Intelligent dust monitoring and automatic dust removal system and method for LCD projector

By designing an intelligent dust monitoring and automatic dust removal system in the projector, the problem of dust inlet and attachment during the fan dust removal process is solved, and efficient and flexible dust removal effect is achieved, improving the reliability and practicality of the projector.

CN118694905BActive Publication Date: 2025-02-18CHENGDU HOTACK TECH CO LTD
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Patent Information

Application Number
CN202410850260.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-28
Publication Date
2025-02-18
Estimated Expiration
2044-06-28

AI Technical Summary

Technical Problem

During the fan dust removal process of the projector, new dust is brought in due to the dust in the air, and some dust adheres to the components and is difficult to remove, reducing dust removal efficiency and flexibility.

Method used

An intelligent dust monitoring and automatic dust removal system of LCD projectors is designed, including determination modules, judgment modules, selection modules and dust removal modules. By collecting dust data, judging dust removal needs, and selecting appropriate dust removal mechanisms and modes, intelligent dust removal is achieved.

Benefits of technology

Through intelligent monitoring and automatic dust removal, the dust removal effect is maximized, flexible dust removal is achieved, and stubborn dust removal is effectively removed from the projector, improving dust removal efficiency, reliability and practicality.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention discloses an intelligent dust monitoring and automatic dust removal system and method for LCD projectors, wherein the system comprises: a determination module for collecting dust data inside the LCD projector and determining dust accumulation conditions inside the LCD projector according to the dust data; a judgment module for judging whether dust removal is required and issuing a dust removal instruction according to dust accumulation conditions inside the LCD projector; a selection module for selecting a dust removal mechanism according to dust accumulation conditions and determining a dust removal mode based on the dust removal mechanism; and a dust removal module for performing intelligent dust removal inside the LCD projector according to the dust removal instruction and the dust removal mode. Selecting different dust removal mechanisms and dust removal modes to perform intelligent dust removal inside the LCD projector with the aid of an auxiliary dust removal component can not only maximize the dust removal effect but also realize flexible dust removal, effectively remove stubborn dust inside the LCD projector, and improve practicality, dust removal efficiency and reliability.
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Description

Technical Field

[0001] The present invention relates to the technical field, and in particular to an intelligent dust monitoring and automatic dust removal system and method for an LCD projector. Background Art

[0002] At present, the projector is also called a projector. With the development of science and technology, the current projection technology is changing with each passing day, and the projection industry has also developed into a new field. Through 3M LCOS (Liquid Crystal on Silicon) RGB (red, green, blue, red, green, blue) three-color projection optical machine and 720P chip decoding technology, the traditional large projector is made sophisticated, portable, miniaturized, entertaining and practical, making the projection technology closer to life and entertainment. The projector is sensitive to dust. If the dust is not cleaned for a long time, the brightness of the projector will be accelerated. At the same time, it will also affect the life of other electronic components of the projector. The projector is generally equipped with a fan. The fan blows the outside air into the air duct inside the projector, and then blows the air out of the projector to cool down, dissipate heat and remove dust from the components inside the projector through the flowing air. However, the problem is that since the air carries dust, the fan will bring in new dust when blowing out the dust inside the projector, and some dust will firmly adhere to the internal components of the projector, making it impossible to effectively remove dust, which reduces the dust removal efficiency and flexibility. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides an intelligent dust monitoring and automatic dust removal system for an LCD projector to solve the problem mentioned in the background technology that due to the dust in the air, when the fan blows out the dust inside the projector, it will also bring in new dust, and some dust will firmly adhere to the internal components of the projector, making it impossible to effectively remove the dust, thereby reducing the dust removal efficiency and flexibility.

[0004] An intelligent dust monitoring and automatic dust removal system for LCD projectors, characterized in that the system comprises:

[0005] A determination module, used for collecting dust data inside the LCD projector, and determining dust accumulation conditions inside the LCD projector according to the dust data;

[0006] A judgment module, used to judge whether dust removal is required according to the dust accumulation inside the LCD projector and issue a dust removal instruction;

[0007] A selection module, for selecting a dust removal mechanism according to dust accumulation conditions, and determining a dust removal mode based on the dust removal mechanism;

[0008] The dust removal module is used to intelligently remove dust inside the LCD projector according to the dust removal instruction and the dust removal mode.

[0009] Preferably, the determining module includes:

[0010] The acquisition submodule is used to acquire the image data inside the LCD projector, pre-process the image data, and obtain the pre-processed image data;

[0011] A capture submodule is used to capture dust on the preprocessed image data by using a preset object capture algorithm, and determine whether there is dust inside the LCD projector according to the captured situation;

[0012] A first determination submodule is used to determine different types of dust particles and their distribution inside the LCD projector based on the preprocessed image data based on a machine learning algorithm if it is determined that dust exists inside the LCD projector;

[0013] The second determining submodule is used to determine the dust accumulation condition inside the LCD projector according to different types of dust particles inside the LCD projector and their distribution conditions.

[0014] Preferably, the judging module comprises:

[0015] A prediction submodule is used to predict the dust movement trajectory according to the dust accumulation and dust type;

[0016] A judgment submodule, used to judge whether dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, and if so, determine that dust removal is required, and if not, determine that dust removal is not required;

[0017] The generation submodule is used to generate dust removal instructions to the built-in processor of the LCD projector.

[0018] Preferably, the selection module includes:

[0019] The second determination submodule is used to determine the adsorption condition of dust inside the LCD projector according to the dust accumulation condition;

[0020] The third determination submodule is used to determine an executable dust removal mechanism according to the adsorption condition of dust inside the LCD projector and the physical and chemical characteristics of various types of dust;

[0021] A selection submodule is used to obtain execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector;

[0022] The fourth determination submodule is used to determine the dust removal characteristics through the target dust removal mechanism, and determine the dust removal mode according to the dust removal characteristics.

[0023] Preferably, the dust removal module comprises:

[0024] A fifth determination submodule, configured to determine an auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine basic required parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector;

[0025] A setting submodule is used to set the working parameters of the auxiliary dust removal component according to the basic requirement parameters of the auxiliary dust removal component;

[0026] The dust removal submodule is used to determine the working order of the auxiliary dust removal components according to the dust removal instructions after the settings are completed, and control the auxiliary dust removal components to perform intelligent dust removal inside the LCD projector according to the working order;

[0027] The sixth determination submodule is used to determine the cleanliness index of the inside of the LCD projector after dust removal, judge whether the dust removal is qualified according to the cleanliness index, and perform secondary dust removal on the inside of the LCD projector when it is determined that the dust removal is unqualified.

[0028] An intelligent dust monitoring and automatic dust removal method for an LCD projector comprises the following steps:

[0029] Collect dust data inside the LCD projector, and determine the dust accumulation inside the LCD projector based on the dust data;

[0030] Determine whether dust removal is needed and issue a dust removal command based on the dust accumulation inside the LCD projector;

[0031] Select a dust removal mechanism according to dust accumulation conditions, and determine a dust removal mode based on the dust removal mechanism;

[0032] Intelligent dust removal is performed inside the LCD projector according to the dust removal command and the dust removal mode.

[0033] Preferably, collecting dust data inside the LCD projector and determining dust accumulation conditions inside the LCD projector according to the dust data include:

[0034] Collect image data inside the LCD projector, pre-process the image data, and obtain the pre-processed image data;

[0035] The preprocessed image data is dust captured by a preset object capture algorithm, and whether there is dust inside the LCD projector is determined according to the captured situation;

[0036] If it is determined that dust exists inside the LCD projector, different types of dust particles and their distribution inside the LCD projector are determined based on the preprocessed image data based on a machine learning algorithm;

[0037] Determine the dust accumulation inside the LCD projector based on the different types of dust particles and their distribution inside the LCD projector.

[0038] Preferably, the method of judging whether dust removal is required and issuing a dust removal instruction according to the dust accumulation inside the LCD projector comprises:

[0039] Predict dust movement trajectory based on dust accumulation and dust type;

[0040] Judging whether the dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, if so, it is determined that dust removal is required, if not, it is determined that dust removal is not required;

[0041] Generates dust removal commands to the LCD projector's built-in processor.

[0042] Preferably, the step of selecting a dust removal mechanism according to dust accumulation conditions and determining a dust removal mode based on the dust removal mechanism includes:

[0043] Determine the dust absorption inside the LCD projector based on the dust accumulation;

[0044] Determine the dust removal mechanism that can be performed based on the dust adsorption inside the LCD projector and the physical and chemical characteristics of each type of dust;

[0045] Acquire execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector;

[0046] The dust removal characteristics are determined by the target dust removal mechanism, and the dust removal mode is determined according to the dust removal characteristics.

[0047] Preferably, the method of performing intelligent dust removal on the inside of the LCD projector according to the dust removal instruction in combination with the dust removal mode includes:

[0048] Determine an auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine basic requirement parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector;

[0049] Setting working parameters of the auxiliary dust removal component according to basic requirement parameters of the auxiliary dust removal component;

[0050] After the settings are completed, the working order of the auxiliary dust removal components is determined according to the dust removal instructions, and the auxiliary dust removal components are controlled according to the working order to perform intelligent dust removal inside the LCD projector;

[0051] The cleaning index of the inside of the LCD projector after dust removal is determined, and whether the dust removal is qualified is judged according to the cleaning index. If it is determined that the dust removal is unqualified, the inside of the LCD projector is dusted again.

[0052] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0053] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0055] Figure 1 A schematic diagram of the structure of an intelligent dust monitoring and automatic dust removal system for an LCD projector provided by the present invention;

[0056] Figure 2 A structural schematic diagram of a determination module in an intelligent dust monitoring and automatic dust removal system for an LCD projector provided by the present invention;

[0057] Figure 3 A working flow chart of an intelligent dust monitoring and automatic dust removal method for an LCD projector provided by the present invention;

[0058] Figure 4 Another working flow chart of the intelligent dust monitoring and automatic dust removal method for an LCD projector provided by the present invention. DETAILED DESCRIPTION

[0059] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0060] At present, projectors are also called projectors. With the development of science and technology, the current projection technology is changing with each passing day, and the projection industry has also developed into a new field. Through 3M LCOS (Liquid Crystal on Silicon) RGB (red, green, blue) three-color projection optical machine and 720P chip decoding technology, the traditional large projector is made exquisite, portable, miniaturized, entertaining and practical, making the projection technology closer to life and entertainment. The projector is more sensitive to dust. If the dust is not cleaned for a long time, it will accelerate the attenuation of the brightness of the projector, and it will also affect the life of other electronic components of the projector. The projector is generally equipped with a fan. The fan blows the outside air into the air duct inside the projector, and then blows the air out of the projector, so as to cool down, dissipate heat and remove dust from the components inside the projector through the flowing air. However, the problem is that because the air carries dust, the fan will bring in new dust when blowing out the dust inside the projector, and some dust will firmly adhere to the internal components of the projector, so that effective dust removal cannot be performed, which reduces the dust removal efficiency and flexibility. In order to solve the above problems, this embodiment discloses an intelligent dust monitoring and automatic dust removal system for an LCD projector.

[0061] An intelligent dust monitoring and automatic dust removal system for LCD projectors, such as Figure 1 As shown, the system includes:

[0062] The determination module 101 is used to collect dust data inside the LCD projector and determine the dust accumulation inside the LCD projector according to the dust data;

[0063] A determination module 102, for determining whether dust removal is required according to dust accumulation inside the LCD projector and issuing a dust removal instruction;

[0064] A selection module 103, configured to select a dust removal mechanism according to dust accumulation conditions, and determine a dust removal mode based on the dust removal mechanism;

[0065] The dust removal module 104 is used to perform intelligent dust removal on the inside of the LCD projector according to the dust removal instruction and the dust removal mode.

[0066] In this embodiment, the dust removal mechanism refers to the method by which dust removal is performed, for example, wind dust removal, vibration dust removal, etc.

[0067] The working principle of the above technical solution is: first, the dust data inside the LCD projector is collected through the determination module, and the dust accumulation situation inside the LCD projector is determined according to the dust data; secondly, the judgment module is used to judge whether dust removal is needed according to the dust accumulation situation inside the LCD projector and issue a dust removal instruction; then, based on the selection module, a dust removal mechanism is selected according to the dust accumulation situation, and a dust removal mode is determined based on the dust removal mechanism; finally, the dust removal module is used to perform intelligent dust removal on the inside of the LCD projector according to the dust removal instruction and the dust removal mode.

[0068] The beneficial effects of the above technical solution are: by judging the dust accumulation situation inside the LCD projector and then selecting different dust removal mechanisms and dust removal modes to use auxiliary dust removal components to perform intelligent dust removal on the inside of the LCD projector, it can not only maximize the dust removal effect but also achieve flexible dust removal, effectively remove the stubborn dust inside the LCD projector, improve practicality and dust removal efficiency and reliability, and solve the problem mentioned in the prior art that due to the dust in the air, new dust will be brought in when the fan blows out the dust inside the projector, and some dust will firmly adhere to the internal components of the projector, making it impossible to effectively remove the dust, thereby reducing the dust removal efficiency and flexibility.

[0069] In one embodiment, Figure 2 As shown, the determination module 101 includes:

[0070] The acquisition submodule 1011 is used to acquire image data inside the LCD projector, pre-process the image data, and obtain the pre-processed image data;

[0071] The capture submodule 1012 is used to capture dust on the preprocessed image data by using a preset object capture algorithm, and determine whether there is dust inside the LCD projector according to the captured situation;

[0072] A first determination submodule 1013 is used to determine different types of dust particles and their distribution inside the LCD projector based on the preprocessed image data based on a machine learning algorithm if it is determined that dust exists inside the LCD projector;

[0073] The second determining submodule 1014 is used to determine the dust accumulation condition inside the LCD projector according to different types of dust particles inside the LCD projector and their distribution conditions.

[0074] In this embodiment, the preset object capturing algorithm is represented as an image processing algorithm for performing object capturing on dust.

[0075] The beneficial effects of the above technical solution are: by determining the different types of dust particles and their distribution inside the LCD projector through the preprocessed image data, the machine learning algorithm can identify and classify dust particles more quickly, and can more accurately determine the type and location of dust particles, which can help reduce false alarms and missed alarms, determine the accumulation of dust, and formulate more effective cleaning and maintenance strategies.

[0076] In one embodiment, the judgment module includes:

[0077] A prediction submodule is used to predict the dust movement trajectory according to the dust accumulation and dust type;

[0078] A judgment submodule, used to judge whether dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, and if so, determine that dust removal is required, and if not, determine that dust removal is not required;

[0079] The generation submodule is used to generate dust removal instructions to the built-in processor of the LCD projector.

[0080] In this embodiment, the dust movement trajectory is represented by the movement trajectory of the dust inside the LCD projector due to wind force or other forces.

[0081] The beneficial effects of the above technical solution are: the dust movement trajectory is predicted according to the dust accumulation situation and dust type to determine whether the dust covers the heat dissipation component and projection component of the projector, and the dust covering the heat dissipation component and projection component of the LCD projector can be discovered and cleaned in time, thereby preventing the dust from causing damage to the equipment. At the same time, dust is prevented from covering the heat dissipation component and projection component of the LCD projector, affecting the heat dissipation effect of the equipment, causing the equipment to overheat or malfunction, thereby improving equipment performance.

[0082] In this embodiment, predicting the dust movement trajectory according to the dust accumulation situation and dust type includes:

[0083] Determine movable dust distribution and fixed dust distribution according to dust accumulation, and determine dust type according to movable dust distribution;

[0084] Obtain dust type parameters and dust quality parameters according to the dust type, and determine the dynamic characteristics of each type of dust according to the dust type parameters and dust quality parameters;

[0085] Based on the dynamic characteristics of each dust, the state matrix of each dust under the action of balanced external force is constructed;

[0086] Determine the motion curve function of each type of dust according to the state matrix of the dust under the action of balanced external force;

[0087] Determine the diffusion hotspot area of ​​the dust inside the LCD projector according to the distribution area position of each dust inside the LCD projector;

[0088] The motion model of each dust is constructed through the motion curve function and dynamic characteristics of each dust;

[0089] The coordinates of the distribution area of ​​each dust in the LCD projector and the coordinates of the diffusion hotspot area of ​​the dust are used as the motion model input of the dust;

[0090] The cumulative target motion feature vector of each dust is obtained through the model output result, and the trajectory feature vector is extracted from the cumulative target motion feature vector;

[0091] The natural wind motion trajectory of each dust is constructed according to the trajectory feature vector;

[0092] Perform vibration tests on various types of dust inside the LCD projector, and determine the resonance frequency value of each type of dust based on the test results and the frequency value of the vibration signal;

[0093] The oscillation motion trajectory of each dust is constructed based on the resonance frequency value of each dust, and the natural wind motion trajectory and the oscillation motion trajectory of each dust are fitted to generate the dust motion trajectory of each dust.

[0094] In this embodiment, the movable dust distribution and the fixed dust distribution are represented by the distribution of dust that can be moved by wind or other forces and the distribution of dust that is fixedly adsorbed on the internal surface of the LCD projector;

[0095] In this embodiment, the dynamic characteristics are represented by the movement characteristics of each dust under the action of external force;

[0096] In this embodiment, the state matrix of each dust under the action of the balanced external force is expressed as a moving state description matrix of each dust under the action of the natural balanced external force;

[0097] In this embodiment, the natural wind movement trajectory is represented by the movement trajectory of each dust under the action of natural wind force;

[0098] In this embodiment, the oscillating motion trajectory is represented as the motion trajectory of each type of dust under the influence of the vibration of the LCD projector.

[0099] The beneficial effects of the above technical solution are: by constructing a motion model for each type of dust, the motion trajectory of the dust under natural wind can be accurately predicted based on the motion characteristics of each type of dust, thereby ensuring data accuracy, reliability and objectivity. Furthermore, by determining the oscillation motion trajectory of each type of dust and then fitting the final motion trajectory of each type of dust, the motion trajectory of each dust under multiple possible external force conditions can be comprehensively determined, thereby ensuring the quality of the data.

[0100] In one embodiment, the selection module includes:

[0101] The second determination submodule is used to determine the adsorption condition of dust inside the LCD projector according to the dust accumulation condition;

[0102] The third determination submodule is used to determine an executable dust removal mechanism according to the adsorption condition of dust inside the LCD projector and the physical and chemical characteristics of various types of dust;

[0103] A selection submodule is used to obtain execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector;

[0104] The fourth determination submodule is used to determine the dust removal characteristics through the target dust removal mechanism, and determine the dust removal mode according to the dust removal characteristics.

[0105] In this embodiment, the executable dust removal mechanism is represented as an executable mechanism for dust removal inside the LCD projector, including: a wet water treatment mechanism, a dust blowing and dust suction combined mechanism, a vibration shaking mechanism, etc.;

[0106] In this embodiment, the execution condition parameter is represented as the execution condition requirement parameter of the executable dust removal mechanism, for example: the execution condition parameter of the wet water treatment mechanism is that the dust removal object is not afraid of contact with water and the water can be cleaned in time;

[0107] In this embodiment, the dust removal characteristics are represented by the physical or chemical change characteristics of the dust under the dust removal mechanism.

[0108] The beneficial effects of the above technical solution are: according to the adsorption of dust inside the projector and the various characteristics of the dust, the dust removal mechanism is determined, and according to the dust removal characteristics of the dust removal mechanism, the dust removal mode is determined, which can improve the dust removal efficiency and reduce the operating cost. At the same time, according to different dust removal characteristics and working environments, the most suitable dust removal mode can be selected to achieve the best dust removal effect.

[0109] In one embodiment, the dust removal module comprises:

[0110] A fifth determination submodule, configured to determine an auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine basic required parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector;

[0111] A setting submodule is used to set the working parameters of the auxiliary dust removal component according to the basic requirement parameters of the auxiliary dust removal component;

[0112] The dust removal submodule is used to determine the working order of the auxiliary dust removal components according to the dust removal instructions after the settings are completed, and control the auxiliary dust removal components to perform intelligent dust removal inside the LCD projector according to the working order;

[0113] The sixth determination submodule is used to determine the cleanliness index of the inside of the LCD projector after dust removal, judge whether the dust removal is qualified according to the cleanliness index, and perform secondary dust removal on the inside of the LCD projector when it is determined that the dust removal is unqualified.

[0114] The beneficial effects of the above technical solution are: based on the adsorption of dust inside the LCD projector, the basic requirement parameters for the auxiliary dust removal component are determined, and the working parameters of the auxiliary dust removal component are set to achieve the best working effect and improve the efficiency and quality of auxiliary dust removal. Furthermore, the working order of the auxiliary dust removal component is determined according to the dust removal instruction, and the inside of the LCD projector is intelligently dusted, and the cleaning index is determined to determine whether secondary dust removal is needed, which can ensure maximum cleaning and improve the dust removal effect.

[0115] In one embodiment, this embodiment also discloses an intelligent dust monitoring and automatic dust removal method for an LCD projector, such as Figure 3 As shown, the following steps are included:

[0116] Step S301, collecting dust data inside the LCD projector, and determining dust accumulation conditions inside the LCD projector according to the dust data;

[0117] Step S302: judging whether dust removal is required according to the dust accumulation inside the LCD projector and issuing a dust removal instruction;

[0118] Step S303: selecting a dust removal mechanism according to the dust accumulation situation, and determining a dust removal mode based on the dust removal mechanism;

[0119] Step S304: Intelligently remove dust inside the LCD projector according to the dust removal instruction and the dust removal mode.

[0120] The working principle of the above technical solution is: collect dust data inside the LCD projector, and determine the dust accumulation situation inside the LCD projector based on the dust data; judge whether dust removal is needed and issue a dust removal instruction based on the dust accumulation situation inside the LCD projector; select a dust removal mechanism according to the dust accumulation situation, and determine a dust removal mode based on the dust removal mechanism; perform intelligent dust removal on the inside of the LCD projector based on the dust removal instruction and the dust removal mode.

[0121] The beneficial effects of the above technical solution are: by judging the dust accumulation situation inside the LCD projector and then selecting different dust removal mechanisms and dust removal modes to use auxiliary dust removal components to perform intelligent dust removal inside the LCD projector, it can not only maximize the dust removal effect but also achieve flexible dust removal, effectively remove stubborn dust inside the LCD projector, and improve practicality, dust removal efficiency and reliability.

[0122] In one embodiment, Figure 4 As shown, the collecting dust data inside the LCD projector and determining the dust accumulation situation inside the LCD projector according to the dust data include:

[0123] Step S401, collecting image data inside the LCD projector, preprocessing the image data, and obtaining preprocessed image data;

[0124] Step S402, performing dust capture on the preprocessed image data by using a preset object capture algorithm, and determining whether there is dust inside the LCD projector according to the captured situation;

[0125] Step S403: if it is determined that dust exists inside the LCD projector, different types of dust particles inside the LCD projector and their distribution are determined based on the preprocessed image data based on a machine learning algorithm;

[0126] Step S404: determining the dust accumulation condition inside the LCD projector according to the different types of dust particles inside the LCD projector and their distribution conditions.

[0127] The beneficial effects of the above technical solution are: by determining the different types of dust particles and their distribution inside the LCD projector through the preprocessed image data, the machine learning algorithm can identify and classify dust particles more quickly, and can more accurately determine the type and location of dust particles, which can help reduce false alarms and missed alarms, determine the accumulation of dust, and formulate more effective cleaning and maintenance strategies.

[0128] In one embodiment, judging whether dust removal is required and issuing a dust removal instruction according to the dust accumulation inside the LCD projector comprises:

[0129] Predict dust movement trajectory based on dust accumulation and dust type;

[0130] Judging whether the dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, if so, it is determined that dust removal is required, if not, it is determined that dust removal is not required;

[0131] Generates dust removal commands to the LCD projector's built-in processor.

[0132] The beneficial effects of the above technical solution are: the dust movement trajectory is predicted according to the dust accumulation situation and dust type to determine whether the dust covers the heat dissipation component and projection component of the projector, and the dust covering the heat dissipation component and projection component of the LCD projector can be discovered and cleaned in time, thereby preventing the dust from causing damage to the equipment. At the same time, dust is prevented from covering the heat dissipation component and projection component of the LCD projector, affecting the heat dissipation effect of the equipment, causing the equipment to overheat or malfunction, thereby improving equipment performance.

[0133] In one embodiment, selecting a dust removal mechanism according to dust accumulation conditions and determining a dust removal mode based on the dust removal mechanism includes:

[0134] Determine the dust absorption inside the LCD projector based on the dust accumulation;

[0135] Determine the dust removal mechanism that can be performed based on the dust adsorption inside the LCD projector and the physical and chemical characteristics of each type of dust;

[0136] Acquire execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector;

[0137] The dust removal characteristics are determined by the target dust removal mechanism, and the dust removal mode is determined according to the dust removal characteristics.

[0138] The beneficial effects of the above technical solution are: according to the adsorption of dust inside the projector and the various characteristics of the dust, the dust removal mechanism is determined, and according to the dust removal characteristics of the dust removal mechanism, the dust removal mode is determined, which can improve the dust removal efficiency and reduce the operating cost. At the same time, according to different dust removal characteristics and working environments, the most suitable dust removal mode can be selected to achieve the best dust removal effect.

[0139] In one embodiment, the intelligent dust removal inside the LCD projector according to the dust removal instruction combined with the dust removal mode includes:

[0140] Determine an auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine basic requirement parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector;

[0141] Setting working parameters of the auxiliary dust removal component according to basic requirement parameters of the auxiliary dust removal component;

[0142] After the settings are completed, the working order of the auxiliary dust removal components is determined according to the dust removal instructions, and the auxiliary dust removal components are controlled according to the working order to perform intelligent dust removal inside the LCD projector;

[0143] The cleaning index of the inside of the LCD projector after dust removal is determined, and whether the dust removal is qualified is judged according to the cleaning index. If it is determined that the dust removal is unqualified, the inside of the LCD projector is dusted again.

[0144] The beneficial effects of the above technical solution are: based on the adsorption of dust inside the LCD projector, the basic requirement parameters for the auxiliary dust removal component are determined, and the working parameters of the auxiliary dust removal component are set to achieve the best working effect and improve the efficiency and quality of auxiliary dust removal. Furthermore, the working order of the auxiliary dust removal component is determined according to the dust removal instruction, and the inside of the LCD projector is intelligently dusted, and the cleaning index is determined to determine whether secondary dust removal is needed, which can ensure maximum cleaning and improve the dust removal effect.

[0145] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0146] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0147] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An intelligent dust monitoring and automatic dust removal system for LCD projectors, characterized in that: The system includes: A determination module, used for collecting dust data inside the LCD projector, and determining dust accumulation conditions inside the LCD projector according to the dust data; A judgment module, used to judge whether dust removal is required according to the dust accumulation inside the LCD projector and issue a dust removal instruction; A selection module, for selecting a dust removal mechanism according to dust accumulation conditions, and determining a dust removal mode based on the dust removal mechanism; A dust removal module is used to intelligently remove dust from inside the LCD projector according to dust removal instructions combined with dust removal modes; The judging module comprises: A prediction submodule is used to predict the dust movement trajectory according to the dust accumulation and dust type; A judgment submodule, used to judge whether dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, and if so, determine that dust removal is required, and if not, determine that dust removal is not required; The generation submodule is used to generate dust removal instructions to the built-in processor of the LCD projector.

2. The LCD projector intelligent dust monitoring and automatic dust removal system according to claim 1, characterized in that: The determining module comprises: The acquisition submodule is used to acquire the image data inside the LCD projector, pre-process the image data, and obtain the pre-processed image data; A capture submodule is used to capture dust on the preprocessed image data by using a preset object capture algorithm, and determine whether there is dust inside the LCD projector according to the captured situation; A first determination submodule is used to determine different types of dust particles and their distribution inside the LCD projector based on the preprocessed image data based on a machine learning algorithm if it is determined that dust exists inside the LCD projector; The second determining submodule is used to determine the dust accumulation condition inside the LCD projector according to different types of dust particles inside the LCD projector and their distribution conditions.

3. The LCD projector intelligent dust monitoring and automatic dust removal system according to claim 1, characterized in that: The selection module comprises: The second determination submodule is used to determine the adsorption condition of dust inside the LCD projector according to the dust accumulation condition; The third determination submodule is used to determine the executable dust removal mechanism according to the adsorption condition of dust inside the LCD projector and the physical and chemical characteristics of various types of dust; A selection submodule is used to obtain execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector; The fourth determination submodule is used to determine the dust removal characteristics through the target dust removal mechanism, and determine the dust removal mode according to the dust removal characteristics.

4. The LCD projector intelligent dust monitoring and automatic dust removal system according to claim 1, characterized in that: The dust removal module comprises: A fifth determination submodule, used to determine the auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine the basic required parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector; A setting submodule, used for setting working parameters of the auxiliary dust removal component according to basic requirement parameters for the auxiliary dust removal component; The dust removal submodule is used to determine the working order of the auxiliary dust removal components according to the dust removal instructions after the settings are completed, and control the auxiliary dust removal components to perform intelligent dust removal inside the LCD projector according to the working order; The sixth determination submodule is used to determine the cleanliness index of the inside of the LCD projector after dust removal, judge whether the dust removal is qualified according to the cleanliness index, and perform secondary dust removal on the inside of the LCD projector when it is determined that the dust removal is unqualified.

5. An intelligent dust monitoring and automatic dust removal method for LCD projectors, characterized in that: The following steps are involved: Collect dust data inside the LCD projector, and determine the dust accumulation inside the LCD projector based on the dust data; Determine whether dust removal is needed and issue a dust removal command based on the dust accumulation inside the LCD projector; Select a dust removal mechanism according to dust accumulation conditions, and determine a dust removal mode based on the dust removal mechanism; Intelligently remove dust inside the LCD projector according to dust removal instructions and dust removal mode; The method of judging whether dust removal is required and issuing a dust removal instruction according to the dust accumulation inside the LCD projector comprises: Predict dust movement trajectory based on dust accumulation and dust type; Judging whether the dust covers the heat dissipation component and the projection component of the LCD projector according to the dust movement trajectory, if so, it is determined that dust removal is required, if not, it is determined that dust removal is not required; Generates dust removal commands to the LCD projector's built-in processor.

6. The LCD projector intelligent dust monitoring and automatic dust removal method according to claim 5, characterized in that: The collecting dust data inside the LCD projector and determining the dust accumulation situation inside the LCD projector according to the dust data includes: Collect image data inside the LCD projector, pre-process the image data, and obtain the pre-processed image data; The preprocessed image data is dust captured by a preset object capture algorithm, and whether there is dust inside the LCD projector is determined according to the captured situation; If it is determined that dust exists inside the LCD projector, different types of dust particles and their distribution inside the LCD projector are determined based on the preprocessed image data based on a machine learning algorithm; Determine the dust accumulation inside the LCD projector based on the different types of dust particles and their distribution inside the LCD projector.

7. The LCD projector intelligent dust monitoring and automatic dust removal method according to claim 5, characterized in that: The step of selecting a dust removal mechanism according to the dust accumulation situation and determining a dust removal mode based on the dust removal mechanism includes: Determine the dust absorption inside the LCD projector based on the dust accumulation; Determine the dust removal mechanism that can be performed based on the dust adsorption inside the LCD projector and the physical and chemical characteristics of each type of dust; Acquire execution condition parameters of the executable dust removal mechanism, and select a target dust removal mechanism according to the execution condition parameters and the structural characteristics of the LCD projector; The dust removal characteristics are determined by the target dust removal mechanism, and the dust removal mode is determined according to the dust removal characteristics.

8. The LCD projector intelligent dust monitoring and automatic dust removal method according to claim 5, characterized in that: The method of performing intelligent dust removal on the inside of the LCD projector according to the dust removal instruction and the dust removal mode includes: Determine an auxiliary dust removal component for the LCD projector according to the dust removal mode, and determine basic requirement parameters for the auxiliary dust removal component based on the adsorption of dust inside the LCD projector; Setting working parameters of the auxiliary dust removal component according to basic requirement parameters of the auxiliary dust removal component; After the settings are completed, the working order of the auxiliary dust removal components is determined according to the dust removal instructions, and the auxiliary dust removal components are controlled according to the working order to perform intelligent dust removal inside the LCD projector; The cleaning index of the inside of the LCD projector after dust removal is determined, and whether the dust removal is qualified is judged according to the cleaning index. If it is determined that the dust removal is unqualified, the inside of the LCD projector is dusted again.

Citation Information

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