AED, and thus the present embodiment may also search for the AED operator (e.g., volunteers engaged in cardiopulmonary resuscitation training) terminal in the effective assistance area and then send a rescue instruction to the AED operator terminal to instruct the AED operator to travel to the patient location for assistance at the same time.

It should be further understood that in practical application, the rescue command may further carry distribution path information planned by the background server according to the patient position information and the initial position information of the unmanned aerial vehicle rescue device, so that the unmanned aerial vehicle of the unmanned aerial vehicle rescue device can accurately fly to the patient position along the distribution path, and distribution delay caused by non-optimal planned path with limited calculation power of the unmanned aerial vehicle is avoided.

In some implementations of the present embodiment, the specific implementation manner of sending the rescue command carrying the patient position information to the unmanned aerial vehicle of the plurality of unmanned aerial vehicle type rescue devices includes, but is not limited to, the following two types:

Firstly, calculating theoretical power consumption level before the return of the unmanned aerial vehicle based on the corresponding auxiliary service type and the forward flight distance of each unmanned aerial vehicle rescue device; dividing a plurality of unmanned aerial vehicle type rescue devices into a first type unmanned aerial vehicle type rescue device, a second type unmanned aerial vehicle type rescue device and a third type unmanned aerial vehicle type rescue device according to the sequence of theoretical power consumption level from low to high before the return; sending a first rescue instruction carrying patient position information to first unmanned aerial vehicle type rescue equipment, indicating unmanned aerial vehicles of the first unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and mounting unmanned aerial vehicles of third unmanned aerial vehicle type rescue equipment to return; sending a second rescue instruction carrying patient position information to the second unmanned aerial vehicle type rescue equipment, and indicating the unmanned aerial vehicle of the second unmanned aerial vehicle type rescue equipment to mount a corresponding AED according to the patient position information to rush to rescue and return; and sending a third rescue instruction carrying the patient position information to the third type unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the third type unmanned aerial vehicle type rescue equipment to rush to rescue according to the patient position information in an idle mode, and receiving the unmanned aerial vehicle mounting return stroke of the first type unmanned aerial vehicle type rescue equipment.

Specifically, in this embodiment, the types of auxiliary services are different, part of the auxiliary services are completed on the ground, and part of the auxiliary services are completed in the air, and in the process of rescuing a patient, the air auxiliary services such as an audio/video evidence obtaining service require the unmanned aerial vehicle to continuously hover in the air, so that the power consumption of the unmanned aerial vehicle is much higher than that of the ground services, therefore, the embodiment can combine the auxiliary service types and the forward flight distance of each unmanned aerial vehicle rescue device to carry out theoretical estimation on the power consumption level before the return stroke in advance, and obtain the power consumption level of different unmanned aerial vehicle rescue devices before the return stroke. It should be appreciated that when performing auxiliary services on the ground and in the air, the amount of power consumed by the unmanned aerial vehicle per unit time may be estimated, and the length required for a single AED rescue task may also be generally estimated, so that the theoretical power consumption level of the unmanned aerial vehicle during the auxiliary service stage may be determined accordingly.

It should be understood that, in this embodiment, the theoretical power consumption levels before the return of all the unmanned aerial vehicle rescue devices are ordered from high to low, and then all the unmanned aerial vehicle rescue devices are classified into three classes according to the class interval, for example, the power consumption levels before the return include nine classes from low to high, so that the unmanned aerial vehicle rescue devices from 1 class to 3 classes can be used as first class unmanned aerial vehicle rescue devices, the unmanned aerial vehicle rescue devices from 4 classes to 6 classes can be used as second class unmanned aerial vehicle rescue devices, and the unmanned aerial vehicle rescue devices from 7 classes to 9 classes can be used as third class unmanned aerial vehicle rescue devices. Of course, the above-mentioned dividing manner of the present embodiment is only one of the preferred implementations, and is not the only limitation of the present embodiment. According to the embodiment, a plurality of unmanned aerial vehicle type rescue devices are scheduled to execute rescue tasks in different modes according to the power consumption level before the device returns, part of unmanned aerial vehicle type rescue devices run away for rescue in no-load mode, other part of unmanned aerial vehicle type rescue devices mount AEDs to run away for rescue, and no-load unmanned aerial vehicles with lower power consumption level mount no-load unmanned aerial vehicles with higher power consumption level return.

In this embodiment, the unmanned aerial vehicle of the unmanned aerial vehicle type rescue equipment searched for can reach the rescue scene, and provide corresponding auxiliary service at the rescue scene, thereby can satisfy all auxiliary service demands, in addition, the second type unmanned aerial vehicle type rescue equipment can mount AED rescue, thereby can satisfy medical service demands through the AED that provides, has guaranteed from this that the rescue task is satisfactory to be accomplished. It should be noted that, for the empty unmanned aerial vehicle of this embodiment, if the blind eye command controls all unmanned aerial vehicle type rescue devices to mount the AED to the rescue scene before dispatching, then part of unmanned aerial vehicles which need to provide air auxiliary service may not mount their AED for return due to excessive power consumption, even fail to return by themselves, that is, "have to go to the unmanned aerial vehicle" and influence the dispatching of subsequent rescue devices of the system, therefore, the unmanned aerial vehicle type rescue devices of this embodiment with lower theoretical power consumption level before the return are all empty to the rescue, then mount the unmanned aerial vehicle with higher theoretical power consumption level before the return by the unmanned aerial vehicle with lower theoretical power consumption level before the return, continue to accept the foregoing example, and the unmanned aerial vehicle with theoretical power consumption level of 9 before the return by the unmanned aerial vehicle with theoretical power consumption level of 2 before the return matches the unmanned aerial vehicle … … with theoretical power consumption level of 8 level before the return, thus, the unmanned aerial vehicle type rescue device of this embodiment with lower theoretical power consumption level before the return is also mounted by the unmanned aerial vehicle with the third unmanned aerial vehicle type rescue device, that is the unmanned aerial vehicle with the third unmanned aerial vehicle type rescue device can be mounted before the return by itself. Therefore, the embodiment can provide sufficient return guarantee for the unmanned aerial vehicle type rescue equipment for executing the rescue task.

A second mode, selecting a target number of fourth unmanned aerial vehicle type rescue equipment in the first effective rescue area, and selecting a target number of fifth unmanned aerial vehicle type rescue equipment between the first effective rescue area and the second effective rescue area; aiming at each fifth type unmanned aerial vehicle type rescue device, acquiring a fourth type unmanned aerial vehicle type rescue device with a nest position in the middle or near the middle of a rescue flight path of the fifth type unmanned aerial vehicle type rescue device for rescuing; the machine nest is used for storing unmanned rescue equipment; sending a fourth rescue instruction carrying patient position information to fourth unmanned aerial vehicle type rescue equipment, indicating unmanned aerial vehicles of the fourth unmanned aerial vehicle type rescue equipment to mount corresponding AEDs for rescuing according to the patient position information, and carrying out no-load return according to the nest position of the associated fifth unmanned aerial vehicle type rescue equipment; and sending a fifth rescue instruction carrying the patient position information to the fifth unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the fifth unmanned aerial vehicle type rescue equipment to rush to rescue according to the patient position information in an idle mode, and mounting the AED return stroke of the associated fourth unmanned aerial vehicle type rescue equipment according to the nest position of the associated fourth unmanned aerial vehicle type rescue equipment.

Specifically, the effective rescue area of the embodiment includes a first effective rescue area and a second effective rescue area, and the area range of the first effective rescue area is smaller than the area range of the second effective rescue area, that is, the embodiment selects unmanned aerial vehicle type rescue equipment to be scheduled in equal amounts in the areas relatively closer to and relatively farther from the patient.

Fig. 3 shows a schematic device distribution diagram provided in this embodiment, where a region defined by a solid line circle in fig. 3 is a second effective rescue region, a region defined by a dashed line circle is a first effective region, an origin O of a coordinate system represents a patient position, A, B, C represents a fifth type of unmanned aerial vehicle rescue device, a, B, and C represent a fourth type of unmanned aerial vehicle rescue device, respectively, and a, B, C are three groups of associated unmanned aerial vehicle rescue devices, respectively.

In this embodiment, the rescue tasks are executed by two different manners for scheduling the unmanned aerial vehicle type rescue devices, wherein part of unmanned aerial vehicle type rescue devices run to the rescue without load and mount the AED return stroke, and the other part of unmanned aerial vehicle type rescue devices mount the AED to the rescue without load and return stroke, and the return stroke nests of the unmanned aerial vehicle type rescue devices associated with each group are exchanged. It should be understood that, in this embodiment, after the unmanned aerial vehicle type rescue device arrives at the rescue site, the corresponding auxiliary service may be automatically executed, or the arrival indication may be fed back to the background server by the unmanned aerial vehicle type rescue device, and the background server senses that the rescue work has started, so that an auxiliary service execution instruction is further sent to the unmanned aerial vehicle type rescue device, and the unmanned aerial vehicle type rescue device is triggered to provide the auxiliary service.

It should be understood that the unmanned aerial vehicle of the unmanned aerial vehicle type rescue equipment searched in this embodiment is directed to the rescue scene, and provides corresponding auxiliary services on the rescue scene, so that all auxiliary service requirements can be met, in addition, the fourth type unmanned aerial vehicle type rescue equipment can mount AED rescue, so that medical service requirements can be met through the provided AED, thereby ensuring that rescue tasks are completed satisfactorily, and under the return scene, the load states and flight paths of the associated unmanned aerial vehicle type rescue equipment are exchanged, so that the flight distance and load of the unmanned aerial vehicle are balanced and allocated. Therefore, the embodiment can provide sufficient return guarantee for the unmanned aerial vehicle type rescue equipment for executing the rescue task. It should be further understood that, when the load state of the two unmanned aerial vehicle rescue devices associated with the embodiment is changed, the return aircraft nest is also adaptively changed, so that the configuration of the number of unmanned aerial vehicle resources and AED resources in the aircraft nest is still the same as that before the scheduling, which is beneficial to overall scheduling of the background server.

In practical application, the initial state between the unmanned aerial vehicle and the AED of the unmanned aerial vehicle type rescue equipment in the aircraft nest can be a separation state, and if the unmanned aerial vehicle needs to be mounted for rescuing, a control instruction can be sent to the unmanned aerial vehicle through a background server to realize connection of the unmanned aerial vehicle and the AED; of course, the initial state between the unmanned aerial vehicle and the AED of the unmanned aerial vehicle type rescue equipment in the aircraft nest can also be a connection state, and if the unmanned aerial vehicle is required to rush to rescue in an idle state, a control instruction can be sent to the unmanned aerial vehicle through the background server to realize the separation of the unmanned aerial vehicle and the AED.

In some implementations of the present embodiment, after the step of sending the rescue command carrying the patient position information to the unmanned aerial vehicle of the plurality of unmanned aerial vehicle rescue devices, the method further includes: judging whether a task acceptance response sent by the unmanned aerial vehicle is received within a preset time length. Correspondingly, if the task acceptance response is not received, marking the unmanned aerial vehicle type rescue equipment as abnormal unmanned aerial vehicle type rescue equipment, and returning to the step of executing the plurality of unmanned aerial vehicle type rescue equipment which can provide corresponding auxiliary services in the effective rescue area associated with the patient position information according to the plurality of auxiliary service types.

Specifically, in this embodiment, it is considered that the unmanned aerial vehicle configured by the unmanned aerial vehicle type rescue device may malfunction and cannot normally communicate with the background server, so that the rescue task allocated on the background server side is not responded in time by the unmanned aerial vehicle type rescue device, and further the patient cannot obtain rescue in time. Based on the above, after the rescue command is sent, whether the rescue command is effectively sent to the unmanned aerial vehicle type rescue equipment is monitored within the time period allowed by rescue, if not, the unmanned aerial vehicle type rescue equipment is marked as abnormal unmanned aerial vehicle type rescue equipment, reselection of the unmanned aerial vehicle type rescue equipment is carried out at the first time, other unmanned aerial vehicle type rescue equipment is searched in the effective rescue area again to execute rescue, and therefore the rescue task of the background server can be effectively executed by the unmanned aerial vehicle type rescue equipment.

And 104, when receiving an arrival instruction fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment.

Specifically, after the unmanned aerial vehicle type rescue equipment arrives at the rescue site, the embodiment feeds back the arrival indication to the background server, and the background server senses that rescue work is started, so that an auxiliary service execution instruction is further sent to the unmanned aerial vehicle type rescue equipment, various auxiliary services are provided when a patient carries out defibrillation rescue, and powerful support is provided for on-site rescue workers.

In some implementations of this embodiment, after the step of sending the auxiliary service execution instruction to the unmanned rescue apparatus, the method further includes: when a new rescue request is received, corresponding patient position information of a new patient to be rescued is obtained; calculating the interval distance between the corresponding patient position information of the new patient to be rescued and the corresponding patient position information of the current patient to be rescued; when the interval distance is smaller than a preset distance threshold value, unmanned aerial vehicle type rescue equipment to be adapted is selected from a plurality of unmanned aerial vehicle type rescue equipment; and sending a new rescue instruction carrying the corresponding patient position information of the new patient to be rescued to the unmanned aerial vehicle type rescue equipment to be rescheduled.

Specifically, after a plurality of unmanned aerial vehicle type rescue devices are scheduled at the same time, the background server may receive corresponding rescue requests of other patients again, because the unmanned aerial vehicle type rescue devices scheduled to the rescue scene before are multiple, if the unmanned aerial vehicle type rescue devices are all carried with the AED in all the unmanned aerial vehicle type rescue devices which are scheduled, the AED resources are redundant to a certain extent, and compared with auxiliary services provided by the unmanned aerial vehicle, defibrillation rescue services provided by the AED are more precious, and if the two rescue scene distances between the front and the rear are relatively close, part of unmanned aerial vehicle type rescue devices can be updated from all the unmanned aerial vehicle type rescue devices in the current rescue scene, the unmanned aerial vehicle is indicated to finish the auxiliary services in the current rescue scene, the AED is directly mounted from the current scene to arrive at the new rescue scene, and compared with the background server, the unmanned aerial vehicle type rescue devices are rescheduled from the aircraft nest to arrive at the new rescue scene, and the rescue resources arrive at a higher speed, so that the patient with rescue requirements after the unmanned aerial vehicle type rescue devices can be most cured in time.

In some implementations of the present embodiment, the arrived drone rescue device is a drone rescue device carrying an AED. Correspondingly, after the step of sending the auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment, the method further comprises the following steps: acquiring service priorities of auxiliary service types corresponding to other unmanned aerial vehicle rescue equipment which are not arrived; acquiring current position information of the unmanned aerial vehicle rescue equipment which does not arrive, and calculating corresponding time length required for arriving based on the current position information; and when the service priority is smaller than a preset priority threshold and the time required for reaching is longer than a preset time threshold, sending a return instruction to other unmanned aerial vehicle rescue equipment which does not reach.

Specifically, when a plurality of unmanned aerial vehicle rescue devices arrive at a rescue scene at the same time, the arrival time of different unmanned aerial vehicle rescue devices is different according to the flight starting position, flight path or flight environment. If the duration is greater than a preset duration threshold, it is indicated that the unmanned aerial vehicle rescue device still needs a long time to arrive, and rescue is likely to be completed by the AED that was delivered in advance when arriving, and if the service priority is less than the preset priority threshold, it is indicated that the importance of the service to the rescue scene is not high, so that the unmanned aerial vehicle rescue device cannot provide effective support for rescue behaviors, and further, a return instruction can be sent to the unmanned aerial vehicle rescue device which does not arrive, so as to instruct the unmanned aerial vehicle rescue device to return to the machine nest for standby, and the schedulable state is restored in time, thereby realizing reasonable utilization of resources of the unmanned aerial vehicle rescue device.

In some implementations of this embodiment, the step of sending the auxiliary service execution instruction to the unmanned rescue apparatus includes: acquiring the arrival ranking of the arrived unmanned aerial vehicle type rescue equipment; determining the auxiliary service type of the corresponding service priority according to the arrival ranking; and sending auxiliary service execution instructions corresponding to the determined auxiliary service type to the arrived unmanned aerial vehicle type rescue equipment.

Specifically, in this embodiment, each unmanned rescue device may support a plurality of different types of auxiliary services. In practical application, arrival times of a plurality of unmanned aerial vehicle type rescue devices flying against the same rescue scene are different, and in this embodiment, the arrival ranking of the unmanned aerial vehicle type rescue device is determined according to the arrival times, for example, the arrival ranking of the unmanned aerial vehicle type rescue device which arrives first is the first ranking. It should be understood that, in this embodiment, considering that the importance of the services of different auxiliary service types to the rescue scene is different, the auxiliary service of the corresponding type is triggered to be executed according to the arrival ranking of the unmanned aerial vehicle type rescue device, for example, the importance of the auxiliary service executed by the unmanned aerial vehicle type rescue device with the higher arrival ranking is higher, so that the most urgent service requirement in the rescue process can be preferentially satisfied.

Further, in some implementations of this embodiment, before the step of determining the auxiliary service type of the corresponding service priority according to the arrival ranking, the method further includes: acquiring real-time scene characteristic information of a current rescue scene; and respectively setting corresponding service priorities based on the real-time scene characteristic information for a plurality of auxiliary service types.

Specifically, in practical application, the priority order of different auxiliary service types may be preset, and in this embodiment, considering that the environmental features in the practical application scenario are flexible and changeable, the demand level for the auxiliary service may also change, based on this, when the unmanned aerial vehicle rescue device arrives, the demand level for different auxiliary services in the current environment is determined in real time based on the real-time scene feature information, so as to set the priority of different auxiliary services, so as to provide the most effective auxiliary service support in the practical scenario. It should be noted that in a preferred implementation, the actual scene feature information may be identified based on photographs of the actual rescue scene taken by the unmanned rescue device.

In other implementations of this embodiment, after the step of sending the auxiliary service execution instruction to the unmanned rescue apparatus, the method further includes: acquiring real-time scene characteristic information of a current rescue scene at regular time; re-acquiring a plurality of auxiliary service types required by the current rescue scene according to the real-time scene characteristic information; and sending auxiliary service switching instructions to the unmanned aerial vehicle rescue equipment based on the acquired auxiliary service types.

Specifically, scene characteristics of the same rescue scene in different time periods can be dynamically changed, the auxiliary service type suitable for the current scene can be redetermined according to the scene change, and then an auxiliary service switching instruction is sent to unmanned aerial vehicle type rescue equipment on the rescue scene so as to change the auxiliary service type of part or even all of the unmanned aerial vehicle type rescue equipment, so that the unmanned aerial vehicle type rescue equipment provides the auxiliary service type meeting the real-time rescue requirement.

Based on the technical scheme of the embodiment of the application, when a rescue request is received, corresponding patient position information of a current patient to be rescued is acquired, and a plurality of auxiliary service types required by the current rescue scene are acquired; searching for a plurality of unmanned rescue devices that can provide corresponding auxiliary services within an effective rescue area associated with patient location information according to a plurality of auxiliary service types; respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue devices; and when receiving the arrival indication fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment. Through implementation of the scheme of the application, the system schedules a plurality of unmanned aerial vehicle type rescue equipment for rescue, so that the AED distribution time can be reduced compared with manual carrying of a fixed AED for rescue, and a plurality of AEDs can provide more sufficient rescue guarantee for saturated rescue.

Fig. 4 is a rescue equipment scheduling device according to a second embodiment of the present application. The rescue equipment scheduling device can be used for realizing the rescue equipment scheduling method in the embodiment. As shown in fig. 3, the rescue equipment scheduling device mainly includes:

the acquiring module 401 is configured to acquire, when receiving a rescue request, corresponding patient position information of a current patient to be rescued, and acquire a plurality of auxiliary service types required by a current rescue scene; the auxiliary service types comprise lighting service, audio and video evidence obtaining service, audio and video interaction service and emergency alarm service;

a search module 402, configured to search for a plurality of unmanned rescue devices that can provide corresponding auxiliary services in an effective rescue area associated with the patient location information according to a plurality of auxiliary service types; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and an AED which are detachably connected, wherein the unmanned aerial vehicle is used for providing auxiliary services, and the AED is used for providing medical services;

a first sending module 403, configured to send rescue instructions carrying patient position information to a plurality of unmanned aerial vehicle rescue devices respectively;

And the second sending module 404 is configured to send an auxiliary service execution instruction to the unmanned aerial vehicle rescue device when receiving the arrival instruction fed back by the unmanned aerial vehicle rescue device.

In some implementations of this embodiment, the obtaining module is specifically configured to, when executing the above-described functions of obtaining the plurality of auxiliary service types required for the current rescue scene: acquiring a plurality of scene characteristic information corresponding to a current rescue scene; wherein, scene characteristic information includes: weather information, time information, and traffic information; and correspondingly determining a plurality of auxiliary service types required by the current rescue scene by referring to the plurality of scene characteristic information.

In some implementations of the present embodiment, when the obtaining module performs the above function of obtaining the patient position information corresponding to the current patient to be rescued when the rescue request is received, the obtaining module is specifically configured to: receiving a rescue request carrying patient position information sent by wearable electrocardiograph detection equipment based on communication connection with the wearable electrocardiograph detection equipment of a patient to be rescued currently; and acquiring corresponding patient position information of the current patient to be rescued from the rescue request.

In some implementations of the present embodiment, the search module is specifically configured to: searching all available unmanned aerial vehicle type rescue equipment capable of providing corresponding auxiliary services in an effective rescue area with the position information of a patient as a center aiming at all auxiliary service types; calibrating a plurality of equipment searching directions by taking the center of the area as a starting point, wherein the adjacent equipment searching directions are separated by a preset angle; and searching unmanned aerial vehicle type rescue equipment corresponding to each auxiliary service type from all available unmanned aerial vehicle type rescue equipment by referring to the searching directions of the equipment respectively.

In some implementations of this embodiment, the rescue equipment scheduling device further includes a dividing module configured to: calculating theoretical power consumption level before the unmanned aerial vehicle goes back on the basis of the corresponding auxiliary service type and the forward flight distance of each unmanned aerial vehicle rescue device; and dividing the unmanned aerial vehicle type rescue equipment into first unmanned aerial vehicle type rescue equipment, second unmanned aerial vehicle type rescue equipment and third unmanned aerial vehicle type rescue equipment according to the sequence of theoretical power consumption level from low to high before the return journey. Correspondingly, the first sending module is specifically configured to: sending a first rescue instruction carrying patient position information to first unmanned aerial vehicle type rescue equipment, indicating unmanned aerial vehicles of the first unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and mounting unmanned aerial vehicles of third unmanned aerial vehicle type rescue equipment to return; sending a second rescue instruction carrying patient position information to the second unmanned aerial vehicle type rescue equipment, and indicating the unmanned aerial vehicle of the second unmanned aerial vehicle type rescue equipment to mount a corresponding AED according to the patient position information to rush to rescue and return; and sending a third rescue instruction carrying the patient position information to the third type unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the third type unmanned aerial vehicle type rescue equipment to rush to rescue according to the patient position information in an idle mode, and receiving the unmanned aerial vehicle mounting return stroke of the first type unmanned aerial vehicle type rescue equipment.

In some implementations of this embodiment, the effective rescue zone includes a first effective rescue zone and a second effective rescue zone, the first effective rescue zone having a zone extent that is less than a zone extent of the second effective rescue zone. The rescue equipment scheduling device further comprises an association module for: a fourth type unmanned aerial vehicle type rescue device with a target number selected in the first effective rescue area, and a fifth type unmanned aerial vehicle type rescue device with a target number selected between the first effective rescue area and the second effective rescue area; aiming at each fifth type unmanned aerial vehicle type rescue device, acquiring a fourth type unmanned aerial vehicle type rescue device with a nest position in the middle or near the middle of a rescue flight path of the fifth type unmanned aerial vehicle type rescue device for rescuing; the machine nest is used for storing unmanned aerial vehicle type rescue equipment. Correspondingly, the first sending module is specifically configured to: sending a fourth rescue instruction carrying patient position information to fourth unmanned aerial vehicle type rescue equipment, indicating unmanned aerial vehicles of the fourth unmanned aerial vehicle type rescue equipment to mount corresponding AEDs for rescuing according to the patient position information, and carrying out no-load return according to the nest position of the associated fifth unmanned aerial vehicle type rescue equipment; and sending a fifth rescue instruction carrying the patient position information to the fifth unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the fifth unmanned aerial vehicle type rescue equipment to rush to rescue according to the patient position information in an idle mode, and mounting the AED return stroke of the associated fourth unmanned aerial vehicle type rescue equipment according to the nest position of the associated fourth unmanned aerial vehicle type rescue equipment.

In some implementations of this embodiment, the arrived drone rescue device is a drone rescue device carrying an AED. Correspondingly, the rescue equipment scheduling device further comprises a return module for: acquiring service priorities of auxiliary service types corresponding to other unmanned aerial vehicle rescue equipment which are not arrived; acquiring current position information of the unmanned aerial vehicle rescue equipment which does not arrive, and calculating corresponding time length required for arriving based on the current position information; and when the service priority is smaller than a preset priority threshold and the time required for reaching is longer than a preset time threshold, sending a return instruction to other unmanned aerial vehicle rescue equipment which does not reach.

In some implementations of this embodiment, the rescue equipment scheduling device further includes a dispatch module configured to: when a new rescue request is received, corresponding patient position information of a new patient to be rescued is obtained; calculating the interval distance between the corresponding patient position information of the new patient to be rescued and the corresponding patient position information of the current patient to be rescued; when the interval distance is smaller than a preset distance threshold value, unmanned aerial vehicle type rescue equipment to be adapted is selected from a plurality of unmanned aerial vehicle type rescue equipment; and sending a new rescue instruction carrying the corresponding patient position information of the new patient to be rescued to the unmanned aerial vehicle type rescue equipment to be rescheduled.

In some implementations of this embodiment, the second sending module is specifically configured to: acquiring the arrival ranking of the arrived unmanned aerial vehicle type rescue equipment; determining the auxiliary service type of the corresponding service priority according to the arrival ranking; and sending auxiliary service execution instructions corresponding to the determined auxiliary service type to the arrived unmanned aerial vehicle type rescue equipment.

Further, in some implementations of the present embodiment, the rescue equipment scheduling device further includes a setting module configured to: acquiring real-time scene characteristic information of a current rescue scene; and respectively setting corresponding service priorities based on the real-time scene characteristic information for a plurality of auxiliary service types.

In other implementations of this embodiment, the rescue equipment scheduling device further includes a switching module configured to: acquiring real-time scene characteristic information of a current rescue scene at regular time; re-acquiring a plurality of auxiliary service types required by the current rescue scene according to the real-time scene characteristic information; and sending auxiliary service switching instructions to the unmanned aerial vehicle rescue equipment based on the acquired auxiliary service types.

It should be noted that, the rescue equipment scheduling method in the first embodiment may be implemented based on the rescue equipment scheduling device provided in the first embodiment, and those skilled in the art can clearly understand that, for convenience and brevity of description, the specific working process of the rescue equipment scheduling device described in the embodiment may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.

According to the rescue equipment scheduling device provided by the embodiment, when a rescue request is received, corresponding patient position information of a current patient to be rescued is acquired, and a plurality of auxiliary service types required by the current rescue scene are acquired; searching for a plurality of unmanned rescue devices that can provide corresponding auxiliary services within an effective rescue area associated with patient location information according to a plurality of auxiliary service types; respectively sending rescue instructions carrying the position information of the patient to a plurality of unmanned aerial vehicle type rescue devices; and when receiving the arrival indication fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment. Through implementation of the scheme of the application, the system schedules a plurality of unmanned aerial vehicle type rescue equipment for rescue, so that the AED distribution time can be reduced compared with manual carrying of a fixed AED for rescue, and a plurality of AEDs can provide more sufficient rescue guarantee for saturated rescue.

Referring to fig. 5, fig. 5 is a schematic diagram of an electronic device according to a third embodiment of the present application. The electronic device can be used for realizing the rescue equipment scheduling method in the embodiment. As shown in fig. 5, the electronic device mainly includes:

Memory 501, processor 502, bus 503, and a computer program stored in memory 501 and executable on processor 502, memory 501 and processor 502 being connected by bus 503. When the processor 502 executes the computer program, the rescue equipment scheduling method in the foregoing embodiment is implemented. Wherein the number of processors may be one or more.

The memory 501 may be a high-speed random access memory (RAM, random Access Memory) memory or a non-volatile memory (non-volatile memory), such as a disk memory. The memory 501 is used for storing executable program codes, and the processor 502 is coupled to the memory 501.

Further, an embodiment of the present application further provides a computer readable storage medium, which may be provided in the electronic device in each of the foregoing embodiments, and the computer readable storage medium may be a memory in the foregoing embodiment shown in fig. 5.

The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the rescue equipment scheduling method in the foregoing embodiment. Further, the computer-readable medium may be any medium capable of storing a program code, such as a usb (universal serial bus), a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.

The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a readable storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned readable storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.

The foregoing describes a rescue equipment scheduling method, apparatus and computer readable storage medium provided by the present application, and those skilled in the art will recognize that there are variations in terms of the specific embodiments and application scope of the present application according to the ideas of the embodiments of the present application, and in summary, the present disclosure should not be construed as limiting the application.

Claims

1. The rescue equipment scheduling method is applied to a background server and is characterized by comprising the following steps of:

When a rescue request is received, acquiring patient position information of a current patient to be rescued, and acquiring a plurality of auxiliary service types required by a current rescue scene; the auxiliary service types comprise lighting service, audio and video evidence obtaining service, audio and video interaction service and emergency alarm service;

when receiving an arrival instruction fed back by the unmanned aerial vehicle type rescue equipment, sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment;

before the step of sending the rescue instructions carrying the patient position information to the unmanned aerial vehicle type rescue equipment respectively, the method further comprises the following steps: calculating the theoretical power consumption level before the return of the unmanned aerial vehicle based on the auxiliary service type and the forward flight distance corresponding to each unmanned aerial vehicle type rescue device; dividing a plurality of unmanned aerial vehicle type rescue devices into a first type unmanned aerial vehicle type rescue device, a second type unmanned aerial vehicle type rescue device and a third type unmanned aerial vehicle type rescue device according to the sequence of the theoretical power consumption level before returning from low to high; the step of sending rescue instructions carrying the patient position information to a plurality of unmanned aerial vehicle type rescue devices respectively comprises the following steps: sending a first rescue instruction carrying the patient position information to the first unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the first unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and mounting the unmanned aerial vehicle return stroke of the third unmanned aerial vehicle type rescue equipment; sending a second rescue instruction carrying the patient position information to the second unmanned aerial vehicle type rescue equipment, and indicating the unmanned aerial vehicle of the second unmanned aerial vehicle type rescue equipment to mount a corresponding AED according to the patient position information to rush to rescue and return; sending a third rescue instruction carrying the patient position information to the third type unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the third type unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and receiving an unmanned aerial vehicle mounting return stroke of the first type unmanned aerial vehicle type rescue equipment;

Or before the step of sending the rescue instructions carrying the patient position information to the unmanned aerial vehicle type rescue equipment respectively, the method further comprises the following steps: a fourth type unmanned aerial vehicle type rescue device with a target number is selected in a first effective rescue area, and a fifth type unmanned aerial vehicle type rescue device with the target number is selected between the first effective rescue area and a second effective rescue area; the effective rescue area comprises a first effective rescue area and a second effective rescue area, and the area range of the first effective rescue area is smaller than that of the second effective rescue area; acquiring the related fourth-type unmanned aerial vehicle type rescue equipment aiming at each fifth-type unmanned aerial vehicle type rescue equipment; the aircraft nest of the fourth-type unmanned aerial vehicle type rescue equipment is positioned in the middle or near the middle of a rescue flight path of the fifth-type unmanned aerial vehicle type rescue equipment, and is used for storing the unmanned aerial vehicle type rescue equipment; the step of sending rescue instructions carrying the patient position information to a plurality of unmanned aerial vehicle type rescue devices respectively comprises the following steps: sending a fourth rescue instruction carrying the patient position information to the fourth unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the fourth unmanned aerial vehicle type rescue equipment to mount the corresponding AED according to the patient position information for the rescue, and carrying out no-load return on the nest position of the fifth unmanned aerial vehicle type rescue equipment according to photographic association; sending a fifth rescue instruction carrying the patient position information to the fifth unmanned aerial vehicle type rescue equipment, and indicating an unmanned aerial vehicle of the fifth unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information and mounting the AED return stroke of the fourth unmanned aerial vehicle type rescue equipment according to the nest position of the fourth unmanned aerial vehicle type rescue equipment in a camera;

the empty state of the drone rescue apparatus indicates a state in which the AED is not mounted.

2. Rescue apparatus scheduling method according to claim 1, characterized in that the step of obtaining a plurality of auxiliary service types required for the current rescue scene comprises:

Acquiring a plurality of scene characteristic information corresponding to a current rescue scene; the scene characteristic information comprises weather information, time information and people flow information;

and correspondingly determining a plurality of auxiliary service types required by the current rescue scene according to the scene characteristic information.

3. The rescue apparatus scheduling method according to claim 1, wherein the step of acquiring the patient position information corresponding to the current patient to be rescued when receiving the rescue request, comprises:

receiving a rescue request carrying patient position information sent by wearable electrocardiograph detection equipment based on communication connection with the wearable electrocardiograph detection equipment of a patient to be rescued currently;

and acquiring the corresponding patient position information of the current patient to be rescued from the rescue request.

4. Rescue apparatus scheduling method according to claim 1, characterized in that the step of searching for a plurality of unmanned rescue apparatuses which can provide respective auxiliary services within an effective rescue area associated with the patient position information according to a plurality of the auxiliary service types comprises:

Searching all available unmanned aerial vehicle rescue equipment capable of providing corresponding auxiliary services in an effective rescue area with the position information of the patient as a center aiming at all auxiliary service types;

Calibrating a plurality of equipment searching directions by taking the center of the area as a starting point; wherein, a preset angle is arranged between the adjacent equipment searching directions;

And searching unmanned aerial vehicle type rescue equipment corresponding to each auxiliary service type from all available unmanned aerial vehicle type rescue equipment according to the equipment searching directions.

5. Rescue apparatus scheduling method according to claim 1, characterized in that after the step of sending an auxiliary service execution instruction to the unmanned rescue apparatus, it further comprises:

when a new rescue request is received, corresponding patient position information of a new patient to be rescued is obtained;

Calculating the interval distance between the corresponding patient position information of the new patient to be rescued and the corresponding patient position information of the current patient to be rescued;

When the interval distance is smaller than a preset distance threshold value, unmanned aerial vehicle type rescue equipment to be adapted is selected from a plurality of unmanned aerial vehicle type rescue equipment;

And sending a new rescue instruction carrying the corresponding patient position information of the new patient to be rescued to the unmanned aerial vehicle type rescue equipment to be rescheduled.

6. Rescue apparatus scheduling method according to any one of claims 1 to 5, characterized in that the unmanned rescue apparatus that has arrived is an unmanned rescue apparatus carrying an AED;

after the step of sending the auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment, the method further comprises the following steps:

Acquiring service priorities of the auxiliary service types corresponding to the other unmanned aerial vehicle type rescue equipment which are not arrived;

acquiring current position information of the unmanned aerial vehicle type rescue equipment which does not arrive, and calculating corresponding time length required for arriving based on the current position information;

And when the service priority is smaller than a preset priority threshold and the arrival time is longer than a preset time threshold, sending a return instruction to other unmanned rescue equipment which does not arrive.

7. Rescue apparatus scheduling method according to any one of claims 1 to 5, wherein the step of sending an auxiliary service execution instruction to the unmanned rescue apparatus comprises:

Acquiring the arrival ranking of the arrived unmanned aerial vehicle type rescue equipment;

Determining the auxiliary service type of the corresponding service priority according to the arrival ranking;

And sending auxiliary service execution instructions corresponding to the determined auxiliary service type to the arrived unmanned aerial vehicle type rescue equipment.

8. Rescue apparatus scheduling method according to claim 7, characterized in that before the step of determining the auxiliary service type of the corresponding service priority according to the arrival ranking, it further comprises:

Acquiring real-time scene characteristic information of the current rescue scene;

And respectively setting corresponding service priorities for the auxiliary service types based on the real-time scene characteristic information.

9. Rescue apparatus scheduling method according to any one of claims 1 to 5, characterized in that after the step of sending an auxiliary service execution instruction to the unmanned rescue apparatus, it further comprises:

Acquiring real-time scene characteristic information of the current rescue scene at regular time;

re-acquiring a plurality of auxiliary service types required by the current rescue scene according to the real-time scene characteristic information;

and sending an auxiliary service switching instruction to a plurality of unmanned aerial vehicle type rescue equipment based on the acquired auxiliary service types.

10. A rescue equipment scheduling device applied to a background server, comprising:

The acquisition module is used for acquiring the position information of the patient of the current patient to be rescued and acquiring a plurality of auxiliary service types required by the current rescue scene when receiving the rescue request; the auxiliary service types comprise lighting service, audio and video evidence obtaining service, audio and video interaction service and emergency alarm service;

the second sending module is used for sending an auxiliary service execution instruction to the unmanned aerial vehicle type rescue equipment when receiving an arrival instruction fed back by the unmanned aerial vehicle type rescue equipment;

The rescue equipment scheduling device further includes: the division module is used for calculating the theoretical power consumption level before the return of the unmanned aerial vehicle based on the corresponding auxiliary service type and the forward flight distance of each unmanned aerial vehicle type rescue device; dividing a plurality of unmanned aerial vehicle type rescue devices into a first type unmanned aerial vehicle type rescue device, a second type unmanned aerial vehicle type rescue device and a third type unmanned aerial vehicle type rescue device according to the sequence of the theoretical power consumption level before returning from low to high; the first sending module is specifically configured to: sending a first rescue instruction carrying the patient position information to the first unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the first unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and mounting the unmanned aerial vehicle return stroke of the third unmanned aerial vehicle type rescue equipment; sending a second rescue instruction carrying the patient position information to the second unmanned aerial vehicle type rescue equipment, and indicating the unmanned aerial vehicle of the second unmanned aerial vehicle type rescue equipment to mount a corresponding AED according to the patient position information to rush to rescue and return; sending a third rescue instruction carrying the patient position information to the third type unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the third type unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information, and receiving an unmanned aerial vehicle mounting return stroke of the first type unmanned aerial vehicle type rescue equipment;

Or, the rescue equipment scheduling device further includes: the association module is used for selecting a target number of fourth-class unmanned aerial vehicle type rescue equipment in the first effective rescue area and selecting a target number of fifth-class unmanned aerial vehicle type rescue equipment between the first effective rescue area and the second effective rescue area; the effective rescue area comprises a first effective rescue area and a second effective rescue area, and the area range of the first effective rescue area is smaller than that of the second effective rescue area; acquiring the related fourth-type unmanned aerial vehicle type rescue equipment aiming at each fifth-type unmanned aerial vehicle type rescue equipment; the aircraft nest of the fourth-type unmanned aerial vehicle type rescue equipment is positioned in the middle or near the middle of a rescue flight path of the fifth-type unmanned aerial vehicle type rescue equipment, and is used for storing the unmanned aerial vehicle type rescue equipment; the first sending module is specifically configured to: sending a fourth rescue instruction carrying the patient position information to the fourth unmanned aerial vehicle type rescue equipment, indicating the unmanned aerial vehicle of the fourth unmanned aerial vehicle type rescue equipment to mount the corresponding AED according to the patient position information for the rescue, and carrying out no-load return on the nest position of the fifth unmanned aerial vehicle type rescue equipment according to photographic association; sending a fifth rescue instruction carrying the patient position information to the fifth unmanned aerial vehicle type rescue equipment, and indicating an unmanned aerial vehicle of the fifth unmanned aerial vehicle type rescue equipment to rush to rescue in an idle mode according to the patient position information and mounting the AED return stroke of the fourth unmanned aerial vehicle type rescue equipment according to the nest position of the fourth unmanned aerial vehicle type rescue equipment in a camera;

11. An electronic device, comprising: memory, processor, and bus;

the bus is used for realizing connection communication between the memory and the processor;

the processor is used for executing the computer program stored on the memory;

The processor, when executing the computer program, implements the steps of the method according to any one of claims 1 to 9.

12. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 9.