Fault recording method and system for phase modifier

Abstract

The invention relates to the technical field of phase modifiers, in particular to a fault recording method and system for a phase modifier. Comprising the following steps: setting a plurality of monitoring points according to equipment parameters of the phase modifier, and setting a wave recording sub-strategy of each monitoring point; acquiring a recording data packet of each monitoring point, and setting a storage parameter of each recording data packet; according to a preset feedback time node, judging whether a correction instruction of each wave recording sub-strategy is generated or not; a plurality of monitoring points are set according to equipment parameters of the phase modifier and types of collected data, and by dynamically setting a wave recording sub-strategy of each monitoring point, the collection efficiency of abnormal waveform data generated by each monitoring point is improved, and a data support is provided for a manager to quickly analyze a fault position and a fault type. By periodically correcting the wave recording sub-strategy of each monitoring point, recording omission or mistaken recording caused by unreasonable setting of trigger conditions is avoided, and the fault wave recording efficiency of the phase modifier is improved.

Description

Technical Field

[0001] The present application relates to the technical field of phase regulators, and in particular to a fault recording method and system for phase regulators. Background Art

[0002] A phase condenser (also called a synchronous phase condenser or synchronous compensator) is a special synchronous motor used in power systems. Its main function is to provide or absorb reactive power to adjust the voltage and power factor of the power grid. It usually runs in a motor state or no-load state, does not output active power, and is specifically used for reactive power compensation and regulation.

[0003] Phase regulators may fail during operation, and fault recording is an important means of recording and analyzing these failures. At present, in the process of phase regulator fault recording, the trigger conditions are not set reasonably, resulting in missed or wrong recordings. At the same time, if the storage space of the recording equipment is insufficient, the recording data may be lost. At the same time, the recording data is not enough to accurately locate the fault point, which affects the accuracy of the fault data and the analysis effect. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a fault recording method and system for a phase modulator, aiming to improve the fault recording efficiency of the phase modulator and provide data support for fault analysis of the phase modulator.

[0005] In some embodiments of the present application, multiple monitoring points are set according to the equipment parameters of the phase regulator and the category of collected data. By dynamically setting the recording sub-strategy of each monitoring point, the efficiency of collecting abnormal waveform data generated by each monitoring point is improved, providing data support for management personnel to quickly analyze the fault location and fault type.

[0006] In some embodiments of the present application, by dynamically setting the storage parameters of each recording data packet, the recording data is backed up in time to avoid data loss. By periodically correcting the recording sub-strategy of each monitoring point, it is avoided that the recording is missed or erroneous due to unreasonable setting of trigger conditions, thereby improving the efficiency of fault recording for phase regulators.

[0007] In some embodiments of the present application, a method for recording a fault of a phase regulator is provided, comprising: Set multiple monitoring points according to the equipment parameters of the phase regulator, and set the recording sub-strategy for each monitoring point; Obtain the recording data packets of each monitoring point and set the storage parameters of each recording data packet; Determine whether to generate correction instructions for each recording sub-strategy according to the preset feedback time node; Among them, when multiple monitoring points are set, they include: Establish a monitoring point sequence A, A=(a 1, a 2 …a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

[0008] In some embodiments of the present application, the setting of the recording sub-strategy of each monitoring point includes: According to the monitoring point sequence A, set a i It is the target monitoring point; Set the monitoring timeline for target monitoring points; Generate multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generate a first-level recording instruction for the target monitoring point according to the preset recording time; Generate a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model of a target monitoring point, wherein the identification sub-model includes a plurality of comparison sub-waveforms; Determine whether to generate a secondary wave recording instruction according to the identification sub-model; Generate the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Generate the recording sub-strategy of each monitoring point in turn.

[0009] In some embodiments of the present application, when determining whether to generate a secondary work instruction according to the identification sub-model, it includes: Obtain real-time waveform data of target monitoring points; Generate an abnormal evaluation value p of real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i -j')<0,Y(i)=0; Preset abnormal evaluation value threshold P1; When p>P1, a secondary work instruction is generated; The waveform data of all monitoring points are collected according to the secondary work instructions, and the secondary data packets of the target monitoring points are generated.

[0010] In some embodiments of the present application, when setting the storage parameters of each recording data packet, it includes: Set multiple storage cycles; Obtain the primary data packet and the secondary data packet of each monitoring point in the current storage cycle according to the storage time node; Establish the recording data packet sequence B=(b 1 , b 2 …b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the recording data packet sequence B i Recording data packet for the target; Generate target recording data packet storage evaluation value c; c= β i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; The storage parameters of the target recording data packet are set according to the storage evaluation value c; Set the storage parameters of each recording data package in the current storage cycle in sequence.

[0011] In some embodiments of the present application, when determining whether to generate a correction instruction for each recording sub-strategy, the method includes: According to the monitoring point sequence A, set a i It is the monitoring point to be evaluated; Generate the secondary data packet sequence P of the monitoring point to be evaluated at the current feedback time node, P=(p 1 , p 2 …p i …p m1 ), where m1 is the number of secondary data packets of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; p i is the i-th secondary data packet of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; Generate the fault risk value K of each secondary data packet, K=(k 1 ,k 2 …k i …k m1 ), where k i is the secondary data packet p iFault risk value; The fault risk value sequence K generates the identification evaluation value g of the monitoring point to be evaluated; Judge whether to generate a primary correction instruction for the wave recording sub-strategy corresponding to the monitoring point to be evaluated according to the identification evaluation value g; Generate the operation evaluation value h of the monitoring point to be evaluated according to the secondary data packet sequence and the fault risk value sequence K; Judge whether to generate a secondary correction instruction for the wave recording sub-strategy corresponding to the monitoring point to be evaluated according to the operation evaluation value h.

[0012] In some embodiments of the present application, when generating the identification evaluation value g, it includes: g = e3 * Q3 * T 1 (i) * (k i - k')] + e4 * Q4 * { T 2 (i) * (k i - k')] / m1}; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth weight coefficient; k' is a preset fault risk value threshold; T 1 (i) is a selection coefficient; if (k i - k') > 0; T 1 (i) = 1; if (k i - k') < 0; T1(i) = 0; T 2 (i) is a selection coefficient; if (k i - k') > 0; T 2 (i) = 1 / (ki - k'); if (k i - k') < 0; T 2 (i) = 0; Preset first identification evaluation value threshold G1; If g < G1, generate a primary correction instruction for the wave recording sub-strategy corresponding to the monitoring point to be evaluated.

[0013] In some embodiments of the present application, when generating the operation evaluation value h of the monitoring point to be evaluated, it includes: h = e5 * Q5 * η i * f i + e6 * Q6 * g; Among them, e5 is a preset fifth weight coefficient; e6 is a preset sixth weight coefficient; Q5 is a preset fifth fixed coefficient; Q6 is a preset sixth fixed coefficient; r2 is the number of operation evaluation indicators; η i is the influence factor of the i-th operation evaluation indicator; f iis the reference value of the i-th operation evaluation index generated based on the secondary data packet sequence P; g is the identification evaluation value of the node to be evaluated at the current feedback time node; Preset recognition evaluation value threshold H1; If h>H1, generate the secondary correction instruction of the recording sub-strategy corresponding to the monitoring point to be evaluated.

[0014] In some embodiments of the present application, a phase regulator fault recording system is provided, comprising: The central control unit is used to set multiple monitoring points according to the equipment parameters of the phase regulator; A collection unit, comprising a plurality of collection submodules, wherein the collection submodules are arranged at each monitoring point, and the collection unit collects waveform data of each monitoring point; The central control unit comprises: The first processing module is used to set the recording sub-strategy of each monitoring point; The storage module is used to obtain the recording data packets of each monitoring point and set the storage parameters of each recording data packet; A correction module, used to determine whether to generate correction instructions for each recording sub-strategy according to a preset feedback time node; The second processing module is used to establish a monitoring point sequence A, A=(a 1 , a 2 …a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

[0015] In some embodiments of the present application, the prime number first processing module is further used for: According to the monitoring point sequence A, set a i It is the target monitoring point; Set the monitoring timeline for target monitoring points; Generate multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generate a first-level recording instruction for the target monitoring point according to the preset recording time; Generate a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model of a target monitoring point, wherein the identification sub-model includes a plurality of comparison sub-waveforms; Determine whether to generate a secondary wave recording instruction according to the identification sub-model; Generate the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Generate the recording sub-strategy of each monitoring point in turn; Wherein, judging whether to generate a secondary work instruction according to the identification sub-model includes: Obtain real-time waveform data of target monitoring points; Generate an abnormal evaluation value p of real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i -j')<0,Y(i)=0; Preset abnormal evaluation value threshold P1; When p>P1, a secondary work instruction is generated; The waveform data of all monitoring points are collected according to the secondary work instructions, and the secondary data packets of the target monitoring points are generated.

[0016] In some embodiments of the present application, the storage module is also used for: Set multiple storage cycles; Obtain the primary data packet and the secondary data packet of each monitoring point in the current storage cycle according to the storage time node; Establish the recording data packet sequence B=(b 1 , b 2 …b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the recording data packet sequence B i Recording data packet for the target; Generate target recording data packet storage evaluation value c; c= β i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; The storage parameters of the target recording data packet are set according to the storage evaluation value c; Set the storage parameters of each recording data package in the current storage cycle in sequence.

[0017] Compared with the prior art, the fault recording method and system of a phase regulator in the embodiment of the present application has the following beneficial effects: Multiple monitoring points are set according to the equipment parameters of the phase regulator and the type of collected data. By dynamically setting the recording sub-strategy of each monitoring point, the efficiency of collecting abnormal waveform data generated by each monitoring point is improved, providing data support for managers to quickly analyze the fault location and fault type.

[0018] By dynamically setting the storage parameters of each recording data packet, the recording data can be backed up in time to avoid data loss. By periodically correcting the recording sub-strategy of each monitoring point, it can be avoided that the missed or wrong recording is caused by unreasonable setting of trigger conditions, thereby improving the fault recording efficiency of the phase regulator. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a method for recording a fault of a phase regulator in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0020] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0021] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply 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 application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0023] In the description of this application, 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 mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected 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 this application can be understood according to specific circumstances.

[0024] like Figure 1 As shown, a method for recording a fault of a phase regulator according to a preferred embodiment of the present application includes: S101: setting multiple monitoring points according to the equipment parameters of the phase regulator, and setting the recording sub-strategy of each monitoring point; S102: Obtain the recording data packets of each monitoring point and set the storage parameters of each recording data packet; S103: judging whether to generate correction instructions for each recording sub-strategy according to the preset feedback time node; Among them, when multiple monitoring points are set, they include: Establish a monitoring point sequence A, A=(a 1 , a 2 …a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

[0025] Specifically, multiple monitoring points are established according to different waveform data types required to be collected and combined with phase-shifting device parameters. The waveform data types include but are not limited to: voltage waveform, current waveform, frequency waveform, power waveform and other parameters.

[0026] Specifically, when setting the recording sub-strategy for each monitoring point, it includes: According to the monitoring point sequence A, set a i It is the target monitoring point; Set the monitoring timeline for target monitoring points; Generate multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generate a first-level recording instruction for the target monitoring point according to the preset recording time; Generate a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model of a target monitoring point, wherein the identification sub-model includes a plurality of comparison sub-waveforms; Determine whether to generate a secondary wave recording instruction according to the identification sub-model; Generate the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Generate the recording sub-strategy of each monitoring point in turn.

[0027] Specifically, a historical evaluation value is generated according to the historical fault parameters of the target monitoring point. The larger the historical evaluation value is, the greater the probability of fault waveform data appearing at the target monitoring point is, and the shorter the time interval between adjacent recording time nodes on the corresponding monitoring time axis is.

[0028] Specifically, the first-level data packet records the normal waveform data of the target monitoring point. The normal waveform data of the target monitoring point is collected periodically to provide data support for the subsequent optimization and iteration of the identification sub-model of the target monitoring point.

[0029] Specifically, the first-level recording instruction refers to the periodic collection of waveform data of the target monitoring point during normal operation.

[0030] Specifically, by analyzing the historical recording data of the target monitoring point, a plurality of waveform data under normal operating conditions are generated, thereby establishing a plurality of comparison sub-waveforms, and generating an identification sub-model of the target monitoring point according to all the comparison sub-waveforms.

[0031] Specifically, when determining whether to generate a secondary work instruction based on the identification sub-model, it includes: Obtain real-time waveform data of target monitoring points; Generate an abnormal evaluation value p of real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i -j')<0,Y(i)=0; Preset abnormal evaluation value threshold P1; When p>P1, a secondary work instruction is generated; The waveform data of all monitoring points are collected according to the secondary work instructions, and the secondary data packets of the target monitoring points are generated.

[0032] Specifically, the larger the abnormal evaluation value, the greater the possibility that abnormal waveform data exists at the target monitoring point. When the real-time abnormal evaluation value exceeds the abnormal evaluation value threshold, it means that the current target monitoring point is in an abnormal state and the relevant waveform data needs to be recorded in time.

[0033] Specifically, the secondary wave recording instruction refers to collecting abnormal waveform data of the target monitoring point. At the same time, the monitoring time axis of the target monitoring point is reset according to the time node of data collection completion, that is, the completion time node of the secondary wave recording instruction is used as a wave recording time node.

[0034] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient and the second fixed coefficient, so that each parameter in the model is within the same value range.

[0035] Specifically, in the above embodiment, multiple monitoring points are set according to the equipment parameters of the phase regulator and the category of collected data. By dynamically setting the recording sub-strategy of each monitoring point, the efficiency of collecting abnormal waveform data generated by each monitoring point is improved, providing data support for management personnel to quickly analyze the fault location and fault type.

[0036] In a preferred embodiment of the present application, when setting the storage parameters of each recording data packet, it includes: Set multiple storage cycles; Obtain the primary data packet and the secondary data packet of each monitoring point in the current storage cycle according to the storage time node; Establish the recording data packet sequence B=(b 1 , b 2 …b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the recording data packet sequence B i Recording data packet for the target; Generate target recording data packet storage evaluation value c; c= β i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; The storage parameters of the target recording data packet are set according to the storage evaluation value c; Set the storage parameters of each recording data package in the current storage cycle in sequence.

[0037] Specifically, the data evaluation indicators include but are limited to multiple parameters such as the level of the recording data packet (first-level data packet or second-level data packet), the memory capacity of the waveform data in the data packet, the abnormal value of the waveform data in the data packet, etc. The larger the storage evaluation value, the more abnormal waveform data is in the target recording data packet, and the greater the reference value for the fault analysis of the phase regulator.

[0038] Specifically, the larger the storage evaluation value, the longer the corresponding storage time. When the storage time of the target recording data packet is greater than the storage period, it is compressed or cleared to avoid loss of recording data due to insufficient storage space.

[0039] It can be understood that in the above embodiment, by dynamically setting the storage parameters of each recording data packet, the recording data is backed up in time to ensure the efficient use of storage space and avoid data loss.

[0040] In a preferred embodiment of the present application, when determining whether to generate correction instructions for each recording sub-strategy, the process includes: According to the monitoring point sequence A, set a i It is the monitoring point to be evaluated; Generate the secondary data packet sequence P of the monitoring point to be evaluated at the current feedback time node, P=(p 1 , p 2 …p i …p m1 ), where m1 is the number of secondary data packets of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; p i is the i-th secondary data packet of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; Generate the fault risk value K of each secondary data packet, K=(k 1 ,k 2 …k i …k m1 ), where k i is the secondary data packet p i The failure risk value of The fault risk value sequence K generates the identification evaluation value g of the monitoring point to be evaluated; According to the identification evaluation value g, it is determined whether to generate a first-level correction instruction of the recording sub-strategy corresponding to the monitoring point to be evaluated; Generate the operation evaluation value h of the monitoring point to be evaluated according to the secondary data packet sequence and the fault risk value sequence K; According to the operation evaluation value h, it is determined whether to generate a secondary correction instruction of the recording sub-strategy corresponding to the monitoring point to be evaluated.

[0041] Specifically, the greater the fault risk corresponding to the waveform data in the secondary data packet, the greater its fault risk value.

[0042] Specifically, when generating the recognition evaluation value g, it includes: g = e3 * Q3 * T 1 (i) * (k i - k')] + e4 * Q4 * { T 2 (i) * (k i - k')] / m1}; Wherein, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth weight coefficient; k' is a preset fault risk value threshold; T 1 (i) is a selection coefficient; if (k i - k') > 0; T 1 (i) = 1; if (k i - k') < 0; T1(i) = 0; T 2 (i) is a selection coefficient; if (k i - k') > 0; T 2 (i) = 1 / (ki - k'); if (k i - k') < 0; T 2 (i) = 0; Preset first recognition evaluation value threshold G1; If g < G1, generate a first-level correction instruction for the wave recording sub-strategy corresponding to the monitoring point to be evaluated.

[0043] Specifically, the first-level correction instruction refers to correcting the recognition sub-model within the wave recording sub-strategy corresponding to the monitoring point to be evaluated. By analyzing the collected primary data packets at the current feedback time node and the previous feedback time node, new comparison sub-waveforms are added, and at the same time, each comparison sub-waveform inside the recognition sub-model is analyzed to eliminate some inefficient comparison sub-waveforms. The correction and update of the recognition sub-model are completed, thereby improving the recognition efficiency of the recognition sub-model for abnormal waveforms of the monitoring point to be evaluated.

[0044] Specifically, the fault risk value threshold can be set according to historical parameters.

[0045] Specifically, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter in the model is within the same value range.

[0046] Specifically, when generating the operation evaluation value h of the monitoring point to be evaluated, it includes: h = e5 * Q5 * η i*f i ]+e6*Q6*g; Wherein, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; r2 is the number of operation evaluation indicators; η i is the influencing factor of the i-th operation evaluation index; f i is the reference value of the i-th operation evaluation index generated based on the secondary data packet sequence P; g is the identification evaluation value of the node to be evaluated at the current feedback time node; Preset recognition evaluation value threshold H1; If h>H1, generate the secondary correction instruction of the recording sub-strategy corresponding to the monitoring point to be evaluated.

[0047] Specifically, the secondary correction instruction refers to correcting the monitoring time axis corresponding to the monitoring point to be evaluated, that is, increasing the time interval between two adjacent recording time nodes, thereby reducing the recording frequency for the monitoring point to be evaluated and avoiding too much useless data occupying memory space.

[0048] Specifically, the operation evaluation index includes but is not limited to the number of secondary data packets at the monitoring point, the recognition frequency and other parameters. The larger the operation evaluation value, the higher the waveform stability of the current monitoring point, and the smaller the possibility of abnormal fluctuation.

[0049] Specifically, all parameters in the model are normalized by presetting the fifth fixed coefficient and the sixth fixed coefficient, so that each parameter in the model is within the same value range.

[0050] It can be understood that, in the above embodiment, by periodically correcting the recording sub-strategy of each monitoring point, it is possible to avoid missing or erroneous recording due to unreasonable setting of trigger conditions, thereby improving the efficiency of fault recording for phase regulators.

[0051] Based on another preferred embodiment of a phase regulator fault recording method in any of the above preferred embodiments, this preferred embodiment provides a phase regulator fault recording system, which is characterized by comprising: The central control unit is used to set multiple monitoring points according to the equipment parameters of the phase regulator; The acquisition unit includes a plurality of acquisition submodules, which are arranged at each monitoring point, and the acquisition unit user acquires waveform data of each monitoring point; The central control unit includes: The first processing module is used to set the recording sub-strategy of each monitoring point; The storage module is used to obtain the recording data packets of each monitoring point and set the storage parameters of each recording data packet; A correction module, used to determine whether to generate correction instructions for each recording sub-strategy according to a preset feedback time node; The second processing module is used to establish a monitoring point sequence A, A=(a 1 , a 2 …a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

[0052] Specifically, the power supply module of the fault recording system is preferably a combined power supply device to ensure that the recording device can still work normally in the event of a main power failure.

[0053] In a preferred embodiment of the present application, the prime number first processing module is further used for: According to the monitoring point sequence A, set a i It is the target monitoring point; Set the monitoring timeline for target monitoring points; Generate multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generate a first-level recording instruction for the target monitoring point according to the preset recording time; Generate a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model of a target monitoring point, wherein the identification sub-model includes a plurality of comparison sub-waveforms; Determine whether to generate a secondary wave recording instruction according to the identification sub-model; Generate the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Generate the recording sub-strategy of each monitoring point in turn; Wherein, judging whether to generate a secondary work instruction according to the identification sub-model includes: Obtain real-time waveform data of target monitoring points; Generate an abnormal evaluation value p of real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i-j')<0,Y(i)=0; Preset abnormal evaluation value threshold P1; When p>P1, a secondary work instruction is generated; The waveform data of all monitoring points are collected according to the secondary work instructions, and the secondary data packets of the target monitoring points are generated.

[0054] In the preferred implementation of the embodiment of the present application, the storage module is also used for: Set multiple storage cycles; Obtain the primary data packet and the secondary data packet of each monitoring point in the current storage cycle according to the storage time node; Establish the recording data packet sequence B=(b 1 , b 2 …b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the recording data packet sequence B i Recording data packet for the target; Generate target recording data packet storage evaluation value c; c= β i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; The storage parameters of the target recording data packet are set according to the storage evaluation value c; Set the storage parameters of each recording data package in the current storage cycle in sequence.

[0055] According to the first concept of the present application, multiple monitoring points are set according to the equipment parameters of the phase regulator and the category of collected data. By dynamically setting the recording sub-strategy of each monitoring point, the efficiency of collecting abnormal waveform data generated by each monitoring point is improved, providing data support for management personnel to quickly analyze the fault location and fault type.

[0056] According to the second concept of the present application, by dynamically setting the storage parameters of each recording data packet, the recording data is backed up in time to avoid data loss. By periodically correcting the recording sub-strategy of each monitoring point, it is avoided that the missed or wrong recording is caused by unreasonable setting of trigger conditions, thereby improving the efficiency of fault recording for phase regulators.

[0057] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for recording faults of a phase regulator, characterized in that: including: Setting multiple monitoring points according to the device parameters of the synchronous condenser, and setting the recording sub-strategies for each monitoring point; Obtaining the recording data packets of each monitoring point, and setting the storage parameters of each recording data packet; Judging whether to generate a correction instruction for each recording sub-strategy according to a preset feedback time node; Among them, when setting multiple monitoring points, it includes: Establish a monitoring point sequence A, A=(a1, a2…a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

2. The method for recording faults of a phase regulator according to claim 1, characterized in that: When setting the recording sub-strategies for each monitoring point, it includes: According to the monitoring point sequence A, set a i It is the target monitoring point; Setting the monitoring time axis of the target monitoring point; Generating multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generating a first-level recording instruction for the target monitoring point according to a preset recording time; Generating a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model for the target monitoring point, where the identification sub-model includes multiple comparison sub-waveforms; Judging whether to generate a second-level recording instruction according to the identification sub-model; Generating the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Sequentially generating the recording sub-strategies of each monitoring point.

3. The fault recording method of a phase regulator according to claim 2, characterized in that: When judging whether to generate a second-level working instruction according to the identification sub-model, it includes: Obtaining the real-time waveform data of the target monitoring point; Generating an abnormal evaluation value p of the real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i -j')<0,Y(i)=0; Presetting an abnormal evaluation value threshold P1; When p > P1, generating a second-level working instruction; Collecting the waveform data of all monitoring points according to the second-level working instruction, and generating a second-level data packet of the target monitoring point.

4. The method for recording faults of a phase regulator according to claim 3, characterized in that: When setting the storage parameters of each recording data packet, it includes: Setting multiple storage cycles; Obtaining the first-level data packets and second-level data packets of each monitoring point within the current storage cycle according to the storage time node; Establish a recording data packet sequence B = (b1, b2…b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the recording data packet sequence B i Recording data packet for the target; Generating a storage evaluation value c of the target recording data packet; c= b i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; Setting the storage parameters of the target recording data packet according to the storage evaluation value c; Sequentially setting the storage parameters of each recording data packet within the current storage cycle.

5. The method for recording faults of a phase regulator according to claim 3, characterized in that: When judging whether to generate a correction instruction for each recording sub-strategy, it includes: According to the monitoring point sequence A, set a i It is the monitoring point to be evaluated; Generate the secondary data packet sequence P of the monitoring point to be evaluated at the current feedback time node, P=(p1, p2…p i …p m1 ), where m1 is the number of secondary data packets of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; p i is the i-th secondary data packet of the monitoring point to be evaluated within the time interval between the current feedback time node and the previous feedback time node; Generate the fault risk value K of each secondary data packet, K=(k1,k2…k i …k m1 ), where k i is the secondary data packet p i The failure risk value of Generating an identification evaluation value g of the monitoring point to be evaluated from the failure risk value sequence K; Judging whether to generate a first-level correction instruction for the recording sub-strategy corresponding to the monitoring point to be evaluated according to the identification evaluation value g; Generating an operation evaluation value h of the monitoring point to be evaluated from the second-level data packet sequence and the failure risk value sequence K; Judging whether to generate a second-level correction instruction for the recording sub-strategy corresponding to the monitoring point to be evaluated according to the operation evaluation value h.

6. The method for recording faults of a phase regulator according to claim 5, characterized in that: When generating the identification evaluation value g, it includes: g=e3*Q3*[ T1(i)*(k i -k')]+e4*Q4*{ T2(i)*(k i -k')] / m1}; Wherein, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth weight coefficient; k' is the preset fault risk value threshold; T1(i) is the selection coefficient; if (k i -k')>0; T1(i)=1; if (k i -k')<0; T1(i)=0; T2(i) is the selection coefficient; if (k i -k')>0; T2(i)=1 / (ki-k'); if (k i -k')<0; T2(i)=0; Presetting a first identification evaluation value threshold G1; If g < G1, generating a first-level correction instruction for the recording sub-strategy corresponding to the monitoring point to be evaluated.

7. The method for recording faults of a phase regulator according to claim 6, characterized in that: When generating the operation evaluation value h of the monitoring point to be evaluated, it includes: h=e5*Q5*[ η i *f i ]+e6*Q6*g; Wherein, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; r2 is the number of operation evaluation indicators; η i is the influencing factor of the i-th operation evaluation index; f i is the reference value of the i-th operation evaluation index generated based on the secondary data packet sequence P; g is the identification evaluation value of the node to be evaluated at the current feedback time node; Presetting an identification evaluation value threshold H1; If h > H1, generating a second-level correction instruction for the recording sub-strategy corresponding to the monitoring point to be evaluated.

8. A phase regulator fault recording system, using the phase regulator fault recording method according to any one of claims 1 to 7, characterized in that: including: A central control unit, used for setting multiple monitoring points according to the device parameters of the synchronous condenser; An acquisition unit, including multiple acquisition sub-modules, where the acquisition sub-modules are arranged at each monitoring point, and the acquisition unit is used for acquiring the waveform data of each monitoring point; The central control unit includes: A first processing module, used for setting the recording sub-strategies of each monitoring point; A storage module, used for obtaining the recording data packets of each monitoring point, and setting the storage parameters of each recording data packet; A correction module, used to determine whether to generate correction instructions for each recording sub-strategy according to a preset feedback time node; The second processing module is used to establish a monitoring point sequence A, A=(a1, a2…a i …a n ), where a i is the ith monitoring point; n is the number of monitoring points.

9. The phase regulator fault recording system according to claim 8, characterized in that: The prime number first processing module is also used for: According to the monitoring point sequence A, set a i It is the target monitoring point; Set the monitoring timeline for target monitoring points; Generate multiple recording time nodes of the target monitoring point according to the monitoring time axis; Generate a first-level recording instruction for the target monitoring point according to the preset recording time; Generate a first-level data packet of the target monitoring point according to the first-level recording instruction; Establishing an identification sub-model of a target monitoring point, wherein the identification sub-model includes a plurality of comparison sub-waveforms; Determine whether to generate a secondary wave recording instruction according to the identification sub-model; Generate the recording sub-strategy of the target monitoring point according to the monitoring time axis and the identification sub-model; Generate the recording sub-strategy of each monitoring point in turn; Wherein, judging whether to generate a secondary work instruction according to the identification sub-model includes: Obtain real-time waveform data of target monitoring points; Generate an abnormal evaluation value p of real-time waveform data according to the identification sub-model; p=e1*Q1* j i / θ]+e2*Q2* Y(i)*(j i -j')]; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of contrast sub-waveforms in the identification sub-model; j i is the difference between the real-time waveform data and the i-th waveform data; j' is the difference threshold; Y(i) is the selection coefficient; if (j i -j')>0,Y(i)=1; if(j i -j')<0,Y(i)=0; Preset abnormal evaluation value threshold P1; When p>P1, a secondary work instruction is generated; The waveform data of all monitoring points are collected according to the secondary work instructions, and the secondary data packets of the target monitoring points are generated.

10. The phase regulator fault recording system according to claim 9, characterized in that: The storage module is also used for: Set multiple storage cycles; Obtain the primary data packet and the secondary data packet of each monitoring point in the current storage cycle according to the storage time node; Establish a recording data packet sequence B = (b1, b2…b i …b m ), where b i is the i-th recording data packet; m is the number of recording data packets in the current storage period; Set b in sequence according to the number of recorded data packets B i Recording data packet for the target; Generate target recording data packet storage evaluation value c; c= b i *d i; Among them, r1 is the number of data evaluation indicators; β i is the influencing factor of the i-th data evaluation index; d i is the reference value of the i-th data evaluation index in the target recording data packet; The storage parameters of the target recording data packet are set according to the storage evaluation value c; Set the storage parameters of each recording data package in the current storage period in sequence.

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