CN112446536A - Ecological environment monitoring gridding system based on big data architecture and monitoring method thereof - Google Patents
Ecological environment monitoring gridding system based on big data architecture and monitoring method thereof Download PDFInfo
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Abstract
The invention belongs to the technical field of environmental monitoring, and discloses an ecological environment monitoring gridding system based on a big data framework and a monitoring method thereof. The cloud server is used for storing data, so that the storage capacity and the storage stability of the data are improved, the viewing of historical data is facilitated, and the data change analysis is facilitated; the data can be effectively simplified by primarily screening the collected data, the data transmission burden is reduced, the transmission efficiency and the subsequent processing efficiency are improved, and the reaction speed of the system is increased.
Description
Technical Field
The invention belongs to the technical field of environmental monitoring, and particularly relates to an ecological environment monitoring gridding system based on a big data framework and a monitoring method thereof.
Background
At present: with the development of industrial production, the environment on which human beings rely for survival is suffering from unprecedented challenges, and the air breathed by us is increasingly polluted due to gaseous pollutants such as sulfur oxides and nitrogen oxides discharged into the air during the production of us. The industrial sewage is discharged in large quantity at will, and the water resource is seriously polluted. The urban noise pollution is increasingly serious and the like, which brings great harm to human health and ecological environment.
The existing ecological environment monitoring system can only collect and monitor the environmental information of a specific position generally, and can not synchronously monitor the environmental information of a plurality of different positions simultaneously. And the existing system data can not be stored and analyzed in mass, so that the analysis and extraction of the historical data of the ecological environment are influenced. In addition, the existing system mainly depends on central or on-site monitoring and post-treatment, and does not respond and solve in advance or at the first time in a grid management mode, so that the treatment efficiency is reduced.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing ecological environment monitoring system can only collect and monitor the environmental information of a specific position, and cannot synchronously monitor the environmental information of a plurality of different positions.
(2) The existing ecological environment monitoring system can not respond and solve in advance or at the first time in a grid management mode, and the disposal efficiency is reduced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an ecological environment monitoring gridding system based on a big data architecture and a monitoring method thereof.
The invention is realized in this way, an ecological environment monitoring gridding system based on big data architecture, the ecological environment monitoring gridding system based on big data architecture includes:
the ZigBee communication module is connected with the environmental information detection module and is used for collecting detection data of different functional detectors at the same grid position through the ZigBee communication module;
the 5G signal communication module is connected with the environmental information detection module and used for transmitting the acquired information of the grid position to the remote information collection module through the 5G communication module;
the environment information detection module is connected with the information collection module and is used for detecting and collecting various environment information of the grid positions through the sensor groups arranged at different grid positions;
the environment information detection module includes:
the air quality detection unit is used for detecting the air quality of the grid position in real time through the air quality detector; the air humidity detection unit is used for detecting the air humidity at the grid position in real time through the air humidity detector; the water quality detection unit is used for detecting the water quality of the grid position in real time through the water quality detector; the water level detection unit is used for detecting the water depth of the grid position in real time through the water level detector; the soil humidity detection unit is used for detecting the soil humidity of the grid position in real time through the soil moisture detector; the soil pH value detection unit is used for detecting the soil pH value of the grid position in real time through a soil pH value detector; the illumination detection unit is used for detecting the illumination time and the illumination intensity information of the grid position in real time through the illumination detector;
the information collection module is connected with the central processing and control module and used for receiving the environmental information collected by the environmental information detection module, processing the environmental information and then sending the processed environmental information to the central processing and control module;
the state indicating module is connected with the central processing and control module and is used for monitoring information interaction states of different grid positions and indicating monitoring results through a state indicating lamp;
the cloud server module is connected with the central processing and control module and used for storing the acquired information through a cloud server and storing and presetting the standard environment information of each grid position through constructing an environment information database;
the central processing and control module is connected with the information collection module, the state indication module, the cloud server module, the environment state evaluation module, the early warning module and the human-computer interaction module, and is used for processing the acquired environment information through the heterogeneous multi-core processor and performing coordination control on each controlled module according to a processing result and preset parameters;
the environment state evaluation module is connected with the central processing and control module and is used for comparing and identifying the processed environment information with pre-stored standard environment information in an environment information database and carrying out grade judgment and evaluation on the environment state of the grid position;
the early warning module is connected with the central processing and control module and is used for sending an alarm prompt through the man-machine interaction module when the environment information at a certain grid position is detected to be abnormal or the data interaction state at the certain grid position is detected to be abnormal by the state indicating module, and sending alarm information to the terminal equipment of a grid manager at the grid position through a wireless signal;
and the human-computer interaction module is connected with the central processing and control module and used for inputting and updating preset parameters and preset information through a human-computer interaction interface and displaying the acquired information and the evaluation result in real time.
Further, the status indication module includes:
the signal detection unit is used for continuously scanning and detecting the wireless signals sent by the environment information detection modules, receiving and analyzing the received wireless signals by data packets and extracting wireless connection parameters;
the connection state judgment unit is used for judging the data interaction state of the environment information detection modules at different grid positions according to the extracted wireless connection parameters;
and the state display unit is used for indicating the information connection state of each grid position through the indicator lamp corresponding to each grid position.
Further, the environment state evaluation module includes:
the keyword corresponding unit is used for carrying out one-to-one correspondence on the keywords of each data in the processed environment information and the keywords in the pre-stored standard environment information;
the data comparison unit is used for comparing the data corresponding to the corresponding keywords and determining whether each data in the processed environment information is in the range of the pre-stored standard environment information;
and the ranking unit is used for ranking according to the range standard of each data in the environment information in the pre-stored standard environment information.
Another objective of the present invention is to provide a monitoring method for an ecological environment monitoring grid system, where the monitoring method for an ecological environment monitoring grid system based on a big data architecture includes:
the method comprises the following steps that firstly, standard environment information of different grid positions is input in a preset mode through a human-computer interaction interface, and initialization and operation parameter setting are carried out on all modules in a system;
step two, detecting and collecting various environmental information of the grid positions by sensor groups arranged at different grid positions through an environmental information detection module, and collecting the information of each sensor group through a ZigBee communication module;
step three, the collected detection information is transmitted to a remote information collection module through a 5G signal communication module, information interaction states of different grid positions are monitored through a state indication module, and a monitoring result is indicated through a state indication lamp;
step four, the information collection module receives the environmental information collected by the environmental information detection module, preliminarily screens out the unchanged environmental data in the detection information of each grid position, and stores the unchanged environmental data in the cloud server;
comparing and identifying the environment data subjected to preliminary screening processing in the information collection module with standard environment information of each grid position in an environment information database, carrying out grade judgment and evaluation on the environment state of the grid position, and displaying the collected information and an evaluation result in real time through a human-computer interaction interface;
and step six, when detecting that the environmental information of a certain grid position is abnormal or the state indicating module detects that the data interaction state of the certain grid position is abnormal, sending an alarm prompt through the human-computer interaction module, and sending alarm information to the terminal equipment of the grid manager corresponding to the grid position through a wireless signal.
Further, in the first step, the standard environment information includes a plurality of different types of environment parameters, the environment parameter of each type corresponds to a plurality of different data ranges, and each data range corresponds to a different environment quality level.
Further, in the fourth step, when the preliminary screening processing is performed on the environment data that does not change in the detection information of each grid position, the screening processing method adopted includes:
(1) extracting characteristic information in the environmental information acquired by the environmental information detection module at each grid position, wherein the characteristic information comprises identification names of detection units in the environmental information detection module corresponding to each data;
(2) comparing the data corresponding to the extracted characteristic information with the data corresponding to the characteristic information in the environment information collected in the cloud server at the previous time;
(3) and if the comparison data is the same, deleting the corresponding data in the acquired environment information, and packaging the data in the residual environment information to realize the simplification of the data.
And further, in the fifth step, the human-computer interaction interface comprises a map interface corresponding to each grid position, and the acquired information and the evaluation result are displayed at the map interface position of the corresponding grid position.
Further, in the fifth step, the displaying the collected information and the evaluation result in real time through the human-computer interaction interface includes: the image is subjected to nonlinear correction, a color image brightness model is established, brightness information is extracted, a color image chromaticity model is established, chromaticity information is extracted, Retinex filtering is carried out on the brightness, and the new brightness is restored into the image by combining the chromaticity information for displaying.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, which includes a computer readable program for providing a user input interface to implement the monitoring method of the grid-based ecological environment monitoring system based on big data architecture when the computer program product is executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the monitoring method of the grid system for monitoring an ecological environment based on a big data architecture.
By combining all the technical schemes, the invention has the advantages and positive effects that:
the environment information detection module can detect the environment information of different grid positions through a plurality of sensor groups, can synchronously monitor the environment information of a plurality of different positions at the same time, is convenient for unified coordination management, improves the disposal efficiency of environmental problems, and stores data through the cloud server, thereby improving the storage capacity and storage stability of the data, facilitating the viewing of historical data and the analysis of data change; the data can be effectively simplified by primarily screening the collected data, the data transmission burden is reduced, the transmission efficiency and the subsequent processing efficiency are improved, and the reaction speed of the system is increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a monitoring method of an ecological environment monitoring gridding system based on a big data architecture according to an embodiment of the present invention.
FIG. 2 is a flow chart of a screening process provided by an embodiment of the present invention.
FIG. 3 is a block diagram of a grid system for monitoring an ecological environment based on a big data architecture according to an embodiment of the present invention;
in fig. 3: 1. a ZigBee communication module; 2. a 5G signal communication module; 3. an environmental information detection module; 4. an information collection module; 5. a status indication module; 6. a cloud server module; 7. a central processing and control module; 8. an environmental state evaluation module; 9. an early warning module; 10. and a man-machine interaction module.
Fig. 4 is a block diagram of an environment information detection module according to an embodiment of the present invention;
in fig. 4: 31. an air quality detection unit; 32. an air humidity detection unit; 33. a water quality detection unit; 34. a water level detection unit; 35. a soil humidity detection unit; 36. a soil pH value detection unit; 37. an illumination detection unit.
FIG. 5 is a block diagram of a status indication module according to an embodiment of the present invention;
in fig. 5: 51. a signal detection unit; 52. a connection state judgment unit; 53. and a status display unit.
FIG. 6 is a block diagram of an environment status evaluation module according to an embodiment of the present invention;
in fig. 6: 81. a keyword correspondence unit; 82. a data comparison unit; 83. a ranking unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an ecological environment monitoring gridding system based on a big data architecture and a monitoring method thereof, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the monitoring method of the grid system for monitoring an ecological environment based on a big data architecture according to the embodiment of the present invention includes:
s101, performing preset input on standard environment information of different grid positions through a human-computer interaction interface, and initializing each module in a system and setting operation parameters;
s102, detecting and collecting various environmental information of the grid positions by sensor groups arranged at different grid positions through an environmental information detection module, and collecting the information of each sensor group through a ZigBee communication module;
s103, the collected detection information is transmitted to a remote information collection module through a 5G signal communication module, information interaction states of different grid positions are monitored through a state indication module, and a monitoring result is indicated through a state indication lamp;
s104, the information collection module receives the environmental information collected by the environmental information detection module, preliminarily screens out the unchanged environmental data in the detection information of each grid position, and stores the unchanged environmental data in a cloud server;
s105, comparing and identifying the environmental data subjected to preliminary screening processing in the information collection module with the standard environmental information of each grid position in the environmental information database, carrying out grade judgment and evaluation on the environmental state of the grid position, and displaying the collected information and the evaluation result in real time through a human-computer interaction interface;
s106, when detecting that the environmental information of a certain grid position is abnormal or the state indicating module detects that the data interaction state of the certain grid position is abnormal, sending an alarm prompt through the man-machine interaction module, and sending alarm information to the terminal equipment of the grid manager corresponding to the grid position through a wireless signal.
As shown in fig. 2, in step S104 in the embodiment of the present invention, when performing preliminary screening processing on environment data that does not change in detection information of each grid position, an adopted screening processing method includes:
s201, extracting characteristic information in the environment information acquired by the environment information detection module at each grid position, wherein the characteristic information comprises identification names of detection units in the environment information detection module corresponding to each data;
s202, comparing the data corresponding to the extracted feature information with the data corresponding to the feature information in the environment information collected in the cloud server at the previous time;
and S203, if the comparison data are the same, deleting the corresponding data in the acquired environment information, and packaging the data in the rest environment information to realize the simplification of the data.
As shown in fig. 3, the grid system for monitoring an ecological environment based on a big data architecture according to an embodiment of the present invention includes:
the ZigBee communication module 1 is connected with the environmental information detection module 3 and is used for collecting detection data of different functional detectors at the same grid position through the ZigBee communication module;
the 5G signal communication module 2 is connected with the environmental information detection module 3 and is used for transmitting the acquired information of the grid position to a remote information collection module through the 5G communication module;
the environment information detection module 3 is connected with the information collection module 4 and is used for detecting and collecting various environment information of the grid positions through sensor groups arranged at different grid positions;
the information collection module 4 is connected with the central processing and control module 7 and is used for receiving the environmental information collected by the environmental information detection module, processing the environmental information and then sending the processed environmental information to the central processing and control module;
the state indicating module 5 is connected with the central processing and control module 7 and is used for monitoring information interaction states of different grid positions and indicating monitoring results through state indicating lamps;
the cloud server module 6 is connected with the central processing and control module 7 and used for storing the acquired information through a cloud server and storing and presetting the standard environment information of each grid position through constructing an environment information database;
the central processing and control module 7 is connected with the information collection module, the state indication module, the cloud server module, the environment state evaluation module, the early warning module and the human-computer interaction module, and is used for processing the acquired environment information through the heterogeneous multi-core processor and performing coordination control on each controlled module according to a processing result and preset parameters;
the environment state evaluation module 8 is connected with the central processing and control module 7 and is used for comparing and identifying the processed environment information with the pre-stored standard environment information in the environment information database and carrying out grade judgment and evaluation on the environment state of the grid position;
the early warning module 9 is connected with the central processing and control module 7 and is used for sending an alarm prompt through the human-computer interaction module when detecting that the environmental information of a certain grid position is abnormal or the data interaction state of a certain grid position is abnormal through the state indicating module, and sending alarm information to the terminal equipment of a grid manager of the grid position through a wireless signal;
and the human-computer interaction module 10 is connected with the central processing and control module 7 and is used for inputting and updating preset parameters and preset information through a human-computer interaction interface and displaying the acquired information and the evaluation result in real time.
As shown in fig. 4, the environment information detecting module 3 in the embodiment of the present invention includes:
the air quality detection unit 31 is used for detecting the air quality of the grid position in real time through the air quality detector;
the air humidity detection unit 32 is used for detecting the air humidity at the grid position in real time through the air humidity detector;
the water quality detection unit 33 is used for detecting the water quality of the grid position in real time through the water quality detector;
the water level detection unit 34 is used for detecting the water depth of the grid position in real time through the water level detector;
the soil humidity detection unit 35 is used for detecting the soil humidity of the grid position in real time through the soil moisture detector;
the soil pH value detection unit 36 is used for detecting the soil pH value of the grid position in real time through a soil pH value detector;
and the illumination detection unit 37 is used for detecting the illumination time and the illumination intensity information of the grid position in real time through the illumination detector.
As shown in fig. 5, the status indication module 5 in the embodiment of the present invention includes:
the signal detection unit 51 is used for continuously scanning and detecting the wireless signals sent by each environmental information detection module, receiving and analyzing data packets of the received wireless signals and extracting wireless connection parameters;
a connection state judgment unit 52, configured to judge, according to the extracted wireless connection parameters, data interaction states with the environment information detection modules at different grid positions;
and a state display unit 53 for indicating the information connection state of each grid position by an indicator lamp corresponding to each grid position.
As shown in fig. 6, the environment state evaluation module 8 in the embodiment of the present invention includes:
a keyword corresponding unit 81, configured to correspond keywords of each data in the processed environment information to keywords in pre-stored standard environment information one to one;
a data comparing unit 82, configured to compare data corresponding to the corresponding keyword, and determine whether each data in the processed environment information is within a range in which standard environment information is prestored;
and the ranking unit 83 is used for ranking according to the range standard of each data in the environment information in the pre-stored standard environment information.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. The big data architecture-based ecological environment monitoring gridding system is characterized by comprising the following components:
the ZigBee communication module is connected with the environmental information detection module and is used for collecting detection data of different functional detectors at the same grid position through the ZigBee communication module;
the 5G signal communication module is connected with the environmental information detection module and used for transmitting the acquired information of the grid position to the remote information collection module through the 5G communication module;
the environment information detection module is connected with the information collection module and is used for detecting and collecting various environment information of the grid positions through the sensor groups arranged at different grid positions;
the environment information detection module includes:
the air quality detection unit is used for detecting the air quality of the grid position in real time through the air quality detector; the air humidity detection unit is used for detecting the air humidity at the grid position in real time through the air humidity detector; the water quality detection unit is used for detecting the water quality of the grid position in real time through the water quality detector; the water level detection unit is used for detecting the water depth of the grid position in real time through the water level detector; the soil humidity detection unit is used for detecting the soil humidity of the grid position in real time through the soil moisture detector; the soil pH value detection unit is used for detecting the soil pH value of the grid position in real time through a soil pH value detector; the illumination detection unit is used for detecting the illumination time and the illumination intensity information of the grid position in real time through the illumination detector;
the information collection module is connected with the central processing and control module and used for receiving the environmental information collected by the environmental information detection module, processing the environmental information and then sending the processed environmental information to the central processing and control module;
the state indicating module is connected with the central processing and control module and is used for monitoring information interaction states of different grid positions and indicating monitoring results through a state indicating lamp;
the cloud server module is connected with the central processing and control module and used for storing the acquired information through a cloud server and storing and presetting the standard environment information of each grid position through constructing an environment information database;
the central processing and control module is connected with the information collection module, the state indication module, the cloud server module, the environment state evaluation module, the early warning module and the human-computer interaction module, and is used for processing the acquired environment information through the heterogeneous multi-core processor and performing coordination control on each controlled module according to a processing result and preset parameters;
the environment state evaluation module is connected with the central processing and control module and is used for comparing and identifying the processed environment information with pre-stored standard environment information in an environment information database and carrying out grade judgment and evaluation on the environment state of the grid position;
the early warning module is connected with the central processing and control module and is used for sending an alarm prompt through the man-machine interaction module when the environment information at a certain grid position is detected to be abnormal or the data interaction state at the certain grid position is detected to be abnormal by the state indicating module, and sending alarm information to the terminal equipment of a grid manager at the grid position through a wireless signal;
and the human-computer interaction module is connected with the central processing and control module and used for inputting and updating preset parameters and preset information through a human-computer interaction interface and displaying the acquired information and the evaluation result in real time.
2. The big data architecture-based ecological environment monitoring gridding system according to claim 1, wherein the status indication module comprises:
the signal detection unit is used for continuously scanning and detecting the wireless signals sent by the environment information detection modules, receiving and analyzing the received wireless signals by data packets and extracting wireless connection parameters;
the connection state judgment unit is used for judging the data interaction state of the environment information detection modules at different grid positions according to the extracted wireless connection parameters;
and the state display unit is used for indicating the information connection state of each grid position through the indicator lamp corresponding to each grid position.
3. The big data architecture-based ecological environment monitoring gridding system according to claim 1, wherein the environmental state evaluation module comprises:
the keyword corresponding unit is used for carrying out one-to-one correspondence on the keywords of each data in the processed environment information and the keywords in the pre-stored standard environment information;
the data comparison unit is used for comparing the data corresponding to the corresponding keywords and determining whether each data in the processed environment information is in the range of the pre-stored standard environment information;
and the ranking unit is used for ranking according to the range standard of each data in the environment information in the pre-stored standard environment information.
4. The monitoring method of the big data architecture based ecological environment monitoring gridding system is characterized by comprising the following steps of:
the method comprises the following steps that firstly, standard environment information of different grid positions is input in a preset mode through a human-computer interaction interface, and initialization and operation parameter setting are carried out on all modules in a system;
step two, detecting and collecting various environmental information of the grid positions by sensor groups arranged at different grid positions through an environmental information detection module, and collecting the information of each sensor group through a ZigBee communication module;
step three, the collected detection information is transmitted to a remote information collection module through a 5G signal communication module, information interaction states of different grid positions are monitored through a state indication module, and a monitoring result is indicated through a state indication lamp;
step four, the information collection module receives the environmental information collected by the environmental information detection module, preliminarily screens out the unchanged environmental data in the detection information of each grid position, and stores the unchanged environmental data in the cloud server;
comparing and identifying the environment data subjected to preliminary screening processing in the information collection module with standard environment information of each grid position in an environment information database, carrying out grade judgment and evaluation on the environment state of the grid position, and displaying the collected information and an evaluation result in real time through a human-computer interaction interface;
and step six, when detecting that the environmental information of a certain grid position is abnormal or the state indicating module detects that the data interaction state of the certain grid position is abnormal, sending an alarm prompt through the human-computer interaction module, and sending alarm information to the terminal equipment of the grid manager corresponding to the grid position through a wireless signal.
5. The monitoring method of the big data architecture-based ecological environment monitoring gridding system according to claim 4, wherein in the first step, the standard environment information includes a plurality of different types of environment parameters, each type of environment parameters corresponds to a plurality of different data ranges, and each data range corresponds to a different environment quality level.
6. The monitoring method of the grid system for monitoring the ecological environment based on the big data architecture as claimed in claim 4, wherein in the fourth step, when the environmental data that has not changed in the detection information of each grid position is primarily screened, the screening method adopted comprises:
(1) extracting characteristic information in the environmental information acquired by the environmental information detection module at each grid position, wherein the characteristic information comprises identification names of detection units in the environmental information detection module corresponding to each data;
(2) comparing the data corresponding to the extracted characteristic information with the data corresponding to the characteristic information in the environment information collected in the cloud server at the previous time;
(3) and if the comparison data is the same, deleting the corresponding data in the acquired environment information, and packaging the data in the residual environment information to realize the simplification of the data.
7. The monitoring method of the grid system for monitoring the ecological environment based on the big data architecture as claimed in claim 4, wherein in step five, the human-computer interface includes a map interface corresponding to each grid position, and the collected information and the evaluation result are displayed at the map interface position of the corresponding grid position.
8. The monitoring method of the big data architecture-based ecological environment monitoring gridding system, according to claim 4, wherein in the fifth step, the displaying the collected information and the evaluation result in real time through the human-computer interaction interface comprises: the image is subjected to nonlinear correction, a color image brightness model is established, brightness information is extracted, a color image chromaticity model is established, chromaticity information is extracted, Retinex filtering is carried out on the brightness, and the new brightness is restored into the image by combining the chromaticity information for displaying.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the monitoring method of the big data architecture based ecological environment monitoring gridding system according to any one of claims 4 to 8 when the computer program product is executed on an electronic device.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to execute the monitoring method of the grid system for monitoring an ecological environment based on big data architecture according to any one of claims 4 to 8.
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