CN112994158A - Power operation autonomous management system - Google Patents
Power operation autonomous management system Download PDFInfo
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- CN112994158A CN112994158A CN202110233221.3A CN202110233221A CN112994158A CN 112994158 A CN112994158 A CN 112994158A CN 202110233221 A CN202110233221 A CN 202110233221A CN 112994158 A CN112994158 A CN 112994158A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00309—Overheat or overtemperature protection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
- H02J7/007182—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery voltage
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- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a power supply operation autonomous management system, which comprises a data acquisition unit and a load regulation unit, wherein a state monitoring unit and a data analysis unit are arranged to monitor and analyze the bad conditions of a power supply in the charging and discharging process, the bad conditions of the power supply in the working process are found in time, the occurrence of accidents is prevented, the safety of the use of the power supply is improved, the loss conditions of the power supply in the charging process and the discharging process are calculated and analyzed by arranging the data analysis unit, a controller and the load regulation unit, the health coefficient of the power supply is finally calculated by the controller, and meanwhile, the power supply is autonomously regulated according to the effective output voltage and the load voltage provided by the power supply in the use process, so that a user can know the service life of the power supply in time and conveniently select proper time to maintain and replace the power supply, the labor intensity of workers is reduced, the time is saved, and the efficiency is improved.
Description
Technical Field
The invention relates to an autonomous management system, in particular to a power supply operation autonomous management system.
Background
The power supply is a device for converting energy in other forms into electric energy, provides power for electronic equipment, is also called a power supply, provides electric energy required by all parts in electric equipment, and is also a widely practical clean energy source in our lives.
In the prior art, when a power supply is used, the power supply is generally selected according to the experience of a user, and then the power supply is applied to a circuit to provide electric energy in the circuit, and the electric energy is consumed and then charged. To this end, we provide a power operation autonomic management system.
Disclosure of Invention
The invention aims to provide a power supply operation autonomous management system, which monitors and analyzes the bad conditions of a power supply in the charging and discharging processes by arranging a state monitoring unit and a data analysis unit, finds the bad conditions of the power supply in the working process in time, prevents the occurrence of accidents, improves the safety of the use of the power supply, calculates and analyzes the loss conditions of the power supply in the charging process and the discharging process by arranging the data analysis unit, a controller and a load adjustment unit, finally calculates the health coefficient of the power supply by the controller, and autonomously adjusts the power supply according to the effective output voltage and the load voltage provided by the power supply in the use process, so that a user can know the service life of the power supply in time, conveniently select proper time to maintain and replace the power supply, and reduces the labor intensity of workers, time is saved, and efficiency is improved.
The technical problem solved by the invention is as follows:
(1) how to monitor and analyze the bad conditions of the power supply in the charging and discharging process by arranging a state monitoring unit and a data analysis unit solves the problem that users are difficult to find the bad working state of the power supply in time in the prior art;
(2) how to calculate the loss condition that the power produced in charging process and discharging process and finally calculate the healthy coefficient of power through the controller through setting up data analysis unit, controller and load regulation unit, the power carries out autonomic regulation according to the effective output voltage and the load voltage that self provided simultaneously in the use, has solved among the prior art power life can't in time be known and need artifical self-regulation load voltage supply's problem.
The purpose of the invention can be realized by the following technical scheme: a power supply operation autonomous management system comprises a data acquisition unit, a state monitoring unit, a data analysis unit, a data storage unit, an alarm feedback unit, a controller and a load regulation unit;
the data acquisition unit is used for acquiring and transmitting working specification data, discharging data and charging data of a power supply to the data storage unit for storage, the working specification data comprises rated voltage data and electric energy capacity data, the discharging data comprises discharging frequency data, single discharging time length data and single discharging voltage data, the charging data comprises charging frequency data, single charging time length data and single charging mode data, and the charging mode data represents a charging speed mode and is respectively a fast charging mode and a slow charging mode; the data acquisition unit is also used for acquiring load data, wherein the load data comprises load voltage data, load working time length data and priority level data of each connected load, and the priority level data represents the importance degree of the corresponding load in working;
the state monitoring unit is used for monitoring the working state of the power supply in real time and directly transmitting the obtained temperature abnormal signal and the noise abnormal signal to the alarm feedback unit;
the data analysis unit is used for analyzing the discharge working condition of the power supply and sending the obtained insufficient voltage signal and the obtained discharge loss factor to the controller, and the data analysis unit is also used for analyzing the charge working condition of the power supply and sending the obtained abnormal charge signal and the obtained charge loss factor to the controller;
the controller receives and identifies the voltage shortage signal, converts the voltage shortage signal into a load regulation instruction and sends the load regulation instruction to the load regulation unit, when the controller receives and identifies the charging abnormal signal, converts the charging abnormal signal into a charging alarm signal and sends the charging alarm signal to the alarm feedback unit, the controller obtains a discharging loss factor and a charging loss factor, substitutes the discharging loss factor and the charging loss factor into a calculation type power health coefficient which is 1-discharging loss factor, a power health limit value is preset in the controller, and when the power health coefficient is smaller than the power health limit value, a power excess loss signal is generated and transmitted to the alarm feedback unit;
the load adjusting unit receives and identifies a load adjusting instruction, the working state of each load is adjusted, and the alarm feedback unit receives a temperature abnormal signal, a noise abnormal signal, a charging alarm signal and a power supply excessive signal, converts the temperature abnormal signal, the noise abnormal signal, the charging alarm signal and the power supply excessive signal into corresponding text information and transmits the text information to the mobile phone terminal of the user.
The invention has further technical improvements that: the real-time detection of the state monitoring unit comprises the following specific steps:
step S21: the method comprises the steps that working temperature data of a power supply during working are obtained through a temperature sensor, a power supply temperature limit value is preset in a state monitoring unit, when the working temperature data are smaller than the power supply temperature limit value, the power supply temperature is judged to be normal, when the working temperature data are larger than or equal to the power supply temperature limit value, the power supply temperature is judged to be abnormal without any treatment, and a temperature abnormal signal is generated;
step S22: acquiring charging noise data of a power supply during charging, judging a charging mode of the power supply during charging, presetting a fast charging noise limit value and a slow charging noise limit value in a state monitoring unit, and comparing the charging noise data with the fast charging noise limit value when the power supply is in the fast charging mode:
when the charging noise data is smaller than the quick charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the quick charging noise limit value, judging that the charging noise is abnormal;
comparing the charging noise data to a slow charging noise limit when the power supply is in a slow charging mode:
when the charging noise data is smaller than the slow charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the slow charging noise limit value, judging that the charging noise is abnormal;
when the charging noise is normal, no processing is performed, and when the charging noise is abnormal, a noise abnormal signal is generated.
The invention has further technical improvements that: the data analysis unit analyzes the discharge working condition and comprises the following specific steps:
step S31: extracting discharge data from a data storage unit, marking discharge time data in the data storage unit as m, marking single discharge time length data in the data storage unit as FCi, and marking single discharge voltage data in the data storage unit as FDi, wherein i represents the number of times of power supply discharge, i is 1,2,3 … … m, acquiring load data from the data storage unit, marking load voltage data in the data storage unit as FZj, j represents the numbers of different loads, and j is a positive integer, extracting work specification data from the data storage unit, and marking rated voltage data in the data storage unit as DY;
step S32: summing the load voltage data of each load to obtain total load voltage data, marking the total load voltage data as DYZ, and substituting the rated voltage data into a calculation formula: obtaining effective output voltage by the effective output voltage being rated voltage data and voltage loss coefficient, wherein the voltage loss coefficient is a preset value, comparing the effective output voltage with total load voltage data, when the effective output voltage is greater than or equal to the total load voltage, judging that the power types are matched, not performing any processing, directly entering step S33, and when the effective output voltage is less than the total load voltage, judging that the power types are not matched, and generating an insufficient voltage signal;
step S33: summing the single discharge time length data to obtain total discharge time length data, marking the total discharge time length data as FCz, summing the single discharge voltage data, then calculating the average value of the single discharge voltage data, then calculating the voltage standard deviation by using the average value of the single discharge voltage data, marking the voltage standard deviation as DS, and substituting the total discharge time length data and the voltage standard deviation into a calculation formula together:
and obtaining the FSH, wherein e represents a natural constant in mathematics, alpha represents a discharge time length influence coefficient, beta represents a voltage stability influence coefficient, and both alpha and beta are preset values.
The invention has further technical improvements that: the data analysis unit analyzes the charging condition of the power supply by the following specific steps:
step S41: extracting charging data from the data storage unit, marking the charging number data in the data storage unit as k, dividing the charging number into two parts according to the charging mode data, namely a fast charging number k1 and a slow charging number k2, wherein k1+ k2 is k, and dividing the single charging time duration data in the data storage unit into two parts, namely a single fast charging time duration KCn1 and a single slow charging time duration MCn2, wherein n1 represents the number sequence number of the fast charging times, n1 is 1,2,3 … … k1, n2 represents the number sequence number of the slow charging times, and n2 is 1,2,3 … … k 2;
step S42: the data analysis unit is preset with a fast charging standard time limit and a slow charging standard time limit, the single fast charging time is compared with the fast charging standard time limit, when the single fast charging time is larger than the fast charging standard time limit continuously or the single slow charging time is larger than the slow charging standard time limit continuously, the charging module of the power supply is judged to work abnormally, and a charging abnormal signal is generated;
step S43: summing the single quick charging time lengths to obtain a total quick charging time length and marking the total quick charging time length as KCZ, summing the single slow charging time lengths to obtain a total slow charging time length and marking the total slow charging time length as MCZ;
step S44: substituting the charging time data, the total quick charging time and the total slow charging time into a calculation formula together: and obtaining a charging loss factor CSH, wherein a represents a charging time influence coefficient, b represents a fast charging mode influence coefficient, c represents a slow charging mode influence coefficient, a, b and c are preset values, and b + c is 1.
The invention has further technical improvements that: the specific steps of the load adjusting unit for adjusting the working state of each load are as follows:
step S51: extracting load data from a data storage unit, marking the load working time length data in the load data as FSCt, and marking the priority level data in the load data as FYXt, wherein t represents the number of each load, and is a positive integer;
step S52: and carrying out grade classification on each load according to priority grade data, sequencing the loads from small to large according to the load working duration data in each grade classification, generating a load duration sequence, and closing a circuit with small working duration data in the load duration sequence until the effective output voltage is greater than or equal to the total load voltage.
Compared with the prior art, the invention has the beneficial effects that:
1. when the invention is used, the data acquisition unit acquires and transmits the working specification data, the discharge data and the charge data of the power supply to the data storage unit for storage, the data acquisition unit is also used for acquiring load data, the state monitoring unit monitors the working state of the power supply in real time, the obtained temperature abnormal signal and the obtained noise abnormal signal are directly transmitted to the alarm feedback unit, the data analysis unit analyzes the discharge working condition of the power supply and transmits the obtained insufficient voltage signal and the discharge loss factor to the controller, the data analysis unit also analyzes the charge working condition of the power supply and transmits the obtained charge abnormal signal and the charge loss factor to the controller, and the bad conditions of the power supply in the charge-discharge process are monitored and analyzed by arranging the state monitoring unit and the data analysis unit so as to find the bad conditions in the working process of the power supply in time, the occurrence of accidents is prevented, and the safety of the power supply is improved.
2. The controller receives and identifies the voltage shortage signal, converts the voltage shortage signal into a load adjusting instruction and sends the load adjusting instruction to the load adjusting unit, the controller receives and identifies the charging abnormal signal, converts the charging abnormal signal into a charging alarm signal and sends the charging alarm signal to the alarm feedback unit, the controller obtains a discharging loss factor and a charging loss factor and substitutes the discharging loss factor into a calculation power health coefficient which is 1-discharging loss factor charging loss factor, a power health limit value is preset in the controller, when the power health coefficient is smaller than the power health limit value, a power excess loss signal is generated and transmitted to the alarm feedback unit, the load adjusting unit receives and identifies the load adjusting instruction and adjusts the working state of each load, the alarm feedback unit receives the temperature abnormal signal, the noise abnormal signal, the charging alarm signal and the power excess signal and converts the temperature abnormal signal, the noise abnormal signal, the charging alarm signal and the power excess signal into corresponding text information and transmits the text information to the user mobile phone terminal, through setting up data analysis unit, controller and load regulation unit, carry out calculation analysis and finally calculate the healthy coefficient of power through the controller to the loss condition that the power produced in charging process and discharge process, the effective output voltage and the load voltage that the power provided according to self carry out autonomic regulation simultaneously in the use, not only make the user in time know the life of power, conveniently select suitable opportunity to maintain and change the power, artificial intensity of labour has still been reduced, time has been saved, efficiency is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
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.
Referring to fig. 1, a power operation autonomous management system includes a data acquisition unit, a state monitoring unit, a data analysis unit, a data storage unit, an alarm feedback unit, a controller, and a load adjustment unit;
the data acquisition unit is used for acquiring and transmitting working specification data, discharging data and charging data of a power supply to the data storage unit for storage, the working specification data comprises rated voltage data and electric energy capacity data, the discharging data comprises discharging frequency data, single discharging time length data and single discharging voltage data, the charging data comprises charging frequency data, single charging time length data and single charging mode data, and the charging mode data represents a charging speed mode and is respectively a fast charging mode and a slow charging mode; the data acquisition unit is also used for acquiring load data, wherein the load data comprises load voltage data, load working time length data and priority level data of each connected load, and the priority level data represents the importance degree of the corresponding load in working;
the state monitoring unit is used for monitoring the working state of the power supply in real time and directly transmitting the obtained temperature abnormal signal and the noise abnormal signal to the alarm feedback unit;
the data analysis unit is used for analyzing the discharge working condition of the power supply and sending the obtained insufficient voltage signal and the obtained discharge loss factor to the controller, and the data analysis unit is also used for analyzing the charge working condition of the power supply and sending the obtained abnormal charge signal and the obtained charge loss factor to the controller;
the controller receives and identifies the voltage shortage signal, converts the voltage shortage signal into a load regulation instruction and sends the load regulation instruction to the load regulation unit, when the controller receives and identifies the charging abnormal signal, converts the charging abnormal signal into a charging alarm signal and sends the charging alarm signal to the alarm feedback unit, the controller obtains a discharging loss factor and a charging loss factor, substitutes the discharging loss factor and the charging loss factor into a calculation type power health coefficient which is 1-discharging loss factor, a power health limit value is preset in the controller, and when the power health coefficient is smaller than the power health limit value, a power excess loss signal is generated and transmitted to the alarm feedback unit;
the load adjusting unit receives and identifies a load adjusting instruction, the working state of each load is adjusted, and the alarm feedback unit receives a temperature abnormal signal, a noise abnormal signal, a charging alarm signal and a power supply excessive signal, converts the temperature abnormal signal, the noise abnormal signal, the charging alarm signal and the power supply excessive signal into corresponding text information and transmits the text information to the mobile phone terminal of the user.
The real-time detection of the state monitoring unit comprises the following specific steps:
step S21: the method comprises the steps that working temperature data of a power supply during working are obtained through a temperature sensor, a power supply temperature limit value is preset in a state monitoring unit, when the working temperature data are smaller than the power supply temperature limit value, the power supply temperature is judged to be normal, when the working temperature data are larger than or equal to the power supply temperature limit value, the power supply temperature is judged to be abnormal without any treatment, and a temperature abnormal signal is generated;
step S22: acquiring charging noise data of a power supply during charging, judging a charging mode of the power supply during charging, presetting a fast charging noise limit value and a slow charging noise limit value in a state monitoring unit, and comparing the charging noise data with the fast charging noise limit value when the power supply is in the fast charging mode:
when the charging noise data is smaller than the quick charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the quick charging noise limit value, judging that the charging noise is abnormal;
comparing the charging noise data to a slow charging noise limit when the power supply is in a slow charging mode:
when the charging noise data is smaller than the slow charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the slow charging noise limit value, judging that the charging noise is abnormal;
when the charging noise is normal, no processing is performed, and when the charging noise is abnormal, a noise abnormal signal is generated.
The data analysis unit analyzes the discharge working condition and comprises the following specific steps:
step S31: extracting discharge data from a data storage unit, marking discharge time data in the data storage unit as m, marking single discharge time length data in the data storage unit as FCi, and marking single discharge voltage data in the data storage unit as FDi, wherein i represents the number of times of power supply discharge, i is 1,2,3 … … m, acquiring load data from the data storage unit, marking load voltage data in the data storage unit as FZj, j represents the numbers of different loads, and j is a positive integer, extracting work specification data from the data storage unit, and marking rated voltage data in the data storage unit as DY;
step S32: summing the load voltage data of each load to obtain total load voltage data, marking the total load voltage data as DYZ, and substituting the rated voltage data into a calculation formula: obtaining effective output voltage by the effective output voltage being rated voltage data and voltage loss coefficient, wherein the voltage loss coefficient is a preset value, comparing the effective output voltage with total load voltage data, when the effective output voltage is greater than or equal to the total load voltage, judging that the power types are matched, not performing any processing, directly entering step S33, and when the effective output voltage is less than the total load voltage, judging that the power types are not matched, and generating an insufficient voltage signal;
step S33: summing the single discharge time length data to obtain total discharge time length data, marking the total discharge time length data as FCz, summing the single discharge voltage data, then calculating the average value of the single discharge voltage data, then calculating the voltage standard deviation by using the average value of the single discharge voltage data, marking the voltage standard deviation as DS, and substituting the total discharge time length data and the voltage standard deviation into a calculation formula together:
and obtaining the FSH, wherein e represents a natural constant in mathematics, alpha represents a discharge time length influence coefficient, beta represents a voltage stability influence coefficient, and both alpha and beta are preset values.
The data analysis unit analyzes the charging condition of the power supply by the following specific steps:
step S41: extracting charging data from the data storage unit, marking the charging number data in the data storage unit as k, dividing the charging number into two parts according to the charging mode data, namely a fast charging number k1 and a slow charging number k2, wherein k1+ k2 is k, and dividing the single charging time duration data in the data storage unit into two parts, namely a single fast charging time duration KCn1 and a single slow charging time duration MCn2, wherein n1 represents the number sequence number of the fast charging times, n1 is 1,2,3 … … k1, n2 represents the number sequence number of the slow charging times, and n2 is 1,2,3 … … k 2;
step S42: the data analysis unit is preset with a fast charging standard time limit and a slow charging standard time limit, the single fast charging time is compared with the fast charging standard time limit, when the single fast charging time is larger than the fast charging standard time limit continuously or the single slow charging time is larger than the slow charging standard time limit continuously, the charging module of the power supply is judged to work abnormally, and a charging abnormal signal is generated;
step S43: summing the single quick charging time lengths to obtain a total quick charging time length and marking the total quick charging time length as KCZ, summing the single slow charging time lengths to obtain a total slow charging time length and marking the total slow charging time length as MCZ;
step S44: substituting the charging time data, the total quick charging time and the total slow charging time into a calculation formula together: and obtaining a charging loss factor CSH, wherein a represents a charging time influence coefficient, b represents a fast charging mode influence coefficient, c represents a slow charging mode influence coefficient, a, b and c are preset values, and b + c is 1.
The specific steps of the load adjusting unit for adjusting the working state of each load are as follows:
step S51: extracting load data from a data storage unit, marking the load working time length data in the load data as FSCt, and marking the priority level data in the load data as FYXt, wherein t represents the number of each load, and is a positive integer;
step S52: and carrying out grade classification on each load according to priority grade data, sequencing the loads from small to large according to the load working duration data in each grade classification, generating a load duration sequence, and closing a circuit with small working duration data in the load duration sequence until the effective output voltage is greater than or equal to the total load voltage.
The working principle is as follows: when the invention is used, the data acquisition unit acquires and transmits the working specification data, the discharge data and the charge data of the power supply to the data storage unit for storage, the data acquisition unit is also used for acquiring the load data, the state monitoring unit monitors the working state of the power supply in real time, the obtained temperature abnormal signal and the obtained noise abnormal signal are directly transmitted to the alarm feedback unit, the data analysis unit analyzes the discharge working condition of the power supply and transmits the obtained insufficient voltage signal and the discharge loss factor to the controller, the data analysis unit also analyzes the charge working condition of the power supply and transmits the obtained abnormal charge signal and the charge loss factor to the controller, when the controller receives and identifies the insufficient voltage signal, the controller converts the insufficient voltage signal into a load adjustment instruction and transmits the load adjustment instruction to the load adjustment unit, and when the controller receives and identifies the abnormal charge signal, the controller obtains a discharge loss factor and a charge loss factor, substitutes the discharge loss factor and the charge loss factor into a calculation power health coefficient which is 1-discharge loss factor charge loss factor, presets a power health limit value in the controller, generates a power excess loss signal and transmits the power excess loss signal to the alarm feedback unit when the power health factor is smaller than the power health limit value, the load adjusting unit receives and identifies a load adjusting instruction and adjusts the working state of each load, and the alarm feedback unit receives a temperature abnormal signal, a noise abnormal signal, a charge alarm signal and a power excess signal, converts the temperature abnormal signal, the noise abnormal signal, the charge alarm signal and the power excess signal into corresponding text information and transmits the text information to a user mobile phone terminal.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation and a specific orientation configuration and operation, and thus, should not be construed as limiting the present invention. Furthermore, "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (5)
1. A power operation autonomous management system is characterized in that: the system comprises a data acquisition unit, a state monitoring unit, a data analysis unit, a data storage unit, an alarm feedback unit, a controller and a load regulation unit;
the data acquisition unit is used for acquiring and transmitting working specification data, discharging data and charging data of a power supply to the data storage unit for storage, the working specification data comprises rated voltage data and electric energy capacity data, the discharging data comprises discharging frequency data, single discharging time length data and single discharging voltage data, the charging data comprises charging frequency data, single charging time length data and single charging mode data, and the charging mode data represents a charging speed mode and is respectively a fast charging mode and a slow charging mode; the data acquisition unit is also used for acquiring load data, wherein the load data comprises load voltage data, load working time length data and priority level data of each connected load, and the priority level data represents the importance degree of the corresponding load in working;
the state monitoring unit is used for monitoring the working state of the power supply in real time and directly transmitting the obtained temperature abnormal signal and the noise abnormal signal to the alarm feedback unit;
the data analysis unit is used for analyzing the discharge working condition of the power supply and sending the obtained insufficient voltage signal and the obtained discharge loss factor to the controller, and the data analysis unit is also used for analyzing the charge working condition of the power supply and sending the obtained abnormal charge signal and the obtained charge loss factor to the controller;
the controller receives and identifies the voltage shortage signal, converts the voltage shortage signal into a load regulation instruction and sends the load regulation instruction to the load regulation unit, when the controller receives and identifies the charging abnormal signal, converts the charging abnormal signal into a charging alarm signal and sends the charging alarm signal to the alarm feedback unit, the controller obtains a discharging loss factor and a charging loss factor, substitutes the discharging loss factor and the charging loss factor into a calculation type power health coefficient which is 1-discharging loss factor, a power health limit value is preset in the controller, and when the power health coefficient is smaller than the power health limit value, a power excess loss signal is generated and transmitted to the alarm feedback unit;
the load adjusting unit receives and identifies a load adjusting instruction, the working state of each load is adjusted, and the alarm feedback unit receives a temperature abnormal signal, a noise abnormal signal, a charging alarm signal and a power supply excessive signal, converts the temperature abnormal signal, the noise abnormal signal, the charging alarm signal and the power supply excessive signal into corresponding text information and transmits the text information to the mobile phone terminal of the user.
2. The system for autonomously managing power supply operation according to claim 1, wherein the real-time detection performed by the status monitoring unit comprises the following specific steps:
step S21: the method comprises the steps that working temperature data of a power supply during working are obtained through a temperature sensor, a power supply temperature limit value is preset in a state monitoring unit, when the working temperature data are smaller than the power supply temperature limit value, the power supply temperature is judged to be normal, when the working temperature data are larger than or equal to the power supply temperature limit value, the power supply temperature is judged to be abnormal without any treatment, and a temperature abnormal signal is generated;
step S22: acquiring charging noise data of a power supply during charging, judging a charging mode of the power supply during charging, presetting a fast charging noise limit value and a slow charging noise limit value in a state monitoring unit, and comparing the charging noise data with the fast charging noise limit value when the power supply is in the fast charging mode:
when the charging noise data is smaller than the quick charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the quick charging noise limit value, judging that the charging noise is abnormal;
comparing the charging noise data to a slow charging noise limit when the power supply is in a slow charging mode:
when the charging noise data is smaller than the slow charging noise limit value, judging that the charging noise is normal, and when the charging noise data is larger than or equal to the slow charging noise limit value, judging that the charging noise is abnormal;
when the charging noise is normal, no processing is performed, and when the charging noise is abnormal, a noise abnormal signal is generated.
3. The power operation autonomous management system of claim 1, wherein the data analysis unit analyzes the discharge condition by the specific steps of:
step S31: extracting discharge data from a data storage unit, marking discharge time data in the data storage unit as m, marking single discharge time length data in the data storage unit as FCi, and marking single discharge voltage data in the data storage unit as FDi, wherein i represents the number of times of power supply discharge, i is 1,2,3 … … m, acquiring load data from the data storage unit, marking load voltage data in the data storage unit as FZj, j represents the numbers of different loads, and j is a positive integer, extracting work specification data from the data storage unit, and marking rated voltage data in the data storage unit as DY;
step S32: summing the load voltage data of each load to obtain total load voltage data, marking the total load voltage data as DYZ, and substituting the rated voltage data into a calculation formula: obtaining effective output voltage by the effective output voltage being rated voltage data and voltage loss coefficient, wherein the voltage loss coefficient is a preset value, comparing the effective output voltage with total load voltage data, when the effective output voltage is greater than or equal to the total load voltage, judging that the power types are matched, not performing any processing, directly entering step S33, and when the effective output voltage is less than the total load voltage, judging that the power types are not matched, and generating an insufficient voltage signal;
step S33: summing the single discharge time length data to obtain total discharge time length data, marking the total discharge time length data as FCz, summing the single discharge voltage data, then calculating the average value of the single discharge voltage data, then calculating the voltage standard deviation by using the average value of the single discharge voltage data, marking the voltage standard deviation as DS, substituting the total discharge time length data and the voltage standard deviation into a meterThe formula is as follows:
and obtaining the FSH, wherein e represents a natural constant in mathematics, alpha represents a discharge time length influence coefficient, beta represents a voltage stability influence coefficient, and both alpha and beta are preset values.
4. The power supply operation autonomous management system of claim 1, wherein the data analysis unit analyzes the power supply charging condition by the following specific steps:
step S41: extracting charging data from the data storage unit, marking the charging number data in the data storage unit as k, dividing the charging number into two parts according to the charging mode data, namely a fast charging number k1 and a slow charging number k2, wherein k1+ k2 is k, and dividing the single charging time duration data in the data storage unit into two parts, namely a single fast charging time duration KCn1 and a single slow charging time duration MCn2, wherein n1 represents the number sequence number of the fast charging times, n1 is 1,2,3 … … k1, n2 represents the number sequence number of the slow charging times, and n2 is 1,2,3 … … k 2;
step S42: the data analysis unit is preset with a fast charging standard time limit and a slow charging standard time limit, the single fast charging time is compared with the fast charging standard time limit, when the single fast charging time is larger than the fast charging standard time limit continuously or the single slow charging time is larger than the slow charging standard time limit continuously, the charging module of the power supply is judged to work abnormally, and a charging abnormal signal is generated;
step S43: summing the single quick charging time lengths to obtain a total quick charging time length and marking the total quick charging time length as KCZ, summing the single slow charging time lengths to obtain a total slow charging time length and marking the total slow charging time length as MCZ;
step S44: substituting the charging time data, the total quick charging time and the total slow charging time into a calculation formula together: and obtaining a charging loss factor CSH, wherein a represents a charging time influence coefficient, b represents a fast charging mode influence coefficient, c represents a slow charging mode influence coefficient, a, b and c are preset values, and b + c is 1.
5. The system according to claim 1, wherein the load adjusting unit adjusts the operating state of each load by the following specific steps:
step S51: extracting load data from a data storage unit, marking the load working time length data in the load data as FSCt, and marking the priority level data in the load data as FYXt, wherein t represents the number of each load, and is a positive integer;
step S52: and carrying out grade classification on each load according to priority grade data, sequencing the loads from small to large according to the load working duration data in each grade classification, generating a load duration sequence, and closing a circuit with small working duration data in the load duration sequence until the effective output voltage is greater than or equal to the total load voltage.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114444096A (en) * | 2022-01-06 | 2022-05-06 | 杭州京胜航星科技有限公司 | Network data storage encryption detection system based on data analysis |
| CN114615768A (en) * | 2022-03-16 | 2022-06-10 | 蚌埠崧欣电子科技有限公司 | Adjustable energy-saving system based on LED driving power supply |
| CN115047371A (en) * | 2022-06-09 | 2022-09-13 | 济南航进电子科技有限公司 | Partial discharge-free variable frequency power supply operation detection system based on transformer detection |
| CN115359633A (en) * | 2022-08-11 | 2022-11-18 | 深圳市伊力科电源有限公司 | Health state early warning method, uninterruptible power supply and computer-readable storage medium |
| CN115963423A (en) * | 2022-12-21 | 2023-04-14 | 广州辰创科技发展有限公司 | Power health state monitoring system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114444096A (en) * | 2022-01-06 | 2022-05-06 | 杭州京胜航星科技有限公司 | Network data storage encryption detection system based on data analysis |
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| CN114615768B (en) * | 2022-03-16 | 2022-12-09 | 蚌埠崧欣电子科技有限公司 | Adjustable energy-saving system based on LED driving power supply |
| CN115047371A (en) * | 2022-06-09 | 2022-09-13 | 济南航进电子科技有限公司 | Partial discharge-free variable frequency power supply operation detection system based on transformer detection |
| CN115359633A (en) * | 2022-08-11 | 2022-11-18 | 深圳市伊力科电源有限公司 | Health state early warning method, uninterruptible power supply and computer-readable storage medium |
| CN115963423A (en) * | 2022-12-21 | 2023-04-14 | 广州辰创科技发展有限公司 | Power health state monitoring system |
| CN115963423B (en) * | 2022-12-21 | 2023-11-14 | 广州辰创科技发展有限公司 | Power supply health state monitoring system |
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