CN107633339A - Performance evaluation system and method - Google Patents
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- CN107633339A CN107633339A CN201710176941.4A CN201710176941A CN107633339A CN 107633339 A CN107633339 A CN 107633339A CN 201710176941 A CN201710176941 A CN 201710176941A CN 107633339 A CN107633339 A CN 107633339A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention relates to a performance evaluation system and a performance evaluation method, which mainly receive vehicle equipment information of the vehicle equipment information from a plurality of vehicle equipment through a data analysis server device, wherein the vehicle equipment information comprises information such as energy consumption or danger factors, and then calculate the performance represented by the driving behavior of a driver through a performance evaluation algorithm, so that the performance of all the drivers can be ranked.
Description
Technical field
The present invention is related to a kind of performance assessment system and method, particularly a kind of to collect plural vehicle arrangement and user
The energy resource consumption information of equipment or risk factor etc., and consider to understand influence of the various driving behaviors to performance.
Background technology
Fuel material cost is a kind of one of major cost factor, it is necessary to be paid close attention to, separately for road haulage industry
Outside, on carrying trade driver violation driving behavior, not only have influence on the reputation of company, also there is suitable shadow to operation
Ring, in view of this, if a kind of energy resource consumption and driving violation row that will appreciate that carrying trade and correspond to different drivers can be developed
For etc. performance technology, can effectively correspond to this problem.
In prior art, though there are the vehicle class using historical data, oil meter voltage, road speed to obtain and correction oil
The technology of value, also have using detecting battery voltage and to calculate the technology of vehicle oil consumption, or the feedback of diagnosis fuel tank
Technology of oil mass data etc.；However, it each all lacks effective feedback method, or the wagon flow shape of road network can not be passed through
Condition, driver's difference etc. factor carry out the fuel material cost needed for Synthesize estimation carrying trade, aobvious respectively to have its missing, still wait to be changed
It is good.
In prior art, have and note down unit, target analysis requirement unit etc. through the work included in multiple running gears,
Compared to upload the working condition of employee to cloud server, then with target, to analyze the system of target completed percentage
With method, though however, such a technology can evaluation work completed percentage, and understand employee between business relationship, nothing
Method compares the performance differences between employee, or finds out the employee of violation to company manager, it is clear that also has its missing, still waits to be subject to
Improvement.
And the present invention multiple vehicle arrangements of transmission and user's equipment collection energy resource consumption information and violation information, and according to
The various driving behaviors of various factors comprehensive statistics and performance is ranked up, is a kind of extremely effective performance estimation technique.
The content of the invention
Carried to solve various factors when prior art can not consider driving to driving the influence of performance, the present invention
For a kind of performance assessment system, including at least multiple vehicle arrangements, a data analytics server equipment and a database facility.
Wherein, respectively vehicle arrangement of the invention can transmit vehicle arrangement information to the data analytics server equipment, should
Analysis server apparatus then can be by the data storage transmitted to the database facility, then by data analytics server equipment
The driving performance of the respectively vehicle arrangement is calculated, and is ranked.
Wherein, respectively the vehicle arrangement each comprises at least and has driver's identification device, a locating module, among one
Part module and a communication module；
Wherein, the communication module can support wireless network transmissions, to establish the respectively vehicle arrangement and the data analysis service
Communication between device equipment.
And the locating module supports global positioning system (Global Positioning System, GPS) or wireless network
The localization methods such as signal positioning, make respectively the vehicle arrangement can obtain positional information and speed information through thus module.
The middleware module can support HTTP (HyperText Transfer Protocol, HTTP),
Or message sequence remote measurement transmission (Message Queuing Telemetry Transport, MQTT) or limited applications agreement
Host-host protocol wherein at least one such as (Constrained Application Protocol, CoAP), makes the respectively vehicle arrangement
It can be interfaced with again via the communication module and the data analytics server equipment via the respective middleware module, to transmit vehicle
Facility information is to the data analytics server equipment.
And driver's identification documents can be read to obtain driver's numbering in driver's identification device.
So far, respectively the vehicle arrangement contains car via the vehicle arrangement packet of the middleware module and communication module transmission
Numbering, vehicle model, driver's numbering, temporal information, positional information, speed information etc..
Respectively the vehicle arrangement is each more selectively included an energy arrangement for detecting, and the energy arrangement for detecting can detect this
The energy expenditure information of vehicle arrangement, energy expenditure information can be oil mass information, information about power or the natural gas information of consumption
Deng energy expenditure information, which is also contained in vehicle arrangement information, is transferred to the data analytics server equipment.
Respectively the vehicle arrangement is each more selectively included an azimuth sensor, and the azimuth sensor is to detect
Survey respectively that the vehicle arrangement is in the azimuth information of traveling, azimuth information is judging excess speed event, anxious accelerated events, anxious brake
The event information such as event or zig zag event, and event information will be contained in vehicle arrangement information and be transferred to the data
Analysis server equipment.
Respectively the vehicle arrangement is each more selectively included a concentration detection equipment, and the concentration detection equipment is to wear
The E.E.G detection equipment of load formula, to screw in driving on the number of people to detect the E.E.G of the driver, to obtain absorbed force information,
Force information is absorbed in judge the event information such as refreshing event all of a sudden, and event information will be contained in vehicle arrangement information and be transmitted
To the data analytics server equipment.
Respectively the vehicle arrangement is each more selectively included a leading vehicle distance detection equipment and lane shift detecting is set
It is standby, leading vehicle distance detection equipment detecting respectively the vehicle arrangement when traveling the leading vehicle distance information between front vehicles, and be somebody's turn to do
Lane shift detection equipment detects the offset lanes information that the respectively vehicle arrangement does not beat indicator when traveling, leading vehicle distance information
With offset lanes information respectively to judge not keep the event information such as safe distance event or lane shift event, and event is believed
Breath, which will be contained in vehicle arrangement information, is transferred to the data analytics server equipment.
Respectively the vehicle arrangement is each more selectively included an on-board diagnostic system and a temperature sensor, is examined on the car
Disconnected systems scan respectively the vehicle arrangement set vehicle car status information, and the temperature sensor detecting respectively the vehicle arrangement set
The temperature information of the refrigerator of vehicle is put, car status information and temperature information, which will be contained in vehicle arrangement information, to be passed
Transport to the data analytics server equipment.
So far, respectively the vehicle arrangement contains car via the vehicle arrangement packet of the middleware module and communication module transmission
Numbering, vehicle model, driver's numbering, temporal information, positional information, speed information, energy expenditure information, event information,
Car status information and temperature information etc., wherein, event information can be excess speed event, anxious accelerated events, anxious brake event,
Zig zag event, all of a sudden refreshing event, safe distance event or lane shift event etc. are not kept.
Wherein, the database facility of the invention can store a shift report tables of data, and the shift report tables of data is to note down respectively
The site information of the vehicle arrangement sending and receiving goods and predetermined temporal information of arriving at a station, when the data analytics server equipment receives car
, can be different to produce closing of the door according to the car status information in the vehicle arrangement information and temperature information after facility information
Ordinary affair part, temperature anomaly event, precooling deficiency event or arrival time anomalous event etc., site information can be latitude and longitude coordinates
Deng.
And the data analytics server equipment of the present invention receives the vehicle arrangement information from the respectively vehicle arrangement, pass through
One performance evaluation algorithm calculates performance when driver drives, more can the performance of driver be ranked up.
Wherein, the performance evaluation algorithm that the data analytics server equipment performs, that is, the performance evaluation of the present invention is corresponded to
The step of method, it comprises at least following steps：
1. collecting and analyzing the respectively vehicle arrangement information, vehicle arrangement is returned by the respectively vehicle arrangement being arranged on vehicle
Information is to the data analytics server equipment, by each vehicle arrangement in one period of data analytics server device analysis section
Vehicle arrangement information, and by vehicle arrangement information storage a to database facility；
2. selecting an at least characteristic element, vehicle arrangement number, vehicle model are obtained from vehicle arrangement information and is driven
Sail and select at least one characteristic element to carry out performance evaluation in the characteristic elements such as people；
3. construction hierarchical structure, upper strata and the lower floor's association knot of each this feature key element are set according to each this feature key element of selection
Structure；
4. performing a pairwise comparison matrix produces algorithm, paired to produce one according to each this feature key element of each hierarchical arrangement
Comparator matrix；
5. eigen vector is calculated, with a characteristic vector of characteristic element in each level of numerical analysis
Matrix；
6. selecting solution, multiple solutions are produced according to this feature vector matrix of each this feature key element in each level
After the fraction of scheme, then filter out a best solution.
And in the Performance evaluation of the present invention, pairwise comparison matrix generation algorithm can pass through following several ways and reach
Into：
1. the numerical value of each this feature key element of statistics each hierarchical structure setting, and in contrast with producing according to the ratio of numerical value
Compared with matrix.
2. the numerical value of each this feature key element of each hierarchical structure setting is calculated with distance function or similarity function, and
Pairwise comparison matrix is produced according to numerical value.
3. it is to calculate respectively should for each hierarchical structure setting with fuzzy ownership function that the pairwise comparison matrix, which produces algorithm,
The numerical value of characteristic element, and produce pairwise comparison matrix according to numerical value.
In addition, in the selection solution step of the data analytics server equipment, in the fraction of the respectively solution
After generation, the best solution will be filtered out according to the respectively solution mid-score the best, or with decision tree letter
Profit method is ceased to filter out the best solution.
And in the Performance evaluation of the present invention, when selecting each this feature key element, it can more select the respectively vehicle and set
Standby energy expenditure information, so that the best solution assesses energy-saving driving performance；Or the selected respectively vehicle arrangement is super
Fast event, anxious accelerated events, anxious brake event, zig zag event, all of a sudden refreshing event, do not keep safe distance event or lane shift
The event informations such as event, so that the best solution assesses dangerous driving performance；Or the car door of the selected respectively vehicle arrangement
The event informations such as anomalous event, temperature anomaly event, precooling deficiency event or arrival time anomalous event are closed, so that this is optimal
Solution assesses logistics scholar's performance.
And the performance assessment system and method and other located by prior art of the present invention be when being compared to each other, more for following advantages：
1. returning the information and information of vehicles of driver by vehicle arrangement, then calculated and driven by data analytics server equipment
The performance and ranking of people, it can automatically produce performance evaluation result.
2. Performance evaluation proposed by the present invention, pairwise comparison matrix is produced with reference to fuzzy ownership function, can be strengthened
Variance analysis between data simultaneously avoids infinitely great or insignificant numerical value.
3. Performance evaluation proposed by the present invention, relatively square is produced in pairs with reference to distance function or similarity function
Battle array, the maximum data of diversity factor can be found out.
4. Performance evaluation proposed by the present invention can be applied to the purposes of energy resource consumption estimation, to consider different driving
The energy quantity that people, different vehicle equipment and different driving behaviors are consumed, and choose the minimum solution party of energy resource consumption
Case, there is provided referred to company manager.
5. Performance evaluation proposed by the present invention can be applied to the purposes of dangerous driving assessment, it is contemplated that difference drives
People, different vehicle equipment and degree of risk caused by different driving behaviors, and choose the minimum solution party of degree of risk
Case, there is provided referred to company manager.
6. Performance evaluation proposed by the present invention can be applied to the purposes of logistics scholar assessment, it is contemplated that different drivers,
Violation degree caused by different vehicle equipment and different driving behaviors, and the minimum solution of violation degree is chosen,
It is supplied to company manager to refer to.
Brief description of the drawings
Fig. 1 is a system architecture diagram of the performance assessment system embodiment of the present invention.
Fig. 2 is the step flow chart of the Performance evaluation embodiment of the present invention.
Fig. 3 is a hierarchical structure schematic diagram of the Performance evaluation embodiment of the present invention.
Fig. 4 is a hierarchical structure schematic diagram of the Performance evaluation embodiment of the present invention.
Fig. 5 is a system architecture diagram of the performance assessment system embodiment of the present invention.
Fig. 6 is a hierarchical structure schematic diagram of the Performance evaluation embodiment of the present invention.
Fig. 7 is a system architecture diagram of the performance assessment system embodiment of the present invention.
Fig. 8 is a hierarchical structure schematic diagram of the Performance evaluation embodiment of the present invention.
Description of reference numerals：
1 vehicle arrangement
100 communication modules
101 middleware modules
102 locating modules
103 driver's identification devices
104 energy arrangement for detecting
105 azimuth sensors
106 concentration detection equipments
107 leading vehicle distance detection equipments
108 lane shift detection equipments
109 on-board diagnostic systems
110 temperature sensors
2 data analytics server equipment
20 communication modules
22 middleware modules
24 performance evaluation modules
3 database facilities
30 communication modules
32 computing modules
34 storage modules
4 external information equipment
S201~S206 steps flow charts
Embodiment
It is right below in conjunction with drawings and Examples for the objects, technical solutions and advantages of the present invention are more clearly understood
The present invention is further elaborated；It should be appreciated that specific embodiment described herein is only to explain the present invention, but simultaneously
It is not used in the restriction present invention.
Referring to Fig. 1, the first embodiment system architecture diagram of the performance assessment system for the present invention, wherein, wrapped in system
Containing multiple vehicle arrangements 1 (avoiding schema numerous and diverse, one of rarely seen in figure), a data analytics server equipment 2 and a number
According to library facilities 3.
Vehicle arrangement 1 can transmit sets the vehicle arrangement information of vehicle to be provided to data analytics server equipment 2 on it
Expect that Analysis server equipment 2 then can be by data storage to database facility 3, then sheet performed by data analytics server equipment 2
The performance evaluation algorithm of invention calculates the performance of each driver and ranking.
In this embodiment, the vehicle arrangement 1 includes a communication module 100, a middleware module 101, a locating module
102nd, driver's identification device 103 and energy arrangement for detecting 104, wherein, the communication module 100 can support that 4G is (long
Phase evolution technology Long Term Evolution, LTE) mechanics of communication, make the vehicle arrangement 1 can be via the chain of communication module 100
4G networks are connect, and establish the communication with data analytics server equipment 2；The middleware module 101 can support Hyper text transfer to assist
Tool negotiate peace as state transfer (Representational State Transfer, REST), the vehicle arrangement 1 can be via in this
Between the call data Analysis server equipment 2 of part module 101 application programming interface (Application Program
Interfaces, APIs), and vehicle arrangement information is sent to the data analysis service in a manner of periodically or non-periodically
Device equipment 2, vehicle arrangement information can include car number, vehicle model, driver's numbering, temporal information, positional information or
Speed information etc.；And the locating module 102 can support global positioning system, so that vehicle arrangement 1 obtains via satellite signals
Positional information and speed information；Driver's identification device 103 is a radio frequency identification system (Radio
Frequency Identification, RFID) calculating punch, and driver's identification documents that driver each possesses
It is a RFID label tag (tag), the RFID label tag can store driver numbering, and close to driver's identification device
When 103, driver's identification device 103 can obtain driver's numbering therein；Energy arrangement for detecting 104 is that an oil mass is detectd
Survey device, can detecting vehicle fuel tank gasoline quantity, obtain energy expenditure information to calculate the difference of gasoline quantity, and provide energy
Amount consumption information gives the vehicle arrangement 1, therefore the vehicle arrangement packet that vehicle arrangement 1 transmits contains car number, vehicle model, driven
Sail people's numbering, temporal information, positional information, speed information and energy expenditure information.
And in this embodiment, share CNPlatform vehicle arrangement, TNKind vehicle model, DNPosition driver, the vehicle arrangement 1 can
Every the vehicle arrangement information of transmission in 30 seconds to data analytics server equipment 2, as shown in the example of following table one；Such as：The
For one driver in 2015/01/01 vehicle for driving car number first, the vehicle model for the vehicle arrangement that the vehicle is set is the
A kind of vehicle model, the status that vehicle arrangement obtains driver through driver's identification device are numbered for the first driver,
And the vehicle arrangement can be via its locating module in 06:00:00 obtains positional information (the i.e. longitude of the vehicle arrangement
102.5423383 degree and 24.09490167 degree of latitude) and speed information (i.e. 44 kilometers/hour of speed per hour), and vehicle arrangement passes through
Obtained by the energy arrangement for detecting (2,015,/01,/01 05 in 30 seconds:59:30-2015/01/01 06:00:00) institute's oil supply
For 0.037 liter (i.e. energy expenditure information), then the REST via affiliated middleware module call data Analysis server
APIs, by vehicle arrangement information transmission to data analytics server.
It is table one below：
Please continue to refer to Fig. 1, wherein, data analytics server equipment 2 includes a communication module 20, a middleware module 22
An and performance evaluation module 24；In this embodiment, the data analytics server equipment 2 can support (SuSE) Linux OS, micro-
Soft Windows operating system etc., and web service servers can be built in affiliated operating system；The communication module 20 can be supported
Cable-network transmission, to establish the communication between vehicle arrangement 1, database facility 3 and data analytics server equipment 2；And it is somebody's turn to do
Middleware module 22 uses Tomcat web service servers implementations, is interfaced with building multiple REST APIs for vehicle arrangement 1,
It can receive the vehicle arrangement information that vehicle arrangement 1 transmits via HTTP, and the vehicle arrangement received is believed
Breath and energy expenditure information are stored to database facility 3, wherein, vehicle arrangement information can include car number, vehicle model, drive
Sail people's numbering, temporal information, positional information, speed information and energy expenditure information；And performance evaluation module 24 then performs achievement
Assessment algorithm is imitated, collects the vehicle arrangement information that respectively vehicle arrangement is transmitted, and analyze the energy resource consumption of every driver
Quantity, calculate the energy resource consumption performance and ranking of every driver.
Please continue to refer to Fig. 1, the database facility 3 includes a communication module 30, a computing module 32 and a storage mould
Block 34；In this embodiment, the database facility 3 uses Microsoft SQL (Structural Query
Language, SQL) server, MySQL, PostgreSQL, Oracle databases server, MongoDB servers, HBase clothes
Business device etc. carrys out implementation；And the communication module 30 can support cable-network transmission, to establish database facility 3 and data analysis service
Communication between device equipment 2；The computing module 32 can receive what data analytics server equipment 3 was transmitted via communication module 30
It is required that to access the storage module 34；And the storage module 34 interfaces with computing module 32, come provide it is newly-increased, change, delete, look into
The operation such as inquiry, the storage module 34 can store vehicle arrangement information (as shown in upper table one).
Fig. 2 is refer to again, and for the step flow chart of the Performance evaluation of the present invention, Performance evaluation is data analysis
The performance evaluation algorithm performed by performance evaluation module in server apparatus, its step comprise at least：
1. step S201 is collected and analysis vehicle arrangement information, it extremely should by respectively vehicle arrangement return vehicle arrangement information
Data analytics server equipment, then by the data analytics server device analysis vehicle arrangement information, especially one the period section
Interior vehicle arrangement information, and by vehicle arrangement information storage to the database facility；
2. step S202 selects characteristic element, characteristic element includes vehicle arrangement, vehicle model and driver etc., can
Multiple characteristic elements are selected to carry out performance evaluation；
3. step S203 construction hierarchical structures, the upper and lower relational structure is set according to the characteristic element of selection；
4. step S204 pairwise comparison matrix produces algorithm, relatively square is produced in pairs according to the characteristic element of each hierarchical arrangement
Battle array；
5. step S205 calculate eigen vector, with each hierarchy characteristic key element of numerical analysis feature to
Moment matrix；
6. step S206 selects solution, each solution party can be produced according to the eigenvectors matrix of each hierarchy characteristic key element
The fraction of case, then filter out the best solution corresponding to a best score.
According to above-mentioned Performance evaluation, in the present embodiment, step S201 collect and analysis vehicle arrangement information be by
The performance evaluation module is inquired about with analyzing each vehicle arrangement information in a period section to the database facility, period section
It is 1 year in this embodiment；By taking i-th kind of vehicle model as an example, the performance evaluation module is inquired about and counted to the database facility
I-th kind of vehicle model is in the energy expenditure information in the whole year in 2015In this embodiment, T is sharedNKind vehicle model, statistics
Go out the energy expenditure information of all vehicle models
Step S202 selection characteristic elements are analyzed using vehicle model and the characteristic element of driver two, and are carried out according to this
Step S203 establishes hierarchical structure, sequentially using best solution as first layer, vehicle model be used as the second layer, driver make
For third layer, its hierarchical structure schematic diagram refers to Fig. 3.
Step S204 pairwise comparison matrix produces algorithm, counts the numerical value of the characteristic element of each hierarchical arrangement, and according to
The ratio of the numerical value produces pairwise comparison matrix；
In this embodiment, the vehicle model of the second layer can correspond to a pairwise comparison matrix, and the pairwise comparison matrix can be adopted
Produced with following manner, the comparison and analysis of the energy expenditure of each vehicle model can be carried out by the pairwise comparison matrix, and used
The eigenvectors matrix of characteristic element in numerical analysis method computation levels；
The initialization pairwise comparison matrix of vehicle model：
The regular pairwise comparison matrix of vehicle model：
The eigenvectors matrix of second layer characteristic element, i.e., the influence factor weight matrix of each vehicle model：
In this embodiment, the driver of each vehicle model of third layer can all correspond to a pairwise comparison matrix, and this is paired
Comparator matrix can use following manner to produce, and the energy for each driver that can carry out each vehicle model by the pairwise comparison matrix disappears
The comparison and analysis of consumption；If by taking energy resource consumption caused by each driver drives the first vehicle model as an example：
The initialization pairwise comparison matrix of the driver of the first vehicle model：
The regular pairwise comparison matrix of the driver of the first vehicle model：
The influence factor weight matrix of each driver of the first vehicle model：
According to above-mentioned calculation, the driver of the xth kind vehicle model of third layer can correspond to a pairwise comparison matrix,
The pairwise comparison matrix can use following manner to produce, each driver's that each vehicle model can be carried out by the pairwise comparison matrix
The comparison and analysis of energy expenditure；
The initialization pairwise comparison matrix of the driver of xth kind vehicle model：
The regular pairwise comparison matrix of the driver of xth kind vehicle model：
The influence factor weight matrix of each driver of xth kind vehicle model：
The rest may be inferred, can produce T in third layerNIndividual pairwise comparison matrix, i.e.,And it can establish according to this
The eigenvectors matrix W of the characteristic element of third layer2：
Hold, after step S205 calculates eigen vector.Enter step S206 selection solutions, according to each
Hierarchy characteristic element characteristic vector matrix produces the fraction of each solution, then filters out best solution；Implement herein
In example, the fraction of each solution is that (as shown in following formula) is produced by the way of matrix multiple, each solution
Fraction is represented as energy resource consumption ratio of this solution compared to other drivers, υ1Represent the fraction (i.e. of solution 1
The fraction of one driver), υ2Represent solution 2 fraction (i.e. the fraction of second driver) ...,Represent and solve
Scheme DNFraction (i.e. DNThe fraction of position driver)；
In this embodiment, the lower person of energy resource consumption is better, therefore the fraction of more each solution, obtains minimum point
Several solutions, the then artificial optimum drive people of the driving corresponding to the solution；As, it is assumed that lowest fractional is υ1, then
Represent first driver and be better than other drivers, be able to will be obtained by first various vehicle model of driver's driving minimum
Energy resource consumption.
According to above-mentioned calculation, it is assumed that TNEnergy resource consumption quantity for 3, the first vehicle model is second of vehicle type
Number 1.011 times of energy resource consumption quantity, the energy that the energy resource consumption quantity of the first vehicle model is the third vehicle model
The initialization pairwise comparison matrix of 1.022 times of quantity consumed, then vehicle model, as shown in the example of following table two：
| Vehicle model 1 | Vehicle model 2 | Vehicle model 3 | |
| Vehicle model 1 | 1.000 | 1.011 | 1.022 |
| Vehicle model 2 | 0.989 | 1.000 | 1.011 |
| Vehicle model 3 | 0.978 | 0.989 | 1.000 |
Further according to the regular pairwise comparison matrix being initialized to comparing matrix computations vehicle model of vehicle model, such as
Shown in the example of following table three：
| Vehicle model 1 | Vehicle model 2 | Vehicle model 3 | |
| Vehicle model 1 | 0.337 | 0.337 | 0.337 |
| Vehicle model 2 | 0.333 | 0.333 | 0.333 |
| Vehicle model 3 | 0.330 | 0.330 | 0.330 |
The characteristic element eigenvectors matrix of the second layer is calculated further according to the regular pairwise comparison matrix of vehicle model, such as
Shown in the example of following table four：
| Vehicle model 1 | Vehicle model 2 | Vehicle model 3 |
| 0.337 | 0.333 | 0.330 |
According to above-mentioned calculation, it is assumed that DNThe energy resource consumption number of the first vehicle model is driven for 3, first drivers
Measure for second driver drive 0.981 times of energy resource consumption quantity of the first vehicle model, first driver drive the
A kind of energy resource consumption quantity of vehicle model is the energy resource consumption quantity that the 3rd driver drives the first vehicle model
0.972 times, then the first vehicle model driver initialize pairwise comparison matrix, as shown in the example of following table five：
| Driver 1 | Driver 2 | Driver 3 | |
| Driver 1 | 1 | 0.981 | 0.972 |
| Driver 2 | 1.019 | 1 | 0.991 |
| Driver 3 | 1.029 | 1.009 | 1 |
It is initialized to drive to comparing matrix computations the first vehicle models further according to the driver of the first vehicle model
People's normalization pairwise comparison matrix is sailed, as shown in the example of following table six：
| Driver 1 | Driver 2 | Driver 3 | |
| Driver 1 | 0.328 | 0.328 | 0.328 |
| Driver 2 | 0.334 | 0.334 | 0.334 |
| Driver 3 | 0.338 | 0.338 | 0.338 |
The each of the first vehicle model is calculated further according to driver's normalization pairwise comparison matrix of the first vehicle model
The influence factor weight matrix of driver, as shown in the example of following table seven：
| Driver 1 | Driver 2 | Driver 3 |
| 0.328 | 0.334 | 0.338 |
According to above-mentioned calculation, it is assumed that first driver drives the energy resource consumption quantity of second of vehicle model as the
Two drivers drive 0.941 times of the energy resource consumption quantity of second of vehicle model, first driver's second of car of driving
The energy resource consumption quantity of model drives 0.974 times of the energy resource consumption quantity of second of vehicle model for the 3rd driver,
The then initialization pairwise comparison matrix of the driver of second of vehicle model, as shown in the example of following table eight：
| Driver 1 | Driver 2 | Driver 3 | |
| Driver 1 | 1 | 0.941 | 0.974 |
| Driver 2 | 1.063 | 1 | 1.035 |
| Driver 3 | 1.027 | 0.966 | 1 |
It can be initialized to according to the driver of second of vehicle model to comparing second of vehicle model of matrix computations
The regular pairwise comparison matrix of driver, as shown in the example of following table nine：
Can be according to the regular pairwise comparison matrix of the driver of second of vehicle model second of vehicle model of calculating
The influence factor weight matrix of each driver, as shown in the example of following table ten：
| Driver 1 | Driver 2 | Driver 3 |
| 0.324 | 0.344 | 0.332 |
According to above-mentioned calculation, it is assumed that first driver drives the energy resource consumption quantity of the third vehicle model as the
Two drivers drive 0.998 times of the energy resource consumption quantity of the third vehicle model, first driver drive the third car
The energy resource consumption quantity of model drives 0.999 times of the energy resource consumption quantity of the third vehicle model for the 3rd driver,
The then initialization pairwise comparison matrix of the driver of the third vehicle model, as shown in the example of following table 11：
| Driver 1 | Driver 2 | Driver 3 | |
| Driver 1 | 1 | 0.998 | 0.999 |
| Driver 2 | 1.002 | 1 | 1.001 |
| Driver 3 | 1.001 | 0.999 | 1 |
It can be initialized to according to the driver of the third vehicle model to comparing matrix computations the third vehicle models
The regular pairwise comparison matrix of driver, as shown in the example of following table 12：
| Driver 1 | Driver 2 | Driver 3 | |
| Driver 1 | 0.333 | 0.333 | 0.333 |
| Driver 2 | 0.334 | 0.334 | 0.334 |
| Driver 3 | 0.333 | 0.333 | 0.333 |
The third vehicle model can be calculated according to the regular pairwise comparison matrix of the driver of the third vehicle model
The influence factor weight matrix of each driver, as shown in the example of following table 13：
| Driver 1 | Driver 2 | Driver 3 |
| 0.333 | 0.334 | 0.333 |
And the characteristic element eigenvectors matrix of third layer be with reference to the first vehicle model each driver influence because
Plain weight matrix, second vehicle model each driver influence factor weight matrix, the third vehicle model each driving
The influence factor weight matrix of people, as shown in the example of following table 14：
| Driver 1 | Driver 2 | Driver 3 | |
| Vehicle model 1 | 0.328 | 0.334 | 0.338 |
| Vehicle model 2 | 0.324 | 0.344 | 0.332 |
| Vehicle model 3 | 0.333 | 0.334 | 0.333 |
The fraction of piecemeal solution scheme can be obtained by the way of matrix multiple, i.e. table four and table 14 liang of matrix multiples
As a result, as a result as shown in the example of following table 15.
| Driver 1 (solution 1) | Driver 2 (solution 2) | Driver 3 (solution 3) |
| 0.328 | 0.337 | 0.334 |
Wherein, the fraction of first solution (i.e. first driver) is minimum, i.e. energy resource consumption is minimum, represents through this
It is best solution that the method for invention, which can be calculated first driving,.
The present invention more has another embodiment, is a kind of performance assessment system and method, can operate with energy-saving driving performance and comment
The purposes estimated, disappeared by the energy that performance assessment system performs the collection of performance evaluation algorithm and analyzes multiple drivers' driving vehicles
Consumption, minimum solution is consumed to choose.
Wherein, the performance assessment system in the present embodiment is identical with Fig. 1 setting, and the vehicle arrangement 1 includes a communication mould
Block 100, a middleware module 101, a locating module 102, driver's identification device 103 and energy arrangement for detecting
104, wherein, the communication module 100 can support 4G (Long Term Evolution Long Term Evolution, LTE) mechanics of communication,
The vehicle arrangement 1 is linked 4G networks via the communication module 100, and establish the communication with data analytics server equipment 2；
The middleware module 101 can support HTTP and tool as state transfer (Representational State
Transfer, REST), the vehicle arrangement 1 can be via the application of the call data Analysis server equipment 2 of middleware module 101
Program Interfaces (Application Program Interfaces, APIs), and by vehicle arrangement information with periodically or
Acyclic mode is sent to the data analytics server equipment 2, and vehicle arrangement information can include car number, vehicle type
Number, driver's numbering, temporal information, positional information or speed information etc.；And the locating module 102 can support global positioning system
System, so that vehicle arrangement 1 obtains positional information and speed information via satellite signals；Driver's identification device 103 is
One radio frequency identification system (Radio Frequency Identification, RFID) calculating punch, and driver is each
It is a RFID label tag (tag) from the driver's identification documents possessed, the RFID label tag can store a driver and number, and
During close to driver's identification device 103, driver's identification device 103 can obtain driver's numbering therein；
Energy arrangement for detecting 104 is an oil mass arrangement for detecting, can detecting vehicle fuel tank gasoline quantity, to calculate the difference of gasoline quantity
Energy expenditure information is obtained, and energy expenditure information is provided and gives the vehicle arrangement 1, therefore the vehicle arrangement that vehicle arrangement 1 transmits is believed
Breath includes car number, vehicle model, driver's numbering, temporal information, positional information, speed information and energy expenditure money
News.
In the present embodiment, C is sharedNPlatform vehicle arrangement, TNKind vehicle model, DNPosition driver, vehicle arrangement was every 30 seconds
Once the vehicle arrangement information is to the data analytics server equipment for transmission, as shown in following table 16；Such as：First driver in
2015/01/01 drives the vehicle of car number first, and the vehicle model for the vehicle arrangement that the vehicle is set is the first vehicle type
Number, the status that vehicle arrangement obtains driver through driver's identification device is numbered for the first driver, and the vehicle
Equipment can be via its locating module in 06:00:00 positional information for obtaining the vehicle arrangement (i.e. 102.5423383 degree of longitude with
24.09490167 degree of latitude) and speed information (i.e. 44 kilometers/hour of speed per hour), and vehicle arrangement is detected via the energy and filled
Put and obtain (2,015,/01,/01 05 in 30 seconds:59:30-2015/01/01 06:00:00) consume electricity for 0.019 degree (kilowatt
Hour (1kWh) (i.e. energy expenditure information), then the REST APIs via affiliated middleware module call data Analysis server,
With by vehicle arrangement information transmission to data analytics server.
The example of table 16 is as follows：
The system architecture of the present embodiment please continue to refer to Fig. 1, wherein, data analytics server equipment 2 include one communication mould
Block 20, a middleware module 22 and a performance evaluation module 24；In this embodiment, the data analytics server equipment 2 can
(SuSE) Linux OS, Microsoft's Windows operating system etc. are supported, and network service service can be built in affiliated operating system
Device；The communication module 20 can support cable-network transmission, to establish vehicle arrangement 1, database facility 3 and data analytics server
Communication between equipment 2；And the middleware module 22 uses Tomcat web service servers implementations, to build multiple REST
APIs interfaces with for vehicle arrangement 1, and it can receive the vehicle arrangement information that vehicle arrangement 1 transmits via HTTP, and
The vehicle arrangement information received and energy expenditure information are stored to database facility 3, wherein, vehicle arrangement information can include
Car number, vehicle model, driver's numbering, temporal information, positional information, speed information and energy expenditure information；And achievement
Effect evaluation module 24 then performs performance evaluation algorithm, collects the vehicle arrangement information that respectively vehicle arrangement is transmitted, and analyze
The energy resource consumption quantity of every driver, calculate the energy resource consumption performance and ranking of every driver.
The database facility 3 includes a communication module 30, a computing module 32 and a storage module 34；In this embodiment
In, the database facility 3 use Microsoft SQL (Structural Query Language, SQL) server,
MySQL, PostgreSQL, Oracle databases server, MongoDB servers, HBase servers etc. carry out implementation；And this is logical
News module 30 can support cable-network transmission, to establish the communication between database facility 3 and data analytics server equipment 2；
The computing module 32 can access the storage mould via the requirement that the reception data analytics server of communication module 30 equipment 3 is transmitted
Block 34；And the storage module 34 interfaces with computing module 32, to provide the operations such as newly-increased, modification, deletion, inquiry, the storage mould
Block 34 can store vehicle arrangement information (as shown in upper table 16).
And the step flow chart of the Performance evaluation of the present embodiment, it is also identical with above-mentioned first embodiment, it refer to figure
2, its step includes：Step S201 is collected and analysis vehicle arrangement information；Step S202 selects characteristic element；Step S203 construction
Hierarchical structure；Step S204 pairwise comparison matrix produces algorithm；Step S205 calculates eigen vector；Step S206 is selected
Solution is selected, to filter out the best solution for corresponding to a best score.
In this embodiment, step S201 is collected and analysis vehicle arrangement information is set from performance evaluation module to database
Inquiry for future reference can calculate the average energy consumption money in different speed per hour sections with analyzing each vehicle arrangement information in 1 year
News, in this embodiment, share 14 speed per hour sections, include：1st speed per hour section is 0 kilometer/hour, the 2nd speed per hour section
To be more than 10 kilometers/hour and to be less than or equal to more than 0 kilometer/hour and less than or equal to 10 kilometers/hour, the 3rd speed per hour section
20 kilometers/hour, the 4th speed per hour section be more than 20 kilometers/hour and less than or equal to 30 kilometers/hour, the 5th speed per hour section be big
It is more than 40 kilometers/hour and public less than or equal to 50 in 30 kilometers/hour and less than or equal to 40 kilometers/hour, the 6th speed per hour section
In/hour, the 7th speed per hour section be more than 50 kilometers/hour and less than or equal to 60 kilometers/hour, the 8th speed per hour section be more than 60
Kilometer/hour and less than or equal to 70 kilometers/hour, the 9th speed per hour section be more than 70 kilometers/hour and less than or equal to 80 kilometers/
Hour, the 10th speed per hour section are for more than 90 more than 80 kilometers/hour and less than or equal to 90 kilometers/hour, the 11st speed per hour section
Kilometer/hour and be more than 100 kilometers/hour and public less than or equal to 110 less than or equal to 100 kilometers/hour, the 12nd speed per hour section
In/hour, the 13rd speed per hour section is more than 110 kilometers/hour and less than or equal to 120 kilometers/hour and the 14th speed per hour section
For more than 120 kilometers/hour.
By taking i-th of vehicle arrangement as an example, performance evaluation module inquires about and analyzed i-th of vehicle arrangement to the database facility
The energy expenditure information in each speed per hour section in 2015：The energy expenditure information in i-th of speed per hour section of vehicle arrangement the 1stDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 2ndDegree, i-th speed per hour section of vehicle arrangement the 3rd
Energy expenditure informationDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 4thDegree, i-th vehicle arrangement the
The energy expenditure information in 5 speed per hour sectionsDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 6thDegree, i-th
The energy expenditure information in the individual speed per hour section of vehicle arrangement the 7thDegree, the energy expenditure in i-th of speed per hour section of vehicle arrangement the 8th provide
NewsDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 9thDegree, i-th of speed per hour section of vehicle arrangement the 10th
Energy expenditure informationDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 11stDegree, i-th of vehicle are set
The energy expenditure information in standby 12nd speed per hour sectionDegree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 13rd
Degree, the energy expenditure information in i-th speed per hour section of vehicle arrangement the 14thDegree.
According to above-mentioned Performance evaluation, so that i-th of driver drives x-th of vehicle arrangement as an example, the performance evaluation mould
Block is inquired about and analyzed i-th of driver to the database facility and drives x-th of vehicle arrangement in each speed per hour of a year and a day in 2015
The energy expenditure information in section：I-th of driver drives energy expenditure information of x-th of vehicle arrangement in the 1st speed per hour sectionDegree, i-th of driver drive energy expenditure information of x-th of vehicle arrangement in the 2nd speed per hour section and areSpend, i-th
Driver drives energy expenditure information of x-th of vehicle arrangement in the 3rd speed per hour sectionDegree, i-th of driver drive xth
Energy expenditure information of the individual vehicle arrangement in the 4th speed per hour section beDegree, i-th of driver drive x-th of vehicle arrangement and existed
The energy expenditure information in the 5th speed per hour section isDegree, i-th of driver drive x-th of vehicle arrangement in the 6th speed per hour section
Energy expenditure information isDegree, i-th of driver drive energy expenditure information of x-th of vehicle arrangement in the 7th speed per hour section
ForDegree, i-th of driver drive energy expenditure information of x-th of vehicle arrangement in the 8th speed per hour section and areDegree, i-th
Individual driver drives energy expenditure information of x-th of vehicle arrangement in the 9th speed per hour sectionDegree, i-th of driver drive
Energy expenditure information of x-th of vehicle arrangement in the 10th speed per hour section beDegree, i-th of driver drive x-th of vehicle and set
It is for the energy expenditure information in the 11st speed per hour sectionDegree, i-th of driver drive x-th of vehicle arrangement in the 12nd speed per hour
The energy expenditure information in section isDegree, i-th of driver drive energy of x-th of vehicle arrangement in the 13rd speed per hour section
Consuming information isDegree, i-th of driver drive energy expenditure information of x-th of vehicle arrangement in the 14th speed per hour section and areDegree.
Step S202 selects characteristic element in this embodiment, using vehicle arrangement and driver's two characteristic element progress
Analysis, and according to this carry out step S203 establish hierarchical structure, sequentially using best solution as first layer, vehicle arrangement as
The second layer, driver refer to Fig. 4 as third layer, its hierarchical structure schematic diagram.
Wherein, the step S204 pairwise comparison matrix produces algorithm, and distance function or similarity function can be used to calculate
The numerical value of the characteristic element of each hierarchical arrangement, and produce pairwise comparison matrix according to numerical value.
In this embodiment, the vehicle arrangement of the second layer can correspond to a pairwise comparison matrix, and its pairwise comparison matrix can
Produced, can be used to calculate the regular chemical conversion of vehicle arrangement respectively using cosine similarity (Cosine Similarity) mode
To comparator matrix and the eigenvectors matrix of the characteristic element of the second layer；
The initialization pairwise comparison matrix of vehicle arrangement：
The regular pairwise comparison matrix of vehicle arrangement：
The characteristic element eigenvectors matrix of the second layer, i.e., the influence factor weight matrix of each vehicle arrangement：
In this embodiment, the driver of each vehicle arrangement of third layer can all correspond to a pairwise comparison matrix, this into
Comparator matrix can be produced using cosine similarity mode, and respectively driving for each vehicle arrangement can be carried out by the pairwise comparison matrix
The comparison and analysis of the energy expenditure of people is sailed, so that i-th drives x-th of vehicle arrangement as an example, permeable x-th of vehicle arrangement
The initialization pairwise comparison matrix of driver, and then square is compared in the normalization for calculating the driver of x-th of vehicle arrangement in pairs
The characteristic element eigenvectors matrix of battle array and third layer；
Wherein, the initialization pairwise comparison matrix of the driver of x-th of vehicle arrangement：
Wherein, the regular pairwise comparison matrix of the driver of x-th of vehicle arrangement：
Driver's influence factor weight matrix of x-th of vehicle arrangement：
The rest may be inferred, can produce C in third layerNIndividual pairwise comparison matrix, i.e.,And it can build according to this
The characteristic element eigenvectors matrix W of vertical third layer2：
Hold, after step S205 calculates eigen vector.Enter step S206 selection solutions, herein
In embodiment, the fraction of piecemeal solution scheme can obtain (as follows) via eigenvectors matrix multiplication, each solution
Fraction is represented as energy resource consumption ratio of the solution compared to other drivers, υ1Represent the fraction (i.e. first of solution 1
Position driver fraction), υ2Represent solution 2 fraction (i.e. the fraction of second driver) ...,Represent solution party
Case DNFraction (i.e. DNThe fraction of position driver)；
The similarity of piecemeal solution scheme can be calculated using cosine similarity, and find out the minimum solution party of fraction according to this
Case, that is, this solution and other solution differences maximum are represented, to find out the maximum driver of energy resource consumption difference.
The present invention more has another embodiment, is a kind of performance assessment system and method, can operate with dangerous driving performance and comment
The purposes estimated, performance evaluation algorithm is performed by the performance evaluation module, collect and analyze the event that plural driver drives vehicle
Information, event information be excess speed event, anxious accelerated events, anxious brake event, zig zag event, all of a sudden refreshing event, do not keep safety
Apart from event, lane shift event etc., to choose the minimum solution of degree of danger.
The system architecture diagram of the performance assessment system of the present embodiment is referring to Fig. 5, include multiple vehicle arrangements 1 in system
(avoiding schema numerous and diverse, one of rarely seen in figure), a data analytics server equipment 2 and a database facility 3.
Vehicle arrangement 1 can transmit sets the vehicle arrangement information of vehicle to be provided to data analytics server equipment 2 on it
Expect that Analysis server equipment 2 then can be by data storage to database facility 3, then sheet performed by data analytics server equipment 2
The performance evaluation algorithm of invention calculates the performance of each driver and ranking.
In this embodiment, the vehicle arrangement 1 includes a communication module 100, a middleware module 101, a locating module
102nd, driver's identification device 103, an azimuth sensor 105, a concentration detection equipment 106, a leading vehicle distance
The lane shift detection equipment 108 of detection equipment 107 and one；Wherein, the communication module 100 can support 4G (Long Term Evolutions
Long Term Evolution, LTE) mechanics of communication, the vehicle arrangement 1 is linked 4G networks via the communication module 100,
And establish the communication with data analytics server equipment 2；The middleware module 101 can support HTTP and tool as shape
State transmits (Representational State Transfer, REST), and the vehicle arrangement 1 can be via the middleware module 101
Call data Analysis server equipment 2 application programming interface (Application Program Interfaces,
APIs the data analytics server equipment 2, car), and by vehicle arrangement information are sent in a manner of periodically or non-periodically
Facility information can include car number, vehicle model, driver's numbering, temporal information, positional information or speed information etc.
Deng；And the locating module 102 can support global positioning system so that vehicle arrangement 1 via satellite signals obtain positional information and
Speed information, judge the event informations such as excess speed event, anxious accelerated events, anxious brake event through speed information；The driving person
Part device for identifying 103 is that a radio frequency identification system (Radio Frequency Identification, RFID) card is read
Reading machine, and driver's identification documents that driver each possesses are a RFID label tag (tag), the RFID label tag can store one
Driver numbers, and when close to driver's identification device 103, driver's identification device 103 can obtain it
In driver numbering.
Wherein, the azimuth sensor 105 is a gyroscope, can detecting vehicle traveling azimuth information so that the vehicle
Equipment 1 can obtain azimuth information, and azimuth information be one between 0 to 360 numerical value, can be used to judge whether vehicle occurs
The event informations such as zig zag event；And concentration detection equipment 106 is one to screw on formula E.E.G detection equipment, can be screwed in driver
To detect the E.E.G information of the driver on head, the vehicle arrangement 1 can obtain E.E.G information to produce via E.E.G detection equipment 106
Raw absorbed force information, in this embodiment, can screw on formula E.E.G detection equipment, it has one using NeuroSky MindWave
Built-in software exports absorbed force information after can detecting E.E.G, wherein, absorbed force information is the numerical value between 0 and 100, can
To judge whether driver has the generation event information such as refreshing event all of a sudden.
The leading vehicle distance detection equipment 107 can be between detecting vehicle and front vehicles leading vehicle distance information, make the vehicle
Equipment 1 can obtain the leading vehicle distance information via the leading vehicle distance detection equipment 107, and leading vehicle distance information is a numerical value, can be used
To judge whether vehicle has generation not keep the event informations such as safe distance event；And the lane shift detection equipment 108 can be detectd
Measuring car offset lanes and the state for not beating indicator, the vehicle arrangement 1 is set to be obtained via the lane shift detection equipment 108
The lane shift information, the lane shift information are one 0 or 1 numerical value, and 0 refers to no offset lanes, and 1 refers to offset track,
It can be used to judge whether vehicle has the event informations such as generation lane shift event.
To sum up, the vehicle arrangement packet that vehicle arrangement 1 transmits therefore in the present embodiment containing car number, driver's numbering,
Temporal information and event information, event information can be excess speed event, anxious accelerated events, anxious brake event, zig zag event,
All of a sudden refreshing event, do not keep safe distance event, lane shift event.
Wherein, in the present embodiment, C is sharedNPlatform vehicle arrangement, DNPosition driver, RNThe event information of kind risk factor,
Wherein, the vehicle arrangement 1 can be every one second to the locating module 102, the azimuth sensor 105, the concentration detection equipment
106th, the leading vehicle distance detection equipment 107, the lane shift detection equipment 108, positional information, speed information, side are obtained respectively
Azimuth angle information, be absorbed in force information, leading vehicle distance information and lane shift information, and via the vehicle arrangement 1 analyze information after
Judge whether to meet risk factor, meet risk factor if having, transmission vehicle facility information to data analytics server equipment 2
When, i.e. comprising the event information for meeting risk factor in vehicle arrangement information.
In this embodiment, risk factor species RNFor 7, the event information for including seven kinds of risk factors altogether is represented, point
It is not：Excess speed event, anxious accelerated events, anxious brake event, zig zag event, all of a sudden refreshing event, do not keep safe distance event or
Lane shift event.
The first risk factor is hypervelocity, and the vehicle arrangement 1 can obtain information to sentence every one second to the locating module 102
Disconnected speed information, and the vehicle arrangement 1 can be believed via the outside of communication module 100 and one again via the middleware module 101
Breath equipment 4 interfaces with, to obtain the road information on the road of vehicle location, for example, speed limit, then compare to the external information equipment 4
To speed information and speed limit；When speed information is more than speed limit, then vehicle arrangement 1 is via the communication module 100 and data analysis
Server apparatus 2 interfaces with, and is comprised at least with transmitting vehicle facility information to data analytics server equipment 2, vehicle arrangement information
Car number, driver's numbering, temporal information and event information, event information are an excess speed events.
Second risk factor accelerates to be anxious, and the vehicle arrangement can obtain speed information every one second to the locating module 102,
Also, vehicle arrangement 1 can note down the previous second speed information and setting the first acceleration threshold value, when speed information subtract it is previous
When the difference of the speed information of second is more than the first acceleration threshold value, then vehicle arrangement 1 is via the communication module 100 and the data
Analysis server equipment 2 interfaces with, and to transmit vehicle facility information to data analytics server equipment 2, vehicle arrangement information is at least
It is an anxious accelerated events comprising car number, driver's numbering, temporal information and event information, event information.
3rd risk factor is braked to be anxious, and the vehicle arrangement 1 can obtain speed information every one second to locating module 102,
Also, vehicle arrangement 1 can note down the second acceleration threshold value of speed information and setting of previous second, when the speed information of previous second
When subtracting the difference that speed information subtracts and being more than the second acceleration threshold value, then the vehicle arrangement 1 is via the communication module 100 and the number
Interfaced with according to Analysis server equipment 2, transmission vehicle facility information is to data analytics server equipment 2, and vehicle arrangement information is at least
It is an anxious brake event comprising car number, driver's numbering, temporal information and event information, the event information.
4th risk factor is zig zag, and vehicle arrangement 1 can obtain azimuth every one second to the azimuth sensor 105
Information, also, vehicle arrangement 1 can note down the azimuth information and setting first orientation angle threshold value and second party parallactic angle of previous second
Threshold value, wherein, first orientation angle threshold value is less than second orientation angle threshold value, when azimuth information subtracts the orientation of previous second
When the difference of angle information is more than the first acceleration threshold value and difference after taking absolute value and is less than second orientation angle threshold value, then vehicle
Equipment 1 interfaces with via communication module 100 to the data analytics server equipment 2, to transmit vehicle facility information to data analysis
Server apparatus 2, vehicle arrangement information comprise at least car number, driver's numbering, temporal information and event information, the thing
Part information is a zig zag event.
5th risk factor is refreshing all of a sudden to drive, and vehicle arrangement 1 can to the acquirement of concentration detection equipment 106, this be special every one second
Force information is noted, also, vehicle arrangement 1 can set a concentration threshold value, when absorbed force information is less than the concentration threshold value, then
Vehicle arrangement 1 interfaces with via communication module 100 to the data analytics server equipment 2, to transmit vehicle facility information to data
Analysis server equipment 2, vehicle arrangement information comprise at least car number, driver's numbering, temporal information and event information,
The event information is a refreshing event all of a sudden.
For 6th risk factor not keep safe distance, vehicle arrangement 1 can obtain the car every one second to locating module 102
Fast information, and the leading vehicle distance information is obtained to leading vehicle distance detection equipment 107, and vehicle arrangement 1 can calculate speed information (list
Position is kilometer/hour) subtract the numerical value after 20, judge whether the numerical value is more than leading vehicle distance information, when the numerical value is more than front truck
During range information, then vehicle arrangement 1 interfaces with via communication module 100 to the data analytics server equipment 2, is set with transmitting vehicle
For standby information to data analytics server equipment 2, vehicle arrangement information comprises at least car number, driver's numbering, temporal information
And event information, the event information are one not keep safe distance event.
7th risk factor is lane shift, and vehicle arrangement 1 can obtain every one second to the lane shift detection equipment 108
Lane shift information simultaneously judges whether numerical value is 1, and when lane shift information value is 1, then vehicle arrangement 1 is via communication module
100 interface with to the data analytics server equipment 2, to transmit vehicle facility information to data analytics server equipment 2, the vehicle
It is that a track is inclined that facility information, which comprises at least car number, driver's numbering, temporal information and event information, the event information,
Move message event.
Please continue to refer to Fig. 5, wherein, data analytics server equipment 2 includes a communication module 20, a middleware module 22
An and performance evaluation module 24；In this embodiment, the data analytics server equipment 2 can support (SuSE) Linux OS, micro-
Soft Windows operating system etc., and web service servers can be built in affiliated operating system；The communication module 20 can be supported
Cable-network transmission, to establish the communication between vehicle arrangement 1, database facility 3 and data analytics server equipment 2；And it is somebody's turn to do
Middleware module 22 is to use Tomcat web service servers implementations, is situated between with building multiple REST APIs for vehicle arrangement 1
Connect, it can receive the vehicle arrangement information that vehicle arrangement 1 transmits, and the vehicle arrangement that will be received via HTTP
Information and energy expenditure information are stored to database facility 3, wherein, vehicle arrangement information can include car number, vehicle model,
Driver's numbering, temporal information, positional information, speed information and event information, as shown in the example of following table 17；And performance is commented
Estimate module 24 and then perform performance evaluation algorithm, collect the vehicle arrangement information that respectively vehicle arrangement is transmitted, and analyze everybody
The dangerous driving factor of driver, to calculate the performance and ranking of every driver.
Table 17 is：
The data analytics server equipment 2 can be set via middleware module 22 by the communication module 20 with the external information
Standby 4 are interfaced with, and the generation traffic accident probability of each risk factor is obtained to outside information equipment 4, and traffic thing will occur
Therefore probability store to database facility 3, as shown in the example of following table 18：
And the database facility 3 includes a communication module 30, a computing module 32 and a storage module 34；Implement herein
In example, the database facility 3 is using Microsoft's SQL (Structural Query Language, SQL) service
Device, MySQL, PostgreSQL, Oracle databases server, MongoDB servers, HBase servers etc. carry out implementation；And it is somebody's turn to do
Communication module 30 can support cable-network transmission, logical between database facility 3 and data analytics server equipment 2 to establish
News；The computing module 32 can access the storage via the requirement that the reception data analytics server of communication module 30 equipment 3 is transmitted
Storing module 34；And the storage module 34 interfaces with computing module 32, to provide the operations such as newly-increased, modification, deletion, inquiry, the storage
Storing module 34 can store vehicle arrangement information (as shown in upper table 17).
And the step of Performance evaluation of the present embodiment, Fig. 2 step flow chart is also referred to, its step includes：Step
Rapid S201 is collected and analysis vehicle arrangement information；Step S202 selects characteristic element；Step S203 construction hierarchical structures；Step
S204 pairwise comparison matrix produces algorithm；Step S205 calculates eigen vector；Step S206 selects solution, with
Filter out the best solution corresponding to a best score.
In this embodiment, step S201 is collected and analysis vehicle arrangement information can be set from performance evaluation module to database
Inquiry for future reference is with analyzing each vehicle arrangement information in one month.
So that i-th of risk factor occurs for j-th of driver as an example, performance evaluation module is inquired about and counted to database facility
The event information quantity of i-th of risk factor occurs in the January, 2015 for j-th of driverIn this embodiment, altogether
There is RNKind risk factor, the event information quantity that various risk factors occur for j-th of driver can be counted altogether
In this embodiment, step S202 selects characteristic element to be divided using risk factor and the characteristic element of driver two
Analysis, and according to this carry out step S203 establish hierarchical structure, sequentially using best solution as first layer, risk factor as
The second layer, driver refer to Fig. 6 as third layer, its hierarchical structure schematic diagram.
Wherein, step S204 pairwise comparison matrix produces algorithm, can count the number of the characteristic element of each hierarchical arrangement
Value, and produce pairwise comparison matrix according to the ratio of numerical value.
In this embodiment, the risk factor of the second layer can correspond to a pairwise comparison matrix, and the pairwise comparison matrix can be adopted
Produced with following manner, and the comparison of the generation traffic accident probability of each risk factor can be carried out by the pairwise comparison matrix with dividing
Analysis, then the eigenvectors matrix with each hierarchy characteristic key element of numerical analysis；
Wherein, the initialization pairwise comparison matrix of risk factor：
The regular pairwise comparison matrix of risk factor：
The characteristic element eigenvectors matrix of the second layer, i.e., the influence factor weight matrix of each risk factor：
In this embodiment, each risk factor of the driver of third layer can all correspond to a pairwise comparison matrix, this into
Following manner can be used to produce comparator matrix, also, in order to avoid the situation that denominator is 0, by risk factor event information number
Amount plus one, the risk factor event information quantity comparison and analysis of each driver can be carried out by the pairwise comparison matrix；Hereinafter, with
Each driver occurs exemplified by event information quantity caused by the first risk factor：
Wherein, the initialization pairwise comparison matrix of the first risk factor occurs for driver：
Wherein, the regular pairwise comparison matrix of the first risk factor occurs for driver：
Wherein, the influence factor weight matrix of the first risk factor occurs for driver：
According to identical calculation, xth kind risk factor, which occurs, for each driver of third layer can correspond to one in pairs relatively
Matrix, the pairwise comparison matrix can use following manner to produce, and the danger of each driver can be carried out by the pairwise comparison matrix
Dangerous factor event information quantity comparison and analysis；
Wherein, the initialization pairwise comparison matrix of xth kind risk factor occurs for driver：
Wherein, the regular pairwise comparison matrix of xth kind risk factor occurs for driver：
Wherein, the influence factor weight matrix of xth kind risk factor occurs for driver：
The rest may be inferred, can produce R in third layerNIndividual pairwise comparison matrix, i.e.,And it can build according to this
The characteristic element eigenvectors matrix W of vertical third layer2：
In the present embodiment, step S206 selects solution, can be produced according to the eigenvectors matrix of each hierarchy characteristic key element
The fraction of raw each solution, then filter out the best solution corresponding to a best score；Point of each solution
Number can be produced (as follows) by the way of matrix multiple, and the fraction of each solution is represented as it compared to other driving
The ratio of the generation traffic accident possibility of people, υ1Represent fraction (fraction of i.e. first driver), the υ of solution 12Generation
The fraction (i.e. the fraction of second driver) of table solution 2 ...,Represent solution DNFraction (i.e. DNDrive position
Sail the fraction of people)；
In this embodiment, it is more low better that traffic accident possibility occurs, therefore the fraction of more each solution, obtain
The solution of lowest fractional, then the driver corresponding to best solution is to be represented as optimum drive people, and it is in each danger
Minimum street accidents risks will can be obtained under the dangerous factor.
Disclosed another embodiment is also a kind of performance assessment system and method, the use for dangerous driving performance evaluation
On the way, performance evaluation algorithm can be performed by the performance evaluation module based on above-mentioned 3rd embodiment, but in selection solution party
Then it is the fraction that each solution is produced according to the eigenvectors matrix of each hierarchy characteristic key element, then believe with decision tree during case
Breath profit method filters out best solution；Wherein, decision tree information profit method, its step, which includes, calculates regular solution party
Case scores vector matrix, the confusion degree for calculating the fraction after each risk factor normalization of every driver, to calculate this mixed
Random degree obtains information profit.
Such as above-mentioned 3rd embodiment, the eigenvectors matrix W of the characteristic element of the second layer is obtained1, third layer spy
Levy element characteristic vector matrix W2And the fraction of each solutionAfterwards, by performance
Evaluation module produces a regular solution scores vector matrix ω with following calculation, wherein,Represent j-th
Fraction after i-th of risk factor normalization occurs for driver：
According to above-mentioned calculation, performance evaluation module is to calculate each of every driver with entropy (entropy) formula
The confusion degree of fraction after individual risk factor normalization, point after various risk factor normalizations is occurred with j-th of driver
Several confusion degree EjExemplified by, its calculation is as follows：
According to above-mentioned calculation, performance evaluation module is calculating each risk factor of every driver just with entropy formula
After the confusion degree of fraction after ruleization, then with one the confusion degree is subtracted, to obtain information profit, with j-th of driver
Information profit GjExemplified by, its calculation is as follows：Gj=1-Ej。
Hold, it is assumed that RNFor 3, DNFor 3, it can calculate and produce a regular solution scores vector matrix, such as following institute
Show：
Wherein,Represent the fraction after the first risk factor normalization of first driver as 0.7976,
Fraction after the third risk factor normalization of 3rd driver is 0.4225, and remaining can the rest may be inferred.
According to above-mentioned calculation, performance evaluation module is calculating each risk factor of every driver just with entropy formula
The confusion degree of fraction after ruleization；
Wherein, the confusion degree E of the fraction after each risk factor normalization of first driver1：
Wherein, the confusion degree E of the fraction after each risk factor normalization of second driver2：
Wherein, the confusion degree E of the fraction after each risk factor normalization of the 3rd driver3：
According to above-mentioned calculation, performance evaluation module is calculating each risk factor of every driver just with entropy formula
After the confusion degree of fraction after ruleization, then go to subtract with one and go up the confusion degree, to obtain information profit；Wherein, first
The information profit G of driver1=1-E1=1-0.586=0.414；The information profit G of second driver2=1-E2=1-
0.868=0.132；The information profit G of 3rd driver3=1-E3=1-0.853=0.147.
After the information profit for completing every driver, information is made a profit by the performance evaluation module and is ranked up, and is selected
Go out information profit highest solution, as best solution, represent the driver corresponding to it and endangered in one or more
Under the dangerous factor, show has notable exception compared with other drivers；In this embodiment, the information profit G of first driver1Most
Height, first driver is picked out, first driver is abnormal driving people by the performance evaluation module records.
Come again, the present invention more has another embodiment, is a kind of performance assessment system and method, can operate with logistics scholar's performance
Purposes is assessed, the collection of performance evaluation algorithm is performed by performance assessment system and analyzes the event letter that plural logistics scholar drives vehicle
Breath, to choose the minimum solution of violation degree.
Wherein, the system architecture diagram of the performance assessment system of this fifth embodiment, refer to shown in Fig. 7, included in system
Multiple vehicle arrangement 1 (avoiding schema numerous and diverse, one of rarely seen in figure), a data analytics server equipment 2 and a data
Library facilities 3.
Vehicle arrangement 1 can transmit sets the vehicle arrangement information of vehicle to be provided to data analytics server equipment 2 on it
Expect that Analysis server equipment 2 then can be by data storage to database facility 3, then sheet performed by data analytics server equipment 2
The performance evaluation algorithm of invention calculates the performance of each driver and ranking.
In this embodiment, the vehicle arrangement 1 includes a communication module 100, a middleware module 101, a locating module
102nd, driver's identification device 103, an on-board diagnostic system 109 and a temperature sensor 110, the vehicle arrangement 1
With a car number and a vehicle model；Wherein, communication module 100, middleware module 101, locating module 102, driver
The effect of identification device 103 and preceding embodiment are identical；Unlike, the on-board diagnostic system 109 can detect car
Car status information, make vehicle arrangement 1 can via the on-board diagnostic system 109 obtain car status information, vehicle-state
Information can include a door contact interrupter information；In addition, the temperature sensor 110 can be in detecting vehicle refrigerator temps information, order
The vehicle arrangement 1 can obtain the temperature information via the temperature sensor 110；Therefore in the present embodiment, vehicle arrangement 1 transmits
Vehicle arrangement packet containing car number, vehicle model, driver's numbering, temporal information, positional information, speed information, car
Door switch information and temperature information etc..
And in this embodiment, share CNPlatform vehicle arrangement, TNKind vehicle model, DNPosition driver, the vehicle arrangement 1 can
Every the vehicle arrangement information of transmission in 30 seconds to data analytics server equipment 2, as shown in the example of following table 19；Wherein：
First driver is in 2015/01/01 vehicle for driving car number first, the vehicle model of vehicle arrangement that the vehicle is set
The first vehicle model, the status that vehicle arrangement obtains driver through driver's identification device are compiled for the first driver
Number, and the vehicle arrangement can be via its locating module in 06:00:00 obtains positional information (the i.e. longitude of the vehicle arrangement
102.5423383 degree and 24.09490167 degree of latitude) and speed information (i.e. 44 kilometers/hour of speed per hour), and vehicle arrangement passes through
Obtaining car status information by the on-board diagnostic system, (for a door contact interrupter information, the value of door contact interrupter information is 1, represents car
Door switch is abnormal), vehicle arrangement is again via the REST APIs of affiliated middleware module call data Analysis server, by car
Facility information is sent to data analytics server.
Then, vehicle arrangement via the locating module in 06:00:30 obtain positional information (the i.e. longitude of the vehicle arrangement
120.5361317 degree and 24.09120167 degree of latitude) and speed information (i.e. 39 kilometers/hour of speed per hour), and the vehicle arrangement passes through
Obtaining car status information by on-board diagnostic system, (for a door contact interrupter information, the door contact interrupter information is 0, represents car door and opens
Close normal), in addition, vehicle arrangement can obtain temperature information (for 18 degree) via temperature sensor, vehicle arrangement is again via affiliated
The REST APIs of middleware module call data Analysis server, by vehicle arrangement information transmission to data analytics server,
The vehicle arrangement information of remaining time, can the rest may be inferred to obtain.
It is table 19 below：
Please continue to refer to Fig. 7, wherein, data analytics server equipment 2 includes a communication module 20, a middleware module 22
An and performance evaluation module 24；In this embodiment, the data analytics server equipment 2 can support (SuSE) Linux OS, micro-
Soft Windows operating system etc., and web service servers can be built in affiliated operating system；The communication module 20 can be supported
Cable-network transmission, to establish the communication between vehicle arrangement 1, database facility 3 and data analytics server equipment 2；And it is somebody's turn to do
Middleware module 22 uses Tomcat web service servers implementations, is interfaced with building multiple REST APIs for vehicle arrangement 1,
It can receive the vehicle arrangement information that vehicle arrangement 1 transmits via HTTP, and the vehicle arrangement received is believed
Breath and energy expenditure information are stored to database facility 3, wherein, vehicle arrangement information can include car number, vehicle model, drive
Sail people's numbering, temporal information, positional information, speed information and energy expenditure information；And performance evaluation module 24 then performs achievement
Assessment algorithm is imitated, collects the vehicle arrangement information that respectively vehicle arrangement is transmitted, and analyze the violation event of every driver
Information content, calculate the violation degree performance and ranking of every driver.
Similarly, the database facility 3 includes a communication module 30, a computing module 32 and a storage module 34；
In this embodiment, the database facility 3 is using Microsoft's SQL (Structural Query Language, SQL)
Server, MySQL, PostgreSQL, Oracle databases server, MongoDB servers, HBase servers etc. carry out implementation；
And the communication module 30 can support cable-network transmission, to establish between database facility 3 and data analytics server equipment 2
Communication；The computing module 32 can access this via the requirement that the reception data analytics server of communication module 30 equipment 3 is transmitted
Storage module 34；And the storage module 34 interfaces with computing module 32, to provide the operations such as newly-increased, modification, deletion, inquiry, separately
Outside, the storage module 34 can store a shift report tables of data, and the shift report tables of data system notes down the site information of sending and receiving goods and made a reservation for
Arrival time information, site information includes a latitude and longitude coordinates (as shown in the example of following table 20), and the storage module 34 also may be used
Store vehicle arrangement information (as shown in upper table 19).
It is table 20 below：
Wherein, when the data analytics server equipment receives each vehicle arrangement information, it will determine that analysis vehicle arrangement
The longitude and latitude of information, and compare the longitude and latitude of the site number in shift report tables of data, when two latitude and longitude coordinates away from
During from a distance from one in threshold value, site number corresponding to vehicle arrival is judged；For example, in the present embodiment, apart from door
It is worth for 50 meters, the data analytics server equipment is 2,015,/01,/01 06:00:00 receives what first car number transmitted
Vehicle arrangement information, vehicle arrangement information is as follows, includes first car number (car number), the first vehicle model (car
Model), first driver's (driver's numbering), 2,015,/01,/01 06:00:00 (time), 120.5423383 (longitudes),
24.09490167 (latitudes), 44 (speeds), 1 (door contact interrupter information), 22 (temperature informations), the data analytics server equipment
First vehicle in the latitude and longitude coordinates (i.e. longitude 120.5423383 and latitude 24.09490167) and shift report tables of data is compiled
Number each website latitude and longitude coordinates compare, can obtain latitude and longitude coordinates (the i.e. longitude of current longitude and latitude and website 1
120.5423383 and latitude 24.09490167) distance is less than this apart from threshold value, therefore it can change shift report tables of data, to add
The true arrival time information of the vehicle of first car number, shift report tables of data is as shown in the example of following table 21 after modification.
Table 21 is：
Wherein, data analytics server equipment will analyze INIndividual index factor, in this embodiment, INFor 4, bag altogether is represented
Event information containing 4 kinds of pointer factors, it is respectively：Closing of the door anomalous event, temperature anomaly event, precooling deficiency event arrive
Time anomaly of standing event etc., in addition, the analysis server apparatus can be in daily morning 01:00:The previous day is calculated when 00
Pointer factor event information, for example, the data analytics server equipment is 2,015,/01,/02 01:00:00 analysis 2015/01/
01 vehicle arrangement information (example is as shown in upper table 19), then produce the event information of these pointer factors.
Wherein, the first index factor is that closing of the door is abnormal, and performance evaluation module can obtain vehicle to the database facility
Facility information, and the door contact interrupter information of each pen data is analyzed, when the value of door contact interrupter information is 1, then represents car door and open
Exception is closed, that is, produces a closing of the door anomalous event, vehicle of the performance evaluation module corresponding to more by closing of the door anomalous event
Numbering, driver's numbering, time and corresponding event information are sent to the database facility, store into Event Information Table
(as shown in the example of following table 22)；For example, first driver drives the vehicle of first car number 2015/01/01
06:00:When 00, door contact interrupter information is 1, and the abnormal event of closing of the door is produced after being judged by performance evaluation module analysis and is believed
Breath.
And the second pointer factor is temperature anomaly, performance evaluation module can set the first temperature threshold value and second temperature door
Bank value, wherein, the first temperature threshold value is less than second temperature threshold value, and performance evaluation module obtains the car to the database facility
Facility information (as shown in the example of upper table 19), and analyze the temperature information of each pen data, when the temperature information is less than the
One temperature threshold value or the temperature information are more than second temperature threshold value, then represent temperature anomaly, and performance evaluation module produces one
Temperature anomaly event, and by the car number corresponding to temperature anomaly event, driver's numbering, time and corresponding thing
Part information transmission is to the database facility, with storage to the Event Information Table (as shown in the example of following table 22)；For example, first
Temperature threshold value is 16 degree, second temperature threshold value is 20 degree, and the vehicle that first driver drives first car number exists
2015/01/01 06:01:When 30, temperature information is 15 degree, and temperature information is less than the first temperature threshold value, by the performance evaluation
Module analysis produces the event information of the temperature anomaly after judging.
3rd index factor is precooling deficiency, and performance evaluation module can set the first temperature threshold value and second temperature door
Value, wherein, the first temperature threshold value is less than second temperature threshold value, and performance evaluation module can obtain vehicle to the database facility
Shift report tables of data (as shown in the example of upper table 21) after facility information (as shown in the example of upper table 19) and modification, and analyze
Temperature information during website 1 is reached, when temperature information is more than second temperature door less than the first temperature threshold value or temperature information
Value, then represent precooling deficiency, and performance evaluation module produces a precooling deficiency event, and the car corresponding to by precooling deficiency event
Numbering, driver's numbering, time and event information are sent to the database facility, store (as follows to the Event Information Table
Shown in the example of table 22)；For example, the first temperature threshold value is 16 degree, second temperature threshold value is 20 degree, first driver
The vehicle of first car number is driven 2,015,/01,/01 06:00:Website 1 is reached when 00, temperature information is 22 degree, temperature
Information is more than second temperature threshold value, and the event information of precooling deficiency is produced after being judged by the performance evaluation module analysis.
Wherein, the four-index factor is that arrival time is abnormal, and performance evaluation module can set an arrival time threshold value, and
But the database facility obtains shift report tables of data (as shown in upper table 21) after the modification, and analyzes the pre- of each pen data
Determine arrival time information and true arrival time information, taken absolutely after predetermined temporal information of arriving at a station subtracts the true arrival time information
When being higher than the arrival time threshold value to the numerical value after value, then arrival time exception is represented, performance evaluation module produces one and arrived at a station
Time anomaly event, and by the car number corresponding to the arrival time anomalous event, driver's numbering, time and thing
Part information transmission is stored to an Event Information Table to the database facility (as shown in the example of upper table 22)；For example, this arrives at a station
Time threshold value is 20 minutes, DNIndividual driver drives CNThe vehicle of individual car number, in website ZNPredetermined arrival time
Information is 2,015,/01,/31 22:00:00th, true arrival time information is 2,015,/01,/31 22:30:00, it is now, predetermined to arrive at a station
The numerical value that temporal information subtracts after taking absolute value after true arrival time information was 30 (minutes), and this numerical value is higher than the arrival time
Threshold value, the abnormal event information of the arrival time is produced after being judged by the performance evaluation module analysis.
Following table is table 22：
Wherein, the data analytics server equipment can be situated between by middleware module by communication module and an external information equipment
Connect, and the information such as average loss amount of money of each pointer factor are obtained to the external information equipment, and by the average loss amount of money
To database facility, example refers to shown in following table 23 information storage；
And the step flow chart of the Performance evaluation of the present embodiment, also referring to Fig. 2, its step includes：Step S201
Collect and analyze vehicle arrangement information；Step S202 selects characteristic element；Step S203 construction hierarchical structures；Step S204 is paired
Comparator matrix produces algorithm；Step S205 calculates eigen vector；Step S206 selects solution, to filter out pair
The best solution of Ying Yuyi best scores.
According to above-mentioned Performance evaluation, in this embodiment, step S201 is collected and analysis vehicle arrangement information, by
The data analytics server equipment can be interfaced with by the middleware module by communication module with an external information equipment, with outer to this
Portion's information equipment obtains the average loss amount of money of each pointer factor, and the information storage of the average loss amount of money to database is set
It is standby, refer to shown in the example of upper table 23, then those average damages are obtained from performance evaluation module to the database facility inquiry
Lose the amount of money.
Wherein, inquired about from the performance evaluation module to the database facility with analyzing intraday vehicle arrangement information；With
Exemplified by i-th of index factor occurs for j-th of driver, the performance evaluation module is inquired about and counted j-th to the database facility
Event information quantity of the driver in 2,015,/01,/01 i-th of the pointer factor occurredAnd shared INKind index factor, altogether
The pointer factor event information quantity of j-th of driver can be counted
Step S202 selects characteristic element in this embodiment, using the pointer factor and driver's two characteristic element progress
Analysis, and according to this carry out step S203 establish hierarchical structure, sequentially using best solution as first layer, index factor as
The second layer, driver refer to Fig. 8 as third layer, its hierarchical structure schematic diagram.
Wherein, the step S204 pairwise comparison matrix produces algorithm, can count the number of the characteristic element of each hierarchical arrangement
Value, and produce pairwise comparison matrix according to the ratio of numerical value.
In this embodiment, the index factor of the second layer can correspond to a pairwise comparison matrix, and the pairwise comparison matrix can be adopted
Produced with following manner, to carry out the comparison and analysis of the average loss amount of money of each pointer factor by the pairwise comparison matrix, and
The eigenvectors matrix of each hierarchy characteristic key element is calculated with numerical analysis method；
Wherein, the initialization pairwise comparison matrix of index factor：
The regular pairwise comparison matrix of index factor：
The characteristic element eigenvectors matrix of the second layer, i.e., the influence factor weight matrix of each index factor：
In this embodiment, each index factor of the driver of third layer can all correspond to a pairwise comparison matrix, and this is paired
Comparator matrix can use following manner to produce, and in order to avoid the situation that denominator is 0, can add pointer factor event information quantity
One, the pointer factor event information quantity comparison and analysis of each driver can be carried out by the pairwise comparison matrix；Hereinafter, respectively to drive
Sail exemplified by event information quantity caused by the first index factor occurs for people：
The initialization pairwise comparison matrix of the first index factor occurs for driver：
The regular pairwise comparison matrix of the first index factor occurs for driver：
The influence factor weight matrix of the first index factor occurs for driver：
According to above-mentioned calculation, xth kind index factor, which occurs, for each driver of third layer can correspond to a paired relatively square
Battle array, the pairwise comparison matrix can use following manner to produce, and the xth kind that each driver can be carried out by the pairwise comparison matrix refers to
Pin factor event information quantity comparison and analysis；
Wherein, the initialization pairwise comparison matrix of xth kind index factor occurs for driver：
Wherein, the regular pairwise comparison matrix of xth kind index factor occurs for driver：
Wherein, the influence factor weight matrix of xth kind index factor occurs for driver：
The rest may be inferred, can produce R in third layerNIndividual pairwise comparison matrix, i.e.,And it can build according to this
The characteristic element eigenvectors matrix W of vertical third layer2：
After step S205, step S206 selection solutions, produced according to each hierarchy characteristic element characteristic vector matrix every
The fraction of individual solution, then best solution is filtered out, the best solution corresponds to a best score；Implement herein
In example, the fraction of each solution can be produced (as follows) by the way of matrix multiple, the fraction of each solution
It is represented as its ratio compared to the average loss amount of money of other drivers, υ1Representing the fraction of solution 1, (i.e. first is driven
Sail the fraction of people), υ2Represent solution 2 fraction (i.e. the fraction of second driver) ..., υDNRepresent solution DN's
Fraction (i.e. DNThe fraction of position driver)；
In this embodiment, the average loss amount of money is more low better, i.e., the fraction of more each solution, obtains minimum point
Several solutions, the driver corresponding to it are represented as optimum drive people；Assuming that lowest fractional is υ1, then represent first and drive
Sail people and be better than other drivers, minimum average loss gold will can be obtained under each index factor by first driver
Volume.
And the sixth embodiment of the present invention is also a kind of performance assessment system and method, used for dangerous driving performance evaluation
On the way, and this sixth embodiment can be based on the 5th embodiment, its Performance evaluation (performance that i.e. performance evaluation module performs
Assessment algorithm) in pairwise comparison matrix produce based on algorithm is the embodiment of the above one, but calculated with fuzzy ownership function
The numerical value of the characteristic element of each hierarchical arrangement, and produce pairwise comparison matrix according to the numerical value.
In this embodiment, the corresponding pairwise comparison matrix of the index factor (i.e. vehicle arrangement) of the second layer, should in contrast with
Compared with matrix fuzzy ownership function fashion can be used to produce, the fuzzy ownership function is an amended S types function (such as after modification
Sigmoid functions), the amended S types function can subtract an amendment a reference value equal to 0 to produce S types, and by this to input value
Pairwise comparison matrix carries out the comparison and analysis of the average loss amount of money of each level pointer factor, below, calculates vehicle type respectively
Number regular pairwise comparison matrix and the second layer characteristic element eigenvectors matrix；
Wherein, the initialization pairwise comparison matrix of vehicle model：
In this embodiment, every driver in each index factor of third layer can all correspond to a paired relatively square
Battle array, the pairwise comparison matrix can use fuzzy ownership function fashion described above to produce, as amended S types function,
Wherein, with x-th of index being initialized to comparing matrix computations driver of x-th of index factor of driver
The regular pairwise comparison matrix of the factor, and the characteristic element eigenvectors matrix of third layer：
It is to be appreciated that above-listed describe in detail is to be illustrated for the possible embodiments of the present invention, the only each embodiment
And the scope of the claims of the limitation present invention is not used to, all equivalence enforcements or change without departing from carried out by skill spirit of the present invention all should
It is contained in the scope of the claims of this case.
In summary, the present invention also possesses the too late multiple efficacies of prior art, filled in category innovation in fact on technological thought
Divide the Statutory Invention patent requirement for meeting novelty and progressive, whence proposes patent application in accordance with the law, earnestly asks that your office checks and approves this part hair
Bright patent application case is to encourage invention, to sense moral just.
Claims (17)
1. a kind of performance assessment system, it is comprised at least：
Multiple vehicle arrangements, energy expenditure information, azimuth letter when each being driven a vehicle to be collected in real time when driving man-powered vehicle
Breath, it is absorbed in the vehicle arrangement information such as force information and location information；
One data analytics server equipment, the vehicle arrangement information from the respectively vehicle arrangement is received, calculated through a performance evaluation
Method calculates performance when driver drives, more can the performance of driver be ranked up；
One database facility, with the data analytics server linking of devices, believe to store the vehicle arrangement of the respectively vehicle arrangement
Breath and performance and the sequence of driver.
2. performance assessment system as claimed in claim 1, wherein, each each self-contained driver identity identification of the vehicle arrangement
Device, a locating module, a middleware module, a performance evaluation module and a communication module；
Wherein, the locating module supports global positioning system or wireless network signal positioning function, and respectively the vehicle arrangement passes through
By the affiliated locating module to obtain the positional information and speed information in vehicle arrangement information, speed information is judging to surpass
The event informations such as fast event, anxious accelerated events, anxious brake event；
Wherein, the communication module support wireless network transmissions to establish the vehicle arrangement and the data analytics server equipment it
Between communication；And
Wherein, the middleware module is supported in HTTP, message sequence remote measurement transmission or limited applications agreement at least
A kind of host-host protocol, the vehicle arrangement are situated between via the middleware module and the communication module with the data analytics server equipment
Connect, to transmit vehicle facility information to the data analytics server equipment；And
Wherein, performance evaluation module through the performance evaluation algorithm calculate driver drive when performance, more can driver achievement
Effect is ranked up；
Wherein, driver's identification device is driven to read the identification documents of driver to obtain driver's numbering
People's numbering is sailed also to be contained in vehicle arrangement information and be transferred to the data analytics server equipment.
3. performance assessment system as claimed in claim 2, wherein, respectively the vehicle arrangement each further includes energy detecting dress
Put, the energy arrangement for detecting detects the energy expenditure information of the respectively vehicle set by the vehicle arrangement, includes oil mass, electricity or day
Right tolerance etc., energy expenditure information, which is also contained in vehicle arrangement information, is transferred to the data analytics server equipment.
4. performance assessment system as claimed in claim 2, wherein, respectively the vehicle arrangement each further includes azimuth sensing
Device, respectively the vehicle arrangement is in the azimuth information of traveling to detect for the azimuth sensor, and azimuth information is judging urgency
The event informations such as turning event, and event information will be contained in vehicle arrangement information and be transferred to the data analytics server
Equipment.
5. performance assessment system as claimed in claim 2, wherein, respectively the vehicle arrangement each further includes an absorbed force detection and set
Standby, the concentration detection equipment is the E.E.G detection equipment for the formula that screws on, to screw in driving on the number of people to detect the driver
E.E.G, to obtain absorbed force information, be absorbed in force information to judge the event information such as refreshing event all of a sudden, and event information will be wrapped
It is contained in vehicle arrangement information and is transferred to the data analytics server equipment.
6. performance assessment system as claimed in claim 2, wherein, respectively the vehicle arrangement each further includes leading vehicle distance detecting
Equipment and a lane shift detection equipment, the leading vehicle distance detection equipment detecting respectively the vehicle arrangement in traveling when and front vehicles
Between leading vehicle distance information, and respectively the vehicle arrangement does not play the skew of indicator when traveling for lane shift detection equipment detecting
Lane information, leading vehicle distance information and offset lanes information are respectively judging not keep safe distance event or lane shift thing
The event informations such as part, and event information will be contained in vehicle arrangement information and be transferred to the data analytics server equipment.
7. performance assessment system as claimed in claim 2, wherein, respectively the vehicle arrangement each further includes an on-board diagnostic system
With a temperature sensor, respectively the vehicle arrangement sets the car status information of vehicle, and the temperature for on-board diagnostic system detecting
Sensor detecting respectively the vehicle arrangement set vehicle refrigerator temperature information, car status information and temperature information will be by
It is contained in vehicle arrangement information and is transferred to the data analytics server equipment.
8. performance assessment system as claimed in claim 7, wherein, the database facility can store a shift report tables of data, the class
Table tables of data is to note down the respectively site information of the vehicle arrangement sending and receiving goods and predetermined temporal information of arriving at a station, when the data analysis
After server apparatus receives vehicle arrangement information, it can be believed according to the car status information in the vehicle arrangement information and temperature
Cease to produce closing of the door anomalous event, temperature anomaly event, precooling deficiency event or arrival time anomalous event etc..
9. a kind of Performance evaluation, it is performed by a data analytics server equipment and comprises at least the following steps：
Vehicle arrangement information is collected and analyzed, vehicle arrangement information is returned to the number by the multiple vehicle arrangements being arranged on vehicle
According to Analysis server equipment, by each vehicle arrangement of the vehicle arrangement in one period of data analytics server device analysis section
Information, and by vehicle arrangement information storage a to database facility；
An at least characteristic element is selected, vehicle arrangement number, vehicle model and driver etc. are obtained from vehicle arrangement information
At least one characteristic element is selected to carry out performance evaluation in characteristic element；
Construction hierarchical structure, upper strata and the lower floor's relational structure of each this feature key element are set according to each this feature key element of selection；
Perform a pairwise comparison matrix and produce algorithm, compare square in pairs to produce one according to each this feature key element of each hierarchical arrangement
Battle array；
Eigen vector is calculated, with an eigenvectors matrix of characteristic element in each level of numerical analysis；
Solution is selected, multiple solutions are produced according to this feature vector matrix of each this feature key element in each level
After fraction, then filter out a best solution.
10. Performance evaluation as claimed in claim 9, wherein, the pairwise comparison matrix produces each layer of algorithmic system meter
The numerical value of each this feature key element of level structure setting, and produce pairwise comparison matrix according to the ratio of numerical value.
11. Performance evaluation as claimed in claim 9, wherein, the pairwise comparison matrix produces algorithm and uses distance function
Or similarity function calculates the numerical value of each this feature key element of each hierarchical structure setting, and relatively square is produced in pairs according to numerical value
Battle array.
12. Performance evaluation as claimed in claim 9, wherein, the pairwise comparison matrix produces algorithm with fuzzy ownership
Function calculates the numerical value of each this feature key element of each hierarchical structure setting, and produces pairwise comparison matrix according to numerical value.
13. Performance evaluation as claimed in claim 9, wherein, the selection solution of the data analytics server equipment
After the respectively fraction of the solution is produced, the optimal solution party is filtered out according to the respectively solution mid-score the best
Case.
14. Performance evaluation as claimed in claim 9, wherein, the selection solution of the data analytics server equipment
After the respectively fraction of the solution is produced, the best solution is filtered out with decision tree information profit method.
15. Performance evaluation as claimed in claim 9, wherein, when selecting each this feature key element, it can more select the respectively car
The energy expenditure information of equipment, so that the best solution assesses energy-saving driving performance.
16. Performance evaluation as claimed in claim 9, wherein, when selecting each this feature key element, it can more select the respectively car
The excess speed event or anxious accelerated events of equipment, anxious brake event, zig zag event, all of a sudden refreshing event, do not keep safe distance thing
At least one of event information such as part or lane shift event, so that the best solution assesses dangerous driving performance.
17. Performance evaluation as claimed in claim 9, wherein, when selecting each this feature key element, it can more select the respectively car
The events such as closing of the door anomalous event, temperature anomaly event, precooling deficiency event or the arrival time anomalous event of equipment letter
At least one of breath, so that the best solution assesses logistics scholar's performance.
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| CN110909966A (en) * | 2018-09-14 | 2020-03-24 | 北京京东尚科信息技术有限公司 | Efficiency evaluation method and efficiency evaluation system |
| CN112182081A (en) * | 2020-09-23 | 2021-01-05 | 金现代信息产业股份有限公司 | Commuting passenger vehicle performance analysis method and system |
| CN110909966B (en) * | 2018-09-14 | 2024-05-24 | 北京京东尚科信息技术有限公司 | Efficiency evaluation method and efficiency evaluation system |
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| CN107633339B (en) | 2021-05-28 |
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