CN115576239A - An Intelligent Control System of AC and DC Power Supply Based on Artificial Intelligence - Google Patents

Abstract

The invention belongs to the field of power supply equipment, relates to a data processing technology, and is used for solving the problem that the existing AC/DC power supply intelligent control system cannot analyze the integral running state of an AC/DC power supply by combining the working characteristics of an AC working mode and a DC working mode, in particular to an AC/DC power supply intelligent control system based on artificial intelligence, which comprises an intelligent control platform, wherein the intelligent control platform is in communication connection with a work monitoring module, a continuous analysis module, an overhaul prediction module and a storage module; the working monitoring module is used for monitoring and analyzing the working state of the alternating current/direct current power supply, and judging whether the working state of an analysis object meets the requirement or not according to the numerical values of the pressure gauge coefficient YB and the fluctuation coefficient BD; the invention can monitor and analyze the working state of the AC/DC power supply, and adopts different data acquisition modes by combining the working characteristics under different modes, thereby ensuring that the working state of the AC/DC power supply is effectively monitored.

Description

Translated fromChinese

一种基于人工智能的交直流电源智能控制系统An Intelligent Control System of AC and DC Power Supply Based on Artificial Intelligence

技术领域technical field

本发明属于电源设备领域，涉及数据处理技术，具体是一种基于人工智能的交直流电源智能控制系统。The invention belongs to the field of power supply equipment and relates to data processing technology, in particular to an intelligent control system for AC and DC power supplies based on artificial intelligence.

背景技术Background technique

交直流电源是一种将直流电通过逆变器逆变为交流电的一种装置，同时具备交流电和直流电输出，交直流电源有交流电输出和直流电输出两种功能，采用环保的锂离子电芯，体积小、容量大。有不同的输出功率和不同的容量。The AC and DC power supply is a device that converts DC power into AC power through an inverter. It has both AC and DC output. The AC and DC power supply has two functions: AC output and DC output. It uses environmentally friendly lithium-ion batteries. Small and large capacity. There are different output powers and different capacities.

现有的交直流电源智能控制系统无法结合交流工作模式与直流工作模式的工作特性对交直流电源的整体运行状态进行分析，导致交直流电源的运行状态无法得到有效监管，同时也无法根据历史使用数据为交直流电源提供稳定运行环境，导致交直流电源的老化速度较快。The existing intelligent control system of AC and DC power supply cannot analyze the overall operating status of the AC and DC power supply in combination with the working characteristics of the AC and DC operating modes, resulting in the inability to effectively supervise the operating status of the AC and DC power supply, and at the same time, it cannot be used according to the history Data provides a stable operating environment for AC and DC power supplies, resulting in a faster aging rate for AC and DC power supplies.

针对上述技术问题，本申请提出了一种解决方案。Aiming at the above technical problems, the present application proposes a solution.

发明内容Contents of the invention

本发明的目的在于提供一种基于人工智能的交直流电源智能控制系统，用于解决现有的交直流电源智能控制系统无法结合交流工作模式与直流工作模式的工作特性对交直流电源的整体运行状态进行分析的问题；The purpose of the present invention is to provide an intelligent control system for AC and DC power supplies based on artificial intelligence, which is used to solve the problem that the existing AC and DC power supply intelligent control systems cannot combine the working characteristics of the AC and DC working modes for the overall operation of the AC and DC power supply The problem of state analysis;

本发明需要解决的技术问题为：如何提供一种可以结合交流工作模式与直流工作模式的工作特性对交直流电源的整体运行状态进行分析的交直流电源智能控制系统。The technical problem to be solved in the present invention is: how to provide an AC/DC power supply intelligent control system that can analyze the overall operating state of the AC/DC power supply in combination with the working characteristics of the AC and DC working modes.

本发明的目的可以通过以下技术方案实现：The purpose of the present invention can be achieved through the following technical solutions:

一种基于人工智能的交直流电源智能控制系统，包括智能控制平台，所述智能控制平台通信连接有工作监测模块、连续分析模块、检修预测模块以及存储模块；An artificial intelligence-based AC/DC power supply intelligent control system includes an intelligent control platform, and the intelligent control platform is connected with a work monitoring module, a continuous analysis module, a maintenance prediction module and a storage module through communication;

所述工作监测模块用于对交直流电源的工作状态进行监测分析：将交直流电源标记为分析对象，获取分析对象工作时的压表系数YB与波动系数BD，通过压表系数YB与波动系数BD的数值大小对分析对象的工作状态是否满足要求进行判定；The work monitoring module is used to monitor and analyze the working state of the AC and DC power supply: mark the AC and DC power supply as the analysis object, obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object when it is working, and pass the pressure gauge coefficient YB and fluctuation coefficient The value of BD determines whether the working status of the analysis object meets the requirements;

所述工作监测模块包括直流监测单元与交流监测单元；所述直流监测单元用于在直流工作模式下获取分析对象的压表系数YB与波动系数BD；所述交流监测单元用于在交流工作模式下获取分析对象的压表系数YB与波动系数BDThe work monitoring module includes a DC monitoring unit and an AC monitoring unit; the DC monitoring unit is used to obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object in the DC working mode; the AC monitoring unit is used to obtain the analysis object in the AC working mode Obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object

所述连续分析模块对交直流电源的连续工作状态进行监控分析：通过存储模块获取到分析对象的历史压表系数、历史波动系数以及历史连续工作数据，将历史压表系数与历史连续工作数据输入压时分析模型并通过压时分析模型输出压时范围(YS1，YS2)；将历史波动系数与历史连续工作数据输入波时分析模型并通过波时分析模型输出波时范围(BS1，BS2)；将YS1、YS2、BS1以及BS2进行比较并通过比较结果得到标时范围，将标时范围通过智能控制平台发送至管理人员的手机终端；The continuous analysis module monitors and analyzes the continuous working state of the AC and DC power supply: the historical pressure gauge coefficient, historical fluctuation coefficient and historical continuous working data of the analysis object are obtained through the storage module, and the historical pressure gauge coefficient and historical continuous working data are input The pressure-time analysis model and output the pressure-time range (YS1, YS2) through the pressure-time analysis model; input the historical fluctuation coefficient and historical continuous working data into the wave-time analysis model and output the wave-time range (BS1, BS2) through the wave-time analysis model; Compare YS1, YS2, BS1 and BS2 and obtain the time stamping range through the comparison results, and send the time stamping range to the mobile terminal of the management personnel through the intelligent control platform;

检修预测模块用于对交直流电源进行检修预测分析并通过预测分析结果对分析对象是否需要进行检修进行判定。The maintenance prediction module is used to carry out maintenance prediction analysis on the AC and DC power supply, and judge whether the analysis object needs to be repaired or not based on the prediction analysis results.

作为本发明的一种优选实施方式，对分析对象的工作状态是否满足要求进行判定的具体过程包括：通过存储模块获取到压表阈值YBmin与波动阈值BDmax，将分析对象的压表系数YB、波动系数BD分别与压表阈值YBmin、波动阈值BDmax进行比较：若压表系数YB大于压表阈值YBmin且波动系数BD小于等于波动阈值BDmax，则判定分析对象的工作状态满足要求，获取分析对象的连续工作时长并标记为连续工作数据LG，工作监测模块将分析对象的压表系数YB、波动系数BD以及连续工作数据LG发送至智能控制平台，智能控制平台接收到压表系数YB、波动系数BD以及连续工作数据LG后将压表系数YB、波动系数BD以及连续工作数据LG发送至存储模块；否则，判定分析对象的工作状态不满足要求，工作监测模块向智能控制平台发送工作异常信号。As a preferred embodiment of the present invention, the specific process of judging whether the working state of the analysis object meets the requirements includes: obtaining the pressure gauge threshold YBmin and the fluctuation threshold BDmax through the storage module, and calculating the pressure gauge coefficient YB and fluctuation threshold of the analysis object The coefficient BD is compared with the pressure gauge threshold YBmin and the fluctuation threshold BDmax respectively: if the pressure gauge coefficient YB is greater than the pressure gauge threshold YBmin and the fluctuation coefficient BD is less than or equal to the fluctuation threshold BDmax, it is determined that the working state of the analysis object meets the requirements, and the continuous The working time is marked as continuous working data LG, and the working monitoring module sends the pressure gauge coefficient YB, fluctuation coefficient BD and continuous working data LG of the analysis object to the intelligent control platform, and the intelligent control platform receives the pressure gauge coefficient YB, fluctuation coefficient BD and After the continuous working data LG, the pressure gauge coefficient YB, fluctuation coefficient BD and continuous working data LG are sent to the storage module; otherwise, it is determined that the working state of the analyzed object does not meet the requirements, and the working monitoring module sends a working abnormal signal to the intelligent control platform.

作为本发明的一种优选实施方式，直流监测单元在直流工作模式下获取分析对象的压表系数YB与波动系数BD的具体过程包括：在监测对象工作时的工作时长分割为若干个分析时段，获取分析时段内分析对象的输出电压值的平均值并标记为分析时段的压表值，对所有分析时段的压表值进行求和取平均值得到压表系数YB，将分析时段的压表值建立压表集合，对压表集合进行方差计算得到波动系数BD。As a preferred embodiment of the present invention, the specific process for the DC monitoring unit to obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object in the DC working mode includes: the working time when the monitoring object is working is divided into several analysis periods, Obtain the average value of the output voltage value of the analysis object within the analysis period and mark it as the pressure gauge value of the analysis period, sum the pressure gauge values of all the analysis periods and get the average value to obtain the pressure gauge coefficient YB, and convert the pressure gauge value of the analysis period Establish a set of pressure gauges, and calculate the variance of the pressure gauge set to obtain the fluctuation coefficient BD.

作为本发明的一种优选实施方式，交流监测单元在交流工作模式下获取分析对象的压表系数YB与波动系数BD的具体过程包括：获取分析对象工作周期内的输出电压最大值与最小值并分别标记为SCd与SCx，通过公式YZ＝(|SCd|+|SCx|)/2得到工作周期的压表值，对所有工作周期的压表值进行求和取平均值得到压表系数YB，将所有工作周期的压表值建立压表集合，对压表集合进行方差计算得到波动系数BD。As a preferred embodiment of the present invention, the specific process for the AC monitoring unit to obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object in the AC working mode includes: obtaining the maximum value and minimum value of the output voltage within the working cycle of the analysis object and Marked as SCd and SCx respectively, the pressure gauge value of the working cycle is obtained by the formula YZ=(|SCd|+|SCx|)/2, and the pressure gauge values of all working cycles are summed and averaged to obtain the pressure gauge coefficient YB, The pressure gauge values of all working cycles are used to establish a pressure gauge set, and the variance of the pressure gauge set is calculated to obtain the fluctuation coefficient BD.

作为本发明的一种优选实施方式，压时分析模型输出压时范围(YS1，YS2)的具体过程包括：以连续工作数据为X轴、历史压表系数为Y轴建立直角坐标系A，在直角坐标系A中通过历史压表系数、历史连续工作数据标出若干个压表点，在直角坐标系A的第一象限中作出一条与X轴相平行的压表射线，压表射线的端点坐标为(0，YBb)，YBb为压表标准值，YBb的取值由公式YBb＝t1*YBmin获取，其中t1为比例系数，且1.05≤t1≤1.15；将纵坐标数值最大的压表点标记为压峰点，将压峰点与X轴的垂线标记为压移射线YY1与YY2，压移射线YY1与YY2在初始位置重合，将压移射线YY1向左侧横移，将压移射线YY2向右侧横移，将压移射线YY1与YY2之间的区域标记为压移区间，当压移区间内存在位于压表射线下侧的压表点时，压移射线YY1与YY2停止横移，将压移射线YY1右侧直线距离最短的压表点标记为第一标记点，将压移射线YY2左侧直线距离最短的压表点标记为第二标记点，将第一标记点与第二标记点的横坐标值分别标记为YS1与YS2，由YS1与YS2构成压时范围。As a preferred embodiment of the present invention, the specific process of outputting the pressure-time range (YS1, YS2) of the pressure-time analysis model includes: establishing a rectangular coordinate system A with continuous work data as the X-axis and historical pressure gauge coefficients as the Y-axis. In the Cartesian coordinate system A, several pressure gauge points are marked by historical pressure gauge coefficients and historical continuous work data, and a pressure gauge ray parallel to the X-axis is drawn in the first quadrant of the Cartesian coordinate system A, and the end point of the pressure gauge ray is The coordinates are (0, YBb), YBb is the standard value of the pressure gauge, and the value of YBb is obtained by the formula YBb=t1*YBmin, where t1 is the proportional coefficient, and 1.05≤t1≤1.15; the pressure gauge point with the largest ordinate value Mark it as the pressure peak point, and mark the vertical line between the pressure peak point and the X-axis as pressure displacement rays YY1 and YY2. The ray YY2 traverses to the right, and the area between the pressure displacement rays YY1 and YY2 is marked as the pressure displacement interval. When there is a pressure gauge point located on the lower side of the pressure gauge ray in the pressure displacement interval, the pressure displacement rays YY1 and YY2 stop Transverse, mark the pressure gauge point with the shortest straight line distance on the right side of the pressure shift ray YY1 as the first mark point, mark the pressure gauge point with the shortest straight line distance on the left side of the pressure shift line YY2 as the second mark point, and mark the first mark point The abscissa values of the second marking point and the second marking point are marked as YS1 and YS2 respectively, and YS1 and YS2 form a pressure time range.

作为本发明的一种优选实施方式，波时分析模型输出波时范围(BS1，BS2)的具体过程包括：以连续工作数据为X轴、历史波动系数为Y轴建立直角坐标系B，在直角坐标系B中通过历史波动系数、历史连续工作数据标出若干个波动点，在直角坐标系B的第一象限中作出一条与X轴相平行的波动射线，波动射线的端点坐标为(0，BDb)，BDb为波动标准值，BDb的取值由公式BDb＝t2*BDmax获取，其中t2为比例系数，且0.85≤t2≤0.95；将纵坐标数值最小的波动点标记为波峰点，将波峰点与X轴的垂线标记为波移线段BY1与BY2，波移线段BY1与BY2在初始位置重合，将波移线段BY1向左侧横移，将波移线段BY2向右侧横移，将波移线段BY1与BY2之间的区域标记为波移区间，当波移区间内存在位于波动射线上侧的波动点时，波移线段BY1与BY2停止横移，将波移线段BY1右侧直线距离最短的波动点标记为第一标记点，将波移线段BY2左侧直线距离最短的波动点标记为第二标记点，将第一标记点与第二标记点的横坐标值分别标记为BS1与BS2，由BS1与BS2构成波时范围。As a preferred embodiment of the present invention, the specific process of the output wave time range (BS1, BS2) of the wave time analysis model includes: taking the continuous work data as the X axis and the historical fluctuation coefficient as the Y axis to establish a Cartesian coordinate system B. In the coordinate system B, several fluctuation points are marked by historical fluctuation coefficients and historical continuous work data, and a fluctuation ray parallel to the X-axis is drawn in the first quadrant of the rectangular coordinate system B. The coordinates of the endpoint of the fluctuation ray are (0, BDb), BDb is the fluctuation standard value, and the value of BDb is obtained by the formula BDb=t2*BDmax, wherein t2 is a proportional coefficient, and 0.85≤t2≤0.95; the fluctuation point with the smallest ordinate value is marked as the peak point, and the peak The vertical line between the point and the X-axis is marked as wave shifting line segment BY1 and BY2. The wave shifting line segment BY1 and BY2 coincide at the initial position. Move the wave shifting line segment BY1 to the left side, and move the wave shifting line segment BY2 to the right side. The area between the wave-shifting line segments BY1 and BY2 is marked as the wave-shifting interval. When there is a fluctuation point located on the upper side of the wave-shifting ray in the wave-shifting interval, the wave-shifting line segments BY1 and BY2 stop moving laterally, and the wave-shifting line segment BY1 is straight on the right. Mark the fluctuating point with the shortest distance as the first marking point, mark the fluctuating point with the shortest straight line distance on the left side of the wave shift line segment BY2 as the second marking point, and mark the abscissa values of the first marking point and the second marking point as BS1 With BS2, BS1 and BS2 form a wave-time range.

作为本发明的一种优选实施方式，标时范围的获取过程包括：将YS1、YS2、BS1以及BS2进行比较：As a preferred embodiment of the present invention, the acquisition process of the time scale includes: comparing YS1, YS2, BS1 and BS2:

若YS1≤BS1≤BS2≤YS2，则由BS1与BS2构成标时范围；If YS1≤BS1≤BS2≤YS2, then BS1 and BS2 constitute the time scale;

若BS1≤YS1≤YS2≤BS2，则由YS1与YS2构成标时范围；If BS1≤YS1≤YS2≤BS2, then YS1 and YS2 constitute the time scale;

若YS1≤BS1≤YS2≤BS2，则由BS1与YS2构成标时范围；If YS1≤BS1≤YS2≤BS2, then BS1 and YS2 constitute the time scale;

若BS1≤YS1≤BS2≤YS2，则由YS1与BS2构成标时范围；If BS1≤YS1≤BS2≤YS2, then YS1 and BS2 constitute the time scale;

若BS1≤BS2≤YS1≤YS2，则由BS2与YS1构成标时范围；If BS1≤BS2≤YS1≤YS2, then BS2 and YS1 constitute the time scale;

若YS1≤YS2≤BS1≤BS2，则由YS2与BS1构成标时范围。If YS1≤YS2≤BS1≤BS2, then YS2 and BS1 constitute the time scale.

作为本发明的一种优选实施方式，检修预测模块对交直流电源进行检修预测分析的具体过程包括：获取分析对象的压时范围与波时范围，通过对YS1、YS2、BS1以及BS2进行数值计算得到分析对象的检修系数JX；通过存储模块获取到检修阈值JXmin，将检修系数JX与检修阈值JXmin进行比较：若检修系数JX≤检修阈值JXmin，则判定分析对象需要进行检修，检修预测模块向智能控制平台发送检修信号；若检修系数JX大于检修阈值JXmin，则判定分析对象不需要进行检修。As a preferred embodiment of the present invention, the specific process of the maintenance prediction module for the maintenance prediction analysis of the AC and DC power supply includes: obtaining the pressure-time range and wave-time range of the analysis object, and performing numerical calculations on YS1, YS2, BS1 and BS2 Obtain the maintenance coefficient JX of the analysis object; obtain the maintenance threshold JXmin through the storage module, compare the maintenance coefficient JX with the maintenance threshold JXmin: if the maintenance coefficient JX ≤ the maintenance threshold JXmin, it is determined that the analysis object needs to be repaired, and the maintenance prediction module sends an intelligent The control platform sends a maintenance signal; if the maintenance coefficient JX is greater than the maintenance threshold JXmin, it is determined that the analysis object does not need maintenance.

本发明具备下述有益效果：The present invention has following beneficial effect:

1、通过工作监测模块可以对交直流电源的工作状态进行监测分析，通过交流监测单元与直流监测单元可以分别获取交直流电源的工作参数，结合不同模式下的工作特性采取不同的数据采集方式，提高交直流电源的状态检测结果精确度，保证对交直流电源的工作状态进行有效监管；1. The working status of the AC and DC power supply can be monitored and analyzed through the work monitoring module. The working parameters of the AC and DC power supply can be obtained through the AC monitoring unit and the DC monitoring unit, and different data acquisition methods are adopted in combination with the working characteristics in different modes. Improve the accuracy of the status detection results of AC and DC power supplies, and ensure effective supervision of the working status of AC and DC power supplies;

2、通过连续分析模块可以对交直流电源的连续工作状态进行监控分析，通过压时分析模型与波时分析模型分别对压时范围与波时范围进行输出，进而对连续工作时长与压表系数与波动系数的影响进行关联分析，最终输出的标时范围用于对下一次交直流电源工作时提供连续工作时长规范引导，进而保证交直流电源的工作状态能够保持在最佳状态；2. Through the continuous analysis module, the continuous working state of the AC and DC power supply can be monitored and analyzed, and the pressure-time range and wave-time range are output through the pressure-time analysis model and wave-time analysis model, and then the continuous working time and pressure gauge coefficient Correlation analysis is carried out with the influence of the fluctuation coefficient, and the final output time scale is used to provide continuous working time specification guidance for the next AC and DC power supply operation, so as to ensure that the working state of the AC and DC power supply can be kept in the best state;

3、通过检修预测模块可以对交直流电源进行检修预测分析，通过动态更新的标时范围对当前交直流电源是否需要检修进行判定，从而在交直流电源的故障发生之前提前进行检测与维修，防止交直流电源出现故障影响其正常运行。3. Through the maintenance prediction module, the maintenance prediction and analysis of the AC and DC power supply can be carried out, and whether the current AC and DC power supply needs to be repaired can be judged through the dynamically updated time scale range, so that the detection and maintenance can be carried out in advance before the failure of the AC and DC power supply occurs, so as to prevent Failure of the AC and DC power supply affects its normal operation.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

图1为本发明整体的系统框图。Fig. 1 is the overall system block diagram of the present invention.

具体实施方式detailed description

下面将结合实施例对本发明的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

如图1所示，一种基于人工智能的交直流电源智能控制系统，包括智能控制平台，智能控制平台通信连接有工作监测模块、连续分析模块、检修预测模块以及存储模块。As shown in Figure 1, an artificial intelligence-based AC/DC power supply intelligent control system includes an intelligent control platform, and the intelligent control platform is connected with a work monitoring module, a continuous analysis module, a maintenance prediction module and a storage module.

工作监测模块用于对交直流电源的工作状态进行监测分析：将交直流电源标记为分析对象，获取分析对象工作时的压表系数YB与波动系数BD，通过存储模块获取到压表阈值YBmin与波动阈值BDmax，将分析对象的压表系数YB、波动系数BD分别与压表阈值YBmin、波动阈值BDmax进行比较：若压表系数YB大于压表阈值YBmin且波动系数BD小于等于波动阈值BDmax，则判定分析对象的工作状态满足要求，获取分析对象的连续工作时长并标记为连续工作数据LG，工作监测模块将分析对象的压表系数YB、波动系数BD以及连续工作数据LG发送至智能控制平台，智能控制平台接收到压表系数YB、波动系数BD以及连续工作数据LG后将压表系数YB、波动系数BD以及连续工作数据LG发送至存储模块；否则，判定分析对象的工作状态不满足要求，工作监测模块向智能控制平台发送工作异常信号；工作监测模块包括直流监测单元与交流监测单元；直流监测单元用于在直流工作模式下获取分析对象的压表系数YB与波动系数BD：在监测对象工作时的工作时长分割为若干个分析时段，获取分析时段内分析对象的输出电压值的平均值并标记为分析时段的压表值，对所有分析时段的压表值进行求和取平均值得到压表系数YB，将分析时段的压表值建立压表集合，对压表集合进行方差计算得到波动系数BD；交流监测单元用于在交流工作模式下获取分析对象的压表系数YB与波动系数BD：获取分析对象工作周期内的输出电压最大值与最小值并分别标记为SCd与SCx，通过公式YZ＝(|SCd|+|SCx|)/2得到工作周期的压表值，对所有工作周期的压表值进行求和取平均值得到压表系数YB，将所有工作周期的压表值建立压表集合，对压表集合进行方差计算得到波动系数BD；对交直流电源的工作状态进行监测分析，通过交流监测单元与直流监测单元可以分别获取交直流电源的工作参数，结合不同模式下的工作特性采取不同的数据采集方式，提高交直流电源的状态检测结果精确度，保证对交直流电源的工作状态进行有效监管。The work monitoring module is used to monitor and analyze the working status of the AC and DC power supply: mark the AC and DC power supply as the analysis object, obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object when it is working, and obtain the pressure gauge threshold YBmin and Fluctuation threshold BDmax, compare the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object with the pressure gauge threshold YBmin and fluctuation threshold BDmax respectively: if the pressure gauge coefficient YB is greater than the pressure gauge threshold YBmin and the fluctuation coefficient BD is less than or equal to the fluctuation threshold BDmax, then Determine that the working status of the analysis object meets the requirements, obtain the continuous working time of the analysis object and mark it as continuous work data LG, and the work monitoring module sends the pressure gauge coefficient YB, fluctuation coefficient BD and continuous work data LG of the analysis object to the intelligent control platform, After receiving the pressure gauge coefficient YB, fluctuation coefficient BD and continuous working data LG, the intelligent control platform sends the pressure gauge coefficient YB, fluctuation coefficient BD and continuous working data LG to the storage module; otherwise, it determines that the working state of the analysis object does not meet the requirements, The work monitoring module sends abnormal work signals to the intelligent control platform; the work monitoring module includes a DC monitoring unit and an AC monitoring unit; the DC monitoring unit is used to obtain the pressure gauge coefficient YB and fluctuation coefficient BD of the analysis object in the DC working mode: in the monitoring object The working time during work is divided into several analysis periods, the average value of the output voltage value of the analysis object in the analysis period is obtained and marked as the pressure gauge value of the analysis period, and the pressure gauge values of all analysis periods are summed and averaged to obtain Pressure gauge coefficient YB, establish a pressure gauge set for the pressure gauge value in the analysis period, and calculate the variance of the pressure gauge set to obtain the fluctuation coefficient BD; the AC monitoring unit is used to obtain the pressure gauge coefficient YB and fluctuation coefficient of the analysis object in the AC working mode BD: Obtain the maximum and minimum values of the output voltage within the working cycle of the analysis object and mark them as SCd and SCx respectively, and obtain the pressure gauge value of the working cycle through the formula YZ=(|SCd|+|SCx|)/2. The pressure gauge values of the period are summed and averaged to obtain the pressure gauge coefficient YB, and the pressure gauge values of all working cycles are established as a pressure gauge set, and the variance of the pressure gauge set is calculated to obtain the fluctuation coefficient BD; the working status of the AC and DC power supply is calculated Monitoring and analysis, through the AC monitoring unit and the DC monitoring unit, the working parameters of the AC and DC power supply can be obtained respectively, and different data acquisition methods are adopted in combination with the working characteristics in different modes to improve the accuracy of the status detection results of the AC and DC power supply and ensure the accuracy of the AC and DC power supply. The working state of the power supply is effectively supervised.

连续分析模块对交直流电源的连续工作状态进行监控分析：通过存储模块获取到分析对象的历史压表系数、历史波动系数以及历史连续工作数据，将历史压表系数与历史连续工作数据输入压时分析模型并通过压时分析模型输出压时范围(YS1，YS2)：以连续工作数据为X轴、历史压表系数为Y轴建立直角坐标系A，在直角坐标系A中通过历史压表系数、历史连续工作数据标出若干个压表点，在直角坐标系A的第一象限中作出一条与X轴相平行的压表射线，压表射线的端点坐标为(0，YBb)，YBb为压表标准值，YBb的取值由公式YBb＝t1*YBmin获取，其中t1为比例系数，且1.05≤t1≤1.15；将纵坐标数值最大的压表点标记为压峰点，将压峰点与X轴的垂线标记为压移射线YY1与YY2，压移射线YY1与YY2在初始位置重合，将压移射线YY1向左侧横移，将压移射线YY2向右侧横移，将压移射线YY1与YY2之间的区域标记为压移区间，当压移区间内存在位于压表射线下侧的压表点时，压移射线YY1与YY2停止横移，将压移射线YY1右侧直线距离最短的压表点标记为第一标记点，将压移射线YY2左侧直线距离最短的压表点标记为第二标记点，将第一标记点与第二标记点的横坐标值分别标记为YS1与YS2，由YS1与YS2构成压时范围；将历史波动系数与历史连续工作数据输入波时分析模型并通过波时分析模型输出波时范围(BS1，BS2)：以连续工作数据为X轴、历史波动系数为Y轴建立直角坐标系B，在直角坐标系B中通过历史波动系数、历史连续工作数据标出若干个波动点，在直角坐标系B的第一象限中作出一条与X轴相平行的波动射线，波动射线的端点坐标为(0，BDb)，BDb为波动标准值，BDb的取值由公式BDb＝t2*BDmax获取，其中t2为比例系数，且0.85≤t2≤0.95；将纵坐标数值最小的波动点标记为波峰点，将波峰点与X轴的垂线标记为波移线段BY1与BY2，波移线段BY1与BY2在初始位置重合，将波移线段BY1向左侧横移，将波移线段BY2向右侧横移，将波移线段BY1与BY2之间的区域标记为波移区间，当波移区间内存在位于波动射线上侧的波动点时，波移线段BY1与BY2停止横移，将波移线段BY1右侧直线距离最短的波动点标记为第一标记点，将波移线段BY2左侧直线距离最短的波动点标记为第二标记点，将第一标记点与第二标记点的横坐标值分别标记为BS1与BS2，由BS1与BS2构成波时范围；The continuous analysis module monitors and analyzes the continuous working state of the AC and DC power supply: the historical pressure gauge coefficient, historical fluctuation coefficient and historical continuous working data of the analysis object are obtained through the storage module, and the historical pressure gauge coefficient and historical continuous working data are input into the pressure time Analyze the model and output the pressure time range (YS1, YS2) through the pressure time analysis model: establish a rectangular coordinate system A with the continuous working data as the X axis and the historical pressure gauge coefficient as the Y axis, and pass the historical pressure gauge coefficient in the rectangular coordinate system A 1. Mark several pressure gauge points on the historical continuous work data, draw a pressure gauge ray parallel to the X axis in the first quadrant of the Cartesian coordinate system A, the end point coordinates of the pressure gauge ray are (0, YBb), and YBb is The standard value of the pressure gauge, the value of YBb is obtained by the formula YBb=t1*YBmin, where t1 is the proportional coefficient, and 1.05≤t1≤1.15; the pressure gauge point with the largest ordinate value is marked as the peak pressure point, and the peak pressure point The vertical line to the X-axis is marked as the compression rays YY1 and YY2. The compression rays YY1 and YY2 coincide at the initial position, and the compression ray YY1 is moved to the left, and the compression ray YY2 is moved to the right. The area between the shifting lines YY1 and YY2 is marked as the pressure shifting interval. When there is a pressure gauge point located below the pressure gauge ray in the pressure shifting interval, the pressure shifting rays YY1 and YY2 stop moving laterally, and the pressure shifting line YY1 is moved to the right side. Mark the pressure gauge point with the shortest straight line distance as the first mark point, mark the pressure gauge point with the shortest straight line distance on the left side of the pressure shift ray YY2 as the second mark point, and set the abscissa values of the first mark point and the second mark point respectively Marked as YS1 and YS2, YS1 and YS2 constitute the pressure-time range; input the historical fluctuation coefficient and historical continuous working data into the wave-time analysis model and output the wave-time range (BS1, BS2) through the wave-time analysis model: take the continuous working data as The X-axis and the historical fluctuation coefficient are used to establish a rectangular coordinate system B for the Y-axis. In the rectangular coordinate system B, several fluctuation points are marked through the historical fluctuation coefficient and historical continuous work data, and a line is drawn in the first quadrant of the rectangular coordinate system B. The X-axis is parallel to the fluctuation ray, the coordinates of the end point of the fluctuation ray are (0, BDb), BDb is the fluctuation standard value, the value of BDb is obtained by the formula BDb=t2*BDmax, where t2 is the proportional coefficient, and 0.85≤t2≤ 0.95; mark the fluctuation point with the smallest ordinate value as the peak point, mark the vertical line between the peak point and the X axis as the wave shifting line segment BY1 and BY2, and the wave shifting line segment BY1 and BY2 coincide at the initial position, and the wave shifting line segment BY1 Move horizontally to the left, move the wave shift line segment BY2 to the right side, and mark the area between the wave shift line segments BY1 and BY2 as the wave shift interval. Line-shifting segments BY1 and BY2 stop moving laterally, mark the fluctuation point with the shortest straight-line distance on the right side of wave-shifting line segment BY1 as the first mark point, and mark the fluctuation point with the shortest straight-line distance on the left side of wave-shifting line segment BY2 as the second mark point. The abscissa values of the first mark point and the second mark point are marked as BS1 and BS2 respectively, and are determined by BS 1 and BS2 form a wave-time range;

将YS1、YS2、BS1以及BS2进行比较：Compare YS1, YS2, BS1 and BS2:

若YS1≤BS1≤BS2≤YS2，则由BS1与BS2构成标时范围；If YS1≤BS1≤BS2≤YS2, then BS1 and BS2 constitute the time scale;

若BS1≤YS1≤YS2≤BS2，则由YS1与YS2构成标时范围；If BS1≤YS1≤YS2≤BS2, then YS1 and YS2 constitute the time scale;

若YS1≤BS1≤YS2≤BS2，则由BS1与YS2构成标时范围；If YS1≤BS1≤YS2≤BS2, then BS1 and YS2 constitute the time scale;

若BS1≤YS1≤BS2≤YS2，则由YS1与BS2构成标时范围；If BS1≤YS1≤BS2≤YS2, then YS1 and BS2 constitute the time scale;

若BS1≤BS2≤YS1≤YS2，则由BS2与YS1构成标时范围；If BS1≤BS2≤YS1≤YS2, then BS2 and YS1 constitute the time scale;

若YS1≤YS2≤BS1≤BS2，则由YS2与BS1构成标时范围；If YS1≤YS2≤BS1≤BS2, then YS2 and BS1 constitute the time scale;

将标时范围发送至智能控制平台，智能控制平台接收到标时范围后将标时范围发送至管理人员的手机终端；对交直流电源的连续工作状态进行监控分析，通过压时分析模型与波时分析模型分别对压时范围与波时范围进行输出，进而对连续工作时长与压表系数与波动系数的影响进行关联分析，最终输出的标时范围用于对下一次交直流电源工作时提供连续工作时长规范引导，进而保证交直流电源的工作状态能够保持在最佳状态。Send the time-marking range to the intelligent control platform, and the intelligent control platform will send the time-marking range to the mobile phone terminal of the manager after receiving the time-marking range; monitor and analyze the continuous working status of the AC and DC power supply, and use the voltage-time analysis model and wave The time analysis model outputs the pressure time range and wave time range respectively, and then conducts correlation analysis on the influence of the continuous working time and the pressure gauge coefficient and fluctuation coefficient. The continuous working hours are standardized and guided to ensure that the working state of the AC and DC power supply can be kept in the best state.

检修预测模块用于对交直流电源进行检修预测分析：获取分析对象的压时范围与波时范围，通过公式JX＝α1*(YS2-YS1)+α2*(BS2-BS1)得到分析对象的检修系数JX，其中α1与α2均为比例系数，且α1＞α2＞1；通过存储模块获取到检修阈值JXmin，将检修系数JX与检修阈值JXmin进行比较：若检修系数JX≤检修阈值JXmin，则判定分析对象需要进行检修，检修预测模块向智能控制平台发送检修信号；若检修系数JX大于检修阈值JXmin，则判定分析对象不需要进行检修；对交直流电源进行检修预测分析，通过动态更新的标时范围对当前交直流电源是否需要检修进行判定，从而在交直流电源的故障发生之前提前进行检测与维修，防止交直流电源出现故障影响其正常运行。The maintenance prediction module is used for maintenance prediction and analysis of AC and DC power supplies: obtain the pressure-time range and wave-time range of the analysis object, and obtain the maintenance of the analysis object through the formula JX=α1*(YS2-YS1)+α2*(BS2-BS1) Coefficient JX, where α1 and α2 are proportional coefficients, and α1>α2>1; the maintenance threshold JXmin is obtained through the storage module, and the maintenance coefficient JX is compared with the maintenance threshold JXmin: if the maintenance coefficient JX ≤ the maintenance threshold JXmin, then the judgment The analysis object needs to be repaired, and the maintenance prediction module sends a maintenance signal to the intelligent control platform; if the maintenance coefficient JX is greater than the maintenance threshold JXmin, it is determined that the analysis object does not need to be repaired; the maintenance prediction analysis of the AC and DC power supply, through the dynamically updated time The scope determines whether the current AC and DC power supply needs to be repaired, so that the detection and maintenance can be carried out in advance before the failure of the AC and DC power supply occurs, and the failure of the AC and DC power supply can prevent its normal operation.

一种基于人工智能的交直流电源智能控制系统，工作时，对交直流电源的工作状态进行监测分析得到压表系数YB与波动系数BD，通过压表系数YB与波动系数BD的数值大小对分析对象的工作状态是否满足要求进行判定，对交直流电源的连续工作状态进行监控分析，通过压时分析模型与波时分析模型分别输出压时范围与波时范围，通过压时范围与波时范围进行数值分析得到标时范围，通过标时范围对后续交直流电源的使用时长进行规范与优化。An intelligent control system for AC and DC power supplies based on artificial intelligence. When working, it monitors and analyzes the working status of the AC and DC power supply to obtain the pressure gauge coefficient YB and fluctuation coefficient BD, and analyzes the values of the pressure gauge coefficient YB and fluctuation coefficient BD. Determine whether the working state of the object meets the requirements, monitor and analyze the continuous working state of the AC and DC power supply, output the voltage-time range and wave-time range through the voltage-time analysis model and wave-time analysis model, and output the pressure-time range and wave-time range through the voltage-time range and wave-time range Numerical analysis is carried out to obtain the time-marking range, and the use time of the subsequent AC and DC power supply is standardized and optimized through the time-marking range.

以上内容仅仅是对本发明结构所作的举例和说明，所属本技术领域的技术人员对所描述的具体实施例做各种各样的修改或补充或采用类似的方式替代，只要不偏离发明的结构或者超越本权利要求书所定义的范围，均应属于本发明的保护范围。The above content is only an example and description of the structure of the present invention. Those skilled in the art make various modifications or supplements to the described specific embodiments or replace them in similar ways, as long as they do not deviate from the structure of the invention or Anything beyond the scope defined in the claims shall belong to the protection scope of the present invention.

上述公式均是采集大量数据进行软件模拟得出且选取与真实值接近的一个公式，公式中的系数是由本领域技术人员根据实际情况进行设置；如：公式JX＝α1*(YS2-YS1)+α2*(BS2-BS1)；由本领域技术人员采集多组样本数据并对每一组样本数据设定对应的检修系数；将设定的检修系数和采集的样本数据代入公式，任意两个公式构成二元一次方程组，将计算得到的系数进行筛选并取均值，得到α1以及α2的取值分别为5.68和3.37；The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by those skilled in the art according to the actual situation; such as: formula JX=α1*(YS2-YS1)+ α2*(BS2-BS1); multiple sets of sample data are collected by skilled personnel and the corresponding overhaul coefficient is set for each set of sample data; the set overhaul coefficient and the collected sample data are substituted into the formula, and any two formulas constitute Binary linear equations, filter the calculated coefficients and take the mean value, and obtain the values of α1 and α2 as 5.68 and 3.37 respectively;

系数的大小是为了将各个参数进行量化得到的一个具体的数值，便于后续比较，关于系数的大小，取决于样本数据的多少及本领域技术人员对每一组样本数据初步设定对应的检修系数；只要不影响参数与量化后数值的比例关系即可，如检修系数与YS2和YS1的差值的数值成正比。The size of the coefficient is a specific value obtained by quantifying each parameter, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding maintenance coefficient for each set of sample data by those skilled in the art. ; As long as the proportional relationship between the parameter and the quantized value is not affected, for example, the overhaul coefficient is directly proportional to the value of the difference between YS2 and YS1.

在本说明书的描述中，参考术语“一个实施例”、“示例”、“具体示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。In the description of this specification, descriptions with reference to the terms "one embodiment", "example", "specific example" and the like mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment of the present invention. In an embodiment or example. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

以上公开的本发明优选实施例只是用于帮助阐述本发明。优选实施例并没有详尽叙述所有的细节，也不限制该发明仅为的具体实施方式。显然，根据本说明书的内容，可作很多的修改和变化。本说明书选取并具体描述这些实施例，是为了更好地解释本发明的原理和实际应用，从而使所属技术领域技术人员能很好地理解和利用本发明。本发明仅受权利要求书及其全部范围和等效物的限制。The preferred embodiments of the invention disclosed above are only to help illustrate the invention. The preferred embodiments do not exhaust all details nor limit the invention to only specific embodiments. Obviously, many modifications and variations can be made based on the contents of this specification. This description selects and specifically describes these embodiments in order to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The invention is to be limited only by the claims, along with their full scope and equivalents.

Claims (8)

1. An alternating current-direct current power supply intelligent control system based on artificial intelligence comprises an intelligent control platform, and is characterized in that the intelligent control platform is in communication connection with a work monitoring module, a continuous analysis module, a maintenance prediction module and a storage module;

the work monitoring module is used for monitoring and analyzing the working state of the AC/DC power supply: marking the AC/DC power supply as an analysis object, acquiring a pressure gauge coefficient YB and a fluctuation coefficient BD when the analysis object works, and judging whether the working state of the analysis object meets the requirement or not according to the numerical values of the pressure gauge coefficient YB and the fluctuation coefficient BD;

the work monitoring module comprises a direct current monitoring unit and an alternating current monitoring unit; the direct current monitoring unit is used for acquiring a pressure gauge coefficient YB and a fluctuation coefficient BD of an analysis object in a direct current working mode; the alternating current monitoring unit is used for acquiring a pressure gauge coefficient YB and a fluctuation coefficient BD of an analysis object in an alternating current working mode

The continuous analysis module monitors and analyzes the continuous working state of the AC/DC power supply: obtaining a historical pressure gauge coefficient, a historical fluctuation coefficient and historical continuous working data of an analysis object through a storage module, inputting the historical pressure gauge coefficient and the historical continuous working data into a pressure time analysis model, and outputting a pressure time range (YS 1, YS 2) through the pressure time analysis model; inputting the historical fluctuation coefficient and the historical continuous working data into a wave time analysis model and outputting a wave time range (BS 1, BS 2) through the wave time analysis model; comparing the YS1, the YS2, the BS1 and the BS2, obtaining an on-time range according to a comparison result, and sending the on-time range to a mobile phone terminal of a manager through an intelligent control platform;

and the maintenance prediction module is used for performing maintenance prediction analysis on the alternating current and direct current power supply and judging whether an analysis object needs to be maintained or not according to a prediction analysis result.

2. The system according to claim 1, wherein the specific process of determining whether the working state of the analysis object meets the requirements comprises: obtaining a pressure gauge threshold YBmin and a fluctuation threshold BDmax through a storage module, and comparing a pressure gauge coefficient YB and a fluctuation coefficient BD of an analysis object with the pressure gauge threshold YBmin and the fluctuation threshold BDmax respectively:

if the pressure gauge coefficient YB is greater than the pressure gauge threshold YBmin and the fluctuation coefficient BD is less than or equal to the fluctuation threshold BDmax, judging that the working state of the analysis object meets the requirement, acquiring the continuous working time of the analysis object and marking as continuous working data LG, sending the pressure gauge coefficient YB, the fluctuation coefficient BD and the continuous working data LG of the analysis object to the intelligent control platform by the working monitoring module, and sending the pressure gauge coefficient YB, the fluctuation coefficient BD and the continuous working data LG to the storage module by the intelligent control platform after receiving the pressure gauge coefficient YB, the fluctuation coefficient BD and the continuous working data LG;

otherwise, judging that the working state of the analysis object does not meet the requirement, and sending a working abnormal signal to the intelligent control platform by the working monitoring module.

3. The system of claim 1, wherein the specific process of the dc monitoring unit obtaining the voltage table coefficient YB and the fluctuation coefficient BD of the analysis object in the dc operating mode comprises: the working time of the monitoring object during working is divided into a plurality of analysis time periods, the average value of the output voltage values of the analysis object in the analysis time periods is obtained and marked as the pressure meter value of the analysis time periods, the pressure meter values of all the analysis time periods are summed and averaged to obtain a pressure meter coefficient YB, a pressure meter set is established for the pressure meter values of the analysis time periods, and variance calculation is carried out on the pressure meter set to obtain a fluctuation coefficient BD.

4. The system according to claim 1, wherein the specific process of the ac monitoring unit obtaining the pressure gauge coefficient YB and the fluctuation coefficient BD of the analysis object in the ac operating mode includes: the maximum value and the minimum value of the output voltage in the work period of the analysis object are obtained and are respectively marked as SCd and SCx, the pressure table values of the work period are obtained through a formula YZ = (| SCd | + | SCx |)/2, the pressure table values of all the work periods are summed, the average value is obtained to obtain a pressure table coefficient YB, a pressure table set is established for the pressure table values of all the work periods, and the variance calculation is carried out on the pressure table set to obtain a fluctuation coefficient BD.

5. The system of claim 3, wherein the specific process of outputting the time-pressing range (YS 1, YS 2) by the time-pressing analysis model comprises the following steps: establishing a rectangular coordinate system A by taking the continuous working data as an X axis and the historical pressure table coefficient as a Y axis, marking a plurality of pressure table points in the rectangular coordinate system A through the historical pressure table coefficient and the historical continuous working data, making a pressure table ray parallel to the X axis in a first quadrant of the rectangular coordinate system A, wherein the endpoint coordinate of the pressure table ray is (0, YBb), YBb is a pressure table standard value, and the value of YBb is obtained by a formula YBb = t 1. YBmin, wherein t1 is a proportionality coefficient, and t1 is more than or equal to 1.05 and less than or equal to 1.15; marking the pressure gauge point with the largest vertical coordinate value as a pressure gauge point, marking the pressure gauge point with the largest vertical coordinate value as pressure gauge points, marking the pressure gauge points as pressure shifting rays YY1 and YY2, enabling the pressure shifting rays YY1 and YY2 to coincide at the initial positions, enabling the pressure shifting ray YY1 to transversely move to the left side, enabling the pressure shifting ray YY2 to transversely move to the right side, marking the area between the pressure shifting rays YY1 and YY2 as a pressure shifting interval, when the pressure gauge points positioned on the lower side of the pressure gauge rays exist in the pressure shifting interval, stopping the transverse movement of the pressure shifting rays YY1 and YY2, marking the pressure gauge point with the shortest right side straight line distance of the pressure shifting ray YY1 as a first marking point, marking the pressure gauge point with the shortest left side straight line distance of the pressure shifting ray YY2 as a second marking point, respectively marking the transverse coordinate values of the first marking point and the second marking point as YS1 and YS2, and forming a pressure range by the YS1 and the YS 2.

6. The system according to claim 4, wherein the specific process of outputting the wave time range (BS 1, BS 2) by the wave time analysis model comprises: establishing a rectangular coordinate system B by taking the continuous working data as an X axis and the historical fluctuation coefficient as a Y axis, marking a plurality of fluctuation points in the rectangular coordinate system B through the historical fluctuation coefficient and the historical continuous working data, making a fluctuation ray parallel to the X axis in a first quadrant of the rectangular coordinate system B, wherein the endpoint coordinate of the fluctuation ray is (0, BDb), BDb is a fluctuation standard value, and the value of BDb is obtained by a formula BDb = t2 BDmax, wherein t2 is a proportionality coefficient, and t2 is more than or equal to 0.85 and less than or equal to 0.95; the method comprises the steps of marking a fluctuation point with the smallest ordinate numerical value as a peak point, marking the peak point and a perpendicular line of an X axis as wave shift line sections BY1 and BY2, enabling the wave shift line sections BY1 and BY2 to coincide at initial positions, enabling the wave shift line section BY1 to transversely move to the left side, enabling the wave shift line section BY2 to transversely move to the right side, marking an area between the wave shift line sections BY1 and BY2 as a wave shift interval, when a fluctuation point located on the upper side of a wave ray is stored in the wave shift interval, stopping transverse movement of the wave shift line sections BY1 and BY2, marking the fluctuation point with the shortest straight line distance on the right side of the wave shift line section BY1 as a first marking point, marking the fluctuation point with the shortest straight line distance on the left side of the wave shift line section BY2 as a second marking point, respectively marking the horizontal coordinate values of the first marking point and the second marking point as BS1 and BS2, and forming a range BY the BS1 and the BS 2.

7. The system of claim 1, wherein the time-stamped range is obtained by: YS1, YS2, BS1 and BS2 were compared:

if YS1 is less than or equal to BS1 and less than or equal to BS2 and less than or equal to YS2, the BS1 and the BS2 form an time marking range;

if the YS1 is not less than BS1 and not more than YS2 is not less than BS2, the time marking range is formed by the YS1 and the YS 2;

if YS1 is not less than BS1 and not more than YS2 is not less than BS2, the BS1 and the YS2 form a time-marking range;

if the YS1 is not less than BS1 and not more than BS2 and not more than YS2, the YS1 and the BS2 form an time marking range;

if BS1 is not less than BS2 is not less than YS1 is not less than YS2, the BS2 and the YS1 form an time marking range;

if YS1 is not less than YS2 and not more than BS1 and not more than BS2, the time-marking range is formed by YS2 and BS 1.

8. The system according to claim 1, wherein the inspection and prediction module performs inspection and prediction analysis on the ac/dc power supply in a specific process comprising: acquiring a pressure time range and a wave time range of an analysis object, and obtaining a maintenance coefficient JX of the analysis object by performing numerical calculation on YS1, YS2, BS1 and BS 2; acquiring a maintenance threshold value JXmin through a storage module, and comparing the maintenance coefficient JX with the maintenance threshold value JXmin: if the overhaul coefficient JX is smaller than or equal to an overhaul threshold value JXmin, judging that the analysis object needs to be overhauled, and sending an overhaul signal to the intelligent control platform by an overhaul prediction module; and if the overhaul coefficient JX is larger than the overhaul threshold JXmin, judging that the analysis object does not need to be overhauled.

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