A power backup control system for equipment power failure

Abstract

The present invention discloses a power backup control system for power failure of equipment, which relates to the field of power control technology. An abnormal value marking module obtains multiple characteristic parameters of each component within a monitoring time period, and a power failure prediction module generates an abnormal index of the power supply in combination with the abnormal value information of each component. The abnormal index is substituted into a fault prediction model to predict whether a fault will occur if the power supply continues to operate. When it is predicted that a fault will occur if the power supply continues to operate, the dynamic control module first controls the backup power supply to supply power to the equipment, and then controls the power supply to stop operating and sends maintenance information to the administrator. The system can predict the fault of the power supply in combination with the operating status of multiple components during the power supply process, so as to switch the backup power supply and shut down the power supply in time before the power supply fails. This not only effectively avoids the spread of the power supply fault, but also switches the backup power supply when the power supply is not disconnected, further ensuring the stability of the power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply control, and in particular to a power supply backup control system for equipment power failure. Background Art

[0002] A control system is a system used to ensure that equipment can run smoothly when power is lost. It usually consists of a backup power supply (such as UPS, batteries, etc.) and a control system. It can automatically switch to the backup power supply when a power failure occurs to ensure continuous power supply to the equipment.

[0003] The prior art has the following deficiencies:

[0004] Existing control systems usually monitor the power supply in use and automatically switch to the backup power supply only when the power supply fails. However, when the power supply fails, the power supply may be directly disconnected. When the control system is used in places with high requirements for power reliability (such as data centers, hospitals, communication base stations, etc.), even a short power outage may cause serious losses or impacts;

[0005] Based on this, the present invention proposes a power backup control system for power failure of the equipment, which can predict the fault of the power supply in use by combining the operating status of multiple components during the power supply process, so as to switch the backup power supply and shut down the power supply in time before the power supply fails. It not only effectively avoids the spread of the power supply failure, but also switches the backup power supply when the power supply is not disconnected, further ensuring the stability of power supply. Summary of the invention

[0006] The purpose of the present invention is to provide a power backup control system for equipment power failure, so as to solve the shortcomings of the background technology.

[0007] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a power backup control system for equipment power failure, comprising a component parameter monitoring module, an abnormal value marking module, a power failure prediction module, a dynamic control module, and a maintenance management module;

[0008] Component parameter monitoring module: obtains the number of components in the power supply and the information of each component, including the component name and component function. During the operation of the power supply, the characteristic parameters of each component are monitored in real time;

[0009] Abnormal value marking module: when the characteristic parameters of each component are within the stable range, multiple characteristic parameters of each component within the monitoring period are obtained, and after the multiple characteristic parameters are standardized, the Z value of each characteristic parameter is obtained, and the characteristic parameter whose absolute value of the Z value is greater than the Z threshold is marked as abnormal;

[0010] Power supply fault prediction module: Combines the abnormal value information of each component to generate an abnormal index for the power supply, and substitutes the abnormal index into the fault prediction model to predict whether a fault will occur if the power supply continues to operate;

[0011] Dynamic control module: When it is predicted that a failure will occur if the power supply continues to operate, the backup power supply is controlled to supply power to the equipment first, and then the power supply is controlled to stop operating and a maintenance message is sent to the administrator;

[0012] Maintenance management module: Regularly obtain the on / off control status of all power supplies when they are in operation, and determine whether maintenance management of all power supplies is required based on the on / off control status of all power supplies.

[0013] In a preferred embodiment, the component parameter monitoring module obtains the number of components in the power supply and information of each component, and the components include an input end, an input filter, a rectifier, a DC capacitor, an inverter, an output end, an output filter, and a protection device:

[0014] In addition, the component parameter monitoring module monitors the characteristic parameters of each component in real time during the operation of the power supply, including the current value at the input end, the impedance of the input filter, the temperature of the rectifier, the voltage value of the DC capacitor, the output frequency of the inverter, the current value at the output end, the voltage value of the output filter, and the actuator jitter of the protection device.

[0015] In a preferred embodiment, the logic of the abnormal value marking module for standardizing multiple characteristic parameters is as follows: multiple characteristic parameters of the component are obtained within the monitoring period, the characteristic parameters are used to establish a parameter set, the average value and standard deviation in the parameter set are first calculated, and then the Z value of each characteristic parameter in the parameter set is calculated. The expression is: In the formula, Z(i) represents the Z value of the i-th characteristic parameter in the parameter set, x i represents the i-th characteristic parameter value in the parameter set, μ represents the mean value in the parameter set, and σ represents the standard deviation in the parameter set.

[0016] In a preferred embodiment, after the abnormal value marking module obtains the Z value of all characteristic parameters in the component parameter set, the absolute value of the Z value of each characteristic parameter is compared with the Z threshold. The Z threshold is used to determine which characteristic parameters in the parameter set are abnormal. If the absolute value of the Z value of the characteristic parameter is less than or equal to the Z threshold, the characteristic parameter is judged to be normal and is not marked. If the absolute value of the Z value of the characteristic parameter is greater than the Z threshold, the characteristic parameter is judged to be abnormal and is marked.

[0017] In a preferred embodiment, the power supply fault prediction module obtains the number of abnormal value marks of each component, and sums the number of abnormal values ​​of all components to obtain an abnormal index, which is expressed as: Where Y s is the abnormality index, n represents the number of all parts, yc a Indicates the number of outliers in the a-th component.

[0018] In a preferred embodiment, the power supply fault prediction module obtains the absolute value of the Z value of each component marked as an abnormal characteristic parameter, and sums the absolute values ​​of the Z values ​​of all components marked as abnormal characteristic parameters to obtain an abnormal index, which is expressed as: Where Y s is the abnormal index, n represents the number of all parts, Zm a Indicates the absolute value of the Z value of the feature parameter that marks the ath component as abnormal.

[0019] In a preferred embodiment, when the abnormality index is calculated by the number of abnormal value marks, the power supply fault prediction module compares the abnormality index with the quantity threshold, and the quantity threshold is used to determine the number of abnormal values ​​of all components. If the abnormality index is greater than the quantity threshold, it is determined that the number of abnormal values ​​of all components is large, and it is predicted that the power supply will continue to operate and a fault will occur; if the abnormality index is less than or equal to the quantity threshold, it is determined that the number of abnormal values ​​of all components is small, and it is predicted that the power supply will continue to operate and no fault will occur;

[0020] When the abnormal index is calculated by the absolute value of the Z value of the abnormal characteristic parameter, the power supply fault prediction module compares the abnormal index with the index threshold. The index threshold is used to determine the size of the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components. If the abnormal index is greater than the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is large, and it is predicted that a fault will occur if the power supply continues to operate. If the abnormal index is less than or equal to the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is small, and it is predicted that no fault will occur if the power supply continues to operate.

[0021] A power backup control method for a device when power is off, the control method comprising the following steps:

[0022] The control system obtains the number of components in the power supply and the information of each component, the component information includes the component name and component function. During the operation of the power supply, the control system monitors the characteristic parameters of each component in real time;

[0023] When the characteristic parameters of each component are within the stable range, multiple characteristic parameters of each component within the monitoring period are obtained, and after the multiple characteristic parameters are standardized, the Z value of each characteristic parameter is obtained, and the characteristic parameter whose absolute value of the Z value is greater than the Z threshold is marked as abnormal;

[0024] Combine the abnormal value information of each component to generate the abnormal index of the power supply, substitute the abnormal index into the fault prediction model to predict whether the power supply will fail if it continues to run. When it is predicted that the power supply will fail if it continues to run, the control system first controls the backup power supply to supply power to the equipment, then controls the power supply to stop running and sends maintenance information to the administrator;

[0025] Regularly obtain the disconnection control status of all power supplies when they are in operation, and determine whether maintenance management of all power supplies is required based on the disconnection control status of all power supplies.

[0026] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0027] 1. The present invention uses a component parameter monitoring module to monitor the characteristic parameters of each component in real time during the operation of the power supply. When the characteristic parameters of each component are within a stable range, the abnormal value marking module obtains multiple characteristic parameters of each component within the monitoring time period, and after standardizing the multiple characteristic parameters, obtains the Z value of each characteristic parameter, and marks the characteristic parameter whose absolute value of the Z value is greater than the Z threshold as abnormal. The power failure prediction module generates an abnormal index for the use of the power supply in combination with the abnormal value information of each component, and substitutes the abnormal index into the fault prediction model to predict whether the use of the power supply will fail if it continues to run. When it is predicted that the use of the power supply will fail if it continues to run, the dynamic control module first controls the backup power supply to power the equipment, and then controls the use of the power supply to stop running and send maintenance information to the administrator. This can predict the fault of the use of the power supply in combination with the operating status of multiple components during the use of the power supply, so as to switch the backup power supply and shut down the use of the power supply in time before the use of the power supply fails, which not only effectively avoids the spread of the use of the power supply failure, but also switches the backup power supply when the power supply is not disconnected, further ensuring the stability of the power supply;

[0028] 2. The present invention periodically obtains the on / off control status of all power supplies during operation through the maintenance management module, and determines whether maintenance management of all power supplies is required based on the on / off control status of all power supplies. Compared with the existing method of manually setting the management period, it effectively avoids untimely management due to insufficient management of all power supplies and waste of management resources due to excessive management of all power supplies, thereby improving the management efficiency of all power supplies. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0030] Figure 1It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Example 1: Please refer to Figure 1 As shown, a power backup control system for a device power failure described in this embodiment includes a component parameter monitoring module, an abnormal value marking module, a power failure prediction module, a dynamic control module, and a maintenance management module;

[0033] Component parameter monitoring module: obtains the number of components in the power supply and the information of each component, including the component name and component function. During the operation of the power supply, the characteristic parameters of each component are monitored in real time, and the characteristic parameter monitoring results are sent to the abnormal value marking module;

[0034] Abnormal value marking module: when the characteristic parameters of each component are within the stable range, multiple characteristic parameters of each component within the monitoring period are obtained, and after the multiple characteristic parameters are standardized, the Z value of each characteristic parameter is obtained, and the characteristic parameter with an absolute value of Z value greater than the Z threshold is marked as abnormal, and the abnormal value information is sent to the power supply fault prediction module;

[0035] Power supply fault prediction module: Combines the abnormal value information of each component to generate an abnormal index of power supply usage, substitutes the abnormal index into the fault prediction model to predict whether a fault will occur if the power supply continues to operate, and sends the prediction result to the dynamic control module;

[0036] Dynamic control module: When it is predicted that a failure will occur if the power supply continues to operate, the backup power supply is controlled to supply power to the equipment first, and then the power supply is controlled to stop operating and send maintenance information to the administrator, and the power supply disconnection control status is sent to the maintenance management module;

[0037] Maintenance management module: Regularly obtain the on / off control status of all power supplies when they are in operation, and determine whether maintenance management of all power supplies is required based on the on / off control status of all power supplies.

[0038] This application uses a component parameter monitoring module to monitor the characteristic parameters of each component in real time during the operation of the power supply. When the characteristic parameters of each component are within a stable range, the abnormal value marking module obtains multiple characteristic parameters of each component within the monitoring time period, and after standardizing the multiple characteristic parameters, obtains the Z value of each characteristic parameter, and marks the characteristic parameter whose absolute value of the Z value is greater than the Z threshold as abnormal. The power failure prediction module combines the abnormal value information of each component to generate an abnormal index for the use of the power supply, and substitutes the abnormal index into the fault prediction model to predict whether the use of the power supply will fail if it continues to run. When it is predicted that the use of the power supply will fail if it continues to run, the dynamic control module first controls the backup power supply to power the equipment, and then controls the use of the power supply to stop running and send maintenance information to the administrator. This can predict the fault of the use of the power supply in combination with the operating status of multiple components during the use of the power supply, so as to switch the backup power supply and shut down the use of the power supply in time before the use of the power supply fails, which not only effectively avoids the spread of the use of the power supply failure, but also switches the backup power supply when the power supply is not disconnected, further ensuring the stability of the power supply.

[0039] This application uses a maintenance management module to regularly obtain the on / off control status of all power supplies when they are in operation, and determines whether maintenance management of all power supplies is required based on the on / off control status of all power supplies. Compared with the existing method of manually setting management deadlines, this application effectively avoids untimely management due to insufficient management of all power supplies and waste of management resources due to excessive management of all power supplies, thereby improving the management efficiency of all power supplies.

[0040] The specific process of the control system is:

[0041] The control system obtains the number of components in the power supply and information about each component. The component information includes the component name and component function. During the operation of the power supply, the control system monitors the characteristic parameters of each component in real time. When the characteristic parameters of each component are within a stable range, multiple characteristic parameters of each component within the monitoring time period are obtained. After standardization of the multiple characteristic parameters, the Z value of each characteristic parameter is obtained, and the characteristic parameter whose absolute value of the Z value is greater than the Z threshold is marked as abnormal. The abnormal index of the power supply is generated in combination with the abnormal value information of each component, and the abnormal index is substituted into the fault prediction model to predict whether a fault will occur if the power supply continues to operate. When it is predicted that a fault will occur if the power supply continues to operate, the control system first controls the backup power supply to supply power to the equipment, and then controls the power supply to stop running and sends maintenance information to the administrator. The on-off control status of all power supplies when they are in operation is regularly obtained, and it is determined whether all power supplies need to be maintained and managed based on the on-off control status of all power supplies.

[0042] Generally speaking, the main components of a power supply include input end, input filter, rectifier, DC capacitor, inverter, output end, output filter, and protection device:

[0043] 1) Input: The input receives power from the grid or other power sources, usually AC power, which may have different voltage levels, such as the common 220V / 110V AC in households;

[0044] 2) Input filter: The input filter is used to filter out high-frequency noise and interference in the input power to ensure stable power input;

[0045] 3) Rectifier: A rectifier converts AC power into DC power. Rectifiers are usually used to convert AC power into the required DC voltage for use by equipment.

[0046] 4) DC capacitor: DC capacitor is used to store charge and smooth the output voltage to ensure the stability of the output voltage;

[0047] 5) Inverter: Inverter converts DC power to AC power, sometimes also called AC / DC inverter. Inverter is indispensable in devices that require AC power.

[0048] 6) Output: The output end of the power supply provides the converted electrical energy to the device for use. This may be DC output or AC output, depending on the needs of the device;

[0049] 7) Output filter: The output filter is used to filter out high-frequency noise and interference in the output power supply to ensure the stable operation of the power supply equipment;

[0050] 8) Protection devices: Protection devices include overload protection, overvoltage protection, undervoltage protection, etc., which are used to protect the power supply system and power supply equipment from potential damage.

[0051] Embodiment 2: The component parameter monitoring module obtains the number of components in the power supply and the information of each component, the component information includes the component name and component function, and monitors the characteristic parameters of each component in real time during the operation of the power supply;

[0052] The component parameter monitoring module obtains the number of components in the power supply and the information of each component, and the component information includes the component name and component function;

[0053] The main components of the power supply include input end, input filter, rectifier, DC capacitor, inverter, output end, output filter, and protection device:

[0054] 1) Input: The input receives power from the grid or other power sources, usually AC power, which may have different voltage levels, such as the common 220V / 110V AC in households;

[0055] 2) Input filter: The input filter is used to filter out high-frequency noise and interference in the input power to ensure stable power input;

[0056] 3) Rectifier: A rectifier converts AC power into DC power. Rectifiers are usually used to convert AC power into the required DC voltage for use by equipment.

[0057] 4) DC capacitor: DC capacitor is used to store charge and smooth the output voltage to ensure the stability of the output voltage;

[0058] 5) Inverter: Inverter converts DC power to AC power, sometimes also called AC / DC inverter. Inverter is indispensable in devices that require AC power.

[0059] 6) Output: The output end of the power supply provides the converted electrical energy to the device for use. This may be DC output or AC output, depending on the needs of the device;

[0060] 7) Output filter: The output filter is used to filter out high-frequency noise and interference in the output power supply to ensure the stable operation of the power supply equipment;

[0061] 8) Protection devices: Protection devices include overload protection, overvoltage protection, undervoltage protection, etc., which are used to protect the power supply system and power supply equipment from potential damage.

[0062] During the operation of the power supply, the characteristic parameters of each component are monitored in real time, including the current value at the input end, the impedance of the input filter, the temperature of the rectifier, the voltage value of the DC capacitor, the output frequency of the inverter, the current value at the output end, the voltage value of the output filter, and the jitter rate of the actuator of the protection device.

[0063] When the characteristic parameters of each component are within the stable range, the abnormal value marking module obtains multiple characteristic parameters of each component within the monitoring period, obtains the Z value of each characteristic parameter after standardization, and marks the characteristic parameter whose absolute value of the Z value is greater than the Z threshold as abnormal;

[0064] The current value at the input end, overload or short circuit of the input power line may cause the power supply to malfunction, or even cause overheating, circuit damage and other problems;

[0065] The impedance of the input filter, poor impedance matching of the input filter, etc., may lead to poor filtering effect and failure to filter out interference within a specific frequency range, thus affecting the stability and reliability of the power supply system;

[0066] The temperature of the rectifier. When the rectifier works for a long time or the ambient temperature is too high, it may cause the rectifier to overheat, causing the rectifier performance to decline, or even damage the rectifier components, causing the power system to malfunction;

[0067] The voltage value of the DC capacitor. If the voltage is too high, the capacitor may break down, causing gas or arc to form at the internal breakdown point, damaging the capacitor structure, or even causing a fire or explosion. This will cause the power system to fail and may cause serious safety problems;

[0068] The output frequency of the inverter. When the AC voltage frequency output by the inverter does not match the frequency required by the equipment, it may affect the stability and reliability of the power supply system, causing abnormal operation or damage to the equipment;

[0069] The current value at the output end, overload or short circuit of the output power line may cause the power supply to malfunction, or even cause overheating, circuit damage and other problems;

[0070] The voltage value of the output filter. If the output filter cannot provide a stable output voltage, it may affect the normal operation of the connected equipment. This may be caused by filter element failure or load changes.

[0071] The jitter rate of the actuator of the protection device. If the jitter rate of the actuator of the protection device is too large, there may be a problem of actuator looseness. The actuator may malfunction due to environmental interference, electromagnetic interference or circuit failure, that is, it may erroneously cut off the power supply or perform other protection actions without a real fault. Misoperation will cause the power supply system to stop operating or production to be interrupted.

[0072] In summary, when the monitored input current value, input filter impedance, rectifier temperature, DC capacitor voltage value, inverter output frequency, output current value, output filter voltage value, and protection device actuator jitter rate are all within a stable range, it indicates that under the single characteristic parameter monitoring state, no fault occurs when using the power supply.

[0073] The abnormal value marking module obtains multiple characteristic parameters of each component within the monitoring period, obtains the Z value of each characteristic parameter after standardization, and marks the characteristic parameter whose absolute value of the Z value is greater than the Z threshold as abnormal;

[0074] Among them, the logic of the outlier marking module for standardizing multiple characteristic parameters is as follows: multiple characteristic parameters of the component are obtained within the monitoring period, the characteristic parameters are established into a parameter set, the mean value and standard deviation in the parameter set are calculated first, and then the Z value of each characteristic parameter in the parameter set is calculated. The expression is: In the formula, Z(i) represents the Z value of the i-th characteristic parameter in the parameter set, xi represents the i-th characteristic parameter value in the parameter set, μ represents the average value in the parameter set, σ represents the standard deviation in the parameter set, and the calculation method of the average value and the standard deviation belongs to the prior art and will not be described in detail in this application;

[0075] After the outlier marking module obtains the Z values ​​of all feature parameters in the component parameter set, it compares the absolute value of the Z value of each feature parameter with the Z threshold. The Z threshold is used to determine which feature parameters in the parameter set are abnormal. If the absolute value of the Z value of the feature parameter is less than or equal to the Z threshold, the feature parameter is judged to be normal and is not marked. If the absolute value of the Z value of the feature parameter is greater than the Z threshold, the feature parameter is judged to be abnormal and is marked.

[0076] By obtaining multiple characteristic parameters of the components during the monitoring period and calculating the Z value, the Z threshold is used to determine which features are abnormal. Although the characteristic parameters marked as abnormal are still within the stable range, they are represented as outlier characteristic parameters, that is, the characteristic parameters may be parameters close to the stable range.

[0077] For example, in this embodiment, the current value of the input terminal is taken as an example;

[0078] Assume that five current values ​​are obtained during the monitoring period, namely 8A, 9A, 10A, 11A, and 13A, and the Z value calculation formula is used to calculate:

[0079] The average value is 10.2A and the standard deviation is 1.97;

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] In this example, the Z threshold is 1.2. After calculating the Z values ​​of 8A, 9A, 10A, 11A, and 13A, we find that the absolute value of the Z value of 13A is greater than 1.2. Therefore, 13A is marked as an anomaly.

[0086] The calculation method and comparison method for the input filter impedance, the rectifier temperature, the DC capacitor voltage value, the inverter output frequency, the output current value, the output filter voltage value, and the actuator jitter rate of the protection device are the same as above and will not be elaborated here.

[0087] The power supply fault prediction module combines the abnormal value information of each component to generate an abnormal index of the power supply, and substitutes the abnormal index into the fault prediction model to predict whether a fault will occur if the power supply continues to operate;

[0088] In actual application, we found that when there are many abnormal values ​​in multiple components, there is a possibility of fault in the power supply. When multiple components are marked as abnormal and the absolute value of the characteristic parameter Z value is large, there is also a possibility of fault in the power supply.

[0089] Therefore, we give two methods to calculate the anomaly index:

[0090] Calculation method 1:

[0091] Get the number of outlier marks for each component, and sum the number of outliers for all components to get the outlier index. The expression is: Where Y s is the abnormality index, n represents the number of all parts, yc a represents the number of outliers in the a-th component;

[0092] Calculation method 2:

[0093] Get the absolute value of the Z value of each component marked as an abnormal feature parameter, and sum the absolute values ​​of the Z values ​​of all components marked as abnormal feature parameters to obtain the abnormal index. The expression is: Where Y s is the abnormal index, n represents the number of all parts, Zm a Indicates the absolute value of the Z value of the feature parameter that marks the ath component as abnormal;

[0094] In calculation method 1, the situation where there are a large number of outliers is mainly considered, that is, a few components have multiple outliers or multiple components have outliers, which may still cause the power supply to malfunction;

[0095] In calculation method 2, the absolute value of the Z value of the abnormal characteristic parameter is mainly considered. When the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of multiple components are all large, it may also cause a power failure.

[0096] When the abnormality index is calculated by the number of abnormal value marks, the power supply fault prediction module compares the abnormality index with the preset quantity threshold. The quantity threshold is used to determine the number of abnormal values ​​of all components. If the abnormality index is greater than the quantity threshold, it is determined that the number of abnormal values ​​of all components is large, and it is predicted that the power supply will continue to operate without failure. If the abnormality index is less than or equal to the quantity threshold, it is determined that the number of abnormal values ​​of all components is small, and it is predicted that the power supply will continue to operate without failure.

[0097] When the abnormal index is calculated by the absolute value of the Z value of the abnormal characteristic parameter, the power supply fault prediction module compares the abnormal index with the preset index threshold. The index threshold is used to determine the size of the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components. If the abnormal index is greater than the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is large, and it is predicted that a fault will occur if the power supply continues to operate. If the abnormal index is less than or equal to the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is small, and it is predicted that no fault will occur if the power supply continues to operate.

[0098] When it is predicted that a failure will occur if the power supply continues to operate, the dynamic control module first controls the backup power supply to supply power to the equipment, then controls the power supply to stop operating and sends maintenance information to the administrator;

[0099] In this application, the power supply currently supplying power to the device is the working power supply, and other idle power supplies are all standby power supplies, which are converted into working power supplies when the standby power supplies are put into use.

[0100] Embodiment 3: The maintenance management module periodically obtains the disconnection control status of all power supplies when they are in operation, and determines whether maintenance management of all power supplies is required according to the disconnection control status of all power supplies;

[0101] The maintenance management module periodically obtains the number of all power supplies that have run in history, and establishes a power supply set for all power supplies that have run, obtains the historical operation times of each power supply in the power supply set, sums the historical operation times of all power supplies to obtain the total operation times, and obtains the shutdown times of all power supplies during their historical operation (the dynamic control module first controls the backup power supply to power the equipment, and then controls the used power supply to stop running. One stop is one shutdown), sums the historical shutdown times of all power supplies to obtain the total shutdown times, and divides the total shutdown times by the total operation times to obtain the maintenance value. The larger the maintenance value, the more times all power supplies have been shut down in history. Therefore, the maintenance value is compared with the preset maintenance threshold. If the maintenance value is greater than the maintenance threshold, the maintenance management module determines that maintenance management is required for all power supplies and sends the judgment result to the administrator.

[0102] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0103] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0104] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0105] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0106] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A power backup control system for equipment power failure, characterized in that: It includes component parameter monitoring module, abnormal value marking module, power failure prediction module, dynamic control module and maintenance management module; Component parameter monitoring module: obtains the number of components in the power supply and the information of each component, including the component name and component function. During the operation of the power supply, the characteristic parameters of each component are monitored in real time; Abnormal value marking module: when the characteristic parameters of each component are within the stable range, multiple characteristic parameters of each component within the monitoring period are obtained, and after the multiple characteristic parameters are standardized, the Z value of each characteristic parameter is obtained, and the characteristic parameter whose absolute value of the Z value is greater than the Z threshold is marked as abnormal; Power supply fault prediction module: Combines the abnormal value information of each component to generate an abnormal index for the power supply, and substitutes the abnormal index into the fault prediction model to predict whether a fault will occur if the power supply continues to operate; Dynamic control module: When it is predicted that a failure will occur if the power supply continues to operate, the backup power supply is controlled to supply power to the equipment first, and then the power supply is controlled to stop operating and a maintenance message is sent to the administrator; Maintenance management module: regularly obtain the on / off control status of all power supplies when they are in operation, and determine whether maintenance management of all power supplies is required based on the on / off control status of all power supplies; The power failure prediction module obtains the number of abnormal value marks of each component, and sums the number of abnormal values ​​of all components to obtain the abnormal index, which is expressed as: Where Y s is the abnormality index, n represents the number of all parts, yc a represents the number of outliers in the a-th component; The power supply fault prediction module obtains the absolute value of the Z value of each component marked as an abnormal characteristic parameter, and sums the absolute values ​​of the Z values ​​of all components marked as abnormal characteristic parameters to obtain an abnormal index, which is expressed as: Where Y s is the abnormal index, n represents the number of all parts, Zm a Indicates the absolute value of the Z value of the feature parameter that marks the ath component as abnormal; When the abnormality index is calculated by the number of abnormal value marks, the power supply fault prediction module compares the abnormality index with the quantity threshold. The quantity threshold is used to determine the number of abnormal values ​​of all components. If the abnormality index is greater than the quantity threshold, it is determined that the number of abnormal values ​​of all components is large, and it is predicted that the power supply will continue to operate and a fault will occur. If the abnormality index is less than or equal to the quantity threshold, it is determined that the number of abnormal values ​​of all components is small, and it is predicted that the power supply will continue to operate and no fault will occur. When the abnormal index is calculated by the absolute value of the Z value of the abnormal characteristic parameter, the power supply fault prediction module compares the abnormal index with the index threshold. The index threshold is used to determine the size of the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components. If the abnormal index is greater than the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is large, and it is predicted that a fault will occur if the power supply continues to operate. If the abnormal index is less than or equal to the index threshold, it is determined that the sum of the absolute values ​​of the Z values ​​of the abnormal characteristic parameters of all components is small, and it is predicted that no fault will occur if the power supply continues to operate.

2. A power backup control system for equipment power failure according to claim 1, characterized in that: The component parameter monitoring module obtains the number of components in the power supply and information of each component, and the components include input end, input filter, rectifier, DC capacitor, inverter, output end, output filter, and protection device: In addition, the component parameter monitoring module monitors the characteristic parameters of each component in real time during the operation of the power supply, including the current value at the input end, the impedance of the input filter, the temperature of the rectifier, the voltage value of the DC capacitor, the output frequency of the inverter, the current value at the output end, the voltage value of the output filter, and the actuator jitter of the protection device.

3. A power backup control system for equipment power failure according to claim 2, characterized in that: The logic of the abnormal value marking module for standardizing multiple characteristic parameters is as follows: multiple characteristic parameters of the component are obtained within the monitoring period, the characteristic parameters are used to establish a parameter set, the average value and standard deviation in the parameter set are first calculated, and then the Z value of each characteristic parameter in the parameter set is calculated. The expression is: In the formula, Z(i) represents the Z value of the i-th characteristic parameter in the parameter set, x i represents the i-th characteristic parameter value in the parameter set, μ represents the mean value in the parameter set, and σ represents the standard deviation in the parameter set.

4. A power backup control system for equipment power failure according to claim 3, characterized in that: After the abnormal value marking module obtains the Z values ​​of all characteristic parameters in the component parameter set, the absolute value of the Z value of each characteristic parameter is compared with the Z threshold. The Z threshold is used to determine which characteristic parameters in the parameter set are abnormal. If the absolute value of the Z value of the characteristic parameter is less than or equal to the Z threshold, the characteristic parameter is judged to be normal and is not marked. If the absolute value of the Z value of the characteristic parameter is greater than the Z threshold, the characteristic parameter is judged to be abnormal and is marked.

5. A power backup control method for a device when power is off, implemented by the control system according to any one of claims 1 to 4, characterized in that: The control method comprises the following steps: The control system obtains the number of components in the power supply and the information of each component, the component information includes the component name and component function. During the operation of the power supply, the control system monitors the characteristic parameters of each component in real time; When the characteristic parameters of each component are within the stable range, multiple characteristic parameters of each component within the monitoring period are obtained, and after the multiple characteristic parameters are standardized, the Z value of each characteristic parameter is obtained, and the characteristic parameter whose absolute value of the Z value is greater than the Z threshold is marked as abnormal; Combine the abnormal value information of each component to generate the abnormal index of the power supply, substitute the abnormal index into the fault prediction model to predict whether the power supply will fail if it continues to run. When it is predicted that the power supply will fail if it continues to run, the control system first controls the backup power supply to supply power to the equipment, then controls the power supply to stop running and sends maintenance information to the administrator; Regularly obtain the disconnection control status of all power supplies when they are in operation, and determine whether maintenance management of all power supplies is required based on the disconnection control status of all power supplies.

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