CN113175983A - Monitoring method of intelligent vehicle weight online detection device - Google Patents
Monitoring method of intelligent vehicle weight online detection device Download PDFInfo
- Publication number
- CN113175983A CN113175983A CN202110472718.0A CN202110472718A CN113175983A CN 113175983 A CN113175983 A CN 113175983A CN 202110472718 A CN202110472718 A CN 202110472718A CN 113175983 A CN113175983 A CN 113175983A
- Authority
- CN
- China
- Prior art keywords
- data
- vehicle
- tire
- module
- processing platform
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 31
- 230000005540 biological transmission Effects 0.000 claims abstract description 24
- 238000006243 chemical reaction Methods 0.000 claims abstract description 24
- 239000002131 composite material Substances 0.000 claims abstract description 22
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000007726 management method Methods 0.000 claims description 7
- 230000005484 gravity Effects 0.000 claims description 4
- 238000012417 linear regression Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 4
- 150000001875 compounds Chemical class 0.000 abstract 1
- 239000000725 suspension Substances 0.000 description 5
- 238000009826 distribution Methods 0.000 description 3
- 238000009530 blood pressure measurement Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Measuring Fluid Pressure (AREA)
Abstract
The invention discloses a monitoring method of an intelligent vehicle weight on-line detection device, belonging to the technical field of transportation and intelligent measurement and control. Including compound sensor module, data conversion transmission module, data storage module and high in the clouds data processing platform, its characterized in that: the composite sensor module and the data conversion transmission module are arranged at the root of an inflating valve in an automobile tire, the composite sensor module is used for collecting temperature, pressure and deformation data of the tire, the composite sensor module is connected with the data conversion transmission module, and detection data of the composite sensor module is processed by the data conversion transmission module and then uploaded to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud data processing platform through the Internet of things, the cloud data processing platform calculates the weight of the vehicle according to the artificial intelligence model of the vehicle load, and the load of the vehicle is pre-warned through the network. The invention has the advantages of simple structure, on-line real-time monitoring, high precision and the like.
Description
Technical Field
The invention relates to a monitoring method based on an intelligent vehicle weight on-line detection device, belonging to the technical field of transportation and intelligent measurement and control.
Background
When the load of a vehicle is detected in transportation, the weight of the vehicle is monitored in real time through a sensor in the online monitoring mode of the weight of the vehicle, the vehicle overload can be effectively prevented, the vehicle is prevented from passing through a weight-limited road section in combination with road condition planning application, the fatigue or abrasion degree of a vehicle bearing part is evaluated through high-order data analysis such as weight mileage product and the like, the safety and reliability of the vehicle are quantitatively evaluated, and more important economic benefits and social benefits of safe production are achieved.
In the typical application, as shown in fig. 1, for a spring suspension system, the rotation angle is measured through mechanical structure; for air suspension, as shown in fig. 2, pressure measurements of the additional cylinder are used; and the vehicle bearing data can be calculated by respectively carrying out proper operation on the two measurement results. However, the above two methods and structures have the following disadvantages:
1. the mechanical structure is complex and the installation is difficult;
2. the number of structural parts is large, and the cost is high;
3. the data collected, does not include the wheel set weight.
Disclosure of Invention
In order to overcome the defects, the invention provides a monitoring method of an intelligent vehicle weight online detection device, which is used for collecting the load bearing deformation data of a tire by utilizing ultrasonic waves and a photoelectric sensor while measuring the tire pressure and the tire temperature online. Through the analysis and the list of the tire pressure, the tire temperature and the tire deformation data, the bearing distribution of the wheel set of the vehicle and the total weight of the vehicle can be accurately calculated.
The invention is realized by the following technical scheme:
the utility model provides an intelligent vehicle weight on-line measuring device, includes composite sensor module, data conversion transmission module, data storage module and high in the clouds data processing platform, its characterized in that: the composite sensor module and the data conversion transmission module are arranged at the root of an inflating valve in an automobile tire, the composite sensor module is used for collecting temperature, pressure and deformation data of the tire, the composite sensor module is connected with the data conversion transmission module, and detection data of the composite sensor module is processed by the data conversion transmission module and then uploaded to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud data processing platform through the Internet of things, the cloud data processing platform calculates the weight of the vehicle according to the artificial intelligence model of the vehicle load, and the load of the vehicle is pre-warned through the network; the technical scheme is further explained as follows: the composite sensor module comprises a pressure sensor, a temperature sensor, a tire deformation detector and a power management device, wherein the power management device provides power for the pressure sensor, the temperature sensor, the tire deformation detector and the data conversion and transmission module; the technical scheme is further explained as follows: the tire deformation detector is an ultrasonic transducer which sends out ultrasonic waves and receives the ultrasonic waves reflected by the inner wall of the tire, and deformation data of the tire caused by load bearing are calculated by comparing the phases of the transmitted waves and the received waves; the technical scheme is further explained as follows: each automobile tire is internally provided with a composite sensor module and a data conversion and transmission module.
A monitoring method based on an intelligent vehicle weight online detection device comprises the following steps:
1) the tested automobile tires are tested off-line,
establishing a four-dimensional five-column table;
w＝w(x,p,t,s)
wherein:
w weight applied;
p the pressure value measured by the pressure sensor;
t temperature value measured by the temperature sensor;
s the transmitting and receiving phase difference measured by the ultrasonic transducer;
x tire specification and model;
2) establishing a linear regression or Bayesian regression artificial intelligence model of the automobile tire on a cloud data processing platform, and training by using offline data;
3) implanting the trained artificial intelligence model into a vehicle-mounted data storage module, wherein the model can be dynamically updated through a network;
4) the pressure sensor, the temperature sensor and the tire deformation detector are used for processing detected data measured by the pressure sensor, the temperature sensor and the tire deformation detector through the data conversion transmission module and then uploading the processed detected data to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud-end data processing platform through the Internet of things;
5) implanting the vehicle-mounted data storage module and the cloud data processing platform into an artificial intelligence model by using the obtained pressure, temperature and ultrasonic data, and performing edge calculation according to the artificial intelligence model;
6) the vehicle-mounted data storage module and the cloud data processing platform display and upload edge calculation results containing wheel set bearing and vehicle total weight;
7) the vehicle-mounted data storage module and the cloud data processing platform can perform warning such as but not limited to tire safety margin and vehicle gravity center change according to the edge calculation model.
The invention has the following beneficial effects:
1. the invention carries out bearing calculation based on the pressure, the temperature and the deformation of the tire, and has simple structure;
2. the tire pressure and temperature data can be used for bearing calculation and can also be used for monitoring the pressure and temperature of the tire in real time;
3. the invention uses the ultrasonic transducer to measure the deformation of the tire;
4. the invention utilizes artificial intelligence techniques such as and not limited to linear regression and Bayesian regression to predict wheel group weight bearing and vehicle gross weight;
5. the present invention may build and train artificial intelligence models from the obtained data for different alert services such as, but not limited to, tire safety margins and vehicle center of gravity changes.
Drawings
Fig. 1 shows a device for measuring the rotation angle of a spring suspension system.
Fig. 2 is an air suspension system pressure measurement device.
FIG. 3 is a schematic diagram of an intelligent vehicle load online monitoring system.
In the figure: a spring system 1, a rotation angle measuring system 2, a link system 3, a pressure measuring device 4 and an air suspension system 5.
Detailed Description
The invention will be further explained with reference to the accompanying drawings:
fig. 3 is a schematic diagram of an intelligent vehicle load online monitoring system based on tire pressure, temperature and deformation measurement according to the present invention.
The vehicle weight online monitoring method and the vehicle weight online monitoring device are composed of a composite sensor module, a data conversion and transmission module, a data storage module and a cloud data processing platform, wherein the composite sensor module comprises a pressure sensor, a temperature sensor, a tire deformation detector and a power management device, and the pressure sensor measures the internal pressure of a tire; the temperature sensor measures the temperature in the tire; an ultrasonic transducer of the tire deformation detector sends out ultrasonic waves and receives the ultrasonic waves reflected by the inner wall of the tire, and deformation data of the tire caused by bearing can be calculated by comparing the phases of the transmitted waves and the received waves; the power management device provides power for the pressure sensor, the temperature sensor, the ultrasonic transducer and the data conversion and transmission module.
The data conversion and transmission module collects detection signals of the pressure sensor and the temperature sensor and converts the detection signals into pressure and temperature data, the power management device drives the ultrasonic transducer to emit ultrasonic waves and receive electric signals generated by reflected waves, and the phases of the emitted waves and the reflected waves are compared to obtain ultrasonic wave phase difference data serving as tire deformation detection data. And uploading the acquired pressure, temperature and phase difference data to a vehicle-mounted data storage module and a cloud data processing platform through a local area network. A composite sensor module mixed data conversion transmission module is arranged in each automobile tire, and the composite sensor module and the data conversion transmission module are installed at the root of an air valve in the tire.
The vehicle-mounted data storage module and the cloud data processing platform collect and store pressure, temperature and phase difference data of each wheel set; calculating the tire deformation size of each wheel set according to the phase difference, and calculating the bearing of each wheel set by combining pressure and temperature data; alarming the high-pressure wheel set and the low-pressure wheel set according to the bearing distribution; evaluating the vehicle load-bearing distribution and carrying out abnormal alarm; and uploading the data of each wheel set to a cloud data processing platform. The vehicle-mounted data storage module and the display device are integrated into a device and are installed in the cab.
The monitoring method of the intelligent vehicle weight online detection device comprises the following specific operation steps:
1) the tested automobile tires are tested off-line,
establishing a four-dimensional five-column table;
w＝w(x,p,t,s)
wherein:
w weight applied;
p the pressure value measured by the pressure sensor;
t temperature value measured by the temperature sensor;
s the transmitting and receiving phase difference measured by the ultrasonic transducer;
x tire specification and model;
2) establishing a linear regression or Bayesian regression artificial intelligence model of the automobile tire on a cloud data processing platform, and training by using offline data;
3) implanting the trained artificial intelligence model into a vehicle-mounted data storage module, wherein the model can be dynamically updated through a network;
4) the pressure sensor, the temperature sensor and the tire deformation detector are used for processing detected data measured by the pressure sensor, the temperature sensor and the tire deformation detector through the data conversion transmission module and then uploading the processed detected data to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud-end data processing platform through the Internet of things;
5) the vehicle-mounted data storage module and the cloud data processing platform perform edge calculation according to the implanted artificial intelligence model by using the obtained pressure, temperature and ultrasonic data;
6) the vehicle-mounted data storage module and the cloud data processing platform display and upload edge calculation results containing wheel set bearing and vehicle total weight;
7) the vehicle-mounted data storage module and the cloud data processing platform can perform warning such as but not limited to tire safety margin and vehicle gravity center change according to the edge calculation model.
The present invention is not limited to the technical contents disclosed in the above embodiments, and various changes may be made. All structural equivalents which may be introduced in the specification and drawings of the present invention or used directly or indirectly in other related technical fields are encompassed by the present invention.
Claims (5)
1. The utility model provides an intelligent vehicle weight on-line measuring device, includes composite sensor module, data conversion transmission module, data storage module and high in the clouds data processing platform, its characterized in that: the composite sensor module and the data conversion transmission module are arranged at the root of an inflating valve in an automobile tire, the composite sensor module is used for collecting temperature, pressure and deformation data of the tire, the composite sensor module is connected with the data conversion transmission module, and detection data of the composite sensor module is processed by the data conversion transmission module and then uploaded to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud data processing platform through the Internet of things, the cloud data processing platform calculates the weight of the vehicle according to the artificial intelligence model of the vehicle load, and the load of the vehicle is pre-warned through the network.
2. The intelligent on-line vehicle weight detection device of claim 1, wherein: the composite sensor module comprises a pressure sensor, a temperature sensor, a tire deformation detector and a power management device, wherein the power management device provides power for the pressure sensor, the temperature sensor, the tire deformation detector and the data conversion and transmission module.
3. The intelligent vehicle weight on-line detection device according to claim 2, characterized in that: the tire deformation detector is an ultrasonic transducer which sends out ultrasonic waves and receives the ultrasonic waves reflected by the inner wall of the tire, and deformation data of the tire caused by load bearing are calculated by comparing the phases of the transmitted waves and the received waves.
4. The intelligent on-line vehicle weight detection device of claim 1, wherein: each automobile tire is internally provided with a composite sensor module and a data conversion and transmission module.
5. A monitoring method based on an intelligent vehicle weight online detection device is characterized in that: the monitoring method comprises the following steps:
1) off-line testing of a detected vehicle tyre
Building a four-dimensional five-list table
w＝w(x,p,t,s)
Wherein:
w weight applied;
p the pressure value measured by the pressure sensor;
t temperature value measured by the temperature sensor;
s the transmitting and receiving phase difference measured by the ultrasonic transducer;
x tire specification and model;
2) establishing a linear regression or Bayesian regression artificial intelligence model of the automobile tire on a cloud data processing platform, and training by using offline data;
3) implanting the trained artificial intelligence model into a vehicle-mounted data storage module, wherein the model can be dynamically updated through a network;
4) the pressure sensor, the temperature sensor and the tire deformation detector are used for processing detected data measured by the pressure sensor, the temperature sensor and the tire deformation detector through the data conversion transmission module and then uploading the processed detected data to the vehicle-mounted data storage module; the data storage module uploads the data to the cloud-end data processing platform through the Internet of things;
5) implanting the vehicle-mounted data storage module and the cloud data processing platform into an artificial intelligence model by using the obtained pressure, temperature and ultrasonic data, and performing edge calculation according to the artificial intelligence model;
6) the vehicle-mounted data storage module and the cloud data processing platform display and upload edge calculation results containing wheel set bearing and vehicle total weight;
7) the vehicle-mounted data storage module and the cloud data processing platform can perform warning such as but not limited to tire safety margin and vehicle gravity center change according to the edge calculation model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110472718.0A CN113175983A (en) | 2021-04-29 | 2021-04-29 | Monitoring method of intelligent vehicle weight online detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110472718.0A CN113175983A (en) | 2021-04-29 | 2021-04-29 | Monitoring method of intelligent vehicle weight online detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113175983A true CN113175983A (en) | 2021-07-27 |
Family
ID=76925249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110472718.0A Pending CN113175983A (en) | 2021-04-29 | 2021-04-29 | Monitoring method of intelligent vehicle weight online detection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113175983A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0781341A (en) * | 1993-09-20 | 1995-03-28 | Calsonic Corp | Tire strain alarm device by ultrasonic wave |
| US20100180677A1 (en) * | 2009-01-21 | 2010-07-22 | Michiya Katou | Vehicle load weight detecting apparatus |
| CN103770788A (en) * | 2012-10-19 | 2014-05-07 | 固特异轮胎和橡胶公司 | Vehicle weight and center of gravity estimation system and method |
| CN104275994A (en) * | 2013-07-12 | 2015-01-14 | 英飞凌科技股份有限公司 | Weight detection by tire pressure sensing |
| CN105444856A (en) * | 2015-11-12 | 2016-03-30 | 云南电网有限责任公司物流服务中心 | Tire pressure dynamic weighing device based on neural network |
| CN105444852A (en) * | 2015-12-25 | 2016-03-30 | 湖南大学科技园有限公司 | TPMS-based vehicle load detection method, device, vehicle real-time load monitoring method and system |
| CN106515621A (en) * | 2016-10-20 | 2017-03-22 | 深圳市体数科科技有限公司 | Method and system for monitoring automobile load based on intelligent tire pressure gauge |
| CN109116362A (en) * | 2018-07-03 | 2019-01-01 | 四川驹马科技有限公司 | A kind of adaptive load-carrying detection system of lorry based on ultrasound and its method |
| CN211827353U (en) * | 2020-04-10 | 2020-10-30 | 中信戴卡股份有限公司 | Remote vehicle management system |
| CN112498019A (en) * | 2020-11-24 | 2021-03-16 | 广西路桥工程集团有限公司 | Detection system and detection method for detecting vehicle load capacity by utilizing tire pressure |
-
2021
- 2021-04-29 CN CN202110472718.0A patent/CN113175983A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0781341A (en) * | 1993-09-20 | 1995-03-28 | Calsonic Corp | Tire strain alarm device by ultrasonic wave |
| US20100180677A1 (en) * | 2009-01-21 | 2010-07-22 | Michiya Katou | Vehicle load weight detecting apparatus |
| CN103770788A (en) * | 2012-10-19 | 2014-05-07 | 固特异轮胎和橡胶公司 | Vehicle weight and center of gravity estimation system and method |
| CN104275994A (en) * | 2013-07-12 | 2015-01-14 | 英飞凌科技股份有限公司 | Weight detection by tire pressure sensing |
| CN105444856A (en) * | 2015-11-12 | 2016-03-30 | 云南电网有限责任公司物流服务中心 | Tire pressure dynamic weighing device based on neural network |
| CN105444852A (en) * | 2015-12-25 | 2016-03-30 | 湖南大学科技园有限公司 | TPMS-based vehicle load detection method, device, vehicle real-time load monitoring method and system |
| CN106515621A (en) * | 2016-10-20 | 2017-03-22 | 深圳市体数科科技有限公司 | Method and system for monitoring automobile load based on intelligent tire pressure gauge |
| CN109116362A (en) * | 2018-07-03 | 2019-01-01 | 四川驹马科技有限公司 | A kind of adaptive load-carrying detection system of lorry based on ultrasound and its method |
| CN211827353U (en) * | 2020-04-10 | 2020-10-30 | 中信戴卡股份有限公司 | Remote vehicle management system |
| CN112498019A (en) * | 2020-11-24 | 2021-03-16 | 广西路桥工程集团有限公司 | Detection system and detection method for detecting vehicle load capacity by utilizing tire pressure |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106198058B (en) | Real-time vertical wheel impact force measurement method based on tire pressure monitoring | |
| CN102107591B (en) | Abnormal condition identification method for tire pressure of goods wagon | |
| CN110689723B (en) | Truck overload identification method based on power distribution and self-learning | |
| CN109357822B (en) | Bridge rapid testing and evaluating method based on time-varying power characteristic change of axle coupling system | |
| CN114005278B (en) | Intelligent monitoring and early warning system and method for highway infrastructure group | |
| CN117371337B (en) | Water conservancy model construction method and system based on digital twin | |
| CN111260822B (en) | Rail transit vehicle health state analysis method and terminal based on big data | |
| CN106156336A (en) | A kind of Cable-Stayed Bridge Structure state evaluation system and assessment method | |
| CN102044127A (en) | Early warning service management system based on remote expert service | |
| CN106006344A (en) | Online escalator fault early warning system and fault diagnosis method | |
| CN111027256A (en) | Bridge risk prediction method and system based on vehicle load spatial distribution | |
| CN113092115A (en) | Digital twin model construction method of digital-analog combined drive full-life rolling bearing | |
| CN112766771A (en) | SVM (support vector machine) -based whole heavy-duty automobile mass prediction method | |
| CN109238735A (en) | The malfunction monitoring diagnostic system of the electronic AGV of port cargo | |
| CN111882071A (en) | Prestress steel member monitoring method based on machine learning | |
| CN106644299A (en) | Airship airbag airtightness online monitoring system and method | |
| CN110411686A (en) | The quiet dynamic image holography condition health monitoring diagnostic method of bridge and system | |
| CN112393891A (en) | Wireless monitoring system and method for fatigue damage of key parts of agricultural operation machinery | |
| US11941920B2 (en) | Apparatus and method of providing automotive preventive maintenance service | |
| CN104697765A (en) | Method and system for detecting faults of automotive air conditioner | |
| CN113175983A (en) | Monitoring method of intelligent vehicle weight online detection device | |
| CN207347163U (en) | Oil gas monitors system | |
| US20240192090A1 (en) | Method and apparatus for evaluating health of vehicle chassis | |
| CN108373088A (en) | Elevator functions safety evaluation method | |
| CN112067289A (en) | Motor shaft and transmission shaft abnormal vibration early warning algorithm based on neural network |
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 |