Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of urban road cleaning device of the present embodiment, including navigation system 1, drive system 2, cleaning system
System 3, control system 4;
The navigation system 1 is used to determine real time position, Forecasting of Travel Time result and the optimal path of cleaning device;
The drive system 2 connects the navigation system 1, for pre- according to the real time position of cleaning device, journey time
Survey result and optimal path control cleaning device movement;
The region that the purging system 3 is used to pass through cleaning device carries out automatic cleaning;
The control system 4 connects the navigation system 1, automatically clear in cleaning device for passing through setting movement speed
Cleaning device is controlled in the case of sweeping to run with stabilized speed;
The purging system 3 includes: cleaning brush, is cleaned for road pavement;Hydraulic motor, for driving the cleaning
Brush carries out cleaning work.
A kind of urban road cleaning device is present embodiments provided, cleaning of the cleaning device to urban road is realized.
Preferably, the navigation system 1 includes first processing module, Second processing module, third processing module, and described the
One processing module is used to determine the exact position of cleaning device, the Second processing module be used for cleaning device journey time into
Row prediction, the third processing module is for determining that cleaning device travels optimal path;The first processing module includes first
It handles submodule, second processing submodule and third and handles submodule, the first processing submodule is determined by pseudorange to be cleaned
The initial position of device, for determining that pseudorange calculates error, the third processing submodule is based on the second processing submodule
Cleaning device initial position and pseudorange measuring and calculating error determine the exact position of cleaning device;
The first processing submodule determines the rough location of cleaning device by pseudorange, in the following ways: Jiang Yitai
GPS receiver is mounted on cleaning device, and cleaning device initial position is determined by following formula:In above-mentioned formula, (x, y, z) indicates cleaning device just step
It sets, (xi, yi, zi) indicate that i-th of satellite position, c indicate the light velocity, tiIndicate the clock deviation amendment of i-th of satellite, t indicates receiver
Clock deviation, RXiPseudorange of the expression cleaning device to i-th of satellite, i=1,2,3,4;
The second processing submodule is for determining that pseudorange calculates error, in the following ways: two GPS receiver are pacified
Mounted in two base stations A and B, it is known that the physical location of two base stations is respectively (X1, Y1, Z1)、(X2, Y2, Z2), according to pseudorange
The position for two base stations that measure formula determines is respectively (X3, Y3, Z3)、(X4, Y4, Z4), determine that pseudorange is calculated by following formula
Error:In above-mentioned formula, GT1Indicate that pseudorange calculates error;
The third processing submodule determines the essence of cleaning device based on cleaning device initial position and pseudorange measuring and calculating error
True position, in the following ways: the exact position (x of cleaning device0, y0, z0) determined by following formula: (x0, y0, z0)=GT1+
(x, y, z);
This preferred embodiment first processing module determines pseudo range measurement error by the way that two base stations are arranged, and improves cleaning
Device positioning accuracy is laid a good foundation for the navigation of subsequent cleaning device;
Preferably, the Second processing module includes forming time prediction module and prediction result evaluation module, the shape
At time prediction module for obtaining cleaning device Forecasting of Travel Time as a result, the prediction result evaluation module is used for prediction
As a result it is evaluated;The formation time prediction module is for obtaining cleaning device Forecasting of Travel Time as a result, using with lower section
Formula hypothesis has identical journey time in the identical period with each section in one day of identical historical trend, to sanitizer cartridge
The journey time set is carried out prediction and is carried out using following formula:On
It states in formula, ADi,m(n) indicate section i in the Forecasting of Travel Time value that time interval is m, ADi,m(o) indicate section i in the time
Between be divided into the history journey time numerical value of m, AD 'i,mIndicate section i in the nearest journey time numerical value that time interval is m, ρ table
Show smoothing factor, ρ ∈ (0,1);
The prediction result evaluation module is for evaluating prediction result, in the following ways: being calculate by the following formula
The accuracy factor of Forecasting of Travel Time result:In above-mentioned formula, DT indicates Forecasting of Travel Time knot
The accuracy factor of fruit, y1Indicate Forecasting of Travel Time value, y2Indicate journey time measured value;The Forecasting of Travel Time result
The accuracy factor it is bigger, indicate Forecasting of Travel Time it is more accurate;
This preferred embodiment Second processing module predicts journey time by history journey time, realizes stroke
The prediction and assessment of time, ensure that the accuracy of prediction, lay a good foundation for the navigation of subsequent cleaning device.
Preferably, the third processing module includes that modeling submodule and path submodule, the modeling submodule are used for
Traffic network model is established, the path submodule is based on traffic network model and chooses optimal path;
The modeling submodule is for establishing traffic network model, in the following ways: non-directed graph indicates traffic network,
In, node indicates the crossing in road network, and the side between node indicates the section in road network, determines the weight of every road in road network
In the following ways:
Firstly, calculating the section factor in each section:In above-mentioned formula,
MHiIndicate the section factor in i-th of section, a1Indicate that the maximum cleaning device of section unit time passes through number, a2Indicate section one
The number of traffic accident, a occur in year3Indicate pavement behavior quantized value, a3=3, road surface is pitch, a3=2, road surface is cement,
a3=1, road surface is soil property, a4Indicate section billing unit mileage charge;
Then, corresponding weight is determined according to the section factor in each section:Above-mentioned formula
In, RUiIndicate the weight in i-th of section, fiIndicate the length in i-th of section, n indicates the quantity in section in road network;
The path submodule is based on traffic network model and chooses optimal path, in the following ways: choosing total weight most
Small section is as optimal path.
During this preferred embodiment third processing module determines section weight, the passage energy in section has been fully considered
Power, accident occurrence frequency, pavement behavior and charge situation, have obtained accurate section weight, ensure that the optimal selection in path.
It is cleaned using urban road cleaning device of the present invention, chooses 5 cities and tested, respectively city 1, city
City 2, city 3, city 4, city 5, count cleaning efficiency and cleaning cost, compare compared with cleaning vehicle, generation has
Beneficial effect is as shown in the table:
|
Cleaning efficiency improves |
Cleaning cost reduces |
City 1 |
29% |
27% |
City 2 |
27% |
26% |
City 3 |
26% |
26% |
City 4 |
25% |
24% |
City 5 |
24% |
22% |
Through the above description of the embodiments, those skilled in the art can be understood that it should be appreciated that can
To realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardware
It realizes, processor can be realized in one or more the following units: specific integrated circuit (ASIC), digital signal processor
(DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processing
Device, controller, microcontroller, microprocessor, other electronic units designed for realizing functions described herein or combinations thereof.
For software implementations, some or all of embodiment process can instruct relevant hardware to complete by computer program.
When realization, above procedure can be stored in computer-readable medium or as the one or more on computer-readable medium
Instruction or code are transmitted.Computer-readable medium includes computer storage media and communication media, wherein communication media packet
It includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be computer can
Any usable medium of access.Computer-readable medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other
Optical disc storage, magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or store have instruction or data
The desired program code of structure type simultaneously can be by any other medium of computer access.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.