CN118800066A - A high-density low-speed vehicle dispatching and management system - Google Patents

Abstract

The invention relates to the field of vehicle dispatching, in particular to a high-density low-speed vehicle dispatching management system, which comprises the following components: the data acquisition unit is used for acquiring the workload reference value of the key point, the number of working vehicles of each transport route and the dust concentration; the data analysis unit is used for determining a transportation regulation mode according to the key point state, determining whether to set a overtaking priority coefficient or regulate a task execution coefficient according to the fluency difference value, and determining the regulation mode of the task execution coefficient according to the number of vehicles; an adjustment compensation unit for performing a transportation adjustment mode and a detection period adjustment, and determining whether to adjust for the vehicle speed according to the dust concentration; the real-time processing unit is used for determining the comprehensive evaluation coefficient of each transport route and carrying out initial setting on the distribution priority coefficient of each transport route according to the comprehensive evaluation coefficient of each transport route; a display unit; the invention improves the dispatching efficiency of vehicles in the open pit coal mine.

Description

A high-density low-speed vehicle dispatching and management system

Technical Field

The invention relates to the field of vehicle dispatching, and in particular to a high-density low-speed vehicle dispatching management system.

Background Art

Vehicle scheduling is to optimize the transportation efficiency and resource allocation in the actual working scenario by adjusting the transportation status and route selection of the vehicle. The vehicle scheduling management system in the coal mine can effectively optimize the safety and operating cost of the transportation process. However, the current vehicle scheduling management system for coal mines often only schedules the working vehicles according to the vehicle loading situation and the idle situation of the loader. It fails to judge the factors affecting the transportation efficiency according to the workload and its changes at the coal loading and unloading points in the coal yard, and make targeted adjustments to the transportation process, which leads to low transportation efficiency of working vehicles in open-pit coal mines. Therefore, how to make targeted adjustments to the transportation process according to the different situations of the actual application scenarios to improve the transportation efficiency of working vehicles in coal mines is an urgent problem to be solved by technical personnel in this field.

Chinese patent publication number CN116362506A discloses a digital coal yard management system and method. By obtaining the coal shortage in different storage areas of the coal mine and the working conditions of the loading and unloading equipment, the working vehicles are dispatched and the actual situation on site is monitored in real time. When dangerous situations occur, an alarm is issued, thereby realizing the safety, digitization and controllability of the coal yard management. However, the above scheme has the following problems: the vehicles in the open-pit coal mine often have a low running speed but a large vehicle density, which will lead to poor efficiency in the transportation process of the working vehicles. However, the vehicle dispatching fails to take into account the actual working conditions of the loading and unloading points in the actual application scenarios to make targeted adjustments to the transportation process, resulting in the transportation method being unable to cope with the changes in the actual application scenarios, thereby making the transportation efficiency of the working vehicles in the coal mine low.

Summary of the invention

To this end, the present invention provides a high-density, low-speed vehicle dispatching and management system to overcome the problem that the vehicle dispatching in the prior art fails to take into account the actual working conditions of the loading and unloading points in the actual application scenarios to make targeted adjustments to the transportation process, resulting in the transportation mode being unable to cope with changes in the actual application scenarios, thereby causing the transportation efficiency of working vehicles in coal mines to be low.

To achieve the above object, the present invention provides a high-density low-speed vehicle dispatching and management system, comprising:

Data collection unit, used to periodically collect workload reference values at key points and the number of working vehicles and dust concentration on each transport route, and to monitor violations of working vehicles in real time;

a data analysis unit connected to the data acquisition unit, for determining a key point state according to a workload reference value and a workload fluctuation value, and determining a transportation adjustment method according to the key point state, and determining whether to set an overtaking priority coefficient or adjust a task execution coefficient according to a flow difference value, and determining an adjustment method of the task execution coefficient according to the number of vehicles;

An adjustment and compensation unit, which is connected to the data analysis unit and the data acquisition unit, and is used to perform a transport adjustment mode and a detection cycle adjustment, and to determine whether to adjust the vehicle speed according to the dust concentration;

A real-time processing unit connected to the data acquisition unit and the adjustment and compensation unit is used to determine the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles in the transportation route of a type of key point and its corresponding associated key point, the proportion of bumpy areas, and the loose coefficient of coal loaded by the vehicles to be assigned, and to initially set the allocation priority coefficient of each transportation route according to the comprehensive evaluation coefficient of each transportation route;

The display unit is connected to the data collection unit and each working vehicle to display the working information of each vehicle and the position of the illegal vehicle in real time and issue an alarm.

Furthermore, the data analysis unit periodically obtains the workload reference value and workload fluctuation value of each key point to determine the key point state, and the key point state includes that the workload reference value is less than the preset workload reference value, or the workload reference value is greater than or equal to the preset workload reference value and the workload fluctuation value is greater than the preset workload fluctuation value.

Furthermore, the data analysis unit performs transportation adjustment analysis on each key point respectively. The transportation adjustment analysis is to determine the transportation adjustment method of the key point according to the key point state corresponding to the key point. The transportation adjustment method includes adjusting the overtaking priority coefficient or the task execution coefficient of Class I vehicles and Class II vehicles corresponding to a class of key points, or adjusting the vehicle speed.

Further, the data analysis unit determines whether to set the overtaking priority coefficient or adjust the task execution coefficient according to the smoothness difference value of the relevant routes of a type of key points and their corresponding associated key points.

Further, the data analysis unit sets the overtaking priority coefficients of the first-category vehicles and the second-category vehicles corresponding to the first-category key points;

The value of the overtaking priority coefficient is positively correlated with the proportion of the number of smooth-connection key points;

The associated key points whose workload reference values are greater than or equal to the preset workload reference values are recorded as smooth associated key points.

Further, the data analysis unit determines whether to adjust the route allocation coefficient corresponding to the first-class key point, or to adjust the task interval coefficient according to the number of vehicles in the transportation route of each first-class key point;

The adjustment value of the route allocation coefficient is positively correlated with the number of vehicles in the transport route;

The adjustment value of the task interval coefficient is negatively correlated with the number of vehicles in the transportation route.

Furthermore, the real-time processing unit determines the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles corresponding to each transportation route of a type of key points, the proportion of bumpy areas and the loose coefficient of coal loaded on the vehicles to be assigned, and the adjustment and compensation unit performs initial setting of the allocation priority coefficient of the transportation route according to the comprehensive evaluation coefficient of the transportation route.

Further, the adjustment and compensation unit determines whether to adjust the working vehicle speed according to the dust concentration of the transportation route corresponding to the second type of key point, and if the dust concentration is greater than or equal to the preset dust concentration, the adjustment and compensation unit determines to reduce the working vehicle speed of the transportation route corresponding to the second type of key point;

The reduction value of the working vehicle speed is positively correlated with the dust concentration.

Furthermore, the data collection unit records the illegal vehicles in the transportation route and transmits the corresponding vehicle information to the display unit in real time.

Further, the number of key points where the workload fluctuation value detected by the adjustment compensation unit is greater than the preset workload fluctuation value is recorded as the period reference number;

If the cycle reference number is greater than the preset cycle reference number, the adjustment compensation unit determines to reduce the detection cycle;

The reduction value of the detection period is positively correlated with the difference between the reference number of periods;

The period reference value quantity difference is the absolute value of the difference between the period reference quantity and the preset period reference quantity.

Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical scheme of the present invention, the key point status is determined according to the workload reference value and the workload fluctuation value, the key point status can reflect the unloading volume of the key point and the change of the unloading volume over time, and according to different key point states, different transportation adjustment methods are selected to carry out targeted adjustment, and the transportation adjustment method is more in line with the actual application scenario, thereby effectively improving the efficiency of vehicle transportation in open-pit coal mines.

Furthermore, the data analysis unit in the present invention determines the smoothness difference value of the relevant routes according to the number of working vehicles that reach the key points and their corresponding associated key points through the relevant routes within the detection period, and reflects the degree of balance in the number of vehicles on the working routes between a type of key points and their corresponding associated key points through the numerical value of the smoothness difference value. In the case of imbalance in number, the overtaking priority coefficient of the first type of vehicles and the second type of vehicles at the first type of key points is adjusted to avoid the problem of aggravated road congestion caused by directly adjusting the overtaking priority coefficient when the relevant routes are also congested.

Furthermore, the data analysis unit in the present invention performs analysis according to the number of vehicles in each transport route corresponding to each first-class key point, so as to characterize the degree of balance of vehicles in each transport route corresponding to each first-class key point. For unbalanced situations, the route allocation coefficient is adjusted to improve the road utilization efficiency. For balanced situations, the task interval coefficient is adjusted to avoid the situation where the task issuance interval is too large or too small, resulting in the number of vehicles being difficult to meet the actual road carrying capacity or the production needs of the coal mine unloading point, thereby improving the vehicle scheduling efficiency in the present invention.

Furthermore, in the present invention, a comprehensive evaluation coefficient is obtained according to various factors in actual conditions, an allocation priority coefficient for the transport route is initially set according to the comprehensive evaluation coefficient, and the allocation priority coefficient for the transport route is readjusted according to the number of vehicles in the transport route at the key point and its corresponding key point. The two adjustments to the route allocation priority coefficient fully consider various influencing factors, which not only ensures the smooth operation of the transport route, but also reduces the probability of accidents in the transport process, making the route allocation more reasonable, thereby improving the vehicle transportation efficiency in this system.

Furthermore, in the present invention, each transportation route in the coal mine is set as one-way traffic, and an overtaking area is reserved according to the actual transportation route width and the width of the working vehicle. By reserving the overtaking area, the overtaking behavior is smoothly completed and the safety of the working vehicle when performing the overtaking behavior is guaranteed, thereby improving the work efficiency of the working vehicle in performing the overtaking behavior and further improving the transportation efficiency of the working vehicle.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a unit connection diagram of a dense low-speed vehicle dispatching and management system of the present invention;

2 is a flow chart of the present invention for determining the transportation adjustment method of a key point according to the key point state corresponding to the key point;

3 is a flow chart of the present invention for determining whether to adjust the route allocation coefficient corresponding to a type of key point, or to adjust the task interval coefficient, according to the number of vehicles in the transportation route of each type of key point;

FIG4 is a schematic diagram of a transportation route of the present invention;

In the figure: reserved overtaking area 1, normal driving area 2, interval schematic line 3.

DETAILED DESCRIPTION

In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

The 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 only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Referring to FIG. 1 to FIG. 3 , the present invention provides a high-density low-speed vehicle dispatching and management system, comprising:

Data collection unit, used to periodically collect workload reference values at key points and the number of working vehicles and dust concentration on each transport route, and to monitor violations of working vehicles in real time;

a data analysis unit connected to the data acquisition unit, for determining a key point state according to a workload reference value and a workload fluctuation value, and determining a transportation adjustment method according to the key point state, and determining whether to set an overtaking priority coefficient or adjust a task execution coefficient according to a flow difference value, and determining an adjustment method of the task execution coefficient according to the number of vehicles;

An adjustment and compensation unit, which is connected to the data analysis unit and the data acquisition unit, and is used to perform a transport adjustment mode and a detection cycle adjustment, and to determine whether to adjust the vehicle speed according to the dust concentration;

A real-time processing unit connected to the data acquisition unit and the adjustment and compensation unit is used to determine the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles in the transportation route of a type of key point and its corresponding associated key point, the proportion of bumpy areas, and the loose coefficient of coal loaded by the vehicles to be assigned, and to initially set the allocation priority coefficient of each transportation route according to the comprehensive evaluation coefficient of each transportation route;

The display unit is connected to the data collection unit and each working vehicle to display the working information of each vehicle and the position of the illegal vehicle in real time and issue an alarm.

The application scenario of the present invention is the dispatching of working vehicles in open-pit coal mines. The data acquisition unit collects the position information and speed information of several 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 loaded on the working vehicle. The sensor model used is not specifically set, and the customer can choose it according to the actual situation. The monitoring device is used to detect the behavior of the working vehicle violating the transportation rules in the workplace. The dust concentration in the open-pit coal mine is detected by the dust meter. The model, quantity and position of the dust meter are not specifically limited, but it is necessary to ensure that there are one or more dust meters on each transportation route. The model, quantity, position and distance between adjacent devices of the monitoring device are not specifically limited, and the user can choose according to the actual situation. The dust measuring instrument is adaptively set according to the scene and actual needs. The dust measuring instrument is set at the transportation route in the open-pit coal mine. The transportation route in the present invention is a road that the working vehicles in the coal mine can pass through, and it is all one-way traffic. The use method of the GPS positioning system, weight sensor and dust measuring instrument used in the present invention is easy to understand by those skilled in the art and will not be repeated here. In the present invention, there are several vehicles in the open-pit coal mine, and the working vehicles are working vehicles for transporting coal mines. The working vehicles are divided into Class I vehicles and Class II vehicles. Class I vehicles are manually driven vehicles, and Class II vehicles are unmanned vehicles. In addition, there are auxiliary vehicles such as sprinkler trucks, graders, rollers, and refueling trucks in the open-pit coal mine. The key points in the present invention are the coal loading points and coal unloading points in the open-pit coal mine.

Specifically, at the end of each detection cycle, the data analysis unit obtains the workload reference value and the workload fluctuation value of each key point to determine the key point state of each key point, and the key point state includes a first key point state and a second key point state;

The first preset key point state is that the workload reference value is less than the preset workload reference value;

The second preset key point state is that the workload reference value is greater than or equal to the preset workload reference value and the workload fluctuation value is greater than the preset workload fluctuation value;

The first type of key points are key points in the first key point state, and the second type of key points are key points in the second key point state;

Among them, for a single key point, its workload reference value is the number of working vehicles entering the key point in the current detection cycle, and its workload fluctuation value is the absolute value of the difference between the workload reference value of the key point in the current cycle and the workload reference value of the most recent detection cycle. The numerical setting of the preset workload reference value can be set by the user according to historical records and actual needs. The greater the user's workload demand for the key point, the larger the preset workload reference value. A method for taking a preset workload reference value is provided. The preset workload reference value is the average workload of the key points that meet the customer's workload demand in the historical records. The numerical setting of the preset workload fluctuation value can be set by the user according to historical records and actual needs. The greater the user's demand for the stability of the key point workload, the smaller the preset workload fluctuation value. A value of the preset workload fluctuation value is provided, and the value of the preset workload fluctuation value is 5.

Specifically, the data analysis unit performs transportation adjustment analysis on each key point respectively. The transportation adjustment analysis is to determine the transportation adjustment method of the key point according to the key point status corresponding to the key point. The transportation adjustment method includes adjusting the overtaking priority coefficient or the task execution coefficient of Class I vehicles and Class II vehicles corresponding to a class of key points, or adjusting the vehicle speed.

Among them, when the key point state is the first key point state, the overtaking priority coefficient or task execution coefficient of the first and second type of vehicles corresponding to the first type of key point is adjusted; when the key point state is the second key point state, the vehicle speed is adjusted.

Specifically, the data analysis unit determines whether to set the overtaking priority coefficient or adjust the task execution coefficient according to the smoothness difference value of the relevant routes of a type of key points and their corresponding associated key points.

The associated key points are all the key points with which there are associated routes. A key point can have one or more associated key points. The associated routes are the overlapping route sections in the transportation routes to two key points. The smooth difference value is the absolute value of the difference between the number of working vehicles that reach the key point through the associated routes and the number of working vehicles that reach the corresponding associated key point through the associated routes.

When the smoothness difference value of the relevant routes of a type of key point and its corresponding associated key points is greater than the preset smoothness difference value, the overtaking priority coefficient is set; when the smoothness difference value of the relevant routes of a type of key point and its corresponding associated key points is less than or equal to the preset smoothness difference value, the task execution coefficient is adjusted. The numerical setting of the preset smoothness difference value can be set by the user according to historical records and actual needs. The higher the user's requirement for the balance between key points, the smaller the preset smoothness difference value. A preset smoothness difference value is provided, and the preset smoothness difference value is 5.

Specifically, the data analysis unit sets the overtaking priority coefficients of the first-category vehicles and the second-category vehicles corresponding to the first-category key points;

The value of the overtaking priority coefficient is positively correlated with the proportion of the number of smooth-connection key points;

The associated key points whose workload reference values are greater than or equal to the preset workload reference values are recorded as smooth associated key points.

Among them, the user sends a work task to each Class I vehicle through the display unit. The work task includes the key points that need to be reached, the allowed driving speed and the work route. It is worth noting that Class I vehicles are not allowed to overtake. Class I vehicles are allowed to overtake only when the congestion time of Class I vehicles is greater than the preset congestion time. Class I vehicles are equipped with an intelligent display device to display work tasks and overtaking signals. However, Class II vehicles must meet the overtaking response conditions before they can overtake. The overtaking response conditions are that the proportion of Class I vehicles in the overtaking route is less than the preset proportion of Class I vehicles and the overtaking route The other vehicles respond to the overtaking signal. The congestion duration is the difference between the actual running time of the working vehicle in the transport route and the expected running time. The expected running time = the total length of the transport route / the speed of the working vehicle. The actual running time is the total time the working vehicle actually passes through the transport route. The preset congestion duration and the preset proportion of a class of vehicles can be set by the user according to historical records and actual needs. The higher the user's requirements for transportation efficiency, the lower the value of the preset congestion duration. The higher the user's requirements for safety during the overtaking process, the smaller the value of the preset proportion of a class of vehicles.

The larger the overtaking priority coefficient is, the longer the overtaking time allowed for Class I vehicles is, and the longer the overtaking distance allowed for Class II vehicles is. In the present invention, the working vehicle needs to pass through the reserved overtaking area in the transportation route to complete the overtaking behavior. The area in the transportation route that is reserved for a single vehicle to pass is the reserved overtaking area. The reserved overtaking area is not allowed to be passed when the working vehicle does not perform the overtaking behavior. The allowed overtaking time is the maximum time that a Class I vehicle can continue to overtake, and the allowed overtaking distance is the longest distance that a Class II vehicle can pass to overtake.

Specifically, the data analysis unit determines whether to adjust the route allocation coefficient corresponding to the first-class key point, or to adjust the task interval coefficient according to the number of vehicles in the transportation route of each first-class key point;

The adjustment value of the route allocation coefficient is positively correlated with the number of vehicles in the transport route;

The adjustment value of the task interval coefficient is negatively correlated with the number of vehicles in the transportation route.

The data analysis unit determines the task execution coefficient adjustment method according to the different vehicle quantity states of the transportation routes of each key point of the first category, and the adjustment compensation unit performs the adjustment task according to the determined execution coefficient adjustment method, and the vehicle quantity state is divided into a first preset vehicle quantity state and a second preset vehicle quantity state;

The first preset vehicle quantity state is when the number of vehicles in all transport routes is greater than the maximum number of vehicles or less than or equal to the preset minimum number of vehicles, and the second preset vehicle quantity state is when there is a transport route where the number of vehicles corresponding to the transport route is greater than the preset maximum number of vehicles and there is a transport route where the number of vehicles corresponding to the transport route is less than or equal to the preset minimum number of vehicles;

If the first preset vehicle quantity state is used, the task interval coefficient is adjusted. When the number of vehicles in all transport routes is less than or equal to the preset minimum number of vehicles, the task issuance coefficient is adjusted downward to increase the number of task issuances to ensure full utilization of the transport routes. When the number of vehicles in all transport routes is greater than the preset maximum number of vehicles, the task issuance coefficient is adjusted upward to reduce the number of task issuances to reduce the transportation pressure on the transport routes and ensure smooth passage of working vehicles. The task interval coefficient is the time interval for issuing tasks to key points and working vehicles and allocating transport routes to working vehicles. The number of task issuances is the number of times tasks are issued to key points and working vehicles and transport routes are allocated to working vehicles in a single cycle.

If the second preset vehicle quantity state is reached, the allocation coefficient of each transport route is adjusted. When the number of vehicles in the transport route is greater than the preset maximum number of vehicles, the allocation coefficient of the route is adjusted downward. When the number of vehicles in the transport route is less than or equal to the preset minimum number of vehicles, the allocation coefficient of the route is adjusted upward to ensure the rationality of route allocation and the number of vehicles in the transport route. The route with the larger allocation priority coefficient is preferred when allocating transport routes to working vehicles. The initial value of the allocation priority coefficient of each route is set according to the comprehensive evaluation coefficient.

The numerical settings of the preset maximum number of vehicles and the preset minimum number of vehicles can be set by the user according to actual needs and historical records. The higher the requirement for the smoothness of the transportation route, the smaller the numerical value of the preset maximum number of vehicles; the higher the workload requirement for the transportation route, the larger the numerical value of the preset minimum number of vehicles. A method for determining the numerical values of the preset maximum number of vehicles and the preset minimum number of vehicles is provided. The minimum number of vehicles in the historical records that meet the production work needs of the user on the transportation route is recorded as the numerical value of the preset minimum number of vehicles, and the minimum number of vehicles that causes congestion on the route in the historical records is recorded as the numerical value of the preset maximum number of vehicles. A method for determining the numerical values of the preset maximum number of vehicles and the preset minimum number of vehicles is provided. The preset maximum number of vehicles is 80% of the number of vehicles that the route can accommodate, and the preset minimum number of vehicles is 50% of the number of vehicles that the route can accommodate. The accommodable vehicles are the maximum number of working vehicles that can be accommodated in the normal driving area of the transportation route.

Specifically, the real-time processing unit determines the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles corresponding to each transportation route of a type of key points, the proportion of bumpy areas and the loose coefficient of coal loaded on the vehicles to be assigned; the adjustment and compensation unit makes an initial setting of the allocation priority coefficient of the transportation route according to the comprehensive evaluation coefficient of the transportation route.

Among them, the comprehensive evaluation coefficient of the transportation route is S, A is the proportion of unmanned vehicles in the transport route, A = the number of unmanned vehicles in the transport route / the total number of vehicles in the transport route, B is the proportion of bumpy areas in the transport route, B = the length of the bumpy area / the overall length of the transport route, C is the loose coefficient of coal loaded on the vehicle to be assigned, C _MIN is the minimum value of the coal loose coefficient in the actual scenario, C _MAX is the maximum value of the coal loose coefficient in the actual scenario, ω _A and ω _B are weight coefficients, and users can determine the degree of influence of different factors based on historical records and actual needs. The greater the degree of influence, the greater the corresponding weight coefficient, the greater the proportion of a type of vehicle in the transport route, and the smaller the comprehensive evaluation coefficient of the route. The greater the loose coefficient of coal transported by the vehicle to be assigned, the smaller the comprehensive evaluation coefficient of the transport route with a larger proportion of bumpy areas. A secondary adjustment is made to the allocation priority coefficient of the transport route based on the comprehensive evaluation coefficient, which can reduce the probability of accidents in the transportation process and optimize vehicle scheduling. The average comprehensive evaluation coefficient is the average value of the comprehensive evaluation coefficients of all transport routes in the working scenario.

Specifically, the adjustment and 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 type of key point. If the dust concentration is greater than or equal to the preset dust concentration, the adjustment and compensation unit determines to reduce the speed of the working vehicle on the transportation route corresponding to the second type of key point.

The reduction value of the working vehicle speed is positively correlated with the dust concentration.

Among them, the working vehicle speed is the road distance traveled by the working vehicle per unit time, the dust concentration is the average value of the dust concentration measured by all dust measuring instruments set in the corresponding transportation route, and the numerical setting of the preset dust concentration can be set by the user according to historical records and actual conditions. The higher the requirement for visibility on the transportation road, the lower the preset dust concentration. A method for determining the preset dust concentration is provided, and the user sets the minimum value of the dust concentration that affects the vehicle's field of vision in historical records and actual work as the preset dust concentration.

Specifically, the data collection unit records the illegal vehicles in the transportation route and transmits the corresponding vehicle information to the display unit in real time.

Among them, illegal vehicles are work vehicles that exceed the speed limit, are overloaded, or violate transportation rules within the workplace.

Specifically, the number of key points where the workload fluctuation value detected by the adjustment compensation unit is greater than the preset workload fluctuation value is recorded as the period reference number;

If the cycle reference number is greater than the preset cycle reference number, the adjustment compensation unit determines to reduce the detection cycle;

The reduction value of the detection period is positively correlated with the difference between the reference number of periods;

The period reference value quantity difference is the absolute value of the difference between the period reference quantity and the preset period reference quantity.

Among them, the numerical setting of the preset cycle reference quantity can be set by the user according to actual needs and historical records. The higher the user's requirements for the stability of the key point workload, the smaller the preset cycle reference quantity. A value of the preset cycle reference quantity is provided, and the value of the preset cycle reference quantity is 50% of all key points. The detection period is the time interval for the data acquisition unit to collect the workload reference value twice for each key point.

Please refer to Figure 4, which is a schematic diagram of the transport route of the present invention. The transport 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 the area where Class I and Class II vehicles in the transport route are overtaking, the normal driving area 2 is the area where Class I and Class II vehicles in the transport route are normally driving, and the interval schematic line 3 is a regional division of the transport route to remind working vehicles.

So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A high-density low-speed vehicle dispatching and management system, characterized by comprising: Data collection unit, used to periodically collect workload reference values at key points and the number of working vehicles and dust concentration on each transport route, and to monitor violations of working vehicles in real time; a data analysis unit connected to the data acquisition unit, for determining a key point state according to a workload reference value and a workload fluctuation value, and determining a transportation adjustment method according to the key point state, and determining whether to set an overtaking priority coefficient or adjust a task execution coefficient according to a flow difference value, and determining an adjustment method of the task execution coefficient according to the number of vehicles; An adjustment and compensation unit, which is connected to the data analysis unit and the data acquisition unit, and is used to perform a transport adjustment mode and a detection cycle adjustment, and to determine whether to adjust the vehicle speed according to the dust concentration; A real-time processing unit connected to the data acquisition unit and the adjustment and compensation unit is used to determine the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles in the transportation route of a type of key point and its corresponding associated key point, the proportion of bumpy areas, and the loose coefficient of coal loaded by the vehicles to be assigned, and to initially set the allocation priority coefficient of each transportation route according to the comprehensive evaluation coefficient of each transportation route; The display unit is connected to the data collection unit and each working vehicle to display the working information of each vehicle and the position of the illegal vehicle in real time and issue an alarm. 2. The high-density, low-speed vehicle dispatching and management system according to claim 1 is characterized in that the data analysis unit periodically obtains the workload reference value and workload fluctuation value of each key point to determine the key point status, and the key point status includes that the workload reference value is less than the preset workload reference value, or the workload reference value is greater than or equal to the preset workload reference value and the workload fluctuation value is greater than the preset workload fluctuation value. 3. The high-density, low-speed vehicle dispatching and management system according to claim 2 is characterized in that the data analysis unit performs transportation adjustment analysis on each key point respectively, and the transportation adjustment analysis is to determine the transportation adjustment method of the key point according to the key point state corresponding to the key point, and the transportation adjustment method includes adjusting the overtaking priority coefficient or task execution coefficient of Class I vehicles and Class II vehicles corresponding to a class of key points, or adjusting the vehicle speed. 4. The high-density, low-speed vehicle dispatching and management system according to claim 3 is characterized in that the data analysis unit determines whether to set an overtaking priority coefficient or adjust a task execution coefficient based on the smoothness difference value of a type of key point and its corresponding associated key point's related routes. 5. The high-density low-speed vehicle dispatching and management system according to claim 4 is characterized in that the data analysis unit sets the overtaking priority coefficients of the first-class vehicles and the second-class vehicles corresponding to the first-class key points; The value of the overtaking priority coefficient is positively correlated with the proportion of the number of smooth-connection key points; The associated key points whose workload reference values are greater than or equal to the preset workload reference values are recorded as smooth associated key points. 6. The high-density low-speed vehicle dispatching and management system according to claim 5 is characterized in that the data analysis unit determines whether to adjust the route allocation coefficient corresponding to the first-class key point, or to adjust the task interval coefficient according to the number of vehicles in the transportation route of each first-class key point; The adjustment value of the route allocation coefficient is positively correlated with the number of vehicles in the transport route; The adjustment value of the task interval coefficient is negatively correlated with the number of vehicles in the transportation route. 7. The high-density, low-speed vehicle dispatching and management system according to claim 6 is characterized in that the real-time processing unit determines the comprehensive evaluation coefficient of each transportation route according to the proportion of a type of vehicles corresponding to each transportation route of a type of key points, the proportion of bumpy areas, and the loose coefficient of coal loaded on the vehicles to be assigned, and the adjustment and compensation unit performs initial setting of the allocation priority coefficient of the transportation route according to the comprehensive evaluation coefficient of the transportation route. 8. The high-density low-speed vehicle dispatching and management system according to claim 3 is characterized in that the adjustment and 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 type of key point, and if the dust concentration is greater than or equal to the preset dust concentration, the adjustment and compensation unit determines to reduce the speed of the working vehicle of the transportation route corresponding to the second type of key point; The reduction value of the working vehicle speed is positively correlated with the dust concentration. 9. The high-density low-speed vehicle dispatching and management system according to claim 1 is characterized in that the data acquisition unit records the illegal vehicles in the transportation route and transmits the corresponding vehicle information to the display unit in real time. 10. The high-density low-speed vehicle dispatching and management system according to claim 1, characterized in that the number of key points where the workload fluctuation value detected by the adjustment compensation unit is greater than the preset workload fluctuation value is recorded as the period reference number; If the cycle reference number is greater than the preset cycle reference number, the adjustment compensation unit determines to reduce the detection cycle; The reduction value of the detection period is positively correlated with the difference between the reference number of periods; The period reference value quantity difference is the absolute value of the difference between the period reference quantity and the preset period reference quantity.