CN111663411A - Multi-information-fusion road paving device and method - Google Patents
Multi-information-fusion road paving device and method Download PDFInfo
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- CN111663411A CN111663411A CN202010402300.8A CN202010402300A CN111663411A CN 111663411 A CN111663411 A CN 111663411A CN 202010402300 A CN202010402300 A CN 202010402300A CN 111663411 A CN111663411 A CN 111663411A
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C19/00—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
- E01C19/48—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for laying-down the materials and consolidating them, or finishing the surface, e.g. slip forms therefor, forming kerbs or gutters in a continuous operation in situ
- E01C19/4866—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for laying-down the materials and consolidating them, or finishing the surface, e.g. slip forms therefor, forming kerbs or gutters in a continuous operation in situ with solely non-vibratory or non-percussive pressing or smoothing means for consolidating or finishing
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Abstract
The invention provides a pavement paving device and method with multi-information fusion, and relates to paving equipment utilizing an information technology. The problem that high-speed paving equipment in the prior art is difficult to control manually is solved. The road paving device and method with multi-information fusion comprises a road paver, a controller, a temperature sensor, a humidity sensor and a wind speed sensor, wherein the controller is connected with the temperature sensor; the controller receives environmental information data monitored by the temperature sensor, the humidity sensor and the wind speed sensor, processes the data by using the neural network algorithm model, and controls the paving speed and the vibrating and ironing frequency of the paver according to the output obtained by the neural network algorithm model. The invention utilizes the neural network to establish a monitoring and evaluating system for quality influencing factors in the pavement paving construction process, and gives the running speed and the vibrating ironing frequency setting of the paver in real time according to factors such as environmental temperature, humidity, wind power and the like, thereby ensuring the operation quality and efficiency of the paver.
Description
Technical Field
The invention belongs to the technical field of paving equipment, relates to paving equipment utilizing an information technology, and particularly relates to a pavement paving device and method with multi-information fusion.
Background
The root cause of the quality problem of the asphalt pavement in China is in the construction process of the asphalt pavement, and the construction of the asphalt pavement is taken as a dynamic process throughout the whole process, and various links in the construction are as follows: factors such as raw materials, mechanical equipment, construction process control, constructors, weather environment and design can generate large variation in the construction process, and the quality of the construction process of the asphalt pavement can be affected. In modern highway construction, a paver is an important operation machine for ensuring high-quality and high-efficiency construction of road surface engineering. In the construction practice, because the main parameters of the paver are different from the matched equipment, the reasonable selection and adjustment of the operation parameters of the paver become a problem which cannot be ignored. The influence of the size and the change of the paving operation speed on the quality of the asphalt pavement is particularly prominent. Practice proves that the influence of the paving speed on the pavement quality is mainly concentrated on the aspects of surface layer compactness, pavement evenness, asphalt mixture segregation and the like. At present, the management level of the mechanized construction organization in China is low, and under most conditions, the using speed of the spreading machine under the engineering condition is about one fifth of the maximum design speed. After the operation speed is improved, the technical state of the machine, the operation level of a machine operator, the mutual matching among constructors and the like cannot keep up with each other, and the construction can be guaranteed only by reducing the operation speed and the efficiency of the machine.
Disclosure of Invention
The invention aims to provide a pavement paving device and method with multi-information fusion aiming at the problems in the prior art.
The purpose of the invention can be realized by the following technical scheme: a road paving device with multi-information fusion comprises a paver, a controller, a temperature sensor, a humidity sensor and a wind speed sensor, wherein the controller is connected with the temperature sensor; the controller receives environmental information data monitored by the temperature sensor, the humidity sensor and the wind speed sensor, performs denoising, normalization and VSM formatting pretreatment on the environmental information data, converts the environmental information data into a data format suitable for data mining, processes the environmental information data by using the neural network algorithm model, and controls the paving speed and the vibrating ironing frequency of the paver according to output obtained by the neural network algorithm model.
In some embodiments, the system further comprises communication equipment and a monitoring center, and the controller and the monitoring center perform information interaction through the communication equipment.
In some embodiments, the communication device is a 4G mobile communication network.
In certain embodiments, the controller is an STC89C52 single chip.
In some embodiments, the system further comprises an alarm module and a liquid crystal display module, wherein the controller displays the environmental information data in real time through the liquid crystal display module, and controls the alarm module to send alarm information when a fault occurs.
In some embodiments, the temperature sensor is a DSP100 road patrol temperature sensor.
In certain embodiments, the humidity sensor is an HM1500LF humidity sensor.
In certain embodiments, the wind speed sensor is a US200-28A wind speed sensor.
A pavement paving method with multi-information fusion comprises the following steps:
firstly, selecting representative environmental information data as training sample data of a neural network algorithm model according to expert knowledge and practical experience;
secondly, inputting training sample data into the neural network algorithm model, and correcting the weight of each layer of the neural network algorithm model according to the result of the output layer of the neural network algorithm model by combining various kinds of expert knowledge, so as to obtain an optimized neural network algorithm model;
thirdly, the monitored real-time information data of the working environment of the road paver is used as the input of the neural network algorithm model, and the paving speed and the vibrating ironing frequency of the road paver are controlled according to the change of the output of the neural network algorithm model
In some embodiments, a hidden layer is included in the neural network algorithm model for detecting various faults.
Compared with the prior art, the road paving device and the method with multi-information fusion have the advantages that:
the invention provides a set of complete real-time guiding and monitoring system for paving quality of an asphalt pavement, which develops real-time data acquisition equipment of an asphalt mixture paver, selects a 4G wireless network, utilizes a neural network to establish a monitoring and evaluating system for quality influence factors in the paving construction process of the pavement, and gives the running speed and the vibrating ironing frequency setting of the paver in real time according to factors such as environmental temperature, humidity, wind power and the like, thereby ensuring the operation quality and efficiency of the paver.
Drawings
In the drawings, which are not necessarily drawn to scale, like reference numerals may describe similar components in different views. Like reference numerals having different letter suffixes may represent different examples of similar components. The drawings illustrate generally, by way of example, but not by way of limitation, various embodiments discussed herein.
Fig. 1 is a schematic view of the module configuration of the present invention.
In the figure: 1-1, a monitoring center; 1-2, an alarm module; 1-3, a liquid crystal display module; 1-4, a communication center; 1-5, a controller; 1-6, temperature sensor; 1-7, a humidity sensor; 1-8 and a wind speed sensor.
Detailed Description
The following are specific examples of the present invention, and the technical solutions of the present invention are further described with reference to the drawings, but the present invention is not limited to these examples, and the following embodiments do not limit the invention according to the claims. Moreover, all combinations of features described in the embodiments are not necessarily essential to the solution of the invention.
It will be understood by those of ordinary skill in the art that all directional references (e.g., above, below, upward, downward, top, bottom, left, right, vertical, horizontal, etc.) are illustratively used in the figures to aid the reader's understanding and do not imply (e.g., position, orientation, or use, etc.) a limitation on the scope of the invention, which is defined by the claims appended hereto. Additionally, the term "substantially" may refer to slight imprecision or deviation in conditions, amounts, values, or dimensions, etc., some of which may be within manufacturing or tolerance limits.
Examples
As shown in fig. 1, the road paving device with multi-information fusion comprises a road paver, a controller 1-5, a temperature sensor 1-6, a humidity sensor 1-7 and a wind speed sensor 1-8; the controller is an STC89C52 single-chip microcomputer chip, the temperature sensor is a DSP100 road patrol temperature sensor, the humidity sensor is an HM1500LF humidity sensor, and the wind speed sensor is an US200-28A wind speed sensor. The controller receives environmental information data monitored by the temperature sensor, the humidity sensor and the wind speed sensor, performs denoising, normalization and VSM formatting pretreatment on the environmental information data, converts the environmental information data into a data format suitable for data mining, processes the environmental information data by using the neural network algorithm model, and controls the paving speed and the vibrating ironing frequency of the paver according to output obtained by the neural network algorithm model.
The system also comprises communication equipment 1-4 and a monitoring center, wherein the controller and the monitoring center carry out information interaction through the communication equipment, and the communication equipment is a 4G mobile communication network. The intelligent environmental monitoring system also comprises an alarm module 1-2 and a liquid crystal display module 1-3, wherein the controller displays environmental information data in real time through the liquid crystal display module and controls the alarm module to send alarm information when a fault occurs.
When the device works, the temperature sensors 1-6, the humidity sensors 1-7 and the wind speed sensors 1-8 are used for respectively acquiring paving temperature, humidity and wind speed data in the asphalt paving operation process and sending the paving temperature, humidity and wind speed data to the controller through the wireless transmission module, the controller 1-5 is used for receiving signals acquired by the sensors, and the paving temperature, humidity and wind speed data are displayed through the liquid crystal display module 1-3.
The monitoring center 1-1 can remotely monitor the asphalt paving operation in real time, timely remind field workers to control the travelling speed and the vibrating ironing frequency of the paver, and when the asphalt paving operation has problems, the controller controls the alarm module to give an alarm to remind the field workers to correct in time, so that the quality of the paved asphalt pavement is ensured.
The pavement paving method with multi-information fusion comprises the following steps:
firstly, selecting representative environmental information data as training sample data of a neural network algorithm model according to expert knowledge and practical experience;
secondly, inputting training sample data into the neural network algorithm model, and correcting the weight of each layer of the neural network algorithm model according to the result of the output layer of the neural network algorithm model by combining various kinds of expert knowledge, so as to obtain an optimized neural network algorithm model;
and thirdly, using the monitored real-time information data of the working environment of the paving machine as the input of the neural network algorithm model, and controlling the paving speed and the vibrating and ironing frequency of the paving machine according to the output change of the neural network algorithm model.
Further, a hidden layer can be included in the neural network algorithm model for detecting various faults. Respectively designing a neural network according to each fault, then training by using data of the fault to obtain a corresponding model, and then fusing all the models into the neural network by adding a hidden layer.
Although some terms are used more herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention. The order of execution of the operations, steps, and the like in the apparatuses and methods shown in the specification and drawings may be implemented in any order as long as the output of the preceding process is not used in the subsequent process, unless otherwise specified. The descriptions using "first", "next", etc. for convenience of description do not imply that they must be performed in this order.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (10)
1. The road paving device with the multi-information fusion comprises a road paver and is characterized by further comprising a controller, a temperature sensor, a humidity sensor and a wind speed sensor; the controller receives environmental information data monitored by the temperature sensor, the humidity sensor and the wind speed sensor, performs denoising, normalization and VSM formatting pretreatment on the environmental information data, converts the environmental information data into a data format suitable for data mining, processes the environmental information data by using the neural network algorithm model, and controls the paving speed and the vibrating ironing frequency of the paver according to output obtained by the neural network algorithm model.
2. The multi-information-fusion road paving device according to claim 1, further comprising a communication device and a monitoring center, wherein the controller and the monitoring center perform information interaction through the communication device.
3. The multi-information-fusion road paving device as recited in claim 2, wherein the communication device is a 4G mobile communication network.
4. The multi-message fusion paving apparatus of claim 1, wherein the controller is an STC89C52 single chip microcomputer chip.
5. The multi-information-fusion road paving device according to claim 1, further comprising an alarm module and a liquid crystal display module, wherein the controller displays the environmental information data in real time through the liquid crystal display module, and controls the alarm module to send out alarm information when a fault occurs.
6. The multi-information-fusion paving apparatus of claim 1, wherein the temperature sensor is a DSP100 road patrol temperature sensor.
7. The multi-information-fusion paving device of claim 1, wherein the moisture sensor is an HM1500LF moisture sensor.
8. The multi-information-fusion road paving apparatus of claim 1, wherein the wind speed sensor is a US200-28A wind speed sensor.
9. A pavement paving method with multi-information fusion is characterized in that:
firstly, selecting representative environmental information data as training sample data of a neural network algorithm model according to expert knowledge and practical experience;
secondly, inputting training sample data into the neural network algorithm model, and correcting the weight of each layer of the neural network algorithm model according to the result of the output layer of the neural network algorithm model by combining various kinds of expert knowledge, so as to obtain an optimized neural network algorithm model;
and thirdly, using the monitored real-time information data of the working environment of the paving machine as the input of the neural network algorithm model, and controlling the paving speed and the vibrating and ironing frequency of the paving machine according to the output change of the neural network algorithm model.
10. The method of claim 9, wherein a hidden layer is incorporated into the neural network algorithm model for detecting faults.
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| CN202010402300.8A CN111663411A (en) | 2020-05-13 | 2020-05-13 | Multi-information-fusion road paving device and method |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102191739A (en) * | 2010-03-18 | 2011-09-21 | 约瑟夫福格勒公司 | Method and system for applying a street pavement |
| CN104452546A (en) * | 2014-10-21 | 2015-03-25 | 广东惠利普路桥信息工程有限公司 | Control system for road surface paver |
| CN105019345A (en) * | 2015-07-21 | 2015-11-04 | 中山市拓维电子科技有限公司 | Road paving quality monitoring device |
| CN208815383U (en) * | 2018-08-29 | 2019-05-03 | 天津四方智控科技发展有限公司 | A kind of high road pavement construction Quality Remote Monitoring System |
-
2020
- 2020-05-13 CN CN202010402300.8A patent/CN111663411A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102191739A (en) * | 2010-03-18 | 2011-09-21 | 约瑟夫福格勒公司 | Method and system for applying a street pavement |
| CN104452546A (en) * | 2014-10-21 | 2015-03-25 | 广东惠利普路桥信息工程有限公司 | Control system for road surface paver |
| CN105019345A (en) * | 2015-07-21 | 2015-11-04 | 中山市拓维电子科技有限公司 | Road paving quality monitoring device |
| CN208815383U (en) * | 2018-08-29 | 2019-05-03 | 天津四方智控科技发展有限公司 | A kind of high road pavement construction Quality Remote Monitoring System |
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