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CN-122020289-A - Fire-fighting installation engineering fault prediction and life assessment method and system

CN122020289ACN 122020289 ACN122020289 ACN 122020289ACN-122020289-A

Abstract

The invention relates to the technical field of fire-fighting installation engineering, in particular to a method and a system for predicting faults and evaluating service life of the fire-fighting installation engineering, which are used for collecting the flow rate and power signals of a fire pump to construct a load delay sequence, combining welding line strain and current data to form a pipeline strain decay sequence, and comparing the difference of the heat flows of the stabilized power to extract an energy flux dissipation offset sequence, correlating multiple source signals to calculate a synchronicity index to generate a residual life curve, constructing a full-period decay map according to the inflection point of the curve, and finally obtaining a service life assessment result of the equipment. According to the invention, the energy load and structure degradation mapping is established through multi-source signal coupling analysis, the self-adaptive association and trend fitting are realized, the energy flux dissipation and synchronous attenuation law is revealed, the continuous and trackable life track is constructed, the energy loss and material response are associated, the potential life turning symptom is captured in advance, the assessment stage and prediction force are enhanced, and the running reliability and the health management precision are improved.

Inventors

  • CHEN HUARONG

Assignees

  • 广州华安消防有限公司

Dates

Publication Date
20260512
Application Date
20260121

Claims (10)

  1. 1. The fire control installation engineering fault prediction and life assessment method is characterized by comprising the following steps of: S1, acquiring pressure, flow and power signals when a pump set is started and stopped, comparing and responding according to time sequence alignment, identifying time difference and hysteresis characteristics, constructing a load record, analyzing continuity and fluctuation sections of the load signals in continuous start and stop cycles, and forming a chain to obtain a load delay change sequence; S2, based on a load fluctuation section in the load delay change sequence, strain and current signals at a welding line of the fire-fighting pipeline are called, response difference time is identified, the direction is analyzed, material degradation trend is reflected according to the frequency of a repeated section, and continuous segments are screened to generate a pipeline strain degradation change sequence; S3, positioning the operating stage of the voltage stabilizing equipment according to the strain decay time section in the pipeline strain decay change sequence, calling the inlet and outlet power and heat flow data, comparing the signal trend and identifying the section with inconsistent change direction, and extracting energy difference sections by the associated offset section to obtain an energy flux dissipation offset sequence; S4, comparing the trend of the monitoring component signals according to the time section of the energy offset in the energy flux dissipation offset sequence, constructing a load response and energy change relation, calculating the equidirectional fluctuation proportion of the multiple signals as a synchronism index, analyzing the continuous descending trend, and generating a residual life change curve of the equipment.
  2. 2. The method for predicting faults and evaluating service lives of fire protection installation projects according to claim 1, wherein the load delay change sequence comprises a pressure flow response difference value, a power response hysteresis coefficient and a load combination signal fluctuation interval mark, the pipeline strain decay change sequence is specifically a strain current response difference amplitude, a difference change monotonicity duration and a weld joint material degradation frequency characteristic value, the energy flux dissipation offset sequence is specifically a voltage stabilizing equipment input and output power offset value, a heat flow change and power difference correspondence degree and an energy transmission asynchronous period mark, and the equipment residual service life change curve comprises a multi-signal fluctuation direction consistency proportion, an operation synchronism index attenuation rate and a signal response mode difference degree curve.
  3. 3. The method for predicting failure and evaluating life of fire installation engineering according to claim 1, wherein the step of obtaining the load delay variation sequence is as follows: S101, acquiring continuous signal data of a pressure sensor, a flow sensor and motor power measuring equipment in a starting and stopping stage of a fire pump unit, arranging all signals according to time stamps, correspondingly comparing pressure, flow and power values at the same time point, identifying response time of flow before and after pressure signal change, calculating a delay interval of motor power relative to pressure change, and generating a starting and stopping response time difference interval; S102, based on the start-stop response time difference interval, invoking time sequence data of pressure, flow and power signals, aligning according to time sequence, calculating corresponding offset values of three types of signals at adjacent time points, connecting the offset values according to time sequence to form a continuous combined sequence, and reflecting the association relation among the signals to obtain a load coupling offset sequence; S103, calculating the amplitude change rate of pressure, flow and power signals in a continuous period according to the load coupling offset sequence, identifying a time section with the consistent change rate direction, integrating adjacent sections according to time sequence, and constructing a trend chain reflecting signal delay characteristics to obtain a load delay change sequence.
  4. 4. The method for predicting failure and evaluating life of fire installation engineering according to claim 1, wherein the step of obtaining the sequence of the change of strain decay of the pipeline is as follows: S201, based on a load fluctuation section in the load delay change sequence, strain signal and current density signal data of a fire-fighting pipeline welding seam in a corresponding period are called, the two groups of signals are aligned according to a time axis, the difference between the strain value and the current density value at each time point is calculated, the time position where the difference exceeds a set deviation threshold is extracted, and a strain current difference section is generated; S202, calling the strain current difference interval, identifying the direction and duration time of the difference change in the continuous start-stop period, calculating the holding time of the direction value in different time periods, judging the time sections with the consistent direction, merging the sections with the same adjacent direction according to the time sequence, and obtaining a consistent direction holding time sequence; and S203, counting the occurrence times of the same-direction sections in each start-stop period according to the consistent direction maintaining time sequence, calculating the repeated occurrence frequency, listing the time periods with continuously-increased frequency, sequentially integrating the time periods into a continuous trend line, and establishing a time sequence reflecting the weld strain decay trend to obtain a pipeline strain decay change sequence.
  5. 5. The method for predicting failure and evaluating life of fire installation engineering according to claim 1, wherein the step of acquiring the energy flux dissipation offset sequence is: S301, according to time sections with increased strain decay rate or concentrated fluctuation in the pipeline strain decay change sequence, operating signal data of the voltage stabilizing equipment in the same time section are called, time marks of start and stop time of each section and equipment operating period are compared, time difference between a section starting point and a period stage mark is calculated, and the corresponding relation between strain fluctuation and an operating stage is determined, so that a corresponding section of the operating stage is obtained; S302, based on the corresponding interval of the operation stage, calling the inlet and outlet power signals and the heat flow change data of the voltage stabilizing equipment, calculating the difference curve of the input power value and the output power value, correspondingly comparing the amplitude change value of the heat flow change with the power difference curve, extracting a time period with inconsistent input and output power change directions, establishing a time-ordered offset section sequence, and generating an energy offset section interval sequence; S303, calculating the time interval between adjacent offset sections according to the energy offset section interval sequence, screening the sequence with continuous interval and maintained difference direction, merging into a continuous energy difference fragment set according to time sequence, accumulating the time delay amount of energy output and input in the set, and establishing an energy difference chain in a continuous operation stage to obtain the energy flux dissipation offset sequence.
  6. 6. The method for predicting failure and evaluating life of fire installation engineering according to claim 1, wherein the step of obtaining the residual life change curve of the equipment is: S401, determining the position of the energy flux dissipation offset sequence in the integral operation time axis according to the energy offset time section in the energy flux dissipation offset sequence, calling pressure signals, flow signals and strain signals recorded by a fire-fighting pipe network monitoring assembly and a pressure stabilizing pump control assembly in the same period, synchronously aligning time stamps with the energy offset section, calculating time offset and trend change rate of each signal, and establishing a corresponding relation between the signals and energy change on the time axis to obtain an energy load corresponding time chain; S402, selecting continuous data sections of pressure signals and flow signals based on the time chain corresponding to the energy load, calculating the change amplitude ratio between the pressure values and the flow values at each time point, constructing a load change curve, comparing the fluctuation directions of the strain signals and the power signals at the same time section, counting the proportion of the number of time points with the same fluctuation directions and the total count, and establishing a numerical index reflecting the running consistency to obtain a synchronicity ratio index; S403, according to the synchronicity ratio index, identifying the continuous descending time period of the index, calculating the change rate in the descending section, drawing a time trend sequence, comparing the change directions of the sections in the continuous operation period, screening signal response difference expansion intervals, extracting attenuation trend of synchronicity change in the period, establishing a time curve reflecting the declining relation of the operation state of the equipment, and generating a residual life change curve of the equipment.
  7. 7. The method for predicting failure and assessing life of fire protection installation engineering according to claim 1, wherein the method further comprises: s5, extracting life change characteristics according to a time section in which the life change rate is obviously reduced or an inflection point appears in the residual life change curve of the equipment, dividing the life change trend by combining the starting and stopping of the fire pump unit and the running period information of the voltage stabilizing equipment, tracking the descending and stopping fragments of each stage, identifying turning points, and forming a declining rule map by time sequence association to obtain an equipment life evaluation result; The service life evaluation result of the equipment is specifically a service life trend turning time point, a full-period decline rule map and an operation stage fault probability mapping table.
  8. 8. The method for predicting and evaluating the life of a fire protection installation project according to claim 7, wherein the step of obtaining the life evaluation result of the equipment is: S501, extracting corresponding time segment data according to a time segment with a life change rate reduced or an inflection point appearing in the residual life change curve of the equipment, calculating the life value change rate in the segment and identifying a rate reduced segment, establishing a life step value sequence of each segment, and determining the attribution of each life change segment in the operation period according to the position of a time axis of the matching of the start and stop of the fire pump unit and the operation period signal of the voltage stabilizing equipment to obtain a life stage positioning segment; S502, calculating average descending speed and duration of life values of each operation stage based on the life stage positioning interval, arranging descending stages and stable stages in time sequence, comparing the proportion of descending amplitude to residence time, extracting a difference interval between a stable stage and a declining stage, and establishing a continuous distribution sequence of life change trend to obtain a stage trend ratio sequence; and S503, identifying trend inversion positions and continuous decay sections in the life curve according to the stage trend ratio sequence, calculating time intervals among turning points of the sections and arranging the turning points in sequence to form a life change time chain covering the whole operation period, merging sequences with consistent trend decay directions in the time chain into continuous regular lines, and establishing a device life decay regular map to obtain a device life evaluation result.
  9. 9. The method for predicting and assessing the life of a fire protection installation project according to claim 6, wherein the calculating the time offset and the trend change rate of each signal is specifically as follows: Acquiring a time stamp difference value between the starting time of each energy offset time section in the energy flux dissipation offset sequence and the pressure signal, taking the acquired difference value as a time offset reference value, calculating an offset interval of the flow signal and the strain signal relative to the pressure signal, taking continuous difference for the numerical value change of each signal in the offset interval, acquiring the ratio of the change amplitude of adjacent moments, and defining the acquired ratio as a trend change rate; The process for establishing the corresponding relation between the signal and the energy change on the time axis comprises the following steps: In a period section with continuous and stable trend change rate, judging the running time corresponding to the energy offset time section, arranging the pressure signal, the flow signal and the strain signal on a uniform time axis according to the time offset reference value, sequentially correlating according to the energy fluctuation direction, and recording the consistency judgment result of each signal trend change rate in the continuous time section to form a corresponding table containing time offset, trend change rate and energy offset direction; the process for calculating the proportion of the consistent direction comprises the following steps: respectively extracting change direction marks of the pressure signal, the flow signal, the strain signal and the power signal in the load change curve, comparing whether the four signal direction marks are consistent at the same time point, calculating the ratio of the consistent mark number to the total mark number, taking the ratio as an operation synchronicity index value, and marking as a synchronicity index continuous descending section when the index value is lower than a set synchronicity threshold value; the change rate of the continuous descending section of the synchronism index is calculated as follows: And comparing the difference of the synchronicity index values with the section length in adjacent time sections, obtaining a synchronicity decay rate as a result, drawing a continuous time trend curve according to the change sequence of the decay rate along with time, and establishing a time curve reflecting the running state decay relation of the equipment so as to generate the equipment residual life change curve.
  10. 10. A fire installation engineering fault prediction and life assessment system for performing the fire installation engineering fault prediction and life assessment method of any one of claims 1 to 9, the system comprising: The signal coupling analysis module is used for acquiring pressure, flow and power signals when the pump set is started and stopped, comparing and responding according to time sequence alignment, identifying time difference and hysteresis characteristics, constructing a load record, analyzing the continuity and fluctuation section of the load signals in continuous start and stop cycle and forming a chain, and obtaining a load delay change sequence; The weld joint degradation identification module is used for calling strain and current signals at the weld joint of the fire-fighting pipeline based on the load fluctuation section in the load delay change sequence, identifying response difference time and analyzing direction, reflecting material degradation trend according to the frequency of the repeated section, screening continuous fragments and generating a pipeline strain degradation change sequence; The energy difference correlation extraction module is used for positioning the operation stage of the voltage stabilizing equipment according to the strain decay time section in the pipeline strain decay change sequence, calling the inlet and outlet power and heat flow data, comparing the signal trend and identifying the section with inconsistent change direction, and extracting energy difference fragments by the correlation offset section to obtain an energy flux dissipation offset sequence; the multi-parameter synchronization degree module compares the trend of the monitoring component signals according to the time section of the energy offset in the energy flux dissipation offset sequence, constructs a load response and energy change relation, calculates the multi-signal homodromous fluctuation proportion as a synchronization index, analyzes the continuous descending trend and generates a residual life change curve of the equipment; and the life trend analysis module extracts life change characteristics according to the time section of the significant reduction of the life change rate or the occurrence of inflection points in the residual life change curve of the equipment, divides the life change trend by combining the starting and stopping of the fire pump unit and the running period information of the voltage stabilizing equipment, tracks the reduction and stay segments of each stage, identifies the inflection points, and forms a decay law map in a time sequence association manner to obtain the equipment life evaluation result.

Description

Fire-fighting installation engineering fault prediction and life assessment method and system Technical Field The invention relates to the technical field of fire-fighting installation engineering, in particular to a fire-fighting installation engineering fault prediction and life assessment method and system. Background The technical field of fire-fighting installation engineering comprises the contents of design, installation, maintenance, operation and detection of fire-fighting facilities in a building, and the like, and the core of the technical field is to ensure that a fire-fighting system has reliable fire-fighting alarming and protecting capability in a service period, and relates to pipe network layout of an automatic spraying system, line installation of a fire-fighting automatic alarming system, matched configuration of a fire-fighting water source and water supply equipment, detection and debugging of a tail end device, and in addition, the technical field also comprises links of construction quality inspection, equipment operation monitoring, maintenance and the like. The method for predicting the faults and evaluating the service lives of the fire-fighting installation projects is a method for analyzing and evaluating the performance attenuation trend of key components in the system by collecting operation data such as pipe network pressure, water flow, valve opening and closing states, alarm device response time, electricity utilization characteristics and the like and combining equipment operation period and use environment conditions aiming at the established or running fire-fighting installation systems, generally adopts sensors to collect the operation parameters, establishes a part health evaluation model by time sequence comparison, threshold judgment and historical operation record comparison, and calculates time nodes and residual service lives of possible faults of each part according to statistical rules, thereby realizing quantitative evaluation and fault prediction of the states of equipment inside the fire-fighting installation projects and providing basis for subsequent maintenance period formulation and update. In the prior art, in fire-fighting system state evaluation, based on single-dimensional signal detection and statistical rule analysis, dynamic interaction association among multi-source data is lacked, so that coupling mapping is lacked between operation data change and material degradation behavior, energy transfer abnormality and structural strain hysteresis characteristics cannot be captured in start-stop circulation, and degradation recognition delay and life trend resolution ambiguity are easily caused. When the system experiences frequent load fluctuation or voltage stabilization unbalance, the synchronous reaction capability of the evaluation model to energy attenuation and structural degradation is insufficient, a complete life trend evolution chain is difficult to form, and the maintenance time sequence judgment deviation and the fault risk response are not timely caused. Disclosure of Invention In order to solve the technical problems in the prior art, the embodiment of the invention provides a fire protection installation engineering fault prediction and service life assessment method and system. The technical scheme is as follows: the fire control installation engineering fault prediction and life assessment method comprises the following steps: S1, acquiring pressure, flow and power signals when a pump set is started and stopped, comparing and responding according to time sequence alignment, identifying time difference and hysteresis characteristics, constructing a load record, analyzing continuity and fluctuation sections of the load signals in continuous start and stop cycles, and forming a chain to obtain a load delay change sequence; S2, based on a load fluctuation section in the load delay change sequence, strain and current signals at a welding line of the fire-fighting pipeline are called, response difference time is identified, the direction is analyzed, material degradation trend is reflected according to the frequency of a repeated section, and continuous segments are screened to generate a pipeline strain degradation change sequence; S3, positioning the operating stage of the voltage stabilizing equipment according to the strain decay time section in the pipeline strain decay change sequence, calling the inlet and outlet power and heat flow data, comparing the signal trend and identifying the section with inconsistent change direction, and extracting energy difference sections by the associated offset section to obtain an energy flux dissipation offset sequence; S4, comparing the trend of the monitoring component signals according to the time section of the energy offset in the energy flux dissipation offset sequence, constructing a load response and energy change relation, calculating the equidirectional fluctuation proportion of the multiple s