Fault diagnosis method for power supply and distribution system of data center

Abstract

A fault diagnosis method for a power supply and distribution system of a data center comprises the following steps that the actual temperature and the real-time load current of a target line are collected, and the single-hour average temperature and the single-hour average load current of the target line are calculated; calculating a single-hour standard temperature difference of the target line, calculating a temperature-electricity ratio of the target line, calculating a daily temperature-electricity ratio difference rate of two adjacent days, carrying out fault analysis, and comparing the daily temperature-electricity ratio difference rate with a difference threshold value. In the embodiment of the invention, according to the characteristic of the cumulative effect of the temperature, the temperature is taken as the main criterion, and the instantaneous physical parameters during the operation of the equipment are combined, so that the judgment on whether the equipment has the fault abnormity is realized, and before the irreversible fault occurs, the precursor early warning is provided for the operation and maintenance personnel, and the operation and maintenance personnel can be helped to deal with the fault as early as possible and as fast as possible. Reliability of power supply and distribution system operation is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power monitoring, and in particular relates to a fault diagnosis method for a power supply and distribution system of a data center. Background Art

[0002] In modern data centers, the power supply and distribution system is a key link to ensure the stable operation of the data center. The power supply and distribution system is responsible for providing reliable power supply to each cabinet in the data center. Therefore, the operating stability of the power supply and distribution system directly determines the operating stability of the entire data center. In order to monitor the operating status of the power supply and distribution system in real time, the data center is usually equipped with a power monitoring system.

[0003] Existing power monitoring systems are mainly used for passive monitoring of power parameters. These systems usually collect instantaneous electrical and physical parameters such as voltage, current, and frequency, and display these parameters on the monitoring screen for monitoring personnel to observe. Monitoring personnel need to judge the operating status of the power supply and distribution system based on the changes in these electrical and physical parameters. When electrical and physical parameters are abnormal or change significantly in a short period of time, monitoring personnel will use this as a basis to determine whether there is a fault in the power supply and distribution system.

[0004] However, the existing power monitoring systems have some obvious shortcomings. First, these systems can only passively display instantaneous electrical and physical parameters and lack the ability to warn of the precursors of faults. Second, when the instantaneous electrical and physical parameters are abnormal or change drastically, the relevant electrical equipment may have irreversibly failed. This not only affects the power supply stability of the data center, but may also cause power outages. The vast majority of data center loads are important loads among the primary loads. Sudden power outages will cause large economic losses, especially for power outages caused by sudden failures. Summary of the invention

[0005] In view of the deficiencies in the related technologies, the present invention provides a fault diagnosis method for a power supply and distribution system in a data center to solve the problem that the current power monitoring system lacks precursor warning capabilities due to passive monitoring and irreversible failures of the equipment have already occurred in the event of an abnormality.

[0006] The present invention provides a method for diagnosing a fault in a power supply and distribution system of a data center, comprising the following steps:

[0007] S10: Collect the actual temperature and real-time load current of the target line in the distribution cabinet, and calculate the average temperature K1~K of the target line every hour in a day 24 and the average load current per hour I pj-1 ~I pj-24 ;

[0008] S20: Calculate the single-hour standard actual temperature difference ΔK1~ΔK of the target line24 , ΔK1=K1-K p0 , ΔK2=K2-K p0 , ..., ΔK 24 =K 24 -K p0 , K p0 is the nominal cabinet temperature;

[0009] S30: Calculate the temperature-electric ratio L1 to L2 of the target line 24 , L1=ΔK1 / I pj-1 2 , L2=ΔK2 / I pj-2 2 , ..., L 24 =ΔK 24 / I pj-24 2 ;

[0010] S40: Calculate the daily temperature-to-electricity ratio difference rate ΔL1~ΔL between two consecutive days 24 , L D1-1 ~L D1-24 The temperature-electricity ratio of the target line the day before is L1~L 24 , L D2-1 ~L D2-24 The temperature-electricity ratio L1~L1 of the target line one day after it is adjacent 24 ;

[0011] S50: Perform fault analysis and calculate the daily temperature-to-electricity ratio difference ΔL1~ΔL 24 They are compared with the difference thresholds respectively. If any daily temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has an abnormal operating status fault.

[0012] In some embodiments, step S40 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL of the same day in two consecutive years. Y-1 ~ΔL Y-24 , L Y1-1 ~L Y1-24 The temperature-electricity ratio of the target line in the previous year and one day is L1~L 24 , L Y2-1 ~L Y2-24 The temperature-electric ratio L1~L corresponding to the same day one year after the target line is adjacent 24 ;

[0013] Step S50 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL Y-1 ~ΔL Y-24Compared with the difference threshold, if any annual temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has quality problem failure, insufficient maintenance failure or hidden risk failure.

[0014] In some embodiments, further comprising:

[0015] S60: According to the hourly average temperature K1~K 24 , through the wire impedance calculation, the average actual resistance R1~R of the target line is obtained 24 ;

[0016] S70: Obtain target routes A1 to A n The average actual resistance R 1-1 ~R 1-24 , R 2-1 ~R 2-24 ,……,R n-1 ~R n-24 ;

[0017] S80: Extract target routes A1 to A n The average actual resistance in the same period is used as the reference average resistance R r-1 ~R r-n ;

[0018] S90: Calculate the adjacent resistance ratio F1 to F1 of adjacent target lines n-1 , m is the quality of the corresponding target line;

[0019] S100: Perform fault analysis and adjust the adjacent resistance ratio F1 to F n-1 The ratios are compared with the difference threshold. If any of the adjacent resistance ratios is higher than the difference threshold, it is determined that the corresponding two target lines have abnormal operating status faults.

[0020] In some embodiments, the conductor impedance calculation includes the following steps:

[0021] S601: Calculate the DC resistance R of the target line θ , ρ θ =ρ 20 ×[1+a×(θ-20)], L is the length of the target line, S is the cross-sectional area of ​​the wire of the target line, c j is the twist-in coefficient, ρ 20 is the resistivity of the target line when the conductor temperature is 20°C, ρ θ is the resistivity of the target line conductor when the temperature is θ℃, a is the resistivity, θ is the target line conductor temperature, and the hourly average temperature K1~K 24 as θ;

[0022] S602: Calculate the AC resistance R of the target circuit j , R j =K jf ×K lj ×R θ , μ is the relative magnetic permeability, f is the frequency, r is the core radius of the target line conductor, K lj is the proximity effect coefficient, and the AC resistance R j As the average actual resistance of the target line.

[0023] In some embodiments, in step S10, the number of actual temperature and real-time load current collected in each hour is at least 30.

[0024] In some embodiments, in step S10, the collection interval of the actual temperature and the real-time load current is at least 2 seconds.

[0025] In some of the embodiments, step S10 further includes comparing the currently collected actual temperature with the adjacent previous actual temperature. If the currently collected actual temperature is higher than the adjacent previous actual temperature and the excess is greater than the temperature threshold, a fault alarm is issued and subsequent steps are terminated.

[0026] In some of these embodiments, the temperature threshold is 50% of the immediately preceding actual temperature.

[0027] In some embodiments, the difference threshold is 5% to 20%.

[0028] In some of these embodiments, the target lines include busbars and outgoing cables of a power distribution cabinet.

[0029] Based on the above technical scheme, in the embodiment of the present invention, according to the characteristics of the cumulative effect of temperature, temperature is used as the main criterion, combined with the instantaneous physical parameters of the equipment during operation, to determine whether the equipment has a fault abnormality, and provide precursor warnings for operation and maintenance personnel before irreversible failures occur, so as to help operation and maintenance personnel to deal with them as early as possible, as quickly as possible, and as much as possible in an anticipatory manner, thereby ensuring the reliability of the power supply and distribution system operation, and solving the problem that the current power monitoring system lacks precursor warning capabilities due to passive monitoring and irreversible failures have already occurred in the equipment during abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0031] Figure 1This is a flow chart of Embodiment 1 of a method for diagnosing a fault in a power supply and distribution system of a data center according to the present invention;

[0032] Figure 2 This is a flow chart of Embodiment 2 of a method for diagnosing a fault in a power supply and distribution system of a data center according to the present invention;

[0033] Figure 3 This is a flow chart of Embodiment 3 of the method for diagnosing faults in a power supply and distribution system of a data center according to the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments. Obviously, the described embodiments are only 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 making creative work are within the scope of protection of the present invention.

[0035] In the description of the present invention, it should be understood that the terms "center", "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0036] The terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Thus, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features.

[0037] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0038] like Figures 1 to 3 As shown, in an exemplary embodiment of a method for diagnosing a fault in a power supply and distribution system of a data center of the present invention, the method for diagnosing a fault in a power supply and distribution system of a data center comprises the following steps:

[0039] S10: Install temperature sensors and current sensors on the target line in the power distribution cabinet to collect the actual temperature and real-time load current of the target line, and calculate the average temperature and load current of the target line every hour in a day. Since a day has 24 hours, the average temperature and load current of a day are both 24, which are K1~K 24 and I pj-1 ~I pj-24 .

[0040] S20: Calculate the single-hour standard actual temperature difference ΔK1~ΔK of the target line 24 , ΔK1=K1-K p0 , ΔK2=K2-K p0 , ..., ΔK 24 =K 24 -K p0 , K p0 It is the nominal temperature inside the cabinet, which is set manually and is generally set at 25℃~40℃.

[0041] S30: Calculate the temperature-electric ratio L1 to L2 of the target line 24 , L1=ΔK1 / I pj-1 2 , L2=ΔK2 / I pj-2 2 , ..., L 24 =ΔK 24 / I pj-24 2 .

[0042] S40: Calculate the daily temperature-to-electricity ratio difference rate ΔL1~ΔL between two consecutive days 24 , L D1-1 ~L D1-24 The temperature-electricity ratio of the target line the day before is L1~L 24 , L D2-1 ~L D2-24 The temperature-electricity ratio L1~L1 of the target line one day after it is adjacent 24 .

[0043] S50: Perform fault analysis and calculate the daily temperature-to-electricity ratio difference ΔL1~ΔL 24 They are compared with the difference thresholds respectively. If any daily temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has an abnormal operating status fault.

[0044] In Joule's law, Q = I 2×R×t, t is time, I is the current passing through the conductor, and R is the resistance of the conductor. It can be seen that by multiplying the square of the target line current, the target line resistance and the time 1, the heat generated by the target line in 1 hour can be obtained. The heat generated by the target line in 1 hour is related to its own resistance and the operating current.

[0045] According to the target line's hourly average temperature K1~K 24 , through the conductor impedance calculation, the average actual resistance R1~R of the target line in each hour of a day can be obtained. 24 .

[0046] In the physical calculation formula for heat generation, Q = m × c × ΔT, m is the weight of the object, c is the specific heat capacity of the object, and ΔT is the temperature change within the time period. The single-hour standard temperature difference of the target line is ΔK1~ΔK 24 That is, it reflects the temperature rise of the target line due to heat every hour in a day.

[0047] Further due to Q1=I pj-1 2 ×R1×t, substituting both into L1=ΔK1 / I pj-1 2 , t is equal to 1 hour, we can get In the same way,

[0048] m and c are the device attribute values ​​inherent to the target line, which will not change with the running time and external conditions. However, if a fault such as loose bolts occurs, the target line is damaged and the resistance changes, then the average actual resistance of the target line in one day is R1~R 24 The temperature rise will cause significant changes (the higher the temperature, the greater the resistance), thus affecting the daily temperature-to-electricity ratio L1~L 24 .

[0049] In the power distribution cabinet of the power supply and distribution system, the busbar is installed by connecting the copper busbar with bolts, and the outgoing cable is installed by connecting the terminal with bolts. During the years of operation, with the use and aging of the equipment, some large-scale maintenance or secondary installation after preliminary testing, the bolts may become loose, which will lead to loose connection between the busbar and the cable, increase the resistance at the connection, and increase the temperature rise here.

[0050] In addition, after a busbar or cable in the cabinet fails, the electrodynamic and thermal effects of the short-circuit current will cause the busbar or outgoing cable in the cabinet to be deformed or damaged to a certain extent that cannot be distinguished by the naked eye, and will also cause the resistance of the busbar or cable at the fault point to increase, thereby increasing the temperature rise here.

[0051] Therefore, in step S40, for the target line in the distribution cabinet, the temperature-electricity ratio of the same time period of the two days before and after is compared, the difference rate of the temperature-electricity ratio of the same time period of the two days before and after is calculated (i.e., the daily temperature-electricity ratio difference rate), and it is compared with the difference threshold. If the daily temperature-electricity ratio difference rate is higher than the difference threshold, it means that the average actual resistance on the target line in the same time period of the two days before and after has produced a change exceeding the threshold, which is caused by the increase in the temperature rise of the target line, and the reason for the increase in temperature rise is that the bolts are loose or the line is damaged, so that the target line is determined to have an abnormal operating state fault. At this time, the temperature rise of the target line only increases, and the temperature does not increase to the extent that the target line is damaged. The identified abnormal operating state fault provides a precursor warning for the operation and maintenance personnel, helping the operation and maintenance personnel to eliminate the hidden faults as early as possible, as quickly as possible, and as much as possible, to ensure the reliability of the operation of the power supply and distribution system, and thus avoid sudden power outages in the data center causing large economic losses. Since the temperature-electricity ratio is calculated by the temperature and current in the instantaneous physical parameters, the temperature is used as the main criterion, and the judgment of whether the equipment has an abnormal fault is combined with the instantaneous physical parameters when the equipment is running.

[0052] After learning that the daily temperature-to-electricity ratio difference rate is higher than the difference threshold, the operation and maintenance personnel will determine the possible cause of the fault based on the working conditions of the two days before and after, and take corresponding maintenance measures. More specifically, if the target line section has been disassembled or other operations within the two days before and after, it is possible that the installation quality is not in place and the effect is poor after the restoration, and reinstallation is required; if the target line section has not been operated within the two days before and after, it is possible that the target line has hidden faults (false connection) or product quality hidden dangers (such as substandard processing technology), etc., which are accumulated with the increase of running time and suddenly exposed in a short period of time, resulting in the expansion of hazards. The corresponding problems need to be checked to avoid the aforementioned faults causing equipment performance degradation or internal damage.

[0053] In the above-mentioned illustrative embodiment, the fault diagnosis method of the power supply and distribution system of the data center uses temperature as the main criterion based on the characteristics of the cumulative effect of temperature, combined with the instantaneous physical parameters of the equipment during operation, to determine whether the equipment has a fault anomaly. Before an irreversible fault occurs, a precursor warning is provided to the operation and maintenance personnel, helping the operation and maintenance personnel to handle it as early as possible, as quickly as possible, and as far as possible in an anticipatory manner, thereby ensuring the reliability of the operation of the power supply and distribution system, and solving the problem that the current power monitoring system lacks precursor warning capabilities due to passive monitoring and the equipment has already suffered irreversible faults when an abnormality occurs.

[0054] In some embodiments, step S40 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL of the same day in two consecutive years. Y-1 ~ΔL Y-24 , L Y1-1 ~L Y1-24 The temperature-electricity ratio of the target line in the previous year and one day is L1~L 24 , L Y2-1 ~L Y2-24 The temperature-electric ratio L1~L corresponding to the same day one year after the target line is adjacent 24 More specifically, when L Y1-1 ~L Y1-24 For the temperature-to-electricity ratios for the 24 hours on August 1 this year, L Y2-1 ~L Y2-24 These are the temperature and electricity ratios for the 24 hours on August 1 last year.

[0055] Step S50 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL Y-1 ~ΔL Y-24 Compared with the difference threshold, if any annual temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has quality problem failure, insufficient maintenance failure or hidden risk failure.

[0056] If the temperature changes on the same day within two years are very different under the same or very similar working conditions, and exceed the range of natural aging of conventional equipment, it proves that there are quality problems when it leaves the factory, and it cannot reach the design life or has an impact on the normal service life. Or during this period, the equipment is of correct quality when it leaves the factory, but lacks due maintenance or the operating conditions exceed the design requirements, resulting in serious performance degradation. Or there may be hidden faults in the equipment due to previous failures, and the cumulative impact is amplified after one year of operation, resulting in a cumulative effect.

[0057] While determining whether the difference rate of the temperature-to-electricity ratio in the same time period of two days exceeds the difference threshold, it is further determined whether the difference rate of the temperature-to-electricity ratio in the same time period of the same day of two years exceeds the difference threshold. If the annual temperature-to-electricity ratio difference rate exceeds the difference threshold, it means that the average actual resistance of the target line in the same date and time period of the previous and next two years has changed beyond the threshold, reflecting that the temperature rise of the target line has increased between the previous and next two years. The reasons for the increase in temperature rise may be hidden faults such as aging problems, quality problems, lack of maintenance, and use beyond design requirements. It provides more accurate precursor warnings for operation and maintenance personnel, helping them to eliminate hidden faults as early as possible, as quickly as possible, and as much as possible, to ensure the reliability of the power supply and distribution system, thereby avoiding sudden power outages in data centers that cause large economic losses.

[0058] When determining the difference in the temperature-electricity ratio between two consecutive days and when determining the difference in the temperature-electricity ratio between two consecutive years, different values ​​can be used for the difference threshold, so that the setting of the difference threshold can be determined according to the differences of each project and the subsequent equipment operation conditions, and the fault judgment is more accurate.

[0059] In some embodiments, the fault diagnosis method of the power supply and distribution system of a data center further comprises:

[0060] S60: According to the hourly average temperature K1~K 24 , through the wire impedance calculation, the average actual resistance R1~R of the target line is obtained 24 .

[0061] S70: There are n target lines, and target lines A1 to A1 are obtained. n The average actual resistance R 1-1 ~R 1-24 , R 2-1 ~R 2-24 ,……,R n-1 ~R n-24 .

[0062] S80: Extract target routes A1 to A n The average actual resistance in the same period is used as the reference average resistance R r-1 ~R r-n .

[0063] S90: Calculate the adjacent resistance ratio F1 to F1 of adjacent target lines n-1 , m is the quality of the corresponding target line.

[0064] S100: Perform fault analysis and adjust the adjacent resistance ratio F1 to F n-1 The ratios are compared with the difference threshold. If any of the adjacent resistance ratios is higher than the difference threshold, it is determined that the corresponding two target lines have abnormal operating status faults.

[0065] More specifically, in step S80, the average actual resistance of the same time period is extracted as the reference average resistance, and then sent to step S90 to obtain a corresponding set of adjacent resistance ratios. Since there are 24 hours in a day, that is, there are 24 time periods, step S80 is performed 24 times, and the subsequent step S90 is performed 24 times accordingly. In step S100, all adjacent resistance ratios of all 24 time periods are compared with the difference threshold value. If any adjacent resistance ratio exceeds the difference threshold value, it is determined that the two target lines have an abnormal operating state fault.

[0066] Since the output cable of the same distribution cabinet contains multiple outgoing cables, the operating temperature of each outgoing cable is different during operation, and each outgoing cable is connected to one. If two adjacent circuits in the distribution cabinet are in abnormal operating conditions or fault conditions, it may affect the operation of other circuits in the distribution cabinet. For example: Circuit 1 and Circuit 2 are two adjacent circuits in the distribution cabinet. When the insulation of the outgoing cable of Circuit 1 is aged, the insulation aging becomes more and more serious as the operation time increases, and eventually the circuit causes sudden insulation damage due to the cumulative effect of time, and then causes a short circuit fault. At this time, if the outgoing circuit breaker of Circuit 1 fails and cannot trip, the fault will be expanded (such as the voltage of the adjacent circuit drops suddenly, and the heat generated by the circuit breaker is transmitted to the normal circuit through the cable and busbar), which will have the greatest impact on other adjacent circuits (circuit 2) of the distribution cabinet. Therefore, it is very necessary to judge the operation of two adjacent circuits.

[0067] Take the loop as the target line, calculate the adjacent resistance ratio of the adjacent target lines, and compare it with the difference threshold. When the adjacent resistance ratio is greater than the difference threshold, it is beyond the reasonable range, and it can be known that one of the two adjacent loops has increased its resistance due to abnormal operating conditions, and an abnormal operating state fault has occurred, providing a more accurate precursor warning for operation and maintenance personnel, helping operation and maintenance personnel to eliminate the hidden dangers as early as possible, as quickly as possible, and as much as possible, to ensure the reliability of the power supply and distribution system, thereby avoiding sudden power outages in the data center that cause large economic losses.

[0068] The difference threshold may adopt a different value from that in step S50, so that the setting of the difference threshold can be determined according to the differences of each project and the subsequent equipment operation conditions, and the fault judgment is more accurate.

[0069] After performing step S10 , the process may proceed to step S60 , that is, steps S60 to S100 may be performed simultaneously with steps S20 to S50 ; or after completing step S50 , the process may proceed to step S60 .

[0070] In some embodiments, the wire impedance calculation includes the following steps:

[0071] S601: Calculate the DC resistance R of the target line θ , ρ θ =ρ 20 ×[1+a×(θ-20)], L is the length of the target line, S is the cross-sectional area of ​​the wire of the target line, c j is the twist-in coefficient, ρ 20 is the resistivity of the target line when the conductor temperature is 20°C, ρ θis the resistivity of the target line conductor when the temperature is θ℃, a is the resistivity, θ is the target line conductor temperature, and the hourly average temperature K1~K 24 As θ.

[0072] S602: Calculate the AC resistance R of the target circuit j , R j =K jf ×K lj ×R θ , μ is the relative magnetic permeability, f is the frequency, r is the core radius of the target line conductor, K lj is the proximity effect coefficient, and the AC resistance R j As the average actual resistance of the target line.

[0073] Among them, L and S are fixed parameters of the target line, which can be obtained by measuring or querying equipment parameters; the twist coefficient c j When the target line is a single-strand conductor, it is equal to 1; when it is a multi-strand conductor, it is equal to 1.02; when the target line conductor is an aluminum core (including aluminum wire, aluminum cable, and hard aluminum busbar), ρ 20 =0.0282Ω·mm 2 / m(equivalent to 2.82×10 -6 Ω·cm), when the target line conductor is a copper wire core (including copper wire, copper cable, hard copper busbar) ρ 20 =0.0172Ω·mm 2 / m(equivalent to 1.72×10 -6 Ω·cm); when the target line conductor is copper or aluminum, the resistivity a is 0.004; the relative magnetic permeability μ is 1 for non-ferrous metal conductors; the frequency f is 50 Hz; the core radius r of the target line conductor can be obtained by measuring or querying equipment parameters. In addition, δ is the current penetration depth, which is related to the proximity effect coefficient K lj You can find the corresponding tables in the "Industrial and Civil Power Supply and Distribution Design Manual (Fourth Edition)".

[0074] Through the above method, the temperature of the target line is converted into resistance, so that the temperature is used as the main criterion, combined with the instantaneous physical parameters of the equipment during operation, to determine whether the equipment has a fault abnormality.

[0075] In some embodiments, in step S10, the number of actual temperature and real-time load current collected in each hour is at least 30, ensuring that the number of measurement samples is sufficient, thereby obtaining a more accurate average temperature value and average current value.

[0076] In some embodiments, in step S10, the collection interval of the actual temperature and the real-time load current is at least 2 seconds. Since it is difficult for the resistance to change in perfect synchronization with the temperature change, the collection interval is at least 2 seconds to avoid the correlation difference between the resistance and the temperature caused by too high a collection frequency, to ensure that the temperature is stable during the collection, and the corresponding resistance is stable, so as to provide a more accurate data basis for subsequent fault judgment.

[0077] In some embodiments, step S10 further includes comparing the currently collected actual temperature with the adjacent previous actual temperature. If the currently collected actual temperature is higher than the adjacent previous actual temperature and the excess is greater than the temperature threshold, a fault alarm is issued and subsequent steps are terminated.

[0078] When collecting temperature, if it is found that the subsequently collected temperature rises and fluctuates beyond the threshold, this phenomenon can indicate a fault anomaly, thereby sending an alarm to the monitoring personnel in time to avoid irreversible damage caused by overheating of the target line.

[0079] In some embodiments, the temperature threshold is 50% of the previous actual temperature, that is, if the subsequently collected temperature exceeds the previous collected temperature by 50%, it is determined that a temperature rise exceeding the threshold has occurred, and an alarm is issued to prevent overheating and damage to the target line.

[0080] In some embodiments, the difference threshold is 5% to 20%. Different difference thresholds can be used when comparing and judging different data with the difference thresholds. The setting of the difference threshold can be determined based on the differences of each project and the subsequent equipment operation conditions, so that fault judgment is more accurate.

[0081] In some embodiments, the target line includes a busbar and an outgoing cable of a power distribution cabinet, the outgoing cable has multiple strands, and multiple corresponding target lines may be provided.

[0082] Finally, it should be noted that: the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0083] The above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present invention, which should be included in the scope of the technical solution for protection of the present invention.

Claims

1. A method for diagnosing a fault in a power supply and distribution system of a data center, characterized in that: The steps include: S10: Collect the actual temperature and real-time load current of the target line in the distribution cabinet, and calculate the average temperature K1~K of the target line every hour in a day 24 and the average load current per hour I pj-1 ~I pj-24 ; S20: Calculate the single-hour standard actual temperature difference ΔK1~ΔK of the target line 24 , ΔK1=K1-K p0 , ΔK2=K2-K p0 , ..., ΔK 24 =K 24 -K p0 , K p0 is the nominal cabinet temperature; S30: Calculate the temperature-electric ratio L1 to L2 of the target line 24 , L1=ΔK1 / I pj-1 2 , L2=ΔK2 / I pj-2 2 ,……, L 24 =ΔK 24 / I pj-24 2 ; S40: Calculate the daily temperature-to-electricity ratio difference rate ΔL1~ΔL between two consecutive days 24 , L D1-1 ~L D1-24 The temperature-electricity ratio of the target line the day before is L1~L 24 , L D2-1 ~L D2-24 The temperature-electricity ratio L1~L1 of the target line one day after it is adjacent 24 ; S50: Perform fault analysis and calculate the daily temperature-to-electricity ratio difference ΔL1~ΔL 24 They are compared with the difference thresholds respectively. If any daily temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has an abnormal operating status fault.

2. The fault diagnosis method for a power supply and distribution system in a data center according to claim 1, characterized in that: Step S40 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL of the same day in two consecutive years Y-1 ~ΔL Y-24 , L Y1-1 ~L Y1-24 The temperature-electricity ratio of the target line in the previous year and one day is L1~L 24 , L Y2-1 ~L Y2-24 The temperature-electric ratio L1~L corresponding to the same day one year after the target line is adjacent 24 ; Step S50 further includes calculating the annual temperature-to-electricity ratio difference rate ΔL Y-1 ~ΔL Y-24 Compared with the difference threshold, if any annual temperature-to-electricity ratio difference rate is higher than the difference threshold, it is determined that the target line has quality problem failure, insufficient maintenance failure or hidden risk failure.

3. The fault diagnosis method for the power supply and distribution system of a data center according to claim 1, characterized in that: Further including: S60: According to the hourly average temperature K1~K 24 , through the wire impedance calculation, the average actual resistance R1~R of the target line is obtained 24 ; S70: Obtain target routes A1 to A n The average actual resistance R 1-1 ~R 1-24 , R 2-1 ~R 2-24 ,……,R n-1 ~R n-24 ; S80: Extract target routes A1 to A n The average actual resistance in the same period is used as the reference average resistance R r-1 ~R r-n ; S90: Calculate the adjacent resistance ratio F1 to F1 of adjacent target lines n-1 , m is the quality of the corresponding target line; S100: Perform fault analysis and adjust the adjacent resistance ratio F1 to F n-1 The ratios are compared with the difference threshold. If any of the adjacent resistance ratios is higher than the difference threshold, it is determined that the corresponding two target lines have abnormal operating status faults.

4. The fault diagnosis method for a power supply and distribution system of a data center according to claim 3, characterized in that: The conductor impedance calculation comprises the following steps: S601: Calculate the DC resistance R of the target line θ , ρ θ =ρ 20 ×[1+a×(θ-20)], L is the length of the target line, S is the cross-sectional area of ​​the wire of the target line, c j is the twist-in coefficient, ρ 20 is the resistivity of the target line when the conductor temperature is 20°C, ρ θ is the resistivity of the target line conductor when the temperature is θ℃, a is the resistivity, θ is the target line conductor temperature, and the hourly average temperature K1~K 24 as θ; S602: Calculate the AC resistance R of the target circuit j , R j =K jf ×K lj ×R θ , μ is the relative magnetic permeability, f is the frequency, r is the core radius of the target line conductor, K lj is the proximity effect coefficient, and the AC resistance R j As the average actual resistance of the target line.

5. The fault diagnosis method for a power supply and distribution system in a data center according to claim 1, characterized in that: In step S10, the number of collected actual temperature and real-time load current in each hour is at least 30.

6. The fault diagnosis method for a power supply and distribution system in a data center according to claim 1 or 5, characterized in that: In step S10, the collection interval of the actual temperature and the real-time load current is at least 2 seconds.

7. The fault diagnosis method for a power supply and distribution system of a data center according to claim 1, characterized in that: Step S10 further includes comparing the currently acquired actual temperature with the adjacent previous actual temperature. If the currently acquired actual temperature is higher than the adjacent previous actual temperature and the excess is greater than the temperature threshold, a fault alarm is issued and subsequent steps are terminated.

8. The fault diagnosis method for a power supply and distribution system of a data center according to claim 7, characterized in that: The temperature threshold is 50% of the previous actual temperature.

9. The method for diagnosing a fault in a power supply and distribution system of a data center according to any one of claims 1 to 3, characterized in that: The difference threshold is 5% to 20%.

10. The fault diagnosis method for a power supply and distribution system of a data center according to claim 1, characterized in that: The target line includes the busbar and outgoing cables of the distribution cabinet.

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