A power distribution terminal panel multi-keyboard cooperative operation method and system

Abstract

This invention relates to the technical field of power distribution terminals, specifically including a method and system for multi-button collaborative operation of a power distribution terminal panel. The method includes: identifying functional target parameters and anti-misoperation constraint parameters in multi-button input operations; determining operation mode dependencies; dynamically verifying operation response parameters; loading them into the power distribution terminal actuator; and configuring communication interaction protocols and operation semantic mapping rules. This invention solves the technical problems of insufficient reliability in power distribution terminal operation caused by relying solely on single button signals or simple combination logic to determine operation targets, and by using static factors such as key physical spacing for anti-misoperation settings. It achieves the technical effect of identifying functional target parameters through button timing signals and terminal operating modes, dynamically fusing multi-dimensional constraint parameters such as button proximity interference index and misoperation history factors, and dynamically verifying operation response parameters in conjunction with power distribution safety constraints. This improves the stability of operation response under environmental fluctuations and ensures the safety and reliability of power distribution terminal operation.

Description

Technical Field

[0001] This invention relates to the technical field of power distribution terminals, specifically to a method and system for multi-button collaborative operation of a power distribution terminal panel. Background Technology

[0002] With increasingly complex functions, single-button operation can no longer meet the needs of multi-task collaborative operation such as load switching, parameter configuration, and fault handling. Multi-button combinations require multi-button operation to be efficient and convenient, while strictly ensuring operational safety to avoid accidental touches that could cause power grid accidents.

[0003] However, current power distribution terminal panel multi-button operation relies on a single button signal or simple combination logic to determine the operation target. Anti-accidental touch design mostly considers only the physical spacing of the buttons. Verified instructions cannot be efficiently synchronized to the actuator, or permission conflicts may occur during execution. In addition, when the terminal power supply fluctuates, the button response delay increases, further aggravating the risk of operation misjudgment and seriously restricting the reliability and safety of power distribution terminal operation.

[0004] In summary, existing technologies suffer from insufficient reliability in power distribution terminal operation due to relying solely on a single button signal or simple combination logic to determine the operation target, and the anti-accidental touch settings being based on static factors such as the physical spacing between buttons. Summary of the Invention

[0005] This application provides a method and system for multi-button collaborative operation of a power distribution terminal panel, aiming to solve the technical problem of insufficient reliability in the operation of power distribution terminals in the prior art, which relies solely on a single button signal or simple combination logic to determine the operation target and on static factors such as the physical spacing between buttons to prevent accidental touches.

[0006] In view of the above problems, the technical solution to achieve the present application is as follows: In a first aspect, this application provides a method for multi-button collaborative operation of a power distribution terminal panel. The method includes: responding to a user's multi-button input operation on the power distribution terminal panel; simultaneously acquiring button timing signals, button combination states, and the current operating mode of the panel, and recording operation response parameters; identifying functional target parameters in the multi-button input operation based on the triggering order of the button timing signals and the current operating mode of the panel; identifying anti-mistouch constraint parameters in the multi-button input operation based on the physical layout relationship of the button combination states and the current operating mode of the panel; determining operation mode dependencies based on the functional target parameters and the anti-mistouch constraint parameters; dynamically verifying the operation response parameters according to the valid operation instruction set corrected by the operation mode dependencies and in conjunction with power distribution safety constraints; loading the verified operation response parameters into the power distribution terminal actuator; and configuring a communication interaction protocol and operation semantic mapping rules.

[0007] Preferably, the key timing signal includes the key press time, release time, double-click interval, and timing overlap; the key combination state covers the adjacency relationship and function grouping of all physical keys on the power distribution terminal panel; the operation response parameters include key press duration, key combination order, and pre-control button activation state.

[0008] Preferably, the functional target parameters include a main function key identifier, an auxiliary modifier key identifier, and an operation semantic strength; wherein, the main function key identifier and the auxiliary modifier key identifier are determined by acquiring the level state of the corresponding keys through independent GPIO channels, and the operation semantic strength is the timing coupling coefficient between the main function key and the auxiliary modifier key.

[0009] Preferably, the anti-accidental touch constraint parameters include a key proximity interference index, a historical frequency factor for accidental operation, and a mode sensitivity weight; wherein, the key proximity interference index is determined by the minimum distance between adjacent keys in the physical layout and the pressure threshold; the historical frequency factor for accidental operation is positively correlated with user operating habits and is determined by statistical conversion through a sliding window of local operation logs; the mode sensitivity weight is the percentage of permission levels of critical operations in the current operating mode.

[0010] Preferably, based on the modified valid operation instruction set, a joint control matching is performed with the function instruction tree of the power distribution terminal panel to construct a full-mode operation target matrix; the matching confidence of the full-mode operation target matrix is ​​introduced, and the matching confidence is strengthened and verified through a Transformer-based multimodal anti-misjudgment network; when the matching confidence reaches the standard and the convergence termination condition of the operation safety verification function is met, the execution instruction is allowed to be output to the power distribution terminal actuator.

[0011] Preferably, the multi-key input signal is determined based on the multi-key input operation; the misjudgment suppression of the multi-key input signal adopts a multimodal anti-misjudgment network: the key timing signal and the terminal screen status image are used as dual-modal inputs, and timing modeling is performed by a Transformer encoder. At the same time, the menu level and focus position features in the terminal screen status image are extracted by a convolutional neural network, and after the dual-modal features are concatenated, they are input into a fully connected layer; the power supply ripple coefficient is determined using the voltage closed-loop feedback data of the power management unit; based on the fully connected layer, the correlation analysis of the power supply ripple coefficient and the operation safety verification function is performed, and the convergence termination condition of the operation safety verification function is set by the key response delay error and the instruction execution deviation.

[0012] Preferably, the dynamic voltage regulation threshold of the power management unit is set: when the key response delay error is detected to exceed the preset threshold, the duty cycle adjustment of the DC-DC converter is automatically triggered. By reducing the equivalent series resistance of the output filter capacitor, the power supply ripple coefficient is controlled within the terminal MCU's operating tolerance threshold and the error correction of the cooperative operation response sequence meets the accuracy benchmark.

[0013] Preferably, based on the multi-button input signals, for multiple batches of user operation misjudgment events, the voltage stability parameter of the power management unit is incorporated into the misoperation tracing system; when any batch of operation misjudgments shows a systematic shift, by comparing operation logs in different voltage drift ranges, the influence weight of power supply fluctuations on operation target identification is located, and the calibration coefficient of the operation mode dependency is optimized; through the power supply stability control of the power management unit and the misjudgment suppression of the multimodal anti-misjudgment network, a reliability assurance mechanism is set up.

[0014] Preferably, based on the execution results of the collaborative operation response sequence, combined with the abnormal combinations in the multi-key input signals, risky operation candidate events are identified, and an operation risk classifier is trained. The inputs are operation time sequence entropy and mode jump frequency, and the output is risk level. Through the collaborative operation response sequence, the success rate, response delay, and permission compliance of this operation are determined. The operation audit is marked in combination with the risky operation candidate events and the corresponding risk levels, and the operation audit is used to trigger operation locking.

[0015] In a second aspect, this application provides a multi-button collaborative operating system for a power distribution terminal panel. The system includes: a multi-button input operation response module: responding to user multi-button input operations on the power distribution terminal panel, synchronously acquiring button timing signals, button combination states, and the current operating mode of the panel, and recording operation response parameters; a function target parameter identification module: identifying function target parameters in the multi-button input operation based on the triggering order of the button timing signals and the current operating mode of the panel; an anti-mistouch constraint parameter identification module: identifying anti-mistouch constraint parameters in the multi-button input operation based on the physical layout relationship of the button combination states and the current operating mode of the panel; an operation mode dependency determination module: determining operation mode dependencies based on the function target parameters and the anti-mistouch constraint parameters; and an operation response parameter loading module: dynamically verifying the operation response parameters according to the valid operation instruction set corrected by the operation mode dependencies and in conjunction with power distribution safety constraints, loading the verified operation response parameters to the power distribution terminal actuator, and configuring communication interaction protocols and operation semantic mapping rules.

[0016] In summary, one or more technical solutions provided in this application achieve the technical effect of improving the stability of operation response under environmental fluctuations and ensuring the safety and reliability of power distribution terminal operation by using key timing signals and terminal operation mode recognition function target parameters, combining key physical layout and pattern recognition anti-misoperation constraint parameters, dynamically integrating multi-dimensional constraint parameters such as key proximity interference index and misoperation history factor, and dynamically verifying operation response parameters in conjunction with power distribution safety constraints. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This application provides a flowchart illustrating a method for multi-button collaborative operation of a power distribution terminal panel.

[0019] Figure 2 This application provides a schematic diagram of the structure of a multi-button collaborative operating system for a power distribution terminal panel.

[0020] Explanation of reference numerals in the attached diagram: Multi-button input operation response module M100, Functional target parameter identification module M200, Anti-accidental touch constraint parameter identification module M300, Operation mode dependency determination module M400, Operation response parameter loading module M500. Detailed Implementation

[0021] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0022] Example 1: The present application will be described in detail below with reference to the accompanying drawings, as follows... Figure 1 As shown, this application provides a method for multi-button collaborative operation of a power distribution terminal panel, wherein the method includes: S1: Respond to the user's multi-button input operation on the power distribution terminal panel, synchronously acquire the button timing signal, button combination state and the current operating mode of the panel, and record the operation response parameters; S2: Based on the triggering order of the button timing signal and combined with the current operating mode of the panel, identify the functional target parameters in the multi-button input operation; S3: Based on the physical layout relationship of the button combination state and combined with the current operating mode of the panel, identify the anti-mistouch constraint parameters in the multi-button input operation.

[0023] Specifically, key timing signals refer to time-related signal characteristics during key operation, including key press time, release time, double-click interval, and timing overlap, reflecting the dynamic process of key operation and providing time-dimensional information for judging operation intent; key combination status describes the adjacency relationship and functional grouping of all physical keys on the power distribution terminal panel, including the spatial layout between keys and the functional category to which the keys belong, used to analyze the physical characteristics and functional correlation of key combination operations; the current operating mode of the panel refers to the working state of the power distribution terminal panel during operation, including normal operation mode, parameter configuration mode, fault handling mode, etc. The meaning and function of key operation may be different in different operating modes, so it is necessary to combine the operating mode to accurately understand key operation.

[0024] Operation response parameters refer to response data related to key operations, including key press duration, key combination sequence, and pre-controlled button activation status. These parameters reflect the specific execution of the key operation and can be used for subsequent analysis and verification. Functional target parameters refer to parameters related to the function expected to be achieved through key operations, including main function key identifiers, auxiliary modifier key identifiers, and operation semantic strength. These parameters are used to clarify the specific functional intent of the key operation. Anti-accidental touch constraint parameters are parameters used to prevent accidental touch operations. These parameters include key proximity interference index, accidental operation history frequency factor, and pattern sensitivity weight. Anti-accidental touch constraint parameters constrain key operations from different angles to reduce the possibility of accidental touches.

[0025] Execution steps: Responding to multiple button input operations by the user on the power distribution terminal panel, the system simultaneously acquires button timing signals, button combination states, and the current operating mode of the panel, and records the operation response parameters. By synchronously acquiring multi-dimensional data, comprehensive data support is provided for subsequent accurate identification and verification. Furthermore, when the user presses multiple buttons simultaneously, the system accurately captures the press and release times of the buttons through button timing signals, understands the physical relationships between the buttons through button combination states, and determines the context of the operation by combining the current operating mode of the panel, thereby comprehensively recording the operation response parameters. The acquisition of button timing signals, button combination states, and the current operating mode of the panel enables the system to comprehensively understand the user's button operations from multiple dimensions such as time, space, and operating status, providing a foundation for intent recognition and accidental touch prevention.

[0026] S4: Determine the operation mode dependency based on the functional target parameters and the anti-accidental touch constraint parameters; S5: Dynamically verify the operation response parameters according to the effective operation instruction set after the operation mode dependency is corrected, combined with the power distribution safety constraint conditions, load the verified operation response parameters into the power distribution terminal actuator, and configure the communication interaction protocol and operation semantic mapping rules.

[0027] Specifically, the operation mode dependency refers to the operation mode related parameters determined by a combination of functional target parameters and anti-accidental touch constraint parameters. It reflects the key factors on which the generation and execution of operation instructions depend under a specific operation mode, and is used to guide subsequent instruction correction and verification. The effective operation instruction set refers to the set of operation instructions after correction. These instructions are optimized under the dual effects of functional targets and anti-accidental touch constraints to ensure that they meet the actual operation requirements of the power distribution terminal.

[0028] Distribution safety constraints refer to the safety specifications and limitations that a distribution system must meet during operation, including operating permissions, equipment status, and grid parameters, to ensure that operations do not pose safety hazards to the distribution system. Dynamic verification refers to the process of verifying operation response parameters in real time during operation, comparing them with distribution safety constraints to determine whether the operation meets safety and functional requirements. Communication interaction protocols define the format, rules, and processes for transmitting operation instructions and data between modules within the distribution terminal, ensuring that instructions can be accurately and efficiently transmitted to the execution mechanism. Operation semantic mapping rules are rules that establish a mapping relationship between operation instructions and the actual functions of the distribution terminal, used to transform abstract operation instructions into specific execution actions.

[0029] Execution steps: Based on the functional target parameters and the anti-accidental touch constraint parameters, determine the operation mode dependencies, and combine the operation intention with safety constraints. Specifically, in the parameter configuration mode of the power distribution terminal, the functional target parameters indicate the user's intention to adjust a certain parameter, while the anti-accidental touch constraint parameters ensure that this operation will not cause errors due to accidental touch. By integrating these parameters, determine the operation mode dependencies, clarify the key factors that the generation and execution of operation instructions in the current mode depend on, and ensure that the operation instructions meet the user's intention and safety requirements.

[0030] Based on the effective set of operation instructions modified according to the operation mode dependencies, and combined with the power distribution safety constraints, the operation response parameters are dynamically verified. By monitoring and verifying the operation response parameters in real time, it is ensured that they comply with the safety specifications of the power distribution system. Specifically, when the key press duration or instruction execution deviation in the operation response parameters is detected to exceed the safety threshold, the operation is immediately corrected or prevented from being executed. Through dynamic verification, potential erroneous operations are promptly detected and corrected, thereby improving the reliability and safety of the operation. The verified operation response parameters are loaded into the power distribution terminal actuator, and through the configuration of communication interaction protocols and operation semantic mapping rules, a closed-loop control of the entire process from instruction generation to execution is realized, ensuring that the operation instructions can be correctly mapped to the actual functions of the power distribution terminal, thereby achieving efficient and safe operation.

[0031] Furthermore, the method of this application includes simultaneously acquiring key timing signals, key combination states, and the current operating mode of the panel, and recording operation response parameters. The key timing signals include key press time, key release time, double-click interval, and timing overlap. The key combination state covers the adjacency relationship and function grouping of all physical keys on the power distribution terminal panel. The operation response parameters include key press duration, key combination sequence, and pre-control button activation state.

[0032] Specifically, key press time refers to the exact moment a user presses a key, used to record the start time of a key operation; release time refers to the exact moment a user releases a key, used to record the end time of a key operation; double-click interval refers to the time interval between two consecutive key presses, used to identify double-click operations; timing overlap refers to the degree of temporal overlap between multiple key operations, used to determine whether key operations occur simultaneously; adjacency refers to the physical proximity of keys, such as which keys are adjacent and which are relatively independent; function grouping refers to the groups of keys based on their functions, such as some keys controlling device status and others inputting parameters; key press duration refers to the length of time a user presses and holds a key, used to determine the continuity of a key operation; key combination sequence refers to the order in which multiple key operations are performed, used to determine the specific combination command input by the user; and preset button activation status indicates whether preset function keys and other special keys are enabled to determine whether they participate in the current operation.

[0033] Execution Steps: The detailed definition of key timing signals and key combination states provides the system with rich operation data. Key timing signals include key press time, release time, double-click interval, and timing overlap, which can accurately capture the dynamics of the user's key operations. Furthermore, by using the key press time and release time, the key press duration is calculated to determine whether the user has performed a long press operation. The double-click interval is used to identify double-click operations, which is crucial for quickly switching functions or confirming operations. Timing overlap can determine whether multiple keys are pressed simultaneously, which is essential for identifying complex combination operations.

[0034] The button combination status covers the adjacency relationships and function groups of all physical buttons on the power distribution terminal panel. Adjacency relationships help the system determine the physical positional relationship between buttons, avoiding misoperations caused by button layout. Function grouping clarifies the function category of each button, enabling the system to quickly identify user intent based on button combinations. Furthermore, when a user presses a group of adjacent buttons, the system determines whether this is valid based on adjacency relationships and function groups, thus avoiding misjudgments caused by button layout. Operation response parameters include button press duration, button combination sequence, and pre-control button activation status, further refining the characteristics of button operations. Among them, button press duration is used to determine the continuity of the operation, button combination sequence is used to identify the specific instructions input by the user, and pre-control button activation status is used to determine whether certain special buttons are involved in the current operation. Specifically, in complex parameter configuration scenarios, users may need to press and hold a button while simultaneously pressing other buttons to trigger a specific function. Through operation response parameters, the system accurately identifies user intent and prevents misoperations, converting it into specific execution instructions, thereby improving the reliability and safety of power distribution terminal operation.

[0035] Furthermore, based on the current operating mode of the panel, the method of this application identifies the functional target parameters in the multi-button input operation, including: The functional target parameters include the main function key identifier, the auxiliary modifier key identifier, and the operation semantic strength; wherein, the main function key identifier and the auxiliary modifier key identifier are determined by acquiring the level state of the corresponding keys through independent GPIO channels, and the operation semantic strength is the timing coupling coefficient between the main function key and the auxiliary modifier key.

[0036] Specifically, the main function key identifier refers to the key identifier used to determine the main function in multi-key operations, and is the key key to realizing the user's core operation intention; the auxiliary modifier key identifier refers to the key used to extend the function of the main function key or adjust the details of the operation in multi-key operations; the operation semantic strength refers to the temporal correlation strength between the main function key and the auxiliary modifier key, used to quantify the semantic association degree of key operation, reflecting the temporal coupling degree of key operation; GPIO (General Purpose Input Output) channels are used to collect the level state of the keys in the hardware device. The level state includes high level and low level. Each key is sampled through an independent GPIO channel to ensure the accuracy and independence of the signal; the level state refers to the electrical state of the key, with a high level indicating that the key is not pressed and a low level indicating that the key is pressed; the timing coupling coefficient is used to describe the temporal correlation between the main function key and the auxiliary modifier key, and the strength of the operation semantic is determined by analyzing the timing sequence of key press and release.

[0037] Execution steps: Determine the functional target parameters to accurately identify the operation intent. Specifically, the functional target parameters include the main function key identifier, the auxiliary modifier key identifier, and the operation semantic strength. The functional target parameters are determined by acquiring the level state of the corresponding key through an independent GPIO channel, thereby ensuring that the state of each key can be accurately captured. Furthermore, there are multiple keys on the power distribution terminal panel, and each key is connected to the microcontroller through an independent GPIO channel. When the user presses a key, the GPIO channel will detect the change in level state, which means from a high level to a low level, thereby determining that the key has been pressed.

[0038] The main function key and auxiliary modifier keys are identified separately. The main function key is used to clearly identify the user's core operational intent, while the auxiliary modifier key is used to extend or adjust the function of the main function key. Further, in parameter configuration scenarios, users need to select the parameter type using the main function key and adjust the specific value of the parameter using the auxiliary modifier key. The semantic strength of the operation is determined by the temporal coupling coefficient of the main function key and the auxiliary modifier key, reflecting the degree of semantic association between the key operations. Specifically, if the main function key and the auxiliary modifier key are pressed almost simultaneously, the temporal coupling coefficient is high, indicating a strong semantic association between the two keys and a clear user intent. Conversely, if the time interval between key operations is large, the temporal coupling coefficient is low, indicating a weak semantic association, and further confirmation of the user intent may be needed. In the above steps, by accurately identifying the main function key and auxiliary modifier key, and quantifying the semantic strength of the operation, combined with hardware signal acquisition and software logic analysis, it is ensured that in complex operation scenarios, the user intent can be quickly and accurately identified and converted into specific operation instructions, thereby more accurately understanding the user's operational intent and improving the accuracy and reliability of the operation. Furthermore, the method of this application also includes: The anti-accidental touch constraint parameters include a key proximity interference index, a historical frequency factor for accidental operation, and a mode sensitivity weight. The key proximity interference index is determined by the minimum distance between adjacent keys in the physical layout and the pressure threshold. The historical frequency factor for accidental operation is positively correlated with user operating habits and is determined by statistical conversion through a sliding window of the local operation log. The mode sensitivity weight is the percentage of permission levels for critical operations in the current operating mode.

[0039] Specifically, the key proximity interference index is a parameter used to measure the probability of accidental touches caused by the physical layout of adjacent keys. It is determined by the minimum distance between adjacent keys and the pressure threshold, reflecting the sensitivity of key layout to accidental touches. The accidental operation history frequency factor is a parameter derived from the statistics of users' historical operation data. It is used to measure the frequency of users' accidental operations in specific operation scenarios. The accidental operation history frequency factor is positively correlated with users' operation habits and is determined by the sliding window statistics of local operation logs.

[0040] Mode sensitivity weight refers to the percentage of permission levels for critical operations in the current operating mode, reflecting the security and importance of certain operations in a specific operating mode, and is used to adjust the strictness of the anti-accidental touch strategy; Pressing force threshold refers to the minimum pressing force value to trigger a button operation. When the pressing force on a button exceeds that of the DC-DC converter, the button is considered to be effectively pressed; Sliding window statistical conversion is a data statistical method that sets a fixed-size time window in the local operation log, counts the frequency of specific events within the window, and calculates the historical frequency factor of accidental operation; Permission level percentage refers to the proportion of permission levels occupied by critical operations in the current operating mode, used to measure the importance and security of operations. Furthermore, critical operations include setting modification and exit enabling.

[0041] Execution steps: The proximity interference index of buttons is determined by the minimum distance between adjacent buttons in the physical layout and the pressure threshold. Specifically, when the minimum distance between adjacent buttons is small, users are more likely to accidentally trigger adjacent buttons during operation. At this time, by setting a reasonable pressure threshold, it is possible to distinguish between valid button operations and accidental touches caused by proximity interference. For example, if the pressure threshold is 100g, it is considered a valid operation only when the user's pressure exceeds 100g, thereby reducing accidental touches caused by excessively small button spacing.

[0042] The frequency factor of accidental operation history is determined by statistical conversion through a sliding window of the local operation log. Specifically, a sliding window is set up to record the past 100 operation records, and the number of accidental operations by the user in this window is counted. If the user has 10 accidental operations in 100 operations, the frequency factor of accidental operation history is 10%. The frequency factor of accidental operation history is positively correlated with the user's operation habits, reflecting the user's tendency to make accidental operations in specific operation scenarios. In this way, the anti-accidental touch strategy is dynamically adjusted according to the user's operation habits, such as adding operation confirmation steps or adjusting the button layout prompts.

[0043] The mode sensitivity weight is the percentage of permission levels for critical operations under the current operating mode. Specifically, in the fault handling mode of the power distribution terminal, some operations may involve restarting high-privilege equipment or adjusting parameters. If the permission level of critical operations in this mode accounts for 80%, anti-accidental touch constraints are added to these operations based on this weight. For example, users may be required to confirm their actions or execute them through specific key combinations. This ensures that the safety and reliability of operations are fully guaranteed under different operating modes. In the above steps, by comprehensively considering the key layout, user operating habits, and operating permissions under the operating mode, anti-accidental touch constraint parameters are introduced to provide a multi-layered anti-accidental touch protection mechanism. Further determination of anti-accidental touch constraint parameters is crucial to ensuring operational safety. These parameters include the key proximity interference index, the historical frequency factor of misoperation, and the mode sensitivity weight, accurately identifying and preventing misoperations, thereby significantly improving the safety and reliability of power distribution terminal operations.

[0044] Furthermore, based on the effective set of operating instructions modified according to the aforementioned operating mode dependency, the method of this application includes: Based on the revised set of valid operation instructions, a joint control matching is performed with the function instruction tree of the power distribution terminal panel to construct a full-mode operation target matrix. The matching confidence of the full-mode operation target matrix is ​​introduced, and the matching confidence is reinforced and verified through a Transformer-based multimodal anti-misjudgment network. When the matching confidence reaches the standard and the convergence termination condition of the operation safety verification function is met, the execution instruction is allowed to be output to the power distribution terminal actuator.

[0045] Specifically, the effective operation instruction set is the set of operation instructions corrected by functional target parameters and anti-misoperation constraint parameters. These instructions are considered to conform to user intent and meet safety requirements. The functional instruction tree refers to the hierarchical structure of all possible operation instructions on the power distribution terminal panel, similar to a decision tree, used to describe the logical relationships between different operation instructions. The full-mode operation target matrix is ​​a matrix that comprehensively considers the operation targets under all operating modes, used to describe the expected targets and execution conditions of operation instructions under different modes. The matching confidence level refers to the degree of confidence in the matching between the operation instruction and the functional instruction tree, used to quantify the accuracy of the operation instruction. The Transformer is a deep learning architecture based on the attention mechanism, used to process sequential data, and can capture timing information and contextual relationships. The multimodal anti-misjudgment network is a neural network that combines multiple input modalities such as button timing signals and screen status images to reduce misjudgments. The operation safety verification function is used to verify whether the operation instruction meets safety requirements. It determines whether the instruction is safe by calculating the convergence termination condition. The convergence termination condition refers to the safety standard reached by the operation safety verification function. When the convergence termination condition is met, the operation instruction is considered safe and reliable.

[0046] Execution steps: Based on the revised set of valid operation instructions, perform joint control matching with the function instruction tree of the power distribution terminal panel to construct a full-mode operation target matrix. Compare the operation instructions input by the user with the system's preset function instruction tree to determine whether the operation instructions meet the expected functional logic. For example, if the user inputs a key combination, the function instruction tree will determine whether the key combination corresponds to a valid operation target. By constructing a full-mode operation target matrix, the operation targets under different operating modes are comprehensively considered to ensure that the operation instructions can be correctly understood and executed in all modes.

[0047] A matching confidence score of the full-mode operation target matrix is ​​introduced, and the matching confidence score is further enhanced and verified through a Transformer-based multimodal anti-misjudgment network. Specifically, the Transformer architecture can effectively process sequence data such as key timing signals, capture the temporal features and contextual relationships of operation commands, and further, the key timing signals and terminal screen state images are used as bimodal inputs. Features are extracted through a Transformer encoder and a convolutional neural network, and the bimodal features are concatenated and then input into a fully connected layer. The output operation target recognition probability corrects the matching confidence score, eliminates low-confidence matching results caused by accidental touches or double-clicks, significantly reduces misjudgments caused by accidental key touches or non-standard operations, and improves the accuracy of operation.

[0048] When the matching confidence level meets the standard and the convergence termination condition of the operation safety verification function is satisfied, the execution command is allowed to be output to the distribution terminal actuator. The operation safety verification function determines whether the operation command is safe and reliable by calculating the convergence termination condition. Furthermore, when the matching confidence level of the operation command exceeds 80% and the convergence value of the operation safety verification function is less than the preset safety threshold, the operation is considered safe and reliable, and the command is allowed to be sent to the actuator for execution. Through dynamic verification and safety verification, it is ensured that the operation command undergoes a strict safety check before execution, thereby improving the overall reliability and safety of the distribution terminal operation.

[0049] Furthermore, this application's method also includes: strengthening the verification of matching confidence through a Transformer-based multimodal anti-false positive network. Based on the multi-key input operation, a multi-key input signal is determined. The misjudgment suppression of the multi-key input signal employs a multimodal anti-misjudgment network: the key timing signal and the terminal screen status image are used as dual-modal inputs, and timing modeling is performed using a Transformer encoder. Simultaneously, a convolutional neural network extracts menu hierarchy and focus position features from the terminal screen status image, performs dual-modal feature concatenation, and inputs it into a fully connected layer. The power supply ripple coefficient is determined using voltage closed-loop feedback data from the power management unit. Based on the fully connected layer, correlation analysis is performed between the power supply ripple coefficient and the operation safety verification function, and the convergence termination condition of the operation safety verification function is set using key response delay error and instruction execution deviation.

[0050] Specifically, multi-button input signals refer to the input signals generated by users operating multiple buttons on the power distribution terminal panel, including button timing signals and button combination states; multimodal anti-misjudgment network refers to a neural network that combines multiple input modalities such as button timing signals and terminal screen status images to reduce misjudgments and improve the accuracy of operation recognition; Transformer encoder refers to an encoder module based on the Transformer architecture, used to process timing data and capture the temporal characteristics and contextual relationships of button operations.

[0051] Menu hierarchy and focus position features refer to the features of the menu hierarchy and current focus position in the terminal screen status image, used to assist in judging the user's operation intention; dual-modal feature concatenation refers to the comprehensive feature vector formed by concatenating feature vectors from different modalities such as key timing signals and image features; a fully connected layer is a layer in a neural network, used to comprehensively process input features and output the final judgment result; the power supply ripple coefficient is a parameter reflecting the stability of the output voltage of the power management unit, calculated through voltage closed-loop feedback data; the operation safety verification function is a function used to verify whether the operation command meets the safety requirements, and judges the safety of the command by calculating the convergence termination condition; when the operation safety verification function reaches the safety standard and the convergence termination condition is met, the operation command is considered safe and reliable.

[0052] Execution steps: Based on the multi-key input operation, determine the multi-key input signal, including key timing signals and terminal screen status images, to comprehensively capture the user's operational intent. Specifically, when the user presses multiple keys, the press and release times are recorded, and the currently displayed menu level and focus position on the terminal screen are obtained. To suppress false judgments, a multimodal anti-false judgment network is used, treating the key timing signals and terminal screen status images as bimodal inputs. Specifically, a Transformer encoder processes the key timing signals, capturing the temporal characteristics and contextual relationships of key operations. The Transformer can identify whether the user presses multiple keys in a short period and analyze the key combination sequence.

[0053] The menu hierarchy and focus position features in the terminal screen status image are extracted by a convolutional neural network to identify whether the menu hierarchy of the user's current operation matches the key operation, thereby assisting in judging the operation intention. The temporal features output by the Transformer encoder and the image features extracted by the lightweight CNN are concatenated into a dual-modal feature vector, which is then input into a fully connected layer for further processing. The voltage closed-loop feedback data of the power management unit is used to determine the power supply ripple coefficient. Furthermore, when the power supply voltage fluctuates, it will cause key response delay or misjudgment. When the power supply ripple coefficient exceeds a certain threshold, the power supply is considered unstable, which may affect the accuracy of operation.

[0054] Based on the output of the fully connected layer, a correlation analysis is performed between the power supply ripple coefficient and the operation safety verification function. The convergence termination condition of the operation safety verification function is set by considering the key response delay error and the instruction execution deviation. If the key response delay error is less than the allowable response delay threshold and the instruction execution deviation is less than the allowable instruction offset, the operation is considered safe and reliable, and the convergence termination condition is met. In the above steps, through the comprehensive analysis of the multimodal anti-misjudgment network and the power supply ripple coefficient, misjudgments are effectively suppressed, while ensuring that operation instructions can still be safely executed under complex environments such as power fluctuations. This multi-dimensional verification mechanism significantly improves the reliability and safety of power distribution terminal operations, reducing operational risks caused by misjudgments or power instability.

[0055] Furthermore, the method of this application, which uses voltage closed-loop feedback data from the power management unit to determine the power supply ripple coefficient, includes: Set the dynamic voltage regulation threshold of the power management unit: When the key response delay error is detected to exceed the preset threshold, the duty cycle adjustment of the DC-DC converter is automatically triggered. By reducing the equivalent series resistance of the output filter capacitor, the power supply ripple coefficient is controlled within the terminal MCU's operating tolerance threshold, and the error correction of the cooperative operation response sequence meets the accuracy benchmark.

[0056] Specifically, the power management unit is responsible for managing and regulating the power supply of the power distribution terminal equipment to ensure that the equipment operates under a stable voltage; the dynamic voltage regulation threshold refers to the voltage regulation standard that the power management unit dynamically adjusts based on the voltage fluctuations detected in real time, used to ensure the voltage stability of the equipment under different load conditions; the DC-DC (Direct Current DC-DC converter) is used to convert the input DC voltage into the output DC voltage; duty cycle regulation refers to adjusting the output voltage by changing the ratio of the on time to the off time of the switching elements in the DC-DC converter.

[0057] Output filter capacitors are used to smooth the output voltage of DC-DC converters; their equivalent series resistance affects the filtering effect. Power supply ripple coefficient is a parameter used to measure the stability of the power supply output voltage, representing the amplitude of voltage fluctuations. Terminal MCU (Microcontroller Unit) operating tolerance threshold refers to the maximum allowable voltage fluctuation range within which the power distribution terminal microcontroller can operate normally. Cooperative operation response sequence refers to the execution sequence of multiple button operations or multiple operation commands, used to describe the overall process of user operation. Error correction accuracy benchmark refers to the maximum allowable error range in the cooperative operation response sequence, used to ensure the accuracy of operation.

[0058] Execution Steps: Setting the dynamic voltage regulation threshold of the power management unit is a crucial step in ensuring stable operation of the device under complex operating environments. Specifically, when the system detects that the button response delay error exceeds the preset threshold, it means that power fluctuations may have affected the normal operation of the device. Noise suppression is achieved by adjusting the duty cycle of the DC-DC converter, and the output voltage is dynamically adjusted to cope with voltage fluctuations. At the same time, the filtering effect is further enhanced by reducing the equivalent series resistance of the output filter capacitor. Specifically, the low equivalent series resistance filter capacitor can effectively reduce voltage ripple, keeping the power supply ripple coefficient within the operating tolerance threshold of the terminal MCU. Based on the operating tolerance threshold of the terminal MCU, the power supply ripple coefficient is controlled within a certain range by adjusting the duty cycle and optimizing the filter capacitor, thereby ensuring that the MCU operates normally under stable voltage.

[0059] Error correction is applied to the collaborative operation response sequence to ensure it meets accuracy standards. Specifically, this is achieved by dynamically adjusting power parameters to reduce key response delay errors and keeping instruction execution deviations within a certain range. This error correction mechanism significantly improves the accuracy and reliability of operations, ensuring that user intentions are correctly executed. In the above steps, the dynamic voltage regulation threshold setting of the power management unit addresses the key response delay problem caused by power fluctuations. By optimizing power management and error correction mechanisms, the overall performance of the power distribution terminal operation is significantly improved, ensuring the stability and reliability of the equipment in complex operating environments.

[0060] Furthermore, the method of this application includes: Based on the multi-button input signals, for multiple batches of user operation misjudgment events, the voltage stability parameter of the power management unit is incorporated into the misoperation tracing system; when any batch of operation misjudgment shows a systematic shift, by comparing operation logs in different voltage drift ranges, the influence weight of power supply fluctuations on operation target identification is located, and the calibration coefficient of the operation mode dependency is optimized; through the power supply stability control of the power management unit and the misjudgment suppression of the multimodal anti-misjudgment network, a reliability assurance mechanism is set up.

[0061] Specifically, multi-batch user operation misjudgment events refer to a set of misoperation events recorded in different time periods or different user groups, used to analyze the patterns and causes of misoperations; voltage stability parameters are parameters used to measure the output voltage stability of the power management unit, including voltage fluctuation range, ripple coefficient, etc.; the misoperation tracing system is a system framework used to analyze and track the causes of misoperations, and determines the root cause of misoperations by collecting and analyzing operation data; systematic deviation refers to the consistent or regular deviation of misoperation events under a certain specific condition, indicating that there may be a systemic problem.

[0062] Voltage drift range refers to the range of voltage deviation that occurs within a certain period of time, used to analyze the impact of voltage fluctuations on operation; operation log refers to detailed data recording the user operation process and system response, including key operations, response time, execution results, etc.; power supply fluctuation impact weight refers to the degree of influence of power supply fluctuations on the accuracy of operation target identification, used to assess the impact of power supply stability on operation reliability; operation mode dependency calibration coefficient is used to adjust the parameters of operation mode dependency to optimize the generation and verification process of operation instructions; reliability assurance mechanism refers to the measures to ensure that the system can operate stably under various conditions through technical means and strategies.

[0063] Execution steps: Based on multi-button input signals, analyze the operation misjudgment events of multiple batches of users, and incorporate the voltage stability parameters of the power management unit into the misoperation tracing system; collect and analyze operation data of different user groups, and evaluate the causes of misoperation in conjunction with the voltage stability parameters of the power management unit. For example, 20% of the misoperation events in the user operation log are related to power supply voltage fluctuations. Furthermore, voltage stability parameters include ripple coefficient and voltage fluctuation range; by analyzing these events related to power supply voltage fluctuations, incorporate the voltage stability parameters into the tracing system to determine the impact of power supply stability on misoperation.

[0064] When any batch of operations exhibits a systematic shift in misjudgment, the impact weight of power supply fluctuations on the identification of operational targets is located by comparing the operation logs of different voltage drift intervals. Specifically, it was found that the operation misjudgment rate of a certain voltage drift interval was significantly higher than that of other intervals. Through comparative analysis, the impact weight of power supply fluctuations on the identification of operational targets is quantified, and the calibration coefficient of the operation mode dependency is optimized accordingly to enhance the robustness of operation commands under voltage fluctuation conditions.

[0065] By controlling the power supply stability of the power management unit and suppressing misjudgments through a multi-modal anti-misjudgment network, a reliability assurance mechanism is established. The power management unit ensures that the power supply ripple coefficient is controlled within the operating tolerance threshold of the terminal MCU through dynamic voltage regulation threshold adjustment and low equivalent series resistance filter capacitor optimization. Simultaneously, the multi-modal anti-misjudgment network, combined with key timing signals and terminal screen status images, further reduces misjudgments. The synergistic effect of power supply stability control and the multi-modal anti-misjudgment network improves system reliability. In the above steps, by incorporating the voltage stability parameters of the power management unit into the misoperation tracing system and combining it with the misjudgment suppression of the multi-modal anti-misjudgment network, the system can not only effectively analyze and reduce misoperations but also further enhance the stability and reliability of the power distribution terminal operation by optimizing calibration coefficients and establishing a reliability assurance mechanism.

[0066] Furthermore, the method of this application includes: Based on the execution results of the collaborative operation response sequence, combined with the abnormal combinations in the multi-key input signals, risky operation candidate events are identified, and an operation risk classifier is trained. The inputs are operation time sequence entropy and mode jump frequency, and the output is risk level. Through the collaborative operation response sequence, the success rate, response delay, and permission compliance of this operation are determined. Combined with the risky operation candidate events and their corresponding risk levels, operation audit annotations are performed, and operation locking is triggered by the operation audit annotations.

[0067] Specifically, a collaborative operation response sequence refers to a sequence composed of multiple key operations and their corresponding system responses, reflecting the overall process of user operation and the system's processing results for these operations; an abnormal combination refers to a key combination in multi-key input signals that does not conform to normal operation logic or pattern, which may indicate operational risk or misoperation, including non-standard three-key simultaneous pressing and excessively long pressing; risky operation candidate events refer to potentially risky operation events identified based on abnormal combinations, which require further evaluation and processing; and an operation risk classifier is a machine learning model used to classify the risk level of an operation based on input features including operation time sequence entropy and pattern jump frequency.

[0068] Operation timing entropy is an indicator used to measure the complexity and uncertainty of key operation timing. The higher the timing entropy, the higher the complexity and unpredictability of the operation. Mode switching frequency refers to the frequency of operation mode switching during operation. Frequent mode switching may indicate the instability and risk of the operation. The output of the operation risk classifier indicates the degree of risk of the operation, and the risk level is divided into three levels: low, medium and high. Operation audit annotation is a detailed record and label of the operation process and its results, which is used for subsequent risk assessment and security review. Operation lockout refers to automatically restricting or suspending certain operation functions when high-risk operations or violations of security rules are detected to prevent potential security problems.

[0069] Execution steps: Based on the execution results of the collaborative operation response sequence, combined with abnormal combinations in the multi-key input signals, identify candidate events for risky operations; by analyzing the overall process of user operations and system responses, identify potentially risky operation events, specifically, detecting frequent mode switching in a certain operation sequence and certain key combinations that do not conform to normal operation logic; based on these features, train an operation risk classifier, with inputs including operation time sequence entropy and mode jump frequency, and output as the risk level.

[0070] By using collaborative operation response sequences, the success rate, response latency, and permission compliance of each operation are determined. Specifically, the success rate, response latency, and whether the operation complies with the current user's permissions are recorded. Combined with potential risk operation events and their corresponding risk levels, operation audit annotations are generated. These annotations record detailed information about the operation. Furthermore, when an operation audit annotation indicates high risk or violation of security rules, an operation lockout is triggered. Specifically, if marked as "high risk and non-compliant permissions," the execution of the operation will be automatically restricted to prevent potential security issues. In these steps, risky operations are identified and recorded, and the operation lockout mechanism is used to promptly prevent potential security threats, ensuring the safety and reliability of power distribution terminal operations. Through the combination of collaborative operation response sequence analysis and a risk classifier, along with operation auditing and lockout mechanisms, risky operations are dynamically identified and handled, improving operational security and providing comprehensive security guarantees for the stable operation of power distribution terminals.

[0071] In summary, the beneficial effects of the embodiments of this application are: This application provides a method and system for multi-button collaborative operation of a power distribution terminal panel. It responds to user input on multiple buttons, simultaneously acquiring button timing signals, button combination states, and the panel's current operating mode, and records the operation response parameters. Based on the triggering order of the button timing signals and the current operating mode, it identifies the functional target parameters in the multi-button input operation. Based on the physical layout relationship of the button combination states and the current operating mode, it identifies the anti-mistouch constraint parameters in the multi-button input operation. Based on the functional target parameters and the anti-mistouch constraint parameters, it determines the operation mode dependencies. According to the effective operation instruction set corrected by the operation mode dependencies and combined with power distribution safety constraints, it dynamically verifies the operation response parameters, loads the verified operation response parameters into the power distribution terminal actuator, and configures the communication interaction protocol and operation semantic mapping rules. This technology achieves the following results: it identifies target parameters of the function by using key timing signals and terminal operation mode recognition; combines key physical layout and pattern recognition anti-misclick constraint parameters; dynamically integrates multi-dimensional constraint parameters such as key proximity interference index and misoperation history factor; and dynamically verifies operation response parameters in conjunction with power distribution safety constraints. This improves the stability of operation response under environmental fluctuations and ensures the safety and reliability of power distribution terminal operation.

[0072] Example 2, based on the same inventive concept as the multi-button collaborative operation method for a power distribution terminal panel in the foregoing examples, such as... Figure 2 As shown in the figure, this application embodiment provides a multi-button collaborative operating system for a power distribution terminal panel, wherein the system includes: Multi-button input operation response module M100: Responds to the user's multi-button input operation on the power distribution terminal panel, synchronously acquires the button timing signal, button combination status and the current operating mode of the panel, and records the operation response parameters.

[0073] Functional target parameter identification module M200: Based on the triggering order of the key timing signals and combined with the current operating mode of the panel, it identifies the functional target parameters in the multi-key input operation.

[0074] Anti-accidental touch constraint parameter identification module M300: Based on the physical layout relationship of the button combination state and combined with the current operating mode of the panel, it identifies the anti-accidental touch constraint parameters in the multi-button input operation.

[0075] Operation mode dependency determination module M400: Determines operation mode dependencies based on the functional target parameters and the anti-accidental touch constraint parameters.

[0076] Operation response parameter loading module M500: Based on the valid operation instruction set after the operation mode dependency is corrected, combined with the power distribution safety constraints, dynamically verifies the operation response parameters, loads the verified operation response parameters into the power distribution terminal actuator, and configures the communication interaction protocol and operation semantic mapping rules.

[0077] Furthermore, the multi-key input operation response module M100 is used to perform the following method: The key timing signals include key press time, key release time, double-click interval, and timing overlap. The key combination state covers the adjacency relationship and function grouping of all physical keys on the power distribution terminal panel. The operation response parameters include key press duration, key combination sequence, and pre-control button activation state.

[0078] Furthermore, the functional target parameter identification module M200 is used to perform the following method: The functional target parameters include the main function key identifier, the auxiliary modifier key identifier, and the operation semantic strength; wherein, the main function key identifier and the auxiliary modifier key identifier are determined by acquiring the level state of the corresponding keys through independent GPIO channels, and the operation semantic strength is the timing coupling coefficient between the main function key and the auxiliary modifier key.

[0079] Furthermore, the anti-accidental touch constraint parameter recognition module M300 is also used to perform the following method: The anti-accidental touch constraint parameters include a key proximity interference index, a historical frequency factor for accidental operation, and a mode sensitivity weight. The key proximity interference index is determined by the minimum distance between adjacent keys in the physical layout and the pressure threshold. The historical frequency factor for accidental operation is positively correlated with user operating habits and is determined by statistical conversion through a sliding window of the local operation log. The mode sensitivity weight is the percentage of permission levels for critical operations in the current operating mode.

[0080] Furthermore, the operation response parameter loading module M500 is used to execute the following method: Based on the revised set of valid operation instructions, a joint control matching is performed with the function instruction tree of the power distribution terminal panel to construct a full-mode operation target matrix. The matching confidence of the full-mode operation target matrix is ​​introduced, and the matching confidence is reinforced and verified through a Transformer-based multimodal anti-misjudgment network. When the matching confidence reaches the standard and the convergence termination condition of the operation safety verification function is met, the execution instruction is allowed to be output to the power distribution terminal actuator.

[0081] Furthermore, the operation response parameter loading module M500 is also used to perform the following method: Based on the multi-key input operation, a multi-key input signal is determined. The misjudgment suppression of the multi-key input signal employs a multimodal anti-misjudgment network: the key timing signal and the terminal screen status image are used as dual-modal inputs, and timing modeling is performed using a Transformer encoder. Simultaneously, a convolutional neural network extracts menu hierarchy and focus position features from the terminal screen status image, performs dual-modal feature concatenation, and inputs it into a fully connected layer. The power supply ripple coefficient is determined using voltage closed-loop feedback data from the power management unit. Based on the fully connected layer, correlation analysis is performed between the power supply ripple coefficient and the operation safety verification function, and the convergence termination condition of the operation safety verification function is set using key response delay error and instruction execution deviation.

[0082] Furthermore, the operation response parameter loading module M500 is also used to perform the following method: Set the dynamic voltage regulation threshold of the power management unit: When the key response delay error is detected to exceed the preset threshold, the duty cycle adjustment of the DC-DC converter is automatically triggered. By reducing the equivalent series resistance of the output filter capacitor, the power supply ripple coefficient is controlled within the terminal MCU's operating tolerance threshold, and the error correction of the cooperative operation response sequence meets the accuracy benchmark.

[0083] Furthermore, the operation response parameter loading module M500 is also used to perform the following method: Based on the multi-button input signals, for multiple batches of user operation misjudgment events, the voltage stability parameter of the power management unit is incorporated into the misoperation tracing system; when any batch of operation misjudgment shows a systematic shift, by comparing operation logs in different voltage drift ranges, the influence weight of power supply fluctuations on operation target identification is located, and the calibration coefficient of the operation mode dependency is optimized; through the power supply stability control of the power management unit and the misjudgment suppression of the multimodal anti-misjudgment network, a reliability assurance mechanism is set up.

[0084] Furthermore, the operation response parameter loading module M500 is also used to perform the following method: Based on the execution results of the collaborative operation response sequence, combined with the abnormal combinations in the multi-key input signals, risky operation candidate events are identified, and an operation risk classifier is trained. The inputs are operation time sequence entropy and mode jump frequency, and the output is risk level. Through the collaborative operation response sequence, the success rate, response delay, and permission compliance of this operation are determined. Combined with the risky operation candidate events and their corresponding risk levels, operation audit annotations are performed, and operation locking is triggered by the operation audit annotations.

[0085] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The method and specific example of multi-button collaborative operation of a power distribution terminal panel in Embodiment 1 are also applicable to the multi-button collaborative operating system of a power distribution terminal panel in this embodiment. Through the foregoing detailed description of the multi-button collaborative operation method of a power distribution terminal panel, those skilled in the art can clearly understand the multi-button collaborative operating system of a power distribution terminal panel in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0086] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0087] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for multi-button collaborative operation of a power distribution terminal panel, characterized in that, The method includes: In response to user multi-button input operations on the power distribution terminal panel, the system synchronously acquires button timing signals, button combination status, and the current operating mode of the panel, and records operation response parameters. Operation response parameters refer to response data related to button operations, including button press duration, button combination sequence, and pre-control button activation status. Based on the triggering order of the key timing signals and combined with the current operating mode of the panel, the functional target parameters in the multi-key input operation are identified. The functional target parameters refer to the parameters related to the function expected to be achieved through key operations, including the main function key identifier, auxiliary modifier key identifier, and operation semantic intensity. Based on the physical layout relationship of the button combination state, and combined with the current operating mode of the panel, identify the anti-mistouch constraint parameters in the multi-button input operation. The anti-mistouch constraint parameters are parameters used to prevent accidental touch operations, including the button proximity interference index, the accidental operation history frequency factor, and the mode sensitivity weight. Based on the functional target parameters and the anti-accidental touch constraint parameters, determine the operation mode dependencies; Based on the effective set of operation instructions after the operation mode dependency is corrected, and combined with the power distribution safety constraints, the operation response parameters are dynamically verified. The verified operation response parameters are loaded into the power distribution terminal actuator, and the communication interaction protocol and operation semantic mapping rules are configured.

2. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 1, characterized in that, Synchronously acquire key timing signals, key combination status, and the current operating mode of the panel, and record operation response parameters, including: The key timing signal includes the key press time, release time, double-click interval, and timing overlap. The key combination state covers the adjacency relationship and function grouping of all physical keys on the power distribution terminal panel. The operation response parameters include button press duration, button combination sequence, and pre-controlled button activation status.

3. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 1, characterized in that, Based on the current operating mode of the panel, identify the functional target parameters in the multi-button input operation, including: The functional target parameters include the main function key identifier, the auxiliary modifier key identifier, and the operational semantic strength; The main function key identifier and the auxiliary modifier key identifier are determined by acquiring the level state of the corresponding keys through independent GPIO channels, and the operation semantic strength is the timing coupling coefficient of the main function key and the auxiliary modifier key.

4. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 1, characterized in that, The anti-accidental touch constraint parameters include the button proximity interference index, the accidental operation history frequency factor, and the pattern sensitivity weight. The proximity interference index of the buttons is determined by the minimum distance between adjacent buttons in the physical layout and the pressure threshold. The frequency factor of the history of misoperation is positively correlated with the user's operating habits and is determined by the sliding window statistics of the local operation log; the mode sensitivity weight is the proportion of the permission level of key operations in the current operating mode.

5. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 1, characterized in that, The effective set of operation instructions, modified according to the operation mode dependencies, includes: Based on the revised set of valid operating instructions, the function instruction tree of the power distribution terminal panel is matched and controlled to construct a full-mode operating target matrix. The full-mode operating target matrix is ​​a matrix that comprehensively considers the operating targets under all operating modes and is used to describe the expected targets and execution conditions of operating instructions under different modes. The matching confidence of the target matrix of the full-mode operation is introduced, and the matching confidence is strengthened and verified by a Transformer-based multimodal anti-false judgment network; When the matching confidence level meets the standard and the convergence termination condition of the operation safety verification function is satisfied, the execution command is allowed to be output to the distribution terminal actuator.

6. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 5, characterized in that, The matching confidence is enhanced by using a Transformer-based multimodal anti-false positive network, which also includes: Based on the multi-key input operation, determine the multi-key input signal; The misjudgment suppression of the multi-button input signal adopts a multimodal anti-misjudgment network: the button timing signal and the terminal screen status image are used as dual-modal inputs, and the timing model is performed by the Transformer encoder. At the same time, the menu level and focus position features in the terminal screen status image are extracted by the convolutional neural network. After the dual-modal features are concatenated, they are input into the fully connected layer. The power supply ripple factor is determined using the voltage closed-loop feedback data from the power management unit. Based on the fully connected layer, the power supply ripple coefficient and the operation safety verification function are correlated, and the convergence termination condition of the operation safety verification function is set with key response delay error and instruction execution deviation.

7. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 6, characterized in that, The power supply ripple factor is determined using voltage closed-loop feedback data from the power management unit, including: Set the dynamic voltage regulation threshold of the power management unit: When the key response delay error is detected to exceed the preset threshold, the duty cycle adjustment of the DC-DC converter is automatically triggered. By reducing the equivalent series resistance of the output filter capacitor, the power supply ripple coefficient is controlled within the terminal MCU's operating tolerance threshold, and the error correction of the cooperative operation response sequence meets the accuracy benchmark.

8. The method for multi-button collaborative operation of a power distribution terminal panel as described in claim 7, characterized in that, The method includes: Based on the multi-button input signals, for multiple batches of user operation misjudgment events, the voltage stability parameter of the power management unit is incorporated into the misoperation tracing system; when any batch of operation misjudgment shows a systematic shift, by comparing the operation logs of different voltage drift intervals, the influence weight of power supply fluctuation on operation target identification is located, and the calibration coefficient of the operation mode dependency is optimized. A reliability assurance mechanism is established by controlling the power supply stability of the power management unit and suppressing misjudgments through the multimodal anti-misjudgment network.

9. A method for multi-button collaborative operation of a power distribution terminal panel as described in claim 8, characterized in that, The method includes: Based on the execution results of the collaborative operation response sequence, combined with the abnormal combinations in the multi-key input signals, risk operation candidate events are identified, and an operation risk classifier is trained. The inputs are operation time sequence entropy and mode jump frequency, and the output is risk level. The success rate, response delay, and permission compliance of this operation are determined by the collaborative operation response sequence. Operation audit annotations are then generated by combining the risk operation candidate events and their corresponding risk levels, and operation locking is triggered by the operation audit annotations.

10. A multi-button collaborative operating system for a power distribution terminal panel, characterized in that, The system is used to implement the multi-button collaborative operation method for a power distribution terminal panel according to any one of claims 1-9, wherein the system comprises: Multi-button input operation response module: Responds to the user's multi-button input operation on the power distribution terminal panel, synchronously acquires the button timing signal, button combination status and the current operating mode of the panel, and records the operation response parameters. The operation response parameters refer to the response data related to the button operation, including button press duration, button combination sequence and pre-control button activation status. Functional target parameter identification module: Based on the triggering order of the key timing signals and combined with the current operating mode of the panel, the module identifies the functional target parameters in the multi-key input operation. The functional target parameters refer to the parameters related to the function expected to be achieved through the key operation, including the main function key identifier, auxiliary modifier key identifier, and operation semantic intensity. Anti-accidental touch constraint parameter identification module: Based on the physical layout relationship of the button combination state and combined with the current operating mode of the panel, identify the anti-accidental touch constraint parameters in the multi-button input operation. The anti-accidental touch constraint parameters are parameters used to prevent accidental touch operations, including button proximity interference index, accidental operation history frequency factor and mode sensitivity weight. Operation mode dependency determination module: Determines operation mode dependencies based on the functional target parameters and the anti-accidental touch constraint parameters; Operation response parameter loading module: Based on the valid operation instruction set after the operation mode dependency is corrected, and combined with the power distribution safety constraints, dynamically verify the operation response parameters, load the verified operation response parameters into the power distribution terminal actuator, and configure the communication interaction protocol and operation semantic mapping rules.

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