CN108545013A - A method of based on sensor deformation calculation vehicle load and handling goods event - Google Patents
A method of based on sensor deformation calculation vehicle load and handling goods event Download PDFInfo
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- CN108545013A CN108545013A CN201810308756.0A CN201810308756A CN108545013A CN 108545013 A CN108545013 A CN 108545013A CN 201810308756 A CN201810308756 A CN 201810308756A CN 108545013 A CN108545013 A CN 108545013A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
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Abstract
The method based on sensor deformation calculation vehicle load and handling goods event that the invention discloses a kind of, pass through the sensor on the steel spring plate of truck spandrel girder, collect car speed, steel spring plate deformation, GPS location data, the load-carrying that processing identifies vehicle is carried out by G7 big data platforms, handling goods event is then identified by the mutation analysis to vehicle load；The present invention can quick and precisely identify that handling goods event is recognized accurately in vehicle load and the variation by load-carrying, reduce manual intervention, reduce transportation cost；The present invention can help bulk supply tariff transport to provide cargo monitoring, and whether cargo, which accurately transports, is formulated place.
Description
Technical field
The present invention relates to logistics and transportation technical fields, specially a kind of to be based on sensor deformation calculation vehicle load and handling
The method of goods event.
Background technology
Bulk supply tariff carrier (such as cement) at present is protected without a kind of method of real-time identification transport goods weight
Cargo accurate transport is demonstrate,proved to appointed place, accurately identification handling goods event, is all based on and is manually claimed on the transport route
Weight, monitoring is difficult, expends a large amount of manpower and materials.This patent designs a set of real-time, standard by using the big data computing platform of G7
The method for really identifying vehicle load and loading and unloading goods event.
Invention content
The method based on sensor deformation calculation vehicle load and handling goods event that the purpose of the present invention is to provide a kind of,
To solve the problems mentioned in the above background technology.
To achieve the above object, the present invention provides the following technical solutions：One kind being based on sensor deformation calculation vehicle load
And the method for handling goods event, include the following steps：
A, data are collected：Data collection is carried out by the sensor on vehicle spring steel plate.The data master of collection
Including：Steel spring plate deformation values, car speed, GPS location etc..Data report once for every 30 seconds；
B, data cleansing：Data cleansing is substantially carried out data preparation, and in the whole process, system has used storm streamings
Handle frame, the data that receiving device reports；
C, load-carrying calculates：The calculating of load-carrying is calculated by the following formula：
Load=(ad-emptyAd) × factor
Wherein, load indicates load value；Ad indicates the sensor deformation values after passivation；EmptyAd is sensed when indicating unloaded
The deformation values of device；Factor indicates load factor, and load factor is loaded by being fully loaded with to different type vehicle, 1/4,1/2 dress
It carries, fully loaded big data is for statistical analysis to be obtained；
D, event recognition.
Preferably, the specific method is as follows for event recognition in the step D：
A, AD values are reported according to equipment, calculates smooth point, every 6 points, one window, the time each smoothly put takes window
The time of first interior point；
B, to do single order again according to the AD after smooth smooth, every 6 smooth one window of point, and calculates 6 points in the window
Trend line slope, time of each slope point is for first time smoothly put in window, and the calculating of slope passes through
Simple linear regression calculates；
C, slope is done smoothly, every 6 points, one window calculates G-bar；
D, G-bar>Loading slope threshold value, loading event start；
E, G-bar<Unloading slope threshold value, unloading event start；
F, G-bar absolute value<0.01 and there is event to start, then event terminates；
G, data are discontinuous, and time interval is more than 10 minutes and has event to start, and terminate have event.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention passes through the spring steel mounted on truck spandrel girder
Sensor on plate, collects car speed, steel spring plate deformation, and GPS location data carries out processing knowledge by G7 big data platforms
Do not go out the load-carrying of vehicle, handling goods event is then identified by the mutation analysis to vehicle load；The present invention can be quickly accurate
Really identification vehicle load and handling goods event is recognized accurately by the variation of load-carrying, reduces manual intervention, reduce transport at
This；The present invention can help bulk supply tariff transport to provide cargo monitoring, and whether cargo, which accurately transports, is formulated place.
Description of the drawings
Fig. 1 is inventive sensor deformation schematic diagram.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides the following technical solutions：A kind of side based on sensor deformation calculation vehicle load and handling goods event
Method includes the following steps：
A, data are collected：Data collection is carried out by the sensor on vehicle spring steel plate.The data master of collection
Including：Steel spring plate deformation values, car speed, GPS location etc..Data report once for every 30 seconds, and data format is as follows：
{"x00F5":"503","x00F4":"JT","speed":0,"imei":"107015090097672","lng":
118.978847,"x00F9":["0","255"],"x00F8":["0","0","0"],"acc":0,"x00F7":"0.0","
x00F6":"1.2.3.4","time":1514193373000,"x00FB":[37450],"x00FC":"17","x00FA":"
0","lat":30.78468}；
B, data cleansing：Data cleansing is substantially carried out data preparation, and in the whole process, system has used storm streamings
Handle frame, the data that receiving device reports；Mainly consider during cleaning data following aspects：
A, out of order situation is reported since network jitter is likely to occur data, in order to solve this abnormal conditions, is set in system
Buffering area is counted, when equipment reported data reaches 20, ability start to process can have effectively data is avoided to report unrest in this way
Sequence.If also having out of order data to report under buffering situation, directly these data are abandoned, it is abnormal to prevent from subsequently calculating,
In the case of having buffering, this data there's almost no.
B, it is calculated accurately really to reach load-gauge, system can take the mean value of multiple sensor to be calculated.
C, it is calculated to simplify, system will be passivated processing to raw sensor deformation values (AD), by repeatedly real
It tests and big data analysis, deactivation constant, which is set as 64, can obtain a metastable data, can be effective after passivated
The faint shake of some sensors is avoided, for example the original deformation values of sensor are 36789 and 36791, are just all become after being passivated
At 574.
D, certain error is had when sensor gathered data, in addition the shake of vehicle during exercise, the sensing after passivation
Device deformation values (AD) still have certain fluctuating error, by big data analysis, sensing when stationary vehicle after passivation
The variation range of device deformation values (AD) is generally 1 or so, and variation range is generally 2 when movement, passes through the limit to AD variation ranges
System, can effectively filter out the unusual fluctuations of AD values, smooth effect is as shown in Figure 1；
C, load-carrying calculates：The calculating of load-carrying is calculated by the following formula：
Load=(ad-emptyAd) × factor
Wherein, load indicates load value；Ad indicates the sensor deformation values after passivation；EmptyAd is sensed when indicating unloaded
The deformation values of device；Factor indicates load factor, and load factor is loaded by being fully loaded with to different type vehicle, 1/4,1/2 dress
It carries, fully loaded big data is for statistical analysis to be obtained；
D, event recognition.
In the present invention, the specific method is as follows for event recognition in step D：
A, AD values are reported according to equipment, calculates smooth point, every 6 points, one window, the time each smoothly put takes window
The time of first interior point；
B, to do single order again according to the AD after smooth smooth, every 6 smooth one window of point, and calculates 6 points in the window
Trend line slope, time of each slope point is for first time smoothly put in window, and the calculating of slope passes through
Simple linear regression calculates；
C, slope is done smoothly, every 6 points, one window calculates G-bar；
D, G-bar>Loading slope threshold value, loading event start；
E, G-bar<Unloading slope threshold value, unloading event start；
F, G-bar absolute value<0.01 and there is event to start, then event terminates；
G, data are discontinuous, and time interval is more than 10 minutes and has event to start, and terminate have event.
In conclusion the present invention collects car speed by the sensor on the steel spring plate of truck spandrel girder,
Steel spring plate deformation, GPS location data carry out the load-carrying that processing identifies vehicle, then by right by G7 big data platforms
The mutation analysis of vehicle load identifies handling goods event；The present invention can quick and precisely identify vehicle load and pass through load-carrying
Variation be recognized accurately handling goods event, reduce manual intervention, reduce transportation cost；The present invention can help bulk supply tariff to transport
Defeated offer cargo monitoring, whether cargo, which accurately transports, is formulated place.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (2)
1. a kind of method based on sensor deformation calculation vehicle load and handling goods event, it is characterised in that：Including following step
Suddenly：
A, data are collected：Data collection is carried out by the sensor on vehicle spring steel plate.The data of collection are mainly wrapped
It includes：Steel spring plate deformation values, car speed, GPS location etc..Data report once for every 30 seconds；
B, data cleansing：Data cleansing is substantially carried out data preparation, and in the whole process, system has used storm Stream Processings
Frame, the data that receiving device reports；
C, load-carrying calculates：The calculating of load-carrying is calculated by the following formula：
Load=(ad-emptyAd) × factor
Wherein, load indicates load value；Ad indicates the sensor deformation values after passivation；Sensor when emptyAd indicates unloaded
Deformation values；Factor indicates load factor, and load factor is loaded by being fully loaded with to different type vehicle, 1/4, and 1/2 loads, full
The big data of load is for statistical analysis to be obtained；
D, event recognition.
2. a kind of method based on sensor deformation calculation vehicle load and handling goods event according to claim 1,
It is characterized in that：The specific method is as follows for event recognition in the step D：
A, AD values are reported according to equipment, calculates smooth point, every 6 points, one window, the time each smoothly put takes in window
The time of first point；
B, to do single order again according to the AD after smooth smooth, every 6 smooth one window of point, and calculates in the window becoming for 6 points
The time of gesture line slope, each slope point is simple to pass through for the calculating of first time smoothly put in window, slope
Linear regression calculates；
C, slope is done smoothly, every 6 points, one window calculates G-bar；
D, G-bar>Loading slope threshold value, loading event start；
E, G-bar<Unloading slope threshold value, unloading event start；
F, G-bar absolute value<0.01 and there is event to start, then event terminates；
G, data are discontinuous, and time interval is more than 10 minutes and has event to start, and terminate have event.
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| CN201810308756.0A CN108545013A (en) | 2018-04-09 | 2018-04-09 | A method of based on sensor deformation calculation vehicle load and handling goods event |
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| CN201810308756.0A CN108545013A (en) | 2018-04-09 | 2018-04-09 | A method of based on sensor deformation calculation vehicle load and handling goods event |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109669427A (en) * | 2018-07-12 | 2019-04-23 | 北京图森未来科技有限公司 | Realize the system and relevant device of automatic transport of goods |
| CN110095175A (en) * | 2019-05-08 | 2019-08-06 | 北京汇通天下物联科技有限公司 | Load-Carrying Equipment parameter calibrating method, apparatus and system |
| CN110160615A (en) * | 2019-05-16 | 2019-08-23 | 吉旗物联科技（上海）有限公司 | Vehicle-mounted weighing method, apparatus and system |
| CN110223027A (en) * | 2019-06-20 | 2019-09-10 | 吉旗物联科技（上海）有限公司 | Cargo handling point identification parameter feature design method and device |
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| CN103076074A (en) * | 2013-01-10 | 2013-05-01 | 陕西电器研究所 | Vehicle-mounted weighing module |
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| US6150617A (en) * | 1995-09-09 | 2000-11-21 | Agco Limited | Vehicle with weight sensing |
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| JP2007163157A (en) * | 2005-12-09 | 2007-06-28 | Sumitomo Rubber Ind Ltd | Method, apparatus, and program for estimating vehicle load |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109669427A (en) * | 2018-07-12 | 2019-04-23 | 北京图森未来科技有限公司 | Realize the system and relevant device of automatic transport of goods |
| CN110095175A (en) * | 2019-05-08 | 2019-08-06 | 北京汇通天下物联科技有限公司 | Load-Carrying Equipment parameter calibrating method, apparatus and system |
| CN110160615A (en) * | 2019-05-16 | 2019-08-23 | 吉旗物联科技（上海）有限公司 | Vehicle-mounted weighing method, apparatus and system |
| CN110223027A (en) * | 2019-06-20 | 2019-09-10 | 吉旗物联科技（上海）有限公司 | Cargo handling point identification parameter feature design method and device |
| CN110223027B (en) * | 2019-06-20 | 2022-04-01 | 吉旗物联科技（上海）有限公司 | Method and device for designing characteristic of identification parameter of cargo loading and unloading point |
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