CN112791533A - Analysis storage platform based on big data of Internet of things - Google Patents

Analysis storage platform based on big data of Internet of things Download PDF

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Publication number
CN112791533A
CN112791533A CN202110098608.2A CN202110098608A CN112791533A CN 112791533 A CN112791533 A CN 112791533A CN 202110098608 A CN202110098608 A CN 202110098608A CN 112791533 A CN112791533 A CN 112791533A
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module
big data
internet
user
pressure sensor
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池万乐
张笑笑
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Wenzhou Polytechnic
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Wenzhou Polytechnic
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D46/00Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/10Particle separators, e.g. dust precipitators, using filter plates, sheets or pads having plane surfaces
    • B01D46/12Particle separators, e.g. dust precipitators, using filter plates, sheets or pads having plane surfaces in multiple arrangements
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D46/00Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/0002Casings; Housings; Frame constructions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D46/00Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/42Auxiliary equipment or operation thereof
    • B01D46/44Auxiliary equipment or operation thereof controlling filtration
    • B01D46/446Auxiliary equipment or operation thereof controlling filtration by pressure measuring
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1095Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Computing Systems (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Filtering Of Dispersed Particles In Gases (AREA)

Abstract

The invention discloses an analysis storage platform based on Internet of things big data, which comprises an intelligent acquisition module, an Internet of things transmission module, a database module, a big data analysis module and an APP module. This analysis storage platform based on thing networking big data, through having set up first pressure sensor and second pressure sensor, thereby when first pressure sensor, explain the user to have operated the filter screen, change number of times and default comparison through the pressure value, when exceeding the default, the APP module will remind the user to wash, second pressure sensor through setting up, analysis through big data analysis module, and then judge and wash or change the filter core, the number of times and the default that will wash and change are compared, when exceeding the default, the APP module will remind the user to change or wash, thereby reached and not need the user to pay close attention to also can master the time of washing and changing.

Description

Analysis storage platform based on big data of Internet of things
Technical Field
The invention relates to the technical field of big data analysis of the Internet of things, in particular to an analysis storage platform based on big data of the Internet of things.
Background
The existing society is a society with high-speed development, science and technology are developed, information circulation is realized, communication among people is closer and closer, and life is more and more convenient, the internet of things is a product of the high-tech era, the development of big data is driven along with the coming of the internet of things, the big data also attracts more and more people to pay attention, because the internet has large data volume, high acquisition difficulty and relatively low unit value, almost all is non-structural data such as texts and the like, wherein a cloud storage system for the big data ensures high reliability of provided services through the management and operation mechanism of an analysis storage platform of the big data, on the other hand, storage resources contributed by all participating users are collected, and on the one hand, in order to meet emission requirements, a large-scale oil smoke purifier is arranged in a restaurant.
At present, the oil smoke that present oil smoke clarifier can get rid of the kitchen purifies, but the user does not know when clearance oil smoke clarifier inside filter screen and filter core, and the volume of general oil smoke clarifier is great, and the user observes unchangeably, and is difficult to the dismouting, consequently very inconvenient when the inspection. Therefore, an analysis storage platform based on big data of the Internet of things is provided.
Disclosure of Invention
The invention aims to provide an analysis storage platform based on big data of the Internet of things, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an analysis storage platform based on big data of the Internet of things comprises:
the intelligent acquisition module is used for acquiring various parameters of the oil fume purifiers which are installed in the same region and in the same batch;
the transmission module of the Internet of things is used for transmitting the acquired parameters;
the database module stores and backs up various operating parameters of the oil fume purifier and is used for distributing the various operating parameters to the big data analysis module;
the big data analysis module is used for analyzing and processing various operating parameters of the oil fume purifier;
the APP module, the APP module is used for observing data to this judges whether oil absorption device in the oil smoke clarifier should wash or change, can input the default simultaneously.
Preferably, the intelligent acquisition module comprises an oil fume purifier body, a bracket, a filter screen, a first sliding groove, a first pressure sensor, a second pressure sensor, a supporting plate and a filter element, wherein the bracket is installed on two sides of the inner wall of the oil fume purifier body, the filter screen is arranged on the bracket, the top end of the bracket is provided with the first sliding groove matched with the filter screen, the bottom end of the bracket is provided with the first pressure sensor fixedly connected with the oil fume purifier body, the second pressure sensor is arranged at the middle position inside the oil fume purifier body, the top end of the second pressure sensor is provided with the oil fume purifier body in a sliding connection mode, and the filter element is arranged on the top end of the second pressure sensor.
Preferably, the analysis and storage platform based on the big data of the Internet of things,
the method comprises the following steps:
s1: the first pressure sensor and the second pressure sensor in the intelligent acquisition module collect pressure information of the oil smoke purifiers which are installed in the same region in the same batch, the pressure information is transmitted to the database module through the Internet of things transmission module, the database module stores and backups the received information and distributes the received information to the big data analysis module, the big data analysis module analyzes and processes the collected information, the cleaning condition of a user on a filter screen is judged, the big data analysis module transmits the analyzed information to the APP module through the Internet of things transmission module for the user to observe, and the user can also set a preset value in the APP module;
s2: when the first pressure sensor detects that the pressure value changes, the first pressure sensor transmits the signal to the big data analysis module through the Internet of things transmission module and the database module, and the analysis result of the big data analysis module is that a user removes the filter screen and cleans the filter screen;
s3: the pressure value change times of the first pressure sensor are transmitted to the database module through the Internet of things transmission module, the database module stores and backups received information and distributes the received information to the big data analysis module, when the pressure value change times of the first pressure sensor exceed a preset value, the filter screen needs to be cleaned, and the big data analysis module transmits the signal to the APP module through the Internet of things transmission module;
s4: when the APP module receives the signal, a user is reminded to clean the filter screen.
Preferably, the analysis and storage platform based on the big data of the Internet of things,
the method comprises the following steps:
s1: the second pressure sensor in the intelligent acquisition module collects pressure information of the oil smoke purifiers installed in the same region and the same batch, the pressure information is transmitted to the database module through the Internet of things transmission module, the database module stores and backups the received information and distributes the received information to the big data analysis module, the big data analysis module analyzes and processes the collected information, the operation condition of a user on the filter element is judged, the big data analysis module transmits the analyzed information to the APP module through the Internet of things transmission module for the user to observe, and the user can also set a preset value in the APP module;
s2: when the pressure value of the second pressure sensor becomes zero, the second pressure sensor transmits the signal to the big data analysis module through the Internet of things transmission module and the database module, the analysis result of the big data analysis module is that a user takes out the filter element, and the big data analysis module cannot judge whether the user cleans or replaces the filter element;
s3: when a user inserts the filter element into the oil smoke purifier, the pressure signal of the pressure sensor transmits information to the big data analysis module through the internet of things transmission module and the database module, the big data analysis module judges whether the user cleans or replaces the filter element by comparing the pressure values before and after use, when the pressure value is different from the initial pressure value, the big data analysis module analyzes the result and cleans the filter element for the user, when the number of times of cleaning the filter element exceeds the preset value, the user needs to clean the filter element at the moment, when the pressure value is the same as the initial value, the big data analysis module analyzes the result and replaces the filter element for the user, when the number of times of replacing the filter element exceeds the preset value, the user needs to replace the filter element at the moment;
s4: big data analysis module carries this type of signal to the APP module through thing networking transmission module, and then sends the warning of wasing or changing to the user.
An analysis storage platform based on big data of the Internet of things,
the device also comprises the following devices:
the first driving mechanism is arranged at the bottom end of the oil fume purifier body;
the lifting mechanism is arranged on one side of the oil fume purifier body and is connected with the first driving mechanism, and the lifting mechanism is used for lifting;
the second driving mechanism is arranged at the bottom end of the oil fume purifier body;
and the moving mechanism is arranged at the bottom end of the oil fume purifier body and is connected with the second driving mechanism, and the moving mechanism is used for moving the supporting plate so as to be convenient for taking out the filter element.
Preferably, the first driving mechanism comprises a first motor fixedly connected with the bottom end of the oil fume purifier body, the output end of the first motor is fixedly connected with a first coupling, one end of the first coupling is fixedly connected with a first connecting shaft, the first connecting shaft is rotatably connected with a first fixed seat fixedly connected with the oil fume purifier body, one end of the first connecting shaft is fixedly connected with a first bevel gear, a second bevel gear and a third bevel gear are meshed outside the first bevel gear, one end of each of the second bevel gear and the third bevel gear is fixedly connected with a second connecting shaft, the second connecting shaft is rotatably connected with a second fixed seat, the second fixing seat is fixedly connected with a fixing frame fixedly connected with the oil fume purifier body, a fourth bevel gear is meshed with the outer side of the second connecting shaft, and the fourth bevel gear is connected with the lifting mechanism.
Preferably, the lifting mechanism comprises two groups of second chutes arranged at the rear side of the oil fume purifier body, two groups of thread blocks fixedly connected with the bracket are connected in the second chutes in a sliding manner, threaded rods are connected on the thread blocks in a threaded manner, third fixing seats fixedly connected with the oil fume purifier body are connected at two ends of each threaded rod in a rotating manner, and fifth bevel gears meshed with the fourth bevel gears are fixedly connected to the bottom ends of the threaded rods.
Preferably, the second driving mechanism includes a second motor fixedly connected to the bottom end of the lampblack purifier body, an output end of the second motor is fixedly connected to a second coupler, one end of the second coupler is fixedly connected to a third connecting shaft, the third connecting shaft is rotatably connected to a fourth fixing seat fixedly connected to the lampblack purifier body, one end of the third connecting shaft is fixedly connected to a sixth bevel gear, a seventh bevel gear and an eighth bevel gear are meshed to the outer side of the sixth bevel gear, one ends of the seventh bevel gear and the eighth bevel gear are fixedly connected to a fourth connecting shaft, the fourth connecting shaft is rotatably connected to a fifth fixing seat fixedly connected to the lampblack purifier body, and the fourth connecting shaft is connected to the moving mechanism.
Preferably, the moving mechanism comprises two sets of third sliding grooves formed in the bottom end of the oil smoke purifier body, the third sliding grooves are internally and evenly connected with sliding blocks fixedly connected with the supporting plate in a sliding mode, the top end of each sliding block is fixedly connected with a rack plate, and flat gears fixedly connected with a fourth connecting shaft are meshed on the rack plates.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the first pressure sensor and the second pressure sensor are arranged, so that when the first pressure sensor indicates that a user operates the filter screen, the change times of the pressure value is compared with the preset value, when the change times of the pressure value exceeds the preset value, the APP module reminds the user to clean, and through the analysis of the big data analysis module, the second pressure sensor is arranged, so that whether the filter element is cleaned or replaced is judged, the cleaning and replacing times are compared with the preset value, and when the change times of the filter element exceeds the preset value, the APP module reminds the user to replace or clean, so that the cleaning and replacing time can be mastered without the attention of the user.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic view of the overall internal structure of the present invention;
FIG. 3 is a schematic view of another embodiment of the present invention shown in FIG. 2;
FIG. 4 is a schematic view of the structure of the area A in FIG. 3 according to the present invention;
FIG. 5 is a schematic view of the structure of region B in FIG. 3 according to the present invention;
FIG. 6 is a schematic view of the structure of region C in FIG. 3 according to the present invention;
FIG. 7 is a schematic view of the structure of zone D in FIG. 3 according to the present invention;
FIG. 8 is a schematic diagram of a control system according to the present invention;
FIG. 9 is a schematic structural diagram of another aspect of the control system of the present invention.
In the figure: 1-an intelligent acquisition module; 2-an internet of things transmission module; 3-a database module; 4-big data analysis module; 5-an APP module; 6-the oil fume purifier body; 7-a bracket; 8-filtering the net; 9-a first chute; 10-a first pressure sensor; 11-a second pressure sensor; 12-a support plate; 13-a filter element; 14-a first drive mechanism; 15-a lifting mechanism; 16-a second drive mechanism; 17-a moving mechanism; 18-a first motor; 19-a first coupling; 20-a first connecting shaft; 21-a first fixed seat; 22-a first bevel gear; 23-a second bevel gear; 24-a third bevel gear; 25-a second connecting shaft; 26-a second fixed seat; 27-a fixed mount; 28-a fourth bevel gear; 29-a second runner; 30-a thread block; 31-a threaded rod; 32-a third fixed seat; 33-fifth bevel gear; 34-a second motor; 35-a second coupling; 36-a third connecting shaft; 37-a fourth fixed seat; 38-sixth bevel gear; 39-seventh bevel gear; 40-an eighth bevel gear; 41-a fourth connecting shaft; 42-a fifth fixed seat; 43-a third chute; 44-a slide block; 45-rack plate; 46-flat gear.
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.
Referring to fig. 1-9, the present invention provides a technical solution: an analysis storage platform based on big data of the Internet of things comprises:
the intelligent acquisition module 1 is used for acquiring various parameters of the oil fume purifiers installed in the same region and in the same batch;
the transmission module 2 of the internet of things is used for transmitting the acquired parameters;
the database module 3 is used for storing and backing up various operating parameters of the oil fume purifier and distributing the various operating parameters to the big data analysis module 4;
the big data analysis module 4 is used for analyzing and processing various operating parameters of the oil fume purifier;
APP module 5, APP module 5 is used for observing data to this oil absorption device who judges in the oil smoke clarifier whether should wash or change, can input the default simultaneously.
Intelligence collection module 1 includes oil smoke clarifier body 6, bracket 7, filter screen 8, first spout 9, first pressure sensor 10, second pressure sensor 11, backup pad 12, filter core 13, bracket 7 installs the inner wall both sides at oil smoke clarifier body 6, be provided with filter screen 8 on the bracket 7, first spout 9 with filter screen 8 looks adaptation is seted up on the top of oil smoke clarifier body 6, the bottom of bracket 7 is provided with the first pressure sensor 10 with oil smoke clarifier body 6 fixed connection, the inside intermediate position of oil smoke clarifier body 6 is provided with second pressure sensor 11, the top of second pressure sensor 11 be provided with oil smoke clarifier body 6 sliding connection's backup pad 12, be provided with filter core 13 on the backup pad 12.
An analysis storage platform based on big data of the Internet of things,
the method comprises the following steps:
s1: the first pressure sensor 10 and the second pressure sensor 11 in the intelligent acquisition module 1 collect pressure information of the oil smoke purifiers installed in the same region and in the same batch, the pressure information is transmitted to the database module 3 through the internet of things transmission module 2, the database module 3 stores and backs up the received information and distributes the received information to the big data analysis module 4, the big data analysis module 4 analyzes and processes the collected information, the cleaning condition of a user on the filter screen 8 is judged, the big data analysis module 4 transmits the analyzed information to the APP module 5 through the internet of things transmission module 2 for the user to observe, and the user can also set a preset value in the APP module 5;
s2: when the first pressure sensor 10 detects that the pressure value changes, the first pressure sensor 10 transmits the signal to the big data analysis module 4 through the internet of things transmission module 2 and the database module 3, and the analysis result of the big data analysis module 4 is that a user removes the filter screen 8 and cleans the filter screen 8;
s3: the pressure value change times of the first pressure sensor 10 are transmitted to the database module 3 through the internet of things transmission module 2, the database module 3 stores and backups received information and distributes the received information to the big data analysis module 4, when the pressure value change times of the first pressure sensor 10 exceed a preset value, the filter screen 8 needs to be cleaned, and the big data analysis module 4 transmits the signal to the APP module 5 through the internet of things transmission module 2;
s4: when APP module 5 receives such a signal, the user will be reminded to clean filter screen 8.
An analysis storage platform based on big data of the Internet of things,
the method comprises the following steps:
s1: the second pressure sensor 11 in the intelligent acquisition module 1 collects pressure information of the oil smoke purifiers installed in the same region and in the same batch, the pressure information is transmitted to the database module 3 through the internet of things transmission module 2, the database module 3 stores and backups the received information and distributes the received information to the big data analysis module 4, the big data analysis module 4 analyzes and processes the collected information, the operation condition of a user on the filter element 13 is judged, the big data analysis module 4 transmits the analyzed information to the APP module 5 through the internet of things transmission module 2 for the user to observe, and the user can also set a preset value in the APP module 5;
s2: when the pressure value of the second pressure sensor 11 becomes zero, the second pressure sensor 11 transmits the signal to the big data analysis module 4 through the internet of things transmission module 2 and the database module 3, and the analysis result of the big data analysis module 4 is that the user takes out the filter element 13, and the big data analysis module 4 cannot judge whether the user cleans or replaces the filter element 13;
s3: when a user inserts the filter element 13 into the oil smoke purifier, the pressure signal of the pressure sensor transmits information to the big data analysis module 4 through the internet of things transmission module 2 and the database module 3, at the moment, the big data analysis module 4 judges whether the user cleans or replaces the filter element 13 by comparing the pressure values before and after use, when the pressure value is different from the initial pressure value, the big data analysis module 4 analyzes the result, namely the user cleans the filter element 13, when the number of times of cleaning the filter element 13 exceeds the preset value, the user needs to clean the filter element 13 at the moment, when the pressure value is the same as the initial value, the big data analysis module 4 analyzes the result, namely the user replaces the filter element 13, and when the number of times of replacing the filter element 13 exceeds the preset value, the user needs to replace the filter element 13 at;
s4: big data analysis module 4 carries this kind of signal to APP module 5 through thing networking transmission module 2, and then sends the warning of wasing or changing to the user.
An analysis storage platform based on big data of the Internet of things,
the device also comprises the following devices:
a first driving mechanism 14, wherein the first driving mechanism 14 is installed at the bottom end of the oil fume purifier body 6;
the lifting mechanism 15 is installed on one side of the oil fume purifier body 6, and is connected with the first driving mechanism 14, and the lifting mechanism 15 is used for lifting the filter screen 8;
a second driving mechanism 16, wherein the second driving mechanism 16 is installed at the bottom end of the oil fume purifier body 6;
the moving mechanism 17, the moving mechanism 17 is installed in the bottom of the oil smoke purifier body 6, and is connected with the second driving mechanism 16, the moving mechanism 17 is used for moving the supporting plate 12, and then is convenient for take out the filter element 13, and the first driving mechanism 14 is used as the driving force of the lifting mechanism 15, and then ensures that the lifting mechanism 15 operates, so that the filter screen 8 can be taken out conveniently, and the second driving mechanism 16 is used as the driving force of the moving mechanism 17, and then ensures that the moving mechanism 17 operates, and therefore the filter element 13 can be taken out conveniently.
The first driving mechanism 14 comprises a first motor 18 fixedly connected with the bottom end of the oil fume purifier body 6, the output end of the first motor 18 is fixedly connected with a first coupling 19, one end of the first coupling 19 is fixedly connected with a first connecting shaft 20, the first connecting shaft 20 is rotatably connected with a first fixed seat 21 fixedly connected with the oil fume purifier body 6, one end of the first connecting shaft 20 is fixedly connected with a first bevel gear 22, the outer side of the first bevel gear 22 is engaged with a second bevel gear 23 and a third bevel gear 24, one ends of the second bevel gear 23 and the third bevel gear 24 are both fixedly connected with a second connecting shaft 25, the second connecting shaft 25 is rotatably connected with a second fixed seat 26, the second fixed seat 26 is fixedly connected with a fixed frame 27 fixedly connected with the oil fume purifier body 6, and the outer side of the second connecting shaft 25 is engaged with a fourth bevel gear 28, the fourth bevel gear 28 is connected to the lifting mechanism 15, and when the first motor 18 works, the first coupling 19 drives the first connecting shaft 20 to rotate, so as to drive the first bevel gear 22 to rotate, and further drive the second bevel gear 23 and the third bevel gear 24 to rotate, thereby driving the second connecting shaft 25 to rotate, further driving the fourth bevel gear 28 to rotate, and further driving the lifting mechanism 15 to operate.
Elevating system 15 is including seting up two sets of second spout 29 at the oil smoke clarifier body 6 rear side, and is two sets of equal sliding connection has the screw block 30 with bracket 7 fixed connection in the second spout 29, threaded connection has threaded rod 31 on the screw block 30, threaded rod 31's both ends are all rotated and are connected with the third fixing base 32 with oil smoke clarifier body 6 fixed connection, threaded rod 31's bottom fixed connection has the fifth bevel gear 33 with fourth bevel gear 28 engaged with, will drive fifth bevel gear 33 when fourth bevel gear 28 rotates and rotate, and then drive threaded rod 31 and rotate, consequently drive screw block 30 and remove, and then drive bracket 7 and go up and down, consequently drive the lift of filter screen 8, and then be convenient for take out filter screen 8.
The second driving mechanism 16 includes a second motor 34 fixedly connected to the bottom end of the lampblack purifier body 6, the output end of the second motor 34 is fixedly connected to a second coupler 35, one end of the second coupler 35 is fixedly connected to a third connecting shaft 36, the third connecting shaft 36 is rotatably connected to a fourth fixing seat 37 fixedly connected to the lampblack purifier body 6, one end of the third connecting shaft 36 is fixedly connected to a sixth bevel gear 38, a seventh bevel gear 39 and an eighth bevel gear 40 are engaged with the outer side of the sixth bevel gear 38, one ends of the seventh bevel gear 39 and the eighth bevel gear 40 are both fixedly connected to a fourth connecting shaft 41, the fourth connecting shaft 41 is rotatably connected to a fifth fixing seat 42 fixedly connected to the lampblack purifier body 6, the fourth connecting shaft 41 is connected to the moving mechanism 17, and when the second motor 34 works, the second coupler 35 drives the third connecting shaft 36 to rotate, which in turn drives the sixth bevel gear 38 to rotate and in turn drives the seventh bevel gear 39 and the eighth bevel gear 40 to rotate and in turn drives the fourth connecting shaft 41 to rotate, thus causing the moving mechanism 17 to operate.
Moving mechanism 17 is including seting up two sets of third spout 43 in 6 bottoms of lampblack purifier body, and is two sets of equal sliding connection has slider 44 with backup pad 12 fixed connection in the third spout 43, slider 44's top fixedly connected with rack plate 45, the meshing has the spur gear 46 with fourth connecting axle 41 fixed connection on the rack plate 45, will drive spur gear 46 and rotate when fourth connecting axle 41 rotates, and then drive rack plate 45 and remove, and then drive backup pad 12 through slider 44 and remove, and then be convenient for take out filter core 13.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (9)

1. The utility model provides an analysis storage platform based on thing networking big data which characterized in that includes:
the intelligent acquisition module (1) is used for acquiring various parameters of the oil fume purifiers which are installed in the same region in the same batch;
the system comprises an Internet of things transmission module (2), wherein the Internet of things transmission module (2) is used for transmitting acquired parameters;
the database module (3) stores and backs up various operating parameters of the oil fume purifier and is used for distributing the operating parameters to the big data analysis module (4);
the big data analysis module (4) is used for analyzing and processing various operating parameters of the oil fume purifier;
APP module (5), APP module (5) are used for observing data to this judges whether oil absorption device in the oil smoke clarifier should wash or change, can input the default simultaneously.
2. The analysis and storage platform based on the big data of the Internet of things according to claim 1, characterized in that: the intelligent acquisition module (1) comprises an oil fume purifier body (6), a bracket (7), a filter screen (8), a first chute (9), a first pressure sensor (10), a second pressure sensor (11), a support plate (12) and a filter element (13), wherein the bracket (7) is installed on two sides of the inner wall of the oil fume purifier body (6), the filter screen (8) is arranged on the bracket (7), the first chute (9) matched with the filter screen (8) is arranged at the top end of the bracket (1), the first pressure sensor (10) fixedly connected with the oil fume purifier body (6) is arranged at the bottom end of the bracket (7), the second pressure sensor (11) is arranged at the middle position inside the oil fume purifier body (6), the second pressure sensor (11) is arranged at the top end of the second pressure sensor (11) and is slidably connected with the oil fume purifier body (6), the filter element (13) is arranged on the filter element (12).
3. The analysis and storage platform based on the big data of the Internet of things according to claim 1, characterized by comprising the following steps:
s1: the intelligent oil fume purifier comprises a first pressure sensor (10) and a second pressure sensor (11) in an intelligent acquisition module (1), wherein pressure information of oil fume purifiers installed in the same region and in the same batch is collected and transmitted to a database module (3) through an internet of things transmission module (2), the database module (3) stores and backups received information and distributes the received information to a big data analysis module (4), the big data analysis module (4) analyzes and processes the collected information, the cleaning condition of a user on a filter screen (8) is judged, the big data analysis module (4) transmits the analyzed information to an APP module (5) through the internet of things transmission module (2) for the user to observe, and the user can set a preset value in the APP module (5);
s2: when the first pressure sensor (10) detects that the pressure value changes, the first pressure sensor (10) transmits the signal to the big data analysis module (4) through the Internet of things transmission module (2) and the database module (3), and the analysis result of the big data analysis module (4) is that a user detaches the filter screen (8) and cleans the filter screen (8);
s3: the pressure value change times of the first pressure sensor (10) are transmitted to the database module (3) through the Internet of things transmission module (2), the database module (3) stores and backups received information and distributes the received information to the big data analysis module (4), when the pressure value change times of the first pressure sensor (10) exceed a preset value, the filter screen (8) needs to be cleaned, and at the moment, the big data analysis module (4) transmits the signal to the APP module (5) through the Internet of things transmission module (2);
s4: when APP module (5) receives such signals, the user will be reminded to clean filter screen (8).
4. The analysis and storage platform based on the big data of the Internet of things according to claim 1, characterized by comprising the following steps:
s1: the second pressure sensor (11) in the intelligent acquisition module (1) collects pressure information of the oil smoke purifiers installed in the same region in the same batch, the pressure information is transmitted to the database module (3) through the Internet of things transmission module (2), the database module (3) stores and backups the received information, the received information is distributed to the big data analysis module (4), the big data analysis module (4) analyzes and processes the collected information, the operation condition of a user on the filter element (13) is judged, the big data analysis module (4) transmits the analyzed information to the APP module (5) through the Internet of things transmission module (2) for the user to observe, and the user can also set a preset value in the APP module (5);
s2: when the pressure value of the second pressure sensor (11) becomes zero, the second pressure sensor (11) transmits the signal to the big data analysis module (4) through the internet of things transmission module (2) and the database module (3), the analysis result of the big data analysis module (4) is that the user takes out the filter element (13), and the big data analysis module (4) cannot judge whether the user cleans or replaces the filter element (13);
s3: when a user inserts the filter element (13) into the oil smoke purifier, the pressure signal of the pressure sensor transmits information to the big data analysis module (4) through the internet of things transmission module (2) and the database module (3), the big data analysis module (4) judges whether the user cleans or replaces the filter element (13) by comparing the pressure values before and after use, when the pressure value is different from the initial pressure value, the big data analysis module (4) analyzes the result that the user cleans the filter element (13), when the number of times of cleaning the filter element (13) exceeds a preset value, the user needs to clean the filter element (13) at the moment, when the pressure value is the same as the initial value, the big data analysis module (4) analyzes the result that the filter element (13) is replaced by the user, when the number of times of replacing the filter element (13) exceeds a preset value, the user needs to replace the filter element (13);
s4: big data analysis module (4) carry this type of signal to APP module (5) through thing networking transmission module (2), and then send the warning of wasing or changing to the user.
5. An analysis storage platform based on big data of the Internet of things is characterized in that,
the device also comprises the following devices:
the first driving mechanism (14), the said first driving mechanism (14) is installed in the bottom end of the body (6) of the lampblack purifier;
the lifting mechanism (15), the lifting mechanism (15) is installed on one side of the oil fume purifier body (6) and is connected with the first driving mechanism (14), and the lifting mechanism (15) is used for lifting (8);
the second driving mechanism (16), the said second driving mechanism (16) is installed in the bottom end of the body (6) of the lampblack purifier;
the moving mechanism (17) is installed at the bottom end of the oil smoke purifier body (6) and connected with the second driving mechanism (16), and the moving mechanism (17) is used for moving the supporting plate (12) so as to be convenient for taking out the filter element (13).
6. The analysis and storage platform based on the big data of the Internet of things according to claim 5, characterized in that: the first driving mechanism (14) comprises a first motor (18) fixedly connected with the bottom end of the oil fume purifier body (6), the output end of the first motor (18) is fixedly connected with a first coupler (19), one end of the first coupler (19) is fixedly connected with a first connecting shaft (20), the first connecting shaft (20) is rotatably connected with a first fixing seat (21) fixedly connected with the oil fume purifier body (6), one end of the first connecting shaft (20) is fixedly connected with a first bevel gear (22), the outer side of the first bevel gear (22) is engaged with a second bevel gear (23) and a third bevel gear (24), one ends of the second bevel gear (23) and the third bevel gear (24) are fixedly connected with a second connecting shaft (25), and the second connecting shaft (25) is rotatably connected with a second fixing seat (26), the second fixing seat (26) is fixedly connected with a fixing frame (27) fixedly connected with the oil fume purifier body (6), a fourth bevel gear (28) is meshed with the outer side of the second connecting shaft (25), and the fourth bevel gear (28) is connected with the lifting mechanism (15).
7. The analysis and storage platform based on big data of the Internet of things according to claim 6, characterized in that: elevating system (15) are including seting up two sets of second spout (29) at oil smoke clarifier body (6) rear side, and are two sets of equal sliding connection has screw block (30) with bracket (7) fixed connection in second spout (29), threaded connection has threaded rod (31) on screw block (30), the both ends of threaded rod (31) are all rotated and are connected with third fixing base (32) with oil smoke clarifier body (6) fixed connection, the bottom fixedly connected with of threaded rod (31) and fourth bevel gear (28) engaged with fifth bevel gear (33).
8. The analysis and storage platform based on the big data of the Internet of things according to claim 5, characterized in that: the second driving mechanism (16) comprises a second motor (34) fixedly connected with the bottom end of the oil fume purifier body (6), the output end of the second motor (34) is fixedly connected with a second coupling (35), one end of the second coupling (35) is fixedly connected with a third connecting shaft (36), the third connecting shaft (36) is rotatably connected with a fourth fixing seat (37) fixedly connected with the oil fume purifier body (6), one end of the third connecting shaft (36) is fixedly connected with a sixth bevel gear (38), the outer side of the sixth bevel gear (38) is meshed with a seventh bevel gear (39) and an eighth bevel gear (40), one ends of the seventh bevel gear (39) and the eighth bevel gear (40) are fixedly connected with a fourth connecting shaft (41), and the fourth connecting shaft (41) is rotatably connected with a fifth fixing seat (42) fixedly connected with the oil fume purifier body (6), the fourth connecting shaft (41) is connected with the moving mechanism (17).
9. The analysis and storage platform based on the big data of the internet of things according to claim 8, wherein: moving mechanism (17) are including seting up two sets of third spout (43) in lampblack purifier body (6) bottom, and are two sets of equal sliding connection has slider (44) with backup pad (12) fixed connection in third spout (43), the top fixedly connected with rack plate (45) of slider (44), meshing has pinion (46) with fourth connecting axle (41) fixed connection on rack plate (45).
CN202110098608.2A 2021-01-25 2021-01-25 Analysis storage platform based on big data of Internet of things Withdrawn CN112791533A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
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CN114515479A (en) * 2022-02-10 2022-05-20 浙江机电职业技术学院 Commercial oil smoke processing apparatus of thing networking based on X86 master control

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CN109539341A (en) * 2017-09-21 2019-03-29 宁波方太厨具有限公司 A kind of filter screen of range hood monitoring device and method
CN209213942U (en) * 2018-09-30 2019-08-06 关要领 A kind of oil fume purifier of easy cleaning
CN111380118A (en) * 2018-12-28 2020-07-07 苏州三星电子有限公司 Air purifier and filter screen replacement prompting method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109539341A (en) * 2017-09-21 2019-03-29 宁波方太厨具有限公司 A kind of filter screen of range hood monitoring device and method
CN209213942U (en) * 2018-09-30 2019-08-06 关要领 A kind of oil fume purifier of easy cleaning
CN111380118A (en) * 2018-12-28 2020-07-07 苏州三星电子有限公司 Air purifier and filter screen replacement prompting method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114515479A (en) * 2022-02-10 2022-05-20 浙江机电职业技术学院 Commercial oil smoke processing apparatus of thing networking based on X86 master control
CN114515479B (en) * 2022-02-10 2023-05-26 浙江机电职业技术学院 Commercial oil smoke processing apparatus of thing networking based on X86 master control

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Application publication date: 20210514