CN102583197B - Management apparatus for cargo handling vehicle - Google Patents
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- CN102583197B CN102583197B CN201110353494.8A CN201110353494A CN102583197B CN 102583197 B CN102583197 B CN 102583197B CN 201110353494 A CN201110353494 A CN 201110353494A CN 102583197 B CN102583197 B CN 102583197B
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Abstract
The present invention provides a management apparatus for a cargo handling vehicle, wherein even in different working environments, the index indicating a driver's skill can be judged properly. The management apparatus for a cargo handling vehicle comprises a processing unit. Based on the driving information obtained by the cargo handling vehicle, the processing unit calculates energy consumption and variables of operating conditions of a working environment. Furthermore, the variables of operation conditions are calculated. Therefore, the energy consumption is standardized to calculated the standardized energy consumption.
Description
Technical field
The application advocates the preceence of No. 2010-254458th, the Japanese patent application based on application on November 15th, 2010.The full content of its application is by reference to being applied in this specification sheets.
The present invention relates to a kind of management devices being provided for the handling labor vehicle of the index of the chaufeur technical ability judging handling labor vehicle.
Background technology
The management devices of the driving condition had for grasping handling labor vehicle is proposed.Such as, from the driving parameters such as anxious levels of acceleration, maximum speed, brake number of times, the driving parameter total working out of the per unit consumption of fuel being brought to considerable influence is extracted.According to extracting result output for improving the instruction of the total working out of the per unit consumption of fuel.
Patent documentation 1: Japanese Unexamined Patent Publication 2009-256081 publication
Have broad spatial outdoor or under the different working environments such as being crowded with in the warehouse of a lot of goods, be difficult to drive by comparing simply the quality that parameter judges work efficiency.
Summary of the invention
Even if the object of the present invention is to provide a kind of when working environment is different, the handling labor management devices that suitably can judge the index of chaufeur technical ability also can be provided.
A kind of viewpoint according to the present invention provides the management devices of following handling labor vehicle, it has processing equipment, the driving information that described processing equipment obtains according to the handling labor vehicle travelled from goods of slinging, calculate energy consumption and depend on the operational situation parameter of working environment, according to the large young pathbreaker of the operational situation parameter calculated, energy consumption normalisation carrys out normalized energy consumption.
Invention effect
Contact by normalized energy consumption is set up with handling operating range, even if when working environment is different, also can provide the index that suitably can judge chaufeur technical ability.
Accompanying drawing explanation
Fig. 1 is the lateral plan of handling labor vehicle.
Fig. 2 is the block diagram of vehicle-mounted management device and handling labor management devices.
Fig. 3 is the chart of the condensed table representing the driving information made by the vehicle-mounted management device of embodiment 1.
Fig. 4 is the chart representing the driving information made by the management of cargo handling device of embodiment 1.
Fig. 5 is the diagram of curves shown in the read out instrument of management of cargo handling device.
Fig. 6 is the chart of the condensed table representing the driving information made by the vehicle-mounted management device of embodiment 2.
Fig. 7 is the chart representing the driving information made by the management of cargo handling device of embodiment 2.
Fig. 8 is the chart of the condensed table representing the driving information made by the vehicle-mounted management device of embodiment 3.
In figure: 10-handling labor vehicle, 11-car is pitched, 12-wheel, 13-instrument carrier panel, 14-bearing circle, 15-bar, 16-vehicle seat, 20-vehicle-mounted management device, 21-control setup, 22-real-time clock, 23-memory device, 23a-keeps in storage part, 23b-information storage part, 24-read out instrument, 25-input media, 26-communication circuit, 31-load determinator, 32-speed of a motor vehicle determinator, 33-loading bar time-and-motion study device, 34-rise height determinator, 40-network, 50-handling labor management devices, 51-processing equipment, 52-read out instrument.
Detailed description of the invention
[embodiment 1]
Namely the management object of the handling labor management devices of embodiment 1 shown in Fig. 1 loads and unloads the lateral plan of Working vehicle.Handling labor vehicle 10 comprises car fork 11, wheel 12, instrument carrier panel 13, bearing circle 14, bar 15 and seat 16.As handling labor vehicle example Fig. 1 shown in fork truck, but the management object of the handling labor management devices of embodiment also can be in the region such as factory, warehouse, assembly of slinging, product and other items travel other vehicles.
Handling labor vehicle 10 can be using the so-called engine car of the combustion engines such as spark ignition engine as drive source, also can be using the so-called storage battery car of electro-motor as drive source, and described electro-motor is by obtaining driving from the electric energy of the electrical storage device supplies such as battery.In the following description, handling labor vehicle 10 is set to storage battery car.
Chaufeur is taken in seat 16, direction of operating dish 14, multiple bar 15, acceleration pedal, brake pedal and other various switches.The lifting of car fork 11, the moving forward and backward and turn right and the action such as left-hand rotation of handling labor vehicle 10 is carried out by these operations.The handling of goods, conveying etc. are carried out by combining these actions.
The vehicle-mounted management device 20 of handling labor vehicle 10 and the block diagram of handling labor management devices 50 is equipped on shown in Fig. 2.Vehicle-mounted management device 20 comprises control setup 21, real-time clock (RTC) 22, memory device 23, read out instrument 24, input media 25, communication circuit 26 and interface 27.
Control setup 21 comprises the memory storages such as arithmetical device and semiconductor memory such as CPU, MPU.RTC22 measures the time instantly, and instantly temporal information will be sent to control setup 21.Storage part 23 comprises temporary storage part 23a and information storage part 23b.Temporary storage part 23a temporarily stores various data.Information storage part 23b store car information.Read out instrument 24 is equipped on instrument carrier panel 13 (Fig. 1), is made up of CRT, LCD panel or LED display board etc.Input media 25 possesses the function be connected with enter key and external input device.Information, the various initial setting information of enter key are input to control setup 21 by input media 25.
Communication circuit 26 is communicated with handling labor management devices 50 by network 40.Interface 27 receives the measurement result measured by load determinator 31, speed of a motor vehicle determinator 32, loading bar time-and-motion study device 33 and rise height determinator 34, and inputs to control setup 21.
Load determinator 31 measures the load (weight of goods) that car fork 11 (Fig. 1) bear.Speed of a motor vehicle determinator 32 measures the moving velocity of handling labor vehicle.The operational ton of the loading bar in loading bar time-and-motion study device 33 analyzing rod 15 (Fig. 1).Rise height determinator 34 measures the height of car fork 11 distance reference position.
Network 40 can apply the various networks that can carry out data communication.Such as, wired or wireless public correspondence line network, dedicated communication line net, internet, vehicular telephone net, private can be utilized or these are carried out the communication network that combines.
Network 40 is connected with handling labor management devices 50.Handling labor management devices 50 comprises processing equipment 51 and read out instrument 52.Read out instrument 52 is subject to processing the control of device 51 to show image.
Before the action that vehicle-mounted management device 20 and management of cargo handling device 50 are described, term is defined.
" loading condition " refers to that the load measured by load determinator 31 exceedes the state of specified value.That is, refer to and pitch by car the state (such as, pallet sling away from ground state) that 11 (Fig. 1) are loaded with goods.
" handling number of times " refers to the number of times of conveying articles, and at the end of 1 loading condition, handling number of times increases by 1 time.Retreat after placement tray, judge that 1 loading condition terminates thus.As an example, the measured value according to load determinator 31 judges without after load, carries out backward movement, judges that 1 loading condition terminates thus.At this, after temporarily being contacted to earth by goods, again sling when travelling, handling number of times can not increase.That is, even if sling same goods several times, handling number of times also regards 1 time as.
" load distance " refers to the distance of handling labor vehicle traveling in the loaded state.Load distance can be deducted the value calculated at the Cumulative Distance of this loading condition start time and calculate by the value calculated from the Cumulative Distance in loading condition finish time.
" electrical storage device discharge rate " refers to by the value of time to the discharge current integration gained from electrical storage device.If carry out integration with the time to the voltage of electrical storage device and the amassing of discharge current, then try to achieve consumed energy.When the voltage constant of electrical storage device, electrical storage device discharge rate can be operated as the physical quantity with energy consumption equivalence.In addition, the situation of engine car, fuel discharge is equivalent to energy consumption.
Then, the action of vehicle-mounted management device 20 is described.Vehicle-mounted management device 20 obtains the driving information of handling labor vehicle 10, and the information obtained is stored in temporary storage part 23a.Such as, whenever loading condition terminates, the weight (load) of the goods carried under this loading condition is stored in temporary storage part 23a.
If 1 time accumulation period terminates, then calculate the operating range travelled in this accumulation period.1 time accumulation period is such as 15 minutes.The value that Cumulative Distance when this operating range can be deducted this accumulation period by the value calculated from the Cumulative Distance at the end of this accumulation period calculates calculates.Calculate the discharge rate from electrical storage device in this accumulation period further.Discharge rate such as can by measuring discharge current by certain sampling time and carrying out integration to calculate to measurement result with the time.Operating range in this accumulation period, discharge rate and handling number of times are stored in temporary storage part 23a.Because can think that discharge rate represents energy consumption, so sometimes " discharge rate " is called " energy consumption " below.
An example of the data of temporary storage part 23a is stored in shown in Fig. 3.By accumulation period, store handling number of times, the handling corresponding load of number of times and operating range, energy consumption.Load L (i, j) represents the load of the jth loading condition (handling) carried out in i-th accumulation period.Operating range D (i) represents the distance of the traveling in i-th accumulation period.Energy consumption E (i) represents from the energy consumption from electrical storage device discharge in i-th accumulation period.
The driving information such as handling number of times, load, operating range, energy consumption shown in Fig. 3 is pressed certain hour by vehicle-mounted management device 20, and such as every day is sent to handling labor management devices 50.
The processing equipment 51 of handling labor management devices 50 calculates the operating range of per unit handling number of times (hereinafter referred to as " handling operating range " during evaluating unit.) energy consumption EU (k) of DU (k), load LU (k) of per unit handling number of times, per unit handling total weight WU (k) of number of times and per unit handling number of times." during evaluating unit " is such as set to 1 day.Wherein, k is in order to sequence number additional during evaluating unit during identification and evaluation unit.
One example of the data calculated by handling labor management devices 40 shown in Fig. 4.If unit is loaded and unloaded number of times to be set to 1 time, then operating range DU (k) of per unit handling number of times is calculated divided by the aggregate value of loading and unloading number of times by the aggregate value of operating range D (i) by the multiple accumulation periods belonged to during a kth evaluation unit.The load of per unit handling number of times is calculated divided by the aggregate value of loading and unloading number of times by the aggregate value of the load L (i, j) by the multiple accumulation periods belonged to during a kth evaluation unit.That is, the average load of goods is referred to.
Total weight WU (k) of per unit handling number of times is calculated by following formula.
WU(k)=WV+LU(k)×(T1(K)/Tm(k))
Wherein, WV is vehicle weight, and T1 (k) is evaluating in during unit the time being in loading condition, Tm (k) be during evaluation unit in vehicle be in time of operative condition.At this, " operative condition " refers to the state of vehicle being carried out to some operation, such as, carry out advancing, retreat, the lifting of car fork, the tilting forward and back of the Gui bar of supporting car fork, stretch into, the state operating steering vehicle such as to stretch out.
Energy consumption EU (k) of per unit handling number of times is calculated divided by the aggregate value of loading and unloading number of times by the aggregate value of energy consumption E (i) by the multiple accumulation periods belonged to during a kth evaluation unit.The data calculated are stored in the storage part of processing equipment 51.
The load LU, the energy consumption EU that load and unload operating range DU, per unit handling number of times is stored during evaluating unit.
Processing equipment 51, by per unit being loaded and unloaded according to the total weight WU of per unit handling number of times and handling operating range DU the energy consumption EU normalisation of number of times, carrys out normalized energy consumption NEU.Specifically, normalized energy consumption NEU can be expressed as NEU (k)=EU (k)/(WU (k) × DU (k)).
In addition, when carrying out often only with the work that is object of identical goods, because total weight WU (k) change of per unit handling number of times is very little, so also only per unit can be loaded and unloaded according to handling operating range DU the energy consumption EU normalisation of number of times.Now, normalized energy consumption NEU can be expressed as NEU (k)=EU (k)/DU (k).
Processing equipment 51 will load and unload operating range DU (k) and normalized energy consumption NEU (k), and both is associated and is shown in read out instrument 52.
One example of image shown shown in Fig. 5.The longitudinal axis, for transverse axis being set to handling operating range DU, is set to normalized energy consumption NEU to mark and draw the diagram of curves of the computing value during each evaluation unit by the image of display.From the known handling of the diagram of curves shown in Fig. 5 operating range DU and normalized energy consumption NEU, there is the correlationship along with handling operating range DU elongated normalized energy consumption NEU reduces.
When carrying out handling labor, preferably consider the driving that as far as possible can reduce normalized energy consumption NEU.But, because normalized energy consumption NEU and handling operating range DU has correlationship, so the quality of preferably not considering to load and unload operating range DU and only judging driving according to the magnitude relationship of normalized energy consumption NEU.
Such as, in Fig. 5, will be DU with handling operating range
1, normalized energy consumption is NEU
1driving corresponding to some P and be DU with handling operating range
2, normalized energy consumption is NEU
2driving corresponding to some Q compare.The normalized energy consumption NEU of the driving corresponding with a Q
2be less than the normalized energy consumption NEU of the driving corresponding with a P
1.But handling operating range is DU
1the distribution of neighbouring normalized energy consumption NEU is DU than handling operating range
2the many sides of energy consumption are more partial in the distribution of neighbouring normalized energy consumption NEU.
The quality of driving preferably considers that the deflection of the distribution of this normalized energy consumption NEU judges.Like this, in the viewpoint of energy ezpenditure, driving that the some P more with normalized energy consumption the is corresponding driving more corresponding than the some Q few with normalized energy consumption can be judged more preferably.Like this, by considering handling operating range DU and judging that the quality of driving gets rid of the impact of the working environments such as broad degree in work area, the quality of driving can more suitably be judged.
Computing value during often evaluating unit, according to the correlationship of normalized energy consumption NEU with handling operating range DU, is divided into multiple region by processing equipment 51.In Fig. 5, each computing value is divided into A
1, A
2, A
33 regions.Such as, as shown in Figure 5, when normalized energy consumption NEU and handling operating range DU has the correlationship tilted to the right, the boundary line in each region is set to the curve tilted to the right.
Below, an example of the gimmick being divided into 3 regions is described.Obtain the standard deviation that institute's normalized energy consumption a little that handling operating range has value between DU and DU+ Δ DU distributes.By scope 3 decile of-3 σ of normalized energy consumption NEU to+3 σ.3 of 3 deciles scopes are defined as region A successively from the side that normalized energy consumption NEU is less
1, A
2, A
3.In the gamut of handling operating range DU, in kind defined range A
1, A
2, A
3.In addition, the scope that standard deviation is more more outward than-3 σ ~ 3 σ is contained in the zoning A at two ends
1or A
3.
Processing equipment 51 on read out instrument 52 so that the computing value of form display normalized energy consumption NEU of visual identification which region can be belonged to.In Fig. 5, region A will be belonged to
1, A
2, A
3point respectively with white circle, white triangles, cross symbols display.In addition, also can not use the shape of symbol and carry out dividing and representing with color.Such as, region A will can be belonged to
1, A
2, A
3point use blueness, green and red display respectively.
Supvr can by with can visual identification form display measuring point belong to the quality which region judges the driving corresponding with each measuring point like a cork.
In above-described embodiment 1, have employed the transverse axis of handling operating range DU as Fig. 5, but other parameters depending on working environment in the parameter calculated according to driving information also can be adopted as transverse axis.Like this, the parameter calculated according to driving information is called " operational situation parameter ".Such as, when conveying articles, handling labor vehicle travels on almost identical path, but in the working environment that the deviation of weight of the goods as object conveyor is larger and so on, if handling operating range DU to be set to the transverse axis of Fig. 5, then the lateral deviation of marking and drawing can diminish.
Now, per unit can be adopted to load and unload the transverse axis of load LU as Fig. 5 of number of times.Further, consider handling operating range DU constant, therefore only according to the total weight WU of per unit handling number of times, per unit can be loaded and unloaded the energy consumption EU normalisation of number of times.Now, normalized energy consumption NEU can be expressed as NEU (k)=EU (k)/WU (k).
Further, the load time of per unit handling number of times, load operation time, time of run or key opening time can be adopted as the transverse axis of Fig. 5.Wherein, " load time " refers to the time reaching loading condition.Car fork is static with the state of goods of slinging, and the time that vehicle shuts down also is contained in " load time "." time of run " refers to the time of operative condition.The time of pitching the vehicle operation under the state (no-load condition) not being loaded with pallet at car is also contained in " time of run "." load operation time " refers to and is in loading condition and the time being in operative condition." key opening time " refers to the time starting key and be unlocked.
In above-described embodiment 1, the longitudinal axis of Fig. 5 and normalized energy consumption NEU are calculated by energy consumption EU normalisation per unit being loaded and unloaded number of times, but also by the energy consumption of the energy consumption of per unit time of run, per unit load time, the energy consumption of per unit load operation time and per unit key open-interval energy consumption normalisation are calculated.
[embodiment 2]
Then, embodiment 2 is described.In above-described embodiment 1, during will evaluating unit, (such as 1 day) is as identifying object project, has carried out representing the calculating such as the energy consumption of driving information by during evaluation unit.During one is evaluated unit, the chaufeur of (1 day) handling labor vehicle is constant, when carrying out handling labor, can be thought of as the driving quality that the measuring point of 1 shown in Fig. 5 represents a chaufeur.
When multiple stage handling labor vehicle is driven in same area, the driving information shown in Fig. 4 is pressed handling labor vehicle and is generated.Now, as the unit (identifying object project) of normalized energy consumption during selecting handling labor vehicle and evaluation unit.That is, by handling labor vehicle, and normalized energy consumption NEU is calculated by during evaluation unit.
When during 1 is evaluated unit, the chaufeur of (1 day) handling labor vehicle is replaced, preferably " chaufeur " is also added in identifying object project, calculates standard energy consumption by chaufeur.Below, the method for calculating carried out according to chaufeur is described.
Chaufeur identification number is given in advance to each chaufeur.The instrument carrier panel 13 of the handling labor vehicle 10 shown in Fig. 1 is provided with chaufeur identification number input media.Chaufeur identification number input media is such as the numerical key for inputting numeral or touch panel etc.When driver handling labor vehicle, from the identification number of chaufeur identification number input media input oneself.The identification number of input is sent in the control setup 21 shown in Fig. 2, is stored in temporary storage part 23a.
An example of the driving information of accumulation period accumulation is pressed shown in Fig. 6.Below, the dissimilarity with the driving information shown in Fig. 3 is described.In example shown in Fig. 6, store chaufeur identification number by accumulation period.In the accumulation period of the 2nd shown in Fig. 3, when replacing with the chaufeur of identification number ID2 from the chaufeur of identification number ID1, as shown in Figure 6, the accumulation period of the 2nd of Fig. 3 the is separated into the 2nd accumulation period and the 3rd these 2 accumulation periods of accumulation period.By each accumulation period be separated, accumulation handling number of times, load, operating range and energy consumption.Shown in Fig. 3 3rd ~ 5 accumulation period respectively offsets 1 and becomes 4th ~ 6 accumulation periods respectively.When being 15 minutes by the length setting of 1 accumulation period, the 2nd and the 3rd accumulation period be shorter in length than 15 minutes.
One example of the driving information calculated by handling labor management devices 40 shown in Fig. 7.Below, the dissimilarity with the driving information shown in Fig. 4 is described.In example shown in Fig. 4, the length evaluated during unit is set to 1 day, is contained in the driving information normalized energy consumption etc. of the accumulation period during this evaluation unit by basis during evaluation unit.In example shown in Fig. 7, when being driven by multiple chaufeur in during 1 is evaluated unit, by chaufeur normalized energy consumption etc.
Such as, in during the 3rd is evaluated unit, when being driven by the chaufeur of identification number ID1 and the chaufeur of identification number ID2, to evaluate at the 3rd in during unit and to be set to 1 identifying object project No.3 by the driver-operated driving information of identification number ID1, and will be set to both 1 identifying object project No.4 distinguishes by the driver-operated driving information of identification number work D2 in during the 3rd is evaluated unit.
Like this, by pressing chaufeur normalized energy consumption NEU, the driving information mixing of the chaufeur preventing technical ability high and the low chaufeur of technical ability and the situation of equalization.
[embodiment 3]
Then, embodiment 3 is described.In embodiment 1, as shown in Figure 3, by the goods carried in accumulation period to store its load.In embodiment 3, load is by frequency data.
The accumulation schedule of the driving information made in embodiment 3 shown in Fig. 8.Below, the dissimilarity of the accumulation schedule with Fig. 3 is described.The load of goods is divided into and is less than L1 (kg), is more than or equal to L1 (kg) and is less than L2 (kg), is more than or equal to 3 stages of L2 (kg).The quantity of goods carried in this accumulation period is stored in by the zoning of load.
As embodiment 1, storing load to press goods, the storage area corresponding to the maximum quantity of the goods carried in 1 accumulation period must be guaranteed.Even if by storage area dynamic partition, if the quantity of the goods of conveying increases, then the size of the storage area that should distribute also can become large.In embodiment 3, because load is by frequency data, even if the quantity of goods of therefore conveying increases, the required size of storage area also can not change.
When the load of the per unit handling number of times shown in scaling system 4, consider that the goods of the representative load of this zoning is transported to the zoning of each load with the number of times of the frequency being equivalent to this zoning.Such as can adopt the central value representatively load of load scope.In addition, in the zoning at two ends, the deviation etc. that can be considered as the load of the goods of object conveyor decides to represent load.
[embodiment 4]
Then, embodiment 4 is described.In embodiment 1, in order to calculate energy consumption, measure the discharge current from electrical storage device.In embodiment 4, directly do not measure discharge current.Extract from the various driving informations beyond discharge current considerable influence brought to energy consumption information based on project.The decision of the extraction of elementary item and the Inference Model of energy consumption is by analyzing gimmick to the measurement result using multivariate of most driving information or data mining gimmick (using multiple regression analysis method, the neural network model of method of gradual regression) is carried out.
If decision Inference Model, then can by infer computing from based on the measured value of driving information that is extracted of project calculate energy consumption.Below, the example of Inference Model is described.
Energy consumption Et is inferred by following formula.
Et=a
1×(Ec+Er)……(1)
Wherein, Ec is the energy (handling energy) consumed to carry out goods lifting, and Er is the energy (traveling energy) consumed in order to vehicle travels, a
1it is the constant of the energy that the action in order to count beyond by the lifting of goods and vehicle traveling consumes." energy that the action beyond being travelled by the lifting of goods and vehicle consumes " such as comprises the energy consumed by power steering action, the energy etc. consumed by various control convenience.Because these energy consumptions are considerably less compared with all consumptions, so by ENERGY E r sum being multiplied by certain constant at handling ENERGY E c and counting and replace measuring individually with travelling.Constant a
1be about 1.03.
Handling ENERGY E c is inferred by following formula.
Ec=Tc×{a
2+a
3×(Mm+LU)}……(2)
Wherein, the total of the loadingunloading time of carrying out in during Tc is unit, Mm is the weight of the lifting part (Gui bar) when being elevated under the state of being unkitted goods, and LU is the load of the per unit handling number of times shown in Fig. 4.A
2and a
3it is constant." loadingunloading time " refers to time of the lifting action carrying out Gui bar.
Travel ENERGY E r to be inferred by following formula.
Er=Tr×{a
4+a
5×(Mf+a
6×Ra)}……(3)
Mf=Mfo+LU×(Trc/Tr)……(4)
Wherein, the time (running time) travelled in during Tr is unit, Mfo is vehicle weight when not being loaded with goods, and Trc is the time (load time) containing goods traveling during unit, and Ra is that acceleration/accel exceedes rate.Acceleration/accel exceedes the ratio of time relative to overall travel time that rate Ra is above regulation acceleration/accel traveling.The acceleration/accel of regulation is predetermined.A
4, a
5, a
6it is constant.
The Inference Model comprising deduction formula (1) ~ (4) is stored in the processing equipment 51 of handling labor management devices 50.The weight Mm of Gui bar is measured in advance.Loadingunloading time Tc, running time Tr, load time Trc are determined in driving.As illustrated with reference to figure 4, the load LU of per unit handling number of times can be calculated by cargo load and handling number of times.Processing equipment 51, according to these driving informations, obtains the energy consumption EU of per unit handling number of times by deduction computing.
The difference having confirmed the discharge rate that the discharge rate of the electrical storage device utilizing above-mentioned Inference Model to infer and practical measurement discharge current are obtained be limited in discharge rate calculated by practical measurement discharge current ± less than 10%.
In embodiment 4, energy consumption can be obtained without the need to configuring amperemeter/ammtr on handling labor vehicle.
In above-described embodiment 1 ~ embodiment 4, be connected to handling labor management devices 50 (Fig. 2) and handling labor vehicle 10 by network 40, but also handling labor management devices 50 can be equipped on handling labor vehicle 10.
Along describing the present invention according to embodiment above, but the invention is not restricted to these.Such as, can carry out various change, improvement, combination etc., this is apparent to those skilled in the art.
Claims (2)
1. a management devices for handling labor vehicle, has:
Processing equipment, the driving information that described processing equipment obtains according to the handling labor vehicle travelled from goods of slinging, calculate energy consumption and depend on the operational situation parameter of working environment, and according to the size of the operational situation parameter calculated, described energy consumption normalisation is carried out normalized energy consumption
Described processing equipment calculates described operational situation parameter and normalized energy consumption by identifying object project, the axle of one side is set to the operating range of per unit handling number of times, the axle of the opposing party is set to described normalized energy consumption, and display is by the diagram of curves of the computing value of described identifying object project plotting on the display apparatus.
2. the management devices of handling labor vehicle as claimed in claim 1, wherein,
Described identifying object project be selected from by during a certain period is divided into multiple evaluation unit time each evaluation unit during, at least one item in the group that forms of handling labor vehicle and the chaufeur of driving handling labor vehicle.
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JP2007197129A (en) * | 2006-01-25 | 2007-08-09 | Toyota Industries Corp | Control system of industrial vehicle for loading and unloading, control device, and industrial vehicle for loading and unloading |
JP4898487B2 (en) * | 2007-02-21 | 2012-03-14 | 三菱重工業株式会社 | Industrial vehicle operation management method and system |
JP4997011B2 (en) * | 2007-07-25 | 2012-08-08 | 日立オートモティブシステムズ株式会社 | Automotive fuel consumption estimation system, route search system, and driving guidance system |
JP2009256081A (en) * | 2008-04-21 | 2009-11-05 | Toyota Industries Corp | Control system of industrial vehicle for cargo handling |
JP5339811B2 (en) * | 2008-08-01 | 2013-11-13 | ユニキャリア株式会社 | Battery-powered work vehicle operating state detection device |
-
2010
- 2010-11-15 JP JP2010254458A patent/JP5683223B2/en active Active
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2011
- 2011-11-09 CN CN201110353494.8A patent/CN102583197B/en not_active Expired - Fee Related
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JP2012101934A (en) | 2012-05-31 |
JP5683223B2 (en) | 2015-03-11 |
CN102583197A (en) | 2012-07-18 |
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