CN-122026612-A - Distribution box running state monitoring system and method

CN122026612ACN 122026612 ACN122026612 ACN 122026612ACN-122026612-A

Abstract

The invention relates to the field of monitoring of the running state of a distribution box, and discloses a system and a method for monitoring the running state of the distribution box, wherein the system comprises the steps of collecting temperature, current and environmental humidity signals and constructing a dynamic running feature matrix; the method comprises the steps of forming a special safety threshold library according to a dynamic operation characteristic matrix of each node, combining line attenuation characteristics and switch contact aging states, introducing each node safety threshold as constraint state parameters into a loop analysis framework to construct a multi-layer causal association structure, constructing an extreme operation condition structure based on the multi-layer causal association structure and historical operation characteristics, performing aggregate statistics and entropy characteristic evolution analysis on corresponding operation states to generate a risk candidate list, and performing prospective adjustment of the outputtable power on the nodes on a key causal path according to a conduction result of the safety threshold constraint and the potential risk candidate list in the multi-layer causal association structure to form an operation regulation mechanism.

Inventors

WANG JIN
CAO YUAN
CHENG KE
GENG YUEFENG
HU WANQIANG
YANG XIAOBO
HE DING

Assignees

深圳市迪壹点科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. The method for monitoring the running state of the distribution box is characterized by comprising the following steps of: collecting temperature, current and environmental humidity signals, and combining the coupling relation between the spatial layout positions and the time sampling sequences of the signals to perform offset correction, abnormal suppression and multi-time scale aggregation processing to construct a dynamic feature matrix of the running state evolution of each node along with time; according to the dynamic feature matrix, combining the line attenuation characteristic and the switch contact aging state, calculating the bearable power interval of the node in the current running state, and forming an exclusive safety threshold library of the corresponding node; Based on an exclusive safety threshold library, the safety threshold of each node is used as a constraint state parameter to be introduced into a loop analysis framework, and a multi-layer causal relationship structure is constructed by combining the power conduction paths, load coupling relations and environmental interaction influences among loops; based on the multi-layer causal association structure and the historical operation characteristics, constructing an extreme operation condition structure representing a high humidity environment, a load peak and an external device burst current combination state, performing aggregate statistics and entropy characteristic evolution analysis on the corresponding operation state, and generating a potential risk candidate list corresponding to the abnormal evolution mode; And performing prospective adjustment of the outputtable power on the nodes on the key causal path according to the conduction result of the safety threshold constraint in the multi-layer causal correlation structure and the potential risk candidate list, and dynamically correcting corresponding adjustment parameters to form an operation adjustment mechanism of monitoring, analyzing, predicting and controlling linkage around constraint evolution expansion.
2. The method for monitoring the operation state of a distribution box according to claim 1, wherein the process of constructing a dynamic feature matrix of the operation state of each node evolving with time is as follows: acquiring and forming an original operation data stream through temperature sensors, current sensors and environmental humidity sensors which are arranged at different functional nodes of the distribution box; Based on the spatial position relation of each sensor in the distribution box, performing spatial consistency mapping on the original operation data stream, and eliminating measurement offset introduced by sensor layout difference; synchronously aligning the mapped operation data stream with the time stamp, and adopting a statistical threshold method and a sliding window method to jointly inhibit instantaneous abnormal points; after the abnormal suppression is completed, performing time aggregation treatment on the operation data according to a short time scale, a middle time scale and a long time scale respectively; and organizing the aggregation results under different time scales according to the nodes and the time indexes to form a dynamic feature matrix for representing the evolution of the node operation state.
3. The method for monitoring the operation state of a distribution box according to claim 2, wherein the process of forming the dedicated safety threshold library of the corresponding node is as follows: extracting current amplitude, temperature rise rate and humidity sensitive characteristics of each node under different time scales based on the dynamic characteristic matrix; calculating a line attenuation influence factor by combining the line length, the wire cross section area and the historical load level of a loop where the node is located; constructing a contact aging correction factor based on the operation time, the historical on-off times and the contact temperature rise characteristics of the switching equipment; carrying out joint modeling on the dynamic operation characteristics, the line attenuation influence factors and the contact aging correction factors, and calculating the bearable power interval of the node in the current operation state; And storing and updating the bearable power intervals corresponding to each node to form a node-specific safety threshold library.
4. A method of monitoring the operational status of an electrical distribution box according to claim 3, wherein the step of introducing the node safety thresholds as constraint status parameters into the loop analysis framework comprises the steps of: Reading power constraint intervals corresponding to all nodes from a safety threshold library, and mapping the power constraint intervals into node constraint state parameters; Establishing a loop analysis structure comprising nodes, electrical connection relations and constraint parameters according to the topology structure of the internal loop of the distribution box; In the loop analysis structure, the node safety threshold value is used as a constraint condition to be embedded into a power distribution and state evaluation calculation process, so that a loop analysis framework which simultaneously reflects the characteristics of the loop structure and the constraint state of the node is formed.
5. The method for monitoring the operation state of a distribution box according to claim 4, wherein the process of constructing the multi-layer causal relationship structure is as follows: identifying power conduction paths between loops in a loop analysis framework, and determining direct influence relationships between nodes; Describing a load coupling relation between loops based on the synchronicity and the relativity of load changes of different loops; introducing external environmental factors of environmental humidity and environmental temperature, and analyzing the influence on loop load and node operation state; and hierarchically organizing the node constraint state, the loop power conduction and the environmental influence factors according to the causal hierarchical relationship to form a multi-layer causal association structure.
6. The method for monitoring the operation state of a distribution box according to claim 5, wherein the process of constructing an extreme operation condition structure for representing the combined state of a high humidity environment, a load peak and an external device burst current is as follows: Extracting a typical operation state sample under the conditions of high humidity, sudden load increase and external equipment access from historical operation data; mapping the typical running state sample into a multi-layer causal association structure, and identifying a corresponding node constraint change mode; And (3) carrying out structural expression on the combined states of different polar factors to form an extreme operation condition structure.
7. The method for monitoring the operation state of a distribution box according to claim 6, wherein the process of generating the candidate list of potential risks corresponding to the abnormal evolution mode is as follows: mapping the current running state into an extreme running condition structure, and screening matched extreme state combinations; performing aggregate statistical analysis on the screened running state samples, and calculating the state distribution characteristics of each node; constructing a node running state entropy index based on state distribution characteristics, and analyzing evolution trend along with time; And identifying node combinations with mutation or continuous offset of state entropy, and generating a potential risk candidate list.
8. The method of claim 7, wherein the step of performing a prospective adjustment of the outputtable power of nodes on the critical causal path is: screening candidate nodes related to risk evolution from a potential risk candidate list, and identifying key causal paths corresponding to the candidate nodes in a multi-layer causal association structure; Analyzing the conduction trend of the safety threshold constraint on the critical causal path, and predicting the constraint approximation condition of the candidate node; before the candidate node is predicted to enter a high risk state, prospective adjustment is performed on the outputtable power corresponding to the candidate node.
9. The method for monitoring the operation state of a distribution box according to claim 8, wherein the process of forming the operation regulation mechanism of monitoring, analyzing, predicting and controlling linkage around constraint evolution is as follows: Updating node operation characteristics and constraint state parameters according to the node operation feedback after prospective adjustment; feeding the updated parameters back to the dynamic feature matrix, the safety threshold library and the causal association structure; synchronously correcting the monitoring parameters, the analysis model and the prediction result; By continuously and circularly executing the operation state monitoring, risk identification, constraint conduction analysis and prospective regulation processes, an operation regulation mechanism of monitoring, analysis, prediction and control linkage around constraint evolution development is formed.
10. A system for monitoring the operation state of a distribution box, applied to the method as claimed in any one of claims 1 to 9, comprising: The multisource sensing module is used for collecting temperature, current and environmental humidity signals and generating a dynamic characteristic matrix reflecting the time evolution of the running state of each node; The threshold generation module is used for forming a safe power threshold library corresponding to each node based on the dynamic feature matrix and combining the line attenuation characteristic and the switch contact aging state; the causality construction module is used for introducing the node safety threshold into a loop analysis framework and constructing a multi-layer causality association structure reflecting the relation of power conduction, load coupling and environmental influence; The risk identification module is used for identifying an abnormal evolution state under the extreme operating condition and generating a potential risk candidate list based on the multi-layer causal association structure and the historical operating characteristics; And the prospective regulation and control module is used for implementing prospective power regulation on the key nodes and dynamically correcting the operation parameters according to the risk candidate list and the constraint transmission result.

Description

Distribution box running state monitoring system and method Technical Field The invention relates to the field of monitoring of the running state of a distribution box, in particular to a system and a method for monitoring the running state of the distribution box. Background In the prior art, the distribution box is used as an important node for distributing electric energy, the safe operation of the distribution box is directly related to the stability of a building power system, and in general, a temperature sensor is arranged inside the distribution box for monitoring the operation state of internal elements, however, in practical application, especially in the distribution box of a multi-loop commercial office building or residential community, the following problems exist in the existing temperature monitoring system: on the one hand, the sensor arrangement is uneven, the sampling period is longer, the monitoring point coverage is limited, the local overheating phenomenon cannot be found timely, for example, in the period of peak power utilization, partial loops or switching elements can be subjected to the condition of too fast temperature rise due to concentrated load, the traditional monitoring system can only provide the whole average temperature or fixed point temperature data, the real-time change of the local hot spots cannot be accurately reflected, when the local temperature reaches the dangerous threshold value, the alarm is triggered, at the moment, certain loss or potential safety hazards exist on the internal elements of the distribution box, on the other hand, under the high-humidity environment such as long-time rainy season in summer, the air humidity is high, meanwhile, the concentrated power utilization is caused by inconvenient traveling of residents, the load peak value is generated, and the instantaneous heavy current is brought by the driving of the district drainage equipment, so that the local load of the distribution box is extremely easy to exceed the safety limit value, the short circuit and other fault risks are increased, the prior art generally only depends on fixed temperature sensors and current collecting means, the superposition influence of the local temperature rise, environmental factors and load fluctuation cannot be comprehensively considered, and dynamic prediction and prevention measures on the potential critical node risks are lacked, therefore, the prior art has difficulty in realizing the potential real-time safety hazards and potential safety hazards under the conditions of local temperature rise and the initial local temperature rise and the environment high-time environment, and high potential safety conditions are realized, and simultaneously affects the reliability and maintenance efficiency of the operation of the power system. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a system and a method for monitoring the running state of a distribution box, which have the advantage of improving early risk identification capability and solve the problems in the background art. In order to achieve the purpose of improving early risk recognition capability, the invention provides a method for monitoring the running state of a distribution box, which comprises the following steps: collecting temperature, current and environmental humidity signals, and combining the coupling relation between the spatial layout positions and the time sampling sequences of the signals to perform offset correction, abnormal suppression and multi-time scale aggregation processing to construct a dynamic feature matrix of the running state evolution of each node along with time; according to the dynamic feature matrix, combining the line attenuation characteristic and the switch contact aging state, calculating the bearable power interval of the node in the current running state, and forming an exclusive safety threshold library of the corresponding node; Based on an exclusive safety threshold library, the safety threshold of each node is used as a constraint state parameter to be introduced into a loop analysis framework, and a multi-layer causal relationship structure is constructed by combining the power conduction paths, load coupling relations and environmental interaction influences among loops; based on the multi-layer causal association structure and the historical operation characteristics, constructing an extreme operation condition structure representing a high humidity environment, a load peak and an external device burst current combination state, performing aggregate statistics and entropy characteristic evolution analysis on the corresponding operation state, and generating a potential risk candidate list corresponding to the abnormal evolution mode; And performing prospective adjustment of the outputtable power on the nodes on the key causal path according to the conduction result of the safety threshold constraint in the multi-lay