CN-122022230-A - Method and system for dynamically planning intelligent queuing number calling of coal-carrying vehicle outside factory

CN122022230ACN 122022230 ACN122022230 ACN 122022230ACN-122022230-A

Abstract

The invention discloses a method and a system for dynamically planning intelligent queuing and calling of a coal-carrying vehicle outside a factory, and relates to the technical field of intelligent scheduling. The method comprises the steps of obtaining a preset dispatching rule of a power plant, collecting dynamic data of coal transportation vehicles in a geofence range of the power plant according to the dispatching rule, locating special mine point identifiers and real-time blending mine point identifiers, screening based on the dynamic data of the coal transportation vehicles and the special mine point identifiers, real-time blending mine point identifiers, determining a target vehicle, carrying out receiving and unloading calculation on the target vehicle to obtain vehicle receiving and unloading capacity parameters, determining a starting number based on the vehicle receiving and unloading capacity parameters, carrying out intelligent queuing planning on the rest vehicles to generate a queuing planning scheme, and activating a data channel to execute queuing and number calling through a channel starting instruction. The technical problems of long vehicle waiting time and lower vehicle receiving and unloading efficiency in the prior art are solved, and the technical effects of improving vehicle receiving and unloading efficiency and shortening queuing waiting time are achieved.

Inventors

DAI QINGSONG
TAN JIANJUN
YI SHUGUANG
YANG JUN
ZHOU YANGDONG
GUO ZHIWEN
LIU CAI
ZHANG YILIANG
YAO BEI
Yao kan
SONG JIAN
WANG YINHE
LIU LINFU
JIANG NAN
HE FU
LI GAOZHI
LI ZHIQIANG

Assignees

湖南大唐先一科技有限公司

Dates

Publication Date: 20260512
Application Date: 20251209

Claims (8)

1. The method for dynamically planning intelligent queuing and calling of the coal-carrying vehicle outside the factory is characterized by comprising the following steps: Acquiring a preset dispatching rule of a power plant, and acquiring coal transportation vehicle dynamic data positioned in the geofence range of the power plant according to the dispatching rule; Positioning a special mine point identifier and a real-time blending mine point identifier, and screening based on the dynamic data of the coal transportation vehicle in combination with the special mine point identifier and the real-time blending mine point identifier to determine a target vehicle, wherein the target vehicle has high priority; Carrying out receiving and unloading calculation on a target vehicle to obtain a vehicle receiving and unloading capacity parameter, determining a starting number based on the vehicle receiving and unloading capacity parameter, and carrying out intelligent queuing planning on the rest vehicles to generate a queuing planning scheme, wherein the queuing planning scheme comprises a channel starting instruction; and activating the data channel to execute queuing and calling through the channel starting instruction.
2. The method for dynamically planning intelligent queuing outside a coal-moving vehicle according to claim 1, wherein a preset scheduling rule of a power plant is obtained, and coal-moving vehicle dynamic data in a geofence range of the power plant is collected according to the scheduling rule, the method comprising: carrying out regional geographic identification on the power plant, and constructing power plant geofence parameters; Carrying out vehicle positioning identification on the coal-carrying vehicle, and constructing coal-carrying vehicle positioning parameters; The power plant geofence parameters and the coal-carrying vehicle positioning parameters are in communication connection to conduct data sensing on the coal-carrying vehicle according to a dispatching rule, and a multidimensional sensing initial data set is obtained; and carrying out data cleaning on the multi-dimensional sensing initial data set, generating a multi-dimensional sensing data set, and carrying out data dynamic screening according to the coal transportation vehicle to obtain the coal transportation vehicle dynamic data.
3. The method for dynamically planning intelligent queuing outside a coal-moving vehicle according to claim 1, wherein a special mine point identifier and a real-time blending mine point identifier are positioned, screening is performed by combining the special mine point identifier and the real-time blending mine point identifier based on the dynamic data of the coal-moving vehicle, and a target vehicle is determined, wherein the target vehicle has a high priority, and the method comprises: carrying out mining point association analysis based on the coal transportation vehicle dynamic data to generate vehicle mining point information; mapping the special mine point identification to vehicle mine point information, and constructing a special mine point list; Mapping the real-time blending mine point identification to vehicle mine point information, and constructing a real-time blending mine point list; Performing matching screening based on the special mine point list and the real-time blending mine point list to generate matched mine points; traversing the coal transportation vehicle dynamic data based on the matched mine point data to identify and determine a target vehicle; The target vehicle is marked with high priority, and the rest vehicles are marked with priority.
4. A method for dynamically programming intelligent queuing for calling a number of coal-moving vehicles outside a plant as recited in claim 3, wherein the target vehicles are marked with high priority and the remaining vehicles are marked with priority, the method comprising: Marking vehicles with the vehicle mine point information completely matched with the special mine point identification as a first type of high priority based on the matched mine point data; Marking vehicles matched with the real-time blending mining point list as a second class of high priority; And a preset sorting rule is introduced to calculate sorting scores for the rest vehicles, and a plurality of common priorities are marked according to the sorting score intervals.
5. The method for dynamically planning intelligent queuing outside a coal-moving vehicle according to claim 1, wherein the method comprises the steps of: Carrying out receiving and unloading calculation on the target vehicle based on the load of the target vehicle and the ore seed receiving and unloading efficiency, and determining receiving and unloading time-consuming data of the target vehicle; calculating the time-consuming data of the connection and disconnection by combining the number of the available connection and disconnection channels, and determining a time window parameter; Carrying out receiving and unloading occupation analysis on the target vehicle according to the time window parameters to generate a receiving and unloading resource occupation period; And carrying out receiving and unloading analysis on the target vehicle based on the receiving and unloading resource occupation period, and generating vehicle receiving and unloading capacity parameters.
6. The method for dynamically planning intelligent queuing for calling out numbers on an off-site coal-moving vehicle according to claim 5, wherein a start number is determined based on the vehicle receiving capacity parameter, intelligent queuing is performed on the remaining vehicles, a queuing plan is generated, the queuing plan includes a channel start instruction, and the method comprises: identifying a target vehicle as a start number based on the vehicle receiving and unloading capability parameter, and performing intelligent queuing planning on the rest vehicles based on the vehicle receiving and unloading capability parameter: judging whether the vehicle receiving and discharging capacity parameter is zero or not; If the vehicle receiving and unloading capacity parameter is zero, taking the ending point of the time window parameter as a starting point of queuing of the non-target vehicle; according to the starting point of the non-target vehicle queuing, the number of the non-target vehicles, the historical passing efficiency and the priority queuing factors of the rest vehicles are combined to carry out number calling prediction, and a plurality of predicted number calling times are generated; if the vehicle receiving and unloading capacity parameter is greater than zero, generating the channel starting instruction to perform vehicle number calling distribution; and adding the plurality of estimated number calling times and the channel starting instruction to a queuing planning scheme.
7. The method for dynamically planning intelligent queuing of coal-moving vehicles outside a factory according to claim 1, wherein the data channel is activated to execute queuing by the channel start instruction, and the method comprises the following steps: sending the channel starting instruction to a physical channel control unit: analyzing the channel starting instruction through a physical channel control unit to obtain a multi-channel starting mark; When the multi-channel enabling mark indicates a single-channel mode, generating a single-channel starting instruction, marking a vehicle as a number calling state in sequence according to the single-channel starting instruction, and generating an entrance instruction according to the number calling state to activate a data channel to execute queuing number calling; When the multi-channel enabling mark indicates a multi-channel mode, generating a multi-channel starting instruction, and acquiring the called number vehicle data of each channel in real time through the multi-channel starting instruction; Screening out the called number vehicle data, extracting the vehicle data to be called, and activating a data channel based on the vehicle data to be called to perform queuing number calling of dynamic balanced scheduling of the vehicle.
8. An off-site dynamic planning intelligent queuing system for a coal-moving vehicle, which is characterized by being used for implementing the off-site dynamic planning intelligent queuing method for the coal-moving vehicle according to any one of claims 1-7, and comprising the following steps: the data acquisition module acquires a preset dispatching rule of the power plant, and acquires dynamic data of the coal transportation vehicle positioned in the geofence range of the power plant according to the dispatching rule; the screening module is used for locating special mine point identifiers and real-time blending mine point identifiers, screening the special mine point identifiers and the real-time blending mine point identifiers based on the dynamic data of the coal transportation vehicles, and determining target vehicles with high priority; the queuing planning module is used for carrying out receiving and unloading calculation on a target vehicle to obtain vehicle receiving and unloading capacity parameters, determining a starting number based on the vehicle receiving and unloading capacity parameters, carrying out intelligent queuing planning on the rest vehicles, and generating a queuing planning scheme, wherein the queuing planning scheme comprises a channel starting instruction; and the number calling module activates the data channel to execute queuing number calling through the channel starting instruction.

Description

Method and system for dynamically planning intelligent queuing number calling of coal-carrying vehicle outside factory Technical Field The invention relates to the technical field of intelligent scheduling, in particular to a method and a system for dynamically planning intelligent queuing and calling of coal-carrying vehicles outside a factory. Background As the volume of coal traffic continues to increase, the concentration of off-site coal vehicles in a power plant is becoming more frequent, often requiring long waiting lines before the vehicles enter the power plant. The existing queuing management mode generally depends on manual scheduling or a simple first-come first-serve strategy, and the comprehensive consideration of vehicle source mining points, real-time blending requirements and power plant receiving and unloading capacity is lacked, so that the vehicle priority is not reasonably divided, and vehicles at special mining points cannot be timely identified or vehicles meeting the real-time blending requirements can not be timely identified. On the other hand, the power plant connection and disconnection capability has dynamic change characteristics, but the traditional scheduling mode cannot be combined with the connection and disconnection capability to carry out number calling distribution, so that the vehicle queuing time is long, the scheduling is unbalanced, the coal unloading efficiency is low, and even the channel congestion and resource idling are caused. Disclosure of Invention The application provides a method and a system for dynamically planning intelligent queuing and calling of coal-carrying vehicles outside a factory, which solve the technical problems of long vehicle waiting time and lower receiving and unloading efficiency in the prior art. The application provides a method for dynamically planning intelligent queuing and calling of coal-moving vehicles outside a factory, which comprises the following steps: The method comprises the steps of acquiring a preset dispatching rule of a power plant, acquiring dynamic data of coal transportation vehicles in a geofence range of the power plant according to the dispatching rule, positioning special mine point identifiers and real-time blending mine point identifiers, screening the special mine point identifiers and the real-time blending mine point identifiers based on the dynamic data of the coal transportation vehicles, determining a target vehicle with high priority, carrying out receiving and unloading calculation on the target vehicle to obtain vehicle receiving and unloading capacity parameters, determining a starting number based on the vehicle receiving and unloading capacity parameters, carrying out intelligent queuing planning on the rest vehicles, generating a queuing planning scheme, wherein the queuing planning scheme comprises a channel starting instruction, and activating a data channel to execute queuing number calling through the channel starting instruction. In a second aspect of the present application, there is provided a system for dynamically planning intelligent queuing and calling for coal-moving vehicles outside a factory, the system comprising: The system comprises a data acquisition module, a queuing planning module and a queuing planning module, wherein the data acquisition module acquires preset dispatching rules of a power plant, acquires dynamic data of coal transportation vehicles in a geofence range of the power plant according to the dispatching rules, the screening module positions special mine point identifiers and real-time blending mine point identifiers, screens the special mine point identifiers and the real-time blending mine point identifiers based on the dynamic data of the coal transportation vehicles, determines target vehicles with high priority, the queuing planning module calculates the target vehicles to obtain vehicle receiving capacity parameters, determines starting numbers based on the vehicle receiving capacity parameters, performs intelligent queuing planning on the rest vehicles, and generates a queuing planning scheme, the queuing planning scheme comprises a channel starting instruction, and the queuing planning module activates a data channel to execute queuing through the channel starting instruction. One or more technical schemes provided by the application have at least the following technical effects or advantages: Firstly, a preset dispatching rule of a power plant is obtained, and coal transportation vehicle dynamic data in the range of a power plant geofence are collected according to the dispatching rule. And then, positioning a special mine point identifier and a real-time blending mine point identifier, screening based on the coal transportation vehicle dynamic data in combination with the special mine point identifier and the real-time blending mine point identifier, and determining a target vehicle with high priority. And then, carrying out receiving and unloading calc