CN116608927A - Flow instrument group online checking and heat correction method based on normalization principle - Google Patents
Flow instrument group online checking and heat correction method based on normalization principle Download PDFInfo
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
- F24D19/1048—Counting of energy consumption
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F15/00—Details of, or accessories for, apparatus of groups G01F1/00 - G01F13/00 insofar as such details or appliances are not adapted to particular types of such apparatus
- G01F15/02—Compensating or correcting for variations in pressure, density or temperature
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F25/00—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume
- G01F25/10—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The application relates to the technical field of heat supply system equipment checking, in particular to a flow meter group on-line checking and heat correction method based on a normalization principle. Aiming at the problems that in the prior art, the measuring data of a flow meter group is not closed, only a single device can be calibrated on site, and a heating system is difficult to stop running for checking the performance of a flow sensor, so that the working condition of the flow sensor cannot be checked without stopping heating, the application provides a flow meter group on-line checking and heat correction method based on a normalization principle, which utilizes the internet and big data cloud computing technology to analyze the flow meter group, determine a normalization coefficient and unify the measuring data of the flow sensor group to the flow taking the total flow of a heat source as a reference; the judgment basis of online check is determined by the calculation method of the flow ratio change rate, so that cloud diagnosis is carried out on the working condition of the flow sensor without stopping heating and the fault position is determined.
Description
Technical Field
The application relates to the technical field of heat supply system equipment verification, in particular to a flow instrument group online verification method and a heat correction method based on a normalization principle.
Background
The central heating system in China at present consists of a plurality of heating stations. Part of thermal companies build intelligent heating systems. The operation parameters of the heating system are measured by various sensors arranged on a source, a network and a station, and are sent to an intelligent heating platform for analysis and decision through a data transmission system, and the operation of the system is controlled.
Many factors affect the quality of data, and are mostly related to the acquisition and transmission links. The quality of the data transmission link is easy to identify, errors of the transmission link can be detected by adopting a reasonable data cleaning method and a technology for guaranteeing the integrity and reliability of data, incomplete data are complete, the error data are corrected, redundant data are removed, and then required data are selected out, and data integration is performed. The problem of the data acquisition link is often related to the quality and the working state of the sensor. The number of sensors used for heating is large, but the number of the sensors is small, and the sensors are mainly flow, temperature and pressure. While flow sensors are most problematic among all sensors. The flow sensor has the following problems:
the heat supply enterprises lack professional technicians who understand the instruments, do not have the capability of checking and judging the working conditions of the instruments, so that a plurality of instruments work with diseases, the reliability of measured data is low, during the heat supply, only a single device can be calibrated on site in the prior art, the heat supply system is difficult to stop running for checking the performance of the flow sensor, and a method for diagnosing the working conditions of the flow sensor without stopping heat supply is lacking.
Disclosure of Invention
The application aims to solve the problems that in the prior art, only a single device can be calibrated on site, and a heating system is difficult to stop running for checking the performance of a flow sensor, so that the working condition of the flow sensor cannot be checked without stopping heating.
The technical scheme of the application is as follows:
1. the flow instrument group online checking method based on the normalization principle comprises the following steps:
s1: the method comprises the steps of obtaining flow data of a flow instrument group in real time, wherein the flow instrument group comprises a heat source flow sensor, flow sensors of all heating power stations and a water supplementing flow meter, and the flow data comprises the following components: measuring flow rate G of heat source 0s Measured flow G for each station is Measurement flow G of water supplementing flow meter bs The middle angle marks '0', 'i', 'b' respectively represent the serial numbers of the heat source and the heating power station and the water supplementing quantity;
s2: calculating a normalization coefficient beta in a stable time period of the heating system according to the acquired flow data of the flow instrument cluster x Normalized coefficient beta x With measured flow G of heat source 0s As a reference flow, normalized coefficient beta x The method is characterized by comprising the following steps:
wherein: beta x -a normalized coefficient based on heat source flow; g is -the thermal station flow sensor measures flow; g 0s -the heat source flow sensor measures flow; g bs -the make-up water flow meter measures the flow;
s3: normalized coefficient beta calculated according to S2 x Correcting the flow data of the flow meter group in the stable time period to obtain the corrected flow G of each heating station ix Corrected flow rate G of water replenishment flow meter bx ；
S4: corrected flow G of heating station calculated according to S3 ix Correction flow G of water supplementing flow meter bx Calculating the actual flow ratio alpha of each heating station at the starting moment of the stable time period ix0 Actual flow ratio alpha of the water make-up flow meter at the starting moment of the stable time period bx0 ；
S5: at any moment tau in the stable period, the corrected flow G of the heating power station is calculated according to S3 ix Correction flow G of water supplementing flow meter bx Calculating the actual flow ratio alpha of each heating station at tau ixτ Actual flow ratio alpha of water supplementing flowmeter at tau moment bxτ ；
S6: calculating the actual flow ratio change rate epsilon of each heating station at tau moment in the stable time period according to the data calculated in S4 and S5 iτ Actual flow rate change epsilon of water replenishing flowmeter at time tau bτ ；
S7: checking the flow meter group according to the data calculated in the step S6, and judging whether the data calculated in the step S6 exceeds a specified limit value or not and exceeds an abnormal working state; and the normal working state is not exceeded.
2. When the flow meter group on-line checking method based on the normalization principle is used for checking, the flow data of the flow meter group is obtained in real time in step S1, and meanwhile, the flow meter group heat correction method based on the normalization principle is also used for obtaining the heat quantity Q measured by each heating power station is The method comprises the steps of carrying out a first treatment on the surface of the Based on measured flow G of the respective thermal station is And corrected flow rate G of each heating station ix Measuring heat Q for each heating station is The correction is calculated according to the following formula:
wherein: q (Q) ix -corrected heat of the thermal station; q (Q) is -measuring heat of the thermal station.
Compared with the prior art, the application has the following effects:
the flow meter group online checking method based on the normalization principle utilizes the analysis of the measurement data of the flow sensor group with the measurement data error to determine the normalization coefficient, unifies the measurement data of all the flow sensors except the heat source sensor in the flow meter group to the correction flow taking the total flow of the heat source as the reference, and realizes the closing of the measurement data of the flow sensor group.
Meanwhile, the application determines the judgment basis of on-line check through the calculation method of the flow ratio change rate of the flow sensor, and realizes on-line diagnosis of the working condition of the flow sensor and determination of the fault position without stopping heating.
The flow meter group heat correction method based on the normalization principle can correct the flow data of each sensor while realizing on-line checking of the flow meter group, can also correct the measured heat data of each heating power station in the heating system, and helps governments or enterprises obtain more accurate heat data for accounting.
Drawings
FIG. 1 is a schematic diagram of a heating system;
1-a heat source; 2-a circulating water pump; 3-a water supplementing pump; 4-a thermodynamic station; 5-source calorimeter; 6-station calorimeter; 7-a water supplementing flow meter; 8-cloud platform.
Detailed Description
The first embodiment is as follows: in the central heating system according to the present embodiment, a source heat meter 5 for measuring the total heat supply amount is generally provided at a heat source 1, and a station heat meter 6 for each heat station is provided at a network side of the heat stations distributed throughout the city. The heat meter is composed of a flow sensor, a temperature sensor and an integrating instrument, the flow sensor which generally forms the heat meter is arranged on a water supply pipeline, the flow sensor measures the water flow, the temperature sensor measures the temperature of the water supply and return water, the heat meter integrates the measured data of the flow sensor and the temperature sensor through the integrating instrument to obtain the heat data of the heat meter, the water leakage quantity (normal water leakage) generated by a valve, a compensator and the like in a pipe network system can not be measured through the flow sensor arranged at a heating station, the total water supplementing quantity of the pipe network can be measured through a water supplementing flowmeter 7 arranged at a water supplementing point, and the measured and integrated data are transmitted to the cloud platform 8 in a wireless or wired mode.
Under the condition that no accident is caused to the pipe network, for a continuous water supplementing system, the total flow measured by the flow sensor at the heat source, the flow measured by the flow sensor at each heating power station and the total water supplementing quantity measured by the water supplementing flow meter are expressed as follows:
in which G is 0 -total flow measured by flow sensor at heat source, m 3 /h；G i -flow measured by a flow sensor at the thermal station, m 3 /h；G b -system water make-up measured by a water make-up flow meter, m 3 /h。
The flow sensor is set to measure a flow value that is related to the level of accuracy of the meter used. The flow sensor adopted in the heating system at present is mostly an ultrasonic flowmeter or an electromagnetic flowmeter, and the flow sensor metering verification rule specifies that: when the flowmeter leaves the factory, water is adopted for verification. At a demarcation flow q t And the maximum flow rate q max The maximum allowable error Eq of the flowmeter should not be greater than the maximum allowable error specified by a certain level of accuracy. According to the heat quantity table GB/T32224-2020, the maximum allowable error Eq of the flow sensor can be expressed as
Wherein: q p -common (credit) flow, m 3 /h; q-actual flow, m 3 /h; n is a coefficient, and n is 1, 2 and 3 respectively for the primary, secondary and tertiary flow sensors; m is a coefficient, and the m is 0.01, 0.02 and 0.05 respectively for the primary, secondary and tertiary flow sensors. The total flow measured at the heat source is related to the flow measured at each heat station as follows:
equation (3) shows that the measurement error of a flowmeter cluster consisting of tens or thousands of flowmeters installed in a heating system is positive or negative. This results in the total flow measured at the heat source and the flow data measured at each heat station flow meter, with the following possibilities:
(1) The measured value of the total flow sensor at the heat source is the maximum positive deviation, and the measured value of the flow sensor of each heating power station is the maximum positive deviation;
(2) The measured value of the total flow sensor at the heat source is the maximum negative deviation, and the measured value of the flow sensor of each heating power station is the maximum negative deviation;
(3) The measured value of the total flow sensor at the heat source is the largest positive deviation, and the measured value of the flow sensor of each heating power station is the largest negative deviation;
(4) The measured value of the total flow sensor at the heat source is the maximum negative deviation, and the measured value of the flow sensor of each heating power station is the maximum positive deviation;
(5) The measured value of the total flow sensor at the heat source is the largest positive deviation, the measured value of each heat station flow sensor is partially the largest positive deviation, partially the largest negative deviation and partially the middle deviation;
(6) The measured value of the total flow sensor at the heat source is the maximum negative deviation, the measured value of each heating power station flow sensor is the maximum positive deviation, the maximum negative deviation and the middle deviation.
Therefore, the measurement data in the flow sensor group is not closed, which affects the judgment of the state of the flow sensor.
The flow instrument group online checking method based on the normalization principle in the embodiment comprises the following steps:
s1: the method comprises the steps of acquiring flow data of a flow instrument group in real time, wherein the flow instrument group comprises a heat source flow sensor, flow sensors of all heating power stations and a water supplementing flow meter, and the flow data comprises the following components: measuring flow rate G of heat source 0s Measured flow G for each station is Measurement flow G of water supplementing flow meter bs The middle angle marks '0', 'i', 'b' respectively represent the serial numbers of the heat source and the heating power station and the water supplementing quantity;
s2: calculating a normalization coefficient beta in a stable time period of the heating system according to the acquired flow data of the flow instrument cluster x Normalized coefficient beta x With measured flow G of heat source 0s As a reference flow, normalized coefficient beta x The method is characterized by comprising the following steps:
wherein: beta x -a normalized coefficient based on heat source flow; g is -flow sensor of thermal station measuring flow, m 3 /h；G 0s -heat source flow sensor measuring flow, m 3 /h；G bs -flow is measured by a water supplementing flow meter, m 3 /h；
S3: normalized coefficient beta calculated according to S2 x Correcting the flow data of the flow meter group in the stable time period to obtain the corrected flow G of each heating station ix Corrected flow rate G of water replenishment flow meter bx ；
S4: corrected flow G of heating station calculated according to S3 ix Correction flow G of water supplementing flow meter bx Taking the corrected flow as the actual flow, and calculating the actual flow ratio alpha of each heating station at the starting moment of the stable time period ix0 Actual flow ratio alpha of the water make-up flow meter at the starting moment of the stable time period bx0 ；
S5: at any moment tau in the stable period, the corrected flow G of the heating power station is calculated according to S3 ix Correction flow G of water supplementing flow meter bx The corrected flow is taken as the actual flow, and the actual flow ratio alpha of each heating power station at the tau moment is calculated ixτ Actual flow ratio alpha of water supplementing flowmeter at tau moment bxτ ；
S6: calculating the actual flow ratio change rate epsilon of each heating station at tau moment in the stable time period according to the data calculated in S4 and S5 iτ Actual flow rate change epsilon of water replenishing flowmeter at time tau bτ ；
S7: checking the flow meter group according to the data calculated in the step S6, and judging whether the data calculated in the step S6 exceeds a specified limit value or not and exceeds an abnormal working state; and the normal working state is not exceeded.
According to the method, a person skilled in the art can upload data measured in the time of stable heat supply operation of the heat supply system to the cloud platform, the cloud platform performs normalization processing on a large amount of acquired sensor group measurement data, a normalization coefficient is determined, flow values of all heat stations are corrected through the normalization coefficient, the corrected data are used as a basis to calculate the flow ratio change rate of all flow sensors, the corrected data are used as a basis for judging normal operation of equipment in the system, analysis of a flow meter group on line is realized, the problem that the measurement data in the flow sensor group are not closed in the prior art is solved, meanwhile, the problem that the heat supply system can not be operated for checking the performance of the flow sensors only by calibrating a single equipment on site is solved, and the problem that the operation condition of the flow sensors is diagnosed without stopping heat supply is absent.
The second embodiment is as follows: referring to fig. 1, in this embodiment, before S1 obtains flow data of a flow meter group in real time, it is necessary to periodically check an operation state of a heat source flow sensor, so as to ensure that the operation state of the heat source flow sensor is normal, and the method for periodically checking the operation state of the heat source flow sensor includes:
scheme one: detecting the working state of a heat source flow sensor by adopting portable flow measuring equipment;
scheme II: checking the working state of a heat source flow sensor by utilizing the flow characteristic of the self equipment of the heat supply system, wherein the flow characteristic of the self equipment of the heat supply system comprises the following steps: the flow characteristics of the elbow, the flow characteristics of the water pump and the flow characteristics of the regulating valve are the same as those of the first embodiment.
And a third specific embodiment: referring to fig. 1, the embodiment is described, in which the corrected flow G of each heat station in S3 is corrected in the flow meter group on-line checking method based on the normalization principle i x, corrected flow G of the water replenishment flow meter bx The method is calculated by the following formula:
G ix ＝G is β x
G bx ＝G bs β x
wherein: g ix -corrected flow of thermal station, m 3 /h；G bx -replenishing waterFlow meter corrected flow, m 3 /h; other steps are the same as those of the first or second embodiment.
The specific embodiment IV is as follows: referring to fig. 1, the present embodiment is described, in which the actual flow ratio α of each heat station in S4 at the start time of the stable period in the flow meter group on-line checking method based on the normalization principle ix0 Actual flow ratio alpha of the water make-up flow meter at the starting moment of the stable time period bx0 The method is calculated by the following formula:
wherein: alpha ix0 -the actual flow ratio of the thermodynamic station at the start time in the stable period; alpha bx0 -the actual flow ratio of the water flow supplementing sensor at the starting moment in the stabilizing period; g 0s0 -measuring flow of heat source at the start time in the steady period, m 3 /h；G ix0 -corrected flow of the thermodynamic station at the start time during the stabilization period, m 3 /h；G bx0 -corrected flow of the water-replenishing flowmeter at the start time in the stable period, m 3 And/h. Other steps are the same as those of the first, second or third embodiments.
Fifth embodiment: referring to fig. 1, the present embodiment is described as a flow meter group on-line checking method based on normalization principle, in which the actual flow ratio α of each heat station at τ in S5 ixτ Actual flow ratio alpha of water supplementing flowmeter at tau moment bxτ The method is calculated by the following formula:
wherein: alpha ixτ -the actual flow ratio of the thermodynamic station at the moment τ in the stabilization period; alpha bxτ -the actual flow ratio of the water flow meter is supplemented at the moment tau in the stabilizing period; g 0sτ -measured flow of heat source at time τ in steady period, m 3 /h；G ixτ -corrected flow of thermodynamic station at time τ during the stabilization period, m 3 /h；G bxτ -corrected flow of water supplementing flowmeter at time τ in stable period, m 3 And/h. Other steps are the same as those of the first, second, third or fourth embodiment.
Specific embodiment six: referring to fig. 1, the present embodiment is described with reference to an actual flow ratio change rate epsilon of each heat station at τ time in a stable time period in S6 in a flow meter group on-line checking method based on a normalization principle iτ And the actual flow rate ratio change rate epsilon of the water replenishing flowmeter at tau moment in the stable period bτ The formula is calculated as follows:
wherein: epsilon iτ -the actual flow rate ratio rate of change of each thermodynamic station at time τ in the settling period; epsilon bτ -the actual flow rate ratio rate of the water replenishment flow meter at time τ in the settling period. Other steps are the same as those of the first, second, third, fourth or fifth embodiments.
Seventh embodiment: in the flow meter group online checking method according to the present embodiment, referring to fig. 1, a determination formula for determining whether the limit value is exceeded in S7 is as follows:
ε iτ ≤|ε i |
ε bτ ≤|ε b |
wherein: epsilon i -a thermal station flow rate ratio change rate limit; epsilon b -limit of the rate of change of the flow ratio of the make-up water flow meter. The judgment basis of on-line check is determined by the calculation method of the flow ratio change rate of the flow sensor, so that the on-line diagnosis of the working condition of the flow sensor and the determination of the fault position are realized without stopping the heat supply; other steps are the same as those of the first embodiment, the second embodiment, the third embodiment, the fourth embodiment, the fifth embodiment, and the sixth embodiment.
Eighth embodiment: in the flow meter group on-line checking method based on the normalization principle according to the present embodiment described with reference to fig. 1, S7 is performed on-line checking of the flow meter group, and then, on the unsatisfied flow sensor, the flow sensor determined to be abnormal in operation is determined, and the flow sensor determined to be abnormal in operation is alerted, and at the same time, alert information is transmitted to notify maintenance personnel to the installation site for checking in a wireless or wired manner; after detection, the maintainer sends the detection result to the cloud platform in a wireless or wired mode, the cloud platform determines a corresponding treatment scheme according to a flow sensor management scheme formulated by an enterprise and sends the treatment scheme to the maintainer, and other steps are the same as those of the first embodiment, the second embodiment, the third embodiment, the fourth embodiment, the fifth embodiment, the sixth embodiment and the seventh embodiment.
Detailed description nine: the heat meter used in the heating system of the present embodiment will be described with reference to fig. 1, which has 2 main applications, one for trade settlement and one for enterprise internal accounting, wherein the problem of non-closing of the flow sensor group data in the first embodiment also affects the deep analysis based on the heating data and the formulation of the operation decision scheme. The normalization principle-based flow meter group heat correction method of the present embodiment is used for acquiring flow data of a flow meter group in real time and simultaneously acquiring heat quantity Q measured by each heat station in step S1 when checking by using the normalization principle-based flow meter group online checking method described in any one of the embodiments one to nine is The method comprises the steps of carrying out a first treatment on the surface of the Based on measured flow G of the respective thermal station is And corrected flow rate G of each heating station ix Measuring heat Q for each heating station is Make correction,Correction heat Q ix The method is calculated by the following formula:
wherein: q (Q) ix -corrected heat of the thermal station, KWh; q (Q) is The measured heat of the thermal station KWh,
and the corrected flow data of each sensor corrects the measured heat data of each heating power station in the heating system, thereby helping governments or enterprises obtain more accurate heat data for accounting.
While the application has been described with reference to the preferred embodiments, it will be understood that the application is not limited to the specific embodiments described above, but is not limited to the embodiments described above, and any simple modification, equivalent substitutions and improvements made by those skilled in the art can be made without departing from the scope of the application, as long as the equivalent embodiments can be modified or changed with the technical content disclosed above, and all the modifications, equivalent substitutions and improvements made to the above embodiments within the spirit and principles of the application fall within the scope of the technical content of the application.
Claims (10)
1. The flow instrument group online checking method based on the normalization principle is characterized by comprising the following steps of:
s1: the method comprises the steps of obtaining flow data of a flow instrument group in real time, wherein the flow instrument group comprises a heat source flow sensor, flow sensors of all heating power stations and a water supplementing flow meter, and the flow data comprises the following components: measuring flow rate G of heat source 0s Measured flow G for each station is Measurement flow G of water supplementing flow meter bs The middle angle marks '0', 'i', 'b' respectively represent the serial numbers of the heat source and the heating power station and the water supplementing quantity;
s2: calculating the stability of the heating system according to the acquired flow data of the flow meter groupNormalized coefficient beta over a period of time x Normalized coefficient beta x With measured flow G of heat source 0s As a reference flow, normalized coefficient beta x The method is characterized by comprising the following steps:
wherein: beta x -a normalized coefficient based on heat source flow; g is -the thermal station flow sensor measures flow; g 0s -the heat source flow sensor measures flow; g bs -the make-up water flow meter measures the flow;
s3: normalized coefficient beta calculated according to S2 x Correcting the flow data of the flow meter group in the stable time period to obtain the corrected flow G of each heating station ix Corrected flow rate G of water replenishment flow meter bx ；
S4: corrected flow G of heating station calculated according to S3 ix Correction flow G of water supplementing flow meter bx Calculating the actual flow ratio alpha of each heating station at the starting moment of the stable time period ix0 Actual flow ratio alpha of the water make-up flow meter at the starting moment of the stable time period bx0 ；
S5: at any moment tau in the stable period, the corrected flow G of the heating power station is calculated according to S3 ix Correction flow G of water supplementing flow meter bx Calculating the actual flow ratio alpha of each heating station at tau ixτ Actual flow ratio alpha of water supplementing flowmeter at tau moment bxτ ；
S6: calculating the actual flow ratio change rate epsilon of each heating station at tau moment in the stable time period according to the data calculated in S4 and S5 iτ Actual flow rate change epsilon of water replenishing flowmeter at time tau bτ ；
S7: checking the flow meter group according to the data calculated in the step S6, and judging whether the data calculated in the step S6 exceeds a specified limit value or not and exceeds an abnormal working state; and the normal working state is not exceeded.
2. The flow meter cluster online checking method based on the normalization principle as claimed in claim 1, wherein the method comprises the following steps: before the flow data of the flow meter group are acquired in real time in S1, the working state of the heat source flow sensor is checked regularly, and the working state of the heat source flow sensor is ensured to be normal.
3. The flow meter cluster online checking method based on the normalization principle as claimed in claim 2, wherein: the method is characterized in that: the scheme for periodically checking the working state of the heat source flow sensor comprises the following steps:
scheme one: detecting the working state of a heat source flow sensor by adopting portable flow measuring equipment;
scheme II: checking the working state of a heat source flow sensor by utilizing the flow characteristic of the self equipment of the heat supply system, wherein the flow characteristic of the self equipment of the heat supply system comprises the following steps: the flow characteristics of the elbow, the flow characteristics of the water pump and the flow characteristics of the regulating valve.
4. The flow meter group online checking method based on the normalization principle according to claim 1 or 2, wherein the method comprises the following steps: the corrected flow G of each heating station in the S3 ix Corrected flow rate G of water replenishment flow meter bx The method is calculated by the following formula:
G ix ＝G is β x
G bx ＝G bs β x
wherein: g ix -corrected flow of the thermal station; g bx -corrected flow of the make-up flow meter.
5. The flow meter cluster online checking method based on the normalization principle as claimed in claim 4, wherein the method comprises the following steps: the actual flow ratio alpha of each heating station at the starting moment of the stable period in the S4 ix0 Actual flow ratio alpha of the water make-up flow meter at the starting moment of the stable time period bx0 Calculated by the following formula：
Wherein: alpha ix0 -the actual flow ratio of the thermodynamic station at the start time in the stable period; alpha bx0 -the actual flow ratio of the water flow supplementing sensor at the starting moment in the stabilizing period; g 0s0 -measuring the flow of the heat source at the start time during the stabilization period; g ix0 -a corrected flow of the heating power station at the start time in the stable period; g bx0 -corrected flow of the water replenishment flow meter at the start time in the settling period.
6. The flow meter cluster online checking method based on the normalization principle according to claim 5, wherein the method comprises the following steps: the actual flow ratio alpha of each heating station at tau moment in the S5 ixτ Actual flow ratio alpha of water supplementing flowmeter at tau moment bxτ The method is calculated by the following formula:
wherein: alpha ixτ -the actual flow ratio of the thermodynamic station at the moment τ in the stabilization period; alpha bxτ -the actual flow ratio of the water flow meter is supplemented at the moment tau in the stabilizing period; g 0sτ -measuring the flow of the heat source at time τ during the stabilization period; g ixτ -corrected flow of the station at time τ during the stabilization period; g bxτ -water is replenished at tau moment in the stable periodAnd (3) correcting the flow rate of the flowmeter.
7. The flow meter group online checking method based on the normalization principle as claimed in claim 6, wherein the method comprises the following steps: the actual flow ratio change rate epsilon of each heating station at tau moment in the stable period in the S6 iτ And the actual flow rate ratio change rate epsilon of the water replenishing flowmeter at tau moment in the stable period bτ The formula is calculated as follows:
wherein: epsilon iτ -the actual flow rate ratio rate of change of each thermodynamic station at time τ in the settling period; epsilon bτ -the actual flow rate ratio rate of the water replenishment flow meter at time τ in the settling period.
8. The flow meter cluster online checking method based on the normalization principle as claimed in claim 7, wherein the method comprises the following steps: the decision formula for whether the limit value is exceeded in S7 is:
ε iτ ≤|ε i |
ε bτ ≤|ε b |
wherein: epsilon i -a thermal station flow rate ratio change rate limit; epsilon b -limit of the rate of change of the flow ratio of the make-up water flow meter.
9. The flow meter cluster online checking method based on the normalization principle as claimed in claim 1, wherein the method comprises the following steps: and after the flow instrument group is checked on line, alarming the flow sensor judged to be abnormal in work.
10. Flow instrument based on normalization principleThe group heat correction method is characterized in that: when checking by the on-line checking method of the flow meter group based on the normalization principle as set forth in any one of claims 1 to 9, the flow data of the flow meter group is obtained in real time in step S1, and the flow data is also used for obtaining the measured heat quantity Q of each heating power station is The method comprises the steps of carrying out a first treatment on the surface of the Based on measured flow G of the respective thermal station is And corrected flow rate G of each heating station ix Measuring heat Q for each heating station is And (3) performing correction, wherein the correction formula is as follows:
wherein: q (Q) ix -corrected heat of the thermal station; q (Q) is -measuring heat of the thermal station.
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