CN113687609A - Intelligent monitoring system and monitoring method for Internet of things applied to abnormal environment - Google Patents
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Abstract
The invention relates to the technical field of environmental monitoring, in particular to an intelligent monitoring system and method for an internet of things applied to an abnormal environment. The system comprises an infrastructure unit, an environment monitoring unit, a data processing unit and a function application unit; the infrastructure unit is used for providing various terminal equipment, sensors, technologies and the like supporting the operation of the system; the environment monitoring unit is used for respectively monitoring and managing each important object in the environment; the data processing unit is used for carrying out calculation analysis and other operations on the environmental state parameters involved in the monitoring process; the function application unit is used for promoting the smooth operation of the environment monitoring system by loading a plurality of function services in the system. The design of the invention can save manpower, material resources and time, and improve the integrity and accuracy of monitoring information; the technology and the method of the Internet of things can be fully utilized to construct an intelligent environment monitoring system, powerful support is provided for environment management decision making, and dynamization and refinement of environment protection management are promoted.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an intelligent monitoring system and method for an internet of things applied to an abnormal environment.
Background
The environment is closely related to the daily life of all people, and along with the development of social economy and the aggravation of human activities, the natural environment suffers damage, the environment in which human beings live suffers damage, the environment deteriorates continuously, and more abnormal environments gradually appear. For these abnormal environments, the state and changes thereof need to be monitored in time so as to respond or remedy in time. However, because the traditional manual control and measurement mode is single relatively, a large amount of manpower and material resources are consumed, the limitation of relatively narrow measurement and monitoring ranges is caused, the environmental measurement data deviation is easy to occur, most of the traditional control measurement transmission value is mainly based on analog signals, the signal distortion is easy to occur due to external interference, the monitoring data is delayed seriously, and the quality of environmental monitoring is greatly reduced. In order to further build a nationwide automatic environment monitoring system, improve the quality of environment monitoring data and enhance the comparability, accuracy and reliability of the environment monitoring data, the environment intelligent monitoring system based on the internet of things technology is particularly important.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system and a monitoring method of the Internet of things applied to an abnormal environment, so as to solve the problems in the background technology.
In order to solve the technical problems, one of the objectives of the present invention is to provide an intelligent monitoring system for internet of things applied in abnormal environment, which includes
The system comprises an infrastructure unit, an environment monitoring unit, a data processing unit and a function application unit; the infrastructure unit, the environment monitoring unit, the data processing unit and the function application unit are sequentially connected through Ethernet communication; the infrastructure unit is used for providing various terminal equipment, sensors, technologies and the like for supporting the operation of the system; the environment monitoring unit is used for respectively monitoring and managing each important object in the environment; the data processing unit is used for carrying out operations such as calculation and analysis on environmental state parameters involved in the monitoring process; the function application unit is used for promoting the smooth operation of the environment monitoring system by loading a plurality of function services in the system;
the infrastructure unit comprises a processing terminal module, a state perception module, a technical support module and a network communication module;
the environment monitoring unit comprises an air monitoring module, a hydrological monitoring module, a water quality monitoring module and a soil monitoring module;
the data processing unit comprises an acquisition and screening module, a data uploading module, a comparison and analysis module and a classification and storage module;
the function application unit comprises a monitoring management module, a state display module, a protection regulation module and a management decision module.
As a further improvement of the technical solution, the processing terminal module, the state sensing module and the technical support module are sequentially connected through ethernet communication; the processing terminal module is used for respectively managing each processor, state adjusting equipment and the like in the access system; the state perception module is used for detecting and transmitting environment state data through intelligent sensors deployed at all positions in a monitored environment area; the technical support module is used for loading various intelligent technologies to perfect the operation function of the system; the network communication module is used for establishing channels for signal access and data transmission among all layers of the system.
The processor terminal device includes, but is not limited to, a computer, a data acquisition device, a display, a mobile terminal, and the like.
The intelligent sensor comprises but is not limited to a temperature and humidity sensor, a water level meter, an air detector, a water quality detector, an air pressure meter and the like; environmental condition adjustment terminals include, but are not limited to, fans, atomizers, alarms, and the like.
The intelligent technology includes, but is not limited to, a cloud database, a wireless transmission technology, a remote control technology, and the like.
The network communication technology includes, but is not limited to, a wired network, a local area network, wireless WiFi, data traffic, bluetooth, Bigzee, and the like.
As a further improvement of the technical scheme, the air monitoring module, the hydrological monitoring module, the water quality monitoring module and the soil monitoring module run in parallel; the air monitoring module is used for monitoring the air quality through a plurality of detector devices arranged in the ambient air; the hydrological monitoring module is used for monitoring hydrological changes through various detection instruments arranged in environmental hydrology; the water quality monitoring module is used for monitoring the water quality through various detection instruments arranged in rivers, lakes and seas in the environmental region; the soil monitoring module is used for monitoring the soil quality condition through a plurality of detecting instruments arranged in the environmental soil.
As a further improvement of the technical scheme, a signal output end of the collecting and screening module is connected with a signal input end of the data uploading module, and a signal output end of the data uploading module is connected with a signal input end of the comparative analysis module; the signal output end of the comparative analysis module is connected with the signal input end of the classification storage module; the acquisition and screening module is used for acquiring environmental state parameter values in real time through sensors with sensing functions and cleaning and screening invalid data; the data uploading module is used for uploading data acquired by the terminal to the processor through a wireless transmission technology; the comparison analysis module is used for comparing and analyzing the data acquired in real time with historical data and preset parameters in a database; the classification storage module is used for classifying and summarizing the data according to a specific standard and respectively storing the data into corresponding folders.
As a further improvement of the technical scheme, the acquisition and screening module adopts an entropy algorithm of information quantity, and a calculation formula of the acquisition and screening module is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Represents the probability of the i-th state occurring, and h (x) is the amount of information needed to remove uncertainty, in bits (bits).
As a further improvement of the technical solution, in the comparative analysis module, an Allan variance algorithm is adopted for comparative testing, and the calculation steps are as follows:
setting a system sampling period as T, and continuously sampling N data points Y (i), wherein i is 1,2, 3. For any given time r ═ mT, m ═ 1, 2., N/2, the sequence of mean values y (k) for each point in the set of times is determined as:
and further calculating a difference sequence:
D(K)＝Y(K+M)-Y(K)，K＝1,2，...，N-2M+1。
as a further improvement of the technical solution, in the classification storage module, a TF-IDF matching algorithm is adopted as a method for classifying data, and the formula is as follows:
in the formula tfi,jNumber of texts in i and j, dfiN is the total number of texts in which i is contained.
As a further improvement of the technical scheme, the monitoring management module, the state display module, the protection regulation and control module and the management decision module are sequentially connected through ethernet communication and run in parallel; the monitoring management module is used for managing and distributing the monitoring process of each monitored object in the environmental state; the state display module is used for displaying monitoring data, environmental state parameters, parameter variation and other information on the display terminal in real time; the protection regulation and control module is used for remotely controlling the operation of the corresponding environment state regulation terminal according to the parameter change analysis result of the monitored object to realize state protection; and the management decision module is used for reporting the monitoring data to a corresponding environment management department in real time to serve as a basis for adjusting the environment management decision.
As a further improvement of the technical scheme, the monitoring management module comprises a parameter presetting module, a real-time monitoring module, an over-threshold feedback module and an emergency early warning module; the signal output end of the parameter presetting module is connected with the signal input end of the real-time monitoring module, the signal output end of the real-time monitoring module is connected with the signal input end of the super-threshold feedback module, and the signal output end of the super-threshold feedback module is connected with the signal input end of the emergency early warning module; the parameter presetting module is used for setting upper and lower limit thresholds of each parameter of the environmental state through the master control processor; the real-time monitoring module is used for performing a real-time monitoring function of the environmental state through a network monitoring function; the over-threshold feedback module is used for sending feedback information when the real-time monitored data reaches or exceeds a preset parameter threshold value; the emergency early warning module is used for issuing early warning information when the state parameter changes abnormally so that a user can make an emergency decision in time.
The invention also aims to provide an intelligent monitoring method of the internet of things applied to the abnormal environment, which takes the intelligent monitoring system of the internet of things applied to the abnormal environment as a control basis and comprises the following steps:
s1, regularly arranging a plurality of corresponding detecting instruments and sensors in the air, hydrology, soil and water areas of the environment to be monitored, and respectively connecting the sensors with a processing terminal through appropriate network communication technologies;
s2, the user inputs threshold parameters of various monitoring states in advance through the master control processor, and the threshold parameters and historical data of the current period are stored in the cloud to form a database;
s3, monitoring and acquiring state parameter values of corresponding objects in real time by each sensor and uploading the state parameter values to a processing center in time, and performing processing such as screening and classification on data by a processor according to a pre-programmed software program;
s4, the processor acquires preset parameters and historical data of corresponding state objects from the cloud, compares the preset parameters and the historical data with the data acquired and monitored in real time, calculates the numerical variation of each state object within a certain time interval, and displays the state data and the variation in real time;
s5, monitoring the air quality, the harmful gas content and the like of the monitored environment, the hydrologic characteristic change of the monitored environment, the water quality, the harmful substance content and the like of the monitored environment, and monitoring the soil quality, the microorganisms in the soil, the harmful substance content in the soil and the like of the monitored environment by the processor according to the detection and data comparison results;
s6, when a certain environmental state parameter exceeds a preset threshold value, the system feeds back early warning information to a user, and timely and remotely sends a working instruction to environmental state adjusting equipment arranged at a corresponding position through a processor to perform emergency protection operation;
s7, classifying and summarizing all data information, storing the data information into a database corresponding to the cloud, and regularly updating, cleaning and updating the database;
and S8, the system is connected with each environmental management service department, so that the user can conveniently check the monitoring condition, and report the environmental state condition to the corresponding management department periodically or when a larger abnormal condition occurs, so that each department can make and adjust the management decision in time.
The invention also provides an operation device of the intelligent monitoring system of the internet of things applied to the abnormal environment, which comprises a processor, a memory and a computer program stored in the memory and operated on the processor, wherein the processor is used for realizing any one of the steps of the intelligent monitoring system of the internet of things and the monitoring method applied to the abnormal environment when executing the computer program.
The fourth objective of the present invention is that the computer readable storage medium stores a computer program, and the computer program, when executed by the processor, implements any of the above steps of the intelligent monitoring system and monitoring method for internet of things applied in abnormal environment.
Compared with the prior art, the invention has the beneficial effects that:
1. the intelligent monitoring system for the internet of things is applied to the abnormal environment, the state monitoring sensors arranged at all positions of the abnormal environment are used for acquiring state data of a plurality of state objects in real time, timely uploading the state data to the processor for comparison and analysis, and simultaneously monitoring the objects such as air, hydrology, water quality, soil and the like of the environment, feeding back and early warning according to an analysis result, timely reporting the state data to a corresponding environment management department, saving manpower, material resources and time, improving the integrity and accuracy of monitoring information, and shortening the lag of information transmission, so that all departments can timely perform response and decision management, and reference basis is provided for environment protection and pollution control engineering;
2. the intelligent monitoring method of the internet of things applied to the abnormal environment can make full use of the technology and method of the internet of things, construct an intelligent environment monitoring system, sense, monitor, acquire, analyze and integrate various environmental information in real time, provide powerful support for environmental management decision-making, and promote the dynamism and refinement of environmental protection management.
Drawings
FIG. 1 is an exemplary product architecture diagram of the present invention;
FIG. 2 is a block diagram of the overall system apparatus of the present invention;
FIG. 3 is a diagram of one embodiment of a local system device architecture;
FIG. 4 is a diagram of one embodiment of a local system device architecture;
FIG. 5 is a diagram of one embodiment of a local system device architecture;
FIG. 6 is a diagram of one embodiment of a local system device architecture;
FIG. 7 is a diagram of one embodiment of a local system device architecture;
FIG. 8 is a block flow diagram of an exemplary method of the present invention;
FIG. 9 is a block diagram of an exemplary computer program product of the present invention.
In the figure:
1. a processor; 2. a display; 3. detecting a sensing terminal; 4. a database; 5. a government affair service platform; 6. a mobile terminal;
100. an infrastructure unit; 101. a processing terminal module; 102. a state sensing module; 103. a technical support module; 104. a network communication module;
200. an environment monitoring unit; 201. an air monitoring module; 202. a hydrologic monitoring module; 203. a water quality monitoring module; 204. a soil monitoring module;
300. a data processing unit; 301. collecting and screening modules; 302. a data uploading module; 303. a comparison analysis module; 304. a classification storage module;
400. a function application unit; 401. a monitoring management module; 4011. a parameter presetting module; 4012. a real-time monitoring module; 4013. a super-threshold feedback module; 4014. an emergency early warning module; 402. a status display module; 403. a protection regulation module; 404. and a management decision module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1 to 9, the present embodiment provides an intelligent monitoring system for internet of things applied in abnormal environment, which includes
The system comprises an infrastructure unit 100, an environment monitoring unit 200, a data processing unit 300 and a functional application unit 400; the infrastructure unit 100, the environment monitoring unit 200, the data processing unit 300 and the function application unit 400 are sequentially connected through ethernet communication; the infrastructure unit 100 is used for providing various terminal devices, sensors, technologies and the like supporting the operation of the system; the environment monitoring unit 200 is used for monitoring and managing each important object in the environment; the data processing unit 300 is used for performing operations such as calculation and analysis on environmental state parameters involved in the monitoring process; the function application unit 400 is used to promote smooth operation of the environment monitoring system by loading a variety of functional services in the system;
the infrastructure unit 100 comprises a processing terminal module 101, a state perception module 102, a technical support module 103 and a network communication module 104;
the environment monitoring unit 200 comprises an air monitoring module 201, a hydrological monitoring module 202, a water quality monitoring module 203 and a soil monitoring module 204;
the data processing unit 300 comprises a collecting and screening module 301, a data uploading module 302, a comparison and analysis module 303 and a classification and storage module 304;
the function application unit 400 includes a monitoring management module 401, a status display module 402, a protection regulation module 403, and a management decision module 404.
In this embodiment, the processing terminal module 101, the state sensing module 102 and the technical support module 103 are sequentially connected through ethernet communication; the processing terminal module 101 is used for respectively managing each processor, state adjusting equipment and the like in the access system; the state sensing module 102 is used for detecting and transmitting environment state data through intelligent sensors deployed at various places in a monitored environment area; the technical support module 103 is used for loading various intelligent technologies to perfect the operation function of the system; the network communication module 104 is used to establish channels for signal access and data transmission between the layers of the system.
The processor terminal device includes, but is not limited to, a computer, a data acquisition device, a display, a mobile terminal, and the like.
The intelligent sensor comprises but is not limited to a temperature and humidity sensor, a water level meter, an air detector, a water quality detector, an air pressure meter and the like; environmental condition adjustment terminals include, but are not limited to, fans, atomizers, alarms, and the like.
The intelligent technology includes, but is not limited to, a cloud database, a wireless transmission technology, a remote control technology, and the like.
The network communication technology includes, but is not limited to, a wired network, a local area network, wireless WiFi, data traffic, bluetooth, Bigzee, and the like.
In this embodiment, the air monitoring module 201, the hydrological monitoring module 202, the water quality monitoring module 203 and the soil monitoring module 204 operate in parallel; the air monitoring module 201 is used for monitoring the air quality through various detector devices arranged in the ambient air; the hydrological monitoring module 202 is used for monitoring hydrological changes through various detection instruments arranged in environmental hydrology; the water quality monitoring module 203 is used for monitoring the water quality through various detection instruments arranged in rivers, lakes and seas of the environmental region; the soil monitoring module 204 is configured to monitor soil conditions through a plurality of detection instruments disposed in the environmental soil.
In this embodiment, the signal output end of the collecting and screening module 301 is connected to the signal input end of the data uploading module 302, and the signal output end of the data uploading module 302 is connected to the signal input end of the comparison and analysis module 303; the signal output end of the comparison analysis module 303 is connected with the signal input end of the classification storage module 304; the acquisition and screening module 301 is used for acquiring environmental state parameter values in real time through sensors with sensing functions and cleaning and screening invalid data; the data uploading module 302 is configured to upload data acquired by the terminal to the processor through a wireless transmission technology; the comparison analysis module 303 is configured to compare and analyze the data acquired in real time with historical data and preset parameters in the database; the classification storage module 304 is used for classifying and summarizing the data according to a specific standard and storing the data into corresponding folders respectively.
Specifically, the collecting and screening module 301 adopts an entropy algorithm of information quantity, and a calculation formula thereof is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Representing the probability of the occurrence of the ith state, H (x) being the amount of information required to remove the uncertainty in bits (bi)t)。
Specifically, in the comparison analysis module 303, the comparison test uses an Allan variance algorithm, and the calculation steps are as follows:
setting a system sampling period as T, and continuously sampling N data points Y (i), wherein i is 1,2, 3. For any given time r ═ mT, m ═ 1, 2., N/2, the sequence of mean values y (k) for each point in the set of times is determined as:
and further calculating a difference sequence:
D(K)＝Y(K+M)-Y(K)，K＝1,2，...，N-2M+1。
specifically, in the classification storage module 304, a TF-IDF matching algorithm is used as a method for classifying data, and the formula is as follows:
in the formula tfi,jNumber of texts in i and j, dfiN is the total number of texts in which i is contained.
In this embodiment, the monitoring management module 401, the status display module 402, the protection regulation and control module 403, and the management decision module 404 are sequentially connected through ethernet communication and operate in parallel; the monitoring management module 401 is configured to manage and distribute a monitoring process of each monitored object in the environmental state; the state display module 402 is used for displaying the monitoring data, the environmental state parameters, the parameter variation and other information on the display terminal in real time; the protection regulation and control module 403 is used for remotely controlling the operation of the corresponding environment state regulation terminal according to the parameter change analysis result of the monitored object to realize state protection; the management decision module 404 is configured to report the monitoring data to the corresponding environmental management department in real time as a basis for adjusting the environmental management decision.
Further, the monitoring management module 401 includes a parameter presetting module 4011, a real-time monitoring module 4012, an exceeding threshold feedback module 4013 and an emergency early warning module 4014; a signal output end of the parameter presetting module 4011 is connected with a signal input end of the real-time monitoring module 4012, a signal output end of the real-time monitoring module 4012 is connected with a signal input end of the super-threshold feedback module 4013, and a signal output end of the super-threshold feedback module 4013 is connected with a signal input end of the emergency early warning module 4014; the parameter presetting module 4011 is configured to set an upper and lower limit threshold of each parameter of the environmental state through the master control processor; the real-time monitoring module 4012 is configured to perform a real-time monitoring function of the environmental status through a network monitoring function; the exceeding threshold feedback module 4013 is configured to send feedback information when the real-time monitored data reaches or exceeds a preset parameter threshold; the emergency early warning module 4014 is configured to issue early warning information when the state parameter changes abnormally, so that a user can make an emergency decision in time.
As shown in fig. 8, the embodiment further provides an intelligent monitoring method of the internet of things applied in the abnormal environment, and the method takes the intelligent monitoring system of the internet of things applied in the abnormal environment as a control basis, and includes the following steps:
s1, regularly arranging a plurality of corresponding detecting instruments and sensors in the air, hydrology, soil and water areas of the environment to be monitored, and respectively connecting the sensors with a processing terminal through appropriate network communication technologies;
s2, the user inputs threshold parameters of various monitoring states in advance through the master control processor, and the threshold parameters and historical data of the current period are stored in the cloud to form a database;
s3, monitoring and acquiring state parameter values of corresponding objects in real time by each sensor and uploading the state parameter values to a processing center in time, and performing processing such as screening and classification on data by a processor according to a pre-programmed software program;
s4, the processor acquires preset parameters and historical data of corresponding state objects from the cloud, compares the preset parameters and the historical data with the data acquired and monitored in real time, calculates the numerical variation of each state object within a certain time interval, and displays the state data and the variation in real time;
s5, monitoring the air quality, the harmful gas content and the like of the monitored environment, the hydrologic characteristic change of the monitored environment, the water quality, the harmful substance content and the like of the monitored environment, and monitoring the soil quality, the microorganisms in the soil, the harmful substance content in the soil and the like of the monitored environment by the processor according to the detection and data comparison results;
s6, when a certain environmental state parameter exceeds a preset threshold value, the system feeds back early warning information to a user, and timely and remotely sends a working instruction to environmental state adjusting equipment arranged at a corresponding position through a processor to perform emergency protection operation;
s7, classifying and summarizing all data information, storing the data information into a database corresponding to the cloud, and regularly updating, cleaning and updating the database;
and S8, the system is connected with each environmental management service department, so that the user can conveniently check the monitoring condition, and report the environmental state condition to the corresponding management department periodically or when a larger abnormal condition occurs, so that each department can make and adjust the management decision in time.
As shown in fig. 1, this embodiment also provides an exemplary product architecture diagram of an intelligent monitoring system of the internet of things applied to an abnormal environment, including a processor 1 and a display 2 matched with the processor 1, the processor 1 is externally connected with a plurality of detection sensing terminals 3 through wireless communication, the plurality of detection sensing terminals 3 are arranged in the air of the monitored environment, soil and water areas, the processor 1 is externally connected with a database 4 stored in the cloud end through wireless communication, the processor 1 is connected with each government affair service platform 5 and a mobile terminal 6 through network communication, the government affair service platform 5 and the mobile terminal 6 can all access the system and the database 4 through a designated application platform.
As shown in fig. 9, this embodiment further provides a schematic structural diagram of an operating apparatus of an intelligent monitoring system of the internet of things applied in an abnormal environment, where the apparatus includes a processor, a memory, and a computer program stored in the memory and running on the processor.
The processor comprises one or more processing cores, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the intelligent monitoring system and the monitoring method for the Internet of things applied to the abnormal environment are realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the invention also provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the intelligent monitoring system and the monitoring method for the internet of things applied to the abnormal environment are realized.
Optionally, the present invention further provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of the foregoing aspects applied to the intelligent monitoring system and monitoring method for the internet of things in the abnormal environment.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. Be applied to thing networking intelligent monitoring system under abnormal environment, its characterized in that: comprises that
The system comprises an infrastructure unit (100), an environment monitoring unit (200), a data processing unit (300) and a function application unit (400); the infrastructure unit (100), the environment monitoring unit (200), the data processing unit (300) and the function application unit (400) are sequentially connected through Ethernet communication; the infrastructure unit (100) is used for providing various terminal devices, sensors, technologies and the like supporting system operation; the environment monitoring unit (200) is used for respectively monitoring and managing each important object in the environment; the data processing unit (300) is used for carrying out calculation analysis and other operations on environmental state parameters involved in the monitoring process; the function application unit (400) is used for promoting the smooth operation of the environment monitoring system by loading a plurality of function services in the system;
the infrastructure unit (100) comprises a processing terminal module (101), a state perception module (102), a technical support module (103) and a network communication module (104);
the environment monitoring unit (200) comprises an air monitoring module (201), a hydrological monitoring module (202), a water quality monitoring module (203) and a soil monitoring module (204);
the data processing unit (300) comprises a collecting and screening module (301), a data uploading module (302), a comparison and analysis module (303) and a classification and storage module (304);
the function application unit (400) comprises a monitoring management module (401), a state display module (402), a protection regulation and control module (403) and a management decision module (404).
2. The intelligent monitoring system of the internet of things applied to the abnormal environment as claimed in claim 1, wherein: the processing terminal module (101), the state perception module (102) and the technical support module (103) are sequentially connected through Ethernet communication; the processing terminal module (101) is used for respectively managing each processor, state adjusting equipment and the like in the access system; the state perception module (102) is used for detecting and transmitting environment state data through intelligent sensors deployed at various places in a monitored environment area; the technical support module (103) is used for loading various intelligent technologies to perfect the operation function of the system; the network communication module (104) is used for establishing channels for signal access and data transmission among all layers of the system.
3. The intelligent monitoring system of the internet of things applied to the abnormal environment as claimed in claim 1, wherein: the air monitoring module (201), the hydrological monitoring module (202), the water quality monitoring module (203) and the soil monitoring module (204) run in parallel; the air monitoring module (201) is used for monitoring the air quality through various detector devices arranged in the ambient air; the hydrological monitoring module (202) is used for monitoring hydrological changes through various detection instruments arranged in environmental hydrology; the water quality monitoring module (203) is used for monitoring the water quality through a plurality of detection instruments arranged in rivers, lakes and seas in the environmental region; the soil monitoring module (204) is used for monitoring soil quality conditions through various detecting instruments arranged in the environmental soil.
4. The intelligent monitoring system of the internet of things applied to the abnormal environment as claimed in claim 1, wherein: the signal output end of the collecting and screening module (301) is connected with the signal input end of the data uploading module (302), and the signal output end of the data uploading module (302) is connected with the signal input end of the comparison and analysis module (303); the signal output end of the comparative analysis module (303) is connected with the signal input end of the classification storage module (304); the acquisition and screening module (301) is used for acquiring environmental state parameter values in real time through sensors with sensing functions and cleaning and screening invalid data; the data uploading module (302) is used for uploading data acquired by the terminal to the processor through a wireless transmission technology; the comparison analysis module (303) is used for comparing and analyzing the data acquired in real time with historical data and preset parameters in a database; the classification storage module (304) is used for classifying and summarizing the data according to a specific standard and storing the data into corresponding folders respectively.
5. The intelligent monitoring system of the internet of things applied to the abnormal environment according to claim 4, wherein: the acquisition and screening module (301) adopts an entropy algorithm of information quantity, and the calculation formula is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Represents the probability of the i-th state occurring, and h (x) is the amount of information needed to remove uncertainty, in bits (bits).
6. The intelligent monitoring system of the internet of things applied to the abnormal environment according to claim 5, wherein: in the comparative analysis module (303), an Allan variance algorithm is adopted for comparative testing, and the calculation steps are as follows:
setting a system sampling period as T, and continuously sampling N data points Y (i), wherein i is 1,2, 3. For any given time r ═ mT, m ═ 1, 2., N/2, the sequence of mean values y (k) for each point in the set of times is determined as:
and further calculating a difference sequence:
D(K)＝Y(K+M)-Y(K)，K＝1,2，...，N-2M+1。
7. the intelligent monitoring system of the internet of things applied to the abnormal environment according to claim 5, wherein: in the classification storage module (304), a TF-IDF matching algorithm is adopted as a method for classifying data, and the formula is as follows:
in the formula tfi,jNumber of texts in i and j, dfiN is the total number of texts in which i is contained.
8. The intelligent monitoring system of the internet of things applied to the abnormal environment as claimed in claim 1, wherein: the monitoring management module (401), the state display module (402), the protection regulation and control module (403) and the management decision module (404) are sequentially connected through Ethernet communication and run in parallel; the monitoring management module (401) is used for managing and distributing the monitoring process of each monitored object in the environmental state; the state display module (402) is used for displaying monitoring data, environmental state parameters, parameter variation and other information on a display terminal in real time; the protection regulation and control module (403) is used for remotely controlling the operation of the corresponding environment state regulation terminal according to the parameter change analysis result of the monitored object to realize state protection; the management decision module (404) is used for reporting the monitoring data to the corresponding environment management department in real time to serve as a basis for adjusting the environment management decision.
9. The intelligent monitoring system of the internet of things applied to the abnormal environment according to claim 8, wherein: the monitoring management module (401) comprises a parameter presetting module (4011), a real-time monitoring module (4012), an overthreshold feedback module (4013) and an emergency early warning module (4014); the signal output end of the parameter presetting module (4011) is connected with the signal input end of the real-time monitoring module (4012), the signal output end of the real-time monitoring module (4012) is connected with the signal input end of the super-threshold feedback module (4013), and the signal output end of the super-threshold feedback module (4013) is connected with the signal input end of the emergency early warning module (4014); the parameter presetting module (4011) is used for setting upper and lower limit thresholds of each parameter of the environmental state through the master control processor; the real-time monitoring module (4012) is used for performing a real-time monitoring function of the environmental state through a network monitoring function; the over-threshold feedback module (4013) is used for sending feedback information when the real-time monitored data reaches or exceeds a preset parameter threshold; the emergency early warning module (4014) is used for issuing early warning information when the state parameter changes abnormally so that a user can make an emergency decision in time.
10. The intelligent monitoring method of the internet of things applied to the abnormal environment is based on the intelligent monitoring system of the internet of things applied to the abnormal environment as a control basis, and is characterized in that: the method comprises the following steps:
s1, regularly arranging a plurality of corresponding detecting instruments and sensors in the air, hydrology, soil and water areas of the environment to be monitored, and respectively connecting the sensors with a processing terminal through appropriate network communication technologies;
s2, the user inputs threshold parameters of various monitoring states in advance through the master control processor, and the threshold parameters and historical data of the current period are stored in the cloud to form a database;
s3, monitoring and acquiring state parameter values of corresponding objects in real time by each sensor and uploading the state parameter values to a processing center in time, and performing processing such as screening and classification on data by a processor according to a pre-programmed software program;
s4, the processor acquires preset parameters and historical data of corresponding state objects from the cloud, compares the preset parameters and the historical data with the data acquired and monitored in real time, calculates the numerical variation of each state object within a certain time interval, and displays the state data and the variation in real time;
s5, monitoring the air quality, the harmful gas content and the like of the monitored environment, the hydrologic characteristic change of the monitored environment, the water quality, the harmful substance content and the like of the monitored environment, and monitoring the soil quality, the microorganisms in the soil, the harmful substance content in the soil and the like of the monitored environment by the processor according to the detection and data comparison results;
s6, when a certain environmental state parameter exceeds a preset threshold value, the system feeds back early warning information to a user, and timely and remotely sends a working instruction to environmental state adjusting equipment arranged at a corresponding position through a processor to perform emergency protection operation;
s7, classifying and summarizing all data information, storing the data information into a database corresponding to the cloud, and regularly updating, cleaning and updating the database;
and S8, the system is connected with each environmental management service department, so that the user can conveniently check the monitoring condition, and report the environmental state condition to the corresponding management department periodically or when a larger abnormal condition occurs, so that each department can make and adjust the management decision in time.
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