CN116720651A

CN116720651A - Advanced prediction method and system for drainage of gate in flood season

Info

Publication number: CN116720651A
Application number: CN202310572995.8A
Authority: CN
Inventors: 朱骏玮; 石雁翔; 余冬平
Original assignee: Zhejiang Hehai Zhongkong Information Technology Co ltd
Current assignee: Zhejiang Hehai Zhongkong Information Technology Co ltd
Priority date: 2023-05-18
Filing date: 2023-05-18
Publication date: 2023-09-08

Abstract

The application discloses a method and a system for predicting drainage advance of a gate in a flood season, wherein the method comprises the following steps: creating a main water area file and a tributary file, and respectively recording historical precipitation information, water level information, sediment accumulation information and sediment removal records of the corresponding water areas in the files; defining a flood period judging rule; searching a main water area file and a gate file to obtain main water area flood period information and tributary flood period information; establishing a one-to-one correspondence of each item of information between the main water area and each tributary based on the time parameter, and generating a year/month tracking table by taking a year/month as a unit; calculating the average flood season starting time of the previous m years; calculating a flood approaching difference value of the current date and the average flood season starting time of the time sequence at the rear; judging whether the flood difference is smaller than a preset advanced drainage trigger threshold, if so, sending out an advanced drainage prompt message to a designated user terminal, and performing advanced drainage analysis. The application has the effect of reducing the damage probability of the flood season to the gate control area.

Description

Advanced prediction method and system for drainage of gate in flood season

Technical Field

The application relates to the technical field of river diversion management, in particular to a method and a system for advanced prediction of drainage of a gate in a flood season.

Background

Taking Hangjia shaoxing plain area of a long triangular river basin as an example, the land is relatively flat, the river network is widely distributed, and the method has great promotion effect on agricultural development.

In order to help the management of flood control, drought resistance, polder areas and irrigated areas of the masses in the regions, related workers and units are provided with gates in a plurality of riverways and are provided with gates, and the water level of the upstream and the downstream is regulated and controlled in a human intervention mode. 0004. It is known that coastal areas such as long triangles are affected by monsoon and the like in flood season, especially summer, and the water level changes relatively rapidly. In this stage, if the response of the gate control personnel is not timely, the upstream and downstream water levels are not observed in advance to perform pre-adjustment, or the related facility faults of the gate are not found and eliminated in advance, the damage probability of farmlands and the like is caused when severe weather such as storm is met, so the application provides a new technical scheme.

Disclosure of Invention

In order to reduce the damage probability of the flood season to the gate control area, the application provides a method and a system for predicting the drainage advance of the gate in the flood season.

In a first aspect, the application provides a method for predicting advanced drainage of a gate in a flood season, which adopts the following technical scheme:

a flood season gate drainage advanced prediction method comprises the following steps:

comprising the following steps: a data acquisition flow, a data preprocessing flow and a prediction analysis flow;

the data acquisition process comprises the following steps:

s11, defining a certain main water area and a plurality of branches communicated with the main water area as a water system to be monitored;

s12, creating a main water area file and a tributary file, and respectively recording historical precipitation information, water level information, sediment accumulation information and dredging records of the corresponding water areas in the file;

the data preprocessing flow comprises the following steps:

s21, defining a flood period judgment rule;

s22, searching a main water area file and a gate file to obtain main water area flood period information and tributary flood period information;

s23, establishing a one-to-one correspondence relation of various information between a main water area and various branches based on time parameters, and generating a year/month tracking table by taking a year/month as a unit;

the predictive analysis flow includes:

s31, calculating the average flood season starting time of the previous m years;

s32, calculating a flood-approaching difference value of the current date and the average flood season starting time of the time sequence at the rear;

s33, judging whether the temporary flood difference value is smaller than a preset advanced drainage trigger threshold value, if so, sending out an advanced drainage prompt message to a designated user terminal, and performing advanced drainage analysis; if not, returning to the flood difference calculation;

wherein the advanced drainage analysis includes:

searching a past year/month tracking table based on the current silt accumulation information and the silt removal record to obtain similar silt accumulation years; calling a year/month tracking table of similar year of accumulated silt, and obtaining corresponding expected water level change information based on the current water level of the main water area and each branch;

searching a year/month tracking table of the previous x years, comparing to obtain the maximum single-day precipitation after the beginning of a flood season after the time sequence of the current date relative to the past year, and recording as h3;

searching a year/month tracking table of similar years of accumulated stasis, comparing to obtain the maximum single-day precipitation after the beginning of a flood season behind the current date time sequence, and recording as h4;

and (5) the predicted water level change information of each water area and the h3 and h4 of the past year are summarized and sent to the appointed user terminal. Optionally, the searching the past year/month tracking table based on the current silt accumulation information and the silt removal record to obtain the silt accumulation similar year includes:

defining the time obtained after the difference between the starting time of the previous year flood period and the temporary flood difference value as a similar date;

calculating similar real deposition parameters according to deposition information and a cleaning record corresponding to the similar date, and calculating current real deposition parameters according to deposition information and a cleaning record corresponding to the current date;

making the similar real silt accumulation parameters and the current real silt accumulation parameters worse to obtain the silt accumulation variable quantity in the current year, and respectively calculating a main water area and each tributary;

the accumulation and silt change amount of the last year is called to be respectively worse than the accumulation and silt change amount of the current year, and the year with the highest similarity is taken as the accumulation and silt similar year.

Optionally, the method for obtaining the deposition information includes:

at least one unmanned ship is respectively preset in a main water area and each tributary;

and enabling the unmanned ship to execute the sediment height detection behaviors at a plurality of specified positions of the matched water area in a preset period, and uploading data to a specified data end.

In a second aspect, the application provides a flood season gate drainage advanced prediction system, which adopts the following technical scheme:

the advanced flood gate drainage prediction system comprises a supervision platform and a plurality of unmanned ships which are in wireless connection with the supervision platform, wherein the supervision platform is used for loading and executing a computer program of the advanced flood gate drainage prediction method according to any one of the above; the unmanned ship is arranged to collect the height information of the silt accumulation surface of the appointed sampling point. Optionally, the unmanned ship comprises a ship body and a sediment accumulation detection mechanism, wherein the sediment accumulation detection mechanism comprises; an electric rope winder which is installed on the ship body and is electrically connected with a control module of the ship body;

one end of the traction rope is fixed on the electric rope winder, and the other end of the traction rope penetrates through the ship body;

a weight ball fixed to one end of the traction rope far from the electric rope winder;

the fixed pulley block comprises two fixed pulleys; the method comprises the steps of,

a pressure sensor electrically connected to the control module of the hull;

the ship comprises a ship body, wherein an installation cavity is arranged in the ship body, an upper through hole communicated with the installation cavity and a storage hole are formed in the ship body, the upper through hole is positioned above the installation cavity for a traction rope to pass through, and the storage hole is positioned below the ship body and used for accommodating a counterweight ball;

the two fixed pulleys are transversely distributed in the mounting cavity, the traction rope passes through the upper through hole, bypasses the lower part of one fixed pulley, and then upwards winds to the top of the other fixed pulley, and then downwards stretches into the containing hole; the pressure sensor is fixed on a fixed pulley with the top contacted with the traction rope and embedded on the pulley surface, and the traction rope is pressed on the pressure sensor;

the control module of the hull is arranged as follows: and judging whether the counterweight ball contacts the underwater deposition surface according to whether the pressure detection value output by the pressure sensor suddenly changes, and calculating the deposition surface height H3 according to the control quantity of the electric rope winder. Optionally, at least two cameras of the hull are arranged above the hull, and one camera is used for collecting video information on the periphery of the hull; the other camera is arranged at the lower part of the ship body and used for collecting video information under the water surface.

Optionally, the calculating the height H of the deposition surface according to the control amount of the electric rope winder includes: assuming that the height of the preset elevation position is H1, the current water level of the water area where the unmanned ship is located obtained from the supervision platform 1 is H2, and the lowering length of the haulage rope 32 is L1, the height h3=h1- (H1-H2) -L1 of the deposition surface is recorded. Optionally, the camera at the lower part of the hull is arranged at the side of the storage hole, and the bottom of the counterweight ball is provided with a silt accumulation sampling structure;

the supervision platform is set as follows: acquiring video information acquired by a camera, identifying an image of the counterweight ball rising from the front of the camera, judging whether silt exists in the silt accumulation sampling mechanism, and if so, judging that the silt accumulation detection passes; otherwise, sending the information that the sediment accumulation detection fails to pass to the unmanned ship; the unmanned ship controller is configured to: when the sediment accumulation detection is not passed, the unmanned ship is driven to move by a preset movement control instruction, and the sediment accumulation detection is executed again.

Optionally, the deposition sampling structure includes that deposition sampling structure is including being fixed in the connecting rod of counter weight ball bottom, the annular plate of connecting rod lower extreme and a plurality of structure protruding that are located on the annular plate.

Optionally, the control module of the hull is configured to: and compensating the detection value of the pressure sensor based on the length of the traction rope released by the electric rope winder.

In summary, the present application includes at least one of the following beneficial technical effects: the method has the advantages that the method can remind workers for flood in advance according to the records of the flood season of the past year, and can also give out the condition of the accumulation and the change of the water level of each water area, the condition of the similar accumulation and the flood season precipitation information of the previous years, so that the workers can be helped to evaluate whether the capacities of the main water area and each tributary are enough to face the subsequent flood season precipitation, thereby carrying out measures such as main water area drainage in advance and reducing the probability of farmland damage caused by the lack of gate control; meanwhile, the accuracy is relatively higher because the evaluation standard of the temporary flood is determined according to the average value obtained in the last years of flood period instead of the fixed value.

Drawings

FIG. 1 is a schematic of the main flow of the process of the present application;

FIG. 2 is a schematic control architecture of the system of the present application;

FIG. 3 is a schematic view of the overall structure of the unmanned ship of the system of the present application;

FIG. 4 is a schematic view of the unmanned ship of the present application partially in section;

FIG. 5 is a schematic structural view of a fixed pulley block of the system of the present application;

fig. 6 is an enlarged schematic view of a portion a of fig. 5.

Reference numerals illustrate: 1. a supervision platform; 2. a hull; 21. installing a cavity; 22. an upper through hole; 23. a receiving hole; 3. a siltation detection mechanism; 31. an electric rope winder; 32. a traction rope; 33. a weight ball; 34. a fixed pulley block; 341. a fixed pulley; 342. a wheel carrier; 343. a bottom plate; 35. a pressure sensor; 4. a top cover; 5. a second imaging platform; 6. a sediment accumulation sampling structure; 61. a connecting rod; 62. a ring plate; 63. the structure is convex.

Description of the embodiments

The application is described in further detail below with reference to fig. 1-6.

The embodiment of the application discloses a method for predicting drainage advance of a gate in a flood season.

Referring to fig. 1, the method for predicting the advanced drainage of the gate in the flood season comprises the following steps: the method comprises a data acquisition process, a data preprocessing process and a predictive analysis process.

Regarding the data acquisition flow, it includes:

s11, defining a certain main water area and a plurality of branches communicated with the main water area as a water system to be monitored; for easy recognition, the identification codes may be respectively assigned, for example: the main body of water is labeled a, and the other individual branches are labeled a11, a12, a13, … …, or a21, a22, a23, … …, respectively. In this embodiment, the main water area is assumed to be a lake, and the above-mentioned branch defined as the beginning of A1 is defined as a branch which enters the lake, and the branch defined as the beginning of A2 is defined as a branch which branches from the lake.

S12, creating a main water area file and a tributary file, and respectively recording historical precipitation information, water level information, sediment accumulation information and dredging records of the corresponding water area in the file.

The historical precipitation refers to: the daily rainfall actually measured locally can be measured by a staff laying a rainfall detection station on the coast of a main water area and tributaries in advance. The water level information can be measured by arranging a water level sensor in each water area.

The accumulation information refers to: and collecting the height of the deposition surface of a plurality of sampling points in each water area, and calculating the average deposition information by the height difference between the deposition surface and a preset elevation facility (an elevation rod and a drawing line on a fixed building). One way of obtaining the item of data is: the relevant staff enter the water area by means of ships and the like, and detect sludge by means of tools such as scales and the like; in the present application, the second mode is preferred: enabling a preconfigured unmanned ship to execute a sediment height detection action at a plurality of specified positions of a matched water area in a preset period in a reciprocating manner, and uploading data to a specified data end; this part is illustrated in another embodiment described below.

The dredging record refers to: recording dredging activities of water areas organized by local related units and personnel, and recording the variation of the height difference of the dredging surfaces before and after dredging.

Regarding the data preprocessing flow, it includes:

s21, defining a flood period judging rule. The content is actually defined by staff according to the requirements of relevant departments in each place, for example: and if the water level of the main water area is greater than a preset threshold h1 and/or the continuous precipitation amount for N times is greater than a preset threshold h2, judging that the flood season is entered.

S22, searching the main water area file and the gate file to obtain main water area flood period information and tributary flood period information. It can be understood that the two pieces of information include the content corresponding to each information item of the file record conforming to the flood season judging rule, and have corresponding time parameters; the time parameters include year, month, day, and 24 hour values; the 24 hour value is used for matching water level and precipitation data, and the time of year, month and day is used for matching accumulated silt and dredging, after all, the short time variation of the former is not large, and the latter needs to be cleaned manually, and the same short time is generally taken as a unit of day.

S23, establishing a one-to-one correspondence relation of various information between the main water area and each tributary based on the time parameter, and generating a year/month tracking table by taking year/month as a unit.

It will be appreciated that the table format established based on the time parameter is shown in the following table 1:

regarding predictive analysis flow, it includes:

s31, calculating the average flood season starting time of the previous m years. Such as: the initial time of the 2020 year flood period is 3 months and 4 days, the initial time of the 2021 year flood period is 3-8 days, the initial time of the 2022 year flood period is 3-6 days, if m=3, the average flood period initial time is (3.4+3.8+3.6)/3=3.6, namely 3 months and 6 days; it is understood that, for the date, if the decimal occurs in the calculation process, the date after the decimal is removed may be directly taken.

S32, calculating a temporary flood difference value of the current date and the average flood season starting time after the time sequence.

S33, judging whether the temporary flood difference value is smaller than a preset advanced drainage trigger threshold value, if so, sending out an advanced drainage prompt message to a designated user terminal, and performing advanced drainage analysis; if not, returning to the calculation of the temporary flood difference value.

Wherein, advance drainage analysis includes:

calculating similar real silt accumulation parameters, namely a silt accumulation value and the latest silt removal height difference variable quantity according to silt accumulation information and a silt removal record corresponding to similar dates, wherein if the silt accumulation value is updated with hysteresis, the silt accumulation value does not represent the real silt surface height;

calculating current real deposition parameters according to deposition information and a cleaning record corresponding to the current date;

the accumulation and silt change quantity of the last year is called to be respectively worse than the accumulation and silt change quantity of the current year, and the year with highest similarity (for example, the difference value is the smallest;

the year/month tracking list of similar years of accumulated silt is called, the water level variation before the flood season is calculated compared with the water level of the precipitation in the subsequent flood season reaches the peak value, and a water level continuous variation sample is obtained;

accumulating water level continuous change samples based on the current water levels of the main water area and each branch respectively to obtain predicted water level change information of each water area;

searching a year/month tracking table of the previous x years, comparing to obtain the maximum single-day precipitation after the beginning of a flood season after the time sequence of the current date relative to the past year, and recording as h3; wherein x is a value selected by a user;

and (5) the predicted water level change information of each water area and the h3 and h4 of the past year are summarized and sent to the appointed user terminal. According to the method, the staff can be reminded of flood in advance according to the flood season records of the past year, the condition of accumulation and precipitation of each water area, the water level change possibly occurring in the flood season and the flood season precipitation information of similar accumulation and precipitation years before can be given, so that the staff can be helped to evaluate whether the capacities of the main water area and each tributary are enough to face the subsequent flood season precipitation, measures such as main water area drainage and the like can be carried out in advance, and the probability of farmland damage caused by the lack of gate control is reduced;

meanwhile, the accuracy is relatively higher because the average value obtained in the flood season of the previous years is taken as an evaluation criterion instead of a fixed value.

The embodiment of the application also discloses a system for predicting the advanced drainage of the gate in the flood season.

Referring to fig. 2 and 3, the flood season gate drainage lead prediction system includes: the monitoring platform 1 and the unmanned ship, wherein the monitoring platform 1 can be a computer equipped by a worker at a designated workstation, and the computer and the unmanned ship are connected to the same designated cloud to realize data connection.

In the present embodiment, the supervision platform 1 is set to: a computer program for loading and executing the method for predicting the advanced flood season gate drainage as described above.

Referring to fig. 2 to 4, in order to acquire the dredging information in cooperation with the supervisory platform 1, the unmanned ship is configured to include: a hull 2 and a sediment accumulation detecting mechanism 3.

The hull 2 is the main body structure of the unmanned ship, and it can be understood that the unmanned ship is in the prior art, and the hull 2 is only used as a water surface moving carrier controlled by one hand, and any unmanned ship capable of being controlled by networking can be used, so that the description thereof is omitted. It should be noted that, to meet the requirements of this embodiment, the unmanned ship should be selected to have at least a control module (motherboard), a camera, a communication module, and a propulsion system.

The sediment accumulation detecting mechanism 3 includes: an electric rope winder 31, a traction rope 32, a counterweight ball 33, a fixed pulley block 34 and a pressure sensor 35.

A mounting cavity 21 is provided in the hull 2, and an upper through hole 22 and a receiving hole 23 are provided to communicate with the mounting cavity 21. The upper through hole 22 is located above the mounting cavity 21, and the inside of the upper through hole is connected with an adaptive top cover 4 in a threaded manner. The electric rope reel 31 may be a small winch which is fixed to the upper portion of the top cover 4 with bolts; the (motor of the) electric rope reel 31 is electrically connected to the control module of the hull 2 through a drive controller to realize rope winding and unwinding control. Referring to fig. 4 and 5, one end of the traction rope 32 is fixed to the rope winding structure of the electric rope winder 31, and the other end is passed through the rope hole pre-opened in the top cover 4 downward to extend into the installation cavity 21.

The fixed pulley block 34 comprises two fixed pulleys 341 and a wheel frame 342, the wheel frame 342 is fixed on a bottom plate 343, and the bottom plate 343 is fixed on the bottom of the installation cavity 21 by bolts before the hull 2 is closed; the wheel frames 342 are two and symmetrically distributed, the fixed pulleys 341 are rotatably connected to the wheel frames 342, and the rotating surfaces are vertical; two fixed pulleys 341 are laterally distributed in the mounting cavity 21.

The traction rope 32 entering the installation cavity 21 is wound downward around the lower part of one fixed pulley 341, then wound upward to the top of the other fixed pulley 341, and then downward. The receiving hole 23 is located below the mounting cavity 21, and finally the downward traction rope 32 extends into the receiving hole 23. The weight ball 33 may be a metal ball that is fixed to the downward end of the traction rope 32; the weight ball 33 can be moved into and out of the receiving hole 23.

When the height of the underwater silt deposition surface needs to be detected, the ship body 2 is controlled to move to a designated position of a water area, and then the traction rope 32 below the electric rope winder 31 is controlled, and the traction rope 32 is pulled down under the gravity action of the counterweight ball 33. The above-described pressure sensor 35 is used to help the unmanned ship determine whether the weight ball 33 contacts the deposition surface, specifically as follows:

the pressure sensor 35 is embedded in the top wheel surface of the second fixed pulley 341, and when the traction rope 32 bypasses the fixed pulley 341 and sags under the gravity action of the counterweight ball 33, the traction rope 32 is pressed on the sensing head of the pressure sensor 35. Therefore, when the weight ball 33 has no bottom support and does not contact the deposition surface, the pressure detection value fed back by the pressure sensor 35 is relatively large, which may be referred to as g-max; when the weight ball 33 is sunk to the deposition surface, the abrupt change of the pressure detection value fed back by the pressure sensor 35 is reduced, which may be referred to as g-min.

Based on the above, the control module of the hull 2 is set to: and judging whether the counterweight ball contacts the underwater deposition surface according to whether the pressure detection value output by the pressure sensor is suddenly changed. It is understood that the g-max and g-min are all range values, and the abrupt change is close to the difference between the gravity of the counterweight ball and the buoyancy of the completely immersed water.

As described above, the unmanned ship can obtain the amount of the pull rope 32 to be lowered, and the weight ball 33 contacts the deposition surface; the control module of the hull 2 is thus arranged to: the accumulation surface height is calculated from the control amount of the electric rope reel 31, specifically:

the control amount of the electric rope winder 31 is converted into the lower length of the traction rope 32 according to a preset formula; such as: the motor is controlled by the pulse, and the 10 pulse electric rope winder 31 unwinds 10cm, so that when the control amount is 100 pulses, the pull rope 32 unwinds 100cm.

Thereafter: assuming that the height of the preset elevation position is H1, the current water level of the water area where the unmanned ship is located obtained from the supervision platform 1 is H2, and the lowering length of the haulage rope 32 is L1, the height h3=h1- (H1-H2) -L1 of the deposition surface is recorded.

In one embodiment of the system, in order to avoid interference of underwater weeds and garbage to the detection of the silt deposition surface, the following settings are made:

at least two cameras are arranged on the ship body 2, and two cameras are taken as examples: and a camera is positioned at the upper part of the ship body 2 and is used for collecting video information of the periphery side of the ship body 2 so as to facilitate the timely control of the ship body 2 by workers to avoid obstacles and the like. The other camera is mounted on the bottom of the hull 2 and is located on the side of the receiving hole 23, specifically: the second camera shooting platform 5 is fixed on the lower portion of the ship body 2, the second camera shooting platform 5 protrudes out of the bottom of the ship body 2, and the camera is mounted at the lower end of the second camera shooting platform 5.

The second camera is used to collect video information under water, including the dropping and lifting of the weight ball 33 from its front of the lens.

Referring to fig. 6, a sediment sampling structure 6 is provided at the bottom of the weight ball 33, and the sediment sampling structure 6 includes a connection rod 61, a ring plate 62, and a structural protrusion 63. Wherein, the connecting rod 61 is fixed at the bottom of the weight ball 33, the annular plate 62 is sleeved and fixed at the lower end of the connecting rod 61, and the structural bulge 63 is formed on the annular plate 62.

After the counterweight ball 33 falls on the silt accumulation layer, the silt accumulation sampling structure 6 is inserted into silt; after the weight balls 33 are pulled up, part of the sludge is retained on the ring plate 62 and temporarily stopped by the structural protrusions 63.

Correspondingly, the supervisory platform 1 is set to:

acquiring video information acquired by a camera, and identifying an image of the lifting of the counterweight ball 33 from the front of the camera; for example: suspending the video at a preset frequency, and extracting the image in suspension for image recognition. Then judging whether the silt is present in the silt accumulation sampling structure 6 according to the image, if so, judging that the silt accumulation detection passes; otherwise, the information that the sediment accumulation detection fails is sent to the unmanned ship.

At this time, the controller of the unmanned ship is set to: when the sediment accumulation detection is not passed, the unmanned ship is driven to move by a preset movement control command (for example, 0.5m forward), and the sediment accumulation detection (the above-mentioned action of lowering the weight ball 33) is performed again.

According to the above, if the personnel set the unmanned ship as automatic cruising and no intervention control is performed when the silt accumulation surface is detected, the system can automatically judge whether the silt accumulation detection is reasonable or not; if the sediment accumulation detection is not passed, the unmanned ship can automatically adjust the sampling point. Based on the above, the position of the sediment sampling detection in the present application is a range value and is not a single fixed point.

In one embodiment, to improve accuracy in identifying the presence of silt on the annular plate 62, a neural network model training is preferably used to train the matched image recognition model.

In one embodiment of the application, the control module of the hull 2 of the present system is arranged to: the detection value of the pressure sensor 35 is compensated based on the length of the traction rope 32 released by the electric rope reel 31, specifically: assuming that the pressure detection value of the pressure sensor 35 is 7N increased when the pulling rope is lowered by 1m, after the pulling rope is lowered by 3.8m, the compensation pressure is 3.8x20=26.6n; that is, the true pressure detection value when the pulling rope 32 is lowered by 3.8m is 26.6N of the original pressure detection value + (the compensation pressure).

According to the above, it is possible to avoid excessive interference to judge whether the weight ball 33 falls on the deposition surface when the hauling rope 32 is lowered too long.

It will be appreciated that in order to ensure the accuracy of the detection of the deposition surface, the detection sampling point should be selected in a relatively gentle area of the water flow, so as to prevent the rapid flow from driving the haulage rope 32 laterally to excessively affect the detection process.

The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.

Claims

1. The advanced prediction method for the drainage of the gate in the flood season is characterized by comprising the following steps of: a data acquisition flow, a data preprocessing flow and a prediction analysis flow;

the data acquisition process comprises the following steps:

the data preprocessing flow comprises the following steps:

s21, defining a flood period judgment rule;

the predictive analysis flow includes:

wherein the advanced drainage analysis includes:

searching a past year/month tracking table based on the current silt accumulation information and the silt removal record to obtain similar silt accumulation years;

calling a year/month tracking table of similar year of accumulated silt, and obtaining corresponding expected water level change information based on the current water level of the main water area and each branch;

and (5) the predicted water level change information of each water area and the h3 and h4 of the past year are summarized and sent to the appointed user terminal.

2. The flood season gate drainage lead prediction method according to claim 1, wherein: the method for searching the past year/month tracking table based on the current silt accumulation information and the silt removal record to obtain the similar years of the silt accumulation comprises the following steps:

3. The method for advanced prediction of flood season gate drainage according to claim 1 or 2, wherein the method for acquiring the accumulation information comprises:

4. A flood season gate drainage advanced prediction system is characterized in that: the system comprises a supervision platform (1) and a plurality of unmanned ships which are in wireless connection with the supervision platform (1), wherein the supervision platform (1) is used for loading and executing a computer program of the flood season gate drainage advanced prediction method according to any one of claims 1-2; the unmanned ship is arranged to collect the height information of the silt accumulation surface of the appointed sampling point.

5. The flood season gate drainage lead prediction system according to claim 4, wherein: the unmanned ship comprises a ship body (2) and a sediment accumulation detection mechanism (3), wherein the sediment accumulation detection mechanism (3) comprises;

an electric rope reel (31) mounted to the hull (2) and electrically connected to a control module of the hull (2);

a traction rope (32) one end of which is fixed to the electric rope reel (31) and the other end of which penetrates the hull (2);

a weight ball (33) fixed to one end of the traction rope (32) away from the electric rope winder (31);

a set of fixed pulleys (341) (34) comprising two fixed pulleys (341); the method comprises the steps of,

a pressure sensor (35) electrically connected to the control module of the hull (2);

the ship comprises a ship body (2), wherein an installation cavity (21) is arranged in the ship body (2), an upper through hole (22) communicated with the installation cavity (21) and a containing hole (23) are formed, the upper through hole (22) is positioned above the installation cavity (21) for a traction rope (32) to pass through, and the containing hole (23) is positioned below the ship body (2) and used for containing a counterweight ball (33);

the two fixed pulleys (341) are transversely distributed in the mounting cavity (21), and the traction rope (32) passes through the upper through hole (22) and then bypasses the lower part of one fixed pulley (341) and then upwards winds to the top of the other fixed pulley (341) and then downwards stretches into the storage hole (23); the pressure sensor (35) is fixed on a fixed pulley (341) with the top contacted with the traction rope (32) and embedded on the wheel surface, and the traction rope (32) is pressed on the pressure sensor (35);

the control module of the hull (2) is arranged as follows: whether the weight ball (33) contacts the underwater deposition surface is judged according to whether the pressure detection value output by the pressure sensor (35) suddenly changes, and the deposition surface height H3 is calculated according to the control quantity of the electric rope winder (31).

6. The flood season gate drainage lead prediction system according to claim 5, wherein: at least two cameras of the ship body (2) are arranged above the ship body (2), and one camera is used for collecting video information on the periphery of the ship body (2); the other camera is arranged at the lower part of the ship body (2) and is used for collecting video information under the water surface.

7. The flood season gate drainage lead prediction system according to claim 6, wherein: the calculation of the deposition surface height H according to the control amount of the electric rope winder (31) comprises: assuming that the height of the preset elevation position is H1, recording the current water level of the water area where the unmanned ship is located, which is acquired from the supervision platform (1) 1, as H2, and recording the lowering length of the haulage rope (32) as L1, the height of the silt deposition surface is H3=H2- (H1-H2) -L1.

8. The flood season gate drainage lead prediction system according to claim 6, wherein: the camera at the lower part of the ship body (2) is arranged at the side of the containing hole (23), and the bottom of the counterweight ball (33) is provided with a sediment accumulation sampling structure (6);

the supervision platform (1) is provided with: acquiring video information acquired by a camera, identifying an image of the counterweight ball (33) rising from the front of the camera, judging whether sludge exists in the sludge sampling mechanism, and if so, judging that the sludge passes the sludge detection; otherwise, sending the information that the sediment accumulation detection fails to pass to the unmanned ship; the unmanned ship controller is configured to: when the sediment accumulation detection is not passed, the unmanned ship is driven to move by a preset movement control instruction, and the sediment accumulation detection is executed again.

9. The flood season gate drainage lead prediction system according to claim 8, wherein: the silt deposition sampling structure (6) comprises a silt deposition sampling structure (6) and a plurality of structural protrusions (63) arranged on the annular plate (62), wherein the connecting rod (61) is fixed at the bottom of the counterweight ball (33), the annular plate (62) is arranged at the lower end of the connecting rod (61).

10. The flood season gate drainage lead prediction system according to claim 5, wherein: the control module of the hull (2) is arranged as follows: the detected value of the pressure sensor (35) is compensated based on the length of the traction rope (32) released by the electric rope winder (31).