CN115576239A - Alternating current-direct current power supply intelligent control system based on artificial intelligence - Google Patents
Alternating current-direct current power supply intelligent control system based on artificial intelligence Download PDFInfo
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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
Technical Field
The invention belongs to the field of power supply equipment, relates to a data processing technology, and particularly relates to an intelligent control system of an alternating current-direct current power supply based on artificial intelligence.
Background
The alternating current and direct current power supply is a device for inverting direct current into alternating current through an inverter, and has alternating current and direct current output at the same time. With different output powers and different capacities.
The existing intelligent control system for the alternating current/direct current power supply cannot analyze the overall running state of the alternating current/direct current power supply by combining the working characteristics of an alternating current working mode and a direct current working mode, so that the running state of the alternating current/direct current power supply cannot be effectively monitored, and meanwhile, a stable running environment cannot be provided for the alternating current/direct current power supply according to historical use data, so that the aging speed of the alternating current/direct current power supply is high.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide an alternating current-direct current power supply intelligent control system based on artificial intelligence, which is used for solving the problem that the existing alternating current-direct current power supply intelligent control system cannot be used for analyzing the integral running state of an alternating current-direct current power supply by combining the working characteristics of an alternating current working mode and a direct current working mode;
the technical problems to be solved by the invention are as follows: how to provide an alternating current-direct current power supply intelligent control system that can combine the operating characteristic of alternating current mode and direct current mode to carry out the analysis to the whole running state of alternating current-direct current power supply.
The purpose of the invention can be realized by the following technical scheme:
an alternating current-direct current power supply intelligent control system based on artificial intelligence 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 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.
As a preferred embodiment of the present invention, the specific process of determining whether the operating state of the analysis object satisfies the requirement includes: 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.
As a preferred embodiment of the present invention, the specific process of the dc monitoring unit acquiring the pressure gauge coefficient YB and the fluctuation coefficient BD of the analysis object in the dc operating mode includes: 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.
As a preferred embodiment of the present invention, the specific process of the ac monitoring unit acquiring 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.
As a preferred embodiment of the present invention, a specific process of outputting the pressure-time range (YS 1, YS 2) by the pressure-time analysis model includes: 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 perpendicular line of the X axis as pressure shift rays YY1 and YY2, enabling the pressure shift rays YY1 and YY2 to be overlapped at the initial position, enabling the pressure shift ray YY1 to transversely move to the left side, enabling the pressure shift ray YY2 to transversely move to the right side, marking the area between the pressure shift rays YY1 and YY2 as a pressure shift area, when the pressure gauge point positioned on the lower side of the pressure gauge ray exists in the pressure shift area, stopping transverse movement of the pressure shift rays YY1 and YY2, marking the pressure gauge point with the shortest right linear distance of the pressure shift ray YY1 as a first marking point, marking the pressure gauge point with the shortest left linear distance of the pressure shift ray YY2 as a second marking point, respectively marking the horizontal 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 YS 2.
As a preferred embodiment of the invention, the specific process of outputting the wave time range (BS 1, BS 2) by the wave time analysis model comprises the following steps: 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 section, stopping transverse movement of the wave shift line sections BY1 and BY2 when a fluctuation point located on the upper side of a fluctuation ray is stored in the wave shift section, 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 transverse coordinate values of the first marking point and the second marking point as BS1 and BS2, and forming a range BY1 and BS 2.
As a preferred embodiment of the present invention, the process of acquiring the time-stamped range includes: 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 less than or equal to BS1 and less than or equal to YS2 and less than or equal to BS2, forming an time marking range by the BS1 and the YS 2;
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;
and if YS1 is not less than YS2 and not more than BS1 is not less than BS2, forming an time marking range by the YS2 and the BS 1.
As a preferred embodiment of the present invention, a specific process of the overhaul prediction analysis performed by the overhaul prediction module on the ac/dc power supply includes: 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 value JXmin, judging that the analysis object does not need to be overhauled.
The invention has the following beneficial effects:
1. the working state of the alternating current/direct current power supply can be monitored and analyzed through the working monitoring module, working parameters of the alternating current/direct current power supply can be respectively obtained through the alternating current monitoring unit and the direct current monitoring unit, different data acquisition modes are adopted in combination with working characteristics under different modes, the accuracy of a state detection result of the alternating current/direct current power supply is improved, and the working state of the alternating current/direct current power supply is effectively supervised;
2. the continuous working state of the AC/DC power supply can be monitored and analyzed through the continuous analysis module, a voltage time range and a wave time range are respectively output through the voltage time analysis model and the wave time analysis model, the continuous working time length and the influence of a pressure gauge coefficient and a fluctuation coefficient are further subjected to correlation analysis, and the finally output time-marking range is used for providing standard guidance for the continuous working time length during the next AC/DC power supply working, so that the working state of the AC/DC power supply can be kept in an optimal state;
3. the AC/DC power supply can be overhauled, predicted and analyzed through the overhaul prediction module, whether the current AC/DC power supply needs to be overhauled or not is judged through the dynamically updated standard-time range, so that the AC/DC power supply can be detected and maintained in advance before a fault occurs, and the AC/DC power supply is prevented from being broken down to influence the normal operation of the AC/DC power supply.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system block diagram of the present invention as a whole.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in figure 1, an alternating current-direct current power supply intelligent control system based on artificial intelligence comprises an intelligent control platform, wherein 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: the method comprises the following steps of marking an alternating current power supply as an analysis object, obtaining a pressure gauge coefficient YB and a fluctuation coefficient BD when the analysis object works, obtaining a pressure gauge threshold value YBmin and a fluctuation threshold value BDmax through a storage module, and comparing the pressure gauge coefficient YB and the fluctuation coefficient BD of the analysis object with the pressure gauge threshold value YBmin and the fluctuation threshold value 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; 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 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; 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: obtaining the maximum value and the minimum value of output voltage in a work period of an analysis object, respectively marking the maximum value and the minimum value as SCd and SCx, obtaining a pressure table value of the work period through a formula YZ = (| SCd | + | SCx |)/2, summing the pressure table values of all the work periods, taking an average value to obtain a pressure table coefficient YB, establishing a pressure table set of the pressure table values of all the work periods, and carrying out variance calculation on the pressure table set to obtain a fluctuation coefficient BD; the working state of the AC/DC power supply is monitored and analyzed, working parameters of the AC/DC power supply can be acquired through the AC monitoring unit and the DC monitoring unit respectively, different data acquisition modes are adopted by combining working characteristics under different modes, the accuracy of a state detection result of the AC/DC power supply is improved, and the working state of the AC/DC power supply is effectively supervised.
The continuous analysis module monitors and analyzes the continuous working state of the AC/DC power supply: acquiring 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: 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 as pressure gauge points, marking the pressure gauge points as pressure shifting rays YY1 and YY2 with the perpendicular line of the X axis 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 rays YY1 to transversely move to the left side, enabling the pressure shifting rays 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 linear distance of the pressure shifting rays YY1 as a first marking point, marking the pressure gauge point with the shortest left side linear distance of the pressure shifting rays 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 YS1 and YS 2; inputting the historical fluctuation coefficient and 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: 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; marking the fluctuation point with the smallest ordinate numerical value as a peak point, marking the peak point and the perpendicular line of the X axis as a wave shift line sections BY1 and BY2, marking the wave shift line sections BY1 and BY2 to be overlapped at the initial positions, transversely moving the wave shift line section BY1 to the left side, transversely moving the wave shift line section BY2 to the right side, marking the area between the wave shift line sections BY1 and BY2 as a wave shift interval, when the fluctuation point positioned on the upper side of the wave shift ray is stored in the wave shift interval, stopping transversely moving 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 BS1 and BS 2;
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 is not less than BS2, the time marking range is formed by YS2 and BS 1;
the time-marking range is sent to the intelligent control platform, and the intelligent control platform sends the time-marking range to the mobile phone terminal of the manager after receiving the time-marking range; the continuous working state of the AC/DC power supply is monitored and analyzed, the time range and the wave time range are respectively output through the time analysis model and the wave time analysis model, then the continuous working time and the influence of the pressure gauge coefficient and the fluctuation coefficient are subjected to correlation analysis, the final output time calibration range is used for providing the continuous working time standard guidance for the next time of the AC/DC power supply, and the working state of the AC/DC power supply can be kept in the best state.
The overhaul prediction module is used for carrying out overhaul prediction analysis on the AC/DC power supply: obtaining a pressure time range and a wave time range of an analysis object, and obtaining a maintenance coefficient JX of the analysis object through a formula JX = alpha 1 (YS 2-YS 1) + alpha 2 (BS 2-BS 1), wherein alpha 1 and alpha 2 are proportional coefficients, and alpha 1 is more than alpha 2 and more than 1; 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; if the overhaul coefficient JX is larger than the overhaul threshold value JXmin, judging that the analysis object does not need to be overhauled; the AC/DC power supply is subjected to overhaul prediction analysis, and whether the current AC/DC power supply needs to be overhauled or not is judged through the dynamically updated standard-time range, so that the AC/DC power supply is detected and maintained in advance before the fault of the AC/DC power supply occurs, and the AC/DC power supply is prevented from being broken down to influence the normal operation of the AC/DC power supply.
The utility model provides an alternating current-direct current power supply intelligence control system based on artificial intelligence, the during operation, working condition to alternating current-direct current power supply monitors the analysis and obtains voltmeter coefficient YB and fluctuation coefficient BD, whether the numerical value size through voltmeter coefficient YB and fluctuation coefficient BD judges the operating condition of analysis object to satisfy the requirement, carry out monitoring analysis to the continuous operating condition of alternating current-direct current power supply, through when pressing analysis model and time wave time analysis model output respectively when pressing time scope and time wave scope, carry out numerical analysis through when pressing time scope and time wave scope and obtain the time scale scope, standardize and optimize follow-up alternating current-direct current power supply's duration of use through the time scale.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula JX = α 1 (YS 2-YS 1) + α 2 (BS 2-BS 1); collecting multiple groups of sample data and setting corresponding overhaul coefficients for each group of sample data by technicians in the field; substituting the set overhaul coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are 5.68 and 3.37 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding overhaul coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship between the parameters and the quantized values is not affected, for example, the overhaul coefficient is proportional to the difference value between YS2 and YS 1.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and 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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