CN114554330A - Detachable speaker that has dustproof deashing structure - Google Patents
Detachable speaker that has dustproof deashing structure Download PDFInfo
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- 238000004140 cleaning Methods 0.000 claims abstract description 44
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- 230000006870 function Effects 0.000 claims description 25
- 238000013528 artificial neural network Methods 0.000 claims description 22
- 229920000742 Cotton Polymers 0.000 claims description 20
- 230000002265 prevention Effects 0.000 claims description 17
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- 238000011156 evaluation Methods 0.000 claims description 7
- 230000017525 heat dissipation Effects 0.000 claims description 6
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/02—Casings; Cabinets ; Supports therefor; Mountings therein
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
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- B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
- B01D46/10—Particle separators, e.g. dust precipitators, using filter plates, sheets or pads having plane surfaces
- B01D46/12—Particle separators, e.g. dust precipitators, using filter plates, sheets or pads having plane surfaces in multiple arrangements
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- B01D46/30—Particle separators, e.g. dust precipitators, using loose filtering material
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
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- G—PHYSICS
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- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
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Abstract
The invention discloses a fastening type dust-proof shell for mounting a sensor, which comprises a bottom plate, a mounting plate and a cover piece, wherein the bottom plate is provided with a through hole; the bottom plate first locking mechanisms are arranged on two sides of the left end of the top of the bottom plate, the bottom plate second locking mechanisms are arranged on two sides of the middle of the top of the bottom plate in an array mode, the bottom plate third locking mechanisms are arranged on two sides of the right end of the top of the bottom plate, the stop piece is arranged in the middle of the right end of the top of the bottom plate, and a guide inclined plane is arranged on one side of the stop piece; the automatic dust cleaning device comprises a mounting plate, a sensor mounting seat, a sensor connecting port, a control module and a dust early warning module, wherein the sensor mounting seat is arranged in the middle of the upper side of the mounting plate, the sensor connecting port is arranged on one side of the mounting plate, the dust baffle realizes automatic turnover and dust cleaning through the control module, and automatic dust early warning is realized through the dust early warning module.
Description
Technical Field
The invention relates to the technical field of speakers, in particular to a detachable speaker with a dustproof ash removal structure.
Background
A speaker, also called a "horn", is a very common electroacoustic transducer, which is found in electronic and electrical devices for generating sound. The loudspeaker is a transducer for converting an electric signal into an acoustic signal, and the performance of the loudspeaker has great influence on the sound quality. The loudspeaker is the weakest component in the audio equipment, and is the most important component for the audio effect. The speakers are classified into electrodynamic type (i.e., moving coil type), electrostatic type (i.e., capacitive type), electromagnetic type (i.e., tongue spring type), piezoelectric type (i.e., crystal type) and the like according to the transduction principle, and audio frequency electric energy vibrates a cone or a diaphragm thereof through electromagnetic, piezoelectric or electrostatic effects and resonates (resonates) with ambient air to make a sound. The existing loudspeaker has a single structural function and generally does not have a dustproof function, and when the loudspeaker is used for a long time, dust is attached to a loudspeaker diaphragm, so that the sound quality is poor, and the performance and the service life of the loudspeaker are influenced; meanwhile, the loudspeaker in the prior art is complex in assembling and disassembling process, so that the process is complicated in assembling and disassembling, and the use experience of a user is reduced.
Disclosure of Invention
Aiming at the technical defects, the invention discloses a detachable loudspeaker with a dustproof ash removal structure, which can effectively reduce the dust amount contacted with a loudspeaker diaphragm, prevent the dust from interfering and damaging the loudspeaker, ensure the sound production effect and the intonation of the loudspeaker for a long time, prolong the service life of the loudspeaker, simplify the assembling and disassembling process of the loudspeaker and realize the rapid assembling and disassembling of the loudspeaker.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a detachable loudspeaker with a dustproof and dust-cleaning structure comprises a shell, wherein a fixedly connected loudspeaker body is arranged in the shell, a second dustproof frame is arranged at one opening end of the shell, a third dustproof net, dustproof cotton, a second dustproof net and a second dustproof scraper blade are sequentially arranged in the second dustproof frame in the direction away from the loudspeaker body, a dust-cleaning frame is arranged at one end of the second dustproof frame, a cleaning brush is arranged in the dust-cleaning frame, a first dustproof frame is arranged at one end of the dust-cleaning frame, a first dustproof net and a first dustproof scraper blade are sequentially arranged in the first dustproof frame in the opening direction, a stepped shaft is arranged between the first dustproof frame and the second dustproof frame, and screws are arranged at two ends of the stepped shaft;
an embedded seat is arranged in the shell, an internal thread is arranged on the inner side of one end of the opening of the shell, a heat dissipation port is arranged on the shell in a circumferential array mode, an installation ring is arranged on the outer side of the shell, an L-shaped shell buckling piece is arranged on one side, away from the opening of the shell, of the installation ring in a circumferential array mode, an electricity receiving block is oppositely arranged on one side, away from the opening of the shell, of the installation ring, a curved surface groove is formed in one side of the shell buckling piece, and the electricity receiving block is electrically connected with the loudspeaker body;
the outer side of one end, close to the loudspeaker body, of the second dustproof frame is provided with an external thread, the other end of the second dustproof frame is provided with a second sliding outer ring, the inner side of the second dustproof frame is provided with a second buckling piece in an array mode, a second dust outlet is formed in the second dustproof frame in an array mode, a second supporting strip is arranged inside the second dustproof frame, and a second stepped shaft seat is arranged at the intersection of the second supporting strip;
a first sliding inner ring and a second sliding inner ring are respectively arranged at two ends of the ash removal frame, an ash removal buckling piece is arranged at the inner side of the ash removal frame, a wavy driving ring is arranged at the outer side of the ash removal frame, and an ash removal direction indicating mark is arranged at one side of the driving ring;
a first buckling piece is arranged on the inner side of the first dustproof frame in an array mode, a first dust outlet is arranged on the first dustproof frame in an array mode, a first sliding outer ring is arranged at one end of an opening of the first dustproof frame, a first supporting strip is arranged at the other end of the first dustproof frame, and a first stepped shaft seat is arranged at the intersection of the first supporting strip;
the first dustproof net is arranged on one side of the first supporting bar, and the first dustproof net is fixedly connected with the first dustproof frame;
the third dust screen sets up in second support bar one side, third dust screen opposite side is provided with dustproof cotton, dustproof cotton opposite side is provided with the second dust screen, wherein second dust screen and third dust screen and second dust frame fixed connection.
As a further technical scheme of the invention, the dustproof cotton is waterproof sound-transmitting cotton.
As a further technical scheme, a first slip ring is arranged in the first dust blocking scraper, the first slip ring is connected with the stepped shaft in a sleeved mode, and two ends of the first dust blocking scraper are connected with the first buckling piece in a buckled mode.
As a further technical scheme, the cleaning brush is internally provided with a second slip ring, brush hairs are arranged on two sides of the cleaning brush, the second slip ring is connected with the stepped shaft in a matched mode, and two ends of the cleaning brush are connected with the ash removal buckling piece in a buckled mode.
As a further technical scheme of the invention, a third slip ring is arranged in the second dust-blocking scraper, the third slip ring is connected with the stepped shaft in a sleeved mode, and two ends of the second dust-blocking scraper are connected with the second buckling piece in a buckled mode.
As a further technical scheme of the invention, two ends of the stepped shaft are arranged on the first stepped shaft seat and the second stepped shaft seat, wherein the stepped shaft is a mandrel.
As a further technical scheme of the invention, the screws are arranged at two ends of the stepped shaft, wherein the screws are cross screws.
As a further technical scheme of the invention, a dust early warning module is also arranged in the loudspeaker body, wherein the dust early warning module comprises a PLC control module, and a monitoring module, a display driver, an early warning module and a dust detection module which are connected with the PLC control module through an I/O interface, wherein the display driver drives an LED green lamp to work, so as to display a green safety signal; the early warning module is connected with an LED red light and an LED yellow light through a display driver, the PLC control module is connected with a dust detection module through an I/O interface, and the dust detection module is connected with a dust sensor circuit, a dust thickness detection module and a dust particle detection module; wherein:
the dust diameter detected by the dust sensor circuit is less than 10 μm;
the dust thickness detected by the dust thickness detection module is larger than 0.1 mm.
The dust type detected by the dust particle detection module is dust, pollen dust or condensed solid smoke.
As a further technical solution of the present invention, a method for realizing dust early warning by the dust early warning module is a mathematical evaluation method of a BP neural network algorithm model, where the BP neural network algorithm model includes an input layer, an inclusion layer, and an output layer, an output end of the input layer is connected to an input end of the inclusion layer, an input end of the inclusion layer is connected to an output end of the output layer, and the evaluation method of the BP neural network algorithm model is:
step (1), data input, namely realizing information data by dust data information through an input layer, wherein when the information is input, setting
The input of each kind of dust is carried out,
the dust is output, and the dust is discharged,
weight of the relation between individual samples, input layer and intermediate layer
Weights for association between hidden layer and output layer
Hidden layer neuron threshold
And output layer neuron thresholds
Are respectively assigned to one
Random number in between, given a computational accuracy value
And maximum number of learning
The output early warning function with dust error is:
in the formula (1), the reaction mixture is,
which is indicative of a desired output, is,
representing the actual output; o denotes the original data sample or samples of the data,
indicating actual measurement error, and (k) indicating presence
Theoretical or actual output estimates under a sample of dust input,
representing theoretical measurement errors;
step (2), analyzing data, and randomly selecting the first
A dust input sample
And corresponding desired output
Computing the neuron inputs of the hidden layer
Then the sum-activation function is used to calculate the hidden layer output
Finding the input of the output layer by the same method
And
the calculation formula is as follows:
in the formula (2), the reaction mixture is,
the number of input dust information samples is represented, the input and hidden layer output of each neuron of the hidden layer and the input and output of the hidden layer are calculated through the formula (2), and the training of sample data of dust and dust faults is realized; x (k) represents input
The number of information samples under the condition of each dust information sample, i represents the number of hidden layer nodes, and h represents the number of each neuron of a hidden layer;
calculating partial derivatives of the error function to each neuron of the output layer and each neuron of the hidden layer as follows:
calculating partial derivative functions of each neuron of the output layer and the hidden layer through the formula (3), and further observing the characteristics of dust and dust faults;
presentation input
The value of the partial derivative function in the case of individual samples of dust information,
it is shown that the initial value is,
the measured value is represented, i represents one of the information, and h represents the number of each neuron of the hidden layer;
using neurons of the output layer
And hidden layer neuron output
Correcting connection weight
And output layer neuron thresholds
The calculation expression is:
in the formula (4), the reaction mixture is,
indicates the learning rate in
To (c) to (d);
representing the output result of the learning training of the neural network on dust and dust faults;
the output result of the learning training showing the dust and dust fault of the previous node N, N shows the information output by the neuron of the next output layer,
Representing influence factors of the neuron receiving external data information;
step (3) inputting each neuron of the hidden layer and the input layer
Correcting connection weight
And hidden layer neuron thresholds
Wherein the expression is:
by the formula (5), correction values and threshold values of all neurons of the hidden layer and the input layer can be calculated, and dust and powder can be treatedExtracting the characteristics of dust faults;
the correction values of the neurons of the hidden layer are represented,
a threshold value representing the value of the input layer,
neuron correction values representing a previous neural network node,
a threshold value representing an input layer of a previous neural network node;
finally, calculating the global error
The calculation expression is:
the output model of the improved BP neural network is as follows:
in the formula (7), the reaction mixture is,
and
indicating the connection weight of the hidden layer and the output layer before and after adjustment,
the term of the momentum is represented and,
the momentum factor is represented by a number of variables,
representing the data information output by the neuron output layer under h hidden nodes, and adjusting the scaling factor to be:
in the formula (8), the reaction mixture is,
the scaling factor adjustment data output value representing the latest output,
the scaling factor representing the last hidden node output adjusts the data output value,
representing partial derivative function information of the dust information sample under the adjustment of the scaling factor;
if it is
Or the learning frequency exceeds the set maximum frequency
The algorithm is finished, indicating that dust and dust are not in fault, if
And dust faults occur, so that the dust and dust faults can be identified.
Positive and advantageous effects
The dustproof function of the loudspeaker is realized by arranging the dustproof net and the dustproof cotton, the dust cleaning function of the loudspeaker is realized by arranging the cleaning brush and the dust blocking scraper, the sound production effect and the intonation of the loudspeaker can be ensured for a long time, the service life of the loudspeaker is prolonged, the convenient installation between the dustproof frame and the shell is realized by arranging the internal thread and the external thread, the buckling of the loudspeaker is more stable by arranging the shell buckling piece and arranging the curved surface groove, and the rapid installation and disassembly of the loudspeaker can be realized.
The invention also designs a dust sensor circuit, a dust thickness detection module, a dust particle detection module and the like, and can transmit detected data signals to the PLC control module, the PLC control module processes the signals, and transmits the processed signals to the upper computer configuration monitoring system through the Ethernet.
The invention realizes the remote monitoring of dust through wireless dust monitoring, the MCU adopts an LPC1752 singlechip, a 32 of the module based on a Cortex-M3 kernel is a microcontroller, a flash memory with the capacity of 512KB is arranged in the module, and the module has the advantages of high integration and low power consumption.
The invention realizes the mathematical evaluation method of the dust early warning module through the BP neural network model, and improves the microscopic thinking analysis capability of macroscopic objects.
Drawings
FIG. 1 is a schematic perspective view of the present invention;
FIG. 2 is a schematic structural view of a front view of the present invention;
FIG. 3 is a schematic cross-sectional view of a top view of the present invention;
FIG. 4 is a schematic left side view of the present invention;
FIG. 5 is a schematic perspective view of the housing of the present invention;
FIG. 6 is a schematic top perspective view of a second dust rack of the present invention;
FIG. 7 is a schematic perspective view of the ash removal frame of the present invention;
FIG. 8 is a perspective view of a first dust rack of the present invention;
FIG. 9 is a schematic perspective view of a first dust scraper of the present invention;
FIG. 10 is a perspective view of a cleaning brush according to the present invention;
FIG. 11 is a schematic perspective view of a second dust scraper according to the present invention;
FIG. 12 is a schematic perspective view of a dust screen according to the present invention;
FIG. 13 is a schematic perspective view of the dust-proof cotton of the present invention;
FIG. 14 is a schematic diagram of an early warning module according to the present invention;
FIG. 15 is a schematic diagram of a BP neural network algorithm model structure according to the present invention;
the attached drawings are as follows:
1-a loudspeaker body; 2-a shell; 201-embedded seat; 202-a heat dissipation port; 203-a mounting ring; 204-housing snap; 205-curved grooves; 206-a power connection block; 207-internal thread; 3-a second dustproof frame; 301-external thread; 302-a second brace bar; 303-second step shaft seat; 304-a second fastener; 305-a second dust outlet; 306-a second sliding outer ring; 4-ash removal frame; 401-a second sliding inner ring; 402-ash removal fasteners; 403-drive ring; 404-an indicator mark; 405-a first sliding inner ring; 5-a first dustproof frame; 501-a first supporting bar; 502-first step shaft seat; 503-a first fastener; 504-a first dust outlet; 505-a first sliding outer ring; 6-a first dust scraper; 601-a first slip ring; 7-cleaning the brush; 701-a second slip ring; 702-brush bristles; 8-a second dust-blocking scraper; 801-third slip ring; 9-a first dust screen; 10-a second dust screen; 11-dustproof cotton; 12-a third dust prevention net; 13-a stepped shaft; 14-screw.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for the purpose of illustrating and explaining the present invention and are not intended to limit the present invention.
As shown in fig. 1-15, a detachable speaker with dust-proof and dust-cleaning structure comprises a housing 2, a loudspeaker body 1 which is fixedly connected is arranged in the shell 2, a second dustproof frame 3 is arranged at one open end of the shell 2, a third dust prevention net 12, dustproof cotton 11, a second dust prevention net 10 and a second dust prevention scraper 8 are sequentially arranged inside the second dustproof frame 3 in the direction away from the loudspeaker body 1, one end of the second dustproof frame 3 is provided with an ash removal frame 4, a cleaning brush 7 is arranged in the ash removal frame 4, a first dustproof frame 5 is arranged at one end of the ash removal frame 4, a first dustproof net 9 and a first dust-blocking scraper 6 are sequentially arranged inside the first dustproof frame 5 in the opening direction, a stepped shaft 13 is arranged between the first dustproof frame 5 and the second dustproof frame 3, and screws 14 are arranged at two ends of the stepped shaft 13;
an embedded seat 201 is arranged inside the shell 2, an internal thread 207 is arranged on the inner side of one opening end of the shell 2, heat dissipation openings 202 are arranged on the shell 2 in a circumferential array manner, an installation ring 203 is arranged on the outer side of the shell 2, an L-shaped shell buckling piece 204 is arranged on one side, away from the opening of the shell 2, of the installation ring 203, an electricity connection block 206 is oppositely arranged on one side, away from the opening of the shell 2, of the installation ring 203, a curved surface groove 205 is arranged on one side of the L-shaped shell buckling piece 204, and the electricity connection block 206 is electrically connected with the loudspeaker body 1; the arrows in fig. 2 indicate the direction of rotation.
In the specific embodiment, the loudspeaker body 1 is fixedly connected with the embedded seat 201, so that the loudspeaker body 1 is fixed in the casing 2, the casing 2 is buckled with the corresponding buckling piece on the mounting seat through the L-shaped casing buckling piece 204 arranged on one side of the mounting ring 203, and is buckled with the corresponding curved convex groove on the mounting seat through the curved concave groove 205 arranged on one side of the L-shaped casing buckling piece 204, so that the casing 2 is quickly installed and dismantled on the mounting seat, and further the loudspeaker is installed and dismantled, meanwhile, the heat dissipation port 202 arranged on the casing 2 is used for realizing the heat emission during the working of the loudspeaker body 1, the electricity connection block 206 oppositely arranged on one side of the mounting ring 203 is contacted with the conductive elastic piece on the mounting seat, so that the electricity connection of the loudspeaker body 1 is realized, and the sound production control of the loudspeaker is completed.
An external thread 301 is arranged on the outer side of one end, close to the loudspeaker body 1, of the second dustproof frame 3, a second sliding outer ring 306 is arranged at the other end of the second dustproof frame 3, second fasteners 304 are arranged on the inner side of the second dustproof frame 3 in an array mode, second dust outlets 305 are arranged on the second dustproof frame 3 in an array mode, a second support bar 302 is arranged inside the second dustproof frame 3, and a second stepped shaft seat 303 is arranged at the intersection of the second support bar 302;
in the specific embodiment, through setting up in the external screw thread 301 in the second dustproof frame 3 one end outside, realize that second dustproof frame 3 is connected with the detachable of casing 2, second support bar 302 through inside setting, realize providing the location for the installation of third dustproof net 12, simultaneously for the position determination of second ladder axle bed 303 and set up and provide the support, through the inside ladder axle mounting hole of second ladder axle bed 303, realize the installation of ladder axle 13, through the second play dirt mouth 305 that sets up on the second dustproof frame 3, realize the discharge of dust, realize being connected with the lock of second fender dirt scraper blade 8 through second buckling piece 304, realize the relative fixation of second fender dirt scraper blade 8 and second dustproof frame 3.
A first sliding inner ring 405 and a second sliding inner ring 401 are respectively arranged at two ends of the ash removing frame 4, an ash removing buckling piece 402 is arranged at the inner side of the ash removing frame 4, a wave-shaped driving ring 403 is arranged at the outer side of the ash removing frame 4, and an ash removing direction indicating mark 404 is arranged at one side of the driving ring 403;
in the specific embodiment, the second sliding inner ring 401 arranged at one end of the ash removal frame 4 is matched with the second sliding outer ring 306 arranged at one end of the second dust removal frame 3, so that the ash removal frame 4 and the second dust removal frame 3 can slide relatively, the indication mark 404 indicates the direction to rotate the drive ring 403, so that the ash removal frame 4 can rotate, the ash removal buckle piece 402 can be buckled with the cleaning brush 7, the cleaning brush 7 and the ash removal frame 4 can be fixed relatively, meanwhile, the rotation of the cleaning brush 7 is driven through the rotation of the ash removal frame 4, and the dust cleaning work can be realized.
The inner side of the first dustproof frame 5 is provided with first fasteners 503 in an array manner, the first dustproof frame 5 is provided with first dust outlets 504 in an array manner, one end of an opening of the first dustproof frame 5 is provided with a first sliding outer ring 505, the other end of the first dustproof frame 5 is provided with a first supporting bar 501, and a first stepped shaft seat 502 is arranged at the intersection of the first supporting bar 501;
in a specific embodiment, the first sliding outer ring 505 arranged at one end of the first dust-proof frame 5 is matched with the first sliding inner ring 405 arranged in the ash-removing frame 4 to realize relative sliding between the first dust-proof frame 5 and the ash-removing frame 4, the first supporting bar 501 arranged at one end is used for providing positioning for installation of the first dust-proof net 9 and providing support for position determination and setting of the first stepped shaft seat 502, the stepped shaft 13 is installed through the stepped shaft installation hole in the first stepped shaft seat 502, the dust is discharged through the first dust outlet 504 arranged on the first dust-proof frame 5, the first fastening piece 503 is used for fastening connection with the first dust-proof scraper 6, and relative fixing of the first dust-proof scraper 6 and the first dust-proof frame 5 is realized.
The first dust screen 9 is arranged on one side of the first supporting bar 501, wherein the first dust screen 9 is fixedly connected with the first dust frame 5;
the third dust prevention net 12 is arranged on one side of the second support bar 302, the dustproof cotton 11 is arranged on the other side of the third dust prevention net 12, the second dust prevention net 10 is arranged on the other side of the dustproof cotton 11, and the second dust prevention net 10 and the third dust prevention net 12 are fixedly connected with the second dust prevention frame 3;
a dust early warning module is further arranged in the loudspeaker body 1, wherein the dust early warning module comprises a PLC control module, and a monitoring module, a display driver, an early warning module and a dust detection module which are connected with the PLC control module through an I/O interface, wherein the display driver drives an LED green light to work, so that a green safety signal is displayed; the early warning module is connected with an LED red light and an LED yellow light through a display driver, the PLC control module is connected with a dust detection module through an I/O interface, and the dust detection module is connected with a dust sensor circuit, a dust thickness detection module and a dust particle detection module; wherein:
the dust diameter detected by the dust sensor circuit is less than 10 μm;
the dust thickness detected by the dust thickness detection module is greater than 0.1 mm.
The dust type detected by the dust particle detection module is dust, pollen dust or condensed solid smoke.
In a particular embodiment, the dust sensor circuit, the dust thickness detection module and the dust particle detection module are generally based on sensor circuits, particles and molecules which under illumination by light produce scattering phenomena of the light and at the same time absorb part of the energy of the illumination light. When a beam of parallel monochromatic light is incident to the measured particle field, the light intensity is attenuated under the influence of scattering and absorption around the particles. Therefore, the relative attenuation rate of the incident light passing through the concentration field to be measured can be obtained. And the relative attenuation rate is basically in a linear response to the relative concentration of the dust in the field to be measured. The intensity of the light intensity is in direct proportion to the intensity of the electric signal after photoelectric conversion, and the relative attenuation rate can be obtained by measuring the electric signal.
In specific implementation, dust sensor circuit, dust thickness detection module and dust granule detection module can send the data signal who detects to PLC control module, PLC control module handles the signal, signal transmission who will handle through the ethernet is to host computer configuration monitoring system, show dust data information on the host computer simultaneously, when dust data information is detected, early warning module will start the early warning procedure, early warning system's buzzing sound and pilot lamp will start, remind personnel to have the dangerous situation to take place, PLC control module will carry out corresponding processing to the dust data information condition simultaneously, and realize data information's processing through manual intervention. When dust is monitored for data information, an EHT-MPI converter is further adopted to realize the connection of the PLC and the Ethernet, the EHT-MPI converter converts the MPI protocol of the PLC into the Ethernet protocol, and a network system is adopted to connect the PLC, the display screen and the operation platform to form an Ethernet network, so that the processing of dust abnormal information early warning is realized. The upper computer in the system adopts configuration software to perform early warning on dust abnormal information, and utilizes the touch screen to regularly maintain system equipment. In a specific embodiment, the host adopted by the monitoring module is an NB-IoT technology, two wired transmission interfaces of RS232 and RS485 are built in the technology, bidirectional data information communication is realized through an NB-IoT wireless transmission chip, the main control module adopts a microcontroller MCU circuit, a wireless communication interface circuit and the like, and the NB-IoT communication technology is adopted between the MCU and the wireless transceiver chip to realize bidirectional transmission of monitoring video signals.
The invention realizes the remote monitoring of dust through wireless dust monitoring, the MCU adopts an LPC1752 singlechip, a 32-core microcontroller based on Cortex-M3 of the module is a flash memory with the capacity of 512KB in the inner part, and the module has the advantages of high integration and low power consumption, the monitoring host detects the detection data in the early warning systems of dust, dust and the like, and simultaneously has the field functions of monitoring dust, dust and the like, the camera is utilized to capture the field electrical abnormal conditions in time, and the captured data information is transmitted to the early warning systems of dust, dust and the like, and related personnel can carry out in-time maintenance, thereby effectively reducing the occurrence of dust, dust and the like. The wireless communication module adopts a BC60NB-IoT chip to realize wireless communication between the monitoring host and the early warning systems of dust, dust and the like and avoid interruption of wired network communication caused by dangerous situations of dust, dust and the like, the communication baud rate of the communication module can reach 4800bps to 115200bps, and under a self-adaptive mode, if the module receives a main controller or a PC end, the management of the data information is realized.
In the above embodiment, as shown in fig. 15, the method for implementing dust early warning by the dust early warning module is a mathematical evaluation method of a BP neural network algorithm model, where the BP neural network algorithm model includes an input layer, an inclusion layer, and an output layer, an output end of the input layer is connected to an input end of the inclusion layer, an input end of the inclusion layer is connected to an output end of the output layer, and the evaluation method of the BP neural network algorithm model includes:
step (1), data input, namely realizing information data by dust data information through an input layer, wherein when the information is input, setting
The input of each kind of dust is carried out,
the dust is output, and the dust is discharged,
weight of the relation between individual samples, input layer and intermediate layer
Weights for association between hidden layer and output layer
Hidden layer neuron threshold
And output layer neuron thresholds
Are respectively assigned to one
Random number in between, given a computational accuracy value
And maximum number of learning
P and q respectively represent data information such as dust or dust, y represents a hidden layer node, T represents an output node, and n represents the number of nodes; then: the output warning function for the presence of dust errors is:
in the formula (1), the reaction mixture is,
which is indicative of a desired output, is,
representing the actual output; o denotes the original data sample or samples of the data,
indicating actual measurement error, and (k) indicating presence
Theoretical or actual output estimates under a sample of dust input,
representing theoretical measurement errors;
step (2), analyzing data, and randomly selecting the first
A dust input sample
And corresponding desired output
Computing the neuron inputs of the hidden layer
Then the sum-activation function is used to calculate the hidden layer output
Finding the input of the output layer by the same method
And
the calculation formula is as follows:
in the formula (2), the reaction mixture is,
representing the number of samples of input dust informationCalculating the input and the output of each neuron of the hidden layer and the input and the output of the output layer through the formula (2) to realize the training of sample data of dust and dust faults; x (k) represents input
The number of information samples under the condition of each dust information sample, i represents the number of hidden layer nodes, and h represents the number of each neuron of a hidden layer;
calculating partial derivatives of the error function to each neuron of the output layer and each neuron of the hidden layer as follows:
calculating partial derivative functions of each neuron of the output layer and the hidden layer through the formula (3), and further observing the characteristics of dust and dust faults;
presentation input
The value of the partial derivative function in the case of individual samples of dust information,
it is shown that the initial value is,
the measured value is represented, i represents one of the information, and h represents the number of each neuron of the hidden layer; using neurons of the output layer
And hidden layer neuron output
Correcting connection weight
And output layer neuron thresholds
The calculation expression is:
in the formula (4), the reaction mixture is,
indicates the learning rate in
In the middle of;
representing the output result of the learning training of the neural network on dust and dust faults;
the output result of the learning training showing the dust and dust fault of the previous node N, N shows the information output by the neuron of the next output layer,
Representing influence factors of the neuron receiving external data information;
step (3) inputting each neuron of the hidden layer and the input layer
Correcting connection weight
And hidden layer neuron thresholds
Wherein the expression is:
correction values and threshold values of all neurons of the hidden layer and the input layer can be calculated through the formula (5), and feature extraction of dust and dust faults is achieved;
the correction values of the neurons of the hidden layer are represented,
a threshold value representing the value of the input layer,
neuron correction values representing a previous neural network node,
a threshold value representing an input layer of a previous neural network node;
finally, calculating the global error
The calculation expression is:
the output model of the improved BP neural network is as follows:
in the formula (7), the reaction mixture is,
and
indicating pre-adjustment and post-adjustment privacyThe containing layer is connected with the output layer by the weight,
the term of the momentum is represented and,
the momentum factor is represented by a number of variables,
representing the data information output by the neuron output layer under h hidden nodes, and adjusting the scaling factor to be:
in the formula (8), the reaction mixture is,
the scaling factor adjustment data output value representing the latest output,
the scaling factor representing the last hidden node output adjusts the data output value,
the partial derivative function information of the dust information sample under the adjustment of the scaling factor is represented;
if it is
Or the learning frequency exceeds the set maximum frequency
The algorithm is finished, indicating that dust and dust are not in fault, if
And dust faults occur, so that the dust and dust faults can be identified.
In a specific embodiment, the dustproof net is used for blocking dust from entering, and meanwhile, the transmission of sound of the loudspeaker is not influenced, so that the dustproof net is provided with the sound transmission holes.
The dustproof cotton 11 is waterproof sound-transmitting cotton;
a first slip ring 601 is arranged in the first dust blocking scraper 6, the first slip ring 601 is sleeved with the stepped shaft 13, and two ends of the first dust blocking scraper 6 are connected with the first buckling part 503 in a buckling manner;
the cleaning brush 7 is internally provided with a second slip ring 701, brush bristles 702 are arranged on two sides of the cleaning brush 7, the second slip ring 701 is sleeved with the stepped shaft 13, and two ends of the cleaning brush 7 are buckled with the ash removal buckling piece 402;
a third slip ring 801 is arranged in the second dust-blocking scraper 8, the third slip ring 801 is sleeved with the stepped shaft 13, and two ends of the second dust-blocking scraper 8 are buckled with the second buckling piece 304;
in the specific embodiment, the design angle of the dust blocking scraper and the diameter of the slip ring form an included angle of 30 degrees, so that when the cleaning brush 7 sweeps dust, the dust is swept out from the center to the outer side, and finally is discharged from the dust outlet.
Two ends of the stepped shaft 13 are arranged on the first stepped shaft seat 502 and the second stepped shaft seat 303, wherein the stepped shaft 13 is a mandrel;
the screws 14 are arranged at two ends of the stepped shaft 13, wherein the screws 14 are cross screws;
in a specific embodiment, the stepped shaft 13 is sequentially sleeved with the first dust-proof frame 5, the first dust-proof net 9, the first dust-proof scraper 6, the cleaning brush 7, the second dust-proof scraper 8, the second dust-proof net 10, the dust-proof cotton 11, the third dust-proof net 12 and the second dust-proof frame 3 from one end to the other end, and the two ends are fixed by the screws 14, so as to axially fix the ash-removing frame 4, and the relative sliding between the ash-removing frame 4 and the first dust-proof frame 5 and the second dust-proof frame 3 is realized by the matching of the first sliding outer ring 505 and the first sliding inner ring 405 and the matching of the second sliding outer ring 306 and the second sliding inner ring 401.
When the invention is used, the shell 2 is quickly mounted and dismounted on the mounting seat through the L-shaped shell fastener 204 and the curved surface groove 205, so that the loudspeaker is quickly mounted and dismounted, the heat generated during the working of the loudspeaker body 1 is discharged through the heat dissipation port 202, the loudspeaker is electrified through the electrification block 206 to complete the sound production control of the loudspeaker, the second dustproof frame 3 and the shell 2 are mounted through the external thread 301, the primary dustproof of the invention is realized through the first dustproof net 9, the final dustproof of the invention is realized through the second dustproof net 10, the dustproof cotton 11 and the third dustproof net 12, the relative sliding of the dust cleaning frame 4 and the first dustproof frame 5 and the second dustproof frame 3 is realized through the rotation of the driving ring 403, the cleaning brush 7 is driven to rotate through the rotation of the dust cleaning frame 4, the dust is swept out from the center to the outside through the relative rotation of the cleaning brush 7 and the first dust-blocking scraper 6 and the second dust-blocking scraper 8, and finally, the dust is discharged from a dust outlet, so that the dustproof and dust-cleaning functions of the loudspeaker are realized.
Although specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are merely illustrative and that various omissions, substitutions and changes in the form of the detail of the methods and systems described above may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (9)
1. The utility model provides a detachable speaker that has dustproof deashing structure, includes casing (2), its characterized in that: a loudspeaker body (1) fixedly connected is arranged in the shell (2), a second dustproof frame (3) is arranged at one open end of the shell (2), a third dust prevention net (12), dust prevention cotton (11), a second dust prevention net (10) and a second dust prevention scraper blade (8) are sequentially arranged inside the second dust prevention frame (3) in the direction away from the loudspeaker body (1), one end of the second dustproof frame (3) is provided with an ash removal frame (4), a cleaning brush (7) is arranged in the ash removal frame (4), a first dustproof frame (5) is arranged at one end of the ash removal frame (4), a first dustproof net (9) and a first dust-blocking scraper (6) are sequentially arranged inside the first dustproof frame (5) in the opening direction, a stepped shaft (13) is arranged between the first dustproof frame (5) and the second dustproof frame (3), and screws (14) are arranged at two ends of the stepped shaft (13);
an embedded seat (201) is arranged in the shell (2), an internal thread 207 is arranged on the inner side of one opening end of the shell (2), heat dissipation ports (202) are arranged on the shell (2) in a circumferential array mode, an installation ring (203) is arranged on the outer side of the shell (2), an L-shaped shell buckling piece (204) is arranged on one side, away from the opening of the shell (2), of the installation ring (203) in a circumferential array mode, an electricity connection block (206) is oppositely arranged on one side, away from the opening of the shell (2), of the installation ring (203), a curved surface groove (205) is arranged on one side of the L-shaped shell buckling piece (204), and the electricity connection block (206) is electrically connected with the loudspeaker body (1);
an external thread (301) is arranged on the outer side of one end, close to the loudspeaker body (1), of the second dustproof frame (3), a second sliding outer ring (306) is arranged at the other end of the second dustproof frame (3), second buckling pieces (304) are arranged on the inner side of the second dustproof frame (3) in an array mode, second dust outlets (305) are arranged on the second dustproof frame (3) in an array mode, second support bars (302) are arranged inside the second dustproof frame (3), and second stepped shaft seats (303) are arranged at the crossed positions of the second support bars (302);
a first sliding inner ring (405) and a second sliding inner ring (401) are respectively arranged at two ends of the ash removing frame (4), an ash removing buckling piece (402) is arranged at the inner side of the ash removing frame (4), a wave-shaped driving ring (403) is arranged at the outer side of the ash removing frame (4), and an ash removing direction indicating mark (404) is arranged at one side of the driving ring (403);
the inner side of the first dustproof frame (5) is provided with first buckling pieces (503) in an array mode, the first dustproof frame (5) is provided with first dust outlets (504) in an array mode, one end of an opening of the first dustproof frame (5) is provided with a first sliding outer ring (505), the other end of the first dustproof frame (5) is provided with a first supporting strip (501), and a first stepped shaft seat (502) is arranged at the intersection of the first supporting strip (501);
the first dustproof net (9) is arranged on one side of the first supporting bar (501), wherein the first dustproof net (9) is fixedly connected with the first dustproof frame (5);
the third dust prevention net (12) is arranged on one side of the second supporting bar (302), dustproof cotton (11) is arranged on the other side of the third dust prevention net (12), a second dustproof net (10) is arranged on the other side of the dustproof cotton (11), and the second dustproof net (10) and the third dustproof net (12) are fixedly connected with the second dustproof frame (3);
the loudspeaker body is also internally provided with a dust early warning module, wherein the dust early warning module comprises a PLC control module, and a monitoring module, a display driver, an early warning module and a dust detection module which are connected with the PLC control module through an I/O interface, wherein the display driver drives an LED green lamp to work, so that a green safety signal is displayed; the early warning module is connected with an LED red light and an LED yellow light through a display driver, the PLC control module is connected with a dust detection module through an I/O interface, and the dust detection module is connected with a dust sensor circuit, a dust thickness detection module and a dust particle detection module; wherein:
the dust diameter detected by the dust sensor circuit is less than 10 μm;
the dust thickness detected by the dust thickness detection module is greater than 0.1 mm;
the dust type detected by the dust particle detection module is dust, pollen dust or condensed solid smoke.
2. The detachable speaker with dust-proof and ash-cleaning structure as claimed in claim 1, wherein: the dustproof cotton (11) is waterproof sound-transmitting cotton.
3. The detachable speaker with dust-proof and ash-cleaning structure as claimed in claim 1, wherein: the dust-proof scraper is characterized in that a first slip ring (601) is arranged in the first dust-proof scraper (6), the first slip ring (601) is connected with the stepped shaft (13) in a sleeved mode, and two ends of the first dust-proof scraper (6) are connected with a first buckling piece (503) in a buckled mode.
4. The detachable speaker with dust-proof and ash-cleaning structure as claimed in claim 1, wherein: the dust cleaning brush is characterized in that a second slip ring (701) is arranged in the cleaning brush (7), brush hairs (702) are arranged on two sides of the cleaning brush (7), the second slip ring (701) is connected with the stepped shaft (13) in a sleeved mode, and two ends of the cleaning brush (7) are connected with the dust cleaning buckling piece (402) in a buckling mode.
5. The detachable speaker with dust-proof and ash-cleaning structure as claimed in claim 1, wherein: and a third slip ring (801) is arranged in the second dust blocking scraper (8), the third slip ring (801) is sleeved with the stepped shaft (13) and connected with the stepped shaft, and two ends of the second dust blocking scraper (8) are buckled and connected with the second buckling piece (304).
6. The detachable speaker with dust-proof and dust-cleaning structure as claimed in claim 5, wherein: two ends of the stepped shaft (13) are arranged on the first stepped shaft seat (502) and the second stepped shaft seat (303), wherein the stepped shaft (13) is a mandrel.
7. The detachable speaker with dust-proof and dust-cleaning structure as claimed in claim 5, wherein: the screws (14) are arranged at two ends of the stepped shaft (13), wherein the screws (14) are cross screws.
8. The detachable speaker with dust-proof and ash-cleaning structure as claimed in claim 1, wherein: the method for realizing dust early warning by the dust early warning module is a mathematical evaluation method of a BP neural network algorithm model, wherein the BP neural network algorithm model comprises an input layer, an inclusion layer and an output layer, the output end of the input layer is connected with the input end of the inclusion layer, and the input end of the inclusion layer is connected with the output end of the output layer.
9. The detachable speaker with dust-proof and dust-cleaning structure as claimed in claim 8, wherein: the evaluation method of the BP neural network algorithm model comprises the following steps:
step (1), data input, namely realizing information data by dust data information through an input layer, wherein when the information is input, setting
The input of each kind of dust is carried out,
the dust is output, and the dust is discharged,
weight of the relation between individual samples, input layer and intermediate layer
Weights for association between hidden layer and output layer
Hidden layer neuron threshold
And output layer neuron thresholds
Are respectively assigned to one
Random number in between, given a computational accuracy value
And maximum number of learning
The output warning function for the presence of dust errors is:
in the formula (1), the reaction mixture is,
which is indicative of a desired output, is,
representing the actual output; o denotes the original data sample and the original data sample,
indicating actual measurement error, and (k) indicating presence
Theoretical or actual output estimates under a sample of dust input,
representing theoretical measurement errors;
step (2), analyzing data, and randomly selecting the first
A dust input sample
And corresponding desired output
Computing the neuron inputs of the hidden layer
Then the sum-activation function is used to calculate the hidden layer output
Finding the input of the output layer by the same method
And
the calculation formula is as follows:
in the formula (2), the reaction mixture is,
the number of input dust information samples is represented, the input and hidden layer output of each neuron of the hidden layer and the input and output of the hidden layer are calculated through the formula (2), and the training of sample data of dust and dust faults is realized; x (k) represents input
The number of information samples under the condition of each dust information sample, i represents the number of hidden layer nodes, and h represents the number of each neuron of a hidden layer;
calculating partial derivatives of the error function to each neuron of the output layer and each neuron of the hidden layer as follows:
calculating partial derivative functions of each neuron of the output layer and the hidden layer through the formula (3), and further observing the characteristics of dust and dust faults;
presentation input
The value of the partial derivative function in the case of individual samples of dust information,
it is shown that the initial value is,
the measured value is represented, i represents one of the information, and h represents the number of each neuron of the hidden layer;
using neurons of the output layer
And hidden layer neuron output
Correcting connection weight
And output layer neuron thresholds
The calculation expression is:
in the formula (4), the reaction mixture is,
indicates the learning rate in
To (c) to (d);
step (3) inputting each neuron of the hidden layer and the input layer
Correcting connection weight
And hidden layer neuron thresholds
Wherein the expression is:
correction values and threshold values of all neurons of the hidden layer and the input layer can be calculated through the formula (5), and feature extraction of dust and dust faults is achieved;
the correction values of the neurons of the hidden layer are represented,
a threshold value representing the value of the input layer,
neuron correction values representing a previous neural network node,
a threshold value representing an input layer of a previous neural network node;
finally, calculating the global error
The calculation expression is:
the output model of the improved BP neural network is as follows:
in the formula (7), the reaction mixture is,
and
indicating the connection weight of the hidden layer and the output layer before and after adjustment,
the term of the momentum is represented and,
the momentum factor is represented by a number of variables,
representing the data information output by the neuron output layer under h hidden nodes, and adjusting the scaling factor to be:
in the formula (8), the reaction mixture is,
the scaling factor adjustment data output value representing the latest output,
the scaling factor representing the last hidden node output adjusts the data output value,
representing partial derivative function information of the dust information sample under the adjustment of the scaling factor;
if it is
Or the learning frequency exceeds the set maximum frequency
The algorithm is finished, indicating that dust and dust are not in fault, if
And dust faults occur, so that the dust and dust faults can be identified.
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| CN213649300U (en) * | 2020-09-03 | 2021-07-09 | 上海井灏电子科技有限公司 | Automobile air quality sensor and automobile air conditioner filter |
| CN214175038U (en) * | 2020-12-29 | 2021-09-10 | 浙江机电职业技术学院 | Computer air guide cover |
| CN216023935U (en) * | 2021-09-09 | 2022-03-15 | 南通益晖新能源科技有限公司 | A dust removal environmental protection air purification equipment for modern workshop |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115864155A (en) * | 2023-02-20 | 2023-03-28 | 山东云通信息科技股份有限公司 | Dustproof device of outdoor distribution box |
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