CN117076241B - Equipment information management system and method for realizing field station global state supervision - Google Patents

Equipment information management system and method for realizing field station global state supervision Download PDF

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CN117076241B
CN117076241B CN202311048551.0A CN202311048551A CN117076241B CN 117076241 B CN117076241 B CN 117076241B CN 202311048551 A CN202311048551 A CN 202311048551A CN 117076241 B CN117076241 B CN 117076241B
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generator
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CN117076241A (en
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谭海斌
蔡彬
靳羽鑫
蒙菊
贾静
刘奕伶
周磊
王宝乐
李燕
刘露莎
王鹤
于海
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State Grid Smart Grid Research Institute Co ltd
Xianyang Power Supply Co Of State Grid Shaanxi Electric Power Co ltd
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Xianyang Power Supply Co Of State Grid Shaanxi Electric Power Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring

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Abstract

The invention discloses a device information management system and method for realizing field station global state supervision, and belongs to the technical field of device information management. The invention comprises the following steps: s10: monitoring abnormal equipment in the station according to the operation data of the equipment in the station and the environment information of the equipment in the station, and determining the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment; s20: predicting whether potential faults exist in the power generation equipment and the power transformation equipment according to the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment determined in the step S10; s30: and (3) maintaining and managing the power transformation equipment and the power generation equipment in the station, and updating the history information corresponding to each equipment according to the maintenance management result. The invention predicts whether potential faults exist in the power generation equipment and the power transformation equipment in the station, and further improves the supervision degree of the system on the station.

Description

Equipment information management system and method for realizing field station global state supervision
Technical Field
The invention relates to the technical field of equipment information management, in particular to an equipment information management system and method for realizing field station global state supervision.
Background
As the scale of power grid equipment grows year by year, the requirements on equipment complexity and technical level are dramatically increased, and the situation that equipment management requirements are not matched with the number and the capability of technicians becomes a major contradiction.
At present, when global state supervision is implemented on a station, the station needs to be divided into a plurality of supervision areas, abnormal conditions supervised in each supervision area are concentrated to a central processing unit in the supervision process, analysis processing of the abnormal conditions is achieved, operation data interaction between devices in different supervision areas cannot be achieved, so that when the abnormal conditions are analyzed and processed, the devices related to the abnormal data cannot be rapidly positioned, analysis processing rate is reduced, and potential anomalies existing in other supervision areas cannot be predicted according to the abnormal data in a certain supervision area, supervision effects of the station are reduced, and therefore efficient supervision on the global state of the station cannot be achieved.
Disclosure of Invention
The present invention is directed to a device information management system and method for implementing global status supervision of a station, so as to solve the problems set forth in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a device information management method for implementing site global state supervision, the method comprising:
s10: monitoring abnormal equipment in the station according to the operation data of the equipment in the station and the environment information of the equipment in the station, and determining the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment;
S20: predicting whether potential faults exist in the power generation equipment and the power transformation equipment according to the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment determined in the step S10;
s30: and (3) maintaining and managing the power transformation equipment and the power generation equipment in the station, and updating the history information corresponding to each equipment according to the maintenance management result.
Further, the step S10 includes:
S101: the working voltage generated by the generator and the prime motor in the station at each moment in the operation time period and the working voltage generated by the transformer at each moment in the operation time period are obtained, and the environmental temperature of each device in the station at each moment in the operation time period is obtained;
S102: according to the environmental temperature of the prime mover in the station at each moment in the operation time period, the combustion coefficient corresponding to each moment in the operation time period of the prime mover is calculated, the operation time period of the power generation equipment (the power generation equipment comprises a generator and the prime mover) is divided at a time interval e, and a specific calculation formula is as follows: β t=α*(T0/Tt), wherein t=1, 2, …, u represents the number corresponding to each operation time division point, u represents the total number of operation time division points, β t represents the combustion coefficient corresponding to the T-th time division point of the prime mover, α represents the standard combustion coefficient corresponding to the prime mover, T 0 represents the temperature value corresponding to the prime mover under the standard combustion coefficient, and T t represents the temperature value corresponding to the T-th time division point of the prime mover;
Calculating exciting current values corresponding to all moments of a generator in running time according to the environmental temperature of the generator in a station in the running time, wherein U t represents voltage values corresponding to all moments of the generator in the T-th time division point, gamma represents a resistance temperature coefficient corresponding to an exciting coil in the generator, T '- t represents a temperature value corresponding to the generator in the T-th time division point, T' - 0 represents a temperature value corresponding to the generator in standard power generation, R 0 represents a resistance value corresponding to the generator in standard power generation, and I t represents an exciting current value corresponding to the generator in the T-th time division point;
predicting the power generation amount of the power generation equipment according to the calculated combustion coefficient and excitation current value, wherein D t=βt is equal to W is equal to t e (1-H), W represents the corresponding active power of the prime mover in a standard state, H represents the corresponding energy loss coefficient before the electric quantity is output by the power generation unit, D t represents the total power generation amount corresponding to the t-th time division point of the predicted power generation equipment, the predicted power generation amount is compared with the power generation amount S actually output by the power generation unit, if D is smaller than S, the operation of the prime mover is abnormal, if D=S and the total power 2=(βt*W)2+(Ut*It)2 are equal, the operation of the prime mover and the power generator is normal, if D=S and the total power 2≠(βt*W)2+(Ut*It)2 are equal, the operation of the power generator is abnormal, and if D is larger than S, the operation of the power generator is abnormal;
When judging that the operation of the generator or the prime mover is abnormal, determining a mint value at the moment, [ mint ×e+e, t ' ×e+e ] is an abnormal motion time period of the generator or the prime mover, E represents a corresponding time point when the power generation equipment is started, t ' =e+ maxt represents a corresponding divided time point number when the generator or the prime mover is in normal operation, acquiring an operating voltage value of the generator or the prime mover in the time period [ mint ×e+e, t ' ×e+e ], wherein the acquired operating voltage value is abnormal operation data of the prime mover or the generator, for example, judging that the generator is abnormal in motion when t=2, judging that the generator is normal when t=8, and judging that the starting time point of the generator is 2022 months No. 15:02, wherein mint =2, maxt=7, and the abnormal operation time period of the generator is [2×e+e,8×e+e ];
S103: and (3) according to the working voltages of the transformer, which are obtained in the step (S101), generated at all times in the operation time period, and the environment temperature of the transformer at all times in the motion time period, predicting the operation state of the transformer at all times in the operation time period, wherein the operation time of the power generation equipment is consistent with that of the transformer.
Further, a specific prediction formula for predicting the operation state of the transformer at each moment in the operation time period in S103 is as follows:
Ft=(N2/N1)-[U´1t/(U´2t+(`Tt-T Label (C) )*a*U´1t)];
Wherein N 2 represents the number of turns of the secondary winding of the transformer, N 1 represents the number of turns of the primary winding of the transformer, U '1t represents the voltage value corresponding to the division point of the primary winding of the transformer at the T-th time, U' 2 represents the voltage value corresponding to the division point of the secondary winding of the transformer at the T-th time, a represents the average change value corresponding to the conversion efficiency of the transformer at unit temperature, T Label (C) represents the maximum temperature value corresponding to the conversion efficiency of the transformer at the standard, T t represents the temperature value corresponding to the division point of the transformer at the T-th time, F t represents the predicted running state value of the transformer at the T-th time, if F t =0, the transformer is in the normal running state, if F t is less than 0 or F t is greater than 0, the abnormal running of the output end and the input end of the transformer is shown;
when the input end or the output end of the transformer is judged to be abnormal, the min't value is determined, min't ' e+E, t ' e+E ] is an abnormal movement time period of the transformer, E represents a corresponding time point when power generation equipment is started, t ' = e+max't represents a corresponding dividing time point number when the transformer is in normal operation, the working voltage value of the transformer in the time period of min't ' e+E, t ' e+E ] is acquired, and the acquired working voltage value is abnormal operation data of the transformer.
Further, the step S20 includes:
S210: acquiring the abnormal operation data and the abnormal operation time of the prime mover or the generator acquired in the S102 and the abnormal operation data and the abnormal operation time of the transformer acquired in the S103, judging whether the abnormal operation time of the prime mover, the generator and the transformer are consistent, if so, judging whether the abnormal reasons among the devices are the same according to the acquired abnormal operation data, if so, the prime mover, the generator or the transformer has no potential faults, if not, the prime mover, the generator or the transformer has potential faults, and if not, predicting the potential fault time of the prime mover, the generator or the transformer according to the acquired abnormal operation data;
S202: when the abnormal operation time of the generator and the transformer is consistent, if U t*k*m=U´1t and F t =0, the abnormal reasons of the generator and the transformer are the same, and at the moment, potential faults do not exist between the generator and the transformer, wherein k represents the erection length of a cable between a power station and a transformer substation, m represents the energy conversion coefficient corresponding to the cable with unit length, and if U t*k*m≠U´1t, the abnormal reasons of the generator and the transformer are different, and at the moment, the potential faults exist between the generator and the transformer;
When the abnormal operation time of the prime motor is consistent with that of the power generator, if the total power 2=(βt*W)2+(Ut*It)2 is the same, the abnormal reasons of the power generator and the prime motor are the same, at the moment, potential faults exist between the prime motor and the power generator, if the total power 2≠(βt*W)2+(Ut*It)2 is different, the abnormal reasons of the power generator and the transformer are different, at the moment, the potential faults exist between the power generator and the prime motor;
s203: when abnormal operation time of the prime motor, the generator and the transformer is inconsistent, judging whether the abnormal operation data corresponding to each device has a mutation value, wherein the mutation value is larger than or equal to b×min, and if so, the abnormal operation data corresponding to the device indicates that the prime motor, the generator and the transformer have potential faults, and if not, the abnormal operation data corresponding to the prime motor, the generator and the transformer do not have potential faults, and b indicates a proportionality coefficient.
Further, the step S30 performs maintenance processing on the abnormal device before the abnormal operation time according to the abnormal operation time corresponding to the abnormal device determined in the steps S102 and S103, performs maintenance processing on the power generation device and the power transformation device before the predicted latent failure time according to the latent failure time of the power generation device and the power transformation device predicted in the steps S202 and S203, and updates the history information corresponding to each device according to the maintenance pipe result, where the power transformation device represents the transformer.
The system comprises a power generation supervision module, a power transformation supervision module, an operation data interaction module and a device information management module;
The power generation monitoring module is used for monitoring the operation state of the power generation equipment through the operation data of the power generation equipment, and transmitting the abnormal operation data of the power generation equipment to the operation data interaction module according to the monitoring result;
The power transformation supervision module is used for supervising the operation state of the power transformation equipment according to the operation data of the power transformation equipment, and transmitting the abnormal operation data of the power transformation equipment to the operation data interaction module according to the supervision result;
The operation data interaction module is used for predicting abnormal time and probability of other equipment according to abnormal operation data transmitted by the power generation supervision module, the power transformation supervision module and the cable supervision module, and transmitting the predicted time and probability information to the equipment information management module;
the equipment information management module is used for maintaining and managing the corresponding equipment according to the predicted time and the probability information transmitted by the operation data interaction module.
Further, the power generation supervision module comprises a power generation equipment operation data acquisition unit, a power generation equipment supervision unit and a power generation equipment abnormal data determination unit;
The power generation equipment operation data acquisition unit acquires working voltages generated by the generator at all times in an operation time period, acquires environment temperatures of the prime mover and the generator at all times in the operation time period, and transmits the acquired working voltage data and environment temperature values to the power generation equipment supervision unit;
The power generation equipment monitoring unit receives the working voltage data and the environment temperature value transmitted by the power generation equipment operation data acquisition unit, calculates combustion coefficients corresponding to all moments of the prime mover in the operation time period according to the received environment temperature value, calculates exciting current values corresponding to all moments of the generator in the operation time according to the received environment temperature value and the working voltage data, predicts the power generation amount of the power generation equipment according to the calculated combustion coefficients and exciting current values, identifies abnormal equipment based on the predicted values, determines the abnormal operation time period of the abnormal equipment, and transmits the determined abnormal equipment and the abnormal operation time period to the power generation equipment abnormal data determination unit and the equipment information management module;
The abnormal data determining unit of the power generation equipment receives the abnormal operation time and the abnormal equipment transmitted by the monitoring unit of the power generation equipment, acquires the abnormal operation data of the abnormal equipment based on the received information, and transmits the acquired abnormal operation data to the operation data interaction module.
Further, the power transformation supervision module comprises a power transformation equipment operation data acquisition unit, a power transformation equipment supervision unit and a power transformation equipment abnormal data determination unit;
The transformer equipment operation data acquisition unit acquires working voltages generated by the transformer at all times in an operation time period, acquires the environment temperature of the transformer at all times in the operation time period, and transmits the acquired working voltage data and environment temperature values to the transformer equipment supervision unit;
The power transformation equipment monitoring unit receives the working voltage data and the environment temperature value transmitted by the power transformation equipment operation data acquisition unit, predicts the operation state of the transformer at each moment in the operation time period according to the received working voltage and environment temperature value corresponding to the transformer, predicts the abnormal operation time of the transformer, and transmits the predicted abnormal operation time to the power transformation equipment abnormal data determination unit and the equipment information management module;
the power transformation equipment abnormal data determining unit receives the abnormal operation time transmitted by the power transformation equipment monitoring unit, determines the abnormal operation data of the transformer based on the received information, and transmits the determined abnormal operation data to the operation data interaction module.
Further, the operation data interaction module comprises a data interaction unit and a supervision and prediction unit;
The data interaction unit receives the abnormal operation data transmitted by the abnormal data determination unit of the power generation equipment and the abnormal operation data transmitted by the abnormal data determination unit of the power transformation equipment, carries out interaction processing on the received abnormal operation data, and transmits an interaction processing result to the supervision and prediction unit;
The supervision and prediction unit receives the interaction processing result transmitted by the data interaction unit, predicts whether potential faults exist in the power generation equipment and the power transformation equipment based on the received information, and transmits the prediction result to the equipment information management module.
Further, the device information management module receives the prediction result transmitted by the supervision and prediction unit, the abnormal operation time and abnormal devices transmitted by the power generation device supervision unit, and the abnormal operation time transmitted by the power transformation device supervision unit, performs maintenance management on the corresponding devices before the abnormal operation time according to the received information, performs comprehensive maintenance management on the corresponding devices according to the prediction result, and updates the history information corresponding to each device according to the information of each device after maintenance management.
Compared with the prior art, the invention has the following beneficial effects:
1. According to the invention, the combustion coefficient of the prime mover is determined through the environmental information of each equipment of the station, the exciting current value of the generator is determined, the generated energy of the power generation equipment is predicted according to the determined combustion coefficient and exciting current value, the running state of the power generation equipment is monitored based on the prediction result, the influence of the environmental temperature on the power generation equipment is eliminated, the monitoring result is ensured to be more in line with the actual situation, the process reduces the acquisition and analysis processing amount of data, and the monitoring efficiency of the system is further improved.
2. According to the invention, the abnormal operation data of the power generation equipment and the power transformation equipment in the station are acquired, and the acquired abnormal operation data are subjected to interactive processing, so that the prediction of whether potential faults exist in the power generation equipment and the power transformation equipment in the station is realized, and the supervision of the system to the station is further improved.
3. The invention firstly carries out regional supervision on the power transformation equipment and the power generation equipment in the station, and then realizes global supervision on the station by combining the association existing between the power transformation equipment and the power generation equipment.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic workflow diagram of a device information management system and method for implementing site global status supervision in accordance with the present invention;
fig. 2 is a schematic structural diagram of the working principle of the device information management system and method for implementing the field station global status supervision according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides the following technical solutions: the device information management method for realizing the field station global state supervision comprises the following steps:
s10: monitoring abnormal equipment in the station according to the operation data of the equipment in the station and the environment information of the equipment in the station, and determining the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment;
S10 comprises the following steps:
S101: the working voltage generated by the generator and the prime motor in the station at each moment in the operation time period and the working voltage generated by the transformer at each moment in the operation time period are obtained, and the environmental temperature of each device in the station at each moment in the operation time period is obtained;
S102: according to the environmental temperature of the prime mover in the station at each moment in the operation time period, the combustion coefficient corresponding to each moment in the operation time period of the prime mover is calculated, the operation time period of the power generation equipment (the power generation equipment comprises a generator and the prime mover) is divided at a time interval e, and a specific calculation formula is as follows: β t=α*(T0/Tt), wherein t=1, 2, …, u represents the number corresponding to each operation time division point, u represents the total number of operation time division points, β t represents the combustion coefficient corresponding to the T-th time division point of the prime mover, α represents the standard combustion coefficient corresponding to the prime mover, T 0 represents the temperature value corresponding to the prime mover under the standard combustion coefficient, and T t represents the temperature value corresponding to the T-th time division point of the prime mover;
Calculating exciting current values corresponding to all moments of a generator in running time according to the environmental temperature of the generator in a station in the running time, wherein U t represents voltage values corresponding to all moments of the generator in the T-th time division point, gamma represents a resistance temperature coefficient corresponding to an exciting coil in the generator, T '- t represents a temperature value corresponding to the generator in the T-th time division point, T' - 0 represents a temperature value corresponding to the generator in standard power generation, R 0 represents a resistance value corresponding to the generator in standard power generation, and I t represents an exciting current value corresponding to the generator in the T-th time division point;
predicting the power generation amount of the power generation equipment according to the calculated combustion coefficient and excitation current value, wherein D t=βt is equal to W is equal to t e (1-H), W represents the corresponding active power of the prime mover in a standard state, H represents the corresponding energy loss coefficient before the electric quantity is output by the power generation unit, D t represents the total power generation amount corresponding to the t-th time division point of the predicted power generation equipment, the predicted power generation amount is compared with the power generation amount S actually output by the power generation unit, if D is smaller than S, the operation of the prime mover is abnormal, if D=S and the total power 2=(βt*W)2+(Ut*It)2 are equal, the operation of the prime mover and the power generator is normal, if D=S and the total power 2≠(βt*W)2+(Ut*It)2 are equal, the operation of the power generator is abnormal, and if D is larger than S, the operation of the power generator is abnormal;
When judging that the operation of the generator or the prime mover is abnormal, determining a mint value at the moment, [ mint ×e+e, t ' ×e+e ] is an abnormal motion time period of the generator or the prime mover, E represents a corresponding time point when the power generation equipment is started, t ' =e+ maxt represents a corresponding divided time point number when the generator or the prime mover is in normal operation, acquiring an operating voltage value of the generator or the prime mover in the time period [ mint ×e+e, t ' ×e+e ], wherein the acquired operating voltage value is abnormal operation data of the prime mover or the generator, for example, judging that the generator is abnormal in motion when t=2, judging that the generator is normal when t=8, and judging that the starting time point of the generator is 2022 months No. 15:02, wherein mint =2, maxt=7, and the abnormal operation time period of the generator is [2×e+e,8×e+e ];
S103: according to the working voltages of the transformers, which are obtained in the step S101, generated at all times in the operation time period, and the environment temperature of the transformers at all times in the motion time period, the operation states of the transformers at all times in the operation time period are predicted, the operation time of the power generation equipment is consistent with that of the transformers, and a specific prediction formula is as follows:
Ft=(N2/N1)-[U´1t/(U´2t+(`Tt-T Label (C) )*a*U´1t)];
Wherein N 2 represents the number of turns of the secondary winding of the transformer, N 1 represents the number of turns of the primary winding of the transformer, U '1t represents the voltage value corresponding to the division point of the primary winding of the transformer at the T-th time, U' 2 represents the voltage value corresponding to the division point of the secondary winding of the transformer at the T-th time, a represents the average change value corresponding to the conversion efficiency of the transformer at unit temperature, T Label (C) represents the maximum temperature value corresponding to the conversion efficiency of the transformer at the standard, T t represents the temperature value corresponding to the division point of the transformer at the T-th time, F t represents the predicted running state value of the transformer at the T-th time, if F t =0, the transformer is in the normal running state, if F t is less than 0 or F t is greater than 0, the abnormal running of the output end and the input end of the transformer is shown;
when the input end or the output end of the transformer is judged to be abnormal, the min't value is determined, min't ' e+E, t ' e+E ] is an abnormal movement time period of the transformer, E represents a corresponding time point when power generation equipment is started, t ' = e+max't represents a corresponding dividing time point number when the transformer is in normal operation, the working voltage value of the transformer in the time period of min't ' e+E, t ' e+E ] is acquired, and the acquired working voltage value is abnormal operation data of the transformer.
S20: predicting whether potential faults exist in the power generation equipment and the power transformation equipment according to the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment determined in the step S10;
S20 includes:
S210: acquiring the abnormal operation data and the abnormal operation time of the prime mover or the generator acquired in the S102 and the abnormal operation data and the abnormal operation time of the transformer acquired in the S103, judging whether the abnormal operation time of the prime mover, the generator and the transformer are consistent, if so, judging whether the abnormal reasons among the devices are the same according to the acquired abnormal operation data, if so, the prime mover, the generator or the transformer has no potential faults, if not, the prime mover, the generator or the transformer has potential faults, and if not, predicting the potential fault time of the prime mover, the generator or the transformer according to the acquired abnormal operation data;
S202: when the abnormal operation time of the generator and the transformer is consistent, if U t*k*m=U´1t and F t =0, the abnormal reasons of the generator and the transformer are the same, and at the moment, potential faults do not exist between the generator and the transformer, wherein k represents the erection length of a cable between a power station and a transformer substation, m represents the energy conversion coefficient corresponding to the cable with unit length, and if U t*k*m≠U´1t, the abnormal reasons of the generator and the transformer are different, and at the moment, the potential faults exist between the generator and the transformer;
When the abnormal operation time of the prime motor is consistent with that of the power generator, if the total power 2=(βt*W)2+(Ut*It)2 is the same, the abnormal reasons of the power generator and the prime motor are the same, at the moment, potential faults exist between the prime motor and the power generator, if the total power 2≠(βt*W)2+(Ut*It)2 is different, the abnormal reasons of the power generator and the transformer are different, at the moment, the potential faults exist between the power generator and the prime motor;
s203: when abnormal operation time of the prime motor, the generator and the transformer is inconsistent, judging whether the abnormal operation data corresponding to each device has a mutation value, wherein the mutation value is larger than or equal to b×min, and if so, the abnormal operation data corresponding to the device indicates that the prime motor, the generator and the transformer have potential faults, and if not, the abnormal operation data corresponding to the prime motor, the generator and the transformer do not have potential faults, and b indicates a proportionality coefficient.
S30: and (3) maintaining and managing the power transformation equipment and the power generation equipment in the station, and updating the history information corresponding to each equipment according to the maintenance management result.
And S30, carrying out maintenance processing on the abnormal equipment before the abnormal operation time according to the abnormal operation time corresponding to the abnormal equipment determined in S102 and S103, carrying out maintenance processing on the power generation equipment and the power transformation equipment before the predicted latent fault time according to the latent fault time of the power generation equipment and the power transformation equipment predicted in S202 and S203, and updating the history information corresponding to each equipment according to a maintenance pipe result, wherein the power transformation equipment represents a transformer.
The system comprises a power generation supervision module, a power transformation supervision module, an operation data interaction module and a device information management module;
The power generation monitoring module is used for monitoring the operation state of the power generation equipment through the operation data of the power generation equipment, and transmitting the abnormal operation data of the power generation equipment to the operation data interaction module according to the monitoring result;
The power generation supervision module comprises a power generation equipment operation data acquisition unit, a power generation equipment supervision unit and a power generation equipment abnormal data determination unit;
The power generation equipment operation data acquisition unit acquires working voltages generated by the generator at all times in an operation time period, acquires the ambient temperatures of the prime mover and the generator at all times in the operation time period, and transmits the acquired working voltage data and ambient temperature values to the power generation equipment supervision unit;
The power generation equipment supervision unit receives the working voltage data and the environment temperature value transmitted by the power generation equipment operation data acquisition unit, calculates combustion coefficients corresponding to all moments of the prime mover in the operation time period according to the received environment temperature value, calculates exciting current values corresponding to all moments of the generator in the operation time according to the received environment temperature value and the working voltage data, predicts the power generation amount of the power generation equipment according to the calculated combustion coefficients and exciting current values, identifies abnormal equipment based on the predicted values, determines the abnormal operation time period of the abnormal equipment, and transmits the determined abnormal equipment and the abnormal operation time period to the power generation equipment abnormal data determination unit and the equipment information management module;
The power generation equipment abnormal data determining unit receives the abnormal operation time and the abnormal equipment transmitted by the power generation equipment monitoring unit, acquires the abnormal operation data of the abnormal equipment based on the received information, and transmits the acquired abnormal operation data to the operation data interaction module;
the power transformation supervision module is used for supervising the operation state of the power transformation equipment according to the operation data of the power transformation equipment, and transmitting the abnormal operation data of the power transformation equipment to the operation data interaction module according to the supervision result;
the power transformation supervision module comprises a power transformation equipment operation data acquisition unit, a power transformation equipment supervision unit and a power transformation equipment abnormal data determination unit;
The transformer equipment operation data acquisition unit acquires working voltages generated by the transformer at all times in an operation time period, acquires the environment temperature of the transformer at all times in the operation time period, and transmits the acquired working voltage data and environment temperature values to the transformer equipment supervision unit;
The power transformation equipment monitoring unit receives the working voltage data and the environmental temperature value transmitted by the power transformation equipment operation data acquisition unit, predicts the operation state of the transformer at each moment in the operation time period according to the received working voltage and the environmental temperature value corresponding to the transformer, predicts the abnormal operation time of the transformer, and transmits the predicted abnormal operation time to the power transformation equipment abnormal data determination unit and the equipment information management module;
The abnormal operation data determining unit of the transformer equipment receives the abnormal operation time transmitted by the monitoring unit of the transformer equipment, determines abnormal operation data of the transformer based on the received information, and transmits the determined abnormal operation data to the operation data interaction module.
The operation data interaction module is used for predicting abnormal time and probability of other equipment according to the abnormal operation data transmitted by the power generation supervision module, the power transformation supervision module and the cable supervision module, and transmitting the predicted time and probability information to the equipment information management module;
the operation data interaction module comprises a data interaction unit and a supervision and prediction unit;
The data interaction unit receives the abnormal operation data transmitted by the abnormal data determination unit of the power generation equipment and the abnormal operation data transmitted by the abnormal data determination unit of the power transformation equipment, carries out interaction processing on the received abnormal operation data, and transmits an interaction processing result to the supervision and prediction unit;
The supervision and prediction unit receives the interaction processing result transmitted by the data interaction unit, predicts whether potential faults exist in the power generation equipment and the power transformation equipment based on the received information, and transmits the prediction result to the equipment information management module.
The equipment information management module is used for maintaining and managing the corresponding equipment according to the predicted time and the probability information transmitted by the operation data interaction module.
The equipment information management module receives the prediction result transmitted by the supervision and prediction unit, the abnormal operation time and abnormal equipment transmitted by the power generation equipment supervision unit and the abnormal operation time transmitted by the power transformation equipment supervision unit, performs maintenance and management on corresponding equipment before the abnormal operation time according to the received information, performs comprehensive maintenance and management on the corresponding equipment according to the prediction result, and updates the history information corresponding to each equipment according to the information of each equipment after maintenance and management.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The device information management method for realizing the field station global state supervision is characterized by comprising the following steps of: the method comprises the following steps:
s10: monitoring abnormal equipment in the station according to the operation data of the equipment in the station and the environment information of the equipment in the station, and determining the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment;
The S10 includes:
S101: the working voltage generated by the generator and the prime motor in the station at each moment in the operation time period and the working voltage generated by the transformer at each moment in the operation time period are obtained, and the environmental temperature of each device in the station at each moment in the operation time period is obtained;
S102: according to the environmental temperature of the prime mover in the station at each moment in the operation time period, the combustion coefficient corresponding to each moment in the operation time period of the prime mover is calculated, the operation time period of the power generation equipment is divided by a time interval e, and the e=1 min, and the specific calculation formula is as follows: β t=α*(T0/Tt), wherein t=1, 2, …, u represents the number corresponding to each operation time division point, u represents the total number of operation time division points, β t represents the combustion coefficient corresponding to the T-th time division point of the prime mover, α represents the standard combustion coefficient corresponding to the prime mover, T 0 represents the temperature value corresponding to the prime mover under the standard combustion coefficient, and T t represents the temperature value corresponding to the T-th time division point of the prime mover;
Calculating exciting current values corresponding to all moments of a generator in running time according to the environmental temperature of the generator in a station in the running time, wherein U t represents voltage values corresponding to all moments of the generator in the T-th time division point, gamma represents a resistance temperature coefficient corresponding to an exciting coil in the generator, T '- t represents a temperature value corresponding to the generator in the T-th time division point, T' - 0 represents a temperature value corresponding to the generator in standard power generation, R 0 represents a resistance value corresponding to the generator in standard power generation, and I t represents an exciting current value corresponding to the generator in the T-th time division point;
predicting the power generation amount of the power generation equipment according to the calculated combustion coefficient and excitation current value, wherein D t=βt is equal to W is equal to t e (1-H), W represents the corresponding active power of the prime mover in a standard state, H represents the corresponding energy loss coefficient before the electric quantity is output by the power generation unit, D t represents the total power generation amount corresponding to the t-th time division point of the predicted power generation equipment, the predicted power generation amount is compared with the power generation amount S actually output by the power generation unit, if D is smaller than S, the operation of the prime mover is abnormal, if D=S and the total power 2=(βt*W)2+(Ut*It)2 are equal, the operation of the prime mover and the power generator is normal, if D=S and the total power 2≠(βt*W)2+(Ut*It)2 are equal, the operation of the power generator is abnormal, and if D is larger than S, the operation of the power generator is abnormal;
When judging that the operation of the generator or the prime motor is abnormal, determining mint values at the moment, wherein [ mint ×e+e, t ' -e+e ] is an abnormal motion time period of the generator or the prime motor, E represents a corresponding time point when the power generation equipment is started, t ' =e+ maxt represents a corresponding dividing time point number when the generator or the prime motor is in normal operation, and acquiring an operating voltage value of the generator or the prime motor in the [ mint ×e+e, t ' -e+e ] time period, wherein the acquired operating voltage value is abnormal operation data of the prime motor or the generator;
S103: according to the working voltages of the transformers, which are obtained in the step S101, generated at all times in the operation time period, and the environment temperature of the transformers at all times in the movement time period, the operation states of the transformers at all times in the operation time period are predicted, the operation time of the power generation equipment is consistent with that of the transformers, and a specific prediction formula is as follows:
Ft=(N2/N1)-[U´1t/(U´2t+(`Tt-T Label (C) )*a*U´1t)];
Wherein N 2 represents the number of turns of the secondary winding of the transformer, N 1 represents the number of turns of the primary winding of the transformer, U '1t represents the voltage value corresponding to the division point of the primary winding of the transformer at the T-th time, U' 2 represents the voltage value corresponding to the division point of the secondary winding of the transformer at the T-th time, a represents the average change value corresponding to the conversion efficiency of the transformer at unit temperature, T Label (C) represents the maximum temperature value corresponding to the conversion efficiency of the transformer at the standard, T t represents the temperature value corresponding to the division point of the transformer at the T-th time, F t represents the predicted running state value of the transformer at the T-th time, if F t =0, the transformer is in the normal running state, if F t is less than 0 or F t is greater than 0, the abnormal running of the output end and the input end of the transformer is shown;
When the input end or the output end of the transformer is judged to be abnormal, determining a min't value at the moment, wherein [ min't ' e+E, t ' e+E ] is an abnormal movement time period of the transformer, E represents a corresponding time point when power generation equipment is started, t ' = e+max't represents a corresponding dividing time point number when the transformer is normally operated, and acquiring a working voltage value of the transformer in the time period of [ min't ' e+E, t ' e+E ] of the transformer, wherein the acquired working voltage value is abnormal operation data of the transformer;
S20: predicting whether potential faults exist in the power generation equipment and the power transformation equipment according to the abnormal operation time and the abnormal operation data corresponding to the abnormal equipment determined in the step S10;
The S20 includes:
S210: acquiring the abnormal operation data and the abnormal operation time of the prime mover or the generator acquired in the S102 and the abnormal operation data and the abnormal operation time of the transformer acquired in the S103, judging whether the abnormal operation time of the prime mover, the generator and the transformer are consistent, if so, judging whether the abnormal reasons among the devices are the same according to the acquired abnormal operation data, if so, the prime mover, the generator or the transformer has no potential faults, if not, the prime mover, the generator or the transformer has potential faults, and if not, predicting the potential fault time of the prime mover, the generator or the transformer according to the acquired abnormal operation data;
S202: when the abnormal operation time of the generator and the transformer is consistent, if U t*k*m=U´1t and F t =0, the abnormal reasons of the generator and the transformer are the same, and at the moment, potential faults do not exist between the generator and the transformer, wherein k represents the erection length of a cable between a power station and a transformer substation, m represents the energy conversion coefficient corresponding to the cable with unit length, and if U t*k*m≠U´1t, the abnormal reasons of the generator and the transformer are different, and at the moment, the potential faults exist between the generator and the transformer;
When the abnormal operation time of the prime motor is consistent with that of the power generator, if the total power 2=(βt*W)2+(Ut*It)2 is the same, the abnormal reasons of the power generator and the prime motor are the same, at the moment, potential faults exist between the prime motor and the power generator, if the total power 2≠(βt*W)2+(Ut*It)2 is different, the abnormal reasons of the power generator and the transformer are different, at the moment, the potential faults exist between the power generator and the prime motor;
S203: when abnormal operation time of the prime motor, the generator and the transformer is inconsistent, judging whether the abnormal operation data corresponding to each device has a mutation value, wherein the mutation value is more than or equal to b×min, if so, the prime motor, the generator and the transformer have potential faults, if not, the prime motor, the generator and the transformer have no potential faults, and b represents a proportionality coefficient;
s30: and (3) maintaining and managing the power transformation equipment and the power generation equipment in the station, and updating the history information corresponding to each equipment according to the maintenance management result.
2. The device information management method for implementing site global status supervision according to claim 1, wherein: and S30, according to the abnormal operation time corresponding to the abnormal equipment determined in S102 and S103, carrying out maintenance processing on the abnormal equipment before the abnormal operation time, according to the predicted potential failure time of the power generation equipment and the power transformation equipment in S202 and S203, carrying out maintenance processing on the power generation equipment and the power transformation equipment before the predicted potential failure time, and updating the history information corresponding to each equipment according to a maintenance pipe result, wherein the power transformation equipment represents a transformer.
3. A device information management system for implementing a site global status supervision applied to the device information management method for implementing a site global status supervision as claimed in any one of claims 1 to 2, characterized by: the system comprises a power generation supervision module, a power transformation supervision module, an operation data interaction module and an equipment information management module;
The power generation monitoring module is used for monitoring the operation state of the power generation equipment through the operation data of the power generation equipment, and transmitting the abnormal operation data of the power generation equipment to the operation data interaction module according to the monitoring result;
The power transformation supervision module is used for supervising the operation state of the power transformation equipment according to the operation data of the power transformation equipment, and transmitting the abnormal operation data of the power transformation equipment to the operation data interaction module according to the supervision result;
The operation data interaction module is used for predicting abnormal time and probability of other equipment according to abnormal operation data transmitted by the power generation supervision module, the power transformation supervision module and the cable supervision module, and transmitting the predicted time and probability information to the equipment information management module;
the equipment information management module is used for maintaining and managing the corresponding equipment according to the predicted time and the probability information transmitted by the operation data interaction module.
4. A device information management system for implementing site global state supervision as recited in claim 3, wherein: the power generation supervision module comprises a power generation equipment operation data acquisition unit, a power generation equipment supervision unit and a power generation equipment abnormal data determination unit;
The power generation equipment operation data acquisition unit acquires working voltages generated by the generator at all times in an operation time period, acquires environment temperatures of the prime mover and the generator at all times in the operation time period, and transmits the acquired working voltage data and environment temperature values to the power generation equipment supervision unit;
The power generation equipment monitoring unit receives the working voltage data and the environment temperature value transmitted by the power generation equipment operation data acquisition unit, calculates combustion coefficients corresponding to all moments of the prime mover in the operation time period according to the received environment temperature value, calculates exciting current values corresponding to all moments of the generator in the operation time according to the received environment temperature value and the working voltage data, predicts the power generation amount of the power generation equipment according to the calculated combustion coefficients and exciting current values, identifies abnormal equipment based on the predicted values, determines the abnormal operation time period of the abnormal equipment, and transmits the determined abnormal equipment and the abnormal operation time period to the power generation equipment abnormal data determination unit and the equipment information management module;
The abnormal data determining unit of the power generation equipment receives the abnormal operation time and the abnormal equipment transmitted by the monitoring unit of the power generation equipment, acquires the abnormal operation data of the abnormal equipment based on the received information, and transmits the acquired abnormal operation data to the operation data interaction module.
5. The device information management system for implementing site global state supervision as recited in claim 4, wherein: the power transformation supervision module comprises a power transformation equipment operation data acquisition unit, a power transformation equipment supervision unit and a power transformation equipment abnormal data determination unit;
The transformer equipment operation data acquisition unit acquires working voltages generated by the transformer at all times in an operation time period, acquires the environment temperature of the transformer at all times in the operation time period, and transmits the acquired working voltage data and environment temperature values to the transformer equipment supervision unit;
The power transformation equipment monitoring unit receives the working voltage data and the environment temperature value transmitted by the power transformation equipment operation data acquisition unit, predicts the operation state of the transformer at each moment in the operation time period according to the received working voltage and environment temperature value corresponding to the transformer, predicts the abnormal operation time of the transformer, and transmits the predicted abnormal operation time to the power transformation equipment abnormal data determination unit and the equipment information management module;
the power transformation equipment abnormal data determining unit receives the abnormal operation time transmitted by the power transformation equipment monitoring unit, determines the abnormal operation data of the transformer based on the received information, and transmits the determined abnormal operation data to the operation data interaction module.
6. The device information management system for implementing site global state supervision as recited in claim 4, wherein: the operation data interaction module comprises a data interaction unit and a supervision and prediction unit;
The data interaction unit receives the abnormal operation data transmitted by the abnormal data determination unit of the power generation equipment and the abnormal operation data transmitted by the abnormal data determination unit of the power transformation equipment, carries out interaction processing on the received abnormal operation data, and transmits an interaction processing result to the supervision and prediction unit;
The supervision and prediction unit receives the interaction processing result transmitted by the data interaction unit, predicts whether potential faults exist in the power generation equipment and the power transformation equipment based on the received information, and transmits the prediction result to the equipment information management module.
7. The device information management system for implementing site global state supervision as recited in claim 6, wherein: the equipment information management module receives the prediction result transmitted by the supervision and prediction unit, the abnormal operation time and abnormal equipment transmitted by the power generation equipment supervision unit and the abnormal operation time transmitted by the power transformation equipment supervision unit, performs maintenance and management on corresponding equipment before the abnormal operation time according to the received information, performs comprehensive maintenance and management on the corresponding equipment according to the prediction result, and updates the history information corresponding to each equipment according to the information of each equipment after maintenance and management.
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