CN116307985B - Energy-saving transportation method for building materials, computer equipment and medium - Google Patents
Energy-saving transportation method for building materials, computer equipment and medium Download PDFInfo
- Publication number
- CN116307985B CN116307985B CN202310225384.6A CN202310225384A CN116307985B CN 116307985 B CN116307985 B CN 116307985B CN 202310225384 A CN202310225384 A CN 202310225384A CN 116307985 B CN116307985 B CN 116307985B
- Authority
- CN
- China
- Prior art keywords
- building material
- transport
- vehicle
- material information
- transport vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000004566 building material Substances 0.000 title claims abstract description 207
- 238000000034 method Methods 0.000 title claims abstract description 38
- 239000000463 material Substances 0.000 claims abstract description 132
- 230000004044 response Effects 0.000 claims abstract description 18
- 230000011218 segmentation Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 230000009467 reduction Effects 0.000 claims description 7
- 230000008569 process Effects 0.000 description 6
- 238000003709 image segmentation Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 239000002023 wood Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Embodiments of the present disclosure disclose building material energy-efficient transportation methods, computer devices, and media. One embodiment of the method comprises the following steps: clustering the building material information sets according to the material types in the building material information sets to generate building material information set; for each building material information set, the following transportation steps are performed: determining the total transport weight of the materials corresponding to the building material information group according to the quantity and the unit weight of the materials corresponding to the building material information group; determining a transport vehicle group corresponding to the closed storage type in response to the material type corresponding to the building material information group being the closed storage type; selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group; and controlling at least one target transport vehicle to transport the building material corresponding to the building material information group. This embodiment reduces damage to the building material during transportation.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to an energy-saving transportation method for building materials, computer equipment and a medium.
Background
The building is used as one of three fields (industry, traffic and building) of energy consumption, and energy conservation and emission reduction become important tasks. At present, for the transportation of building materials, the following modes are generally adopted: and directly selecting a large transport truck to transport the building materials. However, with the above method, there are generally the following technical problems: firstly, the transport vehicles are not selected according to the type of the building materials, so that the building materials are easy to damage; secondly, when the transport vehicle is selected, the actual loading rate of the transport vehicle is not determined, and when the building materials loaded by the trucks are less, the waste of vehicle transport resources is easily caused; when the stacking warehouse of the building materials is selected, the actual use condition of the warehouse is not considered, and when the insufficient storage area of the warehouse is caused, the stacking of the building materials is easy to cause, so that the safety is reduced.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a building material energy-efficient transportation method, a computer device and a computer-readable storage medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method of energy efficient transportation of building materials, the method comprising: in response to receiving a building material transportation instruction, obtaining building material transportation information corresponding to the building material transportation instruction, wherein the building material transportation information comprises a building material information set, and the building material information in the building material information set comprises: material name, material type, material quantity, and material basis weight; for each building material information in the above-described building material information set, the following processing steps are performed: acquiring a three-dimensional material model of a unit building material corresponding to the building material information; constructing a bounding box of the three-dimensional material model; determining the corresponding volume of the bounding box as the material volume of the unit material; clustering the building material information sets according to the material types in the building material information sets to generate building material information set; for each of the above building material information sets, the following transportation steps are performed: determining the total transport weight of the materials corresponding to the building material information group according to the quantity and the unit weight of the materials corresponding to the building material information group; determining a transport vehicle group corresponding to the closed storage type in response to the material type corresponding to the building material information group being the closed storage type; selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group; and controlling the at least one target transport vehicle to transport the building material corresponding to the building material information group.
In a second aspect, the present disclosure also provides a computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements a method as described in any of the implementations of the first aspect.
In a third aspect, the present disclosure also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method as described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantageous effects: by the energy-saving transportation method for the building materials, which is disclosed by the embodiment of the invention, the transportation vehicle matched with the building materials can be selected, and the damage of the building materials in the transportation process is reduced. In particular, the cause of the building material being easily damaged is that: the transport vehicle is not selected according to the type of building material. Based on this, the energy-saving transportation method of the building material of some embodiments of the present disclosure first obtains, in response to receiving a building material transportation instruction, building material transportation information corresponding to the above-described building material transportation instruction. Wherein the building material transportation information includes a building material information set, and the building material information in the building material information set includes: material name, material type, material quantity, and material basis weight. Thus, data support is provided by selecting different transport vehicles for different transport materials. Next, for each building material information in the above-described building material information set, the following processing steps are performed: acquiring a three-dimensional material model of a unit building material corresponding to the building material information; constructing a bounding box of the three-dimensional material model; and determining the corresponding volume of the bounding box as the material volume of the unit material. Thereby, the space occupation of the unit building material can be maximized to prevent the selected transport vehicle from being insufficient. And then, clustering the building material information sets according to the material types in the building material information sets to generate building material information set. Thus, different transport vehicles can be selected for different types of transport materials. Next, for each of the above-described building material information sets, the following transportation steps are performed: first, the total transport weight of the materials corresponding to the building material information group is determined according to the number of the materials corresponding to the building material information group and the unit weight of the materials. And then, in response to the material type corresponding to the building material information group being a closed storage type, determining a transport vehicle group corresponding to the closed storage type. Thus, different transport vehicles can be selected for different types of transport materials. Then, at least one target transport vehicle is selected from the transport vehicle group based on the total transport volume of the material corresponding to the building material information group. And finally, controlling the at least one target transport vehicle to transport the building material corresponding to the building material information group. Therefore, the transport vehicle can be selected according to the type of the building material, and damage of the building material in the transport process is reduced.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a method of energy efficient transportation of building materials according to the present disclosure;
fig. 2 is a schematic block diagram of a computer device provided in an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flow chart of some embodiments of a method of energy efficient transportation of building materials according to the present disclosure. A flow 100 of some embodiments of a building material energy efficient transportation method according to the present disclosure is shown. The energy-saving transportation method of the building material comprises the following steps:
and step 101, in response to receiving the building material transportation instruction, obtaining building material transportation information corresponding to the building material transportation instruction.
In some embodiments, an executing body (e.g., a server) of the building material energy-saving transportation method may obtain building material transportation information corresponding to the above-described building material transportation instruction in response to receiving the building material transportation instruction. Wherein the building material transportation information includes a building material information set, and the building material information in the building material information set includes: material name, material type, material quantity, and material basis weight. Here, the building material transport instruction may refer to an instruction to transport the building material, and may be transmitted by a transport terminal or may be input by a user. The material name may refer to the name of the building material. The material type may refer to a type of building material. For example, the material type may be a wood board material type, a steel material type. The material quantity may refer to the quantity of building material to which a certain material name corresponds. The unit weight of a material may refer to the unit weight of a building material for which a certain material name corresponds.
Step 102, for each building material information in the building material information set, performing the following processing steps:
and 1021, obtaining a three-dimensional material model of the unit building material corresponding to the building material information.
In some embodiments, the executing entity may obtain the three-dimensional material model of the unit building material corresponding to the building material information from the database through a wired connection or a wireless connection. Here, the database may refer to a three-dimensional material model which is communicatively connected to the above-described execution subject and stores respective unit building materials. Here, a unit building material may refer to one building material corresponding to a material name. The three-dimensional material model may refer to a three-dimensional model of the building material.
Step 1022, constructing a bounding box of the three-dimensional material model.
In some embodiments, the execution body may construct a bounding box of the three-dimensional material model. That is, a bounding box of the three-dimensional material model described above may be constructed by the AABB (Axis Aligned Bounding Box) algorithm.
Step 1023, determining the volume corresponding to the bounding box as the material volume of the unit material.
In some embodiments, the execution body may determine a volume corresponding to the bounding box as the material volume of the unit material. That is, the execution body described above can determine the material volume by measuring the length, width, and height of the bounding box.
And 103, clustering the building material information set according to the material types in the building material information set to generate a building material information set.
In some embodiments, the executing body may perform clustering processing on the building material information set according to a material type in the building material information set to generate a building material information set. That is, the respective building material information of the same material type included in the building material information set may be grouped into one type to obtain the building material information set.
Step 104, for each building material information group in the building material information group set, performing the following transportation steps:
step 1041, determining the total transport weight of the materials corresponding to the building material information set according to the number of the materials and the unit weight of the materials corresponding to the building material information set.
In some embodiments, the executing body may determine the total transport weight of the materials corresponding to the building material information group according to the respective material amounts and the material unit weights corresponding to the building material information group. That is, for each building material information of the building material information group, a product of the number of materials included in the building material information and the unit weight of the materials is determined as the first material weight. The sum of the weights of the individual first materials is then determined as the total transport weight of the materials.
Step 1042, in response to the material type corresponding to the building material information group being a closed storage type, determining a transport vehicle group corresponding to the closed storage type.
In some embodiments, the executing body may determine the transport vehicle group corresponding to the closed storage type in response to the material type corresponding to the building material information group being the closed storage type. Here, the closed storage type may characterize that the building material is to be stored and transported in a transport vehicle with a cabin. That is, individual transport vehicles that are currently transportable and with cars may be determined.
Step 1043, selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group.
In some embodiments, the executing body may select at least one target transport vehicle from the transport vehicle group according to a total transport volume of the material corresponding to the building material information group.
In practice, according to the total transport volume of the material corresponding to the set of building material information, at least one target transport vehicle from the set of transport vehicles may be selected by:
first, for each transport vehicle in the above transport vehicle group, the following processing steps are performed:
and a first sub-step, carrying out two-side carriage segmentation processing on the carriage image of the transport vehicle so as to generate two-side carriage segmentation images. The car image may be a captured image including left and right sides of the interior of the car. The above-mentioned two-sided carriage segmentation image may be an image in which the left and right sides in the carriage are not shielded by the article material as a visible region and the remaining region in the carriage is a background region. Here, the above-described car image may be input into a preset car image segmentation model to obtain a two-sided car segmentation image. The car image segmentation model may be a neural network model with a car image as input and two-side car segmentation images as output. The car image segmentation model may be a convolutional neural network model. That is, the transport vehicle is an unfilled, unfilled transport vehicle that has been filled with the material of the article.
And a second sub-step of generating visible areas of the two carriages according to the two-carriage segmentation images. The visible areas of the carriages on two sides can be the areas of the left and right sides of the interior of the carriage which are not shielded. That is, the area of the visible region in the two-sided cabin split image can be determined as the two-sided cabin visible area by the integration method.
And a third sub-step of generating a carriage reduced area according to the vehicle type corresponding to the transportation vehicle and the visible area of the carriages on the two sides.
In practice, the third sub-step described above may comprise:
first, it is determined whether a preset empty area information set includes empty area information corresponding to the vehicle type. The empty area information in the empty area information set may be preset empty area information, and may include an empty area. The empty area may represent an area of both side areas in the vehicle compartment under the camera coordinate system when the transport vehicle is not loaded with the article. Each empty area information in the empty area information set may correspond to a vehicle type.
Second, in response to determining that the empty area information set includes empty area information corresponding to the vehicle type, determining preset empty area information corresponding to the vehicle type as a transport vehicle empty area.
Third, in response to determining that the empty area information set does not contain empty area information corresponding to the vehicle type, controlling an associated image acquisition device to acquire an empty car image of the transport vehicle. The associated image capturing device may refer to a camera communicatively connected to the execution subject. The empty car image may be an image including left and right side areas in the collected unloaded car.
Fourth, the two-side carriage segmentation processing is carried out on the empty carriage image, and the two-side carriage segmentation image of the empty carriage is obtained. The above-mentioned two-side carriage segmentation image of empty carriage can be the left and right side area in the carriage of non-loaded article and cut out as the visual area, the residual area is the image of background area. In practice, the execution body may input the empty car image into the car image segmentation model to obtain the car segmentation images on two sides of the empty car.
Fifthly, generating an empty area of the transport vehicle according to the split images of the carriages at the two sides of the empty vehicle. The visible area included in the split images of the carriages on the two sides of the empty vehicle can be determined by an integration method to be used as the empty vehicle area of the transport vehicle.
Sixth, a reduced cabin area is generated based on the visible area of the two-sided cabin and the empty area of the transport vehicle. The execution body may determine a difference between the visible area of the two-sided vehicle and the empty area of the transport vehicle as a reduced area.
And a fourth sub-step of generating a vehicle loading rate according to the carriage reduced area.
In practice, the fourth substep described above may comprise:
first, it is determined whether a preset load rate generation model set includes a load rate generation model corresponding to the vehicle type. The load rate generation model in the load rate generation model set may be a preset load rate generation model. Each of the load rate generation models in the set of load rate generation models corresponds to a vehicle type.
Second, a vehicle data set is acquired in response to determining that the set of load rate generation models does not include a load rate generation model corresponding to the vehicle type. Wherein the vehicle data sets in the vehicle data set may include an area reduction rate and a vehicle loading rate. The area reduction rate may be a preset area reduction rate. The vehicle loading rate may be a preset vehicle loading rate.
And thirdly, fitting each vehicle data set in the vehicle data set to obtain a loading rate generation model. For each of the set of vehicle data sets: and determining the area reduction rate included in the vehicle data set as the abscissa of a preset plane coordinate system. And determining the vehicle loading rate included in the vehicle data set as the ordinate of the plane coordinate system. Points corresponding to the abscissa and the ordinate are determined as data points. And then, according to a fitting method, performing data fitting on each determined data point to obtain a fitting function as a loading rate generation model.
Fourth, in response to determining that the set of load rate generation models includes a load rate generation model corresponding to the vehicle type, the load rate generation model corresponding to the vehicle type is determined as a load rate generation model.
Fifthly, inputting the carriage reduced area into the loading rate generation model to obtain the loading rate of the vehicle.
And a fifth substep, determining the available transportation volume of the vehicle according to the marked loading volume corresponding to the transportation vehicle and the vehicle loading rate. That is, first, the product of the labeled loading volume and the vehicle loading rate is determined as the current loading volume. The difference between the noted and current loading volumes may then be determined as the available transport volume of the vehicle.
And a second step of selecting at least one target transport vehicle from the transport vehicle group according to the total transport weight of the materials, the total transport volume of the materials, the actual transport volume of the vehicles corresponding to the transport vehicles and the vehicle carrying capacity. That is, the selected at least one target transport vehicle may refer to each transport vehicle for which the currently available transport capacity and the current vehicle load capacity meet the transport requirements. That is, a transport vehicle having a currently available transport volume equal to or greater than the total transport volume of the material and a current vehicle load capacity equal to or greater than the total transport weight of the material.
The foregoing is an invention point of the present disclosure, and solves the technical problem mentioned in the background art, that "when a transport vehicle is selected, the actual loading rate of the transport vehicle is not determined, and when the building material loaded by a truck is less, the waste of the transport resources of the vehicle is easily caused. For each transport vehicle in the above-mentioned transport vehicle group, the following processing steps are performed: first, a two-side car segmentation process is performed on the car image of the transport vehicle to generate a two-side car segmentation image. Thereby facilitating a determination of the current loading situation of the transport vehicle. And secondly, generating visible areas of the two carriages according to the two-carriage segmentation images. Thus, it is convenient to determine the area in which the vehicle can be currently placed. Then, a vehicle reduced area is generated according to the vehicle type corresponding to the transport vehicle in the visible area of the two-side vehicle. Then, a vehicle loading rate is generated based on the reduced area of the vehicle cabin. Thus, the loading rate of the current vehicle can be determined from the vehicle cabin reduction area. And finally, determining the available transport volume of the vehicle according to the marked loading volume corresponding to the transport vehicle and the vehicle loading rate. Thus, the current vehicle available transport capacity can be determined using the current vehicle loading rate. Therefore, the storage space of the vehicle is convenient to be utilized to the maximum extent, and the waste of the transportation resources of the vehicle is reduced.
Step 1044, controlling the at least one target transport vehicle to transport the building material corresponding to the building material information set.
In some embodiments, the executing body may control the at least one target transport vehicle to transport the building material corresponding to the building material information group.
In practice, the execution subject may control the at least one target transport vehicle to transport the building material corresponding to the building material information group by:
and a first step of determining a destination warehouse corresponding to the building material information group. Here, the destination warehouse may refer to a warehouse for receiving building materials corresponding to the set of stored building material information.
In practice, the first step described above may comprise the sub-steps of:
a first sub-step of determining a destination corresponding to the building material information set. That is, the building material transport order carries the destination of the transported building material.
And a second sub-step of determining at least one warehouse set by the destination. That is, at least one warehouse for which the destination is currently set may be determined. For example, a terminal that sends building material transport instructions may be consulted.
A third sub-step, for each of the at least one warehouse, of performing the following processing steps:
first, a warehouse image of the warehouse is acquired, and the warehouse image is optimized to generate an optimized warehouse image. The optimized warehouse image displays an aisle area and a material placement area, wherein the aisle color of the aisle area is different from the placement site color of the material placement area. That is, the warehouse image quality can be optimized.
Secondly, identifying the material placement area image in the optimized warehouse image based on the aisle color of the aisle area and the placement site color of the material placement area. And removing the image area, of which the pixel value is matched with the aisle color of the aisle area, in the optimized warehouse image to obtain the rest optimized warehouse image as a material placement area image.
Thirdly, determining the current actual available storage area of the warehouse according to the current material image in the material placement area image. First, the reference image may be used to fill and cover the material image in the material placement area image, and the number of filled reference images may be determined. The reference image may be a unit pixel image (e.g., a pixel of 3*3). The execution subject may sequentially fill it on the material image. Then, the occupied area corresponding to the material image may be determined according to the number of the measurement images and the area of the reference image. That is, the product of the number of measurement images and the area of the reference image may be determined as the occupied area. The total storage area of the warehouse may then be determined based on the number of measured images and the scaling of the images. That is, the actual storage area can be determined based on the occupied area and the scaling of the image. Finally, the difference between the total storage area and the occupied area may be determined as the actual available storage area.
And a fourth sub-step of selecting a target actual available storage area from the actual available storage areas according to the actual occupied area corresponding to the building material information group. That is, the actual available storage area equal to or larger than the actual occupied area may be selected from the respective actual available storage areas as the alternative actual available storage area, and the alternative actual available storage area group may be obtained. Then, the candidate actually available storage area having the smallest difference from the above-mentioned actual occupied area in the candidate actually available storage area group may be determined as the target actually available storage area. Here, the actual occupied area corresponding to the above-described building material information group may refer to an area occupied by the building material corresponding to the building material information group before being transported.
And a fifth sub-step, determining the warehouse corresponding to the actual available storage area of the target as a target warehouse.
And a second step of controlling the at least one target transport vehicle to transport the building material corresponding to the building material information group to the target warehouse.
The above-mentioned matters are taken as an invention point of the present disclosure, and solve the technical problem mentioned in the background art, that is, when a stacking warehouse for building materials is selected, actual use conditions of the warehouse are not considered, and when the insufficient storage area of the warehouse is caused, stacking congestion of the building materials is easily caused, so that the safety is reduced. First, a warehouse image of the warehouse is acquired, and the warehouse image is optimized to generate an optimized warehouse image. The optimized warehouse image displays an aisle area and a material placement area, wherein the aisle color of the aisle area is different from the placement site color of the material placement area. Thereby facilitating the determination of the actual available area of the warehouse at the present time. And secondly, identifying the material placement area image in the optimized warehouse image based on the aisle color of the aisle area and the placement site color of the material placement area. And then, determining the current actual available storage area of the warehouse according to the current material image in the material placement area image. Thus, the storage area actually available for the current warehouse is identified. And then, selecting a target actual available storage area from the actual available storage areas according to the actual occupied area corresponding to the building material information group. Thereby, the selected warehouse is prevented from being insufficient in storage area, and building materials are prevented from being crowded in stacking. Thereby, the safety of warehouse stacking materials is improved.
Fig. 2 is a schematic block diagram of a structure of a computer device according to an embodiment of the disclosure. The computer device may be a terminal.
As shown in fig. 2, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program comprises program instructions that, when executed, cause the processor to perform any one of a number of energy efficient transportation methods for building materials.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in the non-volatile storage medium, which when executed by the processor, causes the processor to perform any one of the energy efficient transportation methods for building materials.
The network interface is used for network communication such as transmitting assigned tasks and the like. Those skilled in the art will appreciate that the architecture shown in fig. 2 is merely a block diagram of some of the architecture relevant to the disclosed aspects and is not limiting of the computer device to which the disclosed aspects apply, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of: in response to receiving a building material transportation instruction, obtaining building material transportation information corresponding to the building material transportation instruction, wherein the building material transportation information comprises a building material information set, and the building material information in the building material information set comprises: material name, material type, material quantity, and material basis weight; for each building material information in the above-described building material information set, the following processing steps are performed: acquiring a three-dimensional material model of a unit building material corresponding to the building material information; constructing a bounding box of the three-dimensional material model; determining the corresponding volume of the bounding box as the material volume of the unit material; clustering the building material information sets according to the material types in the building material information sets to generate building material information set; for each of the above building material information sets, the following transportation steps are performed: determining the total transport weight of the materials corresponding to the building material information group according to the quantity and the unit weight of the materials corresponding to the building material information group; determining a transport vehicle group corresponding to the closed storage type in response to the material type corresponding to the building material information group being the closed storage type; selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group; and controlling the at least one target transport vehicle to transport the building material corresponding to the building material information group.
Embodiments of the present disclosure also provide a computer readable storage medium having a computer program stored thereon, the computer program including program instructions that, when executed, implement a method that can be referred to various embodiments of the disclosed method for energy efficient transportation of building materials.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may be an external storage device of the computer device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments. While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made without departing from the spirit and scope of the invention. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (4)
1. A method of energy efficient transportation of building materials, comprising:
in response to receiving a building material transport instruction, obtaining building material transport information corresponding to the building material transport instruction, wherein the building material transport information comprises a building material information set, and the building material information in the building material information set comprises: material name, material type, material quantity, and material basis weight;
for each building material information in the set of building material information, performing the following processing steps:
acquiring a three-dimensional material model of a unit building material corresponding to the building material information;
constructing a bounding box of the three-dimensional material model;
determining the corresponding volume of the bounding box as the material volume of the unit building material;
clustering the building material information sets according to the material types in the building material information sets to generate building material information set;
for each of the set of building material information sets, performing the following transportation steps:
determining the total transport weight of the materials corresponding to the building material information group according to the quantity and the unit weight of the materials corresponding to the building material information group;
responding to the material type corresponding to the building material information group as a closed storage type, and determining a transport vehicle group corresponding to the closed storage type;
selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group;
controlling the at least one target transport vehicle to transport the building material corresponding to the building material information set;
wherein the selecting at least one target transport vehicle from the transport vehicle group according to the total transport volume of the materials corresponding to the building material information group, comprises:
for each transport vehicle in the group of transport vehicles, performing the following processing steps:
carrying out two-side carriage segmentation processing on the carriage image of the transport vehicle so as to generate two-side carriage segmentation images;
generating visible areas of the two carriages according to the two carriage segmentation images;
generating a carriage reduction area according to the vehicle type corresponding to the visible areas of the carriages on the two sides and the transport vehicle;
generating a vehicle loading rate according to the carriage reduced area;
determining the product of the marked loading volume corresponding to the transport vehicle and the vehicle loading rate as the actual transport volume of the vehicle;
selecting at least one target transport vehicle from the transport vehicle group according to the total transport weight of the materials, the total transport volume of the materials, the actual transport volume of the vehicles corresponding to the transport vehicles and the vehicle carrying capacity;
wherein the generating a vehicle loading rate according to the reduced area of the carriage includes:
determining whether a preset loading rate generation model set contains a loading rate generation model corresponding to the vehicle type;
acquiring a vehicle data set in response to determining that the set of load rate generation models does not contain a load rate generation model corresponding to the vehicle type;
fitting each vehicle data set in the vehicle data set to obtain a loading rate generation model;
in response to determining that the set of load rate generation models includes a load rate generation model corresponding to the vehicle type, determining the load rate generation model corresponding to the vehicle type as a load rate generation model;
and inputting the carriage reduced area into the loading rate generation model to obtain the loading rate of the vehicle.
2. The method of claim 1, wherein the controlling the at least one target transport vehicle to transport the building material corresponding to the set of building material information comprises:
determining a destination warehouse corresponding to the building material information group;
and controlling the at least one target transport vehicle to transport the building material corresponding to the building material information group to the target warehouse.
3. A computer device, wherein the computer device comprises a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the method according to any of claims 1-2.
4. A computer readable storage medium, wherein the computer readable storage medium has stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the method according to any of claims 1 to 2.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310225384.6A CN116307985B (en) | 2023-03-06 | 2023-03-06 | Energy-saving transportation method for building materials, computer equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310225384.6A CN116307985B (en) | 2023-03-06 | 2023-03-06 | Energy-saving transportation method for building materials, computer equipment and medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116307985A CN116307985A (en) | 2023-06-23 |
CN116307985B true CN116307985B (en) | 2024-01-26 |
Family
ID=86828248
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310225384.6A Active CN116307985B (en) | 2023-03-06 | 2023-03-06 | Energy-saving transportation method for building materials, computer equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116307985B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117634777A (en) * | 2023-11-07 | 2024-03-01 | 国网物资有限公司 | Value attribute value prediction method, value attribute value prediction device, electronic equipment and computer readable medium |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018146765A1 (en) * | 2017-02-09 | 2018-08-16 | 株式会社イクス | Image processing method and image processing device for executing image processing method |
CN110411530A (en) * | 2019-03-21 | 2019-11-05 | 重庆大学 | A kind of intelligent identification Method of container residual volume |
CN110723553A (en) * | 2019-10-23 | 2020-01-24 | 安吉智能物联技术有限公司 | Stack shape generation method based on transfer robot |
CN111415106A (en) * | 2020-04-29 | 2020-07-14 | 上海东普信息科技有限公司 | Truck loading rate identification method, device, equipment and storage medium |
CN111598341A (en) * | 2020-05-18 | 2020-08-28 | 广东电网有限责任公司 | Electric power material distribution method and system based on material allocation and path optimization |
CN111639854A (en) * | 2020-05-28 | 2020-09-08 | 百度在线网络技术(北京)有限公司 | Vehicle distribution method, device, electronic equipment and storage medium |
CN111652551A (en) * | 2020-05-29 | 2020-09-11 | 上海东普信息科技有限公司 | Method and device for transporting and boxing goods |
CN112668982A (en) * | 2021-03-16 | 2021-04-16 | 北京每日优鲜电子商务有限公司 | Article distribution method, article distribution device, electronic equipment and computer readable medium |
CN112966911A (en) * | 2021-02-25 | 2021-06-15 | 杭州拼便宜网络科技有限公司 | Article transportation method, apparatus, electronic device and computer readable medium |
WO2021197345A1 (en) * | 2020-03-30 | 2021-10-07 | 长沙智能驾驶研究院有限公司 | Method and apparatus for measuring remaining volume in closed space on basis of laser radar |
CN113532339A (en) * | 2020-04-14 | 2021-10-22 | 保定市天河电子技术有限公司 | Warehouse cargo volume measurement system and method |
CN114067295A (en) * | 2021-11-18 | 2022-02-18 | 上海高德威智能交通系统有限公司 | Method and device for determining vehicle loading rate and vehicle management system |
CN114663016A (en) * | 2022-03-18 | 2022-06-24 | 深圳海星智驾科技有限公司 | Safe driving method and device, cloud platform and system |
CN115641034A (en) * | 2021-07-19 | 2023-01-24 | 顺丰科技有限公司 | Logistics distribution method and device considering cargo volume and computer equipment |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9779546B2 (en) * | 2012-05-04 | 2017-10-03 | Intermec Ip Corp. | Volume dimensioning systems and methods |
KR102456468B1 (en) * | 2020-01-17 | 2022-11-07 | 주식회사 엠코프 | Method and system for measuring a volume of aggregate loaded in a truck, and system for managing aggregate |
-
2023
- 2023-03-06 CN CN202310225384.6A patent/CN116307985B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018146765A1 (en) * | 2017-02-09 | 2018-08-16 | 株式会社イクス | Image processing method and image processing device for executing image processing method |
CN110411530A (en) * | 2019-03-21 | 2019-11-05 | 重庆大学 | A kind of intelligent identification Method of container residual volume |
CN110723553A (en) * | 2019-10-23 | 2020-01-24 | 安吉智能物联技术有限公司 | Stack shape generation method based on transfer robot |
WO2021197345A1 (en) * | 2020-03-30 | 2021-10-07 | 长沙智能驾驶研究院有限公司 | Method and apparatus for measuring remaining volume in closed space on basis of laser radar |
CN113532339A (en) * | 2020-04-14 | 2021-10-22 | 保定市天河电子技术有限公司 | Warehouse cargo volume measurement system and method |
CN111415106A (en) * | 2020-04-29 | 2020-07-14 | 上海东普信息科技有限公司 | Truck loading rate identification method, device, equipment and storage medium |
CN111598341A (en) * | 2020-05-18 | 2020-08-28 | 广东电网有限责任公司 | Electric power material distribution method and system based on material allocation and path optimization |
CN111639854A (en) * | 2020-05-28 | 2020-09-08 | 百度在线网络技术(北京)有限公司 | Vehicle distribution method, device, electronic equipment and storage medium |
CN111652551A (en) * | 2020-05-29 | 2020-09-11 | 上海东普信息科技有限公司 | Method and device for transporting and boxing goods |
CN112966911A (en) * | 2021-02-25 | 2021-06-15 | 杭州拼便宜网络科技有限公司 | Article transportation method, apparatus, electronic device and computer readable medium |
CN112668982A (en) * | 2021-03-16 | 2021-04-16 | 北京每日优鲜电子商务有限公司 | Article distribution method, article distribution device, electronic equipment and computer readable medium |
CN115641034A (en) * | 2021-07-19 | 2023-01-24 | 顺丰科技有限公司 | Logistics distribution method and device considering cargo volume and computer equipment |
CN114067295A (en) * | 2021-11-18 | 2022-02-18 | 上海高德威智能交通系统有限公司 | Method and device for determining vehicle loading rate and vehicle management system |
CN114663016A (en) * | 2022-03-18 | 2022-06-24 | 深圳海星智驾科技有限公司 | Safe driving method and device, cloud platform and system |
Also Published As
Publication number | Publication date |
---|---|
CN116307985A (en) | 2023-06-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107871175B (en) | Vehicle and goods matching order dispatching method and device | |
CN102542395B (en) | A kind of emergency materials dispatching system and computing method | |
CN116307985B (en) | Energy-saving transportation method for building materials, computer equipment and medium | |
CN114331257A (en) | Logistics transportation loading management method, device, equipment and storage medium | |
CN112418475B (en) | Logistics path planning method and device, electronic equipment and storage medium | |
JP2016071595A (en) | Cargo management apparatus, cargo management program and cargo collection system | |
JP2007191296A (en) | Main physical distribution network schedule preparation system | |
CN112364262A (en) | Goods finding route recommendation method and device, electronic equipment and storage medium | |
CN116307573B (en) | Green energy-saving treatment method, equipment and medium for building site materials | |
CN114187502A (en) | Vehicle loading rate identification method and device, electronic equipment and storage medium | |
CN111860918B (en) | Distribution method and device, electronic equipment and computer readable medium | |
CN116957459A (en) | Intelligent matching method, system, equipment and storage medium based on freight scene | |
CN116629724A (en) | Logistics transportation management method, system and storage medium | |
CN116629735A (en) | Logistics distribution method, logistics distribution device and electronic equipment | |
CN115358480A (en) | Power material distribution path planning method, device and equipment based on cost and storage medium | |
CN114707820A (en) | Cargo transportation method and device, terminal equipment and readable storage medium | |
CN115099463A (en) | Method and device for predicting delivery risk of measured material | |
CN112862135B (en) | Express delivery route planning method, device, server and storage medium | |
CN115081666A (en) | Method, device, computer equipment and storage medium for determining transportation path | |
CN113159670A (en) | Method and system for loading cargoes of part logistics | |
CN113019937B (en) | Sorting strategy generation method, device, equipment and storage medium | |
CN117670257B (en) | Order distribution method, order distribution device, electronic equipment and medium | |
KR102688801B1 (en) | Simulation apparatus and method for design and operation of delivery terminal based on digital twin | |
CN116703285B (en) | Goods generation information processing method and system | |
CN113780966B (en) | Method and device for generating loading and unloading operation residual time information |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20230922 Address after: Room 266, 2nd Floor, No. 9 Guangyuan West Street, Zhangjiawan Town, Tongzhou District, Beijing, 101113 Applicant after: Beijing Zhongtian North Construction Co.,Ltd. Address before: No.65, Wuning East Road, Dongyang City, Jinhua City, Zhejiang Province 3222199 Applicant before: ZHONGTIAN CONSTRUCTION GROUP Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |