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CN114441845B - Voltage drift monitoring method and device - Google Patents

Voltage drift monitoring method and device Download PDF

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Publication number
CN114441845B
CN114441845B CN202111553115.XA CN202111553115A CN114441845B CN 114441845 B CN114441845 B CN 114441845B CN 202111553115 A CN202111553115 A CN 202111553115A CN 114441845 B CN114441845 B CN 114441845B
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drift
voltage
coefficient
analysis
power supply
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CN114441845A (en
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钟云洋
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Inceptio Star Intelligent Technology Shanghai Co Ltd
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Inceptio Star Intelligent Technology Shanghai Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques

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  • General Physics & Mathematics (AREA)
  • Power Sources (AREA)
  • Measurement Of Current Or Voltage (AREA)
  • Control Of Voltage And Current In General (AREA)

Abstract

The invention provides a voltage drift monitoring method and a device, wherein the method comprises the following steps: inputting the voltage data of the target power supply obtained in real time into a drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on the drift limit value obtained by analysis or detection extraction of the drift influence factors. According to the invention, the drift analysis is carried out on the obtained voltage data of the target power supply through the drift analysis model, so that the voltage data of the target power supply can be monitored in real time, the failure coverage rate is improved, and high-level functional safety is realized; and a drift analysis result is obtained through a drift model, so that the voltage drift condition can be solved by adopting corresponding measures according to the drift analysis result in time, and the safety and reliability are improved.

Description

Voltage drift monitoring method and device
Technical Field
The present invention relates to the field of circuit technologies, and in particular, to a voltage drift monitoring method and apparatus.
Background
As functional security is increasingly emphasized, more and more security mechanisms are being employed in various fields. The safety mechanism of the power supply mainly comprises three types of safety standards, namely the functional safety standard of an IEC61508 electric/electronic/programmable electronic safety related system and the functional safety standard of an ISO26262 road vehicle: safety mechanisms for overvoltage and undervoltage failure modes, safety mechanisms for drift and oscillation failure modes, and safety mechanisms for power supply spike failure modes.
At present, most of common safety mechanisms are safety mechanisms aiming at overvoltage and undervoltage, and the common methods are mainly two, namely, analog-to-digital conversion is carried out on voltage, overvoltage and undervoltage limit values are set in a processor, and whether the voltage exceeds an extreme value range is monitored in real time; the power supply chip is utilized to output low or high level through a status indication management (PG or PGOOD is usually adopted) by utilizing the overvoltage and undervoltage detection capability of the power supply chip, and the low or high level is used for indicating whether the power supply voltage is at risk of overvoltage or undervoltage; the other is by targeted involvement in the implementation of safety mechanisms against drift, oscillations and power spikes in fact.
For the first mode, because the failure modes causing drift, oscillation and power supply spurs cannot be covered and the coverage rate is at the bottom, when the coverage rate of a safety mechanism is claimed, only low coverage rate can be claimed, and the residual failure rate of the power supply corresponding to the low coverage rate is higher, so that the higher functional safety level is not favored; for the second mode, since the failure modes such as drift, oscillation, power supply spike and the like can only be controlled, the occurrence of failure cannot be monitored, and once the safety mechanism fails, a double-point failure may occur, so when the hidden failure coverage rate is claimed, the hidden failure coverage rate cannot be claimed, thereby being unfavorable for a higher functional safety level.
Disclosure of Invention
The invention provides a voltage drift monitoring method and device, which are used for solving the defect of low coverage rate caused by failure modes such as drift, oscillation, power supply spurs and the like in the prior art, achieving higher failure coverage rate and realizing high-grade functional safety.
The invention provides a voltage drift monitoring method, which comprises the following steps: inputting voltage data of a target power supply obtained in real time into a drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on the drift limit value obtained by analysis or detection extraction of drift influence factors of the voltage data of the target power supply acquired in real time.
According to the voltage drift monitoring method provided by the invention, the drift analysis model comprises the following steps: the limit value acquisition layer is used for analyzing or detecting drift influence factors to obtain a drift limit value; the voltage acquisition layer is used for acquiring average voltage based on the voltage characteristics; and the drift analysis layer is used for comparing the average voltage with a drift limit value to obtain a drift analysis result.
According to the voltage drift monitoring method provided by the invention, the obtained drift limit value comprises the following steps: the drift influencing factors comprise at least one of a temperature coefficient, a load current coefficient, an input voltage coefficient, a time coefficient and a margin coefficient, and a drift limit value is obtained based on the drift influencing factors.
According to the voltage drift monitoring method provided by the invention, the drift limit value comprises a drift upper limit value and a drift lower limit value, wherein:
The drift upper limit value is expressed as:
xLimit-H=xNominal×(1+|KT|)×(1+|KV|)×(1+|KLoad|)×(1+|KHour|)×(1+|KMargin|)
The drift lower limit value is expressed as:
xLimit-L=xNominal×(1-|KT|)×(1-|KV|)×(1-|KLoad|)×(1-|KHour|)×(1-|KMargin|)
Wherein x Limit-H represents the drift upper limit value, x Nominal represents the theoretical value corresponding to the voltage data without drift, K T represents the temperature coefficient, K V represents the input voltage coefficient, K Load represents the load current coefficient, K Hour represents the time coefficient, and K Margin represents the margin coefficient.
According to the voltage drift monitoring method provided by the invention, before the voltage data of the target power supply acquired in advance is input into the drift analysis model, the method further comprises the following steps: acquiring a target power supply voltage of a target power supply based on the voltage transfer circuit; and performing digital conversion on the target power supply voltage based on the analog-digital converter to obtain voltage data.
According to the voltage drift monitoring method provided by the invention, after the voltage data are obtained, the voltage drift monitoring method comprises the following steps: the voltage data is stored into a register.
According to the voltage drift monitoring method provided by the invention, after the drift analysis result output by the drift analysis model is obtained, the method further comprises the following steps: obtaining a drift state indication according to the drift analysis result; based on the drift state indication, corresponding control measures are adopted.
According to the voltage drift monitoring method provided by the invention, based on the drift state indication, corresponding control measures are adopted, and the method comprises the following steps: and indicating that the drift exceeds based on the drift state, and controlling measures.
The invention also provides a voltage drift monitoring device, comprising: the controller inputs the voltage data acquired in advance into the drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on the drift limit value obtained by analysis or detection extraction of the drift influence factors.
According to the voltage drift monitoring device provided by the invention, the controller further comprises an analog-digital converter and a register, wherein: the analog-digital converter is used for receiving the target power supply voltage transmitted by the voltage transmission circuit based on the target power supply and performing digital conversion on the target power supply voltage to obtain voltage data; the register is used for receiving and storing the voltage data obtained by the analog-digital converter; and the drift analysis model acquires the voltage data from the register and carries out drift analysis on the voltage data to obtain a drift analysis result.
According to the voltage drift monitoring device provided by the invention, the voltage drift monitoring device further comprises an analog-digital converter, and the controller further comprises a register, wherein: the analog-digital converter is used for receiving the target power supply voltage transmitted by the voltage transmission circuit based on the target power supply and performing digital conversion on the target power supply voltage to obtain voltage data; the register is used for receiving and storing the voltage data obtained by the analog-digital converter; and the drift analysis model acquires the voltage data from the register and carries out drift analysis on the voltage data to obtain a drift analysis result.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the voltage drift monitoring method as described in any of the above when executing the program.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the voltage drift monitoring method as described in any of the above.
The invention also provides a computer program product comprising a computer program which when executed by a processor implements the steps of a voltage drift monitoring method as described in any of the above.
According to the voltage drift monitoring method and device, drift analysis is carried out on the obtained voltage data of the target power supply through the drift analysis model, so that the voltage data of the target power supply can be monitored in real time, the failure coverage rate is improved, and high-level functional safety is realized; and a drift analysis result is obtained through a drift model, so that the voltage drift condition can be solved by adopting corresponding measures according to the drift analysis result in time, and the safety and reliability are improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a voltage drift monitoring method provided by the invention;
FIG. 2 is a schematic diagram of a voltage drift monitor device according to the present invention;
FIG. 3 is a schematic diagram of a voltage drift monitor according to the present invention;
FIG. 4 is a second schematic diagram of a voltage drift monitor according to the present invention;
fig. 5 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 shows a schematic flow chart of a voltage drift monitoring method according to the present invention, which includes:
inputting the pre-acquired voltage data of the target power supply into a drift analysis model to obtain a drift analysis result output by the drift analysis model;
The drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors;
the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors of voltage data of a target power supply acquired in real time.
The voltage drift monitoring method of the present invention is described in detail below.
In this embodiment, the drift analysis model includes: the limit value acquisition layer is used for analyzing or detecting drift influence factors to obtain a drift limit value; the voltage acquisition layer is used for obtaining average voltage based on voltage characteristics; and the drift analysis layer is used for comparing the average voltage with a pre-acquired drift limit value to obtain a drift analysis result.
Specifically, first, the limit value acquisition layer analyzes or detects a drift influence factor to obtain a drift limit value.
In this embodiment, obtaining the drift limit includes: the drift influencing factors comprise at least one of a temperature coefficient, a load current coefficient, an input voltage coefficient, a time coefficient and a margin coefficient, and the drift limit value is obtained based on the drift influencing factors. In an alternative embodiment, the drift influencing factors also include hardware circuit errors, analog-to-digital conversion errors, and the like. Before comparing the average voltage with a preset drift limit value, the influence of factors such as hardware circuit errors, analog-to-digital conversion errors, temperature, time, voltage, load current and the like on voltage drift is comprehensively considered by utilizing a limit value acquisition layer, and after a proper allowance is given, the drift limit value is set so as to improve the accuracy and reliability of a drift analysis result.
Specifically, the drift limit includes a drift upper limit and a drift lower limit, wherein:
the upper drift limit, expressed as:
xLimit-H=xNominal×(1+|KT|)×(1+|KV|)×(1+|KLoad|)×(1+|KHour|)×(1+|KMargin|)
the drift lower limit value is expressed as:
xLimit-L=xNominal×(1-|KT|)×(1-|KV|)×(1-|KLoad|)×(1-|KHour|)×(1-|KMargin|)
wherein x Limit-H represents the upper limit value of drift, x Nominal represents the theoretical value corresponding to the voltage data without drift, K T represents the temperature coefficient, K V represents the input voltage coefficient, K Load represents the load current coefficient, K Hour represents the time coefficient, and K Margin represents the margin coefficient, which is defined according to the tolerance degree to drift, in relation to the total operating time of the power supply.
Further, the temperature coefficient is expressed as:
wherein K T represents a temperature coefficient, T represents a real-time temperature, T REF represents a reference temperature, and V OUT represents an output voltage value.
The voltage coefficient, expressed as:
Where K V denotes a voltage coefficient, V IN denotes an input voltage value, and V OUT denotes an output voltage value.
The load flow coefficient, expressed as:
Where K Load represents the load electrical output voltage value flow coefficient, I Load represents the load current, and V OUT represents the output voltage value.
And secondly, the voltage acquisition layer obtains average voltage based on the voltage characteristics. It should be noted that, the voltage characteristics may be averaged by an average calculation manner such as arithmetic average, weighted average, etc., and the specifically adopted average calculation manner may be determined according to the actual design requirement, which is not limited herein. In addition, when the voltage acquisition layer obtains the average voltage based on the voltage characteristics, the average voltage may be obtained based on all or part of the voltage characteristics, which may be specifically determined according to the actual design requirements, and is not further limited herein.
And finally, comparing the average voltage with a pre-acquired drift limit value by the drift analysis layer to obtain a drift analysis result. In this embodiment, the average voltage is compared with a drift limit value obtained in advance, and if the average voltage exceeds the drift limit value, the drift analysis result is displayed as voltage drift; otherwise, the drift analysis result shows that the voltage is normal. The voltage drift is a phenomenon in which the voltage of the target power supply changes with time or temperature and deviates from the nominal value.
In an alternative embodiment, before inputting the pre-acquired voltage data of the target power supply into the drift analysis model, the method further includes: based on the voltage transmission circuit, transmitting the acquired voltage analog signal of the target power supply voltage of the target power supply; and performing digital conversion on the voltage analog signal of the target power supply voltage based on the analog-digital converter to obtain voltage data. The target power supply voltage is subjected to digital conversion so as to obtain voltage data in the form of digital signals, and thus the drift analysis model is convenient to sample. Further, after obtaining the voltage data, the method includes: the voltage data is stored into a register.
In an alternative embodiment, after obtaining the drift analysis result output by the drift analysis model, the method further includes: obtaining a drift state indication according to a drift analysis result; based on the drift state indication, corresponding control measures are adopted.
Specifically, first, a drift state indication is obtained from the drift analysis result. In this embodiment, obtaining the drift state indication according to the drift analysis result includes: displaying voltage drift according to the drift analysis result, and displaying drift state indication as drift exceeding; and displaying that the voltage is normal according to the drift analysis result, and displaying that the drift is normal according to the drift state indication.
And secondly, based on the drift state indication, adopting corresponding control measures. In this embodiment, based on the drift state indication, a corresponding control measure is adopted, including: and (5) indicating that the drift exceeds the display drift based on the drift state, and taking control measures. In addition, when the drift state indicates that the drift is normal, no control measures are taken. The control measures include at least one of an enter-safe state measure and a function degradation control measure. Wherein, the function degradation refers to reducing or canceling functions or performances, the safety state control measures generally comprise shutdown, shielding output, manual taking over, standby system taking over and other measures, and the function degradation control measures generally comprise reducing speed, reducing action range, stopping part of functions and other measures.
In summary, the embodiment of the invention carries out drift analysis on the obtained voltage data of the target power supply through the drift analysis model, thereby being convenient for monitoring the voltage data of the target power supply in real time, improving failure coverage rate and realizing high-level functional safety; and a drift analysis result is obtained through a drift model, so that the voltage drift condition can be solved by adopting corresponding measures according to the drift analysis result in time, and the safety and reliability are improved.
The voltage drift monitoring device provided by the invention is described below, and the voltage drift monitoring device described below and the voltage drift monitoring method described above can be referred to correspondingly.
Fig. 2 shows a schematic structural diagram of a voltage drift monitoring device, which includes:
The controller 21 inputs the voltage data acquired in advance into the drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on the drift limit value obtained by analysis or detection extraction of the drift influence factors.
In one possible implementation, referring to fig. 3, the controller 21 further comprises an analog-to-digital converter 31 and a register 32, wherein: an analog-to-digital converter 31 that receives a target power supply voltage transmitted by the voltage transmission circuit based on the target power supply, and digitally converts the target power supply voltage to obtain voltage data; a register 32 for receiving and storing the voltage data obtained by the analog-digital converter 31; the drift analysis model 33 acquires voltage data from the register 32, and performs drift analysis on the voltage data to obtain a drift analysis result.
In another possible implementation, referring to fig. 4, the voltage drift monitoring device further comprises an analog-to-digital converter 41, the controller further comprising a register 42, wherein: an analog-to-digital converter 41 that receives a target power supply voltage transmitted by the voltage transmission circuit based on the target power supply, and digitally converts the target power supply voltage to obtain voltage data; a register 42 for receiving and storing the voltage data obtained by the analog-to-digital converter; the drift analysis model 43 acquires voltage data from the register 42, and performs drift analysis on the voltage data to obtain a drift analysis result.
In this embodiment, the drift analysis model includes: the limit value acquisition unit is used for analyzing or detecting the drift influence factors to obtain a drift limit value; the voltage acquisition unit is used for obtaining average voltage based on the voltage characteristics; and the drift analysis unit is used for comparing the average voltage with a pre-acquired drift limit value to obtain a drift analysis result.
In an alternative embodiment, the drift influencing factor comprises at least one of a temperature coefficient, a load current coefficient, an input voltage coefficient, a time coefficient and a margin coefficient, and the limit value obtaining unit obtains the drift limit value based on the drift influencing factor. In an alternative embodiment, the drift influencing factors also include hardware circuit errors, analog-to-digital conversion errors, and the like. Before comparing the average voltage with a preset drift limit value, the influence of factors such as hardware circuit errors, analog-to-digital conversion errors, temperature, time, voltage, load current and the like on voltage drift is comprehensively considered by using a limit value acquisition unit, and after a proper allowance is given, the drift limit value is set so as to improve the accuracy and reliability of a drift analysis result.
In this embodiment, the drift analysis unit includes: the comparison subunit is used for comparing the average voltage with a pre-acquired drift limit value, and if the average voltage exceeds the drift limit value, the drift analysis result is displayed as voltage drift; otherwise, the drift analysis result shows that the voltage is normal. The voltage drift is a phenomenon in which the voltage of the target power supply changes with time or temperature and deviates from the nominal value.
In an alternative embodiment, the apparatus further comprises: and the data acquisition module is used for acquiring the voltage data. Specifically, the data acquisition module includes: a voltage acquisition unit that transmits a voltage analog signal of a target power supply voltage of the acquired target power supply based on the voltage transmission circuit; and the digital conversion unit is used for carrying out digital conversion on the voltage analog signal of the target power supply voltage based on the analog-digital converter to obtain voltage data. The target power supply voltage is subjected to digital conversion so as to obtain voltage data in the form of digital signals, and thus the drift analysis model is convenient to sample. Further, in the data acquisition module, the method further includes: and a data storage unit for storing the voltage data into the register.
In an alternative embodiment, the apparatus further comprises: the indication confirmation module is used for obtaining a drift state indication according to the drift analysis result; and the measure control module adopts corresponding control measures based on the drift state indication. Specifically, if the drift analysis result shows voltage drift, the indication confirmation module confirms that the drift state indication shows that the drift exceeds, and if the drift analysis result shows that the voltage is normal, the indication confirmation module confirms that the drift state indication shows that the drift is normal. Likewise, if the drift state indicates that the display drift exceeds, the measure control module takes control measures; if the drift state indicates that the drift is normal, the measure control module does not take control measures. The control measures include at least one of an enter-safe state measure and a function degradation control measure. Wherein, the function degradation refers to reducing or canceling functions or performances, the safety state control measures generally comprise shutdown, shielding output, manual taking over, standby system taking over and other measures, and the function degradation control measures generally comprise reducing speed, reducing action range, stopping part of functions and other measures.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: processor (processor) 51, communication interface (Communications Interface) 52, memory (memory) 53 and communication bus 54, wherein processor 51, communication interface 52, memory 53 accomplish the communication between each other through communication bus 54. The processor 51 may invoke logic instructions in the memory 53 to perform a voltage drift monitoring method comprising: inputting the pre-acquired voltage data of the target power supply into a drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors of voltage data of a target power supply acquired in real time.
Further, the logic instructions in the memory 53 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing the voltage drift monitoring method provided by the above methods, the method comprising: inputting the pre-acquired voltage data of the target power supply into a drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors of voltage data of a target power supply acquired in real time.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the voltage drift monitoring method provided by the above methods, the method comprising: inputting the pre-acquired voltage data of the target power supply into a drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors of voltage data of a target power supply acquired in real time.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (12)

1. A method for monitoring voltage drift, comprising:
Inputting voltage data of a target power supply obtained in real time into a drift analysis model to obtain a drift analysis result output by the drift analysis model;
The drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors;
the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors of voltage data of a target power supply, which are acquired in real time;
obtaining the drift limit comprises:
the drift influence factors comprise at least one of a temperature coefficient, a load current coefficient, an input voltage coefficient, a time coefficient and a margin coefficient, and a drift limit value is obtained based on the drift influence factors;
the drift limit comprises a drift upper limit and a drift lower limit, wherein:
The drift upper limit value is expressed as:
The drift lower limit value is expressed as:
Wherein x Limit-H represents a drift upper limit value, x Limit-L represents a drift lower limit value, x Nominal represents a theoretical value corresponding to voltage data without drift, K T represents a temperature coefficient, K V represents an input voltage coefficient, K Load represents a load current coefficient, K Hour represents a time coefficient, and is related to the total operating time of the power supply, K Margin represents a margin coefficient, and is defined according to the tolerance degree to drift;
The temperature coefficient is expressed as:
Wherein K T represents a temperature coefficient, T represents a real-time temperature, T REF represents a reference temperature, and V OUT represents an output voltage value;
The voltage coefficient is expressed as:
Wherein K V represents a voltage coefficient, V IN represents an input voltage value, and V OUT represents an output voltage value;
The load current coefficient is expressed as:
Where K Load represents the load electrical output voltage value flow coefficient, I Load represents the load current, and V OUT represents the output voltage value.
2. The method of claim 1, wherein the drift analysis model comprises:
the limit value acquisition layer is used for analyzing or detecting drift influence factors to obtain a drift limit value;
the voltage acquisition layer is used for acquiring average voltage based on the voltage characteristics;
and the drift analysis layer is used for comparing the average voltage with a drift limit value to obtain a drift analysis result.
3. The method of claim 1, further comprising, prior to said inputting the voltage data of the target power source acquired in real time into the drift analysis model:
acquiring a target power supply voltage of a target power supply based on the voltage transfer circuit;
And performing digital conversion on the target power supply voltage based on the analog-digital converter to obtain voltage data.
4. A voltage drift monitoring method according to claim 3, characterized in that after said obtaining voltage data, it comprises: the voltage data is stored into a register.
5. The method according to claim 1, further comprising, after the obtaining the drift analysis result output by the drift analysis model:
Obtaining a drift state indication according to the drift analysis result;
based on the drift state indication, corresponding control measures are adopted.
6. The method of claim 5, wherein said employing corresponding control measures based on said drift state indication comprises:
and indicating that the drift exceeds based on the drift state, and controlling measures.
7. A voltage drift monitoring device, comprising:
The controller inputs the voltage data acquired in advance into the drift analysis model to obtain a drift analysis result output by the drift analysis model; the drift analysis model is obtained based on the selection of an average mode of historical voltage data and the analysis or detection of drift influence factors; the drift analysis model is used for carrying out voltage drift analysis based on a drift limit value obtained by analysis or detection extraction of drift influence factors;
the drift influence factors comprise at least one of a temperature coefficient, a load current coefficient, an input voltage coefficient, a time coefficient and a margin coefficient, and a drift limit value is obtained based on the drift influence factors;
the drift limit comprises a drift upper limit and a drift lower limit, wherein:
The drift upper limit value is expressed as:
The drift lower limit value is expressed as:
Wherein x Limit-H represents a drift upper limit value, x Limit-L represents a drift lower limit value, x Nominal represents a theoretical value corresponding to voltage data without drift, K T represents a temperature coefficient, K V represents an input voltage coefficient, K Load represents a load current coefficient, K Hour represents a time coefficient, and is related to the total operating time of the power supply, K Margin represents a margin coefficient, and is defined according to the tolerance degree to drift;
The temperature coefficient is expressed as:
Wherein K T represents a temperature coefficient, T represents a real-time temperature, T REF represents a reference temperature, and V OUT represents an output voltage value;
The voltage coefficient is expressed as:
Wherein K V represents a voltage coefficient, V IN represents an input voltage value, and V OUT represents an output voltage value;
The load current coefficient is expressed as:
Where K Load represents the load electrical output voltage value flow coefficient, I Load represents the load current, and V OUT represents the output voltage value.
8. The voltage drift monitor device of claim 7, wherein the controller further comprises an analog-to-digital converter and a register, wherein:
the analog-digital converter is used for receiving the target power supply voltage transmitted by the voltage transmission circuit based on the target power supply and performing digital conversion on the target power supply voltage to obtain voltage data;
the register is used for receiving and storing the voltage data obtained by the analog-digital converter;
and the drift analysis model acquires the voltage data from the register and carries out drift analysis on the voltage data to obtain a drift analysis result.
9. The voltage drift monitoring device of claim 7, further comprising an analog-to-digital converter, the controller further comprising a register, wherein:
the analog-digital converter is used for receiving the target power supply voltage transmitted by the voltage transmission circuit based on the target power supply and performing digital conversion on the target power supply voltage to obtain voltage data;
the register is used for receiving and storing the voltage data obtained by the analog-digital converter;
and the drift analysis model acquires the voltage data from the register and carries out drift analysis on the voltage data to obtain a drift analysis result.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the voltage drift monitoring method according to any one of claims 1 to 6 when the program is executed by the processor.
11. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the voltage drift monitoring method according to any one of claims 1 to 6.
12. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the voltage drift monitoring method according to any one of claims 1 to 6.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112347416A (en) * 2020-10-30 2021-02-09 交控科技股份有限公司 Concept drift detection method and device for current data of turnout switch machine
CN113212429A (en) * 2021-05-13 2021-08-06 际络科技(上海)有限公司 Automatic driving vehicle safety control method and device

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6316991B1 (en) * 2000-03-29 2001-11-13 Cirrus Logic, Inc. Out-of-calibration circuits and methods and systems using the same
CN101594140A (en) * 2009-06-18 2009-12-02 浙江大学 A kind of method for temperature drift compensation of film body acoustic wave oscillator and circuit
US9645177B2 (en) * 2012-05-04 2017-05-09 Seagate Technology Llc Retention-drift-history-based non-volatile memory read threshold optimization
CN103941080B (en) * 2013-12-24 2019-01-18 上海大郡动力控制技术有限公司 The method of electric machine phase current temperature drift is eliminated in real time
US9557756B2 (en) * 2015-02-10 2017-01-31 Infineon Technologies Ag Bias drift compensation
CN106199166A (en) * 2016-07-11 2016-12-07 深圳市知用电子有限公司 A kind of method and device of current measurement
KR20200117374A (en) * 2019-04-04 2020-10-14 에스케이하이닉스 주식회사 Nonvolatile memory apparatus, operating method thereof, and system using the same
CN112667967B (en) * 2020-12-19 2024-02-09 华中科技大学 Data preprocessing method and device for zero drift of output voltage

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112347416A (en) * 2020-10-30 2021-02-09 交控科技股份有限公司 Concept drift detection method and device for current data of turnout switch machine
CN113212429A (en) * 2021-05-13 2021-08-06 际络科技(上海)有限公司 Automatic driving vehicle safety control method and device

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