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

Abstract

The application relates to a city road danger data monitoring management method and device, electronic equipment and medium. First, monitoring equipment information is acquired, and accessible equipment is determined according to the monitoring equipment information. According to the setting position of the accessible equipment and the city road monitoring range, the current shooting mode and the target monitoring range are determined, the accessible equipment is controlled to shoot according to the current shooting mode, and monitoring content data is obtained. According to the monitoring content data, the current moving target and the corresponding moving speed are determined. Weather information and a preset danger influence range are acquired, and according to the weather information, the setting position, the preset danger influence range, a preset danger rule and the moving speed, the moving danger coefficient of the current moving target is determined. Warning equipment information on the city road and receiving equipment information of the current moving target are acquired. According to the warning equipment information, the receiving equipment information and the moving danger coefficient, the corresponding accident response measures are determined.

Description

Technical Field

[0001] This application relates to the field of road monitoring technology, and in particular to a method, device, electronic device and medium for monitoring and managing hazardous data on urban roads. Background Technology

[0002] With social development and the gradual improvement of people's living standards in my country, the number of motor vehicles on urban roads is also constantly increasing. At the same time, accidents involving motor vehicles on urban roads occur frequently due to factors such as weather conditions, road conditions, and traffic flow, posing varying degrees of threat to people's lives and property. Therefore, monitoring and issuing early warnings about dangerous situations on urban roads and ensuring safe travel as much as possible is of paramount importance.

[0003] Data monitoring systems use hardware and software to process images captured by surveillance cameras into digital signals and transmit them to a computer for processing. Currently, this type of data monitoring system is used for monitoring urban roads. Most related technologies utilize data monitoring systems to capture images of moving vehicles, identifying and recording violations such as speeding and running red lights, thus preventing dangerous situations on urban roads. However, current data monitoring systems do not collect comprehensive data, making it difficult to accurately predict unexpected situations and resulting in delayed responses when incidents occur. Summary of the Invention

[0004] This application provides a method, device, electronic device, and medium for monitoring and managing hazardous data on urban roads.

[0005] Firstly, this application provides a method for monitoring and managing urban road hazard data, applied to an urban road hazard data monitoring and management system; the urban road hazard data monitoring and management system includes monitoring equipment and data management equipment, wherein the monitoring equipment and the data management equipment interact with each other; the method is executed by the data management equipment, including: Acquire monitoring equipment information and determine accessible devices based on the monitoring equipment information, wherein the monitoring equipment information includes the setting location and the corresponding urban road monitoring range of the accessible devices; Based on the location of the accessible device and the urban road monitoring range, determine the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode, and control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data; Based on the monitored data, determine the current moving target within the target monitoring range and the moving speed of the current moving target; The system acquires weather information and a preset danger impact range, and determines the movement danger coefficient of the current moving target based on the weather information, the location of the accessible device, the preset danger impact range, the preset danger rules, and the movement speed, in order to predict the corresponding accidents. Obtain information on warning devices on urban roads corresponding to the accessible devices and information on receiving devices of the current moving target; Based on the warning device information, the receiving device information, and the mobile hazard coefficient, determine the corresponding accident response measures.

[0006] By adopting the above technical solution, the available monitoring devices can be determined based on the acquired monitoring equipment information. This information includes the installation location of the available devices and their corresponding urban road monitoring range. Based on the installation location and corresponding urban road monitoring range of the available devices, the current shooting mode of the devices and the corresponding target monitoring range can be determined for shooting, ensuring that the obtained monitoring data covers as many urban roads as possible. By analyzing the monitoring data, the current moving targets within the target monitoring range and their speeds can be identified. Then, weather information and preset hazard impact ranges can be obtained. Based on this, combined with the installation location of the available devices, preset hazard rules, and movement speed, the movement hazard coefficient of the current moving target can be determined, yielding movement hazard coefficients corresponding to various possible unexpected situations. By acquiring warning device information on urban roads corresponding to the available devices and receiving device information of the moving targets, and then combining this with the movement hazard coefficients, potential accidents can be predicted, and corresponding response measures can be determined. This improves the ability to predict unexpected situations, enabling timely responses when they occur.

[0007] Optionally, the above methods also include: Determine the city road to which the accessible device belongs, and determine the total number of accessible devices on the city road; Based on the monitoring equipment information of the overall accessible devices, the blind spots for filming on the urban roads are determined; The step of determining the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range includes: The default shooting mode of the accessible device is determined based on the setting location of the accessible device; Based on the blind spot and the urban road monitoring range, the default shooting mode is adjusted to obtain the current shooting mode of the accessible device; Based on the current shooting method, determine the corresponding target monitoring range.

[0008] By adopting the above technical solution, after determining the urban roads accessible to the device, the corresponding shooting blind spots can be identified. Based on the shooting blind spots, the default shooting mode of the accessible device can be adjusted. The resulting current shooting mode is more suitable for the accessible device to monitor urban roads. At the same time, the monitoring data captured by the current shooting mode covers a wider range of data, which is more beneficial for predicting possible accidents.

[0009] Optionally, the monitoring device information may also include image resolution; the method may further include: Obtain the image clarity of the monitored content data; The step of determining the current moving target and its moving speed within the target monitoring range based on the monitored content data includes: Based on the shooting resolution, the monitored content data is processed to improve clarity; Analyze the enhanced monitoring data to determine the current moving target within the target monitoring range; Each frame of image is extracted from the monitored data and analyzed to determine the moving speed of the current moving target.

[0010] By adopting the above technical solution, the clarity of the captured monitoring content data can be improved. Based on the improved monitoring content data, the current moving target and its corresponding speed can be analyzed, making the analysis results more accurate and reliable.

[0011] Optionally, the step of acquiring weather information and a preset hazard impact range, and determining the movement hazard coefficient of the current moving target based on the weather information, the location of the accessible device, the preset hazard impact range, preset hazard rules, and the movement speed, in order to predict corresponding accidents, includes: Obtain weather information and a preset hazard impact range, wherein the preset hazard impact range includes the hazard area and hazard information; The dangerous area is matched with the location of the accessible device to determine the sub-danger influence range corresponding to the location. The preset dangerous influence range includes several sub-danger influence ranges. Analyze the hazard information included in the sub-hazard impact range to obtain abnormal road areas and default hazard factors within the sub-hazard impact range; Based on the weather information, update the default hazard factors and determine the actual hazard factors; Based on preset hazard rules, the movement hazard coefficient of the current moving target under the moving speed, the abnormal road area, and the actual hazard factors is determined in order to predict the corresponding accidents.

[0012] By adopting the above technical solution, based on hazard information, abnormal road areas and default hazard factors within the sub-hazard influence range are obtained. Then, weather information is combined to update the default hazard factors, so that the updated actual hazard factors cover more factors that may affect the occurrence of accidents, making the prediction results of accidents more accurate when accidents occur.

[0013] Optionally, the method further includes: Receive monitoring and tracking instructions from relevant departments, wherein the monitoring and tracking instructions carry the historical location information of the monitored person; Based on the historical location information, predict the possible movement routes of the monitored person; Obtain the shooting blind spots on the optional movement route, as well as the location information and road condition information corresponding to the shooting blind spots; Based on the location information and the road condition information, the optional movement routes are classified to obtain classification results. The classification results include optional movement routes for quick departure and optional movement routes for avoiding camera detection. The classification results are sent to the relevant department, and feedback instructions are received from the relevant department, the feedback instructions carrying information on the selection of optional movement routes; Based on the selection information, the corresponding accessible devices are determined; The system controls the accessible devices to monitor the selectable movement routes corresponding to the feedback commands in real time and sends the generated monitoring data to the relevant departments.

[0014] By adopting the above technical solution, the possible movement routes of designated monitored individuals can be predicted based on tracking instructions from relevant departments. Real-time monitoring of the selected movement routes can then be performed according to the needs of the relevant departments. This improves the efficiency of the data monitoring and management system in monitoring and tracking. Furthermore, since the monitored individuals may present unexpected situations, real-time monitoring allows for timely intervention when such situations occur on urban roads, reducing threats to life and property safety for other moving targets.

[0015] Optionally, the method further includes: Determine whether the monitoring content data within the target monitoring range is abnormal stop data. The abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving within a preset emergency braking time range. If so, then based on the abnormal stop data, analyze the moving target situation and environmental situation within the target monitoring range, and determine the current accident level based on the moving target situation and the environmental situation; Determine whether the current accident level is high-risk. If so, obtain the exact location of the current accident and detect the personnel handling the danger within the target monitoring range. Based on the moving target situation and the environmental conditions, a rescue prompt is generated; The rescue alert and the exact location are sent to the associated device of the hazard responder.

[0016] By adopting the above technical solution, the received monitoring content data can be detected and analyzed in real time. After identifying abnormal stop data, further analysis can be performed to determine the current accident level. If it is a high-risk level, timely rescue can be carried out by hazard handling personnel within the target monitoring range, minimizing the loss of life and property of the moving target as much as possible.

[0017] Optionally, generating a rescue prompt based on the moving target situation and the environmental situation includes: Based on the moving target situation, first accident information is determined, which carries personal injury information at the exact location where the current accident occurred. Based on the environmental conditions, a second accident information is determined, which carries environmental damage information at the exact location where the current accident occurred. Based on the personal injury information and the environmental damage information, a rescue prompt is generated.

[0018] By adopting the above technical solution, the situation of the moving target and the environment can be analyzed in detail, further obtaining primary accident information carrying personnel injury information and secondary accident information carrying environmental damage information. Combining the personnel injury information and environmental damage information, specific rescue prompts are generated, making the content of the rescue prompts richer and more specific. When receiving the rescue prompts, hazard response personnel can quickly react by identifying the rescue tools they need to carry and carry out rescue operations immediately, further reducing the loss of life and property of the currently moving target.

[0019] Secondly, this application provides an urban road hazard data monitoring and management device, applied to an urban road hazard data monitoring and management system; the urban road hazard data monitoring and management system includes monitoring equipment and the urban road hazard data monitoring and management device, wherein the monitoring equipment and the urban road hazard data monitoring and management device interact with each other; the method is executed by the urban road hazard data monitoring and management device, including: The accessible device determination module is used to acquire monitoring device information and determine accessible devices based on the monitoring device information. The monitoring device information includes the setting location and the corresponding urban road monitoring range of the accessible device. The monitoring content data determination module is used to determine the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range, and control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data. The monitoring content data analysis module is used to determine the current moving target and the moving speed of the current moving target within the target monitoring range based on the monitoring content data. The mobile hazard coefficient determination module is used to acquire weather information and a preset hazard impact range, and determine the mobile hazard coefficient of the current mobile target based on the weather information, the setting location of the accessible device, the preset hazard impact range, the preset hazard rules, and the mobile speed, so as to predict the corresponding accident. The information acquisition module is used to acquire warning device information on urban roads corresponding to the accessible device and receiving device information of the current moving target; The response determination module is used to determine the response measures for the accident corresponding to the mobile hazard coefficient based on the warning device information, the receiving device information, and the mobile hazard coefficient.

[0020] Optionally, the urban road hazard data monitoring and management device further includes a blind spot determination module, used for: Determine the city road to which the accessible device belongs, and determine the total number of accessible devices on the city road; Based on the monitoring equipment information of the overall accessible devices, the blind spots for filming on the urban roads are determined; The monitoring content data determination module is specifically used for: The default shooting mode of the accessible device is determined based on the setting location of the accessible device; Based on the blind spot and the urban road monitoring range, the default shooting mode is adjusted to obtain the current shooting mode of the accessible device; Based on the current shooting method, determine the corresponding target monitoring range.

[0021] Optionally, the monitoring equipment information also includes image clarity; the urban road hazard data monitoring and management device further includes an image clarity acquisition module, used for: Obtain the image clarity of the monitored content data; The monitoring content data analysis module is specifically used for: Based on the shooting resolution, the monitored content data is processed to improve clarity; Analyze the enhanced monitoring data to determine the current moving target within the urban road monitoring range; Each frame of image is extracted from the monitored data and analyzed to determine the moving speed of the current moving target.

[0022] Optionally, the movement hazard factor determination module is specifically used for: Obtain weather information and a preset hazard impact range, wherein the preset hazard impact range includes the hazard area and hazard information; The dangerous area is matched with the location of the accessible device to determine the dangerous influence range corresponding to the location. The preset dangerous influence range includes several dangerous influence ranges. Analyze the hazard information included in the hazard impact range to obtain abnormal road areas and default hazard factors within the hazard impact range; Based on the weather information, update the default hazard factors and determine the actual hazard factors; Based on preset hazard rules, the movement hazard coefficient of the current moving target under the moving speed, the abnormal road area, and the actual hazard factors is determined in order to predict the corresponding accidents.

[0023] Optionally, the urban road hazard data monitoring and management device further includes a monitoring and tracking module for: Receive monitoring and tracking instructions from relevant departments, wherein the monitoring and tracking instructions carry the historical location information of the monitored person; Based on the historical location information, predict the possible movement routes of the monitored person; Obtain the shooting blind spots on the optional movement route, as well as the location information and road condition information corresponding to the shooting blind spots; Based on the location information and the road condition information, the optional movement routes are classified to obtain classification results. The classification results include optional movement routes for quick departure and optional movement routes for avoiding camera detection. The classification results are sent to the relevant department, and feedback instructions are received from the relevant department, the feedback instructions carrying information on the selection of optional movement routes; Based on the selection information, the corresponding accessible devices are determined; The system controls the accessible devices to monitor the selectable movement routes corresponding to the feedback commands in real time and sends the generated monitoring data to the relevant departments.

[0024] Optionally, the urban road hazard data monitoring and management device further includes a rescue prompt generation module, used for: Determine whether the monitoring content data within the target monitoring range is abnormal stop data. The abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving within a preset emergency braking time range. If so, then based on the abnormal stop data, analyze the moving target situation and environmental situation within the target monitoring range, and determine the current accident level based on the moving target situation and the environmental situation; Determine whether the current accident level is high-risk. If so, obtain the exact location of the current accident and detect the personnel handling the danger within the target monitoring range. Based on the moving target situation and the environmental conditions, a rescue prompt is generated; The rescue alert and the exact location are sent to the associated device of the hazard responder.

[0025] Optionally, the rescue prompt generation module is specifically used for: Based on the moving target situation, first accident information is determined, which carries personal injury information at the exact location where the current accident occurred. Based on the environmental conditions, a second accident information is determined, which carries environmental damage information at the exact location where the current accident occurred. Based on the personal injury information and the environmental damage information, a rescue prompt is generated.

[0026] Thirdly, this application provides an electronic device, including: a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method of the first aspect.

[0027] Fourthly, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the method of the first aspect. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 This is a schematic diagram of an application scenario provided in an embodiment of this application; Figure 2A flowchart illustrating a method for monitoring and managing hazardous data on urban roads, provided as an embodiment of this application; Figure 3 A schematic diagram of the structure of an urban road hazard data monitoring and management device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0031] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0032] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0033] With the increasing number of vehicles on urban roads, traffic accidents are becoming more frequent. Many urban areas utilize data monitoring systems to monitor vehicle traffic and detect accidents promptly. Most current data monitoring systems can capture and record data such as speeding and running red lights, and can also collect and upload video data when accidents involving speeding or running red lights occur. However, these systems rarely consider factors that contribute to accidents, such as weather and road conditions, making it difficult to monitor potential hazards on urban roads and thus unable to provide early warnings of possible accidents. Furthermore, due to incomplete coverage of monitoring equipment on many urban roads, sometimes accident scenes cannot be captured, making it difficult to provide timely rescue and minimize the impact on the lives and property of those involved.

[0034] Based on this, this application provides a method, device, electronic device, and medium for monitoring and managing hazardous data on urban roads. The method involves obtaining monitoring equipment information to determine which devices can be accessed. Based on the installation location of the accessible devices and the corresponding urban road monitoring range, the shooting method of the accessible devices can be determined, and the accessible devices can be controlled to shoot within the corresponding urban road monitoring range to obtain the corresponding monitoring content data. Based on this monitoring content data, the current moving target and its speed can be determined. By obtaining weather information and a preset hazardous impact range, combined with the installation location of the accessible devices, preset hazard rules, and moving speed, the hazard coefficient of the current moving target can be determined. Then, information on warning devices within the urban road monitoring range and the receiving device information of the moving target can be obtained. Combined with the driving hazard coefficient, the corresponding accident response measures can be determined to achieve early warning of possible accidents on urban roads and provide timely response measures.

[0035] Figure 1 This illustration illustrates an application scenario provided by this application. A region may involve several urban roads, each potentially equipped with a varying number of monitoring devices to monitor moving targets. However, due to limited monitoring data, it is difficult to analyze potential unexpected situations involving moving targets on these roads. These unexpected situations may involve various levels of danger. Consequently, it is difficult to predict potential incidents and respond promptly. In this case, the method described in this application can be applied to monitor and manage hazardous data on urban roads. Figure 1 In the application scenarios described herein, a data management device can be set up to implement the method of this application. This data management device can interact with monitoring equipment on urban roads, functioning as an urban road hazard data monitoring and management system. By controlling the monitoring equipment to capture and acquire corresponding monitoring data, the monitoring data is analyzed and processed to determine the driving hazard coefficient of the currently moving target, and thus determine the corresponding accident response measures.

[0036] For specific implementation details, please refer to the following examples.

[0037] Figure 2 This is a flowchart illustrating a method for monitoring and managing hazardous data on urban roads, provided as an embodiment of this application. The method of this embodiment can be applied to data management devices in the above-mentioned scenarios. Figure 2 As shown, the method includes: S201. Obtain monitoring equipment information and determine the accessible devices based on the monitoring equipment information. The monitoring equipment information includes the setting location of the accessible devices and the corresponding urban road monitoring range.

[0038] Urban roads can include various roads within areas such as towns, villages, and cities. These can be roads in the center of the area or roads in the periphery or suburbs. Monitoring equipment can be installed on urban roads, primarily used to monitor the movement of vehicles and pedestrians, as well as road conditions. Movement data can include speed and how they move, while road conditions can include traffic congestion, accidents, and road damage.

[0039] The monitoring equipment information can include the number of monitoring devices installed on different city roads, the distance between two adjacent monitoring devices, the different models of the monitoring devices, which monitoring devices can be controlled, the specific locations of the controllable monitoring devices installed on city roads, and the size of the city road monitoring range of each monitoring device. Among these, monitoring devices that are not damaged and can be accessed and controlled by data management devices can be considered as accessible devices. The city road monitoring range can be the area of ​​city roads that can be captured after the monitoring equipment is installed, without adjusting the shooting direction of the monitoring equipment. Correspondingly, the monitoring equipment information includes the installation location of accessible devices and the city road monitoring range.

[0040] In some implementations, the urban road hazard data monitoring and management system may include an equipment information server to store monitoring equipment information corresponding to the monitoring equipment in the system. Monitoring equipment information can be directly obtained from the equipment information server, and accessible equipment can be determined by analyzing this information.

[0041] In other implementations, the data management device can send an information retrieval command to the monitoring device. Upon receiving the command, the monitoring device can respond by sending corresponding monitoring device information back to the data management device. The monitoring device corresponding to the received monitoring device information can then be considered a connectable device.

[0042] S202. Based on the location of the accessible devices and the urban road monitoring range, determine the current shooting mode of the accessible devices and the target monitoring range corresponding to the current shooting mode, and control the accessible devices to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data.

[0043] When taking pictures at the location where the accessible device is installed, using a shooting method that is not adjusted may not be suitable for shooting and monitoring urban roads. Therefore, the current shooting method of the accessible device can be selected during actual operation. The current shooting method can be the shooting method for shooting urban roads at the current moment and can be stored in the aforementioned device information server. Simultaneously, the device information server can also store the urban road monitoring range corresponding to various shooting methods, where the urban road monitoring range corresponding to the current shooting method can be used as the target monitoring range. The monitoring content data can include video footage captured by the accessible device, and can also include corresponding audio data.

[0044] Specifically, several shooting modes for the designated locations of accessible devices can be obtained directly from the device information server. These shooting modes may include those with the best tracking performance and the widest shooting range. After selecting the appropriate shooting mode, the corresponding target monitoring range can be chosen from the device information server. The obtained shooting mode is then sent to the corresponding accessible device, controlling it to shoot within the target monitoring range according to the selected mode. The accessible device can then send the captured monitoring data to the data management device.

[0045] In some implementations, the monitoring equipment information may also include details such as the rotation angle of different accessible devices. The current shooting method can be adjusted based on the location of each accessible device and the corresponding urban road monitoring range.

[0046] S203. Based on the monitoring data, determine the current moving target and its speed within the target monitoring range.

[0047] The current moving target can include objects capable of movement such as vehicles and pedestrians. Accessible devices can include speed detection modules, and correspondingly, the monitored data can include the real-time speed of the moving target. The shape data of the current moving target at different angles can be stored in the device information server to determine whether it is a moving target. The shape data can be data corresponding to the shapes that a person or vehicle may exhibit at different angles, distances, and speeds.

[0048] Specifically, shape data can be extracted from the device information server, and image analysis can be performed on the image data included in the monitoring content data to determine the currently moving target within the target monitoring range. Then, the movement speed of the currently moving target can be directly extracted from the monitoring content data; this movement speed may correspond to one or multiple values.

[0049] Preferably, the current moving targets can be primarily identified as vehicles and pedestrians. The data management device may include a vehicle and pedestrian data analysis module, which can perform vehicle and pedestrian data analysis on the image data included in the monitored content data to clearly determine the current moving targets.

[0050] S204. Obtain weather information and preset hazard impact range, and determine the driving hazard coefficient of the current moving target based on the weather information, the setting location of accessible devices, preset hazard impact range, preset hazard rules and moving speed, so as to predict the corresponding accidents.

[0051] The urban road hazard data monitoring and management system can be linked to a meteorological information platform to obtain real-time weather information. This information can include specific weather conditions at different times, such as light rain at 2 PM, visibility of 7 kilometers, and high humidity.

[0052] The preset hazard impact range can be a pre-determined area on different urban roads that may pose a danger to moving targets on that road, along with its associated range. Dangerous areas may include sharp turns, areas where large vehicles converge, areas with road surface damage, and accident zones. When a moving target travels at a speed below the urban road speed limit, and weather conditions do not affect the road surface, this area may affect moving targets within a preset urban road area. This preset urban road area can be considered the impact range, and the aforementioned impact may vary depending on the moving target's speed and / or weather conditions. For example, if a moving target is traveling on an urban road with a sharp turn, the impact range corresponding to this sharp turn could be 70 square meters. When reaching the edge of this range, if the moving target's speed exceeds the speed limit at the turn, and it is raining lightly, resulting in high road surface moisture and reduced braking ability, the impact on the moving target increases. Information related to the preset hazard impact range can be stored in the aforementioned device information server.

[0053] Preset hazard rules can be used to represent what kind of hazard a moving target might have at different speeds under different preset hazard ranges and different weather conditions, and what coefficient this hazard might correspond to.

[0054] In some implementations, the relationship between the preset hazard range, weather information, the moving target's speed, the corresponding hazard, and the moving hazard coefficient in the preset hazard rules can be determined by establishing a hazard prediction model. The preset hazard range, historical weather information, historical moving speed, historically occurring hazards, and corresponding moving hazard coefficients can be input into the hazard prediction model for training, resulting in a trained hazard prediction model. Based on the location of the accessible device, the current city road can be determined. Then, the preset hazard range for that city road can be retrieved from the device information server, and the current weather information can be retrieved from the meteorological information platform. The preset hazard range, weather information, and moving speed are input into the trained hazard prediction model, directly outputting the potential hazards faced by the moving target and the corresponding moving hazard coefficients. Then, combined with the specific moving speed and the preset hazard impact unit, the possible types of accidents can be predicted.

[0055] S205. Obtain information on warning devices on urban roads corresponding to the accessible devices and information on receiving devices of the current moving target.

[0056] Warning device information may include the warning device itself, its location, and the warning method. Warning devices may include laser warning lights, LED warning signs, etc. Receiving device information may include devices that can receive external messages and their specific usage details. Devices that can receive external messages may include car radios, personally identifiable mobile phones, etc.

[0057] Specifically, when a mobile target purchases a vehicle, their personal identity and the purchased vehicle can be stored together on a relevant platform. The urban road hazard data monitoring and management system can interact with this platform and warning devices on urban roads. The system can obtain information about the receiving devices of the mobile trolleys from the platform and simultaneously send a signal requesting their use to the warning devices on urban roads. The warning devices can then respond with information that includes their own information.

[0058] S206. Based on the warning equipment information, receiving equipment information, and mobile hazard coefficient, determine the response measures for the accidents corresponding to the mobile hazard coefficient.

[0059] Response measures may include providing text or light alerts through warning devices, providing voice alerts through receiving devices, and alerting relevant departments.

[0060] Specifically, the equipment information server can store several possible accidents corresponding to different mobility hazard levels, as well as corresponding response measures. It can extract accessible warning devices and their locations from received warning device information. Then, it can extract devices that can be used to alert moving targets and information on whether those devices are usable. Based on this, it can extract response measures for several accidents corresponding to the mobility hazard levels determined in step S205 from the equipment information server. Then, it can filter the response measures based on the current availability of accessible warning devices and receiving devices. If multiple response measures are available, the first response measure listed in the equipment information server can be used as the response measure for the accident corresponding to the mobility hazard level.

[0061] In this embodiment, the data management device can determine which devices can be accessed based on the acquired monitoring device information. This monitoring device information may include the location of the accessible devices and their corresponding urban road monitoring range. Based on the location of the accessible devices and their corresponding urban road monitoring range, the device can determine its current shooting mode and the target monitoring range corresponding to that mode, and capture data to cover as much urban road as possible. By analyzing the monitoring data, the device can identify the moving targets within the target monitoring range and their speeds. Then, weather information and preset hazard impact ranges can be acquired. Based on this, combined with the location of the accessible devices, preset hazard rules, and movement speed, the movement hazard coefficient of the moving target can be determined, yielding movement hazard coefficients corresponding to various possible unexpected situations. By acquiring warning device information on the urban roads corresponding to the accessible devices and the receiving device information of the moving targets, and then combining this with the movement hazard coefficients, potential accidents can be predicted, and corresponding countermeasures can be determined. This improves the ability to predict unexpected situations, enabling timely responses when they occur.

[0062] In some embodiments, the above method may further include: determining the urban road to which the accessible device belongs, and determining the total number of accessible devices on the urban road; determining the blind spots on the urban road based on the monitoring equipment information of the total number of accessible devices; Correspondingly, the above-mentioned determination of the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range can specifically include: determining the default shooting mode of the accessible device based on the setting location of the accessible device; adjusting the default shooting mode based on the shooting blind spot and the urban road monitoring range to obtain the current shooting mode of the accessible device.

[0063] The overall access device can be all the surveillance equipment installed on urban roads. Blind spots are areas that cannot be captured by the overall access device's urban road monitoring range. The current shooting mode can be an adjusted shooting mode based on the default shooting mode of the accessible devices. This can include when or under what circumstances the accessible devices rotate left or right, or up or down to shoot, or how they track and film vehicles or pedestrians under certain conditions. The default shooting mode can be a pre-set shooting mode. The default shooting mode may differ for accessible devices in different locations; therefore, the default shooting mode of the accessible devices can be stored in the device information server. The device information server can also store the installation status of surveillance equipment on different urban roads, including the number of surveillance devices installed and the control methods of the surveillance devices.

[0064] In some implementations, the city road to which the accessible device belongs can be determined based on the monitoring equipment information of the accessible devices. Then, the overall accessible devices on this city road are retrieved from the device information server. First, the default shooting mode of the accessible devices is obtained from the device information server. Then, based on the setting positions of each accessible device in the overall accessible device list, the distance between any two adjacent accessible device settings can be determined. Combining this with the city road monitoring range of each accessible device, the blind spots of two adjacent accessible devices without rotation can be determined. Based on the size of the blind spot, without affecting the normal city road monitoring range, the default shooting mode of the accessible devices is adjusted to obtain the current shooting mode, so that the current shooting mode can cover as much of the blind spot as possible. Then, the target monitoring range corresponding to the current shooting mode can be obtained from the device information server.

[0065] This embodiment can determine the corresponding shooting blind spots after identifying the urban roads that can be accessed by the device. Based on the shooting blind spots, the default shooting mode of the accessible device is adjusted. The resulting current shooting mode is more suitable for the accessible device to monitor urban roads. At the same time, the monitoring data captured by the current shooting mode covers a wider range of data, which is more beneficial for predicting possible accidents.

[0066] In some embodiments, the monitoring device information described above also includes image clarity; the method described above may further include: acquiring the image clarity of the monitored content data; Correspondingly, the above-mentioned determination of the current moving target and its speed within the target monitoring range based on the monitoring content data may specifically include: clarifying the monitoring content data according to the image clarity; analyzing the clarified monitoring content data to determine the current moving target within the urban road monitoring range; and extracting each frame of the image from the monitoring content data for image analysis to obtain the speed of the current moving target.

[0067] Image sharpness refers to the clarity of details and boundaries captured by a connected device during shooting. Different connected devices may have varying image sharpness due to differences in manufacturing processes. Sharpening processing can involve operations such as high-definition restoration, color restoration, and rapid noise reduction.

[0068] Specifically, the image resolution corresponding to the accessible device can be extracted from the monitoring content data. Based on this resolution, the monitoring content data can then be processed to achieve higher resolution. The vehicle and pedestrian data analysis module described in the above embodiment can then be used to analyze each frame of the image data included in the monitoring content data to determine the current moving target. Simultaneously, the distance the moving target has moved within the target monitoring range per unit time can be obtained, thus determining the target's speed.

[0069] This embodiment can perform image enhancement processing based on the clarity of the captured monitoring content data. Based on the enhanced monitoring content data, it can analyze the current moving target and its corresponding speed, making the analysis results more accurate and reliable.

[0070] In some embodiments, the process of acquiring weather information and a preset hazard impact range, and determining the movement hazard coefficient of the current moving target based on the weather information, the location of the accessible device, the preset hazard impact range, preset hazard rules, and movement speed, in order to predict the corresponding accident, may specifically include: acquiring weather information and a preset hazard impact range, wherein the preset hazard impact range includes a hazard area and hazard information; matching the hazard area with the location of the accessible device to determine a sub-hazard impact range corresponding to the location, wherein the preset hazard impact range contains several sub-hazard impact ranges; analyzing the hazard information included in the sub-hazard impact ranges to obtain abnormal road areas and default hazard factors within the sub-hazard impact ranges; updating the default hazard factors based on the weather information to determine the actual hazard factors; and determining the movement hazard coefficient of the current moving target under movement speed, abnormal road areas, and actual hazard factors based on preset hazard rules, in order to predict the corresponding accident.

[0071] The preset hazard impact range can include specific information about potential hazards, i.e., hazard information, and also the area that the hazard may affect, i.e., the hazard area area. Various preset hazard impact units on different city roads can be stored in the device information server. Sub-hazard impact ranges can be the areas that can be captured by accessible devices at different locations. Therefore, a preset hazard impact range can contain several sub-hazard impact ranges. Abnormal road areas can be specific hazardous locations, such as sharp turns, rapid downhill slopes, severely damaged road surfaces, or roads with large vehicle congestion, etc.

[0072] Default hazard factors can be factors that may trigger accidents in abnormal road areas. For example, the default hazard factor for sharp turns and rapid downhill slopes might be excessive speed; the default hazard factor for severely damaged road surfaces might be dents or bumps that could damage vehicle tires; and the default hazard factor for roads with a high concentration of large vehicles might be the rollover of large vehicles, items falling from vehicles, or excessively high speed of the moving target. Actual hazard factors can be a combination of new hazard factors, such as slippery roads in rainy weather, and default hazard factors, taking into account weather conditions.

[0073] Specifically, referring to the implementation method of step S204 above, weather information and preset hazard impact range are obtained. Then, the location of the accessible device is matched with the area of ​​the hazard range to determine which sub-hazard impact range the accessible device's location falls within. Since the accessible device's location may be at the center of the entire monitoring range, the sub-hazard impact range determined primarily by the accessible device's location can affect the captured moving target. Hazard information is analyzed to identify any abnormal road areas and their default hazard factors. Weather information can be combined to analyze changes in weather conditions within the current sub-hazard impact range and the impact on the current moving target, updating the default hazard factors to obtain the actual hazard factors. Then, referring to the implementation method of step S204 above, based on preset hazard rules, the movement hazard coefficient of the current moving target under the corresponding movement speed, the aforementioned abnormal road areas, and the actual hazard factors is determined to predict corresponding accidents.

[0074] This embodiment obtains abnormal road areas and default hazard factors within the sub-hazard influence range based on hazard information. Then, it updates the default hazard factors by combining weather information, so that the updated actual hazard factors cover more factors that may affect the occurrence of accidents, making the prediction results of accidents more accurate when accidents occur.

[0075] In some embodiments, the above method may further include: receiving a monitoring and tracking instruction from an associated department, the monitoring and tracking instruction carrying historical location information of the monitored person; predicting the monitored person's possible movement routes based on the historical location information; obtaining blind spots on the possible movement routes and the location information and corresponding road condition information corresponding to the blind spots; classifying the possible movement routes based on the location information and road condition information to obtain classification results, the classification results including possible movement routes for rapid departure and possible movement routes for evading capture; sending the classification results to the associated department and receiving a feedback instruction from the associated department, the feedback instruction carrying selection information for the possible movement routes; determining the corresponding accessible device based on the selection information; controlling the accessible device to monitor the possible movement routes corresponding to the feedback instruction in real time, and sending the generated monitoring data to the associated department.

[0076] Related departments can include police stations, hospitals, and other departments that need to track and locate objects through the associated urban road hazard data monitoring and management system. Monitoring and tracking instructions can be instructions sent by related departments to request the tracking of moving targets; in this case, the moving target can be referred to as the monitored object. Historical location information can include the location of the monitored object at any point before the data management device receives the monitoring and tracking instruction, specifically showing which location was captured by which accessible device.

[0077] Optional movement routes can be routes that connect to historical locations based on historical location information, indicating the possible direction of movement. The more historical locations included, the more accurate the optional movement routes. Road condition information includes information on the technical condition of existing roadbeds, pavements, structures, and ancillary facilities along the optional movement routes. Rapid departure type refers to situations where road condition information indicates no traffic congestion, allowing for rapid movement on urban roads. Escape from camera type refers to situations where the number of installed or accessible surveillance devices on urban roads is limited, resulting in numerous blind spots. Feedback instructions can be commands from relevant departments to select optional movement routes after receiving the classification results, and may include specific selection information. Monitoring data can be data obtained by data management devices based on feedback instructions from relevant departments.

[0078] Specifically, the urban road hazard data monitoring and management system can interact with relevant departments. Upon receiving monitoring and tracking instructions from these departments, it extracts the historical location information of the monitored individuals and predicts their possible routes based on this information. Then, it retrieves the specific location information of blind spots on urban roads corresponding to the possible routes and the corresponding road conditions from the device information server. Analyzing the blind spots and road conditions, it categorizes the possible routes into two types: those for rapid departure and those for evading capture. The classification results are sent to relevant departments, which can then select possible routes based on their understanding of the monitored individuals or their predictions. They then send a feedback instruction carrying this selection information to the urban road hazard data monitoring and management system. The data management equipment analyzes this feedback instruction and, based on the selection information, determines which devices can be accessed along the selected possible routes. These accessible devices can then monitor the selected possible routes in real time, and the generated monitoring data is synchronized with the relevant departments.

[0079] In some implementations, the data management device can adjust the shooting mode of accessible devices on the mobile route selected by the feedback instruction, so as to ensure that the monitored person is always captured in the picture.

[0080] This embodiment predicts the possible movement routes of a designated monitored individual based on tracking instructions from relevant departments. Then, it can perform real-time monitoring of the selected possible movement routes as needed by the relevant departments. This improves the efficiency of the data monitoring and management system in monitoring and tracking. Furthermore, the monitored individuals that relevant departments need to track and monitor may present unexpected situations. Therefore, real-time monitoring of monitored individuals also allows for timely handling of unexpected situations that occur on urban roads, reducing the threat to life and property safety posed to other moving targets.

[0081] In some embodiments, the above method may further include: determining whether the monitoring content data within the target monitoring range is abnormal stop data, wherein abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving within a preset emergency braking time range; if so, analyzing the moving target situation and environmental situation within the target monitoring range based on the abnormal stop data, and determining the current accident level based on the moving target situation and environmental situation; determining whether the current accident level is a high-risk level, and if so, obtaining the accurate location of the current accident and detecting the hazard handling personnel within the target monitoring range; generating a rescue prompt based on the moving target situation and environmental situation; and sending the rescue prompt and accurate location to the associated equipment of the hazard handling personnel.

[0082] The preset emergency braking time range can be a pre-defined range of time required to reduce the moving speed to zero due to sudden braking caused by factors such as collisions. If some monitoring data shows that the currently moving target stops moving within the preset emergency braking time range, this monitoring data can be considered as abnormal stopping data. If the currently moving target is a vehicle, the moving target condition can include dents in the vehicle; if the currently moving target is a person, the moving target condition can include blood on the road surface or other locations, and the specific details of the person's slow movement, crawling, or other behaviors; if the currently moving target includes both vehicles and people, it can include any of the aforementioned conditions. Environmental conditions can include delays, flames, destruction of surrounding facilities, and abnormally wet road surfaces. Abnormally wet road surfaces can refer to road surface wetness not caused by weather conditions, and the cause of the wetness may include blood, liquids from inside vehicles, etc., spilled onto the road surface.

[0083] The current accident level can be classified based on the moving target situation and environmental conditions. The equipment information data management device can store the corresponding current accident level under different moving target situations and environmental conditions. This can include low-risk, medium-risk, and high-risk levels, which can be differentiated based on the impact on the life and property safety of the moving target in actual implementation. Hazard response personnel can include police officers and medical personnel. Rescue prompts can be information carrying the current accident level and text prompts. Associated equipment can be devices that facilitate information exchange between hazard response personnel and the urban road hazard data monitoring and management system.

[0084] Specifically, by analyzing the monitoring data within the target monitoring range, it is determined whether the currently moving target has stopped moving within the preset emergency braking time range. If so, the monitoring data is considered abnormal stop data. Image analysis can then be performed to determine the moving target situation and environmental conditions within the preferred monitoring unit. Based on this, the corresponding current incident level is matched in the equipment information data management device. If the current incident level is high-risk, the precise location of the incident can be obtained by analyzing the monitoring data, while simultaneously detecting hazard handling personnel within the preferred monitoring range. In some implementations, the location of hazard handling personnel can be determined by detecting their associated devices. A rescue alert is generated based on the moving target situation and environmental conditions, and this alert, along with the precise location, is sent to the associated devices of the hazard handling personnel.

[0085] This embodiment can detect and analyze the received monitoring data in real time. After identifying abnormal stop data, further analysis is performed to determine the current accident level. If it is a high-risk level, timely rescue can be carried out by hazard handling personnel within the target monitoring range to minimize the loss of life and property of the moving target.

[0086] In some embodiments, generating a rescue prompt based on the moving target and environmental conditions may specifically include: determining first accident information based on the moving target, the first accident information carrying personal injury information at the exact location where the accident occurred; determining second accident information based on the environmental conditions, the second accident information carrying environmental damage information at the exact location where the accident occurred; and generating a rescue prompt based on the personal injury information and the environmental damage information.

[0087] The first type of accident information refers to the specific damage to the character at the exact location where the accident occurred. This can be determined based on image analysis, such as bleeding, the character crawling slowly, moving, or being unable to move. The second type of accident information refers to the specific damage to surrounding facilities other than the character at the exact location of the accident. This can be determined based on the damage to vehicles, surrounding buildings, plants, fences, etc.

[0088] In some implementations, image analysis and the vehicle and person data analysis module in the above embodiments can be used to analyze the situation of the moving target and the environment, obtain the injury status of the current moving target and the damage status of the surrounding environment, and generate corresponding first accident information and second accident information respectively. Then, the specific content of the second accident information can be analyzed to determine whether the damage to the current surrounding environment may pose a new threat to the current moving target, such as a gasoline leak that may cause a vehicle explosion. Combined with the situation of the person in the first accident information, a rescue prompt containing information such as the person's injury status, the threat in the current environment, and hidden threats can be generated.

[0089] This embodiment can perform a detailed analysis of the moving target's situation and the environmental conditions, further obtaining first accident information carrying personnel injury information and second accident information carrying environmental damage information. Combining the personnel injury information and environmental damage information, specific rescue prompts are generated, making the content of these prompts richer and more detailed. When receiving a rescue prompt, hazard response personnel can quickly react by identifying the rescue tools they need to carry and initiating rescue operations immediately, further reducing the loss of life and property of the currently moving target.

[0090] In other embodiments, when it is detected that some monitoring devices in the monitoring device information are not accessible, the monitoring device information of these monitoring devices can be sent to the management department to follow up on the reasons for the inability to access them.

[0091] Figure 3 This application provides a schematic diagram of the structure of an urban road hazard data monitoring and management device according to an embodiment of the present application. Figure 3As shown, the urban road hazard data monitoring and management device 300 of this embodiment includes: an accessible device determination module 301, a monitoring content data determination module 302, a monitoring content data analysis module 303, a mobile hazard coefficient determination module 304, an information acquisition module 305, and a response measure determination module 306.

[0092] The accessible device determination module 301 is used to acquire monitoring device information and determine accessible devices based on the monitoring device information. The monitoring device information includes the setting location and the corresponding urban road monitoring range of the accessible device. The monitoring content data determination module 302 is used to determine the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range, and to control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data. The monitoring content data analysis module 303 is used to determine the current moving target and the moving speed of the current moving target within the target monitoring range based on the monitoring content data. The mobile hazard factor determination module 304 is used to acquire weather information and preset hazard impact range, and determine the mobile hazard factor of the current moving target based on the weather information, the setting location of the accessible device, the preset hazard impact range, the preset hazard rules and the moving speed, so as to predict the corresponding accident. The information acquisition module 305 is used to acquire information on warning devices on urban roads corresponding to the accessible devices and information on receiving devices of the current moving target; The response determination module 306 is used to determine the response measures for accidents corresponding to the mobile hazard coefficient based on the warning device information, the receiving device information, and the mobile hazard coefficient.

[0093] Optionally, the urban road hazard data monitoring and management device 300 also includes a blind spot determination module 307, used for: Determine the city roads where the accessible devices are located, and determine the total number of accessible devices on the city roads; Based on the overall monitoring equipment information of accessible devices, identify blind spots in urban roads; The monitoring content data determination module 302 is specifically used for: Determine the default shooting mode for the accessible devices based on their settings location; Based on the blind spots and the monitoring range of urban roads, the default shooting mode is adjusted to obtain the current shooting mode that can be accessed by the devices. Determine the corresponding target monitoring range based on the current shooting method.

[0094] Optionally, the monitoring equipment information also includes the image resolution; the urban road hazard data monitoring and management device 300 also includes an image resolution acquisition module 308, used for: Acquire the image clarity of the monitored content data; The monitoring content data analysis module 303 is specifically used for: Based on the image clarity, the monitored data is processed to improve its clarity. Analyze the enhanced surveillance data to identify the current moving targets within the urban road surveillance area; Each frame of the monitored data is extracted for image analysis to determine the current moving speed of the target.

[0095] Optionally, the mobile hazard determination module 304 is specifically used for: Obtain weather information and preset hazard impact ranges, which include the hazard area and hazard information; Match the area of ​​the danger zone with the location of the accessible devices to determine the danger impact range corresponding to the location. The preset danger impact range includes several danger impact ranges. Analyze the hazard information included in the hazard impact range to obtain abnormal road areas and default hazard factors within the hazard impact range; Based on weather information, update the default hazard factors and determine the actual hazard factors; Based on preset hazard rules, the movement hazard coefficient of the current moving target is determined under the conditions of movement speed, abnormal road areas, and actual hazard factors, so as to predict the corresponding accidents.

[0096] Optionally, the urban road hazard data monitoring and management device 300 also includes a monitoring and tracking module 309, used for: Receive monitoring and tracking instructions from relevant departments, which carry the historical location information of the monitored person; Based on historical location information, predict the possible movement routes of the monitored person; Obtain the shooting blind spots on the optional movement route, as well as the location information and corresponding road condition information of the shooting blind spots; Based on location and road condition information, the available routes are classified to obtain classification results, which include available routes for quick departure and available routes for avoiding traffic cameras. The classification results are sent to the relevant departments, and feedback instructions are received from the relevant departments, which carry information on the selection of alternative movement routes. Based on the selected information, determine the corresponding accessible devices; The system controls the selectable movement routes corresponding to the real-time monitoring feedback commands from the connected devices and sends the generated monitoring data to the relevant departments.

[0097] Optionally, the urban road hazard data monitoring and management device 300 also includes a rescue prompt generation module 310, used for: Determine whether the monitoring content data within the target monitoring range is abnormal stop data. Abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving within a preset emergency braking time range. If so, analyze the moving target situation and environmental conditions within the target monitoring range based on the abnormal stop data, and determine the current accident level based on the moving target situation and environmental conditions; Determine whether the current accident level is high-risk. If so, obtain the exact location of the current accident and detect the personnel handling the hazard within the target monitoring range. Based on the moving target and environmental conditions, generate rescue prompts; Send rescue alerts and precise locations to the associated devices of hazard responders.

[0098] Optionally, the rescue prompt generation module 310 is specifically used for: Based on the moving target situation, determine the first accident information, which carries the personnel injury information at the exact location where the accident occurred. Based on the environmental conditions, determine the second accident information, which carries environmental damage information at the exact location where the current accident occurred; Based on information about personal injuries and environmental damage, a rescue alert is generated.

[0099] The apparatus of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0100] Figure 4 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application, such as... Figure 4 As shown, the electronic device 400 of this embodiment may include a memory 401 and a processor 402.

[0101] The memory 401 stores a computer program that can be loaded by the processor 402 and execute the methods described in the above embodiments.

[0102] The processor 402 and the memory 401 are connected, for example, via a bus.

[0103] 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 does not constitute a limitation on the embodiments of this application.

[0104] Processor 402 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 402 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0105] A bus can include a pathway for transmitting information between the aforementioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is used in the diagram, but this does not imply that there is only one bus or one type of bus.

[0106] The memory 401 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0107] The memory 401 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 402. The processor 402 is used to execute the application code stored in the memory 401 to implement the content shown in the foregoing method embodiments.

[0108] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Data management devices are also included. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0109] The electronic device in this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0110] This application also provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the methods described in the above embodiments.

[0111] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for monitoring and managing hazardous data on urban roads, characterized in that, An application is made to an urban road hazard data monitoring and management system; the urban road hazard data monitoring and management system includes monitoring equipment and data management equipment, wherein the monitoring equipment and the data management equipment interact with each other; the urban road hazard data monitoring and management method is executed by the data management equipment, including: Acquire monitoring equipment information and determine accessible devices based on the monitoring equipment information, wherein the monitoring equipment information includes the setting location and the corresponding urban road monitoring range of the accessible devices; Based on the location of the accessible device and the urban road monitoring range, determine the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode, and control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data; Based on the monitored data, determine the current moving target within the target monitoring range and the moving speed of the current moving target; The process involves acquiring weather information and a preset hazard impact range, and determining the movement hazard coefficient of the current moving target based on the weather information, the location of the accessible device, the preset hazard impact range, preset hazard rules, and the movement speed, in order to predict corresponding accidents. Specifically, this includes: inputting the preset hazard impact range, the weather information, and the movement speed into a trained hazard prediction model, and outputting the hazard faced by the moving target and the corresponding movement hazard coefficient to predict corresponding accidents; the hazard prediction model is trained using the preset hazard range, historical weather information, historical movement speed, historically occurring hazards, and corresponding movement hazard coefficients; wherein, the preset hazard impact range is a pre-determined area and impact range on different urban roads that pose a hazard to moving targets on those urban roads; the preset hazard rules represent the hazard corresponding to different movement speeds of the moving target within different preset hazard ranges and under different weather information, and the corresponding coefficient for this hazard; the preset hazard rules constitute the hazard prediction model. Obtain information on warning devices on urban roads corresponding to the accessible devices and information on receiving devices of the current moving target; Based on the warning device information, the receiving device information, and the mobile hazard factor, determine the response measures for the accident corresponding to the mobile hazard factor; The method further includes: Determine the city road to which the accessible device belongs, and determine the total number of accessible devices on the city road; Based on the monitoring equipment information of the overall accessible devices, the blind spots for filming on the urban roads are determined; The step of determining the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range includes: The default shooting mode of the accessible device is determined based on the setting location of the accessible device; Based on the blind spot and the urban road monitoring range, the default shooting mode is adjusted to obtain the current shooting mode of the accessible device; Based on the current shooting method, determine the corresponding target monitoring range; The method further includes: Receive monitoring and tracking instructions from relevant departments, wherein the monitoring and tracking instructions carry the historical location information of the monitored person; Based on the historical location information, predict the possible movement routes of the monitored person; Obtain the shooting blind spots on the optional movement route, as well as the location information and road condition information corresponding to the shooting blind spots; Based on the location information and the road condition information, the optional movement routes are classified to obtain classification results. The classification results include optional movement routes for quick departure and optional movement routes for avoiding camera detection. The classification results are sent to the relevant department, and feedback instructions are received from the relevant department, the feedback instructions carrying information on the selection of optional movement routes; Based on the selection information, the corresponding accessible devices are determined; The system controls the accessible devices to monitor the selectable movement routes corresponding to the feedback commands in real time and sends the generated monitoring data to the relevant departments.

2. The method according to claim 1, characterized in that, The monitoring equipment information also includes image resolution; the method further includes: Obtain the image clarity of the monitored content data; The step of determining the current moving target and its moving speed within the target monitoring range based on the monitored content data includes: Based on the shooting resolution, the monitored content data is processed to improve clarity; Analyze the enhanced monitoring data to determine the current moving target within the target monitoring range; Each frame of image is extracted from the monitored data and analyzed to determine the moving speed of the current moving target.

3. The method according to claim 1, characterized in that, The process of acquiring weather information and a preset hazard impact range, and determining the movement hazard coefficient of the current moving target based on the weather information, the location of the accessible device, the preset hazard impact range, preset hazard rules, and the movement speed, in order to predict corresponding accidents, includes: Obtain weather information and a preset hazard impact range, wherein the preset hazard impact range includes the hazard area and hazard information; The dangerous area is matched with the location of the accessible device to determine the sub-danger influence range corresponding to the location. The preset dangerous influence range includes several sub-danger influence ranges. Analyze the hazard information included in the sub-hazard impact range to obtain abnormal road areas and default hazard factors within the sub-hazard impact range; Based on the weather information, update the default hazard factors and determine the actual hazard factors; Based on preset hazard rules, the movement hazard coefficient of the current moving target under the moving speed, the abnormal road area, and the actual hazard factors is determined in order to predict the corresponding accidents.

4. The method according to claim 1, characterized in that, Also includes: Determine whether the monitoring content data within the target monitoring range is abnormal stop data. The abnormal stop data is the monitoring content data corresponding to the detection that the current moving target stops moving within a preset emergency braking time range. If so, then based on the abnormal stop data, analyze the moving target situation and environmental situation within the target monitoring range, and determine the current accident level based on the moving target situation and the environmental situation; Determine whether the current accident level is high-risk. If so, obtain the exact location of the current accident and detect the personnel handling the danger within the target monitoring range. Based on the moving target situation and the environmental conditions, a rescue prompt is generated; The rescue alert and the exact location are sent to the associated device of the hazard responder.

5. The method according to claim 4, characterized in that, The step of generating a rescue prompt based on the moving target situation and the environmental situation includes: Based on the moving target situation, first accident information is determined, which carries personal injury information at the exact location where the current accident occurred. Based on the environmental conditions, a second accident information is determined, which carries environmental damage information at the exact location where the current accident occurred. Based on the personal injury information and the environmental damage information, a rescue prompt is generated.

6. A device for monitoring and managing hazardous data on urban roads, characterized in that, An application is made to an urban road hazard data monitoring and management system; the urban road hazard data monitoring and management system includes monitoring equipment and an urban road hazard data monitoring and management device, wherein the monitoring equipment and the urban road hazard data monitoring and management device interact with each other; The method described in any one of claims 1-5 is executed by the urban road hazard data monitoring and management device, comprising: The accessible device determination module is used to acquire monitoring device information and determine accessible devices based on the monitoring device information. The monitoring device information includes the setting location and the corresponding urban road monitoring range of the accessible device. The monitoring content data determination module is used to determine the current shooting mode of the accessible device and the target monitoring range corresponding to the current shooting mode based on the setting location of the accessible device and the urban road monitoring range, and control the accessible device to shoot the target monitoring range according to the current shooting mode to obtain the corresponding monitoring content data. The monitoring content data analysis module is used to determine the current moving target and the moving speed of the current moving target within the target monitoring range based on the monitoring content data. The mobile hazard coefficient determination module is used to acquire weather information and a preset hazard impact range, and determine the mobile hazard coefficient of the current mobile target based on the weather information, the setting location of the accessible device, the preset hazard impact range, the preset hazard rules, and the mobile speed, so as to predict the corresponding accident. The information acquisition module is used to acquire warning device information on urban roads corresponding to the accessible device and receiving device information of the current moving target; The response determination module is used to determine the response measures for the accident corresponding to the mobile hazard coefficient based on the warning device information, the receiving device information, and the mobile hazard coefficient.

7. An electronic device, characterized in that, include: Memory and processor; The memory is used to store program instructions; The processor is used to call and execute program instructions in the memory to perform the urban road hazard data monitoring and management method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program; when the computer program is executed by a processor, it implements the urban road hazard data monitoring and management method as described in any one of claims 1-5.

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