Artificial intelligence optimal emergency medical logistics distribution method

Abstract

The invention relates to an artificial intelligence optimal emergency medical logistics distribution method, and the method comprises the steps: taking a line segment of a starting point and a receiving point in an extracted medical material logistics distribution list as a starting and ending reference line segment of a medical material distribution path; a logistics distribution coverage area corresponding to the medical material logistics distribution list is constructed based on processing of the reference line segment, a primary distribution point set and a preferable distribution point which are suitable for the logistics distribution coverage area are selected from all distribution points, and then an emergency medical material distribution path is constructed; the emergency medical material distribution path is optimized by combining the environment information in the logistics distribution coverage area to obtain the optimal emergency medical material distribution path, and then the emergency medical materials are distributed according to the optimal emergency medical material distribution path. Thus, the optimal distribution path suitable for emergency medical material transportation is formulated based on the information recorded in the medical material logistics distribution list, and it is ensured that the emergency medical materials can be quickly and efficiently distributed to a medical material urgent need place in time.

Description

Technical Field

[0001] The present invention relates to the field of logistics monitoring, and in particular to an artificial intelligence optimal emergency medical logistics distribution method. Background Art

[0002] As a special form of logistics activities in modern logistics, emergency medical logistics has important special significance in responding to public emergencies such as earthquakes or mudslides.

[0003] Taking into account the characteristics of public emergencies, emergency medical supplies must be delivered to the place where the public emergency occurs (or the place where emergency medical supplies are urgently needed) as soon as possible to ensure that people affected by the public emergency receive medical treatment in time.

[0004] At present, for emergency medical supplies, logistics distribution routes are planned according to the origin and receipt of emergency medical supplies (i.e., the place where emergency medical supplies are urgently needed), and the planning of logistics distribution routes mainly considers the distribution capacity of each distribution point responsible for the distribution of emergency medical supplies. However, it does not take into account the adverse effects of the surrounding environment (traffic environment, weather environment) of each distribution point on the distribution process of emergency medical supplies. It is very easy to lead to the inability to adjust the planned logistics distribution routes according to the actual conditions of the surrounding environment of the distribution point. Such traditional distribution methods of emergency medical supplies are difficult to meet the needs of more efficient emergency medical supplies distribution. Summary of the Invention

[0005] In view of this, the technical problem to be solved by the present invention is to provide an artificial intelligence optimal emergency medical logistics distribution method for the above-mentioned existing technology.

[0006] The technical solution adopted by the present invention to solve the above technical problems is: an artificial intelligence optimal emergency medical logistics distribution method, which is characterized by comprising the following steps:

[0007] Step 1: Extract the departure point and the receiving point from the medical supplies logistics delivery order, and use the line segment connecting the departure point and the receiving point as the starting and ending reference line segments of the medical supplies distribution route;

[0008] Step 2: Construct a logistics distribution coverage area corresponding to the medical supplies logistics distribution order, using the midpoint of the starting and ending reference line segments of the medical supplies distribution path as the center and half the length of the starting and ending reference line segments of the medical supplies distribution path as the radius;

[0009] Step 3: Select all preliminary distribution points within the logistics distribution coverage area from all distribution points responsible for the distribution of emergency medical supplies, and form a preliminary distribution point set from all selected preliminary distribution points;

[0010] Step 4: Based on the medical supplies logistics distribution order for emergency medical supplies, select preferred distribution points from the set of preselected distribution points that match the current medical supplies logistics distribution order, and form a set of preferred distribution points from all preferred distribution points; the medical supplies logistics distribution order includes information on the departure point, receiving point, and storage conditions for the medical supplies;

[0011] Step 5: Based on the medical supplies logistics distribution order and the set of preferred distribution points, construct an emergency medical supplies distribution route that is adapted to the current medical supplies logistics distribution order;

[0012] Step 6: Obtain environmental information within the logistics distribution coverage area, and optimize the emergency medical supply distribution route based on the environmental information to obtain the optimal emergency medical supply distribution route; wherein the environmental information includes traffic environment information and weather environment information, the traffic environment information includes traffic congestion information, and the weather environment information includes normal weather and severe weather that has an adverse impact on traffic operations;

[0013] Step 7: Distribute the emergency medical supplies according to the obtained optimal distribution route for the emergency medical supplies.

[0014] Improved, in the artificial intelligence optimal emergency medical logistics distribution method, in step 4, the process of selecting the preferred distribution point includes the following steps a1 to a3:

[0015] Step a1: pre-acquire traffic congestion information for the default output routes of each of the preliminary delivery points in the set of preliminary delivery points within each preset delivery time period, and form a set of traffic congestion prior information using all the acquired traffic congestion information; wherein the preliminary delivery points correspond one-to-one to the default output routes, and the default output routes are the driving routes of the delivery vehicles from the exit of the preliminary delivery point to the intersection with the traffic light closest to the exit of the preliminary delivery point; the traffic congestion information includes the preliminary delivery point information, each preset delivery time period, and the traffic congestion index corresponding to the preset delivery time period; the pre-acquired traffic congestion information for the default output routes of the preliminary delivery points within each preset delivery time period serves as the traffic congestion prior information;

[0016] Step a2: Obtain the loadable delivery status of each preliminarily selected delivery point; wherein the loadable delivery status information includes the number of idle delivery personnel, the number of idle delivery vehicles, and the cargo-carrying parameters of each delivery vehicle;

[0017] Step a3: Determine the optimal distribution point suitable for the current distribution of emergency medical supplies based on the estimated distribution time period of emergency medical supplies from each preliminary distribution point, the established prior information set on traffic congestion, and the load capacity of each preliminary distribution point.

[0018] Furthermore, in the artificial intelligence optimal emergency medical logistics distribution method, in step a3, the process of determining the preferred distribution point suitable for the current emergency medical supplies distribution includes the following steps a31 to a34:

[0019] Step a31, calculating the loadability delivery index of each preliminary selected delivery point according to the loadability delivery status of each preliminary selected delivery point, and calculating the average loadability delivery index of all loadability delivery indices;

[0020] Step a32, selecting the primary distribution point corresponding to the loadable distribution index greater than the obtained average value of the loadable distribution index as the first-level distribution point;

[0021] Step a33: Based on the traffic congestion prior information set, the traffic congestion index corresponding to the estimated delivery time period of each first-level delivery point is matched; wherein the estimated delivery time period of each first-level delivery point is matched one-to-one with the preset delivery time period in the traffic congestion prior information set;

[0022] In step a34, the first-level distribution point whose traffic congestion index is less than the preset traffic congestion index threshold is selected as the preferred distribution point suitable for the current emergency medical supplies distribution; wherein, for the same estimated distribution time period, the first-level distribution point with the smallest traffic congestion index is selected as the preferred distribution point suitable for the current emergency medical supplies distribution.

[0023] Further improved, in the artificial intelligence optimal emergency medical logistics distribution method, the emergency medical supplies distribution path in step 5 is formed by connecting all selected preferred distribution points in sequence.

[0024] Furthermore, in the artificial intelligence optimal emergency medical logistics distribution method, the process of sequentially connecting all selected preferred distribution points to form the emergency medical supplies distribution path includes the following steps b1 to b3:

[0025] Step b1, obtaining the distance between each preferred delivery point and the starting point in the medical supplies logistics delivery order;

[0026] Step b2: numbering each preferred delivery point in ascending order of distance to obtain a delivery number sequence; wherein the delivery number sequence is composed of multiple delivery numbers, each delivery number corresponding to a preferred delivery point;

[0027] Step b3: connecting the preferred delivery points in sequence according to the order of the numbers in the delivery number sequence, and using the entire connection line formed after the connection as the emergency medical supplies delivery route.

[0028] Further improved, in the artificial intelligence optimal emergency medical logistics distribution method, in step 6, the process of optimizing and obtaining the optimal distribution path of the emergency medical supplies includes the following steps c1 to c4:

[0029] Step c1, obtaining estimated arrival times of the emergency medical supplies to be delivered to each preferred delivery point in sequence; wherein, during the delivery process, the emergency medical supplies are delivered from a previous preferred delivery point to a subsequent preferred delivery point;

[0030] Step c2: Obtain weather forecast information for each preferred delivery point at its corresponding estimated arrival time;

[0031] Step c3: determining whether the weather forecast information for each preferred delivery point indicates severe weather conditions.

[0032] If the weather forecast for any preferred distribution point is severe, proceed to step c4; otherwise, continue to distribute the emergency medical supplies according to the original distribution route.

[0033] Step c4: Send a jump-point delivery request to the logistics and delivery management party, and process it according to the feedback from the logistics and delivery management party:

[0034] When the feedback allows skip-point delivery, the delivery vehicle is instructed to skip any preferred delivery point and directly deliver to the next preferred delivery point after any preferred delivery point; otherwise, the delivery vehicle is instructed to continue delivering the emergency medical supplies to any preferred delivery point.

[0035] Improved, in this invention, the artificial intelligence optimal emergency medical logistics distribution method further includes a process of supporting distribution to the preferred distribution point; wherein the process of supporting distribution includes the following steps d1 to d3:

[0036] Step d1: taking each preferred delivery point on the emergency medical supplies delivery route that the delivery vehicle has not yet reached as a to-be-reached delivery point, and estimating the loadable delivery index of each to-be-reached delivery point when the delivery vehicle reaches it;

[0037] Step d2: Make a judgment based on the estimated loadable delivery index of each delivery point to be delivered:

[0038] If the estimated loadable distribution index value of any of the delivery points to be reached is less than the preset loadable distribution index threshold, the delivery point to be reached is designated as a delivery point to be supported, and the process proceeds to step d3; otherwise, the delivery vehicle is instructed to continue delivering the emergency medical supplies to the delivery point to be reached.

[0039] Step d3: Select a supporting distribution point for the distribution point to be supported from all distribution points in the set of preliminary distribution points that are not selected as preferred distribution points, and let the supporting distribution point replace the current distribution point to be supported to perform the distribution work of emergency medical supplies.

[0040] Furthermore, in the artificial intelligence optimal emergency medical logistics distribution method, in step d3, the process of selecting the support distribution point includes the following steps:

[0041] Step d31, obtaining the waiting support interval distances of all the preliminary delivery points in the set of preliminary delivery points that are not selected as preferred delivery points from the waiting support delivery points;

[0042] Step d32, selecting all the preselected delivery points whose interval distance to be supported is less than a preset distance value as preselected support delivery points;

[0043] Step d33: Selecting a preliminary supporting delivery point that is located among all preliminary supporting delivery points and has the smallest support interval distance as the supporting delivery point.

[0044] Compared with the existing technology, the advantages of the present invention are as follows: the invention uses the line segments of the starting point and the receiving point in the extracted medical supplies logistics distribution order as the starting and ending reference line segments of the medical supplies distribution path, and constructs the logistics distribution coverage area corresponding to the medical supplies logistics distribution order based on the processing of the reference line segments, and selects the preliminary distribution point set and the preferred distribution point suitable for the logistics distribution coverage area from all the distribution points, and then constructs the emergency medical supplies distribution path, and optimizes the emergency medical supplies distribution path in combination with the environmental information in the logistics distribution coverage area to obtain the best distribution path for emergency medical supplies, and then distributes the emergency medical supplies according to the obtained best distribution path for emergency medical supplies. In this way, the best distribution path suitable for the transportation of emergency medical supplies is formulated based on the information recorded in the medical supplies logistics distribution order, ensuring that the emergency medical supplies can be distributed to the places where the medical supplies are urgently needed in a timely and rapid manner, thereby improving the efficiency of emergency medical supplies distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 This is a flow chart of an optimal emergency medical logistics distribution method using artificial intelligence in an embodiment of the present invention;

[0047] Figure 2 Schematic diagram of the process flow for selecting the preferred delivery point in an embodiment of the present invention;

[0048] Figure 3 Schematic diagram of the process flow for determining the optimal distribution point suitable for the current emergency medical supplies distribution in an embodiment of the present invention;

[0049] Figure 4 This is a schematic diagram of the process of optimizing the process to obtain the best distribution path for emergency medical supplies in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0051] To facilitate understanding of the embodiments of the present invention, specific embodiments will be further explained below with reference to the accompanying drawings. The embodiments do not limit the embodiments of the present invention.

[0052] The present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0053] This embodiment provides an artificial intelligence optimal emergency medical logistics distribution method. Figure 1 As shown, the artificial intelligence optimal emergency medical logistics distribution method in this embodiment includes the following steps:

[0054] Step 1: Extract the departure point and the receiving point from the medical supplies logistics delivery order, and use the line segment connecting the departure point and the receiving point as the starting and ending reference line segments of the medical supplies distribution route;

[0055] Step 2: Construct a logistics distribution coverage area corresponding to the medical supplies logistics distribution order, using the midpoint of the starting and ending reference line segments of the medical supplies distribution path as the center and half the length of the starting and ending reference line segments of the medical supplies distribution path as the radius;

[0056] Step 3: Select all the preliminary distribution points located in the logistics distribution coverage area from all the distribution points responsible for the distribution of emergency medical supplies, and form a preliminary distribution point set from all the selected preliminary distribution points; for example, in this embodiment, the preliminary distribution point set is marked as S0, S0 = {s1, s2, ..., S N-1 ,S N};s nis the nth primary distribution point in the set of primary distribution points S0, N is the total number of primary distribution points in the set of primary distribution points S0, 1≤n≤N;

[0057] Step 4: Based on the medical supplies logistics distribution order for emergency medical supplies, select preferred distribution points from the set of preselected distribution points that match the current medical supplies logistics distribution order, and form a set of preferred distribution points from all preferred distribution points; the medical supplies logistics distribution order includes information on the departure point, receiving point, and storage conditions for the medical supplies;

[0058] Step 5: Based on the medical supplies logistics distribution order and the set of preferred distribution points, construct an emergency medical supplies distribution route that is adapted to the current medical supplies logistics distribution order;

[0059] Step 6: Obtain environmental information within the logistics distribution coverage area, and optimize the emergency medical supply distribution route based on the environmental information to obtain the optimal emergency medical supply distribution route; wherein the environmental information includes traffic environment information and weather environment information, the traffic environment information includes traffic congestion information, and the weather environment information includes normal weather and severe weather that has an adverse impact on traffic operations;

[0060] Step 7: Distribute the emergency medical supplies according to the obtained optimal distribution route for the emergency medical supplies.

[0061] Specifically in this embodiment, when executing step 4, the process of selecting the preferred delivery point includes the following steps a1 to a3:

[0062] Step a1: pre-acquire traffic congestion information for the default output routes of each of the preliminary delivery points in the set of preliminary delivery points within each preset delivery time period, and form a set of traffic congestion prior information using all the acquired traffic congestion information; wherein the preliminary delivery points correspond one-to-one to the default output routes, and the default output routes are the driving routes of the delivery vehicles from the exit of the preliminary delivery point to the intersection with the traffic light closest to the exit of the preliminary delivery point; the traffic congestion information includes the preliminary delivery point information, each preset delivery time period, and the traffic congestion index corresponding to the preset delivery time period; the pre-acquired traffic congestion information for the default output routes of the preliminary delivery points within each preset delivery time period serves as the traffic congestion prior information;

[0063] Step a2: Obtain the loadable delivery status of each preliminarily selected delivery point; the loadable delivery status information includes the number of idle delivery personnel, the number of idle delivery vehicles, and the cargo allocation parameters of each delivery vehicle, wherein the cargo allocation parameters of the delivery vehicle include the weight of the cargo that can be assembled;

[0064] Step a3: Determine the optimal delivery point for the current emergency medical supplies distribution based on the estimated delivery time period for the emergency medical supplies from each preselected delivery point, the established priori traffic congestion information, and the load capacity of each preselected delivery point. The estimated delivery time period can be estimated using established travel (driving pattern) time estimation methods, so this will not be detailed here.

[0065] There are many ways to determine the preferred distribution point. Of course, this embodiment adopts the following method to determine the preferred distribution point. That is, in step a3, the process of determining the preferred distribution point suitable for the current emergency medical supplies distribution includes the following steps a31 to a34:

[0066] Step a31, according to the loadable delivery status of each preliminary delivery point, calculate the loadable delivery index of each preliminary delivery point respectively, and calculate the loadable delivery index average of all loadable delivery indexes; wherein, the loadable delivery index of the preliminary delivery point s n The load distribution index is marked as Ωs n ; The average value of all load-delivery indices is denoted as μΩ:

[0067] Ωs n =min(P,M)·{Qs n / min(P,M)};Qs n =q1+q2+…+q M ;

[0068] μ Ω =(Ωs1+Ωs2…+Ωs M ) / M;

[0069] Among them, P is the primary distribution point s n The number of idle delivery personnel in the distribution center, M is the ... n The number of idle delivery vehicles in the

[0070] Qs n For the primary distribution point s n The total weight of the cargo that can be assembled on all idle vehicles in the n The weight of the cargo that can be assembled on the first delivery vehicle in the idle state, q2 is the initial delivery point s n The weight of the cargo that can be assembled on the second delivery vehicle in an idle state, q M For the primary distribution point s n The weight of cargo that can be assembled on the Mth delivery vehicle in an idle state;

[0071] Step a32, selecting the primary distribution point corresponding to the loadable distribution index greater than the obtained average value of the loadable distribution index as the first-level distribution point;

[0072] Step a33: Based on the aforementioned prior traffic congestion information set, a traffic congestion index corresponding to the estimated delivery time period of each first-level delivery point is obtained. The estimated delivery time period of each first-level delivery point is matched one-to-one with the preset delivery time period in the prior traffic congestion information set. It should be noted that the traffic congestion index herein may also be referred to as a road traffic operation index, which is a conventional technical term in the art.

[0073] The Road Traffic Operation Index ranges from 0 to 10 and is divided into five levels. 0-2, 2-4, 4-6, 6-8, and 8-10 correspond to "smooth traffic," "basically smooth traffic," "mild congestion," "moderate congestion," and "severe congestion," respectively. Higher values ​​on the Road Traffic Operation Index indicate more severe traffic congestion.

[0074] The specific data are as follows Table 1:

[0075]

[0076] Table 1

[0077] In step a34, the first-level distribution point whose traffic congestion index is less than the preset traffic congestion index threshold is selected as the preferred distribution point suitable for the current emergency medical supplies distribution; wherein, for the same estimated distribution time period, the first-level distribution point with the smallest traffic congestion index is selected as the preferred distribution point suitable for the current emergency medical supplies distribution.

[0078] In addition, it should be noted that in the AI-powered optimal emergency medical logistics distribution method of this embodiment, the emergency medical supplies distribution path in step 5 is formed by sequentially connecting all selected preferred distribution points. Specifically, the process of sequentially connecting all selected preferred distribution points to form the emergency medical supplies distribution path includes the following steps b1 to b3:

[0079] Step b1, obtaining the distance between each preferred delivery point and the origin point in the medical supplies logistics delivery order;

[0080] Step b2: numbering each preferred delivery point in ascending order of distance to obtain a delivery number sequence; wherein the delivery number sequence is composed of multiple delivery numbers, each delivery number corresponding to a preferred delivery point;

[0081] Step b3: Connect the preferred delivery points in sequence according to the order of the numbers in the delivery number sequence, and use the entire connection line formed after the connection as the aforementioned emergency medical supplies delivery route.

[0082] Of course, as the best way to optimize the process to obtain the optimal distribution path for emergency medical supplies, in step 6 of this embodiment, the process of optimizing the process to obtain the optimal distribution path for emergency medical supplies includes the following steps c1 to c4:

[0083] Step c1: Obtaining the estimated arrival time of the emergency medical supplies at each preferred delivery point in sequence. During the delivery process, the emergency medical supplies are delivered from a previous preferred delivery point to a subsequent preferred delivery point. The estimated arrival time can be estimated using existing, established methods for estimating travel (driving pattern) time consumption, and will not be further described here.

[0084] Step c2: Obtain weather forecast information for each preferred delivery point at its corresponding estimated arrival time;

[0085] Step c3: determining whether the weather forecast information for each preferred delivery point indicates severe weather conditions.

[0086] If the weather forecast for any preferred distribution point is severe, proceed to step c4; otherwise, continue to distribute emergency medical supplies along the original emergency medical supplies distribution route;

[0087] Step c4: Send a jump-point delivery request to the logistics and delivery management party, and process it according to the feedback from the logistics and delivery management party:

[0088] When the feedback allows skip-point delivery, the delivery vehicle is instructed to skip any preferred delivery point and directly deliver to the next preferred delivery point after any preferred delivery point; otherwise, the delivery vehicle is instructed to continue delivering the emergency medical supplies to any preferred delivery point.

[0089] In order to ensure that the normal distribution of emergency medical supplies is not affected by the status of individual preferred distribution points, the artificial intelligence optimal emergency medical logistics distribution method of this embodiment also includes a process of supporting distribution to the preferred distribution points. The support distribution process includes the following steps d1 to d3:

[0090] Step d1: taking each preferred delivery point on the emergency medical supplies delivery route that the delivery vehicle has not yet reached as a to-be-reached delivery point, and estimating the loadable delivery index of each to-be-reached delivery point when the delivery vehicle reaches it;

[0091] Step d2: Make a judgment based on the estimated loadable delivery index of each delivery point to be delivered:

[0092] If the estimated loadable distribution index value of any of the delivery points to be reached is less than the preset loadable distribution index threshold, the delivery point to be reached is designated as a delivery point to be supported, and the process proceeds to step d3; otherwise, the delivery vehicle is instructed to continue delivering the emergency medical supplies to the delivery point to be reached.

[0093] Step d3: Select a supporting distribution point for the distribution point to be supported from all distribution points in the set of preliminary distribution points that are not selected as preferred distribution points, and let the supporting distribution point replace the current distribution point to be supported to perform the distribution work of emergency medical supplies.

[0094] More specifically, with respect to the method for selecting the supporting delivery points mentioned in step d3 above, the process of selecting the supporting delivery points in this embodiment includes the following steps:

[0095] Step d31, obtaining the waiting support interval distances of all the preliminary delivery points that are in the set of preliminary delivery points and are not selected as preferred delivery points from the waiting support delivery point;

[0096] Step d32, selecting all the preselected delivery points whose interval distance to be supported is less than a preset distance value as preselected support delivery points;

[0097] In step d33, a preliminary selected supporting delivery point with the smallest waiting support interval distance among all preliminary selected supporting delivery points is selected as the supporting delivery point.

[0098] The present invention also provides a computer-readable storage medium. The aforementioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or as computer code that can be recorded on a storage medium, or downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the method described herein can be stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.

[0099] Furthermore, the storage medium may also include a combination of the aforementioned types of memories. It is understood that a computer, processor, microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the method shown in the embodiment is implemented.

[0100] A portion of the embodiments of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0101] Although the preferred embodiments of the present invention have been described in detail above, it should be clearly understood that various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. The best artificial intelligence emergency medical logistics distribution method is characterized by: The steps include: Step 1: Extract the departure point and the receiving point from the medical supplies logistics delivery order, and use the line segment connecting the departure point and the receiving point as the starting and ending reference line segments of the medical supplies distribution route; Step 2: Construct a logistics distribution coverage area corresponding to the medical supplies logistics distribution order, using the midpoint of the starting and ending reference line segments of the medical supplies distribution path as the center and half the length of the starting and ending reference line segments of the medical supplies distribution path as the radius; Step 3: Select all preliminary distribution points within the logistics distribution coverage area from all distribution points responsible for the distribution of emergency medical supplies, and form a preliminary distribution point set from all selected preliminary distribution points; Step 4: Based on the medical supplies logistics distribution order for emergency medical supplies, select preferred distribution points from the set of preselected distribution points that match the current medical supplies logistics distribution order, and form a set of preferred distribution points from all preferred distribution points; the medical supplies logistics distribution order includes information on the departure point, receiving point, and storage conditions for the medical supplies; Step 5: Based on the medical supplies logistics distribution order and the set of preferred distribution points, construct an emergency medical supplies distribution route that is adapted to the current medical supplies logistics distribution order; Step 6: Obtain environmental information within the logistics distribution coverage area, and optimize the emergency medical supply distribution route based on the environmental information to obtain the optimal emergency medical supply distribution route; wherein the environmental information includes traffic environment information and weather environment information, the traffic environment information includes traffic congestion information, and the weather environment information includes normal weather and severe weather that has an adverse impact on traffic operations; Step 7: Distribute the emergency medical supplies according to the obtained optimal distribution route for the emergency medical supplies.

2. The artificial intelligence optimal emergency medical logistics distribution method according to claim 1 is characterized in that: In step 4, the process of selecting the preferred delivery point includes the following steps a1 to a3: Step a1: pre-acquire traffic congestion information for the default output routes of each of the preliminary delivery points in the set of preliminary delivery points within each preset delivery time period, and form a set of traffic congestion prior information using all the acquired traffic congestion information; wherein the preliminary delivery points correspond one-to-one to the default output routes, and the default output routes are the driving routes of the delivery vehicles from the exit of the preliminary delivery point to the intersection with the traffic light closest to the exit of the preliminary delivery point; the traffic congestion information includes the preliminary delivery point information, each preset delivery time period, and the traffic congestion index corresponding to the preset delivery time period; the pre-acquired traffic congestion information for the default output routes of the preliminary delivery points within each preset delivery time period serves as the traffic congestion prior information; Step a2: Obtain the loadable delivery status of each preliminarily selected delivery point; wherein the loadable delivery status information includes the number of idle delivery personnel, the number of idle delivery vehicles, and the cargo-carrying parameters of each delivery vehicle; Step a3: Determine the optimal distribution point suitable for the current distribution of emergency medical supplies based on the estimated distribution time period of emergency medical supplies from each preliminary distribution point, the established prior information set on traffic congestion, and the load capacity of each preliminary distribution point.

3. The artificial intelligence optimal emergency medical logistics distribution method according to claim 2 is characterized in that: In step a3, the process of determining the preferred distribution point suitable for the current emergency medical supplies distribution includes the following steps a31 to a34: Step a31, calculating the loadability delivery index of each preliminary selected delivery point according to the loadability delivery status of each preliminary selected delivery point, and calculating the average loadability delivery index of all loadability delivery indices; Step a32, selecting the primary distribution point corresponding to the loadable distribution index greater than the obtained average value of the loadable distribution index as the first-level distribution point; Step a33: Based on the traffic congestion prior information set, the traffic congestion index corresponding to the estimated delivery time period of each first-level delivery point is matched; wherein the estimated delivery time period of each first-level delivery point is matched one-to-one with the preset delivery time period in the traffic congestion prior information set; In step a34, the first-level distribution point whose traffic congestion index is less than the preset traffic congestion index threshold is selected as the preferred distribution point suitable for the current emergency medical supplies distribution; wherein, for the same estimated distribution time period, the first-level distribution point with the smallest traffic congestion index is selected as the preferred distribution point suitable for the current emergency medical supplies distribution.

4. The artificial intelligence optimal emergency medical logistics distribution method according to claim 3 is characterized in that: The emergency medical supplies distribution path in step 5 is formed by connecting all the selected preferred distribution points in sequence.

5. The artificial intelligence optimal emergency medical logistics distribution method according to claim 4 is characterized in that: The process of connecting all selected preferred distribution points in sequence to form the emergency medical supplies distribution route includes the following steps b1 to b3: Step b1, obtaining the distance between each preferred delivery point and the starting point in the medical supplies logistics delivery order; Step b2: numbering each preferred delivery point in ascending order of distance to obtain a delivery number sequence; wherein the delivery number sequence is composed of multiple delivery numbers, each delivery number corresponding to a preferred delivery point; Step b3: connecting the preferred delivery points in sequence according to the order of the numbers in the delivery number sequence, and using the entire connection line formed after the connection as the emergency medical supplies delivery route.

6. The artificial intelligence optimal emergency medical logistics distribution method according to any one of claims 1 to 5, characterized in that: In step 6, the process of optimizing and obtaining the optimal distribution path for the emergency medical supplies includes the following steps c1 to c4: Step c1, obtaining estimated arrival times of the emergency medical supplies to be delivered to each preferred delivery point in sequence; wherein, during the delivery process, the emergency medical supplies are delivered from a previous preferred delivery point to a subsequent preferred delivery point; Step c2: Obtain weather forecast information for each preferred delivery point at its corresponding estimated arrival time; Step c3: determining whether the weather forecast information for each preferred delivery point indicates severe weather conditions. If the weather forecast for any preferred distribution point is severe, proceed to step c4; otherwise, continue to distribute the emergency medical supplies according to the original distribution route. Step c4: Send a jump-point delivery request to the logistics and delivery management party, and process it according to the feedback from the logistics and delivery management party: When the feedback allows skip-point delivery, the delivery vehicle is instructed to skip any preferred delivery point and directly deliver to the next preferred delivery point after any preferred delivery point; otherwise, the delivery vehicle is instructed to continue delivering the emergency medical supplies to any preferred delivery point.

Images