CN117850487B - Gate intelligent control method and system based on water conservancy monitoring data - Google Patents

Gate intelligent control method and system based on water conservancy monitoring data Download PDF

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Publication number
CN117850487B
CN117850487B CN202410259818.9A CN202410259818A CN117850487B CN 117850487 B CN117850487 B CN 117850487B CN 202410259818 A CN202410259818 A CN 202410259818A CN 117850487 B CN117850487 B CN 117850487B
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gate
water conservancy
time
water level
delay time
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CN117850487A (en
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韩乾
刘少锋
贾启科
王丕国
胡海龙
师亚晓
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Shanxi Boke Huitong Technology Co ltd
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Shanxi Boke Huitong Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D9/00Level control, e.g. controlling quantity of material stored in vessel
    • G05D9/12Level control, e.g. controlling quantity of material stored in vessel characterised by the use of electric means

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Abstract

The invention discloses a gate intelligent control method and system based on water conservancy monitoring data, which relate to the technical field of water conservancy management and comprise the following steps: acquiring operation data of all gates in the water conservancy system, and determining analysis duration of each gate in the water conservancy system based on the operation data; forming a gate analysis duration matrix from analysis durations of all gates; the water level height information in the water conservancy system is monitored in real time, and the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration is predicted and recorded as the gate regulation and closing degree; generating gate regulation signals based on the gate regulation opening and closing degree, and summarizing all the gate regulation signals to form a gate regulation signal matrix; the central control terminal controls the gate to regulate and control the opening and closing degree. The invention has the advantages that: the regulation delay of the gate is greatly shortened, the opening and closing accuracy of the gate during regulation is guaranteed, and further accurate control of the gate of the water conservancy system is achieved, and further the water conservancy system can effectively achieve a preset regulation effect.

Description

Gate intelligent control method and system based on water conservancy monitoring data
Technical Field
The invention relates to the technical field of water conservancy management, in particular to a gate intelligent control method and system based on water conservancy monitoring data.
Background
The gate is a low-head hydraulic building which is built on river channels and controls flow and water level by using the gate. The gate can be closed to block flood, damp or raise the upstream water level so as to meet the requirements of irrigation, power generation, shipping, aquatic products, environmental protection, industrial and domestic water and the like; the gate is opened, so that flood, waterlogging, water disposal or waste water can be released, and water can be supplied to downstream river channels or channels. In hydraulic engineering, the sluice is used as the building that manges water, sluices or intakes water, and the application is extensive.
A water conservancy system generally has a multichannel gate, has the postponement nature to the control of gate among the prior art, adjusts and controls the degree of opening and shutting of gate according to real-time water conservancy monitoring data promptly, then needs waiting a short period of time, just can make the gate open and shut the action, can't carry out analysis prediction according to current water conservancy monitoring data, is difficult to realize the accurate optimal control in real time of gate.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides the intelligent control method and the intelligent control system for the gate based on the water conservancy monitoring data, and solves the problems that the control of the gate has postponement, namely, the opening and closing degree of the gate is regulated and controlled according to the real-time water conservancy monitoring data, a short period of time is required to be required to enable the gate to open and close, the gate cannot be analyzed and predicted according to the current water conservancy monitoring data, and the real-time accurate optimal control of the gate is difficult to realize.
In order to achieve the above purpose, the invention adopts the following technical scheme:
A gate intelligent control method based on water conservancy monitoring data comprises the following steps:
acquiring operation data of all gates in the water conservancy system, and determining analysis duration of each gate in the water conservancy system based on the operation data;
the analysis duration of all gates is formed into a gate analysis duration matrix A, Wherein/>For the analysis duration of the ith gate in the water conservancy system,/>The total number of gates in the water conservancy system;
The water level information in the water conservancy system is monitored in real time, and the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration is predicted based on the water level information in the water conservancy system and is recorded as the gate regulation and control opening and closing degree;
generating gate regulation signals based on the gate regulation opening and closing degree, summarizing all the gate regulation signals to form a gate regulation signal matrix B, Wherein/>A gate regulation signal of an ith gate in the water conservancy system;
the central control terminal sends gate control signals to each gate in the water conservancy system according to the gate control signal matrix, and the gate control opening and closing degree is controlled.
Preferably, the acquiring operation data of all gates in the water conservancy system, and determining the analysis duration of each gate in the water conservancy system based on the operation data specifically includes:
performing communication tests for a plurality of times on all gates in the water conservancy system to obtain a plurality of test delay time lengths;
analyzing a plurality of test delay time lengths to obtain a standard test delay time length;
screening out the data with the largest occurrence number in the standard test delay time as the most frequent time, screening out the data with the largest standard test delay time as the worst time, and screening out the data with the smallest standard test delay time as the optimal time;
calculating analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length;
the delay time formula specifically comprises the following steps:
In the method, in the process of the invention, For analysis duration of gate,/>For the average value of all standard test delay time lengths corresponding to the gate,/>For the most frequent duration of the gate,/>For the worst duration corresponding to the gate,/>The optimal time length corresponding to the gate.
Preferably, the communication test specifically includes:
And sending a communication test message to the gate, waiting for the gate to return a contracted test feedback message, and recording the time from sending the communication test message to receiving the test feedback message as the corresponding test delay time of the communication test.
Preferably, the analyzing the plurality of test delay time lengths to obtain the standard test delay time length specifically includes:
determining a detection level, wherein the value range of the detection level is 0.01-0.1;
based on the determined detection level and the total number of the test delay time, checking a corresponding abnormal critical value in a Grabbs table;
Calculating the average value of all the test delay time lengths and the standard deviation of all the test delay time lengths;
Constructing an anomaly determination inequality based on the average value of all the test delay time lengths, the standard deviation of all the test delay time lengths and the anomaly threshold value;
Judging whether the test delay time length meets an abnormal judgment inequality or not, if so, judging the test delay time length as an abnormal value, and if not, judging the test delay time length as a normal value;
removing all abnormal values to obtain standard test delay time length;
wherein the abnormality determination inequality is specifically:
In the method, in the process of the invention, For the first test delay duration,/>For the average of all test delay durations,/>For the standard value of all test delay time length,/>Is an anomaly threshold value.
Preferably, predicting the gate opening and closing degree of each gate at the time corresponding to the next analysis duration based on the water level height information in the water conservancy system specifically includes:
collecting at least one continuous change curve of the water level height in the water conservancy system along with the time change, and summarizing all the continuous change curves into a water level height curve;
Taking the current moment as a moment datum point, acquiring a plurality of sample moment points on a water level height curve according to the analysis duration of the gate as intervals, and determining the water level height of the sample moment points;
Sequentially numbering a plurality of sample time points according to the distance between the sample time points and the time reference points;
Predicting the water level height in the water conservancy system at the moment corresponding to the next analysis time length through a water level prediction formula, and marking the water level height as the predicted water level height;
Determining the opening and closing degree of the gate at the moment corresponding to the next analysis duration based on the predicted water level height;
the water level prediction formula specifically comprises the following steps:
In the method, in the process of the invention, To predict the water level,/>The water level height at the sample time corresponding to the number j is given, m is the total number of sample time points, and the sample time point with the number m is the time reference point.
Preferably, the gate regulation signal comprises gate regulation time point information and gate opening and closing degree information corresponding to the gate regulation time point;
the gate regulation time point is the time corresponding to the next analysis duration.
Further, a gate intelligent control system based on water conservancy monitoring data is provided, which is used for implementing the gate intelligent control method based on water conservancy monitoring data, and the gate intelligent control system comprises:
the gate operation test module is used for acquiring operation data of all gates in the water conservancy system, determining analysis duration of each gate in the water conservancy system based on the operation data, and forming a gate analysis duration matrix from the analysis duration of all gates;
the water level monitoring module is used for monitoring water level height information in the water conservancy system in real time;
The water level analysis module is electrically connected with the water level monitoring module and the gate operation testing module, and is used for predicting the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration based on the water level height information in the water conservancy system, and recording the gate opening and closing degree as gate regulation and control degree;
the signal generation module is electrically connected with the water level analysis module and the gate operation test module, and is used for generating gate regulation signals based on the gate regulation opening and closing degree, and summarizing all the gate regulation signals to form a gate regulation signal matrix;
The central control terminal is electrically connected with the signal generation module and is used for sending gate control signals to each gate in the water conservancy system according to the gate control signal matrix to control the gate to control the opening and closing degree.
Optionally, the gate operation test module includes:
The communication test unit is used for carrying out communication tests on all gates in the water conservancy system for a plurality of times to obtain a plurality of test delay time lengths;
The abnormality analysis unit is used for analyzing a plurality of test delay time lengths to obtain standard test delay time lengths;
The time length calculation unit is used for screening out data with the largest occurrence number in the standard test time delay time length as the most frequent time length, screening out data with the largest standard test time delay time length as the worst time length, screening out data with the smallest standard test time delay time length as the optimal time length, and calculating the analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length.
Optionally, the water level analysis module includes:
The curve generation unit is used for collecting at least one continuous change curve of the water level height in the water conservancy system along with the change of time, and summarizing all the continuous change curves into one water level height curve;
The time determining unit is used for obtaining a plurality of sample time points on the water level height curve according to the analysis time length of the gate as intervals by taking the current time as a time reference point and determining the water level height of the sample time points;
The analysis and calculation unit is used for numbering a plurality of sample time points according to the distance from the time reference point to the time reference point in sequence, predicting the water level height in the water conservancy system at the time corresponding to the next analysis time length through a water level prediction formula, marking the water level height as the predicted water level height, and determining the gate opening and closing degree of the gate at the time corresponding to the next analysis time length based on the predicted water level height.
Compared with the prior art, the invention has the beneficial effects that:
The invention provides an intelligent control scheme of a gate based on water conservancy monitoring data, which is used for pre-analyzing the opening and closing degree of the gate of a water conservancy system based on the control delay of all gates in the water conservancy system and the change trend of the water level height in the water conservancy system, and sending a pre-regulating signal to the gate of the water conservancy system based on an analysis result.
Drawings
FIG. 1 is a flow chart of a gate intelligent control method based on water conservancy monitoring data;
FIG. 2 is a flow chart of a method for determining the analysis duration of each gate in a water system according to the present invention;
FIG. 3 is a flow chart of a method for analyzing a plurality of test delay time durations to obtain a standard test delay time duration in the invention;
FIG. 4 is a flowchart of a method for predicting the opening and closing degree of each gate at the moment corresponding to the next analysis duration in the present invention;
fig. 5 is a block diagram of a gate intelligent control system based on water conservancy monitoring data.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a gate intelligent control method based on water conservancy monitoring data includes:
acquiring operation data of all gates in the water conservancy system, and determining analysis duration of each gate in the water conservancy system based on the operation data;
the analysis duration of all gates is formed into a gate analysis duration matrix A, Wherein/>For the analysis duration of the ith gate in the water conservancy system,/>The total number of gates in the water conservancy system;
The water level information in the water conservancy system is monitored in real time, and the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration is predicted based on the water level information in the water conservancy system and is recorded as the gate regulation and control opening and closing degree;
Generating a gate control signal based on the gate control opening and closing degree, wherein the gate control signal comprises gate control moment information and gate opening and closing degree information corresponding to the gate control moment; the gate regulation and control moment point is the moment corresponding to the next analysis duration;
Summarizing all gate regulation signals to form a gate regulation signal matrix B, Wherein/>A gate regulation signal of an ith gate in the water conservancy system;
the central control terminal sends gate control signals to each gate in the water conservancy system according to the gate control signal matrix, and the gate control opening and closing degree is controlled.
According to the scheme, based on the control postponement of all gates in the water conservancy system, the advance analysis of the opening and closing degree of the water conservancy gates is carried out based on the water level height change trend in the water conservancy system, and the advance control signal is sent to the gates of the water conservancy system based on the analysis result.
Referring to fig. 2, acquiring operation data of all gates in the water conservancy system, and determining an analysis duration of each gate in the water conservancy system based on the operation data specifically includes:
Carrying out communication test on all gates in the water conservancy system for a plurality of times to obtain a plurality of test delay time lengths, wherein the communication test is specifically as follows: sending a communication test message to the gate, waiting for the gate to return a contracted test feedback message, and recording the time from sending the communication test message to receiving the test feedback message as the corresponding test delay time of the communication test;
analyzing a plurality of test delay time lengths to obtain a standard test delay time length;
screening out the data with the largest occurrence number in the standard test delay time as the most frequent time, screening out the data with the largest standard test delay time as the worst time, and screening out the data with the smallest standard test delay time as the optimal time;
calculating analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length;
The time delay time length formula specifically comprises:
In the method, in the process of the invention, For analysis duration of gate,/>For the average value of all standard test delay time lengths corresponding to the gate,/>For the most frequent duration of the gate,/>For the worst duration corresponding to the gate,/>The optimal time length corresponding to the gate.
It can be understood that due to different communication modes, delay exists between sending out the regulation signal from the central control system and receiving the regulation signal by the gate to execute the regulation action, so that the gate cannot be analyzed and predicted according to the current water conservancy monitoring data, real-time accurate optimal control of the gate is difficult to realize.
Referring to fig. 3, analyzing a plurality of test delay time lengths to obtain a standard test delay time length specifically includes:
Determining a detection level, wherein the value range of the detection level is 0.01-0.1;
based on the determined detection level and the total number of the test delay time, checking a corresponding abnormal critical value in a Grabbs table;
Calculating the average value of all the test delay time lengths and the standard deviation of all the test delay time lengths;
Constructing an anomaly determination inequality based on the average value of all the test delay time lengths, the standard deviation of all the test delay time lengths and the anomaly threshold value;
Judging whether the test delay time length meets an abnormal judgment inequality or not, if so, judging the test delay time length as an abnormal value, and if not, judging the test delay time length as a normal value;
removing all abnormal values to obtain standard test delay time length;
wherein, the anomaly determination inequality is specifically:
In the method, in the process of the invention, For the first test delay duration,/>For the average of all test delay durations,/>For the standard value of all test delay time length,/>Is an anomaly threshold value.
It can be understood that, for the communication test process, an emergency situation occasionally occurs, so that abnormal increase of communication delay occurs, and further abnormal values are generated, the abnormal values are not standard communication results of the gate in normal regulation and control communication, and cannot represent the standard communication state of the gate.
Referring to fig. 4, predicting, based on water level height information in the water conservancy system, a gate opening and closing degree of each gate at a time corresponding to a next analysis duration specifically includes:
collecting at least one continuous change curve of the water level height in the water conservancy system along with the time change, and summarizing all the continuous change curves into a water level height curve;
Taking the current moment as a moment datum point, acquiring a plurality of sample moment points on a water level height curve according to the analysis duration of the gate as intervals, and determining the water level height of the sample moment points;
Sequentially numbering a plurality of sample time points according to the distance between the sample time points and the time reference points;
Predicting the water level height in the water conservancy system at the moment corresponding to the next analysis time length through a water level prediction formula, and marking the water level height as the predicted water level height;
Determining the opening and closing degree of the gate at the moment corresponding to the next analysis duration based on the predicted water level height;
the water level prediction formula specifically comprises:
In the method, in the process of the invention, To predict the water level,/>The water level height at the sample time corresponding to the number j is given, m is the total number of sample time points, and the sample time point with the number m is the time reference point.
It can be understood that the water level change in the water conservancy system is performed according to the linear change trend within a certain time, based on the water level change in the water conservancy system, the water level prediction formula is adopted in the scheme to calculate the water level height of the water conservancy system at the moment corresponding to the next analysis time, the gate opening and closing degree of the gate at the moment corresponding to the next analysis time is determined based on the water level height, and the control signal is generated, so that the analysis time of the gate is the standard maximum delay time in the gate regulation communication process, the moment of the regulation signal received by the gate can be ensured to be earlier than or equal to the moment of executing the regulation action, and further the gate can be ensured to be opened and closed in an adapting mode according to the water level data corresponding to the time.
Further, referring to fig. 5, based on the same inventive concept as the intelligent control method of the gate based on the water conservancy monitoring data, the present disclosure further provides an intelligent control system of the gate based on the water conservancy monitoring data, including:
The gate operation test module is used for acquiring operation data of all gates in the water conservancy system, determining analysis duration of each gate in the water conservancy system based on the operation data, and forming a gate analysis duration matrix from the analysis duration of all gates;
the water level monitoring module is used for monitoring water level height information in the water conservancy system in real time;
The water level analysis module is electrically connected with the water level monitoring module and the gate operation testing module, and is used for predicting the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration based on the water level height information in the water conservancy system, and the gate opening and closing degree is recorded as gate regulation and control opening and closing degree;
The signal generation module is electrically connected with the water level analysis module and the gate operation test module, and is used for generating gate regulation signals based on the gate regulation opening and closing degree, and summarizing all the gate regulation signals to form a gate regulation signal matrix;
the central control terminal is electrically connected with the signal generation module and is used for sending gate control signals to each gate in the water conservancy system according to the gate control signal matrix to control the gate to control the opening and closing degree.
The gate operation test module includes:
the communication test unit is used for carrying out communication tests on all gates in the water conservancy system for a plurality of times to obtain a plurality of test delay time lengths;
The abnormality analysis unit is used for analyzing a plurality of test delay time lengths to obtain standard test delay time lengths;
The time length calculation unit is used for screening out data with the largest occurrence number in the standard test time delay time length as the most frequent time length, screening out data with the largest standard test time delay time length as the worst time length, screening out data with the smallest standard test time delay time length as the optimal time length, and calculating the analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length.
The water level analysis module includes:
The curve generation unit is used for collecting at least one continuous change curve of the water level height in the water conservancy system along with the change of time, and summarizing all the continuous change curves into one water level height curve;
the time determining unit is used for obtaining a plurality of sample time points on the water level height curve according to the analysis time length of the gate as intervals by taking the current time as a time reference point and determining the water level height of the sample time points;
The analysis and calculation unit is used for numbering a plurality of sample time points according to the distance from the time reference point to the time reference point in sequence, predicting the water level height in the water conservancy system at the time corresponding to the next analysis time length through a water level prediction formula, marking the water level height as the predicted water level height, and determining the gate opening and closing degree of the gate at the time corresponding to the next analysis time length based on the predicted water level height.
The gate intelligent control system based on water conservancy monitoring data comprises the following using processes:
Step one: the communication test module performs communication tests on all gates in the water conservancy system for a plurality of times to obtain a plurality of test delay time lengths;
Step two: the anomaly analysis unit analyzes the test delay time lengths to obtain standard test delay time lengths;
Step three: the time length calculation unit screens out the data with the largest occurrence number in the standard test time delay time length as the most frequent time length, screens out the data with the largest standard test time delay time length as the worst time length, screens out the data with the smallest standard test time delay time length as the optimal time length, and calculates the analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length;
Step four: the water level monitoring module monitors water level height information in the water conservancy system in real time;
Step five: the curve generating unit collects at least one continuous change curve of the water level height in the water conservancy system along with the time, and gathers all the continuous change curves into a water level height curve;
step six: the time determining unit takes the current time as a time datum point, acquires a plurality of sample time points on a water level height curve according to the analysis time length of the gate as intervals, and determines the water level height of the sample time points;
Step seven: the analysis and calculation unit sequentially numbers a plurality of sample time points according to the distance from the time reference point, predicts the water level height in the water conservancy system at the time corresponding to the next analysis time length through a water level prediction formula, marks the water level height as a predicted water level height, and determines the gate opening and closing degree of the gate at the time corresponding to the next analysis time length based on the predicted water level height;
step eight: the signal generation module generates gate regulation signals based on the gate regulation opening and closing degree, and gathers all the gate regulation signals to form a gate regulation signal matrix;
Step nine: the central control terminal sends gate control signals to each gate in the water conservancy system according to the gate control signal matrix, and the gate control opening and closing degree is controlled.
In summary, the invention has the advantages that: the regulation delay of the gate is greatly shortened, the opening and closing accuracy of the gate during regulation is guaranteed, and further accurate control of the gate of the water conservancy system is achieved, and further the water conservancy system can effectively achieve a preset regulation effect.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. The intelligent gate control method based on water conservancy monitoring data is characterized by comprising the following steps of:
acquiring operation data of all gates in the water conservancy system, and determining analysis duration of each gate in the water conservancy system based on the operation data;
the analysis duration of all gates is formed into a gate analysis duration matrix A, Wherein/>For the analysis duration of the ith gate in the water conservancy system,/>The total number of gates in the water conservancy system;
The water level information in the water conservancy system is monitored in real time, and the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration is predicted based on the water level information in the water conservancy system and is recorded as the gate regulation and control opening and closing degree;
generating gate regulation signals based on the gate regulation opening and closing degree, summarizing all the gate regulation signals to form a gate regulation signal matrix B, Wherein/>A gate regulation signal of an ith gate in the water conservancy system;
the central control terminal sends gate control signals to each gate in the water conservancy system according to the gate control signal matrix, and controls the gate to control the opening and closing degree;
the method for acquiring the operation data of all gates in the water conservancy system and determining the analysis duration of each gate in the water conservancy system based on the operation data specifically comprises the following steps:
performing communication tests for a plurality of times on all gates in the water conservancy system to obtain a plurality of test delay time lengths;
analyzing a plurality of test delay time lengths to obtain a standard test delay time length;
screening out the data with the largest occurrence number in the standard test delay time as the most frequent time, screening out the data with the largest standard test delay time as the worst time, and screening out the data with the smallest standard test delay time as the optimal time;
calculating analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length;
the delay time formula specifically comprises the following steps:
In the method, in the process of the invention, For analysis duration of gate,/>For the average value of all standard test delay time lengths corresponding to the gate,/>For the most frequent duration of the gate,/>For the worst duration corresponding to the gate,/>The optimal time length corresponding to the gate.
2. The intelligent gate control method based on water conservancy monitoring data according to claim 1, wherein the communication test specifically comprises the following steps:
And sending a communication test message to the gate, waiting for the gate to return a contracted test feedback message, and recording the time from sending the communication test message to receiving the test feedback message as the corresponding test delay time of the communication test.
3. The intelligent gate control method based on water conservancy monitoring data according to claim 1, wherein the analyzing the plurality of test delay time lengths to obtain the standard test delay time length specifically comprises:
determining a detection level, wherein the value range of the detection level is 0.01-0.1;
based on the determined detection level and the total number of the test delay time, checking a corresponding abnormal critical value in a Grabbs table;
Calculating the average value of all the test delay time lengths and the standard deviation of all the test delay time lengths;
Constructing an anomaly determination inequality based on the average value of all the test delay time lengths, the standard deviation of all the test delay time lengths and the anomaly threshold value;
Judging whether the test delay time length meets an abnormal judgment inequality or not, if so, judging the test delay time length as an abnormal value, and if not, judging the test delay time length as a normal value;
removing all abnormal values to obtain standard test delay time length;
wherein the abnormality determination inequality is specifically:
In the method, in the process of the invention, For the first test delay duration,/>For the average of all test delay durations,/>For the standard value of all test delay time length,/>Is an anomaly threshold value.
4. The intelligent control method for gates based on water conservancy monitoring data according to claim 3, wherein predicting the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration based on the water level height information in the water conservancy system specifically comprises:
collecting at least one continuous change curve of the water level height in the water conservancy system along with the time change, and summarizing all the continuous change curves into a water level height curve;
Taking the current moment as a moment datum point, acquiring a plurality of sample moment points on a water level height curve according to the analysis duration of the gate as intervals, and determining the water level height of the sample moment points;
Sequentially numbering a plurality of sample time points according to the distance between the sample time points and the time reference points;
Predicting the water level height in the water conservancy system at the moment corresponding to the next analysis time length through a water level prediction formula, and marking the water level height as the predicted water level height;
Determining the opening and closing degree of the gate at the moment corresponding to the next analysis duration based on the predicted water level height;
the water level prediction formula specifically comprises the following steps:
In the method, in the process of the invention, To predict the water level,/>The water level height at the sample time corresponding to the number j is given, m is the total number of sample time points, and the sample time point with the number m is the time reference point.
5. The intelligent control method for the gate based on the water conservancy monitoring data according to claim 4, wherein the gate control signal comprises gate control time point information and gate opening and closing degree information corresponding to the gate control time point;
the gate regulation time point is the time corresponding to the next analysis duration.
6. A gate intelligent control system based on water conservancy monitoring data, which is used for realizing the gate intelligent control method based on water conservancy monitoring data as set forth in any one of claims 1 to 5, comprising:
the gate operation test module is used for acquiring operation data of all gates in the water conservancy system, determining analysis duration of each gate in the water conservancy system based on the operation data, and forming a gate analysis duration matrix from the analysis duration of all gates;
the water level monitoring module is used for monitoring water level height information in the water conservancy system in real time;
The water level analysis module is electrically connected with the water level monitoring module and the gate operation testing module, and is used for predicting the gate opening and closing degree of each gate at the moment corresponding to the next analysis duration based on the water level height information in the water conservancy system, and recording the gate opening and closing degree as gate regulation and control degree;
the signal generation module is electrically connected with the water level analysis module and the gate operation test module, and is used for generating gate regulation signals based on the gate regulation opening and closing degree, and summarizing all the gate regulation signals to form a gate regulation signal matrix;
The central control terminal is electrically connected with the signal generation module and is used for sending gate control signals to each gate in the water conservancy system according to the gate control signal matrix to control the gate to control the opening and closing degree.
7. The intelligent control system of a gate based on water conservancy monitoring data according to claim 6, wherein the gate operation test module comprises:
The communication test unit is used for carrying out communication tests on all gates in the water conservancy system for a plurality of times to obtain a plurality of test delay time lengths;
The abnormality analysis unit is used for analyzing a plurality of test delay time lengths to obtain standard test delay time lengths;
The time length calculation unit is used for screening out data with the largest occurrence number in the standard test time delay time length as the most frequent time length, screening out data with the largest standard test time delay time length as the worst time length, screening out data with the smallest standard test time delay time length as the optimal time length, and calculating the analysis time length of the gate through a time delay time length formula based on the most frequent time length, the worst time length and the optimal time length.
8. The intelligent gate control system based on water conservancy monitoring data set forth in claim 6, wherein the water level analysis module comprises:
The curve generation unit is used for collecting at least one continuous change curve of the water level height in the water conservancy system along with the change of time, and summarizing all the continuous change curves into one water level height curve;
The time determining unit is used for obtaining a plurality of sample time points on the water level height curve according to the analysis time length of the gate as intervals by taking the current time as a time reference point and determining the water level height of the sample time points;
The analysis and calculation unit is used for numbering a plurality of sample time points according to the distance from the time reference point to the time reference point in sequence, predicting the water level height in the water conservancy system at the time corresponding to the next analysis time length through a water level prediction formula, marking the water level height as the predicted water level height, and determining the gate opening and closing degree of the gate at the time corresponding to the next analysis time length based on the predicted water level height.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004293199A (en) * 2003-03-27 2004-10-21 Jfe Engineering Kk Method for controlling water level and method for supporting control of water level
JP2005180133A (en) * 2003-12-24 2005-07-07 Chugoku Electric Power Co Inc:The Dam gate automatic controller
KR100921749B1 (en) * 2009-06-30 2009-10-15 주식회사 대영 Remote control system for flood control
JP2013078179A (en) * 2011-09-29 2013-04-25 Toshiba Corp Hydraulic power plant monitoring controller
CN212155979U (en) * 2020-04-27 2020-12-15 山西博科慧通科技有限公司 Intelligent gate valve for irrigation area
CN112731981A (en) * 2020-02-25 2021-04-30 西安航天自动化股份有限公司 Automatic remote control system of water sluicegate
KR102277997B1 (en) * 2021-03-08 2021-07-14 안종범 Hydraulic lift gate remote control system for smart flood management
CN113820976A (en) * 2021-08-30 2021-12-21 长江勘测规划设计研究有限责任公司 Gate intelligent control method based on artificial intelligence
KR102429538B1 (en) * 2021-08-17 2022-08-04 주식회사 태원시스템 Apparatus and method for controlling floodgate
CN117252383A (en) * 2023-10-11 2023-12-19 贵州黔源电力股份有限公司 Flood discharge gate running state monitoring method, system, electronic equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6535387B2 (en) * 2015-04-15 2019-06-26 ノキア ソリューションズ アンド ネットワークス オサケユキチュア Self-organizing network concept for small cell backhaul
CN111474965B (en) * 2020-04-02 2021-10-26 中国水利水电科学研究院 Fuzzy neural network-based method for predicting and controlling water level of series water delivery channel

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004293199A (en) * 2003-03-27 2004-10-21 Jfe Engineering Kk Method for controlling water level and method for supporting control of water level
JP2005180133A (en) * 2003-12-24 2005-07-07 Chugoku Electric Power Co Inc:The Dam gate automatic controller
KR100921749B1 (en) * 2009-06-30 2009-10-15 주식회사 대영 Remote control system for flood control
JP2013078179A (en) * 2011-09-29 2013-04-25 Toshiba Corp Hydraulic power plant monitoring controller
CN112731981A (en) * 2020-02-25 2021-04-30 西安航天自动化股份有限公司 Automatic remote control system of water sluicegate
CN212155979U (en) * 2020-04-27 2020-12-15 山西博科慧通科技有限公司 Intelligent gate valve for irrigation area
KR102277997B1 (en) * 2021-03-08 2021-07-14 안종범 Hydraulic lift gate remote control system for smart flood management
KR102429538B1 (en) * 2021-08-17 2022-08-04 주식회사 태원시스템 Apparatus and method for controlling floodgate
CN113820976A (en) * 2021-08-30 2021-12-21 长江勘测规划设计研究有限责任公司 Gate intelligent control method based on artificial intelligence
CN117252383A (en) * 2023-10-11 2023-12-19 贵州黔源电力股份有限公司 Flood discharge gate running state monitoring method, system, electronic equipment and storage medium

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Narender Hanchate.Integrated Gate and Wire Sizing at Post Layout Level.《IEEE Computer Society Annual Symposium on VLSI (ISVLSI '07)》.2007,全文. *
一种云服务模式下测控一体化农田小型水闸的研发;包志炎;中国农村水利水电;20180215(第02期);全文 *
基于混沌理论的平板闸门流激振动特性;罗贝尔;振动.测试与诊断;20160215(第01期);全文 *
基于混沌理论的弧形闸门流激振动特性分析;杨佼佼;《中国优秀硕士学位论文电子全文库 工程科技Ⅱ辑》;20220115;全文 *
网带式格栅机在卷烟厂污水处理的应用研究;邵浩;设备管理与维修;20200806(第15期);全文 *
高水头弧形闸门突扩跌坎及掺气设施体型研究与工程实践;王才欢;水力发电学报;20121025(第05期);全文 *

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