CN111679603A - Experimental facilities intelligent monitoring system based on thing networking - Google Patents
Experimental facilities intelligent monitoring system based on thing networking Download PDFInfo
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- CN111679603A CN111679603A CN202010498988.4A CN202010498988A CN111679603A CN 111679603 A CN111679603 A CN 111679603A CN 202010498988 A CN202010498988 A CN 202010498988A CN 111679603 A CN111679603 A CN 111679603A
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- 230000006855 networking Effects 0.000 title claims description 5
- 239000003990 capacitor Substances 0.000 claims description 27
- 238000005070 sampling Methods 0.000 claims description 12
- 238000000034 method Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 4
- 230000008447 perception Effects 0.000 description 7
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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Abstract
The invention discloses an intelligent monitoring system for experimental equipment based on the Internet of things, which comprises a main control circuit module, an instrument and meter module, a pendant information module, four information modules, an experimental bench control module and a router module, wherein the four information modules comprise an oscilloscope, a signal generator, a direct-current power supply and a universal meter, and the pendant information module comprises a data acquisition module and a pendant identification module. The invention has the beneficial effects that: the four major information modules are converted through a protocol, gateway data are transmitted to configuration software and a cloud platform, and then collected major data are intelligently processed; the pendant information comprises pendant module identification and data acquisition, the identification of the pendant module is carried out through RFID, the detection is carried out through various sensors, and the acquired data are also transmitted to the configuration software and the cloud platform; after the data are collected, WebAccess can process and compare the collected data, and judge whether the experimental condition is normal or not after the data are analyzed.
Description
Technical Field
The invention relates to the technical field of monitoring of the Internet of things, in particular to an intelligent monitoring system for experimental equipment based on the Internet of things.
Background
Internet of Things (Internet of Things) refers to Ubiquitous (infrastructure) end Devices (Devices) and Facilities (Facilities), including sensors with "internal intelligence", mobile terminals, industrial systems, building control systems, home intelligence Facilities, video monitoring systems, etc., and "external Enabled" (Enabled) such as RFID-attached Assets (Assets), wireless terminal-carrying individuals and vehicles, etc. "intelligent objects or animals" or "intelligent dust" (Mote), and the Internet (Intranet), private network (extra), and/or Internet (Internet) environment, where appropriate information security mechanisms are used to provide safe, controllable, and personalized real-time online monitoring, and even real-time online monitoring, The management and service functions of positioning and tracing, alarm linkage, scheduling command, plan management, remote control, safety precaution, remote maintenance, online upgrade, statistical forms, decision support, a leader desktop (a centralized CockpitDashboard) and the like realize the integration of ' high-efficiency, energy-saving, safe and environment-friendly ' management, control and camp on all things '.
The application of the internet of things mainly relates to three parts from the technical aspect, namely external perception, perception information transmission (information transmission can be realized by nodes through wireless networking), information processing and feedback control. The intelligent technology runs through the whole Internet of things and is the core of the core technology. The perception can be intelligent perception, can be multi-node cooperative perception, and can also be an intelligent recognition perception system.
The internet of things is a revolutionary development of another information industry that follows computers, the internet, and mobile communications. Currently, the internet of things is formally listed as one of strategic emerging industries of national key development. The Internet of things industry has the characteristics of long industrial chain and multiple industry groups, and the application range of the Internet of things industry almost covers all industries.
With the popularization of the internet of things, at present, no special internet of things laboratory exists in colleges and universities, and students cannot personally experience the performance of the internet of things. In addition, the students usually operate independently in the experiment, and teachers cannot guide a plurality of students at the same time, cannot know the experimental operation conditions of the students in real time, and cannot monitor the experimental process in time.
Therefore, it is necessary to provide an intelligent monitoring system for experimental equipment based on the internet of things for the above problems.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides an experimental equipment intelligent monitoring system based on the Internet of things.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the utility model provides an experimental facilities intelligent monitoring system based on thing networking, includes master control circuit module, instrument and meter module, pendant information module, four major possession information modules, laboratory bench control module and router module all connect master control circuit module, four major possession information modules include oscilloscope, signal generator, DC power supply and universal meter, pendant information module includes data acquisition module and pendant identification module, the instrument and meter includes alternating current signal, direct current signal, power signal and power factor.
Further, the router is connected with the R485 bus module through a gateway, the router is connected with the configuration software through a wired network, and the router is connected with the mobile equipment end through a wireless network.
Further, include that data acquisition module includes socket information acquisition module and environment module, information acquisition module includes current sensor and voltage sensor, environment acquisition module includes temperature sensor, humidity transducer and light intensity sensor.
Furthermore, the experiment table control module comprises reservation, power taking and background recording.
Furthermore, the main control circuit module is provided with a CPU circuit, a power supply circuit, a voltage sampling circuit, a current sampling circuit and a pulse output circuit, and the power supply circuit, the voltage sampling circuit, the current sampling circuit and the pulse output circuit are all connected to the CPU circuit.
Furthermore, the CPU circuit comprises a CPU chip, a first pin of the CPU chip is respectively connected with a fifth resistor and grounded through an eighth capacitor, a second pin of the CPU chip is respectively connected with a fourth capacitor and connected with a second inductor, and a third pin of the CPU chip is respectively connected with a third resistor and grounded through a seventh capacitor.
Furthermore, a fourth pin of the CPU chip is connected to the second resistor and grounded through a sixth capacitor, and a fifth pin of the CPU chip is connected to the first resistor and grounded through a fifth capacitor.
Furthermore, the fourth capacitor is respectively connected with the inductor and the collector of the triode, the emitter of the triode is respectively grounded through the first capacitor and the second capacitor, and the base of the triode is grounded through the third capacitor.
The invention has the beneficial effects that: the invention has the beneficial effects that: the four major information modules are converted through a protocol, gateway data are transmitted to configuration software and a cloud platform, and then collected major data are intelligently processed; the pendant information comprises pendant module identification and data acquisition, the identification of the pendant module is carried out through RFID, the detection is carried out through various sensors, and the acquired data are also transmitted to the configuration software and the cloud platform; after the data are collected, WebAccess can process and compare the collected data, and judge whether the experimental condition is normal or not after the data are analyzed.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic block diagram of an intelligent monitoring system for experimental equipment based on the Internet of things;
fig. 2 is a circuit diagram of the CPU of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
As shown in fig. 1 and fig. 2, an experimental facility intelligent monitoring system based on the internet of things comprises a main control circuit module, an instrument module, a pendant information module, four pieces of information modules, an experimental bench control module and a router module, wherein the instrument module, the pendant information module, the four pieces of information modules, the experimental bench control module and the router module are all connected with the main control circuit module, the four pieces of information modules comprise an oscilloscope, a signal generator, a direct-current power supply and a multimeter, the pendant information module comprises a data acquisition module and a pendant identification module, and the instrument comprises an alternating-current signal, a direct-current signal, a power signal and a power factor.
Further, the router is connected with the R485 bus module through a gateway, the router is connected with the configuration software through a wired network, and the router is connected with the mobile equipment end through a wireless network.
Further, include that data acquisition module includes socket information acquisition module and environment module, information acquisition module includes current sensor and voltage sensor, environment acquisition module includes temperature sensor, humidity transducer and light intensity sensor.
Furthermore, the experiment table control module comprises reservation, power taking and background recording.
Furthermore, the main control circuit module is provided with a CPU circuit, a power supply circuit, a voltage sampling circuit, a current sampling circuit and a pulse output circuit, and the power supply circuit, the voltage sampling circuit, the current sampling circuit and the pulse output circuit are all connected to the CPU circuit.
Further, the CPU circuit includes a CPU chip U1, a first pin of the CPU chip U1 is connected to a fifth resistor R5 and grounded through an eighth capacitor C8, a second pin of the CPU chip U1 is connected to a fourth capacitor C4 and connected to a second inductor L2, and a third pin of the CPU chip U1 is connected to a third resistor R3 and grounded through a seventh capacitor C7.
Furthermore, a fourth pin of the CPU chip U1 is connected to the second resistor R2 and grounded through the sixth capacitor C6, respectively, and a fifth pin of the CPU chip U1 is connected to the first resistor R1 and grounded through the fifth capacitor C5, respectively.
Furthermore, the fourth capacitor C4 is respectively connected to an inductor and a collector of the transistor Q1, an emitter of the transistor Q1 is respectively grounded through the first capacitor C1 and the second capacitor C2, and a base of the transistor Q1 is grounded through the third capacitor C3.
The invention has the beneficial effects that: the invention has the following beneficial effects: the four major information modules are converted through a protocol, gateway data are transmitted to configuration software and a cloud platform, and then collected major data are intelligently processed; the pendant information comprises pendant module identification and data acquisition, the identification of the pendant module is carried out through RFID, the detection is carried out through various sensors, and the acquired data are also transmitted to the configuration software and the cloud platform; after the data are collected, WebAccess can process and compare the collected data, and judge whether the experimental condition is normal or not after the data are analyzed.
The working principle is as follows: the four major pieces of information acquisition comprises setting parameters, acquiring waveforms, reading states, acquiring measurement results and other information. The existing oscilloscope in the laboratory is provided with an LAN port and a USB interface, can transmit gateway data to configuration software and a cloud platform through protocol conversion, and then intelligently processes the collected big data. The pendant information comprises pendant module identification and data acquisition, the pendant module is identified through RFID, and detection is performed through a Hall sensor, a current transformer, a voltage transformer, a temperature sensor, a humidity sensor, a light intensity sensor and the like. The collected data are also transmitted to configuration software and the cloud platform.
A single laboratory bench of perception layer global design contains the ammeter of 9 different functions, contains multi-functional 3 looks ammeters, direct current ammeter, direct current voltmeter, alternating current ammeter, and alternating current voltmeter, the industry 485 interfaces and the MODBUS communication protocol that the ammeter unified adoption was guaranteed, and the ammeter quality testing has corresponding independent insulation system, prevents mutual interference.
The instrument data is transmitted to the porphyry gateway ECU-1152 through a 485 interface and an MODBUS communication protocol. ECU-1152 has an open and robust platform design, and supports Ethernet wired communication
The WIFI/3G/GPRS/4G wireless communication mode is compatible with various industrial standard communication protocols Modbus and IEC-60870, and can be effectively integrated with WebAccess upper-layer software, so that the ECU-1152 is more suitable for being applied to industrial and energy Internet of things related distributed monitoring. After data are collected, the configuration software and the cloud service platform can be reached through the router. The time-based porphyry WebAccess software adopted by the platform layer is the core of a porphyry Internet of things application platform solution, provides a user interface based on an HTML5 technology, and realizes data access experience of cross-platform and cross-browser. After the WebAccess is used, a user can establish an information management platform, and the efficiency of vertical market management development is synchronously improved. WebAccess can process and compare the collected data, and judge whether the experimental condition is normal after analyzing the data.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (8)
1. The utility model provides an experimental facilities intelligent monitoring system based on thing networking which characterized in that: the multifunctional intelligent teaching instrument comprises a main control circuit module, an instrument and meter module, a pendant information module, four pieces of information modules, a laboratory bench control module and a router module, wherein the instrument and meter module, the pendant information module, the four pieces of information modules, the laboratory bench control module and the router module are all connected with the main control circuit module, the four pieces of information modules comprise an oscilloscope, a signal generator, a direct-current power supply and a universal meter, the pendant information module comprises a data acquisition module and a pendant identification module, and the instrument and meter comprises alternating-current signals, direct-current signals, power signals and power factors.
2. The intelligent monitoring system for experimental equipment based on the internet of things as claimed in claim 1, wherein: the router is connected with the R485 bus module through a gateway, connected with the configuration software through a wired network and connected with the mobile equipment end through a wireless network.
3. The intelligent monitoring system for experimental equipment based on the internet of things as claimed in claim 1, wherein: the intelligent monitoring system is characterized in that the data acquisition module comprises a socket information acquisition module and an environment module, the information acquisition module comprises a current sensor and a voltage sensor, and the environment acquisition module comprises a temperature sensor, a humidity sensor and a light intensity sensor.
4. The intelligent monitoring system for experimental equipment based on the internet of things as claimed in claim 1, wherein: the laboratory bench control module comprises reservation, power taking and background recording.
5. The intelligent monitoring system for experimental equipment based on the internet of things as claimed in claim 1, wherein: the main control circuit module is provided with a CPU circuit, a power supply circuit, a voltage sampling circuit, a current sampling circuit and a pulse output circuit, and the power supply circuit, the voltage sampling circuit, the current sampling circuit and the pulse output circuit are all connected to the CPU circuit.
6. The intelligent monitoring system for experimental equipment based on the Internet of things as claimed in claim 5, wherein: the CPU circuit comprises a CPU chip (U1), a first pin of the CPU chip (U1) is connected with a fifth resistor (R5) and grounded through an eighth capacitor (C8) respectively, a second pin of the CPU chip (U1) is connected with a fourth capacitor (C4) and a second inductor (L2) respectively, and a third pin of the CPU chip (U1) is connected with a third resistor (R3) and grounded through a seventh capacitor (C7) respectively.
7. The intelligent monitoring system for experimental equipment based on the Internet of things as claimed in claim 6, wherein: the fourth pin of the CPU chip (U1) is respectively connected with the second resistor (R2) and grounded through a sixth capacitor (C6), and the fifth pin of the CPU chip (U1) is respectively connected with the first resistor (R1) and grounded through a fifth capacitor (C5).
8. The intelligent monitoring system for experimental equipment based on the internet of things as claimed in claim 7, wherein: the fourth capacitor (C4) is respectively connected with an inductor and a collector of a triode (Q1), an emitter of the triode (Q1) is respectively grounded through the first capacitor (C1) and the second capacitor (C2), and a base of the triode (Q1) is grounded through the third capacitor (C3).
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010498988.4A CN111679603A (en) | 2020-06-04 | 2020-06-04 | Experimental facilities intelligent monitoring system based on thing networking |
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| CN202010498988.4A CN111679603A (en) | 2020-06-04 | 2020-06-04 | Experimental facilities intelligent monitoring system based on thing networking |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102427391A (en) * | 2011-08-18 | 2012-04-25 | 李欣兰 | Integrated analyzer of Internet of Things |
| WO2012100686A1 (en) * | 2011-01-25 | 2012-08-02 | Shao Zehua | Internet of things intelligent gas meter and control system thereof |
| CN102681511A (en) * | 2012-05-16 | 2012-09-19 | 长春市万易科技有限公司 | Data information acquisition intelligent managing and controlling system based on Internet of things |
| CN102855793A (en) * | 2011-06-28 | 2013-01-02 | 上海迈辉信息技术有限公司 | Embedded test system of internet of things and realization method thereof |
| CN107203166A (en) * | 2017-07-14 | 2017-09-26 | 武汉朗宇智能科技有限公司 | A kind of intelligence sensor actual training device |
| CN107623739A (en) * | 2017-09-29 | 2018-01-23 | 北京理工大学 | A kind of Platform of Experimental Teaching perceived based on smart home with controlling |
-
2020
- 2020-06-04 CN CN202010498988.4A patent/CN111679603A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012100686A1 (en) * | 2011-01-25 | 2012-08-02 | Shao Zehua | Internet of things intelligent gas meter and control system thereof |
| CN102855793A (en) * | 2011-06-28 | 2013-01-02 | 上海迈辉信息技术有限公司 | Embedded test system of internet of things and realization method thereof |
| CN102427391A (en) * | 2011-08-18 | 2012-04-25 | 李欣兰 | Integrated analyzer of Internet of Things |
| CN102681511A (en) * | 2012-05-16 | 2012-09-19 | 长春市万易科技有限公司 | Data information acquisition intelligent managing and controlling system based on Internet of things |
| CN107203166A (en) * | 2017-07-14 | 2017-09-26 | 武汉朗宇智能科技有限公司 | A kind of intelligence sensor actual training device |
| CN107623739A (en) * | 2017-09-29 | 2018-01-23 | 北京理工大学 | A kind of Platform of Experimental Teaching perceived based on smart home with controlling |
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Application publication date: 20200918 |
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