CN111914167A - Environment monitoring platform based on big data technology - Google Patents
Environment monitoring platform based on big data technology Download PDFInfo
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- CN111914167A CN111914167A CN202010637969.5A CN202010637969A CN111914167A CN 111914167 A CN111914167 A CN 111914167A CN 202010637969 A CN202010637969 A CN 202010637969A CN 111914167 A CN111914167 A CN 111914167A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 67
- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 230000007613 environmental effect Effects 0.000 claims abstract description 56
- 238000012216 screening Methods 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 24
- 230000002159 abnormal effect Effects 0.000 claims abstract description 21
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 6
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 6
- 238000003915 air pollution Methods 0.000 description 6
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- 238000000034 method Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
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- AYFVYJQAPQTCCC-GBXIJSLDSA-N L-threonine Chemical compound C[C@@H](O)[C@H](N)C(O)=O AYFVYJQAPQTCCC-GBXIJSLDSA-N 0.000 description 1
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Abstract
The invention provides an environment monitoring platform based on big data technology, which comprises an environment monitoring module, a data screening module, a big data processing module and a display module, wherein the environment monitoring module is used for monitoring the environment of a user; the environment monitoring module is used for acquiring environment data of a road and transmitting the environment data to the data screening module; the data screening module is used for screening the environmental data, deleting the data which do not meet preset screening conditions so as to obtain the screened environmental data, and sending the screened environmental data to the big data processing module; the big data processing module is used for receiving and judging whether the screened environmental data are abnormal or not and transmitting a judgment result to the data display module; and the data display module is used for receiving and displaying the judgment result. According to the invention, the environmental data of the road is acquired in real time by the environmental module and is transmitted to the big data processing module for processing, so that whether the environmental data is abnormal or not is judged, and the real-time monitoring of the road environment is realized.
Description
Technical Field
The invention relates to the field of monitoring, in particular to an environment monitoring platform based on a big data technology.
Background
Along with the development of cities, automobiles in the cities are more and more, the air pollution of the roads caused by automobile exhaust is more and more serious, and the body health of pedestrians is greatly influenced when the pedestrians pass through the roads with serious air pollution. In the prior art, the road environment is mainly monitored by moving an air quality monitoring vehicle, but the method cannot obtain real-time road environment data, so that places with serious air pollution in roads cannot be found in time.
Disclosure of Invention
Aiming at the problems, the invention provides an environment monitoring platform based on big data technology, which comprises an environment monitoring module, a data screening module, a big data processing module and a display module;
the environment monitoring module is used for acquiring environment data of a road and transmitting the environment data to the data screening module;
the data screening module is used for screening the environmental data, deleting the data which do not meet preset screening conditions so as to obtain the screened environmental data, and sending the screened environmental data to the big data processing module;
the big data processing module is used for receiving and judging whether the screened environmental data are abnormal or not and transmitting a judgment result to the data display module;
and the data display module is used for receiving and displaying the judgment result.
Preferably, the preset screening conditions include:
the value of the environmental data is within a preset screening interval.
Preferably, the determining whether the filtered environmental data is abnormal includes:
and comparing the screened environmental data with a preset judgment threshold value so as to judge whether the screened environmental data is abnormal, if the screened environmental data is greater than the judgment threshold value, judging that the screened environmental data is abnormal, otherwise, judging that the screened environmental data is normal.
The invention has the beneficial effects that:
according to the invention, the environmental data of the road is acquired in real time by the environmental module and transmitted to the big data processing module for processing, so that whether the environmental data is abnormal or not is judged, the real-time monitoring of the road environment is realized, the method is favorable for finding out the place with serious air pollution in the road in time, and is favorable for relevant departments to further process the place with serious air pollution, and the method can remind pedestrians of paying attention to make protection in time, so that the health of the pedestrians is protected.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of an environment monitoring platform based on big data technology according to the present invention.
Reference numerals:
the system comprises an environment monitoring module 1, a data screening module 2, a big data processing module 3 and a display module 4.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the environment monitoring platform based on big data technology of the present invention includes an environment monitoring module 1, a data screening module 2, a big data processing module 3, and a display module 4;
the environment monitoring module 1 is used for acquiring environment data of a road and transmitting the environment data to the data screening module 2;
the data screening module 2 is used for screening the environmental data, deleting the data which do not meet the preset screening condition so as to obtain the screened environmental data, and sending the screened environmental data to the big data processing module 3;
the big data processing module 3 is used for receiving and judging whether the screened environmental data are abnormal or not, and transmitting the judgment result to the data display module 4;
and the data display module 4 is used for receiving and displaying the judgment result.
According to the embodiment of the invention, the environmental data of the road is acquired in real time by the environmental module and is transmitted to the big data processing module 3 for processing, so that whether the environmental data is abnormal or not is judged, the real-time monitoring of the road environment is realized, the place with serious air pollution in the road can be found in time, the place with serious pollution can be further processed by related departments, the pedestrians can be reminded to pay attention to the protection in time, and the health of the pedestrians is protected.
In one embodiment, the environment monitoring module 1 includes monitoring nodes and collection nodes, which are disposed in each monitoring area of a road, the monitoring nodes are configured to acquire environment data of the road and transmit the environment data to the collection nodes, and the collection nodes are configured to collect the environment data and transmit the environment data to the data screening module 2.
In one embodiment, the preset screening condition includes:
the value of the environmental data is within a preset screening interval.
According to the embodiment of the invention, the data which do not meet the screening condition are deleted, so that the big data processing module 3 is prevented from processing some abnormal data which exceed the screening interval, and the speed of processing the road environment data is further increased. Thereby improving the speed of identifying heavily polluted places in the road environment.
In one embodiment, the determining whether the filtered environmental data is abnormal includes:
and comparing the screened environmental data with a preset judgment threshold value so as to judge whether the screened environmental data is abnormal, if the screened environmental data is greater than the judgment threshold value, judging that the screened environmental data is abnormal, otherwise, judging that the screened environmental data is normal.
In one embodiment, the display module 4 includes a display unit and a prompt unit;
the display unit is used for displaying the judgment result, and the prompt unit is used for prompting a user using the environment monitoring platform based on the big data technology when the judgment result is that the screened environment data is abnormal.
In one embodiment, the big data processing module 3 comprises a storage unit, a judgment unit and a management unit;
the storage unit is used for receiving and storing the environment data;
the judging unit is used for acquiring the environmental data from the storage unit, judging whether the screened environmental data is abnormal or not and transmitting a judgment result to the data display module 4;
the management unit is used for managing the environment data stored in the storage unit, and the management comprises the following steps: and querying the environment data according to query conditions input by a user of the environment monitoring platform based on the big data technology.
In one embodiment, the monitoring nodes comprise a temperature sensor, a humidity sensor, a PM2.5 sensor, a carbon monoxide sensor;
the temperature sensor is used for acquiring the temperature of a monitoring area;
the humidity sensor is used for acquiring the humidity of a monitoring area;
the PM2.5 sensor is used for acquiring a PM2.5 parameter of a monitoring area;
the carbon monoxide sensor is used for acquiring the carbon monoxide concentration of the monitoring area.
In one embodiment, the monitoring node is configured to acquire environmental data of a road and transmit the environmental data to the aggregation node, and includes:
a monitoring node scans whether a sink node exists in a communication range of the monitoring node, and if so, the monitoring node directly sends the environmental data to the sink node;
otherwise, the monitoring node selects a node with the highest forwarding index from the neighbor nodes, and transmits the environmental data to the collection node in a multi-hop mode through the forwarding of the environmental data by the monitoring node;
the forwarding index is calculated by the following formula:
in the formula, alpha and beta represent preset weight coefficients; α + β + ═ 1; frai、tdeiRespectively representing the fault index of the ith node in the neighbor nodes, the delay index between the ith node and the monitoring node, bt representing the standard transmission distance, wk representing the preset attenuation coefficient, ineiInitial energy representing the ith node, nweiRepresenting the residual energy of the ith node;
in the formula, tliRepresenting an ideal single-hop communication time, ts, between the monitoring node and the ith of its neighbor nodesiRepresenting the actual single-hop communication time between the monitoring node and the ith node in the neighbor nodes, where thre represents the error threshold of the communication time, and g represents a preset basic fault index; sgn is a sign function;
max () represents the larger value of the two parameters in brackets, tdthre represents the preset ideal network delay, the monitoring node and the neighbor node communicate in a data packet mode, and NiIndicates the total number of data packets received by the ith neighbor node of the monitoring node in a preset time interval, ti，jRepresents the time, ma, taken by the ith neighbor node of the monitoring node to receive the jth data packet in the time intervaliRepresents the maximum time, mi, taken by the ith neighbor node to receive a single packet during the time intervaliRepresenting the shortest time it takes for the ith neighbor node to receive a single packet within the time interval.
According to the embodiment of the invention, when the monitoring node selects the neighbor nodes for forwarding the environmental data, the fault coefficients, the energy conditions and the delay conditions of the neighbor nodes are fully considered, and the nodes with better comprehensive forwarding capability can be selected from the neighbor nodes for forwarding the environmental data, so that the problems of low data transmission stability and low communication speed caused by selecting the nodes for forwarding the data of the monitoring node only by considering the energy of the nodes in the prior art are avoided.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (7)
1. An environment monitoring platform based on big data technology is characterized by comprising an environment monitoring module, a data screening module, a big data processing module and a display module;
the environment monitoring module is used for acquiring environment data of a road and transmitting the environment data to the data screening module;
the data screening module is used for screening the environmental data, deleting the data which do not meet preset screening conditions so as to obtain the screened environmental data, and sending the screened environmental data to the big data processing module;
the big data processing module is used for receiving and judging whether the screened environmental data are abnormal or not and transmitting a judgment result to the data display module;
and the data display module is used for receiving and displaying the judgment result.
2. The environment monitoring platform based on big data technology as claimed in claim 1, wherein the environment monitoring module includes a monitoring node and a collection node, the monitoring node and the collection node are disposed in each monitoring area of the road, the monitoring node is configured to obtain environment data of the road and transmit the environment data to the collection node, and the collection node is configured to collect the environment data and transmit the environment data to the data screening module.
3. The environment monitoring platform based on big data technology as claimed in claim 1, wherein the preset screening conditions include:
the value of the environmental data is within a preset screening interval.
4. The environment monitoring platform based on big data technology according to claim 1, wherein the determining whether the filtered environment data is abnormal includes:
and comparing the screened environmental data with a preset judgment threshold value so as to judge whether the screened environmental data is abnormal, if the screened environmental data is greater than the judgment threshold value, judging that the screened environmental data is abnormal, otherwise, judging that the screened environmental data is normal.
5. The environment monitoring platform based on big data technology as claimed in claim 1, wherein the display module comprises a display unit and a prompt unit;
the display unit is used for displaying the judgment result, and the prompt unit is used for prompting a user using the environment monitoring platform based on the big data technology when the judgment result is that the screened environment data is abnormal.
6. The environment monitoring platform based on big data technology according to claim 1, wherein the big data processing module comprises a storage unit, a judgment unit, and a management unit;
the storage unit is used for receiving and storing the environment data;
the judging unit is used for acquiring the environmental data from the storage unit, judging whether the screened environmental data is abnormal or not and transmitting a judgment result to the data display module;
the management unit is used for managing the environment data stored in the storage unit, and the management comprises the following steps: and querying the environment data according to query conditions input by a user of the environment monitoring platform based on the big data technology.
7. The environment monitoring platform based on big data technology according to claim 2, characterized in that the monitoring nodes comprise a temperature sensor, a humidity sensor, a PM2.5 sensor, a carbon monoxide sensor;
the temperature sensor is used for acquiring temperature data of a monitoring area;
the humidity sensor is used for acquiring humidity data of a monitoring area;
the PM2.5 sensor is used for acquiring a PM2.5 parameter of a monitoring area;
the carbon monoxide sensor is used for acquiring the carbon monoxide concentration of the monitoring area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010637969.5A CN111914167A (en) | 2020-07-03 | 2020-07-03 | Environment monitoring platform based on big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010637969.5A CN111914167A (en) | 2020-07-03 | 2020-07-03 | Environment monitoring platform based on big data technology |
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| CN111914167A true CN111914167A (en) | 2020-11-10 |
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| CN202010637969.5A Withdrawn CN111914167A (en) | 2020-07-03 | 2020-07-03 | Environment monitoring platform based on big data technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051330A (en) * | 2021-04-13 | 2021-06-29 | 福州外语外贸学院 | Real-time environment monitoring method and device based on big data and computer equipment |
| CN113691954A (en) * | 2021-08-24 | 2021-11-23 | 宁夏百川电力股份有限公司 | Comprehensive energy consumption management system based on cloud computing |
-
2020
- 2020-07-03 CN CN202010637969.5A patent/CN111914167A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051330A (en) * | 2021-04-13 | 2021-06-29 | 福州外语外贸学院 | Real-time environment monitoring method and device based on big data and computer equipment |
| CN113691954A (en) * | 2021-08-24 | 2021-11-23 | 宁夏百川电力股份有限公司 | Comprehensive energy consumption management system based on cloud computing |
| CN113691954B (en) * | 2021-08-24 | 2022-04-22 | 宁夏百川电力股份有限公司 | Comprehensive energy consumption management system based on cloud computing |
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