Monitoring device and monitoring system for smart city traffic safety

Abstract

The invention relates to the technical field of traffic management, in particular to a monitoring device and a monitoring system for smart city traffic safety, and the monitoring device comprises a camera, a deceleration strip, a traffic signal control lamp, an edge processing module and a central processing module. The deceleration strip comprises a shell, the center of the shell is fixedly connected with a weight sensor used for measuring pressure data when a vehicle applies pressure to the deceleration strip, and the two sides of the shell are provided with a temperature sensor used for measuring road ground real-time temperature data and a humidity sensor used for measuring road ground real-time humidity data respectively. The edge processing module is used for calculating the traffic flow corresponding to the condition that the pressure data in the current time period is greater than the set starting value, comparing the traffic flow with a set warning value, and reminding the central processing module; according to the invention, the traffic parameters of the key road are acquired in real time through the auxiliary camera, the processing efficiency of the traffic system on the traffic parameters is improved, and the traffic safety of the urban road is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of traffic management technology, specifically to a monitoring device and system for traffic safety in smart cities. Background Technology

[0002] With the increasing popularity of electric vehicles and the continuous growth of private motor vehicle ownership, urban transportation systems are facing increasingly severe management challenges. Existing monitoring systems mainly rely on multiple types of perception layers, such as high-definition cameras, radar, and infrared sensors, to detect and track vehicles. Then, through the Internet of Things, big data, and artificial intelligence as the core of the processing layer, traffic parameters such as traffic flow, speed, and density are analyzed in real time to ensure traffic safety.

[0003] However, in practical applications, the real-time uploading and processing of massive traffic data places extremely high demands on the system's computing power. Especially during peak hours, the data deluge can easily lead to processing delays, affecting the timeliness of decision-making. Furthermore, urban roads exhibit spatiotemporal heterogeneity. For example, localized congestion frequently occurs around schools during school hours and on central urban hubs during peak commuting hours, which not only reduces traffic efficiency but also increases the risk of traffic accidents.

[0004] Therefore, the present invention provides a monitoring device and system for traffic safety in smart cities, which uses auxiliary cameras to acquire traffic parameters of key roads in real time, thereby improving the efficiency of the traffic system in processing traffic parameters and reducing the risk of traffic accidents. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a monitoring device and system for smart city traffic safety, which uses auxiliary cameras to acquire traffic parameters of key roads in real time, thereby improving the efficiency of the traffic system in processing traffic parameters and ensuring urban road traffic safety.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: A monitoring device for traffic safety in smart cities includes a camera, a speed bump, a traffic signal control light, an edge processing module, and a central processing module. The edge processing module, traffic signal control light, camera, and speed bump are used to establish a traffic parameter set of vehicle information on key roads, and the edge processing module is used to upload the traffic parameter set to the central processing module. The speed bump includes a housing, and a weight sensor is fixedly connected to the center of the housing. The weight sensor is used to measure the pressure data when vehicles on the speed bump apply pressure to the current key road, and send the pressure data to the edge processing module.

[0007] Temperature and humidity sensors are respectively installed on both sides of the housing, located on either side of the weight sensor; the temperature sensor is used to measure the real-time temperature data of the road surface, and the humidity sensor is used to measure the real-time humidity data of the road surface.

[0008] The edge processing module is used to calculate the traffic flow corresponding to the pressure data exceeding the set start value in the current time period. It obtains road environment data based on real-time temperature and humidity data, and then compares the traffic flow with the set warning value. If the traffic flow is greater than the warning value, the road environment data is added to the traffic parameter set and the traffic parameter set is sent to the central processing module; if the traffic flow is less than the warning value, a default command is sent to the traffic signal control light.

[0009] Furthermore, a rubber layer is fixedly connected between the shell and the road surface.

[0010] Furthermore, display panels for playing reminder information are installed on both sides of the road. The display panels are located on one side of the speed bump and are electrically connected to the edge processing module.

[0011] Furthermore, several buffer cavities are formed inside the rubber layer. The humidity sensor is located inside the buffer cavity, and the temperature sensor is located below the buffer cavity. The buffer cavities are arranged symmetrically around the center line of the rubber layer. A sleeve and a piston are provided inside the buffer cavity. The sleeve is fixedly connected to the rubber layer, and the piston is located inside the sleeve. The sleeve and the piston are in sliding fit.

[0012] A connecting pipe is connected inside the rubber layer. One end of the connecting pipe is connected to the buffer cavity, and the other end of the connecting pipe is connected to the outside.

[0013] The sleeve is fitted with a spring. One end of the spring is fixedly connected to the rubber layer, and the other end of the spring is fixedly connected to the housing. A solenoid valve is connected to the sleeve, and the inside of the sleeve is connected to the buffer chamber through the solenoid valve. The solenoid valve is electrically connected to the edge processing module.

[0014] Furthermore, a monitoring system for traffic safety in smart cities applies the central processing module of the aforementioned monitoring device. The central processing module is used to input and create road maps, then mark key roads and normal roads based on the road maps, and add slope and orientation to the road maps according to the terrain height difference.

[0015] The edge processing module is also used to acquire image data based on the camera, acquire the roadway based on the image data, mark the pressure data according to the roadway, compare the pressure data with the set start value, if the pressure data is greater than the start value, record one vehicle driving data; if the pressure data is less than the start value, record the blank time and send a standby command to the camera.

[0016] Within the current time interval, the edge processing module acquires traffic flow based on vehicle driving data, then compares the traffic flow with a set warning value. If the traffic flow is greater than the warning value, it sends a capture command to the camera and a start command to the display panel. It then adds road environment data to the traffic parameter set and sends the traffic parameter set to the central processing module. If the traffic flow is less than the warning value, it sends a default command to the traffic signal control lights.

[0017] Furthermore, the roadway includes regular lanes and bus lanes;

[0018] The edge processing module is also used to compare the pressure data based on the bus lane with the bus comparison value. If the pressure data is greater than or equal to the bus comparison value, a normal value is recorded; if the pressure data is less than the bus comparison value, an abnormal value is recorded.

[0019] Within the current time interval, bus driving data is calculated based on normal and outlier values. The bus driving data is then compared with a set bus threshold. If the bus driving data is greater than the bus threshold, a bus lane violation capture command is sent to the camera; if the bus driving data is less than the bus threshold, a normal command is sent to the camera.

[0020] Furthermore, the edge processing module is also used to acquire pressure data of adjacent carriageways, calculate the difference value of the pressure data, and compare the difference value with a set error value. If the difference value is greater than the error value, a fixed-point capture command is sent to the camera; if the difference value is less than the error value, a standby command is sent to the camera.

[0021] Furthermore, the edge processing module is also used to obtain the license plates of different vehicles at the traffic signal control light based on the camera when the traffic flow exceeds the warning value, and to obtain the corresponding average vehicle speed according to the traffic flow in the current time interval.

[0022] Then, based on the average vehicle speed and the current road length, the corresponding travel time is obtained. If the bus travel data is greater than the bus threshold, a verification command is sent to the continuous traffic signal control lights based on the travel time.

[0023] Furthermore, the edge processing module is also used to acquire the current weather data, which is divided into three categories: sunny, rainy, and snowy.

[0024] In rainy weather, the real-time humidity data is compared with the set surface runoff meter to obtain the surface runoff at the current time. Based on the surface runoff, the corresponding vehicle speed reminder is sent to the display panel. The edge processing module then obtains the location of the camera in the valley based on the slope and direction, and sends a water flow sampling command based on the camera location.

[0025] The edge processing module is also used to compare the real-time humidity data with the set maximum value. If the real-time humidity data is greater than or equal to the maximum value, a shutdown command is sent to the solenoid valve when the real-time pressure data is greater than the start value; if the real-time humidity data is less than the maximum value, a standby command is sent to the solenoid valve.

[0026] Furthermore, the edge processing module is also used to compare real-time temperature data with a set threshold value in snowy weather. If the real-time temperature data is greater than the threshold value, a reminder command is sent to the display panel. If the real-time temperature data is less than or equal to the threshold value, a warning command is sent to the display panel, and a snow melting command is sent to the central processing module. The module also compares the real-time humidity data with the real-time humidity data before the current time. If the real-time humidity data is greater than the real-time humidity data before the current time, a snow melting confirmation command is sent to the central processing module. If the real-time humidity data is less than the real-time humidity data before the current time, a snow melting maintenance command is sent to the central processing module.

[0027] The above approach has the following beneficial effects:

[0028] 1. This plan aims to slow down traffic flow by installing speed bumps on key roads, keeping traffic flow within a suitable range. The vibration felt when vehicles pass over speed bumps will remind drivers to slow down, thereby reducing uncontrollable situations caused by high-speed driving and ensuring traffic safety.

[0029] 2. Compared with existing technologies, this solution determines the current traffic flow by measuring the pressure exerted by vehicles on the speed bumps when they pass over them. It then records the road environment data in a timely manner to obtain information on the interference of the current road environment on vehicle movement. This allows the central processing module to promptly control traffic through traffic lights or contact traffic police to ensure traffic safety or alleviate traffic congestion.

[0030] 3. This solution acquires real-time temperature and humidity data to determine the water accumulation on roads during rainy weather, as well as the condensation conditions on roads in winter and after snow removal. This provides a basis for adjustments to the central processing module and ensures traffic safety.

[0031] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the system framework of an embodiment of the monitoring device and monitoring system for smart city traffic safety of the present invention;

[0033] Figure 2This is a schematic diagram of a speed bump in an embodiment of the monitoring device and monitoring system for smart city traffic safety of the present invention;

[0034] Figure 3 for Figure 2 A cross-sectional view of a speed bump;

[0035] Figure 4 for Figure 3 A magnified schematic diagram of part A in the middle.

[0036] The reference numerals in the accompanying drawings of the instruction manual include: 1, speed bump; 2, weight sensor; 3, rubber layer; 31, buffer chamber; 32, connecting pipe; 4, temperature sensor; 5, piston; 51, spring; 52, solenoid valve. Detailed Implementation

[0037] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0039] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0040] The following detailed description illustrates the specific implementation method:

[0041] Example 1:

[0042] As attached Figures 1 to 4As shown: A monitoring device for traffic safety in smart cities includes a camera, a speed bump 1, a traffic signal control light, an edge processing module, and a central processing module. In this embodiment, the speed bump 1 is a cast steel speed bump 1. The edge processing module, traffic signal control light, camera, and speed bump 1 are used to establish a traffic parameter set of vehicle information on key roads, and the edge processing module is used to upload the traffic parameter set to the central processing module.

[0043] The speed bump 1 includes a housing, with a weight sensor 2 bonded to the center of the housing. The weight sensor 2 is used to measure the pressure data when vehicles on the speed bump 1 apply pressure to the current key road, and sends the pressure data to the edge processing module. Temperature sensor 4 and humidity sensor are respectively provided on both sides of the housing, located on both sides of the weight sensor 2. Temperature sensor 4 is used to measure the real-time temperature data of the road surface, and humidity sensor is used to measure the real-time humidity data of the road surface.

[0044] A rubber layer 3 is bonded between the housing and the road surface. Display panels for playing reminder information are provided on both sides of the road. The display panels are located on one side of the speed bump 1 and are electrically connected to the edge processing module.

[0045] Several buffer chambers 31 are formed inside the rubber layer 3. A humidity sensor is located inside the buffer chamber 31, and a temperature sensor 4 is located below the buffer chamber 31. The buffer chambers 31 are symmetrically arranged around the center line of the rubber layer 3. A sleeve and a piston 5 are provided inside the buffer chamber 31. The sleeve is fixedly connected to the rubber layer 3, and the piston 5 is located inside the sleeve, with the sleeve and piston 5 in sliding fit. A connecting pipe 32 is connected inside the rubber layer 3. One end of the connecting pipe 32 is connected to the buffer chamber 31, and the other end of the connecting pipe 32 is connected to the outside. A spring 51 is provided outside the sleeve. One end of the spring 51 is fixedly connected to the rubber layer 3, and the other end of the spring 51 is fixedly connected to the housing. A solenoid valve 52 is connected to the sleeve. The solenoid valve 52 is normally open. The sleeve is connected to the buffer chamber 31 through the solenoid valve 52, and the solenoid valve 52 is electrically connected to the edge processing module.

[0046] The edge processing module is used to calculate the traffic flow corresponding to the pressure data exceeding the set start value in the current time period. It obtains road environment data based on real-time temperature and humidity data, and then compares the traffic flow with the set warning value. If the traffic flow is greater than the warning value, the road environment data is added to the traffic parameter set and the traffic parameter set is sent to the central processing module; if the traffic flow is less than the warning value, a default command is sent to the traffic signal control light.

[0047] The specific implementation process is as follows:

[0048] During operation, speed bumps 1 are installed on key roads to slow down traffic flow, ensuring that traffic speeds remain within a suitable range. The vibration felt when vehicles pass over speed bumps 1 serves as a reminder to drivers to slow down, thereby reducing uncontrollable situations caused by high-speed driving and ensuring traffic safety. Simultaneously, a rubber layer 3 forms a deformable support layer between the casing and the road surface, reducing direct impact between the casing and the road surface, extending the lifespan of speed bumps 1, and protecting the weight sensor 2 by cushioning impact. Furthermore, warning messages are displayed on both sides of the road via a display panel, allowing drivers to adjust their driving based on the warnings while slowing down over speed bumps 1, ensuring the execution of traffic control instructions and contributing to traffic safety.

[0049] During the support of the speed bump 1, the buffer chamber 31 provides installation space for the humidity sensor, reducing the continuous contact between the humidity sensor and sewage or other impurities on the road surface. When the vehicle applies pressure to the speed bump 1, the speed bump 1 applies pressure to the piston 5 and the rubber layer 3. When the piston 5 is squeezed downward by the housing, in addition to the housing squeezing the spring 51, the rubber layer 3 is pushed by the housing to squeeze and seal the connecting pipe 32. At this time, the buffer chamber 31 is in a relatively closed environment. The buffer chamber 31 is connected to the inside of the sleeve through the solenoid valve 52. The piston 5 squeezes the air in the sleeve, causing the air in the sleeve to be discharged into the buffer chamber 31. As the piston 5 continues to press down, the pressure in the buffer chamber 31 gradually increases, thereby strengthening the support of the speed bump 1.

[0050] When the speed bump 1 is no longer under vehicle pressure, the connecting pipe 32 inside the rubber layer 3 resumes its connection with the outside. The buffer chamber 31 is under high pressure, and part of the compressed gas in the buffer chamber 31 flows back into the sleeve, allowing part of the compressed gas in the buffer chamber 31 to be discharged from the connecting pipe 32. This reduces the contact and blockage between the connecting pipe 32 and external mud and sand, facilitating the entry of external water or water vapor into the buffer chamber 31 along the connecting pipe 32. This allows the humidity sensor inside the buffer chamber 31 to measure real-time humidity data, providing a basis for adjustments to the central processing module and ensuring traffic safety. By closing the solenoid valve 52, the tension relationship between the piston 5 and the housing and the rubber layer 3 is maintained, thereby keeping the shortened distance between the rubber layer 3 and the connecting pipe 32 constant. This maintains or reduces the diameter of the connecting pipe 32, reducing the amount of external water entering the buffer chamber 31.

[0051] A monitoring system for traffic safety in smart cities applies the central processing module of the aforementioned monitoring device. The central processing module is used to input and create road maps, mark key roads and normal roads based on the road maps, and add slope and orientation to the road maps according to the terrain height difference.

[0052] The edge processing module is also used to acquire image data based on the camera, acquire the roadway based on the image data, mark the pressure data according to the roadway, compare the pressure data with the set start value, if the pressure data is greater than the start value, record one vehicle driving data; if the pressure data is less than the start value, record the blank time and send a standby command to the camera.

[0053] Within the current time interval, the edge processing module acquires traffic flow based on vehicle driving data, then compares the traffic flow with a set warning value. If the traffic flow is greater than the warning value, it sends a capture command to the camera and a start command to the display panel. It then adds road environment data to the traffic parameter set and sends the traffic parameter set to the central processing module. If the traffic flow is less than the warning value, it sends a default command to the traffic signal control lights.

[0054] For example, lanes can be divided to allow for focused monitoring of these lanes (such as bus lanes) during real-time data collection by cameras. This can help detect instances of vehicles illegally occupying bus lanes or changing lanes without authorization, thereby reducing congestion or traffic accidents caused by lane changes.

[0055] Meanwhile, by comparing the pressure data with the activation value, the traffic flow for the current time period can be obtained. By comparing the traffic flow with the warning value, the camera can be activated to capture lane-changing behavior in congested situations. The display panel will remind drivers to regulate traffic and ensure traffic safety. Road environment data will also be collected and recorded for the central processing module to make adjustments.

[0056] Example 2:

[0057] The difference from Embodiment 1 is that the carriageway includes ordinary lanes and bus lanes; the edge processing module is also used to compare the pressure data based on the bus lane with the bus comparison value. If the pressure data is greater than or equal to the bus comparison value, a normal value is recorded; if the pressure data is less than the bus comparison value, an abnormal value is recorded.

[0058] Within the current time interval, bus driving data is calculated based on normal and outlier values. The bus driving data is then compared with a set bus threshold. If the bus driving data is greater than the bus threshold, a bus lane violation capture command is sent to the camera; if the bus driving data is less than the bus threshold, a normal command is sent to the camera.

[0059] For example, by comparing the pressure data corresponding to the bus lane with the bus comparison value, it can be determined whether the vehicle currently passing through speed bump 1 is a bus or other vehicle. Normal and abnormal values ​​are recorded so that when the traffic volume in the bus lane is high, the camera can be activated to collect images specifically to capture and process the bus lane occupation.

[0060] Example 3:

[0061] The difference from Embodiment 2 is that the edge processing module is also used to acquire pressure data of adjacent carriageways, calculate the difference value of the pressure data, and compare the difference value with a set error value. If the difference value is greater than the error value, a fixed-point capture command is sent to the camera; if the difference value is less than the error value, a standby command is sent to the camera.

[0062] For example, the difference value is obtained based on the division of the driving lanes to obtain the consistency of the pressure applied by vehicles in different driving lanes. By comparing the difference value and the error value, the lane-changing behavior of vehicles can be captured, so as to remind the camera to capture images and ensure the accurate acquisition of the lane-changing behavior of vehicles.

[0063] Example 4:

[0064] The difference from Embodiment 3 is that the edge processing module is also used to obtain the license plates of different vehicles at the traffic signal control lights based on the camera when the traffic flow is greater than the warning value, obtain the corresponding average vehicle speed according to the traffic flow in the current time interval, and then obtain the corresponding travel time based on the average vehicle speed and the current road length. When the bus travel data is greater than the bus threshold, a verification command is sent to the continuous traffic signal control lights based on the travel time.

[0065] For example, when traffic is congested, prolonged or illegal parking can easily cause blockages on nearby roads. By capturing images from cameras at continuous intersections, it is possible to determine the lane occupancy status of buses when they are blocking the road, ensuring that the situation of buses occupying the lane is known and reducing illegal parking during congested periods.

[0066] Example 5:

[0067] The difference from Example 4 is that the edge processing module is also used to obtain the weather data at the current time, which is divided into three categories: sunny, rainy and snowy.

[0068] In rainy weather, the real-time humidity data is compared with the set surface runoff meter to obtain the surface runoff at the current time. Based on the surface runoff, a corresponding vehicle speed reminder is sent to the display panel. The edge processing module then obtains the location of the camera in the valley based on the slope and direction, and sends a water flow sampling command based on the camera location. The edge processing module is also used to compare the real-time humidity data with the set maximum value. If the real-time humidity data is greater than or equal to the maximum value, a closing command is sent to the solenoid valve 52 when the real-time pressure data is greater than the start value. If the real-time humidity data is less than the maximum value, a standby command is sent to the solenoid valve 52.

[0069] For example, in rainy weather, real-time humidity data is used to obtain the current surface runoff, which is then displayed on the panel to remind drivers of their speed, reducing the impact of slippery roads on vehicle braking and ensuring traffic safety. Furthermore, by obtaining the slope data, the convergence of water flow in low-lying areas can be confirmed, and images are captured by cameras to facilitate timely guidance of traffic lights by the central processing module.

[0070] At the same time, by closing the solenoid valve 52, the inside of the sealed sleeve is reduced when the surface runoff is large, and the water flow into the inside of the sleeve is reduced. Meanwhile, the support and fixation of the shell and the bottom of the rubber layer 3 of the sleeve maintain the sealing effect on the connecting pipe 32, thereby reducing the flow of external water into the buffer chamber 31.

[0071] The edge processing module is also used to compare real-time temperature data with a set threshold value in snowy weather. If the real-time temperature data is greater than the threshold value, an alert command is sent to the display panel. If the real-time temperature data is less than or equal to the threshold value, an alarm command is sent to the display panel, and a snow melting command is sent to the central processing module. The module then compares the real-time humidity data with the real-time humidity data before the current time. If the real-time humidity data is greater than the real-time humidity data before the current time, a snow melting confirmation command is sent to the central processing module. If the real-time humidity data is less than the real-time humidity data before the current time, a snow melting maintenance command is sent to the central processing module.

[0072] For example, in snowy weather, the system compares real-time ground temperature data with critical values ​​to determine the degree of road condensation and provides corresponding prompts through the display panel to ensure vehicle safety. Furthermore, it compares the water flow generated after snow melting with real-time humidity data to determine the extent of snow melting.

[0073] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A monitoring device for traffic safety in smart cities, comprising a camera, a speed bump (1), a traffic signal control light, an edge processing module, and a central processing module, wherein the edge processing module, the traffic signal control light, the camera, and the speed bump (1) are used to establish a traffic parameter set of vehicle information on key roads, and the edge processing module is used to upload the traffic parameter set to the central processing module; characterized in that, The speed bump (1) includes a housing, and a weight sensor (2) is fixedly connected to the center of the housing. The weight sensor (2) is used to measure the pressure data of vehicles on the speed bump (1) on the current key road and send the pressure data to the edge processing module. Temperature sensor (4) and humidity sensor are respectively provided on both sides of the housing. Temperature sensor (4) and humidity sensor are located on both sides of weight sensor (2). Temperature sensor (4) is used to measure real-time temperature data of road surface, and humidity sensor is used to measure real-time humidity data of road surface. The edge processing module is used to calculate the traffic flow corresponding to the pressure data being greater than the set start value in the current time period. It obtains road environment data based on real-time temperature data and real-time humidity data, and then compares the traffic flow with the set warning value. If the traffic flow is greater than the warning value, the road environment data is added to the traffic parameter set, and the traffic parameter set is sent to the central processing module. If the traffic flow is less than the warning value, a default command is sent to the traffic signal control lights.

2. The monitoring device for smart city traffic safety according to claim 1, characterized in that, A rubber layer (3) is fixedly connected between the shell and the road surface.

3. The monitoring device for smart city traffic safety according to claim 2, characterized in that, Display panels for playing reminder information are provided on both sides of the road. The display panels are located on one side of the speed bump (1) and are electrically connected to the edge processing module.

4. The monitoring device for smart city traffic safety according to claim 3, characterized in that, Several buffer cavities (31) are opened in the rubber layer (3). The humidity sensor is located in the buffer cavity (31), and the temperature sensor (4) is located below the buffer cavity (31). The buffer cavities (31) are arranged symmetrically with respect to the center line of the rubber layer (3). A sleeve and a piston (5) are provided in the buffer cavity (31). The sleeve is fixedly connected to the rubber layer (3), and the piston (5) is located in the sleeve. The sleeve and the piston (5) are in sliding fit. A connecting pipe (32) is connected inside the rubber layer (3). One end of the connecting pipe (32) is connected to the buffer chamber (31), and the other end of the connecting pipe (32) is connected to the outside. The sleeve is fitted with a spring (51), one end of which is fixedly connected to the rubber layer (3), and the other end of which is fixedly connected to the housing. A solenoid valve (52) is connected to the sleeve, and the sleeve is connected to the buffer chamber (31) through the solenoid valve (52). The solenoid valve (52) is electrically connected to the edge processing module.

5. A monitoring system for traffic safety in smart cities, comprising a central processing module of the monitoring device according to any one of claims 1-4, characterized in that, The central processing module is used to input and create road maps, then mark key roads and normal roads based on the road maps, and add slope and orientation to the road maps according to the terrain height difference; The edge processing module is also used to acquire image data based on the camera, acquire the roadway based on the image data, mark the pressure data according to the roadway, compare the pressure data with the set start value, if the pressure data is greater than the start value, record one vehicle driving data; if the pressure data is less than the start value, record the blank time and send a standby command to the camera. Within the current time interval, the edge processing module obtains traffic flow based on vehicle driving data, compares the traffic flow with a set warning value, and if the traffic flow is greater than the warning value, it sends a capture command to the camera and a start command to the display panel; then it adds road environment data to the traffic parameter set and sends the traffic parameter set to the central processing module. If the traffic flow is less than the warning value, a default command is sent to the traffic signal control lights.

6. The monitoring system for smart city traffic safety according to claim 5, characterized in that, The roadway includes regular lanes and bus lanes; The edge processing module is also used to compare the pressure data based on the bus lane with the bus comparison value. If the pressure data is greater than or equal to the bus comparison value, a normal value is recorded; if the pressure data is less than the bus comparison value, an abnormal value is recorded. Within the current time interval, bus driving data is calculated based on normal and outlier values. The bus driving data is then compared with a set bus threshold. If the bus driving data is greater than the bus threshold, a bus lane violation capture command is sent to the camera; if the bus driving data is less than the bus threshold, a normal command is sent to the camera.

7. The monitoring system for smart city traffic safety according to claim 6, characterized in that, The edge processing module is also used to acquire pressure data of adjacent lanes, calculate the difference between the pressure data, and compare the difference with a set error value. If the difference is greater than the error value, a fixed-point capture command is sent to the camera; if the difference is less than the error value, a standby command is sent to the camera.

8. The monitoring system for smart city traffic safety according to claim 7, characterized in that, The edge processing module is also used to obtain the license plates of different vehicles at the traffic signal control light based on the camera when the traffic flow exceeds the warning value, and obtain the corresponding average vehicle speed according to the traffic flow in the current time interval. Then, based on the average vehicle speed and the current road length, the corresponding travel time is obtained. If the bus travel data is greater than the bus threshold, a verification command is sent to the continuous traffic signal control lights based on the travel time.

9. The monitoring system for smart city traffic safety according to claim 8, characterized in that, The edge processing module is also used to acquire the current weather data, which is divided into three categories: sunny, rainy, and snowy. In rainy weather, the real-time humidity data is compared with the set surface runoff meter to obtain the surface runoff at the current time, and the corresponding vehicle speed reminder is sent to the display panel based on the surface runoff. The edge processing module then obtains the location of the camera in the valley based on the slope orientation, and sends a water flow sampling command based on the camera location. The edge processing module is also used to compare the real-time humidity data with the set maximum value. If the real-time humidity data is greater than or equal to the maximum value, a closing command is sent to the solenoid valve (52) when the real-time pressure data is greater than the start value; if the real-time humidity data is less than the maximum value, a standby command is sent to the solenoid valve (52).

10. The monitoring system for smart city traffic safety according to claim 9, characterized in that, The edge processing module is also used to compare real-time temperature data with a set threshold value in snowy weather. If the real-time temperature data is greater than the threshold value, an alert command is sent to the display panel. If the real-time temperature data is less than or equal to the threshold value, an alarm command is sent to the display panel, and a snow melting command is sent to the central processing module. The module then compares the real-time humidity data with the real-time humidity data before the current time. If the real-time humidity data is greater than the real-time humidity data before the current time, a snow melting confirmation command is sent to the central processing module. If the real-time humidity data is less than the real-time humidity data before the current time, a snow melting maintenance command is sent to the central processing module.

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