CN112665655A - Glass window heat preservation system standard device on-site calibration instrument based on Internet of things - Google Patents
Glass window heat preservation system standard device on-site calibration instrument based on Internet of things Download PDFInfo
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- CN112665655A CN112665655A CN202110032664.6A CN202110032664A CN112665655A CN 112665655 A CN112665655 A CN 112665655A CN 202110032664 A CN202110032664 A CN 202110032664A CN 112665655 A CN112665655 A CN 112665655A
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- 239000011521 glass Substances 0.000 title claims abstract description 18
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- 238000005259 measurement Methods 0.000 claims description 7
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- 238000009413 insulation Methods 0.000 claims description 3
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims description 2
- 230000006855 networking Effects 0.000 claims 2
- 238000001179 sorption measurement Methods 0.000 claims 1
- 238000012360 testing method Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
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Abstract
The invention discloses a field calibration instrument for a glass window heat preservation system standard device based on the Internet of things, which comprises a wireless pressure sensor module, a wireless temperature and humidity sensor module, a wireless gateway and an upper computer. A plurality of wireless temperature sensor modules and wireless temperature and humidity sensor module adsorb and examine a surface of examination, wireless pressure sensor module and wireless gateway are placed in cold box and hot box, and the host computer sends the acquisition instruction through the cloud ware, controls each module collection frequency, and each module sends the data of gathering to the cloud ware and shows in the host computer through wireless gateway to the wiring complexity of the system that has significantly reduced has improved entire system's degree of automation.
Description
Technical Field
The invention relates to a standard device, in particular to a field calibration instrument for a standard device of a glass window heat insulation system based on the Internet of things.
Background
At present, the heat preservation performance test of domestic building doors and windows is carried out in a laboratory by a calibration hot box method based on a stable heat transfer principle. A door and window test piece is placed between a hot box and a cold box, the hot box simulates the indoor temperature condition of a heating building in winter, and the cold box simulates the outdoor climate condition in winter. And measuring the heating power of the hot box electric heater, subtracting the heat loss through the outer wall of the hot box, the window frame of the test piece and the filling plate, and dividing the heat loss by the product of the area of the test piece and the air temperature difference at two sides to obtain the heat transfer coefficient K value of the building door and window.
The digital temperature and humidity sensor has high accuracy and stability, and is convenient to wire, long in transmission distance, open in communication protocol and convenient to expand.
The digital pressure sensor adopts advanced pressure transmitter technology and CMOS mixed signal processing technology, can directly obtain a high-level calibration pressure signal from a digital interface, and does not need an additional compensation network and a microprocessor.
The traditional temperature, humidity and pressure test method adopts a temperature, humidity and pressure sensing element, extracts an electric signal (a current or voltage signal), performs amplification conditioning and A/D conversion, transmits a temperature and pressure related digital signal to a computer, performs data processing and display to obtain temperature, humidity and pressure test data, and the test method needs to well solve the problems of lead error compensation, multipoint measurement switching error, zero drift of an amplifying circuit and the like in engineering application.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems of errors, complex steps, multiple wiring and the like of the conventional calibrating device for the glass window heat-insulating system, the on-site calibrating instrument for the standard device of the glass window heat-insulating system based on the Internet of things is provided.
In order to achieve the above object, the present invention provides an in-situ calibration instrument for a standard device of a glass window thermal insulation system based on the internet of things, wherein the device comprises:
the pressure sensor module is used for measuring the net pressure difference between the hot box and the cold box of the glass window;
the temperature sensor module is used for measuring the temperature of a measuring point of the glass window;
the temperature and humidity sensor module is used for measuring the humidity of a measuring point of the glass window;
the wireless module is used for transmitting data between the sensor and the wireless gateway;
the wireless gateway module is used for transmitting data between the wireless module and the cloud server;
and the upper computer is used for controlling the sensor module to collect data and monitoring parameters of each measuring point in real time.
Furthermore, the pressure sensor module is a digital pressure sensor and outputs a digital signal according to the pressure signal.
Furthermore, the temperature sensor module is a digital temperature sensor and outputs a digital signal according to the temperature signal.
Furthermore, the temperature and humidity sensor module is a digital temperature and humidity sensor and outputs a digital signal according to the temperature and humidity signal.
Further, the wireless sensor module is an LORA, NB-IOT or ZIGBEE module, and transmits the received data to the wireless gateway.
Furthermore, the sensor module and the wireless module acquisition module are packaged in the ABS shell and provided with antenna interfaces, and the surfaces of the sensor module and the wireless module acquisition module are automatically adsorbed by electrostatic pastes, so that the sensor module and the wireless module acquisition module can be conveniently adsorbed on the surface of glass to realize parameter measurement.
Furthermore, the pressure sensor and the temperature sensor are multiple, and the temperature and humidity sensor is single.
In order to overcome the defects of high labor intensity, large human error and low efficiency in the calibration of a calibration hot box method, the invention provides a standard device field calibration instrument of a glass window heat preservation system based on the Internet of things
The method comprises the following steps:
step 1: placing a plurality of wireless temperature sensors, wireless temperature and humidity sensors and wireless pressure sensors at measuring points;
step 2: the antenna is connected with the wireless gateway, and the data acquisition frequency of the wireless temperature sensor, the wireless temperature and humidity sensor and the wireless pressure sensor is adjusted through the upper computer;
and step 3: the cloud server issues an instruction according to a set frequency, transmits the instruction to the wireless sensor module through the wireless gateway for data acquisition, and displays a returned acquisition result in the upper computer in real time;
and 4, step 4: and automatically generating a calibration certificate and an uncertainty evaluation report after the calibration is finished.
Compared with the prior art, the invention has the following advantages: the device does not need complex connecting lines, is simple to install and debug, and the whole device can accurately measure the temperature and humidity values and the pressure values of all measuring points under different conditions, thereby having important significance for ensuring the accuracy of the detection of the heat transfer coefficient of the glass window, liberating labor force, reducing the influence of identification cost and human factors, and improving the precision and intelligent metering level.
Drawings
FIG. 1 is a diagram showing an overall structure of a standard apparatus according to the present invention.
FIG. 2 is a distribution diagram of hot box measurement points of a standard apparatus of the present invention.
FIG. 3 is a distribution diagram of hot box measurement points of a standard apparatus of the present invention.
FIG. 4 is a flow chart of a standard apparatus of the present invention.
The specific implementation mode is as follows:
the following detailed description of embodiments of the invention refers to the accompanying drawings in which:
referring to fig. 1, the system includes a wireless temperature sensor module 1, a wireless temperature and humidity sensor 2, a wireless acquisition module 3, a wireless gateway 4, and an upper computer 5. The wireless temperature sensor module 1 and the wireless temperature and humidity sensor 2 are fixed on the surface of a to-be-tested part, and the wireless pressure sensor module 3 and the wireless gateway 4 are placed in a hot box and a cold box.
Referring to fig. 2, a measurement point is placed on the surface of the test piece in the hot box.
Referring to FIG. 3, a measuring point is placed on the surface of the test piece in the hot box
Referring to fig. 4, the specific system measurement process is as follows:
step 1: distributing a plurality of wireless temperature sensor modules 1 and wireless temperature and humidity sensors 2 on the surface of a to-be-tested part in a hot box according to a figure 2, distributing a plurality of wireless temperature sensor modules 1 on the surface of the to-be-tested part in a cold box according to a figure 3, and placing a wireless pressure sensor module 3 and a wireless gateway 4 in the hot box and the cold box;
step 2: the antenna is connected with the wireless gateway, the data acquisition frequency of the wireless temperature sensor, the wireless temperature and humidity sensor and the wireless pressure sensor is adjusted through the upper computer, and the power switch of each module is turned on;
and step 3: the cloud server collects data according to a set frequency, and displays the result in the upper computer 5 in real time, and the upper computer 5 automatically displays a data curve according to the received data;
and 4, step 4: and automatically generating a calibration certificate and an uncertainty evaluation report after the calibration is finished.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (4)
1. The utility model provides a glass window heat preservation system standard device field calibration instrument based on thing networking which characterized in that, the calibration instrument includes:
the wireless temperature sensor (1) is used for measuring the temperature of the measuring points of the cold box and the hot box;
the wireless temperature and humidity sensor (2) is used for measuring the temperature and humidity of a measuring point of the hot box;
a wireless differential pressure sensor (3) for measuring the net pressure difference between the cold box and the hot box;
the wireless gateway (4) is used for transmitting data between the sensors (1), (2) and (3) and the cloud server;
and the upper computer (5) is used for controlling the cloud server to issue an acquisition instruction, monitoring the temperature, the temperature and the humidity of each measuring point in real time, automatically calculating a calibration error, evaluating uncertainty and generating a calibration certificate.
2. The standard device field calibration instrument for the glass window insulation system based on the internet of things as claimed in claim 1, wherein the wireless temperature sensor (1) is a high-precision digital temperature sensor. The sensor module (2) is a high-performance digital relative humidity sensor. The sensor module (3) is a low-voltage digital micro differential pressure sensor, and the wireless modules in the sensor modules (1), (2) and (3) are LORA, NB-IOT or ZIGBEE modules.
3. The standard device field calibration instrument for the glass window heat preservation system based on the internet of things as claimed in claim 1, wherein the wireless data acquisition module (temperature, humidity and pressure) is independently packaged, and an automatic adsorption type electrostatic sticker is adopted on the surface of the wireless data acquisition module, so that the wireless data acquisition module can be conveniently adsorbed on the surface of glass to realize parameter measurement.
4. The utility model provides a glass window heat preservation system standard device field calibration instrument based on thing networking which characterized in that contains following step:
step 1: placing a plurality of wireless temperature sensors (1), wireless temperature and humidity sensors (2) and wireless pressure sensors (3) at measuring points;
step 2: the antenna is connected with the wireless gateway (4), and the data acquisition frequency of the wireless temperature sensor (1), the wireless temperature and humidity sensor (2) and the wireless pressure sensor (3) is adjusted through the upper computer (5);
and step 3: the cloud server carries out data acquisition according to a set frequency, and displays the result in the upper computer (5) in real time, and the upper computer (5) automatically displays a data curve according to the received data;
and 4, step 4: and automatically generating a calibration certificate and an uncertainty evaluation report after the calibration is finished.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110032664.6A CN112665655A (en) | 2021-01-12 | 2021-01-12 | Glass window heat preservation system standard device on-site calibration instrument based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110032664.6A CN112665655A (en) | 2021-01-12 | 2021-01-12 | Glass window heat preservation system standard device on-site calibration instrument based on Internet of things |
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| CN112665655A true CN112665655A (en) | 2021-04-16 |
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| CN202110032664.6A Pending CN112665655A (en) | 2021-01-12 | 2021-01-12 | Glass window heat preservation system standard device on-site calibration instrument based on Internet of things |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114993501A (en) * | 2022-05-31 | 2022-09-02 | 中国计量大学 | NTC temperature sensor calibration method based on edge calculation |
| CN116634570A (en) * | 2023-07-25 | 2023-08-22 | 深圳天溯计量检测股份有限公司 | Communication method and device for calibrating device of temperature and humidity inspection instrument of biological medicine test box |
-
2021
- 2021-01-12 CN CN202110032664.6A patent/CN112665655A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114993501A (en) * | 2022-05-31 | 2022-09-02 | 中国计量大学 | NTC temperature sensor calibration method based on edge calculation |
| CN116634570A (en) * | 2023-07-25 | 2023-08-22 | 深圳天溯计量检测股份有限公司 | Communication method and device for calibrating device of temperature and humidity inspection instrument of biological medicine test box |
| CN116634570B (en) * | 2023-07-25 | 2023-09-29 | 深圳天溯计量检测股份有限公司 | Communication method and device for calibrating device of temperature and humidity inspection instrument of biological medicine test box |
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Application publication date: 20210416 |