CN110532214B - Environment monitoring equipment based on big data - Google Patents
Environment monitoring equipment based on big data Download PDFInfo
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- CN110532214B CN110532214B CN201910793963.4A CN201910793963A CN110532214B CN 110532214 B CN110532214 B CN 110532214B CN 201910793963 A CN201910793963 A CN 201910793963A CN 110532214 B CN110532214 B CN 110532214B
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Abstract
The invention provides an environment monitoring device based on big data, which directly uploads the environment data which is larger than the highest preset threshold value or smaller than the lowest preset threshold value to a supervision platform through a transmission unit, and sends the environment data with the average value between the highest preset average value and the lowest preset average value to a big data center; the environmental data with average value larger than the highest preset average value or smaller than the lowest preset average value is sent to the supervision platform and the big data center, so that the supervision platform is guaranteed to receive sudden abnormal environmental data and environmental data early-warned in a short period of time at the first time, and a large amount of environmental data can be uploaded to the big data center, and the big data center can analyze the big data by utilizing the environmental data. The environment monitoring equipment is beneficial to the supervision refinement and the environment decision science.
Description
Technical Field
The invention relates to environment monitoring equipment, in particular to environment monitoring equipment based on big data.
Background
The big data is strong in application and development situation in various industries, breaks through the subject barriers and the industry boundaries continuously, promotes high-quality resources in various fields to be efficiently collected, and particularly has been widely applied in industries such as finance, medical treatment and the like. The environment is the basis of human survival, and the environment management concept and management mode are changed, so that the environment management concept and management mode are also required to be promoted to have great influence by means of the strength of big data, and a more scientific and effective treatment scheme is explored.
Environmental governance is related to national lives, so improving environmental quality has become a hard indicator of government assessment performance in all places, and these assessments require data to speak. At present, governments at all levels have urgent demands for the construction of environmental big data, but the environmental informatization development stage of China is in the later period of exploration and starting, and has not entered the high-speed development stage, and has a certain problem in terms of data, and has not been fully developed in the application level of big data.
How to provide big data-based environment monitoring equipment for realizing supervision refinement and environment decision science is a technical problem to be solved at present.
Disclosure of Invention
The invention aims to provide the big data-based environment monitoring equipment capable of realizing supervision refinement and environment decision science. In order to achieve the object, the technical scheme of the invention is as follows:
the environment monitoring equipment based on big data is connected with a plurality of acquisition nodes, the acquisition nodes are distributed in a monitoring area, the acquisition nodes are used for acquiring environment data, the monitoring equipment is connected with a big data center, and the monitoring equipment is also connected with a supervision platform; it is characterized in that the method comprises the steps of,
the monitoring equipment comprises an analysis unit, a decision unit, a transmission unit, a perception unit and a storage unit,
the sensing unit receives environmental data from each acquisition node at a preset frequency; the environmental data classification may be divided by region, nature, and object;
the analysis unit is used for analyzing the environmental data uploaded by each acquisition node, and if the environmental data is between the lowest preset threshold value and the highest preset threshold value, the analysis unit stores the environmental data to the storage unit in the form of a FIFO data stack; if the environmental data is larger than the highest preset threshold value or smaller than the lowest preset threshold value, the analysis unit sends a trigger signal to the decision unit;
and after receiving the trigger signal sent by the analysis unit, the decision unit compares the environmental data by a comparison analysis method, and directly uploads the environmental data which is larger than the highest preset threshold value or smaller than the lowest preset threshold value to the supervision platform through the transmission unit.
The decision unit reads the environmental data stored in the storage unit in a preset period, calculates the average value of all the environmental data stored in the preset period, and if the average value is between the lowest preset average value and the highest preset average value, the decision unit uploads the environmental data read in the preset period to the big data center through the transmission unit; and if the average value is larger than the highest preset average value or smaller than the lowest preset average value, the decision unit sends the environmental data read in the preset period to the big data center through the transmission unit, and sends the environmental data read in the preset period and the average value thereof to the supervision platform.
Preferably, the big data based environmental monitoring device further comprises a support unit for providing the decision unit with a strategy for reading environmental data and/or calculating an average value.
Preferably, the big data based environment monitoring device further comprises a data stack unit, wherein the data stack unit is used for temporarily storing the data stack passing through the FIFO as a temporary storage data unit.
Preferably, the lowest preset threshold, the highest preset threshold, the lowest preset average value and the highest preset average value are all set by the supervision platform, and under special conditions, manual control can be performed to ensure the correct rationality of the data value.
Preferably, the special condition refers to that under the condition that the monitoring platform fails, manual data setting can be performed to ensure normal circulation of data.
Preferably, the big data center comprises a big data storage module and a big data analysis module, the data storage module stores the environmental data sent by the monitoring module, and the big data analysis module analyzes the big data of the environmental data when the quantity of the environmental data reaches the preset quantity requirement and feeds back the analysis result to the monitoring platform.
Preferably, the large data center is an SQL database.
Preferably, the storage unit comprises a plurality of FIFO data stacks, and each FIFO data stack corresponds to each collection node one by one.
The invention has the beneficial effects that after the decision unit of the environment monitoring equipment receives the trigger signal sent by the analysis unit, the environment data which is larger than the highest preset threshold value or smaller than the lowest preset threshold value is directly uploaded to the supervision platform through the transmission unit. The decision unit reads the environmental data stored in the storage unit in a preset period, calculates the average value of all the environmental data stored in the preset period, and if the average value is between the lowest preset average value and the highest preset average value, the decision unit uploads the environmental data read in the preset period to the big data center through the transmission unit; if the average value is larger than the highest preset average value or smaller than the lowest preset average value, the decision unit sends the environmental data read in a preset period to the big data center through the transmission unit, so that the supervision platform is guaranteed to receive sudden abnormal environmental data and environmental data early-warning in a short period for the first time, and a large amount of environmental data can be uploaded to the big data center, and the big data center can analyze the big data by utilizing the environmental data. The environment monitoring equipment is beneficial to the supervision refinement and the environment decision science.
Drawings
FIG. 1 is a schematic diagram of a cloud platform based environmental monitoring system.
Detailed Description
As shown in fig. 1, an environmental monitoring device based on big data, the monitoring device is connected with a plurality of collection nodes, the collection nodes are distributed in a monitoring area, the collection nodes are used for collecting the environmental data, the monitoring device is connected with a big data center, and the monitoring device is further connected with a supervision platform.
The monitoring equipment comprises an analysis unit, a decision unit, a transmission unit, a perception unit and a storage unit,
the sensing unit receives environmental data from each acquisition node at a preset frequency; the environmental data classification may be divided by region, nature, and object;
the analysis unit is used for analyzing the environmental data uploaded by each acquisition node, and if the environmental data is between the lowest preset threshold value and the highest preset threshold value, the analysis unit stores the environmental data to the storage unit in the form of a FIFO data stack; if the environmental data is larger than the highest preset threshold value or smaller than the lowest preset threshold value, the analysis unit sends a trigger signal to the decision unit;
after receiving the trigger signal sent by the analysis unit, the decision unit compares the environmental data by a comparison analysis method, and the environmental data which is larger than the highest preset threshold value or smaller than the lowest preset threshold value is directly uploaded to the supervision platform by the transmission unit so as to monitor the abnormal environmental data.
The decision unit reads the environmental data stored in the storage unit in a preset period, calculates the average value of all the environmental data stored in the preset period, and if the average value is between the lowest preset average value and the highest preset average value, the decision unit uploads the environmental data read in the preset period to the big data center through the transmission unit so that the big data center can analyze the big data by using the environmental data; if the average value is larger than the highest preset average value or smaller than the lowest preset average value, the decision unit sends the environmental data read in the preset period to the big data center through the transmission unit so that the big data center can analyze the big data by utilizing the environmental data, and sends the environmental data read in the preset period and the average value thereof to the supervision platform, so that the supervision platform is ensured to receive the sudden abnormal environmental data and the environmental data early-warned in a short period in the first time.
As a preferred embodiment, the big data based environmental monitoring device further comprises a support unit for providing the decision unit with a strategy for reading environmental data and/or calculating averages, the strategy comprising a period for reading environmental data, which data to read and which data to calculate averages, etc., the support unit being modifiable according to the actual need.
As a preferred embodiment, the big data based environment monitoring device further comprises a data stack unit, wherein the data stack unit is used for storing the data stack passing through the FIFO as a temporary storage data unit.
As a preferred embodiment, the lowest preset threshold, the highest preset threshold, the lowest preset average value and the highest preset average value are all set by the supervision platform, and under special conditions, manual manipulation can be performed to ensure the correct rationality of the data values.
As a preferred embodiment, the special condition refers to that under the condition that the supervision platform fails, in order to ensure the normal circulation of data, manual data setting can be performed, so as to avoid the system paralysis caused by the failure of the supervision platform.
As a preferred embodiment, the big data center includes a big data storage module and a big data analysis module, the data storage module stores the environmental data sent by the monitoring module, and the big data analysis module performs big data analysis on the environmental data when the number of the environmental data reaches a preset number requirement, and feeds back an analysis result to the monitoring platform.
As a preferred embodiment, the big data center is an SQL database, SQL (Structured Query Language) is a database language with multiple functions of data manipulation, data definition and the like, and the language has the characteristic of interactivity, so that great convenience can be provided for users, and the database management system should make full use of the SQL language to improve the working quality and efficiency of the computer application system. The SQL language can be independently applied to the terminal, and can also be used as a sub-language to provide effective assistance for other programming.
The SQL Server database includes Microsoft SQL Server and Sybase SQL Server sub databases, and whether the database can operate normally is directly related to the operation safety of the whole computer system.
As a preferred embodiment, the storage unit includes a plurality of FIFO data stacks, each FIFO data stack corresponds to each collecting node one by one, and data collected from each collecting node can be put into the corresponding FIFO data stack one by one, so that the data is stored in order, and the call is convenient.
The above embodiments are only for understanding the technical solutions of the present invention, and should not be construed as limiting the scope of the patent claims. It should be noted that it is within the scope of the present invention for a person skilled in the art to make modifications without departing from the concept of the present invention.
Claims (8)
1. The environment monitoring equipment based on big data is connected with a plurality of acquisition nodes, the acquisition nodes are distributed in a monitoring area, the acquisition nodes are used for acquiring environment data, the monitoring equipment is connected with a big data center, and the monitoring equipment is also connected with a supervision platform; it is characterized in that the method comprises the steps of,
the monitoring equipment comprises an analysis unit, a decision unit, a transmission unit, a perception unit and a storage unit,
the sensing unit receives environmental data from each acquisition node at a preset frequency; the environmental data classification may be divided by region, nature, and object;
the analysis unit is used for analyzing the environmental data uploaded by each acquisition node, and if the environmental data is between the lowest preset threshold value and the highest preset threshold value, the analysis unit stores the environmental data to the storage unit in the form of a FIFO data stack; if the environmental data is larger than the highest preset threshold value or smaller than the lowest preset threshold value, the analysis unit sends a trigger signal to the decision unit;
after receiving the trigger signal sent by the analysis unit, the decision unit compares the environmental data by a comparison analysis method, and directly uploads the environmental data which is larger than the highest preset threshold value or smaller than the lowest preset threshold value to the supervision platform through the transmission unit;
the decision unit reads the environmental data stored in the storage unit in a preset period, calculates the average value of all the environmental data stored in the preset period, and if the average value is between the lowest preset average value and the highest preset average value, the decision unit uploads the environmental data read in the preset period to the big data center through the transmission unit; and if the average value is larger than the highest preset average value or smaller than the lowest preset average value, the decision unit sends the environmental data read in the preset period to the big data center through the transmission unit, and sends the environmental data read in the preset period and the average value thereof to the supervision platform.
2. The environmental monitoring device of claim 1, further comprising a support unit for providing the decision unit with a strategy to read environmental data and/or calculate an average value.
3. The environmental monitoring device of claim 1, comprising a data stack unit configured to store the data stack through the FIFO as a temporary store data unit.
4. The environmental monitoring device of claim 2, wherein the lowest preset threshold, the highest preset threshold, the lowest preset average, and the highest preset average are all set by the supervisory platform, and in special cases, can be manually controlled to ensure the correct rationality of the data values.
5. The environmental monitoring device of claim 4, wherein the special condition is that in case of failure of the monitoring platform, manual data setting is performed to ensure normal circulation of data.
6. The environmental monitoring device according to any one of claims 1 to 3, wherein the big data center comprises a big data storage module and a big data analysis module, the data storage module stores environmental data sent by the monitoring device, and the big data analysis module performs big data analysis on the environmental data when the number of the environmental data reaches a preset number requirement and feeds back an analysis result to the monitoring platform.
7. The environmental monitoring device of claim 4, wherein the large data center is an SQL database.
8. The environmental monitoring device of claim 4, wherein the storage unit comprises a plurality of FIFO data stacks, each FIFO data stack being in one-to-one correspondence with each collection node.
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| WO2017099540A1 (en) * | 2015-12-11 | 2017-06-15 | 대우조선해양 주식회사 | Integrated environmental regulation management monitoring system and method therefor |
| CN108982792A (en) * | 2018-06-05 | 2018-12-11 | 北京蓝尊科技有限公司 | A kind of ECOLOGICAL ENVIRONMENTAL MONITORING supervisory systems |
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