CN113542354B - Cloud computing-based Internet of things perception total control method and system thereof - Google Patents
Cloud computing-based Internet of things perception total control method and system thereof Download PDFInfo
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Abstract
The utility model provides a thing networking perception total control method and system based on cloud calculates according to the ventilation volume and the first physical quantity value of each part, obtains the ventilation variation vector of each part in the public space with this, according to the proportional relation of the numerical value of the first physical quantity of each part and the variation of the numerical value of the ventilation volume that the numerical value of each dimension represents in ventilation variation vector, thing networking cloud computing server sends ventilation variation vector as the signal to each ventilation equipment in thing networking, realizes thing networking total control and adjusts the ventilation volume of each part to reach the effect of adjusting total first physical quantity in the public space through the ventilation volume of the ventilation equipment of control each part.
Description
Technical Field
The invention relates to the field of Internet, in particular to an Internet of things perception total control method and system based on cloud computing.
Background
The popularization of the Internet technology enables the Internet of things to be widely implemented, the Internet of things technology has important application in the aspects of indoor environment regulation and overall monitoring of buildings, and the Internet of things technology quickens the monitoring and scheduling of the Internet of things on various devices by means of the parallel distributed computing technology of the cloud computing server, so that the overall control of various devices is possible. However, the existing internet of things cloud computing technology lacks effective mutual combination for overall regulation of ventilation and first physical quantity change in a building, and is insufficient for regulating the change values of the first physical quantity and ventilation of various parts in the building on an overall level.
Disclosure of Invention
The utility model provides a thing networking perception total control method and system based on cloud calculates according to the ventilation volume and the first physical quantity value of each part, obtains the ventilation variation vector of each part in the public space with this, according to the proportional relation of the numerical value of the first physical quantity of each part and the variation of the numerical value of the ventilation volume that the numerical value of each dimension represents in ventilation variation vector, thing networking cloud computing server sends ventilation variation vector as the signal to each ventilation equipment in thing networking, realizes thing networking total control and adjusts the ventilation volume of each part to reach the effect of adjusting total first physical quantity in the public space through the ventilation volume of the ventilation equipment of control each part.
To achieve the above object, according to an aspect of the present disclosure, there is provided a cloud computing-based internet of things perception overall control method and system, the method including the steps of:
step 1, connecting ventilation equipment of each part in a public space and a sensor in the part through the Internet of things so as to acquire ventilation quantity and a first physical quantity value of each part;
step 2, receiving the acquired ventilation amounts of all the parts and the first physical quantity value through an internet of things cloud computing server;
step 3, according to the ventilation quantity and the first physical quantity value of each part, the cloud computing server of the Internet of things calculates to obtain a ventilation quantity distribution matrix and a first physical quantity value distribution matrix of each part;
step 4, calculating ventilation fluctuation vectors of all parts in the public space through the ventilation quantity distribution matrix and the first physical quantity value distribution matrix by the cloud computing server of the Internet of things;
and 5, the cloud computing server of the Internet of things transmits downlink data of the ventilation change vector to ventilation equipment of each part in the public space to control overall ventilation of each part in the public space.
Further, in step 1, the ventilation devices of each part in the public space and the sensors in the part are connected through the internet of things, so that the method for collecting the ventilation quantity and the first physical quantity value of each part comprises the following steps: in a public space, a cloud computing server at the rear end is connected with ventilation equipment of each part and sensors in the part through the Internet of things, and collects ventilation quantity and first physical quantity values of each part, wherein the cloud computing server at the rear end is the Internet of things cloud computing server, the first physical quantity value refers to any one of temperature, humidity, gas concentration, radiance and the like, the first physical quantity value refers to a temperature value, a humidity value, a gas concentration value, a radiance value and the like, the sensors are instruments for collecting the first physical quantity, the public space refers to outdoor space and indoor space of a building for daily life and social life public use of urban residents, the outdoor space comprises streets, squares, residential places, parks, stadiums or farms, forests and the like, the indoor space comprises government authorities, schools, libraries, hospitals, stations, business places, office spaces, dining places, entertainment places, hotel people and the like, the parts are all areas of the public space, and the public space is the Internet of things is the ventilation equipment formed by the sensors arranged in the public space.
Further, in step 2, the method for receiving the ventilation amounts and the first physical values of the collected parts by the cloud computing server of the internet of things includes: the cloud computing server of the Internet of things is used for storing the acquired ventilation amounts of the various parts and the first physical quantity value in a database of the cloud computing server.
Further, in step 3, according to the ventilation amounts and the first physical magnitude of each portion, the method for calculating the ventilation amount distribution matrix and the first physical magnitude distribution matrix of each portion by the cloud computing server of the internet of things includes: in the data stored by the cloud computing server of the Internet of things, the number of parts in the public space is made to be k, and the serial numbers of the parts are made to be variable i (i epsilon [1, k)]And i is a positive integer), m is the first physical value of each part, m i The first physical value of the part denoted by the number i, v is the ventilation of each part (in m 3 /h)，v i The ventilation of the part with the index i is calculated by taking the function Mis () as the offset between two values
Then there is a first physical quantity distribution vector Mi, mi representing the offset of the first physical quantity of the portion of sequence number i and the first physical quantity of the portion of all sequence numbers
M i ＝[Mis(m i ,m 1 ),Mis(m i ,m 2 ),…,Mis(m i ,m k-1 ),Mis(m i ,m k )]，
The ventilation distribution vector is Vi, and Vi represents the deviation value of the ventilation of the part with the sequence number i and the ventilation of the parts with all the sequence numbers
V i ＝[Mis(v i ,v 1 ),Mis(v i ,v 2 ),…,Mis(v i ,v k-1 ),Mis(v i ,v k )]，
The deviation of the first physical value of all parts of the sequence numbers from the other parts is thus obtained as a matrix Ma
And the deviation of the ventilation amounts of the parts of all sequence numbers from the other parts is obtained as a matrix Va,
further, the first physical quantity distribution matrix Mr is obtained by calculating Ma to remove the influence of each part and the first physical quantity distribution vector, and the process is as follows, where Mr (i) represents the ith row in Mr, and Mr (1) = [ - [ Mis (m) 1 ,m 2 )+Mis(m 1 ,m 3 )+…+Mis(m 1 ,m k-1 )+Mis(m 1 ,m k )],Mis(m 1 ,m 2 ),…,Mis(m 1 ,m k-1 ),Mis(m 1 ,m k )],
Mr(2)＝[Mis(m 2 ,m 1 ),-[Mis(m 2 ,m 1 )+Mis(m 2 ,m 3 )+…+Mis(m 2 ,m k-1 )+Mis(m 2 ,m k )],…,Mis(m 2 ,m k-1 ),Mis(m 2 ,m k )],
…,Mr(k-1)＝[Mis(m k-1 ,m 1 ),Mis(m k-1 ,m 2 ),…,-[Mis(m k-1 ,m 1 )+Mis(m k-1 ,m 2 )+…+Mis(m k-1 ,m k-2 )+Mis(m k-1 ,m k )],Mis(m k-1 ,m k )],Mr(k)＝Mis(m k ,m 1 ),Mis(m k ,m 2 ),…,Mis(m k ,m k-1 ),-[Mis(m k ,m 1 )+Mis(m k ,m 2 )+…+Mis(m k ,m k-2 )+Mis(m k ,m k-1 )].
Then there is Mr to be expressed as
The process of calculating Va to eliminate the influence of each part and the ventilation distribution vector to obtain a ventilation distribution matrix Vr is as follows, the ith row in Vr is represented by Vr (i), and Vr (1) = [ - [ Mis (v) 1 ,v 2 )+Mis(v 1 ,v 3 )+…+Mis(v 1 ,v k-1 )+Mis(v 1 ,v k )],Mis(v 1 ,v 2 ),,…,Mis(v 1 ,v k-1 ),Mis(v 1 ,v k )],Vr(2)＝[Mis(v 2 ,v 1 ),-[Mis(v 2 ,v 1 )+Mis(v 2 ,v 3 )+…+Mis(v 2 ,v k-1 )+Mis(v 2 ,v k )],…,Mis(v 2 ,v k-1 ),Mis(v 2 ,v k )],…,Vr(k-1)＝[Mis(v k-1 ,v 1 ),Mis(v k-1 ,v 2 ),…,-[Mis(v k-1 ,v 1 )+Mis(v k-1 ,v 2 )+…+Mis(v k-1 ,v k-2 )+Mis(v k-1 ,v k )],Mis(v k-1 ,v k )],Vr(k)＝Mis(v k ,v 1 ),Mis(v k ,v 2 ),…,Mis(v k ,v k-1 ),-[Mis(v k ,v 1 )+Mis(v k ,v 2 )+…+Mis(v k ,v k-2 )+Mis(v k ,v k-1 )].
Then there is Vr that can be expressed as
Further, in step 4, the cloud computing server of the internet of things calculates ventilation variation vectors of all parts in the public space by using the ventilation quantity distribution matrix and the first physical quantity distribution matrix, and the method comprises the following steps: extracting the first physical quantity value distribution matrix Mr to obtain a first physical quantity distribution vector rho in each part by using a guide matrix calculation, wherein the first physical quantity distribution vector rho in each part is
Extracting the ventilation quantity distribution matrix Vr, guiding the matrix to calculate a ventilation distribution vector beta in each part, wherein the ventilation distribution vector beta in each part is
A ventilation fluctuation vector D is obtained from the first physical quantity distribution vector in each part and the ventilation distribution vector in each part,
the ventilation fluctuation vector D represents the ratio of the value of the first physical quantity of the k parts to the variation of the value of the ventilation quantity.
Further, in step 5, the method for the cloud computing server of the internet of things to issue downlink data of the ventilation variation vector to the ventilation devices of each part in the public space to control overall ventilation of each part in the public space includes: according to the specific proportional relation of the numerical value of the first physical quantity of each part and the variable quantity of the numerical value of the ventilation quantity, which is represented by each numerical value of k dimensions in the ventilation fluctuation vector, the downlink data of the ventilation fluctuation vector refers to a control signal sent to the ventilation equipment by the cloud computing server of the internet of things, and the cloud computing server of the internet of things sends the ventilation fluctuation vector to the ventilation equipment in the internet of things as the control signal, so that the ventilation quantity of each part is regulated by the total control of the internet of things, and the effect of regulating the total first physical quantity in the public space by controlling the ventilation quantity of the ventilation equipment of each part is achieved.
The beneficial effects of the present disclosure are: the utility model provides a thing networking perception total control method and system based on cloud calculates according to the ventilation volume and the first physical quantity value of each part, obtains the ventilation variation vector of each part in the public space with this, according to the proportional relation of the numerical value of the first physical quantity of each part and the variation of the numerical value of the ventilation volume that the numerical value of each dimension represents in ventilation variation vector, thing networking cloud computing server sends ventilation variation vector as the signal to each ventilation equipment in thing networking, realizes thing networking total control and adjusts the ventilation volume of each part to reach the effect of adjusting total first physical quantity in the public space through the ventilation volume of the ventilation equipment of control each part.
Drawings
The above and other features of the present disclosure will become more apparent from the detailed description of the embodiments illustrated in the accompanying drawings, in which like reference numerals designate like or similar elements, and which, as will be apparent to those of ordinary skill in the art, are merely some examples of the present disclosure, from which other drawings may be obtained without inventive effort for the purposes of the ordinary skill in the art, wherein:
fig. 1 is a flowchart of an internet of things sensing general control method based on cloud computing;
fig. 2 is a system structure diagram of an internet of things sensing and general control system based on cloud computing.
Detailed Description
The conception, specific structure, and technical effects produced by the present disclosure will be clearly and completely described below in connection with the embodiments and the drawings to fully understand the objects, aspects, and effects of the present disclosure. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
Fig. 1 is a flowchart of an internet of things sensing and controlling method based on cloud computing according to the present disclosure, and a method for sensing and controlling internet of things according to an embodiment of the present disclosure is described below with reference to fig. 1.
The disclosure provides an Internet of things perception total control method based on cloud computing, which specifically comprises the following steps:
step 1, connecting ventilation equipment of each part in a public space and a sensor in the part through the Internet of things so as to acquire ventilation quantity and a first physical quantity value of each part;
step 2, receiving the acquired ventilation amounts of all the parts and the first physical quantity value through an internet of things cloud computing server;
step 3, according to the ventilation quantity and the first physical quantity value of each part, the cloud computing server of the Internet of things calculates to obtain a ventilation quantity distribution matrix and a first physical quantity value distribution matrix of each part;
step 4, calculating ventilation fluctuation vectors of all parts in the public space through the ventilation quantity distribution matrix and the first physical quantity value distribution matrix by the cloud computing server of the Internet of things;
and 5, the cloud computing server of the Internet of things transmits downlink data of the ventilation change vector to ventilation equipment of each part in the public space to control overall ventilation of each part in the public space.
Further, in step 1, the ventilation devices of each part in the public space and the sensors in the part are connected through the internet of things, so that the method for collecting the ventilation quantity and the first physical quantity value of each part comprises the following steps: in public space, the cloud computing server of rear end is connected with ventilation equipment of each part and the sensor in this part through the thing networking, gathers the ventilation volume and the first physical quantity value of each part, the cloud computing server of rear end is thing networking cloud computing server, wherein, first physical quantity means including temperature, humidity, gas concentration, any one of radiance, first physical quantity value means temperature value, humidity value, gas concentration value, radiance value, the sensor is the instrument that is used for gathering first physical quantity.
Further, in step 2, the method for receiving the ventilation amounts and the first physical values of the collected parts by the cloud computing server of the internet of things includes: the cloud computing server of the Internet of things is used for storing the acquired ventilation amounts of the various parts and the first physical quantity value in a database of the cloud computing server.
Further, in step 3, according to the ventilation amounts and the first physical magnitude of each portion, the method for calculating the ventilation amount distribution matrix and the first physical magnitude distribution matrix of each portion by the cloud computing server of the internet of things includes: in the data stored by the cloud computing server of the Internet of things, the number of parts in the public space is made to be k, and the serial numbers of the parts are made to be variable i (i epsilon [1, k)]And i is a positive integer), m is the first physical value of each part, m i The first physical value of the part denoted by the number i, v is the ventilation of each part (in m 3 /h)，v i The ventilation of the part with the index i is calculated by taking the function Mis () as the offset between two values
Then there is a first physical quantity distribution vector Mi, mi representing the offset of the first physical quantity of the portion of sequence number i and the first physical quantity of the portion of all sequence numbers
M i ＝[Mis(m i ,m 1 ),Mis(m i ,m 2 ),…,Mis(m i ,m k-1 ),Mis(m i ,m k )]，
The ventilation distribution vector is Vi, and Vi represents the deviation value of the ventilation of the part with the sequence number i and the ventilation of the parts with all the sequence numbers
V i ＝[Mis(v i ,v 1 ),Mis(v i ,v 2 ),…,Mis(v i ,v k-1 ),Mis(v i ,v k )]，
The deviation of the first physical value of all parts of the sequence numbers from the other parts is thus obtained as a matrix Ma
And the deviation of the ventilation amounts of the parts of all sequence numbers from the other parts is obtained as a matrix Va,
further, the first physical quantity distribution matrix Mr is obtained by calculating Ma to remove the influence of each part and the first physical quantity distribution vector, and the process is as follows, where Mr (i) represents the ith row in Mr, and Mr (1) = [ - [ Mis (m) 1 ,m 2 )+Mis(m 1 ,m 3 )+…+Mis(m 1 ,m k-1 )+Mis(m 1 ,m k )],Mis(m 1 ,m 2 ),…,Mis(m 1 ,m k-1 ),Mis(m 1 ,m k )],
Mr(2)＝[Mis(m 2 ,m 1 ),-[Mis(m 2 ,m 1 )+Mis(m 2 ,m 3 )+…+Mis(m 2 ,m k-1 )+Mis(m 2 ,m k )],…,Mis(m 2 ,m k-1 ),Mis(m 2 ,m k )],
…,Mr(k-1)＝[Mis(m k-1 ,m 1 ),Mis(m k-1 ,m 2 ),…,-[Mis(m k-1 ,m 1 )+Mis(m k-1 ,m 2 )+…+Mis(m k-1 ,m k-2 )+Mis(m k-1 ,m k )],Mis(m k-1 ,m k )],Mr(k)＝Mis(m k ,m 1 ),Mis(m k ,m 2 ),…,Mis(m k ,m k-1 ),-[Mis(m k ,m 1 )+Mis(m k ,m 2 )+…+Mis(m k ,m k-2 )+Mis(m k ,m k-1 )].
Then there is Mr to be expressed as
The process of calculating Va to eliminate the influence of each part and the ventilation distribution vector to obtain a ventilation distribution matrix Vr is as follows, the ith row in Vr is represented by Vr (i), and Vr (1) = [ - [ Mis (v) 1 ,v 2 )+Mis(v 1 ,v 3 )+…+Mis(v 1 ,v k-1 )+Mis(v 1 ,v k )],Mis(v 1 ,v 2 ),,…,Mis(v 1 ,v k-1 ),Mis(v 1 ,v k )],Vr(2)＝[Mis(v 2 ,v 1 ),-[Mis(v 2 ,v 1 )+Mis(v 2 ,v 3 )+…+Mis(v 2 ,v k-1 )+Mis(v 2 ,v k )],…,Mis(v 2 ,v k-1 ),Mis(v 2 ,v k )],…,Vr(k-1)＝[Mis(v k-1 ,v 1 ),Mis(v k-1 ,v 2 ),…,-[Mis(v k-1 ,v 1 )+Mis(v k-1 ,v 2 )+…+Mis(v k-1 ,v k-2 )+Mis(v k-1 ,v k )],Mis(v k-1 ,v k )],Vr(k)＝Mis(v k ,v 1 ),Mis(v k ,v 2 ),…,Mis(v k ,v k-1 ),-[Mis(v k ,v 1 )+Mis(v k ,v 2 )+…+Mis(v k ,v k-2 )+Mis(v k ,v k-1 )]。
Then there is Vr that can be expressed as
Further, in step 4, the cloud computing server of the internet of things calculates ventilation variation vectors of all parts in the public space by using the ventilation quantity distribution matrix and the first physical quantity distribution matrix, and the method comprises the following steps: extracting the first physical quantity value distribution matrix Mr to obtain a first physical quantity distribution vector rho in each part by using a guide matrix calculation, wherein the first physical quantity distribution vector rho in each part is
Extracting the ventilation quantity distribution matrix Vr, guiding the matrix to calculate a ventilation distribution vector beta in each part, wherein the ventilation distribution vector beta in each part is
A ventilation fluctuation vector D is obtained from the first physical quantity distribution vector in each part and the ventilation distribution vector in each part,
the ventilation fluctuation vector D represents the ratio of the value of the first physical quantity of the k parts to the variation of the value of the ventilation quantity.
Further, in step 5, the method for the cloud computing server of the internet of things to issue downlink data of the ventilation variation vector to the ventilation devices of each part in the public space to control overall ventilation of each part in the public space includes: for example, in the implementation process, the public space may be a room in a building, the corresponding part is a room in the building, according to a specific proportional relationship between the value of the first physical quantity of each room and the variable quantity of the value of the ventilation quantity expressed by the values of k dimensions in the ventilation fluctuation vector, the cloud computing server of the internet of things sends the ventilation fluctuation vector as a signal to each ventilation device in the internet of things, so as to realize the ventilation quantity of each room in the total control of the internet of things, thereby achieving the effect of regulating the total first physical quantity in the building by controlling the ventilation quantity of the ventilation devices of each room, when the k rooms in the building need to totally reduce the temperature value to μ degrees celsius, and the actual difference between the real-time temperature of each room and the target temperature μ degrees celsius needs to be measured, the temperature difference between the current temperature of each room obtained by the internet of things and the μ degrees celsius is calculated, so as to obtain M degrees celsius μ ，
M μ ＝[Mis(μ,m 1 ),Mis(μ,m 2 ),…,Mis(μ,m k-1 ),Mis(μ,m k )]，
From M μ The temperature quantity which is required to be regulated and controlled in each corresponding room in each dimension can be obtained, and then the ventilation fluctuation vector D is calculated according to the known D 1 ,d 2 ,…,d k-1 ,d k ]On the basis of the temperature quantity required to be regulated and controlled corresponding to each room, the corresponding ventilation quantity V of each room is obtained μ ，
According toTo control the ventilation of each room overall to control the temperature to mu degrees celsius, thereby making overall temperature adjustments in the building.
An embodiment of the present disclosure provides a cloud computing-based general control system for sensing of internet of things, as shown in fig. 2, which is a system configuration diagram of the cloud computing-based general control system for sensing of internet of things, where the cloud computing-based general control system for sensing of internet of things in this embodiment includes: the method comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the steps in the embodiment of the cloud computing-based internet of things sensing general control method are realized by the processor when the processor executes the computer program and used for ventilation equipment, and the ventilation equipment comprises any one or more of dust removal purification equipment, a cabinet fan, a fire fan, a centrifugal fan, a water curtain oil spraying cabinet, an air purifier, a dust exhaust fan, a fire smoke fan, an electrostatic oil smoke purifier, a centrifugal fire smoke exhaust fan, a fire cabinet type centrifugal fan, a luxury cabinet type centrifugal fan, an energy-saving environment-friendly air conditioner, a powerful exhaust fan, a C6-48 centrifugal fan, a 4-72 centrifugal fan, a pulse dust remover, an air conditioner, a cyclone dust remover, a purification tower and a single-sided single-station water curtain cabinet.
The sensing and total control system of the Internet of things based on cloud computing can be operated in computing equipment such as desktop computers, notebooks, palm computers and cloud data centers. The cloud computing-based internet of things perception master control system can comprise, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the example is merely an example of a cloud computing-based internet of things sensing and controlling system, and does not limit a method and a system for cloud computing-based internet of things sensing and controlling, and may include more or fewer components than examples, or may combine some components, or different components, for example, the cloud computing-based internet of things sensing and controlling system may further include an input/output device, a network access device, a bus, and so on.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete component gate or transistor logic devices, discrete hardware components, or the like. The general processor can be a microprocessor or any conventional processor, and the processor is a control center of the operation system of the internet of things perception and control system based on cloud computing, and various interfaces and lines are used for connecting various parts of the whole operation system of the internet of things perception and control system based on cloud computing.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the cloud computing-based internet of things perception master control system by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The utility model provides a thing networking perception total control method and system based on cloud calculates according to the ventilation volume and the first physical quantity value of each part, obtains the ventilation variation vector of each part in the building with this, according to the proportional relation of the numerical value of the first physical quantity of each part and the variation of the numerical value of the ventilation volume that the numerical value of each dimension represents in ventilation variation vector, thing networking cloud computing server sends ventilation variation vector as the signal to each ventilation equipment in the thing networking, realizes thing networking total control and adjusts the ventilation volume of each part to reach the effect of adjusting total first physical quantity in the building through the ventilation volume of the ventilation equipment of control each part.
Although the description of the present disclosure has been illustrated in considerable detail and with particularity, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the present disclosure. Furthermore, the foregoing description of the present disclosure has been presented in terms of embodiments foreseen by the inventor for the purpose of providing a enabling description for enabling the enabling description to be available, notwithstanding that insubstantial changes in the disclosure, not presently foreseen, may nonetheless represent equivalents thereto.
Claims (6)
1. The Internet of things perception general control method based on cloud computing is characterized by comprising the following steps of:
step 1, connecting ventilation equipment of each part in a public space and a sensor in the part through the Internet of things so as to acquire ventilation quantity and a first physical quantity value of each part;
step 2, receiving the acquired ventilation amounts of all the parts and the first physical quantity value through an internet of things cloud computing server;
step 3, according to the ventilation quantity and the first physical quantity value of each part, the cloud computing server of the Internet of things calculates to obtain a ventilation quantity distribution matrix and a first physical quantity value distribution matrix of each part;
step 4, calculating ventilation fluctuation vectors of all parts in the public space through the ventilation quantity distribution matrix and the first physical quantity value distribution matrix by the cloud computing server of the Internet of things;
step 5, the cloud computing server of the Internet of things transmits downlink data of ventilation change vectors to ventilation equipment of each part in the public space to control overall ventilation of each part in the public space;
in step 3, according to the ventilation amounts and the first physical magnitude of each part, the cloud computing server of the internet of things calculates a ventilation amount distribution matrix and a first physical magnitude distribution matrix of each part, wherein the method comprises the following steps: in the data stored in the cloud computing server of the Internet of things, the number of parts in the public space is made to be k, the serial numbers of the parts are made to be variable i, i epsilon [1, k)]And i is a positive integer, m is the first physical value of each part, m i A first physical value of the part with the sequence number i, v is the ventilation quantity of each part, v i The ventilation of the part representing the sequence number i, let the function Mis () be the offset between the calculated two values:
then there is a first physical quantity distribution vector of Mi, which represents the offset of the first physical quantity of the part of sequence number i from the first physical quantity of the part of all sequence numbers:
M i ＝[Mis(m i ,m 1 ),Mis(m i ,m 2 ),…,Mis(m i ,m k-1 ),Mis(m i ,m k )]，
the ventilation distribution vector is Vi, where Vi represents the deviation between the ventilation of the part with the sequence number i and the ventilation of the part with all the sequence numbers:
V i ＝[Mis(v i ,v 1 ),Mis(v i ,v 2 ),…,Mis(v i ,v k-1 ),Mis(v i ,v k )]，
deviations of the first physical values of all parts of the sequence numbers from the other parts are thus obtained as a matrix Ma:
and the deviation of the ventilation amounts of the parts of all sequence numbers from the other parts is obtained as a matrix Va,
further, the first physical quantity distribution matrix Mr is calculated by removing the influence of each portion and the first physical quantity distribution vector from Ma, and the ventilation quantity distribution matrix Vr is calculated by removing the influence of each portion and the ventilation quantity distribution vector from Va.
2. The method for sensing and controlling the total internet of things based on cloud computing according to claim 1, wherein in step 1, ventilation equipment of each part in a public space and various sensors in the part are connected through the internet of things, and the method for collecting ventilation quantity and first physical quantity value of each part comprises the following steps: in public space, cloud computing server of rear end is connected with ventilation equipment of each part and all kinds of sensors in this part through the thing networking, gathers the ventilation volume and the first physical quantity value of each part, cloud computing server of rear end is thing networking cloud computing server, wherein, first physical quantity means including temperature, humidity, gas concentration, any one or more in the radiance, first physical quantity value means temperature value, humidity value, gas concentration value, radiance value, the sensor is the instrument that is used for gathering first physical quantity.
3. The method for sensing and controlling the total internet of things based on cloud computing according to claim 1, wherein in step 2, the method for receiving the acquired ventilation amounts and the first physical values of each part through the cloud computing server of the internet of things is as follows: the parts are all areas of the public space, and the cloud computing server of the Internet of things is used for storing the acquired ventilation amounts of all the parts and the first physical quantity value in a database of the cloud computing server.
4. The method of claim 1, wherein in step 4, the cloud computing server calculates ventilation variation vectors of each part in the public space by using the ventilation quantity distribution matrix and the first physical quantity distribution matrix, and the method comprises the following steps: the first physical quantity distribution matrix Mr is extracted and the pilot matrix is calculated to obtain a first physical quantity distribution vector ρ in each part,
extracting a guide matrix from the ventilation distribution matrix Vr, and calculating to obtain ventilation distribution vectors beta in each part:
a ventilation fluctuation vector D is obtained from the first physical quantity distribution vector in each part and the ventilation distribution vector in each part,
the ventilation fluctuation vector D represents the ratio of the value of the first physical quantity of the k parts to the variation of the value of the ventilation quantity.
5. The method for controlling overall ventilation of each part in a public space by sending downlink data of ventilation variation vectors to ventilation equipment of each part in the public space by an internet of things cloud computing server in step 5 is characterized in that: according to the specific proportional relation of the numerical value of the first physical quantity of each part and the variable quantity of the numerical value of the ventilation quantity, which is represented by each numerical value of k dimensions in the ventilation fluctuation vector, the cloud computing server of the Internet of things sends the ventilation fluctuation vector to each ventilation device in the Internet of things as a signal, and the ventilation quantity of each part is regulated by the total control of the Internet of things, so that the effect of regulating the total first physical quantity in the public space by controlling the ventilation quantity of the ventilation devices of each part is achieved.
6. The utility model provides a thing networking perception total control system based on cloud calculates which characterized in that, thing networking perception total control system based on cloud includes: the system comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the processor realizes the cloud computing-based internet of things perception master control method according to any one of claims 1 to 5 when executing the computer program, and the cloud computing-based internet of things perception master control system runs in a desktop computer, a notebook computer, a palm computer and a cloud data center, and the running system comprises edge computing, the processor, the memory and a server cluster.
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