CN111461568A - Method for evaluating performance of strip mine truck - Google Patents
Method for evaluating performance of strip mine truck Download PDFInfo
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Abstract
The invention discloses a method for evaluating the performance of a truck in an open pit, which can obtain truck performance indexes such as truck yield, average energy consumption, operation stability, average efficiency, truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, hopper lifting and reversing alarm, parking brake alarm and the like by analyzing the state parameters of the truck and processing the state parameters, and comprehensively evaluate the performance, the economy and the operation level of a driver of the truck according to the performance indexes.
Description
Technical Field
The invention belongs to the energy industry, and particularly relates to a method for evaluating the performance of a strip mine truck, which is suitable for analyzing the performance of the strip mine truck, the economic analysis of the strip mine truck and the operation level of a driver of the strip mine truck.
Background
With the advance of industry 4.0, scientific evaluation on the operation performance of important equipment is urgently needed in an open-pit mine, an open-pit mine truck is important equipment influencing open-pit mine production, a scientific evaluation method is not provided at present, and how to scientifically evaluate the performance of the truck by utilizing real-time state data of open-pit mine truck equipment after processing becomes a technical difficulty in the industry.
Disclosure of Invention
The invention aims to provide a method for evaluating the performance of a truck in an open-pit mine.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for evaluating the performance of a truck in an open pit comprises the following steps:
1) collecting real-time data of truck operation
Collecting real-time data of truck operation, wherein the real-time data comprises truck GPS longitude KCJD, truck latitude KCWD, electric shovel GPS longitude DCJD, electric shovel latitude DCWD, truck speed KCSD, GPS vehicle speed GPSCS, truck lifting KCJD, engine speed FDJZS, parking brake ZCZD and generator net power JG L real-time data;
2) processing real-time data
Obtaining truck yield C L, average energy consumption PJNH, operation stability CZPWX, average efficiency PJX L, total electric power consumption ZHD L, total mileage Z L CS, accumulated acceleration L JJJSD, total driving time ZJSJ, truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and reversing alarm and parking brake alarm performance indexes by processing the real-time data of the truck for the second time;
3) establishing a radar chart for evaluating the performance of a truck
Performing radar map analysis on truck performance indexes such as truck yield, average energy consumption, operation stability, average efficiency, safety index and the like obtained by secondary processing to obtain a truck performance evaluation system;
4) evaluating truck performance and truck driver operating level
And (4) carrying out real-time scoring according to the radar map of the truck performance, and evaluating the truck performance and the operation level of a driver.
The further improvement of the invention is that in the step 2), the calculation formula of the performance index is as follows:
truck production, the calculation formula is as follows:
truck yield number × 220T
Wherein 220 is the full load of the truck;
average energy consumption, the calculation formula is:
PJNH＝ZHDL÷ZLCS
ZHD L is realized through accumulation of JG L and calculation interval duration;
z L CS is realized by accumulating KCSD and calculation interval duration;
the operation stability is calculated by the following formula:
CZPWX＝LJJSD÷ZJSSJ
l JJSD is realized by continuously accumulating | KCSD _1-KCSD | in each calculation period, KCSD _1 is KCSD 1 second before the calculation time, ZJSJ is realized by continuously accumulating the calculation period duration when KCSD >0 in each calculation period;
the average efficiency is calculated by the formula:
PJXL＝ZJSSJ÷CL
the safety index is the sum of alarm times of equipment such as truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and reversing alarm, parking brake alarm and the like, and the lower the value, the safer the value is;
(1) overspeed alarm: alarming when KCSD is greater than 32 km/h;
(2) and (3) spinning wheel alarming: taking KCSD 8 seconds before the calculation time, counting as KCSD _8, and alarming if KCSD _8 is greater than 5 and the calculation time GPSCS is 0;
(3) and (4) alarming without preheating: starting timing when the FDJZS rises from 0 to 700, and alarming if the timing is more than 0 KCSD within 5 minutes;
(4) accelerating and decelerating and emergency alarming: taking the KCSD 1 second before the calculation time, counting as KCSD _1, and giving an alarm if the calculation time | KCSD _1-KCSD | is larger than 5;
(5) lifting the hopper and backing a car to alarm: when KCJD is 1, alarming if KCSD < -0.5 km/h;
(6) number of parking brake errors: when ZCZD is 1, alarm if KCSD | > 0.
The invention has the following beneficial technical effects:
by analyzing the state parameters of the truck, the truck performance indexes such as truck yield, average energy consumption, operation stability, average efficiency, truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, hopper lifting and reversing alarm, parking brake alarm and the like can be obtained after the state parameters are processed, and the performance, the economy and the truck driver operation level of the truck are comprehensively evaluated through the performance indexes.
Drawings
FIG. 1 is a radar chart for truck performance evaluation;
FIG. 2 is a graph of throughput;
FIG. 3 is a graph of operational stationarity;
FIG. 4 is a graph of energy consumption for this class;
FIG. 5 is a graph of driving range for this shift;
FIG. 6 is a graph of average efficiency;
fig. 7 is a safety index graph.
Detailed Description
The invention is further described below with reference to the following figures and examples.
The invention provides a method for evaluating the performance of a truck in an open-pit mine, which comprises the following steps:
1. collecting real-time data of truck operation
Real-time data of truck operation is collected, and comprises real-time data of truck GPS longitude KCJD, truck latitude KCWD, electric shovel GPS longitude DCJD, electric shovel latitude DCWD, truck speed KCSD, GPS vehicle speed GPSCS, truck lifting KCJD, engine speed FDJZS, parking brake ZCZD and generator net power JG L.
2. Processing real-time data
Obtaining truck yield C L, average energy consumption PJNH, operation stability CZPWX, average efficiency PJX L, total electric power consumption ZHD L, total mileage Z L CS, accumulated acceleration L JJJJSD, total driving time ZJSJ, truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and backing alarm and parking brake alarm performance indexes by processing the real-time data of the truck for the second time, wherein the calculation formula of the performance indexes is as follows:
1) truck production
The GPS longitude and latitude coordinates of the truck and the electric shovel and the speed information of the truck are used for calculating the yield of the truck, and the yield of the truck is calculated according to the following steps:
(1) calculating the distance between the truck and the electric shovel:
(2) determine "loaded" state:
assume a loading radius of 20 meters (adjustable). The timing is started when the distance between the truck and the shovel is less than the loading radius and KCSD < 1. When the time is more than 40 seconds (adjustable), the truck is determined to be in a loading state, and the loading state is set to be 1. When the distance between the truck and the electric shovel is larger than the loading radius, the 'loading state' is set to 0, and the time is also set to 0.
(3) Counting the number of truck output vehicles:
firstly, the central point of the unloading area is determined by using GPS coordinates, then the radius of the unloading area is determined by taking the central point as the center, and the unloading area is planned into a circular area. And replacing the positioning coordinates of the electric shovel with the coordinates of the central point of the unloading area by using a formula of calculating the distance between the electric shovel and the truck, and judging that the electric shovel enters the unloading area if the distance between the truck and the central point is smaller than the radius of the unloading area. When the "loading state" is set to 1, the associated "production calculation state" is also set to 1, but when the "loading state" is set to 0, the "production calculation state" is not set to 0. When the "production calculation state" is equal to 1 and the GPS position of the truck is in the unloading area while detecting that KCJD is 1, the "production calculation state" is set to 0 and the number of produced vehicles of the vehicle is increased by 1. When the "yield calculation state" is equal to 1 and the GPS position of the truck is not in the unloading area while KCJD is detected to be 1, the yield calculation state is set to 0 and the number of abnormal yield vehicles of the vehicle is increased by 1.
(4) Calculating the yield of the truck:
truck yield number × 220T
Wherein 220 is the full load of the truck.
2) Average energy consumption
The average energy consumption is counted and calculated by taking the shift as a period, and the average energy consumption is emptied and recalculated when each shift is finished, so that the smaller the value is, the smaller the energy consumption is.
The calculation formula is as follows:
PJNH＝ZHDL÷ZLCS
ZHD L is realized through accumulation of JG L and calculation interval duration;
z L CS is cumulatively implemented by KCSD and the calculation interval duration.
3) Operational stationarity
The operating smoothness is the rate of change of the truck speed, and the smoother the rate of change, the better the operating smoothness of the truck driver. The operation stability is counted and calculated by taking the number of shifts as a period, and the emptying and recalculation are carried out when each shift is finished, so that the smaller the value is, the more stable the value is.
The calculation formula is as follows:
CZPWX＝LJJSD÷ZJSSJ。
l JJSD is realized by continuously accumulating | KCSD _1-KCSD | in each calculation period, KCSD _1 is KCSD 1 second before the calculation time, and ZJSJ is realized by continuously accumulating the calculation period duration when KCSD >0 in each calculation period.
4) Average efficiency
The average efficiency of the truck is counted and calculated by taking a shift as a period, and the average efficiency is higher when each shift is finished and is emptied and recalculated.
The calculation formula is as follows:
PJXL＝ZJSSJ÷CL
5) safety index
The truck safety index is the sum of alarm times of equipment such as truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and reversing alarm, parking brake alarm and the like, and the lower the value, the safer the value.
(1) Overspeed alarm: and alarming when the KCSD is greater than 32 km/h.
(2) And (3) spinning wheel alarming: and taking the KCSD 8 seconds before the calculation time, counting as KCSD _8, and alarming if the KCSD _8 is greater than 5 and the calculation time GPSCS is 0.
(3) And (4) alarming without preheating: and counting the time when the FDJZS rises from 0 to 700, and alarming if the counted time is KCSD >0 within 5 minutes.
(4) Accelerating and decelerating and emergency alarming: and taking the KCSD 1 second before the calculation time as KCSD _1, and giving an alarm if the calculation time | KCSD _1-KCSD | is larger than 5.
(5) Lifting the hopper and backing a car to alarm: when KCJD is 1, alarm if KCSD < -0.5 km/h.
(6) Number of parking brake errors: when ZCZD is 1, alarm if KCSD | > 0.
3. Establishing a radar chart for evaluating the performance of a truck
As shown in fig. 1, radar map analysis is performed on truck performance indexes such as truck yield, average energy consumption, operation stability, average efficiency, safety index and the like obtained by secondary processing, so as to obtain a truck performance evaluation system.
The truck data model shows five indexes of truck yield, average energy consumption, operation stability, average efficiency, safety index and the like in the form of radar maps, wherein the radar maps are filled more fully when the yield is higher, the radar maps are filled more fully when the operation stability value is smaller, the radar maps are filled more fully when the average energy consumption is smaller, the radar maps are filled more fully when the average efficiency is smaller, and the radar maps are filled more fully when the safety index is smaller. The larger the radar plot overall fill area, the better the truck performance.
4. Evaluation of truck Performance and actual operating level
And (4) carrying out real-time scoring according to the radar map of the truck performance, and evaluating the truck performance and the operation level of a driver. The performance indexes are respectively plotted, and the truck performance and the operation level of a truck driver can be analyzed through the curves.
As shown in FIGS. 2 and 3, the yield curve and the smoothness curve of the operation of the current shift are plotted.
The average energy consumption curves are respectively drawn with the energy consumption and the driving mileage of the shift, as shown in fig. 4 and 5.
In addition, an average efficiency curve and a safety index curve are included, as shown in fig. 6 and 7.
Claims (2)
1. A method for evaluating the performance of a truck in a strip mine is characterized by comprising the following steps:
1) collecting real-time data of truck operation
Collecting real-time data of truck operation, wherein the real-time data comprises truck GPS longitude KCJD, truck latitude KCWD, electric shovel GPS longitude DCJD, electric shovel latitude DCWD, truck speed KCSD, GPS vehicle speed GPSCS, truck lifting KCJD, engine speed FDJZS, parking brake ZCZD and generator net power JG L real-time data;
2) processing real-time data
Obtaining truck yield C L, average energy consumption PJNH, operation stability CZPWX, average efficiency PJX L, total electric power consumption ZHD L, total mileage Z L CS, accumulated acceleration L JJJSD, total driving time ZJSJ, truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and reversing alarm and parking brake alarm performance indexes by processing the real-time data of the truck for the second time;
3) establishing a radar chart for evaluating the performance of a truck
Performing radar map analysis on truck performance indexes such as truck yield, average energy consumption, operation stability, average efficiency, safety index and the like obtained by secondary processing to obtain a truck performance evaluation system;
4) evaluating truck performance and truck driver operating level
And (4) carrying out real-time scoring according to the radar map of the truck performance, and evaluating the truck performance and the operation level of a driver.
2. The method for evaluating the performance of the truck for the open pit according to claim 1, wherein in the step 2), the calculation formula of the performance index is as follows:
truck production, the calculation formula is as follows:
truck yield number × 220T
Wherein 220 is the full load of the truck;
average energy consumption, the calculation formula is:
PJNH＝ZHDL÷ZLCS
ZHD L is realized through accumulation of JG L and calculation interval duration;
z L CS is realized by accumulating KCSD and calculation interval duration;
the operation stability is calculated by the following formula:
CZPWX＝LJJSD÷ZJSSJ
l JJSD is realized by continuously accumulating | KCSD _1-KCSD | in each calculation period, KCSD _1 is KCSD 1 second before the calculation time, ZJSJ is realized by continuously accumulating the calculation period duration when KCSD >0 in each calculation period;
the average efficiency is calculated by the formula:
PJXL＝ZJSSJ÷CL
the safety index is the sum of alarm times of equipment such as truck overspeed alarm, spinning wheel alarm, non-preheating alarm, acceleration and deceleration emergency alarm, bucket lifting and reversing alarm, parking brake alarm and the like, and the lower the value, the safer the value is;
(1) overspeed alarm: alarming when KCSD is greater than 32 km/h;
(2) and (3) spinning wheel alarming: taking KCSD 8 seconds before the calculation time, counting as KCSD _8, and alarming if KCSD _8 is greater than 5 and the calculation time GPSCS is 0;
(3) and (4) alarming without preheating: starting timing when the FDJZS rises from 0 to 700, and alarming if the timing is more than 0 KCSD within 5 minutes;
(4) accelerating and decelerating and emergency alarming: taking the KCSD 1 second before the calculation time, counting as KCSD _1, and giving an alarm if the calculation time | KCSD _1-KCSD | is larger than 5;
(5) lifting the hopper and backing a car to alarm: when KCJD is 1, alarming if KCSD < -0.5 km/h;
(6) number of parking brake errors: when ZCZD is 1, alarm if KCSD | > 0.
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