CN118379860B - Expressway service area event sensing and early warning system based on Internet of things - Google Patents
Expressway service area event sensing and early warning system based on Internet of things Download PDFInfo
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention relates to the technical field of event sensing, in particular to an event sensing and early warning system for a highway service area based on the Internet of things. The system comprises a server and a client, wherein the server comprises a video acquisition module, an event identification module, an event early warning module and an early warning feedback module; the video acquisition module is used for acquiring real-time monitoring videos of all areas uploaded by the service area; the event recognition module is preset with a trained violation event recognition model, inputs a real-time monitoring video into the violation event recognition model and judges whether a violation event and a violation event type exist or not; the event early warning module is used for generating an illegal event data packet and sending the data packet to the client when the illegal event exists, wherein the type and the area of the illegal event and the generation time of the illegal event; and the early warning feedback module is used for acquiring the processing result of the violation event fed back by the client. The method can automatically identify and early warn the illegal events existing in the server.
Description
Technical Field
The invention relates to the technical field of event sensing, in particular to an event sensing and early warning system for a highway service area based on the Internet of things.
Background
For expressway service area, as the open service type window of expressway to public, the vehicle is many, the traffic is big, cuts personnel unfixed, the emergent incident scene is many, the potential safety hazard also produces with it, to the control of potential safety hazard, traditional video monitoring, most need professional personnel watch real-time camera, but long-time watching can cause staff's visual fatigue and attention decline, thereby lead to false detection and omission, can't guarantee artifical examination effect. And meanwhile, when the following responsibility is pursued, the video monitoring system is complicated to call and replay the video, the time period of the accident occurrence needs to be positioned from the massive video, and the workload is high.
Disclosure of Invention
The invention solves the technical problem of providing an event sensing and early warning system for an expressway service area based on the Internet of things, which can automatically identify and early warn illegal events existing in a server.
The basic scheme provided by the invention is as follows: the expressway service area event sensing and early warning system based on the Internet of things comprises a server and a client, wherein the server comprises a video acquisition module, an event identification module, an event early warning module, an early warning feedback module, an event statistics module and a broadcasting control module;
the video acquisition module is used for acquiring real-time monitoring videos of all areas uploaded by the service area;
The event recognition module is preset with a trained violation event recognition model, inputs a real-time monitoring video into the violation event recognition model and judges whether a violation event and a violation event type exist or not;
The event early warning module is used for generating an illegal event data packet and sending the data packet to the client when the illegal event exists, wherein the type and the area of the illegal event and the generation time of the illegal event;
the early warning feedback module is used for acquiring a processing result of the violation event fed back by the client;
The system also comprises an event broadcasting board;
the event statistics module is used for analyzing the high-incidence time period and the high-incidence type of the illegal event in each area according to the illegal event data packet;
and the broadcasting control module is used for controlling the display content of the event broadcasting boards in each area so that the event broadcasting boards in each area display the high-incidence type illegal events in the current period.
The principle and the advantages of the invention are as follows: and identifying whether an object in the real-time monitoring video has an illegal event or not through a real-time monitoring video shot in the intervention service area and a pre-trained illegal event identification model. When the existence of the illegal event is identified, the type of the illegal event and the generated area are packaged and sent to the client side, so that the client side can know that the illegal event exists in the service area in time by using personnel, and then the processing result of the illegal event is obtained, and the processing result of the illegal event is obtained.
Compared with the prior art, the method has the advantages that the recognition model of the illegal event is trained in advance, videos acquired in real time are input into the recognition model, so that a traditional mode that monitoring is needed to be checked manually is replaced, a worker only needs to check the content in the illegal event data packet when receiving the illegal event data packet, process the illegal event, and upload the processing result of the illegal event afterwards. By counting the illegal events in each area, the high-incidence type of different time periods is identified, for example, the event that people gather can easily occur when people are more in holiday service areas, and the illegal parking time can occur when vehicles are more. And displaying the current easy-to-generate illegal events through the event broadcasting board in different areas and different time periods, so that personnel in the areas are informed, and the illegal events are avoided.
Further, the server also comprises an event recording module and an event inquiring module;
the event recording module is used for storing the illegal event data packet;
The event inquiry module is used for acquiring an inquiry request which is sent by the client and contains search conditions, and calling the corresponding stored violation event data packet according to the search conditions to be sent to the client, wherein the search conditions comprise event types, areas and generation time.
The data package of the violation event is stored, so that the violation event can be conveniently inquired afterwards, and the violation event in the corresponding area, the violation event of each type and the violation event generated in different periods can be inquired according to the retrieval conditions.
Further, the server also comprises a region identification module;
the area identification module is used for identifying the occurrence times of different types of violation events in each area according to the stored violation event data packet, and setting the priority of the violation event in each area according to the occurrence times of the different types of violation events, wherein the higher the occurrence times are, the higher the priority of the violation event is;
And the event identification module is also used for identifying the type of the illegal event according to the priority of the illegal event according to the area generated by the real-time monitoring video when the type of the illegal event is identified.
Multiple areas exist in the expressway server, different areas have different numbers of times of generated illegal event types due to different scenes, for example, the square areas are easy to generate illegal events such as personnel gathering, open fire and the like. The highway area outside the service area is easy to generate high-speed illegal events on pedestrians. According to the historical stored violation event data packet, the times of different violation events generated in each area are identified, the priority of the types of the violation events in each area is set, and when the recognition is carried out, the recognition priority of the types of the violations is adjusted according to the area generated by the real-time monitoring video, so that the recognition of all types of the violation events is not needed, and the load of a server is reduced.
Further, the server also comprises a broadcasting statistical module and a broadcasting strategy module;
The event statistics module is also used for respectively counting the occurrence times of various types of illegal events in each area in the period according to the illegal event data packet generated in the period;
The broadcasting statistics module is used for respectively counting broadcasting time of each regional event broadcasting board in the period to each type of illegal event according to the broadcasting condition of the event broadcasting board;
And the broadcasting strategy module is used for judging whether the broadcasting strategy is effective according to the occurrence times of all types of illegal events in all areas in the period, the priority of the illegal events in the areas and the broadcasting duration of all illegal events, adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is ineffective, and not adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is effective.
After the event priority of each area is identified, the occurrence times of the illegal events of each area in the period and the broadcasting time of the information board in each area are counted. Therefore, whether the illegal event is broadcasted through the event broadcasting board or not is judged, whether the high-incidence illegal event in the area is effectively reduced or not is reflected, and when the current broadcasting strategy is invalid, the current broadcasting strategy is adjusted.
Further, the broadcasting strategy module comprises a first judging module and a strategy adjusting module;
The first judging module is used for identifying the occurrence frequency of each illegal event which is broadcasted in the period and the change proportion of the number of the illegal events which is not broadcasted, and judging that the broadcasting strategy is invalid when the change proportion is lower than a preset change threshold value;
And the strategy adjustment module is used for generating a first adjustment strategy when the change proportion is lower than a preset change threshold value, wherein the first adjustment strategy is used for increasing the broadcasting duration and coverage area of the illegal event with the change proportion lower than the change threshold value.
When the reduction proportion of the occurrence times of the illegal events broadcasted in the period is low, the reduction effect of the illegal events is not obvious, and the illegal event broadcasting is judged to be invalid. And then the broadcasting time and coverage area of the illegal event are increased.
Further, the broadcasting strategy module comprises a second judging module,
The second judging module is used for judging whether the occurrence times of various types of illegal events in the area in the period are consistent with the priority of the events in the area after the first judging module judges that the first judging module is finished, and identifying other illegal events of which the occurrence times are more than that of the illegal events for broadcasting when the occurrence times are not consistent with the priority of the events in the area;
And the broadcasting strategy module is used for adjusting according to the first adjustment strategy when the occurrence times of various types of illegal events in the area in the period are consistent with the priority of the events in the area, and generating a second adjustment strategy when the occurrence times of the illegal events in the area in the period are not consistent with the priority of the events in the area, wherein the second adjustment strategy is to mark other illegal events of which the occurrence times in the period are more than those of the illegal events for broadcasting as high-incidence type for broadcasting.
When the reduction ratio of the illegal events is low, judging whether the occurrence times of the illegal events are consistent with the priority of the events in the area. Whether the number of times of illegal events is ordered is consistent with the priority of the events. Assume that the event priorities within the region are: stage 1: event a, level 2: event b, stage 3: event c, level 4: event d. The occurrence times of the event a are 10 times, the occurrence times of the event b are 8 times, the occurrence times of the event c are 5 times, and the occurrence times of the event d are 3 times, so that the event a is matched. If the occurrence number of the event a is 6 times, the event a does not coincide. And when the time is inconsistent, broadcasting the illegal event with the front occurrence times in the corresponding time period in the area due to the fact that the broadcasting is performed. And when the reduction ratio of the broadcasted illegal events is low, but the ranking is changed, other illegal events in the area, which are relatively close to the occurrence frequency of the high-frequency type, are indicated. Because the high-frequency events are broadcasted, after the broadcasted high-frequency events are influenced, the occurrence frequency of the high-frequency events is reduced, and the ranking of other illegal events is changed without change. At this time, other illegal events are also broadcast.
Further, the broadcasting strategy module further comprises a third judging module;
The third judging module is used for judging whether the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the illegal events with the priority of the event after the second judging module judges that the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the event, marking the first illegal event as the illegal event, marking the occurrence frequency of each type of illegal events in the area in the period as the second illegal event, and identifying whether the occurrence frequency difference value between the first illegal event and the second illegal event is within the preset difference value range;
And the broadcasting strategy module is also used for adjusting according to the second adjusting strategy when the difference value of the occurrence times of the first violation event and the second violation event is within a preset difference value range, and generating a third adjusting strategy when the difference value is not within the preset difference value range, wherein the third adjusting strategy is used for reducing the broadcasting duration and the coverage of the first violation event and increasing the broadcasting duration and the coverage of the second violation event when the second violation event is broadcasted.
Further, the server also comprises a statistics module for carrying out event statistics according to the real-time monitoring video, wherein the statistics module comprises a people flow module, a vehicle queuing length module and a personnel queuing length module;
the people flow rate module is used for counting the people flow rate in each area;
the traffic flow module is used for counting traffic flow in each area;
the vehicle queuing length module is used for counting the length of vehicle queuing in each area;
And the personnel queuing length module is used for counting the queuing length of the personnel in each area.
Drawings
FIG. 1 is a logic block diagram of an embodiment of an event awareness and early warning system for a highway service area based on the Internet of things.
Detailed Description
The following is a further detailed description of the embodiments:
An example is substantially as shown in figure 1:
the system for sensing and early warning events in the expressway service area based on the Internet of things comprises a server and a client, wherein the server comprises a video acquisition module, an event identification module, an event early warning module and an early warning feedback module.
The video acquisition module is used for acquiring the real-time monitoring video of each area uploaded by the service area. Specifically, by installing monitoring cameras in each area, video is collected by the monitoring cameras for uploading.
The event recognition module is preset with a trained violation event recognition model, inputs the real-time monitoring video into the violation event recognition model and judges whether a violation event and a violation event type exist or not. The types of violations identified in this embodiment include high speed on pedestrians, people gathering, prohibited area entry violations, vehicle parking violations, and open flame. Wherein pedestrian high speed means monitoring whether pedestrians are present for highways outside the service area. The people gathering means that a threshold value of the number of people is set for a square of a service area, and whether the number of people in the set area exceeds the threshold value is detected. The prohibited area entering means detects whether or not a vehicle is present in the set prohibited area entering. The illegal parking of the vehicle refers to detecting whether the vehicle parks a corresponding vehicle type according to the parking space planning of the service area.
And the event early warning module is used for generating an offending event data packet to be sent to the client side according to the offending event type, the area, the generation time of the offending event and the offending event video when the offending event exists.
And the early warning feedback module is used for acquiring the processing result of the violation event fed back by the client.
The principle and the advantages of the invention are as follows: and identifying whether an object in the real-time monitoring video has an illegal event or not through a real-time monitoring video shot in the intervention service area and a pre-trained illegal event identification model. When the existence of the illegal event is identified, the type of the illegal event and the generated area are packaged and sent to the client side, so that the client side can know that the illegal event exists in the service area in time by using personnel, and then the processing result of the illegal event is obtained, and the processing result of the illegal event is obtained.
According to the scheme, the recognition model of the violation event is trained in advance, and videos acquired in real time are input into the recognition model, so that a traditional mode that monitoring is required to be checked manually is replaced, a worker only needs to check the content in the violation event data packet when receiving the violation event data packet, process the violation event, and upload the processing result of the violation event afterwards.
The server also comprises an event recording module and an event inquiring module.
And the event recording module is used for storing the illegal event data packet.
The event inquiry module is used for acquiring an inquiry request which is sent by the client and contains search conditions, and calling the corresponding stored violation event data packet according to the search conditions to be sent to the client, wherein the search conditions comprise event types, areas and generation time.
The data package of the violation event is stored, so that the violation event can be conveniently inquired afterwards, and the violation event in the corresponding area, the violation event of each type and the violation event generated in different periods can be inquired according to the retrieval conditions.
The server also includes a region identification module.
The area identification module is used for identifying the occurrence times of different types of violation events in each area according to the stored violation event data packet, and setting the priority of the violation events in each area according to the occurrence times of the different types of violation events, wherein the higher the occurrence times are, the higher the priority of the violation events are.
And the event identification module is also used for identifying the type of the illegal event according to the priority of the illegal event according to the area generated by the real-time monitoring video when the type of the illegal event is identified.
Multiple areas exist in the expressway server, different areas have different numbers of times of generated illegal event types due to different scenes, for example, the square areas are easy to generate illegal events such as personnel gathering, open fire and the like. The highway area outside the service area is easy to generate high-speed illegal events on pedestrians. According to the historical stored violation event data packet, the times of different violation events generated in each area are identified, the priority of the types of the violation events in each area is set, and when the recognition is carried out, the recognition priority of the types of the violations is adjusted according to the area generated by the real-time monitoring video, so that the recognition of all types of the violation events is not needed, and the load of a server is reduced.
The system comprises a server, an event counting module, an event broadcasting control module and an event broadcasting board.
The event statistics module is used for analyzing the high-incidence time period and the high-incidence type of the illegal event in each area according to the illegal event data packet.
And the broadcasting control module is used for controlling the display content of the event broadcasting boards in each area so that the event broadcasting boards in each area display the high-incidence type illegal events in the current period.
By counting the illegal events in each area, the high-incidence type of different time periods is identified, for example, the event that people gather can easily occur when people are more in holiday service areas, and the illegal parking time can occur when vehicles are more. And displaying the current easy-to-generate illegal events through the event broadcasting board in different areas and different time periods, so that personnel in the areas are informed, and the illegal events are avoided.
The server also comprises a statistics module for carrying out event statistics according to the real-time monitoring video, wherein the statistics module comprises a people flow module, a vehicle queuing length module and a personnel queuing length module.
And the people flow rate module is used for counting the people flow rate in each area.
And the traffic flow module is used for counting traffic flow in each area.
And the vehicle queuing length module is used for counting the vehicle queuing length in each area.
And the personnel queuing length module is used for counting the queuing length of the personnel in each area.
The people flow, the traffic flow, the vehicle queuing length and the personnel queuing length in the service area are counted, the real-time monitoring is carried out, the occurrence of unexpected events caused by excessive personnel quantity in certain areas of the people in the service area is avoided, and the safety of the personnel and the vehicles in the service area is ensured.
Example two
The difference between this embodiment and the first embodiment is that: the server also comprises a broadcasting statistical module and a broadcasting strategy module;
The event statistics module is also used for respectively counting the occurrence times of various types of illegal events in each area in the period according to the illegal event data packet generated in the period;
The broadcasting statistics module is used for respectively counting broadcasting time of each regional event broadcasting board in the period to each type of illegal event according to the broadcasting condition of the event broadcasting board;
And the broadcasting strategy module is used for judging whether the broadcasting strategy is effective according to the occurrence times of all types of illegal events in all areas in the period, the priority of the illegal events in the areas and the broadcasting duration of all illegal events, adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is ineffective, and not adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is effective.
After the event priority of each area is identified, the occurrence times of the illegal events of each area in the period and the broadcasting time of the information board in each area are counted. Therefore, whether the illegal event is broadcasted through the event broadcasting board or not is judged, whether the high-incidence illegal event in the area is effectively reduced or not is reflected, and when the current broadcasting strategy is invalid, the current broadcasting strategy is adjusted.
The broadcasting strategy module comprises a first judging module, a second judging module, a third judging module and a strategy adjusting module;
The first judging module is used for identifying the occurrence frequency of each illegal event which is broadcasted in the period and the change proportion of the number of the illegal events which is not broadcasted, and judging that the broadcasting strategy is invalid when the change proportion is lower than a preset change threshold value;
And the strategy adjustment module is used for generating a first adjustment strategy when the change proportion is lower than a preset change threshold value, wherein the first adjustment strategy is used for increasing the broadcasting duration and coverage area of the illegal event with the change proportion lower than the change threshold value.
When the reduction proportion of the occurrence times of the illegal events broadcasted in the period is low, the reduction effect of the illegal events is not obvious, and the illegal event broadcasting is judged to be invalid. And then the broadcasting time and coverage area of the illegal event are increased.
The second judging module is used for judging whether the occurrence times of various types of illegal events in the area in the period are consistent with the priority of the events in the area after the first judging module judges that the first judging module is finished, and identifying other illegal events of which the occurrence times are more than that of the illegal events for broadcasting when the occurrence times are not consistent with the priority of the events in the area;
And the broadcasting strategy module is used for adjusting according to the first adjustment strategy when the occurrence times of various types of illegal events in the area in the period are consistent with the priority of the events in the area, and generating a second adjustment strategy when the occurrence times of various types of illegal events in the area in the period are not consistent with the priority of the events in the area, wherein the second adjustment strategy is used for reducing the broadcasting duration of the illegal events for broadcasting and marking other illegal events with occurrence times exceeding the illegal events for broadcasting in the period as high-incidence types for broadcasting.
When the reduction ratio of the illegal events is low, judging whether the occurrence times of the illegal events are consistent with the priority of the events in the area. Whether the number of times of illegal events is ordered is consistent with the priority of the events. Assume that the event priorities within the region are: stage 1: event a, level 2: event b, stage 3: event c, level 4: event d. The occurrence times of the event a are 10 times, the occurrence times of the event b are 8 times, the occurrence times of the event c are 5 times, and the occurrence times of the event d are 3 times, so that the event a is matched. If the occurrence number of the event a is 6 times, the event a does not coincide. And when the time is inconsistent, broadcasting the illegal event with the front occurrence times in the corresponding time period in the area due to the fact that the broadcasting is performed. And when the reduction ratio of the broadcasted illegal events is low, but the ranking is changed, other illegal events in the area, which are relatively close to the occurrence frequency of the high-frequency type, are indicated. Because the high-frequency events are broadcasted, after the broadcasted high-frequency events are influenced, the occurrence frequency of the high-frequency events is reduced, and the ranking of other illegal events is changed without change. At this time, other illegal events are also broadcast.
The third judging module is used for judging whether the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the illegal events with the priority of the event after the second judging module judges that the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the event, marking the first illegal event as the illegal event, marking the occurrence frequency of each type of illegal events in the area in the period as the second illegal event, and identifying whether the occurrence frequency difference value between the first illegal event and the second illegal event is within the preset difference value range;
And the broadcasting strategy module is also used for adjusting according to the second adjusting strategy when the difference value of the occurrence times of the first violation event and the second violation event is within a preset difference value range, and generating a third adjusting strategy when the difference value is not within the preset difference value range, wherein the third adjusting strategy is used for reducing the broadcasting duration and the coverage of the first violation event and increasing the broadcasting duration and the coverage of the second violation event when the second violation event is broadcasted.
The first violation event is a violation event with reduced occurrence times after broadcasting, and the second violation event is a violation event for broadcasting. When the occurrence times are reduced after the first illegal event is broadcasted and the occurrence times are larger than the occurrence times of the second illegal event, the second illegal event is indicated to be frequent in the area, and the coverage influence of the second illegal event when the second illegal event is broadcasted needs to be increased.
The foregoing is merely exemplary of the present application, and specific structures and features well known in the art will not be described in detail herein, so that those skilled in the art will be aware of all the prior art to which the present application pertains, and will be able to ascertain the general knowledge of the technical field in the application or prior art, and will not be able to ascertain the general knowledge of the technical field in the prior art, without using the prior art, to practice the present application, with the aid of the present application, to ascertain the general knowledge of the same general knowledge of the technical field in general purpose. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (5)
1. Expressway service area event sensing and early warning system based on Internet of things, and is characterized in that: the system comprises a server and a client, wherein the server comprises a video acquisition module, an event identification module, an event early warning module, an early warning feedback module, an event statistics module and a broadcasting control module;
the video acquisition module is used for acquiring real-time monitoring videos of all areas uploaded by the service area;
The event recognition module is preset with a trained violation event recognition model, inputs a real-time monitoring video into the violation event recognition model and judges whether a violation event and a violation event type exist or not;
The event early warning module is used for generating an illegal event data packet and sending the data packet to the client when the illegal event exists, wherein the type and the area of the illegal event and the generation time of the illegal event;
the early warning feedback module is used for acquiring a processing result of the violation event fed back by the client;
The system also comprises an event broadcasting board;
The event statistics module is used for analyzing the high-incidence time period and the high-incidence type of the illegal event in each area according to the illegal event data packet;
The broadcasting control module is used for controlling the display content of the event broadcasting boards in each area so that the event broadcasting boards in each area display high-incidence type illegal events in the current period;
The server also comprises an event recording module and an event inquiring module;
the event recording module is used for storing the illegal event data packet;
the event inquiry module is used for acquiring an inquiry request which is sent by the client and contains search conditions, and calling a corresponding stored violation event data packet to send to the client according to the search conditions, wherein the search conditions comprise event types, areas and generation time;
The server also comprises a region identification module;
the area identification module is used for identifying the occurrence times of different types of violation events in each area according to the stored violation event data packet, and setting the priority of the violation event in each area according to the occurrence times of the different types of violation events, wherein the higher the occurrence times are, the higher the priority of the violation event is;
The event identification module is also used for identifying the type of the illegal event according to the priority of the illegal event according to the area generated by the real-time monitoring video when the type of the illegal event is identified;
the server also comprises a broadcasting statistical module and a broadcasting strategy module;
The event statistics module is also used for respectively counting the occurrence times of various types of illegal events in each area in the period according to the illegal event data packet generated in the period;
The broadcasting statistics module is used for respectively counting broadcasting duration and coverage area of each regional event broadcasting board in a period to each type of illegal event according to the broadcasting condition of the event broadcasting board;
and the broadcasting strategy module is used for judging whether the broadcasting strategy is effective according to the occurrence times of all types of illegal events in all areas in the period, the priority of the illegal events in the areas, the broadcasting duration and the coverage area of all the illegal events, adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is ineffective, and not adjusting the broadcasting strategy of broadcasting the illegal events when the broadcasting strategy is effective.
2. The system for sensing and early warning events in a highway service area based on the internet of things according to claim 1, wherein the system is characterized in that: the broadcasting strategy module comprises a first judging module and a strategy adjusting module;
The first judging module is used for identifying the occurrence frequency of each illegal event which is broadcasted in the period and the change proportion of the number of the illegal events which is not broadcasted, and judging that the broadcasting strategy is invalid when the change proportion is lower than a preset change threshold value;
And the strategy adjustment module is used for generating a first adjustment strategy when the change proportion is lower than a preset change threshold value, wherein the first adjustment strategy is used for increasing the broadcasting duration and coverage area of the illegal event with the change proportion lower than the change threshold value.
3. The system for sensing and early warning events in a highway service area based on the internet of things according to claim 2, wherein the system is characterized in that: the broadcast strategy module further comprises a second judging module,
The second judging module is used for judging whether the occurrence frequency sequence of various types of illegal events in the area in the period accords with the priority of the events in the area after the first judging module judges that the occurrence frequency sequence is finished, and identifying other illegal events of which the occurrence frequency exceeds the broadcasted illegal events when the occurrence frequency sequence does not accord with the priority of the events in the area;
And the broadcasting strategy module is also used for adjusting according to the first adjustment strategy when the occurrence times of various types of illegal events in the area in the period are consistent with the priority of the events in the area, and generating a second adjustment strategy when the occurrence times of the illegal events in the period are not consistent with the priority of the events in the area, wherein the second adjustment strategy is to mark other illegal events of which the occurrence times are more than those of the illegal events for broadcasting in the period as high-incidence type for broadcasting.
4. The system for sensing and early warning events in a highway service area based on the internet of things according to claim 3, wherein the system is characterized in that: the broadcasting strategy module further comprises a third judging module;
The third judging module is used for judging whether the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the illegal events with the priority of the event after the second judging module judges that the occurrence frequency of each type of illegal events in the area in the period is lower than the occurrence frequency of the event, marking the first illegal event as the illegal event, marking the occurrence frequency of each type of illegal events in the area in the period as the second illegal event, and identifying whether the occurrence frequency difference value between the first illegal event and the second illegal event is within the preset difference value range;
And the broadcasting strategy module is also used for adjusting according to the second adjusting strategy when the difference value of the occurrence times of the first violation event and the second violation event is within a preset difference value range, and generating a third adjusting strategy when the difference value is not within the preset difference value range, wherein the third adjusting strategy is used for reducing the broadcasting duration and the coverage of the first violation event and increasing the broadcasting duration and the coverage of the second violation event when the second violation event is broadcasted.
5. The system for sensing and early warning events in a highway service area based on the internet of things according to claim 1, wherein the system is characterized in that: the server also comprises a statistics module, wherein the statistics module is used for carrying out event statistics according to the real-time monitoring video and comprises a people flow module, a vehicle queuing length module and a people queuing length module;
the people flow rate module is used for counting the people flow rate in each area;
the traffic flow module is used for counting traffic flow in each area;
the vehicle queuing length module is used for counting the length of vehicle queuing in each area;
And the personnel queuing length module is used for counting the queuing length of the personnel in each area.
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| CN115294492A (en) * | 2022-07-14 | 2022-11-04 | 天翼云科技有限公司 | Image processing method, device, equipment and medium |
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| US20180338120A1 (en) * | 2017-05-22 | 2018-11-22 | Amazon Technologies, Inc. | Intelligent event summary, notifications, and video presentation for audio/video recording and communication devices |
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