An online safe UPS power supply abnormality monitoring system

Abstract

The present invention relates to the technical field of power supply monitoring, and in particular to an online safe UPS power supply abnormality monitoring system; obtaining a battery failure probability according to the difference characteristics of current data of different UPS power supplies; obtaining an overall voltage characteristic value according to the distribution characteristics of voltage data in all UPS power supplies and the battery failure probability; obtaining a voltage deviation value according to the difference characteristics of battery voltage data and the overall voltage characteristic value; obtaining a battery voltage abnormality according to the difference characteristics of the voltage deviation value of the battery in the UPS power supply; obtaining a comprehensive abnormality degree of the battery according to the battery failure probability and the battery voltage abnormality of different UPS power supplies. The present invention obtains the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; and monitors the battery state according to the final abnormality degree, thereby improving the monitoring accuracy.

Description

Technical Field

[0001] The invention relates to the technical field of power supply monitoring, and in particular to an online safe UPS power supply abnormality monitoring system. Background Art

[0002] UPS is a power supply device that can continuously supply high-quality power without interruption due to short power outages. UPS can isolate the interference of grid voltage fluctuations and harmonic disturbances on the load, thereby ensuring high-quality power supply to the load. When the UPS is working continuously, individual batteries may have performance degradation, storage capacity cannot meet the requirements and fail, and other batteries may age faster. Therefore, it is necessary to monitor the batteries in the UPS to ensure that the batteries are in normal condition.

[0003] Traditional UPS power monitoring compares battery operating parameters with preset battery operating parameters. However, due to the influence of unstable factors in the power grid and the imbalance of charging and discharging during use, some batteries may have low voltages within a certain period of time, thereby judging some batteries with normal performance as abnormal, affecting the accuracy of UPS power monitoring. Summary of the invention

[0004] In order to solve the technical problem that the battery status monitoring is performed by comparing the battery operating parameters with the preset battery operating parameters, resulting in low monitoring accuracy, the purpose of the present invention is to provide an online safe UPS power supply abnormality monitoring system, and the technical solution adopted is as follows:

[0005] A data acquisition module is used to acquire current data and voltage data of each battery in the UPS power supply;

[0006] A data analysis module is used to obtain the battery failure probability according to the difference characteristics of the current data between different UPS power supplies; obtain the overall voltage characteristic value according to the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability; and obtain the battery voltage deviation value according to the difference characteristics between the battery voltage data and the overall voltage characteristic value;

[0007] A feature processing module is used to obtain the battery voltage abnormality according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply; and to obtain the comprehensive abnormality degree of the battery according to the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery;

[0008] The power supply monitoring module is used to obtain the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; and monitor the battery status according to the final abnormality degree.

[0009] Furthermore, the step of obtaining the battery failure probability according to the difference characteristics of the current data between different UPS power supplies includes:

[0010] Calculate the average value of the current data of all UPS power supplies to obtain the overall current characteristic value; calculate the square of the difference between the current data of the UPS power supply and the overall current characteristic value to obtain the current difference characteristic value of the UPS power supply; calculate the sum of the current difference characteristic values ​​of all UPS power supplies to obtain the overall current difference value; calculate the ratio of the current difference characteristic value to the overall current difference value to obtain the battery failure probability of the UPS power supply.

[0011] Furthermore, the step of obtaining the overall voltage characteristic value according to the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability includes:

[0012] Calculate the proportion of voltage data of any numerical value type of the battery in all voltage data to obtain the probability characteristic value of the voltage data of any numerical value type; negatively correlate the battery failure probability of the UPS power supply of the battery corresponding to the voltage data of any numerical value type and calculate the average value of the ratio with the historical comprehensive abnormality degree to obtain the probability correction coefficient of the voltage data of any numerical value type; calculate the product of the probability characteristic value and the probability correction coefficient to obtain the corrected probability value of the voltage data of any numerical value type;

[0013] The voltage data corresponding to the maximum value of the corrected probability value is used as the overall voltage characteristic value.

[0014] Further, the step of obtaining the voltage deviation value of the battery according to the difference characteristics between the voltage data of the battery and the overall voltage characteristic value includes:

[0015] The absolute value of the difference between the voltage data of the battery and the overall voltage characteristic value is calculated to obtain the voltage deviation value of the battery.

[0016] Furthermore, the step of obtaining the battery voltage abnormality according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply includes:

[0017] The average value of the absolute value of the difference between the voltage deviation values ​​of any battery and other batteries in the same UPS power supply is calculated to obtain the battery deviation discrete value of the arbitrary battery; the voltage deviation value of the arbitrary battery and the sum of the battery deviation discrete value are calculated to obtain the battery voltage abnormality of the arbitrary battery.

[0018] Furthermore, the step of obtaining the comprehensive abnormality degree of the battery according to the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery includes:

[0019] A UPS power supply with a battery failure probability less than a preset failure threshold is used as a reference power supply; the average value of the battery voltage abnormality of all batteries in any reference power supply is calculated to obtain an average voltage abnormality characterization value; the difference between the constant 1 and the battery failure probability of the reference power supply is calculated to obtain the contribution of the reference power supply; the sum of the contributions of all reference power supplies is calculated to obtain a cumulative contribution value; the ratio of the contribution to the cumulative contribution value is calculated to obtain a contribution weight; the cumulative sum of the product of the average voltage abnormality characterization value of all reference power supplies and the contribution weight is calculated to obtain an overall abnormality characteristic value; the absolute value of the difference between the battery voltage abnormality of any battery and the overall abnormality characteristic value is calculated and normalized to obtain the comprehensive abnormality of any battery.

[0020] Further, the step of obtaining the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree includes:

[0021] Calculate the comprehensive abnormality degree of any battery and the average of the historical comprehensive abnormality degrees corresponding to the historical collection time to obtain the final abnormality degree of any battery.

[0022] Further, the step of monitoring the battery status according to the final abnormality degree includes:

[0023] When the final abnormality degree of the battery does not exceed the preset abnormality degree threshold, the battery state is normal.

[0024] The present invention has the following beneficial effects:

[0025] In the present invention, obtaining the probability of battery failure can preliminarily determine the UPS power supply that may have a fault according to the current difference characteristics between different UPS power supplies, so as to select the appropriate overall voltage characteristic value and the UPS power supply that is operating normally according to the battery failure probability. Obtaining the overall voltage characteristic value can characterize the voltage characteristics of the UPS power supply in the current state, and then preliminarily analyze the voltage deviation value of the battery according to the difference characteristics between the battery voltage data and the overall voltage characteristic value, thereby improving the monitoring accuracy; obtaining the voltage deviation value can characterize the voltage difference state of the battery. Obtaining the battery voltage abnormality can further determine the battery that may be abnormal according to the difference characteristics of the voltage deviation value, thereby improving the accuracy of battery fault monitoring; obtaining the comprehensive abnormality degree of the battery can avoid the situation where the battery voltage abnormality degree is small due to the abnormality of most batteries in a UPS power supply, thereby making a comprehensive judgment on the fault condition of any battery according to multiple normal UPS power supplies, thereby further improving the monitoring accuracy. Obtaining the final abnormality degree of the battery can judge the state of the battery according to multiple data collection moments of the battery, thereby improving the accuracy of battery abnormality monitoring in the UPS power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 A block diagram of an online safe UPS power supply abnormality monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of an online safe UPS power supply abnormality monitoring system proposed according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0029] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0030] The specific scheme of an online safe UPS power supply abnormality monitoring system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0031] See also Figure 1 , which shows a block diagram of an online safe UPS power supply abnormality monitoring system provided by an embodiment of the present invention, the system includes the following modules:

[0032] The data acquisition module S1 is used to acquire the current data and voltage data of each battery in the UPS power supply.

[0033] In the embodiment of the present invention, the implementation scenario is to monitor the battery status in the UPS power supply to improve the accuracy of battery monitoring. First, the current data and voltage data of each battery in the UPS power supply are obtained. In a large computer room, multiple sets of UPS uninterruptible power supply equipment will be used for power supply, so the current data and voltage data of the batteries in all UPS power supplies are collected at the same time; it should be noted that the specifications of the batteries in all UPS power supplies are the same.

[0034] The data analysis module S2 is used to obtain the battery failure probability based on the difference characteristics of the current data between different UPS power supplies; obtain the overall voltage characteristic value based on the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability; and obtain the battery voltage deviation value based on the difference characteristics between the battery voltage data and the overall voltage characteristic value.

[0035] Since the batteries in the UPS power supply are in a series structure, the currents of different batteries in the same UPS power supply are the same. When a battery in a UPS power supply fails, the current difference between the UPS power supply and other UPS power supplies increases. Therefore, the UPS power supply that may fail can be judged by the current difference between different UPS power supplies. Therefore, the battery failure probability is obtained according to the difference characteristics of the current data between different UPS power supplies; preferably, in one embodiment of the present invention, the step of obtaining the battery failure probability includes: calculating the average value of the current data of all UPS power supplies to obtain the overall current characteristic value; the overall current characteristic value characterizes the average current level of all UPS power supplies in the computer room. Calculate the square of the difference between the current data of the UPS power supply and the overall current characteristic value to obtain the current difference characteristic value of the UPS power supply; when the current difference characteristic value is larger, it means that the current of the UPS power supply is more abnormal. Calculate the sum of the current difference characteristic values ​​of all UPS power supplies to obtain the overall current difference value; calculate the ratio of the current difference characteristic value to the overall current difference value to obtain the battery failure probability of the UPS power supply. When the current difference characteristic value of the UPS power supply is larger, the proportion in the overall current difference value is larger, and the battery failure probability of the UPS power supply is closer to 1, which means that the possibility of battery failure in the UPS power supply is greater.

[0036] Furthermore, under the same working conditions, the battery operating parameters of UPS power supplies with the same specifications are the same, and the faulty battery is an individual phenomenon. Most of the voltage data obtained are normal data, so a voltage data can be selected to represent the normal voltage characteristics under the current working state. Since the battery failure probability of different UPS power supplies is different, the voltage value under normal conditions should be closer to the UPS power supply with a lower battery failure rate. Therefore, in the process of obtaining the overall voltage characteristic value, it is more necessary to refer to the UPS power supply with a low battery failure probability; therefore, the overall voltage characteristic value is obtained based on the distribution characteristics of the voltage data and the battery failure probability in all UPS power supplies.

[0037] Preferably, in one embodiment of the present invention, obtaining the overall voltage characteristic value includes: calculating the proportion of voltage data of any numerical type of the battery in all voltage data, and obtaining the probability characteristic value of voltage data of any numerical type; when the number of occurrences of voltage data of a certain numerical type is greater, it means that the voltage data is more likely to be a normal value. The battery failure probability of the UPS power supply of the battery corresponding to the voltage data of any numerical type is negatively correlated and the average value of the ratio with the historical comprehensive abnormality degree is calculated to obtain the probability correction coefficient of the voltage data of any numerical type; wherein the historical comprehensive abnormality degree is the comprehensive abnormality degree of the battery obtained at the last data collection moment, if there is no last data collection moment, the historical comprehensive abnormality degree is set to 1, when the battery failure probability of the UPS power supply corresponding to the voltage data of any numerical type is smaller, the historical comprehensive abnormality degree is smaller, and the probability correction coefficient is larger, which means that the voltage data can better represent the normal voltage situation. Calculate the product of the probability characteristic value and the probability correction coefficient to obtain the corrected probability value of the voltage data of any numerical type; when the corrected probability value is larger, it means that the voltage data can better represent the normal situation of the UPS power supply. The voltage data corresponding to the maximum value of the corrected probability value is used as the overall voltage characteristic value, which can characterize the normal voltage state of the UPS power supply in the computer room; the overall voltage characteristic value can characterize the normal voltage characteristics under the current UPS power supply state, and then analyze the battery abnormality based on the difference characteristics between the voltage data and the overall voltage characteristic value to improve the accuracy of the analysis. The formula for obtaining the overall voltage characteristic value includes:

[0038]

[0039] In the formula, represents the probability characteristic value of voltage data of any numerical type, Indicates the number of batteries corresponding to the voltage data of any numerical type, Indicates The probability of battery failure in the UPS power supply where the battery is located, Represents a negative correlation mapping of battery failure probability, Indicates The historical comprehensive abnormality level of each battery; Represents the probability correction factor.

[0040] After obtaining the overall voltage characteristic value, the degree of battery failure can be preliminarily determined based on the difference between the battery voltage data and the overall voltage characteristic value; therefore, the battery voltage deviation value is obtained based on the difference between the battery voltage data and the overall voltage characteristic value, specifically including: calculating the absolute value of the difference between the battery voltage data and the overall voltage characteristic value to obtain the battery voltage deviation value. The larger the battery voltage deviation value, the greater the possibility of the battery failure; however, it is difficult to accurately determine whether the battery is faulty based only on the voltage deviation value, and the voltage deviation value needs to be further analyzed to improve the monitoring accuracy.

[0041] The feature processing module S3 is used to obtain the battery voltage abnormality according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply; and obtain the comprehensive abnormality degree of the battery according to the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery.

[0042] Under normal circumstances, the voltage data of the batteries in the same UPS power supply has a higher similarity with the voltage parameters of the batteries in other UPS power supplies. When a battery in the UPS power supply fails, the voltage deviation value of the battery will be greatly different from the voltage deviation values ​​of other batteries. Therefore, the battery voltage abnormality is obtained according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply. Preferably, in one embodiment of the present invention, obtaining the battery voltage abnormality includes: calculating the average value of the absolute value of the difference between the voltage deviation values ​​of any battery and other batteries in the same UPS power supply to obtain the battery deviation discrete value of the arbitrary battery; when the battery deviation discrete value is larger, it means that the voltage bias value of the arbitrary battery is more abnormal, and the arbitrary battery is more likely to fail. Calculate the sum of the voltage deviation value of the arbitrary battery and the battery deviation discrete value to obtain the battery voltage abnormality of the arbitrary battery. When the battery voltage abnormality is larger, it means that the possibility of failure of the battery is greater; the formula for obtaining the battery voltage abnormality includes:

[0043]

[0044] In the formula, Indicates the battery voltage abnormality of the battery. Indicates the voltage deviation value of the battery. Indicates the number of other batteries in the UPS power supply where this battery is located. Indicates the first The voltage deviation of each battery, Indicates the discrete value of the battery deviation of the battery.

[0045] Furthermore, since most of the batteries in a UPS power supply may fail, the difference in voltage deviation values ​​between different batteries in a single UPS power supply is small, and the obtained battery voltage abnormality is small; in order to further improve the monitoring accuracy, it is necessary to conduct a comprehensive evaluation based on the voltage abnormality in other UPS power supplies with a lower probability of failure. Even if the battery voltage abnormality of a battery is small, the difference in battery voltage abnormality from other normal UPS power supplies is large; therefore, the comprehensive abnormality of the battery is obtained based on the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery.

[0046] Preferably, in one embodiment of the present invention, obtaining the comprehensive abnormality includes: taking a UPS power supply with a battery failure probability less than a preset failure threshold as a reference power supply. In the embodiment of the present invention, the preset failure probability threshold is 0.3, which can be determined by the implementer according to the implementation scenario; the failure of the battery in the reference power supply is small, and the corresponding battery voltage abnormality is small. Calculate the average value of the battery voltage abnormality of all batteries in any reference power supply to obtain the average voltage abnormality characterization value; the average voltage abnormality characterization value represents the average level of battery voltage abnormality of batteries in a UPS power supply with a good health status. Calculate the difference between the constant 1 and the battery failure probability of the reference power supply to obtain the contribution of the reference power supply; calculate the sum of the contribution of all reference power supplies to obtain the cumulative contribution value; calculate the ratio of the contribution to the cumulative contribution value to obtain the contribution weight. When the battery failure probability of the reference power supply is smaller, it means that the average voltage abnormality characterization value of the battery in the UPS power supply is closer to the normal situation, the reference weight of the reference battery of this type is larger, and the contribution weight of the average voltage abnormality characterization value of the reference power supply is larger, which can make the overall abnormality characteristic value calculated subsequently closer to the normal level of a UPS power supply with a good health status. Calculate the cumulative sum of the product of the average voltage abnormality level representation value and the contribution weight of all reference power supplies to obtain the overall abnormality level characteristic value; the overall abnormality level characteristic value represents the average level of battery voltage abnormality of the batteries in all reference power supplies. Calculate the absolute value of the difference between the battery voltage abnormality of any battery and the overall abnormality level characteristic value and normalize them to obtain the comprehensive abnormality level of any battery. The greater the comprehensive abnormality level, the more abnormal the battery state is; the formula for obtaining the comprehensive abnormality level includes:

[0047]

[0048] In the formula, Indicates the overall abnormality of the battery. represents the normalization function, Indicates the battery voltage abnormality of the battery. Indicates the number of reference power supplies, Indicates The probability of battery failure of a reference power source, represents the contribution of the reference power supply, Indicates the cumulative contribution value. represents the contribution weight, Indicates The number of cells in a reference power source, Indicates The reference power supply The abnormality of battery voltage of each battery, Indicates the average value of voltage abnormality. Represents the overall abnormality characteristic value.

[0049] The power monitoring module S4 is used to obtain the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; and monitor the battery status according to the final abnormality degree.

[0050] In order to accurately characterize the fault condition of the battery, the comprehensive abnormality degree at the current collection moment and the historical collection moment can be combined for analysis, so the final abnormality degree of the battery is obtained according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; preferably, in one embodiment of the present invention, obtaining the final abnormality degree includes: calculating the comprehensive abnormality degree of any battery and the average value of the historical comprehensive abnormality degree corresponding to the historical collection moment, and obtaining the final abnormality degree of any battery. The historical collection moment in the embodiment of the present invention is the last data collection moment, and the historical comprehensive abnormality degree is the comprehensive abnormality degree at the last data collection moment; it should be noted that the first monitoring directly uses the comprehensive abnormality degree at the current moment as the final abnormality degree; the larger the final abnormality degree, the more serious the battery fault condition. Therefore, the battery status is monitored according to the final abnormality degree. When the final abnormality degree of the battery does not exceed the preset abnormality degree threshold, the battery status is normal; in the embodiment of the present invention, the preset abnormality degree threshold is 0.5, and the implementer can determine it by himself according to the implementation scenario. When the final abnormality degree of the battery exceeds the preset abnormality degree threshold, an early warning is issued. So far, the battery status is monitored by analyzing the battery failure probability and battery voltage abnormality between different UPS power supplies, thereby improving the monitoring accuracy of the UPS power supply.

[0051] In summary, the embodiment of the present invention provides an online safe UPS power supply abnormality monitoring system; obtains the battery failure probability according to the difference characteristics of the current data of different UPS power supplies; obtains the overall voltage characteristic value according to the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability; obtains the voltage deviation value according to the difference characteristics of the battery voltage data and the overall voltage characteristic value; obtains the battery voltage abnormality according to the difference characteristics of the voltage deviation value of the battery in the UPS power supply; obtains the comprehensive abnormality degree of the battery according to the battery failure probability and the battery voltage abnormality degree of different UPS power supplies. The present invention obtains the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; monitors the battery status according to the final abnormality degree, thereby improving the monitoring accuracy.

[0052] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An online safe UPS power supply abnormality monitoring system, characterized in that: The system includes the following modules: A data acquisition module is used to acquire current data and voltage data of each battery in the UPS power supply; A data analysis module is used to obtain the battery failure probability according to the difference characteristics of the current data between different UPS power supplies; obtain the overall voltage characteristic value according to the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability; and obtain the battery voltage deviation value according to the difference characteristics between the battery voltage data and the overall voltage characteristic value; A feature processing module is used to obtain the battery voltage abnormality according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply; and to obtain the comprehensive abnormality degree of the battery according to the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery; The power monitoring module is used to obtain the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree; monitoring a battery state according to the final abnormality degree; The step of obtaining the overall voltage characteristic value according to the distribution characteristics of the voltage data in all UPS power supplies and the battery failure probability comprises: Calculate the proportion of voltage data of any numerical value type of the battery in all voltage data to obtain the probability characteristic value of the voltage data of any numerical value type; negatively correlate the battery failure probability of the UPS power supply of the battery corresponding to the voltage data of any numerical value type and calculate the average value of the ratio with the historical comprehensive abnormality degree to obtain the probability correction coefficient of the voltage data of any numerical value type; calculate the product of the probability characteristic value and the probability correction coefficient to obtain the corrected probability value of the voltage data of any numerical value type; Taking the voltage data corresponding to the maximum value of the modified probability value as the overall voltage characteristic value; The step of obtaining the comprehensive abnormality degree of the battery according to the battery failure probability of different UPS power supplies and the battery voltage abnormality of the battery comprises: A UPS power supply with a battery failure probability less than a preset failure threshold is used as a reference power supply; the average value of the battery voltage abnormality of all batteries in any reference power supply is calculated to obtain an average voltage abnormality characterization value; the difference between the constant 1 and the battery failure probability of the reference power supply is calculated to obtain the contribution of the reference power supply; the sum of the contributions of all reference power supplies is calculated to obtain a cumulative contribution value; the ratio of the contribution to the cumulative contribution value is calculated to obtain a contribution weight; the cumulative sum of the product of the average voltage abnormality characterization value of all reference power supplies and the contribution weight is calculated to obtain an overall abnormality characteristic value; the absolute value of the difference between the battery voltage abnormality of any battery and the overall abnormality characteristic value is calculated and normalized to obtain the comprehensive abnormality of any battery.

2. The online safe UPS power supply abnormality monitoring system according to claim 1 is characterized in that: The step of obtaining the battery failure probability according to the difference characteristics of the current data between different UPS power supplies includes: Calculate the average value of the current data of all UPS power supplies to obtain the overall current characteristic value; calculate the square of the difference between the current data of the UPS power supply and the overall current characteristic value to obtain the current difference characteristic value of the UPS power supply; calculate the sum of the current difference characteristic values ​​of all UPS power supplies to obtain the overall current difference value; calculate the ratio of the current difference characteristic value to the overall current difference value to obtain the battery failure probability of the UPS power supply.

3. The online safe UPS power supply abnormality monitoring system according to claim 1 is characterized in that: The step of obtaining the voltage deviation value of the battery according to the difference characteristics between the voltage data of the battery and the overall voltage characteristic value comprises: The absolute value of the difference between the voltage data of the battery and the overall voltage characteristic value is calculated to obtain the voltage deviation value of the battery.

4. The online safe UPS power supply abnormality monitoring system according to claim 1, characterized in that: The step of obtaining the battery voltage abnormality according to the difference characteristics of the voltage deviation values ​​of different batteries in the UPS power supply comprises: The average value of the absolute value of the difference between the voltage deviation values ​​of any battery and other batteries in the same UPS power supply is calculated to obtain the battery deviation discrete value of the arbitrary battery; the voltage deviation value of the arbitrary battery and the sum of the battery deviation discrete value are calculated to obtain the battery voltage abnormality of the arbitrary battery.

5. The online safe UPS power supply abnormality monitoring system according to claim 1, characterized in that: The step of obtaining the final abnormality degree of the battery according to the comprehensive abnormality degree of the battery in the UPS power supply and the corresponding historical comprehensive abnormality degree comprises: Calculate the comprehensive abnormality degree of any battery and the average of the historical comprehensive abnormality degrees corresponding to the historical collection time to obtain the final abnormality degree of any battery.

6. The online safe UPS power supply abnormality monitoring system according to claim 1, characterized in that: The step of monitoring the battery status according to the final abnormality degree comprises: When the final abnormality degree of the battery does not exceed the preset abnormality degree threshold, the battery state is normal.

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