CN204667596U - A kind of multiple component detection integration source of early warning - Google Patents
A kind of multiple component detection integration source of early warning Download PDFInfo
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Abstract
The utility model proposes a kind of multiple component detection integration source of early warning, comprise: many key elements harvester and monitoring and warning device, many key elements harvester is positioned at outdoor, comprising: control box and be positioned at the solar panel of control box side, image capture module and the rain collection module be positioned at above control box, water level acquisition module and the first communication module, the second communication module that with GSM/GPRS public network be connected that are connected wireless with monitoring alarm; Monitoring and warning device are positioned at indoor, comprising: third communication module, the threshold value of warning analysis module be connected with third communication module, the alarm module be connected with threshold value of warning analysis module and display module.The utility model, with the collection of many key elements and integrated early warning, increases reliability and the promptness of early warning, by the external multiple intelligent instrument of RS485/RS232 standard industry interface in order to solve the application of the monitoring and warning one under various environment.
Description
Technical field
The utility model relates to rainfall monitoring and early warning technology field, particularly a kind of multiple component detection integration source of early warning.
Background technology
Present stage mountain flood prevention construction non-engineering measure source of early warning is divided into mass presdiction and disaster prevention monitoring equipment and mass presdiction and disaster prevention source of early warning two parts.Have Information Monitoring not comprehensively, the condition of a disaster transmission not in time, website duplicate construction, the problem such as operating cost is high, maintenance requirement is high.The utility model, with the collection of many key elements and integrated early warning, increases reliability and the promptness of early warning.By the application of the external multiple intelligent instrument of standard industry interface in order to the monitoring and warning one of (various early-warning conditions) under solving various environment.
Mountain flood prevention build in rainfall monitoring warning service, wireless alarming broadcasting station, image/video monitoring station, have Information Monitoring not comprehensively, the condition of a disaster transmission not in time, website duplicate construction, the defect such as operating cost is high, maintenance requirement is high.
Utility model content
The purpose of this utility model is intended at least solve one of described technological deficiency.
For this reason, the purpose of this utility model is to propose a kind of multiple component detection integration source of early warning.
To achieve these goals, embodiment of the present utility model provides a kind of multiple component detection integration source of early warning, comprise: many key elements harvester and multiple monitoring and warning device, wherein, described many key elements harvester is positioned at outdoor, comprise: control box and be positioned at the solar panel of described control box side, image capture module, be positioned at the rain collection module above described control box, water level acquisition module and the first communication module that be connected wireless with monitoring alarm, the second communication module be connected with GSM/GPRS public network with described first communication module, wherein, described first communication module is installed in described control box, described first communication module is connected with water level acquisition module with described rain collection module respectively, described solar panel respectively with described rain collection module, water level acquisition module is connected to power with first communication module, each described monitoring and warning device are positioned at indoor, and each described monitoring and warning device are connected with described many key elements harvester respectively, comprise: the third communication module that be connected wireless with described first communication module, the threshold value of warning analysis module be connected with described third communication module, the alarm module be connected with described threshold value of warning analysis module and display module.
Wherein, described water level acquisition module comprises: multichannel contact level sensor interface, RS232 water level interface, wireless water level collector interface.
Wherein, described many key elements acquisition means also comprises: be positioned at the water-proof CCD camera bottom described control box, illumination detection module, PM2.5 detection module, the integrated detection module of environmental data and supply module, described supply module adopts redundant power supply design, comprising: based on the solar powered unit of peak power electric tracing MPPT, storage battery power supply unit and mains-supplied unit.
Wherein, described first communication module comprises: GFSK modulation communication transmitting element, 2-GFSK modulation communication unit, MSK modulation communication unit, FSK modulation communication unit or ASK modulation communication unit;
Described second communication module comprises: GSM/GPRS communication unit;
Described third communication module comprises: GFSK modulation communication receiving element.
Wherein, also comprise: pedestal and vertical rod, wherein, described vertical rod is installed on described pedestal, is provided with control box in the upper end of described vertical rod.
Wherein, the shape of described vertical rod is linear or shaped form.
Wherein, described alarm module is water-proof loudspeaker, is installed on the side of described vertical rod.
Wherein, described monitoring and warning device also comprise: the near-field communication NFC module be connected with described threshold value of warning analysis module and WIFI module, and the bluetooth module be connected with described alarm module, the USB serial ports be arranged on described control box.
Wherein, described display module adopts charactron and LCDs LED.
Wherein, described monitoring and warning device adopt the electronics formula of erasing to make carbon copies ROM (read-only memory) EEPROM.
According to the multiple component detection integration source of early warning of the utility model embodiment, with the collection of many key elements and integrated early warning, increase reliability and the promptness of early warning.By the application of the external multiple intelligent instrument of standard industry interface in order to the monitoring and warning one of (various early-warning conditions) under solving various environment.
The aspect that the utility model is additional and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present utility model.
Accompanying drawing explanation
Above-mentioned and/or additional aspect of the present utility model and advantage will become obvious and easy understand from accompanying drawing below combining to the description of embodiment, wherein:
Fig. 1 is the structured flowchart of the multiple component detection integration source of early warning according to the utility model embodiment;
Fig. 2 is the structured flowchart of the many key elements harvester according to the utility model embodiment;
Fig. 3 (a) and Fig. 3 (b) are respectively front view according to many key elements harvester of the utility model embodiment and vertical view;
Fig. 4 is the device initialize process flow diagram according to the utility model embodiment;
Fig. 5 is the workflow diagram of the rain collection module according to the utility model embodiment;
Fig. 6 is the schematic diagram of the GFSK communication modulation chip of first communication module according to the utility model embodiment;
Fig. 7 is the rainfall warning function processing flow chart according to the utility model embodiment;
Fig. 8 is the GPSR communication flow diagram according to the utility model embodiment;
Fig. 9 is the communication abnormality monitoring process flow diagram according to the utility model embodiment;
Figure 10 is the communication flow diagram of GPSR module according to the utility model embodiment and mobile terminal;
Figure 11 is the schematic diagram of the solar powered unit based on MPPT according to the utility model embodiment;
Figure 12 is the equipment condition monitoring process flow diagram according to the utility model embodiment;
Figure 13 is the structured flowchart of monitoring according to the utility model embodiment and warning device;
Figure 14 is the schematic diagram of the NFC module according to the utility model embodiment;
Figure 15 is the schematic diagram of the WIFI module according to the utility model embodiment;
Figure 16 is the schematic diagram of the bluetooth module according to the utility model embodiment;
Figure 17 is the display screen schematic diagram entering house type monitoring and warning device according to the utility model embodiment;
Figure 18 is the display screen schematic diagram according to the monitoring of the township level of the utility model embodiment and warning device;
Figure 19 is the display screen schematic diagram of monitoring at county level according to the utility model embodiment and warning device;
Figure 20 is the rainfall alert detecting process flow diagram of monitoring according to the utility model embodiment and warning device;
Figure 21 is the rainfall alert detecting process flow diagram of monitoring according to another embodiment of the utility model and warning device;
Figure 22 is the process flow diagram arranging warning level according to the Monitoring Data in conjunction with upstream and downstream equipment of the utility model embodiment;
Figure 23 is the process flow diagram of the rainfall critical section domain method according to the utility model embodiment;
Figure 24 is the process flow diagram of the multiple component detection integration method for early warning according to the utility model embodiment.
Embodiment
Be described below in detail embodiment of the present utility model, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the utility model, and can not be interpreted as restriction of the present utility model.
Be described below in detail embodiment of the present utility model, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the utility model, and can not be interpreted as restriction of the present utility model.
Fig. 1 is the structured flowchart of the multiple component detection integration source of early warning according to the utility model embodiment.
As shown in Figure 1, the multiple component detection of the utility model embodiment integration source of early warning, comprising: many key elements harvester 1 and multiple monitoring and warning device 2.
Fig. 2 is the structured flowchart of the many key elements harvester according to the utility model embodiment.
As shown in Figure 2, described many key elements harvester 1 is positioned at outdoor, for gathering the various environmental parameters under current environment.Wherein, described many key elements harvester 1 comprises: rain collection module 11, water level acquisition module 12, clock module 13, first communication module 14, second communication module 26 and supply module 15.
With reference to figure 3 (a) and (b), many key elements harvester 1 is positioned at outdoor, comprising: control box 112 and be positioned at described control box 112 side solar panel 15, be positioned at rain collection module 11 above described control box, water level acquisition module 12, the first communication module 14, the second communication module 26 that with first communication module 14 with GSM/GPRS public network be connected that are connected wireless with monitoring alarm 2.Wherein, first communication module 14 is installed in control box, first communication module 14 is connected with water level acquisition module 12 with rain collection module 11 respectively, and solar panel 15 is connected to power with first communication module 14 with rain collection module 11, water level acquisition module 12 respectively.
Rain collection module 11 is for gathering the rainfall data in current environment.Wherein, rain collection module 11 adopts single spring tipping bucket type rain collection mode.
Further, the vertical rod 111 that many key elements harvester 1 comprises pedestal 110 further and is installed on described pedestal 110, wherein, at the installation control box 112 of vertical rod 111 upper end.Preferably, the shape of vertical rod 111 can be linear pattern or shaped form.
Fig. 4 is the device initialize process flow diagram according to the utility model embodiment.
Step S401, starts.
Step S402, system clock initialization.
Step S403, serial ports initialization.
Step S404, EEPROM initialization.
Step S405, radio-frequency module initialization.
Step S406, mobile module initialization.
Step S407, timer initialization.
Step S408, initialization terminates.
Fig. 5 is the workflow diagram of the rain collection module according to the utility model embodiment.
Step S501, rainfall causes the tipping bucket of rain collection module to overturn.
Step S502 and step S503, produces pulse signal.
Whether step S504 is clutter, if so, then performs step S505, otherwise performs step S506.
Step S505, exits interrupt function.
Step S506, rainfall counts.
Step S507, is sent rainfall value by RF.
Water level acquisition module 12 gathers and continuous acquisition for carrying out fixed point to the waterlevel data in current environment.Wherein, water level acquisition module 12 comprises: multichannel contact level sensor interface, RS232 water level interface, wireless water level collector interface.Wherein, multichannel contact level sensor is used for carrying out fixed point collection to the waterlevel data in current environment.Such as, 3 tunnel contact level sensor level gather.
RS232 water-level gauge is used for carrying out continuous acquisition to the waterlevel data in current environment, wherein, and reserved road RS232 (COM2) communication interface, the collection water-level gauge of easily extensible 232 interface type.
Wireless water level collector interface, for wirelessly gathering waterlevel data.
Further, many key elements harvester 1 also comprises: the integrated detection module 19 of image capture module 16, illumination detection module 17, PM2.5 detection module 18 and environmental data.Wherein, image capture module 16 is for gathering the view data of the external environment condition in current environment.Reserved road RS485 (COM1) communication interface, easily extensible serial ports camera realizes image acquisition
Illumination detection module 17 is for detecting the intensity of illumination in current environment.PM2.5 detection module 18 is for detecting the PM2.5 intensity in current environment.The integrated detection module 19 of environmental data is for detecting temperature, humidity, the wind speed and direction in current environment.
Clock module 13 is for adding up rainfall duration, and local RTC is for judging rainfall duration.
First communication module 14 is connected with clock module 13 with rain collection module 11, water level acquisition module 12 respectively, for receiving rainfall data, waterlevel data and rainfall duration, and send rainfall data, waterlevel data and rainfall duration in GFSK modulation communication mode to monitoring and warning device 1.Second communication module 26 receives rainfall data, waterlevel data and the rainfall duration that first communication module 14 sends, and this rainfall data, waterlevel data and rainfall duration are sent rainfall data, waterlevel data and rainfall duration by GSM/GPRS communication mode to mobile terminal monitors in real time for user.
Supply module 15 is for powering to rain collection module 11, water level acquisition module 12, clock module 13, first communication module 14 and second communication module 26.
Particularly, supply module 15 adopts redundant power supply to design, and comprising: based on the solar powered unit of peak power electric tracing MPPT, storage battery power supply unit and mains-supplied unit.Adopt non-maintaining solar powered, comprise and adopt 6V/10Ah high-capacity lead-acid battery and the charging of 18V/5W solar panel.
Based on MPPT maximum power point tracking (MPPT) solar storage battery charging technique;
With reference to Figure 11, MPPT controller major function: detect major loop DC voltage and output current, calculate the output power of solar array, and realize the tracking to maximum power point.Disturbance resistance R and MOSFET is chained together, and under the condition that output voltage is basicly stable, by changing the dutycycle of MOSFET, changing the average current by resistance, therefore creating the disturbance of electric current.Simultaneously, the output current voltage of photovoltaic cell also will change thereupon, by measuring the change of the output power from photovoltaic cells and voltage before and after disturbance, to determine the perturbation direction in next cycle, when perturbation direction is correct, sun power light energy board output power increases, and the lower cycle will continue disturbance in the same direction, otherwise, disturbance in the opposite direction, so, repeatedly carrying out disturbance with observing makes solar opto-electronic board export to reach maximum power point.
Traditional MPPT method is divided into Open loop and closed loop MPPT method according to the difference of determination methods and criterion.In fact, the impact of change on photovoltaic cell output characteristic of ambient temperature, illumination and load presents some basic rules, approximate linear relationship is there is between the maximum power point voltage of such as photovoltaic cell and the open-circuit voltage of photovoltaic cell, based on these rules, the MPPT control method of some open loops can be proposed, as determined voltage-tracing method, short-circuit current ratio Y-factor method Y and interpolation calculation method etc.
Namely closed loop MPPT method, then by realizing MPPT to the real-time measurement of photovoltaic cell output voltage and current value and closed-loop control, most popularly belongs to this class from optimizing class algorithm.Typically thanks for your hospitality dynamic observation (Perturbation and Observation Method, P & O) and conductance increment method (Incremental Conductance, INC) two kinds from optimizing MPPT algorithm.
First communication module 14 comprises: GFSK modulation communication transmitting element, 2-GFSK modulation communication unit, MSK modulation communication unit, FSK modulation communication unit or ASK modulation communication unit.Wherein, GFSK modulation communication transmitting element is based on the 433MHz wireless transmission of GFSK modulation-demodulation technique.
Second communication module 26 comprises GSM/GPRS communication unit, for communicating with the GSM/GPRS public network of outside.GSM is mainly used in voice transfer, and GPRS is mainly used in data transmission.
With reference to figure 6, the frequency of operation of data transmission module is 433MHz, and frequency stability is high, and when environment temperature changes between-25 ~ 85 degree, frequency deviation is only 3ppm/ DEG C (3/1000000ths every degree Celsius).Better, difference variation and vibration frequency also can not offset for frequency stability and consistance.
Data module adopts GFSK mode to modulate, and to reduce power consumption, when data-signal stops, transmitter current reduces to zero, and data-signal can or directly be connected with resistance and can not use capacitive coupling with transmitter module input end, otherwise transmitter module is by cisco unity malfunction.Data level should close to the real work voltage of data module, to obtain higher modulation effect.
The transmission range of module and frequency modulating signal and amplitude, emitting voltage and battery capacity, emitting antenna, the sensitivity of receiver, transmitting-receiving environment is relevant.General open area maximum launch range about 800 meters, when there being obstacle, distance can shorten, and because the refraction in radio signal transmission process and reflection can form some dead bands and unstable region, different transmitting-receiving environment has different reception and transmission ranges.
Fig. 7 is the rainfall warning function processing flow chart according to the utility model embodiment.
Step S701, judges whether to enter low-power consumption mode, if otherwise perform step S702, otherwise perform step S703.
Step S702, holding state.
Step S703, judges whether to perform RunStatus & Mge_Status, if so, then performs step S704, otherwise perform step S705.
Step S704, note process function.
Step S705, judges whether to perform RunStatus & RF_Status, if so, then performs step S706, otherwise perform step S707.
Step S706, rainfall data process function.
Step S707, judges whether to perform RunStatus & GPRS_Status, if so, then performs step S708, otherwise perform step S709.
Step S708, GPRS process function.
Step S709, judges whether to perform RunStatus & Uart_Status, if so, then performs step S710, otherwise perform step S711.
Step S710, serial data process function.
Step S711, judges whether to perform RunStatus & Exeption_Status, if so, then performs step S712, otherwise perform step S713.
Step S712, abnormality processing function.
Step S713, judges whether to perform RunStatus & Heart_Status, if so, then performs step S714, otherwise perform step S715.
Step S714, heartbeat frame.
Step S715, judges whether to perform RunStatus & Alarm_Status, if so, then performs step S716.
Step S716, produces and reports to the police.
Fig. 8 is the GPSR communication flow diagram according to the utility model embodiment.
Step S801, receives GPRS data.
Step S802, judges that whether data are legal, if so, then performs step S804, otherwise performs step S803.
Step S803, exits, and enters low-power consumption mode.
Step S804, performs switch function.
Step S805, arranges number operation.
Step S806, deletes number operation.
Step S807, enquiry number operates.
Step S808, inquiry operating mode.
Step S809, arranges alarm threshold.
Step S810, functions of the equipments control.
Step S811, equipment set of time.
Step S812, eartbeat interval is arranged.
Step S813, factory reset.
Fig. 9 is the communication abnormality monitoring process flow diagram according to the utility model embodiment.
Step S901, arrives timing.
Step S902, judges that whether mobile module is normal, if so, then performs step S904, otherwise perform step S903.
Step S903, restarts mobile module.
Step S904, judges that whether power supply is normal, if so, then performs step S906, otherwise perform step S905.
Step S905, information of giving notice.
Step S906, judges that whether radio communication is normal, if so, then performs step S908, otherwise perform step S907.
Step S907, information of giving notice.
Step S908, gets back to low-power consumption mode.
Figure 10 is the communication flow diagram of GPSR module according to the utility model embodiment and mobile terminal;
Step S1001, reaches alarm conditions.
Step S1002, judges whether to be provided with management number, if so, then performs step S1003, otherwise performs step S1004.
Step S1003, sends note.
Step S1004, judges whether to be provided with platform number, if so, then performs step S1005, otherwise performs step S1006.
Step S1005, sends note.
Step S1006, sends alerting signal to GPRS platform.
Step S1007 is can alarm device synchronized transmission alerting signal.
Figure 12 is the equipment condition monitoring process flow diagram according to the utility model embodiment, realizes the monitoring of the duty to each equipment.
Step S1201, arrives timing.
Step S1202, obtains equipment running status information.
Step S1203, transmitting apparatus running state information.
As shown in figure 13, each monitoring and warning device 2 are connected with many key elements harvester 1 respectively, for judging corresponding rainfall type of alarm according to rainfall data, waterlevel data and rainfall duration, and send alerting signal.
Particularly, monitoring and warning device 2 comprise: third communication module 21, threshold value of warning analysis module 22, alarm module 23 and display module 24.Alarm module 23 is water-proof loudspeaker, is installed on the side of vertical rod 111.Display module 25 adopts charactron or LCDs LED.
Third communication module 21 is connected with the communication module of first communication module 14, upstream equipment and the communication module of upstream device, for receiving the described rainfall data of the current device from first communication module 14, waterlevel data and rainfall duration and stating rainfall data and the waterlevel data of upstream equipment and upstream device.Wherein, third communication module 21 comprises GFSK modulation communication receiving element.
Threshold value of warning analysis module 22 is for obtaining play rainfall amount and hourly precipitation amount according to rainfall data, waterlevel data and the analysis of rainfall duration, compare according to play rainfall amount and hourly precipitation amount and multiple default rainfall type of alarm, obtain the rainfall type of alarm of current correspondence.
Particularly, threshold value of warning analysis module 22 pairs of play rainfall amounts and hourly precipitation amount are carried out comprehensive analysis and are generated rainfall integrated data, by rainfall integrated data with compare with the first to third level rainfall type of alarm successively, wherein, severity level corresponding to the first to third level rainfall type of alarm reduces successively, and every grade of rainfall type of alarm comprises multiple period alarm threshold value.Such as, the first to third level rainfall type of alarm is followed successively by red alarm, orange warning, yellow alarm.
Threshold value of warning analysis module 22 by rainfall integrated data successively with each preset period of time alarm threshold value comparison in the first to third level rainfall type of alarm, when meeting one of them preset period of time alarm threshold value, then judge the rainfall type of alarm of the type of alarm of current correspondence belonging to this preset period of time alarm threshold value.
When judging that the type of alarm of current correspondence is first order rainfall type of alarm, threshold value of warning analysis module carries out a monitoring, alarming action every the first preset duration;
When judging that the type of alarm of current correspondence is second level rainfall type of alarm, threshold value of warning analysis module carries out a monitoring, alarming action every the second preset duration;
When judging that the type of alarm of current correspondence is third level rainfall type of alarm, threshold value of warning analysis module carries out a monitoring, alarming action every the 3rd preset duration;
Wherein, the time span of the first to the 3rd preset duration increases successively.Such as, the first to the 3rd preset duration be followed successively by 10 minutes, 20 minutes, 30 minutes.
Threshold value of warning analysis module 22 is after the rainfall type of alarm obtaining current correspondence, and the rainfall data arrived according to real-time reception further and waterlevel data, judge whether to rise,
If judge to rise, then raise the rainfall type of alarm of a rank, retime, detect current level;
If judge water-break occurs, then lower the rainfall type of alarm of a rank, retime, detect current level;
If judge that water level is constant, then keep current rainfall type of alarm, retime, detect current level.
Alarm module 23, for the rainfall type of alarm according to current correspondence, outwardly sends alerting signal with audio broadcasting and/or buzzing form.
Display module 24, for showing rainfall data, advanced warning grade, Gregorian calendar date, lunar date and current time, is checked for user and monitors.Further, comprise pilot lamp, carry out preparation transfer, transfer immediately, electricity, communications status instruction.
Further, monitoring and warning device 2 also comprise: near-field communication NFC module, WIFI module and/or bluetooth module.Wherein, near-field communication NFC module is connected with threshold value of warning analysis module 22, for sending rainfall data, waterlevel data and rainfall duration, rainfall type of alarm to the mobile terminal with NFC function, check for user and monitor, support near-field communication, can with crossing near field induction configuration device parameter.
As shown in figure 14, based on the RFID parameter configuring technical near field induction (NFC);
The signal intensity from answering machine, ambient signals source or inner level received can be obtained by RSSI register.Receiver exports and can select between a digitizing subcarrier signal and arbitrary integrated-type subcarrier demoder.Data bit flow and data clock send as output by selected subcarrier demoder.
As shown in figure 15, WIFI module is connected with threshold value of warning analysis module 22, for sending rainfall data, waterlevel data, rainfall duration and rainfall type of alarm to mobile terminal, checking and monitor for user.
Based on the WIFI networking technology of IEEE 802.11n agreement;
Adopt WiLink8 module to have power-optimized designs, can provide high data throughput and spreading range, this device, through FCC, IC, ETSI/CE and TELEC certification, is applicable to access point (AP) (supporting DFS) and client.
As shown in figure 16, bluetooth module is connected with alarm module 23, for alerting signal being play with ANTENN AUDIO form, supporting IEEE 802.11n agreement, being connected to data center, uploading real-time rainfall data by WIFI network.
In an embodiment of the present utility model, monitoring and warning device 2 adopt the electronics formula of erasing to make carbon copies ROM (read-only memory) EEPROM.Particularly, adopt serial CMOS EEPROM device, storage inside is 2M.Its feature is the page write impact damper containing 64 bytes, and supports serial peripheral interface (SPI) agreement.This device comes enable by sheet choosing (CS) input.In addition, the bus signals of request is clock input (SCK) respectively, data input (SI) and DOL Data Output Line (SO).HOLD inputs any serial operation that can be used for stopping CAT25128 device.The feature of this device has software and hardware write-protect, comprises the write-protect of local/whole array.Can store and be greater than 36 months rainfall datas and nearest 60 history alarm loggings.
Below with reference to Figure 17 to Figure 19, the display screen of display module is described.It should be noted that, because key element harvester 1 more than can corresponding multiple monitoring and warning device 2, the user type of each monitoring and warning device 2 and the demand difference of correspondence.Such as: when user is ruck, its information be concerned about comprises early warning information and time-temperature etc.; When user is small towns flood control person liable, its information be concerned about comprises alarm threshold information and multiple rainfall statistics etc.; When user is flood prevention management department of county, its information be concerned about to comprise in administrative area early warning information commanding and decision-making etc.Further, according to the difference of user type, the content on the display screen of display module 24 is also different.
Figure 17 is the display screen schematic diagram entering house type monitoring and warning device according to the utility model embodiment.
When monitoring and warning device 2 is reported to the police for the flood control in average family region, display module 24 shows following information: today rainfall amount, advanced warning grade, the Gregorian calendar date, lunar date, current time and indoor temperature.
Figure 18 is the display screen schematic diagram according to the monitoring of the township level of the utility model embodiment and warning device.
When monitor and warning device 2 in township mining flood control report to the police time, display module 24 shows following information: today rainfall amount, this month rainfall amount, play rainfall amount, annual rainfall amount, advanced warning grade, threshold value of warning, the Gregorian calendar date, lunar date, current time.
Figure 19 is the display screen schematic diagram of monitoring at county level according to the utility model embodiment and warning device.
When monitoring and warning device 2 is reported to the police for the flood control in County Level Regional, display module 24 shows following information: the rainfall amount in each township, advanced warning grade, Gregorian calendar date, lunar date, current time.
Figure 20 shows the rainfall alert detecting flow process of monitoring according to the utility model embodiment and warning device.
Step S1801, receives rainfall data.
Step S1802, judges whether the mark of warning red, if so, then performs step S1803, otherwise performs step S1804.
Step S1803, judges to produce type of alarm.
Step S1804, judges whether satisfied 1 hours warning red, if so, then performs step S1805, otherwise performs step S1806.
Step S1805, red alarm flag set.
Step S1806, judges whether satisfied 3 hours warning reds, if so, then performs step S1805, otherwise performs step S1807.
Step S1807, judges whether satisfied 6 hours warning reds, if so, then performs step S1805, otherwise performs step S1808.
Step S1808, judges whether satisfied 12 hours warning reds, if so, then performs step S1805, otherwise performs step S1809.
Step S1809, judges whether satisfied 24 hours warning reds, if so, then performs step S1805, otherwise performs step S1810.
Step S1810, has judged whether redness or Amber Alert mark, if so, then performs step S1803, otherwise performs step S1811.
Step S1811, judges whether satisfied 1 hours Amber Alert, if so, then performs step S1812, otherwise performs step S1813.
Step S1812, orange warning mark set.
Step S1813, judges whether satisfied 3 hours Amber Alert, if so, then performs step S1812, otherwise performs step S1814.
Step S1814, judges whether satisfied 6 hours Amber Alert, if so, then performs step S1812, otherwise performs step S1815.
Step S1815, judges whether satisfied 12 hours Amber Alert, if so, then performs step S1812, otherwise performs step S1816.
Step S1816, judges whether satisfied 24 hours Amber Alert, if so, then performs step S1812, otherwise performs step S1817.
Step S1817, has judged whether redness, orange or warning yellow mark, if so, then performs step S1803, otherwise performs step S1818.
Step S1818, judges whether satisfied 1 hours yellow alarm, if so, then performs step S1819, otherwise performs step S1820.
Step S1819, yellow alarm flag set.
Step S1820, judges whether satisfied 3 hours yellow alarm, if so, then performs step S1819, otherwise performs step S1821.
Step S1821, judges whether satisfied 6 hours yellow alarm, if so, then performs step S1819, otherwise performs step S1822.
Step S1822, judges whether satisfied 12 hours yellow alarm, if so, then performs step S1819, otherwise performs step S1823.
Step S1823, judges whether satisfied 24 hours yellow alarm, if so, then performs step S1819, otherwise performs step S1803.
Step S1824, produces yellow early warning.
Step S1825, produces orange early warning.
Step S1826, produces red early warning.
Step S1827, does not have early warning.
Step S1828, rainfall alarm decision completes.
Figure 21 shows the rainfall alert detecting flow process of monitoring according to another embodiment of the utility model and warning device.
Step S1901, starts water level detecting, and powers.
Step S1902, judges detection mode.
Step S1903, start direct-detection, performs step S1905 in 5 seconds afterwards.
Step S1904, timing detects, and performs step S1905 after 1 ~ 10 minute.
Step S1905, water-level probe sensed water level.
Step S1906, has judged whether water, if there is water, then performs step S1906, otherwise performs step S1904.
Step S1907, judges water level rank, if the first probe detects water level, then performs step S1908, if the second probe detects water level, then perform step S1909, fruit is that the 3rd probe detects water level, then perform step S1910.
Step S1908, sends one-level yellow alarm, every 30 minutes detection alarm once.
Step S1909, sends the orange warning of secondary, every 20 minutes detection alarm once.
Step S1910, sends three grades of red alarm, every 10 minutes detection alarm once.
Step S1911, water-level probe sensed water level.
Step S1912, judges whether to rise, if risen, then performs step S1913, if water-break, then performs step S1914, if constant, then performs step S1915.
Step S1913, according to the other detection alarm of upper level, retimes.
Step S1914, according to next rank detection alarm, retimes.
Step S1915, according to simple other detection alarm, retimes.
Step S1916, sensed water level, returns step S1906.
Threshold value of warning analysis module 22 is also for according to the rainfall data of upstream equipment and upstream device and waterlevel data, judge whether the water level of current device changes every prefixed time interval, if the water level of current device changes, then further according to rainfall data and the waterlevel data of upstream equipment and upstream device, judge the SEA LEVEL VARIATION of upstream equipment and upstream device; If upstream equipment and the equal water-break of upstream device, then current device issues security message; If upstream equipment rises and upstream device water-break, then current device issues the flood warning information of highest level; If upstream equipment and upstream device all rise, then current device issues the flood warning information of appropriate level according to current level height.
The utility model further provides critical groundwater table index analysis, and wherein critical groundwater table index comprises alertness index, prepares transfer index and shift index immediately.
Alertness index: alertness early warning water level, upstream and downstream correlationship (Flood Peak Attenuation, flood transmission time)
Prepare transfer index: alertness early warning water level, upstream and downstream correlationship (Flood Peak Attenuation, flood transmission time)
Urgent early warning water level, upstream and downstream correlationship (Flood Peak Attenuation, flood transmission time)
Particularly, the utility model can be applied to mass presdiction and disaster prevention, and along the river, upstream and downstream sets up multiple website, can realize group-net communication between website, by getting in touch with the different early warning information of level of tail water lifting (rising or water-break) state publications.Carry out under current device holding state that water level detection on duty (5min timing detect, to reduce stand-by power consumption) is on duty detects that water level is not elevated, continue detecting pattern on duty.If detect, water level is in flood stage or has fluctuation in stage, will judge to associate situation with upstream and downstream site communication.If rise in upstream, downstream water-break, is judged as that small stream river will have larger mountain torrents to occur because of mountain torrents cutout, issues red alert to relevant range.Upstream and downstream is rises, and issues yellow warning, the orange alert, red alert according to height of water level.Upstream and downstream is water-break, issues take care or safety report according to current level height.
Figure 22 is the process flow diagram arranging warning level according to the Monitoring Data in conjunction with upstream and downstream equipment of the utility model embodiment.
Step S2201, current device (equipment 2) received the Monitoring Data from upstream equipment (equipment 3) and upstream device (equipment 1) every 5 minutes.
Step S2202, every the SEA LEVEL VARIATION of monitoring in 5 minutes current device, upstream equipment and a upstream device.
Step S2203, judges that current device is with or without SEA LEVEL VARIATION, if had, then performs step S2204, otherwise performs step S2202.
Step S2204, if upstream equipment and the equal water-break of upstream device, then performs step S2205, otherwise performs step S2206.
Step S2205, current device issues/safety report of taking care.
Step S2206, if upstream device water-break, upstream equipment rise, then performs step S2207, otherwise performs step S2208.
Step S2207, current device issues red early warning.
Step S2208, if upstream device and upstream equipment all rise, then performs step S2209, otherwise returns step S2202.
Step S2209, judges the actual water level that current device is monitored.
Monitoring and warning device are also for adding up rainfall and rainfall intensity PI, rainfall intensity and effective cumulative precipitation relation RTI according to the period of statistics current region, according to calculating above-mentioned three groups of data, Critical Rainfall index is set, further the current rainfall data, waterlevel data and the rainfall duration that collect and Critical Rainfall index are compared, current rainfall grade is set, wherein, described Critical Rainfall index comprises: alertness index, preparation shift index and shift index immediately
Wherein, RTI=PI × R, R=R
0+ P
a,
R is effective cumulative precipitation, R
0for play cumulative precipitation, P
afor prophase programming sum.
Figure 23 is the process flow diagram of the rainfall critical section domain method according to the utility model embodiment.
Above-mentioned rainfall critical section domain method can be carried out according to calibration thinking and mentality of designing, if have supporting large sample rainfall data of actual mountain flood time, calibration analytical mathematics then can be adopted to analyze, calculated by rainfall intensity statistics, prophase programming, rainfall drives index calculate, critical section is determined, Threshold Analysis etc. analyzes calculation procedure, obtain rainfall critical zone, and then obtain warning index.
Step S2311, statistics rainfall intensity.
First, statistical time range adds up rainfall (Rat).Particularly, the period cumulative precipitation of the flat point bar of following typical period of time and flat river shoal water level/flow correspondence design rainfall is provided:
To conflux duration-all basins:
Between (1) 3 hour-Liu territory Mian Ji≤50km;
(2) 6 hours-drainage area is between 50-100km;
(3) 12 hours-drainage area is between 100-200km;
(4) 24 hours-Liu territory Mian Ji≤200km.
For a strip of land between hills station, mausoleum, Wanyuan City on the 4th July in 2012 rainfall amount statistics, as shown in table 1:
| Time (h) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| Rainfall amount (mm) | 0 | 13.6 | 10.7 | 14.9 | 26.8 | 16.2 | 13.8 | 9.7 | 2.9 | 7 | 10.5 | 5.7 |
| Time (h) | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| Rainfall amount (mm) | 23.5 | 2.4 | 4.7 | 9.9 | 11.7 | 8.1 | 11.5 | 10.6 | 6.2 | 6.6 | 3.6 | 6.6 |
Table 1
Then, statistics rainfall intensity (PI), specific as follows: short-duration rainstorm causes the important rainfall information that Freshets roar down from the mountains, to need to add up in actual mountain flood event 0.5 hour, 1 hour and flood peak such as to last at the rainfall intensity of typical period of time for this reason.
Flood peak lasts rainfall intensity-all basins:
(1) rainfall intensity intensity-Liu half an hour territory Mian Ji≤100km;
(2) 1 hours rainfall intensity-drainage area > 100km.
Step S2312, calculates prophase programming (P
a).
Even if same mountain torrents ditch, the rainfall intensity required for each mountain torrents occur also may be different because mountain torrents occur required for short duration rainfall amount also to depend in small watershed soil body water status at that time.Usually, the rainfall amount before mountain torrents occur is more, and the soil body is more close to saturated, and required short duration rainfall amount is also less.Following method can be taked to calculate:
Wherein, P
afor rainfall, i is for calculating number of days, and a is daily rainfall weighting coefficient, P
a≤ W
m.
For moistening, Semi-humid area, evaporation capacity is less, i >=10, a=0.8-0.9; For arid, semiarid zone, evaporation capacity is comparatively large, i >=5, a=0.6-0.8.
Step S2313, calculates rainfall and drives index (RTI).
Calculate rainfall and drive index RTI:
RTI＝PI×R，R＝R
0+P
a，
Wherein, R is effective cumulative precipitation, R
0for play cumulative precipitation, P
afor prophase programming sum.
During calculating, should analyze the PI of corresponding period when mountain torrents occur in each mountain torrents event and the R before this moment, the rainfall finally calculating this mountain torrents event drives index RTI value; If do not know the moment of this mountain torrents generation, then answer the product of period PI and R before thereof with the maximal phase of this rain time, the rainfall calculating this mountain torrents time drives index RTI.
Step S2314, draws critical block plan.
The first step, sets up " rainfall intensity-effectively cumulative precipitation " plane.
Second step, obtains subregion rainfall and drives index RTI value, comprise and sorting to RTI according to probability of happening, obtains the rainfall driving index RTI that probability is 10% and 80%.
3rd step, in " rainfall intensity-effectively cumulative precipitation " plane, according to the inversely prroportional relationship of RTI and PI and R, draws lower edge line and the upper limb line of mountain torrents generation rainfall critical zone, draws the critical block plan of rainfall.
4th step, carries out subregion to the critical block plan of rainfall according to mountain torrents possibility occurrence, in subregion, comprises the Critical Rainfall information of corresponding period.
Step S2315, obtains Critical Rainfall information.
Step S2316, analyzes threshold value and agriculture products.
With reference to the lower edge line in the critical block plan of rainfall and upper limb line, analyze the threshold value of the key element such as each hourly precipitation intensity, period cumulative precipitation, play cumulative precipitation, effectively cumulative precipitation.
According to analyzing above, RTI for boundary, carries out the process of two threshold values with 10% and 80%.Accordingly, the threshold value of each key element is suitably floated, thus obtain Critical Rainfall warning index, comprising: alertness index, preparation shift index and shift index immediately.
Step S2317, definite threshold index.
Remote monitoring early warning APP is installed in mobile terminal apply, user is applied by this remote monitoring early warning APP and manages monitoring area and survey station, and can real time inspection from the rainfall data of described multiple component detection integration source of early warning and waterlevel data, and long-rangely send steering order to described multiple component detection integration source of early warning.
The first step, opens remote monitoring early warning APP and applies;
Second step, enters login interface, and first time uses input username and password to be set to the username and password given tacit consent to, and can revise username and password after login, can remember password and use automatically to log in.
3rd step, after logining successfully, can add server, then keys in server address and user name password (the certification account in website), will sign in in website like this with this user.Multiple server can be registered, such as: the account possessing different authentication identity.Click menu button, can server be increased, carry out the username and password of the account of default and this software of amendment login in addition.
4th step, after login, enter respective server and user right functional module, can not be in sight for the function do not had, use the function that admin Account Logon is whole.Such as, click area management above, enter the list of regional information, list represents with paging form, can click the page number and enter respective page.The management adopting combobox to carry out survey station is changed, then can screen corresponding information display.Further, photo site and positional information, survey station can typing separately, and photo site and positional information can get on by supervention afterwards.In context menu, select " photo site and positional information " to enter the management of photo site and positional information.Taking pictures and namely get picture in scene, will be saved in survey station picture file folder by the picture of this operation shooting.
In addition, can also obtain the coordinate of survey station, this coordinate preferentially obtains from GPS location, then judges according to network when not opening GPS function.The current location of mobile terminal can be updated to the position of survey station by this operation.It should be noted that, the positional information of mobile terminal, the different manual modification of user, intelligence obtains and submits to.This APP application provides the inquiry of real time data and historical data further.
It should be noted that, the utility model is providing the app application mode checking monitoring data of mobile terminal and outside the mode of carrying out remote monitoring, is providing PC to hold monitor mode further.
Multiple component detection integration source of early warning of the present utility model communicates with personal computer PC further, user logs in remote monitoring early warning on-line system by described personal computer in Web mode, user is managed monitoring area and survey station by this remote monitoring early warning on-line system, and can real time inspection from the rainfall data of described multiple component detection integration source of early warning and waterlevel data.
Particularly, provide the online landing approach of Web, user is importer's flood early warning system network address http://www.XXX.com in browser address bar, and carriage return, enters the system login page.Then input username and password, click " login " and enter system home page.
System home page welcome page is made up of map, function menu, early warning bullet window three part.Map is used for locating the geographic position of local all point of termination station, the fenestella in the upper right corner according to the map, checks that website distributes by selecting type of site; Function menu comprises real-time monitoring, early warning information, data query, rainfall regimen, Administrator, is mainly user and provides various key swift to operate; If have warning information current, the lower left corner can show alarm bullet window, divides blue, yellow, orange, red level Four according to Alert Level, the quantity of the digitized representation warning website above color block.
Monitoring the page in real time, can inquire about according to area and grouping, the page is by the real-time monitor message of the qualified website of display.After selecting website, " early warning issue ", " station field signal ", " website setting ", " website calls survey together " operation can be carried out at right side " site operation panel "." early warning issue " is mainly used in issuing early warning information, and in " article content ", input will report content, and selects to report number of times, then clicks " report " button.
" station field signal " mainly provides the bookkeeping to selected website.At this panel, the management number of website, platform number, authorization number, SIM card number can be inquired about; The management number of website, platform number, authorization number, SIM card number are set; Amendment administrator's password, central platform password, telephone relation password, GPRS signcode, SIM card PIN code.
" website setting " mainly provides the setting operation to selected site apparatus.At this panel, can inquire about and arrange GPRS eartbeat interval, GPRS reconnects interval; Inquire about and arrange device voice volume, inquiry radio frequency, open and close radio; Query State, drive SIM card lock, close SIM card lock, close safety report, close GPRS.
" website calls survey together " is mainly used in the work information of website selected by date inquiries, device log, broadcast access times and rainfall water level information, and provides the function of sweep equipment daily record.
At the early warning information page, the historied rainfall warning information of institute of the interior website of main display linchpin and water level warning information, and, combination condition screening can be carried out according to geographic position, device numbering, site name and commencement date and deadline.
At the data query page, provide the query manipulation of the history information data to " early warning information ", " work information ", " rainfall water level information ", " device log ", " website threshold values information ", " Operation Log ", " website return message ".
" early warning information " mainly provides the inquiry to history early warning information data, can carry out combination condition screening, and provide Excel form download function according to geographic position, device numbering, site name, beginning and ending time.
" work information " mainly provides the inquiry to history work information data, can carry out combination condition screening, and provide Excel form download function according to geographic position, device numbering, site name, beginning and ending time.
" rainfall water level information " mainly provides the inquiry to history rainfall water level information data, can carry out combination condition screening, and provide Excel form download function according to geographic position, device numbering, site name, beginning and ending time.
" device log " mainly provides the inquiry to historical Device log information data, can carry out combination condition screening, and provide Excel form download function according to geographic position, device numbering, site name, beginning and ending time.
" website threshold values information " mainly provides the inquiry to history website threshold values information data, can carry out combination condition screening, and provide Excel form download function according to geographic position, device numbering, site name, beginning and ending time.
" Operation Log " mainly provides history broadcast operation, the inquiry of information data of calling survey operation, equipment operating, deletion action, query manipulation, retouching operation, setting operation together, combination condition screening can be carried out according to geographic position, device numbering, site name, beginning and ending time, and Excel form download function is provided.
" website return message " mainly provides and returns daily record to history broadcast operation, call the inquiry of the information data that survey operation returns daily record, equipment operating returns daily record, deletion action returns daily record, query manipulation returns daily record, retouching operation returns daily record, setting operation returns daily record together, combination condition screening can be carried out according to geographic position, device numbering, site name, beginning and ending time, and Excel form download function is provided.
" rainfall regimen " is mainly used in the rainfall of history and the water level statistical information that show website in linchpin, and provides the function of carrying out combination condition screening according to geographic position, device numbering, site name.
Administrator is mainly used in operating keeper's essential information, mainly comprises " keeper's details ", " adding keeper ", " administrator's password replacement ", " amendment administrator password ".
" keeper's details ", for checking Administrator Info, according to right side tree structure, can view the details of all keepers in oneself and administrative area.
" add keeper " and be mainly used in carrying out interpolation keeper operation to the area not arranging keeper in compass of competency.
" administrator's password replacement " is mainly used in the login password resetting local keeper.
" amendment administrator password " is mainly used in the login password revising current keeper.First input original code, new password, and confirm new password, then confirm to preserve, can be successfully modified.
Figure 24 is the process flow diagram of the multiple component detection integration method for early warning according to the utility model embodiment.
As shown in figure 24, the utility model also provides a kind of multiple component detection integration method for early warning, comprises the steps:
Step S2411, gather the various environmental parameters under current environment, wherein, various environmental parameters comprises: the view data of external environment condition, rainfall data, waterlevel data and rainfall duration
Step S2412, receive rainfall data, waterlevel data and rainfall duration, according to rainfall data, waterlevel data and the analysis of rainfall duration obtain play rainfall amount and hourly precipitation amount, compare according to play rainfall amount and hourly precipitation amount and multiple default rainfall type of alarm, obtain the rainfall type of alarm of current correspondence, the rainfall data arrived according to real-time reception after the rainfall type of alarm obtaining current correspondence and waterlevel data, judge whether to rise, if judge to rise, then raise the rainfall type of alarm of a rank, retime, detect current level, if judge water-break occurs, then lower the rainfall type of alarm of a rank, retime, detect current level, if judge that water level is constant, then keep current rainfall type of alarm, retime, detect current level,
Step S2413, according to rainfall data and the waterlevel data of upstream equipment and upstream device, judge whether the water level of current device changes every prefixed time interval, if the water level of current device changes, then further according to rainfall data and the waterlevel data of upstream equipment and upstream device, judge the SEA LEVEL VARIATION of upstream equipment and upstream device; If upstream equipment and the equal water-break of upstream device, then current device issues security message; If upstream equipment rises and upstream device water-break, then current device issues the flood warning information of highest level; If upstream equipment and upstream device all rise, then current device issues the flood warning information of appropriate level according to current level height
Step S2414, according to the rainfall type of alarm of current correspondence, outwardly sends alerting signal with audio broadcasting and/or buzzing form, and shows rainfall data, advanced warning grade, Gregorian calendar date, lunar date and current time, check and monitor for user.
Wherein, step S2412 and step S2413 can carry out simultaneously, also can successively perform.
In an embodiment of the present utility model, the utility model also comprises the steps: to add up rainfall and rainfall intensity PI, rainfall intensity and effective cumulative precipitation relation RTI according to the period of statistics current region, according to calculating above-mentioned three groups of data, Critical Rainfall index is set, further the current rainfall data, waterlevel data and the rainfall duration that collect and Critical Rainfall index are compared, current rainfall grade is set, wherein, described Critical Rainfall index comprises: alertness index, preparation shift index and shift index immediately
Wherein, RTI=PI × R, R=R
0+ P
a,
R is effective cumulative precipitation, R
0for play cumulative precipitation, P
afor prophase programming sum.
According to the multiple component detection integration source of early warning of the utility model embodiment, with the collection of many key elements and integrated early warning, increase reliability and the promptness of early warning.By the application of the external multiple intelligent instrument of standard industry interface in order to the monitoring and warning one of (various early-warning conditions) under solving various environment.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present utility model or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and described embodiment of the present utility model above, be understandable that, above-described embodiment is exemplary, can not be interpreted as restriction of the present utility model, those of ordinary skill in the art can change above-described embodiment when not departing from principle of the present utility model and aim, revising, replacing and modification in scope of the present utility model.Scope of the present utility model is by claims extremely equivalency.
Claims (10)
1. a multiple component detection integration source of early warning, is characterized in that, comprising: many key elements harvester and multiple monitoring and warning device, wherein,
Described many key elements harvester is positioned at outdoor, comprise: control box and be positioned at the solar panel of described control box side, image capture module, be positioned at the rain collection module above described control box, water level acquisition module and the first communication module that be connected wireless with monitoring alarm, the second communication module be connected with GSM/GPRS public network with described first communication module, wherein, described first communication module is installed in described control box, described first communication module is connected with water level acquisition module with described rain collection module respectively, described solar panel respectively with described rain collection module, water level acquisition module is connected to power with first communication module,
Each described monitoring and warning device are positioned at indoor, and each described monitoring and warning device are connected with described many key elements harvester respectively, comprise: the third communication module that be connected wireless with described first communication module, the threshold value of warning analysis module be connected with described third communication module, the alarm module be connected with described threshold value of warning analysis module and display module.
2. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, described water level acquisition module comprises: multichannel contact level sensor interface, RS232 water level interface, wireless water level collector interface.
3. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, described many key elements acquisition means also comprises: be positioned at the water-proof CCD camera bottom described control box, illumination detection module, PM2.5 detection module, the integrated detection module of environmental data and supply module, described supply module adopts redundant power supply design, comprising: based on the solar powered unit of peak power electric tracing MPPT, storage battery power supply unit and mains-supplied unit.
4. multiple component detection integration source of early warning as claimed in claim 1, is characterized in that,
Described first communication module comprises: GFSK modulation communication transmitting element, 2-GFSK modulation communication unit, MSK modulation communication unit, FSK modulation communication unit or ASK modulation communication unit;
Described second communication module comprises: GSM/GPRS communication unit;
Described third communication module comprises: GFSK modulation communication receiving element.
5. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, also comprise: pedestal and vertical rod, wherein, described vertical rod is installed on described pedestal, is provided with control box in the upper end of described vertical rod.
6. multiple component detection integration source of early warning as claimed in claim 5, it is characterized in that, the shape of described vertical rod is linear or shaped form.
7. multiple component detection integration source of early warning as claimed in claim 5, it is characterized in that, described alarm module is water-proof loudspeaker, is installed on the side of described vertical rod.
8. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, described monitoring and warning device also comprise: the near-field communication NFC module be connected with described threshold value of warning analysis module and WIFI module, and the bluetooth module be connected with described alarm module, the USB serial ports be arranged on described control box.
9. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, described display module adopts charactron and LCDs LED.
10. multiple component detection integration source of early warning as claimed in claim 1, it is characterized in that, described monitoring and warning device adopt the electronics formula of erasing to make carbon copies ROM (read-only memory) EEPROM.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106225823A (en) * | 2016-08-18 | 2016-12-14 | 尹小军 | A kind of water environment monitoring device |
| CN109118721A (en) * | 2018-10-31 | 2019-01-01 | 河海大学 | The method, apparatus and method for early warning of compound warning index are inquired into based on Critical Rainfall |
| CN109960197A (en) * | 2019-03-08 | 2019-07-02 | 合肥学院 | A kind of intelligent camping stake with the monitoring of spot camping environmental information |
| CN115116196A (en) * | 2022-06-10 | 2022-09-27 | 国家石油天然气管网集团有限公司 | Pipeline geological disaster early warning device with multi-azimuth monitoring function |
-
2015
- 2015-05-05 CN CN201520280112.7U patent/CN204667596U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106225823A (en) * | 2016-08-18 | 2016-12-14 | 尹小军 | A kind of water environment monitoring device |
| CN109118721A (en) * | 2018-10-31 | 2019-01-01 | 河海大学 | The method, apparatus and method for early warning of compound warning index are inquired into based on Critical Rainfall |
| CN109960197A (en) * | 2019-03-08 | 2019-07-02 | 合肥学院 | A kind of intelligent camping stake with the monitoring of spot camping environmental information |
| CN115116196A (en) * | 2022-06-10 | 2022-09-27 | 国家石油天然气管网集团有限公司 | Pipeline geological disaster early warning device with multi-azimuth monitoring function |
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