CN105606131A - Non-electric-quantity signal acquisition monitoring method - Google Patents

Non-electric-quantity signal acquisition monitoring method Download PDF

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Publication number
CN105606131A
CN105606131A CN201610040923.9A CN201610040923A CN105606131A CN 105606131 A CN105606131 A CN 105606131A CN 201610040923 A CN201610040923 A CN 201610040923A CN 105606131 A CN105606131 A CN 105606131A
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signal
electric charge
telecommunication
charge quantity
electric
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CN105606131B (en
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单立辉
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Hefei Able Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D5/00Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
    • G01D5/12Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G01K7/16Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements
    • G01K7/22Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements the element being a non-linear resistance, e.g. thermistor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • G01L1/18Measuring force or stress, in general using properties of piezo-resistive materials, i.e. materials of which the ohmic resistance varies according to changes in magnitude or direction of force applied to the material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L9/00Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means
    • G01L9/02Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning
    • G01L9/06Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning of piezo-resistive devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00Investigating fluid-tightness of structures
    • G01M3/02Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/26Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
    • G01M3/28Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
    • G01M3/2807Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
    • G01M3/2815Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes using pressure measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P5/00Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Nonlinear Science (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The invention discloses a non-electric-quantity signal acquisition monitoring method. The method comprises the following steps: S1, arranging a non-electric-quantity sensor; S2, converting non-electric-quantity signals acquired by the non-electric-quantity sensor into first electric signals, wherein the first electric signals are current signals or voltage signals; S3, obtaining second electric signals, wherein the second electric signals are voltage signals or current signals; S4, performing a product on the first electric signals and the second electric signals to obtain power type signals; S5, performing integration on time through the power type signals to obtain energy type parameters of each time period for storage; and S6, according to the energy type parameters of each time period, determining the non-electric-quantity and monitoring abnormities. According to the invention, non-electric-quantity detection is converted into energy type parameter detection, accumulation amplification of tiny hidden risks can be facilitated, the hidden risks can be timely discovered and subjected to early warning processing at an early and middle stage of the hidden risks, worsening of the hidden risks is prevented, loss is avoided, and risks are reduced.

Description

A kind of non-electric charge quantity signalling gathers monitoring method
Technical field
The present invention relates to DATA REASONING technical field, relate in particular to a kind of non-electric charge quantity signalling and gather monitoring method.
Background technology
Measurement is the important means that obtains various physical quantitys and describe physical process parameter, so factory and researchUnit all needs to measure many things in designing new frame for movement, improving some device, given process processReason amount, to study their regularity, whether test design meets objective law. In these are measuredMajority is non electrical quantity, for example: mechanical quantity (displacement, vibration acceleration, speed, power, moment, strain,Stress etc.), thermal technology measures (temperature, pressure, flow etc.), chemical industry amount (concentration, composition, humidity, pH valueDeng). Along with scientific and technical development, accuracy, the speed measured have all been proposed to new requirement, especially rightThe physical process of dynamic change is measured, and telemeasurement to physical quantity, adopts more and moreThe method of electric detecting technology is measured non electrical quantity, is called the electric detecting technology of non electrical quantity.
Along with social development, more aobvious important for monitoring and the Risk-warning of numerous non-electric charge quantity signallings, as pressedPower, pressure, strain, stress, displacement, deformation etc. In addition also have under certain situation, to environment also,Need to measure some natural parameters, as temperature, light, air pressure etc. At present, these non-electric charge quantity signalling parametersMeasurement, be all to realize with various non-electrical sensors, as non-electrical sensor, non-electrical sensorDeng. But present stage is more difficult to the faint variation detection of non-electric charge quantity signalling, non-electrical sensor on the one handCertainty of measurement is limited, and resolution tiny signal and variation thereof are more difficult, use merely amplifying circuit, are easy toCause judged result wrong because disturbing; On the other hand, the anomaly parameter that most non-electric charge quantity signallings reflectBe time variation transient state parameter, temporal evolution difference is very large, most hidden danger commitments, transient state parameterIn most of the time, be normal, the generation of anomalous event has statistical significance: As time goes on,More and more higher, the numerical value of frequency occurring becomes large gradually.
Summary of the invention
The technical problem existing based on background technology, the present invention proposes a kind of non-electric charge quantity signalling collection monitoring sideMethod.
A kind of non-electric charge quantity signalling that the present invention proposes gathers monitoring method, comprises the following steps:
S1, non-electrical sensor is set;
S2, the non-electric charge quantity signalling of non-electrical sensor collection is converted to first signal of telecommunication, first signal of telecommunication isCurrent signal or voltage signal;
S3, obtain second signal of telecommunication, second signal of telecommunication is voltage signal or current signal;
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal;
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify;
S6, according to each time period energy class parameter, non-electric charge quantity signalling is judged, and to extremely monitoring.
Preferably, non-electrical sensor is for being directly changed into analog electrical energy signal by non-electric charge quantity signalling; OrNon-electrical sensor is for converting non-electric charge quantity signalling to non-analog electrical energy signal, indirectly again by non-analog electrical energySignal converts analog electrical energy signal to. Preferably, non-analog electrical energy signal comprises pulse signal and frequency signal.
Preferably, in step S3, second signal of telecommunication is default numerical value.
Preferably, step S3 is specially: configure second signal of telecommunication by software program, second signal of telecommunication is electricityStream signal or voltage signal.
Preferably, second signal of telecommunication can be 1A or its multiple or 1V or its multiple.
Preferably, step S3 is specially: the non-electric charge quantity signalling that another non-electrical sensor is gathered directly orIndirect conversion is second signal of telecommunication, and second signal of telecommunication is voltage signal or current signal.
Preferably, in step S5, when program software default treatment generates hour, day, month, year unit at different levelsBetween section freezing data and storage.
Preferably, in step S5, when non-electric charge quantity signalling numerical value occurs larger extremely, exceed setting threshold values,Just further to the time of integration length carry out refinement, generate minute level or the second level unit interval section of refinement moreFreezing data and storage.
Preferably, step S6 specifically comprises the following steps:
S61, energy class parameter is judged;
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; HeavyMultiple this step, determines abnormal place timing node;
S63, data corresponding to the non-electric charge quantity signalling of abnormal place time period are carried out to monitoring and warning prompting.
The non-electric charge quantity signalling that the present invention proposes gathers monitoring method, gathers to be checked by non-electrical sensor is setSurvey non-electric charge quantity signalling, for example temperature, pressure, light, humidity or pressure, then, by non-electric charge quantity signallingConvert electric quantity signal to, and carry out integration after asking for power, obtain energy class parameter, thereby non electrical quantity is believedNumber detect convert energy class parameter monitoring to, be conducive to small-signal early stage in transient state hidden danger to be accumulatedAmplify, in occurring in hidden danger, the early stage early warning of discovery in time processing, avoids hidden danger seriously to change, thereby avoids damagingLose, reduce risk.
In the present invention, when non-electric charge quantity signalling numerical value occurs large extremely, be greater than while setting threshold values, just to integrationFreeze the energy class data time length of storage and carry out refinement, pass through resolving time length step by step, when generationBetween subsegment freezing data, store. So, in the time judging, first, the time that time span is grownDuan Nengliang class data analysis, can judge the larger time range in abnormal place fast, then, and by changingThe next stage time subsegment that time period comprises is analyzed, and refinement step by step, until segmentum intercalaris while judging abnormal placePoint, is conducive to extremely accurately locating.
Brief description of the drawings
Fig. 1 is that a kind of non-electric charge quantity signalling that embodiment 1 proposes gathers monitoring method flow chart;
Fig. 2 is that a kind of non-electric charge quantity signalling that embodiment 2 proposes gathers monitoring method flow chart;
Fig. 3 is that a kind of non-electric charge quantity signalling that embodiment 3 proposes gathers monitoring method flow chart;
Fig. 4 is that a kind of non-electric charge quantity signalling that embodiment 4 proposes gathers monitoring method flow chart.
Detailed description of the invention
Non-electric charge quantity signalling provided by the invention gathers monitoring method, non-electric charge quantity signalling can be temperature, stress,Strain, light data, humidity, displacement, deformation or pressure signal, but protection scope of the present invention is alsoBe not limited to this, any other non-electric charge quantity signalling adopts similar approach to realize, the technology model disclosing in the present inventionIn enclosing, within all should being encompassed in protection scope of the present invention.
Embodiment 1
With reference to Fig. 1, a kind of non-electric charge quantity signalling that the present embodiment proposes gathers monitoring method, is used for detected temperatures,It comprises the following steps:
S1, for example temperature sensor of non-electrical sensor is set detects and treat testing temperature.
S2, be first signal of telecommunication by the temperature transition of non-electrical sensor collection, first signal of telecommunication is electric current letterNumber.
Concrete, in present embodiment, non-electrical sensor can be selected variable resistance temperature sensor, as temperature-sensitive electricityResistance, so, by resistance-changing resistor non-electrical sensor access constant voltage power supply circuit, just can adopt non-electrical sensorThe temperature transition integrating is as current signal.
S3, obtain second signal of telecommunication, second signal of telecommunication is voltage signal. In this step, second signal of telecommunication isThe numerical value that software is default, specifically can select 1V or its multiple. When concrete enforcement, auxiliary circuit also can be set,Obtain second signal of telecommunication from auxiliary circuit.
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal.
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify. Process and generate freezing of hour, day, month, year unit interval sections at different levelsFooting is according to also storage.
For example, in this step, integral operation is to carry out continuously, then per minutely freezes to store oneIn inferior this minute, newly-increased integration numerical value, obtains a minute freezing data, per hourly freezes to store one hourFreezing data, within one hour, freezing data comprises 60 minutes freezing data in this hour, a day level freezePacket contains 24 hours freezing data of this day, according to calendar the like, generate a month freezing data, yearFreezing data. So, by minor time slice as minute, energy class parameter in hours section stacking,The unreliability that can avoid overabundance of data to cause.
In step S5, when non-electric charge quantity signalling numerical value occurs larger extremely, exceed setting threshold values, just furtherTo the time of integration length carry out refinement, generate freezing data the storage of the second level unit interval section of more refinement.
Step S6, judge according to each time period energy class parameter, to extremely monitoring.
Specifically comprise the following steps:
S61, energy class parameter is judged.
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; AndRepeat this step, until will extremely be positioned on the time period of minimum length grade.
In present embodiment, first the energy class parameter in larger time span is judged, for example, with littleTime be the assessment judgement that unit carries out energy class parameter, when certain hour level energy class parameter---hour freezeData occur abnormal, transfer 60 minutes level energy class parameters freezing on this time point, judge differentNormal place minute level time point, by analyzing changing the next stage time subsegment that the time period comprises, step by stepRefinement, until judge abnormal place timing node, thereby to extremely accurately locating.
S63, energy class data corresponding to the temperature signal of abnormal place time period are detected, different to thisChang Jiedian is upper to be amplified with the abnormal accumulation of temperature correlation, thereby to monitoring in early days in hidden danger effectively.
In the present embodiment, by non-electrical sensor, convert this temperature non-electric charge quantity signalling to information about power,Then change generating power class signal, and obtain each time period energy class parameter by the mode of integration, quiteAccumulate amplification in the tiny hidden danger that may occur by integral way, thereby avoid due to transient state hidden dangerMiddle early signal is too small and cause ignoring, and in being conducive to occur in hidden danger, realizes in time in early days, removes early.
Embodiment 2
With reference to Fig. 2, a kind of non-electric charge quantity signalling that the present embodiment proposes gathers monitoring method, is used for detecting pressure,It comprises the following steps:
S1, non-electrical sensor is set detects pressure to be measured.
S2, be first signal of telecommunication by the pressure conversion of non-electrical sensor collection, first signal of telecommunication is electric current letterNumber.
Concrete, in present embodiment, non-electrical sensor can be selected resistance-changing resistor non-electrical sensor, asPressure inductive reactance, so, by resistance-changing resistor non-electrical sensor access constant voltage power supply circuit, just can be by non-electricityThe pressure conversion of quantity sensor collection is current signal.
S3, obtain second signal of telecommunication, second signal of telecommunication is voltage signal. In this step, second signal of telecommunication isThe numerical value that software is default, specifically can select 1V or its multiple. When concrete enforcement, auxiliary circuit also can be set,Obtain second signal of telecommunication from auxiliary circuit.
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal.
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify. For example, generate hour, day, month, year unit interval sections at different levelsFreezing data storage.
In step S5, when non-electric charge quantity signalling numerical value occurs larger extremely, exceed setting threshold values, just furtherTo the time of integration length carry out refinement, for example, generate the freezing of second level unit interval section of minute level or more refinementFooting is according to also storage.
Step S6, judge according to each time period energy class parameter, to extremely monitoring.
Specifically comprise the following steps:
S61, energy class parameter is judged.
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; AndRepeat this step, until will extremely be positioned on the time period of minimum length grade.
In this step, first, the time period energy class data analysis that time span is grown, can be quickJudge the larger time range in abnormal place, then, enter by the next stage time subsegment that this time period is comprisedRow is analyzed, and refinement step by step, until judge abnormal place timing node, is conducive to extremely accurately locating.
S63, energy class data corresponding to the pressure signal on the timing node of abnormal place are detected, rightRelevant to pressure or can cause the accumulation of the abnormal small-signal of pressure to be amplified in this abnormal nodes, thereby to hiddenIn trouble, effectively monitor in early days.
In the present embodiment, by non-electrical sensor, convert this pressure non-electric charge quantity signalling to information about power,Then change generating power class signal and obtain each time period energy class parameter by the mode of integration, be equivalent toThe tiny hidden danger that may occur by the mode of integration is accumulated amplification, thereby avoids due to transient state hidden dangerMiddle early signal is too small and cause ignoring, and in being conducive to occur in hidden danger, realizes in time in early days, removes early.
Embodiment 3
With reference to Fig. 3, a kind of non-electric charge quantity signalling that the present embodiment proposes gathers monitoring method, is used for detecting stress letterNumber, it comprises the following steps:
S1, non-electrical sensor is set detects stress to be measured.
S2, be first signal of telecommunication by the stress indirect conversion of non-electrical sensor collection, first signal of telecommunication is electricityPress signal.
Concrete, in present embodiment, selecting especially output is not the non electrical quantity sensing of voltage or current signalDevice, as resonant mode non-electrical sensor, so, by software approach, first, by corresponding with stress valueFrequency numerical value converts to and stress numerical, then, then is proportional voltage number conversion stress numerical indirectlyValue, for example, adopts the conversion of direct unit, and unit of stress newton (N) is converted to voltage unit volt (V),Just the stress signal of non-electrical sensor collection can be converted to voltage signal. That is, in the present embodiment, non-electricityQuantity sensor is for becoming for example pulse signal of non-analog electrical energy signal or frequency by non-electric charge quantity signalling stress transmissionSignal, more non-analog electrical energy signal indirect conversion is become to such as voltage signal of analog electrical energy signal.
S3, obtain second signal of telecommunication, second signal of telecommunication is current signal. In this step, second signal of telecommunication isThe current values that software is default, specifically can select 10A, 1A etc. When concrete enforcement, auxiliary electrical also can be setRoad, obtains second signal of telecommunication from auxiliary circuit.
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal.
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify. For example, generate hour, day, month, year unit interval sections at different levelsFreezing data storage.
In step S5, when non-electric charge quantity signalling numerical value occurs larger extremely, exceed setting threshold values, just furtherTo the time of integration length carry out refinement, for example, generate the freezing of second level unit interval section of minute level or more refinementFooting is according to also storage.
Step S6, judge according to each time period energy class parameter, to extremely monitoring.
Specifically comprise the following steps:
S61, energy class parameter is judged.
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; AndRepeat this step, until determine abnormal place timing node.
In this step, first, the time period energy class data analysis that time span is grown, can be quickJudge the larger time range in abnormal place, then, enter by the next stage time subsegment that this time period is comprisedRow is analyzed, and refinement step by step, until judge abnormal place timing node, is conducive to extremely accurately locating.
S63, energy class data corresponding to the stress signal of abnormal place time period are detected, during to thisBetween a section Weak Anomaly signal accumulation relevant to stress amplify, thereby effective to monitoring in early days in hidden danger.
In the present embodiment, by non-electrical sensor, this stress non-electric charge quantity signalling indirect conversion is become to electric weightInformation, then changes generating power class signal, and obtains each time period energy class parameter by the mode of integration,The tiny hidden danger that is equivalent to by the mode of integration, each time period may be occurred is accumulated amplification, thereby keeps awayExempt from because too small causing of early signal in transient state hidden danger ignored, in time early stage in being conducive to occur in hidden dangerRealize, remove early.
Embodiment 4
A kind of non-electric charge quantity signalling proposing with reference to Fig. 4 the present embodiment gathers monitoring method, is used for detecting pipeline and suppliesThe hidden danger such as state and pipe leakage of the pipeline fluids such as water, sewage, blau gas, it comprises the following steps:
S1, non-electrical sensor is set detects pipe under test fluid pressure and rate of flow of fluid. In present embodiment,Can adopt a comprehensive non-electrical sensor not only to detect pipe under test fluid pressure but also detect pipe under test fluidFlow velocity; Collective implement time, also can arrange respectively the first non-electrical sensor and the second non-electrical sensor forTest fluid pressure and rate of flow of fluid.
S2, the fluid pressure of non-electrical sensor collection is converted to first signal of telecommunication, first signal of telecommunication is electricityPress signal.
Concrete, in present embodiment, non-electrical sensor can be selected resistance-changing resistor non-electrical sensor, quiltThe pressure of fluid measured pressure is directly proportional the resistance change of sensor, so, resistance-changing resistor non electrical quantity is passedSensor access constant voltage power supply circuit, by sampling resistor, just can be converted to voltage signal by the fluid pressure of collection.
S3, obtain second signal of telecommunication. In this step, second signal of telecommunication is served as reasons as the second non-electrical sensorThe rate of flow of fluid that detects of water flow sensor, the water flow sensor of employing mainly by water flow rotor assembly andHall element composition, rotating speed, along with the linear variation of flow, so, with reference to embodiment 3, passes through software approachDirectly unit conversion can be just current signal by the water flow velocity signal indirect conversion of non-electrical sensor collection.
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal.
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify. For example, generate hour, day, month, year unit interval sections at different levelsFreezing data storage.
In step S5, when non-electric charge quantity signalling numerical value occurs larger extremely, exceed setting threshold values, just furtherTo the time of integration length carry out refinement, for example, generate the freezing of second level unit interval section of minute level or more refinementFooting is according to also storage.
Step S6, judge according to each time period energy class parameter, to extremely monitoring.
Specifically comprise the following steps:
S61, energy class parameter is judged.
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; HeavyMultiple this step, determines abnormal place timing node.
In this step, first, the time period energy class data analysis that time span is grown, can be quickJudge the larger time range in abnormal place, then, enter by the next stage time subsegment that this time period is comprisedRow is analyzed, and refinement step by step, until judge abnormal place timing node, is conducive to extremely accurately locating.
S63, data corresponding to pipeline fluid on the timing node of abnormal place are detected, to this timeAbnormal hidden danger small-signal accumulation relevant to pipeline fluid on node is amplified, thereby to carrying out in early days in hidden dangerMonitoring effectively.
In the present embodiment, by these two kinds of fluid pressure and rate of flow of fluids being there is to the non electrical quantity of certain relevantSignal converts information about power to, then converts thereof into power class signal and obtains when each by the mode of integrationBetween section energy class parameter, early stage faint letter in the transient state hidden danger that is equivalent to may occur by the mode of integrationNumber accumulate amplification, thereby avoid causing ignoring because hidden danger is too small, in being conducive to occur in hidden dangerEarly stage discovery in time, removes early. The present embodiment can be expanded for detecting piped water supply, sewage, liquefaction oilThe hidden danger such as state and pipe leakage of the pipeline fluids such as gas,
In 3 embodiment, first signal of telecommunication can be made as to voltage signal or current signal, the second electricity to go forwardSignal correspondence is made as current signal or voltage signal, and so, second signal of telecommunication can adopt the default electricity of softwareStream constant, as 1V or its multiple, or 1A or its multiple, also can be by default auxiliary circuit, from auxiliaryCircuit obtains current signal or voltage signal as second signal of telecommunication; In embodiment 3, non-electrical sensor producesRaw is not the analog electrical energy signals such as direct voltage, electric current or resistance, but frequency signal, so,By software approach, first, by frequency numerical value, convert the non electrical quantity of detection by corresponding reduction formula toSignal---stress signal numerical value, then, adopts the conversion of direct unit, indirect this non-electric charge quantity signalling numerical valueBe converted to voltage value; In embodiment 4, another non-electrical sensor inspection of particular suitable relation will be there isSurvey the non-electric charge quantity signalling coming and be converted to current signal or voltage signal as second signal of telecommunication.
Non-electric charge quantity signalling provided by the invention gathers monitoring method, gathers to be checked by non-electrical sensor is setSurvey non-electric charge quantity signalling, for example temperature data, pressure data, light data, humidity data or pressure data,Then, directly or indirectly convert non-electric charge quantity signalling to electric quantity signal, and produce power signal by processing,Then carry out integration and obtain energy class parameter, thereby non electrical quantity is detected and converts each time period energy class parameter toDetect, be conducive to early stage small-signal in various transient state hidden danger to accumulate amplification, in occurring in hidden dangerEarly stage monitoring is in time found, avoids hidden danger seriously to change, thereby avoids loss, reduces risk.
The above, be only preferably detailed description of the invention of the present invention, but not office of protection scope of the present inventionBe limited to this, any be familiar with those skilled in the art the present invention disclose technical scope in, according to thisThe technical scheme of invention and inventive concept thereof are equal to replaces or changes, and all should be encompassed in protection of the present inventionWithin scope.

Claims (8)

1. non-electric charge quantity signalling gathers a monitoring method, it is characterized in that, comprises the following steps:
S1, non-electrical sensor is set;
S2, the non-electric charge quantity signalling of non-electrical sensor collection is converted to first signal of telecommunication, first signal of telecommunication isCurrent signal or voltage signal;
S3, obtain second signal of telecommunication, second signal of telecommunication is voltage signal or current signal;
S4, first signal of telecommunication and second signal of telecommunication are carried out to product, obtain power class signal;
S5, power class signal is carried out to integration to the time, obtain each time period energy class parameter, and to energyClass parameter is stored, and freezes to solidify;
S6, according to each time period energy class parameter, non-electric charge quantity signalling is judged, and to extremely monitoring.
2. non-electric charge quantity signalling as claimed in claim 1 gathers monitoring method, it is characterized in that, non electrical quantity passesSensor is for being directly changed into analog electrical energy signal by non-electric charge quantity signalling; Or non-electrical sensor is used for non-Electric quantity signal converts non-analog electrical energy signal to, indirectly more non-analog electrical energy signal is converted to analog electrical energy letterNumber.
3. non-electric charge quantity signalling as claimed in claim 2 gathers monitoring method, it is characterized in that non-analog electricalAmount signal comprises pulse signal and frequency signal.
4. non-electric charge quantity signalling as claimed in claim 1 gathers monitoring method, it is characterized in that step S3In, second signal of telecommunication is default numerical value.
5. non-electric charge quantity signalling as claimed in claim 4 gathers monitoring method, it is characterized in that step S3Be specially: configure second signal of telecommunication by software program, second signal of telecommunication is current signal or voltage signal.
6. non-electric charge quantity signalling as claimed in claim 5 gathers monitoring method, it is characterized in that the second telecommunicationsNumber can be 1A or its multiple or 1V or its multiple.
7. non-electric charge quantity signalling as claimed in claim 1 gathers monitoring method, it is characterized in that step S3Be specially: the non-electric charge quantity signalling of another non-electrical sensor collection is directly or indirectly converted to the second telecommunicationsNumber, second signal of telecommunication is voltage signal or current signal.
8. non-electric charge quantity signalling as claimed in claim 1 gathers monitoring method, it is characterized in that step S6Specifically comprise the following steps:
S61, energy class parameter is judged;
S62, when the day part energy class abnormal parameters of larger chronomere, the next stage that it is comprised is hourBetween energy class parameter in each time subsegment of unit compare, judge abnormal place time subsegment; HeavyMultiple this step, determines the abnormal place time period;
S63, data corresponding to the non-electric charge quantity signalling of abnormal place time period are carried out to monitoring and warning prompting.
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