CN113325149A - Remote water quality monitoring system based on NB-Iot - Google Patents
Remote water quality monitoring system based on NB-Iot Download PDFInfo
- Publication number
- CN113325149A CN113325149A CN202110445829.2A CN202110445829A CN113325149A CN 113325149 A CN113325149 A CN 113325149A CN 202110445829 A CN202110445829 A CN 202110445829A CN 113325149 A CN113325149 A CN 113325149A
- Authority
- CN
- China
- Prior art keywords
- module
- water quality
- control
- quality monitoring
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 102
- 238000012544 monitoring process Methods 0.000 title claims abstract description 63
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000012806 monitoring device Methods 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 9
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 8
- 238000010801 machine learning Methods 0.000 claims description 8
- 229910052760 oxygen Inorganic materials 0.000 claims description 8
- 239000001301 oxygen Substances 0.000 claims description 8
- 238000013079 data visualisation Methods 0.000 claims description 5
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000012800 visualization Methods 0.000 claims 1
- 230000000007 visual effect Effects 0.000 abstract description 3
- 238000000034 method Methods 0.000 description 16
- 230000008569 process Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000006855 networking Effects 0.000 description 4
- 230000003993 interaction Effects 0.000 description 2
- 239000003643 water by type Substances 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000005059 dormancy Effects 0.000 description 1
- 239000003657 drainage water Substances 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012880 independent component analysis Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000007477 logistic regression Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000013526 transfer learning Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D11/00—Devices accepting coins; Devices accepting, dispensing, sorting or counting valuable papers
- G07D11/20—Controlling or monitoring the operation of devices; Data handling
- G07D11/22—Means for sensing or detection
- G07D11/235—Means for sensing or detection for monitoring or indicating operating conditions; for detecting malfunctions
- G07D11/237—Means for sensing or detection for monitoring or indicating operating conditions; for detecting malfunctions for detecting transport malfunctions, e.g. jams or misfeeds
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Medicinal Chemistry (AREA)
- Signal Processing (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention provides a remote water quality monitoring system based on NB-Iot, which comprises: the module is put in to electric connection's water quality monitoring equipment in proper order, water quality monitoring equipment module, data terminal module and high in the clouds data processing module, water quality monitoring equipment puts in the module and is used for throwing water quality monitoring equipment to the aquatic, water quality monitoring equipment module includes electric connection's orientation module and sensor module, data terminal module is used for receiving and shows monitoring data, high in the clouds data processing module is used for the storage and looks over the data that water quality monitoring equipment module reported to handle and visual data. Realize the remote acquisition and processing of the water quality data in any water area.
Description
Technical Field
The invention relates to the technical field of water quality monitoring equipment, in particular to a remote water quality monitoring system based on NB-Iot.
Background
The current water resource supervision is generally to carry out the collection monitoring and the analysis of key elements such as water level, quality of water, temperature, pressure, traditional check out test set is relatively laggard, can only artificially put in or set up in corresponding waters, adopt the mode of manual monitoring or ordinary mechanical water gauge monitoring promptly, the accuracy and the reliability of monitoring data are difficult to guarantee, and equipment is a complete monitoring system usually, do not possess with other equipment data interaction and dynamic analysis's function, the data of collecting are in disorder, subsequent manual analysis data are consuming a large amount of manpower and material resources, the cost is high, the while also can't realize carrying out real-time data's control to water quality monitoring equipment and water quality information, monitoring work is very inconvenient. The water quality monitoring system has the problems that the monitored water area range is fixed and smaller, so that the number of sampling points is small, and the accuracy and the reliability of field data acquisition are poor.
Disclosure of Invention
The invention solves the main problem of how to remotely collect and detect water quality in a water area in a large range and process and visualize monitoring data by utilizing technologies such as machine learning and the like based on a cloud Internet of things platform.
In order to solve the above problems, the present invention provides a remote water quality monitoring system based on NB-Iot, comprising:
the system comprises a water quality monitoring device throwing module, a water quality monitoring device module, a cloud data processing module and a data terminal module which are electrically connected in sequence;
the water quality monitoring device releasing module is used for receiving a control instruction of the cloud data processing module and releasing the water quality monitoring device module to a target water area according to the control instruction;
the water quality monitoring equipment module comprises a singlechip, an NB-IoT wireless communication module and a sensor module, wherein the singlechip, the NB-IoT wireless communication module and the sensor module are electrically connected and are driven by the singlechip and used for acquiring monitoring data;
the cloud data processing module is used for receiving and storing the monitoring data, and processing and visualizing the monitoring data;
and the data terminal module is used for receiving and displaying the processed and visualized monitoring data.
Further, the water quality monitoring device putting module is an industrial unmanned aerial vehicle.
Further, the singlechip is an STM32 type singlechip.
Further, the NB-IoT wireless communication module is a Quectel BC20 module.
Further, the sensor module includes: the temperature module, the chrominance module, the turbidity module, the pH value module, the conductivity module, the suspended matter module and the dissolved oxygen module are respectively and electrically connected with the data terminal module.
Furthermore, the data terminal module remotely controls the water quality monitoring device to be started and shut down and controls the working state of the sensor module.
Further, the data terminal module includes: the display control is an icon or a character displayed on a display interface and comprises a data viewing control, a data visualization control, a data processing control, a remote control and a water area information switching control;
and the display interface is used for displaying the display control and the water area positioning information.
The data viewing control, the data visualization control and the data processing control are positioned on the upper part of the display interface;
the remote control and the water area information switching control are sequentially positioned at the lower part of the display interface;
and the water area positioning information is displayed on the display interface.
Further, the remote control comprises a sensing module on-off control, a temperature control, a chromaticity control, a turbidity control, a pH value control, a conductivity control, a suspended matter control and a dissolved oxygen control.
Further, the processing and visualizing the monitoring data comprises: and processing and analyzing the monitoring data through a machine learning algorithm and a deep learning algorithm.
The water quality monitoring system provided by the invention mainly realizes remote acquisition and processing of water quality data of any water area, and can quickly and accurately put any number of water quality monitoring devices into any water area through the water quality monitoring device putting module such as an industrial unmanned aerial vehicle. In addition, the NB-IoT wireless communication module supports GPS/Beidou positioning, and can report the geographical position information of the water quality monitoring equipment, so that the monitoring of a plurality of water areas can be possible. This system can also utilize technologies such as machine learning to handle and visual data at high in the clouds thing networking platform, compares traditional local data processing mode convenient more and high-efficient, through the terminal equipment that corresponds, more can look over each item quality of water index at any time with the place to carry out remote control to water quality monitoring equipment, let the people rely on and save worry.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic diagram of a remote water quality monitoring system based on NB-Iot in an embodiment of the present invention.
Fig. 2 is a schematic diagram of an interface of a data terminal module according to an embodiment of the present invention.
FIG. 3 is a schematic view of a water area selection interface according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a water quality sensor selection interface in an embodiment of the invention.
Fig. 5 is a schematic diagram of an overall connection relationship between a cloud terminal, a base station, and a device according to an embodiment of the present invention.
FIG. 6 is a schematic view of the overall function implementation process of the water quality monitoring system in the embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
As shown in fig. 1, disclosed is a remote water quality monitoring system based on NB-Iot, comprising: the system comprises an industrial unmanned aerial vehicle module, a water quality monitoring device module, a data terminal module and a cloud Internet of things platform module which are electrically connected; the industrial unmanned aerial vehicle module is used for throwing water quality monitoring equipment; the data terminal module comprises a mobile phone APP module and/or a WeChat applet module; the water quality monitoring equipment module comprises a GPS or Beidou module, a temperature module, a chromaticity module, a turbidity module, a pH value module, a conductivity module, a suspended matter module, a dissolved oxygen module and the like, and is used for respectively detecting the temperature, the chromaticity, the turbidity, the pH value, the conductivity, the suspended matter, the dissolved oxygen and the like of water; the cloud Internet of things platform module is used for storing and checking reported data, processing the data and visualizing the data.
The GPS/Beidou positioning module can acquire the geographical position information of the water quality monitoring equipment, including longitude and latitude, marks the position of a target water area on a map, and is convenient for a later-stage user and/or an administrator to confirm the geographical position of the water area.
A plurality of display controls are arranged on a display interface connected with the mobile phone APP or the WeChat small program module, the display controls are icons, pictures or characters, and the data viewing control is clicked, so that various water quality indexes reported by the water quality monitoring equipment in all time periods can be viewed; clicking the data processing control to check data processed by technologies such as machine learning at the cloud, for example, data after data classification; clicking the data visualization control to view charts such as bar graphs or pie charts formed by the processed data; the map positioning information interface is arranged in the middle of the display interface, so that the position of the water area on the map can be marked, and the longitude and the latitude of the water area can be checked; a row of remote control controls are displayed below the map interface, and can be used for remotely controlling the on and off of monitoring equipment and the states of sensors such as temperature, chroma, turbidity, pH value, conductivity, suspended matters, dissolved oxygen and the like; the lowest part of the display interface is provided with a drainage water area switching control, the number of water areas is monitored, the number of switching controls is large, and switching can be performed among different water areas through the switching controls so as to check information such as water quality indexes and geographical positions of related water areas.
Cloud thing networking platform uses the hua is cloud IotDA, and water quality monitoring equipment access service IoTDA is the thing networking platform of hua is the cloud, and it provides functions such as the two-way message communication of mass equipment connection cloud, equipment and cloud, batch equipment management, remote control and control, OTA upgrading, equipment linkage rule to can be with the nimble circulation of equipment data to other services of hua is the cloud. The cloud Internet of things platform is used for storing and checking reported data, processing the data, visualizing the data and feeding the processed data back to a mobile phone APP or a WeChat applet so that a user or an administrator can check the data as required.
The STM32 single chip microcomputer is an MCU designed for embedded application with high performance, low cost and low power consumption, is used as a chip-level computer and is used for different combination control in different application occasions; the driven Quectel BC20 is an NB-IoT wireless communication module which has high performance, low power consumption, multiple frequency bands and support GNSS positioning function, can meet the requirement of terminal equipment on small-size module products to the maximum extent, and simultaneously effectively helps users to reduce the product size and optimize the product cost.
The STM32 single chip microcomputer receives and processes data detected by each sensor, then the data are transmitted to the BC20 module through a serial port, an AT command is sent to the BC20 module, and finally the data are sent to the cloud Internet of things platform through an NB-Iot protocol by means of the BC20 module.
The data transmitted to the cloud Internet of things platform are processed and analyzed through a traditional machine learning algorithm and a deep learning algorithm, the traditional machine learning algorithm comprises a decision tree, a naive Bayes classification, a least square method, a logistic regression, a support vector machine, an integration method, a clustering algorithm, a principal component analysis, a singular value decomposition, an independent component analysis and the like, and the deep learning algorithm comprises back propagation, random gradient descent, learning rate attenuation, Dropout, a maximum pool, batch standardization, long-short term memory, Skip-gram, a continuous word band model, transfer learning and the like.
After the cloud Internet of things platform processes data, a large amount of data are represented in a graphic image form, such as a bar graph, a pie graph, a box graph and the like, so that a user can conveniently and visually check and acquire required information on a mobile phone APP/WeChat applet visual interface.
In some embodiments, an STM32 single chip microcomputer program is written, so that the single chip microcomputer can correctly receive data detected by various water quality sensors, and the data are subjected to A/D conversion and other processing.
The utility model discloses a long-range water quality monitoring system based on NB-Iot uses industry unmanned aerial vehicle to carry out the input of water quality monitoring equipment in the waters of choosing, compares in traditional water quality monitoring scheme, and the restriction of geographical condition has been overcome to this scheme, and water quality sensor can all weather data collection and long-range report to high in the clouds thing networking platform, has removed scientific research personnel from and has collected the time and the energy that data need consume at the scene, and is difficult for receiving the influence of weather and environment. The device supports GPS/Beidou positioning, can report the geographical position information of the water quality detection device, and makes monitoring of a plurality of water areas possible. The data are processed and visualized by utilizing technologies such as mechanical learning on the cloud Internet of things platform, and compared with a traditional local data processing mode, the method is more convenient and efficient. Through developing corresponding cell-phone APP and believe little procedure a little, more can look over each item quality of water index anytime and anywhere to carry out remote control to water quality monitoring equipment, let the people trust and save worry.
The working principle of the device is that a plurality of water quality sensors detect the temperature, the chromaticity, the turbidity, the pH value, the conductivity, the suspended matters, the dissolved oxygen and other comprehensive indexes of water quality conditions in real time, so that a Quectel BC20 module obtains the geographic position of the water quality monitoring device, the data are uploaded to a cloud Internet of things platform by using an NB-Iot protocol, the reported data can be checked and stored in real time on the cloud Internet of things platform, the data are processed and visualized by using the technologies such as machine learning and the like, so as to obtain the information of the pollution degree, the geographic position and the like of a relevant water area, in addition, the cloud Internet of things platform can also use an IoNB-Iot protocol to issue commands to the water quality monitoring device so as to realize remote control, such as the dormancy and awakening of the remote control device, and the like, and meanwhile, the data of the cloud Internet of the Internet of things platform are subscribed by using a mobile phone or a micro-messaging small program, the data can be more conveniently checked and the command can be issued, and better human-computer interaction experience can be achieved.
The above description is only exemplary of the present invention and should not be taken as limiting the invention, as any modification, equivalent replacement, or improvement made within the spirit and scope of the present invention should be included in the present invention.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element.
Claims (9)
1. A remote water quality monitoring system based on NB-Iot is characterized by comprising:
the system comprises a water quality monitoring device throwing module, a water quality monitoring device module, a cloud data processing module and a data terminal module which are electrically connected in sequence;
the water quality monitoring device releasing module is used for receiving a control instruction of the cloud data processing module and releasing the water quality monitoring device module to a target water area according to the control instruction;
the water quality monitoring equipment module comprises a singlechip, an NB-IoT wireless communication module and a sensor module, wherein the singlechip, the NB-IoT wireless communication module and the sensor module are electrically connected and are driven by the singlechip and used for acquiring monitoring data;
the cloud data processing module is used for receiving and storing the monitoring data, and processing and visualizing the monitoring data;
and the data terminal module is used for receiving and displaying the processed and visualized monitoring data.
2. The NB-Iot based remote water quality monitoring system according to claim 1, wherein the water quality monitoring device launching module is an industrial unmanned aerial vehicle.
3. The NB-Iot based remote water quality monitoring system according to claim 1, wherein the single chip microcomputer is an STM32 type single chip microcomputer.
4. The NB-Iot based remote water quality monitoring system according to any one of claims 1 or 3, wherein the NB-IoT wireless communication module is a Quectrel BC20 module for positioning the water quality monitoring device module.
5. The NB-Iot based remote water quality monitoring system according to claim 1, wherein the sensor module comprises:
the temperature module, the chrominance module, the turbidity module, the pH value module, the conductivity module, the suspended matter module and the dissolved oxygen module are respectively and electrically connected with the data terminal module.
6. The NB-Iot based remote water quality monitoring system according to claim 1, wherein the data terminal module comprises:
the display control is an icon or a character displayed on a display interface and comprises a data viewing control, a data visualization control, a data processing control, a remote control and a water area information switching control;
and the display interface is used for displaying the display control and the water area positioning information.
7. The NB-Iot based remote water quality monitoring system according to claim 6, wherein:
the data viewing control, the data visualization control and the data processing control are sequentially positioned on the upper part of the display interface;
the remote control and the water area information switching control are sequentially positioned at the lower part of the display interface;
and the water area positioning information is displayed on the display interface.
8. The NB-Iot based remote water quality monitoring system according to any one of claims 6-7, wherein:
the remote control comprises a sensing module startup and shutdown control, a temperature control, a chromaticity control, a turbidity control, a pH value control, a conductivity control, a suspended matter control and a dissolved oxygen control.
9. The NB-Iot based remote water quality monitoring system of claim 1, wherein the processing and visualization of the monitoring data comprises:
and processing and analyzing the monitoring data through a machine learning algorithm and a deep learning algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110445829.2A CN113325149A (en) | 2021-04-23 | 2021-04-23 | Remote water quality monitoring system based on NB-Iot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110445829.2A CN113325149A (en) | 2021-04-23 | 2021-04-23 | Remote water quality monitoring system based on NB-Iot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113325149A true CN113325149A (en) | 2021-08-31 |
Family
ID=77413579
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110445829.2A Pending CN113325149A (en) | 2021-04-23 | 2021-04-23 | Remote water quality monitoring system based on NB-Iot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113325149A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107271627A (en) * | 2017-07-05 | 2017-10-20 | 威海格邦电子科技有限公司 | A kind of visualization water quality information monitoring system based on Internet of Things and big data technology |
| CN206684137U (en) * | 2016-12-28 | 2017-11-28 | 中国计量大学 | A kind of releasing type water quality detection gondola platform based on unmanned plane |
| CN211206462U (en) * | 2019-07-15 | 2020-08-07 | 浙江创韵环境科技有限公司 | Thing networking water quality monitoring system |
-
2021
- 2021-04-23 CN CN202110445829.2A patent/CN113325149A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206684137U (en) * | 2016-12-28 | 2017-11-28 | 中国计量大学 | A kind of releasing type water quality detection gondola platform based on unmanned plane |
| CN107271627A (en) * | 2017-07-05 | 2017-10-20 | 威海格邦电子科技有限公司 | A kind of visualization water quality information monitoring system based on Internet of Things and big data technology |
| CN211206462U (en) * | 2019-07-15 | 2020-08-07 | 浙江创韵环境科技有限公司 | Thing networking water quality monitoring system |
Non-Patent Citations (2)
| Title |
|---|
| 吴冲龙等: "基于大数据的城市地质环境智能监管思路与方法", 《地质科技通报》 * |
| 李燕: "《水污染控制工程》", 31 January 2017 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106525132B (en) | Water resource gridding supervisory systems and its implementation method based on NB-IoT | |
| Mabrouki et al. | Use of internet of things for monitoring and evaluating water's quality: a comparative study | |
| KR101173846B1 (en) | Monitoring System for Water Qulity and Ecology of River and Subterranean | |
| CN114650512A (en) | Intelligent city ecological environment monitoring system based on digital twins | |
| KR20160072432A (en) | System for providing observation data for marine environment | |
| CN205301613U (en) | But automatic meteorological station of remote access | |
| CN107835244A (en) | Agriculture crop field MONITORING AND PRE WARNING SYSTEM OF CLIMATIC CALAMITY based on Internet of Things | |
| CN108593098A (en) | A kind of noise detection system based on cloud computing | |
| CN113970627B (en) | Water quality monitoring and early warning method and system | |
| WO2020196543A1 (en) | Fishing ground information provision device, and fishery information provision program | |
| CN209545749U (en) | A kind of land, sea and air integration ecological environmental monitoring system | |
| CN113109344A (en) | Novel real-time efficient water quality monitoring system based on internet of things | |
| CN112311880A (en) | Internet of things monitoring system for urban secondary water supply | |
| Munara et al. | Recommending IoT based real-time water quality monitoring system in Malaysia | |
| CN111443631A (en) | Portable urban garden ecological environment intelligent monitoring system | |
| CN205920233U (en) | Meteorological monitoring and early warning system based on GIS | |
| Wang et al. | PublicSense: a crowd sensing platform for public facility management in smart cities | |
| CN113325149A (en) | Remote water quality monitoring system based on NB-Iot | |
| CN203480678U (en) | Wireless monitoring device for environmental parameters in wardrobe | |
| CN205426229U (en) | Ocean engineering marine environmental monitoring system | |
| CN109540217A (en) | Remote marine monitoring system | |
| CN109521747A (en) | A kind of real-time water quality monitoring system and method based on Internet of Things | |
| CN206695845U (en) | Based on wireless serial, the Big Dipper, bluetooth, GSM environmental monitoring system | |
| CN209471476U (en) | Intelligent patrol detection monitoring apparatus and system | |
| CN210578661U (en) | Low-power-consumption geological disaster big data monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210831 |
|
| RJ01 | Rejection of invention patent application after publication |