CN111780320A

CN111780320A - Indoor air ventilation system based on big data and data processing method

Info

Publication number: CN111780320A
Application number: CN202010685771.4A
Authority: CN
Inventors: 钟剑文
Original assignee: Shaoguan Chengpai New Energy Technology Co ltd
Current assignee: Shaoguan Chengpai New Energy Technology Co ltd
Priority date: 2020-07-16
Filing date: 2020-07-16
Publication date: 2020-10-16

Abstract

The invention discloses an indoor air ventilation system based on big data and a data processing method, comprising a main structure of air circulation, namely a spiral air pipe system, wherein an air inlet and an air outlet of the spiral air pipe system are connected with an automatic air supply system; the invention monitors the indoor air quality in real time, analyzes the air quality condition by combining the big data monitoring center, provides a corresponding adjusting scheme to adjust the indoor air circulation, performs air purification adjustment, predicts the air quality of the whole city and provides an overall environment report, thereby being beneficial to the control of macroscopic environment.

Description

Indoor air ventilation system based on big data and data processing method

Technical Field

The invention relates to the field of air purification, in particular to an indoor air ventilation system based on big data and a data processing method.

Background

In recent years, with the continuous advance of urbanization and industrialization, the air environment quality is seriously reduced, the pollution degree is sharply deepened, the air pollution has already seriously influenced the living environment of people and harms the physical health of people, and the air pollution treatment problem begins to be researched in the scientific and academic circles. The main three kinds of air pollution are harmful, namely global warming caused by using greenhouse effect gases such as carbon dioxide emitted by fossil fuel; secondly, ozone layer destruction in stratosphere is caused by gases such as chemical Freon and the like; thirdly, the acid gases such as sulfur dioxide are diffused widely to form acid rain.

In the face of increasingly serious air pollution problems, all countries in the world urgently need to improve the environment monitoring and environment informatization capabilities to provide required information support for relevant government departments to make environment protection decisions. With the rapid development of scientific research, information technology and data storage technology, the application of big data as a new data management mode effectively promotes the intelligent management of data, enhances the relevance among data, solves the problem of redundancy of the previous data and effectively promotes the reform of the government.

Some common household air purifiers generally only treat indoor air, the treatment space is limited and does not have the air circulation effect, and the existing air purifiers only have a single purification effect, so that the indoor air is dry or the temperature is too low, the intelligent regulation cannot be realized, the capacity of intelligently predicting air change cannot be realized, and the household air purifiers also have certain limitation on future intelligent household application; in addition, the existing indoor air ventilation system does not have a remote control function.

Disclosure of Invention

In order to overcome the defects of the prior art, the invention provides an indoor air ventilation system based on big data and a data processing method, which can effectively solve the problems in the background art.

The technical scheme adopted by the invention for solving the technical problems is as follows:

an indoor air ventilation system based on big data comprises a main structure for air circulation, namely a spiral air pipe system, wherein an air inlet and an air outlet of the spiral air pipe system are connected with an automatic air supply system, a circulation purification system is arranged in the spiral air pipe system, air monitoring nodes are arranged in the air inlets of the automatic air supply system and the circulation purification system, and the air monitoring nodes are externally connected with a big data monitoring center for data processing;

the spiral air pipe system comprises an insulating shell, the insulating shell is cylindrical and is installed to be attached to the edge of an indoor wall, an air inlet pipeline and an air outlet pipeline are installed inside the insulating shell side by side, an air inlet of the air inlet pipeline and an air outlet of the air outlet pipeline are connected to the automatic air supply system, the air outlet of the air inlet pipeline and the air inlet of the air outlet pipeline are connected between the circulating purification systems, and spiral baffles are embedded on the inner walls of the air inlet pipeline and the air outlet pipeline;

the automatic air supply system comprises a high-pressure centrifugal fan, an air inlet of the high-pressure centrifugal fan is connected with a multi-channel connecting pipe, each air inlet of the multi-channel connecting pipe is connected with a section of bendable induced draft pipe, a filter screen cover is clamped in the air inlet of the induced draft pipe, a jet nozzle is installed at the air outlet of the high-pressure centrifugal fan, and the other end of the jet nozzle is connected with an air inlet or an air outlet of the spiral air pipe system;

the air monitering node is connected with the sampling bottle including installing the collection cover in the air inlet department of induced duct, the bottom of collecting the cover, and the inside fixed mounting of sampling bottle has collection terminal, and collection terminal embeds there is wireless communication module, the inside fixed mounting of sampling bottle has the collection terminal that is used for carrying on air quality detection and data collection.

Furthermore, the circulation purification system comprises a multi-layer filter, the multi-layer filter is divided into two layers, the first layer is composed of adsorption activated carbon, and the second layer is composed of a one-way filtering membrane.

Furthermore, the exhaust side of the multi-layer filter is connected with a constant temperature humidification box, the outer side of the box body of the constant temperature humidification box is wrapped with an insulating layer, an electric heating tube is arranged between the insulating layer and the box body of the constant temperature humidification box, the electric heating tube is coiled on the four walls of the box body, and the top of the constant temperature humidification box is also provided with a sealing water inlet valve.

Further, the collection terminal is including being arranged in carrying out the sensor module that the air quality situation was gathered, and the sensor module is including detecting the sensor that is arranged in carrying out inhalable particle in the air, the sensor that is arranged in detecting sulfur oxide and nitrogen oxide in the air and be used for carrying out the sensor that organic matter such as formaldehyde detected, and the sensor module still includes temperature sensor and humidity transducer.

Furthermore, a data port of the sensor module is connected with an embedded processor for data processing, the embedded processor is composed of an STM32 series chip and an external SDRAM (synchronous dynamic random access memory), a communication port of the embedded processor is connected with a wireless signal transceiver, and the wireless signal transceiver is used for connecting a big data monitoring center and intelligent mobile equipment.

Furthermore, the big data monitoring center comprises a community server for collecting community data and a center server for collecting the whole city data, a classification database is arranged in the center server, and a network receiver and a wireless signal transceiver of the community server are used for carrying out data transmission based on a wireless communication protocol.

In addition, the invention also provides a method for processing indoor air data by the big data monitoring center, which comprises the following steps:

s101, collecting air quality data, wherein an air monitoring node detects the air quality conditions at different indoor positions, including the content of inhalable particles, sulfur oxides, nitrogen oxides, formaldehyde and other volatile toxic organic compounds, and the collected data are processed and then sent to a big data monitoring center through a wireless signal transceiver;

s102, preprocessing community data, classifying and summarizing the data acquired by each air monitoring node in the area by each community, sending an adjusting instruction to each terminal according to the condition of each node, and controlling to carry out real-time air purification;

s103, urban data are collected and encrypted, each community server uploads the classified and collected data to a central server, backup storage is carried out in a classified database of the central server, and encryption processing is carried out;

s104, analyzing and predicting big data, predicting the air quality change condition by the central server based on data mining and big data analysis, giving an air quality report, formulating an air purification scheme, and sending the air purification scheme to a user mobile equipment end;

and S105, remotely controlling the indoor environment, and sending a command to remotely control the mobile terminal bound with the monitoring node equipment according to the received air quality report and the regulation and control suggestion to adjust the air quality.

Further, the encryption processing in step S103 adopts a chaotic encryption algorithm based on the PAC neural network, and specifically includes the following steps:

s201, generating a key, wherein the central server generates a key sequence K1 by adopting a key generator;

s202, performing chaotic encryption, namely generating a ciphertext sequence C1 by a plaintext sequence m1 and a key sequence K1 based on a chaotic encryption algorithm;

s203, decrypting the ciphertext, and the visitor obtains the key sequence K1 generated by the key generator through login permission and decrypts the ciphertext sequence by adopting a chaotic decryption algorithm.

Compared with the prior art, the invention has the beneficial effects that:

(1) according to the invention, through arranging the automatic air supply system, indoor air is introduced or discharged through the high-pressure centrifugal fan, so that the exchange and circulation of indoor and outdoor air are realized, meanwhile, the air flow is accelerated through the spiral air pipe system, and the spiral baffle plate can adsorb dust on one hand and form spiral air flow on the other hand, so that the air flow pressure entering the circulating purification system is increased, and the purification effect is improved;

(2) the invention adopts the circulating purification system, firstly utilizes the multilayer filter to adsorb inhalable particles in the air and remove most impurities, and then realizes humidification and heating operations on the air through the constant-temperature humidification box, and can realize purification treatment on the air through adding the purifier, thereby improving the indoor air environment;

(3) according to the invention, the big data purification treatment is adopted, the air quality data acquisition is carried out in real time by utilizing the air monitoring node, the data classification and summarization are realized by combining the community server and the central server, and the data mining and data analysis are carried out based on the big data algorithm, so that the air quality prediction is realized, the air purification scheme is given out, and meanwhile, the intelligent terminal equipment can be connected for remote control operation; meanwhile, a big data security storage frame is added in the classification database so as to improve the security performance of the whole data.

Drawings

FIG. 1 is a schematic view of the overall structure of the present invention;

FIG. 2 is a schematic structural diagram of an air monitoring node;

FIG. 3 is a schematic structural diagram of a big data monitoring center;

FIG. 4 is a flow chart of a method for calculating big data;

fig. 5 is a flow chart of a data encryption algorithm.

Reference numbers in the figures:

1-a spiral air duct system; 2-automatic air supply system; 3-a circulating purification system; 4-air monitoring node; 5-big data monitoring center;

101-insulating thermal insulation shell; 102-an air inlet pipeline; 103-an exhaust duct; 104-a helical baffle;

201-high pressure centrifugal fan; 202-multichannel connecting tube; 203-induced draft tube; 204-a filter screen; 205-a jet nozzle;

301-a multilayer filter; 302-constant temperature humidifying box; 303-insulating and heat-insulating layer; 304-electric heating tubes; 305-sealing the inlet valve;

401-a collection hood; 402-a sample bottle; 403-acquisition terminal; 404-a wireless signal transceiver; 405-a sensor module; 406-an embedded processor;

501-community server; 502-a central server; 503-classification database.

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 indoor air ventilation system based on big data and a data processing method, comprising a main structure of air circulation, namely a spiral air duct system 1, wherein an air inlet and an air outlet of the spiral air duct system 1 are connected with an automatic air supply system 2, a circulating purification system 3 is arranged in the spiral air duct system 1, air monitoring nodes 4 are arranged in the air inlets of the automatic air supply system 2 and the circulating purification system 3, and a big data monitoring center 5 for data processing is externally connected to the air monitoring nodes 4; the automatic air supply system 2 is respectively installed at an air inlet and an air outlet of the spiral air pipe system 1, controls the air inflow and the air discharge, monitors the air quality in different environments by the air monitoring node 4, and purifies the air by the circular purification system 3 after passing through the big data monitoring center 5, so as to improve the indoor air environment.

Particularly, the automatic air supply system 2 comprises a high-pressure centrifugal fan 201, an air inlet of the high-pressure centrifugal fan 201 is connected with a multi-channel connecting pipe 202, each air inlet of the multi-channel connecting pipe 202 is connected with a section of bendable air guiding pipe 203, a filter screen 204 is clamped in the air inlet of the air guiding pipe 203, a jet nozzle 205 is installed at the air outlet of the high-pressure centrifugal fan 201, and the other end of the jet nozzle 205 is connected with an air inlet or an air outlet of the spiral air pipe system 1; the air inlet number of the multi-channel connecting pipe 202 can be set according to the size of a room, the spacing distance of common air inlets is 5-7m, an induced air pipe 203 is connected according to requirements, the high-pressure centrifugal fan 201 starts to work, indoor air is sucked into the pipeline, large particle dust is preliminarily filtered through the filter screen 204, the pipeline is prevented from being blocked, and the filter screen 204 can be conveniently detached and cleaned.

The spiral air duct system 1 comprises an insulating shell 101, the insulating shell 101 is cylindrical and is tightly attached to the edge of an indoor wall, and has good heat insulation performance, an air inlet duct 102 and an air outlet duct 103 are arranged in the insulating shell 101 side by side, an air inlet of the air inlet duct 102 and an air outlet of the air outlet duct 103 are connected to the automatic air supply system 2, an air outlet of the air inlet duct 102 and an air inlet of the air outlet duct 103 are connected between the circulating purification system 3, and spiral baffles 104 are embedded on the inner walls of the air inlet duct 102 and the air outlet duct 103; indoor air forms high-speed jet flow through the jet flow nozzle 205 in the automatic air supply system 2, and forms spiral airflow under the action of the spiral baffle plate 104 on the inner wall of the air inlet pipeline 102, and then enters the circulating purification system 3.

Further, the circulation purification system 3 comprises a multi-layer filter 301, the multi-layer filter 301 is divided into two layers, the first layer is composed of adsorption activated carbon, and the second layer is composed of a one-way filtration membrane; the exhaust side of the multi-layer filter 301 is connected with a constant temperature humidification box 302, the outer side of the box body of the constant temperature humidification box 302 is wrapped with an insulation layer 303, an electric heating pipe 304 is installed between the insulation layer 303 and the box body of the constant temperature humidification box 302, the electric heating pipe 304 is wound on the four walls of the box body, and the top of the constant temperature humidification box 302 is also provided with a sealing water inlet valve 305.

After the inside and outside air enters the circulating purification system 3, peculiar smell is eliminated through the adsorption activated carbon in the multilayer filter 301, meanwhile, inhalable particles and the like are removed through the one-way filter membrane, the primarily filtered air enters the constant-temperature humidification box 302, a purifying agent for removing organic matters such as methane and the like is added into a water tank of the constant-temperature humidification box 302, meanwhile, the constant-temperature humidification box 301 can be heated through the electric heating pipe 304, so that the temperature and the humidity of the air are both proper, and water in the constant-temperature humidification box 301 can be supplemented through the sealed water inlet valve 305.

As shown in fig. 2, the air monitoring node 4 includes a collecting cover 401 installed at an air inlet of the induced air pipe 203, a sampling bottle 402 is connected to the bottom of the collecting cover 401, a collecting terminal 403 is fixedly installed inside the sampling bottle 402, the collecting cover 401 can effectively collect air and guide the air into the sampling bottle 402, then, the acquisition terminal 403 detects the air quality through the acquisition terminal 403, and the acquisition terminal 403 comprises a sensor module 405 for acquiring the air quality condition, the sensor module 405 comprises a sensor for detecting inhalable particles in the air, a sensor for detecting sulfur oxides and nitrogen oxides in the air, and a sensor for detecting organic matters such as formaldehyde, the sensor module 405 further comprises a temperature sensor and a humidity sensor, and the sensor module 405 can monitor the quality condition of the current air in real time and detect the air humidity and air temperature condition.

Preferably, the data port of the sensor module 405 is connected with an embedded processor 406 for data processing, the embedded processor 406 is composed of an external SDRAM memory of an STM32 series chip, a signal detected by the sensor module 405 is converted into a digital signal at an analog-to-digital conversion port of the embedded processor 406 and temporarily stored in the SDRAM memory, the communication port of the embedded processor 406 is connected with a wireless signal transceiver 404, the wireless signal transceiver 404 is used for connecting the big data monitoring center 5 and the intelligent mobile device, and the wireless communication module 404 converts a collected air quality signal into a wireless radio frequency signal and then transmits the wireless radio frequency signal to the big data monitoring center 5 through the wireless signal transceiver 404.

As shown in fig. 3, the big data monitoring center 5 includes a community server 501 for summarizing cell data and a central server 502 for summarizing whole city data, a classification database 503 is built in the central server 502, a network receiver and a wireless signal transceiver 404 of the community server 501 perform data transmission based on a wireless communication protocol, the community server 501 is used for summarizing data uploaded by each air monitoring node 4, so that short-distance node data is summarized, timely summarizing of data is ensured, then each community server 501 transmits the data to the central server 502, and further data mining and analysis prediction are performed by the central server 502.

As shown in fig. 4, the method for processing indoor air data by the big data monitoring center 5 includes the following steps:

It is supplementary to explain that, the classification database 503 is internally provided with a big data safety storage frame, the data verification component is used for verifying the integrity of the big air quality monitoring data stored in the database, the access token of the big air quality monitoring data is generated by the token generation component, and the storage mode selects the corresponding big air quality monitoring data according to the access token provided by the user; the access credential generated by the authorized user is responsible for the credential generation component; an authorized user extracts the encrypted air quality monitoring big data from the database through the access token and decrypts the encrypted big data through the certificate; the air quality monitoring big data safety storage framework can solve the safety problem and the privacy problem of monitoring big data and solve the problems of electronic evidence collection, lawsuits, data access rationality and the like.

As shown in fig. 5, the encryption processing in step S103 adopts a chaotic encryption algorithm based on the PAC neural network, and specifically includes the following steps: s201, generating a key, wherein the central server generates a key sequence K1 by adopting a key generator; s202, performing chaotic encryption, namely generating a ciphertext sequence C1 by a plaintext sequence m1 and a key sequence K1 based on a chaotic encryption algorithm; s203, decrypting the ciphertext, and the visitor obtains the key sequence K1 generated by the key generator through login permission and decrypts the ciphertext sequence by adopting a chaotic decryption algorithm.

Further explaining, a PCA neural network-based chaotic encryption method is adopted to encrypt the air quality monitoring big data; the chaotic system has extremely high sensitivity to initial values and parameters, and can ensure the safety coefficient and the anti-cracking capability of a big data safety storage mode.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims

1. An indoor air ventilation system based on big data, its characterized in that: the air purifier comprises a main structure with air circulation, namely a spiral air pipe system (1), wherein an air inlet and an air outlet of the spiral air pipe system (1) are connected with an automatic air supply system (2), a circulating purification system (3) is arranged in the spiral air pipe system (1), air monitoring nodes (4) are arranged in the air inlets of the automatic air supply system (2) and the circulating purification system (3), and a big data monitoring center (5) for data processing is externally connected to the air monitoring nodes (4);

the spiral air pipe system (1) comprises an insulating heat-insulating shell (101), the insulating heat-insulating shell (101) is installed at the edge of an indoor wall in a cylindrical tight mode, an air inlet pipeline (102) and an air outlet pipeline (103) are installed inside the insulating heat-insulating shell (101) side by side, an air inlet of the air inlet pipeline (102) and an air outlet of the air outlet pipeline (103) are connected to the automatic air supply system (2), the air outlet of the air inlet pipeline (102) and an air inlet of the air outlet pipeline (103) are connected between the circulating purification system (3), and spiral baffles (104) are embedded in the inner walls of the air inlet pipeline (102) and the air outlet pipeline (103);

the automatic air supply system (2) comprises a high-pressure centrifugal fan (201), an air inlet of the high-pressure centrifugal fan (201) is connected with a multi-channel connecting pipe (202), each air inlet of the multi-channel connecting pipe (202) is connected with a section of bendable air guiding pipe (203), a filter screen cover (204) is clamped in an air inlet of the air guiding pipe (203), a jet nozzle (205) is installed at an air outlet of the high-pressure centrifugal fan (201), and the other end of the jet nozzle (205) is connected with an air inlet or an air outlet of the spiral air pipe system (1);

air monitoring node (4) are including installing collection cover (401) in the air inlet department of induced duct (203), the bottom of collecting cover (401) is connected with sampling bottle (402), sampling bottle (402) inside fixed mounting has collection terminal (403) that are used for carrying on air quality detection and data collection.

2. A big data based indoor air ventilation system as claimed in claim 1, wherein: the circulation purification system (3) comprises a multilayer filter (301), wherein the multilayer filter (301) is divided into two layers, the first layer is composed of adsorption activated carbon, and the second layer is composed of a one-way filtering membrane.

3. A big data based indoor air ventilation system as claimed in claim 2, wherein: the exhaust side of the multilayer filter (301) is connected with a constant temperature humidification box (302), the outer side of the box body of the constant temperature humidification box (302) is wrapped by an insulating layer (303), an electric heating tube (304) is installed between the insulating layer (303) and the box body of the constant temperature humidification box (302), the electric heating tube (304) is coiled on the four walls of the box body, and a sealing water inlet valve (305) is further installed at the top of the constant temperature humidification box (302).

4. A big data based indoor air ventilation system as claimed in claim 1, wherein: the collection terminal (403) comprises a sensor module (405) for collecting the air quality condition, the sensor module (405) comprises a sensor for detecting inhalable particles in the air, a sensor for detecting sulfur oxides and nitrogen oxides in the air and a sensor for detecting organic matters such as formaldehyde, and the sensor module (405) further comprises a temperature sensor and a humidity sensor.

5. An indoor big data based air ventilation system as claimed in claim 4, wherein: the data port of the sensor module (405) is connected with an embedded processor (406) used for processing data, the embedded processor (406) is formed by connecting an STM32 series chip with an external SDRAM memory, a communication port of the embedded processor (406) is connected with a wireless signal transceiver (404), and the wireless signal transceiver (404) is used for connecting a big data monitoring center (5) and intelligent mobile equipment.

6. A big data based indoor air ventilation system as claimed in claim 1, wherein: the big data monitoring center (5) comprises a community server (501) used for carrying out cell data summarization and a central server (502) used for carrying out whole city data summarization, a classification database (503) is arranged in the central server (502), and a network receiver and a wireless signal transceiver (404) of the community server (501) are used for carrying out data transmission based on a wireless communication protocol.

7. A data processing method of a ventilation system according to any one of claims 1 to 6, characterized in that: the method for processing indoor air data by the big data monitoring center (5) comprises the following steps:

8. A data processing method according to claim 7, characterized in that: the encryption processing in step S103 adopts a chaotic encryption algorithm based on the PAC neural network, and specifically includes the following steps: