CN117041467A

CN117041467A - Emergency calling method and device for garbage transfer station, electronic equipment and medium

Info

Publication number: CN117041467A
Application number: CN202311254053.1A
Authority: CN
Inventors: 赵吉林; 孟庆海; 隋宗宾; 吴琼; 张晓凯; 姜楠; 罗熙
Original assignee: Zhongguancun Smart City Co Ltd
Current assignee: Zhongguancun Smart City Co Ltd
Priority date: 2023-09-27
Filing date: 2023-09-27
Publication date: 2023-11-10
Anticipated expiration: 2043-09-27
Also published as: CN117041467B

Abstract

The embodiment of the disclosure discloses an emergency call method, an emergency call device, electronic equipment and a medium for a garbage transfer station. One embodiment of the method comprises the following steps: determining junk transfer station information in response to detecting emergency call information sent by the video call equipment; acquiring a garbage transfer station image sequence; carrying out personnel posture detection processing on the image sequence of the garbage transfer station; establishing a video call with the video call device in response to determining that the personnel posture information meets a preset posture condition; amplifying each received video image of the garbage transfer station in the video image sequence of the garbage transfer station corresponding to the video call; determining call information to be first-aid; displaying and amplifying a video image sequence of the refuse transfer station and call information to be first-aid on a monitoring video interface; and calling the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call. This embodiment may reduce damage to the physical health of the attendant.

Description

Emergency calling method and device for garbage transfer station, electronic equipment and medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to an emergency call method, an emergency call device, electronic equipment and a medium for a garbage transfer station.

Background

The on-duty personnel of the garbage transfer station can timely contact the rescue center when the on-duty personnel generate discomfort in the on-duty process and need emergency medical treatment, and the garbage transfer station has important significance for the on-duty personnel in treatment. Currently, when an attendant makes an emergency call, the following modes are generally adopted: when the body of the person on duty is not appropriate, whether the garbage transfer station generates smoke or not is judged through the smoke alarm, so that whether the garbage transfer station generates the smoke or not is judged, and then the person on duty dials an emergency call by himself or waits for other people to find help to dial the emergency call, and the dialed emergency call is a preset call of an emergency center closest to the person on duty.

However, the inventors have found that when emergency calls are made in the above manner, there are often the following technical problems:

first, when the staff is uncomfortable, the staff needs to dial emergency calls by himself, the operation is complicated, or the staff needs to wait for discovery of other people, so that the medical treatment is long in time, and the health of the staff is greatly damaged.

Secondly, different time periods and road sections are different, the emergency call is determined only according to the distance, and when the road conditions between the staff and the emergency center corresponding to the emergency call are not smooth (for example, congestion occurs, construction exists, and the like), the medical treatment is caused to take a long time, and the physical health of the staff is greatly damaged.

Thirdly, the environment of the garbage transfer station is complex, whether the garbage transfer station generates smoke or not is judged through the smoke alarm, and when the smoke is generated in an initial stage, the smoke alarm cannot be triggered to generate an alarm, so that the duration of finding out the hidden danger of the smoke by the person on duty and the dispatching center is longer, the duration of the person on duty in a dangerous environment is longer, and the physical health of the person on duty is greatly damaged.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose emergency call methods, apparatus, electronic devices, and computer readable media for a waste transfer station to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide an emergency call method for a waste transfer station, the method comprising: determining, in response to detecting emergency call information transmitted by a video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device; acquiring a garbage transfer station image sequence corresponding to the garbage transfer station information, wherein the garbage transfer station image sequence is acquired through a camera device included in the video call equipment; performing personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information; establishing a video call with the video call device in response to determining that the personnel posture information meets a preset posture condition; amplifying each garbage transfer station video image in the received garbage transfer station video image sequence corresponding to the video call to obtain an amplified garbage transfer station video image sequence; determining call information to be first-aid corresponding to the garbage transfer station information; displaying the video image sequence of the amplified garbage transfer station and the call information to be first-aid on a monitoring video interface; and calling the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call.

In a second aspect, some embodiments of the present disclosure provide an emergency call apparatus for a waste transfer station, the apparatus comprising: a first determining unit configured to determine, in response to detection of emergency call information transmitted by a video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device; an acquisition unit configured to acquire a garbage transfer station image sequence corresponding to the garbage transfer station information, wherein the garbage transfer station image sequence is acquired by a camera device included in the video call apparatus; the detection unit is configured to perform personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information; a setting-up unit configured to set up a video call with the video call device in response to determining that the person posture information satisfies a preset posture condition; the amplifying unit is configured to amplify each received garbage transfer station video image in the garbage transfer station video image sequence corresponding to the video call so as to obtain an amplified garbage transfer station video image sequence; a second determining unit configured to determine information of a call to be first-aid corresponding to the garbage transfer station information; a display unit configured to display the amplified waste transfer station video image sequence and the call information to be first-aid on a monitoring video interface; and a calling unit configured to call the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantageous effects: the first-aid calling method for the garbage transfer station can reduce the damage to the physical health of operators on duty by some embodiments of the disclosure. Specifically, the time spent for medical treatment is long, and the reason for causing great damage to the physical health of the on-duty personnel is as follows: when the on-duty personnel is uncomfortable, the on-duty personnel needs to dial emergency calls by themselves, the operation is complicated, or the on-duty personnel needs to wait for discovery of other people, so that the medical treatment is long in time consumption, and the on-duty personnel is greatly damaged in health. Based on this, first-aid call methods for a waste transfer station of some embodiments of the present disclosure first determine waste transfer station information corresponding to the emergency call information transmitted by a video telephony device in response to detecting the emergency call information. Wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony apparatus. Thus, when a user makes an emergency call to the dispatch center by operating the call component, the dispatch center can determine the information of the refuse transfer station that generated the call. And secondly, acquiring a garbage transfer station image sequence corresponding to the garbage transfer station information. The image sequence of the garbage transfer station is acquired through a camera device included in the video call equipment. Thus, a sequence of images of the refuse transfer station that generated the call can be obtained, which can be used to detect the posture of the person in the refuse transfer station. And then, carrying out personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information. Thereby, the posture of the person in the refuse transfer station can be obtained, and thus it can be used to determine whether the body of the person in the refuse transfer station is uncomfortable. And then, establishing a video call with the video call device in response to determining that the personnel posture information meets a preset posture condition. Therefore, when the situation that the bodies of the personnel in the garbage transfer station are inconvenient is judged, the video call can be established with the garbage transfer station, and the video picture of the garbage transfer station can be obtained in real time. And then, amplifying each garbage transfer station video image in the received garbage transfer station video image sequence corresponding to the video call to obtain an amplified garbage transfer station video image sequence. Therefore, the amplified video picture of the garbage transfer station can be obtained, and the state of personnel in the garbage transfer station can be more conveniently observed. And next, determining the information to be emergency call corresponding to the garbage transfer station information. Thus, the information to be emergency call can be obtained, and can be used for calling the emergency terminal. And then displaying the video image sequence of the amplified garbage transfer station and the call information to be first-aid on a monitoring video interface. Therefore, the amplified video picture of the garbage transfer station and the information of the call to be first-aid can be displayed, and the user of the dispatching center can conveniently and intuitively check the state of the personnel of the garbage transfer station and the information of the call to be first-aid. And finally, calling the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call. Therefore, when a user of the dispatching center confirms to carry out calling operation according to the state of the person of the checked garbage transfer station, the emergency call terminal can be automatically called, so that manual dialing again by a worker is not needed, and the dialing operation is simplified. Also because when the personnel on duty are physically untimely, the scheduling center can be called by a simple calling component in the video call equipment through one key, then, the scheduling center automatically determines the information of calling to be first-aid according to the state of the personnel on duty, and the video picture of the garbage transfer station is transmitted to the scheduling center in real time, so that the scheduling center is convenient for helping the personnel on duty to automatically dial the first-aid call, know the real-time state of the personnel on duty, thereby not needing the personnel on duty to dial the first-aid call by themselves, or wait for other people to find out, thereby, the time consumed by the personnel on duty for medical treatment can be reduced, and the damage to the physical health of the personnel on duty can be reduced.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

Fig. 1 is a flow chart of some embodiments of an emergency call method for a waste transfer station according to the present disclosure;

fig. 2 is a schematic structural view of some embodiments of an emergency call device for a waste transfer station according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates a flow 100 of some embodiments of an emergency call method for a waste transfer station according to the present disclosure. The emergency call method for the garbage transfer station comprises the following steps:

In step 101, in response to detecting the emergency call information sent by the video call device, determining junk transfer station information corresponding to the emergency call information.

In some embodiments, an executing entity (e.g., computing device) of an emergency call method for a waste transfer station may determine waste transfer station information corresponding to emergency call information sent by a video telephony device in response to detecting the emergency call information. The execution body may be a computing device of a dispatch center of the garbage transfer station. The video call apparatus may be an apparatus for performing a video call with the execution subject. The video call device can be installed in a garbage transfer station. The video telephony device may include, but is not limited to, a display assembly, a camera device, a communication assembly, a microphone assembly, a sound playback device, and a calling assembly. The display assembly may be a display screen. The image pickup device may be a camera. The microphone assembly may be an assembly for collecting user sound. For example, the microphone assembly described above may include a microphone. The above-mentioned sound playing device may be a device for playing sound. For example, the sound playing device may be a sound. The calling component may be a component for implementing a user call. For example, the calling component may be a key. The display component, the camera device, the microphone component, the sound playing device component and the calling component are in communication connection with the communication component. The video call device may be communicatively connected to the execution body through the communication unit. The communication components may include, but are not limited to, local area network dedicated lines, network interfaces. The emergency call information is generated by a user through an operation acting on a call component included in the video telephony apparatus. The emergency call information may characterize the need of the emergency call dispatch center by the user. For example, the emergency call information may be "emergency call dispatch center". Each video call device identifier corresponds to preset garbage transfer station information. In practice, the executing entity may determine the garbage transfer station information corresponding to the emergency call information in response to detecting the emergency call information transmitted by the video telephony device in various manners.

In some optional implementations of some embodiments, the executing entity may determine the garbage transfer station information corresponding to the emergency call information in response to detecting the emergency call information sent by the video telephony device by:

in the first step, in response to detecting the emergency call information sent by the video call device, a preset device identifier corresponding to the video call device is determined as a target device identifier. The preset device identifier may be a preset identifier of a corresponding video call device.

And secondly, checking the target equipment identifier to obtain check information. In practice, first, the executing body may determine, in response to determining that the target device identifier exists in the preset video telephony device identifier set, preset verification success information as verification information. The preset video call device identifier in the preset video call device identifier set may be a preset video call device identifier. The preset verification success information may be preset information indicating that the video call device is successfully verified. For example, the preset verification success information may be "verification success". And then, in response to determining that the target equipment identifier does not exist in the preset video call equipment identifier set, determining preset verification failure information as verification information. The preset verification failure information may be preset information indicating that the verification of the video call device fails. For example, the preset verification failure information may be "verification failure".

And thirdly, determining the preset garbage transfer station information corresponding to the preset equipment identifier as the garbage transfer station information corresponding to the emergency call information in response to determining that the verification information meets the preset verification condition. The preset verification condition may be that verification information represents verification success. The preset garbage transfer station information may be preset information representing the attribute of the garbage transfer station. The preset garbage transfer station information may include, but is not limited to, garbage transfer station identification. The garbage transfer station identifier can be used for uniquely identifying the garbage transfer station.

Step 102, acquiring a garbage transfer station image sequence corresponding to the garbage transfer station information.

In some embodiments, the executing entity may obtain a sequence of images of the garbage transfer station corresponding to the garbage transfer station information. The image sequence of the garbage transfer station is acquired through a camera device included in the video call equipment. The image of the garbage transfer station in the image sequence of the garbage transfer station can be an image of the interior of the garbage transfer station. The image sequence of the garbage transfer station can be a sequence in which the images of the garbage transfer station are arranged according to the sequence of the acquired time. In practice, the execution body may acquire the image sequence of the garbage transfer station corresponding to the garbage transfer station information from the database through a wired connection or a wireless connection. It should be noted that the wireless connection may include, but is not limited to, 3G/4G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.

And step 103, performing personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information.

In some embodiments, the executing body may perform a person gesture detection process on the image sequence of the garbage transfer station to obtain person gesture information. The personnel posture information can represent the posture of the personnel. In practice, the execution main body can perform personnel posture detection processing on the image sequence of the garbage transfer station in various modes to obtain personnel posture information.

In some optional implementations of some embodiments, the executing entity may input the image sequence of the garbage transfer station into a pre-trained human body posture information generating model to obtain human body posture information. The human body posture information generation model can be a neural network which takes a garbage transfer station image sequence as input and takes human body posture information as output. The human body posture information generation model comprises an input layer, a feature extraction layer, a joint point information prediction layer and an output layer. The input layer may be used to preprocess each image of the garbage transfer station in the image sequence of the garbage transfer station. The feature extraction layer can be used for extracting and processing the joint point features of personnel on each garbage transfer station image in the garbage transfer station image sequence to obtain a joint point feature vector set. The feature extraction layer may be a MobileNetV2 network layer. The joint point information prediction layer may output a joint point prediction information sequence according to the joint point feature vector set output by the feature extraction layer. The joint point information prediction layer may be a convolutional neural network layer. The joint point prediction information in the joint point prediction information sequence may be a predicted joint point coordinate set of each joint point of the corresponding user. Each joint point coordinate in the joint point coordinate set corresponds to one joint point. Each joint point coordinate in the joint point coordinate set may be a coordinate of the joint point in the image of the garbage transfer station. The joint prediction information sequence may be a sequence in which the respective joint prediction information is ordered according to the order of the images of the garbage transfer station in the image sequence of the garbage transfer station. The output layer may be a space-time diagram convolution network with the joint prediction information sequence as input and the human body posture information as output. The human body posture information may represent the posture of the human body. The human body posture information may include a human body posture type. The human gesture type may be, but is not limited to, one of the following: lying, sitting, standing and lying. Wherein the input layer is connected with the feature extraction layer. The feature extraction layer is connected with the joint point information prediction layer. The joint point information prediction layer is connected to the output layer.

And 104, establishing a video call with the video call equipment in response to determining that the personnel posture information meets the preset posture condition.

In some embodiments, the executing entity may establish a video call with the video call device in response to determining that the person gesture information satisfies a preset gesture condition. The preset gesture condition may be that the gesture information of the person indicates that the gesture of the person is a lying gesture or a lying gesture.

And 105, amplifying each garbage transfer station video image in the received garbage transfer station video image sequence corresponding to the video call to obtain an amplified garbage transfer station video image sequence.

In some embodiments, the executing body may amplify each of the received video images of the garbage transfer station in the video image sequence of the garbage transfer station corresponding to the video call, to obtain an amplified video image sequence of the garbage transfer station. The sequence of the video images of the garbage transfer station can be a sequence in which the received video images of the garbage transfer station are arranged according to time sequence. The video image of the garbage transfer station in the video image sequence of the garbage transfer station can be an image of the garbage transfer station acquired by a camera device included in video communication equipment in the video communication process. In practice, the executing body can amplify each garbage transfer station video image in the received garbage transfer station video image sequence corresponding to the video call according to a preset amplification factor to obtain an amplified garbage transfer station video image sequence. The preset magnification may be a preset magnification. For example, the preset magnification may be 2 times.

And 106, determining the information to be emergency call corresponding to the junk transfer station information.

In some embodiments, the executing entity may determine information to be called for emergency corresponding to the garbage transfer station information. The information to be emergency call may be information for emergency call. In practice, the executing entity may determine the information of the to-be-first-aid call corresponding to the information of the garbage transfer station in various ways.

Alternatively, the garbage transfer station information may include garbage transfer station location information. The position information of the garbage transfer station can represent the position of the garbage transfer station. The refuse transfer station location information may include, but is not limited to, refuse transfer station location coordinates. The position coordinates of the garbage transfer station may be coordinates of the garbage transfer station in a GPS (Global Positioning System ) coordinate system.

In some optional implementations of some embodiments, the executing entity may determine the information of the call to be emergency corresponding to the information of the garbage transfer station by:

first, obtaining a preset emergency call waiting information set corresponding to the position information of the garbage transfer station. The preset information to be emergency call in the preset information set to be emergency call may be preset information that may be used for emergency call. The preset information to be emergency call in the preset information set to be emergency call may include, but is not limited to, emergency call contact information and calling terminal position information. The emergency call contact may be a contact for an emergency call. The calling terminal position information may be coordinates of the calling terminal in a GPS coordinate system. The call terminal may be a terminal for receiving an emergency call. The calling terminal can be a fixed telephone corresponding to the emergency call contact mode, and can also be a mobile phone corresponding to the emergency call contact mode. In practice, the executing body may acquire the preset call information set to be first-aid corresponding to the position information of the garbage transfer station from the database in a wired connection or wireless connection mode.

A second step of executing the following sub-steps for each calling terminal position information included in the preset emergency calling information set:

and a first sub-step of determining calling distance information according to the position information of the garbage transfer station and the position information of the calling terminal. In practice, the executing body may determine, as the calling distance information, a distance between the garbage transfer station position information and the calling terminal position information according to a preset distance algorithm. The preset distance algorithm may be a haverine (semi-normal) formula.

And a second sub-step of obtaining road condition information corresponding to the position information of the garbage transfer station and the position information of the calling terminal. The road condition information can represent the road condition of the corresponding road section. The road condition information may include, but is not limited to, a congestion type and a road construction type. The congestion type may characterize the congestion level of the corresponding road segment. The congestion type may be, but is not limited to, one of the following: clear road, slow road running and serious congestion. The road construction type can represent whether the corresponding road section has the phenomenon of road construction or not. The road construction type may be, but is not limited to, one of the following: and (5) constructing and not constructing. In practice, the executing body may acquire road condition information corresponding to the position information of the garbage transfer station and the position information of the calling terminal from a database through wired connection or wireless connection.

And thirdly, sequencing the determined calling distance information to obtain a calling distance information sequence. In practice, the executing body may sort the determined call distance information according to the order from small to large, so as to obtain a call distance information sequence.

Fourth, for each calling distance information in the calling distance information sequence, executing the following substeps:

a first sub-step of determining a preset distance score corresponding to the order of the calling distance information as distance score information. The preset distance score may be a preset score corresponding to the distance ranking.

And a second sub-step of determining the road condition information corresponding to the calling distance information as target road condition information.

And a third sub-step of determining a preset congestion score corresponding to the congestion type included in the target road condition information as congestion score information. The preset congestion score may be a preset score of a corresponding congestion type.

And a fourth sub-step of determining a preset construction score corresponding to the road construction type included in the target road condition information as construction score information. The preset construction score may be a preset score corresponding to a road construction type.

And a fifth sub-step of generating call score information according to the distance score information, the congestion score information and the construction score information. In practice, the execution body may determine, as the call score information, a sum of the product of the distance score information and a preset distance weight, the product of the congestion score information and a preset congestion weight, and the product of the construction score information and a preset construction weight. The preset distance weight may be a weight occupied by a preset distance. The preset congestion weight may be a preset weight occupied by road congestion. The preset construction weight may be a weight occupied by a preset road construction. The sum of the preset distance weight, the preset congestion weight, and the preset construction weight may be 1. For example, the preset distance weight may be 0.5, the preset congestion weight may be 0.3, and the preset construction weight may be 0.2.

And fifthly, determining the call score information meeting the preset score condition in the generated call score information as target call score information. The preset score condition may be that the call score information is the maximum value of the generated call score information.

And sixthly, determining the preset emergency call waiting information corresponding to the target call score information in the preset emergency call waiting information set as the emergency call waiting information corresponding to the garbage transfer station information.

The technical scheme and the related content are taken as an invention point of the embodiment of the disclosure, and the technical problem mentioned in the background art is solved, namely, different time periods and road sections are also different, the emergency call is determined only according to the distance, and when the road conditions between the staff and the emergency center corresponding to the emergency call are not smooth (for example, congestion, construction and the like occur), the medical treatment is caused to consume longer time, and the physical health of the staff is greatly damaged. Factors that cause major damage to the physical health of the attendant are often as follows: the road conditions are different in different time periods and road sections, emergency telephones are determined only according to the distance, and when the road conditions between the staff and the emergency centers corresponding to the emergency telephones are not smooth (for example, congestion occurs, construction exists, and the like), the medical treatment is long, and the physical health of the staff is greatly damaged. If the above factors are solved, the effect of reducing the damage to the physical health of the person on duty can be achieved. To achieve this effect, first, the emergency call method for a refuse transfer station according to some embodiments of the present disclosure obtains a preset emergency call waiting information set corresponding to the position information of the refuse transfer station. The preset first-aid call information in the preset first-aid call information set comprises call terminal position information. Thus, the preset information set to be first-aid calling can be obtained, and can be used for determining the optimal information to be first-aid calling. Secondly, for each calling terminal position information included in the preset calling information set to be first-aid, executing the following steps: determining calling distance information according to the position information of the garbage transfer station and the position information of the calling terminal; and acquiring road condition information corresponding to the position information of the garbage transfer station and the position information of the calling terminal, wherein the road condition information comprises a congestion type and road construction. Therefore, the distance and road condition information of the corresponding road section between the position information of each calling terminal and the garbage transfer station can be obtained, and the method can be used for selecting optimal calling information to be first-aid. And then, sequencing the determined calling distance information to obtain a calling distance information sequence. Thus, a calling distance information sequence can be obtained. Then, for each piece of calling distance information in the calling distance information sequence, the following steps are executed: determining a preset distance score corresponding to the order of the calling distance information as distance score information; determining the road condition information corresponding to the calling distance information as target road condition information; determining a preset congestion score corresponding to the congestion type included in the target road condition information as congestion score information; determining a preset construction score corresponding to the road construction type included in the target road condition information as construction score information; and generating calling score information according to the distance score information, the congestion score information and the construction score information. Therefore, the distance and road condition information of the corresponding road section between the position information of each calling terminal and the garbage transfer station can be comprehensively considered to obtain the information of each calling score, and the information can be used for selecting optimal preset first-aid calling information. Next, call score information satisfying a preset score condition among the generated call score information is determined as target call score information. Thus, the highest-score calling score information can be obtained, and is used for determining the optimal preset emergency calling information. And finally, determining the preset emergency call waiting information corresponding to the target call score information in the preset emergency call waiting information set as the emergency call waiting information corresponding to the garbage transfer station information. Therefore, the optimal information of the call to be first-aid, which comprehensively considers the distance and the road condition, can be obtained, and the medical treatment time can be shortened. Also, when the emergency call is determined, the distance between the corresponding emergency center and the garbage transfer station is considered, and the corresponding real-time road condition is considered, so that the medical treatment time is shortened, and the damage to the physical health of the on-duty personnel can be reduced.

And step 107, displaying the amplified video image sequence of the garbage transfer station and the call information to be first-aid on a monitoring video interface.

In some embodiments, the executing entity may display the amplified waste transfer station video image sequence and the call information to be first-aid on a monitoring video interface. The monitoring video interface may be an interface for displaying a video image.

And step 108, calling the emergency call terminal corresponding to the information to be emergency call in response to detecting the operation of confirming the call corresponding to the information to be emergency call.

In some embodiments, the executing body may call the emergency call terminal corresponding to the information to be emergency call in response to detecting an acknowledge call operation corresponding to the information to be emergency call. The operation of confirming the call may be an operation of confirming the dialing of the information to be first-aid call. The emergency call terminal can be a mobile phone or a landline.

Optionally, the above execution body may further execute the following steps:

the first step, in response to detecting the video call request information sent by the video call equipment, performing security check processing on the video call request information to obtain security check information. The video call request information may be information for requesting to perform a video call. The video call request information may include, but is not limited to, a video call device identification. In practice, the executing body may determine, in response to detecting the video call request information sent by the video call device, that the video call device identifier included in the video call request information exists in the preset video call device identifier set, and determine the preset verification success information as security verification information.

And a second step of establishing a video call with the video call device in response to determining that the security check information satisfies a preset security check condition and detecting video call permission information corresponding to the video call request information. The preset security check condition may be that the security check information indicates that the verification passes. The above-described allowed video call information may characterize an allowed video call with the video call device. For example, the above-described video call permission information may be "video call permission".

Optionally, the above execution body may further execute the following steps:

and a first step of acquiring a garbage bin image corresponding to the garbage transfer station information in response to determining that the personnel posture information does not meet the preset posture condition. The garbage bin image can be an image of a garbage bin in a garbage transfer station. In practice, the execution body may acquire the garbage bin image corresponding to the garbage transfer station information from the database through a wired connection or a wireless connection.

And secondly, carrying out loading detection processing on the garbage bin image to obtain garbage bin loading information. Wherein, the garbage bin loading information can represent the loading degree of the garbage bin. In practice, the execution body may perform loading detection processing on the garbage bin image in various manners to obtain garbage bin loading information.

In some optional implementations of some embodiments, the executing body may perform loading detection processing on the garbage bin image to obtain garbage bin loading information through the following steps:

and step one, performing image segmentation processing on the garbage bin image to obtain a garbage bin segmented image. Wherein, the garbage bin segmented image may include each segmented region. The divided regions of the respective divided regions may be divided regions having similar properties. For example, the regions of similar nature described above may be regions of the garbage that characterize garbage in the garbage bin partition image. In practice, the execution subject may perform image segmentation processing on the garbage bin image through a preset image segmentation algorithm, so as to obtain a garbage bin segmented image. The preset image segmentation algorithm may be an algorithm for performing image segmentation on an image. The preset image segmentation algorithm may be, but is not limited to, one of the following: image segmentation algorithm based on clustering and image segmentation algorithm based on neural network.

And secondly, carrying out garbage detection processing on the garbage bin image to obtain garbage area information. In practice, the execution body can perform garbage detection processing on the garbage bin image through a preset target detection algorithm to obtain garbage area information. The preset target detection algorithm may be a preset algorithm for performing target detection. For example, the preset target detection algorithm may be a target detection algorithm based on a convolutional neural network. The above-described trash area information may characterize the area of trash covered in the trash bin. The garbage region information may include a region vertex coordinate set. The regional vertex coordinate sets correspond to all vertexes surrounding the garbage region. Each region vertex coordinate corresponds to a vertex. The regional vertex coordinates in the regional vertex coordinate set may be coordinates of the corresponding vertex in the garbage bin image.

And thirdly, determining area information corresponding to each divided area of the garbage bin divided image. In practice, for each of the divided areas included in the garbage bin divided image, the execution body may determine an area corresponding to the divided area as area information through a preset area algorithm. The preset area algorithm may be an algorithm for obtaining an area of the irregular pattern. For example, the predetermined area algorithm may be an integration method.

And step four, generating the total area information of the areas according to the determined area information of each area. In practice, the above-described execution subject may determine the sum of the determined individual area information of the areas as the area total area information.

And fifthly, determining the garbage area information according to the garbage area information and the area information of each area. In practice, first, for each area information included in the area information of each area, the execution body may determine, by using the preset area algorithm, a superposition area of the divided area corresponding to the area information and the garbage area information. Then, the area information corresponding to the maximum value of the specified overlapping areas among the above-described individual area information is specified as garbage area information.

And step six, generating garbage area ratio information according to the garbage area information and the total area information of the areas. In practice, the execution body may determine the ratio of the garbage area information to the total area information of the areas as garbage area ratio information.

And seventhly, generating garbage bin loading information according to the garbage area occupation ratio information. In practice, the execution body may input the garbage area ratio information into a garbage bin loading information generation model obtained by training in advance, so as to obtain garbage bin loading information. The garbage bin loading information may include a garbage bin loading rate. The above-described garbage bin load rate may be a ratio of a volume of garbage that has been loaded in the garbage bin to a volume of the garbage bin. The garbage bin loading information generation model may be a linear function model having garbage area ratio information as an input and garbage bin loading information as an output.

And thirdly, performing personnel identification processing on each garbage transfer station image in the garbage transfer station image sequence to obtain identification result information. The identification result information may be a person type in the image of the garbage transfer station. The above-mentioned person types may be types to which the person belongs. The person type may be, but is not limited to, one of the following: the personnel on duty, garbage truck drivers and non-staff. In practice, the executing body can perform personnel identification processing on each garbage transfer station image in the garbage transfer station image sequence through a preset face recognition algorithm to obtain identification result information. The preset face recognition algorithm may be a preset algorithm for performing face recognition. For example, the preset face recognition algorithm may be a face recognition algorithm based on a convolutional neural network.

And step four, determining the emergency call type according to the identification result information and the garbage bin loading information. The type of emergency call may be indicative of the type of cause of the emergency call. In practice, first, the execution body may determine the preset bin full type as the emergency call type in response to determining that the bin loading information satisfies the preset loading condition. The preset loading condition may be that the loading information of the garbage bin is greater than the preset loading rate of the garbage bin. The preset garbage bin loading rate may be a preset garbage bin loading rate indicating that the garbage bin is full. The above-described preset bin full type may be indicative of the reason for the emergency call being the bin full. And secondly, in response to determining that the garbage bin loading information does not meet the preset loading condition and the identification result information meets the preset identification condition, determining the preset unattended person type as an emergency call type. The preset identification condition can be the identification result information to represent personnel in the garbage transfer station which are not on duty. The reason why the preset unattended person type can characterize the emergency call is that the unattended person in the garbage transfer station is the emergency call. And finally, in response to determining that the garbage bin loading information does not meet the preset loading condition and the identification result information does not meet the preset identification condition, determining the preset error call type as an emergency call type. The preset error call type may represent an emergency call formed by taking the current emergency call as an error point.

And fifthly, in response to determining that the emergency call type does not meet the preset call condition, determining a preset dispatch user type corresponding to the emergency call type as a target dispatch user type. The preset call condition may represent an emergency call formed by the current emergency call as a mispoint for the emergency call type. The preset scheduling user type may be a preset type to which a user to be scheduled belongs. The preset scheduling user type may be, but is not limited to, one of the following: personnel on duty and transport garbage drivers.

And sixthly, acquiring a schedulable user information set corresponding to the target scheduling user type. The schedulable user information in the schedulable user information set may be attribute information of a schedulable user. The schedulable user information in the schedulable user information set described above may include, but is not limited to, user identification and user location information. The user identification may be a unique identification of the user. The user location information may be coordinates of the user in a GPS coordinate system. In practice, the executing body may acquire the schedulable user information set corresponding to the target scheduling user type from the database through a wired connection or a wireless connection.

Seventh, determining the schedulable user information which meets the preset personnel condition in the schedulable user information set as the scheduling user information. The preset personnel condition may be that a distance between user position information included in the schedulable user information and position information of the garbage transfer station is a minimum value.

And eighth step, calling the dispatching terminal corresponding to the dispatching user information in response to detecting the confirmation calling information corresponding to the dispatching user information. The confirmation call information may characterize a user for whom the confirmation call corresponds to the dispatch user information. The scheduling terminal may be a terminal of a user corresponding to the scheduling user information. For example, the scheduling terminal may be a mobile phone.

Optionally, the above execution body may further execute the following steps:

and firstly, carrying out smoke detection processing on each garbage transfer station image in the garbage transfer station image sequence to obtain a smoke area information set. In practice, the execution subject may input each garbage transfer station image in the garbage transfer station image sequence into a pre-trained smoke area information generation model to obtain a smoke area information set. The smoke area information generation model may be a neural network that takes a garbage transfer station image as an input and smoke area information as an output. The neural network may be YOLOv5. The smoke area information may characterize the area detected in the image of the waste transfer station where smoke is present. The smoke area information may include coordinates of a center point of the smoke area, an area length, and an area width. The coordinates of the center point of the smoke area can be the coordinates of the center point of the rectangular frame corresponding to the smoke area in the image of the garbage transfer station. The above-mentioned region length may be the length of a rectangular frame corresponding to the smoke region. The width of the region may be the width of a rectangular frame corresponding to the smoke region.

A second step of executing, for each smoke area information included in the smoke area information set, the following sub-steps:

and a first sub-step, responding to the fact that the smoke area information meets the preset area condition, and cutting the garbage transfer station image corresponding to the smoke area information in the garbage transfer station image sequence according to the smoke area information to obtain the smoke area image of the garbage transfer station. The preset area condition may be that the smoke area information is not null. In practice, the execution body may perform clipping processing on the garbage transfer station image corresponding to the smoke region information in the garbage transfer station image sequence according to the boundary line of the rectangular frame corresponding to the smoke region information in response to determining that the smoke region information meets a preset region condition, so as to obtain a smoke region image of the garbage transfer station.

And a second sub-step, carrying out normalization processing on the smoke area image of the garbage transfer station to obtain a normalized smoke area image.

And a third sub-step, classifying the normalized smoke area image to obtain smoke classification result information. The smoke classification result information can represent whether a smoke area exists in the normalized smoke area image. In practice, the execution subject may input the normalized smoke region image into a pre-trained smoke classification result information generation model to obtain smoke classification result information. The above-mentioned smoke classification result information generation model may be a classification model in which a normalized smoke area image is input and smoke classification result information is output. For example, the classification model may be a support vector machine, or may be a classification model based on a convolutional neural network.

And a fourth sub-step of determining the smoke area information as target smoke area information in response to determining that the smoke classification result information satisfies a preset result condition. The preset result condition may be that the smoke classification result information represents a smoke region where the normalized smoke region image exists.

And a fifth substep, determining a garbage transfer station image corresponding to the target smoke area information in the garbage transfer station image sequence as a target garbage transfer station image.

And a sixth substep of determining each garbage transfer station image adjacent to the target garbage transfer station image in the garbage transfer station image sequence as an adjacent garbage transfer station image set.

And a seventh substep of generating image similarity information for each adjacent garbage transfer station image included in the adjacent garbage transfer station image set according to the adjacent garbage transfer station image and a target garbage transfer station image corresponding to the adjacent garbage transfer station image. In practice, for each adjacent garbage transfer station image included in the adjacent garbage transfer station image set, the executing body may determine, according to a preset similarity algorithm, a similarity between the adjacent garbage transfer station image and a target garbage transfer station image corresponding to the adjacent garbage transfer station image as image similarity information. The predetermined similarity algorithm may be cosine similarity.

And an eighth substep of determining target smoke classification information corresponding to the smoke region information according to the generated similarity information of each image. In practice, first, the execution subject may determine a preset existing smoke type as the target smoke classification information corresponding to the above-described smoke region information in response to determining that any image similarity information in the generated respective image similarity information is equal to or smaller than a preset similarity. The preset similarity may be a preset similarity representing similarity of two images. The preset smoke type may be a type of smoke in a preset characterization image. Then, in response to determining that the generated respective image similarity information is greater than the preset similarity, a preset non-existing smoke type is determined as target smoke classification information corresponding to the above-described smoke region information. The preset type of non-existing smoke may be a preset type of non-existing smoke in the characterization image.

And thirdly, displaying preset smoke alarm information in response to the fact that the determined arbitrary target smoke classification information meets preset classification conditions. The preset classification condition may be any target smoke classification information to represent that smoke exists in the image. The preset smoke alarm information may be preset information representing smoke alarm. For example, the preset smoke alarm information may be "warning, and smoke exists".

The technical scheme and the related content are taken as an invention point of the embodiment of the disclosure, so that the technical problem mentioned in the background art is solved, the environment of the garbage transfer station is complex, whether the garbage transfer station generates smoke or not is judged by the smoke alarm, and when the smoke is generated in an initial stage, the smoke alarm cannot be triggered to generate an alarm, so that the time for finding the hidden danger of the smoke by the operator on duty and the dispatching center is longer, the time for the operator on duty to be in the dangerous environment is longer, and the physical health of the operator on duty is greatly damaged. Factors that cause great damage to the physical health of the attendant are often as follows: the environment of the garbage transfer station is complex, whether the garbage transfer station generates smoke or not is judged through the smoke alarm, and when the smoke is generated in an initial stage, the smoke alarm cannot be triggered to generate an alarm, so that the time for finding the hidden danger of the smoke by the person on duty and the dispatching center is longer, the time for causing the person on duty to be in the dangerous environment is longer, and the physical health of the person on duty is greatly damaged. If the above factors are solved, the effect of reducing the damage to the physical health of the person on duty can be achieved. To achieve this effect, the emergency call method for a garbage transfer station according to some embodiments of the present disclosure first performs a smoke detection process on each garbage transfer station image in the above-mentioned garbage transfer station image sequence, to obtain a smoke area information set. Thus, a smoke region information set can be obtained, which can be used to again determine whether a detected smoke region is present. Next, for each smoke region information included in the above smoke region information set, the following steps are performed: in the first step, in response to determining that the smoke area information meets a preset area condition, cutting the garbage transfer station image corresponding to the smoke area information in the garbage transfer station image sequence according to the smoke area information to obtain a smoke area image of the garbage transfer station. Thus, a detected smoke region image can be obtained, and can be used to again determine whether smoke is present in the smoke region image. And secondly, carrying out normalization processing on the smoke area image of the garbage transfer station to obtain a normalized smoke area image. Therefore, the normalized smoke area image can be obtained, and the normalized smoke area image can be conveniently classified and identified. And thirdly, classifying the normalized smoke area image to obtain smoke classification result information. Thus, a smoke classification result of the secondary judgment can be obtained. And a fourth step of determining the smoke area information as target smoke area information in response to determining that the smoke classification result information satisfies a preset result condition. Therefore, when the smoke area information is judged to still exist smoke again, the target smoke area information can be obtained, so that whether the smoke area information exists smoke or not can be judged again, and the judgment accuracy is improved. And fifthly, determining the garbage transfer station image corresponding to the target smoke area information in the garbage transfer station image sequence as a target garbage transfer station image. And sixthly, determining each garbage transfer station image adjacent to the target garbage transfer station image in the garbage transfer station image sequence as an adjacent garbage transfer station image set. Seventh, for each adjacent garbage transfer station image included in the adjacent garbage transfer station image set, generating image similarity information according to the adjacent garbage transfer station image and a target garbage transfer station image corresponding to the adjacent garbage transfer station image. Therefore, the similarity between adjacent images of the garbage transfer station can be judged by utilizing the characteristic of smoke diffusion, so that whether the corresponding images of the garbage transfer station have smoke or not can be judged again. Eighth, determining target smoke classification information corresponding to the smoke area information according to the generated similarity information of each image. Thus, whether the region corresponding to the smoke region information has smoke or not can be determined, and accordingly whether the smoke alarm information is displayed or not can be judged. And finally, displaying preset smoke alarm information in response to the fact that the determined arbitrary target smoke classification information meets preset classification conditions. Therefore, when the smoke in the image sequence of the garbage transfer station is judged through three times of detection, the preset smoke alarm information is displayed, so that the user can be prompted that the smoke exists in the garbage transfer station. Also because when the early stage is generated to smog, can't trigger the smog alarm and produce the warning, can detect whether there is smog region in the rubbish transfer station image through the cubic to can improve the accuracy that smog region detected, and then shortened the duration that personnel on duty and dispatch center found the smog hidden danger, from this, can reduce the harm that causes on duty personnel's health.

With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides some embodiments of an emergency call apparatus for a refuse transfer station, which apparatus embodiments correspond to those method embodiments shown in fig. 1, and which apparatus is particularly applicable in various electronic devices.

As shown in fig. 2, an emergency call apparatus 200 for a refuse transfer station according to some embodiments includes: a first determination unit 201, an acquisition unit 202, a detection unit 203, a setup unit 204, an amplification unit 205, a second determination unit 206, a display unit 207, and a call unit 208. Wherein the first determining unit 201 is configured to determine, in response to detecting emergency call information transmitted by the video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device; the acquiring unit 202 is configured to acquire a garbage transfer station image sequence corresponding to the garbage transfer station information, where the garbage transfer station image sequence is acquired by a camera device included in the video call apparatus; the detection unit 203 is configured to perform personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information; the establishing unit 204 is configured to establish a video call with the video call device in response to determining that the person gesture information satisfies a preset gesture condition; the amplifying unit 205 is configured to amplify each received video image of the garbage transfer station in the video image sequence of the garbage transfer station corresponding to the video call, so as to obtain an amplified video image sequence of the garbage transfer station; the second determining unit 206 is configured to determine information to be first-aid calls corresponding to the above-mentioned garbage transfer station information; the display unit 207 is configured to display the amplified waste transfer station video image sequence and the call information to be first-aid on a monitoring video interface; the calling unit 208 is configured to call the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call.

It will be appreciated that the elements described in emergency call device 200 for a waste transfer station correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above for the method are equally applicable to the apparatus 200 and the units contained therein, and are not described in detail herein.

Referring now to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and table data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange form data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer readable signal medium may comprise a tabular data signal propagated in baseband or as part of a carrier wave, with the computer readable program code embodied therein. Such a propagated tabular data signal may take a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital form data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: determining, in response to detecting emergency call information transmitted by a video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device; acquiring a garbage transfer station image sequence corresponding to the garbage transfer station information, wherein the garbage transfer station image sequence is acquired through a camera device included in the video call equipment; performing personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information; establishing a video call with the video call device in response to determining that the personnel posture information meets a preset posture condition; amplifying each garbage transfer station video image in the received garbage transfer station video image sequence corresponding to the video call to obtain an amplified garbage transfer station video image sequence; determining call information to be first-aid corresponding to the garbage transfer station information; displaying the video image sequence of the amplified garbage transfer station and the call information to be first-aid on a monitoring video interface; and calling the emergency call terminal corresponding to the information to be emergency call in response to detecting the confirmation call operation corresponding to the information to be emergency call.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a first determination unit, an acquisition unit, a detection unit, a setup unit, an amplification unit, a second determination unit, a display unit, and a call unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the first determining unit may also be described as "a unit that determines the junk transfer station information corresponding to the above-described emergency call information in response to detecting the emergency call information transmitted by the video telephony device".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. An emergency call method for a refuse transfer station, comprising:

determining, in response to detecting emergency call information sent by a video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device;

acquiring a garbage transfer station image sequence corresponding to the garbage transfer station information, wherein the garbage transfer station image sequence is acquired through a camera device included in the video call equipment;

performing personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information;

establishing a video call with the video call device in response to determining that the person gesture information meets a preset gesture condition;

amplifying each received video image of the garbage transfer station in the video image sequence of the garbage transfer station corresponding to the video call to obtain an amplified video image sequence of the garbage transfer station;

determining call information to be first-aid corresponding to the garbage transfer station information;

displaying the video image sequence of the amplified garbage transfer station and the call information to be first-aid on a monitoring video interface;

And in response to detecting the confirmation calling operation corresponding to the information to be first-aid calling, calling the first-aid calling terminal corresponding to the information to be first-aid calling.

2. The method of claim 1, wherein the determining the spam transfer station information corresponding to the emergency call information in response to detecting the emergency call information sent by the video telephony device comprises:

in response to detecting the emergency call information sent by the video call equipment, determining a preset equipment identifier corresponding to the video call equipment as a target equipment identifier;

performing verification processing on the target equipment identifier to obtain verification information;

and in response to determining that the verification information meets a preset verification condition, determining preset garbage transfer station information corresponding to the preset equipment identifier as garbage transfer station information corresponding to the emergency call information.

3. The method of claim 1, wherein the method further comprises:

responding to the detection of the video call request information sent by the video call equipment, and performing security check processing on the video call request information to obtain security check information;

and establishing a video call with the video call device in response to determining that the security check information meets a preset security check condition and detecting video call permission information corresponding to the video call request information.

4. The method of claim 1, wherein the method further comprises:

acquiring a garbage bin image corresponding to the garbage transfer station information in response to determining that the personnel posture information does not meet the preset posture condition;

carrying out loading detection processing on the garbage bin image to obtain garbage bin loading information;

personnel identification processing is carried out on each garbage transfer station image in the garbage transfer station image sequence, and identification result information is obtained;

determining an emergency call type according to the identification result information and the garbage bin loading information;

in response to determining that the emergency call type does not meet a preset call condition, determining a preset dispatch user type corresponding to the emergency call type as a target dispatch user type;

acquiring a schedulable user information set corresponding to the target scheduling user type;

determining the schedulable user information which meets the preset personnel conditions in the schedulable user information set as scheduling user information;

and calling the dispatching terminal corresponding to the dispatching user information in response to detecting the confirmation calling information corresponding to the dispatching user information.

5. The method of claim 4, wherein the loading detection processing of the garbage bin image to obtain garbage bin loading information comprises:

Performing image segmentation processing on the garbage bin image to obtain a garbage bin segmented image, wherein the garbage bin segmented image comprises each segmented region;

performing garbage detection treatment on the garbage bin image to obtain garbage area information;

determining area information of each divided area corresponding to the divided area for each divided area included in the garbage bin divided image;

generating total area information of the areas according to the determined area information of each area;

determining garbage area information according to the garbage area information and the area information of each area;

generating garbage area occupation ratio information according to the garbage area information and the area total area information;

and generating garbage bin loading information according to the garbage area occupation ratio information.

6. The method of claim 1, wherein the performing a person gesture detection process on the image sequence of the garbage transfer station to obtain person gesture information includes:

inputting the image sequence of the garbage transfer station into a pre-trained human body posture information generation model to obtain human body posture information, wherein the human body posture information generation model comprises an input layer, a feature extraction layer, a joint point information prediction layer and an output layer.

7. An emergency call apparatus for a refuse transfer station, comprising:

a first determining unit configured to determine, in response to detection of emergency call information transmitted by a video telephony device, spam transfer station information corresponding to the emergency call information, wherein the emergency call information is generated by a user through an operation acting on a call component included in the video telephony device;

an acquisition unit configured to acquire a garbage transfer station image sequence corresponding to the garbage transfer station information, wherein the garbage transfer station image sequence is acquired by a camera device included in the video call apparatus;

the detection unit is configured to perform personnel posture detection processing on the image sequence of the garbage transfer station to obtain personnel posture information;

a setting-up unit configured to set up a video call with the video call device in response to determining that the person posture information satisfies a preset posture condition;

the amplifying unit is configured to amplify each received garbage transfer station video image in the garbage transfer station video image sequence corresponding to the video call to obtain an amplified garbage transfer station video image sequence;

A second determining unit configured to determine information to be first-aid calls corresponding to the junk transfer station information;

a display unit configured to display the amplified waste transfer station video image sequence and the call information to be first-aid on a monitoring video interface;

and a calling unit configured to call an emergency call terminal corresponding to the information to be emergency call in response to detecting an acknowledge call operation corresponding to the information to be emergency call.

8. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-6.

9. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-6.