CN-121352419-B - Intelligent scheduling method and device for medical waste transport vehicle

CN121352419BCN 121352419 BCN121352419 BCN 121352419BCN-121352419-B

Abstract

The application relates to an intelligent dispatching method and device for medical waste transport vehicles, and relates to the technical field of vehicle dispatching, wherein the method comprises the steps of determining medical waste information of medical institutions and waste information of centralized treatment centers based on received dispatching requests of the medical waste transport vehicles; the method comprises the steps of determining a scheduled target area and a target medical waste transport vehicle, dividing the target area into a plurality of subareas, determining a first scheduling path of the target subarea and the target medical waste transport vehicle in the target area based on second scheduling parameters, scheduling the target medical waste transport vehicle based on scheduling instructions generated by the first scheduling path and the target subarea, and adjusting the first scheduling path according to third scheduling parameters in the scheduling process to generate a second scheduling path until the target medical waste transport vehicle is scheduled.

Inventors

ZHONG HANG

Assignees

柏森智慧空间科技集团有限公司

Dates

Publication Date: 20260508
Application Date: 20251217

Claims (7)

1. An intelligent scheduling method for medical waste transport vehicles, the method comprising: In response to receiving a scheduling request of a medical waste transport vehicle, determining a first scheduling parameter based on the scheduling request, the first scheduling parameter including at least medical waste information of a medical institution and waste information of a centralized disposal center; Determining a target area for medical waste transport vehicle dispatch and a target medical waste transport vehicle based on the medical waste information of the medical institution and the waste information of the centralized disposal center, and dividing the target area into a plurality of sub-areas; Acquiring a second scheduling parameter, determining a target subarea based on the second scheduling parameter, and determining a first scheduling path of the target medical waste transport vehicle in the target area based on the target subarea, wherein the second scheduling parameter at least comprises state information and traffic condition information of the target medical waste transport vehicle; generating a scheduling instruction based on the first scheduling path and the target sub-region, and scheduling the target medical waste transport vehicle based on the scheduling instruction; when the target medical waste transport vehicle is scheduled, the first scheduling path is adjusted according to a third scheduling parameter, a second scheduling path is generated until the target medical waste transport vehicle is scheduled, and the third scheduling parameter is used for describing state information acquired in real time; Dividing the target region into a plurality of sub-regions includes: Acquiring the historical medical waste transport vehicle load of the target area, and dividing the target area once based on the historical medical waste transport vehicle load to obtain a plurality of divided areas; Determining an association parameter between every two divided areas, and secondarily dividing the target area to obtain a plurality of subareas in response to the association parameter being greater than or equal to a second preset threshold value and the absolute value of the distance parameter between every two divided areas being smaller than or equal to a third preset threshold value, wherein the calculation method of the association parameter comprises the following steps: Wherein, the Representing the parameters of the association, And Each of which represents an association coefficient, The number of alternative paths is indicated and, Respectively representing the load amounts of the two divided areas; acquiring a second scheduling parameter, and determining the target sub-region based on the second scheduling parameter comprises: Determining the congestion degree of the first subarea according to the traffic road condition information, wherein the congestion degree passes through A computational determination is made, wherein, The degree of congestion is indicated as being indicative of, Respectively representing the current traffic flow, the expected incoming traffic flow and the expected outgoing traffic flow, Representing theoretical capacity; Determining a capacity parameter of the target medical waste transport vehicle entering the first subarea according to the state information of the target medical waste transport vehicle, wherein the capacity parameter calculating method is as follows , wherein, The parameter of the transport capacity is indicated, Indicating the maximum approved load capacity of the transport vehicle, Representing the current real-time load capacity, The total planning time is indicated as such, The time of the transportation is indicated to be already, Indicating the estimated time to reach the end point, Indicating the total weight of the historically completed transportation, Representing a total duration of historical service in the first sub-region; Determining a first scheduling value of the first sub-area based on the congestion degree of the first sub-area and the transport capacity parameter of the target medical waste transport vehicle entering the first sub-area, wherein the calculation method of the first scheduling value comprises the following steps of , wherein, A first scheduling value is indicated and a first scheduling value is indicated, Are all weight coefficients; determining the first sub-region as the target sub-region in response to the first scheduling value being greater than a fourth preset threshold; Based on the target sub-region, determining a first dispatch path for the target medical waste transport vehicle at the target region includes: acquiring a first target sub-region and two target sub-regions adjacent to the first target sub-region; In response to the first target sub-region being connected with a medical institution within a target region, defining a connection node as a start node of the first scheduling path, and defining a centralized treatment center within the target region as a termination node of the first scheduling path; In response to the first target sub-region being connected with an adjacent target sub-region, defining a connection node as a start node or a termination node of the first scheduling path in the first target sub-region; determining a target scheduling sub-path of the first scheduling path in the first target subarea based on a starting node and a terminating node in the first target subarea; The first scheduling path is determined based on a plurality of target scheduling sub-paths, a starting node of the first scheduling path, and a terminating node of the first scheduling path.
2. The intelligent scheduling method of a medical waste transport vehicle according to claim 1, wherein in response to receiving a scheduling request for a medical waste transport vehicle, determining a first scheduling parameter based on the scheduling request comprises: Responding to a received dispatching request of a medical waste transport vehicle, and analyzing the dispatching request of the medical waste transport vehicle to obtain medical institution position information and centralized treatment center position information; determining medical waste information of a medical institution and waste information of a centralized treatment center, respectively, based on the medical institution location information and the centralized treatment center location information; and respectively associating the medical institution location information and the centralized treatment center location information with medical waste information of the medical institution and waste information of the centralized treatment center to generate the first scheduling parameter.
3. The intelligent scheduling method of medical waste transport vehicles according to claim 2, wherein determining a target area for medical waste transport vehicle scheduling and a target medical waste transport vehicle based on medical waste information of the medical institution and waste information of the centralized disposal center comprises: Acquiring medical waste information of the medical institution, the medical waste information including at least one of medical waste inventory, category of medical waste, and medical waste inventory duration; Acquiring waste information of the centralized disposal center, the waste information including at least one of remaining medical waste disposal capacity, dynamically storable medical waste quantity, and medical waste disposal category; Acquiring status information of the medical waste transport vehicle, the status information including at least one of location information, transportable medical waste class, and transportable medical waste quantity; Determining fitting parameters of medical waste information of the medical institution, waste information of the centralized treatment center, and status information of the medical waste transport vehicle based on a fitting function; determining that the medical waste transport vehicle is the target medical waste transport vehicle in response to the fitting parameter being greater than a first preset threshold; the target area is determined based on the location information of the target medical waste transport vehicle, the location information of the medical facility, and the location information of the centralized treatment center.
4. The intelligent scheduling method of a medical waste transport vehicle of claim 3, wherein generating scheduling instructions based on the first scheduling path and the target sub-region, and scheduling the target medical waste transport vehicle based on the scheduling instructions comprises: acquiring a first scheduling path in the target subarea; generating a scheduling instruction based on the first scheduling path, wherein the scheduling instruction at least comprises a navigation route generated based on the first scheduling path, an access sequence of medical institutions in target subareas and time for reaching each target subarea; And sending the scheduling instruction to a terminal of the target medical waste transport vehicle to schedule the target medical waste transport vehicle based on the scheduling instruction.
5. The intelligent scheduling method of a medical waste transport vehicle according to claim 4, wherein adjusting the first scheduling path according to a third scheduling parameter during scheduling, generating a second scheduling path comprises: acquiring real-time state information, wherein the real-time state information comprises a second scheduling value of a target subarea; Adjusting a target scheduling sub-path in the first scheduling path to generate a second scheduling path in response to the second scheduling value being greater than a fifth preset threshold and smaller than or equal to a fourth preset threshold; And in response to the second scheduling value being smaller than or equal to a fifth preset threshold value, adjusting a target sub-region in the first scheduling path to generate the second scheduling path.
6. An intelligent scheduling apparatus for a medical waste transport vehicle for implementing the intelligent scheduling method for a medical waste transport vehicle according to any one of claims 1 to 5, characterized in that the apparatus comprises: A dispatch parameter determination module for determining, in response to receiving a dispatch request for a medical waste transport vehicle, a first dispatch parameter based on the dispatch request, the first dispatch parameter including at least medical waste information for a medical facility and waste information for a centralized disposal center; A region determination module for determining a target region for medical waste transport vehicle dispatch and a target medical waste transport vehicle based on medical waste information of the medical institution and waste information of the centralized disposal center, and dividing the target region into a plurality of sub-regions; the scheduling path determining module is used for acquiring a second scheduling parameter, determining a target subarea based on the second scheduling parameter, and determining a first scheduling path of the target medical waste transport vehicle in the target area based on the target subarea, wherein the second scheduling parameter at least comprises state information and traffic road condition information of the target medical waste transport vehicle; The scheduling module is used for generating scheduling instructions based on the first scheduling path and the target subarea and scheduling the target medical waste transport vehicle based on the scheduling instructions; And the adjusting module is used for adjusting the first scheduling path according to a third scheduling parameter when the target medical waste transport vehicle is scheduled, generating a second scheduling path until the target medical waste transport vehicle is scheduled, wherein the third scheduling parameter is used for describing state information acquired in real time.
7. The intelligent scheduling apparatus of claim 6, wherein, in response to receiving a scheduling request for a medical waste transport vehicle, determining a first scheduling parameter based on the scheduling request comprises: Responding to a received dispatching request of a medical waste transport vehicle, and analyzing the dispatching request of the medical waste transport vehicle to obtain medical institution position information and centralized treatment center position information; determining medical waste information of a medical institution and waste information of a centralized treatment center, respectively, based on the medical institution location information and the centralized treatment center location information; and respectively associating the medical institution location information and the centralized treatment center location information with medical waste information of the medical institution and waste information of the centralized treatment center to generate the first scheduling parameter.

Description

Intelligent scheduling method and device for medical waste transport vehicle Technical Field The application relates to the technical field of vehicle dispatching, in particular to an intelligent dispatching method and device for medical waste transport vehicles. Background Medical waste is used as dangerous waste with high infectivity, toxicity and other hazard characteristics, the safe, efficient and compliant transportation treatment is an important guarantee of public health and environmental safety, however, the transportation scheduling management of the current medical waste is still generally dependent on the traditional manual experience mode, the mode has serious shortages in terms of data perception, decision intelligence and response agility, the mode has difficulty in adapting to the increasing and increasingly strict supervision requirements of waste quantity generated by modern medical systems, in particular, in terms of scheduling efficiency, a dispatcher carries out rough planning only by virtue of historical experience and fixed routes, dynamic waste inventory of each medical institution, the accurate position of vehicles, real-time traffic road conditions and other multidimensional information cannot be accurately acquired in real time, a large number of unnecessary idle mileage and waiting time are generated, the cost of fuel and vehicles is directly increased, the receiving treatment capacity of a bicycle is greatly limited, the traditional mode lacks an effective intelligent decision support system in terms of emergency response and risk management, the medical institution is easy to increase, the transportation mechanism is easy to encounter sudden failure, the situation of transportation vehicle or sudden failure, the situation of traffic jams, the safety is not easily formed by the current safety, the safety and communication between the public safety and the safety is prolonged, the safety and environmental safety is not guaranteed, the safety and the safety is greatly prolonged, the safety and the safety of the safety and the environmental safety information are guaranteed, the method is difficult to meet the requirement of accurate supervision, in the aspect of resource overall planning, the existing method lacks the prediction and global optimization capability based on data driving, and cannot predict the future waste production according to regional medical activities, so that prospective capacity deployment is carried out, and the situation that the capacity distribution among the regions is uneven, part of vehicles are overloaded, and the other part of vehicles are idle and resources are mismatched is often caused. Disclosure of Invention In view of the foregoing, it is desirable to provide an intelligent scheduling method and apparatus for medical waste transport vehicles that can improve scheduling efficiency and reduce scheduling costs. In a first aspect, there is provided a method of intelligent scheduling of a medical waste transport vehicle, the method comprising: In response to receiving a scheduling request of a medical waste transport vehicle, determining a first scheduling parameter based on the scheduling request, the first scheduling parameter including at least medical waste information of a medical institution and waste information of a centralized disposal center; Determining a target area for medical waste transport vehicle dispatch and a target medical waste transport vehicle based on the medical waste information of the medical institution and the waste information of the centralized disposal center, and dividing the target area into a plurality of sub-areas; Acquiring a second scheduling parameter, determining a target subarea based on the second scheduling parameter, and determining a first scheduling path of the target medical waste transport vehicle in the target area based on the target subarea, wherein the second scheduling parameter at least comprises state information and traffic condition information of the target medical waste transport vehicle; generating a scheduling instruction based on the first scheduling path and the target sub-region, and scheduling the target medical waste transport vehicle based on the scheduling instruction; and when the target medical waste transport vehicle is scheduled, the first scheduling path is adjusted according to a third scheduling parameter, a second scheduling path is generated until the target medical waste transport vehicle is scheduled, and the third scheduling parameter is used for describing state information acquired in real time. Optionally, in response to receiving a scheduling request for a medical waste transport vehicle, determining the first scheduling parameter based on the scheduling request includes: Responding to a received dispatching request of a medical waste transport vehicle, and analyzing the dispatching request of the medical waste transport vehicle to obtain medical institution positio