Earthwork optimization and allocation system and method based on big data analysis

Abstract

The invention relates to an earthwork optimization allocation system and method based on big data analysis, and belongs to the technical field of agriculture. The system comprises a big data platform, a reclamation project platform, a dredging project platform, a riverway and dam reinforcement project platform and a road network and energy project platform. The reclamation project platform collects and stores reclamation project data and transmits the reclamation project data to the big data platform; the desilting project platform collects and stores desilting project data and transmits the desilting project data to the big data platform; the riverway and dam reinforcement project platform collects and stores dredging project data and transmits the dredging project data to the big data platform; the road network and energy project platform collects and stores dredging project data and transmits the dredging project data to the big data platform. According to the invention, the precision of earth and stone blending is improved, the resource integration degree is improved, and the fertility of cultivated land is improved.

Description

Technical Field

[0001] The present invention belongs to the field of agricultural technology, and in particular relates to an earthwork optimization allocation system and method based on big data analysis. Background Art

[0002] The potential impact of engineering waste on the environment cannot be underestimated due to its large amount and confusing treatment methods. Recycling engineering waste soil is a good way to protect the environment and generate new resources.

[0003] The existing method of raising seedlings requires a large amount of eroded soil and dozens of laborers to raise seedlings for one hectare of paddy field. In some places, due to excessive excavation of eroded soil for raising seedlings, there is no eroded soil left.

[0004] At present, the disposal methods of engineering waste soil are as follows: firing bricks and tiles, which not only turns waste into treasure, but also can replace solid clay bricks, and can also play a strong role in promoting the protection and rational utilization of soil resources; the waste soil can be used to backfill into the soil pit and level it, which can not only achieve the comprehensive utilization of land resources, but also restore farmland production. However, the soil must be improved after backfilling, and deep plowing, turning and drying should be carried out while adding fertilizer to promote the maturation of the raw soil to meet the requirements of crop growth; backfilling low-lying farmland, raising the field surface, reducing the impact of ground subsidence, improving the farmland's ability to resist flooding, and restoring farmland cultivation, but before the waste soil is backfilled into the field, the original topsoil layer needs to be peeled off and piled up first, and the field surface needs to be raised and leveled before the topsoil is covered again; land reclamation, land reclamation from the sea requires filling of a large amount of earth and stone, so using engineering waste soil as filler is a problem that needs to be solved in waste soil stacking.

[0005] The silt in the dredging project contains a lot of organic matter. The silt can be used as nutrient soil for crop growth when it is deposited on the surface of the field at the reclamation site. How to combine the dredging project with farmland reclamation to achieve optimal allocation of earth and stone is an urgent problem that technicians in this field need to solve. Summary of the invention

[0006] To solve the above problems, the purpose of the present invention is to provide a system and method for optimizing earthwork allocation based on big data analysis, which improves the accuracy of earthwork allocation, improves resource integration, and improves the fertility of cultivated land.

[0007] An earthwork optimization and allocation system based on big data analysis, including a big data platform, a land reclamation project platform, a dredging project platform, a river channel and dam reinforcement project platform, and a road network and energy project platform;

[0008] The coordinates of multiple reclamation points in the reclamation project are marked as Xi, i is a positive integer; the volume demanded by the reclamation point Xi is Vi, the surface area of ​​the field after excavation or filling at the reclamation point Xi is Si, the thickness of the silt accumulated on the field surface after excavation or filling at the reclamation point Xi is di, and the volume of silt accumulated on the field surface after excavation or filling at the reclamation point Xi is Ui;

[0009] The coordinates of multiple desilting points in the desilting project are marked as Yj, where j is a positive integer; the supply volume of desilting point Yj is Wj;

[0010] The total volume of silt investigated for the road network and energy projects is Ai;

[0011] The reclamation project platform collects and stores reclamation project data and transmits it to the big data platform;

[0012] The dredging project platform collects and stores dredging project data and transmits it to the big data platform;

[0013] The river channel and dam reinforcement project platform collects and stores dredging project data and transmits it to the big data platform;

[0014] The road network and energy project platform collects and stores dredging project data and transmits it to the big data platform.

[0015] Preferably, the big data platform communicates data with the land reclamation project platform, the dredging project platform, the river channel and dam reinforcement project platform and the road network and energy project platform respectively.

[0016] Preferably, Ui=Sidi.

[0017] A method for optimizing the deployment of earthwork based on big data analysis, comprising the system for optimizing the deployment of earthwork based on big data analysis as claimed in any one of claims 1 to 3, comprising the following steps:

[0018] The big data platform sums up the demand volume Vi of multiple reclamation points Xi of the reclamation project to obtain ∑V i ;

[0019] If ∑V i ≥0, indicating that there is earthwork surplus in multiple reclamation projects, then ∑V i Transport to the road network and energy project earthwork storage area for use by the road network and energy projects; if ∑V i <0, indicating that there is a shortage of earthwork in multiple reclamation projects, and earthwork storage areas of road network and energy projects should be transferred|∑V i |’s earthwork to the land reclamation project to achieve earthwork balance for the land reclamation project.

[0020] Preferably, the demand quantity Vi of multiple reclamation points Xi is corrected, specifically as follows:

[0021] The volume of stones removed during excavation or filling at each reclamation point Xi is recorded as Ti;

[0022] If the reclamation point Xi is excavation, the big data platform will correct the demand volume to Vi-Ti and Vi-Ti is a positive number;

[0023] If the reclamation point Xi is filled, the big data platform will correct the demand volume to Vi+Ti and the value of Vi+Ti will be negative;

[0024] For all the reclamation points Xi that are excavated, the total earthwork volume R1 and the total stone volume R3 are respectively:

[0025] R1=∑(V i -T i ),

[0026] R3=∑T i ;

[0027] For all reclamation points Xi that are filled, the total earthwork volume R2 and the total stone volume R4 are respectively:

[0028] R2=∑(V i +T i );

[0029] R4=∑T i ;

[0030] The big data platform calculates R1+R2;

[0031] If R1+R2≥0, the main amount of soil R1+R2 will be transported to the earthwork storage area of ​​the road network and energy project; if R1+R2<0, the earthwork of |R1+R2|+R3 will be transferred from the earthwork storage area of ​​the road network and energy project to the reclamation project to achieve the earthwork balance of the reclamation project; the stone volume R3+R4 will be transported to the storage area of ​​the river channel and dam reinforcement project.

[0032] Preferably, the method further comprises the following steps:

[0033] The total volume of silt accumulated on the field surface after excavation or filling at multiple reclamation points Xi is:

[0034] R5=∑U i ;

[0035] The total sludge supply R6 of multiple desilting points Yj is:

[0036] R6=∑W j ;

[0037] When R5=R6, the big data platform uses machine learning algorithms or deep learning algorithms to minimize the transportation distance between multiple dredging points and multiple reclamation points.

[0038] Preferably, the following steps are further included:

[0039] When R5 < R6, adjust the thickness of the silt accumulated on the surface of the field after excavation or filling, specifically:

[0040] Method 1:

[0041] Adjust according to a uniform thickness Δd, satisfying the following formula:

[0042] ∑S i (d i + Δd) = R6.

[0043] Preferably, the following steps are further included:

[0044] When R5 < R6, adjust the thickness of the silt accumulated on the surface of the field after excavation or filling, specifically:

[0045] Method 2:

[0046] Adjust according to different thicknesses for different reclamation points Xi, specifically:

[0047] Set different weights λi for different reclamation points Xi, satisfying the following formula:

[0048] ∑S i (d i + λ i Δd) = R6.

[0049] Preferably, the following steps are further included:

[0050] When R5 > R6, adjust the thickness of the silt accumulated on the surface of the field after excavation or filling, specifically:

[0051] Method 3:

[0052] Adjust according to a uniform thickness Δd, satisfying the following formula:

[0053] ∑S i (d i - Δd) = R6.

[0054] Preferably, the following steps are further included:

[0055] When R5 > R6, adjust the thickness of the silt accumulated on the surface of the field after excavation or filling, specifically:

[0056] Method 4:

[0057] First, arrange the surface area Si of the field after excavation or filling at the reclamation point Xi in descending order;

[0058] second, depositing silt on the surface of the field in descending order from largest to smallest;

[0059] Third, the reclamation sites Xi where no silt has been deposited will take silt from the total silt volume Ai surveyed for road network and energy project investigation for deposition.

[0060] Beneficial technical effects:

[0061] Through the big data platform, the earth and stone materials of land reclamation projects, dredging projects, river and embankment reinforcement projects, road network and energy projects can be optimized and allocated to improve resource integration, increase allocation accuracy, and further effectively improve the fertility of cultivated land. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0063] Figure 1 This is a schematic diagram of excavation for a land reclamation project according to an embodiment of the present invention.

[0064] Figure 2 This is a schematic diagram of filling land in a land reclamation project according to an embodiment of the present invention.

[0065] Figure 3 It is a schematic diagram of the connection relationship of the items in the embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0067] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0068] Embodiment 1

[0069] The present invention discloses an earthwork optimization allocation system and method based on big data analysis, including a big data platform, a land reclamation project platform, a dredging project platform, a river channel and dam reinforcement project platform, and a road network and energy project platform.

[0070] Optionally, the big data platform can be set up as a data center in the urban project center.

[0071] Optionally, the land reclamation project platform, dredging project platform, river and dam reinforcement project platform and road network and energy project platform can be set up as sub-data centers in county or town project sub-centers.

[0072] Optionally, the big data platform communicates data with the land reclamation project platform, the dredging project platform, the river channel and dam reinforcement project platform and the road network and energy project platform respectively.

[0073] Optionally, the land reclamation project is to reclaim sloping land or wasteland into arable land.

[0074] The coordinates of multiple reclamation points in the reclamation project are marked with X i , that is, the coordinates of the first reclamation point are X1, the coordinates of the second reclamation point are X2, and the coordinates of the i-th reclamation point are X i , i is a positive integer; optionally 1≤i≤n, n is a positive integer; reclamation point X i The demand side quantity is V i , V i When it is a positive number, it indicates the amount of earth that needs to be transported out for land reclamation and excavation. i When it is a negative number, it means that the amount of earthwork required for reclamation and filling is external; i The surface area of ​​the field after excavation or filling is S i , Reclamation Point X i The thickness of the silt accumulated on the surface of the field after excavation or filling is d i , Reclamation Point X i The volume of silt accumulated on the field surface after excavation or filling is U i .

[0075] Optionally, U i =S i d i .

[0076] Optionally, the dredging project is pond or river dredging. The silt contains more organic matter, and the silt can be deposited on the surface of the field at the reclamation site to serve as nutrient soil for crop growth.

[0077] The coordinates of multiple desilting points in the desilting project are marked as Y j , j is a positive integer; desilting point Y j The supply quantity is W j .

[0078] Optionally, the river and embankment reinforcement project is the reinforcement and / or renovation of the river and / or embankment.

[0079] Optionally, the road network and energy project is a new construction or reconstruction project of a road and / or energy project, and the energy project may be a thermal power plant, a small hydropower station or a pumped storage station project.

[0080] The total silt volume of the road network and energy project survey is A i .

[0081] The reclamation project platform collects and stores reclamation project data and transmits it to the big data platform.

[0082] The dredging project platform collects and stores dredging project data and transmits it to the big data platform.

[0083] The river channel and dam reinforcement project platform collects and stores dredging project data and transmits it to the big data platform.

[0084] The road network and energy project platform collects and stores dredging project data and transmits it to the big data platform.

[0085] A method for optimizing the earthwork allocation system based on big data analysis comprises the following steps:

[0086] The big data platform is used to analyze the multiple reclamation sites of the reclamation project i The demand side V i Summing to get ∑V i ;

[0087] If ∑V i ≥0, indicating that there is earthwork surplus in multiple reclamation projects, then ∑V i Transport to the road network and energy project earthwork storage area for use by the road network and energy projects; if ∑V i <0, indicating that there is a shortage of earthwork in multiple reclamation projects, and earthwork storage areas of road network and energy projects should be transferred|∑V i |’s earthwork to the land reclamation project to achieve earthwork balance for the land reclamation project.

[0088] In an optional embodiment, since the prior art does not consider the influence of stones on the earthwork volume in excavation and filling projects, thus affecting the accuracy of earthwork allocation, the influence of stones is considered in this embodiment, so as to i The demand side V i Make corrections, specifically:

[0089] Record each reclamation point X i The amount of stone removed during excavation or filling is T i ;

[0090] If you want to reclaim wasteland X iIf it is excavation, the big data platform will correct the demand volume to V i -T i And V i -T i is a positive number, where the demand V i Contains T i The volume of stone and the volume of earth transported out is (V i -T i );

[0091] If you want to reclaim wasteland X i If the demand is filled, the big data platform will correct the demand volume to V i +T i And V i +T i The value is negative, T i The additional volume of stone produced for filling and leveling the site;

[0092] For all the reclamation points X i , the total earthwork volume R1 and the total stone volume R3 are:

[0093] R1=∑(V i -T i ),

[0094] R3=∑T i ;

[0095] For all excavation reclamation points X i , which can only provide the earthwork participation balance of R1, which is less than the data before correction. The present invention measures it accurately and improves the deployment accuracy.

[0096] For all the reclamation points X that are filled i , the total earthwork volume R2 and the total stone volume R4 are:

[0097] R2=∑(V i +T i );

[0098] R4=∑T i ;

[0099] The big data platform calculates R1+R2;

[0100] If R1+R2≥0, it means that there is a surplus of earthwork in multiple reclamation projects. In this case, the main amount of earthwork R1+R2 will be transported to the earthwork storage area of ​​the road network and energy projects for their use; if R1+R2<0, it means that there is a shortage of earthwork in multiple reclamation projects. In this case, the earthwork of |R1+R2|+R3 will be transferred from the earthwork storage area of ​​the road network and energy projects to the reclamation projects to achieve the balance of earthwork in the reclamation projects; the stonework of R3+R4 will be transported to the storage area of ​​the river channel and dam reinforcement projects to make full use of the stonework.

[0101] In the modified embodiment, the volume of earthwork transported from the road network and the earthwork storage area of the energy project is increased by R3, improving the allocation accuracy.

[0102] Understandably, the transportation mode can be a means of transportation, not limited to vehicles, ships, and drones.

[0103] Multiple reclamation points X i The total volume of silt accumulated on the surface of the fields after excavation or filling is R5, which is:

[0104] R5 = ∑U i ;

[0105] Multiple silt cleaning points Y j The total silt supply volume R6 is:

[0106] R6 = ∑W j ;

[0107] When R5 = R6, the big data platform uses machine learning algorithms or deep learning algorithms to minimize the transportation distance between multiple silt cleaning points and multiple reclamation points.

[0108] When R5 < R6, the thickness of the silt accumulated on the surface of the fields after excavation or filling is adjusted. Specifically:

[0109] Method 1:

[0110] Adjust according to a unified thickness Δd, satisfying the following formula:

[0111] ∑S i (d i + Δd) = R6.

[0112] Method 2:

[0113] Adjust by setting different thicknesses for different reclamation points X i Specifically:

[0114] Set different weights λ i for different reclamation points X i , satisfying the following formula:

[0115] ∑S i (d i + λ i Δd) = R6.

[0116] Optionally, ∑λ i = 1.

[0117] Optionally, the weights λ i are arranged in descending order.

[0118] Optionally, the weights λ iSort in ascending order.

[0119] When R5>R6, the thickness of the silt accumulated on the field surface after excavation or filling is adjusted, specifically:

[0120] Method 3:

[0121] Adjust according to the uniform thickness Δd to satisfy the following formula:

[0122] ∑S i (d i -Δd)=R6.

[0123] Method 4:

[0124] First, reclaim the wasteland at point X i The surface area of ​​the field after cutting or filling S i Sort in descending order;

[0125] second, depositing silt on the surface of the field in descending order from largest to smallest;

[0126] Third, the reclamation site without silt accumulation X i Total silt volume A from road network and energy project survey i Take the mud from the mine for accumulation.

[0127] Method 5:

[0128] Adjust according to the uniform thickness Δd to satisfy the following formula:

[0129] ∑S i (d i +Δd)=R6+∑A i .

[0130] Method 6:

[0131] Adjust according to the uniform thickness Δd to satisfy the following formula:

[0132] ∑S i (d i -Δd)=R6+∑A i .

[0133] Method 7:

[0134] According to different reclamation points i Set different thicknesses for adjustment, specifically:

[0135] For different reclamation points X i Set different weights λ i , satisfying the following formula:

[0136] ∑S i (d i +λi Δd)=R6+∑A i .

[0137] Method 8:

[0138] According to different reclamation points i Set different thicknesses for adjustment, specifically:

[0139] For different reclamation points X i Set different weights λ i , satisfying the following formula:

[0140] ∑S i (d i -λ i Δd)=R6+∑A i .

[0141] The present invention optimizes the allocation of earth and stone for land reclamation projects, dredging projects, river and dam reinforcement projects, and road network and energy projects through a big data platform. On the one hand, the allocation accuracy is improved; on the other hand, earth and stone are accurately distinguished, providing more accurate scheduling for the allocation of earth and stone for each project; on the third hand, the silt accumulation level of land reclamation projects is increased, thereby effectively improving the fertility of cultivated land.

[0142] my country has a vast territory with complex and diverse terrain. There are still many unusable barren areas. Through the big data platform, the earth and stone of land reclamation projects, dredging projects, river and embankment reinforcement projects, road network and energy projects are optimized and allocated, ensuring the soil ecology of land reclamation projects and conducive to crop growth. In this way, not only the cultivated land area is increased, but also the optimized allocation of earth and stone for multiple projects is achieved.

[0143] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0144] It should be noted that the serial numbers of the embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. The above are only preferred embodiments of the present invention, and the patent scope of the present invention is not limited thereto. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, and the various embodiments or schemes can be arbitrarily combined, are all included in the patent protection scope of the present invention.

Claims

1. An earthwork optimization allocation system based on big data analysis, characterized in that: It includes a big data platform, a reclamation project platform, a dredging project platform, a river channel and dam reinforcement project platform, and a road network and energy project platform; The coordinates of multiple reclamation points in the reclamation project are marked with X i , i is a positive integer; reclamation point X i The demand side quantity is V i , Reclamation Point X i The surface area of ​​the field after excavation or filling is S i , Reclamation Point X i The thickness of the silt accumulated on the surface of the field after excavation or filling is d i , Reclamation Point X i The volume of silt accumulated on the field surface after excavation or filling is U i ; The coordinates of multiple desilting points in the desilting project are marked as Y j , j is a positive integer; desilting point Y j The supply quantity is W j ; The total silt volume of the road network and energy project survey is A i ; The reclamation project platform collects and stores reclamation project data and transmits it to the big data platform; The dredging project platform collects and stores dredging project data and transmits it to the big data platform; The river channel and dam reinforcement project platform collects and stores dredging project data and transmits it to the big data platform; The road network and energy project platform collects and stores dredging project data and transmits it to the big data platform.

2. The system according to claim 1, characterized in that The big data platform conducts data communication with the reclamation project platform, the dredging project platform, the river channel and dam reinforcement project platform, and the road network and energy project platform respectively.

3. The system according to claim 1, characterized in that U i =S i d i 。 4. A dispatching method of an earthwork optimization dispatching system based on big data analysis, including the earthwork optimization dispatching system based on big data analysis according to any one of claims 1-3, comprising the following steps: The big data platform is used to analyze the multiple reclamation sites of the reclamation project i The demand side V i Summing to get ∑V i ; If ∑V i ≥0, indicating that there is earthwork surplus in multiple reclamation projects, then ∑V i Transport to the road network and energy project earthwork storage area for use by the road network and energy projects; if ∑V i <0, indicating that there is a shortage of earthwork in multiple reclamation projects, and earthwork storage areas of road network and energy projects should be transferred|∑V i |’s earthwork to the land reclamation project to achieve earthwork balance for the land reclamation project.

5. The method according to claim 4, characterized in that For multiple reclamation points X i The demand side V i Make corrections, specifically: Record each reclamation point X i The amount of stone removed during excavation or filling is T i ; If you want to reclaim wasteland X i If it is excavation, the big data platform will correct the demand volume to V i -T i And V i -T i is a positive number; If you want to reclaim wasteland X i If the demand is filled, the big data platform will correct the demand volume to V i +T i And V i +T i The value is negative; For all the reclamation points X i , the total earthwork volume R1 and the total stone volume R3 are: R1=∑(V i -T i ), R3=∑T i ; For all the reclamation points X that are filled i , the total earthwork volume R2 and the total stone volume R4 are: R2=∑(V i +T i ); R4=∑T i ; The big data platform calculates R1 + R2; If R1 + R2 ≥ 0, the main volume of soil of R1 + R2 is transported out to the earthwork storage area of the road network and energy project; if R1 + R2 < 0, |R1 + R2| + R3 of earthwork is transported from the earthwork storage area of the road network and energy project to the reclamation project to achieve the earthwork balance of the reclamation project; the stone volume of R3 + R4 is transported out to the storage area of the river channel and dam reinforcement project.

6. The method according to claim 5, characterized in that It further includes the following steps: Multiple reclamation sitesX i The total volume of silt accumulated on the field surface after excavation or filling is R5: R5=∑U i ; Multiple desilting points Y j The total sludge supply R6 is: <h2 style=";text-align:left;direction:ltr">R6=∑W<h2 style=";text-align:left;direction:ltr"> j <h2 style=";text-align:left;direction:ltr"> ; When R5 = R6, the big data platform uses machine learning algorithms or deep learning algorithms to minimize the transportation distance between multiple dredging points and multiple reclamation points.

7. The method according to claim 6, characterized in that It further includes the following steps: When R5 < R6, the thickness of the silt accumulated on the surface of the field after excavation or filling is adjusted, specifically: Method 1: Adjust it according to a uniform thickness Δd, satisfying the following formula: ∑S i (d i +Δd)=R6。 8. The method according to claim 6, characterized in that It further includes the following steps: When R5 < R6, the thickness of the silt accumulated on the surface of the field after excavation or filling is adjusted, specifically: Method 2: According to different reclamation points i Set different thicknesses for adjustment, specifically: For different reclamation points X i Set different weights λ i , satisfying the following formula: ∑S i (d i +λ i Δd)=R6。 9. The method according to claim 6, characterized in that It further includes the following steps: When R5 > R6, the thickness of the silt accumulated on the surface of the field after excavation or filling is adjusted, specifically: Method 3: Adjust it according to a uniform thickness Δd, satisfying the following formula: ∑S i (d i -Δd)=R6。 10. The method according to claim 6, characterized in that It further includes the following steps: When R5 > R6, the thickness of the silt accumulated on the surface of the field after excavation or filling is adjusted, specifically: Method 4: First, reclaim the wasteland at point X i The surface area of ​​the field after cutting or filling S i Sort in descending order; Second, the silt is accumulated on the surface of the field in descending order from largest to smallest; Third, the reclamation site without silt accumulation i Total silt volume A from road network and energy project survey i Take the silt from the mine for accumulation.

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