CN111211795B - Green building supervisory equipment based on big data - Google Patents

Green building supervisory equipment based on big data Download PDF

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Publication number
CN111211795B
CN111211795B CN202010132460.5A CN202010132460A CN111211795B CN 111211795 B CN111211795 B CN 111211795B CN 202010132460 A CN202010132460 A CN 202010132460A CN 111211795 B CN111211795 B CN 111211795B
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resistor
capacitor
operational amplifier
signal
terminal
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CN111211795A (en
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葛远乐
周美兰
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NINGBO CONSTRUCTION TEST Co.,Ltd.
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Ningbo Construction Test Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02Transmitters
    • H04B1/04Circuits
    • H04B1/0475Circuits with means for limiting noise, interference or distortion
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/10Monitoring; Testing of transmitters
    • H04B17/11Monitoring; Testing of transmitters for calibration

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Amplifiers (AREA)

Abstract

The invention discloses a green building monitoring device based on big data, which comprises a waveform detection module, a signal regulation module and an operational amplifier emission module, wherein the waveform detection module collects carrier waveforms when a signal emitter works by using a wave detector J1 with the model number of AD 8313, the signal regulation module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplification circuit, a frequency modulation circuit is formed by using a capacitor C3-a capacitor C7 and a triode Q3 to select frequency of signals, finally, a push-pull circuit is formed by using a triode Q1 and a triode Q2 to prevent signal cross distortion, and finally, the operational amplifier emission module uses an operational amplifier AR1 to amplify in phase and then transmits the amplified signals to a green building monitoring controller through a signal emitter E1, so that the accuracy of error reference signals of the controller is improved, and the controller can conveniently analyze whether data signals are accurate.

Description

Green building supervisory equipment based on big data
Technical Field
The invention relates to the technical field of monitoring, in particular to green building monitoring equipment based on big data.
Background
At present, green building supervisory equipment mainly includes signal transmitter, signal receiver, controller, and the signal that signal transmitter sent is with the signal transmission of carrier wave, and carrier signal can accumulate noise in the transmission, can lead to data signal to lose when the noise accumulation is too big, leads to the signal accuracy that control terminal received to reduce, and error signal appears even, seriously influences the analysis and the data monitoring of controller to data signal.
Disclosure of Invention
In view of the above, to overcome the defects in the prior art, the present invention provides a green building monitoring device based on big data, which can calibrate the carrier waveform of a signal transmitter during operation and convert the carrier waveform into an error reference signal of a controller.
The technical scheme includes that the green building monitoring equipment based on big data comprises a waveform detection module, a signal adjusting module and an operational amplifier emission module, wherein the waveform detection module collects carrier waveforms when a signal emitter works by using a detector J1 with the model number of AD 8313, the signal adjusting module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplifying circuit, a frequency modulation circuit is formed by using a capacitor C3-a capacitor C7 and a triode Q3 to select frequency of signals, then a push-pull circuit is formed by using a triode Q1 and a triode Q2 to prevent signal cross-over distortion, and finally the operational amplifier emission module uses an operational amplifier AR1 to amplify in phase and then sends the amplified signals to a green building monitoring controller through a signal emitter E1.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. an operational amplifier AR3 and a diode D3 are used for forming sawtooth wave voltage at two ends of a capacitor C2, the sawtooth wave voltage is directly applied to an inverting input end of an operational amplifier AR2 and is compared with the voltage at a non-inverting input end of the operational amplifier AR2, when the voltage at two ends of a capacitor C2 is higher than the voltage at the non-inverting input end of the operational amplifier AR2, the operational amplifier AR2 outputs low potential and outputs high potential when the voltage is lower than the voltage at the non-inverting input end of the operational amplifier AR2, the output pulse width is wider, a frequency modulation circuit is formed by a capacitor C3-capacitor C7 and a triode Q3 to select frequency of a signal, a resistor R10-resistor R13 and a capacitor C3-capacitor C5 are used for isolating a normal frequency signal, meanwhile, the cutoff voltage of the triode Q3 is used for screening out abnormal frequency in the signal, a direct current signal is filtered by the capacitor C6 and the capacitor C7, a resistor R15 is a pull-down resistor, the device has the advantages that the voltage division effect is achieved, the effect of screening out abnormal frequencies of signals is achieved, the operation amplifier AR1 is used for amplifying in phase and then sending the amplified signals to the green building monitoring controller through the signal transmitter E1, the accuracy of error reference signals of the controller is improved, and the controller can analyze whether data signals are accurate or not conveniently.
Drawings
FIG. 1 is a block diagram of a signal conditioning module of a big data based green building monitoring device according to the present invention.
FIG. 2 is a block diagram of a waveform detection module of a big data-based green building monitoring device according to the present invention.
FIG. 3 is a block diagram of an operational amplifier transmitting module of a green building monitoring device based on big data according to the present invention.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1 to 3. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
The green building monitoring equipment based on the big data comprises a waveform detection module, a signal adjusting module and an operational amplifier emission module, wherein the waveform detection module collects a carrier waveform when a signal emitter works by using a wave detector J1 with the model number of AD 8313, the signal adjusting module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplifying circuit, a frequency modulation circuit is formed by using a capacitor C3, a capacitor C7 and a triode Q3 to select frequency of a signal, then a push-pull circuit is formed by using a triode Q1 and a triode Q2 to prevent signal cross distortion, and finally the operational amplifier emission module uses an operational amplifier AR1 to amplify in phase and then sends the amplified signal to a green building monitoring controller through a signal emitter E1;
the signal adjusting module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplifying circuit, uses an operational amplifier AR3 and a diode D3 to form a sawtooth wave voltage at two ends of a capacitor C2, the sawtooth wave voltage is directly applied to an inverting input end of the operational amplifier AR2 and is compared with a non-inverting input end voltage of the operational amplifier AR2, when the voltage at two ends of the capacitor C2 is higher than that at the non-inverting input end of the operational amplifier AR2, the operational amplifier AR2 outputs a low potential which is lower than that at the non-inverting input end of the operational amplifier AR2 and is equivalent to cutting off the upper half part of a sawtooth, therefore, the higher the voltage at the non-inverting input end of the operational amplifier AR2 is, the less sawtooth is cut off, the output pulse width is wider, and a frequency modulation circuit consisting of a capacitor C3-capacitor C7 and a triode Q3 is used to select a frequency for a signal, and a resistor R10-resistor R13 and a, meanwhile, the cut-off voltage of the triode Q3 is utilized to screen out abnormal frequency in the signal, the direct current signal is filtered through the capacitor C6 and the capacitor C7, the resistor R15 is a pull-down resistor, and a diode D7 and a diode D8 are utilized to form an amplitude limiting circuit to play a role in voltage division, so that the function of screening out the abnormal frequency of the signal is realized, and finally, the triode Q1 and the triode Q2 are utilized to form a push-pull circuit to prevent signal cross distortion, so that the accuracy of an error reference signal of the controller is improved;
the signal conditioning module has a specific structure that an inverting input end of an operational amplifier AR2 is connected with one end of a resistor R4 and one end of a capacitor C2, the other end of the capacitor C2 is grounded, the other end of the resistor R2 is connected with the inverting input end of the operational amplifier AR2 and one end of the resistor R2, a non-inverting input end of the operational amplifier AR2 is connected with the resistor R2, one end of the resistor R2 and a power supply +5V, the other end of the resistor R2 is grounded, an output end of the operational amplifier AR2 is connected with a cathode of a diode D2 and the other end of the resistor R2, an anode of the diode D2 is connected with one end of the resistor R2 and one end of the resistor R2, the other end of the resistor R2 is connected with the power supply +5V, the output end of the operational amplifier AR2 is connected with one end of the resistor R2, one end of the other end of the resistor R2 is connected with a cathode of the capacitor C2, an anode of the diode D2 and one end of the capacitor C2 and, the other ends of the resistor R13 and the capacitor C5 are grounded, the other end of the resistor R11 is connected with the other end of the capacitor C4 and one end of the capacitor C6, the other end of the capacitor C6 is connected with a collector of the transistor Q3 and one end of the resistor R14 and one end of the capacitor C7, the other end of the resistor R14 is connected with a power supply +5V, an emitter of the transistor Q3 is connected with one end of the resistor R15 and one end of the capacitor C9, the other ends of the resistor R15 and the capacitor C9 are grounded, the other end of the capacitor C7 is connected with the ground, the base of the transistor Q7 and one end of the resistor R7 are connected with one end of the transistor Q7, the other end of the resistor R7 is connected with an anode of the diode D7 and a cathode of the diode D7, a collector of the transistor Q7 is connected with the power supply +5V, an emitter of the transistor Q36.
In a second embodiment, on the basis of the first embodiment, the operational amplifier transmitting module applies an operational amplifier AR1 to amplify in phase and then transmits the amplified signal to the green building monitoring controller through a signal transmitter E1, so as to be an error reference signal of the controller, and the controller can analyze whether a data signal is accurate or not, the in-phase input end of the operational amplifier AR1 is connected to one ends of a resistor R17 and a resistor R18, the other end of a resistor R17 is connected to an emitter of a triode Q1, the anti-phase input end of the operational amplifier AR1 is connected to one end of a capacitor C8, the other end of the capacitor C8 is grounded, and the output end of the operational amplifier AR1 is connected to the other end of the resistor R18 and;
the waveform detection module selects a wave detector J1 with the model number AD 8313 to collect carrier waveforms when a signal transmitter works, a power supply end of a wave detector J1 is connected with +5V, a grounding end of a wave detector J1 is grounded, an output end of the wave detector J1 is connected with one end of a resistor R1, the other end of a resistor R1 is connected with a negative electrode of a voltage regulator tube D1 and one end of a resistor R2, an anode of a voltage regulator tube D1 is grounded, the other end of the resistor R2 is connected with one end of a resistor R3 and one end of a capacitor C1, the other end of a capacitor C1 is grounded, and the other end of the resistor R3 is connected with a.
When the invention is used specifically, the green building monitoring equipment based on big data comprises a waveform detection module, a signal adjusting module and an operational amplifier transmitting module, wherein the waveform detection module uses a wave detector J1 with the model number of AD 8313 to collect the carrier waveform when a signal transmitter works, the signal adjusting module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplifying circuit, a sawtooth wave voltage is formed at two ends of a capacitor C2 by using an operational amplifier AR3 and a diode D3 and is directly applied to the opposite phase input end of the operational amplifier AR2 and is compared with the same phase input end voltage of the operational amplifier AR2, when the voltage at two ends of the capacitor C2 is higher than the same phase input end voltage of the operational amplifier AR2, the operational amplifier AR2 outputs a low potential and when the voltage is lower than the same phase input end voltage of the operational amplifier AR2, which is equivalent to cutting off the upper half part of a sawtooth, so that the voltage at the same phase input end of the operational amplifier, the less the saw teeth are cut off, the wider the pulse width of the output is, a frequency modulation circuit consisting of a capacitor C3-a capacitor C7 and a triode Q3 is used for selecting the frequency of the signal, a resistor R10-a resistor R13 and a capacitor C3-a capacitor C5 are used for isolating the normal frequency signal, meanwhile, the cut-off voltage of the triode Q3 is utilized to screen out abnormal frequency in the signal, the direct current signal is filtered through the capacitor C6 and the capacitor C7, the resistor R15 is a pull-down resistor, and a limiting circuit is formed by the diode D7 and the diode D8 to play a role of voltage division and realize the function of screening out abnormal frequency of the signal, a push-pull circuit is formed by the triode Q1 and the triode Q2 to prevent signal cross-over distortion, the accuracy of an error reference signal of the controller is improved, a push-pull circuit is formed by the triode Q1 and the triode Q2 to prevent signal cross-over distortion, and finally the operational amplifier transmitting module is amplified in phase by the operational amplifier AR1 and then transmitted into the green building monitoring controller through the signal transmitter E1.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.

Claims (3)

1. A green building monitoring device based on big data comprises a waveform detection module, a signal adjusting module and an operational amplifier emission module, and is characterized in that the waveform detection module collects carrier waveforms when a signal emitter works by using a detector J1 with the model number of AD 8313, the signal adjusting module uses an operational amplifier AR2, an operational amplifier AR3 and a diode D3 to form a pulse width amplifying circuit, a frequency modulation circuit is formed by using a capacitor C3-a capacitor C7 and a triode Q3 to select frequency of signals, then a push-pull circuit is formed by using a triode Q1 and a triode Q2 to prevent signal cross distortion, and finally the operational amplifier emission module uses an operational amplifier AR1 to amplify in phase and then sends the amplified signals to a green building monitoring controller through a signal emitter E1;
the signal conditioning module comprises an operational amplifier AR2, an inverting input end of the operational amplifier AR2 is connected with one end of a resistor R2 and one end of a capacitor C2, the other end of the capacitor C2 is grounded, the other end of the resistor R2 is connected with the inverting input end of the operational amplifier AR2 and one end of the resistor R2, a non-inverting input end of the operational amplifier AR2 is connected with the resistor R2, one end of the resistor R2 and a power supply +5V, the other end of the resistor R2 is grounded, an output end of the operational amplifier AR2 is connected with a cathode of a diode D2 and the other end of the resistor R2, an anode of the diode D2 is connected with one end of the resistor R2 and one end of the resistor R2, the other end of the resistor R2 is connected with the cathode of the power supply +5V, an output end of the operational amplifier AR2, the other end of the resistor R2 is connected with one end of the resistor R2, one end of the capacitor C2 and one end of the capacitor C2 are connected with the cathode of the resistor R2, and one end of the capacitor C2 of the resistor R2, and one end, the other ends of the resistor R13 and the capacitor C5 are grounded, the other end of the resistor R11 is connected with the other end of the capacitor C4 and one end of the capacitor C6, the other end of the capacitor C6 is connected with a collector of the transistor Q3 and one end of the resistor R14 and one end of the capacitor C7, the other end of the resistor R14 is connected with a power supply +5V, an emitter of the transistor Q3 is connected with one end of the resistor R15 and one end of the capacitor C9, the other ends of the resistor R15 and the capacitor C9 are grounded, the other end of the capacitor C7 is connected with the ground, the base of the transistor Q7 and one end of the resistor R7 are connected with one end of the transistor Q7, the other end of the resistor R7 is connected with an anode of the diode D7 and a cathode of the diode D7, a collector of the transistor Q7 is connected with the power supply +5V, an emitter of the transistor Q36.
2. A green building monitoring device based on big data as claimed in claim 1, wherein the operational amplifier transmitting module includes an operational amplifier AR1, the non-inverting input terminal of the operational amplifier AR1 is connected to one terminal of a resistor R17 and a resistor R18, the other terminal of the resistor R17 is connected to the emitter of a transistor Q1, the inverting input terminal of the operational amplifier AR1 is connected to one terminal of a capacitor C8, the other terminal of the capacitor C8 is connected to ground, and the output terminal of the operational amplifier AR1 is connected to the other terminal of the resistor R18 and a signal transmitter E1.
3. The big-data-based green building monitoring device as claimed in claim 2, wherein the waveform detection module comprises a detector J1 with model number AD 8313, a power supply terminal of the detector J1 is connected with +5V, a ground terminal of the detector J1 is connected with ground, an output terminal of the detector J1 is connected with one end of a resistor R1, the other end of the resistor R1 is connected with a cathode of a voltage regulator D1 and one end of a resistor R2, an anode of the voltage regulator D1 is connected with ground, the other end of the resistor R2 is connected with one end of a resistor R3 and a capacitor C1, the other end of the capacitor C1 is connected with ground, and the other end of the resistor R3 is connected with a non-inverting input terminal of an amplifier AR 46.
CN202010132460.5A 2020-02-29 2020-02-29 Green building supervisory equipment based on big data Active CN111211795B (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101409959A (en) * 2008-11-14 2009-04-15 张军才 Intelligence control circuit for quasi-resonance electromagnet water heater

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108900219B (en) * 2018-09-30 2023-06-23 郑州航空工业管理学院 Network public opinion information early warning system
CN109963124B (en) * 2019-04-03 2020-12-08 王琪 Distributed exhibition room environment monitoring system
CN110324017A (en) * 2019-08-15 2019-10-11 河南省中医院(河南中医药大学第二附属医院) Effective atomizing inhalation device is reminded to internal medicine nursing intelligence
CN110849609B (en) * 2019-11-29 2021-04-27 郑州工程技术学院 Rotary machine vibration fault early warning device
CN110856210B (en) * 2019-11-29 2022-09-23 国网河南省电力公司信息通信公司 Power distribution network communication safety protection system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101409959A (en) * 2008-11-14 2009-04-15 张军才 Intelligence control circuit for quasi-resonance electromagnet water heater

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Inventor after: Ge Yuanle

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