CN111877257A - Dam construction method based on big data processing - Google Patents
Dam construction method based on big data processing Download PDFInfo
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- CN111877257A CN111877257A CN202010570511.2A CN202010570511A CN111877257A CN 111877257 A CN111877257 A CN 111877257A CN 202010570511 A CN202010570511 A CN 202010570511A CN 111877257 A CN111877257 A CN 111877257A
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- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02B—HYDRAULIC ENGINEERING
- E02B3/00—Engineering works in connection with control or use of streams, rivers, coasts, or other marine sites; Sealings or joints for engineering works in general
- E02B3/04—Structures or apparatus for, or methods of, protecting banks, coasts, or harbours
- E02B3/10—Dams; Dykes; Sluice ways or other structures for dykes, dams, or the like
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Abstract
The invention relates to a dam construction method based on big data processing, which comprises the following steps: surveying the geological environment on site, and selecting the size of a dam and the type of materials required by construction; selecting the specified earth volume and the specified protective layer thickness according to the dam size; arranging an anti-seepage layer, geotextile and an anti-seepage protective layer; building a dam, and pouring concrete on the outer surface of the dam body after the building is finished; and maintaining the dam and backfilling earth after the maintenance is finished. According to the dam construction method, the dam construction detector is used for surveying the field environment, the temperature, the humidity, the rainfall capacity and the humidity in the environment of the construction site are detected in sequence, the correction parameters are obtained by calculating by using the parameters so as to correct the preset strength of the dam, the selected construction material can be ensured to be suitable for the specific environment, the influence of environmental factors on the dam can be effectively eliminated, the dam can stably bear the impact of water flow after being constructed, and therefore the safety of the dam is improved.
Description
Technical Field
The invention relates to the technical field of dam construction, in particular to a dam construction method based on big data processing.
Background
Hydraulic engineering is an engineering built for controlling and allocating surface water and underground water in the nature to achieve the purposes of removing harmful substances and benefiting benefits, and is also called water engineering. Through building hydraulic engineering, can control rivers, prevent flood disasters to adjust and the distribution of the water yield, in order to satisfy people's life and production to the needs of water resource.
The dam construction has many technical and construction difficulties, the dam construction at present adopts integrated construction, the dam is constructed at one time, the construction difficulty is large, the time consumption is long, the dam produced by the integrated construction is likely to collapse integrally in flood, the flood control and earthquake resistance safety performance is poor, and a large amount of capital loss can be caused.
In the prior art, when the dam is actually built, due to the fact that the environments of building positions are different, even if the same building materials are used for building, the compressive strength of the built dam is different, when the materials are selected, a large number of parameters are required to be detected as reference, the built dam cannot bear the specified strength, and finally the dam is collapsed, and safety is low.
Disclosure of Invention
Therefore, the invention provides a dam construction method based on big data processing, which is used for solving the problem of low dam safety caused by the fact that proper building materials cannot be selected according to the specific environment of a construction point in the prior art.
In order to achieve the above object, the present invention provides a dam construction method based on big data processing, comprising:
step 1: surveying the geological environment of a site by using a dam construction detector, retrieving corresponding data from a cloud end by using the dam construction detector, and selecting the construction size of the dam, and the types of masonry, masonry slurry components and external pouring cement components required by construction after calculation;
step 2: selecting a specified cofferdam size according to a preset dam size, selecting a specified earth volume and a specified protective layer thickness according to the preset dam size, and performing earth excavation after the completion of the earth volume determination;
and step 3: after the earthwork excavation is finished, cleaning the ground by constructors, paving an impermeable layer on the cleaned ground by the constructors after the cleaning is finished, sewing geotextile on the surface of the impermeable layer, and paving an impermeable protective layer after the sewing is finished;
and 4, step 4: a constructor builds a dam by using the building mortar and the qualified building stones, concreting the outer surface of the dam body after the building is finished, and curing the concrete on the outer surface of the dam body after the concreting is finished;
and 5: and after the maintenance is finished, the construction of the stilling pool, the water retaining wall and the water intercepting wall is sequentially carried out on the periphery of the dam body, and earth backfilling is carried out after the construction is finished to finish the construction of the dam.
Further, the dam construction detector detects environmental parameters before construction, retrieves data through a cloud database according to the geographical position of the construction after detection is completed, obtains average environmental parameters of a construction area in the construction period according to the detection data and retrieval information aiming at the geographical position, and establishes an average construction environment matrix E0 and an average river matrix group S0 according to the average environmental parameters; for the average construction environment matrix E0, E0(t, s, P, M), where t is the average temperature of the construction environment during the construction period, s is the average humidity of the construction environment during the construction period, P is the average rainfall of the construction environment during the construction period, and M is the average soil compactness in the construction environment during the construction period; for the average river matrix set S0, S0(L, D, V, Q), where L is the average width of the river, D is the average bed depth of the river, V is the average water flow rate of the river, and Q is the average water flow rate of the river; when the dam construction detector establishes the average environmental parameter matrix, the required masonry strength C can be calculated according to the average environmental parameters,
wherein alpha is a correction coefficient, and alpha is a correction coefficient,
the dam construction detector is also pre-stored with a preset compressive strength matrix C0(C1, C2, C3 and C4) and a preset dam material matrix group K (K1, K2, K3 and K4); wherein, C1 is a first preset compressive strength, C2 is a second preset compressive strength, C3 is a third preset compressive strength, C4 is a fourth preset compressive strength, and the numerical values of the preset compressive strengths are gradually increased in sequence; k1 is a first preset dam material matrix, K2 is a second preset dam material matrix, K3 is a third preset dam material matrix, K4 is a fourth preset dam material matrix, and the compressive strengths of the materials in the preset dam material matrices are sequentially increased; for the ith preset dam material matrix Ki, i is 1, 2, 3, 4, Ki (Ki1, Ki2, Ki3), wherein Ki1 is ith preset masonry stone, Ki2 is ith preset masonry mortar, and Ki3 is ith preset concrete;
when the dam construction detector calculates C, the dam construction detector can sequentially compare the values in the C and C0 matrixes:
when C is less than or equal to C1, the dam construction detector selects the material in the K1 matrix as the dam construction material;
when C is more than C1 and less than or equal to C2, the dam construction detector selects the material in the K2 matrix as a dam construction material;
when C is more than C2 and less than or equal to C3, the dam construction detector selects the material in the K3 matrix as a dam construction material;
and when the C is more than C3 and less than or equal to C4, the dam construction detector selects the material in the K4 matrix as the dam construction material.
Further, the dam construction detector is also provided with preset river flow Q0(Q1, Q2 and Q3) and a preset dam bottom thickness T0(T1, T2 and T3); wherein Q1 is a first preset river flow, Q2 is a second preset river flow, Q3 is a third preset river flow, and the numerical values of the preset flows are gradually increased in sequence; t1 is a first preset dam bottom thickness, T2 is a second preset dam bottom thickness, T3 is a third preset dam bottom thickness, and the thickness values of the dam bottom thicknesses are gradually increased in sequence; when the dam construction detector detects the average water flow Q of the river, the values of Q and Q0 are compared:
when Q is less than or equal to Q1, the dam construction detector takes T1 as the preset bottom thickness T of the dam;
when Q is more than Q1 and less than or equal to Q2, the dam construction detector takes T2 as the preset bottom thickness T of the dam;
when Q is more than Q2 and less than or equal to Q3, the dam construction detector takes T3 as the preset bottom thickness T of the dam;
after determining the bottom thickness T of the dam, the dam construction detector selects a specified T/H ratio from a cloud database so as to determine the preset height H of the dam; after the determination is completed, the dam construction detector establishes a preset dam size matrix B (T, H, L), where L is the river width.
Further, when the preset dam height H is smaller than the riverbed depth D, the dam construction detector can readjust the specific value of H and readjust the dam bottom thickness value T according to the adjusted H value and the adjusted T/H ratio.
Further, a preset earthwork matrix group F (F1, F2, F3, F4) is further arranged in the dam construction detector, wherein F1 is a first preset earthwork matrix, F2 is a second preset earthwork matrix, F3 is a third preset earthwork matrix, F4 is a fourth preset earthwork matrix, and for an ith preset earthwork matrix Fi, i is 1, 2, 3, 4, Fi (Fi1, Fi2), wherein Fi1 is an ith preset earthwork amount, and Fi2 is an ith preset protection thickness;
the dam construction detector is also provided with a preset dam volume matrix Vb0(Vb1, Vb2, Vb3 and Vb4), wherein Vb1 is a first preset dam volume, Vb2 is a second preset dam volume, Vb3 is a third preset dam volume, Vb4 is a fourth preset dam volume, and the volume values of the preset dams are gradually increased in sequence;
when the dam construction detector establishes a preset dam size matrix B (T, H, L), the dam construction detector can calculate the volume Vb of the dam according to the numerical values in the matrix B and compares the Vb with various numerical values in Vb0 after the calculation is finished:
when Vb is not more than Vb1, the dam construction detector selects parameters in the F1 matrix to carry out earth excavation;
when Vb1 is more than Vb and less than or equal to Vb2, the dam construction detector selects parameters in the F2 matrix to carry out earth excavation;
when Vb2 is more than Vb and less than or equal to Vb3, the dam construction detector selects parameters in the F3 matrix to carry out earth excavation;
when Vb3 is more than Vb and less than or equal to Vb4, the dam construction detector selects parameters in the F4 matrix to carry out earth excavation;
when carrying out the earthwork excavation to appointed region, use large-scale excavating equipment to excavate appointed bottom surface earlier, when actual excavation degree of depth excavation reaches preset height, reserve the protective layer of fi2 thickness and adopt artifical excavation.
Furthermore, a preset backfill matrix group Ht (Ht1, Ht2, Ht3 and Ht4) is further arranged in the dam construction detector, wherein Ht1 is a first preset backfill matrix, Ht2 is a second preset backfill matrix, Ht3 is a third preset backfill matrix, and Ht4 is a fourth preset backfill matrix; for the ith preset backfill matrix Hti, Hti (hti1, hti2), where hti1 is the ith monolayer backfill thickness and hti2 is the ith monolayer backfill solidity; when dam maintenance is completed and backfilling is started:
when the dam construction detector is used for earth excavation, parameters in an F1 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht1 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F2 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht2 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F3 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht3 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F4 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht4 are selected for the dam construction detector.
Further, dam construction detector is external to have the density detector, when backfilling the earthwork, dam construction detector can predetermine backfill matrix Hti according to selected ith and carry ith individual layer backfill density hti2 in the matrix to the density detector, accomplish the back compaction to individual layer backfill layer, the density detector can detect the density of back packing layer after the tamping: when the actual compactness is the same as the preset single-layer backfill compactness hti2, the dam construction detector sends a tamping completion signal, and constructors begin to backfill the next layer; when the actual compactness is smaller than hti2, the dam construction detector sends out a notice that the tamping is not qualified, and the constructor tamps the backfill layer for the second time until the actual compactness is equal to hti 2.
Compared with the prior art, the dam construction detector has the advantages that the dam construction detector is used for surveying the site environment, the temperature, the humidity, the rainfall and the humidity in the environment of the construction site are sequentially detected, the parameters are used for calculating to obtain correction parameters so as to correct the preset strength of the dam, the selected construction material can be ensured to be suitable for the specific environment, the influence of environmental factors on the dam can be effectively eliminated, the dam can stably bear the impact of water flow after being constructed, and the safety of the dam is improved.
Furthermore, the dam construction detector is searched by using the cloud database, after the search, the dam construction detector can obtain the environmental parameters of each time node of the construction area in a specified time interval, the average value of each environmental parameter can be obtained by counting the parameters, and the average parameter is selected when the preset intensity is corrected, so that the dam can adapt to the environmental change in a specified time period after being constructed, and the safety of the dam is further improved.
Furthermore, the dam construction detector can determine the bottom thickness of the dam according to the water flow in the river and determine the height of the dam according to the T/H ratio, so that the dam body can effectively bear the impact force brought by the river, and the safety of the dam is further improved.
Particularly, the dam construction detector can also adjust the height of the dam in real time according to the depth D of the river bed, and meanwhile, the bottom thickness of the dam is adjusted according to the adjusted height and the T/H ratio, so that the dam achieves a due working structure while the strength of the dam is ensured.
Furthermore, the dam construction detector can select corresponding earth volume and protective layer size according to the dam size, and the dam can be more stable after being built by using the earth volume corresponding to the dam size, so that the dam has higher impact resistance, and the safety of the dam is further improved.
Furthermore, a preset backfill matrix group is further arranged in the dam construction detector, corresponding single-layer backfill thickness and single-layer backfill compactness are arranged in each backfill matrix group, and after the dam is built, when backfilling is carried out, constructors can enable backfilled earthwork to fix the dam with the specified compactness according to the specified single-layer backfill thickness and the specified single-layer backfill compactness, so that the compressive strength of the dam is increased, and the safety of the dam is further improved.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
The dam construction method based on big data processing comprises the following steps:
step 1: surveying the geological environment of a site by using a dam construction detector, retrieving corresponding data from a cloud end by using the dam construction detector, and selecting the construction size of the dam, and the types of masonry, masonry slurry components and external pouring cement components required by construction after calculation;
step 2: selecting a specified cofferdam size according to a preset dam size, selecting a specified earth volume and a specified protective layer thickness according to the preset dam size, and performing earth excavation after the completion of the earth volume determination;
and step 3: after the earthwork excavation is finished, cleaning the ground by constructors, paving an impermeable layer on the cleaned ground by the constructors after the cleaning is finished, sewing geotextile on the surface of the impermeable layer, and paving an impermeable protective layer after the sewing is finished;
and 4, step 4: a constructor builds a dam by using the building mortar and the qualified building stones, concreting the outer surface of the dam body after the building is finished, and curing the concrete on the outer surface of the dam body after the concreting is finished;
and 5: and after the maintenance is finished, the construction of the stilling pool, the water retaining wall and the water intercepting wall is sequentially carried out on the periphery of the dam body, and earth backfilling is carried out after the construction is finished to finish the construction of the dam.
Specifically, the dam construction detector detects environmental parameters before construction, retrieves data through a cloud database according to the geographical position of the construction after detection is completed, obtains average environmental parameters of a construction area in a construction period according to the detection data and retrieval information aiming at the geographical position, and establishes an average construction environment matrix E0 and an average river matrix group S0 according to the average environmental parameters; for the average construction environment matrix E0, E0(t, s, P, M), where t is the average temperature of the construction environment during the construction period, s is the average humidity of the construction environment during the construction period, P is the average rainfall of the construction environment during the construction period, and M is the average soil compactness in the construction environment during the construction period; for the average river matrix set S0, S0(L, D, V, Q), where L is the average width of the river, D is the average bed depth of the river, V is the average water flow rate of the river, and Q is the average water flow rate of the river; when the dam construction detector establishes the average environmental parameter matrix, the required masonry strength C can be calculated according to the average environmental parameters,
wherein alpha is a correction coefficient, and alpha is a correction coefficient,
the dam construction detector is also pre-stored with a preset compressive strength matrix C0(C1, C2, C3 and C4) and a preset dam material matrix group K (K1, K2, K3 and K4); wherein, C1 is a first preset compressive strength, C2 is a second preset compressive strength, C3 is a third preset compressive strength, C4 is a fourth preset compressive strength, and the numerical values of the preset compressive strengths are gradually increased in sequence; k1 is a first preset dam material matrix, K2 is a second preset dam material matrix, K3 is a third preset dam material matrix, K4 is a fourth preset dam material matrix, and the compressive strengths of the materials in the preset dam material matrices are sequentially increased; for the ith preset dam material matrix Ki, i is 1, 2, 3, 4, Ki (Ki1, Ki2, Ki3), wherein Ki1 is ith preset masonry stone, Ki2 is ith preset masonry mortar, and Ki3 is ith preset concrete.
When the dam construction detector calculates C, the dam construction detector can sequentially compare the values in the C and C0 matrixes:
when C is less than or equal to C1, the dam construction detector selects the material in the K1 matrix as the dam construction material;
when C is more than C1 and less than or equal to C2, the dam construction detector selects the material in the K2 matrix as a dam construction material;
when C is more than C2 and less than or equal to C3, the dam construction detector selects the material in the K3 matrix as a dam construction material;
and when the C is more than C3 and less than or equal to C4, the dam construction detector selects the material in the K4 matrix as the dam construction material.
Specifically, the dam construction detector is also provided with preset river flow Q0(Q1, Q2 and Q3) and preset dam bottom thickness T0(T1, T2 and T3); wherein Q1 is a first preset river flow, Q2 is a second preset river flow, Q3 is a third preset river flow, and the numerical values of the preset flows are gradually increased in sequence; t1 is a first preset dam bottom thickness, T2 is a second preset dam bottom thickness, T3 is a third preset dam bottom thickness, and the thickness values of the dam bottom thicknesses are gradually increased in sequence; when the dam construction detector detects the average water flow Q of the river, the values of Q and Q0 are compared:
when Q is less than or equal to Q1, the dam construction detector takes T1 as the preset bottom thickness T of the dam;
when Q is more than Q1 and less than or equal to Q2, the dam construction detector takes T2 as the preset bottom thickness T of the dam;
and when Q is more than Q2 and less than or equal to Q3, the dam construction detector takes T3 as the preset bottom thickness T of the dam.
After determining the bottom thickness T of the dam, the dam construction detector selects a specified T/H ratio from a cloud database so as to determine the preset height H of the dam; after the determination is completed, the dam construction detector establishes a preset dam size matrix B (T, H, L), where L is the river width.
Specifically, when the preset dam height H is smaller than the bed depth D, the dam construction detector readjusts the specific value of H and readjusts the dam bottom thickness value T according to the adjusted H value and T/H ratio.
Specifically, still be equipped with in the dam construction detector and preset earthwork matrix group F (F1, F2, F3, F4), wherein, F1 is first preset earthwork matrix, and F2 is second preset earthwork matrix, and F3 is the third preset earthwork matrix, and F4 is the fourth preset earthwork matrix, and to ith preset earthwork matrix Fi, i ═ 1, 2, 3, 4, Fi (Fi1, Fi2), wherein Fi1 is the ith preset earthwork volume, and Fi2 is the ith preset protection thickness.
The dam construction detector is further provided with a preset dam volume matrix Vb0(Vb1, Vb2, Vb3 and Vb4), wherein Vb1 is a first preset dam volume, Vb2 is a second preset dam volume, Vb3 is a third preset dam volume, Vb4 is a fourth preset dam volume, and the volume values of the preset dams are gradually increased in sequence.
When the dam construction detector establishes a preset dam size matrix B (T, H, L), the dam construction detector can calculate the volume Vb of the dam according to the numerical values in the matrix B and compares the Vb with various numerical values in Vb0 after the calculation is finished:
when Vb is not more than Vb1, the dam construction detector selects parameters in the F1 matrix to carry out earth excavation;
when Vb1 is more than Vb and less than or equal to Vb2, the dam construction detector selects parameters in the F2 matrix to carry out earth excavation;
when Vb2 is more than Vb and less than or equal to Vb3, the dam construction detector selects parameters in the F3 matrix to carry out earth excavation;
and when Vb3 is more than Vb and less than or equal to Vb4, the dam construction detector selects parameters in the F4 matrix to carry out earth excavation.
When carrying out the earthwork excavation to appointed region, use large-scale excavating equipment to excavate appointed bottom surface earlier, when actual excavation degree of depth excavation reaches preset height, reserve the protective layer of fi2 thickness and adopt artifical excavation.
Specifically, a preset backfill matrix group Ht (Ht1, Ht2, Ht3, Ht4) is further arranged in the dam construction detector, wherein Ht1 is a first preset backfill matrix, Ht2 is a second preset backfill matrix, Ht3 is a third preset backfill matrix, and Ht4 is a fourth preset backfill matrix; for the ith preset backfill matrix Hti, Hti (hti1, hti2), where hti1 is the ith monolayer backfill thickness and hti2 is the ith monolayer backfill solidity; when dam maintenance is completed and backfilling is started:
when the dam construction detector is used for earth excavation, parameters in an F1 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht1 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F2 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht2 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F3 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht3 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F4 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht4 are selected for the dam construction detector.
Specifically speaking, dam construction detector is external to have the density detector, when backfilling the earthwork, dam construction detector can predetermine backfill matrix Hti according to selected ith and carry the ith individual layer backfill density hti2 in the matrix to the density detector, accomplish the back compaction to the individual layer backfill layer, the density detector can detect the density of the back packing layer after the tamping: when the actual compactness is the same as the preset single-layer backfill compactness hti2, the dam construction detector sends a tamping completion signal, and constructors begin to backfill the next layer; when the actual compactness is smaller than hti2, the dam construction detector sends out a notice that the tamping is not qualified, and the constructor tamps the backfill layer for the second time until the actual compactness is equal to hti 2.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A dam construction method based on big data processing is characterized by comprising the following steps:
step 1: surveying the geological environment of a site by using a dam construction detector, retrieving data from a cloud end by using the dam construction detector, and selecting the construction size of the dam at the current time and the types of masonry stones, the composition of masonry slurry and the composition of external pouring cement required by construction through calculation;
step 2: selecting a specified cofferdam size according to a preset dam size, selecting a specified earth volume and a specified protective layer thickness according to the preset dam size, and performing earth excavation after the completion of the earth volume determination;
and step 3: after the earthwork excavation is finished, cleaning the ground by constructors, paving an impermeable layer on the cleaned ground by the constructors after the cleaning is finished, sewing geotextile on the surface of the impermeable layer, and paving an impermeable protective layer after the sewing is finished;
and 4, step 4: a constructor builds a dam by using the building mortar and the qualified building stones, concreting the outer surface of the dam body after the building is finished, and curing the concrete on the outer surface of the dam body after the concreting is finished;
and 5: and after the maintenance is finished, the construction of the stilling pool, the water retaining wall and the water intercepting wall is sequentially carried out on the periphery of the dam body, and earth backfilling is carried out after the construction is finished to finish the construction of the dam.
2. Dam construction based on big data processing according to claim 1The method is characterized in that the dam construction detector detects environmental parameters before construction, retrieves data through a cloud database according to the geographical position of the construction after detection is completed, obtains average environmental parameters of a construction area in a construction period according to the detection data and retrieval information aiming at the geographical position, and establishes an average construction environment matrix E0 and an average river matrix group S0 according to the average environmental parameters; for the average construction environment matrix E0, E0(t, s, P, M), where t is the average temperature of the construction environment during the construction period, s is the average humidity of the construction environment during the construction period, P is the average rainfall of the construction environment during the construction period, and M is the average soil compactness in the construction environment during the construction period; for the average river matrix set S0, S0(L, D, V, Q), where L is the average width of the river, D is the average bed depth of the river, V is the average water flow rate of the river, and Q is the average water flow rate of the river; when the dam construction detector establishes the average environmental parameter matrix, the required masonry strength C can be calculated according to the average environmental parameters,
wherein alpha is a correction coefficient, and alpha is a correction coefficient,
the dam construction detector is also pre-stored with a preset compressive strength matrix C0(C1, C2, C3 and C4) and a preset dam material matrix group K (K1, K2, K3 and K4); wherein, C1 is a first preset compressive strength, C2 is a second preset compressive strength, C3 is a third preset compressive strength, C4 is a fourth preset compressive strength, and the numerical values of the preset compressive strengths are gradually increased in sequence; k1 is a first preset dam material matrix, K2 is a second preset dam material matrix, K3 is a third preset dam material matrix, K4 is a fourth preset dam material matrix, and the compressive strengths of the materials in the preset dam material matrices are sequentially increased; for the ith preset dam material matrix Ki, i is 1, 2, 3, 4, Ki (Ki1, Ki2, Ki3), wherein Ki1 is ith preset masonry stone, Ki2 is ith preset masonry mortar, and Ki3 is ith preset concrete;
when the dam construction detector calculates C, the dam construction detector can sequentially compare the values in the C and C0 matrixes:
when C is less than or equal to C1, the dam construction detector selects the material in the K1 matrix as the dam construction material;
when C is more than C1 and less than or equal to C2, the dam construction detector selects the material in the K2 matrix as a dam construction material;
when C is more than C2 and less than or equal to C3, the dam construction detector selects the material in the K3 matrix as a dam construction material;
and when the C is more than C3 and less than or equal to C4, the dam construction detector selects the material in the K4 matrix as the dam construction material.
3. The dam construction method based on big data processing according to claim 2, wherein the dam construction detector is further provided therein with a preset river flow rate Q0(Q1, Q2, Q3) and a preset dam bottom thickness T0(T1, T2, T3); wherein Q1 is a first preset river flow, Q2 is a second preset river flow, Q3 is a third preset river flow, and the numerical values of the preset flows are gradually increased in sequence; t1 is a first preset dam bottom thickness, T2 is a second preset dam bottom thickness, T3 is a third preset dam bottom thickness, and the thickness values of the dam bottom thicknesses are gradually increased in sequence; when the dam construction detector detects the average water flow Q of the river, the values of Q and Q0 are compared:
when Q is less than or equal to Q1, the dam construction detector takes T1 as the preset bottom thickness T of the dam;
when Q is more than Q1 and less than or equal to Q2, the dam construction detector takes T2 as the preset bottom thickness T of the dam;
when Q is more than Q2 and less than or equal to Q3, the dam construction detector takes T3 as the preset bottom thickness T of the dam;
after determining the bottom thickness T of the dam, the dam construction detector selects a specified T/H ratio from a cloud database so as to determine the preset height H of the dam; after the determination is completed, the dam construction detector establishes a preset dam size matrix B (T, H, L), where L is the river width.
4. The dam construction method based on big data processing as claimed in claim 3, wherein when the preset dam height H is less than the riverbed depth D, the dam construction detector readjusts the specific value of H and readjusts the dam bottom thickness value T according to the adjusted H value and T/H ratio.
5. A dam construction method based on big data processing as claimed in claim 3, wherein the dam construction detector is further provided with a preset earthwork matrix group F (F1, F2, F3, F4), wherein F1 is a first preset earthwork matrix, F2 is a second preset earthwork matrix, F3 is a third preset earthwork matrix, F4 is a fourth preset earthwork matrix, for the ith preset earthwork matrix Fi, i ═ 1, 2, 3, 4, Fi (Fi1, Fi2), wherein Fi1 is the ith preset earthwork amount, and Fi2 is the ith preset protection thickness;
the dam construction detector is also provided with a preset dam volume matrix Vb0(Vb1, Vb2, Vb3 and Vb4), wherein Vb1 is a first preset dam volume, Vb2 is a second preset dam volume, Vb3 is a third preset dam volume, Vb4 is a fourth preset dam volume, and the volume values of the preset dams are gradually increased in sequence;
when the dam construction detector establishes a preset dam size matrix B (T, H, L), the dam construction detector can calculate the volume Vb of the dam according to the numerical values in the matrix B and compares the Vb with various numerical values in Vb0 after the calculation is finished:
when Vb is not more than Vb1, the dam construction detector selects parameters in the F1 matrix to carry out earth excavation;
when Vb1 is more than Vb and less than or equal to Vb2, the dam construction detector selects parameters in the F2 matrix to carry out earth excavation;
when Vb2 is more than Vb and less than or equal to Vb3, the dam construction detector selects parameters in the F3 matrix to carry out earth excavation;
when Vb3 is more than Vb and less than or equal to Vb4, the dam construction detector selects parameters in the F4 matrix to carry out earth excavation;
when carrying out the earthwork excavation to appointed region, use large-scale excavating equipment to excavate appointed bottom surface earlier, when actual excavation degree of depth excavation reaches preset height, reserve the protective layer of fi2 thickness and adopt artifical excavation.
6. The dam construction method based on big data processing according to claim 5, wherein a preset backfill matrix set Ht (Ht1, Ht2, Ht3, Ht4) is further provided in the dam construction detector, wherein Ht1 is a first preset backfill matrix, Ht2 is a second preset backfill matrix, Ht3 is a third preset backfill matrix, and Ht4 is a fourth preset backfill matrix; for the ith preset backfill matrix Hti, Hti (hti1, hti2), where hti1 is the ith monolayer backfill thickness and hti2 is the ith monolayer backfill solidity; when dam maintenance is completed and backfilling is started:
when the dam construction detector is used for earth excavation, parameters in an F1 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht1 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F2 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht2 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F3 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht3 are selected for the dam construction detector to be backfilled;
when the dam construction detector is used for earth excavation, parameters in an F4 matrix are selected, and when the dam construction detector is backfilled, the parameters in the Ht4 are selected for the dam construction detector.
7. The dam construction method based on big data processing according to claim 6, wherein the dam construction detector is externally connected with a compactness detector, when backfilling earth, the dam construction detector can convey the i single-layer backfill compactness hti2 in the matrix to the compactness detector according to the selected i preset backfill matrix Hti, and after the single-layer backfill layer is tamped, the compactness detector can detect the compactness of the tamped backfill layer: when the actual compactness is the same as the preset single-layer backfill compactness hti2, the dam construction detector sends a tamping completion signal, and constructors begin to backfill the next layer; when the actual compactness is smaller than hti2, the dam construction detector sends out a notice that the tamping is not qualified, and the constructor tamps the backfill layer for the second time until the actual compactness is equal to hti 2.
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