Flow meter group on-line checking and heat correction method based on normalization principle

By adopting an online verification method for flow meter groups based on the normalization principle, flow data is acquired in real time and the normalization coefficient is calculated to correct the flow data. This solves the problem that flow sensors in heating systems cannot be diagnosed online, and realizes online diagnosis of flow sensors and improves the accuracy of heat data.

CN116608927BActive Publication Date: 2026-03-27HARBIN INST OF TECH SMART CITY RES (HARBIN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-22
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing technologies can only calibrate a single device on-site. It is difficult to stop the operation of the heating system to check the performance of the flow sensor, and there is a lack of methods to diagnose the working status of the flow sensor without stopping the heating.

Method used

An online verification method for flow meter groups based on the normalization principle is adopted. By acquiring flow data in real time, calculating the normalization coefficient to correct the flow data, and using the flow ratio change rate to judge the sensor status, online diagnosis is achieved.

Benefits of technology

It enables online diagnosis of the working status of flow sensors and determination of fault location without stopping heating, solves the problem of non-closed measurement data of flow sensor groups, and provides more accurate heat data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of heat supply system equipment verification, in particular to a flow meter group online verification and heat correction method based on normalization principle. The present application aims at the problem in the prior art that flow meter group measurement data is not closed, only single equipment can be calibrated on site, and heat supply system cannot stop running for checking the performance of flow sensor, so that the flow sensor working condition cannot be verified without stopping heat supply. The present application provides a flow meter group online verification and heat correction method based on normalization principle, uses internet and big data cloud computing technology to analyze flow meter group, determines normalization coefficient, and unifies group flow sensor measurement data to total heat source flow as a reference flow. Through the calculation method of flow ratio change rate, the judgment basis of online verification is determined, and cloud diagnosis of flow sensor working condition without stopping heat supply is realized and the fault position is determined.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of heat supply system equipment verification, and particularly relates to a flow meter group online verification method based on a normalization principle and a heat correction method. BACKGROUND

[0002] In the current domestic central heating system, a plurality of heat stations are composed. Some heat companies have constructed intelligent heating systems. The operation parameters of the heating system are measured by various sensors arranged at the source, network and station, are sent to the intelligent heating platform for analysis and decision-making through the data transmission system, and control the operation of the system.

[0003] There are many factors affecting data quality, which are related to the collection and transmission links. The quality of the data transmission link is easy to identify. Errors in the transmission link can be corrected by using reasonable data cleaning methods and technologies to ensure data integrity and reliability. The incomplete data is complete, the wrong data is corrected, the redundant data is removed, and then the required data is selected and integrated. The problems in the data collection link are often related to the quality and working state of the sensor. The number of sensors used in heating is large, but the types are few, mainly flow, temperature and pressure. Among all sensors, the flow sensor has the most problems. The flow sensor has the following problems:

[0004] The heating enterprise lacks professional technical personnel who understand the instrument, and has no ability to check and judge the working condition of the instrument, resulting in that many instruments work with diseases and the measured data has low reliability. During the heating period, only single equipment can be calibrated on site in the prior art, and the heating system cannot stop running to check the performance of the flow sensor. There is no method for diagnosing the working condition of the flow sensor without stopping heating. SUMMARY

[0005] The present application provides a flow meter group online verification method based on a normalization principle and a heat correction method to solve the problem that only single equipment can be calibrated on site in the prior art, and the heating system cannot stop running to check the performance of the flow sensor, so that the working condition of the flow sensor cannot be verified without stopping heating.

[0006] The technical scheme of the present application is as follows:

[0007] 1. A flow meter group online verification method based on a normalization principle, comprising the following steps:

[0008] S1: Real-time acquisition of flow data of a flow meter group, the flow meter group comprising a heat source flow sensor, a plurality of heat station flow sensors and a make-up water flow meter, the flow data comprising: a measured flow G of the heat source 0s , a measured flow G of each heat stationis , the measured flow G of the make-up flow meter bs , wherein the superscripts "0", "i", "b" represent the heat source, the heat station serial number and the make-up amount respectively;

[0009] S2: According to the flow data of the flow meter group obtained, the normalized coefficient β of the stable time period of the heating system is calculated x , the normalized coefficient β x , the measured flow G of the heat source is taken as the reference flow, the normalized coefficient β 0s is calculated x , and the normalized coefficient β is obtained by the following formula:

[0010]

[0011] , wherein: β x is the normalized coefficient based on the heat source flow; G is is the flow sensor measured flow of the heat station; G 0s is the flow sensor measured flow of the heat source; G bs is the make-up flow meter measured flow;

[0012] S3: According to the normalized coefficient β calculated in S2 x , the flow data of the flow meter group in the stable time period is corrected to obtain the corrected flow G ix of each heat station and the corrected flow G bx of the make-up flow meter;

[0013] S4: According to the corrected flow G ix of the heat station and the corrected flow G bx of the make-up flow meter calculated in S3, the actual flow ratio α ix0 of each heat station at the start time of the stable time period and the actual flow ratio α bx0 of the make-up flow meter at the start time of the stable time period are calculated;

[0014] S5: At any time τ in the stable time period, according to the corrected flow G ix of the heat station and the corrected flow G bx of the make-up flow meter calculated in S3, the actual flow ratio α ixτ of each heat station at time τ and the actual flow ratio α bxτ of the make-up flow meter at time τ are calculated;

[0015] S6: According to the data calculated in S4 and S5, the actual flow ratio change rate ε iτ of each heat station at time τ in the stable time period and the actual flow ratio change rate ε bτ of the make-up flow meter at time τ are calculated;

[0016] S7: According to the data calculated in S6, the flow meter group is checked to determine whether the data calculated in S6 exceeds the specified limit value, and if it exceeds, it is a non-normal working state; if it does not exceed, it is a normal working state.

[0017] 2. The flow meter group heat correction method based on the normalization principle, when checked by the flow meter group online checking method based on the normalization principle, the flow data of the flow meter group are acquired in real time in step S1, and the measured heat Q of each heat station is also acquired. is The measured flow G of each heat station and the corrected flow G of each heat station are used to correct the measured heat Q of each heat station as follows: is ix is

[0018]

[0019] Q ix is the corrected heat of the heat station; and Q is is the measured heat of the heat station.

[0020] Compared with the prior art, the application has the following effects:

[0021] The flow meter group online checking method based on the normalization principle analyzes the measurement data of the flow sensor group with measurement data errors, determines the normalization coefficient, and unifies the measurement data of each flow sensor in the flow meter group except the heat source sensor to the corrected flow based on the total heat source flow, so that the measurement data closure of the flow sensor group is realized.

[0022] Meanwhile, the flow ratio change rate calculation method of the flow sensor determines the judgment basis for online checking, realizes online diagnosis of the working condition of the flow sensor without stopping heating, and determines the fault position.

[0023] The flow meter group heat correction method based on the normalization principle can correct the flow data of each sensor while realizing online checking of the flow meter group, can correct the measured heat data of each heat station in the heating system, and helps the government or enterprise to obtain more accurate heat data for accounting. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a schematic diagram of a heating system;

[0025] 1-heat source; 2-circulating water pump; 3-water supplement pump; 4-heat station; 5-source heat meter; 6-station heat meter; 7-supplement water flow meter; 8-cloud platform. DETAILED DESCRIPTION ​​​

[0026] Specific implementation method one: combination Figure 1 In this embodiment, a source heat meter 5 for measuring total heat supply is arranged at the heat source 1, and a station heat meter 6 of each heat station is arranged at the network side of the heat station distributed in the city. The heat meter is composed of a flow sensor, a temperature sensor and an integrator. The flow sensor of the heat meter is generally arranged on the water supply pipeline. The flow sensor measures the water flow, the temperature sensor measures the supply and return water temperature, and the heat meter calculates the heat data through the integrator. The leakage (normal leakage) of the valve, compensator and the like in the pipe network system cannot be measured by the flow sensor arranged at the heat station, and the total water supplement of the pipe network can be measured by the water supplement flow meter 7 arranged at the water supplement point. The measured and calculated data is transmitted to the cloud platform 8 through wireless or wired mode.

[0027] In the case of no leakage caused by accidents in the pipe network, for the system with continuous water supplement, the relationship between the total flow measured by the flow sensor at the heat source and the flow measured by the flow sensor at each heat station and the total water supplement measured by the water supplement flow meter is:

[0028]

[0029] In the formula: G0——total flow measured by the flow sensor at the heat source, m 3 / h; G i ——flow measured by the flow sensor at the heat station, m 3 / h; G b ——water supplement measured by the water supplement flow meter, m 3 / h.

[0030] The flow value measured by the flow sensor is related to the accuracy level of the instrument. At present, the flow sensor used in the heat supply system is mostly ultrasonic flow meter or electromagnetic flow meter. In the flow sensor measurement and verification regulation, it is stipulated that the flow meter shall be verified by water when it is delivered. Between the dividing flow q t and the maximum flow q max , the maximum allowable error Eq of the flow meter shall not be greater than the maximum allowable error stipulated for a certain accuracy level. According to the heat meter GB / T32224-2020, the maximum allowable error Eq of the flow sensor can be expressed as

[0031]

[0032] In the formula: q p --common (capacity) flow, m 3 / h; q——actual flow, m 3h; n-coefficient, primary, secondary, tertiary flow sensor, n is 1, 2, 3 respectively; m-coefficient, primary, secondary, tertiary flow sensor, m is 0.01, 0.02, 0.05 respectively. The total flow measured at the heat source and the flow measured at each heat station have the following relationship:

[0033]

[0034] Formula (3) shows that the measurement error of the flow meter group composed of dozens or even thousands of qualified flow meters installed in the heating system may be positive or negative. This leads to the following possibilities of the total flow measured at the heat source and the flow data measured by the flow meters at each heat station:

[0035] (1) the total flow sensor at the heat source measures the maximum positive deviation, and each heat station flow sensor measures the maximum positive deviation;

[0036] (2) the total flow sensor at the heat source measures the maximum negative deviation, and each heat station flow sensor measures the maximum negative deviation;

[0037] (3) the total flow sensor at the heat source measures the maximum positive deviation, and each heat station flow sensor measures the maximum negative deviation;

[0038] (4) the total flow sensor at the heat source measures the maximum negative deviation, and each heat station flow sensor measures the maximum positive deviation;

[0039] (5) the total flow sensor at the heat source measures the maximum positive deviation, and each heat station flow sensor measures part of the maximum positive deviation, part of the maximum negative deviation, and part of the intermediate deviation;

[0040] (6) the total flow sensor at the heat source measures the maximum negative deviation, and each heat station flow sensor measures part of the maximum positive deviation, part of the maximum negative deviation, and part of the intermediate deviation.

[0041] Therefore, the measurement data in the flow sensor group is not closed, which will affect the judgment of the flow sensor state.

[0042] The online verification method of the flow meter group based on the normalization principle of the embodiment includes the following steps:

[0043] S1: real-time acquisition of flow data of the flow meter group, the flow meter group including a heat source flow sensor, each heat station flow sensor and a makeup water flow meter, the flow data including: the measured flow G 0s of the heat source, the measured flow G is of each heat station, and the measured flow G bsIn the formula, the subscripts "0", "i", and "b" represent the heat source, the heating station number, and the water replenishment volume, respectively.

[0044] S2: Based on the flow data obtained from the flow meter group, calculate the normalization coefficient β of the heating system during the stable time period. x Normalization coefficient β x The measured flow rate G of the heat source 0s As a baseline flow rate, the normalization coefficient β x It is derived from the following formula:

[0045]

[0046] Where: β x —Normalization coefficient based on heat source flow rate; G is —Flow sensors at heating stations measure flow rate, in m³ 3 / h;G 0s —Heat source flow sensor measures flow rate, m 3 / h;G bs —The water supply flow meter measures the flow rate, in meters. 3 / h;

[0047] S3: Normalization coefficient β calculated from S2 x The flow data of the flow meter group within a stable time period is corrected to obtain the corrected flow rate G for each heating station. ix And the corrected flow rate G of the water supply flow meter. bx ;

[0048] S4: Corrected flow rate G of the heating station calculated based on S3 ix And the corrected flow rate G of the water supply flow meter bx Treating the corrected flow rate as the actual flow rate, the ratio of the actual flow rate α at the beginning of the stable period for each thermal power station is calculated. ix0 The actual flow rate of the water supply flow meter at the beginning of the stable period is α. bx0 ;

[0049] S5: At any time τ within the stable time period, the corrected flow rate G of the heat station calculated based on S3. ix And the corrected flow rate G of the water supply flow meter bx Treating the corrected flow rate as the actual flow rate, the ratio of the actual flow rate to α at each heating station at time τ is calculated. ixτ The actual flow rate of the water supply flow meter at time τ is equal to α. bxτ ;

[0050] S6: Based on the data calculated in S4 and S5, calculate the rate of change ε ​​of the actual flow ratio of each heating station at time τ within the stable time period. iτAnd the actual flow rate of the water replenishment flow meter at the time τ changes rate ε bτ ;

[0051] S7: According to the data calculated in S6, the flow meter group is checked to determine whether the data calculated in S6 exceeds the specified limit value. If it exceeds, it is a non-normal working state; if it does not exceed, it is a normal working state.

[0052] The skilled person can upload the data measured during the stable heating operation of the heating system to the cloud platform by the method of the present application. The cloud platform normalizes the large amount of sensor group measurement data obtained to determine a normalization coefficient. The flow values of each heat station are corrected by using the normalization coefficient, and the corrected data is used as the basis to calculate the flow rate change rate of each flow sensor, which is used as the basis for determining the normal operation of the equipment in the system. The online analysis of the flow meter group is realized, the problem of non-closed measurement data in the flow sensor group in the prior art is solved, and the problem of being unable to calibrate a single device on site, the heating system being difficult to stop running to check the performance of the flow sensor, and the lack of a method for diagnosing the working condition of the flow sensor without stopping heating is solved.

[0053] Specific implementation method two: combined with Figure 1 To illustrate this implementation, before acquiring the flow data of the flow meter group in S1, the working state of the heat source flow sensor needs to be checked regularly to ensure that the heat source flow sensor is in a normal working state. The method for regularly checking the working state of the heat source flow sensor includes:

[0054] Scheme one: using a portable flow measurement device to detect the working state of the heat source flow sensor;

[0055] Scheme two: using the flow characteristics of the heating system itself to check the working state of the heat source flow sensor. The flow characteristics of the heating system itself include the flow characteristics of the elbow, the flow characteristics of the water pump, and the flow characteristics of the regulating valve. The other steps are the same as those of the specific implementation method one.

[0056] Specific implementation method three: combined with Figure 1 To illustrate this implementation, in the online checking method of the flow meter group based on the normalization principle of this implementation, the corrected flow G i x of each heat station in S3, and the corrected flow G bx of the water replenishment flow meter are calculated by the following formula:

[0057] G ix = G is β x

[0058] G bx = Gbs β x

[0059] G ix — the corrected flow rate of the heat station, m 3 / h; G bx — the corrected flow rate of the water supplement flow meter, m 3 / h; other steps are the same as those in embodiment I or II.

[0060] Embodiment IV: Combination Figure 1 In this embodiment, the actual flow rate ratio of each heat station at the starting time of the stable time period in S4 of the online verification method of the flow meter group based on the normalization principle is α ix0 , the actual flow rate ratio of the water supplement flow meter at the starting time of the stable time period is α bx0 , which is calculated by the following formula:

[0061]

[0062]

[0063] G ix0 — the actual flow rate ratio of the heat station at the starting time of the stable time period; G bx0 — the actual flow rate ratio of the water supplement flow sensor at the starting time of the stable time period; G 0s0 — the measured flow rate of the heat source at the starting time of the stable time period, m 3 / h; G ix0 — the corrected flow rate of the heat station at the starting time of the stable time period, m 3 / h; G bx0 — the corrected flow rate of the water supplement flow meter at the starting time of the stable time period, m 3 / h. Other steps are the same as those in embodiment I or II or III.

[0064] Embodiment V: Combination Figure 1 In this embodiment, the actual flow rate ratio of each heat station at the time τ in S5 of the online verification method of the flow meter group based on the normalization principle is α ixτ , the actual flow rate ratio of the water supplement flow meter at the time τ is α bxτ , which is calculated by the following formula:

[0065]

[0066]

[0067] G ixτ — the actual flow rate ratio of the heat station at the time τ in the stable time period; G bxτActual flow rate ratio of water supplement flow meter at time τ in stable time period; G 0sτ Measured flow rate of heat source at time τ in stable time period, m 3 / h; G ixτ Corrected flow rate of heat station at time τ in stable time period, m 3 / h; G bxτ Corrected flow rate of water supplement flow meter at time τ in stable time period, m 3 / h. Other steps are the same as those in embodiment one or two or three or four.

[0068] Specific embodiment six: combined with Figure 1 In this embodiment, the actual flow rate ratio variation rate ε of each heat station at time τ in stable time period in the online verification method of flow meter group based on normalization principle of this embodiment is calculated by formula: iτ And the actual flow rate ratio variation rate ε of water supplement flow meter at time τ in stable time period is calculated by formula: bτ

[0069]

[0070]

[0071] In the formula: ε iτ Actual flow rate ratio variation rate of each heat station at time τ in stable time period; ε bτ Actual flow rate ratio variation rate of water supplement flow meter at time τ in stable time period. Other steps are the same as those in embodiment one or two or three or four or five.

[0072] Specific embodiment seven: combined with Figure 1 In this embodiment, the determination formula of whether exceeding limit value in S7 in the online verification method of flow meter group based on normalization principle of this embodiment is:

[0073] ε iτ ≤|ε i |

[0074] ε bτ ≤|ε b |

[0075] In the formula: ε i Flow rate ratio variation rate limit value of heat station; ε b Flow rate ratio variation rate limit value of water supplement flow meter. Through the calculation method of flow rate ratio variation rate of flow sensor, the determination basis of online verification is determined, and online diagnosis of working condition of flow sensor is realized without stopping heat supply and determining fault position; other steps are the same as those in embodiment one or two or three or four or five or six.

[0076] ​Specific implementation eight: combination Figure 1 In this embodiment, the online verification method for the flow meter group based on the normalization principle is described. After the S7 online verification of the flow meter group, the flow sensors that do not meet the requirements are determined to be abnormal, and an alarm is sent to the maintenance personnel to the installation site for inspection through wireless or wired means. The maintenance personnel send the inspection results to the cloud platform through wireless or wired means. The cloud platform determines the corresponding disposal scheme according to the flow sensor management plan formulated by the enterprise and sends it to the maintenance personnel. The other steps are the same as those in specific implementation one or two or three or four or five or six or seven.

[0077] Specific implementation nine: combination Figure 1 In this embodiment, the heat meter used in the heating system has two main purposes: one is for trade settlement, and the other is for internal accounting of enterprises. The problem of non-closed flow sensor group data in specific implementation one also affects the deep analysis based on heating data and the formulation of operation decision-making schemes. The heat correction method for the flow meter group based on the normalization principle in this embodiment is used to obtain the measured heat Q is of each heat station and the corrected flow G is of each heat station at the same time as the flow data of the flow meter group is obtained in step S1 in the online verification method for the flow meter group based on the normalization principle described in any one of specific implementations one to nine. ix The measured heat Q is of each heat station is corrected, and the corrected heat Q ix is calculated by the following formula:

[0078]

[0079] In the formula: Q ix is the corrected heat of the heat station, KWh; Q is is the measured heat of the heat station, KWh,

[0080] The corrected flow data of each sensor corrects the measured heat data of each heat station in the heating system, helping the government or enterprises to obtain more accurate heat data for accounting.

[0081] The above merely describes the preferred embodiments of the present application, and it should be understood that the present application is not limited to the above specific embodiments. Although the present application has been disclosed with the preferred embodiments, it is not intended to limit the present application, and any person skilled in the art can make some changes or modifications to the above disclosed technical contents without departing from the technical solution of the present application, and the equivalent embodiments with equivalent changes can be made, as long as they do not depart from the technical solution of the present application, and the technical essence of the present application, and are within the spirit and principles of the present application. Any simple modification, equivalent replacement and improvement of the above embodiments are still within the protection scope of the technical solution of the present application.

Claims

1. A method for online verification of flow meter groups based on the normalization principle, characterized in that, Includes the following steps: S1: Real-time acquisition of flow data from a group of flow meters, including a heat source flow sensor, flow sensors for each heating station, and a makeup water flow meter. The flow data includes: the measured flow rate G of the heat source. 0s Measured flow rate G at each heating station is The flow rate G measured by the water supply flow meter bs In the formula, the subscripts "0", "i", and "b" represent the heat source, the heating station number, and the water replenishment volume, respectively. S2: Based on the flow data obtained from the flow meter group, calculate the normalization coefficient β of the heating system during the stable time period. x Normalization coefficient β x The measured flow rate G of the heat source 0s As a baseline flow rate, the normalization coefficient β x It is derived from the following formula: Where: β x —Normalization coefficient based on heat source flow rate; G is —Flow sensors at heating stations measure flow rates; G 0s — A heat source flow sensor measures flow rate; G bs —The water supply flow meter measures the flow rate; S3: The normalization coefficient β calculated based on S2 x The flow data of the flow meter group within a stable time period is corrected to obtain the corrected flow rate G for each heating station. ix And the corrected flow rate G of the water supply flow meter. bx ; S4: Corrected flow rate G of the heating station calculated based on S3 ix And the corrected flow rate G of the water supply flow meter bx The actual flow rate ratio α at the beginning of the stable period for each thermal power station was calculated. ix0 The actual flow rate of the water supply flow meter at the beginning of the stable period is α. bx0 ; The actual flow rate ratio α at the beginning of the stable period for each thermal station ix0 The ratio of the corrected flow rate of the heat station to the measured flow rate of the heat source at the beginning of the stable time period; The actual flow rate ratio α of the water replenishment flow meter at the beginning of the stable time period is... bx0 The ratio of the corrected flow rate of the makeup water flow meter to the measured flow rate of the heat source at the beginning of the stable time period; S5: At any time τ within the stable time period, the corrected flow rate G of the heat station calculated based on S3. ix And the corrected flow rate G of the water supply flow meter bx The actual flow rate ratio α of each heating station at time τ was calculated. ixτ The actual flow rate of the water supply flow meter at time τ is equal to α. bxτ ; The actual flow rate ratio α of each heating station at time τ ixτ It is the ratio of the corrected flow rate of the heating station to the measured flow rate of the heat source at time τ within a stable time period; The actual flow rate ratio of the water supply flow meter at time τ to α bxτ The ratio of the corrected flow rate of the water supply flow meter to the measured flow rate of the heat source at time τ within a stable time period; S6: Based on the data calculated in S4 and S5, calculate the rate of change ε ​​of the actual flow ratio of each heating station at time τ within the stable time period. iτ The actual flow ratio change rate ε of the water supply flow meter at time τ bτ ; S7: Based on the data calculated by S6, check the flow meter group to determine whether the data calculated by S6 exceeds the specified limit. If it exceeds the limit, it is an abnormal working state; if it does not exceed the limit, it is a normal working state.

2. The online verification method for flow meter groups based on the normalization principle as described in claim 1, characterized in that: Before the S1 acquires the flow data of the flow meter group in real time, the working status of the heat source flow sensor is checked regularly to ensure that the heat source flow sensor is working properly.

3. The online verification method for flow meter groups based on the normalization principle as described in claim 2, characterized in that: The scheme for periodically checking the working status of the heat source flow sensor includes: Option 1: Use a portable flow measurement device to detect the working status of the heat source flow sensor; Option 2: Check the working status of the heat source flow sensor by utilizing the flow characteristics of the heating system's own equipment. The flow characteristics of the heating system's own equipment include: the flow characteristics of elbows, the flow characteristics of water pumps, and the flow characteristics of regulating valves.

4. The online verification method for flow meter groups based on the normalization principle according to claim 1 or 2, characterized in that: The corrected flow rate G of each heating station in S3 ix And the corrected flow rate G of the water supply flow meter. bx It is calculated using the following formula: G ix =G is b x G bx =G bs b x In the formula: G ix — Corrected flow rate of the heating station; G bx — Corrected flow rate of the water supply flow meter.

5. The online verification method for flow meter groups based on the normalization principle as described in claim 4, characterized in that: The actual flow rate ratio α at the beginning of the stable time period for each thermal station in S4 ix0 The actual flow rate of the water supply flow meter at the beginning of the stable period is α. bx0 It is calculated using the following formula: In the formula: α ix0 —The ratio of the actual flow rate of the heating station at the start of the stable period; α bx0 —The ratio of the actual flow rate of the water replenishment flow sensor at the start of the stable time period; G 0s0 —Measured flow rate of the heat source at the start of the stable time period; G ix0 —The corrected flow rate of the heating station at the start of the stable period; G bx0 —The corrected flow rate of the water supply flow meter at the beginning of the stable time period.

6. The online verification method for flow meter groups based on the normalization principle as described in claim 5, characterized in that: The actual flow rate ratio α of each heating station at time τ in S5 ixτ The actual flow rate of the water supply flow meter at time τ is equal to α. bxτ It is calculated using the following formula: In the formula: α ixτ —The ratio of the actual flow rate of the heating station at time τ within a stable time period; α bxτ —The ratio of the actual flow rate of the water supply flow meter at time τ within the stable time period; G 0sτ —Measured flow rate of the heat source at time τ within a stable time period; G ixτ —The corrected flow rate of the heating station at time τ within the stable time period; G bxτ — The corrected flow rate of the water supply flow meter at time τ within the stable time period.

7. The online verification method for flow meter groups based on the normalization principle as described in claim 6, characterized in that: The rate of change ε ​​of the actual flow ratio of each heating station at time τ within the stable time period in S6. iτ The rate of change ε ​​of the actual flow ratio of the water supply flow meter at time τ within the stable time period. bτ The result is calculated using the formula: Where: ε iτ —The rate of change of the actual flow ratio of each heating station at time τ within the stable time period; ε bτ —The rate of change of the actual flow ratio of the water supply flow meter at time τ within the stable time period.

8. The online verification method for flow meter groups based on the normalization principle as described in claim 7, characterized in that: The formula for determining whether the limit is exceeded in S7 is as follows: e iτ ≤|ε i | e bτ ≤|ε b | Where: ε i —Limit on the rate of change of flow ratio at heating stations; ε b — Limit on the rate of change of flow ratio of the water supply flow meter.

9. The online verification method for flow meter groups based on the normalization principle as described in claim 1, characterized in that: After checking the flow meter group online, an alarm is triggered for the flow sensors that are determined to be malfunctioning.

10. A method for correcting the heat of a flow meter group based on the normalization principle, characterized in that: When performing verification using the online verification method for flow meter groups based on the normalization principle as described in any one of claims 1 to 9, in step S1, while acquiring the flow data of the flow meter group in real time, it is also used to acquire the measured heat Q of each heating station. is Based on the measured flow rate G of each heating station is and the corrected flow rate G of each heating station ix The heat Q was measured at each heating station. is The correction is made, and the correction formula is as follows: In the formula: Q ix — Corrected heat capacity of the heating station; Q is — Measuring heat at the heating station.

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