CN110154654A - A big data and cloud computing tire automatic detection system - Google Patents

Abstract

The invention discloses a big data and cloud computing tire automatic detection system, which includes a tire detection module, a vehicle-mounted computer, a big data and cloud computing platform, and an alarm and information display module. The tire detection module includes an RFID chip and a tire built-in Chip, the tire detection module transmits information in real time to the on-board computer, big data and cloud computing platform, and alarm and information display module through the RFID chip in the form of RF signals. The present invention uploads all information of the tire life cycle to big data and cloud computing The platform realizes the management, storage, calculation and analysis of massive tire information. The application of on-board computer, big data and cloud computing platform realizes the real-time extraction and historical query of tire life cycle parameter information. The powerful prediction function of the tire automatic detection system minimizes the possible danger of automobile tires and minimizes the risk of accidents.

Description

A big data and cloud computing tire automatic detection system

technical field

The invention relates to the technical field of automobile tire detection, in particular to a big data and cloud computing tire automatic detection system.

Background technique

Statistics show that a considerable number of vehicle traffic accidents are directly caused by tires, whether it is excessive tire temperature, excessively high or Cause damage and bring huge hidden dangers to the safe driving of the car. In order to solve frequent vehicle traffic accidents on highways, the United States first proposed and began to enforce the Tire Pressure Monitoring System (TPMS) in 2007. TPMS mainly consists of tire temperature, tire pressure, wheel speed, wheel It consists of a speed difference monitoring module (temperature sensor, pressure sensor, wheel speed sensor) and a signal receiving, processing and display module (central monitor) installed in the cab.

In recent years, with the rapid development of smart tire vehicle safety technology, more tire parameter information is collected and processed by the on-board computer system, including tire temperature, tire pressure, tire surface wear, and even tire dynamic balance. The existing TPMS is only It is a single transmission of information to the on-board computer, which cannot integrate and compare tire temperature, tire pressure, tire wear at key parts, and tire dynamic balance data during driving, so as to make timely predictions and alarms based on tire information, reducing Therefore, we propose a big data and cloud computing tire automatic detection system.

Contents of the invention

The purpose of the present invention is to provide a big data and cloud computing tire automatic detection system to solve the problem that the existing TPMS in the above-mentioned background technology only transmits information to the on-board computer, and cannot monitor the tire temperature and tire pressure during driving. , tire wear conditions of key parts and tire dynamic balance data are integrated and compared, so as to make timely prediction and alarm according to tire information, and reduce dangerous problems.

In order to achieve the above object, the present invention provides the following technical solutions: a big data and cloud computing tire automatic detection system, including a tire detection module, a vehicle-mounted computer, a big data and cloud computing platform, and an alarm and information display module, the tire detection module It includes an RFID chip and a tire built-in chip. The tire detection module transmits information in real time to the on-board computer, big data and cloud computing platform, and the alarm and information display module in the form of RF signals through the RFID chip. The information of the module is received and processed and displayed on the screen of the on-board computer, and the on-board computer transmits the received and processed information to the big data and cloud computing platform through the Internet in real time.

Preferably, the alarm and information display module is connected with the tire detection module, the on-board computer, and the big data and cloud computing platform through a wireless mode.

Preferably, the alarm and information display module is connected to the on-board computer through a wired mode.

Preferably, the tire detection module further includes a temperature sensor, a pressure sensor, a linear acceleration sensor, a photoelectric sensor or a wheel speed sensor.

Preferably, the tire built-in chip records information such as the model, specification, and pattern characteristics of the tire, and the tire built-in chip is read by a handheld or other device to obtain the tire information.

Preferably, the tire explosion parameter threshold is set in the on-board computer.

The invention provides a big data and cloud computing tire automatic detection system, which has the following beneficial effects:

(1) The present invention realizes the management, storage, calculation and analysis of massive tire information by uploading all the tire life cycle information to the big data and cloud computing platform. The application of on-board computer, big data and cloud computing platform realizes the real-time extraction and historical query of tire life cycle parameter information. The powerful prediction function of the tire automatic detection system minimizes the possible danger of automobile tires and minimizes the risk of accidents.

(2) The big data and cloud computing tire automatic detection system of the present invention has information memory function, alarm display function and prediction reminder function, and the alarm display function and prediction reminder function can be used to alarm and remind the detected danger in real time.

Description of drawings

Fig. 1 is the big data and cloud computing tire automatic detection system structural representation of the present invention;

Fig. 2 is a schematic structural diagram of the tire detection module of the present invention.

In the figure: 1. Tire detection module; 2. On-board computer; 3. Big data and cloud computing platform; 4. Alarm and information display module.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

As shown in Figures 1-2, the present invention provides a technical solution: a big data and cloud computing tire automatic detection system, including a tire detection module 1, an on-board computer 2, a big data and cloud computing platform 3, and an alarm and information display Module 4, the tire detection module 1 includes an RFID chip and a tire built-in chip, and the tire detection module 1 sends an on-board computer 2, a big data and cloud computing platform 3 and an alarm and information display in the form of an RF signal through the RFID chip The module 4 transmits information in real time, the on-board computer 2 receives and processes the information of the tire detection module 1 and displays it on the screen of the on-board computer 2, and the on-board computer 2 transmits the received and processed information to big data and cloud in real time through the Internet. computing platform3.

Described alarm and information display module 4 are connected with tire detection module 1, vehicle-mounted computer 2 and big data and cloud computing platform 3 through wireless mode; Described alarm and information display module 4 is connected with vehicle-mounted computer 2 through wired mode, alarm and information The display module 4 is connected with the on-board computer 2 and the big data and cloud computing platform 3, so that when the parameters reach the set alarm threshold, the on-board computer 2, the alarm and information display module 4 perform signal alarm and sound alarm to remind the driver that the tire may exist Hidden dangers, improve safety, and can also display tire parameter information at any time; the tire detection module 1 also includes temperature sensors, pressure sensors, linear acceleration sensors, photoelectric sensors or wheel speed sensors, etc., using multiple sensors to detect in real time information such as tire temperature, wheel pressure, wheel rotation angle, wheel rotation angular velocity, body speed signal, wheel vibration signal, tire wear; Read the tire’s built-in chip through a handheld or other device to obtain the tire information. When installing or replacing a tire, you can read the tire’s built-in chip through a handheld or other device to obtain the tire information. At the same time, record the time of installing or replacing the tire on the tire chip. Information such as position, personnel and car model, is convenient to understand tire information in detail later stage; The tire explosion parameter threshold is set in the described on-board computer 2, when reaching setting alarm threshold, system will carry out signal alarm, sound alarm, meanwhile, by means of Big data and cloud computing platform 3, when the system predicts that there will be a dangerous situation in the future, the system will alert the driver with a signal alarm and a sound alarm, so that it has an alarm function.

It should be noted that, a big data and cloud computing tire automatic detection system, when working, the tire detection module 1 will detect the tire temperature, wheel pressure, wheel rotation angle, wheel rotation angular velocity, vehicle body speed signal, wheel vibration in real time Signals, tire wear and other signal information are transmitted to the vehicle-mounted computer 2 and the alarm and information display module 4 through the RFID chip with RF signals, and then the vehicle-mounted computer 2 receives the signal and performs preliminary processing. When parameters such as the tire dynamic balance state during driving reach the set alarm threshold, the system will issue a signal alarm and a sound alarm, and the on-board computer 2 will upload the preliminary processed information to the big data and cloud computing platform 3 through the Internet. The database of the cloud computing platform 3 manages, stores, calculates and analyzes massive tire information, analyzes and predicts changes in tire parameters, and gives sound alarm reminders to drivers of bad habits, thereby reducing the possibility of accidents as much as possible, and Predict changes in various tire parameters, especially key parameters such as tire temperature and tire pressure, and present them on the display screens of the on-board computer 2 and the alarm and information display module 4, wherein the tire built-in chip in the tire detection module 1 records the model, specification, Pattern feature information, tire installation or replacement time, location, personnel and car model information, tire temperature, wheel pressure, wheel rotation angle, wheel rotation angular velocity, body speed signal, wheel vibration signal, tire wear and other information during use, When it is detected that the replaced tire does not match the vehicle detected by the system, the system will alarm and remind.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (6)

1. a kind of big data and cloud computing Tire Automatic Detection System, it is characterised in that: including tire checking module (1), vehicle-mounted Computer (2), big data and cloud computing platform (3) and alarm and information display module (4), the interior packet of the tire checking module (1) Included RFID chip and tire built-in chip, the tire checking module (1) RFID chip in the form of RF signal to vehicle Carry computer (2), big data and cloud computing platform (3) and alarm and information display module (4) real-time delivery information, the vehicle mounted electric Brain (2) carries out the information of tire checking module (1) to receive processing and be shown on the screen of vehicle-mounted computer (2), described vehicle-mounted The information for receiving processing is transmitted to big data and cloud computing platform (3) by internet in real time by computer (2).

2. a kind of big data according to claim 1 and cloud computing Tire Automatic Detection System, it is characterised in that: the report It is alert to pass through wireless mode and tire checking module (1), vehicle-mounted computer (2) and big data and cloud computing with information display module (4) Platform (3) connection.

3. a kind of big data according to claim 1 and cloud computing Tire Automatic Detection System, it is characterised in that: the report It is alert to be connect by wireline mode with vehicle-mounted computer (2) with information display module (4).

4. a kind of big data according to claim 1 and cloud computing Tire Automatic Detection System, it is characterised in that: the wheel It further include that temperature sensor, pressure sensor, linear acceleration transducer, photoelectric sensor or wheel speed pass in tire detection module (1) Sensor etc..

5. a kind of big data according to claim 1 and cloud computing Tire Automatic Detection System, it is characterised in that: the wheel The information such as the model, specification, relief features of tire are recorded in tire built-in chip, are read in tire by hand-held or other equipment It sets chip and obtains the tire information.

6. a kind of big data according to claim 1 and cloud computing Tire Automatic Detection System, it is characterised in that: the vehicle It carries in computer (2) and is provided with tire burst parameter threshold.