CN111561008A - Method for evaluating and assisting decision-making of dredging process at ship end of drag suction dredger - Google Patents

Method for evaluating and assisting decision-making of dredging process at ship end of drag suction dredger Download PDF

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CN111561008A
CN111561008A CN202010438730.5A CN202010438730A CN111561008A CN 111561008 A CN111561008 A CN 111561008A CN 202010438730 A CN202010438730 A CN 202010438730A CN 111561008 A CN111561008 A CN 111561008A
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overflow
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cabin
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distribution range
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CN111561008B (en
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丁志兵
吴晨
马育祎
许青
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Zhenjiang Yihua System Integration Co ltd
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    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F5/00—Dredgers or soil-shifting machines for special purposes
    • E02F5/28—Dredgers or soil-shifting machines for special purposes for cleaning watercourses or other ways
    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F3/00—Dredgers; Soil-shifting machines
    • E02F3/04—Dredgers; Soil-shifting machines mechanically-driven
    • E02F3/88—Dredgers; Soil-shifting machines mechanically-driven with arrangements acting by a sucking or forcing effect, e.g. suction dredgers
    • E02F3/8833—Floating installations
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    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
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    • E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
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Abstract

The invention relates to a method for evaluating and assisting decision-making of a dredging process at a ship end of a drag suction dredger, which comprises the following steps: 1) collecting data in real time; 2) identifying the characteristics of the operation stage; 3) extracting historical evaluation information through an expert database, and updating the expert database according to the corresponding characteristic parameters identified at this time; 4) sequentially carrying out loading performance evaluation and overflow performance evaluation on the corresponding characteristic parameters identified at this time; 5) extracting decision information according to the evaluation result; 6) outputting an auxiliary decision; the real-time dredging advancing process of the trailing suction hopper dredger is effectively intervened and decision-making output according to the fact that the corresponding parameters of the trailing suction hopper dredger are evaluated in real time in the dredging advancing process of the trailing suction hopper dredger and the deviation of the distribution range of the sequencing result in the historical data is compared with the preset range, and real-time and appropriate evaluation and corresponding regulation and control can be conducted according to different slurry environments and advancing working conditions in the dredging advancing process of the trailing suction hopper dredger.

Description

Method for evaluating and assisting decision-making of dredging process at ship end of drag suction dredger
Technical Field
The invention relates to the technical field of ship dredging processes, in particular to a dredging process evaluation and decision-making assisting method at a drag suction dredger side.
Background
The trailing suction dredger is one of suction type. The mud is sucked by the drag heads arranged on two sides or the tail of the ship body, and the ship operates in a mode of sucking mud and sailing. In the advancing process of the trailing suction hopper dredger, the dredging working condition of the trailing suction hopper dredger is complex due to complex operating environment, uneven slurry distribution and the like, so that the dredging working condition of the trailing suction hopper dredger needs to be evaluated in real time and correspondingly decided and output to ensure real-time work adjustment and stable working condition of the trailing suction hopper dredger.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a method for evaluating and assisting decision-making of a dredging process at the ship end of a trailing suction dredger.
The technical scheme of the invention is as follows:
the dredging process evaluation and decision-making assisting method at the ship end of the drag suction dredger is characterized in that: the method comprises the following steps:
1) collecting related data in the dredging process at the ship end of the trailing suction dredger in real time;
2) effectively identifying corresponding characteristic parameters in the related data in the corresponding operation stage;
3) extracting historical evaluation information through an expert database, and updating the expert database according to the corresponding characteristic parameters identified at this time;
4) sequentially carrying out loading performance evaluation and overflow performance evaluation on the corresponding characteristic parameters identified at this time;
5) extracting decision information according to the evaluation result;
6) and (5) outputting an auxiliary decision.
Further, in the historical evaluation information of the specialist base in the step 2), the first 20 pre-rankings are respectively performed on the loading efficiency historical data of the loading stage of the corresponding characteristic parameter of each ship, and the first 20 pre-rankings are performed on the comprehensive evaluation value historical data of the overflow stage.
Further, after each evaluation, the expert database historical evaluation information respectively reorders the first 20 of cabin loading efficiency historical data of the corresponding characteristic parameters of each ship in the cabin loading stage, and reorders the first 20 of comprehensive evaluation value historical data in the overflow stage.
Further, when the deviation between the distribution range of the evaluation result and the distribution range of the sorting result in the historical data is within a preset range, providing auxiliary decision information through historical experience data; and when the deviation between the distribution range of the evaluation result and the distribution range of the sequencing result in the historical data exceeds a preset range, providing auxiliary decision information by combining historical experience data and manual real-time decision.
Further, the items of the tank loading and overflow performance evaluation in the step 4) at least include a rake head angle green band, a rake head water guide window opening green band, a ground speed green band, a mud pump rotating speed green band, a high-pressure flushing pump rotating speed green band, an average tank inlet concentration green band and an average tank inlet flow speed green band.
Further, the method for evaluating the loading performance of the corresponding characteristic parameters in the step 4) comprises the following steps:
the historical evaluation method of the green band of the rake head angle is to find the distribution range of the rake head angle of the first 20 ships with the largest loading efficiency;
the historical evaluation method of the opening degree green band of the drag head water diversion window is to find the opening condition and the distribution range of the drag head water diversion window of the first 20 ships with the largest loading efficiency.
The historical evaluation method of the green color band of the speed over ground is to find the distribution range of the speed over ground of the first 20 ship times with the maximum loading efficiency;
the historical evaluation method of the mud pump rotating speed green band is to find the distribution range of the mud pump rotating speed of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the average cabin entering concentration green color band is to find the distribution range of the average cabin entering concentration of the first 20 ship times with the maximum cabin loading efficiency;
the historical evaluation method of the average cabin entering flow speed green band is to find the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum cabin loading efficiency; and wherein the one or more of the one,
ηloading compartment＝mLoading compartment/tLoading compartment； (1)
ηLoading compartmentThe loading efficiency of the loading stage is shown;
mloading compartmentThe earth volume for loading;
tloading compartmentIs the loading time.
Further, the method for evaluating the overflow performance of the corresponding characteristic parameter in the step 4) comprises:
the optimal evaluation method of the drag head angle green band is to search the distribution range of the drag head angle of the first 20 ships with the maximum comprehensive evaluation value;
the optimized evaluation method of the opening degree green band of the drag head water guide window is to search the opening condition and the distribution range of the drag head water guide window of the first 20 ships with the maximum comprehensive evaluation value;
the optimization evaluation method of the green color band of the speed of the ground is to search the distribution range of the speed of the ground of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the mud pump rotating speed green band is to search the distribution range of the mud pump rotating speed of the first 20 ship times with the maximum comprehensive evaluation value;
the method for the optimized evaluation of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the average entry concentration green band is to search the distribution range of the average entry concentration of the first 20 ship times with the maximum comprehensive evaluation value;
the optimization evaluation method of the average cabin entering flow speed green band is to search the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum comprehensive evaluation value;
further, the air conditioner is provided with a fan,
P＝a1ηt+a2s+a3m； (2)
p is a comprehensive evaluation value;
a1, a2 and a3 are respectively a first weight, a second weight and a third weight;
ηtoptimizing the value of the loading efficiency of the overflow stage;
s is sand storage rate;
m is the dry soil ton mass ratio; wherein the content of the first and second substances,
ηt＝(ηoverflow-ηOverflow min)/(ηOverflow max-ηOverflow max) (3)
ηOverflowThe efficiency of loading the tank for the overflow stage;
ηoverflow minThe minimum value of the loading efficiency of the overflow stage is obtained;
ηoverflow maxThe maximum value of the loading efficiency of the overflow stage is obtained;
ηoverflow＝(mOverflow t-mOverflow 0)/tOverflow； (4)
mOverflow tThe earth volume is the overflow end;
moverflow 0Start the earth volume for overflow;
toverflowIs the overflow time;
s＝1－roverflow/rLoading compartment(5)
rOverflowThe overflow earthwork rate;
rloading compartmentThe loading earthwork rate is taken as the loading earthwork rate;
roverflow＝VOverflow×(ρOverflow－ρWater (W))/(ρSaturated slurry－ρWater (W))/tOverflow； (6)
VOverflowIs the total volume of the overflow;
Voverflow＝VEnter the cabin–VEnd up； (7)
VOverflowThe total volume of the entering cabin is;
Vend upThe cabin capacity at the end;
ρoverflowIs the overflow density;
ρwater (W)Is the density of water;
ρsaturated slurryIs the density of the saturated mud;
ρoverflow＝(mEnter the cabin－mEnd up+mStart of)/(VEnter the cabin－VEnd up+VStart of) (8)
mEnter the cabinThe total mass of the entering cabin is;
mend upIs the end load mass;
mstart ofIs the initial loading mass;
Venter the cabinThe total volume of the entering cabin is;
Vend upIs the cabin capacity at the end;
Vstart ofIs the starting cabin capacity;
Figure BDA0002502256550000051
tstart ofIs the loading starting time;
tend upIs the loading end time;
uleft side ofIs the left flow rate;
ρleft side ofLeft density;
uright sideIs the right flow;
ρright sideRight density;
Figure BDA0002502256550000061
rloading compartment＝(mEarthwork t－mEarthwork 0)/tLoading compartment； (11)
mEarthwork tThe current earthwork;
mearthwork 0Is the earthwork when the loading is started;
m＝mearthworkρSaturated slurry/mLoading(12)
mEarthworkThe amount of earth is shown as the volume of earth;
mloadingIs the loading mass.
Further, the higher the comprehensive evaluation value is, the better the dredging process performance at the ship end of the trailing suction dredge is determined to be; the lower the comprehensive evaluation value is, the worse the dredging process performance at the ship end of the drag suction dredger is considered.
Furthermore, the first weight, the second weight and the third weight are preset according to the performance index of the trailing suction hopper dredger respectively.
Compared with the prior art, the invention has the following beneficial effects:
1) the real-time dredging advancing process of the trailing suction hopper dredger is effectively intervened and decision-making output according to the real-time evaluation of the corresponding parameters of the trailing suction hopper dredger in the dredging advancing process of the trailing suction hopper dredger and the comparison between the distribution range of the current evaluation result and the distribution range of the sequencing result in the historical data and the preset range, real-time and proper evaluation and corresponding regulation and control can be carried out according to different slurry environments and advancing working conditions in the dredging advancing process of the trailing suction hopper dredger, and therefore the stability and effectiveness of the dredging work of the trailing suction hopper dredger are guaranteed.
Drawings
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and will therefore make the scope of the invention more clearly and clearly defined.
Fig. 1 shows a method for evaluating and assisting decision-making of the dredging process at the ship end of the drag suction dredger provided by the invention.
The specific technical scheme is as follows:
a method for evaluating and assisting in decision-making of a dredging process at the ship end of a drag suction dredger comprises the following steps:
1) collecting related data in the dredging process at the ship end of the trailing suction dredger in real time; so as to ensure that the real-time data can meet the real-time working condition of the current trailing suction hopper dredger;
2) effectively identifying corresponding characteristic parameters in the related data in the corresponding operation stage; therefore, effective data are extracted for subsequent real-time evaluation, and other invalid data are collected as reference data for later use;
3) extracting historical evaluation information through an expert database, and updating the expert database according to the corresponding characteristic parameters identified at this time; therefore, on the premise that the expert database can provide historical experience data, real-time adjustment can be performed according to the current dredging condition so as to further adapt to the current dredging working condition;
4) sequentially carrying out loading performance evaluation and overflow performance evaluation on the corresponding characteristic parameters identified at this time; thereby realizing the corresponding performance evaluation of the trailing suction hopper dredger at different stages;
5) extracting decision information according to the evaluation result; aiming at the evaluation result, determining the drag head angle, the drag head water diversion window opening degree, the ground speed, the dredge pump speed, the high-pressure flushing pump speed, the average cabin entering concentration, the average cabin entering flow speed and the like of the drag suction dredger needing to be adjusted;
6) and outputting the assistant decision, and outputting the corresponding assistant decision so as to realize the adjustment of the corresponding parameters.
Specifically, the top 20 pre-orderings are respectively performed on the loading efficiency historical data of the loading stage of the corresponding characteristic parameters of each ship in the historical evaluation information of the expert library in the step 2), and the top 20 pre-orderings are performed on the comprehensive evaluation value historical data of the overflow stage, so that the dredging navigation condition and the corresponding parameters of the trailing suction hopper dredger on the current channel are estimated according to the conditional historical data ordering.
Specifically, after each evaluation, the expert database historical evaluation information respectively reorders the first 20 cabin loading efficiency historical data of the corresponding characteristic parameters of each ship in the cabin loading stage, and reorders the first 20 historical data of the comprehensive evaluation value in the overflow stage, so that the historical data is adjusted according to the current channel and the mud distribution condition to further meet the mud dredging condition of the current channel to further improve the evaluation accuracy.
Specifically, when the deviation between the distribution range of the evaluation result and the distribution range of the sorting result in the historical data is within a preset range, providing auxiliary decision information through historical experience data; when the deviation of the distribution range of the evaluation result and the distribution range of the sequencing result in the historical data exceeds a preset range, providing assistant decision information by combining historical experience data and manual real-time decision, wherein the deviation is in the preset range, which indicates that the difference between the working environment of the current dredging navigation of the trailing suction hopper dredger and the historical data is not large, so the assistant decision information provided by the historical experience data can be adopted; and when the deviation exceeds the preset range, the difference between the working environment of the current dredging navigation of the trailing suction hopper dredger and the historical data is large, and the auxiliary decision information given by the historical empirical data and the auxiliary decision information given by the field manual real-time decision are needed.
Specifically, the items for evaluating the loading and overflow performances in the step 4) at least comprise a drag head angle green color band, a drag head water diversion window opening green color band, a ground speed green color band, a dredge pump rotating speed green color band, a high-pressure flushing pump rotating speed green color band, an average cabin entering concentration green color band and an average cabin entering flow speed green color band, so that comprehensive real-time adjustment is simultaneously made from the drag head, the dredger, the dredge pump and the flushing pump to meet the current shape condition of the trailing suction dredger.
Specifically, the method for evaluating the loading performance of the corresponding characteristic parameter in the step 4) comprises the following steps:
the historical evaluation method of the green band of the rake head angle is to find the distribution range of the rake head angle of the first 20 ships with the largest loading efficiency;
the historical evaluation method of the opening degree green band of the drag head water diversion window is to find the opening condition and the distribution range of the drag head water diversion window of the first 20 ships with the largest loading efficiency.
The historical evaluation method of the green color band of the speed over ground is to find the distribution range of the speed over ground of the first 20 ship times with the maximum loading efficiency;
the historical evaluation method of the mud pump rotating speed green band is to find the distribution range of the mud pump rotating speed of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the average cabin entering concentration green color band is to find the distribution range of the average cabin entering concentration of the first 20 ship times with the maximum cabin loading efficiency;
the historical evaluation method of the average cabin entering flow speed green band is to find the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum cabin loading efficiency; and wherein the one or more of the one,
ηloading compartment＝mLoading compartment/tLoading compartment； (1)
ηLoading compartmentThe loading efficiency of the loading stage is shown;
mloading compartmentThe earth volume for loading;
tloading compartmentIs the loading time.
Specifically, the method for evaluating the overflow performance of the corresponding characteristic parameter in the step 4) includes:
the optimal evaluation method of the drag head angle green band is to search the distribution range of the drag head angle of the first 20 ships with the maximum comprehensive evaluation value;
the optimized evaluation method of the opening degree green band of the drag head water guide window is to search the opening condition and the distribution range of the drag head water guide window of the first 20 ships with the maximum comprehensive evaluation value;
the optimization evaluation method of the green color band of the speed of the ground is to search the distribution range of the speed of the ground of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the mud pump rotating speed green band is to search the distribution range of the mud pump rotating speed of the first 20 ship times with the maximum comprehensive evaluation value;
the method for the optimized evaluation of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the average entry concentration green band is to search the distribution range of the average entry concentration of the first 20 ship times with the maximum comprehensive evaluation value;
the optimization evaluation method of the average cabin entering flow speed green band is to search the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum comprehensive evaluation value;
in particular, the amount of the solvent to be used,
P＝a1ηt+a2s+a3m； (2)
p is a comprehensive evaluation value;
a1, a2 and a3 are respectively a first weight, a second weight and a third weight;
ηtoptimizing the value of the loading efficiency of the overflow stage;
s is sand storage rate;
m is the dry soil ton mass ratio; wherein the content of the first and second substances,
ηt＝(ηoverflow-ηOverflow min)/(ηOverflow max-ηOverflow max) (3)
ηOverflowThe efficiency of loading the tank for the overflow stage;
ηoverflow minThe minimum value of the loading efficiency of the overflow stage is obtained;
ηoverflow maxThe maximum value of the loading efficiency of the overflow stage is obtained;
ηoverflow＝(mOverflow t-mOverflow 0)/tOverflow； (4)
mOverflow tThe earth volume is the overflow end;
moverflow 0Start the earth volume for overflow;
toverflowIs the overflow time;
s＝1－roverflow/rLoading compartment(5)
rOverflowThe overflow earthwork rate;
rloading compartmentThe loading earthwork rate is taken as the loading earthwork rate;
roverflow＝VOverflow×(ρOverflow－ρWater (W))/(ρSaturated slurry－ρWater (W))/tOverflow； (6)
VOverflowIs the total volume of the overflow;
Voverflow＝VEnter the cabin–VEnd up； (7)
VOverflowThe total volume of the entering cabin is;
Vend upThe cabin capacity at the end;
ρoverflowIs the overflow density;
ρwater (W)Is the density of water;
ρsaturated slurryIs the density of the saturated mud;
ρoverflow＝(mEnter the cabin－mEnd up+mStart of)/(VEnter the cabin－VEnd up+VStart of) (8)
mEnter the cabinThe total mass of the entering cabin is;
mend upIs the end load mass;
mstart ofIs the initial loading mass;
Venter the cabinThe total volume of the entering cabin is;
Vend upIs the cabin capacity at the end;
Vstart ofIs the starting cabin capacity;
Figure BDA0002502256550000121
tstart ofIs the loading starting time;
tend upIs the loading end time;
uleft side ofIs the left flow rate;
ρleft side ofLeft density;
uright sideIs the right flow;
ρright sideRight density;
Figure BDA0002502256550000122
rloading compartment＝(mEarthwork t－mEarthwork 0)/tLoading compartment； (11)
mEarthwork tThe current earthwork;
mearthwork 0Is the earthwork when the loading is started;
m＝mearthworkρSaturated slurry/mLoading(12)
mEarthworkThe amount of earth is shown as the volume of earth;
mloadingIs the loading mass.
Specifically, the higher the comprehensive evaluation value is, the better the dredging process performance at the ship end of the trailing suction dredge is determined to be; the lower the comprehensive evaluation value is, the worse the dredging process performance at the ship end of the drag suction dredger is considered.
Specifically, the first weight, the second weight and the third weight are preset according to performance indexes of the trailing suction hopper dredger respectively, so that different weights are set according to different performances and sizes of the trailing suction hopper dredger to meet the accurate requirement of the dredging navigation.
The real-time dredging advancing process of the trailing suction hopper dredger is effectively intervened and decision-making output according to the real-time evaluation of the corresponding parameters of the trailing suction hopper dredger in the dredging advancing process of the trailing suction hopper dredger and the comparison between the distribution range of the current evaluation result and the distribution range of the sequencing result in the historical data and the preset range, the real-time proper evaluation and the corresponding regulation and control can be carried out according to different slurry environments and advancing working conditions in the dredging advancing process of the trailing suction hopper dredger, and therefore the stability and the effectiveness of the dredging work of the trailing suction hopper dredger are guaranteed
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (10)

1. The dredging process evaluation and decision-making assisting method at the ship end of the drag suction dredger is characterized in that: the method comprises the following steps:
1) collecting related data in the dredging process at the ship end of the trailing suction dredger in real time;
2) effectively identifying corresponding characteristic parameters in the related data in the corresponding operation stage;
3) extracting historical evaluation information through an expert database, and updating the expert database according to the corresponding characteristic parameters identified at this time;
4) sequentially carrying out loading performance evaluation and overflow performance evaluation on the corresponding characteristic parameters identified at this time;
5) extracting decision information according to the evaluation result;
6) and (5) outputting an auxiliary decision.
2. The method of claim 1, wherein the method comprises the steps of: and in the historical evaluation information of the specialist base in the step 2), pre-sorting the first 20 of the cabin loading efficiency historical data of the corresponding characteristic parameters of each ship in the cabin loading stage respectively, and pre-sorting the first 20 of the comprehensive evaluation value historical data in the overflow stage.
3. The method of claim 2, wherein the method comprises the steps of: after each evaluation, the historical evaluation information of the expert database respectively reorders the first 20 cabin loading efficiency historical data of the corresponding characteristic parameters of each ship in the cabin loading stage, and reorders the first 20 historical data of the comprehensive evaluation value in the overflow stage.
4. The method of claim 3, wherein the method comprises the steps of: when the deviation between the distribution range of the evaluation result and the distribution range of the sequencing result in the historical data is within a preset range, providing auxiliary decision information through historical experience data; and when the deviation between the distribution range of the evaluation result and the distribution range of the sequencing result in the historical data exceeds a preset range, providing auxiliary decision information by combining historical experience data and manual real-time decision.
5. The method of claim 1, wherein the method comprises the steps of: the items of the cabin loading and overflow performance evaluation in the step 4) at least comprise a drag head angle green strip, a drag head water guide window opening green strip, a ground speed green strip, a mud pump rotating speed green strip, a high-pressure flushing pump rotating speed green strip, an average cabin entering concentration green strip and an average cabin entering flow speed green strip.
6. The method of claim 5, wherein the method comprises the steps of: the method for evaluating the loading performance of the corresponding characteristic parameters in the step 4) comprises the following steps:
the historical evaluation method of the green band of the rake head angle is to find the distribution range of the rake head angle of the first 20 ships with the largest loading efficiency;
the historical evaluation method of the opening degree green band of the drag head water diversion window is to find the opening condition and the distribution range of the drag head water diversion window of the first 20 ships with the largest loading efficiency.
The historical evaluation method of the green color band of the speed over ground is to find the distribution range of the speed over ground of the first 20 ship times with the maximum loading efficiency;
the historical evaluation method of the mud pump rotating speed green band is to find the distribution range of the mud pump rotating speed of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the largest loading efficiency;
the historical evaluation method of the average cabin entering concentration green color band is to find the distribution range of the average cabin entering concentration of the first 20 ship times with the maximum cabin loading efficiency;
the historical evaluation method of the average cabin entering flow speed green band is to find the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum cabin loading efficiency; and wherein the one or more of the one,
ηloading compartment＝mLoading compartment/tLoading compartment； (1)
ηLoading compartmentThe loading efficiency of the loading stage is shown;
mloading compartmentThe earth volume for loading;
tloading compartmentIs the loading time.
7. The method of claim 5, wherein the method comprises the steps of: the method for evaluating the overflow performance of the corresponding characteristic parameters in the step 4) comprises the following steps:
the optimal evaluation method of the drag head angle green band is to search the distribution range of the drag head angle of the first 20 ships with the maximum comprehensive evaluation value;
the optimized evaluation method of the opening degree green band of the drag head water guide window is to search the opening condition and the distribution range of the drag head water guide window of the first 20 ships with the maximum comprehensive evaluation value;
the optimization evaluation method of the green color band of the speed of the ground is to search the distribution range of the speed of the ground of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the mud pump rotating speed green band is to search the distribution range of the mud pump rotating speed of the first 20 ship times with the maximum comprehensive evaluation value;
the method for the optimized evaluation of the rotating speed green band of the high-pressure flushing pump is to find the distribution range of the rotating speed of the high-pressure flushing pump of the first 20 ship times with the maximum comprehensive evaluation value;
the optimal evaluation method of the average entry concentration green band is to search the distribution range of the average entry concentration of the first 20 ship times with the maximum comprehensive evaluation value;
the optimization evaluation method of the average cabin entering flow speed green band is to search the distribution range of the average cabin entering flow speed of the first 20 ship times with the maximum comprehensive evaluation value;
8. the method of claim 7, wherein the method comprises the steps of:
P＝a1ηt+a2s+a3m； (2)
p is a comprehensive evaluation value;
a1, a2 and a3 are respectively a first weight, a second weight and a third weight;
ηtoptimizing the value of the loading efficiency of the overflow stage;
s is sand storage rate;
m is the dry soil ton mass ratio; wherein the content of the first and second substances,
Figure FDA0002502256540000041
ηoverflowThe efficiency of loading the tank for the overflow stage;
Figure FDA0002502256540000042
the minimum value of the loading efficiency of the overflow stage is obtained;
Figure FDA0002502256540000043
the maximum value of the loading efficiency of the overflow stage is obtained;
Figure FDA0002502256540000044
Figure FDA0002502256540000045
the earth volume is the overflow end;
moverflow 0Start the earth volume for overflow;
toverflowTo overflow time；
s＝1－rOverflow/rLoading compartment(5)
rOverflowThe overflow earthwork rate;
rloading compartmentThe loading earthwork rate is taken as the loading earthwork rate;
roverflow＝VOverflow×(ρOverflow－ρWater (W))/(ρSaturated slurry－ρWater (W))/tOverflow； (6)
VOverflowIs the total volume of the overflow;
Voverflow＝VEnter the cabin–VEnd up； (7)
VOverflowThe total volume of the entering cabin is;
Vend upThe cabin capacity at the end;
ρoverflowIs the overflow density;
ρwater (W)Is the density of water;
ρsaturated slurryIs the density of the saturated mud;
ρoverflow＝(mEnter the cabin－mEnd up+mStart of)/(VEnter the cabin－VEnd up+VStart of) (8)
mEnter the cabinThe total mass of the entering cabin is;
mend upIs the end load mass;
mstart ofIs the initial loading mass;
Venter the cabinThe total volume of the entering cabin is;
Vend upIs the cabin capacity at the end;
Vstart ofIs the starting cabin capacity;
Figure FDA0002502256540000051
tstart ofIs the loading starting time;
tend upIs the loading end time;
uleft side ofIs the left flow rate;
ρleft side ofLeft density;
uright sideIs the right flow;
ρright sideRight density;
Figure FDA0002502256540000061
Figure FDA0002502256540000062
Figure FDA0002502256540000063
the current earthwork;
mearthwork 0Is the earthwork when the loading is started;
m＝mearthworkρSaturated slurry/mLoading(12)
mEarthworkThe amount of earth is shown as the volume of earth;
mloadingIs the loading mass.
9. The method of claim 8, wherein the method comprises the steps of: the higher the comprehensive evaluation value is, the better the dredging process performance of the drag suction dredger end is determined to be; the lower the comprehensive evaluation value is, the worse the dredging process performance at the ship end of the drag suction dredger is considered.
10. The method of claim 8, wherein the method comprises the steps of: the first weight, the second weight and the third weight are preset according to the performance index of the trailing suction hopper dredger respectively.
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