A low-voltage intelligent control cabinet control method and system based on parameter self-adaptation

Abstract

This invention relates to the field of low-voltage electrical control technology, and discloses a control method and system for a low-voltage intelligent control cabinet based on parameter adaptation. The method includes: performing deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet to obtain a deviation vector; performing symbolic deconstruction on the deviation vector to obtain a sequence of symbolic changes; using a priori disturbance characteristic spectrum, weighting the symbolic change sequence based on characteristic responses to obtain disturbance decoupling weights for the deviation vector; performing disturbance recovery on the deviation vector based on the disturbance decoupling weights to obtain the true deviation amplitude of the deviation vector; performing transient compensation on the current control output value of the low-voltage intelligent control cabinet according to the true deviation amplitude to obtain a control correction amount for the current control output value; and performing fusion limiting encoding on the control correction amount and the current control output value to obtain the control command for the low-voltage intelligent control cabinet. This invention can improve the efficiency of a low-voltage intelligent control cabinet control based on parameter adaptation.

Description

Technical Field

[0001] This invention relates to the field of low-voltage electrical control technology, and in particular to a low-voltage intelligent control cabinet control method and system based on parameter adaptation. Background Technology

[0002] Existing low-voltage intelligent control cabinet control methods mostly rely on fixed parameters or preset rules for adjustment, lacking dynamic adaptability to changes in operating conditions. When load fluctuations, harmonic disturbances, or parameter drift occur in the power distribution environment, fixed control strategies cannot identify the actual deviations and interference components in the state parameters in real time, making it difficult for the control output to accurately match actual needs. Conventional methods have limited ability to decouple interference under multi-parameter coupling, and the mutual influence between parameters can easily lead to control overshoot or response hysteresis, affecting the adjustment accuracy and operational stability of the low-voltage intelligent control cabinet under non-stationary conditions.

[0003] Existing technologies typically rely on linear threshold judgment or simple proportional adjustment in the deviation quantification and compensation stages, failing to effectively utilize the sign change characteristics of state parameters and the prior disturbance spectrum. This results in insufficient differentiation between instantaneous disturbances and actual state deviations. The resulting control corrections often contain residual disturbances, requiring multiple subsequent iterations to approximate the target value, increasing convergence time and energy consumption. For low-voltage intelligent control cabinets requiring rapid transient response and high reliability, these limitations hinder further improvements in control efficiency. Therefore, improving the control efficiency of low-voltage intelligent control cabinets has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a low-voltage intelligent control cabinet control method and system based on parameter adaptation to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a low-voltage intelligent control cabinet control method based on parameter adaptation, comprising: P1. Based on the preset safety boundary threshold and historical normal feature template, the initial state parameter set of the low-voltage intelligent control cabinet is subjected to deviation quantization mapping to obtain the deviation vector of the initial state parameter set. P2. Perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector. Use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the perturbation decoupling weight of the deviation vector. P3. Based on the interference decoupling weight, the deviation vector is subjected to interference restoration to obtain the true deviation amplitude of the deviation vector; P4. Based on the actual deviation amplitude, perform transient compensation on the current control output value of the low-voltage intelligent control cabinet to obtain the control correction amount of the current control output value; P5. The control correction value and the current control output value are fused and limited to obtain the control command of the low-voltage intelligent control cabinet.

[0006] In a preferred embodiment, the deviation quantization mapping of the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and a historical normal feature template to obtain the deviation vector of the initial state parameter set includes: The real-time values ​​of each parameter are extracted from the initial state parameter set and compared with the standard values ​​in the historical normal feature template item by item to obtain the original difference of each parameter. Each original difference is compared with the allowable fluctuation range in the preset safety boundary threshold, and parameters that exceed the range are marked as deviation concerns. The original difference value of each deviation concern item is normalized to obtain the relative deviation value, and the relative deviation values ​​are combined according to the parameter order in the initial state parameter set to obtain the deviation vector.

[0007] In a preferred embodiment, the step of symbolically deconstructing the deviation vector to obtain a symbolic change sequence of the deviation vector, and then using a priori perturbation feature spectrum to weight the symbolic change sequence with feature responses to obtain the perturbation decoupling weight of the deviation vector, includes: Based on the positive and negative values ​​of each component in the deviation vector, the direction sign of the component change is marked to obtain the sign change sequence of the deviation vector; Extract the feature intensity values ​​corresponding to the sign change sequence from the prior perturbation feature spectrum; The positive or negative polarity of each symbol in the symbol change sequence is replaced with the corresponding feature intensity value symbol to obtain the weighted response value for each symbol position; The weighted response values ​​are aggregated in the order of the sign change sequence to form the interference decoupling weights.

[0008] In a preferred embodiment, replacing the positive or negative polarity of each symbol in the symbol change sequence with the corresponding feature intensity value symbol to obtain a weighted response value for each symbol position includes: Following the index order of the symbol change sequence, the sequence position number of each symbol is extracted sequentially; Extract the feature intensity value corresponding to the position number of the sequence and replace the original positive or negative sign of the feature intensity value; The feature intensity value after the positive and negative signs are replaced is output as the weighted response value of the sign position.

[0009] In a preferred embodiment, the step of restoring the deviation vector based on the interference decoupling weight to obtain the true deviation magnitude of the deviation vector includes: Align each deviation component in the deviation vector with the corresponding weight value in the interference decoupling weight; Subtract the weight value of the corresponding position from each deviation component to obtain the preliminary restored value of each deviation component; Determine the sign of the preliminary restored value, take the absolute value of each preliminary restored value, and use the absolute value as the amplitude of the true deviation component at the corresponding position; The true deviation component amplitudes are combined according to the original order of the deviation vector to form the true deviation amplitudes.

[0010] In a preferred embodiment, the step of performing transient compensation on the current control output value of the low-voltage intelligent control cabinet based on the true deviation amplitude to obtain the control correction amount of the current control output value includes: The true deviation amplitude is divided into multiple independent component amplitudes according to the original parameter order of the deviation vector; Each independent component amplitude is paired one by one with the output value of the corresponding control channel in the current control output value; Each paired component is directly added to the output value of the corresponding channel to obtain the temporary correction sub-quantity for each control channel; According to the parameter type order, the temporary correction sub-quantities of all control channels are merged to obtain the control correction quantity.

[0011] In a preferred embodiment, the step of fusing and limiting the control correction amount with the current control output value to obtain the control command for the low-voltage intelligent control cabinet includes: The control correction amount is added bit by bit to the output component of the corresponding control channel in the current control output value to obtain the preliminary fusion value of each control channel; The initial fusion value of each control channel is compared with the preset operating allowable boundary, and the part exceeding the operating allowable boundary is truncated to obtain the amplitude-limited fusion value of each control channel; The fused value after limiting is mapped according to the format requirements of the control command and converted into the command code segment of each control channel; The control commands are formed by concatenating the instruction code segments of all control channels in channel order.

[0012] In a preferred embodiment, the step of mapping the clipped fused value to a state according to the format requirements of the control command, and converting it into a command code segment for each control channel, includes: For each control channel, extract the fused value after clipping of the control channel, and calculate the nonlinear coding basis of the control channel: ; In the formula, This is the sequence number of the control channel. It serves as a non-linear coding basis; It is the arctangent function; This is the fusion value after amplitude limiting; To prevent positive numbers with a denominator of zero; For interference decoupling weights; This represents the true deviation amplitude component; It is a natural constant; The initial command code segment of the control channel is obtained by taking a weighted average of the nonlinear coding basis and the command code segment and rounding it down. Then, the initial command code segment is subjected to boundary clamping to obtain the command code segment of the control channel.

[0013] In a preferred embodiment, the step of taking a weighted average of the nonlinear coding basis and the instruction code segment and rounding it to obtain the preliminary instruction code segment of the control channel, and then performing boundary clamping on the preliminary instruction code segment to obtain the instruction code segment of the control channel, includes: The nonlinear coding base and the instruction code segment are added together in a fixed ratio to obtain a mixed value. The decimal part of the mixed value is removed, and the integer part is retained as the initial instruction code segment. The initial instruction code segment is restricted to a range of code values ​​allowed by the instruction format. If the value exceeds the range, the endpoint value of the range is taken to obtain the instruction code segment of the control channel.

[0014] To address the aforementioned problems, this invention also provides a low-voltage intelligent control cabinet control system based on parameter adaptation, the system comprising: The deviation quantization module is used to perform deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and a historical normal feature template, so as to obtain the deviation vector of the initial state parameter set. The interference weight module is used to perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector, and use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the interference decoupling weight of the deviation vector. The true deviation module is used to perform interference recovery on the deviation vector based on the interference decoupling weight to obtain the true deviation amplitude of the deviation vector; The compensation and correction module is used to perform transient compensation on the current control output value of the low-voltage intelligent control cabinet based on the actual deviation amplitude, so as to obtain the control correction amount of the current control output value; The fusion coding module is used to perform fusion and amplitude limiting coding on the control correction amount and the current control output value to obtain the control command of the low-voltage intelligent control cabinet.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention quantifies and deconstructs the initial state parameter set of a low-voltage intelligent control cabinet through deviation quantization mapping and symbolic deconstruction. It extracts disturbance decoupling weights using a priori disturbance feature spectrum, achieving quantitative restoration and removal of disturbance components in the deviation vector. This accurately restores the true deviation amplitude of each state parameter, avoiding contamination of state identification by instantaneous disturbances, and ensuring that control correction directly reflects the actual deviation of the system. Based on this, transient compensation is applied to the current control output value according to the true deviation amplitude. Combined with the fusion amplitude-limiting encoding of the control correction and the current output value, control commands conforming to the allowable operating boundaries are generated. This effectively improves the state perception accuracy and disturbance resistance capability of the low-voltage intelligent control cabinet under non-stationary operating conditions.

[0016] 2. This invention further optimizes the control command generation process by combining nonlinear coding basis calculation with weighted fusion of command code segments. Intermediate features such as interference decoupling weights and true deviation amplitude components are embedded into the command mapping process. Through the joint constraint of the arctangent function and the exponential decay factor, the command code value transitions smoothly within the boundary range, reducing output jumps caused by compensation superposition. The entire technical solution shortens the response delay from deviation detection to command output without relying on multiple iterative corrections, reduces the energy consumption cost of transient adjustment processes, and thus effectively improves the control efficiency and operational reliability of low-voltage intelligent control cabinets. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a low-voltage intelligent control cabinet control method based on parameter adaptation, provided in an embodiment of the present invention. Figure 2 A functional block diagram of a low-voltage intelligent control cabinet control system based on parameter adaptation is provided in an embodiment of the present invention; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides a parameter-adaptive low-voltage intelligent control cabinet control method. The executing entity of this parameter-adaptive low-voltage intelligent control cabinet control method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application embodiment: a server, a terminal, etc. In other words, the parameter-adaptive low-voltage intelligent control cabinet control method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating a low-voltage intelligent control cabinet control method based on parameter adaptation according to an embodiment of the present invention. In this embodiment, the low-voltage intelligent control cabinet control method based on parameter adaptation includes: P1. Based on the preset safety boundary threshold and historical normal feature template, the initial state parameter set of the low-voltage intelligent control cabinet is subjected to deviation quantization mapping to obtain the deviation vector of the initial state parameter set.

[0021] In this embodiment of the invention, the step of performing deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and a historical normal feature template to obtain a deviation vector of the initial state parameter set includes: The real-time values ​​of each parameter are extracted from the initial state parameter set and compared with the standard values ​​in the historical normal feature template item by item to obtain the original difference of each parameter. Each original difference is compared with the allowable fluctuation range in the preset safety boundary threshold, and parameters that exceed the range are marked as deviation concerns. The original difference value of each deviation concern item is normalized to obtain the relative deviation value, and the relative deviation values ​​are combined according to the parameter order in the initial state parameter set to obtain the deviation vector.

[0022] The real-time values ​​of each parameter are extracted from the initial state parameter set and compared item by item with the standard values ​​in the historical normal feature template to obtain the original difference of each parameter. The acquisition unit built into the low-voltage intelligent control cabinet reads the current measurement value of each parameter at fixed time intervals. These measurement values ​​constitute the initial state parameter set. At the same time, the pre-stored historical normal feature template is retrieved from the memory. This template records the standard value of each parameter under normal operating conditions. Then, the real-time value of each parameter is subtracted from the standard value of the corresponding parameter item by item. The difference obtained after subtraction is the original difference of each parameter.

[0023] Each original difference is compared with the allowable fluctuation range in the preset safety boundary threshold. Parameters that exceed the range are marked as deviation concerns. The preset safety boundary threshold includes the upper and lower limits of the allowable fluctuation for each parameter. The two limits form an allowable fluctuation range. The original difference of each parameter is compared with the corresponding allowable fluctuation range. If the original difference is less than the lower limit of the range or greater than the upper limit of the range, it is determined that the original difference exceeds the allowable fluctuation range. For parameters that exceed the range, a mark is made on their identifier. The marked parameters are called deviation concerns.

[0024] The original difference value of each deviation concern item is normalized to obtain a relative deviation value. The relative deviation values ​​are then combined according to the parameter order in the initial state parameter set to obtain a deviation vector. For each parameter marked as a deviation concern item, its original difference value is divided by the length of its corresponding allowable fluctuation range. The normalized value is called the relative deviation value. Then, according to the original arrangement order of the parameters in the initial state parameter set, the relative deviation value of each position is filled into the corresponding position. For parameter positions not marked as deviation concern items, the value of zero is filled in. The final numerical sequence is the deviation vector.

[0025] The beneficial effects are as follows: by comparing and calculating the differences of the initial state parameter set of the low-voltage intelligent control cabinet item by item, the original difference value of each parameter can be accurately obtained, providing a quantitative basis for subsequent deviation identification. Comparing the original difference value with the allowable fluctuation range in the preset safety boundary threshold can accurately screen out deviations of concern that exceed the normal range, avoiding indiscriminate processing of all parameters and reducing computational redundancy. The original difference values ​​of deviations of concern are normalized, unifying the original differences of different dimensions and ranges into relative deviation values, and combining them into a deviation vector according to the original order of the initial state parameter set, so that the deviation vector completely retains the position information and relative deviation degree of the parameters. This process effectively eliminates normal fluctuations within the safety boundary, focuses on the abnormal parameters that truly need intervention, and at the same time, eliminates the influence of parameter unit differences through normalization, providing structurally unified and physically meaningful input data for subsequent symbol deconstruction and interference decoupling, improving the accuracy and efficiency of the low-voltage intelligent control cabinet in the state identification stage.

[0026] P2. Perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector. Use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the perturbation decoupling weight of the deviation vector.

[0027] In this embodiment of the invention, the step of symbolically deconstructing the deviation vector to obtain a symbolic change sequence of the deviation vector, and then using a priori perturbation feature spectrum to weight the symbolic change sequence with feature responses to obtain the perturbation decoupling weight of the deviation vector, includes: Based on the positive and negative values ​​of each component in the deviation vector, the direction sign of the component change is marked to obtain the sign change sequence of the deviation vector; Extract the feature intensity values ​​corresponding to the sign change sequence from the prior perturbation feature spectrum; The positive or negative polarity of each symbol in the symbol change sequence is replaced with the corresponding feature intensity value symbol to obtain the weighted response value for each symbol position; The weighted response values ​​are aggregated in the order of the sign change sequence to form the interference decoupling weights.

[0028] The step of replacing the corresponding feature intensity value symbol with the positive or negative polarity of each symbol in the symbol change sequence to obtain the weighted response value at each symbol position includes: Following the index order of the symbol change sequence, the sequence position number of each symbol is extracted sequentially; Extract the feature intensity value corresponding to the position number of the sequence and replace the original positive or negative sign of the feature intensity value; The feature intensity value after the positive and negative signs are replaced is output as the weighted response value of the sign position.

[0029] Based on the sign of each component in the deviation vector, the change of the component is marked with a direction sign to obtain the sign change sequence of the deviation vector: take out the value of each component in the deviation vector, determine whether the value is greater than zero or less than zero, mark it with a positive sign as a direction sign if it is greater than zero, mark it with a negative sign as a direction sign if it is less than zero, and mark it with a zero sign if it is equal to zero. Arrange the direction signs corresponding to each component in the original order of the component in the deviation vector. The resulting symbol string is the sign change sequence.

[0030] Extract the feature intensity value corresponding to the symbol change sequence from the prior perturbation feature spectrum: The prior perturbation feature spectrum is a pre-constructed table. Each row of the table records a symbol change sequence pattern and a feature intensity value corresponding to the pattern. The feature intensity value itself is a numerical value with a positive or negative sign. Using the currently obtained symbol change sequence as the lookup key, locate the row containing the completely identical symbol change sequence pattern in the table of the prior perturbation feature spectrum, and retrieve the pre-stored feature intensity value from that row.

[0031] Following the index order of the symbol change sequence, the sequence position number of each symbol is extracted sequentially: starting from the first symbol position in the symbol change sequence, the position number of the symbol in the sequence is recorded as number one, then move to the second symbol position and record its position number as number two, and continue to traverse in this way until the position number of the last symbol is extracted. The total number of position numbers is equal to the length of the symbol change sequence.

[0032] Extract the feature intensity value corresponding to the position number of the sequence and replace the original positive and negative sign of the feature intensity value: The feature intensity value extracted from the prior perturbation feature spectrum is itself a numerical value with a positive and negative sign. Decompose the feature intensity value into two parts according to its numerical value and positive and negative sign, namely the absolute value and the sign. Then ignore the original sign of the feature intensity value. According to the direction sign in the sign change sequence corresponding to the position number of the current sign position, use the direction sign as the new sign. Recombine the new sign with the absolute value of the feature intensity value to form a new numerical value. This new numerical value is called the weighted response value of the sign position.

[0033] The weighted response values ​​are summarized in the order of the symbol change sequence to form the interference decoupling weights: the weighted response values ​​obtained at each symbol position are put into a new sequence in the order of the symbols in the symbol change sequence. The first element of the sequence corresponds to the weighted response value at the first symbol position of the symbol change sequence, the second element corresponds to the weighted response value at the second symbol position, and so on. The final numerical sequence is the interference decoupling weights.

[0034] The beneficial effects are as follows: by marking the sign of each component in the deviation vector, continuous numerical information is transformed into a discrete sequence of sign changes, eliminating the interference of numerical magnitude on direction judgment and allowing subsequent processing to focus on the trend of deviation changes. Utilizing the pre-stored correspondence between sign patterns and feature intensity values ​​in the prior perturbation feature spectrum table, the feature intensity value corresponding to the current sign change sequence can be quickly located, avoiding the overhead of real-time calculation of perturbation features. The original positive and negative signs of the feature intensity values ​​are replaced with the directional signs at the corresponding positions in the sign change sequence, ensuring that the signs of the feature intensity values ​​are consistent with the actual deviation direction. The generated weighted response value simultaneously carries both prior perturbation intensity and real-time direction information. The weighted response values ​​at all sign positions are summarized in their original order as interference decoupling weights. These weights correspond one-to-one with the deviation vector in structure, providing a precise pairing basis for subsequently separating interference components from the deviation vector, effectively improving the low-voltage intelligent control cabinet's ability to distinguish between real deviations and instantaneous disturbances in multi-parameter coupled environments.

[0035] P3. Based on the interference decoupling weight, the deviation vector is subjected to interference restoration to obtain the true deviation amplitude of the deviation vector.

[0036] In this embodiment of the invention, the step of restoring the deviation vector based on the interference decoupling weight to obtain the true deviation magnitude of the deviation vector includes: Align each deviation component in the deviation vector with the corresponding weight value in the interference decoupling weight; Subtract the weight value of the corresponding position from each deviation component to obtain the preliminary restored value of each deviation component; Determine the sign of the preliminary restored value, take the absolute value of each preliminary restored value, and use the absolute value as the amplitude of the true deviation component at the corresponding position; The true deviation component amplitudes are combined according to the original order of the deviation vector to form the true deviation amplitudes.

[0037] Align each deviation component in the deviation vector with the corresponding weight value in the interference decoupling weight: Take the first deviation component in the deviation vector and the first weight value in the interference decoupling weight, and treat these two values ​​as a pair. Then take the second deviation component in the deviation vector and the second weight value in the interference decoupling weight, and treat these two values ​​as a pair. In this way, pair each deviation component in the deviation vector with the weight value at the same position in the interference decoupling weight, so that each deviation component has a corresponding weight value to align with it.

[0038] To obtain the initial restored value of each deviation component, subtract the weight value of the corresponding position from each deviation component: For each pair of aligned values, take the deviation component value in the pair and subtract the weight value in the pair. The result of the subtraction is a new value, which is the initial restored value corresponding to the deviation component. Perform the subtraction operation once for each pair of values ​​to obtain the same number of initial restored values ​​as the number of deviation components.

[0039] Determine the sign of the preliminary restored value, take the absolute value of each preliminary restored value, and use the absolute value as the true deviation component amplitude at the corresponding position: Take out each preliminary restored value and observe whether the value is positive or negative. If the value is positive, directly retain the value as the true deviation component amplitude. If the value is negative, remove its negative sign to make the value positive and use the resulting positive value as the true deviation component amplitude. If the value is zero, directly take zero as the true deviation component amplitude.

[0040] The true deviation component amplitudes are combined according to the original order of the deviation vector to form the true deviation amplitudes: the true deviation component amplitude corresponding to the first deviation component is placed in the first position of the new sequence, the true deviation component amplitude corresponding to the second deviation component is placed in the second position of the new sequence, and so on, putting all the true deviation component amplitudes into the new sequence in the same order as the deviation vector. The resulting numerical sequence is the true deviation amplitude.

[0041] The beneficial effect is that by aligning each deviation component in the deviation vector with the corresponding weight value in the interference decoupling weight, precise pairing of the two sequences at the same position is achieved, establishing a correct correspondence for subsequent subtraction operations. Subtracting the corresponding weight value from each deviation component removes the interference component characterized by the prior disturbance feature spectrum from the original deviation, yielding a preliminary restored value. Determining the sign of the preliminary restored value and taking its absolute value eliminates the negative sign effect that may occur during subtraction, ensuring that the true deviation component amplitude is always non-negative and accurately reflects the actual deviation of the parameter from the normal operating state. Combining the true deviation component amplitudes according to the original order of the deviation vector preserves the positional information and amplitude of each parameter. This process effectively distinguishes between instantaneous disturbances and true state deviations, eliminates the disturbance contribution carried in the interference decoupling weight, and ensures that the final true deviation amplitude accurately reflects the actual degree to which each parameter of the low-voltage intelligent control cabinet deviates from the safe operating baseline. This provides a clean deviation basis for subsequent transient compensation, avoiding miscompensation or overcompensation problems caused by residual interference.

[0042] P4. Based on the actual deviation amplitude, perform transient compensation on the current control output value of the low-voltage intelligent control cabinet to obtain the control correction amount of the current control output value.

[0043] In this embodiment of the invention, the step of performing transient compensation on the current control output value of the low-voltage intelligent control cabinet based on the true deviation amplitude to obtain the control correction amount of the current control output value includes: The true deviation amplitude is divided into multiple independent component amplitudes according to the original parameter order of the deviation vector; Each independent component amplitude is paired one by one with the output value of the corresponding control channel in the current control output value; Each paired component is directly added to the output value of the corresponding channel to obtain the temporary correction sub-quantity for each control channel; According to the parameter type order, the temporary correction sub-quantities of all control channels are merged to obtain the control correction quantity.

[0044] The true deviation amplitude is split into multiple independent component amplitudes according to the original parameter order of the deviation vector: the true deviation amplitude itself is a numerical sequence, and each value in the sequence corresponds to the true deviation component amplitude of a parameter in the deviation vector. According to the original arrangement order of the parameters in the deviation vector, each value is taken out one by one from the true deviation amplitude sequence, and each taken-out value is used as an independent component amplitude.

[0045] Each independent component amplitude is paired one by one with the output value of the corresponding control channel in the current control output value: the current control output value contains the output values ​​of multiple control channels, and each control channel corresponds to a parameter type in the deviation vector. The first independent component amplitude is taken out, and the output value of the first control channel is taken out at the same time. These two values ​​are paired together. Then the second independent component amplitude is taken out, and the output value of the second control channel is taken out at the same time. These two values ​​are paired together. In this way, each independent component amplitude is paired one by one with the output value of the control channel at the same position.

[0046] Each paired component is directly added to the output value of the corresponding channel to obtain the temporary correction sub-quantity for each control channel: For each pair of paired values, the amplitude of the independent component in the pair is added to the output value of the control channel in the pair, and a new value is obtained after addition. This new value is the temporary correction sub-quantity corresponding to the control channel. The addition operation is performed once for each pair of values ​​to obtain the same number of temporary correction sub-quantities as the number of independent component amplitudes.

[0047] According to the parameter type order, the temporary correction sub-quantities of all control channels are merged to obtain the control correction quantity: the temporary correction sub-quantity of the first control channel is placed in the first position of the new sequence, the temporary correction sub-quantity of the second control channel is placed in the second position of the new sequence, and all temporary correction sub-quantities are put into the new sequence in turn according to the original order of the parameter types corresponding to the control channels. The final numerical sequence is the control correction quantity.

[0048] The beneficial effects are as follows: by splitting the true deviation amplitude into multiple independent component amplitudes according to the original parameters of the deviation vector, the correspondence between the true deviation amplitude of each parameter and its physical meaning is preserved. Each independent component amplitude is paired one-to-one with the output value of the corresponding control channel in the current control output value, ensuring that each control channel only receives compensation amounts matching its own parameter type, avoiding cross-channel interference. Each paired component is directly added to the output value of the corresponding channel, achieving instantaneous application of transient compensation without iterative adjustment. Temporary correction sub-quantities of all control channels are merged into control correction quantities in order of parameter type, making the correction quantity structure completely consistent with the current control output value structure, facilitating subsequent fusion operations. This process directly superimposes the true deviation amplitude onto the current control output value in an additive manner, with the compensation direction consistent with the deviation direction, resulting in fast response speed. Furthermore, since the true deviation amplitude has already eliminated interference components, the compensation action only targets the actual deviation, without introducing additional oscillations, effectively improving the transient response performance and control accuracy of the low-voltage intelligent control cabinet under dynamic operating conditions.

[0049] P5. The control correction value and the current control output value are fused and limited to obtain the control command of the low-voltage intelligent control cabinet.

[0050] In this embodiment of the invention, the step of fusing and limiting the control correction amount with the current control output value to obtain the control command for the low-voltage intelligent control cabinet includes: The control correction amount is added bit by bit to the output component of the corresponding control channel in the current control output value to obtain the preliminary fusion value of each control channel; The initial fusion value of each control channel is compared with the preset operating allowable boundary, and the part exceeding the operating allowable boundary is truncated to obtain the amplitude-limited fusion value of each control channel; The fused value after limiting is mapped according to the format requirements of the control command and converted into the command code segment of each control channel; The control commands are formed by concatenating the instruction code segments of all control channels in channel order.

[0051] The step of mapping the amplitude-limited fused value to a state according to the format requirements of the control command, and converting it into a command code segment for each control channel, includes: For each control channel, extract the fused value after clipping of the control channel, and calculate the nonlinear coding basis of the control channel: ; In the formula, This is the sequence number of the control channel. It serves as a non-linear coding basis; It is the arctangent function; This is the fusion value after amplitude limiting; To prevent positive numbers with a denominator of zero; For interference decoupling weights; This represents the true deviation amplitude component; It is a natural constant; The initial command code segment of the control channel is obtained by taking a weighted average of the nonlinear coding basis and the command code segment and rounding it down. Then, the initial command code segment is subjected to boundary clamping to obtain the command code segment of the control channel.

[0052] The step of taking a weighted average of the nonlinear coding basis and the instruction code segment and rounding it to obtain the preliminary instruction code segment of the control channel, and then performing boundary clamping on the preliminary instruction code segment to obtain the instruction code segment of the control channel, includes: The nonlinear coding base and the instruction code segment are added together in a fixed ratio to obtain a mixed value. The decimal part of the mixed value is removed, and the integer part is retained as the initial instruction code segment. The initial instruction code segment is restricted to a range of code values ​​allowed by the instruction format. If the value exceeds the range, the endpoint value of the range is taken to obtain the instruction code segment of the control channel.

[0053] The control correction amount is added bit by bit to the output component of the corresponding control channel in the current control output value to obtain the preliminary fusion value of each control channel: the first value in the control correction amount sequence is taken out, and the first value in the current control output value sequence is taken out at the same time. The two values ​​are added together, and the result is used as the preliminary fusion value of the first control channel. Then the second value in the control correction amount sequence is taken out and added to the second value in the current control output value sequence to obtain the preliminary fusion value of the second control channel. In this way, the value of each position in the control correction amount is added to the value of the same position in the current control output value to obtain the same number of preliminary fusion values ​​as the number of channels.

[0054] The initial fusion value of each control channel is compared with the preset operating allowable boundary, and the portion exceeding the operating allowable boundary is truncated to obtain the amplitude-limited fusion value of each control channel. The preset operating allowable boundary includes the upper and lower limits of each control channel. The initial fusion value of the first control channel is taken out, and it is determined whether the value is less than the lower limit. If it is less than the lower limit, the amplitude-limited fusion value of the channel is set as the lower limit. If it is greater than the upper limit, the amplitude-limited fusion value of the channel is set as the upper limit. If the value is between the lower and upper limits, the original value is directly retained as the amplitude-limited fusion value. The comparison and truncation operation is performed once for the initial fusion value of each control channel to obtain the amplitude-limited fusion value of each control channel.

[0055] For each control channel, the amplitude-limited fusion value of the control channel is extracted, and the nonlinear coding basis of the control channel is calculated: the amplitude-limited fusion value of the first control channel is extracted, along with the interference decoupling weight and the true deviation amplitude component corresponding to that control channel. The square root of the product of the interference decoupling weight and the true deviation amplitude component is taken. The amplitude-limited fusion value is divided by the sum of a very small positive number and the square root above to obtain a new ratio. The arctangent function value of this ratio is calculated, and then the arctangent function value is multiplied by one part of pi and then by two to obtain the first product. Then, the absolute value of the negative interference decoupling weight multiplied by the amplitude-limited fusion value is calculated. The exponential function value of this product is taken with the natural constant as the base, and then the exponential function value is added to one to obtain the second product. The first product and the second product are multiplied together, and the result is used as the nonlinear coding basis of that control channel. The same calculation process is performed for each control channel to obtain the nonlinear coding basis of each control channel.

[0056] The initial command code segment for the control channel is obtained by taking a weighted average of the nonlinear coding basis and the command code segment and rounding it down. Then, the initial command code segment is bounded to obtain the command code segment for the control channel. The nonlinear coding basis of the first control channel is extracted, along with its default command code segment. The nonlinear coding basis is multiplied by a pre-set first weighting coefficient, and the default command code segment is multiplied by a pre-set second weighting coefficient. These two products are added together to obtain a mixed value. The decimal part of the mixed value is removed, and only the integer part is retained. This integer is used as the initial command code segment. This initial command code segment is compared with the minimum and maximum code values ​​allowed by the command format. If the initial command code segment is less than the minimum code value, it is set to the minimum code value; if it is greater than the maximum code value, it is set to the maximum code value; if it is between the two, it remains unchanged. The final value obtained is the command code segment for that control channel. The above operation is performed for each control channel to obtain the command code segment for each control channel.

[0057] The command code segments of all control channels are concatenated in channel order to form the control command: the command code segment of the first control channel is placed at the beginning of the entire control command, the command code segment of the second control channel is placed immediately after the first command code segment, and all command code segments are connected end to end in the original order of the control channels to form a continuous binary or digital string. This complete data string is the control command of the low-voltage intelligent control cabinet.

[0058] For each control channel, the amplitude-limited fusion value of the control channel is extracted, and the nonlinear coding basis of the control channel is calculated: the amplitude-limited fusion value is obtained by comparing the preliminary fusion value with the preset operating allowable boundary and truncating the excess part; the interference decoupling weight is obtained from the weight value corresponding to the control channel in the weight sequence formed by symbol deconstructing the deviation vector and weighting the characteristic response; the true deviation amplitude component is obtained from the component value corresponding to the control channel in the true deviation amplitude sequence. To prevent the positive number with zero denominator from being a pre-set extremely small positive number, these values ​​are substituted into the calculation process of the nonlinear coding basis.

[0059] When calculating the nonlinear coding basis, first multiply the absolute value of the interference decoupling weight by the true deviation amplitude component, then take the square root of the product to obtain the radical value in the denominator. Then divide the fused value after amplitude limiting by the sum of the positive number to prevent the denominator from being zero and the above radical value to obtain a ratio. Next, calculate the arctangent function value of this ratio, and then multiply the arctangent function value by two parts of pi to obtain the first integral. Then calculate the negative interference decoupling weight multiplied by the absolute value of the fused value after amplitude limiting, take the exponential function value of the product with the natural constant as the base to obtain the exponential term, and then add one to the exponential term to obtain the second integral. Finally, multiply the first integral and the second integral to obtain the nonlinear coding basis.

[0060] The significance of the nonlinear coding basis lies in mapping the fused value after clipping to a new numerical space after nonlinear transformation. The numerical space is simultaneously adjusted by the interference decoupling weight and the true deviation amplitude component, so that when the fused value after clipping deviates from the normal range, the rate of change of the basis will change adaptively, thereby providing a smooth intermediate quantity with boundary constraints for the generation of subsequent instruction code segments.

[0061] The changing trend of the nonlinear coding basis is as follows: When the absolute value of the fused value after clipping is very small, the arctangent function value is approximately proportional to the input ratio, and the exponential factor is close to two. Therefore, the basis is approximately linearly related to the fused value after clipping, and the change is relatively gentle. When the absolute value of the fused value after clipping increases, the arctangent function value gradually approaches half of pi, making the first multiplicative integral approach one. At the same time, the absolute value of the negative exponent in the exponential factor increases, and the exponential function value approaches zero. Therefore, one plus this exponential value approaches one, and the entire basis approaches one, no longer increasing with the fused value after clipping, achieving a natural upper limit saturation characteristic. When the interference decoupling weight or the true deviation amplitude component is large, the radical value in the denominator increases, making the input ratio of the arctangent function smaller, and the basis growth slows down. That is, under high disturbance or large deviation conditions, the basis is less sensitive to changes in the fused value after clipping, playing a role in suppressing over-adjustment.

[0062] The beneficial effects are as follows: by adding the control correction value bit by bit to the current control output value to obtain the initial fusion value, the compensation value and the current output are directly superimposed, resulting in the shortest response path. Each initial fusion value is compared with the preset allowable operating boundary and the excess portion is truncated, ensuring that the fusion value after limiting always remains within the safe operating range of the equipment, avoiding output exceeding limits due to excessive compensation. A nonlinear coding basis is calculated for each control channel. This basis naturally saturates as the fusion value after limiting increases, automatically reducing sensitivity under high disturbance or large deviation conditions to suppress over-adjustment. The nonlinear coding basis and the instruction code segment are weighted, rounded, and boundary clamped, so that the final instruction code segment incorporates the smooth characteristics of the nonlinear coding basis while strictly conforming to the code value range of the instruction format. All channel instruction code segments are sequentially concatenated to form the control instruction, ensuring the synchronization and structural integrity of the multi-channel output. This process, while ensuring that the control instruction does not exceed the limits, achieves smooth mapping of transient compensation, reduces output jumps, and improves the quality of control instruction generation and execution reliability of the low-voltage intelligent control cabinet in a multi-parameter coupling environment.

[0063] like Figure 2 The diagram shown is a functional block diagram of a low-voltage intelligent control cabinet control system based on parameter adaptation provided in an embodiment of the present invention.

[0064] The parameter-adaptive low-voltage intelligent control cabinet control system 100 described in this invention can be installed in an electronic device. Depending on the functions implemented, the parameter-adaptive low-voltage intelligent control cabinet control system 100 may include a deviation quantization module 101, an interference weighting module 102, a true deviation module 103, a compensation correction module 104, and a fusion encoding module 105. The module described in this invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.

[0065] In this embodiment, the functions of each module / unit are as follows: The deviation quantization module 101 is used to perform deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and a historical normal feature template, so as to obtain the deviation vector of the initial state parameter set. The interference weight module 102 is used to perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector, and use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the interference decoupling weight of the deviation vector. The true deviation module 103 is used to perform interference recovery on the deviation vector based on the interference decoupling weight to obtain the true deviation amplitude of the deviation vector. The compensation and correction module 104 is used to perform transient compensation on the current control output value of the low-voltage intelligent control cabinet according to the actual deviation amplitude, so as to obtain the control correction amount of the current control output value. The fusion coding module 105 is used to perform fusion and amplitude limiting coding on the control correction amount and the current control output value to obtain the control command of the low-voltage intelligent control cabinet.

[0066] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0067] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0068] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0069] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0070] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A low-voltage intelligent control cabinet control method based on parameter adaptation, characterized in that, The method includes: P1. Based on the preset safety boundary threshold and historical normal feature template, the initial state parameter set of the low-voltage intelligent control cabinet is subjected to deviation quantization mapping to obtain the deviation vector of the initial state parameter set. P2. Perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector. Use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the perturbation decoupling weight of the deviation vector. P3. Based on the interference decoupling weight, the deviation vector is subjected to interference restoration to obtain the true deviation amplitude of the deviation vector; P4. Based on the actual deviation amplitude, perform transient compensation on the current control output value of the low-voltage intelligent control cabinet to obtain the control correction amount of the current control output value; P5. The control correction value and the current control output value are fused and limited to obtain the control command of the low-voltage intelligent control cabinet.

2. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 1, characterized in that, The method involves performing deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and historical normal feature template, to obtain a deviation vector for the initial state parameter set, including: The real-time values ​​of each parameter are extracted from the initial state parameter set and compared with the standard values ​​in the historical normal feature template item by item to obtain the original difference of each parameter. Each original difference is compared with the allowable fluctuation range in the preset safety boundary threshold, and parameters that exceed the range are marked as deviation concerns. The original difference value of each deviation concern item is normalized to obtain the relative deviation value, and the relative deviation values ​​are combined according to the parameter order in the initial state parameter set to obtain the deviation vector.

3. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 1, characterized in that, The symbolic deconstruction of the deviation vector yields a sequence of symbolic changes in the deviation vector. Using a priori perturbation feature spectrum, the symbolic change sequence is weighted by feature responses to obtain the perturbation decoupling weights of the deviation vector, including: Based on the positive and negative values ​​of each component in the deviation vector, the direction sign of the component change is marked to obtain the sign change sequence of the deviation vector; Extract the feature intensity values ​​corresponding to the sign change sequence from the prior perturbation feature spectrum; The positive or negative polarity of each symbol in the symbol change sequence is replaced with the corresponding feature intensity value symbol to obtain the weighted response value for each symbol position; The weighted response values ​​are aggregated in the order of the sign change sequence to form the interference decoupling weights.

4. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 3, characterized in that, The step of replacing the corresponding feature intensity value symbol with the positive or negative polarity of each symbol in the symbol change sequence to obtain the weighted response value at each symbol position includes: Following the index order of the symbol change sequence, the sequence position number of each symbol is extracted sequentially; Extract the feature intensity value corresponding to the position number of the sequence and replace the original positive or negative sign of the feature intensity value; The feature intensity value after the positive and negative signs are replaced is output as the weighted response value of the sign position.

5. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 1, characterized in that, The step of restoring the deviation vector based on the interference decoupling weight to obtain the true deviation magnitude of the deviation vector includes: Align each deviation component in the deviation vector with the corresponding weight value in the interference decoupling weight; Subtract the weight value of the corresponding position from each deviation component to obtain the preliminary restored value of each deviation component; Determine the sign of the preliminary restored value, take the absolute value of each preliminary restored value, and use the absolute value as the amplitude of the true deviation component at the corresponding position; The true deviation component amplitudes are combined according to the original order of the deviation vector to form the true deviation amplitudes.

6. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 1, characterized in that, The step of performing transient compensation on the current control output value of the low-voltage intelligent control cabinet based on the actual deviation amplitude to obtain the control correction amount of the current control output value includes: The true deviation amplitude is divided into multiple independent component amplitudes according to the original parameter order of the deviation vector; Each independent component amplitude is paired one by one with the output value of the corresponding control channel in the current control output value; Each paired component is directly added to the output value of the corresponding channel to obtain the temporary correction sub-quantity for each control channel; According to the parameter type order, the temporary correction sub-quantities of all control channels are merged to obtain the control correction quantity.

7. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 1, characterized in that, The process of fusing and limiting the control correction value with the current control output value to obtain the control command for the low-voltage intelligent control cabinet includes: The control correction amount is added bit by bit to the output component of the corresponding control channel in the current control output value to obtain the preliminary fusion value of each control channel; The initial fusion value of each control channel is compared with the preset operating allowable boundary, and the part exceeding the operating allowable boundary is truncated to obtain the amplitude-limited fusion value of each control channel; The fused value after limiting is mapped according to the format requirements of the control command and converted into the command code segment of each control channel; The control commands are formed by concatenating the instruction code segments of all control channels in channel order.

8. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 7, characterized in that, The step of mapping the amplitude-limited fused value to a state according to the format requirements of the control command, and converting it into a command code segment for each control channel, includes: For each control channel, extract the fused value after clipping of the control channel, and calculate the nonlinear coding basis of the control channel: ； In the formula, This is the sequence number of the control channel. It serves as a non-linear coding basis; It is the arctangent function; This is the fusion value after amplitude limiting; To prevent positive numbers with a denominator of zero; For interference decoupling weights; This represents the true deviation amplitude component; It is a natural constant; The initial command code segment of the control channel is obtained by taking a weighted average of the nonlinear coding basis and the command code segment and rounding it down. Then, the initial command code segment is subjected to boundary clamping to obtain the command code segment of the control channel.

9. The low-voltage intelligent control cabinet control method based on parameter adaptation as described in claim 8, characterized in that, The step of taking a weighted average of the nonlinear coding basis and the instruction code segment and rounding it to obtain the preliminary instruction code segment of the control channel, and then performing boundary clamping on the preliminary instruction code segment to obtain the instruction code segment of the control channel, includes: The nonlinear coding base and the instruction code segment are added together in a fixed ratio to obtain a mixed value. The decimal part of the mixed value is removed, and the integer part is retained as the initial instruction code segment. The initial instruction code segment is restricted to a range of code values ​​allowed by the instruction format. If the value exceeds the range, the endpoint value of the range is taken to obtain the instruction code segment of the control channel.

10. A low-voltage intelligent control cabinet control system based on parameter adaptation, characterized in that, For implementing the low-voltage intelligent control cabinet control method based on parameter adaptation as described in any one of claims 1-9, the system comprises: The deviation quantization module is used to perform deviation quantization mapping on the initial state parameter set of the low-voltage intelligent control cabinet based on a preset safety boundary threshold and a historical normal feature template, so as to obtain the deviation vector of the initial state parameter set. The interference weight module is used to perform symbolic deconstruction on the deviation vector to obtain the symbolic change sequence of the deviation vector, and use the prior perturbation feature spectrum to perform feature response weighting on the symbolic change sequence to obtain the interference decoupling weight of the deviation vector. The true deviation module is used to perform interference recovery on the deviation vector based on the interference decoupling weight to obtain the true deviation amplitude of the deviation vector; The compensation and correction module is used to perform transient compensation on the current control output value of the low-voltage intelligent control cabinet based on the actual deviation amplitude, so as to obtain the control correction amount of the current control output value; The fusion coding module is used to perform fusion and amplitude limiting coding on the control correction amount and the current control output value to obtain the control command of the low-voltage intelligent control cabinet.

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