CN116733341A - Control method and device for electric sliding type safety ventilation sound insulation window - Google Patents

Control method and device for electric sliding type safety ventilation sound insulation window Download PDF

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Publication number
CN116733341A
CN116733341A CN202310110875.6A CN202310110875A CN116733341A CN 116733341 A CN116733341 A CN 116733341A CN 202310110875 A CN202310110875 A CN 202310110875A CN 116733341 A CN116733341 A CN 116733341A
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CN
China
Prior art keywords
noise
sound insulation
data
ventilation
insulation window
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CN202310110875.6A
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Chinese (zh)
Inventor
滕德海
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Sichuan Sanyuan Environmental Governance Co ltd
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Sichuan Sanyuan Environmental Governance Co ltd
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Priority to CN202310110875.6A priority Critical patent/CN116733341A/en
Publication of CN116733341A publication Critical patent/CN116733341A/en
Pending legal-status Critical Current

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    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/70—Power-operated mechanisms for wings with automatic actuation
    • E05F15/71—Power-operated mechanisms for wings with automatic actuation responsive to temperature changes, rain, wind or noise
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/60—Power-operated mechanisms for wings using electrical actuators
    • E05F15/603—Power-operated mechanisms for wings using electrical actuators using rotary electromotors
    • E05F15/632—Power-operated mechanisms for wings using electrical actuators using rotary electromotors for horizontally-sliding wings
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
    • E05Y2900/00—Application of doors, windows, wings or fittings thereof
    • E05Y2900/10—Application of doors, windows, wings or fittings thereof for buildings or parts thereof
    • E05Y2900/13—Type of wing
    • E05Y2900/148—Windows

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  • Air-Conditioning For Vehicles (AREA)

Abstract

The application provides a control method and a device for an electric sliding type safety ventilation sound insulation window, wherein the method comprises the following steps: acquiring road condition data in a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of a ventilation sound insulation window; predicting theoretical noise data of the target noise road section based on the road condition data; and generating a slip control command of the ventilation sound insulation window according to the theoretical noise data. The method can control the ventilation and sound insulation window before noise occurs, further reduces the interference of the noise to a user, improves the experience of rest, work or study of the user, improves the quality of life, and solves the problems that the ventilation and sound insulation window in the prior art cannot detect the noise timely and can not change the state of the ventilation and sound insulation window timely according to the noise condition.

Description

Control method and device for electric sliding type safety ventilation sound insulation window
Technical Field
The application relates to the field of intelligent control, in particular to a control method and device for a safe ventilation sound insulation window.
Background
The ventilation and sound insulation window circulating in the market at present is immediate in noise collection, namely, when a noise signal is received, the window closing operation is carried out, so that the user cannot avoid the upcoming noise in advance, and the situation causes great interference when the user is at rest, works or learns, so that the life quality of the user is reduced.
Therefore, there is a need to provide a control method for an electric sliding type safety ventilation sound insulation window, so as to at least partially solve the problems in the prior art.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art or related art.
To this end, a first aspect of the present application provides a control method for an electric sliding type safety ventilation sound insulation window, the method comprising:
acquiring road condition data in a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of the ventilation sound insulation window;
predicting theoretical noise data of the target noise road section based on the road condition data;
and generating a slip control command of the ventilation sound insulation window according to the theoretical noise data.
In one possible embodiment, the road condition data includes traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the vehicle flow speed in the preset travel distance range of the target noise section is greater than or equal to 30km/h, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
In one possible embodiment, the road condition data includes traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the traffic flow speed in the preset travel distance range of the target noise section indicates that the traffic flow is in a congestion state, predicting that theoretical noise data of the target noise section cannot reach a sound insulation control critical value within a first preset duration.
In one possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
obtaining the hit information in the preset travel distance range of the target noise road section;
and under the condition that hit information exists in the preset travel distance range of the target noise road section and the number of lanes of the target noise road section is smaller than or equal to the preset number of lanes, predicting that the theoretical noise data of the target noise road section cannot reach a sound insulation control critical value within a second preset time period, wherein the second preset time period is longer than the first preset time period.
In one possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
acquiring bicycle weight data of a vehicle driving into a preset travel distance range of the target noise road section;
and under the condition that the weight of a bicycle of the vehicle driving into the preset travel distance range of the target noise section is larger than the preset weight, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
In a possible embodiment, the generating the slip control command of the ventilation sound insulation window according to the theoretical noise data includes:
and generating a slip control instruction of the ventilation sound insulation window under the condition that the theoretical noise data is about to reach the sound insulation control critical value and the ventilation sound insulation window is in a ventilation state so as to switch the ventilation sound insulation window to a sound insulation state.
In one possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
under the condition that the road section with the target noise enters the target auxiliary monitoring vehicle, obtaining the road section actual measurement noise data collected by the target auxiliary monitoring vehicle;
and calculating the execution time of the slip control command based on the distance between the target noise section and the installation position of the ventilation sound insulation window under the condition that the actually measured noise data is larger than the preset noise volume.
The second aspect of the application provides a control device for an electric sliding type safety ventilation sound insulation window, which comprises:
the acquisition module is used for acquiring road condition data within a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of the ventilation sound insulation window;
the prediction module is used for predicting theoretical noise data of the target noise road section based on the road condition data;
and the generation module is used for generating the slippage control instruction of the ventilation sound insulation window according to the theoretical noise data.
A third aspect of the present application provides an electronic device, the electronic device including at least one processor and at least one memory connected to the processor, wherein the processor is configured to call a program instruction in the memory, and execute the control method of the electric sliding safety ventilation sound insulation window according to any one of the first aspect.
A fourth aspect of the present application provides a storage medium including a stored program, wherein the program is executed to control a device in which the storage medium is located to execute the control method of the electric sliding type safety ventilation sound insulation window according to any one of the first aspects.
Compared with the prior art, the application at least comprises the following beneficial effects: the embodiment of the application provides an electric sliding type safe ventilation sound insulation window control method, which comprises the steps of obtaining road condition data within a preset travel distance range of a target noise section, wherein the target noise section is a main noise source associated with the installation position of the ventilation sound insulation window, predicting theoretical noise data of the target noise section based on the road condition data, and generating a sliding control instruction of the ventilation sound insulation window according to the theoretical noise data. The method for controlling the electric sliding type safe ventilation and sound insulation window can control the ventilation and sound insulation window before noise occurs, further reduces interference of noise to a user, improves user resting, working or learning experience, improves life quality, and solves the problem that the state of the ventilation and sound insulation window cannot be changed in time according to noise conditions due to untimely detection of the ventilation and sound insulation window in the prior art.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the exemplary embodiments. The drawings are only for purposes of illustrating exemplary embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a schematic flow chart of a control method of an electric sliding type safety ventilation sound insulation window according to an embodiment of the present application.
FIG. 2 is a schematic block diagram of an electric sliding safety ventilation sound insulation window control device according to an embodiment of the present application;
fig. 3 is a schematic block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
A first aspect of the embodiment of the present application proposes a control method for an electric sliding type safety ventilation sound insulation window, as shown in fig. 1, the method may include:
step S110, obtaining road condition data in a preset travel distance range of a target noise section, wherein the target noise section is a main noise source associated with the installation position of the ventilation and sound insulation window;
specifically, the implementation of the electric sliding type safe ventilation sound insulation window control method can depend on an intelligent controller, a remote server or an intelligent terminal, such as a smart phone, and the embodiment of the application provides a control means of the intelligent terminal, and an APP (Application, mobile phone software) or a WeChat applet for implementing the electric sliding type safe ventilation sound insulation window control method can be installed on the intelligent terminal, and can mutually access information with a traffic management system platform of a city to which the ventilation sound insulation window belongs or navigation software commonly used in the market to obtain real-time traffic information.
It should be explained that the target noise section may be determined by the installation position of the ventilation and sound insulation window, and the target noise section may be a section closest to the ventilation and sound insulation window, or may be a section determined by historical traffic flow information, and the target noise section is set as a main noise source, that is, a main noise source, of the ventilation and sound insulation window, and may include traffic noise. The preset travel distance range may refer to an actual vehicle travel distance from a target noise section, and the user of the ventilation sound insulation window may set the actual vehicle travel distance through an APP on the intelligent terminal, for example, 500 meters, that is, 500 meters may further reach a position within the target noise section, where the position is regarded as the preset travel distance range. The road condition data can be provided by navigation software or a traffic management system platform of the city to which the ventilation and sound insulation window belongs.
Step S120, predicting theoretical noise data of the target noise road section based on the road condition data;
specifically, the road condition data may be provided from a traffic management system platform of a city to which a navigation software or a ventilation and sound insulation window belongs, which is common in the market, and in this embodiment, the navigation software may generate traffic information such as an average speed, a traffic flow, a congestion situation of a real-time traffic flow in a certain range through a use condition of the navigation software, a certain period of time and a certain period of time of a vehicle, and may transmit the traffic information to an APP of the intelligent terminal in real time through a technical means such as a cloud server, where the APP may comprehensively consider the road condition data within a preset travel distance range of a target noise section generated by the information, and may convert the road condition data into theoretical noise data, where the theoretical noise data may be a predicted value, and a unit of the theoretical noise data may be a decibel.
It can be explained that the traffic information situation near the target noise road section is obtained in advance, road condition data are generated according to the information, predicted theoretical noise data are generated based on the road condition data, connection between the traffic information and the noise data is established, and traffic situations which are about to affect a main noise source are analyzed and processed in advance, so that the noise data which are not easy to predict and analyze are associated with the traffic information which can be predicted and analyzed, and the pre-judgment on the upcoming noise situation of the main noise source is realized.
And step S130, generating a slip control command of the ventilation sound insulation window according to the theoretical noise data.
Specifically, the APP on the intelligent terminal may issue a control instruction to the ventilation and sound insulation window according to the above theoretical noise data, where the control instruction may include closing the ventilation and sound insulation window. The APP may issue a slip control command to a driving module of the ventilation and sound insulation window according to the theoretical noise data, the slip control command may cause the ventilation and sound insulation window to be closed, and the driving module may include a small motor.
In summary, the embodiment of the application provides an electric sliding type safe ventilation sound insulation window control method, which comprises the steps of obtaining road condition data in a preset travel distance range of a target noise road section, generating predicted theoretical noise data based on the road condition data, and sending a sliding control instruction to a ventilation sound insulation window according to the theoretical noise data, wherein the sliding control instruction comprises closing of the ventilation sound insulation window. By acquiring and analyzing traffic information in advance in the range of the near main noise source, the prediction of the upcoming noise condition of the main noise source is realized, the control of the ventilation and sound insulation window before the occurrence of the noise can be realized based on the prediction, the interference of the noise to a user is further reduced, the experience of resting, working or learning of the user is improved, the life quality is improved, and the problem that the ventilation and sound insulation window cannot timely change the state of the ventilation and sound insulation window according to the noise condition because the noise is not timely detected in the prior art is solved.
In one possible embodiment, the road condition data includes traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the vehicle flow speed in the preset travel distance range of the target noise section is greater than or equal to 30km/h, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
Specifically, the road condition data may include traffic speed data, where the traffic speed may be an average speed of traffic within a preset travel distance range of the target noise road section, and the traffic speed data may be obtained by the navigation software. If the vehicle flow speed obtained by the APP of the intelligent terminal through the navigation software is greater than or equal to 30km/h, the APP can predict that theoretical noise data of the road condition data generation target noise road section is about to approach to a sound insulation control critical value.
It can be further described that the sound insulation control critical value is set to 45 db under the default state, the sound insulation control critical value can be adjusted according to personal habits of users to whom the ventilation and sound insulation window belongs and environments where the users are located, so as to meet diversified demands of the users.
In summary, the embodiment of the application can predict theoretical noise data by acquiring the traffic flow speed in the preset travel distance range of the target noise road section, connect the predicted and analyzed traffic flow speed with noise which is not easy to predict and analyze, and meet the tolerance of different users to external noise under different conditions by the preset sound insulation control critical value, enrich the choices of the users and enlarge the application range of the method.
In one possible embodiment, the road condition data includes traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the traffic flow speed in the preset travel distance range of the target noise section indicates that the traffic flow is in a congestion state, predicting that theoretical noise data of the target noise section cannot reach a sound insulation control critical value within a first preset duration.
Specifically, the navigation software sends the traffic flow speed data in the preset travel distance range of the target noise road section to the APP of the intelligent terminal, the APP can acquire the traffic flow speed in the traffic flow speed data, and judge that the traffic flow is in a congestion state according to the traffic flow speed, if the traffic flow speed is 5km/h, the congestion condition is judged to occur in the preset travel distance range, and the predicted theoretical noise data can be generated through the road condition data, the theoretical noise data cannot reach a sound insulation control critical value in the first preset duration, and the first preset duration can be determined according to the average value of the traffic congestion time of the road section in the preset travel range for thirty days.
In summary, according to the scheme, the traffic flow speed is used for judging that the traffic flow in the preset travel distance range of the target noise section is in a congestion state, and the noise volume of the main noise source is judged not to be greatly increased within the first preset duration. The scheme enriches the analysis capability of the method for different real-time road conditions and expands the application range.
In a possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
obtaining the hit information in the preset travel distance range of the target noise road section;
and under the condition that hit information exists in the preset travel distance range of the target noise road section and the number of lanes of the target noise road section is smaller than or equal to the preset number of lanes, predicting that the theoretical noise data of the target noise road section cannot reach a sound insulation control critical value within a second preset time period, wherein the second preset time period is longer than the first preset time period.
Specifically, the accident information may be obtained by the navigation software, the preset number of lanes may be determined according to the actual situation of the target noise road section, the real-time data of the number of lanes of the target noise road section may be provided by the navigation software, and the navigation software may send a prompt to the driver of the vehicle to which the navigation software belongs, for example, the left lane has an accident, cannot pass, and please walk the right two lanes. The navigation software may send the hit information and the number of lanes of the target noise section to a cloud server, where the cloud server may send the hit information and the number of lanes of the target noise section to the APP of the intelligent terminal when the APP of the intelligent terminal sends a request. If the number of lanes of the target noise road section is smaller than or equal to the preset lanes, predicting that theoretical noise data of the target noise road section cannot reach a sound insulation control critical value within a second preset time period, wherein the second preset time period is longer than the first preset time period.
It can be further explained that, considering that the hit information is complex, the influence of different hit information on road conditions is different, if the number of lanes of the target noise road section is equal to the preset lane, the second preset duration may be 1.1 times the first preset duration, and if the number of lanes of the target noise road section is less than the preset lane, the second preset duration may be 1.2 times the first preset duration.
In summary, the scheme considers the influence of the accident information and the real-time lanes on the traffic flow, determines different second preset time periods according to the number of the real-time lanes, and ensures that the noise volume of the main noise source does not change greatly within the second preset time periods.
In a possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
acquiring bicycle weight data of a vehicle driving into a preset travel distance range of the target noise road section;
and under the condition that the weight of a bicycle of the vehicle driving into the preset travel distance range of the target noise section is larger than the preset weight, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
Specifically, the bicycle weight data may be obtained by the navigation software in the smart phone of the user to which the vehicle belongs, for example, the user to which the vehicle belongs may register the own vehicle type, such as a car, an SUV, a middle-sized vehicle or a large-sized vehicle, when registering the account of the navigation software, or may generate a specific bicycle weight value according to the information specifically input by the user to which the vehicle belongs, such as a brand of the vehicle, a specific model, and the like. The navigation software can send the information to the APP of the intelligent terminal through the cloud server, and the preset weight can be 1.5 tons, namely the weight upper limit of a common household vehicle.
It can be explained that when the vehicle information is sent to the APP, if the vehicle type information is received, a bicycle weight, such as 1.2 tons of sedan, 1.4 tons of SUV, 2.1 tons of medium-sized vehicle, 3 tons of large-sized vehicle, etc., is generated according to different vehicle types, and this value can be compared with the preset weight, and if the specific bicycle weight is received, it is directly compared with the preset weight.
Considering that the noise generated by large and medium-sized automobiles exceeding a certain weight is far higher than that of common household automobiles, if the weight of the bicycle is larger than the preset weight, the method predicts that the theoretical noise data of the target noise section is about to reach the sound insulation control critical value.
In summary, the method judges whether large and medium-sized vehicles are about to enter the target noise road section or not by comparing the weight of the vehicle in the preset travel distance range of the target noise road section with the preset weight, and determines that theoretical noise data is about to reach a sound insulation critical value based on the judgment. By the scheme, the acquisition and processing capacity of the method for traffic information is further improved, so that the prediction of noise data is more comprehensive.
In a possible embodiment, the generating the slip control command of the ventilation sound insulation window according to the theoretical noise data includes:
and generating a slip control instruction of the ventilation sound insulation window under the condition that the theoretical noise data is about to reach the sound insulation control critical value and the ventilation sound insulation window is in a ventilation state so as to switch the ventilation sound insulation window to a sound insulation state.
Specifically, the ventilation state may be understood as a ventilation sound insulation window open state, and the sound insulation state may be understood as a ventilation sound insulation window closed state. The slip control command may include changing the vent window from an open to a closed state. The ventilation state or the sound insulation state can be determined through the position sensor of the ventilation sound insulation window, and the APP of the smart phone can acquire the state of the ventilation sound insulation window through the position sensor.
It can be explained that when the theoretical noise data reach the sound insulation control critical value, and the state of the ventilation sound insulation window acquired by the position sensor is a ventilation state, the APP of the smart phone sends a slip control instruction to the driving module of the ventilation sound insulation window, so that the ventilation sound insulation window is adjusted to be in a sound insulation state.
In other examples, when the theoretical noise data does not reach the sound insulation control threshold, and the state of the ventilation sound insulation window acquired by the position sensor is a sound insulation state, the APP of the smart phone may send a slip control command to the driving module of the ventilation sound insulation window, where the slip control command may include adjusting the ventilation sound insulation window from the sound insulation state to the ventilation state.
In summary, the scheme automatically sends the slip control instruction to the ventilation sound insulation window and determines the execution mode by comparing the theoretical noise data with the sound insulation control critical value and judging the state of the ventilation sound insulation window. Before the upcoming noise affects the main noise source, the ventilation sound insulation window is automatically adjusted to be in a sound insulation state, or when the upcoming noise is judged not to affect the main noise source, the ventilation sound insulation window is automatically adjusted to be in a ventilation state. According to the scheme, the physical burden of a user to whom the ventilation sound insulation window belongs is reduced, the intelligent development of home is promoted, the ventilation sound insulation window is controlled before noise occurs, the interference of the noise to the user is further reduced, the experience of resting, working or learning of the user is improved, meanwhile, when no noise pollution is predicted, the ventilation of the user can be helped, and the quality of life is improved.
In a possible embodiment, the control method of the electric sliding type safety ventilation sound insulation window further comprises the following steps:
under the condition that the road section with the target noise enters the target auxiliary monitoring vehicle, obtaining the road section actual measurement noise data collected by the target auxiliary monitoring vehicle;
and calculating the execution time of the slip control command based on the distance between the target noise section and the installation position of the ventilation sound insulation window under the condition that the actually measured noise data is larger than the preset noise volume.
Specifically, the target auxiliary monitoring vehicle may be a vehicle provided with an APP of the intelligent terminal, where the APP of the intelligent terminal has a function of collecting surrounding real-time noise, and may convert the surrounding real-time noise into actual measurement noise data, and the noise data unit may be decibels. The actually measured noise data can be transmitted to the cloud server in real time, and if the target auxiliary monitoring vehicle runs into a target noise section, the cloud server can transmit the actually measured noise data to the APP of the intelligent terminal of the user to which the ventilation sound insulation window belongs.
The preset noise volume defaults to 55 db, and the noise volume can also be set by the user to whom the ventilation sound insulation window belongs. The distance between the target noise section and the installation position of the ventilation and sound insulation window can be determined by the influence range of traffic noise, for example, the influence range of traffic noise can be 500 meters, the distance can be 500 meters, the execution time refers to that after the execution time passes, the APP of the intelligent terminal of the user of the ventilation and sound insulation window can send a slip control instruction to the ventilation and sound insulation window.
It can be explained that the target auxiliary monitoring vehicle can send the distance between itself and the ventilation sound insulation window to the APP of the user intelligent terminal of the ventilation sound insulation window in real time, when the target auxiliary monitoring vehicle enters the target noise road section for the first time, the speed of the target auxiliary monitoring vehicle and the distance between the target auxiliary monitoring vehicle and the ventilation sound insulation window are recorded, and by the data, the APP of the user intelligent terminal of the ventilation sound insulation window can calculate the time used when the target auxiliary monitoring vehicle reaches the position 500 meters away from the ventilation sound insulation window, and the time can be the execution time. When the actually measured noise data is larger than the preset noise volume, the APP of the intelligent user terminal of the ventilation sound insulation window sends a slip control instruction to the ventilation sound insulation window after the execution time.
In summary, the scheme is characterized in that actually measured noise data collected by the target auxiliary monitoring vehicle is used for judging whether the main noise source is influenced according to the basic principle that the data transmission speed is faster than the sound speed and the obtained actually measured noise data, judging the arrival time of the noise according to the position and the speed of the target auxiliary monitoring vehicle, and sending a slip control instruction to the ventilation sound insulation window according to the time. According to the scheme, the ventilation and sound insulation window can be controlled in a time delay manner, the ventilation state and the sound insulation state of the ventilation and sound insulation window are utilized to the maximum extent, the balance of ventilation and sound insulation requirements of users is met, and the experience of the users is improved.
In a second aspect of the present application, a control device for an electric sliding type safety ventilation sound insulation window is provided, as shown in fig. 2, where the device may include:
an obtaining module 201, configured to obtain road condition data within a preset travel distance range of a target noise section, where the target noise section is a main noise source associated with an installation position of the ventilation and sound insulation window;
a prediction module 202, configured to predict theoretical noise data of the target noise road section based on the road condition data;
and the generating module 203 is configured to generate a slip control command of the ventilation sound insulation window according to the theoretical noise data.
In a third aspect of the embodiment of the present application, as shown in fig. 3, an electronic device 30 includes at least one processor 301, and at least one memory 302 connected to the processor, where the processor is configured to call a program instruction in the memory, and execute the control method of the electric sliding type safety ventilation sound insulation window according to any one of the first aspect.
A fourth aspect of the embodiment of the present application provides a storage medium, where the storage medium includes a stored program, where, when the program runs, a device where the storage medium is controlled to execute a control method for an electric sliding type safety ventilation sound insulation window according to any one of the first aspect.
By means of the above embodiments, the embodiment of the present application provides a control method and a device for an electric sliding type safety ventilation sound insulation window, where the method includes: and acquiring road condition data in a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of the ventilation sound insulation window, predicting theoretical noise data of the target noise road section based on the road condition data, and generating a slip control instruction of the ventilation sound insulation window according to the theoretical noise data. The target noise section is determined through the installation position of the ventilation sound insulation window, the preset travel distance range of the target noise section is determined according to the user requirement or default setting, the road condition data in the preset travel distance range is obtained to generate the theoretical noise data of the target noise section in advance, and the ventilation sound insulation window is controlled according to the theoretical noise data.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present application also provide a computer program product comprising computer software instructions that, when run on a processing device, cause the processing device to perform a flow in a method of controlling an electrically-sliding safety-ventilation sound-insulation window as in the corresponding embodiment of fig. 1.
The computer program product described above includes one or more computer instructions. When the above-described computer program instructions are loaded and executed on a computer, the processes or functions described above according to embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, from one website, computer, server, or data center by wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above-described method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims (10)

1. The control method of the electric sliding type safety ventilation sound insulation window is characterized by comprising the following steps of:
acquiring road condition data in a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of the ventilation sound insulation window;
predicting theoretical noise data of the target noise road section based on the road condition data;
and generating a slip control instruction of the ventilation sound insulation window according to the theoretical noise data.
2. The method of claim 1, wherein the traffic data comprises traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the vehicle flow speed in the preset travel distance range of the target noise section is greater than or equal to 30km/h, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
3. The method of claim 1, wherein the traffic data comprises traffic speed data,
the predicting theoretical noise data of the target noise road section based on the road condition data includes:
and under the condition that the traffic flow speed in the preset travel distance range of the target noise section indicates that the traffic flow is in a congestion state, predicting that theoretical noise data of the target noise section cannot reach a sound insulation control critical value within a first preset duration.
4. A method according to claim 3, further comprising:
obtaining hit information in a preset travel distance range of the target noise road section;
and under the condition that hit information exists in the preset travel distance range of the target noise road section and the lane number of the target noise road section is smaller than or equal to the preset lane number, predicting that the theoretical noise data of the target noise road section cannot reach a sound insulation control critical value within a second preset time period, wherein the second preset time period is longer than the first preset time period.
5. The method as recited in claim 1, further comprising:
acquiring bicycle weight data of a vehicle driving into a preset travel distance range of the target noise road section;
and under the condition that the weight of a bicycle of the vehicle driving into the preset travel distance range of the target noise section is larger than the preset weight, predicting that the theoretical noise data of the target noise section is about to reach a sound insulation control critical value.
6. The method of any one of claims 1-5, wherein the generating slip control commands for the vent sound insulation window from the theoretical noise data comprises:
and generating a slip control instruction of the ventilation sound insulation window under the condition that the theoretical noise data is about to reach the sound insulation control critical value and the ventilation sound insulation window is in a ventilation state so as to switch the ventilation sound insulation window to a sound insulation state.
7. The method of any one of claims 1-5, further comprising:
under the condition that the road section with the target noise enters a target auxiliary monitoring vehicle, obtaining road section actual measurement noise data collected by the target auxiliary monitoring vehicle;
and under the condition that the actually measured noise data is larger than the preset noise volume, calculating the execution time of the slippage control instruction based on the distance between the target noise section and the installation position of the ventilation sound insulation window.
8. A control device for an electric sliding safety ventilation sound insulation window, comprising:
the acquisition module is used for acquiring road condition data in a preset travel distance range of a target noise road section, wherein the target noise road section is a main noise source associated with the installation position of the ventilation and sound insulation window;
the prediction module is used for predicting theoretical noise data of the target noise road section based on the road condition data;
and the generation module is used for generating a slip control instruction of the ventilation sound insulation window according to the theoretical noise data.
9. An electronic device comprising at least one processor and at least one memory coupled to the processor, wherein the processor is configured to invoke program instructions in the memory to perform the method of controlling an electrically-powered sliding safety-ventilation sound-insulation window of any one of claims 1 to 7.
10. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the control method of the electric sliding safety ventilation sound insulation window according to any one of claims 1 to 7.
CN202310110875.6A 2023-02-09 2023-02-09 Control method and device for electric sliding type safety ventilation sound insulation window Pending CN116733341A (en)

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Application Number Priority Date Filing Date Title
CN202310110875.6A CN116733341A (en) 2023-02-09 2023-02-09 Control method and device for electric sliding type safety ventilation sound insulation window

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310110875.6A CN116733341A (en) 2023-02-09 2023-02-09 Control method and device for electric sliding type safety ventilation sound insulation window

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117690303A (en) * 2024-02-04 2024-03-12 四川三元环境治理股份有限公司 Noise early warning system, device and early warning method based on traffic data acquisition

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117690303A (en) * 2024-02-04 2024-03-12 四川三元环境治理股份有限公司 Noise early warning system, device and early warning method based on traffic data acquisition
CN117690303B (en) * 2024-02-04 2024-04-26 四川三元环境治理股份有限公司 Noise early warning system, device and early warning method based on traffic data acquisition

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