CN115963227A - Real-time atmosphere navigation monitoring system and method based on Internet of things - Google Patents
Real-time atmosphere navigation monitoring system and method based on Internet of things Download PDFInfo
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Abstract
The invention provides an atmosphere real-time navigation monitoring system and method based on the Internet of things, belonging to the technical field of atmosphere monitoring, wherein the system comprises navigation equipment, an Internet of things platform and a client, wherein a central controller, a sampling module, an induction module, a driving module and a communication module are arranged in the navigation equipment; the Internet of things platform comprises a storage module, an analysis module and a management module; the client is in communication connection with the Internet of things platform, the client can subscribe and check the navigation sampling analysis data according to different authorities and receive the alarm information, the system can quickly detect the concentration of air pollutants in real time and output the air pollutants in a unified data format through acquisition driving, meanwhile, the upstream pollution emission enterprises are quickly judged by combining environmental parameters, map data and basic information of the pollution source enterprises, the source of the pollutants is traced, the downstream sensitive point position is analyzed, an alarm and an early warning signal are timely output, and technical support is provided for atmosphere control fine management.
Description
Technical Field
The invention belongs to the technical field of atmospheric monitoring, and particularly relates to an atmospheric real-time navigation monitoring system and method based on the Internet of things.
Background
The monitoring and analyzing method of the atmospheric pollutants is mainly divided into an off-line monitoring mode and an on-line monitoring mode. The off-line monitoring analysis has the advantages of high accuracy of analysis results, good sensitivity and the like, but the analysis process is time-consuming and labor-consuming, has strict requirements on the operating environment, and is difficult to carry out real-time monitoring on the time-space change of the regional pollutant concentration. The on-line monitoring analysis has real-time performance and is a widely used mode at present, the monitoring in the mode is fixed point location monitoring, and the on-line monitoring analysis has the defects of high early investment cost, complex approval process, more material consumption, high equipment maintenance difficulty, few monitoring data types and the like. Due to the influence of economic factors, the working range of monitoring stations is limited, and the number of monitoring stations cannot meet the requirement of large-scale detection work, so that mobile navigation monitoring is gradually started.
Because atmospheric monitoring need be monitored multiple material simultaneously, it is more to lead to current on the monitoring facilities of navigating, the space is less, and each equipment data mode of looking over differs, real-time examination is difficult, need personnel to examine a plurality of equipment data simultaneously, lead to unusual data discovery time lag, check unusual data time and locating information and just can find unusual position, waste a large amount of time, and inefficiency, and cloud service function has not been possessed, the monitoring data of navigating only supports the local and looks over, need to carry out data upload operation in addition, influence the ageing.
Disclosure of Invention
The embodiment of the invention provides an atmosphere real-time navigation monitoring system and method based on the Internet of things, which are used for quickly detecting the concentration of air pollutants in real time, unifying data format output through acquisition driving, quickly judging upstream pollution emission enterprises by combining environmental parameters, map data and basic information of pollution source enterprises, tracing the sources of the pollutants, analyzing downstream sensitive points, and outputting alarm and early warning signals in time, thereby providing technical support for atmosphere treatment fine management.
In view of the above problems, the technical solution proposed by the present invention is:
the invention provides an atmosphere real-time navigation monitoring system based on the Internet of things, which comprises navigation equipment, an Internet of things platform and a client,
the air sample analysis device comprises a navigation device, wherein a central controller, a sampling module, a sensing module, a driving module and a communication module are arranged in the navigation device, the sampling module and the sensing module are electrically connected with the driving module, the driving module and the communication module are electrically connected with the central controller, the central controller is used for starting and stopping control and operation parameter setting of a sampling sensing instrument, the sampling module is used for online analysis of an air sample, the sensing module is used for sensing external environment parameters of the navigation device, the driving module is used for format conversion among data, and the communication module comprises a wireless gateway and a wired port and is used for transmitting data on the navigation device to the Internet of things platform in real time;
the Internet of things platform comprises a storage module, an analysis module and a management module, wherein the storage module is used for storing data analysis reference information and analysis results, the analysis module is used for analyzing data acquired by the navigation equipment, tracing a pollution source and triggering an alarm notification, and the management module is used for managing the authority of each client;
the client is in communication connection with the Internet of things platform, and can subscribe to check the navigation sampling analysis data according to different authorities and receive alarm information.
As a preferred technical solution of the present invention, the sampling module includes a sampling tube, a sampling pump and an analyzer, one end of the sampling tube extends to the outside of the navigation device, the other end of the sampling tube is communicated with an inlet end of the sampling pump, an outlet end of the sampling pump is communicated with an input end of the analyzer, and the analyzer is configured to analyze the concentration of VOCs, the concentration of particulate matter, and the concentration of nitrogen oxides in sample air.
As a preferred technical scheme of the invention, the sensing modules are arranged on the outer side of the navigation equipment, each sensing module comprises a temperature and humidity unit, a wind speed and direction unit and a positioning unit, the temperature and humidity unit is used for sensing temperature and humidity data of the outside air of the navigation equipment, the wind speed and direction unit is used for sensing the flow speed and flow direction of the outside air of the navigation equipment, and the positioning unit is based on a Beidou GPS positioning system and is used for sensing the real-time geographical position of the navigation equipment.
As a preferred technical solution of the present invention, the storage module includes a map database, an enterprise information database and a monitoring database, the map database is used for storing three-dimensional map data and geographic information of a work area, the enterprise information database is used for storing names, locations, production scales and pollution emission information of polluted enterprises, and the monitoring database is used for storing daily sampling and operation and maintenance data uploaded by the navigation device.
As a preferred technical scheme of the invention, the map database is connected with the geographical background to update the map data periodically, and the enterprise information database is connected with the environment-friendly online platform to update the recorded pollution emission enterprise information in real time.
As a preferred technical scheme, the analysis module comprises a tracing unit, an alarm unit and a report unit, wherein the tracing unit is used for dynamically defining a pollution source emission interval according to air pollutant concentration, wind speed and wind direction and a navigation route, and then judging a pollution source emission enterprise according to the position of the pollution enterprise, the alarm unit is used for simulating a pollution diffusion path according to the air pollution concentration and environmental conditions and sending an alarm prompt to a sensitive point in the diffusion path, and the report unit is used for generating a curve graph report according to the result of real-time analysis of air pollution in the navigation process.
As a preferred technical solution of the present invention, the management module includes an information entry unit and a port management unit, the information entry unit is used for registering an initial identity of a user, and the port management unit is used for allocating user permissions to establish connections between user identities and the respective clients, so that users with different identities refer to different types of monitoring information.
On the other hand, the real-time atmospheric air navigation monitoring method based on the Internet of things comprises the following steps:
s1, acquiring data, enabling the navigation equipment to walk along a preset route, extracting air in the environment through a sampling pipe by a sampling pump and guiding the air into an analysis instrument, monitoring the atmospheric quality and pollution condition in the route in real time, and sensing the temperature, humidity, wind speed and wind direction of the air and the geographical positioning of the navigation equipment by a sensing module;
s2, uploading data, wherein the driving module uploads the data transmitted by the sampling module and the sensing module to an Internet of things platform through a communication module after time and space alignment conversion is carried out on the data, and the central controller temporarily stores the data to be uploaded under the conditions that the communication module is weak and disconnected;
s3, a data analysis and analysis module receives data uploaded by the navigation equipment, the navigation equipment is positioned and marked on a monitoring map in a map database in real time according to the data of a positioning unit, a tracing unit is used for calling temperature, humidity, wind speed and wind direction data of the current point position of the navigation equipment for the data exceeding a preset standard value, a pollution source direction and a pollutant emission interval are determined, then a pollution source emission enterprise is judged according to the position of the pollution enterprise in an enterprise information database, and an alarm unit generates alarm information and sends the alarm information to a pollution enterprise manager client;
s4, pollution early warning, namely simulating a pollutant discharge diffusion path by an alarm unit according to the production scale of a pollution source discharge enterprise and the wind speed and direction information, and sending prompt information to a client of a sensitive point location manager existing in the diffusion path;
and S5, data arrangement, wherein after the operation of the navigation equipment is finished, a report unit generates a visual report for the data in the navigation monitoring process, and the visual report is imported into a monitoring database for filing and storage for fine management of atmospheric environment.
Compared with the prior art, the invention has the beneficial effects that:
(1) The data acquisition instruments are expanded through the driving module, the data format is unified, the expansion capability is strong, more acquisition instruments can be conveniently accessed, more atmospheric pollutant indexes can be monitored, the alignment of data time and space is facilitated, the data transmission and analysis and arrangement steps are optimized, the sampling efficiency is improved, data are shared in real time through an Internet of things platform, the data link is shortened, the transmission cost and the data delay are reduced, and the visual display of the data is realized after the authority is acquired through the client;
(2) The Internet of things platform combines the rapid analysis of meteorological conditions to judge pollutant discharge enterprises through enterprise pollutant discharge amplification data, facilitates pollution traceability, and gives early warning prompts to downstream affected sensitive points in advance, so that pollution risks are reduced, and accurate striking of the polluted enterprises and fine management of atmosphere prevention and control are facilitated.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic structural diagram of an atmosphere real-time navigation monitoring system based on the Internet of things, which is disclosed by the invention;
FIG. 2 is a working flow chart of the atmospheric real-time navigation monitoring method based on the Internet of things, which is disclosed by the invention;
description of reference numerals: 100. a navigation device; 101. a central controller; 102. a sampling module; 1021. a sampling tube; 1022. a sampling pump; 1023. an analytical instrument; 103. a sensing module; 1031. a temperature and humidity unit; 1032. a wind speed and direction unit; 1033. a positioning unit; 104. a drive module; 105. a communication module; 200. an Internet of things platform; 201. a storage module; 2011. a map database; 2012. an enterprise information database; 2013. monitoring a database; 202. an analysis module; 2021. a source tracing unit; 2022. an alarm unit; 2023. a report unit; 203. a management module; 2031. an information entry unit; 2032. a port management unit; 300. and (4) a client side.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive efforts based on the embodiments of the present invention, are within the scope of protection of the present invention.
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, it need not be further defined or explained in subsequent figures.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example one
Referring to the attached figure 1, the invention provides a technical scheme: an atmosphere real-time navigation monitoring system based on the Internet of things comprises navigation equipment 100, an Internet of things platform 200 and a client 300;
wherein, a central controller 101, a sampling module 102, a sensing module 103, a driving module 104 and a communication module 105 are arranged in the navigation device 100, the sampling module 102 and the sensing module 103 are both electrically connected with the driving module 104, the driving module 104 and the communication module 105 are both electrically connected with the central controller 101, the central controller 101 is used for start-stop control and operation parameter setting of a sampling sensing instrument, the central controller 101 detects the working state of the instrument in real time, sends out an alarm signal and cuts off a working power supply in time when abnormality occurs, so as to protect the safety of the instrument, the sampling module 102 is used for online analysis of an air sample, the sampling module 102 comprises a sampling pipe 1021, a sampling pump 1022 and an analysis instrument 1023, one end of the sampling pipe 1021 extends to the outer side of the navigation device 100, the other end of the sampling pipe 1021 is communicated with the inlet end of the sampling pump 1022, the outlet end of the sampling pump 1022 is communicated with the input end of the analysis instrument 1023, the analyzer 1023 is used for analyzing the concentration of VOCs, the concentration of particulate matters and the concentration of nitrogen oxides in sample air, the sampling module 102 sucks air in the atmosphere into the analyzer 1023 in a negative pressure suction mode to be used as the sample air to carry out component analysis and detection, so as to obtain atmospheric pollution data, the analyzer 1023 periodically carries out calibration and calibration to ensure the accuracy and sensitivity of the sailing monitoring, the sensing module 103 is used for sensing environmental parameters outside the sailing equipment 100, the sensing module 103 is arranged outside the sailing equipment 100, the sensing module 103 comprises a temperature and humidity unit 1031, a wind speed and direction unit 1032 and a positioning unit 1033, the temperature and humidity unit 1031 is used for sensing temperature and humidity data of the air outside the sailing equipment 100, the temperature and humidity facilitate judging the pollutant discharge rate, and the wind speed and direction unit 1032 is used for sensing the flow speed and the flow direction of the air outside the sailing equipment 100, the wind speed and the wind direction are important parameters for judging pollutant sources, convenience is provided for quickly positioning pollutant emission intervals, the positioning unit 1033 is based on a Beidou GPS positioning system and used for sensing the real-time geographic position of the navigation equipment 100, the positioning unit 1033 facilitates path navigation and real-time position monitoring of the navigation equipment 100, the driving module 104 is used for converting formats of data, coordinating the problems of inconsistent interfaces and protocols between the equipment and the sensors, data time and space alignment is realized through the driving module 104, data intercommunication is realized, the expansion capability of the navigation equipment 100 is improved, the data processing load is reduced, the working efficiency is improved, the communication module 105 comprises a wireless gateway and a wired port and is used for transmitting data on the navigation equipment 100 to the Internet of things platform 200 in real time;
the platform 200 of the internet of things performs data time, space aggregation and cleaning work in real time by adopting flow calculation to realize atmospheric data analysis work such as pollutant concentration correlation analysis and pollutant activity analysis, the platform 200 of the internet of things comprises a storage module 201, an analysis module 202 and a management module 203, the storage module 201 is used for storing data analysis reference information and analysis results, the storage module 201 comprises a map database 2011, an enterprise information database 2012 and a monitoring database 2013, the map database 2011 is used for storing three-dimensional map data and geographic information of a working region, 2D map information is stored in the map database 2011 and is convenient for being called and used when a pollutant is traced, the enterprise information database 2012 is used for storing names, positioning, production scale and pollutant emission information of polluted enterprises, the enterprise information is recorded by an environment-friendly online platform, when pollution disposal license and annual pollution discharge information are recorded, big data is automatically captured and audited to update data in the enterprise information database 2012, the pollutant emission enterprises in a quick positioning interval is convenient, the monitoring database 2013 is used for storing daily sampling and operation and maintenance data, the monitoring database is used for storing daily sampling, the pollutant emission data and reporting to an alarm unit 2021 for automatically acquiring and reporting a pollution source analysis unit 2021, and a warning unit 2021 for reporting a pollution emission source analysis unit, which is used for reporting a pollution emission source analysis and a pollution tracing to an emission source by a warning unit 2021 according to a working environment-tracing a pollution emission tracing unit 2021, the enterprise in the area can be ranked by establishing a scoring mechanism, the enterprise with abnormal ranking is subjected to key supervision, training and tutoring are carried out for one-to-one management, benign development of environmental management is promoted, the alarm unit 2022 is used for simulating a pollution diffusion path according to air pollution concentration and environmental conditions, an alarm prompt is sent to a sensitive point in the diffusion path, after a pollutant emission source is determined, the motion and the diffusion path of pollutants can be predicted by combining wind direction data, the influence of pollutant propagation on each sensitive point can be judged according to the distribution of the sensitive point which is input in advance, prompt information is sent to the point with the heavier influence in time, prevention and treatment measures are taken in advance, pollution damage is reduced, the report unit 2023 is used for generating a curve graph report according to the result of real-time air pollution analysis in the navigation process, so as to facilitate visualization of data, the management module 203 is used for managing the authority of each client 300, the management module 203 comprises an information input unit 2031 and a port management unit 2032, the information input unit 2031 is used for registering a port of the initial user identity, the management unit 2 is used for distributing the authority of the user, the user identity is connected with each client 300, so that the safety management of different types of the user identities, and the user safety management of the user is facilitated;
the client 300 is in communication connection with the Internet of things platform 200, the client 300 can subscribe and view the navigation sampling analysis data according to different authorities and receive alarm information, and a user views the navigation monitoring data in a different place through the client 300 in a real-time sharing manner, so that the system is convenient and practical 。
The embodiment of the invention is also realized by the following technical scheme.
In the embodiment of the invention, the map database 2011 is connected with the geographic background to update map data periodically, the geographic background receives four-dimensional and user feedback information, the integrity and the accuracy of the map database 2011 are ensured, the enterprise information database 2012 is connected with the environment-friendly online platform to update the recorded pollution emission enterprise information in real time, and the pollution discharge condition of the enterprise is captured and updated in real time through big data, so that the accurate striking of the pollution enterprise and the fine management of atmosphere control are facilitated.
Example two
Referring to fig. 2, an embodiment of the present invention further provides an atmosphere real-time navigation monitoring method based on the internet of things, including the following steps:
s1, acquiring data, enabling the navigation equipment 100 to walk along a preset route, enabling a sampling pump 1022 to extract air in the environment through a sampling pipe 1021 and guide the air into an analysis instrument 1023, monitoring the air quality and pollution condition in the route in real time, and enabling an induction module 103 to induce the temperature, humidity, wind speed and direction of the air and the geographical positioning of the navigation equipment 100;
s2, uploading data, wherein the driving module 104 uploads the data transmitted by the sampling module 102 and the sensing module 103 to the Internet of things platform 200 through the communication module 105 after time and space alignment conversion is carried out on the data, and the central controller 101 temporarily stores the data to be uploaded under the conditions that the communication module 105 is in a weak network or disconnected;
s3, the data analysis and analysis module 202 receives data uploaded by the navigation equipment 100, the navigation equipment 100 is positioned and marked on a monitoring map in a map database 2011 in real time according to the data of the positioning unit 1033, the source tracing unit 2021 calls temperature, humidity, wind speed and wind direction data of the current point position of the navigation equipment 100 for the data exceeding a preset standard value, a pollution source direction and a pollutant emission interval are determined, a pollution source emission enterprise is judged according to the position of the pollution enterprise in an enterprise information database 2012, and an alarm unit 2022 generates alarm information and sends the alarm information to the pollution enterprise manager client 300;
s4, early warning of pollution, namely simulating a pollutant discharge diffusion path by the warning unit 2022 according to the production scale of a pollution source discharge enterprise and the wind speed and direction information, and sending prompt information to the client 300 of a sensitive point location manager existing in the diffusion path;
and S5, data arrangement is carried out, and after the operation of the navigation equipment 100 is finished, the report unit 2023 generates a visual report for the data in the navigation monitoring process, and the visual report is imported into the monitoring database 2013 for filing and storage for fine management of the atmospheric environment.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (8)
1. An atmosphere real-time navigation monitoring system based on the Internet of things is characterized by comprising navigation equipment, an Internet of things platform and a client,
the air navigation equipment comprises a central controller, a sampling module, an induction module, a driving module and a communication module, wherein the sampling module and the induction module are electrically connected with the driving module, the driving module and the communication module are electrically connected with the central controller, the central controller is used for starting and stopping control and operation parameter setting of a sampling induction instrument, the sampling module is used for online analysis of an air sample, the induction module is used for inducing external environment parameters of the air navigation equipment, the driving module is used for format conversion among data, and the communication module comprises a wireless gateway and a wired port and is used for transmitting data on the air navigation equipment to the Internet of things platform in real time;
the Internet of things platform comprises a storage module, an analysis module and a management module, wherein the storage module is used for storing data analysis reference information and analysis results, the analysis module is used for analyzing data acquired by the navigation equipment, tracing pollution sources and triggering alarm notifications, and the management module is used for managing the authority of each client;
the client is in communication connection with the Internet of things platform, and can subscribe to check the navigation sampling analysis data according to different authorities and receive alarm information.
2. The real-time atmosphere sailing monitoring system based on the Internet of things is characterized in that the sampling module comprises a sampling pipe, a sampling pump and an analysis instrument, one end of the sampling pipe extends to the outer side of the sailing equipment, the other end of the sampling pipe is communicated with the inlet end of the sampling pump, the outlet end of the sampling pump is communicated with the input end of the analysis instrument, and the analysis instrument is used for analyzing the concentration of VOCs, the concentration of particulate matters and the concentration of nitrogen oxides in sample air.
3. The real-time atmospheric air navigation monitoring system based on the Internet of things is characterized in that the sensing modules are arranged on the outer side of the navigation equipment, each sensing module comprises a temperature and humidity unit, a wind speed and direction unit and a positioning unit, the temperature and humidity unit is used for sensing temperature and humidity data of the outside air of the navigation equipment, the wind speed and direction unit is used for sensing the flow speed and the flow direction of the outside air of the navigation equipment, and the positioning unit is based on a Beidou GPS positioning system and used for sensing the real-time geographic position of the navigation equipment.
4. The real-time atmosphere sailing monitoring system based on the Internet of things as claimed in claim 1, wherein the storage module comprises a map database, an enterprise information database and a monitoring database, the map database is used for storing three-dimensional map data and geographic information of a working region, the enterprise information database is used for storing names, positioning, production scale and pollution emission information of polluted enterprises, and the monitoring database is used for storing daily sampling and operation and maintenance data uploaded by the sailing equipment.
5. The real-time atmosphere sailing monitoring system based on the Internet of things as claimed in claim 4, wherein the map database is connected with a geographic background to update map data periodically, and the enterprise information database is connected with an environment-friendly online platform to update the recorded pollution emission enterprise information in real time.
6. The real-time atmospheric air navigation monitoring system based on the Internet of things is characterized in that the analysis module comprises a source tracing unit, an alarm unit and a report unit, wherein the source tracing unit is used for dynamically defining a pollution source emission interval according to air pollution concentration, wind speed and wind direction and a navigation route, and then judging a pollution source emission enterprise according to the position of the pollution enterprise, the alarm unit is used for simulating a pollution diffusion path according to the air pollution concentration and the environmental condition and sending an alarm prompt to a sensitive point in the diffusion path, and the report unit is used for generating a curve diagram report according to the real-time analysis result of the air pollution in the navigation process.
7. The real-time atmosphere sailing monitoring system based on the Internet of things as claimed in claim 1, wherein the management module includes an information entry unit and a port management unit, the information entry unit is used for registering initial user identities, the port management unit is used for allocating user authorities, and the user identities are connected with the client sides, so that users with different identities can look up different types of monitoring information.
8. An atmosphere real-time navigation monitoring method based on the Internet of things is applied to the atmosphere real-time navigation monitoring system based on the Internet of things and disclosed by any one of claims 1-7, and is characterized by comprising the following steps:
s1, data acquisition, wherein the navigation equipment walks along a preset route, a sampling pump extracts air in an environment through a sampling pipe and introduces the air into an analysis instrument, the atmospheric quality and pollution condition in the route are monitored in real time, and meanwhile, an induction module induces the temperature, humidity, wind speed and wind direction of the air and the geographical positioning of the navigation equipment;
s2, uploading data, wherein the drive module uploads the data transmitted by the sampling module and the sensing module to an Internet of things platform through a communication module after time and space alignment conversion is carried out on the data, and the central controller temporarily stores the data to be uploaded under the condition that the communication module is weak and disconnected;
s3, a data analysis and analysis module receives data uploaded by the navigation equipment, the navigation equipment is positioned and marked on a monitoring map in a map database in real time according to the data of a positioning unit, a tracing unit is used for calling temperature, humidity, wind speed and wind direction data of the current point position of the navigation equipment for the data exceeding a preset standard value, a pollution source direction and a pollutant emission interval are determined, then a pollution source emission enterprise is judged according to the position of the pollution enterprise in an enterprise information database, and an alarm unit generates alarm information and sends the alarm information to a pollution enterprise manager client;
s4, performing pollution early warning, namely simulating a pollutant discharge diffusion path by an alarm unit according to the production scale of a pollution source discharge enterprise and the wind speed and direction information, and sending prompt information to a client of a sensitive point location manager existing in the diffusion path;
and S5, data arrangement, wherein after the operation of the navigation equipment is finished, a report unit generates a visual report for the data in the navigation monitoring process, and the visual report is imported into a monitoring database for filing and storage for fine management of atmospheric environment.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116661361A (en) * | 2023-07-31 | 2023-08-29 | 青岛海舟科技有限公司 | Intelligent monitoring system of navigation type intelligent monitoring platform |
| CN117310101A (en) * | 2023-10-31 | 2023-12-29 | 湖北凌创环保有限公司 | Atmospheric pollutant concentration monitoring system |
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2023
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116661361A (en) * | 2023-07-31 | 2023-08-29 | 青岛海舟科技有限公司 | Intelligent monitoring system of navigation type intelligent monitoring platform |
| CN117310101A (en) * | 2023-10-31 | 2023-12-29 | 湖北凌创环保有限公司 | Atmospheric pollutant concentration monitoring system |
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