CN116453375A

CN116453375A - Urban road dangerous data monitoring management method and device, electronic equipment and medium

Info

Publication number: CN116453375A
Application number: CN202310317366.0A
Authority: CN
Inventors: 白志云; 白志强; 麻潇东
Original assignee: Shanxi Xiaoyun Electronic Technology Co ltd
Current assignee: Shanxi Xiaoyun Electronic Technology Co ltd
Priority date: 2023-03-28
Filing date: 2023-03-28
Publication date: 2023-07-18

Abstract

The application relates to a method, a device, electronic equipment and a medium for monitoring and managing urban road dangerous data. Monitoring equipment information is acquired first, and accessible equipment is determined according to the monitoring equipment information. And determining a current shooting mode and a target monitoring range according to the set position of the accessible equipment and the urban road monitoring range, and controlling the accessible equipment to shoot according to the current shooting mode to obtain monitoring content data. And determining the current moving target and the corresponding moving speed according to the monitoring content data. Acquiring weather information and a preset dangerous influence range, and determining a mobile dangerous coefficient of a current mobile target according to the weather information, the set position, the preset dangerous influence range, the preset dangerous rule and the mobile speed. And acquiring warning equipment information and receiving equipment information of the current moving target on the urban road. And determining countermeasures corresponding to the accidents according to the warning equipment information, the receiving equipment information and the mobile danger coefficient.

Description

Urban road dangerous data monitoring management method and device, electronic equipment and medium

Technical Field

The application relates to the technical field of road monitoring, in particular to a method, a device, electronic equipment and a medium for monitoring and managing urban road dangerous data.

Background

With the development of society, the living standard of people in China is gradually improved, and the number of motor vehicles running on urban roads is also continuously increased. Meanwhile, when the motor vehicle runs on the urban road, accidents frequently occur due to factors such as weather conditions, road surface conditions, running traffic flow and the like, and the life and property safety of people is threatened to a greater extent or a lesser extent. Therefore, the method is particularly important to monitor and early warn dangerous situations on urban roads and ensure the running safety of the urban roads as much as possible.

The data monitoring system can process the image acquired by the monitoring camera into a digital signal through software and hardware, and transmits the digital signal to a computer for processing. The data monitoring system is currently used for monitoring urban roads. Most of the data monitoring systems in the related art can be used for shooting running vehicles, judging and recording overspeed, running red light and the like, and avoiding some dangerous situations on urban roads. However, the data monitored by the current data monitoring system is not comprehensive enough, so that more accurate prediction of the unexpected situation is difficult to be performed based on the data, and timely coping with the unexpected situation is not possible.

Disclosure of Invention

The application provides a method, a device, electronic equipment and a medium for monitoring and managing urban road dangerous data.

In a first aspect, the present application provides a method for monitoring and managing urban road hazard data, which is applied to a system for monitoring and managing urban road hazard data; the urban road dangerous data monitoring management system comprises monitoring equipment and data management equipment, wherein the monitoring equipment and the data management equipment perform information interaction; the method is performed by the data management device and includes:

acquiring monitoring equipment information, and determining accessible equipment according to the monitoring equipment information, wherein the monitoring equipment information comprises a setting position corresponding to the accessible equipment and a corresponding urban road monitoring range;

determining a current shooting mode of the accessible equipment and a target monitoring range corresponding to the current shooting mode according to the setting position of the accessible equipment and the urban road monitoring range, and controlling the accessible equipment to shoot the target monitoring range according to the current shooting mode to obtain corresponding monitoring content data;

determining a current moving target in the target monitoring range and the moving speed of the current moving target according to the monitoring content data;

Acquiring weather information and a preset dangerous influence range, and determining a mobile dangerous coefficient of the current mobile target according to the weather information, the setting position of the accessible equipment, the preset dangerous influence range, a preset dangerous rule and the mobile speed so as to predict a corresponding accident;

acquiring warning equipment information and receiving equipment information of the current moving target on an urban road corresponding to the accessible equipment;

and determining countermeasures of accidents corresponding to the mobile danger coefficient according to the warning equipment information, the receiving equipment information and the mobile danger coefficient.

By adopting the technical scheme, which of the accessible devices can be determined according to the acquired monitoring device information, wherein the monitoring device information can comprise the setting position of the accessible device and the corresponding urban road monitoring range. According to the setting position of the accessible equipment and the corresponding urban road monitoring range, the current shooting mode of the accessible equipment and the target monitoring range corresponding to the current shooting mode can be determined for shooting, and the obtained monitoring content data can cover the urban road as much as possible. By analyzing the monitored content data, it is possible to determine which of the current moving targets are within the target monitoring range and the moving speed of the current moving target. And then weather information and a preset dangerous influence range can be acquired, and the mobile dangerous coefficient of the current mobile target is determined based on the weather information and the preset dangerous influence range by combining the setting position of the accessible equipment, the preset dangerous rule and the mobile speed, so that the mobile dangerous coefficient corresponding to a plurality of data which possibly have unexpected situations is obtained. And acquiring warning equipment information and receiving equipment information of a moving target on the urban road corresponding to the accessible equipment, and then predicting possible accidents by combining the moving danger coefficient, so as to determine countermeasures of the possible accidents under the current condition. The prediction capability for the unexpected situation is improved, so that timely treatment can be carried out when the unexpected situation occurs.

Optionally, the method further comprises:

determining an urban road to which the accessible equipment belongs, and determining the whole accessible equipment on the urban road;

determining a shooting blind area on the urban road according to the monitoring equipment information of the integral accessible equipment;

the determining, according to the setting position of the accessible device and the urban road monitoring range, the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode includes:

determining a default shooting mode of the accessible equipment according to the setting position of the accessible equipment;

according to the shooting blind area and the urban road monitoring range, the default shooting mode is adjusted to obtain the current shooting mode of the accessible equipment;

and determining a corresponding target monitoring range according to the current shooting mode.

Through adopting above-mentioned technical scheme, can confirm corresponding shooting blind area after having confirmed the urban road that can access equipment the default shooting mode of accessible equipment is adjusted based on shooting blind area, and the current shooting mode that obtains this moment is more suitable for the work that can access equipment carries out urban road control, and the data that the monitoring content data that the while shooting was based on at present shooting covered is also wider, is more favorable to the prediction of the unexpected accident that probably takes place.

Optionally, the monitoring device information further includes shooting definition; the method further comprises the steps of:

acquiring shooting definition of the monitoring content data;

the step of determining the current moving target and the moving speed of the current moving target in the target monitoring range according to the monitoring content data comprises the following steps:

according to the shooting definition, performing definition processing on the monitoring content data;

analyzing the monitor content data after the definition processing, and determining the current moving target in the target monitoring range;

and extracting each frame of image from the monitoring content data to perform image analysis, and analyzing to obtain the moving speed of the current moving target.

By adopting the technical scheme, the definition processing can be carried out according to the shooting definition of the monitored content data, and the analysis of the current moving target and the corresponding moving speed is carried out based on the monitored content data after the definition processing, so that the analysis result is more accurate and reliable.

Optionally, the obtaining weather information and a preset risk influence range, and determining a mobile risk coefficient of the current mobile target according to the weather information, the set position of the accessible device, the preset risk influence range, a preset risk rule, and the mobile speed, so as to predict a corresponding accident, includes:

Acquiring weather information and a preset dangerous influence range, wherein the preset dangerous influence range comprises a dangerous range area and dangerous information;

matching the dangerous range area with the setting position of the accessible equipment, and determining a sub-dangerous influence range corresponding to the setting position, wherein the preset dangerous influence range comprises a plurality of sub-dangerous influence ranges;

analyzing the danger information included in the sub-danger influence range to obtain an abnormal road area and default danger factors in the sub-danger influence range;

updating the default risk factors according to the weather information, and determining actual risk factors;

and determining the moving risk coefficient of the current moving target under the moving speed, the abnormal road area and the actual risk factors based on a preset risk rule so as to predict corresponding accidents.

By adopting the technical scheme, based on the danger information, the abnormal road area and the default danger factor in the sub-danger influence range are obtained, and then the default danger factor is updated by combining with the weather information, so that more factors which are covered by the updated actual danger factor and possibly influence the occurrence of the unexpected situation are provided, and the prediction result of the accident when the unexpected situation occurs is more accurate.

Optionally, the method further comprises:

receiving a monitoring tracking instruction of an associated department, wherein the monitoring tracking instruction carries historical position information of a monitored person;

predicting an optional moving route of the monitored person according to the historical position information;

acquiring a shooting blind area on the selectable mobile route, position information corresponding to the shooting blind area and corresponding road condition information;

classifying the selectable moving routes according to the position information and the road condition information to obtain classification results, wherein the classification results comprise selectable moving routes of a quick driving-away type and selectable moving routes of a escaping snapshot type;

the classification result is sent to the association department, and a feedback instruction of the association department is received, wherein the feedback instruction carries selection information of an optional moving route;

determining corresponding accessible equipment according to the selection information;

and controlling the accessible equipment to monitor the optional moving route corresponding to the feedback instruction in real time, and sending the generated monitoring data to the association department.

By adopting the technical scheme, the optional moving route of the appointed monitored person is predicted according to the tracking instruction of the association department, and then the selected optional moving route can be monitored in real time according to the requirement of the association department. The use efficiency of the data monitoring management system in monitoring and tracking is improved, meanwhile, accidents can be possibly caused by monitored persons needing to be tracked and monitored by related departments, so that the monitored persons can be timely processed when the monitored persons happen accidents on urban roads in real time, and the threats of life and property safety brought to other moving targets are reduced.

Optionally, the method further comprises:

judging whether the monitoring content data in the target monitoring range is abnormal stop data or not, wherein the abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving in a preset emergency brake time range;

if yes, analyzing the moving target condition and the environment condition in the target monitoring range according to the abnormal stop data, and determining the current accident level according to the moving target condition and the environment condition;

judging whether the current accident level is a high-risk level, if so, acquiring the accurate position of the current accident and detecting dangerous handling personnel in the target monitoring range;

generating a rescue prompt according to the moving target condition and the environment condition;

and sending the rescue prompt and the accurate position to associated equipment of the dangerous handling personnel.

By adopting the technical scheme, the receiving monitoring content data can be detected in real time and analyzed, further analysis is carried out after the abnormal stop data is determined, the current accident level is determined, and if the current accident level is high, dangerous handling personnel in the target monitoring range can be timely obtained for timely rescue, so that the life and property loss of the current moving target is reduced as much as possible.

Optionally, the generating a rescue hint according to the moving target condition and the environmental condition includes:

determining first accident information according to the moving target condition, wherein the first accident information carries person injury information at the accurate position of the current accident;

determining second accident information according to the environmental conditions, wherein the second accident information carries environmental damage information at the accurate position of the current accident;

and generating a rescue prompt according to the figure injury information and the environment injury information.

By adopting the technical scheme, the moving target condition and the environment condition can be specifically analyzed, and the first accident information carrying the figure injury information and the second accident information carrying the environment injury information are further obtained. By combining the figure injury information and the environment injury information, a specific rescue prompt is generated, so that the content in the rescue prompt is richer and more specific, and dangerous handling personnel can quickly respond to rescue tools and the like to be carried when receiving the rescue prompt, rescue is carried out in the first time, and the life and property loss of the current moving target is further reduced.

In a second aspect, the present application provides an urban road hazard data monitoring and managing device, which is applied to an urban road hazard data monitoring and managing system; the urban road dangerous data monitoring management system comprises monitoring equipment and an urban road dangerous data monitoring management device, wherein the monitoring equipment and the urban road dangerous data monitoring management device conduct information interaction; the method is executed by the urban road hazard data monitoring and managing device and comprises the following steps:

The device comprises an accessible device determining module, a monitoring device determining module and a control module, wherein the accessible device determining module is used for acquiring monitoring device information and determining accessible devices according to the monitoring device information, and the monitoring device information comprises corresponding setting positions of the accessible devices and corresponding urban road monitoring ranges;

the monitoring content data determining module is used for determining a current shooting mode of the accessible equipment and a target monitoring range corresponding to the current shooting mode according to the setting position of the accessible equipment and the urban road monitoring range, and controlling the accessible equipment to shoot the target monitoring range according to the current shooting mode to obtain corresponding monitoring content data;

the monitoring content data analysis module is used for determining a current moving target in the target monitoring range and the moving speed of the current moving target according to the monitoring content data;

the mobile risk coefficient determining module is used for acquiring weather information and a preset risk influence range, and determining a mobile risk coefficient of the current mobile target according to the weather information, the setting position of the accessible equipment, the preset risk influence range, a preset risk rule and the mobile speed so as to predict a corresponding accident;

The information acquisition module is used for acquiring warning equipment information on the urban road corresponding to the accessible equipment and receiving equipment information of the current moving target;

and the countermeasure determining module is used for determining countermeasures of accidents corresponding to the moving danger coefficient according to the warning equipment information, the receiving equipment information and the moving danger coefficient.

Optionally, the urban road dangerous data monitoring management device further includes a shooting blind area determining module, configured to:

the monitoring content data determining module is specifically configured to:

Optionally, the monitoring device information further includes shooting definition; the urban road dangerous data monitoring management device further comprises a shooting definition acquisition module for:

Acquiring shooting definition of the monitoring content data;

the monitoring content data analysis module is specifically used for:

analyzing the clear monitoring content data and determining a current moving target in the urban road monitoring range;

Optionally, the mobile risk coefficient determining module is specifically configured to:

matching the dangerous range area with the setting position of the accessible equipment, and determining a dangerous influence range corresponding to the setting position, wherein the preset dangerous influence range comprises a plurality of dangerous influence ranges;

analyzing dangerous information included in the dangerous influence range to obtain an abnormal road area and default dangerous factors in the dangerous influence range;

Optionally, the urban road hazard data monitoring and managing device further comprises a monitoring and tracking module for:

Optionally, the urban road hazard data monitoring and managing device further includes a rescue hint generating module, configured to:

judging whether the current accident level is a high-risk level, and if so, acquiring the accurate position of the current accident and detecting dangerous handling personnel in the target monitoring range;

Optionally, the rescue hint generation module is specifically configured to:

In a third aspect, the present application provides an electronic device, comprising: a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method of the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and performing the method of the first aspect.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

FIG. 2 is a flowchart of a method for monitoring and managing urban road hazard data according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an urban road hazard data monitoring and managing device according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.

As the number of vehicles traveling on urban roads increases, driving accidents also occur more frequently. Many urban road areas can use a data monitoring system to monitor the running of vehicles on the urban road so as to find accidents in time. Most of the current data monitoring systems can capture, for example, overspeed and red light running, record related data, and collect and upload picture data when accidents corresponding to overspeed, red light running and the like occur. However, these data monitoring systems are rarely concerned with factors such as weather and road conditions that cause accidents, and it is difficult to monitor possible dangerous factors on urban roads, and therefore, possible accident situations cannot be early warned. Meanwhile, because the monitoring equipment on the urban road is not fully covered, sometimes the scene picture corresponding to the accident cannot be acquired, and the corresponding rescue is difficult to provide in time so as to reduce the influence on the life and property safety of personnel related to the accident.

Based on the above, the application provides a method, a device, electronic equipment and a medium for monitoring and managing urban road dangerous data. It is determined which of the accessible devices are by obtaining monitoring device information. According to the setting position of the accessible equipment and the corresponding urban road monitoring range, the shooting mode of the accessible equipment can be determined, and the accessible equipment is controlled to shoot the corresponding urban road monitoring range, so that the corresponding monitoring content data is obtained. The current moving target and moving speed can be determined according to the monitoring content data. And determining the form risk coefficient of the current moving target by acquiring weather information and a preset risk influence range and combining the set position, the preset risk rule and the moving speed of the accessible equipment. And then, warning equipment information and receiving equipment information of a moving target in the urban road monitoring range can be acquired, and the countermeasures of accidents corresponding to the running danger coefficient are determined by combining the running danger coefficient, so that the early warning of possible accidents on the urban road is realized, and countermeasures are provided for timely coping with the accidents.

Fig. 1 is a schematic view of an application scenario provided in the present application. In a region, several urban roads are involved, and different amounts of monitoring devices may be arranged on the urban roads for monitoring moving targets on the urban roads. However, due to limited data to be monitored, it is difficult to analyze accidents that may occur with the current moving object on the urban road, wherein the accidents may involve dangerous accidents of a large or small size. So that unexpected situations possibly happening are difficult to predict and cannot be dealt with in time, and the method can be applied to monitoring and managing urban road dangerous data. In the application scenario of fig. 1, a data management device may be provided to perform the method of the present application. The data management device can interact with monitoring devices on the urban road to be matched with the urban road dangerous data monitoring management system. And shooting by controlling the monitoring equipment to acquire corresponding monitoring content data, analyzing and processing the monitoring data, determining the running risk coefficient of the current moving target, and further determining the countermeasure of the corresponding accident.

Reference may be made to the following examples for specific implementation.

Fig. 2 is a flowchart of an urban road hazard data monitoring and managing method according to an embodiment of the present application, where the method of the present embodiment may be applied to the data management device in the above scenario. As shown in fig. 2, the method includes:

s201, acquiring monitoring equipment information, and determining accessible equipment according to the monitoring equipment information, wherein the monitoring equipment information comprises a setting position corresponding to the accessible equipment and a corresponding urban road monitoring range.

Urban roads may include various roads within an area such as a country, town, city, etc., and may be roads at the center of the area or roads at the periphery of the area or suburban areas. The monitoring device can be arranged on an urban road and is mainly used for monitoring the moving conditions of vehicles, pedestrians and the like on the urban road, the road conditions and the like. The movement condition may include a movement speed, how to move, etc., and the road surface condition may include a congestion condition on a city road, an accident, a breakage on a road surface, etc.

The monitoring device information may include how many monitoring devices are provided on different urban roads, how far apart between two adjacent monitoring devices are, which types of different monitoring devices are, which monitoring devices can be controlled, where the monitoring devices that can be controlled are specifically installed on the urban roads, how large the monitoring range of the urban roads of the monitoring devices is, and so on. Wherein, the monitoring device which is not damaged and can be accessed by the data management device for control can be used as an accessible device. The urban road monitoring range can be the size of the area of the urban road which can be shot on the basis of not adjusting the shooting direction of the monitoring equipment after the monitoring equipment is installed. Correspondingly, the monitoring equipment information comprises the setting position of the accessible equipment and the urban road monitoring range.

In some implementations, the urban road hazard data monitoring management system may include a device information server for storing monitoring device information corresponding to monitoring devices in the system. The monitoring device information can be directly obtained from the device information server, and the accessible device is determined by analyzing the monitoring device information.

In other implementations, the data management device may send an information acquisition instruction to the monitoring device, and the monitoring device may complete the response to the information acquisition instruction by sending corresponding monitoring device information to the data management device after receiving the information acquisition instruction. The data management device can be the accessible device after receiving the monitoring device corresponding to the monitoring device information.

S202, determining a current shooting mode of the accessible equipment and a target monitoring range corresponding to the current shooting mode according to the setting position of the accessible equipment and the urban road monitoring range, and controlling the accessible equipment to shoot the target monitoring range according to the current shooting mode to obtain corresponding monitoring content data.

When shooting is performed at the setting position of the accessible device, the shooting mode which is not adjusted by installing the accessible device may not be suitable for shooting and monitoring the urban road, so that the current shooting mode of the accessible device can be selected in actual working. The current photographing mode may be a photographing mode for photographing an urban road at the current time, and may be stored in the above-described device information server. Meanwhile, the device information server can also store urban road monitoring ranges corresponding to various shooting modes, wherein the urban road monitoring range corresponding to the current shooting mode can be used as a target monitoring range. The monitoring content data can comprise video pictures shot by the accessible equipment, and also can comprise audio data corresponding to the video pictures.

Specifically, a plurality of photographing modes at the setting position of the accessible device may be directly obtained from the device information server, and the photographing modes may include a mode with the best tracking effect, a mode with the widest photographing range, and the like. After selecting the corresponding current shooting mode, a corresponding target monitoring range can be selected in the equipment information server. And then the obtained current shooting mode is sent to corresponding accessible equipment, and the accessible equipment is controlled to shoot a corresponding target monitoring range according to the current shooting mode. The accessible device may transmit the photographed monitoring content data to the data management device.

In some implementations, the monitoring device information may also include information such as the angle at which the device itself of the different accessible devices may rotate. The current shooting mode can be adjusted by combining the setting positions of all the accessible devices and the corresponding urban road monitoring range.

S203, determining a current moving target and the moving speed of the current moving target in the target monitoring range according to the monitoring content data.

The current moving object may include an object having a moving capability such as a vehicle, a pedestrian, or the like. The accessible device may include a speed detection module and the corresponding monitored content data may include a speed of the moving object monitored in real-time. Shape data corresponding to the current moving object under different angles may be stored in the device information server for determining whether the moving object is a moving object. The shape data may be data corresponding to shapes that a person or vehicle may appear at different angles, different distances, and different speeds of movement.

Specifically, the shape data may be extracted from the device information server, and image analysis may be performed on the image data included in the monitoring content data, to determine the current moving target within the target monitoring range. The moving speed of the current moving object may then be directly extracted from the monitored content data, and the moving speed may be one or more corresponding values.

Preferably, the identification of the vehicle and the pedestrian may be dominant among the current moving targets. The data management device may include a human-vehicle data analysis module that may perform human-vehicle data analysis on the image data included in the monitoring content data, and clearly determine the current moving target.

S204, acquiring weather information and a preset dangerous influence range, and determining a running dangerous coefficient of a current moving target according to the weather information, the setting position of the accessible equipment, the preset dangerous influence range, the preset dangerous rule and the moving speed so as to predict a corresponding accident.

The urban road hazard data monitoring management system can be associated with a weather release platform to acquire weather information in real time. The weather information may include specific weather conditions corresponding to different times, such as a light rain at two pm, a visibility corresponding to 7 km, a higher humidity, etc.

The preset hazard impact range may be a predetermined region and impact range in which there may be hazards to the moving object on the urban road on different urban roads. Dangerous areas may include tight turning areas, large vehicle collection areas, road surface damage areas, accident areas, and the like. When the moving object travels at a speed lower than the speed limit of the urban road and the weather condition does not affect the road surface, the area may affect the moving object within the range of the urban road of the preset area, which may be used as the influence range, and the foregoing influence may vary with the speed and/or the weather condition of the moving object. For example, an urban road on which a moving object is traveling has a region with a sharp turn, the impact range corresponding to the sharp turn may be 70 square meters, when the edge of the range is reached, the speed of the moving object exceeds the speed limit speed of the sharp turn and is in light rain today, the road surface humidity is higher, the braking capability of the moving object is weakened, and the impact on the moving object is increased. Information about the preset hazard impact range may be stored in the above-described device information server.

The preset risk rules may be used to indicate what risk the moving object may correspond to, which coefficient the moving object may correspond to, in different preset risk ranges and under different weather information.

In some implementations, the relationships among the preset hazard ranges, the weather information, the moving speeds of the moving targets, the corresponding hazards, and the moving hazard coefficients in the preset hazard rules may be determined by building a hazard prediction model. The preset danger range, the historical weather information, the historical moving speed, the dangers appearing in the history and the corresponding moving danger coefficient can be input into the danger prediction model for training, and the trained danger prediction model is obtained. According to the setting position of the accessible equipment, the urban road can be determined, the preset dangerous range on the urban road can be called from the equipment information server, and the current weather information can be called from the weather release platform. The preset dangerous range and the weather information are input into a trained dangerous prediction model, the danger possibly faced by the moving target and the corresponding moving dangerous coefficient are directly output, and then specific moving speed and a preset dangerous influence unit can be combined to predict what kind of accidents possibly happen.

S205, warning equipment information and receiving equipment information of a current moving target on an urban road corresponding to the accessible equipment are obtained.

The warning device information may include a warning device, a setting position corresponding to the warning device, and a warning mode of the warning device. The warning device may include a laser warning light, an LED warning board, etc. The receiving device information may include a device available to receive the incoming message and a particular use case of the device. Devices available for receiving foreign messages may include car radios, cell phones associated with personal identities, and the like.

Specifically, when the current moving target purchases the vehicle, the personal identity and the purchased vehicle can be stored in the relevant platform together, and the urban road hazard data monitoring and management system can perform information interaction with the relevant platform and the warning equipment on the urban road. The urban road dangerous data monitoring management system can acquire the information of the receiving equipment of the mobile label distribution from the relevant platform, and simultaneously send a signal for requesting to use to the warning equipment on the urban road, the warning equipment can send response information according to the signal, and the response information can carry the information of the warning equipment.

S206, determining countermeasures of accidents corresponding to the mobile danger coefficient according to the warning equipment information, the receiving equipment information and the mobile danger coefficient.

Countermeasures may include prompting of text or light through a warning device, prompting of voice through a receiving device, prompting of alarm to a relevant department, etc.

Specifically, the equipment information server may store a plurality of possible accidents corresponding to different mobile risk coefficients and countermeasures of the plurality of accidents. The warning equipment which can be accessed and used and the setting position of the warning equipment can be extracted from the received warning equipment information. Information may then be extracted from the received device information that may be used to alert the moving object, and whether the device may be used. Based on this, the countermeasures of the plurality of accidents corresponding to the movement risk coefficient determined in step S205 may be extracted from the device information server, and then the countermeasures of the plurality of accidents may be screened according to the conditions of the warning device and the receiving device that can be currently accessed for use, and if the countermeasures at this time include a plurality of, the first countermeasures arranged in the device information server may be used as the countermeasures of the accidents corresponding to the movement risk coefficient.

The data management device in this embodiment may determine which accessible devices are available according to the obtained monitoring device information, where the monitoring device information may include a setting location of the accessible device and a corresponding urban road monitoring range. According to the setting position of the accessible equipment and the corresponding urban road monitoring range, the current shooting mode of the accessible equipment and the target monitoring range corresponding to the current shooting mode can be determined for shooting, and the obtained monitoring content data can cover the urban road as much as possible. By analyzing the monitored content data, it is possible to determine which of the current moving targets are within the target monitoring range and the moving speed of the current moving target. And then weather information and a preset dangerous influence range can be acquired, and the mobile dangerous coefficient of the current mobile target is determined based on the weather information and the preset dangerous influence range by combining the setting position of the accessible equipment, the preset dangerous rule and the mobile speed, so that the mobile dangerous coefficient corresponding to a plurality of data which possibly have unexpected situations is obtained. And acquiring warning equipment information and receiving equipment information of a moving target on the urban road corresponding to the accessible equipment, and then predicting possible accidents by combining the moving danger coefficient, so as to determine countermeasures of the possible accidents under the current condition. The prediction capability for the unexpected situation is improved, so that timely treatment can be carried out when the unexpected situation occurs.

In some embodiments, the method may specifically further include: determining an urban road to which the accessible equipment belongs, and determining the whole accessible equipment on the urban road; determining a shooting blind area on a city road according to monitoring equipment information of the whole accessible equipment;

correspondingly, the determining the current shooting mode of the accessible equipment and the target monitoring range corresponding to the current shooting mode according to the setting position of the accessible equipment and the urban road monitoring range specifically may include: determining a default shooting mode of the accessible equipment according to the setting position of the accessible equipment; and adjusting a default shooting mode according to the shooting blind area and the urban road monitoring range to obtain a current shooting mode of the accessible equipment.

The overall access device may be all monitoring devices installed on the urban road. The shooting blind area can be a place which cannot be shot on the basis of the urban road monitoring range of the whole access equipment. The current photographing mode may be a photographing mode obtained by adjusting a default photographing mode based on the accessible device, and may include a mode in which the accessible device rotates left and right at any time or under any condition, or a mode in which the accessible device rotates up and down to perform photographing, or a mode in which a vehicle or a pedestrian is tracked and photographed under any condition. The default shooting mode may be a preset shooting mode, and the default shooting modes of the accessible devices with different setting positions may be different, so that the default shooting modes of the accessible devices may be stored in the device information server. The equipment information server can also store the installation conditions of the monitoring equipment on different urban roads, including how much monitoring equipment is installed, the control mode of the monitoring equipment and the like.

In some implementations, it may be determined which urban road the accessible device belongs to based on the monitoring device information of the accessible device, and then the entire accessible device on the urban road is obtained from the device information server. The default shooting mode of the accessible equipment is acquired from the equipment information service, and then the distance between the setting positions of any two adjacent accessible equipment can be obtained according to the setting positions of all the accessible equipment in the whole accessible equipment. The shooting blind areas of two adjacent accessible devices under the condition of not rotating can be determined by combining the urban road monitoring range of each accessible device. According to the area size of the shooting blind area, on the basis of not influencing shooting of a normal urban road monitoring range, the default shooting mode of the accessible equipment is adjusted to obtain the current shooting mode, so that the shooting blind area can be covered as much as possible at the current shooting time. Then, a target monitoring range corresponding to the current shooting mode can be acquired in the equipment information server.

According to the method, the corresponding shooting blind area can be determined after the urban road of the accessible equipment is determined, the default shooting mode of the accessible equipment is adjusted based on the shooting blind area, the current shooting mode obtained at the moment is more suitable for the work of urban road monitoring of the accessible equipment, meanwhile, the data covered by the monitoring content data based on the current shooting is wider, and the method is more beneficial to prediction of accidents possibly occurring.

In some embodiments, the monitoring device information further includes shooting definition; the method specifically can further comprise the following steps: acquiring shooting definition of monitoring content data;

correspondingly, the determining the current moving target and the moving speed of the current moving target in the target monitoring range according to the monitoring content data specifically may include: according to shooting definition, performing definition processing on the monitored content data; analyzing the clear monitoring content data to determine the current moving target in the urban road monitoring range; and extracting each frame of image from the monitoring content data for image analysis, and obtaining the moving speed of the current moving target by analysis.

The shooting definition may be the definition of each detail shadow and its boundary that the accessible device shoots when shooting. Different accessible devices may have different shooting definition when shooting due to different conditions at the time of production. The sharpness process may be a process operation of performing high definition reproduction, color reproduction, quick denoising, and the like on shooting sharpness.

Specifically, shooting definition corresponding to the accessible device may be extracted from the monitored content data. Then based on the shooting definition, the monitor content data can be processed into monitor content data with higher definition. Then, the human-vehicle data analysis module in the above embodiment may be used to analyze each frame of image in the image data included in the monitored content data, so as to determine the current moving target, and at the same time, obtain how much distance the moving target moves within the target monitoring range in unit time, so as to obtain the moving speed of the current moving target.

According to the embodiment, the definition processing can be performed according to the shooting definition of the monitored content data, and the analysis of the current moving target and the corresponding moving speed is performed based on the monitored content data after the definition processing, so that the analysis result is more accurate and reliable.

In some embodiments, the obtaining weather information and the preset risk influence range, and determining the mobile risk coefficient of the current mobile target according to the weather information, the set position of the accessible device, the preset risk influence range, the preset risk rule, and the mobile speed, so as to predict the corresponding accident may specifically include: acquiring weather information and a preset dangerous influence range, wherein the preset dangerous influence range comprises a dangerous range area and dangerous information; matching the dangerous range area with the setting position of the accessible equipment, and determining a sub-dangerous influence range corresponding to the setting position, wherein the preset dangerous influence range comprises a plurality of sub-dangerous influence ranges; analyzing the danger information included in the sub-danger influence range to obtain an abnormal road area and default danger factors in the sub-danger influence range; updating default risk factors according to weather information, and determining actual risk factors; and determining the moving risk coefficient of the current moving target under the moving speed, the abnormal road area and the actual risk factors based on a preset risk rule so as to predict the corresponding accident.

The preset hazard influence range may include specific information of a hazard that may exist, i.e., hazard information, and may further include a range to which the hazard may influence, i.e., a hazard range area. Various preset hazard impact units on different urban roads may be stored in the device information server. The sub-hazard impact range may be a range that can be photographed by accessible devices at different set locations. The preset risk impact range may thus comprise several sub-risk impact ranges. The abnormal road area may be a specific dangerous location, may be a sharp turn, a rapid downhill, may be a severely damaged road surface, may be a road where large vehicles gather, or the like.

The default risk factor may be a factor that may trigger an accident caused by an abnormal road area, for example, the default risk factor of a sharp turn, a sharp downhill may be too fast; default risk factors for severely damaged road surfaces may be concave-convex or the like on the road surface that may damage vehicle tires or the like; the default risk factors for the road where the large vehicles gather may be rollover of the large vehicles, dropping of the articles on the vehicles, too fast movement of the current moving object, etc. The actual risk factors may be newly generated integrated risk factors, such as rainy road slippery, and default risk factors, after the weather conditions are referenced.

Specifically, the implementation manner of the step S204 may be referred to, so as to obtain weather information and a preset risk influence range. And then matching the setting position of the accessible equipment with the area of the dangerous range to determine which sub-dangerous influence range the setting position of the accessible equipment is in, wherein the sub-dangerous influence range determined by taking the setting position of the accessible equipment as the main part can influence the photographed current moving target because the setting position of the accessible equipment is possibly positioned in the center of the whole monitoring range. And analyzing the danger information to determine what abnormal road area exists and what default danger factors exist in the area. The weather information can be combined, the change of the weather influence in the current sub-danger influence range and the influence of the current moving target can be analyzed, and the default danger factors are updated to obtain the actual danger factors. Then, referring to the implementation manner of the step S204, based on the preset risk rule, a moving risk coefficient of the current moving target under the influence of the corresponding moving speed, the abnormal road area and the actual risk factor is determined, so as to predict the corresponding accident.

According to the method, the abnormal road area and the default risk factors in the sub-risk influence range are obtained based on the risk information, and then the default risk factors are updated by combining the weather information, so that more factors which are covered by the updated actual risk factors and possibly influence accidents occur, and the prediction result of the accidents occurring in the unexpected situations is more accurate.

In some embodiments, the method specifically may further include: receiving a monitoring tracking instruction of an associated department, wherein the monitoring tracking instruction carries historical position information of a monitored person; predicting an optional moving route of the monitored person according to the historical position information; acquiring shooting blind areas on the selectable mobile routes, position information corresponding to the shooting blind areas and corresponding road condition information; classifying the selectable moving routes according to the position information and the road condition information to obtain classification results, wherein the classification results comprise selectable moving routes of a quick driving-away type and selectable moving routes of an evasion snapshot type; the classification result is sent to the association department, and a feedback instruction of the association department is received, wherein the feedback instruction carries the selection information of the selectable moving route; determining corresponding accessible equipment according to the selection information; and controlling the accessible equipment to monitor the optional moving route corresponding to the feedback instruction in real time, and sending the generated monitoring data to the associated department.

The association departments may include police departments, hospitals, etc. that need tracking and searching through the associated urban road hazard data monitoring management system. The monitoring and tracking instruction may be an instruction sent by the association department requesting tracking of a moving target, which may be called a monitored person. The historical location information may include the location of the monitored person at any time before the data management device receives the monitoring tracking instructions, and may be specifically embodied at which location is photographed by which accessible device.

The selectable moving route may be a moving route to which direction the history position information may be moved after being connected according to the history position corresponding to the history position information, and the more the history position information contains, the more accurate the corresponding selectable moving route. The road condition information may be information related to the technical status of existing road beds, pavements, structures, and attached settings on the optional moving route. The fast driving-away type can be a type which can rapidly move on an urban road when traffic information shows that traffic jam and the like do not occur. The evasion snapshot type may be a type in which the number of installed monitoring devices or the number of accessible devices on an urban road is small due to various reasons, resulting in a large number of shooting blind areas. The feedback instruction may be an instruction for the association department to select the selectable moving route after receiving the classification result, and may carry specific selection information. The monitoring data can be data obtained by the data management device through monitoring the monitoring device according to the feedback instruction of the related department.

Specifically, the urban road dangerous data monitoring management system can perform information interaction with the related departments, if a monitoring tracking instruction of the related departments is received, the historical position information of the monitored person is extracted from the monitoring tracking instruction, and the optional moving routes of the monitored person are predicted according to the historical position information. And then extracting the specific position information of the shooting blind area on the urban road corresponding to the optional moving route and the corresponding road condition information from the equipment information server. Analyzing shooting blind areas and road condition information, and carrying out typing of a quick travel-away type and an escape snapshot type on an optional moving route. And sending the classification result to an association department, wherein the association department can select an optional moving route according to the knowledge or prediction of the monitored person, and then sending a feedback instruction carrying selection information to the urban road hazard data monitoring management system. The data management device may analyze the feedback instructions and determine which of the accessible devices on the selected alternative mobile route are based on the selection information therein. The selected alternative travel routes can then be monitored in real time by the accessible devices, and the generated monitoring data synchronized to the associated departments.

In some implementations, the data management device may adjust the shooting mode of the accessible device on the movable route according to the movable route selected by the feedback instruction, so that the monitored person can be shot in the screen all the time as much as possible.

In this embodiment, the optional moving route of the designated monitored person is predicted according to the tracking instruction of the association department, and then the selected optional moving route can be monitored in real time according to the requirement of the association department. The use efficiency of the data monitoring management system in monitoring and tracking is improved, meanwhile, accidents can be possibly caused by monitored persons needing to be tracked and monitored by related departments, so that the monitored persons can be timely processed when the monitored persons happen accidents on urban roads in real time, and the threats of life and property safety brought to other moving targets are reduced.

In some embodiments, the method specifically may further include: judging whether the monitoring content data in the target monitoring range is abnormal stop data or not, wherein the abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving in a preset emergency brake time range; if yes, analyzing the moving target condition and the environment condition in the target monitoring range according to the abnormal stop data, and determining the current accident level according to the moving target condition and the environment condition; judging whether the current accident level is a high-risk level, if so, acquiring the accurate position of the current accident and detecting dangerous handling personnel in the target monitoring range; generating a rescue prompt according to the moving target condition and the environment condition; the rescue tip and the accurate location are sent to the associated equipment of the hazard handler.

The preset sudden braking time range may be a preset range corresponding to a time for reducing the moving speed to zero, which may be caused by a sudden braking due to a collision or the like. If the current moving target in some monitoring content data stops moving within the preset emergency braking time range, the monitoring content data can be written as abnormal stop data. If the current moving target is a vehicle, the moving target condition can comprise a concave condition of the vehicle; if the current moving target is a person, the moving target condition can comprise the blood condition of a road surface or other positions, and the specific conditions of behavior actions such as slow moving, crawling and the like of the person; if the current moving object includes a vehicle and a person, any of the aforementioned conditions may be included. Environmental conditions may include delays, flames, surrounding equipment destroyed conditions, and road surface abnormal wetting. Abnormal wetting of a road surface may refer to wetting of a road surface by non-weather effects, and the reasons for wetting may include blood, liquid inside the vehicle, etc. being spilled on the road surface.

The current accident level can be divided according to the moving target condition and the environment condition, and the equipment information data management equipment can store the corresponding current accident level under different moving target conditions and different environment conditions. The system can comprise a low-risk level, a medium-risk level and a high-risk level, and can be distinguished according to the influence on the life and property safety of the moving target in the actual implementation process. The hazard handling personnel may include police, medical personnel. The rescue cue may be information carrying the current accident level and a text cue. The associated equipment can be equipment for carrying out information interaction between dangerous handling personnel and the urban road dangerous data monitoring management system.

Specifically, by analyzing the monitoring content data in the target monitoring range, whether the current moving target stops moving in the preset emergency braking time range is judged, and if yes, the monitoring content data is abnormal stop data. At this time, image analysis can be performed, the moving target condition and the environment condition in the preferable monitoring unit are determined, and the corresponding current accident level is matched in the equipment information data management equipment based on the moving target condition and the environment condition. If the current accident level is a high-risk level, the accurate position of the current accident can be obtained by analyzing the monitoring content data, and meanwhile, dangerous handling personnel in the preferable monitoring range can be detected. In some implementations, the location of the hazard disposal person may be determined by detecting an associated device of the hazard disposal person. And generating a rescue prompt according to the moving target condition and the environment condition, and sending the rescue prompt and the accurate position to the associated equipment of the dangerous handling personnel.

According to the embodiment, the receiving monitoring content data can be detected in real time and analyzed, the abnormal stop data are determined, then further analysis is performed, the current accident level is determined, if the current accident level is high, dangerous handling personnel in the target monitoring range can be timely obtained for timely rescue, and the life and property loss of the current moving target is reduced as much as possible.

In some embodiments, the generating the rescue hint according to the moving target situation and the environmental situation may specifically include: determining first accident information according to the moving target condition, wherein the first accident information carries character damage information at the accurate position of the current accident; determining second accident information according to the environmental conditions, wherein the second accident information carries environmental damage information at the accurate position of the current accident; and generating a rescue prompt according to the figure injury information and the environment injury information.

The first accident information may refer to a specific damage condition of a task at an accurate position of the current accident, and may be determined according to bleeding conditions detected by image analysis, slow crawling, movement or incapability of moving of a person, and the like. The second accident information may refer to a specific damage condition applied around the exact location of the current accident except for the person, and may be judged according to a damage condition of the vehicle, surrounding building, plant, fence, etc.

In some implementations, the moving target condition and the environmental condition may be analyzed by the image analysis and the human-vehicle data analysis module in the above embodiments, to obtain the injury condition of the current moving target and the injury condition of the surrounding environment, and generate the corresponding first accident information and the second accident information respectively. And then, the specific content of the second accident information can be analyzed to judge whether the damage of the current surrounding environment possibly brings new threats such as gasoline leakage possibly causing vehicle explosion and the like to the current moving target, and the specific content is combined with the person condition in the first accident information to generate a rescue prompt containing information such as person injury condition, threat of the current environment, hidden threat and the like.

The embodiment can specifically analyze the moving target condition and the environmental condition, and further obtain the first accident information carrying the figure injury information and the second accident information carrying the environmental injury information. By combining the figure injury information and the environment injury information, a specific rescue prompt is generated, so that the content in the rescue prompt is richer and more specific, and dangerous handling personnel can quickly respond to rescue tools and the like to be carried when receiving the rescue prompt, rescue is carried out in the first time, and the life and property loss of the current moving target is further reduced.

In other embodiments, when detecting that some corresponding monitoring devices in the monitoring device information are not accessible devices, the monitoring device information of the monitoring devices can be sent to the management department for follow-up of reasons that the monitoring devices cannot be accessed.

Fig. 3 is a schematic structural diagram of an urban road hazard data monitoring and managing device according to an embodiment of the present application, and as shown in fig. 3, an urban road hazard data monitoring and managing device 300 according to the present embodiment includes: an accessible device determination module 301, a monitored content data determination module 302, a monitored content data analysis module 303, a mobile risk factor determination module 304, an information acquisition module 305, and an countermeasure determination module 306.

The accessible equipment determining module 301 is configured to obtain monitoring equipment information, and determine accessible equipment according to the monitoring equipment information, where the monitoring equipment information includes a setting position corresponding to the accessible equipment and a corresponding urban road monitoring range;

the monitoring content data determining module 302 is configured to determine a current shooting mode of the accessible device and a target monitoring range corresponding to the current shooting mode according to a setting position of the accessible device and an urban road monitoring range, and control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain corresponding monitoring content data;

a monitored content data analysis module 303, configured to determine a current moving target and a moving speed of the current moving target within a target monitoring range according to the monitored content data;

the mobile risk coefficient determining module 304 is configured to obtain weather information and a preset risk influence range, and determine a mobile risk coefficient of a current mobile target according to the weather information, a set position of an accessible device, the preset risk influence range, a preset risk rule, and a mobile speed, so as to predict a corresponding accident;

the information acquisition module 305 is configured to acquire warning device information on an urban road corresponding to an accessible device and receiving device information of a current moving target;

The countermeasure determining module 306 is configured to determine countermeasures of the accident corresponding to the mobile risk coefficient according to the warning device information, the receiving device information and the mobile risk coefficient.

Optionally, the urban road hazard data monitoring and management device 300 further includes a shot blind area determining module 307 for:

determining a shooting blind area on a city road according to monitoring equipment information of the whole accessible equipment;

the monitor content data determination module 302 is specifically configured to:

according to the shooting blind area and the urban road monitoring range, adjusting a default shooting mode to obtain a current shooting mode of the accessible equipment;

Optionally, the monitoring device information further includes shooting definition; the urban road hazard data monitoring and management device 300 further comprises a shooting definition acquisition module 308 for:

acquiring shooting definition of monitoring content data;

the monitoring content data analysis module 303 is specifically configured to:

According to shooting definition, performing definition processing on the monitored content data;

analyzing the clear monitoring content data to determine the current moving target in the urban road monitoring range;

and extracting each frame of image from the monitoring content data for image analysis, and obtaining the moving speed of the current moving target by analysis.

Optionally, the mobile risk coefficient determining module 304 is specifically configured to:

matching the dangerous range area with the setting position of the accessible equipment, determining a dangerous influence range corresponding to the setting position, wherein the preset dangerous influence range comprises a plurality of dangerous influence ranges;

updating default risk factors according to weather information, and determining actual risk factors;

and determining the moving risk coefficient of the current moving target under the moving speed, the abnormal road area and the actual risk factors based on a preset risk rule so as to predict the corresponding accident.

Optionally, the urban road hazard data monitoring and management apparatus 300 further comprises a monitoring and tracking module 309 for:

based on the information of the location of the history, predicting an optional moving route of the monitored person;

acquiring shooting blind areas on the selectable mobile routes, position information corresponding to the shooting blind areas and corresponding road condition information;

classifying the selectable moving routes according to the position information and the road condition information to obtain classification results, wherein the classification results comprise selectable moving routes of a quick driving-away type and selectable moving routes of an evasion snapshot type;

the classification result is sent to the association department, and a feedback instruction of the association department is received, wherein the feedback instruction carries the selection information of the selectable moving route;

and controlling the accessible equipment to monitor the optional moving route corresponding to the feedback instruction in real time, and sending the generated monitoring data to the associated department.

Optionally, the urban road hazard data monitoring and management device 300 further includes a rescue hint generating module 310, configured to:

the rescue tip and the accurate location are sent to the associated equipment of the hazard handler.

Optionally, the rescue hint generation module 310 is specifically configured to:

determining first accident information according to the moving target condition, wherein the first accident information carries character damage information at the accurate position of the current accident;

The apparatus of this embodiment may be used to perform the method of any of the foregoing embodiments, and its implementation principle and technical effects are similar, and will not be described herein again.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 4, an electronic device 400 according to the present embodiment may include: a memory 401 and a processor 402.

The memory 401 has stored thereon a computer program that can be loaded by the processor 402 and that performs the methods of the above-described embodiments.

Wherein the processor 402 is coupled to the memory 401, e.g. via a bus.

Optionally, the electronic device 400 may also include a transceiver. It should be noted that, in practical applications, the transceiver is not limited to one, and the structure of the electronic device 400 is not limited to the embodiments of the present application.

The processor 402 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 402 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

A bus may include a path that communicates information between the components. The bus may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.

Memory 401 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 401 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 402. The processor 402 is configured to execute the application code stored in the memory 401 to implement what is shown in the foregoing method embodiment.

Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. It may also be a data management device or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.

The electronic device of the present embodiment may be used to execute the method of any of the foregoing embodiments, and its implementation principle and technical effects are similar, and will not be described herein.

The present application also provides a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the method in the above embodiments.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.

Claims

1. The urban road dangerous data monitoring and managing method is characterized by being applied to an urban road dangerous data monitoring and managing system; the urban road dangerous data monitoring management system comprises monitoring equipment and data management equipment, wherein the monitoring equipment and the data management equipment perform information interaction; the method is performed by the data management device and includes:

2. The method as recited in claim 1, further comprising:

3. The method of claim 1, wherein the monitoring device information further comprises a shooting definition; the method further comprises the steps of:

Acquiring shooting definition of the monitoring content data;

4. The method of claim 1, wherein the obtaining weather information and a preset risk impact range, and determining a mobile risk coefficient of the current mobile object according to the weather information, the set location of the accessible device, the preset risk impact range, a preset risk rule, and the mobile speed, so as to predict a corresponding accident, comprises:

5. The method as recited in claim 2, further comprising:

6. The method of any one of claims 1-5, further comprising:

7. The method of claim 6, wherein generating a rescue cue based on the moving target condition and the environmental condition comprises:

8. The urban road dangerous data monitoring and managing device is characterized by being applied to an urban road dangerous data monitoring and managing system; the urban road dangerous data monitoring management system comprises monitoring equipment and an urban road dangerous data monitoring management device, wherein the monitoring equipment and the urban road dangerous data monitoring management device conduct information interaction; the method is executed by the urban road hazard data monitoring and managing device and comprises the following steps:

9. An electronic device, comprising: a memory and a processor;

the memory is used for storing program instructions;

the processor is configured to call and execute the program instructions in the memory, and perform the urban road hazard data monitoring and management method according to any one of claims 1 to 7.

10. A computer-readable storage medium, wherein the computer-readable storage medium has a computer program stored therein; the computer program, when executed by a processor, implements the urban road hazard data monitoring and management method according to any one of claims 1 to 7.