Intelligent control method for gate facilities of irrigated areas and medium and small rivers

Abstract

The invention discloses an irrigation area and medium and small river gate facility intelligent control method, and relates to the technical field of gate facility intelligent control, and the method comprises the steps: collecting original sensing data, and carrying out the precision and unit conversion preprocessing of the original sensing data; carrying out data inspection processing on the preprocessed data, outputting a water level before a credible minute gate and a water level after the credible minute gate, and carrying out lockage flow calculation; the real-time output water level and the lockage flow are analyzed according to a preset overflowing plan and a water level early warning algorithm so as to control the gate point gate control equipment to be automatically on duty; and setting an edge gate control protection algorithm to protect gate facilities under automatic guarding. According to the method, the confidence degree of data is ensured, marginalization of computing power and self-closed loop of a service edge are realized, network dependence is reduced, and the method can be flexibly applied to an application environment in which the number of gates in irrigation areas and small and medium-sized rivers and control circuits are greatly different.

Description

Technical Field

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

[0002] The informatization of irrigation districts is an important part of agricultural modernization. In recent years, significant progress has been made in the informatization construction of irrigation districts. However, this progress mainly focuses on sensing and monitoring facilities, communication networks, and cloud informatization systems and application platforms, reaching a knowable level. However, the progress in gate control informatization is relatively slow. Currently, most irrigation districts still rely on manual operation to open the gates regularly according to the irrigation plan at the sites.

[0003] The currently commonly used SCADA system for gate control informationization is mainly applied in the scenarios of large-scale water conservancy projects and smart water services. Due to its high cost, high requirements for deployment environment, and poor operation and maintenance expansion ability, it is less applied in irrigation areas and small and medium-sized rivers, and has the following disadvantages: (1) The intelligent level of the core control device is low and the network dependence is strong: In the traditional gate control system built based on the SCADA system, the core control device (PLC) mainly focuses on logical control, lacking the ability to deeply analyze and process the collected data, and it is difficult to achieve intelligent scheduling and optimization. To achieve intelligent control, it requires the joint action of the on-site automation control system (RTU + PLC + IO control module) at the site and the central monitoring system in the central computer room. Relying on the central monitoring system for business decision-making, and then completing business control through network communication to dispatch the automation control system. Once the network fails between the site and the central computer room, the communication between the gate station and the central computer room will be interrupted, and the intelligent control will become ineffective. For example, during the flood season, the probability of network failure at remote gate stations is relatively high. When a network failure occurs, it is necessary to accurately dispatch the flow rate through the gate for these stations (only personnel can go to the site to use the automation control system for opening and closing operations, unable to accurately control the opening degree, and also unable to know the flow rate through the gate, with untimely handling and concerns about personnel safety), which brings great inconvenience to flood control work. (2) Poor scalability, complex fault troubleshooting, and extremely high installation, deployment, and business operation and maintenance costs: The core control device (PLC) of the traditional gate control system built based on the SCADA system needs to write logical control programs (PLC programming) according to the situation of the control circuit, and it is difficult to flexibly handle the large differences in the number of gates and control lines in irrigation areas and small and medium-sized rivers. The installation and deployment difficulty is high, and the professional requirements for personnel are high; The fault troubleshooting, function requirements, or changes in control lines of the traditional PLC system require on-site operation by professional personnel, with high learning costs, slow response speeds, high equipment operation and maintenance costs, and great difficulties; (3) Poor environmental adaptability of the core control device and high equipment operation and maintenance costs: The gate stations in 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 based on the SCADA system generally has a low protection level, with a high failure rate and poor durability in these scenarios, greatly increasing the equipment operation and maintenance costs.

[0004] Therefore, how to propose an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers to avoid the high cost of traditional core control devices, high requirements for deployment environment, low protection level under complex environmental conditions, and overcome the difficulties in flexible installation and deployment, optimize the low intelligent level of the core control device, and the strong network dependence in the case of large differences in the number of gates and control lines in irrigation areas and small and medium-sized rivers is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides an intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers, ensuring the credibility of data, realizing marginalized computing power, self-closed-loop of business at the edge, reducing network dependence, and being flexibly applied 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 object, the present invention adopts the following technical solutions: An intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers, comprising: Collecting original sensing data and performing preprocessing on the original sensing data for accuracy and unit conversion; Performing data verification processing on the preprocessed data, outputting credible minute water levels before and after the gate, and calculating the flow rate through the gate; Analyzing the real-time output water level and the flow rate through the gate according to a preset over-flow plan and a water level early warning algorithm to control the automatic duty of the gate control equipment at the gate point; Setting an edge gate control protection algorithm to protect the gate facilities under automatic duty.

[0006] Optionally, the collecting original sensing data and performing preprocessing on the original sensing data for accuracy and unit conversion includes: Using the same set of collection programs, dynamically configuring data collection tasks with 0 code through the configuration page built in the core control program according to the communication protocol of the connected devices, and collecting data of different sensing devices; According to the relationship between the number of turns of the gate position encoder and the single-turn data and the change of the measured gate opening, automatically converting the collected information of the gate position encoder into the real-time gate opening; The core control program provides a calibration interaction for the gate opening conversion rate, and calibrates the conversion program through the measured gate opening.

[0007] Optionally, the gate control equipment at the gate point includes a gate station gate status indicator and a gate control contact, and the gate control equipment at the gate point is controlled by a host computer.

[0008] Optionally, it further includes: docking the gate station gate status indicator and the gate control contact through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device; Automatically scanning and discovering the OpenHarmony IO expansion module through the OpenHarmony edge all-in-one machine, and dynamically forming the gate control equipment at the gate point.

[0009] Optionally, the OpenHarmony IO extension module automatically generates a single-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 to the single-gate control twin object through the distributed soft bus, and combines the acquisition task status of its own data acquisition module to form a gate-point control device that integrates sensing and gate control capabilities and is consistent with the gate station equipment status.

[0010] Optionally, the data verification process for the preprocessed data and the output of the credible pre-gate water level per minute and the credible post-gate water level per minute include: Automatically split the trigger time points according to the set data verification period, and adopt the sample data acquisition strategy when triggering the verification; Conduct a sign test on the data samples to exclude data with significantly different medians and non-normal data in the data samples; Use the residual analysis method to conduct a linear test on the data samples to exclude non-linear data in the data samples; Use the independent sample T-test method to conduct a deviation test on the data samples to exclude significantly deviated data in the data samples.

[0011] Optionally, the calculation of the flow rate through the gate includes: Conduct parameter configuration interaction for the hydraulic structures of the gate station, and be compatible with the inconsistent situations of the number of gate openings, gate widths, and bottom sill types of the gate stations in irrigation areas and small and medium-sized rivers; Based on the parameter configuration of the hydraulic structures of the gate station, calibrate the flow rate calculation algorithm through the measured flow rate to calculate the flow rate through the gate.

[0012] Optionally, the automatic monitoring of the gate-point control device includes: Upon receiving the opening preset command, control the raising and lowering of the gate, and add real-time opening monitoring. After the real-time opening reaches the preset opening, control the gate to stop to complete the operation; Upon receiving the flow rate preset command, according to the target flow rate preset in the command, combined with the real-time water level, automatically calculate the opening height of the gate, then control the raising and lowering of the gate, preset the gate to the corresponding height, and wait for the real-time flow rate passing through the station to reach the preset value, then control the gate to lower; Regularly control the gate to raise for flow through according to the set flow-through plan, and monitor the cumulative flow rate in real time. When the cumulative flow rate reaches the planned threshold, control the gate to lower; Monitor the pre-gate water level per minute in real time. When it reaches the set water level threshold, control the gate to raise for flow through, and monitor the cumulative flow rate in real time. Wait for the cumulative flow rate to reach the set threshold and / or the pre-gate water level per minute to reach the preset safe water level and / or the post-gate water level per minute to reach the safe water level, then control the gate to lower.

[0013] Optionally, the set edge gate control protection algorithm protects the gate facilities under automatic attendance, including: Perform speed protection on the gate lifting and lowering process. During the gate lifting and lowering process, once it is detected that the real-time opening height change of the gate within a unit time exceeds the upper and lower limits of the gate opening speed range, stop the gate operation, lock the gate, reject all control operations, and provide contact locking interaction. After on-site maintenance and restoration of the mechanical and electrical circuits, unlock it after detecting that the indicator light status returns to normal; Perform logical limit protection on the gate. Real-time monitor the gate opening and the gate indication status. During the gate stop, if the real-time opening ≥ the set maximum opening height, reject all gate lifting commands; during the gate stop, if the real-time opening ≤ the minimum opening height, reject all gate lowering commands; during the gate lifting and lowering process, if the real-time opening height exceeds the upper and lower limits of the gate, perform a gate stop operation; Perform interlock protection for gate lifting and lowering on the gate. Real-time monitor the gate indication status. During the gate lifting and lowering process, reject all gate lifting and lowering commands.

[0014] As can be seen from the above technical solutions, compared with the prior art, the present invention discloses and provides an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, having the following beneficial effects: The present invention proposes an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers, including: collecting original sensing data, performing precision and unit conversion preprocessing on the original sensing data; performing data verification processing on the preprocessed data, outputting credible minute water levels before and after the gate, and calculating the flow rate through the gate; analyzing the real-time output water levels and the flow rate through the gate according to the preset flow plan and water level early warning algorithm to control the automatic attendance of the gate control equipment at the gate point; setting the edge gate control protection algorithm to protect the gate facilities under automatic attendance, having the following beneficial effects: (1) For the traditional control method, it is necessary to use an opening meter to convert the gate position encoder data into gate opening data, collect the sensing data of the gate station through the RS485 communication module, realize edge automation control through the PLC host, and then realize data reporting and remote control through the remote terminal unit (RTU). The control method of the present invention can complete data collection, data preprocessing, edge automation control, data reporting and remote control through the core control device OpenHarmony edge all-in-one machine; (2) For the traditional gate control scheme, the water level sensing data of the gate station is not processed. The real-time water level data and the minute water level data directly use the original collected data at the corresponding moment. There will be data fluctuations in the original collected data (due to factors of the sensor itself or environmental impacts). When there are data fluctuations, the original collected data will have a large difference from the real digital data. When the business system uses this data for business calculations (such as flow calculation, intelligent scheduling of large water conservancy models, etc.), there will be a large error in the business effect. The present invention introduces a data verification algorithm generally used in hydrological business systems and water service business systems to clean water level data, verifies the original water level data before and after the gate of the gate station, and then takes 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, ensuring the confidence level of the data; (3) Marginalized computing power, self-closed loop at the business edge, 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, combined with the data acquisition ability of the edge central control system itself, to achieve a self-closed loop of the intelligent gate control business at the edge. Only when the network is smooth (before the flood season), set the flow threshold and the preset opening height in advance in the edge central control system. Since the data verification and the calculation of the flow through the station can be completed in the edge central control system, even if the flood season affects the network terminals of the edge central control system and the cloud control center, the edge central control system can still complete the intelligent control of the gate according to the set flow threshold and the preset opening height, without the need for personnel to be on site, ensuring the safety of personnel; (4) OpenHarmony distributed soft bus, virtualization of hardware capabilities, self-discovery and self-networking: The core control device (PLC) of the traditional gate control system built based on the SCADA system needs to write a logic control program (PLC programming) according to the situation of the control circuit, and it is difficult to flexibly handle the large differences in the number of gates and control lines in irrigation areas and small and medium-sized rivers. The core control device edge all-in-one machine and the IO expansion module of the present invention both adopt the OpenHarmony operating system. Through the distributed soft bus capability of OpenHarmony, they can self-discover and self-network, and one set of programs can be compatible with different numbers of gates and different control lines. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0016] Figure 1Schematic diagram of the intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers provided by the present invention.

[0017] Figure 2 Schematic diagram of the framework of the intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers provided by the present invention.

[0018] Figure 3 Schematic diagram of the framework of the traditional SCADA system gate control method provided by the present invention.

[0019] Figure 4 Schematic diagram of the process of the intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers provided by the present invention.

[0020] Figure 5 Data verification flowchart provided by the present invention. Detailed implementation manners

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] The embodiments of the present invention disclose an intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers, as Figure 1 shown, including: Collecting original sensing data and performing preprocessing on the original sensing data for accuracy and unit conversion; Performing data verification processing on the preprocessed data, outputting the credible minute water level in front of the gate and the credible minute water level behind the gate, and calculating the flow rate through the gate; Analyzing the real-time output water level and the flow rate through the gate according to the preset flow plan and water level early warning algorithm to control the automatic operation of the gate control equipment at the gate point; Setting an edge gate control protection algorithm to protect the gate facilities under automatic operation.

[0023] Furthermore, the collecting original sensing data and performing preprocessing on the original sensing data for accuracy and unit conversion includes: Using the same set of acquisition programs, dynamically configuring data acquisition tasks with 0 code through the configuration page built into the core control program according to the communication protocol of the connected devices, and collecting data of different sensing devices; Automatically converting the acquisition information of the gate position encoder into the real-time gate opening according to the relationship between the number of turns of the gate position encoder and the single-turn data and the change of the measured gate opening; The core control program provides gate opening conversion and calibration interaction, and calibrates the conversion program through the measured gate opening.

[0024] Furthermore, the gate control device at the gate point includes a gate status indicator light and a gate control contact of the gate station, and the gate control device at the gate point is controlled by a host computer.

[0025] Further, it also includes: connecting the gate status indicator light and gate control contact of the gate station through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device; The OpenHarmony edge all-in-one device automatically scans and discovers the OpenHarmony IO expansion modules, dynamically forming gate point control devices.

[0026] Furthermore, it also includes: connecting to the cloud control center / local control center platform to report site data and monitor control instructions.

[0027] 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 integrated 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 status.

[0028] Furthermore, the data verification process is performed on the pre-processed data to output the reliable minute-pre-gate water level and the reliable minute-post-gate water level, including: 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 residual analysis method to conduct linear test on data samples and exclude nonlinear data in data samples; Use the independent sample T test method to conduct a deviation test on the data sample and eliminate the obviously deviant data in the data sample.

[0029] Furthermore, the calculation of the flow rate through the gate includes: Interactive configuration of hydraulic structure parameters of sluice stations is carried out to accommodate the situation where the number of sluice holes, sluice width, and bottom 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.

[0030] Furthermore, the automatic guarding of the gate control device at the control gate point includes: Upon receiving the preset opening instruction, control the lifting and lowering of the gate, and add real-time opening monitoring. After the real-time opening reaches the preset opening, control the gate to stop closing to complete the operation; Upon receiving the preset flow rate instruction, automatically calculate the opening height of the gate in combination with the real-time water level according to the target flow rate preset in the instruction, and then control the lifting and lowering of the gate to preset the gate to the corresponding height. When the real-time flow rate passing through the station reaches the preset value, control the gate to lower; Control the gate to lift for flow passing regularly according to the set flow passing plan, and monitor the cumulative flow rate in real time. When the cumulative flow rate reaches the planned threshold, control the gate to lower; Monitor the water level in front of the gate per minute in real time. When the water level reaches the set water level threshold, control the gate to lift for flow passing, and monitor the cumulative flow rate in real time. When the cumulative flow rate reaches the set threshold and / or the water level in front of the gate per minute reaches the preset safe water level and / or the water level behind the gate per minute reaches the safe water level, control the gate to lower.

[0031] Furthermore, the protection of the gate facilities under automatic duty by the set edge gate control protection algorithm includes: Conduct speed protection during the process of lifting and lowering the gate. Once it is detected during the process of lifting and lowering the gate that the change in the real-time opening height of the gate per unit time exceeds the upper and lower limits of the gate opening speed range, stop the gate operation, lock the gate, reject all control operations, and provide an unlocking interaction. After on-site maintenance and restoration of the mechanical and electrical circuits, unlock it after detecting that the indicator light status returns to normal; Conduct logical limit protection on the gate. Monitor the gate opening and the gate indication status in real time. During the gate closing, if the real-time opening ≥ the set maximum opening height, all lifting gate instructions will be rejected; during the gate closing, if the real-time opening ≤ the minimum opening height, all lowering gate instructions will be rejected; during the process of lifting and lowering the gate, if the real-time opening height exceeds the upper and lower limits of the gate, stop the gate operation; Conduct interlock protection for lifting and lowering the gate. Monitor the gate indication status in real time. During the process of lifting and lowering the gate, reject all lifting and lowering gate instructions.

[0032] In the specific implementation manner, a framework for an intelligent control method for gate facilities in irrigation areas and small and medium-sized rivers is as Figure 2As shown in the figure, it includes: a central control system, a human-machine interface (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 respectively signal-connected to the human-machine interface (HMI), the data acquisition system, and the gate control system. The data acquisition system includes a post-gate level gauge, a pre-gate level gauge, 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 schematic diagram of the gate control method framework of the traditional SCADA system, as Figure 3 shown, the traditional control method needs to use an opening meter to convert the gate position encoder data into gate opening data, collect the sensing data of the gate station through the RS485 communication module, realize edge automation control through the PLC host, and then realize data reporting and remote control through the remote terminal unit (RTU). It is mainly applied to the scenarios of large-scale water conservancy projects and smart water services. Due to its high cost, high requirements for the deployment environment, and poor operation and maintenance expansion ability, it is less used in irrigation districts and small and medium-sized rivers. 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, the OpenHarmony edge all-in-one machine. The control method of the present invention has low network dependence, high scalability, and high intelligence, greatly reducing the daily business operation and maintenance costs of irrigation districts and small and medium-sized rivers.

[0033] In the specific implementation manner, an intelligent control method for gate facilities in irrigation districts and small and medium-sized rivers is used to perform intelligent control and sensing information monitoring on the gate facilities in irrigation districts and small and medium-sized rivers. The specific process is as Figure 4 shown, including: Step 1: Connect to the gate station sensor device through the RS485 serial port / network port of the core control device, the OpenHarmony edge all-in-one machine, to collect the original sensing data, and then perform precision conversion and unit conversion preprocessing on the original sensing data through the built-in data processing module thereof; Step 2: Connect to the gate status indicator light and the gate control contact of the gate station through the DI and DO interfaces of the OpenHarmony IO expansion module of the core control device; Step 3: The OpenHarmony edge all-in-one machine automatically scans and discovers the OpenHarmony IO expansion module, and dynamically forms a super device for gate point gate control; Step 4: Through the built-in data processing module of the core control device, the OpenHarmony edge all-in-one machine performs data verification processing on the preprocessed pre-gate water level data and post-gate water level data, and outputs the credible minute pre-gate water level and the credible minute post-gate water level; Step 5: Calculate the flow rate through the gate using the data processing module built into the core control device, the OpenHarmony Edge All-in-One Machine; Step 6: The core control device, the OpenHarmony Edge All-in-One Machine, automatically activates the edge gate control protection; Step 7: Through the control terminal docking module built into the core control device, the OpenHarmony Edge All-in-One Machine, dock with the cloud control center / local control center platform to report site data and monitor control instructions; Step 8: The core control device, the OpenHarmony Edge All-in-One Machine, automatically activates the intelligent control function and performs automatic duty according to the preset over-current plan and water level warning.

[0034] In this embodiment, the OpenHarmony distributed soft bus is adopted to realize the virtualization of hardware capabilities and self-discovery and self-networking. For the core control device (PLC) of the traditional gate control system built based on the SCADA system, it is necessary to write a logic control program (PLC programming) according to the situation of the control circuit, which is difficult to flexibly handle the large differences in the number of gates and control lines in irrigation areas and small and medium-sized rivers. Both the core control device edge all-in-one machine and the IO expansion module in this embodiment adopt the OpenHarmony operating system. Through the distributed soft bus capability of OpenHarmony, they can self-discover and self-network, and one set of programs can be compatible with different numbers of gates and different control lines.

[0035] In the specific implementation, the said Step 1 includes the following steps: S11: Use the same set of acquisition programs to dynamically configure data acquisition tasks with 0 code through the configuration page built into the core control program according to the communication protocol of the connected devices, and perform data acquisition of different sensing devices; S12: According to the relationship between the number of turns of the gate position encoder and the single-turn data and the change of the measured gate opening, automatically convert the acquisition information of the gate position encoder into the real-time gate opening; S13: The core control program provides an interaction for calibrating the gate opening conversion rate, and the conversion program can be calibrated through the measured gate opening.

[0036] In the specific implementation, the said Step 3 includes the following steps: S31: The OpenHarmony IO expansion module automatically generates a single-gate control twin object according to its own IO connection situation and publishes it to the OpenHarmony distributed soft bus network; S32: The OpenHarmony edge all-in-one machine automatically discovers and connects to the single-gate control twin object through the distributed soft bus, and automatically forms a super device integrating sensing and gate control capabilities that is exactly the same as the gate station equipment situation in combination with the acquisition task situation of its own data acquisition module.

[0037] In the specific implementation manner, as Figure 5 shown, Step 4 includes the following steps: S41: According to the set data inspection period (P), automatically divide the trigger time points (Ti~Tn), and when inspecting the trigger, follow the sample data acquisition strategy (data in the period of the first P / 2 and the last P / 2 before the trigger time point Ti); S42: Conduct a sign test on the data samples to exclude data with significantly different medians and non-normal data in the data samples; S43: Use the residual analysis method to conduct a linear test on the data samples to exclude non-linear data in the data samples; S44: Use the independent sample T-test method to conduct a deviation test on the data samples to exclude significantly deviated data in the data samples.

[0038] The embodiment of the present invention introduces a data inspection algorithm generally used in hydrological business systems and water service business systems to clean water level data, conducts data inspection on the original water levels before and after the gates of the gate station, and then takes the arithmetic mean of the data samples that pass the inspection as the minute water levels before and after the gates for business use, ensuring the confidence level of the data.

[0039] In the specific implementation manner, Step 5 includes the following steps: S51: The core control program provides an interaction for configuring the parameters of the hydraulic structures of the gate station, compatible with the situation where the number of gate openings, gate widths, and bottom sill types of the gate stations in irrigation areas and small and medium-sized rivers are not unified; S52: The core control program provides an interaction for calibrating the flow-pushing algorithm of the hydraulic structures, and the flow-pushing algorithm can be calibrated through the measured flow rate.

[0040] In the specific implementation manner, Step 6 includes the following steps: S61: The core control program performs speed protection on the process of lifting and lowering the gate. Once it is monitored during the process of lifting / lowering the gate that the "opening height change" of the gate in real time within "unit time" exceeds the upper and lower limits of the gate opening speed range (real-time speed ≥ maximum opening speed, real-time speed ≤ minimum opening speed), immediately stop the gate operation, lock the gate, reject all control operations, and provide an interaction for unlocking. After the personnel arrive at the site for maintenance and restore the mechanical and electrical circuits, unlock it after detecting that the indicator light status returns to normal; S62: The core control program performs logical limit protection on the gate, monitors the gate opening and the gate indication status in real time. During the gate stop, if the real-time opening ≥ the set maximum opening height, all gate lifting commands will be rejected; during the gate stop, if the real-time opening ≤ the minimum opening height, all gate lowering commands will be rejected; during the gate lifting and lowering process, if the real-time opening height exceeds the upper and lower limits of the gate (real-time opening ≥ the maximum opening height, real-time opening ≤ the minimum opening height), the gate will be stopped immediately. S63: The core control program performs interlock protection for gate lifting and lowering on the gate, monitors the gate indication status in real time, and rejects all gate lifting and lowering commands during the gate lifting and lowering process. In the specific implementation manner, step eight includes the following steps: S81: The core control program receives the opening preset command, the scheduling control unit controls the gate to lift and lower, adds real-time opening monitoring, and after the real-time opening reaches the preset opening, the scheduling control unit controls the gate to stop to complete the operation. S82: The core control program receives the flow preset command, automatically calculates the opening height according to the target flow preset in the command and in combination with the real-time water level, then the scheduling control unit controls the gate to lift and lower, sets the gate to the corresponding height, waits for the real-time flow passing through the station to reach the preset value, and the scheduling control unit controls the gate to lower. S83: The core control program schedules the scheduling control unit to control the gate to lift for flow passage regularly according to the set flow plan, and monitors the real-time flow of the data analysis and calculation module in real time to accumulate the cumulative flow. When the cumulative flow reaches the planned threshold, the scheduling control unit controls the gate to lower. S84: The core control program monitors the minute water level in front of the gate of the data analysis and calculation module in real time. When it reaches the set water level threshold, according to the water level value, the scheduling control unit controls the gate to lift for flow passage, and monitors the real-time flow of the data analysis and calculation module in real time to accumulate the cumulative flow. When the cumulative flow reaches the set threshold and / or the minute water level in front of the gate reaches the preset safe water level and / or the minute water level behind the gate reaches the safe water level, the scheduling control unit controls the gate to lower.

[0041] In this embodiment, the computing power is marginalized and the business edge is self-closed, reducing the network dependence to the lowest level: through the computing power of the OpenHarmony edge all-in-one machine, the data analysis service of the central supervision system is moved down, combined with the data acquisition ability of the edge center itself, to achieve the self-closed loop of the intelligent gate control business edge. Only when the network is smooth (before the flood season), set the flow threshold and opening height preset in the edge center control system in advance. Since the data verification and the flow calculation passing through the station can be completed in the edge center, even if the flood season affects the network terminals of the edge center and the cloud control center, the edge center can still complete the intelligent control of the gate according to the set flow threshold and opening height preset, without the need for personnel to be on site, ensuring the safety of personnel.

[0042] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For related parts, reference can be made to the description in the method section.

[0043] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest 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 water level before the gate, the reliable minute water level after the gate, and calculate the flow through the gate; According to the preset overflow plan and water level warning algorithm, the real-time output water level and gate flow are analyzed to control the gate control equipment at the gate point to automatically guard; The edge gate protection algorithm is set to protect the gate facilities under automatic guard.

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 preprocessing of the raw sensor data by calculating the accuracy and unit conversion include: Use the same collection program to dynamically configure data collection tasks and collect data from different sensor devices through the built-in configuration page of the core control program according to the communication protocol of the connected device; 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 OpenHarmony IO expansion module of the core control device; The OpenHarmony edge all-in-one device automatically scans and discovers the OpenHarmony IO expansion modules, dynamically forming gate point control devices.

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 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 integrated 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, including: 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 residual analysis method to conduct linear test on data samples and exclude nonlinear data in data samples; 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 of sluice stations is carried out to accommodate the situation where the number of sluice holes, sluice width, and bottom 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.

8. 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 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 to complete the operation; After receiving the preset flow command, the gate opening height is automatically calculated according to the preset target flow and the real-time water level, and then the gate is controlled to be raised and lowered, and the gate is preset to the corresponding height. When the real-time flow of the station reaches the preset value, the gate is controlled to be lowered; According to the set flow plan, the gate is controlled to lift and 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, and when it reaches the set water level threshold, control the gate to lift the gate to allow flow, and monitor the accumulated flow in real time, waiting for the accumulated flow to reach the set threshold and / or the water level in front of the minute gate to reach the preset safe water level and / or the water level behind the minute gate to reach the safe water level, then control the gate to close.

9. 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 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. Once the gate opening height change in real time within a unit time exceeds the upper and lower limits of the gate opening speed during the gate lifting and lowering process, the gate will be stopped and locked, all control operations will be rejected, and 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 limits 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.

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