CN112327977A - Smart city environment management system and method based on Internet of things - Google Patents
Smart city environment management system and method based on Internet of things Download PDFInfo
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Abstract
The invention discloses an Internet of things-based smart city environment management system which comprises an environment monitoring terminal, a cloud platform smart center, a cloud platform data center and an environment regulation and control terminal. The method and the device perform principal component analysis on a plurality of data types exceeding the optimal environment threshold range in the environment data, select a plurality of data types having the greatest influence on the environment to be processed in sequence, avoid mutual conflict among the data types while regulating and controlling the environment data to the optimal threshold range, perform principal component analysis on the plurality of data types, perform simultaneous processing and analysis on a plurality of factors influencing the environment, and effectively improve the regulation and control efficiency of the environment.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a smart city environment management system and method based on the Internet of things.
Background
The smart city realizes comprehensive and thorough perception, broadband ubiquitous interconnection and intelligent integration application and sustainable innovation characterized by user innovation, open innovation, public innovation and collaborative innovation through the application of new-generation information technologies such as internet of things infrastructure, cloud computing infrastructure, geospatial infrastructure and the like and tools and methods such as wiki, social network, network-based full-media integration communication terminal and the like. Along with the rise of network empire states, the fusion development of mobile technologies and the innovative democratization process, the smart city in the knowledge social environment is a high-grade form of the development of the informatization city after the digital city.
Patent CN105183050B discloses a smart city environment management method and system based on the Internet of things, and the method comprises the following steps: obtaining login position information; obtaining environment suitable information corresponding to the login position information based on the login position information; obtaining first environment information; judging whether the first environment information is matched with the environment suitable information or not, and generating a first judgment result; when the first judgment result shows that the first environment information is matched with the environment suitability information, displaying the first environment information; and when the first judgment result shows that the first environment information is not matched with the environment suitability information, carrying out environment regulation operation. By the method, adaptive control operation can be performed according to the surrounding environment, and the environmental management level of the smart city is greatly improved.
Although patent CN105183050B can carry out the adaptability control operation according to the surrounding environment, improve wisdom city environmental management level by a wide margin, but also have certain defect, often there is conflict mutually between all factors that contain in environmental information, with the humiture all surpass the suitable information of environment, need carry out humidification intensification regulation and control to the environment for the example, need spill humidification steam in to the environment through humidification device when adjusting ambient humidity, but humidification steam evaporation can further aggravate ambient temperature and reduce, and need carry out heat treatment to the environment when rising ambient temperature, but heat treatment can further aggravate ambient humidity and reduce, then temperature and humidity accommodation process conflict each other, only consider single factor to handle if simple rough violence, can greatly reduced the regulation and control efficiency of environment.
Disclosure of Invention
The invention aims to provide an Internet of things-based smart city environment management system, which aims to solve the technical problem that in the prior art, only a single factor is considered for processing when environmental influence factors are regulated, so that the regulation and control efficiency of the environment is reduced.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a smart city environment management system based on the Internet of things comprises an environment monitoring terminal, a cloud platform smart center, a cloud platform data center and an environment regulation and control terminal;
the environment monitoring terminal is used for monitoring environment data in real time and uploading the environment data to the cloud platform smart center and the cloud platform data center in real time;
the cloud platform smart center is used for receiving environmental data uploaded by the environmental monitoring terminal in real time, judging the environmental data in real time, calling a processing scheme of corresponding regulation and control environmental data stored in the cloud platform data center if the environmental data exceeds an optimal environmental threshold range, sending a regulation and control instruction for starting operation to the environmental regulation and control terminal according to the processing scheme, and sending a regulation and control instruction for stopping operation to the environmental regulation and control terminal if the environmental data uploaded by the environmental monitoring terminal received by the cloud platform smart center is restored to the optimal threshold range in the process of regulating and controlling the environmental data by the environmental regulation and control terminal;
the cloud platform data center is used for storing and regulating various processing schemes of the environment data exceeding the optimal threshold range and the environment data of each time period, and providing storage and reading functions outwards;
and the environment regulation and control terminal is used for receiving the regulation and control instruction sent by the cloud platform smart center and carrying out regulation and control operation on the environment data according to the regulation and control instruction.
As a preferred scheme of the present invention, the cloud platform smart center performs a real-time judgment on the environmental data, specifically includes:
a1, comparing the real-time environment data with an optimal environment threshold range, recording the data types exceeding the optimal environment threshold range in the real-time environment data, and acquiring a historical data set of the data types in a T time period from a cloud platform data center;
a2, preprocessing data in the historical data set, and decomposing the preprocessed historical data set into a vector form;
a3, performing principal component analysis on a historical data set in a vector form, and selecting the first p data types from the data types as principal component types influencing environmental data;
and A4, taking the real-time environment data corresponding to the first p main component types as environment data needing preferential regulation and control, and calling a corresponding processing scheme from the cloud platform data center according to the environment data needing preferential regulation and control.
In a preferred embodiment of the present invention, in a1, the T period refers to a historical data set stored in the cloud platform data center before the real-time environmental data exceeding the optimal environmental threshold range by the T period.
As a preferred aspect of the present invention, in a2, the specific steps of preprocessing the data in the historical data set and decomposing the data into a vector form are as follows:
a201, performing data cleaning on data in a historical data set, wherein the data cleaning comprises repeated item processing, missing item processing and abnormal item processing;
a202, carrying out numerical value normalization processing on data in a historical data set after data cleaning;
a203, decomposing the history data set subjected to the numerical value normalization into a vector form according to time sequence, wherein the history data set is marked as { T1:[X1,Y1,Z1],T2:[X2,Y2,Z2],T3:[X3,Y3,Z3],…,Tn:[Xn,Yn,Zn]In which T is1,T2,T3,…,TnExpressed as n times, T, formed by dividing a T periodnThe data values of the nth time, Xn, Yn and Zn respectively represent the data types X, Y and Z of the nth time in the T time period, and the historical data set in a vector form is marked as { [ X1, Y1 and Z1 { [ X1, Y1 ]]；[X2,Y2,Z2]；[X3,Y3,Z3]；…；[Xn,Yn,Zn]And the X1-Xn, the Y1-Yn and the Z1-Zn are vector columns, and the X1, the Y1 and the Z1 are vector rows.
As a preferred embodiment of the present invention, in a3, the specific steps of performing principal component analysis on a historical data set in a vector form are as follows:
a301, sequentially pairing historical data sets in a vector form { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; subtracting the mean value of each column of [ Xn, Yn, Zn ] } to perform decentralized processing;
a302, performing decentralized processing on a vector-form historical data set { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; performing covariance matrix calculation to obtain a data type characteristic covariance matrix label K [ i x i ] of the historical data set;
a303, calculating eigenvalues and eigenvectors of the data category characteristic covariance matrix K [ i x i ] through SVD (singular value decomposition), and respectively obtaining i eigenvalues and eigenvectors;
and A304, sorting the i characteristic values from large to small, and selecting the data type corresponding to the p characteristic vectors corresponding to the largest p characteristic values as the principal component type.
As a preferred scheme of the invention, the cloud platform smart center sequentially calls a processing scheme for controlling the environment data corresponding to the main component type from the cloud platform data according to the sequence of the main component type to generate a control instruction, and sends the control instruction to the environment control terminal.
As a preferred scheme of the present invention, the environment monitoring terminal includes various sensors for collecting environment data, the environment control terminal includes various terminal devices for controlling environment data, the cloud platform smart center and the cloud platform data center are established in a distributed data processing system constructed by a plurality of servers and a computing host for performing operation processing and data storage, and the environment monitoring terminal, the cloud platform smart center, the cloud platform data center and the environment control terminal perform data exchange and service interaction through network communication.
As a preferred aspect of the present invention, the present invention provides a method for managing a smart city environment based on the internet of things, comprising the steps of:
s1, the environment monitoring terminal monitors environment data in real time, uploads the environment data to the cloud platform smart center and the cloud platform data center in real time, and the step goes to S2 and S4;
s2, the cloud platform intelligent center receives the environmental data uploaded by the environmental monitoring terminal in real time and judges the environmental data in real time;
s201, when the environment data is located in the optimal environment threshold range, the cloud platform intelligent center sends a regulation and control instruction for stopping operation to an environment regulation and control terminal;
s202, when the environmental data exceed the optimal environmental threshold range, the cloud platform smart center calls a processing scheme of the corresponding regulation and control environmental data stored in the cloud platform data center, and sends a regulation and control instruction for starting operation to the environmental regulation and control terminal according to the processing scheme;
s3, go to step S5;
s4, storing the environmental data uploaded by the environmental monitoring terminal in real time by the cloud platform data center;
s5, the environment regulation and control terminal receives the regulation and control instruction sent by the cloud platform smart center, and conducts regulation and control operation on environment data according to the regulation and control instruction, and the step is turned to S1.
Compared with the prior art, the invention has the following beneficial effects:
the method and the device perform principal component analysis on a plurality of data types exceeding the optimal environment threshold range in the environment data, select a plurality of data types having the greatest influence on the environment to be processed in sequence, avoid mutual conflict among the data types while regulating and controlling the environment data to the optimal threshold range, perform principal component analysis on the plurality of data types, perform simultaneous processing and analysis on a plurality of factors influencing the environment, and effectively improve the regulation and control efficiency of the environment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a block diagram of a smart city environment management system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method of a smart city environment management system according to an embodiment of the present invention.
The reference numerals in the drawings denote the following, respectively:
1-an environment monitoring terminal; 2-cloud platform intelligent center; 3-a cloud platform data center; 4-environment regulation and control terminal.
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.
As shown in fig. 1, the invention provides an internet of things-based smart city environment management system, which comprises an environment monitoring terminal 1, a cloud platform smart center 2, a cloud platform data center 3 and an environment regulation and control terminal 4;
the environment monitoring terminal 1 is used for monitoring environment data in real time and uploading the environment data to the cloud platform smart center 2 and the cloud platform data center 3 in real time;
the cloud platform smart center 2 is used for receiving the environmental data uploaded by the environmental monitoring terminal 1 in real time, judging the environmental data in real time, calling a processing scheme of corresponding regulation and control environmental data stored in the cloud platform data center 3 if the environmental data exceeds an optimal environmental threshold range, sending a regulation and control instruction for starting operation to the environmental regulation and control terminal 4 according to the processing scheme, and sending a regulation and control instruction for stopping operation to the environmental regulation and control terminal 4 if the environmental regulation and control terminal 4 regulates and controls the environmental data in the process that the environmental data uploaded by the environmental monitoring terminal 1 and received by the cloud platform smart center 2 is restored to the optimal threshold range;
the cloud platform data center 3 is used for storing and regulating various processing schemes of the environment data exceeding the optimal threshold range and the environment data of each time period, and providing storage and reading functions for the environment data;
and the environment regulation and control terminal 4 is used for receiving the regulation and control instruction sent by the cloud platform smart center 2 and carrying out regulation and control operation on the environment data according to the regulation and control instruction.
The data types of the environmental data include, but are not limited to, temperature, humidity and pollutants, and the environmental data are specific values of the temperature, the humidity and the pollutants monitored by the environmental monitoring terminal 1.
The method comprises the following specific steps of judging environmental data in real time by the cloud platform smart center 2:
a1, comparing the real-time environment data with the optimal environment threshold range, recording the data types exceeding the optimal environment threshold range in the real-time environment data, and acquiring a historical data set of the data types in the T time period from the cloud platform data center 3;
a2, preprocessing data in the historical data set, and decomposing the preprocessed historical data set into a vector form;
a3, performing principal component analysis on a historical data set in a vector form, and selecting the first p data types from the data types as principal component types influencing environmental data;
and A4, taking the real-time environment data corresponding to the first p main component types as environment data needing preferential regulation and control, and calling a corresponding processing scheme from the cloud platform data center 3 according to the environment data needing preferential regulation and control.
In a1, the T time period refers to a historical data set stored in the cloud platform data center 3 before the real-time environmental data exceeding the optimal environmental threshold range by the T time period.
The T time period can be set in actual use, the environmental data in the historical data set in the T time period has time sequence characteristics, main component types which are main influence factors causing the environmental data to exceed the optimal environmental threshold range can be analyzed through the main components, the influence degrees of the main component types are sorted, and the data types with larger influence degrees are processed preferentially.
In a2, the specific steps of preprocessing the data in the historical data set and decomposing the data into vector form are as follows:
a201, data cleaning is carried out on data in a historical data set, wherein the data cleaning comprises repeated item processing, missing item processing and abnormal item processing;
repeating the treatment: traversing a historical data set, deleting all repeated items in the historical data set at all times until one data type only corresponds to one data at one time, and ensuring that all data times have uniqueness;
and (3) missing item treatment: all data types with missing items in the historical data set are extracted independently, and data of all data types at the moment corresponding to the missing items are deleted;
abnormal item processing: and all the data types with abnormal items in the historical data set are extracted independently, and the data types with abnormal items are deleted.
A202, carrying out numerical value normalization processing on data in a historical data set after data cleaning;
the environmental data corresponding to various data types are not consistent, the range of the environmental data of the data types is from dozens to tens of thousands, and the subsequent principal component analysis is directly carried out by using the original data, which can cause the result to have errors, so that the normalization processing is needed.
And mapping the original environment data with larger difference into a [0,1] range, and if the data type is X, the maximum value of the environment data in the data type in the T time period is Xmax, and the minimum value is Xmin, marking the mapped data type as X1 ═ X-Xmin)/(Xmax-Xmin).
A203, decomposing the history data set subjected to the numerical value normalization into a vector form according to time sequence, wherein the history data set is marked as { T1:[X1,Y1,Z1],T2:[X2,Y2,Z2],T3:[X3,Y3,Z3],…,Tn:[Xn,Yn,Zn]In which T is1,T2,T3,…,TnExpressed as n times, T, formed by dividing a T periodnThe data values of the nth time, Xn, Yn and Zn respectively represent the data types X, Y and Z of the nth time in the T time period, and the historical data set in a vector form is marked as { [ X1, Y1 and Z1 { [ X1, Y1 ]]；[X2,Y2,Z2]；[X3,Y3,Z3]；…；[Xn,Yn,Zn]And the X1-Xn, the Y1-Yn and the Z1-Zn are vector columns, and the X1, the Y1 and the Z1 are vector rows.
X, Y and Z correspond to temperature, humidity and pollutants, and are synchronously added or deleted when the temperature, humidity and pollutants of the data types are added or deleted, and the data values of the temperature, humidity and pollutants at the same moment are taken as a vector.
In a3, the specific steps of principal component analysis on a historical data set in a vector form are as follows:
a301, sequentially pairing historical data sets in a vector form { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; subtracting the mean value of each column of [ Xn, Yn, Zn ] } to perform decentralized processing;
a302, performing decentralized processing on a vector-form historical data set { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; performing covariance matrix calculation to obtain a data type characteristic covariance matrix label K [ i x i ] of the historical data set, wherein i is the same as the vector column number in the historical data set in a vector form;
a303, calculating eigenvalues and eigenvectors of the data category characteristic covariance matrix K [ i x i ] through SVD (singular value decomposition), and respectively obtaining i eigenvalues and eigenvectors;
and A304, sorting the i characteristic values from large to small, and selecting the data type corresponding to the p characteristic vectors corresponding to the largest p characteristic values as the principal component type.
The p value is less than or equal to the i value, the selection of the p value can be chosen according to computing hardware, if the performance of a server and a computing host in the distributed processing system is good, a larger p value can be chosen, and otherwise, a smaller p value can be chosen;
the p main component types can contain main factors influencing the environment, so that the environment data corresponding to the p main component types are preferentially regulated and controlled to cause a chain reaction to cause synchronous change of the environment data of other data types so as to recover to the optimal environment threshold range, the environment data corresponding to each data type is prevented from being regulated and controlled, the regulation and control time is effectively shortened, and mutual conflict between regulation and control of each data type is avoided.
The cloud platform smart center 2 sequentially calls the processing scheme of the environment data corresponding to the regulation and control principal component types from the cloud platform data according to the ordering of the principal component types to generate a regulation and control instruction, and sends the regulation and control instruction to the environment regulation and control terminal 4.
The data types before the main component types are sorted are higher in the degree of influence on the environment, the more priority is given to processing, the environment monitoring terminal 1 collects the environment data in real time in the process of sequentially regulating and controlling the environment data by the environment regulation and control terminal 4, when the environment data is recovered to the optimal environment threshold range in one of the main component types, the subsequent data types in the main component types are stopped being regulated and controlled, the regulation and control time is further saved, and the regulation and control efficiency is improved.
Environmental monitoring terminal 1 contains all kinds of sensors that carry out the collection to environmental data, wherein the sensor includes but not limited to temperature sensor, humidity transducer and pollutant sensor, the data type that the sensor corresponds the environmental data of gathering is temperature, humidity and pollutant, environment regulation and control terminal 4 includes all kinds of terminal equipment of adjusting the environmental data, terminal equipment and data type one-to-one, including temperature regulation equipment, humidity regulation equipment and pollutant adjusting device, can add or subtract the data type of regulation and control according to the environment regulation needs in the in-service use, corresponding sensor and terminal equipment add or subtract in step.
The cloud platform smart center 2 and the cloud platform data center 3 are established in a distributed data processing system formed by a plurality of servers and a computing host to perform operation processing and data storage, and the environment monitoring terminal 1, the cloud platform smart center 2, the cloud platform data center 3 and the environment regulation and control terminal 4 perform data exchange and service interaction through network communication.
As shown in fig. 2, based on the structure of the smart city environment management system of the internet of things, the invention provides a method, which includes the following steps:
s1, the environment monitoring terminal monitors environment data in real time, uploads the environment data to the cloud platform smart center and the cloud platform data center in real time, and the step goes to S2 and S4;
s2, the cloud platform intelligent center receives the environmental data uploaded by the environmental monitoring terminal in real time and judges the environmental data in real time;
s201, when the environment data is located in the optimal environment threshold range, the cloud platform intelligent center sends a regulation and control instruction for stopping operation to an environment regulation and control terminal;
s202, when the environmental data exceed the optimal environmental threshold range, the cloud platform smart center calls a processing scheme of the corresponding regulation and control environmental data stored in the cloud platform data center, and sends a regulation and control instruction for starting operation to the environmental regulation and control terminal according to the processing scheme;
s3, go to step S5;
s4, storing the environmental data uploaded by the environmental monitoring terminal in real time by the cloud platform data center;
s5, the environment regulation and control terminal receives the regulation and control instruction sent by the cloud platform smart center, and conducts regulation and control operation on environment data according to the regulation and control instruction, and the step is turned to S1.
The method and the device perform principal component analysis on a plurality of data types exceeding the optimal environment threshold range in the environment data, select a plurality of data types having the greatest influence on the environment to be processed in sequence, avoid mutual conflict among the data types while regulating and controlling the environment data to the optimal threshold range, perform principal component analysis on the plurality of data types, perform simultaneous processing and analysis on a plurality of factors influencing the environment, and effectively improve the regulation and control efficiency of the environment.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (8)
1. The utility model provides a wisdom city environmental management system based on thing networking which characterized in that: the system comprises an environment monitoring terminal (1), a cloud platform smart center (2), a cloud platform data center (3) and an environment regulation and control terminal (4);
the environment monitoring terminal (1) is used for monitoring environment data in real time and uploading the environment data to the cloud platform smart center (2) and the cloud platform data center (3) in real time;
the cloud platform smart center (2) is used for receiving environmental data uploaded by the environmental monitoring terminal (1) in real time, judging the environmental data in real time, calling a processing scheme of corresponding regulated environmental data stored in the cloud platform data center (3) if the environmental data exceeds an optimal environmental threshold range, sending a regulation and control instruction for starting operation to the environmental regulation and control terminal (4) according to the processing scheme, recovering the environmental data uploaded by the environmental monitoring terminal (1) and received by the cloud platform smart center (2) to the optimal threshold range in the process of regulating and controlling the environmental data by the environmental regulation and control terminal (4), and sending a regulation and control instruction for stopping operation to the environmental regulation and control terminal (4);
the cloud platform data center (3) is used for storing and regulating various processing schemes of the environment data exceeding the optimal threshold range and the environment data of each time period, and providing storage and reading functions outwards;
and the environment regulation and control terminal (4) is used for receiving the regulation and control instruction sent by the cloud platform smart center (2) and carrying out regulation and control operation on the environment data according to the regulation and control instruction.
2. The smart city environment management system based on internet of things as claimed in claim 1, wherein: the cloud platform smart center (2) carries out real-time judgment on the environmental data and comprises the following specific steps:
a1, comparing the real-time environment data with an optimal environment threshold range, recording the data types exceeding the optimal environment threshold range in the real-time environment data, and acquiring a historical data set of the data types in a T time period from a cloud platform data center (3);
a2, preprocessing data in the historical data set, and decomposing the preprocessed historical data set into a vector form;
a3, performing principal component analysis on a historical data set in a vector form, and selecting the first p data types from the data types as principal component types influencing environmental data;
a4, taking the real-time environment data corresponding to the first p main component types as environment data needing preferential regulation and control, and calling a corresponding processing scheme from the cloud platform data center (3) according to the environment data needing preferential regulation and control.
3. The smart city environment management system based on internet of things as claimed in claim 2, wherein: in the step a1, the T time period refers to a historical data set stored in the cloud platform data center (3) in the time period T before the real-time environment data exceeding the optimal environment threshold range.
4. The smart city environment management system based on internet of things as claimed in claim 3, wherein: in the step a2, the specific steps of preprocessing the data in the historical data set and decomposing the data into vector form are as follows:
a201, performing data cleaning on data in a historical data set, wherein the data cleaning comprises repeated item processing, missing item processing and abnormal item processing;
a202, carrying out numerical value normalization processing on data in a historical data set after data cleaning;
a203, decomposing the history data set subjected to the numerical value normalization into a vector form according to time sequence, wherein the history data set is marked as { T1:[X1,Y1,Z1],T2:[X2,Y2,Z2],T3:[X3,Y3,Z3],…,Tn:[Xn,Yn,Zn]In which T is1,T2,T3,…,TnExpressed as n times, T, formed by dividing a T periodnThe data values of the nth time, Xn, Yn and Zn respectively represent the data types X, Y and Z of the nth time in the T time period, and the historical data set in a vector form is marked as { [ X1, Y1 and Z1 { [ X1, Y1 ]]；[X2,Y2,Z2]；[X3,Y3,Z3]；…；[Xn,Yn,Zn]And the X1-Xn, the Y1-Yn and the Z1-Zn are vector columns, and the X1, the Y1 and the Z1 are vector rows.
5. The smart city environment management system based on internet of things as claimed in claim 4, wherein: in the step a3, the specific steps of performing principal component analysis on a historical data set in a vector form are as follows:
a301, sequentially pairing historical data sets in a vector form { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; subtracting the mean value of each column of [ Xn, Yn, Zn ] } to perform decentralized processing;
a302, performing decentralized processing on a vector-form historical data set { [ X1, Y1, Z1 ]; [ X2, Y2, Z2 ]; [ X3, Y3, Z3 ]; …, respectively; performing covariance matrix calculation to obtain a data type characteristic covariance matrix label K [ i x i ] of the historical data set;
a303, calculating eigenvalues and eigenvectors of the data category characteristic covariance matrix K [ i x i ] through SVD (singular value decomposition), and respectively obtaining i eigenvalues and eigenvectors;
and A304, sorting the i characteristic values from large to small, and selecting the data type corresponding to the p characteristic vectors corresponding to the largest p characteristic values as the principal component type.
6. The Internet of things-based smart city environment management system according to claim 5, wherein the cloud platform smart center (2) sequentially retrieves a processing scheme for regulating and controlling environment data corresponding to the main component types from cloud platform data according to the sequence of the main component types to generate a regulation and control instruction, and sends the regulation and control instruction to the environment regulation and control terminal (4).
7. The smart city environment management system based on internet of things as claimed in claim 1, wherein: environmental monitoring terminal (1) contains all kinds of sensors that carry out the collection to environmental data, environment regulation and control terminal (4) include all kinds of terminal equipment who adjusts environmental data, operation processing and data storage are carried out in the distributed data processing system who is formed by a plurality of servers and calculation host to cloud platform wisdom center (2) and cloud platform data center (3) establishment, environmental monitoring terminal (1), cloud platform wisdom center (2), cloud platform data center (3) and environment regulation and control terminal (4) carry out data exchange and business interaction through network communication.
8. A method for a smart city environment management system based on internet of things according to any one of claims 1-7, comprising the steps of:
s1, the environment monitoring terminal monitors environment data in real time, uploads the environment data to the cloud platform smart center and the cloud platform data center in real time, and the step goes to S2 and S4;
s2, the cloud platform intelligent center receives the environmental data uploaded by the environmental monitoring terminal in real time and judges the environmental data in real time;
s201, when the environment data is located in the optimal environment threshold range, the cloud platform intelligent center sends a regulation and control instruction for stopping operation to an environment regulation and control terminal;
s202, when the environmental data exceed the optimal environmental threshold range, the cloud platform smart center calls a processing scheme of the corresponding regulation and control environmental data stored in the cloud platform data center, and sends a regulation and control instruction for starting operation to the environmental regulation and control terminal according to the processing scheme;
s3, go to step S5;
s4, storing the environmental data uploaded by the environmental monitoring terminal in real time by the cloud platform data center;
s5, the environment regulation and control terminal receives the regulation and control instruction sent by the cloud platform smart center, and conducts regulation and control operation on environment data according to the regulation and control instruction, and the step is turned to S1.
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