CN113219879A - Intelligent monitoring system of Internet of things - Google Patents
Intelligent monitoring system of Internet of things Download PDFInfo
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- CN113219879A CN113219879A CN202110551742.3A CN202110551742A CN113219879A CN 113219879 A CN113219879 A CN 113219879A CN 202110551742 A CN202110551742 A CN 202110551742A CN 113219879 A CN113219879 A CN 113219879A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000012806 monitoring device Methods 0.000 claims abstract description 54
- 239000007788 liquid Substances 0.000 claims abstract description 40
- 238000001514 detection method Methods 0.000 claims abstract description 38
- 230000005484 gravity Effects 0.000 claims abstract description 20
- 230000008447 perception Effects 0.000 claims abstract description 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 15
- 230000009466 transformation Effects 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims description 12
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 12
- 238000013480 data collection Methods 0.000 claims description 11
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 9
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000001914 filtration Methods 0.000 claims description 9
- 238000005265 energy consumption Methods 0.000 claims description 6
- 238000003973 irrigation Methods 0.000 claims description 6
- 230000002262 irrigation Effects 0.000 claims description 6
- 238000002955 isolation Methods 0.000 claims description 6
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 3
- 238000007493 shaping process Methods 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 239000002028 Biomass Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004200 deflagration Methods 0.000 description 1
- 239000003657 drainage water Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 239000012780 transparent material Substances 0.000 description 1
- 239000002351 wastewater Substances 0.000 description 1
Images
Classifications
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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
-
- 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
- G05B2219/24215—Scada supervisory control and data acquisition
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses an intelligent monitoring system of the Internet of things, which comprises a master control end, an Internet of things perception data collector and a plurality of target detection devices, wherein the Internet of things perception data collector collects data of the target monitoring devices and sends the data to the master control end; the target monitoring device comprises a gravity drainage backflow-preventing monitoring device, an elevator controller, a power transformation and distribution monitoring device, fire-fighting equipment, an intelligent electric meter, an intelligent water meter, a sump liquid level detection device and a basement exhaust system. The invention can monitor the operation condition of the building equipment in a unified and timely manner, and provide corresponding information for timely processing equipment faults and building safety problems; particularly, whether the gravity drainage pipeline is blocked or not can be monitored in real time, and alarm and water supply cut-off are carried out when the blockage occurs.
Description
Technical Field
The invention relates to the technical field of intelligent buildings in the field of Internet of things, in particular to an intelligent monitoring system of the Internet of things.
Background
The existing building control usually carries out independent control on each subsystem, lacks effective centralized control, has low intelligent degree, more monitoring nodes and more occupied manpower, and is easy to cause accidents even if the conditions such as untimely treatment and the like occur due to human negligence.
Particularly, a gravity drainage system in a building at present usually shares one drainage pipeline with multiple floors or drainage rooms, and in the long-term use process, the pipeline is influenced by the pipeline quality, the drainage water quality and other factors, so that blockage can be formed, drainage is not smooth, sewage and wastewater is caused to flow back into a pipeline downstream building, the building function and use are seriously influenced, property loss and property dispute are caused, and therefore, the problem that the pipeline is blocked in time and corresponding measures are adopted is urgently needed to be solved.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system of the Internet of things, which can monitor the operation condition of building equipment uniformly and timely and provide corresponding information for timely processing equipment faults and building safety problems; particularly, whether the gravity drainage pipeline is blocked or not can be monitored in real time, and alarm and water supply cut-off are carried out when the blockage occurs.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
the invention discloses an intelligent monitoring system of the Internet of things, which comprises a master control end, an Internet of things perception data collector and a plurality of target detection devices, wherein the Internet of things perception data collector collects data of the target monitoring devices and sends the data to the master control end;
the master control end comprises a cloud server and/or an urban intelligent community server;
the Internet of things perception data acquisition unit comprises a main control unit, a storage unit, a data receiving and transmitting unit, a data forwarding unit and a human-computer interface, wherein the human-computer interface is connected with the main control unit through a serial communication interface, the storage unit, the data receiving and transmitting unit and the data forwarding unit are all connected with the main control unit, and the data receiving and transmitting unit comprises a plurality of RS485 interfaces and a wired network interface; the data forwarding unit comprises an NBIOT communication module and/or a Lora communication module and/or a carrier communication module;
the target monitoring device comprises a gravity drainage backflow-preventing monitoring device, an elevator controller, a power transformation and distribution monitoring device, fire-fighting equipment, an intelligent ammeter, an intelligent water meter, a sump liquid level detection device and a basement exhaust system;
the gravity drainage backflow-preventing monitoring device comprises a branch pipe, one end of the branch pipe is communicated with a gravity drainage pipe, the other end of the branch pipe is higher than one end of the branch pipe, a liquid level detection device is arranged on the branch pipe, and the detection target liquid level of the liquid level detection device is higher than one end of the branch pipe.
Further, the branch pipe is provided with a radial filter screen, and the radial filter screen is positioned below the liquid level detection device; the branch pipe is provided with a transparent observation window which is positioned below the liquid level detection device, or the branch pipe is a transparent pipe.
Furthermore, the gravity drainage backflow-preventing monitoring device further comprises a signal acquisition unit, the signal acquisition unit comprises an isolation module, a signal shaping circuit, a level conversion circuit and a signal sending module which are sequentially connected, and the output end of the liquid level detection device is connected with the input end of the isolation module.
Further, be equipped with pressure sensor and combustible gas sensor in the branch pipe, pressure sensor, combustible gas sensor are located liquid level detection device's top, and pressure sensor, combustible gas sensor connect the data processing unit, the data processing unit connects data transceiver unit.
Preferably, the data processing unit comprises a filtering unit, the pressure sensor and the combustible gas sensor are connected with the filtering unit through a multi-way switch, the filtering unit is connected with the amplifying unit, the amplifying unit is connected with the A/D conversion unit, the A/D conversion unit is connected with the MCU, the MCU is connected with the signal transmitting module, and the multi-way switch is controlled by the MCU.
Preferably, the master control end receives a liquid level signal output by the liquid level detection device, and when the liquid level signal is kept effective within a preset delay time, the master control end issues an instruction of closing the electric control valve to the internet of things perception data collector, the internet of things perception data collector controls the electric control valve to close, and the electric control valve is positioned on a water supply pipeline.
Preferably, the master control end receives the pressure value and the combustible gas content which are transmitted by the signal sending module and processed by the data processing unit, and sends an alarm signal when the pressure value and/or the combustible gas content are/is greater than a set value.
Furthermore, the intelligent monitoring system also comprises a public lighting monitoring device, a methane concentration monitoring device, a machine room accumulated water monitoring device, a public area equipment energy consumption monitoring device and an automatic irrigation monitoring device, wherein the public lighting monitoring device, the methane concentration monitoring device, the machine room accumulated water monitoring device, the public area equipment energy consumption monitoring device and the automatic irrigation monitoring device are all connected with the Internet of things perception data collector.
Preferably, elevator controller, smart electric meter pass through RS485 bus and/or wired network connection data collection station, change distribution device, fire-fighting equipment pass through wired network connection data collection station, the smart water gauge passes through RS485 bus connection data collection station, sump pit liquid level detection device, basement exhaust system connect thing networking perception data collection station's IO port.
Preferably, basement exhaust system includes carbon monoxide sensor and the long-range collection module of Modbus, carbon monoxide sensor and the long-range collection module of Modbus are installed in underground garage, and the long-range collection module of Modbus is connected to the carbon monoxide sensor, the long-range collection module of Modbus connects data collection station.
The invention has the following beneficial effects:
1. the operation condition of the building equipment can be monitored uniformly and timely, and corresponding information is provided for timely processing equipment faults and building safety problems. Provide basis and guarantee for managing and operating great equipment. Provides a safe, comfortable and intelligent community environment for the owners. The intelligent degree is high.
2. The pressure of gas in the branch pipe can be monitored in real time, and when the pressure of the gas in the branch pipe in the gravity drainage system is too high, the control unit can control the alarm unit to give an alarm; can avoid the harm caused by excessive gas generated by biomass and the like due to blockage of a gravity drainage pipeline and the like.
3. The content of the combustible gas in the branch pipe can be monitored in real time, and when the content of the combustible gas is larger than a set value, an alarm signal can be sent out, so that the occurrence of disastrous accidents such as deflagration in a gravity drainage system is avoided.
Drawings
FIG. 1 is a schematic view of a liquid level detection apparatus;
FIG. 2 is a functional block diagram of the present invention;
fig. 3 is an electrical schematic block diagram of the gravity drainage backflow prevention monitoring device.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the gravity drainage backflow prevention monitoring device related to the invention specifically comprises the following components:
liquid level detection device is located prevents flowing backward monitoring branch pipe, and the both ends of three-way pipe 3 concatenate at gravity drainage pipe 1's vertical section, and branch pipe 2 includes return bend 21, and the third end of three-way pipe 3 is connected to the lower extreme of return bend 21, and the one end of stop valve 4 is connected to the upper end of return bend 21, and the lower extreme of branch pipe 2's vertical section is connected to the other end of stop valve 4, and the upper end of branch pipe 2's vertical section sets up shrouding 8, and shrouding 8 passes through the upper end sealing connection of bolt 10 with branch pipe 2's vertical section.
The vertical section of branch pipe 2 adopts transparent material, perhaps, the vertical section of branch pipe 2 sets up transparent observation window 7, and transparent observation window 7 is located liquid level detection device's below and can see through transparent observation window 7 whether filter screen 6 blocks up.
As shown in fig. 2 and 3, the intelligent monitoring system of the internet of things disclosed by the invention comprises a master control end, a sensing data collector of the internet of things and a plurality of target detection devices, wherein the sensing data collector of the internet of things collects data of the plurality of target monitoring devices and sends the data to the master control end;
the master control end comprises a cloud server and/or an urban intelligent cell server;
the sensing data acquisition unit of the Internet of things comprises a main control unit, a storage unit, a data receiving and transmitting unit, a data forwarding unit and a human-computer interface, wherein the human-computer interface is connected with the main control unit through a serial communication interface, the storage unit, the data receiving and transmitting unit and the data forwarding unit are all connected with the main control unit, and the data receiving and transmitting unit comprises a plurality of RS485 interfaces and a wired network interface; the data forwarding unit comprises an NBIOT communication module and/or a Lora communication module and/or a carrier communication module;
the target monitoring device comprises a gravity drainage backflow-preventing monitoring device, an elevator controller, a power transformation and distribution monitoring device, fire-fighting equipment, an intelligent ammeter, an intelligent water meter, a sump liquid level detection device and a basement exhaust system;
the gravity drainage backflow-preventing monitoring device further comprises a signal acquisition unit, the signal acquisition unit comprises an isolation module, a signal shaping circuit, a level conversion circuit and a signal sending module which are sequentially connected, and the output end of the liquid level detection device is connected with the input end of the isolation module.
And a pressure sensor and a combustible gas sensor are arranged in the branch pipe, the pressure sensor and the combustible gas sensor are positioned above the liquid level detection device, the pressure sensor and the combustible gas sensor are connected with a data processing unit, and the data processing unit is connected with a data receiving and transmitting unit.
The data processing unit comprises a filtering unit, the pressure sensor and the combustible gas sensor are connected with the filtering unit through a multi-way switch, the filtering unit is connected with the amplifying unit, the amplifying unit is connected with the A/D conversion unit, the A/D conversion unit is connected with the MCU, the MCU is connected with the signal transmitting module, and the multi-way switch is controlled by the MCU.
The main control end receives a liquid level signal output by the liquid level detection device, when the liquid level signal is kept effective in a preset delay time, the main control end issues an instruction of closing the electric control valve to the Internet of things perception data acquisition unit, the Internet of things perception data acquisition unit controls the electric control valve to be closed, and the electric control valve is positioned on a water supply pipeline.
And the master control end receives the pressure value and the combustible gas content which are transmitted by the signal sending module and processed by the data processing unit, and sends out an alarm signal when the pressure value and/or the combustible gas content are/is greater than a set value.
The cloud server also transmits detection data, alarm information and the like of each target monitoring device to mobile equipment such as a smart phone of corresponding personnel in a wireless mode.
The intelligent management system also comprises a public lighting monitoring device, a methane concentration monitoring device, a machine room water accumulation monitoring device, a public area equipment energy consumption monitoring device and an automatic irrigation monitoring device, wherein the public lighting monitoring device, the methane concentration monitoring device, the machine room water accumulation monitoring device, the public area equipment energy consumption monitoring device and the automatic irrigation monitoring device are all connected with the Internet of things sensing data acquisition unit.
Elevator controller, smart electric meter pass through RS485 bus and/or wired network connection data collection station, become distribution device, fire-fighting equipment pass through wired network connection data collection station, the smart water gauge passes through RS485 bus connection data collection station, sump pit liquid level detection device, basement exhaust system connect thing networking perception data collection station's IO port.
It includes carbon monoxide sensor and Modbus remote acquisition module to state basement exhaust system, carbon monoxide sensor and Modbus remote acquisition module install in underground garage, and carbon monoxide sensor connects the remote acquisition module of Modbus, the remote acquisition module of Modbus connects data collection station.
The present invention is capable of other embodiments, and various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. Thing networking intelligent monitoring system, its characterized in that: the system comprises a master control end, an Internet of things perception data collector and a plurality of target detection devices, wherein the Internet of things perception data collector collects data of the target monitoring devices and sends the data to the master control end;
the master control end comprises a cloud server and/or an urban intelligent community server;
the Internet of things perception data acquisition unit comprises a main control unit, a storage unit, a data receiving and transmitting unit, a data forwarding unit and a human-computer interface, wherein the human-computer interface is connected with the main control unit through a serial communication interface, the storage unit, the data receiving and transmitting unit and the data forwarding unit are all connected with the main control unit, and the data receiving and transmitting unit comprises a plurality of RS485 interfaces and a wired network interface; the data forwarding unit comprises an NBIOT communication module and/or a Lora communication module and/or a carrier communication module;
the target monitoring device comprises a gravity drainage backflow-preventing monitoring device, an elevator controller, a power transformation and distribution monitoring device, fire-fighting equipment, an intelligent ammeter, an intelligent water meter, a sump liquid level detection device and a basement exhaust system;
the gravity drainage backflow-preventing monitoring device comprises a branch pipe, one end of the branch pipe is communicated with a gravity drainage pipe, the other end of the branch pipe is higher than one end of the branch pipe, a liquid level detection device is arranged on the branch pipe, and the detection target liquid level of the liquid level detection device is higher than one end of the branch pipe.
2. The intelligent monitoring system of the internet of things according to claim 1, wherein: the branch pipe is provided with a radial filter screen which is positioned below the liquid level detection device; the branch pipe is provided with a transparent observation window which is positioned below the liquid level detection device, or the branch pipe is a transparent pipe.
3. The intelligent monitoring system of the internet of things according to claim 2, wherein: the gravity drainage backflow-preventing monitoring device further comprises a signal acquisition unit, the signal acquisition unit comprises an isolation module, a signal shaping circuit, a level conversion circuit and a signal sending module which are sequentially connected, and the output end of the liquid level detection device is connected with the input end of the isolation module.
4. The intelligent monitoring system of the internet of things according to claim 3, wherein: the branch pipe is internally provided with a pressure sensor and a combustible gas sensor, the pressure sensor and the combustible gas sensor are positioned above the liquid level detection device, the pressure sensor and the combustible gas sensor are connected with a data processing unit, and the data processing unit is connected with a data receiving and transmitting unit.
5. The intelligent monitoring system of the internet of things according to claim 4, wherein: the data processing unit comprises a filtering unit, the pressure sensor and the combustible gas sensor are connected with the filtering unit through a multi-way switch, the filtering unit is connected with the amplifying unit, the amplifying unit is connected with the A/D conversion unit, the A/D conversion unit is connected with the MCU, the MCU is connected with the signal transmitting module, and the multi-way switch is controlled by the MCU.
6. The intelligent monitoring system of the internet of things according to claim 3, wherein: the main control end receives a liquid level signal output by the liquid level detection device, when the liquid level signal is kept effective in a preset delay time, the main control end issues an instruction of closing the electric control valve to the Internet of things perception data acquisition unit, the Internet of things perception data acquisition unit controls the electric control valve to be closed, and the electric control valve is positioned on a water supply pipeline.
7. The intelligent monitoring system of the internet of things according to claim 4 or 5, wherein: and the master control end receives the pressure value and the combustible gas content which are transmitted by the signal sending module and processed by the data processing unit, and sends out an alarm signal when the pressure value and/or the combustible gas content are/is greater than a set value.
8. The intelligent monitoring system of the internet of things according to claim 1, wherein: the intelligent monitoring system is characterized by further comprising a public lighting monitoring device, a methane concentration monitoring device, a machine room accumulated water monitoring device, a public area equipment energy consumption monitoring device and an automatic irrigation monitoring device, wherein the public lighting monitoring device, the methane concentration monitoring device, the machine room accumulated water monitoring device, the public area equipment energy consumption monitoring device and the automatic irrigation monitoring device are all connected with the Internet of things perception data acquisition unit.
9. The intelligent monitoring system of the internet of things according to claim 1, wherein: the elevator controller and the intelligent electric meter are connected with the data collector through an RS485 bus and/or a wired network, the power transformation and distribution device and the fire fighting equipment are connected with the data collector through the wired network, the intelligent water meter is connected with the data collector through the RS485 bus, and the sump liquid level detection device and the basement exhaust system are connected with an I/O port of the Internet of things perception data collector.
10. The intelligent monitoring system of the internet of things based on the internet of things as claimed in claim 1, wherein: basement exhaust system includes carbon monoxide sensor and the long-range collection module of Modbus, carbon monoxide sensor and the long-range collection module of Modbus are installed in underground garage, and the long-range collection module of Modbus is connected to the carbon monoxide sensor, the long-range collection module of Modbus connects data collection station.
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| CN202110551742.3A CN113219879A (en) | 2021-05-20 | 2021-05-20 | Intelligent monitoring system of Internet of things |
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Application publication date: 20210806 |