CN114646348A - Monitoring device and method for evaluating working environment of crawler cabin - Google Patents
Monitoring device and method for evaluating working environment of crawler cabin Download PDFInfo
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- CN114646348A CN114646348A CN202210277753.1A CN202210277753A CN114646348A CN 114646348 A CN114646348 A CN 114646348A CN 202210277753 A CN202210277753 A CN 202210277753A CN 114646348 A CN114646348 A CN 114646348A
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims description 16
- 230000007613 environmental effect Effects 0.000 claims abstract description 45
- 238000011156 evaluation Methods 0.000 claims abstract description 32
- 238000012360 testing method Methods 0.000 claims abstract description 14
- 238000013210 evaluation model Methods 0.000 claims description 13
- 238000012549 training Methods 0.000 claims description 11
- 238000004140 cleaning Methods 0.000 claims description 6
- 239000004576 sand Substances 0.000 claims description 6
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 4
- 230000003750 conditioning effect Effects 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 239000007789 gas Substances 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000005670 electromagnetic radiation Effects 0.000 description 1
- 230000002195 synergetic effect Effects 0.000 description 1
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- 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
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Abstract
The invention provides a monitoring device for evaluating the working environment of a cabin of a crawler, which comprises a data acquisition module, a lower computer and an upper computer which are sequentially connected, wherein the data acquisition module comprises a sensor and an acquisition adjustment module and is used for uploading acquired environmental data to the lower computer; the lower computer is used for acquiring the environmental data acquired by the data acquisition module and uploading the environmental data to the upper computer. The invention monitors the environment of the crawler cabin in real time, and once the working environment in the crawler cabin is found to be unsuitable for continuous operation, an alarm is sent out to remind an operator to take measures; the data under the test condition that monitoring device gathered combines professional evaluation engineer to be used for the evaluation of tracked vehicle cabin operation environment to the grade of tracked vehicle cabin environment of test condition, guides to improve tracked vehicle product quality.
Description
Technical Field
The invention relates to a monitoring device and a monitoring method for evaluating working environment of a compartment of a crawler, belonging to the technical field of measuring and evaluating the working environment.
Background
The caterpillar cabin is a typical closed cabin, the space of the caterpillar cabin is closed and narrow, the air circulation is poor, and the running environment is complex and changeable, so that under the operation condition, various harmful factors can be generated, such as a large amount of harmful gas, dust, noise, vibration, electromagnetic radiation and the like, and the operation capacity of operators can be influenced by the harmful factors individually or in a synergistic manner.
The monitoring device monitors the working environment in the compartment of the tracked vehicle, and once the working environment in the compartment of the tracked vehicle is found to be unsuitable for continuous operation, an alarm is sent to remind an operator to take measures, so that the evaluation on the environment of the compartment of the tracked vehicle can be used for checking the product quality to guide the improvement of the product quality.
In the prior art, the air in the cabin environment is only monitored, factors such as noise and vibration are not considered, and a comprehensive evaluation model for the working environment is lacked.
Disclosure of Invention
In order to solve the technical problems, the invention provides a monitoring device and a monitoring method for evaluating the working environment of a crawler cabin.
The invention is realized by the following technical scheme.
The invention provides a monitoring device for evaluating the working environment of a cabin of a crawler, which comprises a data acquisition module, a lower computer and an upper computer which are sequentially connected, wherein the data acquisition module comprises a sensor and an acquisition adjustment module and is used for uploading acquired environmental data to the lower computer; the lower computer is used for acquiring the environmental data acquired by the data acquisition module and uploading the environmental data to the upper computer; the upper computer is used for receiving and displaying the environmental data transmitted by the lower computer in real time, storing the environmental data, and is internally provided with a safety auxiliary module for giving an alarm when the environmental data is no longer suitable for continuous operation.
The acquisition adjusting module comprises an A/D converter and a signal conditioning circuit.
The sensors include a temperature sensor, a speed sensor, a sound sensor, and a gas concentration sensor.
The environmental data includes temperature, triaxial acceleration, noise, carbon monoxide concentration, and oxygen concentration.
The upper computer stores data in a TDMS file format.
And the lower computer uploads the environment data to the upper computer through RS232 serial communication.
The method for evaluating the working environment of the crawler cabin comprises the following steps:
extracting environmental data under various experimental working conditions by using the characteristics of the environmental data under different experimental working conditions and adopting a sliding window method;
cleaning the extracted environmental data, building an environmental data database, and building a data training set;
thirdly, establishing a relation between an evaluation engineer knowledge base and a data training set by utilizing a C4.5 algorithm in the field of machine learning, and acquiring an evaluation model of the working environment of the compartment of the tracked vehicle;
and fourthly, obtaining an evaluation result of the working environment of the compartment of the tracked vehicle according to the evaluation model and the data obtained by the test.
And the data obtained by the test is the working environment data in the cabin of the tracked vehicle measured under the specific experimental working condition in the step I.
The experimental working conditions comprise: when the robot runs on a sand road in a straight line at 10km/h, 30km/h and 50km/h respectively and runs on the sand road at 10km/h, the robot transmits the environmental data of 2 shells, 5 shells and 8 shells per minute.
The data training set is divided into objective environment data obtained through measurement and scores of a professional evaluation engineer on the working environment in the crawler cabin by combining the objective data and subjective feeling;
the method for cleaning the data comprises the following steps: rejecting abnormal points, interpolating missing values, and filtering data with noise;
the evaluation result is a value between 0 and 100.
The invention has the beneficial effects that: monitoring the environment of the compartment of the tracked vehicle in real time, and sending an alarm to remind an operator to take measures once the working environment in the compartment of the tracked vehicle is found to be unsuitable for continuous operation; the data under the test condition that monitoring device gathered combines professional evaluation engineer to be used for the evaluation of tracked vehicle cabin operation environment to the grade of tracked vehicle cabin environment of test condition, guides to improve tracked vehicle product quality.
Drawings
FIG. 1 is a connection diagram of a monitoring device of the present invention;
FIG. 2 is a flow chart of the evaluation method of the present invention.
Detailed Description
The technical solution of the present invention is further described below, but the scope of the claimed invention is not limited to the described.
Example 1
As shown in fig. 2, the present invention obtains corresponding environmental data for evaluation by a sensor installed in a cabin of a crawler, specifically:
s1, extracting data under each experimental condition by a sliding window method according to the characteristics of environmental data under different experimental conditions;
s2, cleaning the extracted environmental data to obtain an environmental data database, and establishing a data training set;
s3, establishing a relation between an evaluation engineer knowledge base and a data training set by utilizing a C4.5 algorithm in the field of machine learning to obtain an evaluation model of the working environment of the crawler cabin;
and S4, acquiring the evaluation result of the working environment of the compartment of the crawler according to the crawler evaluation model and the data obtained by the test.
The input of the evaluation model is the environment data of the caterpillar cabin, and the output is the evaluation result.
And the data obtained by the test is the working environment data in the cabin of the crawler measured under the specific experimental working condition in the S1.
Wherein the evaluation result is a value between 0 and 100.
Furthermore, the upper computer is used for receiving cabin internal environment data uploaded by the lower computer under different crawler vehicle specific working conditions in the test, displaying an environment data time domain image in real time, and storing the obtained data in a magnetic disk after the test is finished.
The environment data time domain image comprises a temperature-time image, a triaxial acceleration-time image, a noise-time image, a carbon monoxide concentration-time image and an oxygen concentration-time image.
Specifically, the environment data are obtained by using the sensor and uploaded to the lower computer, and then the environment data are uploaded to the upper computer by the lower computer, so that the upper computer obtains the environment data obtained by testing, and the tested environment data are used as the input of the working environment evaluation model, so that the evaluation result of the working environment of the compartment of the tracked vehicle is obtained.
Furthermore, the lower computer monitors the environmental data in the crawler cabin all the time, when the current working environment is detected to be unsuitable for continuous operation, the environmental data are fed back to the upper computer, and the upper computer can remind operating personnel to take relevant measures.
Preferably, the experimental conditions comprise: when the robot runs on a sand road in a straight line at 10km/h, 30km/h and 50km/h respectively and runs on the sand road at 10km/h, the robot transmits the environmental data of 2 shells, 5 shells and 8 shells per minute.
Preferably, the environmental data comprises: temperature, triaxial acceleration, noise, oxygen concentration, and carbon monoxide concentration.
Specifically, the data training set consists of two parts, wherein one part is objective environment data obtained through measurement, and the other part is the grade of a working environment in a cabin of the crawler according to combination of objective data and subjective feeling of a professional evaluation engineer.
Further, the method for cleaning the data comprises the steps of removing abnormal points, interpolating missing values and filtering the data with noise.
Example 2
As shown in fig. 1, the monitoring apparatus of the present invention includes:
the upper computer is used for receiving and displaying environmental data in the crawler cabin from the lower computer in real time and storing the data;
the lower computer is used for acquiring the environmental data in the compartment of the tracked vehicle acquired by the data acquisition module and uploading the environmental data to the upper computer;
the data acquisition module comprises a sensor and an acquisition adjustment module and is used for acquiring environmental data in the cabin of the tracked vehicle and transmitting the environmental data to the lower computer;
the safety auxiliary module is arranged in the upper computer and used for giving an alarm when the environmental data is no longer suitable for continuous operation so as to remind an operator to take relevant measures, thereby ensuring the operation capability of the operator;
the acquisition adjusting module comprises an A/D converter and a signal conditioning circuit, wherein the signal conditioning circuit amplifies, filters and linearly compensates the signals from the sensor and converts the signals into analog signals which can be received by the A/D converter.
As shown in fig. 2, the evaluation method of the present invention includes:
firstly, a training data set is obtained from environmental data acquired by a monitoring device and evaluation scores of a professional evaluation engineer on the working environment of a compartment of the tracked vehicle under the environment;
c4.5 model training, dividing nodes through information gain rate, and obtaining a corresponding relation between environmental data and scores, namely an evaluation model;
and thirdly, the test data set is used as the input of the evaluation model from the environmental data collected by the monitoring device, so that the evaluation model outputs the evaluation result.
In conclusion, the invention can monitor the operation environment of the cabin of the crawler, when the operation environment is no longer suitable for operation, an alarm can be given to remind an operator to take measures to guarantee the operation capability of the operator, and meanwhile, an evaluation model of the operation environment of the cabin of the crawler is established by utilizing the data acquired by the monitoring device to evaluate the product quality of the crawler so as to guide the improvement of the product.
Claims (10)
1. A monitoring device for crawler cabin working environment evaluation, characterized by: the system comprises a data acquisition module, a lower computer and an upper computer which are sequentially connected, wherein the data acquisition module comprises a sensor and an acquisition adjustment module and is used for uploading acquired environmental data to the lower computer; the lower computer is used for acquiring the environmental data acquired by the data acquisition module and uploading the environmental data to the upper computer; the upper computer is used for receiving and displaying the environmental data transmitted by the lower computer in real time, storing the environmental data, and is internally provided with a safety auxiliary module for giving an alarm when the environmental data is no longer suitable for continuous operation.
2. The monitoring device for crawler cabin working environment evaluation of claim 1, wherein: the acquisition adjusting module comprises an A/D converter and a signal conditioning circuit.
3. The monitoring device for crawler cabin working environment evaluation of claim 1, wherein: the sensors include a temperature sensor, a speed sensor, a sound sensor, and a gas concentration sensor.
4. The monitoring device for crawler cabin working environment evaluation of claim 1, wherein: the environmental data includes temperature, triaxial acceleration, noise, carbon monoxide concentration, and oxygen concentration.
5. The monitoring device for crawler cabin working environment evaluation of claim 1, wherein: the upper computer stores data in a TDMS file format.
6. The monitoring device for crawler cabin working environment evaluation of claim 1, wherein: and the lower computer uploads the environmental data to the upper computer through RS232 serial communication.
7. A method for crawler cabin operating environment evaluation, characterized by: the method comprises the following steps:
extracting environmental data under various experimental working conditions by using the characteristics of the environmental data under different experimental working conditions and adopting a sliding window method;
cleaning the extracted environmental data, building an environmental data database, and building a data training set;
thirdly, establishing a relation between an evaluation engineer knowledge base and a data training set by utilizing a C4.5 algorithm in the field of machine learning, and acquiring an evaluation model of the working environment of the compartment of the tracked vehicle;
and fourthly, obtaining an evaluation result of the working environment of the compartment of the tracked vehicle according to the evaluation model and the data obtained by the test.
8. The method for crawler cabin operating environment assessment according to claim 7, wherein: and the data obtained by the test is the working environment data in the crawler cabin measured under the specific experimental working condition in the step I.
9. The method for crawler cabin operating environment assessment according to claim 7, wherein: the experimental working conditions comprise: when the robot runs on a sand road in a straight line at 10km/h, 30km/h and 50km/h respectively and runs on the sand road at 10km/h, the robot transmits the environmental data of 2 shells, 5 shells and 8 shells per minute.
10. The method for crawler cabin operating environment assessment according to claim 7, wherein: the data training set is divided into objective environment data obtained through measurement and scores of a professional evaluation engineer on the working environment in the crawler cabin by combining objective data and subjective feeling;
the method for cleaning the data comprises the following steps: rejecting abnormal points, interpolating missing values, and filtering data with noise;
the evaluation result is a value between 0 and 100.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210277753.1A CN114646348A (en) | 2022-03-21 | 2022-03-21 | Monitoring device and method for evaluating working environment of crawler cabin |
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| CN202210277753.1A CN114646348A (en) | 2022-03-21 | 2022-03-21 | Monitoring device and method for evaluating working environment of crawler cabin |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580311A (en) * | 2013-10-22 | 2015-04-29 | 北京东方长通电子技术有限公司 | Internet of Things system for monitoring and controlling indoor environment or in-vehicle environment and monitoring and controlling method of Internet of Things system |
| CN105741473A (en) * | 2016-04-28 | 2016-07-06 | 江苏科技大学 | Compartment environment monitoring, fire alarm early-warning and escape indicating system, and operation method thereof |
| CN206223233U (en) * | 2016-12-01 | 2017-06-06 | 天津大学 | A kind of experimental system for simulating for large-scale cabin environment Comfort Evaluation |
| CN208689732U (en) * | 2018-08-16 | 2019-04-02 | 南通中远船务自动化有限公司 | A kind of oil tanker clears the ship the intelligent wireless monitoring and warning system of operating environment |
| CN110009245A (en) * | 2019-04-12 | 2019-07-12 | 阳江职业技术学院 | Indoor air quality prediction technique, device and electronic equipment neural network based |
| CN111259481A (en) * | 2020-01-21 | 2020-06-09 | 哈尔滨工业大学 | Building indoor luminous environment design evaluation method and device integrating spatial information |
-
2022
- 2022-03-21 CN CN202210277753.1A patent/CN114646348A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580311A (en) * | 2013-10-22 | 2015-04-29 | 北京东方长通电子技术有限公司 | Internet of Things system for monitoring and controlling indoor environment or in-vehicle environment and monitoring and controlling method of Internet of Things system |
| CN105741473A (en) * | 2016-04-28 | 2016-07-06 | 江苏科技大学 | Compartment environment monitoring, fire alarm early-warning and escape indicating system, and operation method thereof |
| CN206223233U (en) * | 2016-12-01 | 2017-06-06 | 天津大学 | A kind of experimental system for simulating for large-scale cabin environment Comfort Evaluation |
| CN208689732U (en) * | 2018-08-16 | 2019-04-02 | 南通中远船务自动化有限公司 | A kind of oil tanker clears the ship the intelligent wireless monitoring and warning system of operating environment |
| CN110009245A (en) * | 2019-04-12 | 2019-07-12 | 阳江职业技术学院 | Indoor air quality prediction technique, device and electronic equipment neural network based |
| CN111259481A (en) * | 2020-01-21 | 2020-06-09 | 哈尔滨工业大学 | Building indoor luminous environment design evaluation method and device integrating spatial information |
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