A substation construction site boundary transgression alarm battery energy consumption management system

Abstract

The application discloses a substation construction site boundary alarm battery energy consumption management system, belonging to the technical field of boundary alarm energy consumption management, aiming to solve the problems that the existing scheme is difficult to adapt to dynamic electromagnetic interference, the core function performance is easily affected by energy consumption control, and a standardized management and control mechanism is lacked, a function classification and data acquisition module is used to collect interference data, including intensity, frequency band and change rate, to quantitatively divide core / non-core functions and construct an interference-energy consumption-anti-interference database; an interference adaptation initial power consumption distribution module is used to combine real-time interference parameters and core function-interference intensity correlation characteristics to dynamically distribute core and adjustable non-core function power consumption; and an energy consumption calibration and rule generation module is used to compare the upper limit of total energy consumption, supplement or compress energy consumption and construct a standardized power consumption gradient distribution rule; the application realizes energy consumption and anti-interference balance, guarantees core performance, improves management automation and stability and adapts to the dynamic interference scene of a substation.

Description

Technical Field

[0001] This invention belongs to the field of boundary crossing alarm energy consumption management technology, specifically relating to a battery energy consumption management system for boundary crossing alarms in substation construction sites. Background Technology

[0002] Electromagnetic interference at substation construction sites exhibits dynamic fluctuations. Different construction phases and the start / stop of machinery cause real-time changes in interference intensity and frequency band. Existing boundary crossing alarm energy management solutions lack real-time linkage between interference status and power consumption allocation. They either maintain interference immunity with fixed high power consumption, resulting in energy redundancy, or operate with fixed low power consumption, leading to interference immunity failure during high-interference periods. This makes it difficult to adapt to dynamic interference requirements. Specifically, the following technical issues are raised:

[0003] The lack of a quantitative distinction between core and non-core functions makes it impossible to provide a clear basis and priority guidance for energy consumption optimization.

[0004] It is impossible to achieve dynamic and precise power consumption allocation between core functions and adjustable non-core functions based on the correlation characteristics between core functions and interference intensity, combined with real-time interference parameters.

[0005] The lack of an energy consumption replenishment and compression mechanism under the total energy consumption limit control makes it difficult to ensure the core function's anti-interference bottom line while keeping the total energy consumption within the limit, and there are no standardized rules to support the long-term stable operation of the system. Therefore, we propose a battery energy consumption management system for boundary crossing alarm devices in substation construction sites. Summary of the Invention

[0006] The purpose of this invention is to provide a battery energy consumption management system for boundary crossing alarms in substation construction sites, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a battery energy consumption management system for a boundary crossing alarm in a substation construction site, comprising:

[0008] Functional Classification and Data Acquisition Module: Collects electromagnetic interference data of the boundary crossing alarm monitoring area; obtains the impact data of the boundary crossing alarm functional unit on the core performance, calculates the comprehensive impact coefficient, and classifies core and non-core functions; records the energy consumption and anti-interference effect of both under different interference states, and constructs an interference energy consumption and anti-interference database; calculates the proportion of non-core functions, classifies adjustable / limited adjustment space non-core functions, and counts the total adjustable energy consumption.

[0009] Interference adaptation initial power allocation module: calculates the correlation coefficient between the anti-interference power consumption of the core function and the interference intensity, and establishes a linear correlation between strong and weak interference; divides the interference intensity range, determines the basic anti-interference power consumption, and calculates the initial allocated power consumption of the core function in combination with real-time interference parameters; and adjusts the non-core function to calculate the total allocated power consumption according to the real-time segmentation coefficient, and then allocates the power consumption of each function according to the energy consumption ratio.

[0010] Energy consumption calibration and rule generation module: Calculates the current initial total power consumption and compares it with the total energy consumption limit. If the limit is not reached, the core function is given additional energy based on the ratio of the initial power consumption of a single core function to the initial total power consumption of all core functions. If the limit is exceeded, the power consumption of the core function is compressed according to this ratio. Finally, the power consumption gradient allocation rule is constructed.

[0011] The preferred process for dividing core and non-core functions is as follows:

[0012] Interference sensing components are deployed in the boundary crossing alarm monitoring area of ​​the substation construction site to continuously collect electromagnetic interference data in the area, including: interference intensity, interference frequency band and interference change rate;

[0013] For each functional unit of the boundary crossing alarm, the alarm trigger accuracy and signal transmission stability of its operation within a set statistical period are obtained, and a comprehensive analysis is performed to obtain the comprehensive impact coefficient on the core performance of the boundary crossing alarm.

[0014] If the overall impact coefficient is greater than or equal to the corresponding preset threshold, the functional unit is determined to be a core function; otherwise, it is a non-core function.

[0015] Preferably, the specific process for constructing the interference energy consumption immunity database is as follows:

[0016] Synchronously record the energy consumption data and anti-interference effect data of each core function and each non-core function under different interference states within a set statistical period;

[0017] Different interference states are combinations of different interference intensities, interference frequency bands, and interference change rates.

[0018] Energy consumption data refers to the energy consumption value of each functional unit per unit time.

[0019] The anti-interference performance data includes: the signal transmission bit error rate of the communication function and the positioning deviation value of the positioning function;

[0020] The system stores all recorded data within a set statistical period in a structured format, based on function identifier, interference status parameter, energy consumption value, and anti-interference effect value, forming an interference energy consumption and anti-interference database for the boundary alarm.

[0021] Preferably, the specific process for calculating the proportion of non-core functions, classifying non-core functions with adjustable / limited adjustment space, and calculating the total adjustable energy consumption is as follows:

[0022] For each non-core function, the proportion of the energy consumption value of the non-core function to the total energy consumption of all functional units of the boundary alarm is recorded in the interference energy consumption anti-interference database of the boundary alarm within the set statistical period. This proportion is called the non-core proportion.

[0023] If the proportion of non-core functions is greater than or equal to the corresponding preset threshold, the non-core functions are judged as adjustable non-core functions; otherwise, they are judged as non-core functions with limited adjustment space and are eliminated.

[0024] The total energy consumption of all adjustable non-core functions is recorded as the total adjustable energy consumption.

[0025] Preferably, the specific process for calculating the correlation coefficient between the core function's anti-interference power consumption and the interference intensity, and establishing a linear correlation between strong and weak interference, is as follows:

[0026] For each core function, based on the interference energy consumption anti-interference database of the boundary alarm, the correlation data of anti-interference power consumption and corresponding interference intensity for each unit time under different interference states of the core function are extracted, and the Pearson correlation coefficient between anti-interference power consumption and interference intensity is calculated.

[0027] If the absolute value of the correlation coefficient is greater than or equal to the corresponding preset threshold, it is determined that the core function anti-interference power consumption and interference intensity are strongly linearly correlated; otherwise, it is determined to be weakly linearly correlated.

[0028] Preferably, the specific process for calculating the initial power consumption allocation for core functions is as follows:

[0029] The interference intensity is divided into several continuous and non-overlapping interference intensity intervals, and a corresponding anti-interference success bit error rate threshold and anti-interference success positioning deviation threshold are preset for each interference intensity interval.

[0030] Extract the core function's operating data within each interference intensity range. If the signal transmission bit error rate of the operating data is less than or equal to the anti-interference success bit error rate threshold of the corresponding range, and the positioning deviation value is less than or equal to the anti-interference success positioning deviation threshold of the corresponding range, then the operating status corresponding to the data is determined to be anti-interference success.

[0031] Extract the anti-interference power consumption corresponding to all successful anti-interference data within each interference intensity range, and select the lowest anti-interference power consumption sample within each range.

[0032] Take the maximum statistical value corresponding to all interference intensity ranges as the basic anti-interference power consumption of this core function;

[0033] The real-time interference intensity is divided into real-time interference intensity segments with the same number of interference intensity intervals.

[0034] For each core function, based on real-time interference intensity, real-time interference frequency band, and real-time interference change rate, determine the real-time segment to which the real-time interference intensity belongs and the median value of that segment.

[0035] Based on the preset correspondence table between real-time interference frequency bands, real-time interference change rate and adjustment coefficient, the appropriate adjustment coefficient is obtained.

[0036] If the core function is strongly linearly correlated with the interference intensity, the initial power allocation is calculated based on the linear trend, and the result is not lower than the basic anti-interference power.

[0037] If there is a weak linear correlation, the initial power allocation for the core function is obtained by multiplying the current real-time segmented preset power adjustment ratio with the basic anti-disturbance power consumption.

[0038] Preferably, the specific process of adjusting the total power consumption of non-core functions according to real-time segmentation coefficients and then allocating the power consumption of individual functions according to their energy consumption ratio is as follows:

[0039] Reverse adaptation quantization allocation is performed for all adjustable non-core functions; power allocation coefficients corresponding to each real-time interference intensity segment are preset, and the power allocation coefficients corresponding to each real-time interference intensity segment decrease as the segment interference intensity increases, and all coefficients are greater than 0 and do not exceed 1;

[0040] Calculate the total allocated power consumption of adjustable non-core functions, that is, the total allocated power consumption is the product of the total adjustable power consumption and the allocation coefficient corresponding to the current real-time interference intensity segment;

[0041] The single-function power consumption of an adjustable non-core function is allocated according to the proportion of its historical average power consumption to the total adjustable power consumption. In other words, the allocated power consumption of an adjustable non-core function is the product of the total allocated power consumption of adjustable non-core functions and the proportion of its historical average power consumption to the total adjustable power consumption.

[0042] The preferred process for replenishing the energy consumption of core functions is as follows:

[0043] Calculate the sum of the initial total power consumption allocated to all core functions and the total power consumption allocated to adjustable non-core functions to obtain the current initial total power consumption;

[0044] The maximum total energy consumption of all functional units of the boundary crossing alarm is preset. If the current initial total power consumption is lower than the maximum total energy consumption, energy replenishment is performed.

[0045] First, determine the amount of energy that can be replenished, which is the total energy consumption limit minus the current initial total power consumption; then, for each core function, allocate the corresponding amount of energy replenishment according to the proportion of the initial allocated power consumption of the core function to the initial total allocated power consumption of all core functions; finally, add the initial allocated power consumption of a single core function to the energy replenishment amount of that function to obtain the final allocated power consumption of that core function.

[0046] Preferably, the specific process of compressing the power consumption of core functions and constructing power consumption gradient allocation rules is as follows:

[0047] When the initial total power consumption is not lower than the total energy consumption limit of all functional units of the boundary alarm, energy consumption compression is performed for each core function, specifically as follows:

[0048] Calculate the total energy consumption compression value of the core functions; then, according to the proportion of the initial allocated power consumption of a single core function to the initial total allocated power consumption of all core functions, allocate the compression amount to each core function. The final power consumption of the core function must not be lower than its basic disturbance rejection power.

[0049] If the power consumption of the core function is lower than the basic disturbance rejection power after being compressed proportionally, then it will only be compressed to the basic disturbance rejection power, and the amount of compression that has not been completed will be calculated at the same time.

[0050] Summarize the uncompressed amount, mark the core functions that still have room for compression, allocate the uncompressed amount according to their initial power consumption ratio, repeat compression, verification, and allocation until the uncompressed amount is zero, ensuring that the total power consumption after compression is equal to the total energy consumption limit.

[0051] Based on the real-time interference intensity segmentation standard, combined with the core function power consumption allocation formula, the adjustable non-core function allocation coefficient table, and the energy consumption supplementation logic, a structured power gradient allocation rule covering the entire process of real-time interference adaptation, power consumption allocation, and calibration is formed.

[0052] Compared with the prior art, the beneficial effects of the present invention are:

[0053] (1) The battery energy management system for the boundary crossing alarm in the substation construction site clearly distinguishes and quantifies the core functions and non-core functions, and dynamically allocates power consumption by combining the intensity, frequency band, and rate of change of the real-time electromagnetic interference in the substation construction site, as well as the correlation between the power consumption of the core functions and the intensity of the interference, so as to accurately adapt to the dynamically changing electromagnetic interference on site: it avoids the waste problem of excessive power consumption in the fixed high power consumption mode, and solves the shortcoming of insufficient anti-interference capability in the fixed low power consumption mode under strong interference.

[0054] (2) The battery energy management system for the boundary crossing alarm in the substation construction site defines the basic anti-interference power consumption bottom line of the core function. When compressing energy consumption, the power consumption of the core function is strictly limited to not being lower than the bottom line. At the same time, the core function anti-interference capability is enhanced through the redundant energy consumption supplementation mechanism, and the phenomenon of sacrificing the core performance of alarm trigger accuracy and signal transmission stability in order to reduce energy consumption is eliminated.

[0055] (3) The battery energy management system for the boundary crossing alarm in the substation construction site constructs a structured power consumption gradient allocation rule based on real-time interference segmentation, integrates the core / non-core function differential allocation logic and energy consumption calibration mechanism, replaces the traditional manual adjustment or fixed strategy, realizes rapid response to dynamic interference in the substation construction site, and improves the automation level and long-term stability of energy consumption management. Attached Figure Description

[0056] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Example 1;

[0059] Please see Figure 1 This invention provides a battery energy consumption management system for a boundary crossing alarm in a substation construction site, comprising:

[0060] Functional Classification and Data Acquisition Module: Collects electromagnetic interference data of the boundary crossing alarm monitoring area; obtains the impact data of the boundary crossing alarm functional units on the core performance, calculates the comprehensive impact coefficient, and classifies core and non-core functions; records the energy consumption and anti-interference effect of both under different interference states, and constructs an interference energy consumption and anti-interference database; calculates the proportion of non-core functions, classifies adjustable / adjustable space-limited non-core functions, and counts the total adjustable energy consumption. The specific process is as follows: Among them, adjustable / adjustable space-limited non-core functions are: adjustable non-core functions or adjustable space-limited non-core functions.

[0061] For each functional unit of the boundary crossing alarm, interference sensing components are deployed in the boundary crossing alarm monitoring area of ​​the substation construction site to continuously collect electromagnetic interference data in the area, including: interference intensity, interference frequency band and interference change rate.

[0062] For each functional unit of the boundary crossing alarm, obtain the impact data on the core performance of the boundary crossing alarm during the operation of the functional unit within a set statistical period, including: alarm trigger accuracy At and signal transmission stability St, and use the formula:

[0063]

[0064] in, w1 and w2 are the comprehensive influence coefficients of the functional unit on the core performance of the boundary alarm, and w1+w2=1.

[0065] Preset core function comprehensive impact coefficient judgment threshold ,like If so, then the functional unit is determined to be a core function;

[0066] like If so, the functional unit is determined to be a non-core function;

[0067] Synchronously record the energy consumption data and anti-interference effect data of each core function and each non-core function under different interference states within a set statistical period;

[0068] Different interference states are combinations of different interference intensities, interference frequency bands, and interference change rates.

[0069] Energy consumption data refers to the energy consumption value of each functional unit per unit time.

[0070] The anti-interference performance data includes: the signal transmission bit error rate of the communication function and the positioning deviation value of the positioning function;

[0071] The system stores all recorded data within a set statistical period in a structured format, based on function identifier, interference status parameter, energy consumption value, and anti-interference effect value, forming an interference, energy consumption, and anti-interference database for the boundary alarm.

[0072] For each non-core function, based on the interference energy consumption immunity database of the boundary alarm, the proportion of the energy consumption value Pn of the non-core function to the total energy consumption Pt of all functional units of the boundary alarm within the set statistical period is calculated and denoted as the non-core proportion α, where the non-core proportion α = Pn / Pt; the energy consumption weight of a single non-core function can be quantified through the non-core proportion to determine whether it has energy consumption adjustment space and avoid meaningless adjustment operations.

[0073] A preset ratio threshold Aa is set. If α≥Aa, then the non-core function is determined to be an adjustable non-core function. If α≥Aa, it means that the energy consumption of the non-core function accounts for a sufficiently high weight of the total energy consumption of the boundary alarm. The compression or adjustment of its energy consumption can produce a perceptible optimization effect on the total global energy consumption (for example, a 10% compression can free up more than 2% of the total energy consumption budget for the core function). It has effective adjustment value and is therefore determined to be an adjustable non-core function.

[0074] If α < Aa, then the non-core function is determined to be a non-core function with limited adjustment space and is eliminated.

[0075] The total energy consumption of all adjustable non-core functions is denoted as the total adjustable energy consumption Pnn.

[0076] It should be noted that multi-dimensional data collection provides accurate basis for dynamic adaptation. By collecting data on interference intensity, frequency band, rate of change, energy consumption and anti-interference effect of functional units, the limitation of fixed power consumption in the existing solution is broken, laying a data foundation for subsequent adaptation to dynamic electromagnetic interference.

[0077] The core and non-core functions are quantitatively divided, the priority of energy consumption protection is clarified, and key performance such as alarm triggering and signal transmission are not affected. At the same time, by filtering adjustable non-core functions, meaningless adjustment operations are avoided and energy consumption optimization efficiency is improved.

[0078] Structured databases enable the linkage between data and rules, and store data related to functions, interference, energy consumption, and anti-interference effects. This not only supports the construction of subsequent power consumption allocation formulas but also provides data accumulation for long-term iterative optimization.

[0079] By focusing on high-value adjustment targets and screening out adjustable functions with high energy consumption weights through the proportion of non-core components, we can provide clear objectives for reducing non-core energy consumption and freeing up budgets for core functions, thus helping to achieve the core objectives of interference resistance without failure and energy consumption without redundancy.

[0080] Interference adaptation initial power allocation module: Calculates the correlation coefficient between the anti-interference power consumption of core functions and the interference intensity, establishing a linear correlation between strong and weak interference; divides the interference intensity range, determines the basic anti-interference power consumption, and calculates the initial allocated power consumption of core functions based on real-time interference parameters; adjusts the total allocated power consumption of non-core functions according to real-time segmentation coefficients, and then allocates the power consumption of each function according to its energy consumption ratio. The specific process is as follows:

[0081] For each core function, based on the interference energy consumption immunity database of the boundary crossing alarm, the correlation data between the immunity power consumption Pc and the corresponding interference intensity Ig per unit time under different interference states is extracted. The Pearson correlation coefficient Rc between the immunity power consumption Pc and the interference intensity Ig is calculated using the following formula:

[0082]

[0083] Where n is the number of valid running samples corresponding to this core function in the interference energy consumption immunity database of the boundary alarm;

[0084] Preset correlation coefficient threshold ;like If the interference power consumption of the core function is strongly linearly correlated with the interference intensity, then it is determined that the interference power consumption is strongly linearly correlated with the interference intensity; if If so, it is determined that the anti-interference power consumption of the core function is weakly linearly related to the interference intensity;

[0085] The interference intensity is divided into several continuous and non-overlapping interference intensity intervals according to the distribution range of the interference intensity. Each interval has the same length, and a corresponding anti-interference success bit error rate threshold and anti-interference success positioning deviation threshold are preset for each interference intensity interval.

[0086] Extract the operating data of this core function in each interference intensity range from the interference energy consumption anti-interference database of the boundary crossing alarm. If the signal transmission bit error rate of a certain data is less than or equal to the anti-interference success bit error rate threshold of the corresponding range, and the positioning deviation value is less than or equal to the anti-interference success positioning deviation threshold of the corresponding range, then the operating status corresponding to the data is determined to be anti-interference success.

[0087] Extract the anti-interference power consumption corresponding to all successful anti-interference data within each interference intensity range, and select the lowest anti-interference power consumption sample Pcm for each range;

[0088] The statistical maximum value of Pcm corresponding to all interference intensity ranges is taken as the basic interference immunity power consumption of this core function. ;

[0089] Based on the criteria of equal intervals, continuous non-overlapping intervals, and equal interval lengths, the real-time interference intensity is divided into real-time interference intensity segments with the same number of intervals as the above-mentioned interference intensity segments.

[0090] For each core function, perform the following power allocation steps:

[0091] Input the interference parameters collected in real time: including real-time interference intensity, real-time interference frequency band, and real-time interference change rate;

[0092] Processing real-time interference parameters:

[0093] Based on the real-time interference intensity, determine the real-time interference intensity segment to which it belongs, and extract the interval median Im of the segment;

[0094] A table showing the correspondence between real-time interference frequency bands, real-time interference change rates, and adjustment coefficients k is pre-defined. The table is then consulted based on the real-time interference frequency bands and real-time interference change rates to obtain the adjustment coefficients k that are adapted to the current interference characteristics (different k values ​​correspond to different frequency bands or change rates to adapt to the differences in anti-interference requirements caused by frequency band specificity and interference abrupt changes).

[0095] Combining the linear correlation determination result (strong or weak linear correlation) of this core function with the basic disturbance rejection power consumption ;

[0096] If the correlation is strong linear, a power allocation formula is constructed based on the linear trend:

[0097]

[0098] in, Allocate power consumption initially for core functions. The basic disturbance rejection power is given by k, where k is the adjustment coefficient. This is the midpoint of the current segmented interval. This is the average interference intensity corresponding to this core function in the interference energy consumption immunity database for boundary crossing alarms.

[0099] If the calculation yields Less than Then let If the calculated Greater than or equal to Then keep The result remains unchanged;

[0100] If the correlation is weak, the power adjustment ratios D1, D2, ..., Dm corresponding to each real-time interference intensity segment are preset; where the power adjustment ratios corresponding to each real-time interference intensity segment are all greater than or equal to 1.

[0101] The core function initially allocates power consumption. ;in, The preset adjustment ratio is for the current segment, i = 1, 2, ..., m, where m is the total number of segments;

[0102] For all adjustable non-core functions, perform reverse adaptation quantization allocation:

[0103] The preset power allocation coefficients for each real-time interference intensity segment are as follows: And satisfy ;

[0104] Calculate the total allocated power consumption for adjustable non-core functions. ;in, The allocation coefficients are the segments corresponding to the current real-time interference intensity.

[0105] Allocate single-function power consumption based on the proportion of each adjustable non-core function's power consumption to the total adjustable power consumption: ,in, Allocate power for individual adjustable non-core functions. This is the historical average energy consumption value for this adjustable non-core function.

[0106] It should be noted that the Pearson correlation coefficient is used to distinguish the linear correlation between core functions and interference intensity. Strong correlation is represented by a dynamic formula, while weak correlation is represented by a segmented adjustment ratio to avoid a one-size-fits-all allocation. This prevents interference suppression failure due to fixed low power consumption during high interference and avoids energy consumption redundancy due to fixed high power consumption during low interference, thus adapting to the dynamic interference characteristics of substations.

[0107] The basic anti-interference power consumption is taken as the minimum and maximum power consumption of successful anti-interference in each interference range, ensuring that the core function can successfully resist interference in all interference scenarios, while controlling the basic power consumption to the maximum extent, breaking the limitation of high power consumption in existing solutions for anti-interference.

[0108] By introducing an adjustment coefficient to correlate the interference frequency band with the rate of change, the limitations of relying solely on interference intensity are overcome. This approach can address sudden frequency band changes and varying interference rates caused by mechanical start-ups and shutdowns during substation construction, further improving the real-time performance and accuracy of power consumption allocation.

[0109] Non-core functions are adapted in reverse according to the stronger the interference and the smaller the allocation coefficient, and power consumption is allocated according to the historical energy consumption ratio. This not only avoids non-core functions crowding out core energy consumption, but also ensures that non-core adjustments are systematic and leaves room for flexibility in subsequent total energy consumption calibration.

[0110] The output of core and non-core initial power consumption provides a clear baseline for the supplementation / compression of the energy consumption calibration module, making subsequent total energy consumption management based on data, promoting the entire system to form a coherent closed loop from data acquisition to allocation and calibration, and improving the overall accuracy of energy consumption management.

[0111] Energy consumption calibration and rule generation module: Calculates the current initial total power consumption and compares it with the total energy consumption limit. If the limit is not reached, it supplements the energy consumption of the core function according to the proportion of the initial power consumption of a single core function to the initial total power consumption of all core functions. If the limit is exceeded, it compresses the power consumption of the core function according to this proportion. Finally, it constructs the power consumption gradient allocation rule, the specific process of which is as follows:

[0112] Calculate the initial total allocated power consumption for all core functions. Adjustable total power consumption for non-core functions The sum of these two values ​​yields the current initial total power consumption. ,Right now: ;

[0113] Preset the total energy consumption limit of all functional units of the boundary crossing alarm. ,like (Current total power consumption has not reached the upper limit, and there is energy redundancy that can be used to supplement core functions.) Perform energy replenishment, specifically:

[0114] Replenishable energy consumption ;

[0115] For each core function, based on the core function occupy Proportional allocation of energy replenishment Energy replenishment: ;

[0116] By initially allocating power to a single core function Energy replenishment for this core function Add them together to get the final allocated power consumption of the core functions. ,Right now: ;

[0117] like For each core function, energy consumption compression is performed, specifically as follows:

[0118] Using the formula: The total energy consumption reduction value of the core function is obtained. (That is: the current total power consumption exceeds) (part of)

[0119] Initial power allocation based on individual core functions Accounts for the initial total power consumption of all core functions The proportion will The compression formula for each core function is as follows:

[0120]

[0121] Ultimate core function power consumption And satisfy ; ( This is the basic power consumption for the core function's anti-interference capability, to avoid anti-interference failure after compression.

[0122] If the core functionality is compressed proportionally Then this core function is compressed to only At the same time, the amount of energy consumption reduction for the incomplete core function is calculated;

[0123] The total amount of energy compression that has not been completed for all core functions is obtained by summing up the amount of energy compression that has not been completed.

[0124] Core functions whose actual power consumption after this round of energy consumption reduction is still greater than the corresponding basic anti-disturbance power consumption are marked as core functions that still have room for reduction.

[0125] Based on the proportion of the initial allocated power consumption of each core function that still has room for compression to the total initial allocated power consumption of all core functions that still have room for compression, the total amount of uncompleted compression is allocated to each core function that still has room for compression, thus obtaining a new round of compression amount for each core function that still has room for compression.

[0126] Repeat the above steps: calculate the power consumption after the new round of compression → check if it is lower than the corresponding basic disturbance rejection power consumption → calculate the amount of uncompressed power → sum the total amount of uncompressed power → mark the core functions with compression space → allocate the total amount of uncompressed power proportionally until the total amount of uncompressed power is reduced to zero, ultimately ensuring that the total power consumption after compression is within acceptable limits. ;

[0127] Based on the real-time interference intensity segmentation standard, and combined with the core function power consumption allocation formula, the adjustable non-core function allocation coefficient table, and the energy consumption supplementation logic, a structured power consumption gradient allocation rule covering the entire process of real-time interference intensity adaptation, core function power consumption allocation, adjustable non-core function power consumption allocation, and energy consumption calibration is formed.

[0128] It should be noted that by calculating the difference between the initial total power consumption and the upper limit of total energy consumption, "supplementation / compression" is performed as needed. This avoids the waste of energy redundancy when the power consumption is low (the redundancy is used to supplement the core functions to improve the anti-disturbance redundancy) and prevents the battery from being overloaded due to exceeding the upper limit, which meets the long-term battery life requirements of substation alarms.

[0129] During compression, the final power consumption of core functions is strictly limited to be no less than the basic anti-interference power consumption Pb. Furthermore, through the mechanism of "repeated allocation of uncompleted compression amount", it is ensured that even if some core functions reach the anti-interference bottom line first, the total compression target can still be completed through other core functions with compression space, thus completely avoiding the risk of "sacrificing anti-interference for power consumption control".

[0130] Replenishing energy consumption based on the initial power consumption ratio of core functions, rather than distributing it evenly, can prioritize providing redundant energy consumption for core functions with higher anti-interference requirements (which have higher initial power consumption and usually correspond to more critical alarm performance), thereby further enhancing the stability of core performance.

[0131] The key logic, such as the real-time interference intensity segmentation standard and the core function allocation formula, is integrated into a structured power consumption gradient allocation rule. It is not a one-time calculation, but provides a "directly callable standard basis" for subsequent system operation, avoiding repeated derivation for each interference adaptation, greatly improving the efficiency and consistency of energy consumption management, and supporting the long-term stable adaptation of the system in dynamic interference scenarios.

[0132] This module takes the database of the functional classification module and the initial power allocation of the interference adaptation module as input, and outputs the final power consumption after calibration and standardized rules. This not only puts the data and calculation results of the previous modules into practice, but also provides guidance for the subsequent operation of the system. This makes the entire energy management process form a complete closed loop from "data acquisition - allocation - calibration - rule reuse", ensuring that the solution can be implemented and iterated.

[0133] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A battery energy consumption management system for a boundary crossing alarm in a substation construction site, characterized in that: include: Functional Classification and Data Acquisition Module: Collects electromagnetic interference data of the boundary crossing alarm monitoring area; obtains the impact data of the boundary crossing alarm functional unit on the core performance, calculates the comprehensive impact coefficient, and classifies core and non-core functions; records the energy consumption and anti-interference effect of both under different interference states, and constructs an interference energy consumption and anti-interference database; calculates the proportion of non-core functions, classifies adjustable / limited adjustment space non-core functions, and counts the total adjustable energy consumption. The specific process of dividing core and non-core functions is as follows: Interference sensing components are deployed in the boundary crossing alarm monitoring area of ​​the substation construction site to continuously collect electromagnetic interference data in the area, including: interference intensity, interference frequency band and interference change rate; For each functional unit of the boundary crossing alarm, the alarm trigger accuracy and signal transmission stability of its operation within a set statistical period are obtained, and a comprehensive analysis is performed to obtain the comprehensive impact coefficient on the core performance of the boundary crossing alarm. If the comprehensive impact coefficient is greater than or equal to the corresponding preset threshold, the functional unit is determined to be a core function; otherwise, it is a non-core function. Interference adaptation initial power allocation module: calculates the correlation coefficient between the anti-interference power consumption of the core function and the interference intensity, and establishes a linear correlation between strong and weak interference; divides the interference intensity range, determines the basic anti-interference power consumption, and calculates the initial allocated power consumption of the core function in combination with real-time interference parameters; and adjusts the non-core function to calculate the total allocated power consumption according to the real-time segmentation coefficient, and then allocates the power consumption of each function according to the energy consumption ratio. The specific process for calculating the initial power consumption allocation for core functions is as follows: The interference intensity is divided into several continuous and non-overlapping interference intensity intervals, and a corresponding anti-interference success bit error rate threshold and anti-interference success positioning deviation threshold are preset for each interference intensity interval. Extract the core function's operating data within each interference intensity range. If the signal transmission bit error rate of the operating data is less than or equal to the anti-interference success bit error rate threshold of the corresponding range, and the positioning deviation value is less than or equal to the anti-interference success positioning deviation threshold of the corresponding range, then the operating status corresponding to the operating data is determined to be anti-interference success. Extract the anti-interference power consumption corresponding to all successful anti-interference data within each interference intensity range, and select the lowest anti-interference power consumption sample within each range. Take the maximum statistical value corresponding to all interference intensity ranges as the basic anti-interference power consumption of this core function; The real-time interference intensity is divided into real-time interference intensity segments with the same number of interference intensity intervals. For each core function, based on real-time interference intensity, real-time interference frequency band, and real-time interference change rate, determine the real-time segment to which the real-time interference intensity belongs and the median value of that segment. Based on the preset correspondence table between real-time interference frequency bands, real-time interference change rate and adjustment coefficient, the appropriate adjustment coefficient is obtained. If the core function is strongly linearly correlated with the interference intensity, the initial power allocation is calculated based on the linear trend, and the result is not lower than the basic anti-interference power. If there is a weak linear correlation, the initial power allocation power of the core function is obtained by multiplying the current real-time segmented preset power adjustment ratio with the basic anti-disturbance power. Energy consumption calibration and rule generation module: Calculates the current initial total power consumption and compares it with the total energy consumption limit. If the limit is not reached, the core function is given additional energy based on the ratio of the initial power consumption of a single core function to the initial total power consumption of all core functions. If the limit is exceeded, the power consumption of the core function is compressed according to this ratio. Finally, the power consumption gradient allocation rule is constructed.

2. The battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 1, characterized in that: The specific process of constructing the interference energy consumption immunity database is as follows: Synchronously record the energy consumption data and anti-interference effect data of each core function and each non-core function under different interference states within a set statistical period; Different interference states are combinations of different interference intensities, interference frequency bands, and interference change rates. Energy consumption data refers to the energy consumption value of each functional unit per unit time. The anti-interference performance data includes: the signal transmission bit error rate of the communication function and the positioning deviation value of the positioning function; The system stores all recorded data within a set statistical period in a structured format, based on function identifier, interference status parameter, energy consumption value, and anti-interference effect value, forming an interference energy consumption and anti-interference database for boundary crossing alarms.

3. The battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 2, characterized in that: The specific process for calculating the proportion of non-core functions, classifying non-core functions with adjustable / limited adjustment space, and calculating the total adjustable energy consumption is as follows: For each non-core function, the proportion of the energy consumption value of the non-core function to the total energy consumption of all functional units of the boundary alarm is recorded in the interference energy consumption anti-interference database of the boundary alarm within the set statistical period. This proportion is called the non-core proportion. If the proportion of non-core functions is greater than or equal to the corresponding preset threshold, the non-core functions are judged as adjustable non-core functions; otherwise, they are judged as non-core functions with limited adjustment space and are eliminated. The total energy consumption of all adjustable non-core functions is recorded as the total adjustable energy consumption.

4. The battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 3, characterized in that: The specific process for calculating the correlation coefficient between the core function's anti-interference power consumption and the interference intensity, and distinguishing between strong and weak linear correlations, is as follows: For each core function, based on the interference energy consumption anti-interference database of the boundary alarm, the correlation data of anti-interference power consumption and corresponding interference intensity for each unit time under different interference states of the core function are extracted, and the Pearson correlation coefficient between anti-interference power consumption and interference intensity is calculated. If the absolute value of the correlation coefficient is greater than or equal to the corresponding preset threshold, it is determined that the core function anti-interference power consumption and interference intensity are strongly linearly correlated; otherwise, it is determined to be weakly linearly correlated.

5. A battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 4, characterized in that: The specific process for adjusting non-core functions to calculate the total power consumption based on real-time segmentation coefficients, and then allocate the power consumption of each function according to its energy consumption ratio, is as follows: Perform reverse adaptation quantization allocation for all adjustable non-core functions; The power allocation coefficients corresponding to each real-time interference intensity segment are preset, and the power allocation coefficients corresponding to each real-time interference intensity segment decrease as the segment interference intensity increases. All coefficients are greater than 0 and do not exceed 1. Calculate the total allocated power consumption of adjustable non-core functions, that is, the total allocated power consumption is the product of the total adjustable power consumption and the allocation coefficient corresponding to the current real-time interference intensity segment; The single-function power consumption of an adjustable non-core function is allocated according to the proportion of its historical average power consumption to the total adjustable power consumption. In other words, the allocated power consumption of an adjustable non-core function is the product of the total allocated power consumption of adjustable non-core functions and the proportion of its historical average power consumption to the total adjustable power consumption.

6. The battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 5, characterized in that: The specific process of replenishing the core functions with power is as follows: Calculate the sum of the initial total power consumption allocated to all core functions and the total power consumption allocated to adjustable non-core functions to obtain the current initial total power consumption; The maximum total energy consumption of all functional units of the boundary crossing alarm is preset. If the current initial total power consumption is lower than the maximum total energy consumption, energy replenishment is performed. First, determine the amount of energy that can be replenished, which is the total energy consumption limit minus the current initial total power consumption; Then, for each core function, the corresponding energy replenishment amount is allocated according to the proportion of the initial allocated power consumption of the core function to the initial total allocated power consumption of all core functions; finally, the initial allocated power consumption of a single core function is added to the energy replenishment amount of that function to obtain the final allocated power consumption of that core function.

7. A battery energy consumption management system for a boundary crossing alarm in a substation construction site according to claim 6, characterized in that: The specific process of compressing the power consumption of core functions and constructing power consumption gradient allocation rules is as follows: When the initial total power consumption is not lower than the total energy consumption limit of all functional units of the boundary alarm, energy consumption compression is performed for each core function, specifically as follows: Calculate the total energy consumption compression value of the core functions; then, according to the proportion of the initial allocated power consumption of a single core function to the initial total allocated power consumption of all core functions, allocate the compression amount to each core function. The final power consumption of the core function must not be lower than its basic disturbance rejection power. If the power consumption of the core function is lower than the basic disturbance rejection power after being compressed proportionally, then it will only be compressed to the basic disturbance rejection power, and the amount of compression that has not been completed will be calculated at the same time. Summarize the uncompressed amount, mark the core functions that still have room for compression, allocate the uncompressed amount according to their initial power consumption ratio, repeat compression, verification, and allocation until the uncompressed amount is zero, ensuring that the total power consumption after compression is equal to the total energy consumption limit. Based on the real-time interference intensity segmentation standard, combined with the core function power consumption allocation formula, the adjustable non-core function allocation coefficient table, and the energy consumption supplementation logic, a structured power gradient allocation rule covering the entire process of real-time interference adaptation, power consumption allocation, and calibration is formed.

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