CN110782676A - Intelligent detection and early warning system for road overload and overrun without stopping - Google Patents
Intelligent detection and early warning system for road overload and overrun without stopping Download PDFInfo
- Publication number
- CN110782676A CN110782676A CN201911100782.5A CN201911100782A CN110782676A CN 110782676 A CN110782676 A CN 110782676A CN 201911100782 A CN201911100782 A CN 201911100782A CN 110782676 A CN110782676 A CN 110782676A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- road
- module
- overload
- overrun
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The invention discloses an intelligent detection and early warning system for road no-parking overload overrun, which comprises a piezoelectric sensor for measuring the weight of a vehicle, a correlation type photoelectric sensor for measuring the height of the vehicle, a camera module for acquiring a vehicle image and a license plate image, an MCU control module, a display screen module, a power supply module, a communication module and a vehicle type and cargo total weight database. The intelligent detection and early warning system for the non-stop overload and overload overrun of the road can realize real-time overload and overrun detection and early warning of running vehicles, greatly improves the detection efficiency compared with the existing manual inspection mode, can timely remind the overloaded and overrun vehicles and give an alarm, can better prevent traffic accidents and better protect bridges and roads.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a system for detecting vehicle overload and overrun and early warning under the condition of no parking.
Background
The over-limit and overload of highway transportation not only affects the safety of highway bridges, but also threatens the life safety of social public, because the load of an over-limit and overload vehicle is higher than the load borne by the highway bridges specified by the state, the highway bridges are damaged, the capital consumption is caused, and traffic accidents are often caused. According to statistics, more than 80% of road traffic accidents of trucks in China are caused by overrun overload transportation until 2016. The loss caused by the overload and the overrun of the vehicles in China exceeds 300 billion yuan every year, and the service life of the highway is greatly shortened by the overload and overrun vehicles. The load of the over-limit and overloaded vehicle is far beyond the design bearing load of a road and a bridge, and the over-limit and overloaded vehicle frequently runs on the road, so that the road surface is damaged, the bridge is broken, the normal service life of the road is greatly shortened, and the major and middle repairs are carried out in advance.
At present, the main domestic method for the urban road overrun and overload condition is to paste a mark by a traffic department and arrange law enforcement personnel to patrol and check the mark on site. For vehicles that may be overrun and overloaded, law enforcement officers direct them to a detection center for actual detection. The overrun overload condition of the expressway is mainly determined whether the expressway is overloaded by parking at a high-speed toll gate and using a wagon balance, and the overrun frame is used for determining whether the expressway is overrun. The disadvantages brought by the above operation modes mainly include: (1) the uncertainty is strong, and the personnel can not work for 24 hours; (2) the subjectivity is strong, the overload is determined mainly by law enforcement personal experience, and an objective evaluation mode is lacked; (3) the efficiency is low, the time consumption of manual detection and parking detection is long, and traffic jam is easy to cause; (4) the means belongs to a post-sending mode, and the vehicle is often damaged or clamped in a height limiting frame to be known.
Therefore, how to manage and control the overload and the overrun of the vehicle by using an advanced intelligent control technology is expected by drivers, traffic departments and road management departments, and is also a problem to be researched by the technical personnel in the field.
Disclosure of Invention
In view of the above, the present invention is directed to an intelligent detecting and early warning system for road overload without stopping or exceeding the vehicle limit, which solves the defects of the existing methods of detecting vehicle overload by manual inspection, detecting vehicle overload by using a height limiting rod, and the like.
The invention discloses an intelligent detection and early warning system for road no-parking overload overrun, which comprises a piezoelectric sensor for measuring the weight of a vehicle, a correlation type photoelectric sensor for measuring the height of the vehicle, a camera module for acquiring a vehicle image and a license plate image, an MCU control module, a display screen module, a power supply module, a communication module and a vehicle type and vehicle and cargo gross weight database;
the power supply module is respectively connected with the piezoelectric sensor, the correlation type photoelectric sensor, the MCU control module, the camera module, the display screen module and the communication module;
the piezoelectric sensor is embedded on the road surface along the width direction of the road;
the correlation type photoelectric sensor is arranged on two sides of a road through an upright post, the upright post is positioned beside the piezoelectric sensor, and the height of the correlation type photoelectric sensor from the ground is equal to a road height limit value;
the camera modules are arranged above the road and at two sides of the road through supports, and the supports are positioned in front of the stand columns;
the MCU control module is internally loaded with a vehicle type recognition algorithm and is used for executing the vehicle type recognition algorithm to process the vehicle image acquired by the camera module so as to recognize the vehicle type of the vehicle in the image, and then inquiring a vehicle type and vehicle and cargo total weight database according to the recognized vehicle type to obtain the vehicle and cargo total mass of the vehicle type; then the MCU control module makes the difference between the vehicle weight measured by the piezoelectric sensor and the total mass of the vehicle and the goods of the vehicle type, and judges whether the vehicle is overloaded or not;
the MCU control module is also used for judging whether the total height of the goods of the vehicle exceeds a road height limit value according to the detection signal of the correlation type photoelectric sensor;
the display module is arranged along a road and is used for displaying license plate numbers of vehicles with overload and over-limit total vehicle and cargo height;
and the communication module is used for sending the vehicle image and the license plate number information of overload and total vehicle and cargo height overrun to a third party platform or a traffic law enforcement platform.
The invention has the beneficial effects that:
the intelligent detection and early warning system for the non-stop overload and overload overrun of the road can realize real-time overload and overrun detection and early warning of running vehicles, greatly improves the detection efficiency compared with the existing manual inspection mode, can timely remind the overloaded and overrun vehicles and give an alarm, can better prevent traffic accidents and better protect bridges and roads.
Drawings
FIG. 1 is a schematic structural diagram of a non-stop overload and overrun intelligent detection and early warning system for a road;
FIG. 2 is a block diagram of a road non-stop overload overrun intelligent detection early warning system;
FIG. 3 is a block diagram of a convolutional neural network algorithm;
fig. 4 is a flowchart of overload detection.
Detailed Description
The invention is further described below with reference to the figures and examples.
The intelligent detection and early warning system for the road overload and no-parking overload in the embodiment comprises a piezoelectric sensor 1 for measuring the weight of a vehicle, a correlation type photoelectric sensor 2 for measuring the height of the vehicle, a camera module 3 for acquiring a vehicle image and a license plate image, an MCU control module 4, a display screen module 5, a power supply module 6, a communication module 7, a vehicle type and vehicle and cargo total weight database.
The power supply module is respectively connected with the piezoelectric sensor, the correlation type photoelectric sensor, the MCU control module, the camera module, the display screen module and the communication module.
The piezoelectric sensor is buried on a road surface along the road width direction.
The correlation type photoelectric sensor is arranged on two sides of a road through a stand column 8, the stand column is located beside the piezoelectric sensor, and the height of the correlation type photoelectric sensor from the ground is equal to a road height limit value.
The camera module is arranged above the road and on two sides of the road through a support 9, the support is positioned in front of the upright post, and the front of the upright post is the front of the vehicle running.
The MCU control module is internally loaded with a vehicle type recognition algorithm and is used for executing the vehicle type recognition algorithm to process the vehicle image acquired by the camera module so as to recognize the vehicle type of the vehicle in the image, and then inquiring a vehicle type and vehicle and cargo total weight database according to the recognized vehicle type to obtain the vehicle and cargo total mass of the vehicle type; and then the MCU control module makes the difference between the vehicle weight measured by the piezoelectric sensor and the total mass of the vehicle and the goods of the vehicle type, and judges whether the vehicle is overloaded or not.
The vehicle type recognition algorithm adopts a convolutional neural network algorithm in the prior art, and the structural diagram of the convolutional neural network algorithm in the embodiment is shown in the attached figure 3 of the specification, and comprises an input layer, a convolutional layer, an activation function, a pooling layer, a full-link layer, an original output layer, a softmax layer and an output layer; more specifically, it includes 1 convolution layer of 12 × 12, 2 convolution layers of 7 × 7, 2 convolution layers of 5 × 5, 12 convolution layers of 3 × 3, 2 pooling layers, 2 full-link layers, 1 original output layer, 1 softmax layer, 1 final output layer. The convolution layer adopts larger convolution kernels 12 x 12, 7 x 7 and 5 x 5, the step length is 2, edge filling is a default mode, convolution operation is carried out on the vehicle RGB image with the initial size of 216 x 3, size and form information of the vehicle is extracted, and details of the vehicle type are obtained by adopting a smaller convolution kernel 3 x 3. The pooling layer reduces the amount of data by down-sampling the compressed image, selecting the largest pooling, with a size of 2 x 2 and a step size of 2. The full-connection layer integrates the convolution layer to obtain abstract vehicle type characteristics, and the algorithm adopts two layers of 4096 full-connection. And the original output layer outputs a multi-dimensional vector according to the result obtained by the full connection layer and the type of the vehicle, wherein the dimension is the type of the vehicle. And the softmax layer converts the result output by the original layer into probability distribution, and calculates the probability of each classification through a softmax function. And the final output layer is the specific category of the output vehicle type. The ReLu activation functions are adopted by the activation functions, and the advantages of the ReLu activation functions are that the gradient disappearance is restrained, and meanwhile, the model convergence speed is accelerated.
And the MCU control module is also used for judging whether the total height of the goods of the vehicle exceeds a road height limit value according to the detection signal of the correlation type photoelectric sensor.
The display module is arranged along a road and used for displaying license plate numbers of vehicles with overload and over-limit total vehicle and cargo height.
The communication module is used for sending the vehicle image and the license plate number information of overload and total height of the vehicle and goods exceeding the limit to a third party platform or a traffic law enforcement platform, and the communication mode can be one or more of ZigBee, LoRa, PLC, NB-IOT and 2G/3G/4G/5G.
In the intelligent detecting and warning system for detecting and warning overload without stopping the vehicle on the road, the process of the MCU control module executing the program to realize the overload detection is shown in fig. 4:
the method comprises the steps of obtaining a picture of a vehicle in road running through a camera module, identifying the obtained picture through a convolutional neural network algorithm to obtain vehicle type data, matching the vehicle type data with a standard vehicle type in a database, obtaining actual vehicle type and total weight information of vehicles and goods, comparing the actual vehicle type and the total weight information of the vehicles and goods collected by a piezoelectric sensor to determine whether the vehicle is overloaded or not, displaying the license plate information of the vehicle through a display screen module if the vehicle is overloaded, reminding a driver of unloading the vehicle in time, transmitting the overloaded information to a third party platform or a traffic law enforcement platform through a communication module, and assisting law enforcement personnel in managing overloaded traffic.
The intelligent detection and early warning system for the overload and no-parking of the road realizes all-weather dynamic detection of the overload of the running vehicles, and avoids the condition of traffic jam caused by parking inspection; meanwhile, the gap non-contact detection of vehicle overrun is realized, a height limit frame does not need to be erected, and the problem of the backward situation of a height limit detection means is solved.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (1)
1. The utility model provides a road does not stop overload transfinite intellectual detection system early warning system which characterized in that: the system comprises a piezoelectric sensor for measuring the weight of a vehicle, a correlation type photoelectric sensor for measuring the height of the vehicle, a camera module for acquiring a vehicle image and a license plate image, an MCU control module, a display screen module, a power supply module, a communication module and a vehicle type and cargo total weight database;
the power supply module is respectively connected with the piezoelectric sensor, the correlation type photoelectric sensor, the MCU control module, the camera module, the display screen module and the communication module;
the piezoelectric sensor is embedded on the road surface along the width direction of the road;
the correlation type photoelectric sensor is arranged on two sides of a road through an upright post, the upright post is positioned beside the piezoelectric sensor, and the height of the correlation type photoelectric sensor from the ground is equal to a road height limit value;
the camera module is arranged above the road and at two sides of the road through a support, and the support is positioned in front of the upright post;
the MCU control module is internally loaded with a vehicle type recognition algorithm and is used for executing the vehicle type recognition algorithm to process the vehicle image acquired by the camera module so as to recognize the vehicle type of the vehicle in the image, and then inquiring a vehicle type and vehicle and cargo total weight database according to the recognized vehicle type to obtain the vehicle and cargo total mass of the vehicle type; then the MCU control module makes the difference between the vehicle weight measured by the piezoelectric sensor and the total mass of the vehicle and the goods of the vehicle type, and judges whether the vehicle is overloaded or not;
the MCU control module is also used for judging whether the total height of the goods of the vehicle exceeds a road height limit value according to the detection signal of the correlation type photoelectric sensor;
the display module is arranged along a road and is used for displaying license plate numbers of vehicles with overload and over-limit total vehicle and cargo height;
and the communication module is used for sending the vehicle image and the license plate number information of overload and total vehicle and cargo height overrun to a third party platform or a traffic law enforcement platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911100782.5A CN110782676A (en) | 2019-11-12 | 2019-11-12 | Intelligent detection and early warning system for road overload and overrun without stopping |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911100782.5A CN110782676A (en) | 2019-11-12 | 2019-11-12 | Intelligent detection and early warning system for road overload and overrun without stopping |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110782676A true CN110782676A (en) | 2020-02-11 |
Family
ID=69390545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911100782.5A Pending CN110782676A (en) | 2019-11-12 | 2019-11-12 | Intelligent detection and early warning system for road overload and overrun without stopping |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110782676A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111477014A (en) * | 2020-04-09 | 2020-07-31 | 安徽皖通科技股份有限公司 | Lane monitoring operation method for expressway |
| CN113053101A (en) * | 2020-11-15 | 2021-06-29 | 泰州锐比特智能科技有限公司 | Overweight refined monitoring system and method based on wireless communication |
| CN113689732A (en) * | 2021-08-27 | 2021-11-23 | 深圳供电局有限公司 | Vehicle parking management method and system based on big data |
| CN115641555A (en) * | 2022-09-07 | 2023-01-24 | 湘潭大学 | Truck overload and overrun early warning method and system based on AI vision |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11312293A (en) * | 1998-04-28 | 1999-11-09 | Matsushita Electric Ind Co Ltd | Automatic measurement system for special vehicles |
| JP2002183882A (en) * | 2000-12-12 | 2002-06-28 | Mitsubishi Heavy Ind Ltd | Overloaded vehicle detecting system |
| CN102044150A (en) * | 2009-10-20 | 2011-05-04 | 孟宪玲 | System for monitoring motor vehicle overloading |
| KR101256506B1 (en) * | 2012-11-09 | 2013-05-02 | 뉴 플러스 정보통신(주) | Overloaded vehicle controlling system and method |
| CN104463241A (en) * | 2014-10-31 | 2015-03-25 | 北京理工大学 | Vehicle type recognition method in intelligent transportation monitoring system |
| CN106446834A (en) * | 2016-09-27 | 2017-02-22 | 东软集团股份有限公司 | Vehicle type identification method and vehicle type identification device based on images |
| CN106710231A (en) * | 2017-01-23 | 2017-05-24 | 上海良相智能化工程有限公司 | Oversize and overload nonlocal law enforcement system |
| KR20170107219A (en) * | 2016-03-15 | 2017-09-25 | 주식회사에스에이티 | Unmanned system for controlling overloaded vehicle using measuring weight sensor |
| CN107633683A (en) * | 2017-09-29 | 2018-01-26 | 深圳市富源信息技术有限公司 | Non-at-scene supervision of law enforcement system for overload of vehicle |
| CN108061595A (en) * | 2017-12-14 | 2018-05-22 | 四川奇石缘科技股份有限公司 | A kind of traffic police administers the non-at-scene law enforcement detecting system of outline measuring overload and method |
| CN109830103A (en) * | 2019-03-06 | 2019-05-31 | 河南省特利衡器有限公司 | A kind of overload of vehicle transfinites non-at-scene law enforcement detection system |
-
2019
- 2019-11-12 CN CN201911100782.5A patent/CN110782676A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11312293A (en) * | 1998-04-28 | 1999-11-09 | Matsushita Electric Ind Co Ltd | Automatic measurement system for special vehicles |
| JP2002183882A (en) * | 2000-12-12 | 2002-06-28 | Mitsubishi Heavy Ind Ltd | Overloaded vehicle detecting system |
| CN102044150A (en) * | 2009-10-20 | 2011-05-04 | 孟宪玲 | System for monitoring motor vehicle overloading |
| KR101256506B1 (en) * | 2012-11-09 | 2013-05-02 | 뉴 플러스 정보통신(주) | Overloaded vehicle controlling system and method |
| CN104463241A (en) * | 2014-10-31 | 2015-03-25 | 北京理工大学 | Vehicle type recognition method in intelligent transportation monitoring system |
| KR20170107219A (en) * | 2016-03-15 | 2017-09-25 | 주식회사에스에이티 | Unmanned system for controlling overloaded vehicle using measuring weight sensor |
| CN106446834A (en) * | 2016-09-27 | 2017-02-22 | 东软集团股份有限公司 | Vehicle type identification method and vehicle type identification device based on images |
| CN106710231A (en) * | 2017-01-23 | 2017-05-24 | 上海良相智能化工程有限公司 | Oversize and overload nonlocal law enforcement system |
| CN107633683A (en) * | 2017-09-29 | 2018-01-26 | 深圳市富源信息技术有限公司 | Non-at-scene supervision of law enforcement system for overload of vehicle |
| CN108061595A (en) * | 2017-12-14 | 2018-05-22 | 四川奇石缘科技股份有限公司 | A kind of traffic police administers the non-at-scene law enforcement detecting system of outline measuring overload and method |
| CN109830103A (en) * | 2019-03-06 | 2019-05-31 | 河南省特利衡器有限公司 | A kind of overload of vehicle transfinites non-at-scene law enforcement detection system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111477014A (en) * | 2020-04-09 | 2020-07-31 | 安徽皖通科技股份有限公司 | Lane monitoring operation method for expressway |
| CN113053101A (en) * | 2020-11-15 | 2021-06-29 | 泰州锐比特智能科技有限公司 | Overweight refined monitoring system and method based on wireless communication |
| CN113689732A (en) * | 2021-08-27 | 2021-11-23 | 深圳供电局有限公司 | Vehicle parking management method and system based on big data |
| CN115641555A (en) * | 2022-09-07 | 2023-01-24 | 湘潭大学 | Truck overload and overrun early warning method and system based on AI vision |
| CN115641555B (en) * | 2022-09-07 | 2024-04-12 | 湘潭大学 | Truck overload overrun early warning method based on AI vision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110782676A (en) | Intelligent detection and early warning system for road overload and overrun without stopping | |
| CN202331796U (en) | Vehicle overload monitoring system | |
| CN206282430U (en) | A kind of road administration traffic police overrun and overload combines non-at-scene enforcement system | |
| CN101887639A (en) | Vehicle overload detecting system and method based on CAN (Controller Area Network) bus | |
| CN105825692B (en) | Speed Limitation on Freeway information acquisition method and system based on road domain weather station | |
| CN107957259B (en) | Wheelmark cross direction profiles measuring system and measurement method | |
| CN112528208B (en) | Weighing-free AI intelligent recognition truck overload estimation method, device and system | |
| CN111348048B (en) | Truck overload alarm method, device, equipment and storage medium | |
| CN104867195B (en) | Lorry ETC dynamic weighings aggregation of data prejudges system | |
| CN105788251A (en) | Truck overload real-time monitoring system based on Beidou Internet-of-vehicles and truck overload real-time monitoring method thereof | |
| CN105957374B (en) | One kind being based on udometric Forewarning System of Freeway | |
| CN108881837B (en) | Intelligent traffic control method and system based on vehicle-bridge interconnection cooperation | |
| CN106548628A (en) | The road condition analyzing method that a kind of view-based access control model space transition net is formatted | |
| CN116029555A (en) | Bridge risk identification early warning system based on lightweight neural network and application method | |
| CN104916139A (en) | Overload control management system and method | |
| CN205899803U (en) | A on -vehicle system of unmanned aerial vehicle for administer overload transfinites | |
| CN105261216A (en) | Cloud computation based road load intelligent supervision device | |
| CN115641555B (en) | Truck overload overrun early warning method based on AI vision | |
| CN204854924U (en) | Volume of showing vehicle load and overload automatic alarm's device in real time | |
| CN115273474B (en) | RPA patrols and examines robot and patrols and examines management system based on artificial intelligence | |
| CN109686107A (en) | A kind of intelligent transport vehicle vehicle bottom identifying system | |
| CN212779526U (en) | Road surface passing vehicle height limit and weight limit monitoring system | |
| CN210377841U (en) | Highway transfinites overload detection device | |
| CN201498103U (en) | Automatic vehicle overloading detection system | |
| CN201780152U (en) | Vehicle overload detection system based on controller area network (CAN) bus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200211 |