WO2025112697A1 - 资源分配方法、装置、设备及介质 - Google Patents

资源分配方法、装置、设备及介质 Download PDF

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Publication number
WO2025112697A1
WO2025112697A1 PCT/CN2024/113744 CN2024113744W WO2025112697A1 WO 2025112697 A1 WO2025112697 A1 WO 2025112697A1 CN 2024113744 W CN2024113744 W CN 2024113744W WO 2025112697 A1 WO2025112697 A1 WO 2025112697A1
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WIPO (PCT)
Prior art keywords
capacity
resource
equipment
transport
resources
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PCT/CN2024/113744
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English (en)
French (fr)
Inventor
姚华超
范敏
陈宇恒
赵峰
刘博�
邱明林
颜本军
王俊雄
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China Mobile Communications Group Co Ltd
China Mobile IoT Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile IoT Co Ltd
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Publication of WO2025112697A1 publication Critical patent/WO2025112697A1/zh
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/143—Sensing or illuminating at different wavelengths

Definitions

  • the present disclosure belongs to the field of resource processing technology, and in particular, relates to a resource allocation method, device, equipment and medium.
  • batches of resources are first stored at resource placement points, and then transported by transportation equipment of multiple organizations or individuals.
  • resources are loaded directly after the transportation equipment arrives at the resource placement point. Since the resources are not allocated, there may be a mismatch between the carrying capacity of resources and transportation equipment, and the resource processing efficiency is low.
  • the embodiments of the present disclosure provide a resource allocation method, apparatus, device, and medium, which solve the problem that resources may not match the carrying capacity of transportation equipment.
  • an embodiment of the present disclosure provides a resource allocation method, including:
  • the detection device When the detection device detects the transport equipment, acquiring the real-time distance between the detection device and the transport equipment and the image information of the transport equipment corresponding to the real-time distance, wherein the detection device is arranged at a target position with a preset distance from the resource placement point;
  • an embodiment of the present disclosure provides a resource allocation device, the device comprising:
  • a first acquisition module is used to acquire the real-time distance between the detection device and the transportation equipment and the image information of the transportation equipment corresponding to the real-time distance when the detection device detects the transportation equipment, and the detection device is set at a target position with a preset distance from the resource placement point;
  • a determination module used to determine the capacity of the transport equipment according to the real-time distance, the preset distance and the image information
  • a second acquisition module is used to acquire the remaining resource amount of the resource placement point
  • the allocation module is used to allocate resources corresponding to the capacity to the transportation equipment when the remaining resource amount is greater than or equal to the capacity.
  • an embodiment of the present disclosure provides an electronic device, comprising: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the steps of the resource allocation method described in any one of the embodiments of the first aspect are implemented.
  • an embodiment of the present disclosure provides a computer-readable storage medium having computer program instructions stored thereon.
  • the computer program instructions are executed by a processor, the steps of the resource allocation method as described in any one of the embodiments of the first aspect are implemented.
  • the resource allocation method, apparatus, device and medium of the embodiments of the present disclosure when there is a certain distance between the transportation equipment and the resource placement point, obtains image information of the transportation equipment through a detection device to determine the capacity of the transportation equipment based on the image information, and then allocates resources corresponding to the capacity to the transportation equipment by comparing the capacity with the remaining resources at the resource placement point, thereby completing the allocation of resources before the transportation equipment arrives at the resource placement point, improving the resource processing efficiency, and solving the problem of possible mismatch between resources and the carrying capacity of the transportation equipment.
  • FIG1 is a schematic diagram of a flow chart of a resource allocation method provided by an embodiment of the present disclosure
  • FIG2 is a schematic diagram of the structure of a resource allocation device provided by an embodiment of the present disclosure.
  • FIG. 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure.
  • batches of resources are first stored at resource placement points, and then transported by transportation equipment of multiple organizations or individuals.
  • resources are loaded directly after the transportation equipment arrives at the resource placement point. Since the resources are not allocated, there may be a mismatch between the resources and the carrying capacity of the transportation equipment.
  • embodiments of the present disclosure provide a resource allocation method, apparatus, device and medium.
  • Fig. 1 shows a schematic flow chart of a resource allocation method 100 according to an embodiment of the present disclosure. As shown in Fig. 1, the resource allocation method 100 may specifically include the following steps:
  • the image information of the transport equipment is obtained by the detection device to determine the capacity of the transport equipment according to the image information, so as to allocate resources corresponding to the capacity to the transport equipment by comparing the capacity with the remaining resources at the resource placement point, so as to complete the resource placement before the transport equipment arrives at the resource placement point.
  • the allocation of resources improves the efficiency of resource processing and solves the problem of possible mismatch between resources and the carrying capacity of transportation equipment.
  • step S101 since the detection device is set at a target position at a preset distance from the resource placement point, when the detection device initially detects the transportation equipment, the distance between the transportation equipment and the resource placement point is equal to the preset distance; as the transportation equipment moves and does not deviate from the detection range of the detection device, the distance between the transportation equipment and the resource placement point changes continuously with the real-time distance between the detection device and the transportation equipment, and the real-time image information of the transportation equipment collected by the detection device also corresponds to the real-time distance.
  • the detection device is an infrared sensor, and the image information collected is an infrared thermal imaging image.
  • the detection device may also be a laser sensor.
  • the thermal imaging module of the detection device detects the surrounding infrared energy and converts it into an electrical type for thermal imaging to obtain image information of the transport equipment; and, during the process of the thermal imaging module scanning the transport equipment for imaging, the infrared ranging unit performs real-time infrared ranging of the transport equipment, thereby monitoring the distance from the transport equipment to the resource placement point.
  • step S102 standard cell parameters are determined according to the preset distance; the image information is divided into multiple cells according to the standard cell parameters; correction parameters of the cells are determined according to the preset distance, real-time distance and standard cell parameters; the boundary distance of the image information is determined according to the correction parameters, and the boundary distance is determined as the geometric parameter information of the transport equipment; and the capacity of the transport equipment is determined according to the geometric parameter information.
  • a reference coordinate system of the image information may be established, and the unit length of the reference coordinate system may be determined by dividing the image information into cells.
  • the correction parameter of the cell that is, the actual side length q of the cell, can be determined according to the following formula:
  • the coordinates of the lateral extreme points in the thermal imaging contour of the locked screen are (x left , y left ) (x right , y right ), and the marked points are connected to fit the carriage fitting line of the transport equipment; then, the geometric parameter information of the transport equipment (i.e., the length of the carriage) can be determined by calculating the distance value of the lateral extreme points. Then, the length of the carriage of the transport equipment can be determined according to the following formula:
  • xleft , yleft , xright , and yright represent the coordinate values of each mark point under the current coordinate cell;
  • W represents the length of the carriage of the transportation equipment.
  • the accommodation space parameters of the transport equipment are determined; the product of the accommodation space parameters and a preset conversion coefficient is determined as the accommodation capacity of the transport equipment, and the preset conversion coefficient is determined based on the total amount of required resources and the remaining resources.
  • e k ⁇ W; where k represents the coefficient value of the conversion of the transport equipment accommodation space into the material allocation amount, which is a constant value.
  • the remaining amount of resources at the resource placement point may be equal to the total amount of required resources, or may be greater than or less than the capacity of the transportation equipment. It can be understood that different situations of the remaining amount of resources correspond to different resource allocation strategies. This solves the problem in the related art that it is impossible to adjust the resource allocation in real time according to the capacity of the actual transportation equipment, resulting in resource accumulation in some places, resource shortage in some places, and high cost caused by the back-and-forth scheduling of resources.
  • step S104 when the remaining amount of resources is greater than or equal to the capacity, a first scheduling prompt information instructing the scheduling of the transport equipment can be generated, and resources corresponding to the capacity can be allocated to the transport equipment, so that when the transport equipment arrives at the resource placement point, the corresponding resources can be quickly loaded on the transport equipment. In this way, the problem of low resource processing efficiency caused by finding that the capacity of the transport equipment cannot load all the current resources when the transport equipment arrives at the resource placement point is solved.
  • a second scheduling prompt information is generated, so that the target object schedules the corresponding resources to the resource placement point according to the second scheduling prompt information; thereby, the resources corresponding to the capacity are allocated to the transportation equipment.
  • a plurality of transport channels are provided at the resource placement point, and each transport channel corresponds one-to-one to a transport type, so that resources corresponding to the capacity can be loaded onto the transport equipment through the transport channel.
  • the transport type of the transport equipment can be determined based on the image information of the transport equipment obtained, so that the resources corresponding to the capacity are passed through the transport channel matching the transport type to load the resources onto the transport equipment. It can be understood that the resource type matches the transport type.
  • resource types may include food, daily necessities, and large equipment, etc.
  • transportation types may include food transportation type, daily necessities transportation type, and large equipment transportation type, etc.
  • the remaining amount of resources at the resource placement point after the loading task is completed is calculated based on the transportation type.
  • the product percentage value E is calculated and compared with the capacity e value: when E>e, it is determined that the transport equipment can be loaded, and the power type is output to the loading execution unit.
  • the loading execution unit controls the resource placement point to divide the materials, and loads the corresponding volume under the condition of consuming a volume of e; when E ⁇ e, it is determined that the material inventory at the resource placement point is insufficient to load enough transport equipment, and the power type is output to the expedited material replenishment warning unit.
  • the expedited material replenishment warning unit transmits it to the operation interface of the resource placement point operation end, prompting the resource placement point to perform an expedited material replenishment operation.
  • a first number of transportation equipment corresponding to each transportation type among the multiple transportation equipment is determined; and the transportation type corresponding to the largest value of the first number is determined as the target type; then, the transportation channel matching the target type among the multiple transportation channels is determined as the target channel; and the target operating parameters of the target channel are determined based on the pre-set standard operating parameters and the first number.
  • the non-target channels among the multiple transport channels are controlled to operate under standard operating parameters, and the target channels are controlled to operate under target operating parameters.
  • the non-target channels are channels among the multiple transport channels except the target channels.
  • the transport channel corresponding to the transport type can be accelerated to avoid channel congestion caused by a large number of resources of this type, thereby not affecting the efficiency of resource allocation and transport processing.
  • the present disclosure further provides a resource allocation device 200.
  • the resource allocation device 200 may include:
  • a first acquisition module 201 is used to acquire the real-time distance between the detection device and the transportation equipment and the image information of the transportation equipment corresponding to the real-time distance when the detection device detects the transportation equipment, and the detection device is set at a target position with a preset distance from the resource placement point;
  • a determination module 202 for determining the capacity of the transport equipment according to the real-time distance, the preset distance and the image information
  • the second acquisition module 203 is used to acquire the remaining resource amount of the resource placement point
  • the allocation module 204 is configured to allocate resources corresponding to the capacity to the transportation equipment when the remaining resource amount is greater than or equal to the capacity.
  • the resource allocation device 200 further includes a scheduling module (not shown in FIG. 2 ) for scheduling the resource allocation device 200 in the remaining resource allocation device 200.
  • a scheduling module (not shown in FIG. 2 ) for scheduling the resource allocation device 200 in the remaining resource allocation device 200.
  • the remaining resource amount is less than the capacity
  • scheduling information is generated so that the target object schedules the resources corresponding to the scheduling information to the resource placement point; and the resources corresponding to the capacity are allocated to the transportation equipment.
  • the resource placement point is provided with a plurality of transport channels, and the transport channels correspond one to one with the transport types.
  • the resource allocation device 200 also includes a loading module (not shown in Figure 2), which is used to determine the transportation type of the transportation equipment based on the image information; and pass the resources corresponding to the capacity through a transportation channel matching the transportation type to load the resources onto the transportation equipment, and the resource type matches the transportation type.
  • a loading module (not shown in Figure 2), which is used to determine the transportation type of the transportation equipment based on the image information; and pass the resources corresponding to the capacity through a transportation channel matching the transportation type to load the resources onto the transportation equipment, and the resource type matches the transportation type.
  • the determination module 202 is specifically used to determine the standard cell parameters according to the preset distance; divide the image information into multiple cells according to the standard cell parameters; determine the correction parameters of the cells according to the preset distance, the real-time distance and the standard cell parameters; determine the boundary distance of the image information according to the correction parameters, and determine the boundary distance as the geometric parameter information of the transport equipment; determine the capacity of the transport equipment according to the geometric parameter information.
  • the determination module 202 is also specifically used to determine the accommodation space parameters of the transportation equipment based on the geometric parameter information; the product of the accommodation space parameters and the preset conversion coefficient is determined as the accommodation capacity of the transportation equipment, and the preset conversion coefficient is determined based on the total amount of required resources and the remaining resources.
  • the detection device is an infrared sensor
  • the image information is an infrared thermal imaging image
  • the resource allocation device includes a material transport vehicle type storage module, a material allocation quantity analysis module and an execution judgment module.
  • the material transport vehicle type storage module is used to store the type of material transport vehicles for loading at the material distribution point.
  • the material allocation quantity analysis module is used to analyze the additional material allocation quantity caused by the entry of material transport vehicles during the material distribution point's loading task and make countermeasures.
  • the execution judgment module is used to make a judgment on the actual execution steps of the material distribution point based on the prediction of the additional material allocation quantity caused by the entry of material transport vehicles.
  • the material transport vehicle type storage module is network-connected to the execution judgment module, and the material allocation quantity analysis module is electrically connected to the execution judgment module.
  • the material transport vehicle type storage module includes a material transport vehicle type reading module and a route storage module.
  • the material transport vehicle type reading module is used to read the current remaining amount of materials at the material distribution station, and the route storage module is used to store the loading routes executed by the uploaded material distribution points.
  • the material distribution quantity analysis module includes a thermal imaging module, a contour fitting module, an infrared ranging unit and a material distribution quantity calculation module.
  • the thermal imaging module is electrically connected to the contour fitting module.
  • the thermal imaging module is used to detect the surrounding infrared energy and convert it into electrical type for thermal imaging when loading at the material distribution point.
  • the contour fitting module is used to perform contour fitting on the material transport vehicle according to the thermal imaging picture.
  • the contour fitting module and the infrared ranging unit are both electrically connected to the material distribution quantity calculation module.
  • the infrared ranging unit is used to perform infrared ranging on the material transport vehicle in real time when the thermal imaging picture of the material transport vehicle is captured.
  • the material distribution quantity calculation module is used to analyze and predict the transportation required to load the material transport vehicle currently entering. The holding volume.
  • the execution judgment module includes a judgment module, an expedited material replenishment warning unit and a loading execution unit.
  • the judgment module is network-connected to the material transport vehicle type storage module, and the judgment module is electrically connected to the material allocation quantity calculation module.
  • the judgment module is used to judge whether the material inventory at the material distribution point is sufficient based on the predicted material allocation quantity required to load the currently entering material transport vehicle and the actual material allocation quantity of the loading route; the expedited material replenishment warning unit and the loading execution unit are electrically connected to the judgment module.
  • the expedited material replenishment warning unit is used to transmit the expedited material replenishment warning type to the material distribution point control end when it is judged that the material inventory is insufficient to load the material transport vehicle;
  • the loading execution unit is used to execute loading measures when it is judged that the material inventory is sufficient to load the material transport vehicle.
  • the resource allocation device further includes a supply chain screening module, a supply chain forming module, and a time maintenance module.
  • the supply chain screening module is electrically connected to the supply chain forming module, and the supply chain forming module is electrically connected to the time maintenance module.
  • the supply chain screening module is used for inputting the types of material transport vehicles and for transmission and delivery; the supply chain formation module is used for forming a large number of supply chain types of the same type; and the time maintenance module is used for recording the formation of the supply chain to determine the time of supply chain dismantling.
  • the supply chain screening module includes a material transport vehicle type input module, a material transport vehicle type allocation module, a unit formation module, a unit connection module and a material transport vehicle type output module.
  • the material transport vehicle type input module is electrically connected to the material transport vehicle type allocation module
  • the material transport vehicle type allocation module is electrically connected to the unit formation module
  • the unit formation module is electrically connected to the unit connection module
  • the unit connection module is electrically connected to the material transport vehicle type output module
  • the material transport vehicle type output module is electrically connected to the database.
  • the material transport vehicle type input module is used to input the type of distribution materials suitable for the material transport vehicle
  • the material transport vehicle type allocation module is used to allocate type tags
  • the unit formation module is used to form units of distribution material types suitable for the material transport vehicle
  • the unit connection module is used to connect units of distribution material types suitable for the material transport vehicle
  • the material transport vehicle type output module is used to output the types of distribution material type units suitable for the material transport vehicle.
  • the material transport vehicle type data delivered by the material distribution type module that is suitable for the material transport vehicle is entered by the material transport vehicle type entry module, and the type tag is assigned a value, which can be assigned to food transport vehicle type, daily necessities transport vehicle type and large equipment transport vehicle type.
  • the type tag is assigned a value, which can be assigned to food transport vehicle type, daily necessities transport vehicle type and large equipment transport vehicle type.
  • Each two opposite sides of the distribution material type unit suitable for the material transport vehicle are set to the same type of material transport vehicle.
  • the distribution material type unit suitable for the material transport vehicle is assigned three different types, it is activated.
  • the distribution material type unit suitable for the material transport vehicle can pass through the three types. After forming several distribution material type units suitable for the material transport vehicle, the type passes randomly through the distribution material type units suitable for each material transport vehicle. This passing method takes a long time.
  • the material transport vehicle type passes through the distribution material type units suitable for When a material type unit is passed, the mark level of this type increases, and the types on both sides of its connection are enhanced. At this time, this type passes through the distribution material type unit suitable for the material transport vehicle more quickly. The materials that pass through will be in a state of waiting for distribution, and the materials that have not passed through will remain at the distribution end and cannot be distributed before.
  • the working process of the supply chain formation module is that after several material transport vehicles are suitable for the distribution of material type units are formed, when the material transport vehicles with the same attributes are activated at the same time, the type mark level is very high and connected to each other, the type is enhanced, and a supply chain with obvious type is gradually formed, allowing the attribute type to pass.
  • the distribution material type unit suitable for the material transport vehicle to transmit the material transport vehicle type data, when multiple types pass through, they are not limited by the type channel width and can pass through at the same time, realizing traffic data sharing.
  • the type of transport materials it adapts to is single, but all materials at the distribution end still pass through in sequence, resulting in congestion of materials and transportation and low efficiency.
  • the distribution material type unit suitable for the material transport vehicle can pass through at least three types. After forming several distribution material type units suitable for the material transport vehicle, the type passes randomly through the distribution material type units suitable for each material transport vehicle, thereby adjusting the speed of materials input into the supply chain according to the type of materials suitable for transport by the transport vehicle, so that the materials are more matched with the suitable transport vehicle.
  • the apparatus of the above embodiment is used to implement the corresponding resource allocation method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.
  • the present disclosure also provides an electronic device.
  • FIG3 shows a more specific schematic diagram of the hardware structure of an electronic device provided by this embodiment.
  • the electronic device 300 may include a processor 301 and a memory 302 storing computer program instructions.
  • the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present disclosure.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • the memory 302 may include a large capacity memory for data or instructions.
  • the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these.
  • the memory 302 may include removable or non-removable (or fixed) media.
  • the memory 302 may be inside or outside the integrated gateway disaster recovery device.
  • the memory 302 is non-volatile. Solid-state memory.
  • the memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical/tangible memory storage device.
  • ROM read-only memory
  • RAM random access memory
  • magnetic disk storage medium device e.g., a magnetic disk
  • optical storage medium device e.g., a flash memory device
  • electrical, optical or other physical/tangible memory storage device e.g., a flash memory device
  • the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to a method according to an aspect of the present disclosure.
  • the processor 301 implements any one of the resource allocation methods in the above embodiments by reading and executing computer program instructions stored in the memory 302 .
  • the electronic device 300 may further include a communication interface 303 and a bus 310. As shown in Fig. 3, the processor 301, the memory 302, and the communication interface 303 are connected via the bus 310 and communicate with each other.
  • the communication interface 303 is mainly used to implement communication between various modules, devices, units and/or equipment in the embodiments of the present application.
  • Bus 310 includes hardware, software or both, and the components of online data flow billing equipment are coupled to each other.
  • bus 310 may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations.
  • AGP accelerated graphics port
  • EISA enhanced industrial standard architecture
  • FAB front-end bus
  • HT hypertransport
  • ISA industrial standard architecture
  • LPC low pin count
  • MCA micro channel architecture
  • PCI peripheral component interconnection
  • PCI-X PCI-Express
  • SATA serial advanced technology attachment
  • VLB video electronics standard association local
  • bus 310 may include
  • the electronic device 300 may be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc.
  • UMPC ultra-mobile personal computer
  • PDA personal digital assistant
  • the present disclosure also provides a non-transitory computer-readable storage medium.
  • the computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any of the resource allocation methods in the above-mentioned embodiments is implemented.
  • Examples of computer-readable storage media include non-transitory computer-readable storage media, such as portable disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, etc.
  • the present application also provides a computer program product, which includes computer program instructions.
  • the computer program instructions can be executed by one or more processors of a computer to enable the computer and/or the processor to execute the resource allocation method.
  • the execution subjects corresponding to the steps in the various embodiments of the resource allocation method described above, and the processors that execute the corresponding steps may belong to the corresponding execution subjects.
  • the functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof.
  • it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc.
  • ASIC application specific integrated circuit
  • the elements of the present application are programs or code segments that are used to perform the required tasks.
  • the program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave.
  • "Machine-readable medium" can include any medium capable of storing or transmitting information.
  • machine-readable media examples include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc.
  • the code segment can be downloaded via a computer network such as the Internet, an intranet, etc.
  • each square box in the flow chart and/or the block diagram and the combination of each square box in the flow chart and/or the block diagram can be realized by computer program instructions.
  • These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the realization of the function/action specified in one or more square boxes of the flow chart and/or the block diagram.
  • a processor can be but is not limited to a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit.
  • each square box in the block diagram and/or the flow chart and the combination of the square boxes in the block diagram and/or the flow chart can also be realized by the dedicated

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Abstract

本公开涉及一种资源分配方法、装置、设备及介质。所述资源分配方法包括：在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；获取所述资源放置点的剩余资源量；在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。

Description

资源分配方法、装置、设备及介质
相关申请的交叉引用
本申请基于申请号为202311643829.9、申请日为2023年12月1日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此以全文引入的方式引入本申请。
技术领域
本公开属于资源处理技术领域，尤其涉及一种资源分配方法、装置、设备及介质。
背景技术
在对资源处理的过程中，批量的资源会先存储于资源放置点，然后再由多方机构或个人的运输设备对资源进行输送。通常在运输设备到达资源放置点后直接进行资源装载，由于未对资源进行分配，可能会出现资源和运输设备的运载力不匹配的问题，并且导致资源处理效率低。
发明内容
本公开实施例提供一种资源分配方法、装置、设备及介质，解决了资源与运输设备的运载力可能存在不匹配的问题。
第一方面，本公开实施例提供一种资源分配方法，包括：
在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
获取所述资源放置点的剩余资源量；
在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
第二方面，本公开实施例提供了一种资源分配装置，所述装置包括：
第一获取模块，用于在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
确定模块，用于根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
第二获取模块，用于获取所述资源放置点的剩余资源量；
分配模块，用于在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
第三方面，本公开实施例提供了一种电子设备，该电子设备包括：处理器以及存储有计算机程序指令的存储器；处理器执行所述计算机程序指令时实现如第一方面的任一项实施例中所述的资源分配方法的步骤。
第四方面，本公开实施例提供了一种计算机可读存储介质，计算机可读存储介质上存储有计算机程序指令，计算机程序指令被处理器执行时实现如第一方面的任一项实施例中所述的资源分配方法的步骤。
本公开实施例的资源分配方法、装置、设备及介质，在运输设备与资源放置点存在一定距离的情况下，通过检测装置获取运输设备的图像信息，以根据图像信息确定运输设备的容纳量，从而通过比较容纳量与资源放置点的剩余资源量，为运输设备分配与容纳量对应的资源，实现在运输设备到达资源放置点前完成对资源的分配，提高资源的处理效率，解决了资源与运输设备的运载力可能存在不匹配的问题。
附图说明
为了更清楚地说明本公开实施例的技术方案，下面将对本公开实施例中所需要使用的附图作简单的介绍，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本公开实施例提供的一种资源分配方法的流程示意图；
图2是本公开实施例提供的一种资源分配装置的结构示意图；
图3是本公开实施例提供的一种电子设备的结构示意图。
具体实施方式
下面将详细描述本申请的各个方面的特征和示例性实施例，为了使本公开的目的、技术方案及优点更加清楚明白，以下结合附图及具体实施例，对本公开进行进一步详细描述。应理解，此处所描述的具体实施例仅意在解释本公开，而不是限定本公开。对于本领域技术人 员来说，本公开可以在不需要这些具体细节中的一些细节的情况下实施。下面对实施例的描述仅仅是为了通过示出本公开的示例来提供对本公开更好的理解。
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
需要说明的是，本公开实施例中对数据的获取、存储、使用和处理等，均符合国家法律法规的相关规定。
在对资源处理的过程中，批量的资源会先存储于资源放置点，然后再由多方机构或个人的运输设备对资源进行输送。通常在运输设备到达资源放置点后直接进行资源装载，由于未对资源进行分配，可能会出现资源和运输设备的运载力不匹配的问题。
例如，资源全部装载完成但运输设备依然存在冗余容纳空间，或者，运输设备的容纳空间无法装载当前全部资源，导致对资源的处理效率低，且会造成运力和成本的浪费。
为了解决相关技术的问题，本公开实施例提供了一种资源分配方法、装置、设备及介质。
下面结合附图，通过具体的实施例及其应用场景对本公开实施例提供的资源分配方法进行详细地说明。
图1示出了本公开实施例的资源分配方法100的流程示意图。如图1所示，该资源分配方法100具体可以包括以下步骤：
S101、在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
S102、根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
S103、获取所述资源放置点的剩余资源量；
S104、在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
由此，在运输设备与资源放置点存在一定距离的情况下，通过检测装置获取运输设备的图像信息，以根据图像信息确定运输设备的容纳量，从而通过比较容纳量与资源放置点的剩余资源量，为运输设备分配与容纳量对应的资源，实现在运输设备到达资源放置点前完成对 资源的分配，提高资源的处理效率，解决了资源与运输设备的运载力可能存在不匹配的问题。
下面介绍上述各个步骤的具体实现方式。
在一些实施例中，在步骤S101中，由于检测装置设置于与资源放置点之间存在预设距离的目标位置处，因此在检测装置最初检测到运输设备的情况下，运输设备与资源放置点之间的距离等于预设距离；随着运输设备的移动且未偏离检测设备的检测范围时，运输设备与资源放置点之间的距离随着检测装置与运输设备的实时距离不断变化，并且检测装置采集到的运输设备的实时图像信息也与实时距离相对应。
在一些实施例中，检测装置为红外传感器，则采集到的图像信息为红外热成像图像。或者，检测装置也可以是激光传感器。具体的，以检测装置为红外传感器为例，检测装置的热成像模块探测周围红外能量并将其转换为电类型后进行热成像，以得到运输设备的图像信息；并且，在热成像模块扫描运输设备成像过程中，红外测距单元对运输设备实时红外测距，从而监测运输设备至资源放置点的距离。
在一些实施例中，在步骤S102中，根据所述预设距离，确定标准单元格参数；根据所述标准单元格参数，将所述图像信息划分为多个单元格；根据所述预设距离、实时距离和标准单元格参数，确定所述单元格的修正参数；根据所述修正参数，确定所述图像信息的边界距离，并将所述边界距离确定为所述运输设备的几何参数信息；根据所述几何参数信息，确定所述运输设备的容纳量。
具体实施时，可以建立图像信息的参考坐标系，且参考坐标系的单元长度通过对图像信息进行单元格划分来确定。
具体实施时，假设平面坐标单元格在运输设备距资源放置点为预设距离L时的标准单位边长为Q，接收锁定热成像画面时对应的红外测距距离值l，则单元格的修正参数，即单元格实际边长q，可以根据以下公式确定：
具体实施时，锁定画面热成像轮廓中的横向极值点坐标，分别为(x左，y左)(x右，y右)，并连接标记点拟合为运输设备的车厢拟合线；然后，通过计算横向极值点距离值可以确定运输设备几何参数信息(即车厢长度)。则，运输设备的车厢长度可以根据以下公式确定：
其中，x左，y左，x右，y右分别表示各个标记点在当前坐标单元格下对应的坐标值；W表示运输设备的车厢长度值。也就是说，通过计算标记点在平面坐标单元格下的距离与单元格实 际边长值相乘，即可获得标记点之间的实际距离值，即运输设备的车厢长度值。
进一步的，根据所述几何参数信息，确定所述运输设备的容纳空间参数；将所述容纳空间参数与预设转化系数的乘积确定为所述运输设备的容纳量，所述预设转化系数是根据需求资源总量和所述剩余资源量确定的。
即，e＝k·W；其中，k表示运输设备容纳空间转换为装载物资分配量系数值，为常数值。这样，通过计算横向极值点距离值得到运输设备的车厢长度，然后进一步计算得到运输设备的容纳空间，以将容纳空间对应的容纳量作为装载当前运输设备所需的资源分配量值。
这样，解决了由于运输设备只会显示载荷，不会显示容纳空间，对于一些较轻的物资如棉被、口罩等只能现场装入，直到装满容纳空间才知道能不能继续装载的问题，从而在运输设备到达资源放置点之前就能够根据计算得到的运输设备的容纳量进行资源分配和规划。
在一些实施例中，在步骤S103中，资源放置点的剩余资源量可能与需求资源总量相等，也可能大于或小于运输设备的容纳量。可以理解，对于剩余资源量的不同情况，对应不同的资源分配策略。以解决相关技术中无法实时根据实际运输设备的容纳量对资源分配进行调整，造成一些地方资源堆积，一些地方资源短缺，资源之间来回调度造成的成本高的问题。
在一些实施例中，在步骤S104中，在剩余资源量大于或等于容纳量的情况下，可以生成指示调度运输设备的第一调度提示信息，并为运输设备分配与容纳量对应的资源，以在运输设备到达资源放置点的情况下，快速装载对应的资源于该运输设备。这样，解决了当运输设备到达资源放置点时发现运输设备的容纳空间无法装载当前全部资源而导致对资源的处理效率低的问题。
在另一个实施例中，在剩余资源量小于容纳量的情况下，生成第二调度提示信息，以使目标对象根据第二调度提示信息将对应的资源调度至资源放置点；从而，为运输设备分配与容纳量对应的资源。这样，解决了当运输设备到达资源放置点时发现资源全部装载完成但运输设备依然存在冗余容纳空间的问题，减少对运力资源的浪费。
另外，在一些实施例中，资源放置点设置有多个运输通道，并且每个运输通道与运输类型一一对应，以通过运输通道将与容纳量对应的资源装载于运输设备。
具体实施时，可以根据获取到的运输设备的图像信息，确定运输设备的运输类型；从而，将与容纳量对应的资源通过与运输类型相匹配的运输通道，以将所述资源装载于运输设备。可以理解，资源类型与所述运输类型相匹配。
其中，资源类型可以包括食物、日用品以及大型设备等，则运输类型可以包括食物运输类型、日用品运输类型以及大型设备运输类型等。
在一些实施例中，根据运输类型推算执行完此次装载任务后的资源放置点的资源剩余体 积百分比值E，并将其与容纳量e值对比：当E>e时，判断可以对运输设备进行装载，并输出电类型至装载执行单元，装载执行单元控制资源放置点划分物资，按照耗体积为e的状况下进行对应体积的装载；E≤e时，判断资源放置点的物资存量不足以装载足够运输设备，并输出电类型至加急补充物资警示单元，加急补充物资警示单元传输至资源放置点操作端操作界面，提示对资源放置点进行加急补充物资操作。
此外，在一些实施例中，在检测装置检测到多个运输设备的情况下，确定多个运输设备中每个运输类型对应的运输设备的第一数量；并将第一数量的数值最大对应的运输类型确定为目标类型；然后，将多个运输通道中与目标类型相匹配的运输通道确定为目标通道；根据预先设定的标准运行参数以及第一数量，确定所述目标通道的目标运行参数。
从而，控制多个运输通道中的非目标通道在标准运行参数下运行，以及控制目标通道在目标运行参数下运行。其中，非目标通道为多个运输通道中除目标通道以外的通道。
这样，通过控制和改变多个运输通道的运行参数，能够将运输类型对应的运输通道加速运行，以避免该类型资源数量较多而导致的通道堵塞，从而不影响资源分配以及运输处理的效率。
需要说明的是，上述对本公开的一些实施例进行了描述。其它实施例在所附权利要求书的范围内。在一些情况下，在权利要求书中记载的动作或步骤可以按照不同于上述实施例中的顺序来执行并且仍然可以实现期望的结果。另外，在附图中描绘的过程不一定要求示出的特定顺序或者连续顺序才能实现期望的结果。在某些实施方式中，多任务处理和并行处理也是可以的或者可能是有利的。
基于同一技术构思，与上述任一实施例方法相对应的，本公开还提供了一种资源分配装置200。
如图2所示，该资源分配装置200可以包括：
第一获取模块201，用于在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
确定模块202，用于根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
第二获取模块203，用于获取所述资源放置点的剩余资源量；
分配模块204，用于在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
在一些实施例中，资源分配装置200，还包括调度模块(图2中未示出)，用于在所述剩 余资源量小于所述容纳量的情况下，生成调度信息，以使目标对象将所述调度信息对应的资源调度至所述资源放置点；为所述运输设备分配与所述容纳量对应的资源。
在一些实施例中，所述资源放置点设置有多个运输通道，所述运输通道与运输类型一一对应。
在一些实施例中，资源分配装置200，还包括装载模块(图2中未示出)，用于根据所述图像信息，确定所述运输设备的运输类型；将与所述容纳量对应的资源通过与所述运输类型相匹配的运输通道，以将所述资源装载于所述运输设备，资源类型与所述运输类型相匹配。
在一些实施例中，确定模块202，具体用于根据所述预设距离，确定标准单元格参数；根据所述标准单元格参数，将所述图像信息划分为多个单元格；根据所述预设距离、实时距离和标准单元格参数，确定所述单元格的修正参数；根据所述修正参数，确定所述图像信息的边界距离，并将所述边界距离确定为所述运输设备的几何参数信息；根据所述几何参数信息，确定所述运输设备的容纳量。
在一些实施例中，确定模块202，还具体用于根据所述几何参数信息，确定所述运输设备的容纳空间参数；将所述容纳空间参数与预设转化系数的乘积确定为所述运输设备的容纳量，所述预设转化系数是根据需求资源总量和所述剩余资源量确定的。
在一些实施例中，所述检测装置为红外传感器，所述图像信息为红外热成像图像。
在另一个实施例中，资源分配装置包括物资运输车类型存储模块、物资分配量分析模块和执行判断模块，所述物资运输车类型存储模块用于储存物资分配点装货物资运输车类型，所述物资分配量分析模块用于分析物资分配点执行装货任务过程中遇到物资运输车驶入做出对策时带来的额外物资分配量，所述执行判断模块用于根据应对物资运输车驶入造成额外物资分配量的预测对物资分配点实际执行步骤做出判断，所述物资运输车类型存储模块与执行判断模块网络连接，所述物资分配量分析模块与执行判断模块电连接。
所述物资运输车类型存储模块包括物资运输车类型读取模块和路线储存模块，所述物资运输车类型读取模块用于读取物资分配站当前物资剩余量，所述路线储存模块用于对上传的物资分配点执行装货路线进行储存。
所述物资分配量分析模块包括热成像模块、轮廓拟合模块、红外测距单元和物资分配量计算模块，所述热成像模块与轮廓拟合模块电连接，所述热成像模块用于在物资分配点装货时，探测周围红外能量并将其转换为电类型进行热成像，所述轮廓拟合模块用于根据热成像画面对物资运输车进行轮廓拟合，所述轮廓拟合模块和红外测距单元均与物资分配量计算模块电连接，所述红外测距单元用于在捕捉的物资运输车热成像画面时实时对物资运输车进行红外测距，所述物资分配量计算模块用于分析预测装载走当前驶入的物资运输车所需要运输 的容纳体积。
所述执行判断模块包括判断模块、加急补充物资警示单元和装载执行单元。所述判断模块与物资运输车类型存储模块网络连接，所述判断模块与物资分配量计算模块电连接。所述判断模块用于根据预测的装载当前驶入的物资运输车所需物资分配量和实际执行装货路线物资分配量判断物资分配点物资存量是否满足；所述加急补充物资警示单元和装载执行单元与判断模块电连接。所述加急补充物资警示单元用于在判断物资存量不足以装载物资运输车时传输加急补充物资警示类型至物资分配点控制端；所述装载执行单元用于在判断物资存量满足装载物资运输车时执行装载措施。
所述资源分配装置还包括供应链筛选模块、供应链形成模块、时间维持模块，所述供应链筛选模块与供应链形成模块电连接，所述供应链形成模块与时间维持模块电连接。
所述供应链筛选模块用于物资运输车类型的录入以及传输运送，所述供应链形成模块用于形成大量类型一致的供应链类型，所述时间维持模块用于记录供应链形成来确定供应链解体时间。
所述供应链筛选模块包括物资运输车类型录入模块、物资运输车类型分配模块、单元形成模块、单元连接模块以及物资运输车类型输出模块，所述物资运输车类型录入模块与物资运输车类型分配模块电连接，所述物资运输车类型分配模块与单元形成模块电连接，所述单元形成模块与单元连接模块电连接，所述单元连接模块与物资运输车类型输出模块电连接，所述物资运输车类型输出模块与数据库电连接。
所述物资运输车类型录入模块用于物资运输车适合的配送物资类型的录入，所述物资运输车类型分配模块用于类型标记的分配，所述单元形成模块用于物资运输车适合的配送物资类型单元的形成，所述单元连接模块用于物资运输车适合的配送物资类型单元的连接，所述物资运输车类型输出模块用于物资运输车适合的配送物资类型单元类型的输出。
这样，物资运输车适合的配送物资类型模块运送过来的物资运输车类型数据由物资运输车类型录入模块进行数据录入，对类型标记进行赋值，可以赋值为食物运输车类型、日用品运输车类型以及大型设备运输车类型，此时就有三种类型通道，不同类型的物资运输车类型分别进入到不同的类型通道。
物资运输车适合的配送物资类型单元的每两条对边设置为相同的物资运输车类型的类型，当物资运输车适合的配送物资类型单元被赋予三种不同类型时被激活，该物资运输车适合的配送物资类型单元可以通过三种类型，形成了若干个物资运输车适合的配送物资类型单元之后，类型在各个物资运输车适合的配送物资类型单元随机通过，此种通过方式耗费时间较长，当两个相同物资运输车类型物资运输车类型通过相邻的两个物资运输车适合的配送物 资类型单元时，该类型标记电平升高，其连接的两边类型增强，此时，该类型更快速通过物资运输车适合的配送物资类型单元，通过的物资会处于待分配状态，尚未通过的物资会留在分配端之前无法进行分配。
其中，供应链形成模块工作过程是若干个物资运输车适合的配送物资类型单元形成之后，具有相同属性的物资运输车适合的配送物资类型单元同时激活时，类型标记电平什高，相互连接，该类型增强，逐渐形成一条类型明显的供应链，允许该属性类型通过。
由此，通过利用物资运输车适合的配送物资类型单元传输物资运输车类型数据，多种类型通过时，不受类型通道宽度限制，可以同时通过，实现交通数据共享。解决了物资分配端口中集中汇入物资时由于通道自身宽度的限制，每个端口只能通过相应的某种类型，多种类型需要排序依次通过，在道路上同时通过某种物资运输车时，其适应的运输物资类型单一，但分配端仍然是所有物资都依次通过，物资和运输堵塞而效率低的问题。
这样，通过物资运输车适合的配送物资类型的录入，当物资运输车适合的配送物资类型单元被赋予至少三种不同类型时被激活，该物资运输车适合的配送物资类型单元可以通过至少三种类型，形成了若干个物资运输车适合的配送物资类型单元之后，类型在各个物资运输车适合的配送物资类型单元随机通过，从而根据运输车适合运输物资的类型对输入供应链的物资速度进行调整，使得物资与适合的运输车更加匹配。
需要说明的是，为了描述的方便，描述以上装置时以功能分为各种模块分别描述。当然，在实施本公开时可以把各模块的功能在同一个或多个软件和/或硬件中实现。
上述实施例的装置用于实现前述任一实施例中相应的资源分配方法，并且具有相应的方法实施例的有益效果，在此不再赘述。
基于同一技术构思，与上述任一实施例方法相对应的，本公开还提供了一种电子设备。
图3示出了本实施例所提供的一种更为具体的电子设备硬件结构示意图。
在电子设备300可以包括处理器301以及存储有计算机程序指令的存储器302。
具体地，上述处理器301可以包括中央处理器(CPU)，或者特定集成电路(Application Specific Integrated Circuit，ASIC)，或者可以被配置成实施本公开实施例的一个或多个集成电路。
存储器302可以包括用于数据或指令的大容量存储器。举例来说而非限制，存储器302可包括硬盘驱动器(Hard Disk Drive，HDD)、软盘驱动器、闪存、光盘、磁光盘、磁带或通用串行总线(Universal Serial Bus，USB)驱动器或者两个或更多个以上这些的组合。在合适的情况下，存储器302可包括可移除或不可移除(或固定)的介质。在合适的情况下，存储器302可在综合网关容灾设备的内部或外部。在特定实施例中，存储器302是非易失性 固态存储器。
在特定实施例中，存储器可包括只读存储器(ROM)，随机存取存储器(RAM)，磁盘存储介质设备，光存储介质设备，闪存设备，电气、光学或其他物理/有形的存储器存储设备。因此，通常，存储器包括一个或多个编码有包括计算机可执行指令的软件的有形(非暂态)计算机可读存储介质(例如，存储器设备)，并且当该软件被执行(例如，由一个或多个处理器)时，其可操作来执行参考根据本公开的一方面的方法所描述的操作。
处理器301通过读取并执行存储器302中存储的计算机程序指令，以实现上述实施例中的任意一种资源分配方法。
在一些示例中，电子设备300还可包括通信接口303和总线310。其中，如图3所示，处理器301、存储器302、通信接口303通过总线310连接并完成相互间的通信。
通信接口303主要用于实现本申请实施例中各模块、装置、单元和/或设备之间的通信。
总线310包括硬件、软件或两者，将在线数据流量计费设备的部件彼此耦接在一起。举例来说而非限制，总线310可包括加速图形端口(AGP)或其他图形总线、增强工业标准架构(EISA)总线、前端总线(FSB)、超传输(HT)互连、工业标准架构(ISA)总线、无限带宽互连、低引脚数(LPC)总线、存储器总线、微信道架构(MCA)总线、外围组件互连(PCI)总线、PCI-Express(PCI-X)总线、串行高级技术附件(SATA)总线、视频电子标准协会局部(VLB)总线或其他合适的总线或者两个或更多个以上这些的组合。在合适的情况下，总线310可包括一个或多个总线。尽管本申请实施例描述和示出了特定的总线，但本公开考虑任何合适的总线或互连。
示例性的，电子设备300可以为手机、平板电脑、笔记本电脑、掌上电脑、车载电子设备、超级移动个人计算机(ultra-mobile personal computer，UMPC)、上网本或者个人数字助理(personal digital assistant，PDA)等。
基于同一技术构思，与上述任一实施例方法相对应的，本公开还提供了一种非暂态计算机可读存储介质。该计算机可读存储介质上存储有计算机程序指令；该计算机程序指令被处理器执行时实现上述实施例中的任意一种资源分配方法。计算机可读存储介质的示例包括非暂态计算机可读存储介质，如便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件等。
基于同一技术构思，与上述任一实施例方法相对应的，本申请还提供了一种计算机程序产品，其包括计算机程序指令。在一些实施例中，所述计算机程序指令可以由计算机的一个或多个处理器执行以使得所述计算机和/或所述处理器执行所述的资源分配方法。对应于所 述的资源分配方法各实施例中各步骤对应的执行主体，执行相应步骤的处理器可以是属于相应执行主体的。
需要明确的是，本申请并不局限于上文所描述并在图中示出的特定配置和处理。为了简明起见，这里省略了对已知方法的详细描述。在上述实施例中，描述和示出了若干具体的步骤作为示例。但是，本申请的方法过程并不限于所描述和示出的具体步骤，本领域的技术人员可以在领会本申请的精神后，作出各种改变、修改和添加，或者改变步骤之间的顺序。
以上所述的结构框图中所示的功能块可以实现为硬件、软件、固件或者它们的组合。当以硬件方式实现时，其可以例如是电子电路、专用集成电路(ASIC)、适当的固件、插件、功能卡等等。当以软件方式实现时，本申请的元素是被用于执行所需任务的程序或者代码段。程序或者代码段可以存储在机器可读介质中，或者通过载波中携带的数据信号在传输介质或者通信链路上传送。“机器可读介质”可以包括能够存储或传输信息的任何介质。机器可读介质的例子包括电子电路、半导体存储器设备、ROM、闪存、可擦除ROM(EROM)、软盘、CD-ROM、光盘、硬盘、光纤介质、射频(RF)链路，等等。代码段可以经由诸如因特网、内联网等的计算机网络被下载。
还需要说明的是，本申请中提及的示例性实施例，基于一系列的步骤或者装置描述一些方法或系统。但是，本申请不局限于上述步骤的顺序，也就是说，可以按照实施例中提及的顺序执行步骤，也可以不同于实施例中的顺序，或者若干步骤同时执行。
上面参考根据本申请的实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本申请的各方面。应当理解，流程图和/或框图中的每个方框以及流程图和/或框图中各方框的组合可以由计算机程序指令实现。这些计算机程序指令可被提供给通用计算机、专用计算机、或其它可编程数据处理装置的处理器，以产生一种机器，使得经由计算机或其它可编程数据处理装置的处理器执行的这些指令使能对流程图和/或框图的一个或多个方框中指定的功能/动作的实现。这种处理器可以是但不限于是通用处理器、专用处理器、特殊应用处理器或者现场可编程逻辑电路。还可理解，框图和/或流程图中的每个方框以及框图和/或流程图中的方框的组合，也可以由执行指定的功能或动作的专用硬件来实现，或可由专用硬件和计算机指令的组合来实现。
以上所述，仅为本申请的具体实施方式，所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，上述描述的系统、模块和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。应理解，本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到各种等效的修改或替换，这些修改或替换都应涵盖在本申请的保护范围之内。

Claims (10)

  1. 一种资源分配方法，包括：
    在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
    根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
    获取所述资源放置点的剩余资源量；
    在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
  2. 根据权利要求1所述的方法，其中，在所述获取所述资源放置点的剩余资源量之后，所述方法还包括：
    在所述剩余资源量小于所述容纳量的情况下，生成调度信息，以使目标对象将所述调度信息对应的资源调度至所述资源放置点；
    为所述运输设备分配与所述容纳量对应的资源。
  3. 根据权利要求1或2所述的方法，其中，在所述为所述运输设备分配与所述容纳量对应的资源之后，所述方法还包括：
    将与所述容纳量对应的资源装载于所述运输设备。
  4. 根据权利要求3所述的方法，其中，所述资源放置点设置有多个运输通道，所述运输通道与运输类型一一对应；
    所述将与所述容纳量对应的资源装载于所述运输设备，包括：
    根据所述图像信息，确定所述运输设备的运输类型；
    将与所述容纳量对应的资源通过与所述运输类型相匹配的运输通道，以将所述资源装载于所述运输设备，资源类型与所述运输类型相匹配。
  5. 根据权利要求1所述的方法，其中，所述根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量，包括：
    根据所述预设距离，确定标准单元格参数；
    根据所述标准单元格参数，将所述图像信息划分为多个单元格；
    根据所述预设距离、实时距离和标准单元格参数，确定所述单元格的修正参数；
    根据所述修正参数，确定所述图像信息的边界距离，并将所述边界距离确定为所述运输设备的几何参数信息；
    根据所述几何参数信息，确定所述运输设备的容纳量。
  6. 根据权利要求5所述的方法，其中，所述根据所述几何参数信息，确定所述运输设备的容纳量，包括：
    根据所述几何参数信息，确定所述运输设备的容纳空间参数；
    将所述容纳空间参数与预设转化系数的乘积确定为所述运输设备的容纳量，所述预设转化系数是根据需求资源总量和所述剩余资源量确定的。
  7. 根据权利要求1所述的方法，其中，所述检测装置为红外传感器，所述图像信息为红外热成像图像。
  8. 一种资源分配装置，所述装置包括：
    第一获取模块，用于在检测装置检测到运输设备的情况下，获取所述检测装置与所述运输设备的实时距离以及与所述实时距离相对应的所述运输设备的图像信息，所述检测装置设置于与资源放置点之间存在预设距离的目标位置处；
    确定模块，用于根据所述实时距离、预设距离和图像信息，确定所述运输设备的容纳量；
    第二获取模块，用于获取所述资源放置点的剩余资源量；
    分配模块，用于在所述剩余资源量大于或等于所述容纳量的情况下，为所述运输设备分配与所述容纳量对应的资源。
  9. 一种电子设备，所述设备包括：处理器以及存储有计算机程序指令的存储器；所述处理器调用所述计算机程序指令时实现如权利要求1-7中任意一项所述的资源分配方法。
  10. 一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序指令，所述计算机程序指令被处理器调用时实现如权利要求1-7中任意一项所述的资源分配方法。
PCT/CN2024/113744 2023-12-01 2024-08-21 资源分配方法、装置、设备及介质 Pending WO2025112697A1 (zh)

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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101900527A (zh) * 2010-07-20 2010-12-01 凯迈（洛阳）测控有限公司 一种货车车厢体积测量系统及方法
CN101982727A (zh) * 2010-10-26 2011-03-02 北京理工大学 一种基于激光三角测量法的货车体积测量方法
WO2015135015A1 (en) * 2014-03-11 2015-09-17 3D Image Automation Pty Ltd Train wagon 3d profiler
CN109141595A (zh) * 2018-06-15 2019-01-04 东南大学 一种通过视频识别车辆尺寸信息获取交通轴载信息的方法
CN110044258A (zh) * 2019-03-27 2019-07-23 苏州清研微视电子科技有限公司 货运车车厢空余容量智能检测方法和系统
CN110348389A (zh) * 2019-06-24 2019-10-18 贵州黔岸科技有限公司 图像识别方法、装置、存储介质及系统
JP2021089142A (ja) * 2019-12-02 2021-06-10 光洋機械産業株式会社 骨材受入システム
CN113538555A (zh) * 2020-04-15 2021-10-22 深圳市光鉴科技有限公司 基于规则箱体的体积测量方法、系统、设备及存储介质
CN113888621A (zh) * 2021-09-29 2022-01-04 中科海微(北京)科技有限公司 装载率确定方法、装置、边缘计算服务器及存储介质
CN114463697A (zh) * 2022-01-25 2022-05-10 润建股份有限公司 一种基于图像识别的装载率计算方法
CN115265378A (zh) * 2022-09-23 2022-11-01 北京东方国信科技股份有限公司 车厢三维尺寸的检测系统
CN116485877A (zh) * 2023-03-27 2023-07-25 奥比中光科技集团股份有限公司 货车车厢体积自动测量方法、装置、智能终端及存储介质

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101900527A (zh) * 2010-07-20 2010-12-01 凯迈（洛阳）测控有限公司 一种货车车厢体积测量系统及方法
CN101982727A (zh) * 2010-10-26 2011-03-02 北京理工大学 一种基于激光三角测量法的货车体积测量方法
WO2015135015A1 (en) * 2014-03-11 2015-09-17 3D Image Automation Pty Ltd Train wagon 3d profiler
CN109141595A (zh) * 2018-06-15 2019-01-04 东南大学 一种通过视频识别车辆尺寸信息获取交通轴载信息的方法
CN110044258A (zh) * 2019-03-27 2019-07-23 苏州清研微视电子科技有限公司 货运车车厢空余容量智能检测方法和系统
CN110348389A (zh) * 2019-06-24 2019-10-18 贵州黔岸科技有限公司 图像识别方法、装置、存储介质及系统
JP2021089142A (ja) * 2019-12-02 2021-06-10 光洋機械産業株式会社 骨材受入システム
CN113538555A (zh) * 2020-04-15 2021-10-22 深圳市光鉴科技有限公司 基于规则箱体的体积测量方法、系统、设备及存储介质
CN113888621A (zh) * 2021-09-29 2022-01-04 中科海微(北京)科技有限公司 装载率确定方法、装置、边缘计算服务器及存储介质
CN114463697A (zh) * 2022-01-25 2022-05-10 润建股份有限公司 一种基于图像识别的装载率计算方法
CN115265378A (zh) * 2022-09-23 2022-11-01 北京东方国信科技股份有限公司 车厢三维尺寸的检测系统
CN116485877A (zh) * 2023-03-27 2023-07-25 奥比中光科技集团股份有限公司 货车车厢体积自动测量方法、装置、智能终端及存储介质

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