Intelligent monitoring system and method for plane gate of hydropower station

Abstract

The invention provides an intelligent monitoring system and method for a plane gate of a hydropower station, and the system comprises a gate sensor module, a radio frequency identification card reader module, a cart motor detection module, a trolley motor detection module, a main lifting motor detection module, a main lifting weight detection module, a position detection module, and an operation storage module. And real-time monitoring and intelligent management of the operation state of the gate are realized. According to the system, independent functions and cooperative work of all the parts are ensured through modular design, and comprehensive technical support is provided for safe operation of the gate. A card reader module is integrated on a crane, a passive sensor is arranged on a gate, motion state parameters of a crane cart, a trolley and a main hoisting mechanism are collected in real time, load data of a main hoisting system are synchronously obtained, intelligent identification and state monitoring of the gate are achieved, and recording and updating of gate operation data are automatically completed.

Description

Technical Field

[0001] The present invention belongs to the field of hydropower operation monitoring, and in particular relates to an intelligent monitoring system and method for a plane gate of a hydropower station. Background Art

[0002] As a crucial hydraulic structure, flat gates at hydropower stations are primarily used to control or block water flow. Their opening and closing operations are typically performed by mobile gate hoists. Compared to radial gates, flat gates offer greater mobility and versatility. Hydropower stations are typically equipped with numerous flat gates, which are operated and opened and closed using mobile gate hoists.

[0003] Currently, determining the number and specific locations of gates is primarily a manual process. After gate opening and closing operations are completed, operators are required to promptly record gate location information. However, with the advancement of sensor technology, gate management is gradually moving towards intelligentization. Passive sensors such as RFID are installed on gates, and card readers are installed on gate operators or gate slots to enable real-time reading of gate signals.

[0004] However, this technical solution faces challenges in practical application. Installing card readers on all door slots presents challenges such as large engineering workload and high costs. Installing card readers on the door operators can lead to misreading during operation due to the large number of gates on site. These issues urgently require further technological innovation and optimization. Summary of the Invention

[0005] The purpose of the present invention is to address the defects of the existing technology and provide an intelligent monitoring system and method for the flat gates of a hydropower station. Based on the system of the present invention, automatic identification of the gates and real-time updating of database information can be achieved while the gate machine opens and closes the gates.

[0006] A first aspect of the present invention provides an intelligent monitoring system for a hydropower station flat gate, comprising: Gate sensor module: Using RFID technology, each gate segment is equipped with a unique identifier GateNO(i), and the gate status is collected in real time through wireless radio frequency signals; Radio Frequency Identification (RFID) reader module: corresponds one-to-one with the door operator, accurately identifies the gate sensor through RFID technology, has a mechanism for matching the reader number with the door operator number, and uses an encrypted protocol to communicate with the door operator; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's operating status; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's working status; Main hoisting motor detection module: collects the operating status data of the main hoisting motor, including current, voltage, speed and running direction parameters, to provide accurate control basis for gate opening and closing operations; Main hoisting weight detection module: inputs the weight data of the gates under the power station, sets the weight of the lightest gate as the threshold, and uses a high-precision weighing sensor to detect the lifting weight in real time to determine whether to open or close the gate; Position detection module: Constructs a two-dimensional plane coordinate system to accurately calibrate the gate slot position, obtains the gate crane's spatial coordinate information through real-time positioning technology, uses a high-precision positioning algorithm to calculate the gate crane's spatial position, and displays it to the operator through data visualization technology; Computing and storage module: Integrates monitoring data from each module, performs comprehensive analysis through preset algorithms, uses high-performance processors and large-capacity storage devices, processes large amounts of monitoring data in real time, and stores historical data.

[0007] Preferably, the system further includes a judgment module for judging whether to trigger the gate database update mechanism, and its judgment logic is as follows: When Δt=0, the system is initialized and enters the standby state, and each module performs self-test; At time t1, data from each module is collected to form the initial state vector S0; At time t2, data from each module is collected again to form the current state vector S1; Calculate the state change ΔS=S1-S0; If ΔS ≥ θ, the gate database update mechanism is triggered; If ΔS<θ, the current database version is maintained, and θ is the preset threshold; The system will archive each update operation record to form an operation log.

[0008] Preferably, the gate database update mechanism includes: When the card reader detects the gate sensor data signal GateNO(i), it first detects whether the crane trolley motor is in motion. If motion is detected, GateNO(i) is abandoned. The crane trolley motor operating status is determined by directly collecting motor status parameters or by installing an external rotary encoder for monitoring. Secondly, it detects whether the crane trolley motor is moving. If movement is detected, GateNO (i) is abandoned. The crane trolley motor operating status is determined by directly collecting motor status parameters or monitoring by installing an external rotary encoder. Then, the crane main hoisting motor is detected to see if it is in motion. If no motion is detected, GateNO (i) is abandoned. The main hoisting operation status of the crane is determined by directly collecting motor status parameters or by installing an external rotary encoder for monitoring. Finally, the main hoisting weight is detected. If it is less than the threshold, GateNO(i) is abandoned. Get the current position code AdressNO(j).

[0009] Preferably, the gate database update mechanism further includes: According to the rotation direction of the main lifting motor, modify the gate database of the corresponding position. When the main lifting rotates in the negative direction, that is, descending, Adress (j, m) = Adress (j, m) + GateNO (i); when the main lifting rotates in the positive direction, that is, ascending, Adress (j, m) = Adress (j, m) - GateNO (i).

[0010] Preferably, the gate database update mechanism further includes: Data synchronization and status update: After modifying the gate database, the new Adress (j, m) value is synchronized to the main control system. The synchronization process generates a temporary backup file. After the synchronization is completed, the current position status of the gate is updated and fed back to the operator; Exception handling mechanism: during the gate database modification process, if an abnormal situation is detected, the alarm mechanism will be triggered immediately and the current operation will be suspended. The operator can view the error information and handle it through the control panel, and the system will automatically record the abnormal event; Communication feedback with the host computer sends the gate position change information to the host computer monitoring system in real time. The host computer performs a secondary verification. After the verification is passed, the real-time status of the gate is updated on the monitoring interface and confirmation information is returned.

[0011] Preferably, the gate database update mechanism further includes: Historical data recording: every gate position change is recorded in the historical database, including timestamp, operation type, gate position code and other information; To ensure security and reliability, gate database modification operations are subject to strict authority verification and can only be performed by authorized personnel. The system conducts regular data backup and recovery drills.

[0012] Preferably, the height difference between each row of capacitor units is 5 cm-10 cm.

[0013] A second aspect of the present invention provides a method for intelligent monitoring of a hydropower station flat gate based on any of the above-mentioned systems, comprising the following steps: The system is initialized, each module performs self-test, and enters the standby state when Δt=0; At time t1, data from each module is collected to form the initial state vector S0; At time t2, data from each module is collected again to form the current state vector S1; Calculate the state change ΔS=S1-S0; Based on the comparison result of ΔS and the preset threshold θ, decide whether to trigger the gate database update mechanism. If ΔS ≥ θ, execute the subsequent update steps. If ΔS < θ, maintain the current database version. When the update mechanism is triggered and the card reader detects the gate sensor data signal GateNO (i), it sequentially detects whether the crane trolley motor, trolley motor, main hoist motor are in motion and the main hoist lifting weight, and decides whether to abandon GateNO (i) based on the detection results; If GateNO(i) is not abandoned, obtain the current position code AdressNO(j) and modify the gate database of the corresponding position according to the rotation direction of the main lifting motor; After the database modification is completed, data synchronization and status update are carried out, the new data is synchronized to the main control system, the current position status of the gate is updated and fed back to the operator; The gate position change information is sent to the host computer monitoring system in real time. After verification, the host computer updates the monitoring interface and returns confirmation information; Record every gate position change in the historical database, while ensuring system security and reliability, verifying permissions for database modification operations and backing up data regularly.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides an intelligent monitoring system and method for planar gates of a hydropower station. By integrating a card reader module on a crane and deploying passive sensors on the gates, the system collects the motion state parameters of the crane trolley, car, and main lifting mechanism in real time, and simultaneously obtains the load data of the main lifting system, thereby realizing intelligent identification and status monitoring of the gates, and automatically completing the recording and updating of the gate operation data.

[0015] This method can effectively eliminate interference data during the gate opening and closing process at a low implementation cost, and realize real-time monitoring and data management of the gate opening and closing status.

[0016] The present invention provides a key core technology for the intelligent management of plane gates in hydropower stations and has important engineering application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Flowchart of the present invention.

[0018] Figure 2-4 This is a detection state diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solution of the present invention, the preferred embodiments of the present invention are described below in conjunction with specific embodiments. However, it should be understood that the drawings are only for illustrative purposes and cannot be understood as limiting this patent; in order to better illustrate this embodiment, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted; the positional relationships described in the drawings are only for illustrative purposes and cannot be understood as limiting this patent.

[0020] As an embodiment of the present invention, see the attached Figure 1 This embodiment provides an intelligent monitoring system for a hydropower station flat gate, including: Gate sensor module: Using RFID technology, each gate segment is equipped with a unique identifier GateNO(i). It collects gate status in real time through wireless radio frequency signals, supports parallel processing of multi-sensor data, and adopts a low-power design. Radio Frequency Identification (RFID) reader module: corresponds one-to-one with the door operator, accurately identifies the gate sensor through RFID technology, has a mechanism for matching the reader number with the door operator number, supports multi-frequency signal transmission, and uses an encrypted protocol to communicate with the door operator; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's operating status; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's working status; Main hoisting motor detection module: collects the operating status data of the main hoisting motor, including current, voltage, speed and running direction parameters, to provide accurate control basis for gate opening and closing operations; Main hoisting weight detection module: inputs the weight data of the gates under the power station, sets the weight of the lightest gate as the threshold, and uses a high-precision weighing sensor to detect the lifting weight in real time to determine whether to open or close the gate; Position detection module: Constructs a two-dimensional plane coordinate system to accurately calibrate the gate slot position, obtains the gate crane's spatial coordinate information through real-time positioning technology, uses a high-precision positioning algorithm to calculate the gate crane's spatial position, and displays it to the operator through data visualization technology; Computing and storage module: As the core control unit of the system, it integrates the monitoring data of each module, performs comprehensive analysis through preset algorithms, and uses high-performance processors and large-capacity storage devices to process large amounts of monitoring data in real time and store historical data.

[0021] This system utilizes an integrated monitoring architecture, encompassing a gate sensor module, a radio frequency identification (RFID) reader module, a trolley motor detection module, a trolley motor detection module, a main hoist motor detection module, a main hoist lifting weight detection module, a position detection module, and a computational storage module. This enables real-time monitoring and intelligent management of the gate's operating status. The system's modular design ensures that each component functions independently and works collaboratively, providing comprehensive technical support for the gate's safe operation.

[0022] The gate sensor module uses RFID technology, assigning a unique identifier, GateNO(i), to each gate segment, ensuring uniqueness and traceability. This module uses wireless radio frequency signals to collect real-time gate status and supports parallel processing of multi-sensor data, providing fundamental data support for the system. The sensor's low-power design ensures stable operation over extended periods, ensuring continuous and reliable data collection.

[0023] The card reader module establishes a one-to-one correspondence with the door operator, enabling precise identification of gate sensors through radio frequency identification technology. The matching of the card reader number with the door operator number ensures the correlation between gate operation and monitoring data. The card reader module supports multi-frequency signal transmission, effectively preventing signal interference and improving recognition accuracy. Furthermore, communication between the card reader and the door operator utilizes an encrypted protocol to ensure secure data transmission.

[0024] The trolley, carriage, and main hoist motor detection modules each utilize independent monitoring units to provide comprehensive awareness of the gate operator's operating status. The trolley and carriage motor detection modules collect motor operating status data, including current, voltage, speed, and other parameters, at preset intervals, providing real-time monitoring of the motor's operating status. The main hoist motor detection module additionally monitors the motor's operating direction, providing precise control for gate opening and closing operations. Each detection module is equipped with high-precision sensors to ensure accurate and reliable data collection.

[0025] The main hoist weight detection module records the weight data of all power station gates and sets the weight of the lightest gate as the threshold. It then measures the lifting weight in real time to determine whether a gate opening or closing operation is in progress. This module utilizes high-precision load cells to monitor lifting weight changes in real time and, through data processing algorithms, ensures accurate weight detection. Furthermore, the module supports the entry and management of weight data for multiple gates, facilitating unified system monitoring and management.

[0026] The position detection module constructs a two-dimensional coordinate system to precisely calibrate the gate slot position. Using real-time positioning technology, this module acquires the gate crane's spatial coordinate information, providing a positional reference for gate operation. The position detection module employs a high-precision positioning algorithm to calculate the gate crane's spatial position in real time. Using data visualization technology, this position information is intuitively displayed to the operator, improving operational accuracy and efficiency.

[0027] The computation and storage module, the system's core control unit, integrates monitoring data from various modules and performs comprehensive analysis using pre-set algorithms. Utilizing a high-performance processor and large-capacity storage devices, the computation and storage module processes large amounts of monitoring data in real time and stores historical data for subsequent analysis and query. The module supports a variety of data processing algorithms and can be flexibly adjusted based on actual needs, ensuring stable and efficient system operation.

[0028] In some preferred embodiments, the system further includes a judgment module for judging whether to trigger the gate database update mechanism, and its judgment logic is as follows: When Δt=0, the system initialization is completed and enters the standby state. During the system initialization process, each module performs self-test to ensure the normal operation of the equipment. The self-test content includes sensor connection status, data transmission channel, storage device status, etc. to ensure that the system can work normally; At time t1, the system collects data from each module to form the initial state vector S0. The initial state vector includes information such as gate position, motor operating status, and lifting weight, providing benchmark data for subsequent state analysis. The system analyzes the initial state vector through data processing algorithms to ensure data accuracy and completeness. At time t2, the system again collects data from each module to form the current state vector S1. The current state vector includes information such as the real-time position of the gate, the operating status of the motor, and the lifting weight, reflecting the current operating status of the gate. The system obtains the monitoring data of each module in real time through the data acquisition module and performs preliminary processing to ensure the real-time and accuracy of the data. Calculate the state change ΔS = S1-S0. The system uses a data processing algorithm to calculate the difference between the current state vector and the initial state vector to reflect the change in the gate's operating state. The state change ΔS includes information such as gate position changes and motor operating parameter changes, providing a basis for subsequent judgments. If ΔS ≥ θ, the gate database update mechanism is triggered: The gate database update mechanism is triggered. The system determines whether the state change meets the update conditions based on the preset threshold θ. If the state change exceeds the threshold, the system triggers the gate database update mechanism to update the real-time status information of the gate. The update mechanism includes data collection, processing, storage and feedback to ensure the real-time and accuracy of the gate database; If ΔS < θ, the current database version is maintained, where θ is a preset threshold. If the state change does not reach the threshold, the system maintains the current database version, avoiding unnecessary updates and improving system efficiency. The system uses data processing algorithms to analyze state changes to ensure accurate and reliable judgments.

[0029] The system archives each update operation record as an operation log. This log includes information such as update time, update content, and operator, providing important information for subsequent system maintenance and fault analysis. The system manages the log through the data storage module, ensuring data security and traceability.

[0030] Through modular design and intelligent algorithms, the system enables real-time monitoring, data collection, analysis, processing, and intelligent management of gate operating conditions, providing reliable technical support for the safe operation of hydropower station gates. The system's integrated architecture ensures that all modules work together, improving overall system performance and reliability.

[0031] In the above embodiment, the gate database update mechanism includes: When the card reader detects the gate sensor data signal GateNO(i), it first detects whether the crane trolley motor is in motion. If motion is detected, GateNO(i) is abandoned. The crane trolley motor operating status is determined by directly collecting motor status parameters or by installing an external rotary encoder or other sensors for monitoring. Secondly, it is detected whether the crane trolley motor is moving. If movement is detected, GateNO (i) is abandoned. The operating status of the crane trolley motor is determined by directly collecting motor status parameters or monitoring by installing an external rotary encoder or other sensors.

[0032] Then check whether the crane's main hoisting motor is moving. If no movement is detected, GateNO (i) is abandoned. The main hoisting operation status of the crane is determined by directly collecting motor status parameters or by installing an external rotary encoder or other sensors for monitoring.

[0033] Finally, the main hoisting weight is detected. If it is less than the threshold, GateNO(i) is abandoned. Get the current position code AdressNO(j); According to the rotation direction of the main lifting motor, modify the gate database of the corresponding position. When the main lifting rotates in the negative direction, that is, descending, Adress (j, m) = Adress (j, m) + GateNO (i); when the main lifting rotates in the positive direction, that is, ascending, Adress (j, m) = Adress (j, m) - GateNO (i).

[0034] In some preferred embodiments, the gate database update mechanism further includes: Data synchronization and status updates: After modifying the gate database, the new address (j, m) values are synchronized to the master control system. This synchronization process generates a temporary backup file. Upon completion, the current gate position status is updated and provided to the operator. After the gate database is modified, the system needs to synchronize the new address (j, m) values to the master control system. During the synchronization process, a temporary backup file is generated to prevent data loss or corruption. Upon completion, the system updates the current gate position status and provides feedback to the operator via indicator lights or displays. The system uses a data transmission module to achieve real-time synchronization of the gate database, ensuring the master control system has the latest gate status information.

[0035] Exception handling mechanism: During the gate database modification process, if an abnormal situation is detected, the alarm mechanism will be triggered immediately and the current operation will be suspended. The operator can view the error information and handle it through the control panel, and the system will automatically record the abnormal event.

[0036] Communication feedback with the host computer sends the gate position change information to the host computer monitoring system in real time. The host computer performs a secondary verification. After the verification is passed, the real-time status of the gate is updated on the monitoring interface and confirmation information is returned.

[0037] In some other preferred embodiments, the gate database update mechanism further includes: Historical data logging records every gate position change in a historical database, including information such as timestamp, operation type, and gate position code. The system transmits this information to the host computer monitoring system in real time. Upon receiving the data, the host computer performs a secondary verification to ensure data accuracy and integrity. Once verification is successful, the host computer updates the gate's real-time status on the monitoring interface and sends confirmation back to the card reader system, completing the data exchange process. The system uses the data communication module to enable real-time data exchange with the host computer, ensuring real-time monitoring and feedback of gate status.

[0038] To ensure security and reliability, modifications to the gate database must undergo strict permission verification. Only authorized operators or system administrators can perform such operations. This permission verification process includes user identity authentication and operation permission checks to ensure that only authorized users can modify the gate database. Furthermore, the system regularly conducts data backup and recovery drills to mitigate potential data loss or system failures. Data backup utilizes redundant storage technology to ensure data security and recoverability.

[0039] Some preferred embodiments also include an exception handling mechanism: If an abnormality is detected during the gate database modification process (such as data write failure or communication interruption), the system immediately triggers an alarm and suspends the current operation. The operator can view the specific error information on the control panel and take appropriate action according to the prompts. The system automatically records the abnormal event for subsequent analysis and troubleshooting. The exception handling mechanism includes error detection, alarm triggering, operation suspension, and error logging, ensuring that the system can quickly respond and handle abnormal situations.

[0040] As another preferred embodiment of the present invention, this embodiment provides a method for intelligent monitoring of a hydropower station plane gate based on any of the above systems, comprising the following steps: The system is initialized, each module performs self-test, and enters the standby state when Δt=0; At time t1, data from each module is collected to form the initial state vector S0; At time t2, data from each module is collected again to form the current state vector S1; Calculate the state change ΔS=S1-S0; Based on the comparison result of ΔS and the preset threshold θ, decide whether to trigger the gate database update mechanism. If ΔS ≥ θ, execute the subsequent update steps. If ΔS < θ, maintain the current database version. When the update mechanism is triggered and the card reader detects the gate sensor data signal GateNO (i), it sequentially detects whether the crane trolley motor, trolley motor, main hoist motor are in motion and the main hoist lifting weight, and decides whether to abandon GateNO (i) based on the detection results; If GateNO(i) is not abandoned, obtain the current position code AdressNO(j) and modify the gate database of the corresponding position according to the rotation direction of the main lifting motor; After the database modification is completed, data synchronization and status update are carried out, the new data is synchronized to the main control system, the current position status of the gate is updated and fed back to the operator; The gate position change information is sent to the host computer monitoring system in real time. After verification, the host computer updates the monitoring interface and returns confirmation information; Record every gate position change in the historical database, while ensuring system security and reliability, verifying permissions for database modification operations and backing up data regularly.

[0041] Through the above steps, the system can achieve precise control and real-time monitoring of gate position, ensuring the safety and reliability of gate operation. Furthermore, a comprehensive exception handling mechanism and historical data recording function provide strong support for system maintenance and optimization. The system utilizes an integrated architecture and intelligent algorithms to ensure that all modules work together, improving the overall system performance and reliability, and providing reliable technical support for the safe operation of hydropower station gates.

[0042] The core of this method is to collect the motion state parameters of the crane trolley, car and main lifting mechanism in real time, synchronously obtain the load data of the main lifting system, realize the intelligent identification and status monitoring of the gate, and automatically complete the recording and updating of the gate operation data.

[0043] (1) Data collection order It's worth noting that hydropower stations have a large number of planar gates. Using conventional identification methods might read data from gates stored on the dam surface, causing confusion in the gate database. This solution doesn't require a strict sequence for data collection and judgment; a general sequence is shown here for reference.

[0044] (2) Number of gate sensors installed This solution recommends installing one sensor on a single gate section, but two or more sensors can also be installed according to actual needs to improve the reliability of data collection through redundant configuration.

[0045] (3) Number of card readers installed ①1 card reader This solution, which installs a single card reader on the gantry crane, is suitable for power plants with smaller spans. As shown in the figure, when there is only a single row of gate slots between the two legs of the gantry crane, a single card reader can meet basic requirements. However, increasing the number of card readers to two further improves reliability.

[0046] ②2 card readers For gantry cranes with larger spans, it is recommended to install card readers on both sides of the gantry crane's legs. As shown in the figure, when there are two rows of gate slots between the two legs of the gantry crane, a single card reader cannot complete the entire monitoring task. In this case, card readers need to be installed on both sides, and a trolley position data judgment link is added to identify the current gate side in operation, call the card reader data in the corresponding direction, and block the card reader data on the other side.

[0047] Through the above adjustments, it can be ensured that the system can operate stably under different span conditions and accurately monitor the gate status.

[0048] ③Database update time T=t0+△t The system determines at time t0 that a gate opening and closing operation is in progress and updates the database after a time Δt has passed. Δt is determined based on the gate height and the current main hoist speed.

[0049] ④Compare and analyze work order information Furthermore, the gate position change information obtained using this method (system) can be compared and analyzed with the current work order information. If the two information are consistent, the subsequent operation will continue; if the information is inconsistent, the system will trigger an error mechanism.

[0050] Specific implementation case 1: A hydropower station flat gate monitoring system A large hydropower station has multiple gate slots and several mobile cranes (gantry cranes). Each gate slot is equipped with a flat gate, and the gates are numerous and widely distributed. Traditional gate management relies on manual recording of gate positions and status, which is inefficient and prone to errors. This paper proposes an intelligent monitoring system that integrates a card reader module with the gantry crane and deploys passive sensors on the gates to achieve intelligent gate identification and status monitoring.

[0051] System installation and configuration 1. Sensor installation - A passive RFID sensor is installed on each gate segment. The sensor has a unique identifier `GateNO(i)`, for example, `GateNO(1)` represents gate segment No. 1.

[0052] -The sensor adopts a low power consumption design and can work stably during the gate opening and closing process.

[0053] 2. Card reader installation -Install one card reader module on each door machine. The card reader number corresponds to the door machine number one by one. For example, if the door machine number is `CraneNO(1)`, the corresponding card reader number is `ReaderNO(1)`.

[0054] 3. Motor detection module installation -Install detection modules on the gantry crane's trolley, carriage, and main hoisting motor to collect motor operating status parameters (such as current, voltage, speed, etc.) in real time.

[0055] -An additional weight detection module is installed on the main lifting motor to monitor the lifting weight in real time.

[0056] 4. Position detection module installation -Install the position detection module on the gate machine, build a two-dimensional plane coordinate system, accurately calibrate the gate slot position, and generate the position code `AdressNO(j)`.

[0057] 5. Computing and storage module configuration -Install a computing storage module in the door operator control room as the system's control center, integrating data from each module and conducting comprehensive analysis.

[0058] --- System operation process 1. Initialization phase (time t0) -System self-test After the system starts, it first performs a self-test to confirm the connection status of the sensor, card reader, motor detection module and position detection module, and ensure the normal operation of the data transmission channel and storage device.

[0059] - Initial state vector acquisition (S0 = v0 trolley, v0 trolley, v0 main hoist) The system collects initial status data, including: - Gate position code: `AdressNO(j)`.

[0060] -Motor operating status: The trolley motor, carriage motor, and main hoisting motor (speed v0) are not operating.

[0061] -Lifting weight: `Weight=10 tons` (unlifted, 10-ton grab beam weight).

[0062] -Gate database status: `Adress(j,m)`, used to store information about the `m`th gate in gate slot `j`, which may include name, maintenance history, etc.

[0063] 2. Gate opening and closing operation phase (time t1) - The operator starts the gate opening and closing operation The operator selects the target gate slot `AdressNO(j)` through the control panel, and starts the gate machine to run to the corresponding gate slot to perform gate opening and closing operations.

[0064] -Status data collection (S1=v1 trolley, v1 small car, v1 main hoist) The system collects current status data at time t1, including: - Gate position code: `AdressNO(j)`.

[0065] -Motor operating status: -Trolley motor: not working.

[0066] -Trolley motor: not working.

[0067] - Main lifting motor: action (speed v1, positive rotation, indicating gate rising).

[0068] -Lifting weight: `Weight=10 tons——100 tons` (gate weight).

[0069] - Gate sensor signal: The card reader detects the gate sensor signal `GateNO(i)`.

[0070] 3. Calculation of state change ΔS = (v1 trolley - v0 trolley)² + (v1 trolley - v0 trolley)² (v1 main lift - v0 main lift)² - Trigger the gate database update mechanism The system judges `ΔS ≥ θ` (the state change exceeds the threshold), triggering the gate database update mechanism.

[0071] 4. Gate database update -Judgment logic -The main lifting motor is detected to be in motion and the rotation direction is positive (gate rising).

[0072] - Get the current location code `AdressNO(j)`.

[0073] - Modify the gate database according to the rotation direction of the main lifting motor: -`Adress(j,m)=Adress(j,m)-GateNO(i)`, which means that the gate segment `GateNO(i)` moves out from the current position `Adress(j,m)`.

[0074] -Data synchronization and feedback -The system synchronizes the updated gate database to the main control system.

[0075] -The host computer monitoring system shows that the gate segment `GateNO(i)` has risen to the target position.

[0076] Abnormal situation handling Case 1: Card reader does not detect sensor signal - Abnormal phenomena When the system collects status data at time t1, the card reader does not detect the gate sensor signal `GateNO(i)`.

[0077] -Processing logic 1. The system determines that the current operation is not a gate opening or closing operation and abandons the current gate sensor data signal.

[0078] 2. An alarm prompts: "No gate sensor signal is detected, please check the sensor or card reader status."

[0079] 3. The operator checks the connection status of the sensor and card reader, and restarts the gate opening and closing operation after confirming that it is correct.

[0080] Case 2: Abnormal lifting weight - Abnormal phenomena When the system collects status data at time t1, the main lifting motor detects that the lifting weight is `Weight=5000kg`, which is less than the preset threshold `θ=8000kg`.

[0081] -Processing logic 1. The system determines that the current operation is not a gate opening or closing operation and abandons the current gate sensor data signal.

[0082] 2. Issue an alarm: "The lifting weight is abnormal, please check the gate or lifting system."

[0083] 3. The operator checks the operating status of the gate and lifting system, and restarts the gate opening and closing operation after confirming that everything is correct.

[0084] Case 3: Database update failure - Abnormal phenomena When the system was updating the gate database, data writing failed due to communication interruption.

[0085] -Processing logic 1. The system triggers the alarm mechanism and suspends the current operation.

[0086] 2. Automatically generate error logs to record the time, type and specific information of abnormal events.

[0087] 3. The operator checks the communication system, fixes the fault, and then re-executes the gate database update operation.

[0088] The above-described specific embodiments clearly illustrate the operational process of the system and method of the present invention in practical applications. The system collects the crane's motion parameters and load data in real time, constructs an intelligent recognition algorithm, implements intelligent identification and status monitoring of gates, and automatically records and updates gate operation data. In abnormal situations, the system can quickly respond and take appropriate measures to ensure the safety and reliability of gate opening and closing operations. This invention provides a key core technology for the intelligent management of hydropower station flat gates and has important engineering application value.

[0089] The core content of this study is to collect and obtain the motion state parameters of the crane trolley, car and main lifting mechanism in real time, and simultaneously obtain the load data of the main lifting system, to realize the intelligent identification and status monitoring of the gate, and automatically complete the recording and updating of the gate operation data.

[0090] In practice, two methods can be used to collect data: one is to collect the motion parameters of the corresponding motor, and the other is to collect data from the corresponding displacement sensor. This monitoring objective can be achieved by analyzing position changes. In practice, displacement data for the door crane can be collected using sensors such as encoders, lasers, UWD, or Beidou, depending on the crane's level of automation.

[0091] like Figure 2 As shown, in this embodiment, when the trolley position changes, the trolley position, main hook height and main hook load values do not change, the gate in the gate slot does not change, and the card reader data is not read.

[0092] like Figure 3 As shown in the figure, when the trolley position changes, the trolley position, main hook height and main hook load values do not change. At this time, the gate in the gate slot does not change and the card reader data is not read.

[0093] like Figure 4 As shown, when the height change of the main hook is detected, the trolley position, the small trolley position and the main hook load values do not change, the gate opening and closing operation is performed, and the card reader data is read.

[0094] Define the downward movement of the main hook as the positive direction. This is the gate closing operation. After reading the gate information, modify the gate database.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent monitoring system for plane gates of a hydropower station, characterized in that: include: Gate sensor module: Using RFID technology, each gate segment is equipped with a unique identifier GateNO(i), and the gate status is collected in real time through wireless radio frequency signals; Radio Frequency Identification (RFID) reader module: corresponds one-to-one with the door operator, accurately identifies the gate sensor through RFID technology, has a mechanism for matching the reader number with the door operator number, and uses an encrypted protocol to communicate with the door operator; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's operating status; Trolley motor detection module: collects trolley motor operating status data within a preset time interval, including current, voltage, and speed parameters, for real-time monitoring of the trolley motor's working status; Main hoisting motor detection module: collects the operating status data of the main hoisting motor, including current, voltage, speed and running direction parameters, to provide accurate control basis for gate opening and closing operations; Main hoisting weight detection module: inputs the weight data of the gates under the power station, sets the weight of the lightest gate as the threshold, and uses a high-precision weighing sensor to detect the lifting weight in real time to determine whether to open or close the gate; Position detection module: Constructs a two-dimensional plane coordinate system to accurately calibrate the gate slot position, obtains the gate crane's spatial coordinate information through real-time positioning technology, uses a high-precision positioning algorithm to calculate the gate crane's spatial position, and displays it to the operator through data visualization technology; Computing and storage module: Integrates monitoring data from each module, performs comprehensive analysis through preset algorithms, uses high-performance processors and large-capacity storage devices, processes large amounts of monitoring data in real time, and stores historical data.

2. The hydropower station plane gate intelligent monitoring system according to claim 1 is characterized in that: The system also includes a judgment module for judging whether to trigger the gate database update mechanism, and its judgment logic is as follows: When Δt=0, the system is initialized and enters the standby state, and each module performs self-test; At time t1, data from each module is collected to form the initial state vector S0; At time t2, data from each module is collected again to form the current state vector S1; Calculate the state change ΔS=S1-S0; If ΔS ≥ θ, the gate database update mechanism is triggered; If ΔS < θ, the current database version is maintained, and θ is the preset threshold; The system will archive each update operation record to form an operation log.

3. The hydropower station plane gate intelligent monitoring system according to claim 2 is characterized in that: The gate database update mechanism includes: When the card reader detects the gate sensor data signal GateNO(i), it first detects whether the crane trolley motor is in motion. If motion is detected, GateNO(i) is abandoned. The crane trolley motor operating status is determined by directly collecting motor status parameters or by installing an external rotary encoder for monitoring. Secondly, it detects whether the crane trolley motor is moving. If movement is detected, GateNO (i) is abandoned. The crane trolley motor operating status is determined by directly collecting motor status parameters or monitoring by installing an external rotary encoder. Then, the crane main hoisting motor is detected to see if it is in motion. If no motion is detected, GateNO (i) is abandoned. The main hoisting operation status of the crane is determined by directly collecting motor status parameters or by installing an external rotary encoder for monitoring. Finally, the main hoisting weight is detected. If it is less than the threshold, GateNO(i) is abandoned. Get the current position code AdressNO(j).

4. The hydropower station plane gate intelligent monitoring system according to claim 3 is characterized in that: The gate database update mechanism also includes: According to the rotation direction of the main lifting motor, modify the gate database of the corresponding position. When the main lifting rotates in the negative direction, that is, descending, Adress (j, m) = Adress (j, m) + GateNO (i); when the main lifting rotates in the positive direction, that is, ascending, Adress (j, m) = Adress (j, m) - GateNO (i).

5. The hydropower station plane gate intelligent monitoring system according to claim 3 is characterized in that: The gate database update mechanism also includes: Data synchronization and status update: After modifying the gate database, the new Adress (j, m) value is synchronized to the main control system. The synchronization process generates a temporary backup file. After the synchronization is completed, the current position status of the gate is updated and fed back to the operator; Exception handling mechanism: during the gate database modification process, if an abnormal situation is detected, the alarm mechanism will be triggered immediately and the current operation will be suspended. The operator can view the error information and handle it through the control panel, and the system will automatically record the abnormal event; Communication feedback with the host computer sends the gate position change information to the host computer monitoring system in real time. The host computer performs a secondary verification. After the verification is passed, the real-time status of the gate is updated on the monitoring interface and confirmation information is returned.

6. The hydropower station plane gate intelligent monitoring system according to claim 3 is characterized in that: The gate database update mechanism also includes: Historical data recording, recording each gate position change in the historical database, including timestamp, operation type, and gate position code information; To ensure security and reliability, gate database modification operations are subject to strict authority verification and can only be performed by authorized personnel. The system conducts regular data backup and recovery drills.

7. An intelligent monitoring method for a hydropower station flat gate based on the system according to any one of claims 1 to 6, characterized in that: The following steps are involved: The system is initialized, each module performs self-test, and enters the standby state when Δt=0; At time t1, data from each module is collected to form the initial state vector S0; At time t2, data from each module is collected again to form the current state vector S1; Calculate the state change ΔS=S1-S0; Based on the comparison result of ΔS and the preset threshold θ, decide whether to trigger the gate database update mechanism. If ΔS ≥ θ, execute the subsequent update steps. If ΔS < θ, maintain the current database version. When the update mechanism is triggered and the card reader detects the gate sensor data signal GateNO (i), it sequentially detects whether the crane trolley motor, trolley motor, main hoist motor are in motion and the main hoist lifting weight, and decides whether to abandon GateNO (i) based on the detection results; If GateNO(i) is not abandoned, obtain the current position code AdressNO(j) and modify the gate database of the corresponding position according to the rotation direction of the main lifting motor; After the database modification is completed, data synchronization and status update are carried out, the new data is synchronized to the main control system, the current position status of the gate is updated and fed back to the operator; The gate position change information is sent to the host computer monitoring system in real time. After verification, the host computer updates the monitoring interface and returns confirmation information; Record every gate position change in the historical database, while ensuring system security and reliability, verifying permissions for database modification operations and backing up data regularly.

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