CN116740617A

CN116740617A - Data processing method, device, electronic equipment and storage medium

Info

Publication number: CN116740617A
Application number: CN202310958349.5A
Authority: CN
Inventors: 张晚秋; 张�杰; 李擎; 王舟帆
Original assignee: CRSC Research and Design Institute Group Co Ltd
Current assignee: CRSC Research and Design Institute Group Co Ltd
Priority date: 2023-08-01
Filing date: 2023-08-01
Publication date: 2023-09-12

Abstract

The invention discloses a data processing method, a data processing device, electronic equipment and a storage medium. Relates to the technical field of computer processing. The method comprises the following steps: acquiring physical sign information and behavior data corresponding to at least one object to be monitored and an area image corresponding to at least one area to be monitored; determining passenger flow density of at least one region to be monitored based on information of each pixel point in the region image, and determining a target position and a corresponding position type of an abnormal event when the abnormal event is determined to exist based on sign information, behavior data and/or passenger flow density; and determining a target processing mode to carry out emergency processing on the abnormal event based on the event attribute, the target position and the position type of the abnormal event. The problem that in the prior art, nearby staff handling the abnormal event through the occurrence point of the abnormal event causes poor processing effect and low efficiency of the abnormal event is solved, and the effect of improving timeliness and effectiveness of the abnormal event handling is achieved.

Description

Data processing method, device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of computer processing technologies, and in particular, to a data processing method, a data processing device, an electronic device, and a storage medium.

Background

In recent years, along with the large-scale construction of urban rail transit, the passenger traffic volume is increased, and accordingly, a plurality of potential safety hazards exist, such as occurrence of emergent public health events and other abnormal events, and in order to ensure the safety and health of passengers, how to timely and effectively cope with such events is an important challenge.

At present, an emergency scheme aiming at an abnormal event usually notifies nearby field staff to process when the abnormal event exists, and the method is difficult to deal with the abnormal event in multiple scenes and multiple conditions, and has the problems of poor abnormal event processing effect, low efficiency and the like.

Disclosure of Invention

The invention provides a data processing method, a data processing device, electronic equipment and a storage medium, so as to improve timeliness and effectiveness of processing abnormal events.

According to an aspect of the present invention, there is provided a data processing method comprising:

acquiring physical sign information and behavior data corresponding to at least one object to be monitored, and an area image corresponding to at least one area to be monitored;

determining the passenger flow density of the at least one region to be monitored based on the pixel point information in the region image, and determining the target position and the corresponding position type of the abnormal event when the abnormal event is determined to exist based on the sign information, the behavior data and/or the passenger flow density;

And determining a target processing mode based on the event attribute, the target position and the position type of the abnormal event so as to carry out emergency processing on the abnormal event based on the target processing mode.

According to another aspect of the present invention, there is provided a data processing apparatus comprising:

the data acquisition module is used for acquiring physical sign information and behavior data corresponding to at least one object to be monitored and an area image corresponding to at least one area to be monitored;

the position type determining module is used for determining the passenger flow density of the at least one area to be monitored based on the pixel point information in the area image, and determining the target position and the corresponding position type of the abnormal event when the abnormal event is determined to exist based on the sign information, the behavior data and/or the passenger flow density;

and the target processing mode determining module is used for determining a target processing mode based on the event attribute, the target position and the position type of the abnormal event so as to carry out emergency processing on the abnormal event based on the target processing mode.

According to another aspect of the present invention, there is provided an electronic apparatus including:

At least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method according to any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a data processing method according to any one of the embodiments of the present invention.

According to the technical scheme, physical sign information and behavior data corresponding to at least one object to be monitored and an area image corresponding to at least one area to be monitored are obtained; determining passenger flow density of at least one region to be monitored based on information of each pixel point in the region image, and determining a target position and a corresponding position type of an abnormal event when the abnormal event is determined to exist based on sign information, behavior data and/or passenger flow density; the method comprises the steps of determining a target processing mode based on event attributes, target positions and position types of abnormal events, carrying out emergency processing on the abnormal events based on the target processing mode, solving the problems of poor abnormal event processing effect and low efficiency caused by nearby staff processing the abnormal events through an abnormal event occurrence point in the prior art, realizing emergency processing on the abnormal events based on the target processing mode by collecting various types of data such as sign information and behavior data corresponding to an object to be monitored and region images corresponding to at least one region to be monitored, calculating passenger flow density of the region to be monitored, further monitoring whether the abnormal events exist based on the sign information, the behavior data and/or the passenger flow density, accurately positioning the abnormal event occurrence point when the abnormal events exist, determining the target positions and the corresponding position types, and further calling the target processing mode matched with the event attributes, the target positions and the position types of the abnormal events, so as to achieve the technical effect of improving timeliness and effectiveness of the abnormal event processing based on the target processing mode.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a data processing method according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of an emergency management system according to a second embodiment of the present invention;

FIG. 3 is a flow chart of an emergency management method according to a second embodiment of the present invention;

FIG. 4 is a flow chart of an emergency management method according to a second embodiment of the present invention;

fig. 5 is a schematic structural view of a data processing apparatus according to a third embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device implementing a data processing method according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical scheme of the invention obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.

Example 1

Fig. 1 is a flowchart of a data processing method according to a first embodiment of the present invention, where the method may be performed by a data processing apparatus, and the data processing apparatus may be implemented in hardware and/or software, and the data processing apparatus may be configured in a computing device. As shown in fig. 1, the method includes:

s110, acquiring physical sign information and behavior data corresponding to at least one object to be monitored and an area image corresponding to at least one area to be monitored.

The area to be monitored may be understood as an area where whether an abnormal event occurs or not needs to be monitored, for example, an area where a station entrance, a station hall, a station platform, a carriage, a stair going up and down, a passageway, etc. may be used. The abnormal event may be a sudden public health event. The object to be measured can be a temperature measuring object, or can be a passenger or a staff located in the monitoring area. The sign information may be body temperature. The behavior data may include information on the user's limb movements, facial expressions, wearing articles, etc.

In this embodiment, at least one temperature measuring device deployed in the monitoring area may be used to detect and output physical sign information of each object to be detected, for example, a temperature measuring device may be disposed outside the station, and when a passenger approaches the temperature measuring device actively, the body temperature of the passenger is accurately measured without contact and is used as physical sign information under the condition that the user knows and allows the passenger to determine whether there is a person with abnormal body temperature based on the physical sign information, so that the body temperature of the passenger entering or exiting the station is strictly detected. The behavior recognition device can be deployed in the monitoring area, and the behavior data of the user (namely the object to be tested) in the monitoring area can be collected by the behavior recognition device in real time or periodically so as to determine whether the user with abnormal behavior exists or not based on the behavior data. The image pickup device can be arranged in at least one region to be monitored, and video frame images of the region to be monitored can be acquired in real time or periodically to serve as region images, so that passenger flow information is analyzed based on each pixel point in the region images, and whether the situation of passenger flow abnormality exists is judged. Further, whether an abnormal event exists is judged based on the collected information.

By way of example, the body temperature information of the temperature measurement object can be collected by using the non-contact temperature measurement device, the monitoring cameras of each monitoring area are reasonably arranged according to the area and the structure of each monitoring area, and video images of different areas are collected as area images according to the monitoring cameras.

S120, determining passenger flow density of at least one region to be monitored based on information of each pixel point in the region image, and determining a target position and a corresponding position type of the abnormal event when the abnormal event is determined to exist based on sign information, behavior data and/or passenger flow density.

The pixel information may represent attribute information of pixels, where each pixel is a minimum image unit, and each pixel has a specific position and an assigned color value. Passenger flow density is used to characterize the passenger density in a space, e.g., the greater the passenger flow density, the denser the passenger in the area, the less the passenger flow density, and the sparser the passenger in the area. The target position refers to the occurrence position of the abnormal event. The position types can be divided into various azimuth positions such as east-west, south-north and the like, and can also be region types such as a station entrance, a station hall, a station, a carriage, a stair going up and down and the like, or the inside and the outside of a station.

In this embodiment, after the area image of the area to be monitored is acquired, the passenger flow information, that is, the passenger flow density, of different areas to be monitored may be determined based on the area image information. For example, the number of pixels belonging to the user may be determined by identifying each pixel in the area image, and the number of pixels corresponding to the user and the total number of pixels in the area image may be processed to obtain the passenger flow density. It may be determined whether an abnormal event exists when any of the sign information, the behavior data, and/or the passenger flow density data is acquired. The implementation of determining that an abnormal event exists may be: if the physical sign information is not in the standard physical sign range, the behavior data contains abnormal behavior characteristics and/or the passenger flow density is greater than a preset density threshold value, determining that an abnormal event exists. The standard physical sign range can be a preset normal body temperature range, such as 36.3-37.2 ℃ or 36.5-37.7 ℃. The abnormal behavior characteristics can be characteristic information representing the behaviors such as motion sickness, no mask, falling and the like. In practical application, whether the physical sign information is in the standard physical sign range can be checked, if the physical sign information is not in the standard physical sign range, the fact that the object to be detected corresponding to the physical sign information is a body temperature abnormal user can possibly have risks of affecting the health of other users is indicated, early warning information can be generated at the moment, abnormal prompt can be carried out by temperature measuring equipment, timely abnormal investigation and treatment are facilitated, and the event can be primarily considered to be an abnormal event. Abnormal behavior recognition can be performed based on the behavior data, if abnormal behavior characteristics exist, a user (such as a faint passenger) possibly suffering from abnormal behavior is indicated, early warning information can be generated at the moment, management personnel can be informed to start emergency treatment, and abnormal events are determined to exist. The passenger flow density can be compared with a preset density threshold, if the passenger flow density is larger than the preset density threshold, the situation that space is crowded is indicated to be possible, at the moment, early warning information can be generated, management staff can be informed to start emergency treatment to evacuate passenger flow, and abnormal events are determined to exist. In the case of determining that an abnormal event exists, positioning of the abnormal event can be performed, the occurrence place of the abnormal event can be positioned as a target position, and a position type is determined based on an environment to which the target position belongs, for example, if the target position is located at a platform, the corresponding position type is the platform, if the target position is located at a carriage, the corresponding position type is the carriage, and if the target position is located at a stair, the corresponding position type is the stair.

It should be noted that, when determining the target position of the abnormal event, the determination may be performed based on the positioning module, for example, the positioning module may be a handheld terminal, and the terminal has functions of high-definition video acquisition, voice communication intercom, wireless transmission, personnel positioning, video feedback, local storage, hazard source early warning, and the like. The staff can utilize the handheld terminal managed by a real-name system to accurately position and manage the site of the occurrence of the abnormal event, and can feed back the site condition to the center in real time. The positioning module may also be a background device based on personnel positioning technology, for example, if it is determined that an abnormal event exists based on the sign information, the location of the temperature measurement device of the sign information may be taken as a target location, and if it is determined that an abnormal event exists based on the area image, the target location may be positioned from the area image. If the abnormal event exists based on the behavior data, the positioning module can be fused with an abnormal behavior recognition technology to quickly position the position of the abnormal person recognized by the abnormal behavior recognition equipment of the person as a target position.

It should be further noted that the area and the spatial structure of different monitoring areas are different, and the two monitoring areas may have different passenger flow densities due to the different spatial structures when the two monitoring areas have the same area and the same passenger flow volume. In order to determine the passenger flow density accurately and further improve the detection accuracy of abnormal events, when determining the passenger flow density of at least one area to be monitored based on the information of each pixel point in the area image, each area to be monitored can be divided, for example, the passenger flow density of two areas can be calculated respectively in the area to be monitored 1 including the area of the station hall of the platform and the area of the corridor, and then the passenger flow density of the area to be monitored is calculated based on the sum of the two passenger flow densities.

Optionally, determining the passenger flow density of at least one area to be monitored based on the information of each pixel point in the area image includes: for each region to be monitored, carrying out region division on the region image of the current region to be monitored to obtain a region sub-image of at least one region to be monitored corresponding to the current region to be monitored; determining passenger flow sub-density of a sub-area to be monitored corresponding to the regional sub-image based on the information of each pixel point in the regional sub-image; and determining the passenger flow density of the current area to be monitored based on the passenger flow density of at least one sub-area to be monitored corresponding to the current area to be monitored.

It should be noted that the manner of determining each area to be monitored is the same, and any area to be monitored may be used as the current area to be monitored.

In this embodiment, an image recognition technology may be used to perform recognition processing on an area image of a current area to be monitored, so as to divide the area image into areas, for example, a seat area and a corridor area in the area to be monitored may be recognized to wait for the sub-areas to be monitored, and accordingly, area sub-images of the sub-areas to be monitored are obtained. Each regional sub-image comprises a plurality of pixel points, when the passenger flow sub-density of the sub-region to be monitored corresponding to the regional sub-image is determined based on the pixel point information in the regional sub-image, the total pixel point number can be determined based on the pixel point information in the regional sub-image, target detection is carried out on the regional sub-image, and the sub-pixel point number corresponding to the detection target is determined; and determining the passenger flow sub-density of the sub-area to be monitored, which corresponds to the sub-image of the area, based on the total pixel number and the sub-pixel number. Wherein the detection target may be a user. Specifically, target detection can be performed on each region sub-image respectively, the number of sub-pixels corresponding to the detection target is determined, the number of sub-pixels of the region sub-image and the total number of pixels can be processed as a quotient, the quotient can be used as the passenger flow sub-density of the sub-region to be monitored to which the region sub-image belongs, and accordingly the passenger flow sub-density of each sub-region to be monitored can be obtained. Further, the passenger flow density of at least one sub-area to be monitored corresponding to the current area to be monitored can be processed as an average value, and the average value can be used as the passenger flow density of the current area to be monitored. The passenger flow density of at least one sub-area to be monitored corresponding to the current area to be monitored can be multiplied by the corresponding weight value to obtain a plurality of processed passenger flow densities, and the average value of the plurality of processed passenger flow densities can be used as the passenger flow density of the current area to be monitored.

For example, assuming that the area to be monitored is a target car, a monitoring camera may be reasonably arranged in the target car, a monitoring image in the target car is acquired by using the camera, the monitoring image is subjected to area segmentation, and a boundary area (the boundary area is an area excluding passengers), a seat area, a corridor area and the like are determined as the sub-area to be monitored. Seat passenger targets may be extracted from the seat area and aisle passenger targets may be extracted from the aisle area. Determining a passenger density of the seating area based on a ratio of a number of pixels of the seating passenger target to a total pixel of the seating area; determining a corridor area passenger density based on a ratio of a number of pixels of the corridor passenger target to a total pixel of the corridor area; and finally, determining the passenger flow density in the target carriage according to the passenger density in the seat area and the passenger density in the corridor area.

S130, determining a target processing mode based on the event attribute, the target position and the position type of the abnormal event, so as to carry out emergency processing on the abnormal event based on the target processing mode.

The event attribute may be a type of event, such as abnormal body temperature, abnormal behavior, abnormal passenger flow, and the like. The target processing mode refers to a mode method for processing the abnormal event, such as event attribute, target position and position type, treatment measure, responsible user and processing flow of the abnormal event, and the like. The treatment measure may be an execution method of handling the abnormal event, for example: the system can be used for passenger flow evacuation, line adjustment, sterilization in a station, personnel isolation, message release and the like. The responsible user may be an execution object that handles the exception event, such as crew a, crew B, or train driver C.

In this embodiment, after determining the target location and the location type, the manner of processing the abnormal event corresponding to the event attribute, the target location and the location type may be determined as the target processing manner in combination with the event attribute of the abnormal event, and the target processing manner may be sent to the intelligent terminal device, so that the terminal user may perform emergency processing on the abnormal event based on the target processing manner.

It should be noted that, the processing modes for processing different abnormal events may be preconfigured, and the corresponding processing modes may be configured based on the event attribute, the occurrence position, the position type and other information of the abnormal event in the actual scene, so as to timely and effectively obtain the target processing mode matched with the event attribute, the target position and the position type when the abnormal event occurs, thereby improving the timeliness and the accuracy of processing the abnormal event.

Optionally, determining the target processing mode based on the event attribute, the target position and the position type of the abnormal event includes: and retrieving a target processing mode corresponding to the event attribute, the target position and the position type from a pre-configured processing mode list.

The processing manner list may include a plurality of processing manners to be selected. The target processing mode comprises at least one level of event processing party, execution users under the event processing party, corresponding execution modes and a line adjustment scheme. The hierarchy may be a management hierarchy. The event handler may be a user, a unit, or a department of event processing, for example, may be divided into an overall command center, a secondary command center, a member execution department, and the like according to a management hierarchy. The execution mode can be a passenger flow evacuation mode, an environment killing mode, a propaganda mode and the like.

In this embodiment, after determining the event attribute, the target position and the position type of the abnormal event, a target processing manner matched with the event attribute, the target position and the position type may be retrieved from a pre-configured processing manner list, for example, the target processing manner corresponding to the event attribute a and the position type B is C, and the target processing manner corresponding to the event attribute a, the target position D and the position type T is E.

The management responsibilities of the multiple event processing parties can be divided, the regional rail transit can be generally managed by the event processing party 1 (such as an overall command center), the emergency command work of the rail transit operation emergency is responsible, and the unified command is implemented for the emergency work of the rail transit operation emergency of all systems. The event processor 2 (such as a secondary command center) at the next level of the event processor 1 can assist the event processor 1 in making emergency work for the rail transit operation emergency. For example, the responsibilities of event handler 1 in handling public health incidents may include: grasping real-time dynamic state of sudden public health events, and timely propaganda and summarizing the public health events; the policy measures and the guidance opinion for coping with the public health emergency of the rail transit are researched and formulated by combining the serious condition of the public health event and the rail transit operation characteristics; the system is responsible for commanding specific coping work of emergent public health events of rail transit of each system; the construction and management of emergency treatment teams are responsible; timely reporting the progress of the treatment to the previous level, and monitoring and supervising the treatment condition of the next level on the public health event. The role of event handler 2 in handling public health incidents may include: the system is responsible for unified command and coordination of execution work of rail transit sanitation emergencies; is responsible for starting an emergency plan (namely a target processing mode), commanding and coordinating emergency actions; the target processing mode is refined by combining the emergency plan, the response degree of the abnormal event and the rail operation characteristics, so that each processing flow and each measure are visualized and digitized; and commanding the members of the next hierarchy to conduct emergency work, and the like. The role of event handler 3 in handling public health incidents may include: site disposal, environment, information propaganda, logistics support and the like. Such as an exception event handling task responsible for executing a last-level down; specific measures for emergency treatment are proposed; the staff is responsible for dispatching to form a team of division work and cooperation, so that the work of on-site organization, coordination, command, post-processing and the like of emergency treatment, evacuation and rescue of users are realized; determining to start a corresponding emergency treatment scheme according to the development condition of the event; the sterilizing device is responsible for sterilizing places and facility equipment (such as gates, escalators, elevators and the like) with abnormal events, and the sterilizing frequency can be uniformly configured according to abnormal grades and passenger flow. Through the fine division of the management hierarchy, at least one hierarchy of event processing party, execution users under the event processing party and corresponding execution modes are determined, so that homogeneous personnel configuration can be effectively performed in time when an abnormal event occurs. The line adjustment scheme of the in-out station can be configured in advance, for example, when the train operation line is determined to be required to be adjusted, the train operation schedule can be notified to be adjusted, specific adjustment information is issued to a specific station, after the station receives the adjustment information, the station transmits the information to passengers through an effective propaganda channel of the station and an intelligent mobile terminal, if an abnormal user is listed as a person with an abnormality finally, the historical action track of the person in the rail transit system is determined in time, and the information is reported to an upper event manager layer by layer.

For example, when the emergency treatment is performed on the abnormal event based on the target treatment mode, the bus taking guiding management can be performed, for example, the electronic means is adopted to transmit the recognition result of the passenger flow density in each area in the station and the passenger flow density in the inbound train carriage to the station PIS (passenger information system ) and the broadcasting system in real time, the information is displayed based on the PIS, the information is broadcasted based on the broadcasting system, the passengers are guided to be in dispersed waiting, and the passenger flow density in each area in the station and the carriage full rate are reasonably controlled. The passenger flow density of the station can be transmitted to the mobile phone APP related to the passenger through the data transmission technology, so that the passenger can be used as a reference when selecting a riding path, the passenger flow density in the carriage can be transmitted to the passenger, the passenger is guided to autonomously disperse waiting, the passenger is prevented from gathering, and the safety is improved.

In order to improve the effectiveness and timeliness of processing the abnormal event, after determining that the abnormal event exists based on the sign information, the behavior data and/or the passenger flow density, generating early warning prompt information corresponding to the abnormal event; and broadcasting the early warning prompt information based on early warning equipment associated with the abnormal event.

Specifically, if an abnormal event exists, early warning prompt information corresponding to the abnormal event can be generated, for example, if the body temperature of the user is abnormal, the early warning device can be temperature measuring device, and the temperature measuring device can broadcast the early warning prompt information. If the user's behavior is abnormal, the early warning device may be a behavior recognition device or a broadcasting device (such as a voice broadcasting device) to broadcast the early warning prompt information. If the passenger flow is abnormal, the early warning device can be passenger flow analysis device or broadcasting device to broadcast the early warning prompt information.

In this embodiment, after determining that there is a target position of an abnormal event, it further includes: determining an early warning display position in a management interface, which is matched with the target position; and displaying the abnormal event at the early warning display position.

Specifically, a map corresponding to the monitoring area may be preconfigured and displayed on the management interface, if an abnormal event exists, an early warning display position matched with the target position on the map may be determined, and the abnormal event may be displayed at the early warning display position, for example, may be displayed in the form of an icon, a logo frame, a highlight point, and the like. For example, the target location may be converted to an electronic signal and displayed on a management interface to remain consistent with the presence information. When an abnormal event occurs, the system can quickly locate the staff of the corresponding work class, and the manager visually selects the field staff to quickly process the abnormal event occurring at the target position, so that timeliness of processing the abnormal event is improved.

Example two

As an alternative embodiment of the foregoing embodiment, a specific application scenario example is given to make the technical solution of the embodiment of the present invention further clear to those skilled in the art. In particular, reference may be made to the following details.

Referring to fig. 2, the structure of the emergency management system may be shown in fig. 2, and the technical solution provided in this embodiment may be implemented by the emergency management system, where the emergency management system includes a contactless automatic alarm module for temperature measurement and body temperature abnormality, an abnormal behavior recognition module, a passenger flow density recognition module, an abnormality positioning module, and an emergency plan module. The automatic alarming module is used for carrying out non-contact accurate temperature measurement on the object to be measured, collecting physical sign information of the object to be measured, automatically alarming when a person with abnormal body temperature is found based on the physical sign information, and timely carrying out epidemic situation investigation and treatment. The automatic alarming module for non-contact temperature measurement and abnormal body temperature can be configured in automatic alarming equipment for non-contact temperature measurement and abnormal body temperature, the equipment can realize physical isolation between a detection person and a detection object, reduce the risk of the influence of the staff, and strictly detect the body temperature of passengers who control the entrance and exit of the station, thereby realizing the monitoring and response of the assistance to abnormal events in various scenes. The abnormal behavior recognition module is used for recognizing passengers who do not take protective measures or do not take protective measures in place before entering the station, such as people who do not take mask to enter the station, and recognizing abnormal behavior users in the station. For example, passengers in the station are in motion, the abnormal behavior recognition module can automatically recognize and early warn, and workers can arrive at the scene for emergency treatment at the first time, so that event expansion is avoided. The abnormal behavior recognition module can be configured in the abnormal behavior recognition equipment, and can recognize passengers with abnormal behaviors in the train and timely inform staff to start the emergency treatment program. The passenger flow density recognition module divides the station space into monitoring areas such as an entrance, a platform layer, an up-down stair, a station hall layer (the station hall layer is divided into blocky areas according to the carriage waiting positions in sequence) and the like, and the monitoring cameras are reasonably arranged in the monitoring areas according to the area and the structure of each monitoring area. And acquiring passenger flow information of different monitoring areas according to the video image information of different areas acquired by the monitoring camera. For example, a monitoring image (i.e., a region image) in a target vehicle cabin is acquired by reasonably arranging monitoring cameras in the vehicle cabin, and the monitoring image is subjected to region segmentation to determine region sub-images such as a boundary region (the boundary region is a region excluding passengers), a seat region, and a corridor region. Seat passenger targets are extracted from the seat area and aisle passenger targets are extracted from the aisle area. Determining the passenger flow density of the seat area according to the ratio of the number of pixels of the seat passenger target to the total pixels of the seat area; determining a passenger flow density of the corridor area according to a ratio of the number of pixels of the corridor passenger target to the total pixels of the corridor area; and finally, determining the passenger flow density in the target carriage according to the passenger flow density in the seat area and the passenger flow density in the corridor area. The presence of an abnormal event may be determined when the passenger flow density is greater than a preset density threshold. In order to further clarify the technical solution of the embodiment of the present invention, referring to fig. 3, fig. 3 may be represented as a flow diagram of an emergency management method, where whether an abnormal event exists may be identified by a contactless automatic temperature measurement and body temperature abnormality alarm module, an abnormal behavior identification module, or a passenger flow density identification module, if the contactless automatic temperature measurement and body temperature abnormality alarm module identifies that a body temperature abnormality exists, or the abnormal behavior identification module identifies that an abnormal behavior exists, the abnormal positioning module may position an occurrence position (i.e., a target position) of the abnormal event and send the occurrence position to the emergency plan module, trigger the emergency plan module, start a station abnormal event processing procedure, and the emergency plan module determines an emergency scene according to a position type of the target position, determines whether to execute a station emergency organization procedure or a passenger traffic emergency organization procedure, and selects a corresponding emergency plan (i.e., a target processing mode) after determining the emergency organization procedure. If the passenger flow density recognition module recognizes that the large passenger flow condition exists, the abnormal event occurrence position is positioned based on the abnormal positioning module, and the occurrence position is sent to on-site staff, so that a real-time evacuation strategy is realized.

Referring to fig. 4, fig. 4 may be represented as a schematic flow diagram of an emergency management method, and an exemplary rail transit public health event (i.e., an abnormal event) emergency organization flow may be divided into two large areas based on an occurrence position, which are an emergency organization flow in a station and an emergency organization flow in a driving process, and a specific implementation manner of emergency management may be that, before the public health event occurs, a public health event may be monitored based on a contactless temperature measurement and an abnormal early warning, a personnel abnormal behavior recognition technology, a passenger flow density recognition technology and a personnel positioning technology in public health event technology application, and during the period when the public health event is monitored, passenger in-and-out station streamline management, passenger abnormal body temperature detection and early warning, passenger abnormal behavior recognition and early warning, inbound abnormal personnel recognition and early warning, passenger protection safety propaganda management and daily emergency management in a station environment may be performed based on the in-station emergency organization flow. When the abnormal body temperature abnormal condition of the passengers, the abnormal behavior abnormal condition of the passengers or the abnormal condition of the arrival abnormal personnel are determined, the emergency processing flow of the station is started, and after the emergency is ended, the daily management is restored. The system can also be used for monitoring and predicting the passenger flow, adjusting the train running scheme, identifying and early warning the abnormal behavior of the passengers based on the emergency organization flow in the running process, starting the train emergency processing flow when the abnormal behavior of the passengers on the train is determined, and recovering daily management after the emergency is finished.

Example III

Fig. 5 is a schematic structural diagram of a data processing apparatus according to a third embodiment of the present invention. As shown in fig. 5, the apparatus includes: a data acquisition module 510, a location type determination module 520, and a target processing mode determination module 530.

The data acquisition module 510 is configured to acquire sign information and behavior data corresponding to at least one object to be monitored, and an area image corresponding to at least one area to be monitored; the location type determining module 520 is configured to determine, based on the pixel point information in the area image, a passenger flow density of the at least one area to be monitored, and determine, when an abnormal event exists, a target location and a corresponding location type of the abnormal event, based on the sign information, the behavior data, and/or the passenger flow density; a target processing mode determining module 530, configured to determine a target processing mode based on the event attribute of the abnormal event, the target position and the position type, so as to perform emergency processing on the abnormal event based on the target processing mode.

On the basis of the above device, optionally, the location type determining module 520 includes an area sub-image determining unit, a passenger flow sub-density determining unit, and a passenger flow density determining unit.

The regional sub-image determining unit is used for carrying out regional division on the regional image of the current region to be monitored for each region to be monitored to obtain the regional sub-image of at least one region to be monitored corresponding to the current region to be monitored;

the passenger flow sub-density determining unit is used for determining the passenger flow sub-density of the sub-area to be monitored corresponding to the regional sub-image based on the information of each pixel point in the regional sub-image;

and the passenger flow density determining unit is used for determining the passenger flow density of the current area to be monitored based on the passenger flow density of at least one sub-area to be monitored corresponding to the current area to be monitored.

On the basis of the device, the passenger flow sub-density determining unit comprises a pixel number determining sub-unit and a passenger flow sub-density determining sub-unit.

The pixel point number determining subunit is used for determining the total pixel point number based on the pixel point information in the regional sub-image, performing target detection on the regional sub-image and determining the sub-pixel point number corresponding to the detection target;

And the passenger flow sub-density determining subunit is used for determining the passenger flow sub-density of the sub-area to be monitored corresponding to the area sub-image based on the total pixel number and the sub-pixel number.

On the basis of the device, optionally, the device further comprises an abnormal event determining module, wherein the abnormal event determining module is used for determining that an abnormal event exists if the physical sign information is not in the standard physical sign range, the behavior data contains abnormal behavior characteristics and/or the passenger flow density is greater than a preset density threshold value.

On the basis of the above device, optionally, a target processing mode determining module 530 is specifically configured to invoke, from a preconfigured processing mode list, a target processing mode corresponding to the event attribute, the target location and the location type;

the target processing mode comprises at least one level of event processing party, an execution user under the event processing party, a corresponding execution mode and a line adjustment scheme.

On the basis of the device, optionally, the device further comprises an early warning prompt module, wherein the early warning prompt module comprises an early warning prompt information determining unit and a broadcasting unit.

The early warning prompt information determining unit is used for generating early warning prompt information corresponding to the abnormal event;

and the broadcasting unit is used for broadcasting the early warning prompt information based on early warning equipment associated with the abnormal event.

On the basis of the device, optionally, the device further comprises a position display module, wherein the position display module comprises an early warning display position determining unit and a position display unit.

The early warning display position determining unit is used for determining an early warning display position in a management interface, which is matched with the target position;

and the position display unit is used for displaying the abnormal event at the early warning display position.

The data processing device provided by the embodiment of the invention can execute the data processing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example IV

Fig. 6 is a schematic structural diagram of an electronic device implementing a data processing method according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as data processing methods.

In some embodiments, the data processing method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. One or more of the steps of the data processing method described above may be performed when the computer program is loaded into RAM 13 and executed by processor 11. Alternatively, in other embodiments, the processor 11 may be configured to perform the data processing method in any other suitable way (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method of data processing, comprising:

2. The method of claim 1, wherein the determining the passenger flow density of the at least one area to be monitored based on the pixel point information in the area image comprises:

for each region to be monitored, carrying out region division on a region image of a current region to be monitored to obtain a region sub-image of at least one region to be monitored corresponding to the current region to be monitored;

determining passenger flow sub-density of a sub-area to be monitored corresponding to the area sub-image based on the information of each pixel point in the area sub-image;

and determining the passenger flow density of the current area to be monitored based on the passenger flow sub-density of at least one sub-area to be monitored corresponding to the current area to be monitored.

3. The method of claim 2, wherein determining the passenger flow sub-density of the sub-area to be monitored corresponding to the area sub-image based on the pixel point information in the area sub-image comprises:

Determining the total pixel point number based on the pixel point information in the regional sub-image, performing target detection on the regional sub-image, and determining the sub-pixel point number corresponding to the detection target;

and determining the passenger flow sub-density of the sub-area to be monitored corresponding to the area sub-image based on the total pixel number and the sub-pixel number.

4. The method of claim 1, wherein determining that an exception event exists comprises:

if the physical sign information is not in the standard physical sign range, the behavior data contains abnormal behavior characteristics and/or the passenger flow density is greater than a preset density threshold value, determining that an abnormal event exists.

5. The method of claim 1, wherein the determining a target treatment based on the event attribute, the target location, and the location type of the anomaly event comprises:

retrieving a target processing mode corresponding to the event attribute, the target position and the position type from a pre-configured processing mode list;

6. The method of claim 1, wherein after determining that an abnormal event exists based on the sign information, behavior data, and/or passenger flow density, further comprising:

generating early warning prompt information corresponding to the abnormal event;

and broadcasting the early warning prompt information based on early warning equipment associated with the abnormal event.

7. The method of claim 1, further comprising, after determining the target location at which the anomaly exists:

determining an early warning display position in a management interface, which is matched with the target position;

and displaying the abnormal event at the early warning display position.

8. A data processing apparatus, comprising:

9. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the data processing method of any one of claims 1-7 when executed.