CN108711272A - A kind of object based on NB-IoT topples early warning system - Google Patents
A kind of object based on NB-IoT topples early warning system Download PDFInfo
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- CN108711272A CN108711272A CN201810521446.7A CN201810521446A CN108711272A CN 108711272 A CN108711272 A CN 108711272A CN 201810521446 A CN201810521446 A CN 201810521446A CN 108711272 A CN108711272 A CN 108711272A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
Abstract
It topples early warning system the invention discloses a kind of object based on NB-IoT, including：Multiple detectors, with the shell for being fixed on testee, the observation circuit that PCB circuit board inside the shell is set and is arranged in PCB circuit board, observation circuit has the MEMS inertial sensor module of the six-freedom degree parameter for the spatial movement for real-time perception testee for being fixed on PCB printed wiring board center, the AM2302 ambient temperature and humidities of ambient enviroment humiture parameter for perceiving testee monitor sensor assembly, it is used for transmission the NB-IoT data modules of degree of freedom parameter and ambient temperature and humidity parameter and for carrying out pretreated 32 low-power consumption STM32F103C microcontrollers to degree of freedom parameter and ambient temperature and humidity parameter；Cloud Server is communicated to connect with detector by the Wide Area Netweork that the base stations Wide Area Netweork NB-IoT are constituted, for issuing warning signal；And multiple Forewarning Terminals, it is communicated to connect by Wide Area Netweork and Cloud Server, for receiving pre-warning signal.
Description
Technical field
The invention belongs to Internet of Things field of precision instruments, and in particular to a kind of object based on NB-IoT topples early warning system
System.
Background technology
In people's daily life and production practices, need to survey the athletic posture of sensitive equipment under many scenes
Amount and early warning, for example：Large board topples, the inclination of the large-scale engineering machineries working arm such as bridge crane, high voltage power transmission
The inclination of iron tower pole, the angle of inclination monitoring in micro- building, elevator run the not normal monitoring of acceleration, critical asset equipment (such as safety cabinet)
Improper mobile monitoring etc..It is required for the spatial movement posture to monitoring object accurately to be measured under above-mentioned occasion,
If more than secure threshold needs and alarm；Or long term monitoring is needed, grasp its motion change trend.The document related to comes
It sees, in the market the existing instrument and equipment that above equipment athletic posture is remotely monitored, but mostly there is prominent with=mono-
The problem of going out is using data transfer means such as GPRS/3G/4G, and 1 power consumption of detector is larger, when can not carry out long using battery powered
Between field post, operation and maintenance cost is larger.Therefore, it is necessary to design a kind of object that can be solved the above problems to topple early warning system
System.
Invention content
The present invention is to carry out to solve the above-mentioned problems, and it is an object of the present invention to provide a kind of object based on NB-IoT topples
Early warning system.
It topples early warning system, has the feature that the present invention provides a kind of object based on NB-IoT, including：It is multiple
Detector has the shell for being fixed on testee, PCB circuit board inside the shell is arranged and is arranged in PCB lines
Observation circuit on the plate of road, observation circuit have be fixed on PCB printed wiring board center be used for real-time perception measured object
MEMS inertial sensor module U2, the ambient enviroment for perceiving testee of the six-freedom degree parameter of the spatial movement of body
The AM2302 ambient temperature and humidities monitoring sensor assembly U4 of humiture parameter, degree of freedom parameter and ambient temperature and humidity ginseng are used for transmission
Several NB-IoT data modules U3 and for carrying out pretreated 32 low work(to degree of freedom parameter and ambient temperature and humidity parameter
Consume STM32F103C microcontrollers U1；Cloud Server, the wide area networking of things being made up of the base stations Wide Area Netweork NB-IoT with detector
Network Communication connects, for receiving pretreated degree of freedom parameter and ambient temperature and humidity parameter and according to pretreated degree of freedom
Parameter and ambient temperature and humidity parameter obtain the inclination angle of testee and the Hazard rank that topples is to be judged, in turn
It issues warning signal；And multiple Forewarning Terminals, it is communicated to connect by Wide Area Netweork and Cloud Server, for receiving early warning letter
Number, wherein 32 low-power consumption STM32F103C microcontrollers U1 have Kalman filter unit and Data Computation Unit, Kalman
Filter unit is used to the six-freedom degree parameter of testee being filtered fusion treatment, by optimal estimation algorithm obtain by
The inclination angle of object is surveyed, Data Computation Unit carries out recursive calculation to six-freedom degree parameter, judges quilt according to calculated value
The Hazard rank that object topples is surveyed, NB-IoT data modules U3 has for setting transmission degree of freedom parameter and environment temperature
The time setting unit of the interval time of humidity parameter, the threshold setting unit for set environment humiture parameter threshold, use
In analysis ambient temperature and humidity parameter data analysis unit and be used for transmission the number of degree of freedom parameter and ambient temperature and humidity parameter
According to transmission unit, threshold setting unit presets an ambient temperature and humidity parameter threshold, is adopted when data analysis unit analyzes
When the ambient temperature and humidity parameter that collection obtains reaches ambient temperature and humidity parameter threshold, time setting unit reduces degree of freedom parameter and ring
Time interval that border humiture parameter uploads improves the frequency acquisition of degree of freedom parameter and ambient temperature and humidity parameter, to pass through
Degree of freedom parameter and ambient temperature and humidity parameter are respectively transmitted to Kalman filter unit and are filtered fusion by data transmission unit
Recursive calculation is carried out with data analysis unit, the Hazard rank for obtaining the inclination angle of testee and toppling then will
Inclination angle and Hazard rank are sent to Cloud Server 2 and are judged, and then issue warning signal.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, six-freedom degree parameter is respectively the acceleration along X-axis, the acceleration along Y-axis, adding along Z axis of testee
Speed, the rotational angle around X-axis, the rotational angle Y around Y-axis and the rotational angle around Z axis.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, the observation circuit also voltage with AMS1117 regulator circuits U5, AMS1117 regulator circuit U5 is 3.3V, for providing work
Power supply.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, PA2/TXD2 the and PA3/RXD2 pins of 32 low-power consumption STM32F103C microcontrollers U1 pass through MEMS inertial sensor module
The reserved debugging interface J2 of U2 is connected on RX the and TX pins of MEMS inertial sensor module U2, for acquiring and handling six
Degree of freedom parameter, PA1/ADC1 pins and the monitoring of AM2302 ambient temperature and humidities of 32 low-power consumption STM32F103C microcontrollers U1 pass
3 pins of sensor module U4 connect, for acquiring and processing environment humiture parameter, 32 low-power consumption STM32F103C microcontrollers
The TXD that the PA10/RXD1 pins of U1 pass through the reserved debugging interface J1 and NB-IoT data modules U3 of NB-IoT data modules U3
Pin connects, be used for transmission that treated six-freedom degree parameter and ambient temperature and humidity parameter.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, VCC pin, GND pin, PA13/SWDIO pins and the PA14/SWCLK of 32 low-power consumption STM32F103C microcontrollers U1
Pin is connect with 4 pins of program download interface P1,3 pins, 2 pins and 1 pin respectively, 32 low-power consumption STM32F103C
The PA9/TXD1 pins of microcontroller U1 are connect with 1 pin of program debugging interface P2.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, PCB printed wiring board edge is provided with the through-hole of multiple diameter 2mm, and through-hole is used in MEMS inertial sensor module U2
When being not at position of centre of gravity, scolding tin is to eliminate the imbalance of PCB circuit board in drop.
In the object provided by the invention based on NB-IoT topples early warning system, it can also have the feature that：Its
In, Forewarning Terminal is computer or mobile phone.
The effect of invention
It is toppled early warning system according to a kind of object based on NB-IoT according to the present invention, because the detector used has
MEMS inertial sensor module U2 can perceive degree of freedom parameter, AM2302 ambient temperature and humidities monitor sensor assembly U4 can
Perceive ambient temperature and humidity parameter, 32 low-power consumption STM32F103C microcontrollers U1 can be to the degree of freedom parameter and environment that perceive
Humiture parameter is pre-processed, so the Hazard rank that the inclination angle of testee can be obtained and toppled, so as to
It is enough to issue warning signal in time.Because the Wide Area Netweork used has when data are transmitted, low in energy consumption, signal covering is wide
The characteristics of, so having preferable commercial promise.Therefore, a kind of object based on NB-IoT of the invention topple early warning system can
To ensure to upload to the validity of the data of Cloud Server, the upload of a large amount of hashes is avoided, power consumption is also reduced, it can
It is worked long hours using battery powered mode.
Description of the drawings
Fig. 1 is that the object based on NB-IoT in the embodiment of the present invention topples the system schematic of early warning system；
Fig. 2 is the internal structure schematic diagram of the detector 1 in the embodiment of the present invention；
Fig. 3 is the observation circuit schematic diagram in the embodiment of the present invention；
Fig. 4 is high in the clouds data receiver software work circle write using VC++2010Socket in the embodiment of the present invention
Face schematic diagram.
Specific implementation mode
In order to which the technological means for making the present invention realize is easy to understand with effect, with reference to embodiments and attached drawing is to this
Invention is specifically addressed.
Embodiment：
Fig. 1 is that the object based on NB-IoT in the embodiment of the present invention topples the system schematic of early warning system.
The early warning system 100 as shown in Figure 1, a kind of object based on NB-IoT of the present embodiment topples, including：Multiple detections
Device 1, Cloud Server 2 and Forewarning Terminal 3.
Fig. 2 is the internal structure schematic diagram of the detector 1 in the embodiment of the present invention, and Fig. 3 is in the embodiment of the present invention
Observation circuit schematic diagram.
As shown in Figures 2 and 3, multiple detectors 1 have the shell for being fixed on testee, are arranged in shell
Interior PCB circuit board 11 and the observation circuit being arranged in PCB circuit board 11, observation circuit, which has, is fixed on PCB tracks
The MEMS inertial sensor of the six-freedom degree parameter of the spatial movement for real-time perception testee of road plate center
Module U2, ambient enviroment humiture parameter for perceiving testee AM2302 ambient temperature and humidities monitor sensor assembly
U4, the NB-IoT data modules U3 for being used for transmission degree of freedom parameter and ambient temperature and humidity parameter and for degree of freedom parameter and
Ambient temperature and humidity parameter carries out pretreated 32 low-power consumption STM32F103C microcontrollers U1.
PCB printed wiring board edge is provided with the through-hole of multiple diameter 2mm, and through-hole is used in MEMS inertial sensor mould
When block U2 is not at position of centre of gravity, scolding tin is to eliminate the imbalance of PCB circuit board 11 in drop.
Observation circuit also has AMS1117 regulator circuit U5, and the voltage of AMS1117 regulator circuits U5 is 3.3V, is used for
Working power is provided.
AMS1117 regulator circuits U5 can be high density lithium battery.
PA2/TXD2 the and PA3/RXD2 pins of 32 low-power consumption STM32F103C microcontrollers U1 pass through MEMS inertia sensings
The reserved debugging interface J2 of device module U2 is connected on RX the and TX pins of MEMS inertial sensor module U2, for acquiring and locating
Manage six-freedom degree parameter.
The PA1/ADC1 pins of 32 low-power consumption STM32F103C microcontrollers U1 are sensed with the monitoring of AM2302 ambient temperature and humidities
3 pins of device module U4 connect, for acquiring and processing environment humiture parameter.
The PA10/RXD1 pins of 32 low-power consumption STM32F103C microcontrollers U1 pass through the reserved of NB-IoT data modules U3
Debugging interface J1 is connect with the TXD pins of NB-IoT data modules U3, be used for transmission that treated six-freedom degree parameter and ring
Border humiture parameter.
VCC pin, GND pin, PA13/SWDIO pins and the PA14/ of 32 low-power consumption STM32F103C microcontrollers U1
SWCLK pins are connect with 4 pins of program download interface P1,3 pins, 2 pins and 1 pin respectively.
The PA9/TXD1 pins of 32 low-power consumption STM32F103C microcontrollers U1 connect with 1 pin of program debugging interface P2
It connects.
32 low-power consumption STM32F103C microcontrollers U1 have Kalman filter unit and Data Computation Unit.
Kalman filter unit is used to the six-freedom degree parameter of testee being filtered fusion treatment, by optimal
Algorithm for estimating obtains the inclination angle of testee.
Data Computation Unit carries out recursive calculation to six-freedom degree parameter, judges testee according to calculated value
The Hazard rank to topple.
NB-IoT data modules U3 has the interval time for setting transmission degree of freedom parameter and ambient temperature and humidity parameter
Time setting unit, for set environment humiture parameter threshold threshold setting unit, for analyze ambient temperature and humidity ginseng
Several data analysis unit and the data transmission unit for being used for transmission degree of freedom parameter and ambient temperature and humidity parameter.
Cloud Server 2 is communicated to connect with detector 1 by the Wide Area Netweork that the base stations Wide Area Netweork NB-IoT 4 are constituted,
For receiving pretreated degree of freedom parameter and ambient temperature and humidity parameter and according to pretreated degree of freedom parameter and environment
Humiture parameter obtains the inclination angle of testee and the Hazard rank that topples is to be judged, and then sends out early warning letter
Number.
Multiple Forewarning Terminals 3 are communicated to connect by Wide Area Netweork and Cloud Server 2, for receiving pre-warning signal.
Forewarning Terminal 3 is computer or mobile phone.
Threshold setting unit presets an ambient temperature and humidity parameter threshold, is acquired when data analysis unit analyzes
To ambient temperature and humidity parameter reach ambient temperature and humidity parameter threshold when, time setting unit reduces degree of freedom parameter and environment temperature
The time interval that humidity parameter uploads improves the frequency acquisition of degree of freedom parameter and ambient temperature and humidity parameter, to passing through data
Degree of freedom parameter and ambient temperature and humidity parameter are respectively transmitted to Kalman filter unit and are filtered fusion sum number by transmission unit
Recursive calculation, the Hazard rank for obtaining the inclination angle of testee and toppling, then by inclination angle are carried out according to analytic unit
It is sent to Cloud Server 2 with Hazard rank to be judged, and then issues warning signal.
Six-freedom degree parameter is respectively the acceleration along X-axis of testee, the acceleration along Y-axis, along Z axis
Acceleration, the rotational angle around X-axis, the rotational angle Y around Y-axis and the rotational angle around Z axis.
Detector 11 is connected automatically to Cloud Server 2 by lightweight application layer protocol CoAP communication protocols, and steps are as follows：
Step 1, each detector 1 is registered first on Cloud Server 2.
Step 1-1 knows the IP address and CoAP port numbers of Cloud Server 2；
Step 1-2, each detector 1 are registered with globally unique ternational Mobile Telecommunications device numbering IMEI number,
IMEI number can be instructed by the AT of NB-IoT data modules U3 and be obtained；
Step 1-3 marks the longitude and latitude of each detector 1 in Baidu map；
Step 1-4 does necessary annotation to each detector 1.
Step 2, data and warning message are uploaded to Cloud Server 2 in accordance with CoAP communication protocols：
Step 2-1, writes the embedded software of data transmission, and downloads to 32 low-power consumption STM32F103C microcontrollers U1
In.
Step 2-2, by the inclination angle of testee and the Hazard rank to topple and temperature-humidity signal with 16 systems
Format is sent to the RXD pins of NB-IoT data modules U3 with the format of data packet,
The specific format of data packet：AT+NMGS=<Len>, <dat>；Wherein, Len is byte number, and dat is 16 system numbers.
Warning message is sent to reception terminal by Cloud Server 2, is included the following steps：
Step 1, it is the PC machine by warning message real time push to multiple networkings that data penetration transmission group is arranged on Cloud Server 2
Or smart mobile phone.Its core is multi-thread data communication mechanism.
Step 2, the cell-phone number for inputting key client carries out alarm signal using the sending short messages in groups function of Cloud Server 2 itself
The push of breath customizes high in the clouds data receiver software for user.
Fig. 4 is the high in the clouds data receiver software work interface write using VC++2010Socket of the embodiment of the present invention
Schematic diagram, wherein IP, Port are respectively the IP address and TCP service port numbers of Cloud Server 2.
As shown in figure 4, brief operation step：
Step 1, the connection of " Link " button realization and Cloud Server 2 is clicked.
Step 2, it clicks " Send " button and sends registration packet.
Step 3, it clicks " Save " button and preserves data.
Step 4, " Draw " button drawing data curve is clicked.
The effect of embodiment
It is toppled early warning system according to a kind of object based on NB-IoT of the present embodiment, because what the detector used had
MEMS inertial sensor module U2 can perceive degree of freedom parameter, and AM2302 ambient temperature and humidities monitoring sensor assembly U4 can feel
Know ambient temperature and humidity parameter, 32 low-power consumption STM32F103C microcontrollers U1 can be to the degree of freedom parameter and environment temperature that perceive
Humidity parameter is pre-processed, so the Hazard rank that the inclination angle of testee can be obtained and toppled, so as to
It issues warning signal in time.Because the Wide Area Netweork used covers wide when data are transmitted with low in energy consumption, signal
Feature, so having preferable commercial promise.Therefore, a kind of object based on NB-IoT of the present embodiment topple early warning system can
To ensure to upload to the validity of the data of Cloud Server, the upload of a large amount of hashes is avoided, power consumption is also reduced, it can
It is worked long hours using battery powered mode.
It is toppled early warning system according to a kind of object based on NB-IoT of the present embodiment, because of the AMS1117 voltage stabilizings used
The voltage of circuit U 5 is 3.3V, so that the operation and maintenance cost of whole system is relatively low.
The above embodiment is the preferred case of the present invention, is not intended to limit protection scope of the present invention.
Claims (7)
- The early warning system 1. a kind of object based on NB-IoT topples, which is characterized in that including：Multiple detectors, have shell for being fixed on testee, the PCB circuit board being arranged in the shell and Observation circuit in the PCB circuit board is set, and the observation circuit, which has, is fixed on the PCB printed wiring board centre bit The MEMS inertial sensor module U2 of the six-freedom degree parameter for the spatial movement for testee described in real-time perception set, The AM2302 ambient temperature and humidities monitoring sensor assembly U4 of ambient enviroment humiture parameter for perceiving the testee, it uses In the NB-IoT data modules U3 for transmitting the degree of freedom parameter and the ambient temperature and humidity parameter and for the freedom It spends parameter and the ambient temperature and humidity parameter carries out pretreated 32 low-power consumption STM32F103C microcontrollers U1；Cloud Server is communicated to connect by the Wide Area Netweork that the base stations Wide Area Netweork NB-IoT are constituted with the detector, is used In the pretreated degree of freedom parameter of reception and the ambient temperature and humidity parameter and according to the pretreated degree of freedom Parameter and the ambient temperature and humidity parameter obtain the inclination angle of the testee and the Hazard rank that topples is to carry out Judge, and then issues warning signal；AndMultiple Forewarning Terminals are communicated to connect by the Wide Area Netweork and the Cloud Server, for receiving the early warning letter Number,Wherein, 32 low-power consumption STM32F103C microcontrollers U1 has Kalman filter unit and Data Computation Unit,The Kalman filter unit is used to the six-freedom degree parameter of the testee being filtered fusion treatment, passes through Optimal estimation algorithm obtains the inclination angle of the testee,The Data Computation Unit carries out recursive calculation to the six-freedom degree parameter, is judged according to calculated value described The Hazard rank that testee topples,The NB-IoT data modules U3 has for set the transmission degree of freedom parameter and the ambient temperature and humidity parameter The time setting unit of interval time, the threshold setting unit for setting the ambient temperature and humidity parameter threshold, for analyzing Described in the data analysis unit of ambient temperature and humidity parameter and be used for transmission the degree of freedom parameter and the ambient temperature and humidity ginseng Several data transmission units,The threshold setting unit presets an ambient temperature and humidity parameter threshold, when the data analysis unit is analyzed When going out the ambient temperature and humidity parameter collected and reaching the ambient temperature and humidity parameter threshold, the time setting unit subtracts The time interval that the small degree of freedom parameter and the ambient temperature and humidity parameter upload improves the degree of freedom parameter and described The frequency acquisition of ambient temperature and humidity parameter, to by the data transmission unit by the degree of freedom parameter and the environment temperature Humidity parameter is respectively transmitted to the Kalman filter unit and is filtered fusion and data analysis unit progress recurrence meter It calculates, the Hazard rank for obtaining the inclination angle of the testee and toppling, then by the inclination angle and the danger Grade is sent to the Cloud Server and is judged, and then issues warning signal.
- The early warning system 2. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, the six-freedom degree parameter is respectively the acceleration along X-axis of the testee, the acceleration along Y-axis Degree, the acceleration along Z axis, the rotational angle around X-axis, around the rotational angle Y of Y-axis and around the rotational angle of Z axis.
- The early warning system 3. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, the observation circuit also has AMS1117 regulator circuit U5,The voltage of the AMS1117 regulator circuits U5 is 3.3V, for providing working power.
- The early warning system 4. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, PA2/TXD2 the and PA3/RXD2 pins of 32 low-power consumption STM32F103C microcontrollers U1 pass through MEMS inertia The reserved debugging interface J2 of sensor assembly U2 is connected on RX the and TX pins of the MEMS inertial sensor module U2, is used for The six-freedom degree parameter is acquired and handles,The PA1/ADC1 pins of 32 low-power consumption STM32F103C microcontrollers U1 are monitored with the AM2302 ambient temperature and humidities 3 pins of sensor assembly U4 connect, for acquiring and handling the ambient temperature and humidity parameter,The PA10/RXD1 pins of 32 low-power consumption STM32F103C microcontrollers U1 pass through the NB-IoT data modules U3's Reserved debugging interface J1 is connect with the TXD pins of the NB-IoT data modules U3, be used for transmission that treated described six oneself By degree parameter and the ambient temperature and humidity parameter.
- The early warning system 5. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, the VCC pin of 32 low-power consumption STM32F103C microcontrollers U1, GND pin, PA13/SWDIO pins and PA14/SWCLK pins are connect with 4 pins of program download interface P1,3 pins, 2 pins and 1 pin respectively,The PA9/TXD1 pins of 32 low-power consumption STM32F103C microcontrollers U1 connect with 1 pin of program debugging interface P2 It connects.
- The early warning system 6. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, PCB printed wiring board edge is provided with the through-hole of multiple diameter 2mm, and the through-hole is used for described When MEMS inertial sensor module U2 is not at position of centre of gravity, scolding tin is to eliminate the imbalance of the PCB circuit board in drop.
- The early warning system 7. object according to claim 1 based on NB-IoT topples, it is characterised in that：Wherein, the Forewarning Terminal is computer or mobile phone.
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| CN111664835A (en) * | 2020-01-09 | 2020-09-15 | 中国南方电网有限责任公司超高压输电公司广州局 | Low-power-consumption automatic lifter state monitor for high-altitude operation |
| CN112173997A (en) * | 2020-09-30 | 2021-01-05 | 江苏宏昌天马物流装备有限公司 | Intelligent folding arm crane safety early warning and control system and method based on cloud side end data fusion |
| CN113823069A (en) * | 2021-09-23 | 2021-12-21 | 浙江交工金筑交通建设有限公司 | Be used for continuous case roof beam of variable cross section to prevent toppling construction monitoring early warning system |
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