CN204650755U - A kind of material flow tracking supervisory system based on cloud computing - Google Patents

Abstract

The utility model discloses a logistics tracking and monitoring system based on cloud computing, which belongs to a monitoring system. The utility model aims to solve the problem of how to better track and monitor logistics vehicles. The technical solution is: its structure includes main control chip, LTE module, BDS module, vehicle state detection module, video monitoring device, background cloud computing server, client; BDS module, vehicle state detection module and video monitoring device are all integrated with the main control chip Connection, the main control chip is connected to the LTE module, and the LTE module communicates with the background cloud computing server through the network; the client communicates with the LTE module and the background cloud computing server through the network.

Description

A logistics tracking and monitoring system based on cloud computing

technical field

The utility model relates to a monitoring system, in particular to a logistics tracking monitoring system based on cloud computing.

Background technique

In the logistics and transportation industry, real-time tracking and monitoring of logistics vehicles is essential. In addition to tracking the location of logistics vehicles, it is also necessary to monitor the operating conditions of the vehicles and the goods being transported.

With the wide application of LTE (English full name Long Term Evolution, translated as long-term evolution technology) module and BDS (English full name BeiDou Navigation Satellite System, translated as Beidou Satellite Navigation System) positioning system is becoming more and more mature, LTE module and BDS module It can realize base station positioning + BDS positioning, and the LTE module can realize information interaction with the background cloud computing server and mobile phone. Cloud computing is an Internet-based computing method in which shared hardware and software resources and information are provided to computers and other devices on demand. "Big data" is a collection of data composed of huge quantities, complex structures, and many types of data. It is a data processing and application model based on cloud computing. Through data integration, sharing, and cross-reuse, intellectual resources and knowledge service capabilities are formed.

How to make it possible to track and monitor logistics vehicles, and how to track and monitor logistics vehicles by combining LTE modules, BDS modules and big data technology, are currently urgent problems for those skilled in the art to solve.

Contents of the invention

The technical task of the utility model is to provide a logistics tracking and monitoring system based on cloud computing to solve the problem of how to better track and monitor logistics vehicles.

The technical scheme that the utility model solves its technical problem adopts is:

A logistics tracking and monitoring system based on cloud computing, including a main control chip, an LTE module, a BDS module, a vehicle status detection module, a video monitoring device, a background cloud computing server, a client; BDS module, a vehicle status detection module and a video monitoring device Both are connected to the main control chip, the main control chip is connected to the LTE module, and the LTE module communicates with the background cloud computing server through the network; the client communicates with the LTE module and the background cloud computing server through the network.

The main control chip, LTE module, BDS module, vehicle status detection module, and video monitoring device are arranged on the logistics transportation vehicle.

The vehicle state detection module includes a vehicle fuel quantity state detection module, a vehicle load state detection module, and a vehicle speed state detection module.

The client is a computer or smart phone with a SIM card or a smart tablet with a SIM card.

Compared with the prior art, a cloud computing-based logistics tracking and monitoring system of the present utility model has the following beneficial effects:

1. The main control chip controls the LTE module and the BDS module to realize the base station positioning + BDS positioning to obtain the location coordinates of the logistics transportation vehicle. The obtained location coordinates are sent to the background cloud computing server in real time through the LTE module network, and through the electronic map of the background cloud computing server The platform is used to obtain the location information of logistics transportation vehicles, so as to monitor the form route of logistics transportation vehicles;

2. When the user needs to know the logistics information, he can access the background cloud computing server through the client network to obtain real-time logistics information; the SIM card of the client can also send query instructions to the LTE module through SMS, and the LTE module will send the real-time location after receiving the instructions. The coordinates and the mobile phone number of the SIM card that sent the instruction are sent to the background cloud computing server through the LTE module network, and the background cloud computing server obtains the location information through the electronic map platform and sends the location information to the mobile phone number in the form of a text message;

3. The main control chip can also receive the information collected by the vehicle status detection module (such as vehicle fuel volume, vehicle load, vehicle speed), and then the LTE module sends the collected information to the background cloud computing server through the network, so as to realize Monitoring of logistics and transportation vehicles; when the background cloud computing server detects abnormal information data (such as abnormal reduction of vehicle oil volume, vehicle load reduction, and vehicle speed is too fast), the background cloud computing server will send an alarm message to the main controller through the LTE module chip;

4. The video monitoring device in the cab can send the acquired video image information to the background cloud computing server through the LTE module and network to realize the monitoring of the driver, so as to effectively monitor the driver's illegal driving, fatigue driving and other behaviors. supervision;

5. The location information and vehicle monitoring information obtained by the client are all provided through the background cloud computing server, and the data comes from the big data database, with a large amount of data to meet various needs.

Description of drawings

Below in conjunction with accompanying drawing, the utility model is further described.

Accompanying drawing 1 is a structural block diagram of a logistics tracking and monitoring system based on cloud computing.

Detailed ways

Below in conjunction with accompanying drawing and specific embodiment the utility model is further described.

Example 1:

A kind of logistics tracking and monitoring system based on cloud computing of the utility model comprises a main control chip, an LTE module, a BDS module, a background cloud computing server, and a client; the BDS module is connected with the main control chip, the main control chip is connected with the LTE module, and the LTE The module communicates with the background cloud computing server through the network; the client communicates with the LTE module and the background cloud computing server through the network.

The main control chip, LTE module, and BDS module are arranged on the logistics transportation vehicle.

The vehicle state detection module includes a vehicle fuel quantity state detection module, a vehicle load state detection module, and a vehicle speed state detection module.

The client is a smartphone.

Example 2:

A logistics tracking and monitoring system based on cloud computing of the utility model includes a main control chip, an LTE module, a BDS module, a vehicle state detection module, a video monitoring device, a background cloud computing server, a client; a BDS module, a vehicle state detection module and the video monitoring device are all connected to the main control chip, the main control chip is connected to the LTE module, and the LTE module communicates with the background cloud computing server through the network; the client communicates with the LTE module and the background cloud computing server through the network.

The main control chip, LTE module, BDS module, vehicle status detection module, and video monitoring device are arranged on the logistics transportation vehicle.

The vehicle state detection module includes a vehicle fuel quantity state detection module, a vehicle load state detection module, and a vehicle speed state detection module.

The client is a smart tablet with a SIM card.

When in use, the main control chip controls the LTE module and the BDS module to realize base station positioning and BDS positioning to obtain the location coordinates of the logistics transportation vehicle, and the obtained location coordinates are sent to the background cloud computing server in real time through the LTE module network. The electronic map platform is used to obtain the location information of logistics transportation vehicles, so as to monitor the formal routes of logistics transportation vehicles. When users need to know logistics information, they can access the background cloud computing server through the client network to obtain real-time logistics information; the SIM card of the client can also send query instructions to the LTE module through SMS, and the LTE module will receive the real-time location coordinates and The mobile phone number of the SIM card that sends the instruction is sent to the background cloud computing server through the LTE module network, and the background cloud computing server obtains the location information through the electronic map platform and sends the location information to the mobile phone number in the form of a short message. The main control chip can also receive the information collected by the vehicle status detection module (such as vehicle fuel volume, vehicle load, vehicle speed), and then the LTE module will send the collected information to the background cloud computing server through the network, so as to realize logistics transportation. Vehicle monitoring; when the background cloud computing server detects abnormal information data (such as abnormal reduction of vehicle fuel volume, vehicle load reduction, vehicle speed is too fast), the background cloud computing server will send an alarm message to the main control chip through the LTE module. The video monitoring device in the cab can send the acquired video image information to the background cloud computing server through the LTE module and network to realize the monitoring of the driver, so as to effectively supervise the driver's illegal driving, fatigue driving and other behaviors. The location information and vehicle monitoring information obtained by the client are all provided by the background cloud computing server, and the data comes from the big data database, which has a large amount of data and meets various needs.

Through the above specific implementation manners, those skilled in the technical field can easily realize the present invention. However, it should be understood that the present invention is not limited to the specific embodiments described above. On the basis of the disclosed embodiments, those skilled in the art can arbitrarily combine different technical features, so as to realize different technical solutions.

Claims (4)

1., based on a material flow tracking supervisory system for cloud computing, it is characterized in that comprising main control chip, LTE module, BDS module, vehicle-state detection module, video monitoring apparatus, backstage cloud computing server, client; BDS module, vehicle-state detection module and video monitoring apparatus are all connected with main control chip, and main control chip connects LTE module, and LTE module to be connected with backstage cloud computing server by network and to communicate; Client is communicated with LTE module and backstage cloud computing server by network.

2. a kind of material flow tracking supervisory system based on cloud computing according to claim 1, is characterized in that main control chip, LTE module, BDS module, vehicle-state detection module, video monitoring apparatus are arranged on transport truck.

3. a kind of material flow tracking supervisory system based on cloud computing according to claim 2, is characterized in that vehicle-state detection module comprises vehicle fuel quantity state detection module, vehicle load state detection module, vehicle speed condition detection module.

4. a kind of material flow tracking supervisory system based on cloud computing according to claim 1, is characterized in that client is the Intelligent flat computer having the computing machine of SIM card or smart mobile phone or have SIM card.