CN219474669U - Online instrument and meter calibration system based on energy flow balance - Google Patents
Online instrument and meter calibration system based on energy flow balance Download PDFInfo
- Publication number
- CN219474669U CN219474669U CN202320314935.1U CN202320314935U CN219474669U CN 219474669 U CN219474669 U CN 219474669U CN 202320314935 U CN202320314935 U CN 202320314935U CN 219474669 U CN219474669 U CN 219474669U
- Authority
- CN
- China
- Prior art keywords
- instrument
- calibrated
- meters
- standard
- instruments
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The utility model discloses an online instrument and meter calibration system based on energy flow balance, which comprises a standard instrument and meter, a plurality of calibrated instruments and meters, a plurality of handheld mobile communication synchronous data acquisition positioning terminals, a cloud server data processing platform and a satellite synchronous time service positioning platform, wherein the standard instrument and meters are distributed and installed according to a tree topology structure; the standard instrument is arranged at the root node, the calibrated instrument is arranged at each branch node, and the standard instrument and the calibrated instrument are instruments and meters for measuring corresponding magnitudes of energy flow branches of the same system; the outer surfaces of the standard instrument and the calibrated instrument are respectively attached with unique identification two-dimensional codes corresponding to the standard instrument and the calibrated instrument. The method is simple and practical, easy to realize, low in construction cost, high in calibration efficiency, stable in performance, capable of realizing real-time online and wide-area remote calibration of the calibrated instrument and meter, and has the functional characteristics of high synchronous time precision, small data acquisition synchronous error and the like.
Description
Technical Field
The utility model belongs to the technical field of industrial metering, relates to an online instrument (sensor) calibration system in the field of industrial metering, and particularly relates to an online instrument calibration system based on energy flow balance.
Background
In general, an instrument (sensor) is calibrated in a production line or in a laboratory environment, wherein the instrument (sensor) has one-to-one or single-node multiple same measurement ranges (ranges) between a standard instrument and a calibrated instrument. In a large-scale industrial production system, instruments and meters are usually in tree topology, multiple nodes and multiple layers are arranged in each link of an industrial process in a grading manner, so that accurate collection of physical quantities such as electric energy, flow, pressure, temperature and humidity is realized. Aging misalignment of instruments and meters under the influence of environmental factors in industrial processes is unavoidable, and the accuracy of the instruments and meters is required to be tested and calibrated frequently. But the instrument and meter is disassembled and assembled from the production line for inspection, so that the normal production is often influenced, and the operation and maintenance cost of the instrument and meter is increased. In addition, the buried layout of transmission lines and pipelines in the industrial production process is complex, the distance between nodes is long, the investment for installing detection equipment and laying a data acquisition network is large, the workload of manually processing data is large, the synchronism is poor due to network delay and interference, and the data processing is difficult.
The energy flows of electric energy, heat energy, water energy and the like in the industrial field, and the input and output transmission of the nodes in each link follow the law of conservation of energy, namely the i-th node in the same time period measures the accumulated increment delta E i Theoretically equal to the sum of the metered accumulated increments ΣΔe for each node of the i+1th hierarchy (i+1) I.e. (DeltaE) i ＝∑ΔE (i+1) ). Therefore, the test calibration of the instruments and meters on all the lower nodes can be realized only by ensuring that the instruments and meters of the total nodes have enough accuracy, the detection cost can be effectively reduced, and the detection efficiency is improved.
Disclosure of Invention
Aiming at the defects of the means of the online remote wide area calibration method in the existing instrument (sensor) calibration, the utility model provides an online instrument calibration system based on energy flow balance, which is simple and practical, easy to realize, low in construction cost and stable in performance, and can realize real-time online and wide area remote of the calibrated instrument (sensor). Aiming at the characteristic that energy transmission is always distributed and transferred step by step in a tree topology structure in the metering process of an industrial environment, the online instrument calibration system carries out tree branch topology analysis on the collected metering values of all nodes through a cloud computer, and can calibrate the precision grade of the current online instrument and determine whether the measuring range (measuring range) and the energy consumption use condition are matched or not while carrying out dynamic real-time balance monitoring on energy flow, so as to determine an optimal precision grade matching scheme; meanwhile, the existing industrial energy consumption leakage and abnormal loss can be early warned.
In order to achieve the above purpose, the present utility model adopts the following technical scheme:
an online instrument and meter calibration system based on energy flow balance comprises a standard instrument and meter and a plurality of calibrated instruments and meters which are distributed and installed according to a tree topology structure, and a plurality of handheld mobile communication synchronous data acquisition and positioning terminals (short for synchronous acquisition and positioning terminals), a cloud server data processing platform (short for cloud platform) and a satellite synchronous time service positioning platform; the standard instrument is arranged at the root node, the calibrated instrument is arranged at each branch node, and the standard instrument and the calibrated instrument are instruments and meters for measuring corresponding magnitudes of energy flow branches of the same system; the outer surfaces of the standard instrument and the calibrated instrument are respectively attached with unique identification two-dimensional codes corresponding to the standard instrument and the calibrated instrument; the handheld mobile communication synchronous data acquisition positioning terminal is used for scanning, identifying and acquiring measurement data on instruments and meters and unique identification two-dimensional codes on the instruments and meters, and transmitting the measurement data and the identification data to the cloud server data processing platform.
In the utility model, a standard instrument (sensor) measures a standard comparison value with high accuracy level and is used for calculating the error of the measured value of the calibrated instrument (sensor); the energy flow values have a balance relation, namely the measured values at each node in the same time period are the sum of the measured values at each branch subordinate to the node, the energy measured by each level instrument (sensor) flows according to the tree-shaped branch relation, the standard instrument (sensor) is positioned at the top end (i.e. root node) of each branch node, and the calibrated instrument (sensor) is usually in a multi-level tree-shaped branch structure, but is not limited to the tree-shaped branch structure, and can also be in a network structure with other energy flow balance.
The method comprises the steps that parameters such as a standard instrument (sensor), a scanned positioning place (longitude and latitude coordinates) corresponding to the instrument (sensor) and a triggering time are collected, the measured values of the standard instrument (sensor) and the calibrated instrument (sensor), and the cloud platform calculates the actual measurement error of each calibrated instrument (sensor) by combining with the energy flow balance relation (namely, the measured values on the nodes are the sum of the measured values on all branches subordinate to the nodes), if the actual measurement error of the calibrated instrument (sensor) is smaller than the allowable error accuracy level, the actual measurement error of the calibrated instrument (sensor) meets the requirements, otherwise, the actual measurement error of the calibrated instrument (sensor) does not meet the requirements.
The energy includes, but is not limited to, electric quantity, heat and other physical quantities which can be converted into energy equivalent; the cloud platform can be a single data processing node or a distributed multi-node data processing platform.
The utility model further describes that the data acquisition time of the synchronous acquisition positioning terminal is synchronous time-lapse by a satellite synchronous time-lapse positioning platform (a satellite time-lapse positioning system, such as a Beidou system, a GPS system and the like), so that synchronous acquisition operation of measurement data is completed, and the influence of communication delay time of a ground communication network is avoided. The data (scanning unique identification two-dimensional code and scanning measurement reading) acquired by the synchronous acquisition positioning terminal are strictly bound to the corresponding relation between the scanned positioning place (longitude and latitude coordinates) and time service time corresponding to the instrument (sensor); the data acquired by the synchronous acquisition positioning terminal can be respectively recognized and calculated on the terminal and the cloud server data processing platform, and the calculation result is displayed on the network terminal of the synchronous acquisition positioning terminal or the cloud server data processing platform.
The utility model further discloses that the unique identification two-dimensional code records the name, model specification, number, accuracy level (appliance allowable error), verification/calibration number, effective time limit and other technical parameters of the attached instrument and meter and longitude and latitude coordinate information.
According to the method, synchronous sampling time and measuring time interval are set for each node through synchronous acquisition and positioning terminals and a cloud platform; when the energy measurement physical quantity is acquired, the data acquisition is ensured to be strictly synchronous with satellite time service at a set photographing time, two-dimension codes of all measurement nodes are scanned according to the set time, the digital image of the physical quantity displayed by the measuring instrument is identified and converted into acquisition detection data when the measuring identification information of all the nodes is acquired, and the acquisition detection data and the GPS positioning information are combined and uploaded to a cloud platform server for analysis and calculation.
According to the utility model, the topological relation of the energy consumption metering nodes obtained by calculating the real-time measured value and the positioning parameter by the cloud platform is utilized to automatically generate a topological network diagram of each energy flow node of the industrial production field environment. And according to the subordinate relations of the nodes, testing and calibrating the instrument and the meter, and evaluating the accuracy of the instrument and the meter.
In the utility model, after two-dimensional code identification is carried out on standard instrument (sensor) and calibrated instrument (sensor) information, the accumulated increment of energy flow metering of each node is detected at set time intervals and acquisition frequency. If similar accumulated increment delta E of accumulated increment of different nodes appears, the topological node positions corresponding to the accumulated increment of different appliances can be distinguished by a method of automatically increasing detection frequency and adjusting acquisition time interval in program design.
Since the cumulative increment value of the tree root node in the topological structure is equal to the sum of the metering cumulative increments of each branch of the next stage. The method is characterized in that industrial sites with complex transmission line and pipeline embedding layout can be traversed and checked through a computer according to the balance relation (energy conservation rule) in the energy flow transmission process and the characteristic of gradual distribution and transmission of a tree topology structure, collected metering data of each metering node is searched and found out, a collection node with the node accumulation increment equal to the sum of the branch accumulation increments is found out, the mutual dependence relation of the nodes in a topology sequence is determined, and an intuitive and visual tree branch topology structure diagram is drawn by combining GPS positioning information.
In the utility model, the error relation between the calibrated table and the standard table: if the standard measuring instrument is installed at the ith stage root node of the topological structure, all the working measuring instruments of the (i+1) th stage connected with the standard measuring instrument are calibrated and compared at the same time, so long as the relative allowable error epsilon of the standard measuring instrument of the previous stage is met i Not greater than the relative allowable error (epsilon) of each measuring instrument at the subsequent stage connected with the measuring instrument i+1 ) j One third of the relative error delta of the subsequent stage measured simultaneously j And if the error is not more than one third of the allowable error, judging that the accuracy requirement of the calibrated measuring instrument is met on line, otherwise, judging that the calibrated instrument is out of tolerance.
In the present utility model, the calculated cumulative value of the calibrated meter during operation is a function of the same sampling time interval Δt of each meter, and therefore has the following relationship:
according to the error of the measuring instrument is an inherent attribute of the instrument and is not influenced by the measurement sampling time interval delta t. Therefore, if k metering devices are connected behind the ith-stage root node, the following equation set can be obtained through k times of sampling:
(ΔE i ) 1 、(ΔE i ) 2 ……(ΔE i ) k k times of measurement accumulation increment values of the ith level node respectively;
(ΔE 1 ) 1 、(ΔE 1 ) 2 ……(ΔE 1 ) k k times of metering accumulation corresponding to 1 st metering appliance of i+1st stage respectivelyIncrement measured values;
(ΔE k ) 1 、(ΔE k ) 2 ……(ΔE k ) k the accumulated increment value of the k times corresponding to the kth metering appliance of the (i+1) th stage is obtained.
These measured values are all independent events, and therefore:
the above indicates that by measuring the i-th node (Δe i ) Can solve for the value of (E) for the j-th meter (ΔE) at the i+1-th node j ) Error of delta j That is, the accuracy of the measuring device of the upper node is used for determining the error delta of the j-th measuring device of the lower node j Measured values within the range.
From (4) (5) (6):
if the obtained delta 1 、δ 2 …δ k Less than one third of the allowable error of the accuracy grade of the corresponding metering appliance, the metering performance of the calibrated appliance is indicated to work normally; otherwise, the device is abnormal or has energy consumption leakage or line loss out of tolerance, and inspection and maintenance are needed.
Another significant difference between the on-line calibration of the industrial site and the calibration of the laboratory is that the laboratory can provide stable and reproducible experimental environmental conditions, such as temperature, humidity, electromagnetic radiation, line harmonic interference and the like, strictly according to the verification rules or the calibration standards, which are stable and controllable, and the influence of the environmental parameters on the calibration is sporadic and often has unpredictability due to the complex environmental conditions of the industrial site.
Considering that the influence of these environmental factors is within a sufficiently long observation time range, its sporadic influence has no correlation with the detection time interval Δt. Therefore, when the detection frequency is appropriately increased and the acquisition time interval is adjusted, and the observation time fitting (typically, several days) is sufficiently long, the equations (4), (5), (6) and (7) are still satisfied, and thus, as long as the use environment condition of the root node measuring instrument serving as a standard is ensured to satisfy the requirement, the error factor caused by the environmental fluctuation can be eliminated.
The utility model further illustrates that the energy flow relationships measured by the standard instrumentation (sensors) and the calibrated instrumentation (sensors) are not limited to tree-like branching structures. For other energy flow balance network structures, network segmentation (as shown in fig. 3) can be performed by adding standard instruments (sensors) at corresponding nodes, electric energy flowing through an L branch and measured by the standard instruments (sensors) A1 is added to a value measured by a calibrated instrument (sensor) B2, and the corresponding deductions are performed from the value measured by the calibrated instrument (sensor) B1, so that the energy flow network can be segmented into a plurality of (as shown in fig. 3, two) tree branch structures for calibration respectively.
The utility model has the beneficial effects that:
the utility model has the advantages of simplicity, practicality, easy realization, low construction cost, high calibration efficiency, stable performance, capability of realizing real-time online and wide-area remote calibration of the calibrated instrument and meter (sensor), high synchronous time precision, small data acquisition synchronous error and the like.
Drawings
FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present utility model.
Fig. 2 is a schematic diagram of an energy flow balance transfer topology.
Fig. 3 is a schematic diagram of a system structure of a non-tree topology network divided into a plurality of tree branch systems.
FIG. 4 is a diagram of the topology of the present utility model after node traversal checking in an application instance.
Detailed Description
The utility model is further described below with reference to the accompanying drawings.
Example 1:
as shown in FIG. 1, an energy flow balance based on-line instrument calibration system comprisesStandard instrument A and a plurality of calibrated instruments B which are distributed and installed according to tree topology structure 1 ，B 2 ···B k A plurality of synchronous acquisition positioning terminals C 1 ，C 2 ···C k+1 The system comprises a cloud server data processing platform D (called cloud platform D for short) and a satellite synchronous time service positioning platform; the standard instrument A is arranged at the root node, and the calibrated instrument B 1 ，B 2 ···B k Installed at each branch node, and the standard instrument a and the calibrated instrument B 1 ，B 2 ···B k The measuring instrument and the instrument are instruments for measuring corresponding magnitude of the energy flow branch of the same system; the standard instrument A and the calibrated instrument B 1 ，B 2 ···B k The outer surfaces of the two-dimensional code cards are respectively attached with a unique identification two-dimensional code corresponding to the two-dimensional code; the synchronous acquisition positioning terminal C 1 ，C 2 ···C k+1 The cloud platform D is used for scanning, identifying and collecting the measurement data on the instruments and the unique identification two-dimensional codes on the instruments and transmitting the measurement data and the identification data to the cloud platform D.
In this embodiment, the synchronous acquisition positioning terminal C 1 ，C 2 ···C k+1 The satellite synchronous time service positioning platform is used for time service, and the cloud platform D is used for setting synchronous trigger time and measurement time interval.
In this embodiment, the unique identification two-dimensional code records the name, model specification, number, accuracy level, verification/calibration number, valid time limit and longitude and latitude coordinate information of the instrument to which the unique identification two-dimensional code is attached.
Application example 1:
the experimental original data collected by the code scanning of the full-coverage online electric energy metering device of a certain energy enterprise are shown in table 1.
The topology connection of each node is obtained by carrying out computer tree topology branch analysis on the metering original data in the table 1 as shown in fig. 4.
From fig. 4, it can be seen that the electric energy meter No. 22 can calibrate the electric energy meters No. 19, no. 4 and electric energy meters of all the layers below; the electric energy meter No. 4 can calibrate electric energy meters No. 3, no. 2 and No. 1, and can be compared with the electric energy meter No. 16; the electric energy meter No. 16 can calibrate the electric energy meters No. 9, no. 10 and No. 18 on line, and so on.
Table 1 Electrical energy Meter raw data acquisition Condition of certain energy enterprises
Continuous data acquisition with 10 (day) synchronization time error less than or equal to 2 seconds
In general, for the next stage of standard instruments and meters, k calibrated instruments and meters are directly connected, data acquisition with equal time intervals of more than k times is needed, and then the measurement error value delta of each calibrated instrument and meter is solved according to (8) by using a least square method 1 、δ 2 …、δ k 。
According to the online testing and calibrating method based on the energy-saving balance instrument and meter, the clock and the position of the satellite synchronous positioning instrument and meter device are realized through the synchronous acquisition positioning terminal, the data acquisition is ensured to be synchronous with the satellite time service at the set photographing time, the synchronism of the data acquisition is good, the equipment rationality of the metering instrument can be simply and rapidly analyzed, and the loss abnormality and leakage can be eliminated. Meanwhile, the system can realize the calibration of online instruments and meters in large batch, large scale, wide coverage and real-time remote mode, and particularly realize the long-term objective of carbon neutralization in 2060 before 2030 in China, and has important practical significance in large-scale industrial energy consumption examination and carbon emission intensity detection.
It is to be understood that the above-described embodiments are merely illustrative of the utility model and are not intended to limit the practice of the utility model. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art; it is not necessary here nor is it exhaustive of all embodiments; and obvious variations or modifications thereof are contemplated as falling within the scope of the present utility model.
Claims (3)
1. An energy flow balance-based on-line instrument and meter calibration system is characterized in that: the system comprises standard instruments and meters which are distributed and installed according to a tree topology structure, a plurality of calibrated instruments and meters, a plurality of handheld mobile communication synchronous data acquisition positioning terminals, a cloud server data processing platform and a satellite synchronous time service positioning platform;
the standard instrument is arranged at the root node, the calibrated instrument is arranged at each branch node, and the standard instrument and the calibrated instrument are instruments and meters for measuring corresponding magnitudes of energy flow branches of the same system; the outer surfaces of the standard instrument and the calibrated instrument are respectively attached with unique identification two-dimensional codes corresponding to the standard instrument and the calibrated instrument;
the handheld mobile communication synchronous data acquisition positioning terminal is used for scanning, identifying and acquiring measurement data on instruments and meters and unique identification two-dimensional codes on the instruments and meters, and transmitting the measurement data and the identification data to the cloud server data processing platform.
2. The energy flow balance based on-line instrument calibration system of claim 1, wherein: and the data acquisition time of the handheld mobile communication synchronous data acquisition positioning terminal is subjected to time service by the satellite synchronous time service positioning platform, so that synchronous acquisition operation of measurement data is completed.
3. The energy flow balance based on-line instrument calibration system of claim 1 or 2, wherein: the unique identification two-dimensional code records the name, model specification, number, accuracy level, verification/calibration number and effective time limit of the instrument and meter attached to the unique identification two-dimensional code, and longitude and latitude coordinate information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320314935.1U CN219474669U (en) | 2023-02-24 | 2023-02-24 | Online instrument and meter calibration system based on energy flow balance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320314935.1U CN219474669U (en) | 2023-02-24 | 2023-02-24 | Online instrument and meter calibration system based on energy flow balance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219474669U true CN219474669U (en) | 2023-08-04 |
Family
ID=87438709
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202320314935.1U Active CN219474669U (en) | 2023-02-24 | 2023-02-24 | Online instrument and meter calibration system based on energy flow balance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN219474669U (en) |
-
2023
- 2023-02-24 CN CN202320314935.1U patent/CN219474669U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110471024B (en) | Intelligent electric meter online remote calibration method based on measurement data analysis | |
| CN111398885A (en) | Intelligent electric meter operation error monitoring method combining line loss analysis | |
| CN101255947B (en) | Metered system for automatically capturing fluid flux | |
| CN110274669B (en) | Online calibration method for large-diameter electronic water meter | |
| CN113406558B (en) | Ammeter misalignment detection method and device based on linear regression and electronic equipment | |
| CN102072747B (en) | Thermal parameter field monitoring-based building group energy consumption monitoring system and method thereof | |
| CN106022790A (en) | Quantitative remote sensing product authenticity examination system | |
| CN105044649B (en) | A kind of current transformer error horizontal dynamic detection method and system | |
| CN110177005A (en) | Public utility distributes network analysis | |
| CN110645934A (en) | Online calibration method of displacement sensor | |
| CN105068035B (en) | A kind of voltage transformer error horizontal dynamic detection method and system | |
| Huang et al. | Power distribution system synchrophasor measurements with non-Gaussian noises: Real-world data testing and analysis | |
| CN107631803A (en) | Surface temperature of concrete accurate measurement method based on thermal sensation imaging | |
| CN108615054B (en) | Method for constructing comprehensive index for measuring similarity between drainage pipe network nodes | |
| CN219474669U (en) | Online instrument and meter calibration system based on energy flow balance | |
| CN106568535B (en) | Precision detection system of motor vehicle exhaust emission temperature sensor | |
| CN104502560B (en) | The chemical examination chamber system checked and accepted for Coal Quality | |
| CN109193639B (en) | Robust estimation method for power system | |
| CN113640732A (en) | Electric energy meter metering accuracy estimation system and method based on Pareto distribution | |
| CN109298376B (en) | Electric energy value transmission method and system based on standard electric energy meter group | |
| CN202041228U (en) | Building group energy consumption monitoring device based on thermotechnical parameter field monitoring | |
| CN109387806B (en) | Digital electric energy meter traceability system error influence analysis method based on simulink simulation | |
| CN113033842A (en) | Control management method and control management system for leakage of water supply network system | |
| CN110531308A (en) | A kind of measurement error and its correction of temperature drift validity check method of electric energy meter calibration variation of ambient temperature | |
| CN112577542A (en) | Measuring instrument and remote quantity transmission/tracing method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |