An intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers

Abstract

The present invention discloses an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, which relates to the technical field of intelligent control of gate facilities. The method comprises: collecting raw sensor data, pre-processing the raw sensor data for accuracy and unit conversion; performing data verification processing on the pre-processed data, outputting a credible minute-long pre-gate water level and a credible minute-long post-gate water level, and calculating the flow rate through the gate; analyzing the real-time output water level and flow rate through the gate according to a preset overflow plan and water level warning algorithm to control the gate control equipment at the gate point to automatically guard the gate; and setting an edge gate control protection algorithm to protect the gate facilities under automatic guard. The present invention ensures the credibility of the data, realizes the marginalization of computing power, self-closes the business edge, reduces network dependence, and can be flexibly applied to application environments with large differences in the number of gates and control lines in irrigation areas and small and medium-sized rivers.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of gate facilities, and more particularly to an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers. Background Art

[0002] Irrigation district informatization is an important part of agricultural modernization. In recent years, the construction of irrigation district informatization has also made significant progress. However, this part of the progress is mainly concentrated in sensing and monitoring facilities, communication networks, and cloud information systems and application platforms. It has reached a known level. However, the progress of gate control informatization is relatively slow. At present, most irrigation districts still rely on manual labor to go to the site to open the gate for irrigation regularly according to the irrigation plan.

[0003] At present, the SCADA system generally used in gate control informationization is mainly used in large-scale water conservancy projects and smart water management scenarios. Due to its high cost, high deployment environment requirements, and poor operation and maintenance expansion capabilities, it is rarely used in irrigation areas and small and medium-sized rivers. It has the following disadvantages: (1) The core control device has a low level of intelligence and strong network dependence: In the traditional gate control system built based on the SCADA system, the core control device (PLC) mainly focuses on logical control and lacks the ability to deeply analyze and process the collected data, making it difficult to achieve intelligent scheduling and optimization. To achieve intelligent control, the site's local automation control system (RTU+PLC+IO control module) and the central monitoring system of the central computer room need to work together. Business decisions are made by relying on the central monitoring system, and then the network communication scheduling automation control system is used to complete business control. Once the network between the site and the central computer room fails, the communication between the gate station and the central computer room will be interrupted, and the intelligent control will not be effective. For example, during the flood season, there is a high probability of network failures at remote sluice stations. When network failures occur, accurate flow scheduling through these stations is difficult (personnel can only go to the site to use the automated control system to open and close the sluices, and the opening cannot be accurately controlled, nor can the flow through the sluices be known. The handling is not timely and the safety of personnel is worrying), which brings great inconvenience to flood control work. (2) Poor scalability, complex troubleshooting, and extremely high installation, deployment, and business operation and maintenance costs: The core control device (PLC) of the traditional gate control system built on the SCADA system needs to be programmed with a logic control program (PLC programming) according to the situation of the control circuit. It is difficult to flexibly cope with the situation where the number of gates and control lines in irrigation areas and small and medium-sized rivers are very different. The installation and deployment are difficult and require high professionalism of personnel. The troubleshooting, functional requirements, or changes in control lines of the traditional PLC system require on-site operation by professionals, which has high learning costs, slow response speed, high equipment operation and maintenance costs, and great difficulty. (3) The core control device has poor environmental adaptability and high equipment operation and maintenance costs: The gate stations of small and medium-sized rivers and irrigation areas are generally located in the wild, with complex environmental conditions (such as high temperature, humidity, dust, etc.). The core control device (PLC) of the traditional gate control system built on the SCADA system generally has a low protection level. In these scenarios, the failure rate is high and the durability is also worrying, which greatly increases the equipment operation and maintenance costs.

[0004] Therefore, how to propose an intelligent control method for irrigation district and small and medium-sized river gate facilities to avoid the high cost of traditional core control devices, high deployment environment requirements, low protection level under complex environmental conditions, and overcome the large differences in the number of irrigation district and small and medium-sized river gates and control lines, the difficulty in flexible installation and deployment, and the low intelligence level and strong network dependence of the core control devices are problems that technical personnel in this field urgently need to solve. Summary of the Invention

[0005] In view of this, the present invention provides an intelligent control method for irrigation district and small and medium-sized river gate facilities, ensuring data credibility, achieving edge computing power, self-closing the business edge, reducing network dependence, and flexibly applicable to application environments with large differences in the number of gates and control lines in irrigation districts and small and medium-sized rivers. To achieve the above objectives, the present invention adopts the following technical solutions:

[0006] An intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, comprising:

[0007] Collect raw sensor data and perform precision and unit conversion preprocessing on the raw sensor data;

[0008] Perform data verification on the pre-processed data, output the reliable minute-long water level before the gate and the reliable minute-long water level after the gate, and calculate the flow rate through the gate;

[0009] Analyze the real-time output water level and flow rate according to the preset overflow plan and water level warning algorithm to control the gate control equipment at the gate point to automatically guard the gate;

[0010] Set the edge gate protection algorithm to protect the gate facilities under automatic guard.

[0011] Optionally, the collecting of raw sensor data and performing precision and unit conversion preprocessing on the raw sensor data includes:

[0012] Using the same acquisition program, data acquisition tasks can be dynamically configured with zero code through the configuration page built into the core control program according to the communication protocol of the connected device to collect data from different sensor devices.

[0013] According to the relationship between the number of turns and single turn data of the gate encoder and the actual gate opening, the collected information of the gate encoder is automatically converted into the real-time gate opening;

[0014] The core control program provides gate opening conversion and calibration interaction, and calibrates the conversion program through the measured gate opening.

[0015] Optionally, the gate control device at the gate point includes a gate status indicator light and a gate control contact, and the gate control device at the gate point is controlled by a host computer.

[0016] Optionally, it also includes: connecting the gate status indicator lights and gate control contacts of the gate station through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device;

[0017] The OpenHarmony edge all-in-one device automatically scans and discovers the OpenHarmony IO expansion module, dynamically forming a gate control device.

[0018] Optionally, the OpenHarmony IO expansion module automatically generates a single-gate gate control twin object according to its own IO connection status and publishes it to the OpenHarmony distributed soft bus network; the OpenHarmony edge all-in-one machine automatically discovers and connects the single-gate gate control twin object through the distributed soft bus, and combines the collection task status of its own data collection module to form a gate point gate control device that integrates sensing and gate control capabilities consistent with the gate station equipment.

[0019] Optionally, performing data verification processing on the pre-processed data and outputting a reliable minute-pre-gate water level and a reliable minute-post-gate water level includes:

[0020] According to the set data verification cycle, the trigger time point is automatically divided and the sample data acquisition strategy is adopted when the verification is triggered;

[0021] Perform a sign test on the data sample and exclude data with significant median differences and non-normal data in the data sample;

[0022] Use the residual analysis method to conduct a linear test on the data sample and exclude nonlinear data in the data sample;

[0023] The independent sample T test method is used to conduct a deviation test on the data sample and eliminate the obviously deviant data in the data sample.

[0024] Optionally, the calculating of the flow rate through the gate includes:

[0025] Interactive configuration of hydraulic structure parameters at sluice stations is available to accommodate the situation where the number of gate openings, gate width, and sill types of sluice stations in irrigation areas and small and medium-sized rivers are not uniform;

[0026] Based on the parameter configuration of the hydraulic structures at the sluice station, the flow prediction algorithm is calibrated through the measured flow, and the flow through the sluice is estimated.

[0027] Optionally, the automatic guarding of the gate control device at the control gate point includes:

[0028] Upon receiving the preset opening instruction, the gate is controlled to be raised or lowered, and real-time opening monitoring is added. When the real-time opening reaches the preset opening, the gate is controlled to stop and the operation is completed;

[0029] Upon receiving the preset flow command, the gate opening height is automatically calculated based on the preset target flow and the real-time water level. The gate is then controlled to be raised or lowered, and the gate is preset to the corresponding height. When the real-time flow rate reaches the preset value, the gate is controlled to be lowered.

[0030] According to the set flow plan, the gate is controlled to lift and discharge the flow at a fixed time, and the accumulated flow is monitored in real time. When the accumulated flow reaches the planned threshold, the gate is controlled to close.

[0031] Monitor the water level in front of the minute gate in real time. When it reaches the set water level threshold, control the gate to lift the gate to allow flow. Monitor the accumulated flow in real time. When the accumulated flow reaches the set threshold and / or the water level in front of the minute gate reaches the preset safe water level and / or the water level behind the minute gate reaches the safe water level, control the gate to close.

[0032] Optionally, the setting of the edge gate protection algorithm to protect the gate facilities under automatic guard includes:

[0033] Speed protection is provided for the gate lifting and lowering process. If the gate opening height change per unit time is detected to exceed the upper and lower limits of the gate opening speed during the gate lifting and lowering process, the gate will be stopped and locked, and all control operations will be rejected. Contact locking interaction will be provided. After on-site maintenance and restoration of the electromechanical circuit, the lock will be released after the indicator light status returns to normal.

[0034] The gate is protected by logical limit, and the gate opening and gate indication status are monitored in real time. When the gate is stopped, if the real-time opening is ≥ the set maximum opening height, all gate raising instructions will be rejected; when the gate is stopped, if the real-time opening is ≤ the minimum opening height, all gate lowering instructions will be rejected; during the gate raising and lowering process, if the real-time opening height exceeds the upper and lower limit range of the gate, the gate will be stopped;

[0035] The gate is interlocked for lifting and lowering, and the gate indication status is monitored in real time. During the gate lifting and lowering process, all lifting and lowering instructions are rejected.

[0036] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, which has the following beneficial effects:

[0037] The present invention proposes an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, including: collecting raw sensor data, pre-processing the raw sensor data for accuracy and unit conversion; performing data verification processing on the pre-processed data, outputting a reliable minute-long pre-gate water level and a reliable minute-long post-gate water level, and calculating the flow rate through the gate; analyzing the real-time output water level and flow rate through the gate according to a preset overflow plan and water level warning algorithm to control the automatic duty of the gate control equipment at the gate point; and setting an edge gate control protection algorithm to protect the gate facilities under automatic duty. The method has the following beneficial effects:

[0038] (1) Traditional control methods require the use of an opening meter to convert gate encoder data into gate opening data, the acquisition of gate station sensor data through an RS485 communication module, edge automation control through a PLC host, and data reporting and remote control through a remote terminal unit (RTU). The control method of the present invention can complete data acquisition, data preprocessing, edge automation control, data reporting, and remote control through the core control device OpenHarmony edge all-in-one machine;

[0039] (2) Traditional gate control schemes do not process the water level sensor data of the gate station. Real-time water level data and minute water level data directly use the original collected data at the corresponding time. The original collected data will have data fluctuations (sensor factors or environmental influences). When data fluctuations occur, the original collected data will be significantly different from the real digital data. When the business system uses this data for business calculations (such as flow calculations, intelligent scheduling of large water conservancy models, etc.), the business effect will have large errors. The present invention introduces a data verification algorithm that is generally used for hydrological business systems and water business systems to clean water level data, performs data verification on the original pre- and post-gate water level data of the gate station, and then uses the arithmetic mean of the data samples that pass the verification as the minute pre- and post-gate water level data for business use, ensuring the credibility of the data;

[0040] (3) Computing power is edge-based, and the business edge is self-closed, minimizing network dependence: Through the computing power of the OpenHarmony edge all-in-one machine, the data analysis business of the central supervision system is moved down, and combined with the edge center's own data collection capabilities, the intelligent gate control business edge is self-closed. It is only necessary to set the flow threshold and gate opening height preset in the edge center control system in advance when the network is unobstructed (before the flood season). Because data verification and station flow calculation can be completed in the edge center, even if the flood season affects the edge center and the cloud control center network terminal, the edge center can also complete the intelligent control of the gate according to the set flow threshold and gate opening height preset, without the need for personnel to be present, thus ensuring personnel safety;

[0041] (4) OpenHarmony distributed soft bus, hardware capability virtualization, self-discovery and self-networking: The core control device (PLC) of the traditional gate control system built on the SCADA system requires the programming of the logic control program (PLC programming) according to the control circuit conditions, which makes it difficult to flexibly cope with the situation where the number of gates and control lines in irrigation areas and small and medium-sized rivers vary greatly. The core control device edge all-in-one machine and IO expansion module described in the present invention both use the OpenHarmony operating system. Through the distributed soft bus capabilities of OpenHarmony, self-discovery and self-networking are achieved, and a single program can be compatible with different numbers of gates and different control lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 This is a flow chart of an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers provided by the present invention.

[0044] Figure 2 This is a schematic diagram of the framework of an intelligent control method for irrigation area and small and medium-sized river gate facilities provided by the present invention.

[0045] Figure 3 This is a schematic diagram of the framework of the traditional SCADA system gate control method provided by the present invention.

[0046] Figure 4 This is a flow chart of an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers provided by the present invention.

[0047] Figure 5 This is a data verification flow chart provided by the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0049] The embodiment of the present invention discloses an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, such as Figure 1 As shown, including:

[0050] Collect raw sensor data and perform precision and unit conversion preprocessing on the raw sensor data;

[0051] Perform data verification on the pre-processed data, output the reliable minute-long water level before the gate and the reliable minute-long water level after the gate, and calculate the flow rate through the gate;

[0052] Analyze the real-time output water level and flow rate according to the preset overflow plan and water level warning algorithm to control the gate control equipment at the gate point to automatically guard the gate;

[0053] Set the edge gate protection algorithm to protect the gate facilities under automatic guard.

[0054] Furthermore, the collecting of raw sensor data and performing precision and unit conversion preprocessing on the raw sensor data includes:

[0055] Using the same acquisition program, data acquisition tasks can be dynamically configured with zero code through the configuration page built into the core control program according to the communication protocol of the connected device to collect data from different sensor devices.

[0056] According to the relationship between the number of turns and single turn data of the gate encoder and the actual gate opening, the collected information of the gate encoder is automatically converted into the real-time gate opening;

[0057] The core control program provides gate opening conversion and calibration interaction, and calibrates the conversion program through the measured gate opening.

[0058] Furthermore, the gate control device at the gate point includes a gate status indicator light and a gate control contact, and the gate control device at the gate point is controlled by a host computer.

[0059] Furthermore, it also includes: connecting the gate status indicator lights and gate control contacts of the gate station through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device;

[0060] The OpenHarmony edge all-in-one device automatically scans and discovers the OpenHarmony IO expansion module, dynamically forming a gate control device.

[0061] Furthermore, it also includes: connecting to the cloud control center / local control center platform to report site data and monitor control instructions.

[0062] Furthermore, the OpenHarmony IO expansion module automatically generates a single-gate gate control twin object according to its own IO connection status and publishes it to the OpenHarmony distributed soft bus network; the OpenHarmony edge all-in-one machine automatically discovers and connects the single-gate gate control twin object through the distributed soft bus, and combines the collection task status of its own data collection module to form a gate point gate control device that integrates sensing and gate control capabilities consistent with the gate station equipment.

[0063] Furthermore, the data after preprocessing is subjected to data verification processing, and outputting a reliable minute-long pre-gate water level and a reliable minute-long post-gate water level includes:

[0064] According to the set data verification cycle, the trigger time point is automatically divided and the sample data acquisition strategy is adopted when the verification is triggered;

[0065] Perform a sign test on the data sample and exclude data with significant median differences and non-normal data in the data sample;

[0066] Use the residual analysis method to conduct a linear test on the data sample and exclude nonlinear data in the data sample;

[0067] The independent sample T test method is used to conduct a deviation test on the data sample and eliminate the obviously deviant data in the data sample.

[0068] Furthermore, the calculation of the flow rate through the gate includes:

[0069] Interactive configuration of hydraulic structure parameters at sluice stations is available to accommodate the situation where the number of gate openings, gate width, and sill types of sluice stations in irrigation areas and small and medium-sized rivers are not uniform;

[0070] Based on the parameter configuration of the hydraulic structures at the sluice station, the flow prediction algorithm is calibrated through the measured flow, and the flow through the sluice is estimated.

[0071] Furthermore, the automatic guarding of the gate control equipment at the control gate point includes:

[0072] Upon receiving the preset opening instruction, the gate is controlled to be raised or lowered, and real-time opening monitoring is added. When the real-time opening reaches the preset opening, the gate is controlled to stop and the operation is completed;

[0073] Upon receiving the preset flow command, the gate opening height is automatically calculated based on the preset target flow and the real-time water level. The gate is then controlled to be raised or lowered, and the gate is preset to the corresponding height. When the real-time flow rate reaches the preset value, the gate is controlled to be lowered.

[0074] According to the set flow plan, the gate is controlled to lift and discharge the flow at a fixed time, and the accumulated flow is monitored in real time. When the accumulated flow reaches the planned threshold, the gate is controlled to close.

[0075] Monitor the water level in front of the minute gate in real time. When it reaches the set water level threshold, control the gate to lift the gate to allow flow. Monitor the accumulated flow in real time. When the accumulated flow reaches the set threshold and / or the water level in front of the minute gate reaches the preset safe water level and / or the water level behind the minute gate reaches the safe water level, control the gate to close.

[0076] Furthermore, the setting of the edge gate protection algorithm to protect the gate facilities under automatic guard includes:

[0077] Speed protection is provided for the gate lifting and lowering process. If the gate opening height change per unit time is detected to exceed the upper and lower limits of the gate opening speed during the gate lifting and lowering process, the gate will be stopped and locked, and all control operations will be rejected. Contact locking interaction will be provided. After on-site maintenance and restoration of the electromechanical circuit, the lock will be released after the indicator light status returns to normal.

[0078] The gate is protected by logical limit, and the gate opening and gate indication status are monitored in real time. When the gate is stopped, if the real-time opening is ≥ the set maximum opening height, all gate raising instructions will be rejected; when the gate is stopped, if the real-time opening is ≤ the minimum opening height, all gate lowering instructions will be rejected; during the gate raising and lowering process, if the real-time opening height exceeds the upper and lower limit range of the gate, the gate will be stopped;

[0079] The gate is interlocked for lifting and lowering, and the gate indication status is monitored in real time. During the gate lifting and lowering process, all lifting and lowering instructions are rejected.

[0080] In a specific embodiment, a framework of an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers is provided. Figure 2 As shown, it includes: a central control system, a human-machine interaction page (HMI), a data acquisition system, an OpenHarmony edge all-in-one machine and a gate control system. The central control system is signal-connected to the OpenHarmony edge all-in-one machine and the gate control system. The OpenHarmony edge all-in-one machine and the gate control system are signal-connected to the human-machine interaction page (HMI), the data acquisition system and the gate control system respectively. The data acquisition system includes a post-gate level meter, a pre-gate level meter, an electric energy meter and a gate position encoder. The gate control system includes an OpenHarmony IO expansion module, a gate control circuit, a gate hoist and a gate. Compared with the traditional SCADA system gate control method framework diagram, as shown in FIG. Figure 3 As shown, the traditional control method requires the use of an opening meter to convert gate encoder data into gate opening data, the acquisition of gate station sensor data via an RS485 communication module, edge automation control via a PLC host, and data reporting and remote control via a remote terminal unit (RTU). This method is primarily used in large-scale water conservancy projects and smart water services. Due to its high cost, demanding deployment environment, and poor operational and maintenance scalability, it is less commonly used in irrigation districts and small and medium-sized rivers. The control method of the present invention utilizes the core control device, the OpenHarmony edge all-in-one, to complete data acquisition, data preprocessing, edge automation control, data reporting, and remote control. This method has low network dependency, high scalability, and a high degree of intelligence, significantly reducing the daily operational and maintenance costs of irrigation districts and small and medium-sized rivers.

[0081] In a specific embodiment, an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers is used to perform intelligent control and sensor information monitoring on gate facilities in irrigation areas and small and medium-sized rivers. The specific process is as follows: Figure 4 As shown, including:

[0082] Step 1: Connect the gate station sensor equipment through the RS485 serial port / network port of the core control device OpenHarmony edge all-in-one to collect raw sensor data. Then, use its built-in data processing module to perform precision conversion and unit conversion preprocessing on the raw sensor data.

[0083] Step 2: Connect the gate status indicator lights and gate control contacts of the gate station through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device;

[0084] Step 3: The OpenHarmony edge appliance automatically scans and discovers the OpenHarmony IO expansion module, dynamically forming a gate-point gate control super device;

[0085] Step 4: The data processing module built into the core control device, OpenHarmony edge all-in-one, performs data verification processing on the pre-processed pre-sluice water level data and post-sluice water level data, and outputs the reliable minute pre-sluice water level and reliable minute post-sluice water level;

[0086] Step 5: Calculate the gate flow rate through the data processing module built into the core control device, OpenHarmony edge all-in-one machine;

[0087] Step 6: The core control device, OpenHarmony Edge All-in-One, automatically turns on edge gating protection;

[0088] Step 7: Use the control terminal docking module built into the core control device OpenHarmony edge all-in-one to connect to the cloud control center / local control center platform to report site data and monitor control commands;

[0089] Step 8: The core control device, OpenHarmony edge all-in-one, automatically turns on the intelligent control function and automatically performs duty according to the preset overflow plan and water level warning.

[0090] In this embodiment, the OpenHarmony distributed soft bus is used to achieve hardware capability virtualization and self-discovery and self-networking. The core control device (PLC) of a traditional gate control system based on a SCADA system requires logic control programming (PLC programming) tailored to the specific control circuits, making it difficult to flexibly adapt to the large variations in the number of gates and control circuits in irrigation areas and small and medium-sized rivers. In this embodiment, the core control device, edge all-in-one, and IO expansion modules all use the OpenHarmony operating system. Leveraging OpenHarmony's distributed soft bus capabilities, self-discovery and self-networking are achieved, allowing a single program to accommodate varying numbers of gates and control circuits.

[0091] In a specific embodiment, the step 1 includes the following steps:

[0092] S11: Using the same acquisition program, according to the communication protocol of the connected device, through the configuration page built into the core control program, 0 code dynamically configures the data acquisition task to collect data from different sensor devices;

[0093] S12: According to the relationship between the number of turns and single turn data of the gate encoder and the actual gate opening, the collected information of the gate encoder is automatically converted into the real-time gate opening;

[0094] S13: The core control program provides gate opening conversion and calibration interaction, and the conversion program can be calibrated by measuring the gate opening.

[0095] In a specific embodiment, the step three includes the following steps:

[0096] S31: The OpenHarmony IO expansion module automatically generates a single-gate gate control twin object based on its own IO connection status and publishes it to the OpenHarmony distributed soft bus network;

[0097] S32: The OpenHarmony edge all-in-one machine automatically discovers and connects to single-gate gate control twin objects through a distributed soft bus, and combines the collection task status of its own data collection module to automatically form a gate station super device that integrates sensing and gate control capabilities that are completely consistent with the gate station equipment.

[0098] In a specific embodiment, Figure 5 As shown, the step 4 includes the following steps:

[0099] S41: Automatically divide the trigger time points (Ti to Tn) according to the set data verification period (P). When verifying the trigger, the sample data acquisition strategy (data in the time period P / 2 before and P / 2 after the trigger time point Ti) is followed.

[0100] S42: Perform a sign test on the data sample to exclude data with significant median differences and non-normal data;

[0101] S43: Use the residual analysis method to perform a linear test on the data sample and exclude nonlinear data in the data sample;

[0102] S44: Use the independent sample T test method to perform a deviation test on the data sample and eliminate the obviously deviant data in the data sample.

[0103] The embodiment of the present invention introduces a data verification algorithm generally used in hydrological business systems and water affairs business systems to clean water level data, performs data verification on the original water level data before and after the gate of the gate station, and then uses the arithmetic mean of the data samples that pass the verification as the minute water level data before and after the gate for business use, thereby ensuring the credibility of the data.

[0104] In a specific embodiment, the step five includes the following steps:

[0105] S51: The core control program provides interactive configuration of hydraulic structure parameters at sluice stations, and is compatible with sluice stations in irrigation areas and small and medium-sized rivers with different gate numbers, gate widths, and sill types.

[0106] S52: The core control program provides interactive calibration of the flow-pushing algorithm for hydraulic structures, and can calibrate the flow-pushing algorithm through measured flow.

[0107] In a specific embodiment, the step six includes the following steps:

[0108] S61: The core control program implements speed protection for the gate lifting and lowering process. During the gate lifting / lowering process, if the real-time "opening height change" of the gate in "unit time" exceeds the upper and lower limits of the gate opening speed (real-time speed ≥ maximum opening speed, real-time speed ≤ minimum opening speed), the gate will be immediately stopped and locked, all control operations will be rejected, and contact locking interaction will be provided. After personnel arrive at the site for maintenance and restore the electromechanical circuit, the lock will be released after the indicator light status returns to normal;

[0109] S62: The core control program performs logical limit protection on the gate, and monitors the gate opening and gate indication status in real time. When the gate is stopped, if the real-time opening ≥ the set maximum opening height, all gate raising commands will be rejected; when the gate is stopped, if the real-time opening ≤ the minimum opening height, all gate lowering commands will be rejected. During the gate raising and lowering process, if the real-time opening height exceeds the upper and lower limit range of the gate (real-time opening ≥ maximum opening height, real-time opening ≤ minimum opening height), the gate will be immediately stopped.

[0110] S63: The core control program performs gate lifting and lowering interlock protection, monitors the gate indication status in real time, and rejects all gate lifting and lowering commands during the gate lifting and lowering process;

[0111] In a specific embodiment, the step eight includes the following steps:

[0112] S81: The core control program receives the preset opening instruction, and the dispatching control unit controls the gate to be raised or lowered, and adds real-time opening monitoring. When the real-time opening reaches the preset opening, the dispatching control unit controls the gate to be stopped to complete the operation;

[0113] S82: The core control program receives the preset flow rate instruction and automatically calculates the gate opening height according to the preset target flow rate and the real-time water level. The dispatching control unit then controls the gate to be raised or lowered, sets the gate to the preset height, and waits for the real-time flow rate passing through the station to reach the preset value. The dispatching control unit then controls the gate to be lowered.

[0114] S83: The core control program schedules the control unit to control the gate to open and close according to the set flow plan, and monitors the real-time flow of the data analysis and calculation module in real time and accumulates the accumulated flow. When the accumulated flow reaches the planned threshold, the scheduling control unit controls the gate to close.

[0115] S84: The core control program monitors the minute water level before the gate of the data analysis and calculation module in real time. When it reaches the set water level threshold, the dispatching control unit controls the gate to lift the gate to allow flow according to the water level value, and monitors the real-time flow accumulation and cumulative flow of the data analysis and calculation module in real time. When the cumulative flow reaches the set threshold and / or the minute water level before the gate reaches the preset safe water level and / or the minute water level after the gate reaches the safe water level, the dispatching control unit controls the gate to close.

[0116] In this embodiment, computing power is edge-based, and the business edge is self-closed, minimizing network dependence: through the computing power of the OpenHarmony edge all-in-one machine, the data analysis business of the central supervision system is moved downward, and combined with the edge center's own data collection capabilities, the intelligent gate control business edge is self-closed. It is only necessary to set the flow threshold and gate opening height preset in the edge center control system in advance when the network is unobstructed (before the flood season). Because data verification and through-station flow calculation can be completed in the edge center, even if the flood season affects the edge center and the cloud control center network terminal, the edge center can also complete the intelligent control of the gate according to the set flow threshold and gate opening height preset, without the need for personnel to be present, thus ensuring personnel safety.

[0117] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0118] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, characterized in that: include: Collect raw sensor data and perform precision and unit conversion preprocessing on the raw sensor data; Perform data verification on the pre-processed data, output the reliable minute-long water level before the gate and the reliable minute-long water level after the gate, and calculate the flow rate through the gate; Analyze the real-time output water level and flow rate according to the preset overflow plan and water level warning algorithm to control the gate control equipment at the gate point to automatically guard the gate; The automatic guarding of the gate control equipment at the control gate point includes: Upon receiving the preset opening instruction, the gate is controlled to be raised or lowered, and real-time opening monitoring is added. When the real-time opening reaches the preset opening, the gate is controlled to stop and the operation is completed; Upon receiving the preset flow command, the gate opening height is automatically calculated based on the preset target flow and the real-time water level. The gate is then controlled to be raised or lowered, and the gate is preset to the corresponding height. When the real-time flow rate reaches the preset value, the gate is controlled to be lowered. According to the set flow plan, the gate is controlled to lift and discharge the flow at a fixed time, and the accumulated flow is monitored in real time. When the accumulated flow reaches the planned threshold, the gate is controlled to close. Monitor the water level in front of the minute gate in real time. When it reaches the set water level threshold, control the gate to lift the gate to allow flow. Monitor the accumulated flow in real time. When the accumulated flow reaches the set threshold and / or the water level in front of the minute gate reaches the preset safe water level and / or the water level behind the minute gate reaches the safe water level, control the gate to close. Set up edge gate protection algorithm to protect gate facilities under automatic guard; The edge gate protection algorithm is set to protect the gate facilities under automatic guard, including: Speed protection is provided for the gate lifting and lowering process. If the gate opening height change per unit time is detected to exceed the upper and lower limits of the gate opening speed during the gate lifting and lowering process, the gate will be stopped and locked, and all control operations will be rejected. Contact locking interaction will be provided. After on-site maintenance and restoration of the electromechanical circuit, the lock will be released after the indicator light status returns to normal. The gate is protected by logical limit, and the gate opening and gate indication status are monitored in real time. When the gate is stopped, if the real-time opening is ≥ the set maximum opening height, all gate raising instructions will be rejected; when the gate is stopped, if the real-time opening is ≤ the minimum opening height, all gate lowering instructions will be rejected; during the gate raising and lowering process, if the real-time opening height exceeds the upper and lower limit range of the gate, the gate will be stopped; The gate is interlocked for lifting and lowering, and the gate indication status is monitored in real time. During the gate lifting and lowering process, all lifting and lowering instructions are rejected.

2. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 1 is characterized in that: The collecting of raw sensor data and performing precision and unit conversion preprocessing on the raw sensor data includes: Using the same acquisition program, dynamically configure data acquisition tasks based on the communication protocol of the connected device through the configuration page built into the core control program to collect data from different sensor devices; According to the relationship between the number of turns of the gate encoder, single turn data and the actual gate opening, the collected information of the gate encoder is automatically converted into the real-time gate opening; The core control program provides gate opening conversion and calibration interaction, and calibrates the conversion program through the measured gate opening.

3. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 1 is characterized in that: The gate control device at the gate point includes a gate status indicator light and a gate control contact, and the gate control device at the gate point is controlled by a host computer.

4. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 3 is characterized in that: Also includes: Connect the gate status indicator lights and gate control contacts of the gate station through the DI and DO interfaces of the OpenHarmonyIO expansion module of the core control device; The OpenHarmony edge all-in-one device automatically scans and discovers the OpenHarmonyIO expansion module, dynamically forming a gate point control device.

5. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 4 is characterized in that: The OpenHarmonyIO extension module automatically generates a single-gate gate control twin object according to its own IO connection status and publishes it to the OpenHarmony distributed soft bus network; the OpenHarmony edge all-in-one machine automatically discovers and connects the single-gate gate control twin object through the distributed soft bus, and combines the collection task status of its own data collection module to form a gate point gate control device consistent with the gate station equipment status.

6. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 1 is characterized in that: The data verification processing is performed on the pre-processed data to output the reliable minute-pre-gate water level and the reliable minute-post-gate water level, which includes: According to the set data verification cycle, the trigger time point is automatically divided and the sample data acquisition strategy is adopted when the verification is triggered; Perform a sign test on the data sample and exclude data with significant median differences and non-normal data in the data sample; Use the residual analysis method to conduct a linear test on the data sample and exclude nonlinear data in the data sample; Use the independent sample T test method to perform a deviation test on the data sample and eliminate the deviant data in the data sample.

7. The intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers according to claim 1 is characterized in that: The gate flow rate calculation includes: Interactive configuration of hydraulic structure parameters at sluice stations is available to accommodate the situation where the number of gate openings, gate width, and sill types of sluice stations in irrigation areas and small and medium-sized rivers are not uniform; Based on the parameter configuration of the hydraulic structures at the sluice station, the flow prediction algorithm is calibrated through the measured flow, and the flow through the sluice is estimated.

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