CN-121980474-A - Running state monitoring method and system for substation rainwater drainage system

CN121980474ACN 121980474 ACN121980474 ACN 121980474ACN-121980474-A

Abstract

The invention provides a method and a system for monitoring the running state of a substation rainwater drainage system, and relates to the technical field of data processing, wherein the method comprises the steps of collecting original monitoring data of the substation rainwater drainage system; the method comprises the steps of sending original monitoring data to a monitoring platform, judging the mounting position of a sensor, determining an effective monitoring point set, converting the monitoring data in the effective monitoring point set into real-time hydraulic state quantity of corresponding nodes, constructing an online hydraulic digital twin model, inputting the real-time hydraulic state quantity into the online hydraulic digital twin model, outputting a priori hydraulic state, correcting the priori hydraulic state to obtain a continuous hydraulic running state estimation result, extracting state deviation characteristic parameters according to the continuous hydraulic running state estimation result, judging whether the running state of a rainwater drainage system is abnormal according to the state deviation characteristic parameters, outputting the running state monitoring result of the rainwater drainage system if the running state of the rainwater drainage system is abnormal, and continuously monitoring if the running state of the rainwater drainage system is abnormal.

Inventors

CHEN XIAOMING
SUN KE
GU XIN

Assignees

新宜能电气科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260403

Claims (10)

1. A method for monitoring the operation state of a rainwater drainage system of a transformer substation, comprising: S1, collecting original monitoring data of a rainwater drainage system of the transformer substation; S2, transmitting the original monitoring data to a monitoring platform in a low-power-consumption wide-area wireless communication mode; S3, combining the wireless signal intensity parameters, judging the communication availability of the installation position of the sensor, and determining an effective monitoring point set; s4, based on a sensor calibration relation, converting monitoring data in the effective monitoring point set into real-time hydraulic state quantity of a corresponding node; S5, constructing an online hydraulic digital twin model based on the topological structure and hydraulic parameters of the substation rainwater drainage system; s6, inputting the real-time hydraulic state quantity into the online hydraulic digital twin model, and outputting a priori hydraulic state; S7, correcting the prior hydraulic state through a data assimilation algorithm to obtain a continuous hydraulic running state estimation result; S8, extracting state deviation characteristic parameters reflecting the operation characteristics of the rainwater drainage system of the transformer substation according to the continuous hydraulic operation state estimation result; S9, judging whether the running state of the substation rainwater drainage system is abnormal or not according to the state deviation characteristic parameters, if so, entering a step S10, otherwise, returning to the step S1; And S10, outputting the running state monitoring result of the substation rainwater drainage system.
2. The method of claim 1, wherein the raw monitoring data comprises water level related data, time stamp data, flow related data, equipment operating status data, environmental and boundary condition data, and communication and equipment health data.
3. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 1, wherein the step S3 specifically includes: S301, acquiring wireless signal strength parameters of a plurality of candidate monitoring points under underground installation conditions; S302, carrying out additional attenuation correction calculation on each wireless signal intensity parameter based on an underground propagation environment to obtain equivalent received signal intensity; s303, calculating the communication availability score of each candidate monitoring point according to the equivalent received signal strength and combining the energy consumption characteristics of the wireless terminal under different coverage enhancement levels; s304, judging whether each candidate monitoring point meets the uploading reliability requirement or not by combining the communication availability score and the communication availability score threshold value, if so, entering a step S305, otherwise, marking the candidate monitoring point as a low-reliability monitoring point, and rejecting the low-reliability monitoring point; and S305, taking the candidate monitoring points meeting the uploading reliability requirement as effective monitoring points, and outputting the effective monitoring point set.
4. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 1, wherein the step S5 specifically includes: s501, uniformly coding an original pipe section unit and a node unit of the substation rainwater drainage system, and determining an original pipe section-node topology network; S502, defining a structural operator for online updating, and mapping the original pipe section-node topology network into a super pipe section-super node computing unit set based on the structural operator; S503, combining the super pipe section-super node computing unit set, and establishing a continuous hydraulic control model for describing the coupling relation between mass conservation and momentum conservation based on a one-dimensional Save Vietnam equation set; s504, performing space-time discrete on the continuous hydraulic control model by combining staggered grid arrangement and a backward Euler implicit format, and determining a discrete update equation set capable of performing online iteration; S505, using a super node water head as a boundary variable carrier, and constructing boundary flow constraint based on an orifice flow relation; S506, embedding the boundary flow constraint into the discrete updating equation set, and determining a constraint discrete updating equation set; S507, discrete updating the equation set to construct a sparse linear algebraic solving system with the super node water head as a core state variable; s508, defining a digital twin online assimilable state equation based on the sparse linear algebraic solving system; S509, constructing a Kalman assimilation closed loop with twinning-observation consistency based on the online assimilation state equation so as to realize online correction of the super node water head state; s510, based on the on-line corrected super node water head state, combining the hydraulic parameters to construct the on-line hydraulic digital twin model.
5. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 1, wherein the step S6 specifically includes: S601, arranging external inflow data in the real-time hydraulic state quantity according to a node numbering sequence to obtain an inflow input vector of the current time step; S602, sequencing the water head states of all super nodes after online correction in the previous time step according to the node numbering sequence, and determining an initial state vector of the current time step; s603, based on the inflow input vector and the initial state vector, combining a discrete mass conservation equation and a momentum conservation equation, and establishing an implicit recurrence relation of the super node water head in a preset time step; s604, carrying out linear solution on the implicit recurrence relation to obtain a predicted super node water head state vector of the current time step; s605, substituting the predicted super node water head state vector into a super pipe section recurrence relation to determine the upstream and downstream boundary flow of each super pipe section; and S606, outputting the predicted super node water head state vector and the upstream and downstream boundary flow as the prior hydraulic state.
6. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 1, wherein the step S7 specifically includes: S701, collecting water level observation data of each monitoring point, and constructing an observation vector according to the water level observation data; S702, acquiring wireless signal intensity parameters of each monitoring point, and constructing an observation noise covariance matrix according to the wireless signal intensity parameters; S703, taking a predicted super node water head state vector in the prior hydraulic state as a predicted state, and calculating a predicted observation vector by combining an observation mapping matrix; S704, calculating an observation residual according to the observation vector and the predicted observation vector; S705, calculating a Kalman gain matrix based on the observation residual and combining a prediction error covariance matrix and the observation noise covariance matrix; S706, correcting the predicted super node water head state vector according to the Kalman gain matrix to obtain the continuous hydraulic operation state estimation result.
7. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 6, wherein the step S8 specifically includes: s801, combining the observation residual and an innovation covariance matrix to construct dimensionless normalized deviation features; S802, constructing state correction strength characteristics; S803, carrying out differential operation on the dimensionless normalized deviation characteristics to determine time evolution deviation characteristics; s804, calculating a network level deviation energy index according to the predicted super node water head state vector and the continuous hydraulic operation state estimation result; S805, constructing a communication reliability weighting deviation feature based on the wireless signal strength parameter; S806, combining the dimensionless normalized deviation feature, the state correction strength feature, the time evolution deviation feature, the network level deviation energy index and the communication reliability weighted deviation feature to obtain the state deviation feature parameter.
8. The method for monitoring the operation state of the rainwater drainage system of the transformer substation according to claim 1, wherein the operation state monitoring result comprises an abnormality type and a risk level corresponding to the abnormality type.
9. The running state monitoring system of the substation rainwater drainage system is characterized by comprising a processor and a memory; The memory stores a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of monitoring the operational status of a substation stormwater drainage system as claimed in any one of claims 1 to 8.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the method for monitoring the operational status of a substation stormwater drainage system as claimed in any one of claims 1 to 8.

Description

Running state monitoring method and system for substation rainwater drainage system Technical Field The invention relates to the technical field of data processing, in particular to a method and a system for monitoring the running state of a substation rainwater drainage system. Background The rainwater drainage system of the transformer substation is usually composed of a water collecting well, an inspection well, an underground pipe section, a gate/overflow structure, a drainage port and the like, is in an underground hidden environment for a long time and is influenced by factors such as rainfall intensity, water collecting boundary conditions, site topography and the like, and the running state of the rainwater drainage system has obvious time variability and uncertainty. Under the conditions of heavy rainfall, short duration heavy rain or blocked drainage channels, the drainage system can have the phenomena of rapid water level lifting, local reflux, reduced overcurrent capacity and the like, so that risks of standing ponding, immersed equipment foundations, channel submerged, secondary facility damp and the like are caused. On one hand, through the on-line mastering of key node water level, flow and boundary conditions, the timely identification of drainage capacity change, discharge bottleneck position and risk evolution trend can be realized, a quantitative basis is provided for flood control and drainage scheduling, gate control and emergency treatment, and the influence of accumulated water in a station on key parts such as primary equipment, secondary equipment and cable trenches is reduced. Meanwhile, if the monitoring result can further output the abnormal type and the risk level, the monitoring result can also be used for optimizing configuration of operation and maintenance resources, classifying and managing hidden danger and planning a lean maintenance plan, so that the toughness and the reliability of the transformer substation under the extreme rainfall condition are improved. However, underground wireless communication is obviously influenced by installation depth, well chamber structural material shielding and humid environment, and the existing method often does not model the correlation of signal strength, transmission cost and energy consumption characteristics, so that site selection and data reliability of monitoring points are difficult to guarantee, and continuous monitoring quality is further influenced. In addition, in the face of non-stationary working conditions such as sudden inflow of storm and rapid change of boundary conditions, on-line updating and real-time correction are difficult to achieve in a traditional mode based on static rules or an off-line calibration model, continuous state estimation and trend research and judgment capability cannot be formed, stable and reliable risk level output is difficult to be given out in an abnormal early stage, and engineering applicability and popularization value of the system in a flood prevention service of a transformer substation are limited. Disclosure of Invention In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a method for monitoring an operation state of a rainwater drainage system of a substation, which can solve the technical problems that online updating and real-time correction are difficult to achieve, continuous state estimation and trend research and judgment capability cannot be formed, stable and reliable risk level output is difficult to be given out in an abnormal early stage, and engineering applicability and popularization value in a flood prevention service of the substation are limited in a traditional mode based on a static rule or an offline calibration model. In a first aspect of the embodiment of the present invention, a method for monitoring an operation state of a rainwater drainage system of a substation is provided, including: s1, collecting original monitoring data of a rainwater drainage system of a transformer substation; s2, original monitoring data are sent to a monitoring platform in a low-power-consumption wide-area wireless communication mode; S3, combining the wireless signal intensity parameters, judging the communication availability of the installation position of the sensor, and determining an effective monitoring point set; s4, based on the sensor calibration relation, converting monitoring data in the effective monitoring point set into real-time hydraulic state quantity of the corresponding node; S5, constructing an online hydraulic digital twin model based on the topological structure and hydraulic parameters of the substation rainwater drainage system; s6, inputting the real-time hydraulic state quantity into an online hydraulic digital twin model, and outputting a priori hydraulic state; s7, correcting the priori hydraulic state through a data assimilation algorithm to obtain a continuous hydraulic running state estima