CN118800066B - A high-density low-speed vehicle dispatching and management system - Google Patents
A high-density low-speed vehicle dispatching and management system Download PDFInfo
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- 239000003245 coal Substances 0.000 claims abstract description 36
- 239000000428 dust Substances 0.000 claims abstract description 34
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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Abstract
本发明涉及车辆调度领域，尤其涉及一种高密度低速车辆调度管理系统，包括：数据采集单元，用以采集关键点的工作量参考值和各运输路线的工作车辆数量与粉尘浓度；数据分析单元，用以根据关键点状态确定运输调节方式，以及通过流畅差异值确定是否针对超车优先系数进行设置或针对任务执行系数进行调节，以及根据车辆数量确定任务执行系数的调节方式；调节补偿单元，用以执行运输调节方式和检测周期调节，以及根据粉尘浓度确定是否针对车辆速度进行调节；实时处理单元，用以确定各运输路线的综合评估系数，并根据各运输路线的综合评估系数对各运输路线的分配优先系数进行初始设置；显示单元；本发明提高了露天煤矿内的车辆调度效率。
The present invention relates to the field of vehicle dispatching, and in particular to a high-density low-speed vehicle dispatching and management system, comprising: a data acquisition unit, used for collecting workload reference values of key points and the number of working vehicles and dust concentration of each transport route; a data analysis unit, used for determining a transport adjustment mode according to the key point state, and determining whether to set an overtaking priority coefficient or adjust a task execution coefficient through a smooth difference value, and determining an adjustment mode of the task execution coefficient according to the number of vehicles; an adjustment compensation unit, used for executing the transport adjustment mode and the detection cycle adjustment, and determining whether to adjust the vehicle speed according to the dust concentration; a real-time processing unit, used for determining a comprehensive evaluation coefficient of each transport route, and initially setting the allocation priority coefficient of each transport route according to the comprehensive evaluation coefficient of each transport route; and a display unit. The present invention improves the vehicle dispatching efficiency in an open-pit coal mine.
Description
Technical Field
The invention relates to the field of vehicle dispatching, in particular to a high-density low-speed vehicle dispatching management system.
Background
The vehicle dispatching is to optimize the transportation efficiency and resource allocation in the actual working scene by adjusting the transportation state and route selection of the vehicle, and the vehicle dispatching management system in the coal mine can effectively optimize the safety and the operation cost of the transportation process, but the current vehicle dispatching management system for the coal mine usually only dispatches the working vehicle according to the loading condition of the vehicle and the idle condition of the loader, cannot judge the factors influencing the transportation efficiency according to the workload of the coal loading point and the coal unloading point in the coal yard and the change condition thereof, and makes targeted adjustment on the transportation process, thereby causing the low transportation efficiency of the working vehicle in the opencast coal mine, so how to make targeted adjustment on the transportation process according to the different conditions of the actual application scene, thereby improving the transportation efficiency of the working vehicle in the coal mine is a problem to be solved urgently by the technicians in the field.
The Chinese patent publication No. CN116362506A discloses a digital coal yard management system and method, which are used for dispatching working vehicles and monitoring on-site actual conditions in real time by acquiring the coal deficiency of different storage areas of a coal mine and the working conditions of loading and unloading equipment, so that the safety, the digitalization and the controllability of the coal yard management are realized, but the problems of low running speed of the vehicles in an opencast coal mine, high vehicle density and poor transportation process efficiency of the working vehicles are caused, and the problem of incapacity of the actual working conditions of loading and unloading points of actual application scenes in the vehicle dispatching to carry out targeted adjustment on the transportation process is caused, so that the transportation mode cannot cope with the change of the actual application scenes, and the transportation efficiency of the working vehicles in the coal mine is low.
Disclosure of Invention
Therefore, the invention provides a high-density low-speed vehicle dispatching management system, which is used for solving the problems that in the prior art, the actual working condition of a loading and unloading point of an actual application scene cannot be considered in vehicle dispatching to carry out targeted adjustment on a transportation process, so that the transportation mode cannot cope with the change of the actual application scene, and the transportation efficiency of working vehicles in a coal mine is low.
In order to achieve the above object, the present invention provides a high-density low-speed vehicle scheduling management system comprising:
the data acquisition unit is used for periodically acquiring the workload reference value of the key points, the number of working vehicles and the dust concentration of each transport route and monitoring the illegal behaviors of the working vehicles in real time;
The data analysis unit is connected with the data acquisition unit and is used for determining a key point state according to the workload reference value and the workload fluctuation value, determining a transportation adjustment mode according to the key point state, determining whether to set a overtaking priority coefficient or adjust a task execution coefficient through a fluent difference value and determining an adjustment mode of the task execution coefficient according to the number of vehicles;
The adjusting and compensating unit is connected with the data analyzing unit and the data collecting unit and is used for executing a transportation adjusting mode and detecting period adjustment and determining whether to adjust the speed of the vehicle according to the dust concentration;
The real-time processing unit is connected with the data acquisition unit and the adjustment compensation unit and is used for determining comprehensive evaluation coefficients of all the transportation routes according to the vehicle duty ratio, the jolt area duty ratio and the loosening coefficient of the coal loading of the vehicle to be assigned of the transportation routes of the key points and the corresponding associated key points, and initially setting the distribution priority coefficient of all the transportation routes according to the comprehensive evaluation coefficients of all the transportation routes;
And the display unit is connected with the data acquisition unit and each working vehicle and is used for displaying the working information of each vehicle, displaying the position of the illegal vehicle in real time and giving an alarm.
Further, the data analysis unit periodically acquires a workload reference value and a workload fluctuation value of each key point to determine a key point state, wherein the key point state comprises that the workload reference value is smaller than a preset workload reference value, or the workload reference value is larger than or equal to the preset workload reference value and the workload fluctuation value is larger than the preset workload fluctuation value.
Further, the data analysis unit respectively carries out transportation adjustment analysis on each key point, wherein the transportation adjustment analysis is to determine a transportation adjustment mode of the key point according to the state of the key point corresponding to the key point, and the transportation adjustment mode comprises adjustment on overtaking priority coefficients or task execution coefficients of a class of vehicles and a class of vehicles corresponding to the class of key point or adjustment on vehicle speed.
Further, the data analysis unit determines whether to set the overtaking priority coefficient or adjust the task execution coefficient according to the fluency difference value of the related routes of the key points and the related key points corresponding to the key points.
Further, the data analysis unit sets overtaking priority coefficients of the first-class vehicles and the second-class vehicles corresponding to the first-class key points;
the numerical value of the overtaking priority coefficient and the quantity ratio of the smoothly associated key points are in positive correlation;
and marking the associated key points with the workload reference value being greater than or equal to the preset workload reference value as smooth associated key points.
Further, the data analysis unit determines whether to adjust route distribution coefficients corresponding to the key points or adjust task interval coefficients according to the number of vehicles in the transportation routes of the key points;
The regulating value of the route distribution coefficient and the number of vehicles in the transportation route are in positive correlation;
And the regulating value of the task interval coefficient is in negative correlation with the number of vehicles in the transportation route.
Further, the real-time processing unit determines comprehensive evaluation coefficients of the transportation routes according to the vehicle duty ratio, the jolt area duty ratio and the loosening coefficient of the coal loaded by the vehicle to be assigned of the transportation routes corresponding to the key points, and the adjusting and compensating unit initially sets the distribution priority coefficient of the transportation routes according to the comprehensive evaluation coefficients of the transportation routes.
Further, the adjusting and compensating unit determines whether to adjust the speed of the working vehicle according to the dust concentration of the transportation route corresponding to the second-class key points, and if the dust concentration is greater than or equal to the preset dust concentration, the adjusting and compensating unit judges that the speed of the working vehicle of the transportation route corresponding to the second-class key points is reduced and adjusted;
The reduction value of the working vehicle speed and the dust concentration are in positive correlation.
Further, the data acquisition unit records the illegal vehicles in the transportation route and transmits corresponding vehicle information to the display unit in real time.
Further, the adjustment compensation unit detects the number of key points with the fluctuation value of the workload larger than the fluctuation value of the preset workload, and records the number as the period reference number;
If the period reference number is larger than the preset period reference number, the adjustment compensation unit judges that the reduction adjustment is carried out for the detection period;
the difference value between the reduced value of the detection period and the period reference number is a positive correlation;
the difference value of the period reference value number is the absolute value of the difference value of the period reference number and the preset period reference number.
Compared with the prior art, the method has the beneficial effects that the key point state is determined according to the workload reference value and the workload fluctuation value in the technical scheme, the key point state can reflect the unloading amount of the key point and the unloading amount change condition along with the time course, and different transportation regulation modes are selected according to different key point states so as to carry out targeted regulation, and the transportation regulation modes are more in line with the actual application scene, so that the transportation efficiency of vehicles in an opencast coal mine is effectively improved.
Further, the data analysis unit determines the fluency difference value of the relevant route according to the number of the working vehicles reaching the key points and the corresponding relevant key points through the relevant route in the detection period, reflects the vehicle quantity balance degree of the working route between the key points and the corresponding relevant key points through the numerical value of the fluency difference value, and adjusts the overtaking priority coefficient aiming at one type of vehicles and two types of vehicles of the key points under the condition of unbalanced quantity, so that the problem of aggravation of road congestion caused by direct adjustment of the overtaking priority coefficient when the relevant route is blocked is avoided.
Further, the data analysis unit analyzes the number of vehicles in each transportation route corresponding to each type of key points respectively to represent the balance degree of the vehicles in each transportation route corresponding to each type of key points, adjusts route distribution coefficients aiming at the unbalanced condition so as to improve the road use efficiency, and adjusts the task interval coefficients aiming at the balanced condition so as to avoid the problem that the number of vehicles is difficult to meet the production requirements of actual road bearing capacity or coal unloading points of coal mines due to overlarge or undersize task issuing intervals, thereby improving the vehicle dispatching efficiency.
Further, the comprehensive evaluation coefficient is obtained according to various factors in actual conditions, the distribution priority coefficient of the transportation route is initially set according to the comprehensive evaluation coefficient, the distribution priority coefficient of the transportation route is readjusted according to the key points and the number of vehicles in the transportation route corresponding to the key points, and the distribution priority coefficient of the transportation route is adjusted twice, so that various influencing factors are fully considered, the smooth operation of the transportation route is ensured, the probability of accidents in the transportation process is reduced, the route distribution is more reasonable, and the transportation efficiency of the vehicles in the system is improved.
Furthermore, each transport route in the coal mine is set to pass in one direction, the overtaking area is reserved according to the width of the actual transport route and the width of the working vehicle, and the overtaking area is reserved, so that smooth completion of overtaking behavior is ensured, safety of the working vehicle when overtaking behavior is executed is ensured, working efficiency of the working vehicle when overtaking behavior is executed is improved, and transport efficiency of the working vehicle is further improved.
Drawings
FIG. 1 is a block diagram of a low density vehicle dispatch management system of the present invention;
FIG. 2 is a flow chart of a transportation adjustment method for determining a key point according to the state of the key point corresponding to the key point;
FIG. 3 is a flow chart of the invention for determining whether to adjust route allocation coefficients corresponding to a type of key points or to adjust task interval coefficients according to the number of vehicles in a transportation route of each type of key points;
FIG. 4 is a schematic illustration of a transportation route according to the present invention;
in the figure, a reserved overtaking area 1, a normal running area 2 and an interval schematic line 3 are reserved.
Detailed Description
The invention will be further described with reference to examples for the purpose of making the objects and advantages of the invention more apparent, it being understood that the specific examples described herein are given by way of illustration only and are not intended to be limiting.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In addition, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, integrally connected, mechanically connected, electrically connected, directly connected, indirectly connected through an intermediate medium, or in communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 to 3, the present invention provides a high-density low-speed vehicle dispatching management system, comprising:
the data acquisition unit is used for periodically acquiring the workload reference value of the key points, the number of working vehicles and the dust concentration of each transport route and monitoring the illegal behaviors of the working vehicles in real time;
The data analysis unit is connected with the data acquisition unit and is used for determining a key point state according to the workload reference value and the workload fluctuation value, determining a transportation adjustment mode according to the key point state, determining whether to set a overtaking priority coefficient or adjust a task execution coefficient through a fluent difference value and determining an adjustment mode of the task execution coefficient according to the number of vehicles;
The adjusting and compensating unit is connected with the data analyzing unit and the data collecting unit and is used for executing a transportation adjusting mode and detecting period adjustment and determining whether to adjust the speed of the vehicle according to the dust concentration;
The real-time processing unit is connected with the data acquisition unit and the adjustment compensation unit and is used for determining comprehensive evaluation coefficients of all the transportation routes according to the vehicle duty ratio, the jolt area duty ratio and the loosening coefficient of the coal loading of the vehicle to be assigned of the transportation routes of the key points and the corresponding associated key points, and initially setting the distribution priority coefficient of all the transportation routes according to the comprehensive evaluation coefficients of all the transportation routes;
And the display unit is connected with the data acquisition unit and each working vehicle and is used for displaying the working information of each vehicle, displaying the position of the illegal vehicle in real time and giving an alarm.
The invention uses the scene to dispatch the working vehicle in the opencast coal mine, the data acquisition unit collects the position information and speed information of a plurality of vehicles in the coal mine in real time through the GPS positioning system, the weight sensor installed on the working vehicle detects the weight of the coal mine loaded by the working vehicle, the model of the sensor is not specifically set, the working vehicle is selected by the customer according to the actual situation, the behavior of the working vehicle against the transportation rule in the working site is detected through the monitoring device, the dust concentration of the opencast coal mine is detected through the dust measuring instrument, the model, the number and the position of the dust measuring instrument are not specifically limited, but one or a plurality of dust measuring instruments need to be ensured to exist in each transportation route, the model, the number, the position and the distance between the adjacent devices of the monitoring device are not specifically limited, the user sets up adaptively according to actual scene and actual demand, the setting position of dust apparatus is the transport route in the open pit, transport route in the invention is the road that the colliery inner working vehicle can pass through, and it is unidirectional to pass through, GPS positioning system that the invention uses, weight sensor and dust apparatus use method are the content that the person skilled in the art easily understand, do not repeated here, there are several vehicles in the open pit of the invention, the working vehicle is the working vehicle of the transport colliery, the working vehicle is divided into a kind of vehicle and second kind of vehicle, a kind of vehicle is the manual driving vehicle, second kind of vehicle is the unmanned vehicle, there are auxiliary vehicles such as the watering lorry, road roller, fuzzard car in the open pit, the said key point is coal mine loading point and colliery unloading point in the open pit in the invention.
Specifically, when each detection period of the data analysis unit is finished, acquiring a workload reference value and a workload fluctuation value of each key point to determine a key point state of each key point, wherein the key point state comprises a first key point state and a second key point state;
the first preset key point state is that the workload reference value is smaller than the preset workload reference value;
the second preset key point state is that the workload reference value is larger than or equal to the preset workload reference value and the workload fluctuation value is larger than the preset workload fluctuation value;
The first type of key points are key points in a first key point state, and the second type of key points are key points in a second key point state;
The method comprises the steps that for a single key point, a workload reference value is the number of working vehicles driven by the key point in a current detection period, a workload fluctuation value is the absolute value of the difference value between the workload reference value of the current detection period of the key point and the workload reference value of the last detection period, the numerical value of the preset workload reference value is set according to a historical record and actual requirements, the larger the workload requirement of the user on the key point is, the larger the preset workload reference value is, a value taking mode of the preset workload reference value is provided, the preset workload reference value is the average value of the workload of the key point meeting the workload requirement of the user in the historical record, the numerical value setting of the preset workload fluctuation value is provided, the larger the stability requirement of the user on the workload of the key point is, the smaller the preset workload fluctuation value is provided, and the value taking of the preset workload fluctuation value is 5.
Specifically, the data analysis unit performs transportation adjustment analysis on each key point, wherein the transportation adjustment analysis is to determine a transportation adjustment mode of the key point according to the state of the key point corresponding to the key point, and the transportation adjustment mode comprises adjustment on overtaking priority coefficients or task execution coefficients of a class of vehicles and a class of vehicles corresponding to the class of key point or adjustment on vehicle speed.
When the key point state is a first key point state, the overtaking priority coefficients or the task execution coefficients of the first-class vehicles and the second-class vehicles corresponding to the first-class key point are adjusted, and when the key point state is a second key point state, the vehicle speed is adjusted.
Specifically, the data analysis unit determines whether to set a overtaking priority coefficient or adjust a task execution coefficient according to the fluency difference value of the related routes of the key points and the related key points corresponding to the key points.
The related key points are all key points of which related routes exist with the key points, one or more related key points can exist in the key points, the related routes are overlapped route paragraphs in the transportation routes reaching the two key points, and the fluency difference value is an absolute value of a difference value between the number of working vehicles reaching the key points through the related routes and the number of working vehicles reaching the corresponding related key points through the related routes;
When the fluency difference value of the related routes of the key points and the related key points corresponding to the key points is larger than the preset fluency difference value, setting is carried out aiming at the overtaking priority coefficient, when the fluency difference value of the related routes of the key points and the related key points corresponding to the key points is smaller than or equal to the preset fluency difference value, adjusting is carried out aiming at the task execution coefficient, the numerical value setting of the preset fluency difference value can be carried out according to the historical record and the actual requirement, the higher the requirement of the user on the equilibrium degree among the key points is, the smaller the preset fluency difference value is, the value of the preset fluency difference value is provided, and the value of the preset fluency difference value is 5.
Specifically, the data analysis unit sets overtaking priority coefficients of a class of vehicles and a class of vehicles corresponding to a class of key points;
the numerical value of the overtaking priority coefficient and the quantity ratio of the smoothly associated key points are in positive correlation;
and marking the associated key points with the workload reference value being greater than or equal to the preset workload reference value as smooth associated key points.
The method comprises the steps that a user sends work tasks to various types of vehicles through a display unit, the work tasks comprise key points which need to be reached, the running speed and a work route are allowed, and notably, the type of vehicles are not allowed to overtake, the time length of the jam of the type of vehicles is longer than the preset jam time length, the type of vehicles are allowed to overtake, an intelligent display device is arranged in the type of vehicles and used for displaying the work tasks and allowing overtaking signals, the overtaking operation can be carried out only when the type of vehicles meet overtaking response conditions, the overtaking response conditions are that the occupancy of the type of vehicles in the overtaking route is smaller than the preset type of vehicle occupancy and other vehicles in the overtaking route respond to overtaking signals, the jam time length is the difference value obtained by subtracting the expected running time length in the transport route, the expected running time length = the total length of the transport route/the speed of the working vehicles, the actual running time length is the total time length of the working vehicles actually passing through the transport route, the preset jam time length and the numerical value setting of the preset jam time length and the preset type of the vehicle occupancy are set according to the history and the actual requirement,;
The greater the overtaking priority coefficient is, the longer the overtaking permission time of the first-class vehicle is, the greater the overtaking permission distance of the second-class vehicle is, the working vehicle needs to pass through a reserved overtaking area in the transportation route when finishing overtaking behavior, the reserved overtaking area is a reserved overtaking area in the transportation route, the reserved overtaking area is not permitted to pass when the working vehicle does not execute overtaking behavior, the overtaking permission time is the longest time that the overtaking behavior of the first-class vehicle can last, and the overtaking distance is the longest distance that the overtaking behavior of the second-class vehicle can pass.
Specifically, the data analysis unit determines whether to adjust route distribution coefficients corresponding to the key points or adjust task interval coefficients according to the number of vehicles in the transportation routes of the key points;
The regulating value of the route distribution coefficient and the number of vehicles in the transportation route are in positive correlation;
And the regulating value of the task interval coefficient is in negative correlation with the number of vehicles in the transportation route.
The data analysis unit determines a task execution coefficient adjustment mode according to different vehicle quantity states of the transportation routes of each type of key points, and the adjustment compensation unit executes an adjustment task according to the determined execution coefficient adjustment mode, wherein the vehicle quantity states are divided into a first preset vehicle quantity state and a second preset vehicle quantity state;
The first preset vehicle number state is that when the vehicle number in all the transportation routes is larger than the maximum vehicle number or smaller than or equal to the preset minimum vehicle number, the second preset vehicle number state is that the vehicle number corresponding to the transportation routes is larger than the preset maximum vehicle number and the vehicle number corresponding to the transportation routes is smaller than or equal to the preset minimum vehicle number;
If the first preset vehicle quantity state is used for adjusting the task interval coefficient, when the vehicle quantity in all the transportation routes is smaller than or equal to the preset minimum vehicle quantity, decreasing and adjusting the task issuing coefficient, increasing the task issuing times, guaranteeing the full utilization of the transportation routes, when the vehicle quantity in all the transportation routes is larger than the preset maximum vehicle quantity, increasing and adjusting the task issuing coefficient, decreasing the task issuing times, relieving the transportation pressure of the transportation routes, and guaranteeing the smooth passing of the working vehicles, wherein the task interval coefficient is the time interval for issuing tasks for key points and the working vehicles and distributing the transportation routes for the working vehicles, and the task issuing times are the times for issuing tasks for the key points and the working vehicles and distributing the transportation routes for the working vehicles in a single period;
If the second preset vehicle number state is adopted, the distribution coefficient of each transport route is adjusted, when the vehicle number in the transport route is larger than the preset maximum vehicle number, the distribution coefficient of the route is reduced and adjusted, when the vehicle number in the transport route is smaller than or equal to the preset minimum vehicle number, the distribution coefficient of the route is increased and adjusted, the reasonability of route distribution and the vehicle number in the transport route is ensured, the larger the distribution priority coefficient is, the more the distribution priority coefficient is preferentially selected when the transport route is distributed to the working vehicle, and the initial value of the distribution priority coefficient of each route is set according to the comprehensive evaluation coefficient;
the method comprises the steps of setting the numerical value of the preset maximum number of vehicles and the preset minimum number of vehicles, setting the numerical value of the preset maximum number of vehicles and the preset minimum number of vehicles according to actual demands and historical records, enabling a user to set the numerical value of the preset maximum number of vehicles and the preset minimum number of vehicles, enabling the minimum number of vehicles meeting the production work demands of the user in the historical records to be the numerical value of the preset minimum number of vehicles, enabling the minimum number of vehicles causing the blockage of the route in the historical records to be the numerical value of the preset maximum number of vehicles, enabling the preset maximum number of vehicles to be 80% of the number of the receivable vehicles in the route, enabling the preset minimum number of vehicles to be 50% of the number of the receivable vehicles in the route, and enabling the receivable vehicles to be the maximum number of the receivable working vehicles in a normal running area of the transport route.
Specifically, the real-time processing unit determines comprehensive evaluation coefficients of the transportation routes according to a class of vehicle duty ratio, a jolt area duty ratio and a loosening coefficient of the vehicle loading coal to be assigned corresponding to each transportation route of a class of key points, and the adjusting and compensating unit initially sets distribution priority coefficients of the transportation routes according to the comprehensive evaluation coefficients of the transportation routes.
Wherein the comprehensive evaluation coefficient of the transportation route is S,A is the ratio of manually controlled vehicles in the transport route, a = the number of manually controlled vehicles in the transport route/the number of total vehicles in the transport route, B is the ratio of jounce area in the transport route, B = the length of jounce area/the overall length of the transport route, C is the loosening coefficient of the coal loading of the vehicle to be assigned,To be the minimum of the coal loosening coefficients in the actual scene,For the maximum value of the coal loosening coefficient in the actual scene,The user can determine the influence degree of different factors according to the historical record and the actual demand, the larger the influence degree is, the larger the corresponding weight coefficient is, the larger the vehicle proportion of one type in the transportation route is, the smaller the comprehensive evaluation coefficient of the route is, the larger the coal loosening coefficient of the transportation route to be assigned for vehicle transportation is, the smaller the comprehensive evaluation coefficient of the transportation route is, the larger the bumping area proportion is, the secondary adjustment is carried out on the distribution priority coefficient of the transportation route according to the comprehensive evaluation coefficient, the probability of accidents in the transportation process can be reduced, the vehicle scheduling is optimized, and the average comprehensive evaluation coefficient is the average value of the comprehensive evaluation coefficients of all the transportation routes in a working scene.
Specifically, the adjusting and compensating unit determines whether to adjust the speed of the working vehicle according to the dust concentration of the transportation route corresponding to the second-class key points, and if the dust concentration is greater than or equal to the preset dust concentration, the adjusting and compensating unit determines that the speed of the working vehicle of the transportation route corresponding to the second-class key points is reduced and adjusted;
The reduction value of the working vehicle speed and the dust concentration are in positive correlation.
The working vehicle speed is the road distance of the working vehicle passing through in unit time, the dust concentration is the average value of the dust concentrations measured by all dust measuring instruments arranged in the corresponding transportation route, the numerical value of the preset dust concentration is set, a user can set according to the historical record and the actual situation, the higher the requirement on the visibility of the transportation route is, the lower the preset dust concentration is, the preset dust concentration value method is provided, and the user sets the minimum value of the dust concentration affecting the visual field of the vehicle in the historical record and the actual working process as the preset dust concentration.
Specifically, the data acquisition unit records the illegal vehicles in the transportation route and transmits corresponding vehicle information to the display unit in real time.
The illegal vehicles are working vehicles with overspeed behaviors, overload behaviors and violating transportation rules in the working sites.
Specifically, the adjustment compensation unit detects the number of key points with the workload fluctuation value larger than a preset workload fluctuation value, and records the number as the period reference number;
If the period reference number is larger than the preset period reference number, the adjustment compensation unit judges that the reduction adjustment is carried out for the detection period;
the difference value between the reduced value of the detection period and the period reference number is a positive correlation;
the difference value of the period reference value number is the absolute value of the difference value of the period reference number and the preset period reference number.
The method comprises the steps that a user can set according to actual demands and historical records, the higher the stability requirement of the user on the workload of key points is, the smaller the preset period reference number is, the value of the preset period reference number is provided, the value of the preset period reference number is 50% of all the key points, and the detection period is the time interval of the data acquisition unit for twice acquiring the workload reference value for each key point.
Referring to fig. 4, a schematic diagram of a transportation route according to the present invention is shown, the transportation route includes a reserved overtaking area 1, a normal driving area 2, and an interval schematic line 3, wherein the reserved overtaking area 1 is an area where one type of vehicle and two types of vehicles in the transportation route perform overtaking, the normal driving area 2 is an area where one type of vehicle and two types of vehicles in the transportation route normally run, and the interval schematic line 3 is an area division for reminding the working vehicles of the transportation route.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A high-density low-speed vehicle dispatch management system, comprising:
the data acquisition unit is used for periodically acquiring the workload reference value of the key points, the number of working vehicles and the dust concentration of each transport route and monitoring the illegal behaviors of the working vehicles in real time;
The data analysis unit is connected with the data acquisition unit and is used for determining a key point state according to the workload reference value and the workload fluctuation value, determining a transportation adjustment mode according to the key point state, determining whether to set a overtaking priority coefficient or adjust a task execution coefficient through a fluent difference value and determining an adjustment mode of the task execution coefficient according to the number of vehicles;
The adjusting and compensating unit is connected with the data analyzing unit and the data collecting unit and is used for executing a transportation adjusting mode and detecting period adjustment and determining whether to adjust the speed of the vehicle according to the dust concentration;
The real-time processing unit is connected with the data acquisition unit and the adjustment compensation unit and is used for determining comprehensive evaluation coefficients of all the transportation routes according to the vehicle duty ratio, the jolt area duty ratio and the loosening coefficient of the coal loading of the vehicle to be assigned of the transportation routes of the key points and the corresponding associated key points, and initially setting the distribution priority coefficient of all the transportation routes according to the comprehensive evaluation coefficients of all the transportation routes;
The display unit is connected with the data acquisition unit and each working vehicle and used for displaying the working information of each vehicle, displaying the position of the illegal vehicle in real time and giving an alarm;
The data analysis unit respectively carries out transportation regulation analysis on each key point, wherein the transportation regulation analysis is to determine a transportation regulation mode of the key point according to the state of the key point corresponding to the key point, and the transportation regulation mode comprises regulation on overtaking priority coefficients or task execution coefficients of a class of vehicles and a class of vehicles corresponding to the class of key point or regulation on the speed of the vehicles;
the data analysis unit sets overtaking priority coefficients of the first-class vehicles and the second-class vehicles corresponding to the first-class key points;
the numerical value of the overtaking priority coefficient and the quantity ratio of the smoothly associated key points are in positive correlation;
marking the associated key points with the workload reference value being greater than or equal to the preset workload reference value as smooth associated key points;
The key points are coal mine loading points and coal mine unloading points in the opencast coal mine, one type of key points are key points in a first key point state, the other type of key points are key points in a second key point state, and the associated key points are all key points with related routes with the key points;
the fluency difference value is the absolute value of the difference between the number of working vehicles reaching the key point through the relevant route and the number of working vehicles reaching the corresponding relevant key point through the relevant route;
one type of vehicle is an artificial driving vehicle, the second type of vehicle is an unmanned vehicle, and the one type of vehicle accounts for ratio=the number of manually controlled vehicles in the transportation route/the number of all vehicles in the transportation route.
2. The high-density low-speed vehicle scheduling management system according to claim 1, wherein the data analysis unit periodically acquires a workload reference value and a workload fluctuation value for each key point to determine a key point state, the key point state including a workload reference value smaller than a preset workload reference value or a workload reference value greater than or equal to the preset workload reference value and a workload fluctuation value greater than the preset workload fluctuation value.
3. The high-density low-speed vehicle scheduling management system according to claim 2, wherein the data analysis unit determines whether to set the overtaking priority coefficient or adjust the task execution coefficient according to the fluency difference value of the relevant route of the one type of key points and the relevant key points corresponding to the one type of key points.
4. The high-density low-speed vehicle scheduling management system according to claim 3, wherein the data analysis unit determines whether to adjust route allocation coefficients corresponding to the key points of the type or to adjust task interval coefficients according to the number of vehicles in the transportation route of each key point of the type;
The regulating value of the route distribution coefficient and the number of vehicles in the transportation route are in positive correlation;
And the regulating value of the task interval coefficient is in negative correlation with the number of vehicles in the transportation route.
5. The high-density low-speed vehicle dispatching management system according to claim 1, wherein the adjustment compensation unit determines whether to adjust the speed of the working vehicle according to the dust concentration of the transportation route corresponding to the second-class key point, and if the dust concentration is greater than or equal to a preset dust concentration, the adjustment compensation unit determines to reduce and adjust the speed of the working vehicle according to the transportation route corresponding to the second-class key point;
The reduction value of the working vehicle speed and the dust concentration are in positive correlation.
6. The high-density low-speed vehicle dispatch management system of claim 1, wherein the data acquisition unit records offending vehicles in the transportation route and transmits corresponding vehicle information to the display unit in real time.
7. The high-density low-speed vehicle scheduling management system according to claim 1, wherein the number of key points at which the adjustment compensation unit detects that the workload fluctuation value is greater than the preset workload fluctuation value is recorded as the cycle reference number;
If the period reference number is larger than the preset period reference number, the adjustment compensation unit judges that the reduction adjustment is carried out for the detection period;
the difference value between the reduced value of the detection period and the period reference number is a positive correlation;
the difference value of the period reference value number is the absolute value of the difference value of the period reference number and the preset period reference number.
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| CN109404045A (en) * | 2018-11-19 | 2019-03-01 | 华能伊敏煤电有限责任公司 | Method and system for identifying illegal operation of mining vehicle |
| CN118011965A (en) * | 2023-12-20 | 2024-05-10 | 新元星宇数联通信技术有限公司 | A 5G fully connected smart factory production and monitoring system |
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| CN109404045A (en) * | 2018-11-19 | 2019-03-01 | 华能伊敏煤电有限责任公司 | Method and system for identifying illegal operation of mining vehicle |
| CN118011965A (en) * | 2023-12-20 | 2024-05-10 | 新元星宇数联通信技术有限公司 | A 5G fully connected smart factory production and monitoring system |
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