A low-voltage electrical emergency linkage control method for a water conservancy multi-opening and closing machine group

Abstract

The application discloses a low-voltage electrical emergency linkage control method for water conservancy multi-opening and closing machine groups, relates to the technical field of water conservancy hoist electrical control, and aims to solve the technical problems of insufficient closed-loop emergency, poor module linkage, easy emergency failure and system paralysis caused by multiple inducements in the existing control method under the extreme unattended scene of border alpine desert type water conservancy gate groups, and comprises the following steps: S1, through a monitoring module integrated with multiple types of sensing units, the environmental inducements and low-voltage electrical operation states of the gate group are collected in real time, an association algorithm is constructed to realize accurate identification of emergency inducements and signal distortion compensation, and the monitoring module has fault tolerance capability; S2, based on the identification result, a low-voltage driven flexible buffer protection module is started in linkage to realize the cooperation of ice particle impact protection and gate deformation prevention; and S3, a cooperative deicing module is started synchronously. The application has the advantages of closed-loop emergency, module cooperative fault tolerance and adaptation to the extreme unattended scene.

Description

Technical Field

[0001] This invention relates to the field of electrical control technology for hydraulic gate hoists, and more specifically, to a low-voltage electrical emergency linkage control method for hydraulic multi-gate hoist groups. Background Technology

[0002] The extreme climate of the border high-altitude desert region, with frequent strong winds and snowstorms carrying ice pellets in winter, can cause multiple superimposed damages to the low-voltage electrical systems and gate structures of water conservancy gate systems. Furthermore, the region is often unmanned and experiences traffic disruptions. Traditional low-voltage electrical emergency control methods are no longer adequate for practical applications. Existing control methods lack full-process autonomous closed-loop emergency response capabilities, with each emergency module operating independently and exhibiting poor interoperability. When faced with multiple emergency triggers such as ice pellet impact, ice blockage, electrical failure, seal damage, and unstable low-voltage power supply, they cannot achieve accurate identification, coordinated response, and fault-tolerant compensation. This can easily lead to delayed emergency actions or the paralysis of the entire emergency system due to the failure of a single module. It is difficult to ensure the stable operation of the low-voltage electrical systems of water conservancy gate systems and the normal opening and closing of gates in extreme scenarios of unmanned operation and traffic disruptions, severely impacting the core functions of flood control and water conveyance in border high-altitude desert water conservancy gate systems.

[0003] In existing technologies, low-voltage electrical emergency control for hydraulic gate hoist groups mostly adopts a single-cause response mode, which can only carry out simple emergency operations for a certain emergency scenario and lacks the ability to comprehensively identify and coordinate multiple causes. At the same time, the monitoring module is susceptible to signal distortion due to ice particle impact and lacks an effective fault tolerance mechanism. Once the sensing unit or signal acquisition unit fails, it will directly lead to monitoring interruption and emergency misjudgment. In addition, existing methods do not consider the unstable low-voltage power supply in border areas, cannot achieve dynamic distribution of power supply load, and lack an effective detection and closed-loop adjustment mechanism for emergency effects. The emergency control accuracy is low and the reliability is poor, making it difficult to adapt to the extreme application scenarios of hydraulic gate groups in cold and arid border areas. In view of this, we propose a low-voltage electrical emergency linkage control method for hydraulic multi-gate hoist groups. Summary of the Invention

[0004] The purpose of this invention is to provide a low-voltage electrical emergency linkage control method for multi-gate control groups in water conservancy, in order to solve the technical problems of insufficient closed-loop emergency response and poor module linkage in existing control methods in extreme unattended scenarios of border high-altitude and cold desert water conservancy gate groups, which are prone to emergency failure and system paralysis due to multiple superimposed factors.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a low-voltage electrical emergency linkage control method for a multi-gate control system in hydraulic engineering, comprising the following steps: S1. By integrating multiple types of sensing units into the monitoring module, the environmental factors and low-voltage electrical operating status of the gate group are collected in real time. The correlation algorithm is constructed to achieve accurate identification of emergency factors and compensation for signal distortion, while also having fault tolerance capability. S2. Based on the identification results, the low-pressure driven flexible buffer protection module is activated to achieve synergy between ice particle impact protection and gate deformation prevention. S3. Synchronously start the collaborative de-icing module to clean the porous ice formed by the mixture of ice particles and snow, and avoid clogging of the gate slot; S4, linked with the low-voltage electrical emergency repair module and the sealing compensation module, can autonomously repair electrical component failures and seal damage, preventing ice water from entering; S5. Through energy storage and load distribution modules, it adapts to the instability of low-voltage power supply and ensures the continuity of emergency response. S6 integrates all modules to achieve autonomous closed-loop control throughout the entire process, with fault-tolerant linkage capabilities, avoiding the paralysis of the emergency system due to the failure of a single module, and realizing integrated emergency linkage.

[0006] Preferably, the monitoring module is a dual-mode fault-tolerant monitoring module for ice particle impact and signal distortion, integrating an impact sensing unit, an ice particle sensing unit, a wind speed sensing unit, and an electrical signal acquisition unit. The specific process of S1 includes: S101. Real-time synchronous acquisition of the impact, ice particle status, wind conditions and low-voltage electrical component operation signals in the environment where the gate group is located. S102. Transmit the collected data to the control unit; S103 The control unit uses a preset correlation algorithm to distinguish between three emergency causes: ice particle impact, electrical freeze-thaw, and voltage fluctuation, while compensating for signal distortion caused by ice particle impact. The association algorithm includes the calculation of the emergency trigger identification coefficient: ; Signal distortion compensation formula: , ; in, For identifying emergency triggers; , , , For adaptation coefficients; The impact strength of ice particles; This is the standard threshold for ice particle impact strength; The ice particle size; Standard threshold for ice particle size; Wind speed; This refers to the standard threshold for wind speed. This is the original operating signal for low-voltage electrical components; Standard operating signals for low-voltage electrical components; This is the amount of signal distortion compensation; The electrical operating signal is distorted due to the impact of ice particles; To provide accurate electrical operating signals after compensation.

[0007] Preferably, the fault tolerance function of S1 specifically includes: S104. When any sensing or signal acquisition unit fails, the control unit calls the emergency cause identification coefficient of the remaining normal units. and the compensated signal ; S105, according to the formula The monitoring data of the failed units are calculated in a coordinated manner to ensure that the monitoring process is not interrupted. in, The values ​​are extrapolated from the monitoring data of the failed unit; For the first Emergency trigger identification coefficients corresponding to each normal sensing unit; For the first Compensated monitoring signals collected by a normal sensing unit; This represents the number of remaining normal sensing units.

[0008] Preferably, the low-pressure driven flexible buffer protection module includes a composite protection structure and a low-pressure drive unit. The composite protection structure is fitted to the gate panel and the water-stop sealing surface. The specific process of S2 includes: S201. The control unit starts the low-pressure drive unit according to the cause of ice particle impact, drives the protective structure to unfold and fit against the gate surface, resists the impact and puncture of ice particles and absorbs stress. S202: The protective structure has an embedded low-pressure heating unit that starts heating simultaneously when the protective function is activated, melting the ice particles attached to the surface.

[0009] Preferably, the collaborative de-icing module includes a vibration de-icing unit, a hot air circulation unit, and a flow guiding unit, and the specific process of S3 includes: S301: The control unit synchronously starts the vibration de-icing unit and the hot air circulation unit according to the cause of ice accumulation. The vibration process causes the porous ice to fall off, and the hot air circulation unit melts and removes the ice particles. S302, the flow diversion unit starts synchronously to discharge the melted ice water and detached ice particles out of the gate slot; S303: The control unit prioritizes cleaning key parts of the gate slot and the connection of the hoist based on the distribution of ice accumulation, and then cleans the remaining parts to improve de-icing efficiency and reduce power supply load.

[0010] Preferably, the low-voltage electrical emergency repair module includes an electrical signal compensation unit, a contact repair unit, a moisture-proof heating unit, and an electrical circuit detection unit. The specific process of S4 includes: S401. The control unit determines the failure type of electrical components based on the failure cause. S402. If the signal is distorted, activate the electrical signal compensation unit to correct the signal; if the contact is damaged, activate the contact repair unit to restore conductivity, and activate the moisture-proof heating unit at the same time. S403. During the repair process, the electrical circuit detection unit detects the circuit continuity status in real time and feeds it back to the control unit, which then dynamically adjusts the repair strategy. S404. After the repair is completed, continuously monitor the status of the electrical circuit.

[0011] Preferably, the sealing compensation module includes a sealing monitoring unit, a flexible compensation unit, and an ice-water isolation unit, and the specific process of S4 includes: S405, The sealing monitoring unit monitors the condition of the gate's water-stop sealing surface in real time; S406. When a seal is detected to be damaged or deformed, a signal is sent back to the control unit. S407. The control unit activates the flexible compensation unit, driving the compensation structure to fill the sealing gap and temporarily restore the sealing performance. S408. Synchronously activate the ice water isolation unit to seal and isolate the entrance to the electrical control cabinet, preventing ice water from entering.

[0012] Preferably, the energy storage and load distribution module includes a low-voltage energy storage unit and a load distribution unit, and the specific process of S5 includes: S501, Low-voltage energy storage unit stores low-voltage electrical energy in real time; S502: When a momentary low-voltage power failure is detected, the control unit immediately starts the low-voltage energy storage unit to supply power to each core module. S503, the load distribution unit, according to the priority of emergency triggers, follows... Calculate priority coefficients, according to Distribute the power supply load to each module; in, For the first Load allocation priority coefficients for various emergency triggers; For the first Emergency trigger identification coefficients corresponding to various emergency triggers; It is the sum of the identification coefficients of the four emergency triggers; For the first Power load allocation for each core module; This refers to the total power supply load of the low-voltage power supply system.

[0013] Preferably, the fault-tolerant linkage capability of S6 is implemented through a fault-tolerant control unit, specifically including: S601, the fault-tolerant control unit monitors the operating status of each module in real time; S602. When a module failure is detected, the backup linkage logic shall be activated immediately: when the de-icing module fails, the hoist parameters shall be adjusted to assist in clearing the accumulated ice; when the protection module fails, the monitoring frequency shall be increased and electrical protection shall be activated in advance; when some units of the monitoring module fail, the monitoring data shall be supplemented and the emergency response sensitivity of the remaining modules shall be adjusted.

[0014] Preferably, the full-process autonomous closed-loop control of S6 specifically includes: S603, Monitoring and Identification Phase: Emergency triggers and electrical operating status are collected and identified through S1; S604, Emergency Response Phase: Based on the identification results, the modules corresponding to S2 to S5 are activated to achieve coordinated emergency response; S605, the effectiveness testing phase, tests five categories of effectiveness: impact protection, ice removal, electrical component operating status, gate sealing performance, and low-voltage power supply stability. Calculate the overall evaluation value; S606, during the closed-loop adjustment phase, if ,according to ; Adjust the module's operating parameters and repeat steps S604 to S606 until the target is met; in, This is a comprehensive evaluation value for the emergency response effect; For the first Emergency response effectiveness test values ​​for each core module; The number of core modules involved in emergency response; To preset the emergency response threshold; For the first Adjustments to the operating parameters of each core module; For the first The parameter adjustment coefficients for each module; These are the original operating parameters of the module; The adjusted module operating parameters.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention integrates a monitoring module, a low-voltage driven flexible buffer protection module, a collaborative de-icing module, a low-voltage electrical emergency repair module, a sealing compensation module, and an energy storage and load distribution module through a pre-set six-step collaborative emergency response procedure. This achieves fully autonomous control of the entire process, from emergency cause identification and collaborative response to fault tolerance compensation, effect detection, and closed-loop adjustment. The modules work together in a coordinated manner to accurately address situations where multiple emergency causes overlap, such as ice particle impact, ice blockage, and electrical failure. The entire emergency operation can be completed without manual intervention, making it suitable for extreme scenarios such as unattended operation and traffic disruptions. Simultaneously, the fault-tolerant linkage design avoids system paralysis caused by the failure of a single module, ensuring continuous and stable emergency actions. This effectively guarantees the stable operation of the low-voltage electrical system of the border high-altitude desert water conservancy sluice gate group and the normal opening and closing of the gates, ensuring the normal functioning of the sluice gate group's core functions such as flood control and water conveyance.

[0016] 2. This invention also optimizes the structural design and working logic of the monitoring module, adopting a dual-mode fault-tolerant monitoring mode of ice particle impact and signal distortion. It integrates multiple types of sensing units, enabling simultaneous acquisition of environmental triggers and low-voltage electrical operating status data. Through correlation algorithms, it achieves accurate differentiation of emergency triggers and real-time compensation for signal distortion, avoiding monitoring signal distortion caused by ice particle impact and ensuring the accuracy of emergency identification results. Simultaneously, the monitoring module possesses comprehensive fault-tolerant capabilities. When any sensing unit or signal acquisition unit fails, the monitoring data of the failed unit can be inferred through data linkage from the remaining normal units, ensuring uninterrupted monitoring and avoiding problems such as emergency delays and misjudgments caused by monitoring interruptions. This further enhances the reliability of the entire process autonomous closed-loop emergency control, providing accurate and continuous monitoring data support for the coordinated response of various emergency modules, ensuring that emergency actions can accurately adapt to the needs of actual emergency scenarios.

[0017] 3. This invention also utilizes the collaborative design of energy storage and load distribution modules to store low-voltage electrical energy in real time. This allows for rapid activation of the energy storage power supply during momentary low-voltage power outages, ensuring the continuity of emergency operations and perfectly adapting to scenarios with unstable low-voltage power supply in border areas. Simultaneously, it dynamically allocates power load based on the priority of emergency triggers, prioritizing power resources for core emergency modules, thus avoiding damage to electrical components due to power overload and reducing emergency energy consumption. Furthermore, through a closed-loop adjustment mechanism, it monitors five types of emergency effects in real time during emergency response, dynamically adjusting the operating parameters of each module based on comprehensive evaluation results. This continuously optimizes emergency strategies, ensuring that the emergency effect achieves the expected goals. This not only improves the accuracy of emergency control but also reduces equipment wear and tear during emergency operations, extending the service life of gates, electrical components, and other equipment. It also reduces the equipment maintenance costs of border high-altitude desert-type water conservancy gate groups, further ensuring the long-term stable operation of the gate group. Attached Figure Description

[0018] Figure 1This is a schematic diagram of the overall emergency response process of the present invention; Figure 2 This is a schematic diagram of the monitoring, data collection, and cause identification process of the present invention; Figure 3 This is a schematic diagram of the linkage process of the core emergency module of the present invention; Figure 4 This is a schematic diagram of the closed-loop control and fault tolerance of the entire process of the present invention. Detailed Implementation

[0019] To facilitate understanding of the technical solution of the present invention by those skilled in the art, the technical solution of the present invention will now be further described in conjunction with the accompanying drawings.

[0020] Example 1, such as Figures 1-4 As shown, this invention provides a low-voltage electrical emergency linkage control method for hydraulic multi-gate control groups, comprising the following steps: S1. By integrating multiple types of sensing units into the monitoring module, the environmental factors and low-voltage electrical operating status of the gate group are collected in real time. The correlation algorithm is constructed to realize the accurate identification of emergency factors and signal distortion compensation, while also having fault tolerance capability. S2. Based on the identification results, the low-pressure driven flexible buffer protection module is activated to achieve synergy between ice particle impact protection and gate deformation prevention. S3. Synchronously start the collaborative de-icing module to clean the porous ice formed by the mixture of ice particles and snow, and avoid clogging of the gate slot; S4, linked with the low-voltage electrical emergency repair module and the sealing compensation module, can autonomously repair electrical component failures and seal damage, preventing ice water from entering; S5. Through energy storage and load distribution modules, it adapts to the instability of low-voltage power supply and ensures the continuity of emergency response. S6 integrates all modules to achieve autonomous closed-loop control throughout the entire process, with fault-tolerant linkage capabilities, avoiding the paralysis of the emergency system due to the failure of a single module.

[0021] In an embodiment of the present invention, the monitoring module is a dual-mode fault-tolerant monitoring module for ice particle impact and signal distortion, integrating an impact sensing unit, an ice particle sensing unit, a wind speed sensing unit, and an electrical signal acquisition unit. The working process of the monitoring module includes: S101. Real-time synchronous acquisition of the impact, ice particle status, wind conditions and operating signals of low-voltage electrical components in the environment where the gate group is located. S102. Transmit the collected data to the control unit; S103. The control unit uses a preset correlation algorithm to accurately distinguish between three emergency causes: ice particle impact, electrical freeze-thaw, and voltage fluctuation. At the same time, it compensates in real time for the signal distortion of the sensing unit caused by ice particle impact to ensure the accuracy of the monitoring signal. To achieve accurate identification of emergency triggers and compensation for signal distortion, the correlation algorithm and specific calculation formula for signal distortion compensation are as follows: Calculation of emergency trigger identification coefficient: ; when At that time, it was determined that the main emergency trigger was ice particle impact; when At that time, the primary emergency cause was determined to be electrical freeze-thaw; when At that time, it was determined that the main emergency trigger was voltage fluctuation; in, The emergency trigger identification coefficient is dimensionless and its core function is to quantify the comprehensive intensity of various emergency triggers. It is used to accurately distinguish between three types of emergency triggers: ice particle impact, electrical freeze-thaw, and voltage fluctuation, providing a basis for judgment in subsequent emergency response. , , , The adaptation coefficients are all dimensionless and are used to balance the weights of the four types of collected data—ice particle impact, ice particle size, wind speed, and electrical operation signals—in the cause identification process, ensuring that the identification results meet the requirements of extreme scenarios. Ice particle impact intensity refers to the impact force of ice particles on gates and electrical equipment, which is collected in real time by the impact sensing unit in the monitoring module. It directly reflects the intensity of the ice particle impact cause. This is the standard threshold for ice particle impact intensity, a preset reference benchmark used to standardize ice particle impact intensity and eliminate the magnitude difference in impact intensity under different scenarios. The ice particle size is collected in real time by the ice particle sensing unit in the monitoring module, reflecting the size characteristics of the ice particles and helping to determine the degree of impact of the ice particles. Ice particle size standard threshold, a preset reference benchmark, is used to standardize the ice particle size and achieve uniformity in magnitude with other collected data; The wind speed is collected in real time by the wind speed sensing unit in the monitoring module, reflecting the wind conditions of the environment where the gate group is located, and helping to judge the superimposed impact of ice particles. A reference benchmark is preset as the standard threshold for wind speed to standardize wind speed and ensure that various environmental data can be used collaboratively in calculations. The original operating signals of low-voltage electrical components are collected in real time by the electrical signal acquisition unit in the monitoring module, reflecting the initial operating status of the low-voltage electrical system and used to determine causes such as voltage fluctuations and electrical freeze-thaw cycles. Standard operating signals for low-voltage electrical components and preset reference signals for normal operation of electrical systems are used to standardize the original electrical operating signals to facilitate collaborative calculations with environmental data. , A preset threshold is set for identifying emergency triggers, which is used to adjust the identification coefficient. Divide the area into intervals to accurately determine the current main emergency trigger types; Combining various environmental and electrical data collected by the monitoring module, the non-standardized data is first converted into dimensionless standardized data. Then, the standardized data is weighted and summed and the difference is calculated using preset adaptation coefficients to obtain the emergency cause identification coefficient, thereby achieving accurate differentiation of the three core emergency causes: ice particle impact, electrical freeze-thaw, and voltage fluctuation.

[0022] Formula for compensating for signal distortion caused by ice particle impact: , ; in, This is the signal distortion compensation amount, reflecting the degree of distortion of electrical operating signals caused by ice particle impact. It is used to correct distorted signals and restore them to an accurate state. The original operating signal of low-voltage electrical components is the initial accurate signal collected by the electrical signal acquisition unit that is not affected by ice particle impact, serving as a compensation benchmark; This is an emergency trigger identification coefficient used to quantify the intensity of ice particle impact and correlate the degree of signal distortion. The electrical operating signal distorted by ice particle impact is the electrical operating signal collected by the electrical signal acquisition unit that is affected by ice particle impact and is distorted. It is the object that needs to be compensated. It serves as the standard operating signal for low-voltage electrical components, acting as a benchmark for signal standardization to ensure the rationality of compensation calculations. The compensated and accurate electrical operation signal is the result of superimposing the distorted signal and the compensation amount, and is used for subsequent electrical system operation status judgment, emergency linkage control and other links; Based on the emergency trigger identification coefficient First, the distorted electrical operating signals are standardized, and then... The signal distortion compensation amount is obtained by linking the standardized distortion signal with the calculation. Finally, the distortion signal and the compensation amount are superimposed to obtain an accurate electrical operation signal. The core is to use the cause identification result to correlate the degree of signal distortion, realize targeted compensation of the distortion signal, and ensure the accuracy of the electrical operation signal.

[0023] In embodiments of the present invention, the monitoring module has fault tolerance functionality, specifically including: S104. The control unit performs linkage calculations based on the data collected by the remaining normal units to supplement the monitoring data of the failed units; S105. Ensure uninterrupted monitoring process, maintain continuity in emergency trigger identification, and avoid delays or misjudgments in emergency response due to the failure of a single monitoring unit. To achieve accurate linkage and extrapolation of failure unit monitoring data, based on the emergency trigger identification coefficient and the compensated signal The specific calculation formula for the above-mentioned linkage calculation is as follows: ; in, The estimated values ​​of the monitoring data for the failed unit are used to supplement the monitoring data of the failed sensing unit or signal acquisition unit, ensuring the continuity and integrity of the monitoring data. The summation operator is used to accumulate the relevant data of all remaining normal sensing units, covering all valid monitoring data; For the first Emergency trigger identification coefficients corresponding to each normal sensing unit; For the first The compensated monitoring signal collected by each normal sensing unit is the accurate value of the signal collected by each normal sensing unit after distortion compensation. This represents the number of remaining normal sensing units, reflecting the scale of effective sensing units in the current monitoring module. It is used to balance the summation results and ensure the rationality of the estimated value. Based on the emergency cause identification coefficient and the accurate electrical operation signal after compensation, the monitoring data estimate of the failed unit is obtained by weighted summation of the relevant data of all remaining normal sensing units and then divided by the number of normal sensing units. The core is to use multi-unit collaborative data to achieve accurate completion of the failed unit data, ensure uninterrupted monitoring process, and reflect the fault tolerance function of the monitoring module.

[0024] In an embodiment of the present invention, the low-pressure driven flexible buffer protection module includes a composite protection structure and a low-pressure driving unit. The composite protection structure is fitted to the gate panel and the water-stop sealing surface. The protection method includes: S201. The control unit starts the low-voltage drive unit based on the ice particle impact cause identified by the monitoring module. S202. Drive the composite protection structure to unfold and fit against the gate surface. The composite protection structure can resist the impact and puncture of ice particles, and at the same time absorb the stress generated by the impact of ice particles, so as to avoid the stress being transmitted to the gate body and causing the gate to deform, thus realizing the coordinated control of ice particle impact protection and gate deformation prevention.

[0025] In an embodiment of the present invention, a low-pressure heating unit is embedded in the composite protective structure. When the control unit starts the protective function, it also starts the low-pressure heating unit to heat and melt the ice particles attached to the surface of the composite protective structure. This prevents the ice particles from freezing and accumulating on the surface of the protective structure, prevents the protective structure from losing its protective effect due to ice accumulation, and reduces the probability of ice particles impacting the protective structure again, thereby extending the service life of the protective structure.

[0026] In an embodiment of the present invention, the collaborative de-icing module includes a vibration de-icing unit, a hot air circulation unit, and a flow guiding unit. The control unit synchronously starts the vibration de-icing unit and the hot air circulation unit according to the cause of ice accumulation identified by the monitoring module. The vibration de-icing unit vibrates the porous ice accumulation at the gate slot and the connection of the hoist to expand the internal pores of the ice accumulation and cause it to fall off. The hot air circulation unit heats and melts the fallen ice accumulation. The flow guiding unit starts simultaneously to guide the melted ice water and fallen ice particles out of the gate slot, avoiding secondary blockage of the gate slot due to ice accumulation and ensuring smooth gate opening and closing.

[0027] In an embodiment of the present invention, the start-up status of the vibration de-icing unit and the hot air circulation unit is controlled by the control unit in conjunction with the ice distribution. Priority is given to de-icing the ice accumulation in key parts of the gate slot and the connection of the hoist. After the ice accumulation in the key parts is cleared, the ice accumulation in the remaining parts is cleared, thereby improving the de-icing efficiency and reducing the low-voltage power supply load.

[0028] In an embodiment of the present invention, the low-voltage electrical emergency repair module includes an electrical signal compensation unit, a contact repair unit, and a moisture-proof heating unit. The control unit determines the failure type based on the failure cause of the electrical component identified by the monitoring module. If it is signal distortion, the electrical signal compensation unit is activated to correct the distorted signal and restore the accuracy of signal transmission. If it is contact damage, the contact repair unit is activated to process the damaged contact and restore the contact conductivity. At the same time, the moisture-proof heating unit is activated to heat the inside of the electrical control cabinet to prevent ice water from entering and causing further failure of electrical components, thus ensuring the stable operation of the low-voltage electrical system.

[0029] In an embodiment of the present invention, the low-voltage electrical emergency repair module further includes an electrical circuit detection unit. During the emergency repair process, the electrical circuit detection unit detects the continuity status of the low-voltage electrical circuit in real time and feeds back the detection results to the control unit. The control unit adjusts the repair strategy according to the detection results to ensure the repair effect. After the repair is completed, the electrical circuit status is continuously monitored to avoid secondary failure.

[0030] In an embodiment of the present invention, the sealing compensation module includes a sealing monitoring unit, a flexible compensation unit, and an ice-water isolation unit. The sealing monitoring unit monitors the sealing status of the gate's water-stop sealing surface in real time. When seal damage or deformation is detected, the unit feeds back a signal to the control unit. The control unit activates the flexible compensation unit, drives the flexible compensation structure to fill the sealing gap, temporarily restores the sealing performance, and prevents ice-water leakage. At the same time, the ice-water isolation unit is activated to seal and isolate the entrance to the electrical control cabinet, preventing leaked ice-water from entering the electrical control cabinet and further ensuring the operational safety of low-voltage electrical components.

[0031] In an embodiment of the present invention, the energy storage and load distribution module includes a low-voltage energy storage unit and a load distribution unit. The energy storage and load distribution method includes: S601: The low-voltage energy storage unit stores low-voltage electrical energy in real time; S602: When a momentary low-voltage power outage is detected in the border gate group, the control unit immediately activates the low-voltage energy storage unit to supply power to each core module of the emergency system, ensuring that emergency actions are not interrupted; S603: The load distribution unit dynamically allocates low-voltage power supply load according to the priority of the emergency trigger identified by the control unit, giving priority to allocating power supply resources to the current core emergency module, avoiding overload of power supply load that could damage electrical components, and ensuring the coordinated and stable operation of each module.

[0032] In an embodiment of the present invention, the priority control logic of the load distribution unit is as follows: when ice particle impact is the main emergency cause, priority is given to allocating power resources to the monitoring module and the low-voltage driven flexible buffer protection module; when porous ice particle accumulation is the main emergency cause, priority is given to allocating power resources to the collaborative de-icing module and the current diversion unit; when electrical component failure is the main emergency cause, priority is given to allocating power resources to the low-voltage electrical emergency repair module and the moisture-proof heating unit; when seal damage is the main emergency cause, priority is given to allocating power resources to the seal compensation module and the ice-water isolation unit, thereby achieving dynamic adaptation of the power supply load. To achieve accurate and dynamic adaptation of power supply load, based on emergency trigger identification coefficients The specific calculation formula for load allocation priority is as follows: Calculation of load allocation priority coefficients for each emergency trigger: ; in, For the first The load allocation priority coefficient for each type of emergency trigger is used to quantify the urgency and importance of each type of emergency trigger. The higher the priority coefficient, the more power load the corresponding emergency module receives. For the first Emergency trigger identification coefficients corresponding to various emergency triggers; The sum of the four emergency trigger identification coefficients is used to identify a single emergency trigger. Perform normalization processing to ensure that all The sum is dimensionless and can intuitively reflect the relative intensity of various inducing factors; This formula quantifies the priority of emergency triggers through normalization operations, accurately distinguishes the urgency of different triggers in various emergency scenarios, provides a scientific basis for the dynamic allocation of power load, avoids the blindness of power load allocation, ensures that the core emergency module can obtain sufficient power resources first, adapts to the scenario of unstable low-voltage power supply in the border gate group, and improves the continuity and reliability of emergency actions. Calculation of power supply load distribution for each module: ; in, For the first The power load allocation of each core module reflects the scale of power resources obtained by the core emergency module, ensuring that the module can start up and operate normally; The total power load of the low-voltage power supply system reflects the total amount of power supply resources that can be allocated in the entire emergency system, and serves as the basic benchmark for load allocation; This formula, combined with emergency trigger priority, enables dynamic adaptation and allocation of power supply load. Based on the current core emergency needs, it can prioritize the allocation of limited low-voltage power supply resources to the most urgently needed emergency modules, effectively avoiding damage to electrical components caused by power supply overload. At the same time, it ensures the power supply needs of each emergency module to operate in coordination, guaranteeing the continuity and stability of emergency actions, and adapting to extreme scenarios where the low-voltage power supply of border gate groups is unstable.

[0033] In embodiments of the present invention, fault tolerance capability is achieved through a fault-tolerant control unit. The fault-tolerant control unit monitors the operating status of each module of the emergency system in real time. When a failure of a certain module is detected, the backup linkage logic is immediately activated to adjust the operating parameters of the remaining normal modules. The normal modules temporarily assume the core functions of the failed module, thereby avoiding the paralysis of the entire emergency system due to the failure of a single module and ensuring the continuous stability of the emergency control process.

[0034] In an embodiment of the present invention, the backup linkage logic includes: when the collaborative de-icing module fails, the control unit adjusts the operating parameters of the gate hoist and assists in clearing accumulated ice through intermittent micro-motion of the gate hoist; when the low-voltage driven flexible buffer protection module fails, the control unit increases the monitoring frequency of the monitoring module and adjusts the activation threshold of the low-voltage electrical emergency repair module to activate the electrical protection function in advance; when some units of the monitoring module fail, the fault-tolerant function supplements the monitoring data and adjusts the emergency response sensitivity of the remaining modules to ensure that emergency control is not affected.

[0035] In embodiments of the present invention, the fully autonomous closed-loop control includes a monitoring and identification phase, an emergency response phase, an effect detection phase, and a closed-loop adjustment phase, specifically: During the monitoring and identification phase, the monitoring module collects and identifies emergency triggers and electrical operating status. During the emergency response phase, based on the identification results, the corresponding low-voltage driven flexible buffer protection module, collaborative de-icing module, low-voltage electrical emergency repair module, sealing compensation module, and energy storage and load distribution module are activated to achieve collaborative emergency response. During the effectiveness evaluation phase, the feedback units of each module are used to evaluate the emergency response effectiveness and determine whether the emergency objectives have been achieved. During the closed-loop adjustment phase, based on the effect detection results, the control unit adjusts the operating parameters of each module and optimizes the emergency strategy. If the emergency target is not achieved, the emergency linkage phase is repeated until the emergency control is completed.

[0036] To achieve accurate judgment of the effect and parameter optimization of the whole process autonomous closed-loop control, based on the load distribution priority coefficient The core calculation formulas for effect detection, evaluation, and parameter adjustment are as follows: Calculation of comprehensive evaluation value of emergency response effect: ; when When the emergency response is deemed effective, it is determined that the emergency response has met the standards. If the emergency response is deemed ineffective, a closed-loop adjustment phase will begin. in, This is a comprehensive evaluation value for emergency response effectiveness, used to fully quantify the emergency control effectiveness of the entire emergency system and intuitively reflect whether emergency actions have achieved the expected goals. For the first The emergency response effectiveness test value of each core module is used to quantify the emergency response effectiveness of a single core module and reflect whether the module has completed the corresponding emergency task. The number of core modules involved in the emergency response reflects the scale of modules involved in the current emergency action, and is used to ensure that all modules involved in the emergency response are included in the effectiveness evaluation. A preset emergency response threshold is used to evaluate the comprehensive assessment value. Make a judgment to distinguish whether the emergency response has met the standards, and provide a benchmark for closed-loop adjustment; This formula combines the priority of emergency modules to comprehensively evaluate the overall emergency effect, which can fully and accurately reflect the emergency control effect of the entire emergency system. It avoids the one-sidedness of evaluating the effect of a single module, provides a scientific basis for judgment in the closed-loop adjustment phase, and ensures that the emergency system can promptly identify substandard links, optimize emergency strategies in a targeted manner, and improve the accuracy and effectiveness of emergency control. Formula for adjusting module operating parameters: ; ; in, For the first The adjustment amount of the operating parameters of each core module reflects the extent to which the operating parameters of that module need to be adjusted, in order to optimize the operating status of the module and improve the emergency response effect; For the first The parameter adjustment coefficients for each module are used to adapt to the adjustment needs of different types of modules and balance the adjustment range of each module. These are the original operating parameters of the module, reflecting the module's operating status before adjustment, and serving as the basis for parameter adjustment; The adjusted module operating parameters represent the optimized operating status of the module, used to improve the module's emergency response capabilities and ensure that the emergency system achieves its expected goals. This formula enables targeted and precise adjustment of the operating parameters of emergency modules. Based on the actual achievement of emergency effects, combined with module priority and type, it optimizes the operating parameters of each module, avoiding blind parameter adjustments, effectively improving the rationality and adaptability of emergency strategies, and ensuring that the emergency system can gradually achieve the expected emergency goals through closed-loop adjustments, realizing full-process autonomous closed-loop control.

[0037] In embodiments of the present invention, the detection content of the effect detection stage includes: The system detects the effectiveness of ice particle impact protection on the gate surface, the effectiveness of ice removal from the gate slot, the operating status of low-voltage electrical components, the gate sealing performance, and the stability of low-voltage power supply. The test results are fed back to the control unit in real time. The control unit determines whether each test indicator meets the preset emergency target. If there are any indicators that do not meet the target, the operating parameters of the corresponding modules are adjusted accordingly to ensure that the emergency control achieves the expected effect. To accurately calculate the effectiveness values ​​of each testing indicator, the specific quantitative calculation formulas for each testing item are as follows: Gate surface ice particle impact protection value: ; in, This represents the protection effect value against ice particle impact on the gate surface, corresponding to the quantitative value of impact protection effect in the comprehensive evaluation of emergency effects, reflecting the emergency effect of the low-pressure driven flexible buffer protection module; The ice particle impact intensity is collected by the impact sensing unit and represents the initial intensity of the ice particle impact on the gate, serving as a benchmark for evaluating the protection effect. The remaining impact strength after passing through the low-voltage driven flexible buffer protection module is collected by the impact sensing unit, reflecting the impact strength after the protection module has acted, and is used as the actual test data. Gate slot ice removal effect value: ; in, This is the value for the ice removal effect in the gate slot, corresponding to the quantitative value of the ice removal effect in the comprehensive evaluation of emergency effects, reflecting the emergency effect of the collaborative de-icing module; The total volume of ice accumulation in the gate slot before cleaning is calculated by the ice particle sensing unit and serves as the initial volume before ice removal, which is used as a benchmark for evaluating the cleaning effect. The volume of remaining ice after cleaning is calculated by the ice particle sensing unit, reflecting the ice volume after the de-icing module's action, and serves as the actual detection data.

[0038] Operating status effect values ​​of low-voltage electrical components: ; in, This represents the operational status effect value of low-voltage electrical components, corresponding to the quantitative value of electrical operation effect in the comprehensive evaluation of emergency response, reflecting the emergency response effect of the low-voltage electrical emergency repair module; To obtain accurate electrical operating signals after compensation, which will serve as actual electrical operating status data for testing; It serves as a standard operating signal for low-voltage electrical components and as a benchmark for evaluating their electrical operating status.

[0039] Gate sealing performance value: ; in, This is the gate sealing performance value, corresponding to the quantitative value of the sealing compensation effect in the comprehensive evaluation of emergency effects, reflecting the emergency effect of the sealing compensation module; The width of the sealed gap is collected by the sealing monitoring unit and is the actual gap width after sealing compensation, serving as the actual test data. The maximum allowable sealing gap width is set as a preset sealing performance benchmark, which serves as the basis for evaluating the sealing effect.

[0040] Low-voltage power supply stability performance value: ; in, This is the low-voltage power supply stability effect value, corresponding to the power supply stability effect quantification value in the comprehensive evaluation of emergency effects, reflecting the emergency effect of the energy storage and load distribution modules; The standard power supply load for each module is the preset power supply load benchmark required for normal module operation, serving as a benchmark for power supply stability assessment.

[0041] The embodiments disclosed in this invention are preferred embodiments, but are not limited thereto. Those skilled in the art can easily understand the spirit of this invention based on the above embodiments and make different extensions and variations, but as long as they do not depart from the spirit of this invention, they are all within the protection scope of this invention.

Claims

1. A low-voltage electrical emergency linkage control method for hydraulic multi-gate control groups, characterized in that, Includes the following steps: S1. By integrating multiple types of sensing units into the monitoring module, the environmental factors and low-voltage electrical operating status of the gate group are collected in real time. The correlation algorithm is constructed to achieve accurate identification of emergency factors and compensation for signal distortion, while also having fault tolerance capability. S2. Based on the identification results, the low-pressure driven flexible buffer protection module is activated to achieve synergy between ice particle impact protection and gate deformation prevention. S3. Synchronously start the collaborative de-icing module to clean the porous ice formed by the mixture of ice particles and snow, and avoid clogging of the gate slot; S4, linked with the low-voltage electrical emergency repair module and the sealing compensation module, can autonomously repair electrical component failures and seal damage, preventing ice water from entering; S5. Through energy storage and load distribution modules, it adapts to the instability of low-voltage power supply and ensures the continuity of emergency response. S6 integrates all modules to achieve autonomous closed-loop control throughout the entire process, with fault-tolerant linkage capabilities, avoiding the paralysis of the emergency system due to the failure of a single module, and realizing integrated emergency linkage.

2. The low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The monitoring module is a dual-mode fault-tolerant monitoring module for ice particle impact and signal distortion, integrating an impact sensing unit, an ice particle sensing unit, a wind speed sensing unit, and an electrical signal acquisition unit. The specific process of S1 includes: S101. Real-time synchronous acquisition of the impact, ice particle status, wind conditions and low-voltage electrical component operation signals in the environment where the gate group is located. S102. Transmit the collected data to the control unit; S103 The control unit uses a preset correlation algorithm to distinguish between three emergency causes: ice particle impact, electrical freeze-thaw, and voltage fluctuation, while compensating for signal distortion caused by ice particle impact. The association algorithm includes the calculation of the emergency trigger identification coefficient: ; Signal distortion compensation formula: , ; in, For identifying emergency triggers; , , , For adaptation coefficients; The impact strength of ice particles; This is the standard threshold for ice particle impact strength; The ice particle size; Standard threshold for ice particle size; Wind speed; This refers to the standard threshold for wind speed. This is the original operating signal for low-voltage electrical components; Standard operating signals for low-voltage electrical components; This is the amount of signal distortion compensation; The electrical operating signal is distorted due to the impact of ice particles; To provide accurate electrical operating signals after compensation.

3. The low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 2, characterized in that, The fault tolerance function of S1 specifically includes: S104. When any sensing or signal acquisition unit fails, the control unit calls the emergency cause identification coefficient of the remaining normal units. and the compensated signal ; S105, according to the formula The monitoring data of the failed units are calculated in a coordinated manner to ensure that the monitoring process is not interrupted. in, The values ​​are extrapolated from the monitoring data of the failed unit; For the first Emergency trigger identification coefficients corresponding to each normal sensing unit; For the first Compensated monitoring signals collected by a normal sensing unit; This represents the number of remaining normal sensing units.

4. The low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The low-pressure driven flexible buffer protection module includes a composite protection structure and a low-pressure drive unit. The composite protection structure is fitted to the gate panel and the water-stop sealing surface. The specific process of S2 includes: S201. The control unit starts the low-pressure drive unit according to the cause of ice particle impact, drives the protective structure to unfold and fit against the gate surface, resists the impact and puncture of ice particles and absorbs stress. S202: The protective structure has an embedded low-pressure heating unit that starts heating simultaneously when the protective function is activated, melting the ice particles attached to the surface.

5. A low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The collaborative de-icing module includes a vibration de-icing unit, a hot air circulation unit, and a flow guiding unit. The specific process of S3 includes: S301: The control unit synchronously starts the vibration de-icing unit and the hot air circulation unit according to the cause of ice accumulation. The vibration process causes the porous ice to fall off, and the hot air circulation unit melts and removes the ice particles. S302, the flow diversion unit starts synchronously to discharge the melted ice water and detached ice particles out of the gate slot; S303: The control unit prioritizes cleaning key parts of the gate slot and the connection of the hoist based on the distribution of ice accumulation, and then cleans the remaining parts to improve de-icing efficiency and reduce power supply load.

6. The low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The low-voltage electrical emergency repair module includes an electrical signal compensation unit, a contact repair unit, a moisture-proof heating unit, and an electrical circuit detection unit. The specific process of S4 includes: S401. The control unit determines the failure type of electrical components based on the failure cause. S402. If the signal is distorted, activate the electrical signal compensation unit to correct the signal; if the contact is damaged, activate the contact repair unit to restore conductivity, and activate the moisture-proof heating unit at the same time. S403. During the repair process, the electrical circuit detection unit detects the circuit continuity status in real time and feeds it back to the control unit, which then dynamically adjusts the repair strategy. S404. After the repair is completed, continuously monitor the status of the electrical circuit.

7. A low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The sealing compensation module includes a sealing monitoring unit, a flexible compensation unit, and an ice-water isolation unit. The specific process of S4 includes: S405, The sealing monitoring unit monitors the condition of the gate's water-stop sealing surface in real time; S406. When a seal is detected to be damaged or deformed, a signal is sent back to the control unit. S407. The control unit activates the flexible compensation unit, driving the compensation structure to fill the sealing gap and temporarily restore the sealing performance. S408. Synchronously activate the ice water isolation unit to seal and isolate the entrance to the electrical control cabinet, preventing ice water from entering.

8. A low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The energy storage and load distribution module includes a low-voltage energy storage unit and a load distribution unit. The specific process of S5 includes: S501, Low-voltage energy storage unit stores low-voltage electrical energy in real time; S502: When a momentary low-voltage power failure is detected, the control unit immediately starts the low-voltage energy storage unit to supply power to each core module. S503, the load distribution unit, according to the priority of emergency triggers, follows... Calculate priority coefficients, according to Distribute the power supply load to each module; in, For the first Load allocation priority coefficients for various emergency triggers; For the first Emergency trigger identification coefficients corresponding to various emergency triggers; It is the sum of the identification coefficients of the four emergency triggers; For the first Power load allocation for each core module; This refers to the total power supply load of the low-voltage power supply system.

9. A low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The fault-tolerant linkage capability of S6 is achieved through a fault-tolerant control unit, specifically including: S601, the fault-tolerant control unit monitors the operating status of each module in real time; S602. When a module failure is detected, the backup linkage logic shall be activated immediately: when the de-icing module fails, the hoist parameters shall be adjusted to assist in clearing the accumulated ice; when the protection module fails, the monitoring frequency shall be increased and electrical protection shall be activated in advance; when some units of the monitoring module fail, the monitoring data shall be supplemented and the emergency response sensitivity of the remaining modules shall be adjusted.

10. A low-voltage electrical emergency linkage control method for a multi-gate control group in hydraulic engineering according to claim 1, characterized in that, The full-process autonomous closed-loop control of S6 specifically includes: S603, Monitoring and Identification Phase: Emergency triggers and electrical operating status are collected and identified through S1; S604, Emergency Response Phase: Based on the identification results, the modules corresponding to S2 to S5 are activated to achieve coordinated emergency response; S605, the effectiveness testing phase, tests five categories of effectiveness: impact protection, ice removal, electrical component operating status, gate sealing performance, and low-voltage power supply stability. Calculate the overall evaluation value; S606, during the closed-loop adjustment phase, if ,according to ; Adjust the module's operating parameters and repeat steps S604 to S606 until the target is met; in, This is a comprehensive evaluation value for the emergency response effect; For the first Emergency response effectiveness test values ​​for each core module; The number of core modules involved in emergency response; To preset the emergency response threshold; For the first Adjustments to the operating parameters of each core module; For the first The parameter adjustment coefficients for each module; These are the original operating parameters of the module; These are the adjusted module operating parameters.

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