Material scheduling method and device based on intelligent storage and construction site linkage

Abstract

The invention provides a material scheduling method and device based on intelligent storage and construction site linkage, and relates to the technical field of building data processing. The method comprises the following steps: obtaining various material residual information of a target building construction project based on automatic identification equipment in intelligent storage, and obtaining various real-time material requirements of a construction site on the target building construction project based on computer vision; obtaining various material scheduling requirements of the target building construction project according to various real-time material requirements and various material residual information; and according to various material scheduling requirements, solving by taking the minimum scheduling distance and the shortest scheduling delay corresponding to each material as a target function based on an ant colony algorithm, and obtaining various material scheduling schemes of the target building construction project. According to the invention, various materials can be timely and properly distributed to various types of work in a complex working condition environment of building construction, so that the scheduling reasonability and the working efficiency of the building construction materials are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building data processing, and in particular to a material dispatching method and device based on intelligent warehousing and construction site linkage. Background Art

[0002] As the construction site of a building, a construction site is not only equipped with a large number of construction equipment, but also has a certain temporary storage function for construction materials. Due to the different degree of space availability of construction sites, the material management of different construction sites is also different. For some construction sites with fast construction schedules and ample length, they can reserve relatively more materials to meet the needs of the construction site at any time. For some construction sites with insufficient storage space, how to optimize material scheduling and adjust inventory in time according to actual construction conditions is a very practical topic.

[0003] However, the current material scheduling in the construction process is mostly simple scheduling management, which is usually only suitable for application in simple working conditions. However, there are multiple types of work and different processes in the construction process, and different types of work require different materials. In addition, due to the existence of processes, the delivery time of different materials is also different. Therefore, how to deliver various materials to various types of work in a timely and appropriate manner under the complex working conditions of construction is crucial to improving the rationality of construction material scheduling and work efficiency. Summary of the invention

[0004] The embodiment of the present invention provides a material dispatching method and device based on the linkage between intelligent warehousing and construction site, so as to solve the problem of how to distribute various materials to various types of work in a timely and appropriate amount under the complex working conditions of construction.

[0005] In a first aspect, an embodiment of the present invention provides a material scheduling method based on the linkage between intelligent warehousing and construction site, comprising:

[0006] Based on the automatic identification equipment in the intelligent warehouse, the remaining information of various materials of the target construction project is obtained, and based on computer vision, the real-time material requirements of the target construction project at the construction site are obtained;

[0007] Obtain various material scheduling requirements for the target construction project based on the various real-time material requirements and the various material remaining information;

[0008] According to the various material scheduling requirements, the ant colony algorithm is used to solve the objective function of minimizing the scheduling distance and the shortest scheduling delay corresponding to each material, so as to obtain various material scheduling solutions for the target construction project.

[0009] In a possible implementation, based on computer vision, various real-time material requirements for the target building construction project at the construction site are obtained, including:

[0010] Obtain construction site pictures of the target building construction project;

[0011] Based on computer vision, perform construction target recognition and completion degree detection on the construction site pictures to obtain the construction completion degree of the target building construction project;

[0012] Obtain the actual construction progress of the target building construction project according to the construction completion degree;

[0013] According to the actual construction progress and the construction plan information of the target building construction project, obtain various real-time material requirements for the target building construction project at the construction site.

[0014] In a possible implementation, according to the actual construction progress and the construction plan information of the target building construction project, obtain various real-time material requirements for the target building construction project at the construction site, including:

[0015] According to the actual construction progress and the construction plan information of the target building construction project, obtain the predicted construction progress of the target building construction project in the future time period;

[0016] According to the predicted construction progress and the predicted construction resistance of the target building construction project in the future time period, obtain various real-time material requirements for the target building construction project at the construction site.

[0017] In a possible implementation, before obtaining various real-time material requirements for the target building construction project at the construction site according to the predicted construction progress and the predicted construction resistance of the target building construction project in the future time period, it further includes:

[0018] According to the predicted construction progress, determine the predicted construction processes and the predicted construction environment data of the target building construction project in the future time period;

[0019] According to the predicted construction processes and the predicted construction environment data, obtain the predicted construction resistance of the target building construction project in the future time period.

[0020] In a possible implementation, according to various material scheduling requirements, based on the ant colony algorithm, solve with the minimum scheduling distance and the shortest scheduling delay corresponding to each material as the objective function to obtain various material scheduling schemes for the target building construction project, including:

[0021] For each of the described material scheduling requirements, initialize the pheromone concentration for each scheduling path from the scheduling start point to the scheduling target point of the material scheduling requirement at different scheduling start times, and obtain the initial pheromone concentration of each scheduling path at different scheduling start times;

[0022] Based on the initial pheromone concentration and visibility of each scheduling path at different scheduling start times, select a candidate scheduling start time and a candidate scheduling path;

[0023] According to the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time, update the pheromone concentration of the candidate scheduling path at the candidate scheduling start time;

[0024] Based on the updated pheromone concentration and visibility of the candidate scheduling path at the candidate scheduling start time, repeat the steps of "selecting a candidate scheduling start time and a candidate scheduling path" and subsequent steps until the scheduling distance is minimized and the scheduling delay is minimized, and obtain the material scheduling plan for the target building construction project regarding the material scheduling requirement.

[0025] In a possible implementation manner, according to the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time, updating the pheromone concentration of the candidate scheduling path at the candidate scheduling start time includes:

[0026] Calculate the pheromone increment according to the reciprocal of the scheduling distance and the reciprocal of the scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time;

[0027] Update the pheromone concentration of the candidate scheduling path at the candidate scheduling start time according to the pheromone increment.

[0028] In a second aspect, an embodiment of the present invention provides a material scheduling device based on the linkage between an intelligent warehouse and a construction site, including:

[0029] An acquisition module, configured to acquire various remaining material information of a target building construction project based on an automatic identification device in an intelligent warehouse, and acquire various real-time material requirements of the construction site regarding the target building construction project based on computer vision;

[0030] A processing module, configured to obtain various material scheduling requirements of the target building construction project according to the various real-time material requirements and the various remaining material information;

[0031] A scheduling plan generation module, configured to solve, based on the ant colony algorithm, each material scheduling requirement of the target building construction project with the minimum scheduling distance and the shortest scheduling delay as the objective function, and obtain various material scheduling plans of the target building construction project.

[0032] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation manner of the first aspect as described above is implemented.

[0033] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the method in the first aspect or any possible implementation manner of the first aspect as described above is implemented.

[0034] In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program. When the computer program is executed by a processor, the method in the first aspect or any possible implementation manner of the first aspect as described above is implemented.

[0035] In the embodiments of the present invention, first, based on the automatic identification devices in the intelligent warehouse, various remaining material information of the target building construction project is obtained, and based on computer vision, various real-time material requirements of the target building construction project at the construction site are obtained. Then, according to various real-time material requirements and various remaining material information, various material scheduling requirements of the target building construction project are obtained. Finally, according to various material scheduling requirements, based on the ant colony algorithm, with the minimum scheduling distance and the shortest scheduling delay corresponding to each material as the objective function, solutions are obtained to obtain various material scheduling plans for the target building construction project. Precise management and tracking of materials in the intelligent warehouse can be realized by integrating automatic identification technologies such as RFID and barcode scanning; at the same time, combined with the real-time material requirements at the construction site, intelligent scheduling algorithms are used to optimize the material distribution path and time, so as to realize the timely and appropriate delivery of various materials to each type of work in the complex working condition environment of building construction, thereby improving the rationality of building construction material scheduling and work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flowchart of the implementation of the material scheduling method based on the linkage between the intelligent warehouse and the construction site provided by the embodiment of the present invention;

[0037] Figure 2 is a schematic structural diagram of the material scheduling device based on the linkage between the intelligent warehouse and the construction site provided by the embodiment of the present invention;

[0038] Figure 3 is a schematic diagram of the electronic device provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0040] SeeFigure 1 , which shows the implementation flowchart of the material scheduling method based on the linkage between intelligent warehousing and construction sites provided by the embodiments of the present invention, and is described in detail as follows:

[0041] Step 101: Based on the automatic identification devices in the intelligent warehouse, obtain various remaining material information of the target building construction project, and based on computer vision, obtain various real-time material requirements of the construction site for the target building construction project.

[0042] Exemplarily, the automatic identification devices in the intelligent warehouse may include RFID electronic tags, barcode scanning devices, image acquisition devices, etc.

[0043] Exemplarily, barcodes can be attached to each bundle of steel bars or each batch of steel, and the warehousing, outbound, and inventory information can be quickly recorded by scanning. Or RFID tags can be installed on the steel bars or steel to achieve non-contact batch reading and tracking.

[0044] Among them, for long-strip materials such as pipes and cables, readable and writable RFID tags can be used to update the usage conditions such as the length of the materials in real time, so as to accurately obtain the remaining material information of the corresponding materials.

[0045] Exemplarily, for materials without a fixed shape such as bricks, sand, and concrete, image acquisition devices can be used to count their remaining material information through computer vision technology.

[0046] It should be noted that for other materials required during the building construction process, other sensors can also be used for automatic identification to achieve the automatic acquisition of the remaining material information. The embodiments of the present invention do not limit the types of automatic identification devices for obtaining the remaining material information.

[0047] On this basis, in order to achieve timely and appropriate material scheduling during the building construction process, various real-time material requirements of the construction site for the target building construction project can also be obtained based on computer vision, so as to accurately determine the actual various material scheduling requirements of the target building construction project.

[0048] Optionally, obtaining various real-time material requirements of the construction site for the target building construction project based on computer vision may include:

[0049] Obtain the construction site pictures of the target building construction project.

[0050] Based on computer vision, perform construction target recognition and completion degree detection on the construction site pictures to obtain the construction completion degree of the target building construction project.

[0051] Obtain the actual construction progress of the target building construction project according to the construction completion degree.

[0052] Obtain various real-time material requirements for the target building construction project at the construction site according to the actual construction progress and the construction plan information of the target building construction project.

[0053] Among them, based on a preset construction target recognition model, the construction targets in the construction site pictures can be recognized. After recognizing the construction targets in the construction site pictures, their completion degrees can be detected based on the standard completion conditions of the construction targets, and then the actual construction progress of the target building construction project can be determined based on their completion degrees. After obtaining the actual construction progress of the target building construction project, combined with the construction plan information of the target building construction project, the types of work and processes for the subsequent construction of the target building construction project can be estimated, and then based on the subsequent types of work and processes, the required material requirements can be estimated, that is, various real-time material requirements for the target building construction project at the construction site.

[0054] Optionally, obtaining various real-time material requirements for the target building construction project at the construction site according to the actual construction progress and the construction plan information of the target building construction project may include:

[0055] Obtain the predicted construction progress of the target building construction project in the future period according to the actual construction progress and the construction plan information of the target building construction project.

[0056] Obtain various real-time material requirements for the target building construction project at the construction site according to the predicted construction progress and the predicted construction resistance of the target building construction project in the future period.

[0057] Among them, obtaining the predicted construction progress of the target building construction project in the future period according to the actual construction progress and the construction plan information of the target building construction project, that is, obtaining the types of work and processes to be constructed in the future period of the target building construction project according to the actual construction progress and the construction plan information of the target building construction project. On this basis, the possible construction obstacles in the future period of the target building construction project are also considered, that is, the predicted construction resistance. Then, according to the types of work and processes to be constructed in the future period of the target building construction project and the predicted construction resistance of the target building construction project in the future period, the various materials and quantities required for the target building construction project in the future period can be determined, so as to obtain various real-time material requirements for the target building construction project at the construction site.

[0058] Optionally, before obtaining various real-time material requirements for the target building construction project at the construction site according to the predicted construction progress and the predicted construction resistance of the target building construction project in the future period, it further includes:

[0059] Determine the predicted construction processes and the predicted construction environment data in the future period of the target building construction project according to the predicted construction progress.

[0060] Based on the predicted construction process and the predicted construction environment data, obtain the predicted construction resistance of the target building construction project in the future time period.

[0061] In this embodiment, in order to quantitatively measure the predicted construction resistance of the target building construction project in the future time period, to more accurately determine various real-time material requirements on the construction site for the target building construction project, and further more accurately determine various material scheduling requirements of the target building construction project, the influence of the construction process and construction environment data on the construction progress can be considered.

[0062] Exemplarily, according to the predicted construction process, the actual construction progress of the target building construction project, and the preset construction resistance table, the first construction resistance corresponding to the predicted construction process can be determined. According to the predicted construction environment data, the corresponding second construction resistance can be determined. By combining the first construction resistance and the second construction resistance, the predicted construction resistance of the target building construction project in the future time period can be obtained.

[0063] Among them, the preset construction resistance table can be a correspondence table between the predicted construction process, the actual construction progress, and the construction resistance. Exemplarily, based on big data, the situations affecting the construction progress in each historical building construction project can be statistically analyzed to obtain the probabilities of affecting the construction progress under different actual construction progress and different predicted construction processes in different historical building construction projects, and use this probability as the construction resistance under the corresponding actual construction progress and predicted construction process to obtain the preset construction resistance table.

[0064] Among them, the first construction resistance and the second construction resistance can be combined by means such as summation, weighted summation, etc., to obtain the predicted construction resistance of the target building construction project in the future time period.

[0065] Step 102, according to various real-time material requirements and various material remaining information, obtain various material scheduling requirements of the target building construction project.

[0066] Exemplarily, according to various real-time material requirements and various material remaining information, the difference can be made between various real-time material requirements and various material remaining information to obtain various material scheduling requirements of the target building construction project.

[0067] Step 103, according to various material scheduling requirements, based on the ant colony algorithm, solve with the minimum scheduling distance and the shortest scheduling delay corresponding to each material as the objective function to obtain various material scheduling plans of the target building construction project.

[0068] Among them, the ant colony algorithm is a heuristic optimization algorithm inspired by the behavior of ants in nature. Its core idea is to simulate the mechanism of ants collaborating through pheromones to find the optimal path, and is used to solve combinatorial optimization problems (such as path planning, task scheduling, etc.).

[0069] In this embodiment, after obtaining various material scheduling requirements for the target building construction project, considering that some materials need to be scheduled in advance and the scheduling paths corresponding to different scheduling times may also be different, therefore, based on the ant colony algorithm, the objective function is to minimize the scheduling distance and the shortest scheduling delay for each material, and the distance and time required for material scheduling can be comprehensively considered, which helps to realize the timely and appropriate scheduling of various materials under complex construction site conditions, thereby improving the scheduling rationality and work efficiency of building construction materials.

[0070] Optionally, according to various material scheduling requirements, based on the ant colony algorithm, the objective function is to minimize the scheduling distance and the shortest scheduling delay for each material, and various material scheduling plans for the target building construction project can be obtained, which may include:

[0071] For each material scheduling requirement, initialize the pheromone concentration of each scheduling path from the scheduling starting point to the scheduling target point at different scheduling starting times, and obtain the initial pheromone concentration of each scheduling path at different scheduling starting times.

[0072] According to the initial pheromone concentration and visibility of each scheduling path at different scheduling starting times, select the candidate scheduling starting time and the candidate scheduling path.

[0073] According to the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling starting time, update the pheromone concentration of the candidate scheduling path at the candidate scheduling starting time.

[0074] According to the updated pheromone concentration and visibility of the candidate scheduling path at the candidate scheduling starting time, repeat the steps of "selecting the candidate scheduling starting time and the candidate scheduling path" and subsequent steps until the scheduling distance is the smallest and the scheduling delay is the shortest, and obtain the material scheduling plan for the target building construction project regarding this material scheduling requirement.

[0075] Among them, when initializing the pheromone concentration, if the initial value is too small, the algorithm is prone to premature convergence, and the ants will quickly concentrate on a locally optimal path. If the initial value is too large, the guiding role of the pheromone on the search direction is reduced, affecting the algorithm performance. Therefore, combined with the characteristics of considering the scheduling distance and scheduling delay of material scheduling in this embodiment, a target scheduling starting time can be selected first according to the deviation between different scheduling starting times and the theoretical scheduling starting time of the material, and then a target scheduling path from the scheduling starting point to the scheduling target point of the material scheduling requirement can be selected at the target scheduling starting time according to a specific rule (such as the greedy algorithm). Furthermore, the initial value of the pheromone concentration is determined according to the distance of the target scheduling distance and the number of ants in the ant colony algorithm.

[0076] Among them, the theoretical scheduling start time of the material can be determined according to the usage time limit of the material. For example, assuming that the concrete needs to be used within 2 days after being scheduled to the site, for the concrete material, its theoretical scheduling start time is 2 days before the time point when the concrete material is needed.

[0077] Exemplarily, when selecting a target scheduling start time according to the deviation between different scheduling start times and the theoretical scheduling start time of the material, the scheduling start time with a deviation of zero from the theoretical scheduling start time of the material can be determined as the target scheduling start time, so as to determine the initial value of the pheromone concentration in combination with the appropriate scheduling start time determination information.

[0078] Exemplarily, it is possible to select candidate scheduling start times and candidate scheduling paths.

[0079] Among them, P ij is the selection probability of the scheduling path from node i to node j at a certain scheduling start time, τ ij is the initial pheromone concentration or the updated pheromone concentration of the scheduling path from node i to node j at a certain scheduling start time, η ij is the visibility of the scheduling path from node i to node j at a certain scheduling start time, generally the reciprocal of the scheduling distance corresponding to the scheduling path from node i to node j, and α and β can be constants, respectively representing the weighting values of the pheromone concentration and the visibility of the scheduling path from node i to node j.

[0080] Exemplarily, it is possible to determine the scheduling start time and the scheduling path with a selection probability greater than a preset threshold as the candidate scheduling start time and the candidate scheduling path.

[0081] Optionally, according to the scheduling distance and the scheduling delay corresponding to the candidate scheduling path under the candidate scheduling start time, updating the pheromone concentration of the candidate scheduling path under the candidate scheduling start time may include:

[0082] Calculating the pheromone increment according to the reciprocal of the scheduling distance and the reciprocal of the scheduling delay corresponding to the candidate scheduling path under the candidate scheduling start time.

[0083] Updating the pheromone concentration of the candidate scheduling path under the candidate scheduling start time according to the pheromone increment.

[0084] Exemplarily, it is possible to calculate the pheromone increment.

[0085] Among them, Δτ ij is the pheromone increment corresponding to the candidate scheduling path under the candidate scheduling start time, d ijis the scheduling distance corresponding to the candidate scheduling path at the candidate scheduling start time, Δt ij is the scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time. a and b can be constants, representing the weighting values of the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time respectively.

[0086] After calculating the pheromone increment, according to τ i ′ j =(1 - ρ)τ ij +Δτ ij the updated pheromone concentration τ i ′ j of the candidate scheduling path at the candidate scheduling start time is obtained. Among them, ρ represents the evaporation rate of the pheromone concentration, and its value can be determined according to the actual situation.

[0087] After updating the pheromone concentration of the candidate scheduling path at the candidate scheduling start time, repeat the above process of selecting the candidate scheduling start time and the candidate scheduling path until the scheduling start time and the scheduling path with the minimum scheduling distance and the shortest scheduling delay are obtained, and then use them as the material scheduling plan for the material scheduling requirements of the target building construction project.

[0088] Alternatively, when the scheduling start time and the scheduling path with the minimum scheduling distance and the shortest scheduling delay cannot be obtained, if the loop reaches the set number of loops or all scheduling paths at all scheduling start times have been traversed, then select a sub-optimal solution with a relatively small scheduling distance and a relatively short scheduling delay as the material scheduling plan for the material scheduling requirements of the target building construction project.

[0089] In the embodiments of the present invention, first, based on the automatic identification devices in the intelligent warehouse, various remaining information of the target building construction project is obtained, and based on computer vision, various real-time material requirements at the construction site for the target building construction project are obtained. Then, according to various real-time material requirements and various remaining information of materials, various material scheduling requirements of the target building construction project are obtained. Finally, according to various material scheduling requirements, based on the ant colony algorithm, with the minimum scheduling distance and the shortest scheduling delay corresponding to each material as the objective function, solutions are obtained for various material scheduling plans of the target building construction project. By integrating automatic identification technologies such as RFID and barcode scanning, precise management and tracking of materials in the intelligent warehouse can be realized; at the same time, combined with the real-time material requirements at the construction site, intelligent scheduling algorithms are used to optimize the material distribution path and time, so as to deliver various materials to each type of work in a timely and appropriate manner under the complex working conditions of building construction, thereby improving the rationality and work efficiency of building construction material scheduling. Moreover, this method can support mobile applications, facilitating on-site staff to submit material applications and receive distribution notifications, effectively improving the overall construction efficiency and management level.

[0090] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0091] The following is an apparatus embodiment of the present invention. For details not described in detail, reference may be made to the corresponding method embodiments above.

[0092] Figure 2 The structural schematic diagram of the material scheduling apparatus based on the linkage between intelligent warehousing and the construction site provided by the embodiments of the present invention is shown. For the convenience of description, only the parts related to the embodiments of the present invention are shown and are described in detail as follows:

[0093] As Figure 2 shown, the material scheduling apparatus based on the linkage between intelligent warehousing and the construction site includes: an acquisition module 21, a processing module 22, and a scheduling plan generation module 23.

[0094] The acquisition module 21 is configured to obtain various remaining material information of the target building construction project based on the automatic identification equipment in the intelligent warehousing, and obtain various real-time material requirements of the construction site for the target building construction project based on computer vision;

[0095] The processing module 22 is configured to obtain various material scheduling requirements of the target building construction project according to the various real-time material requirements and the various remaining material information;

[0096] The scheduling plan generation module 23 is configured to solve according to the various material scheduling requirements, with the minimum scheduling distance and the shortest scheduling delay corresponding to each material as the objective function based on the ant colony algorithm, and obtain various material scheduling plans of the target building construction project.

[0097] In a possible implementation manner, the acquisition module 21 may be configured to obtain a construction site picture of the target building construction project; perform construction target recognition and completion degree detection on the construction site picture based on computer vision to obtain the construction completion degree of the target building construction project; obtain the actual construction progress of the target building construction project according to the construction completion degree; and obtain various real-time material requirements of the construction site for the target building construction project according to the actual construction progress and the construction plan information of the target building construction project.

[0098] In a possible implementation, the obtaining module 21 can be used to obtain the predicted construction progress of the target building construction project in a future period according to the actual construction progress and the construction plan information of the target building construction project; and obtain various real-time material requirements on the construction site for the target building construction project according to the predicted construction progress and the predicted construction resistance of the target building construction project in the future period.

[0099] In a possible implementation, the obtaining module 21 can also be used to determine the predicted construction processes and the predicted construction environment data of the target building construction project in a future period according to the predicted construction progress; and obtain the predicted construction resistance of the target building construction project in the future period according to the predicted construction processes and the predicted construction environment data.

[0100] In a possible implementation, the scheduling scheme generation module 23 can be used to, for each of the material scheduling requirements, initialize the pheromone concentration of each scheduling path from the scheduling starting point to the scheduling target point at different scheduling starting times, so as to obtain the initial pheromone concentration of each scheduling path at different scheduling starting times; select a candidate scheduling starting time and a candidate scheduling path according to the initial pheromone concentration and the visibility of each scheduling path at different scheduling starting times; update the pheromone concentration of the candidate scheduling path at the candidate scheduling starting time according to the scheduling distance and the scheduling delay corresponding to the candidate scheduling path at the candidate scheduling starting time; and repeat the steps of "selecting a candidate scheduling starting time and a candidate scheduling path" and subsequent steps according to the updated pheromone concentration and the visibility of the candidate scheduling path at the candidate scheduling starting time until the scheduling distance is the smallest and the scheduling delay is the shortest, so as to obtain the material scheduling scheme of the target building construction project for the material scheduling requirement.

[0101] In a possible implementation, the scheduling scheme generation module 23 can be used to calculate the pheromone increment according to the reciprocal of the scheduling distance and the reciprocal of the scheduling delay corresponding to the candidate scheduling path at the candidate scheduling starting time; and update the pheromone concentration of the candidate scheduling path at the candidate scheduling starting time according to the pheromone increment.

[0102] Figure 3 is a schematic diagram of the electronic device provided by an embodiment of the present invention. As Figure 3 shown, the electronic device 3 of this embodiment includes: a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, the steps in the above-mentioned various method embodiments are implemented. Alternatively, when the processor 30 executes the computer program 32, the functions of each module / unit in the above-mentioned various device embodiments are implemented.

[0103] Exemplarily, the computer program 32 can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0104] The electronic device 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art can understand that Figure 3 merely examples of the electronic device 3, which do not constitute a limitation to the electronic device 3, may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the electronic device 3 may further include input / output devices, network access devices, buses, etc.

[0105] The processor 30 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0106] The memory 31 may be an internal storage unit of the electronic device 3, such as the hard disk or memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 3. Further, the memory 31 may also include both the internal storage unit and the external storage device of the electronic device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0107] For the convenience and brevity of description, only the above division of each functional module / unit is used as an example. In practical applications, the above functions may be assigned to different functional modules / units according to needs. The above modules / units can be implemented in the form of hardware, or in the form of software, or in the form of a combination of hardware and software.

[0108] An embodiment of the present invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the methods in the above method embodiments are implemented.

[0109] An embodiment of the present invention also provides a computer program product including a computer program. When the computer program is executed by a processor, the methods in the above method embodiments are implemented.

[0110] Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0111] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Without special instructions and logical conflicts, the terms and / or descriptions between different embodiments are consistent and can be mutually referred to, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0112] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A material dispatching method based on intelligent warehousing and construction site linkage, characterized in that: include: Based on the automatic identification equipment in the intelligent warehouse, the remaining information of various materials of the target construction project is obtained, and based on computer vision, the real-time material requirements of the target construction project at the construction site are obtained; Obtain various material scheduling requirements for the target construction project based on the various real-time material requirements and the various material remaining information; According to the various material scheduling requirements, the ant colony algorithm is used to solve the objective function of minimizing the scheduling distance and the shortest scheduling delay corresponding to each material, so as to obtain various material scheduling solutions for the target construction project.

2. The material dispatching method based on intelligent warehousing and construction site linkage according to claim 1 is characterized in that: Based on computer vision, various real-time material requirements of the target construction project are obtained at the construction site, including: Obtain construction site pictures of the target building construction project; Based on computer vision, the construction site image is used to identify construction targets and detect completion, so as to obtain the construction completion degree of the target building construction project; Obtaining the actual construction progress of the target building construction project according to the construction completion degree; According to the actual construction progress and the construction plan information of the target building construction project, various real-time material requirements of the construction site for the target building construction project are obtained.

3. The material dispatching method based on intelligent warehousing and construction site linkage according to claim 2 is characterized in that: According to the actual construction progress and the construction plan information of the target building construction project, various real-time material requirements of the construction site for the target building construction project are obtained, including: Obtaining a predicted construction progress of the target building construction project in a future period according to the actual construction progress and the construction plan information of the target building construction project; According to the predicted construction progress and the predicted construction resistance of the target building construction project in the future period, various real-time material requirements for the target building construction project at the construction site are obtained.

4. The material dispatching method based on intelligent warehousing and construction site linkage according to claim 3 is characterized in that: Before obtaining various real-time material requirements of the target building construction project at the construction site according to the predicted construction progress and the predicted construction resistance of the target building construction project in the future period, the method further includes: Determine the predicted construction process and predicted construction environment data of the target building construction project in the future period according to the predicted construction progress; According to the predicted construction process and the predicted construction environment data, the predicted construction resistance of the target building construction project in the future period is obtained.

5. The material dispatching method based on intelligent warehousing and construction site linkage according to claim 1 is characterized in that: According to the various material scheduling requirements, the ant colony algorithm is used to solve the objective function of minimizing the scheduling distance and minimizing the scheduling delay corresponding to each material, and various material scheduling solutions for the target construction project are obtained, including: For each material scheduling demand, the pheromone concentration of each scheduling path from the scheduling starting point of the material scheduling demand to the scheduling target point at different scheduling start times is initialized to obtain the initial pheromone concentration of each scheduling path at different scheduling start times; According to the initial pheromone concentration and visibility of each scheduling path at different scheduling start times, a candidate scheduling start time and a candidate scheduling path are selected; According to the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time, the pheromone concentration of the candidate scheduling path at the candidate scheduling start time is updated; According to the updated pheromone concentration and visibility of the candidate scheduling path at the candidate scheduling start time, the step of "selecting the candidate scheduling start time and the candidate scheduling path" and subsequent steps are repeatedly executed until the scheduling distance is minimized and the scheduling delay is minimized, thereby obtaining a material scheduling plan for the material scheduling demand of the target construction project.

6. The material dispatching method based on intelligent warehousing and construction site linkage according to claim 5 is characterized in that: The method of updating the pheromone concentration of the candidate scheduling path at the candidate scheduling start time according to the scheduling distance and scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time includes: Calculate the pheromone increment according to the reciprocal of the scheduling distance and the reciprocal of the scheduling delay corresponding to the candidate scheduling path at the candidate scheduling start time; The pheromone concentration of the candidate scheduling path at the candidate scheduling start time is updated according to the pheromone increment.

7. A material dispatching device based on intelligent warehousing and construction site linkage, characterized in that: include: An acquisition module is used to obtain various material remaining information of the target building construction project based on the automatic identification equipment in the intelligent warehouse, and to obtain various real-time material requirements of the target building construction project at the construction site based on computer vision; A processing module, used for obtaining various material scheduling requirements of a target building construction project according to various real-time material requirements and various material surplus information; The scheduling scheme generation module is used to obtain various material scheduling schemes for the target construction project based on the various material scheduling requirements and the ant colony algorithm to solve the objective function of minimizing the scheduling distance and minimizing the scheduling delay corresponding to each material.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The method comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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