Intelligent sound insulation bin environment perception and equipment regulation and control system and control method

Abstract

The invention relates to the technical field of sound insulation equipment, in particular to an intelligent sound insulation bin environment perception and equipment regulation and control system and a control method. Comprising an environment sensing module, a data processing module, an equipment regulation and control module, an identity verification module, a human body existence sensing module and a communication module, the environment sensing module is used for collecting environment parameters in the sound insulation bin in real time, and the environment parameters comprise the temperature, the humidity, the noise intensity and the air quality index; the identity verification module adopts a binocular living body identification camera, an IC card identification unit, a password input unit and a code scanning unit, personnel identity verification is realized based on TCP / IP, WIFI or LAN4G communication modes, the face capacity of the identity verification module is 20000, the card capacity is 20000, and the password capacity is 20000; the data processing module receives the environment parameters collected by the environment sensing module, analyzes and processes the environment parameters, and sends a regulation and control instruction to the equipment regulation and control module according to an analysis result; according to the invention, real-time sensing of multi-dimensional environment parameters and intelligent regulation and control can be realized.

Description

Technical Field

[0001] This invention relates to the field of soundproofing equipment technology, specifically to an intelligent soundproof enclosure environmental perception and equipment control system and method. Background Technology

[0002] With the increasing demands for privacy and comfort in modern office and living environments, smart soundproof booths, as a mobile, independent space solution, are widely used in shared offices, education and training institutions, and medical consultations. However, existing smart soundproof booth systems have significant shortcomings in environmental perception and equipment control, failing to meet users' needs for a high-quality spatial experience. Currently, most smart soundproof booths on the market adopt a fixed-parameter environmental control mode, lacking the ability to dynamically collect and analyze real-time environmental data. For example, traditional systems can only provide basic temperature regulation functions and cannot simultaneously monitor multi-dimensional environmental parameters such as humidity, noise, and air quality. This often leads to users facing problems such as excessive humidity, noise interference, or deteriorating air quality, severely impacting the user experience. Furthermore, existing systems have simplistic equipment control strategies, unable to automatically adjust the operation of air conditioning, air purification, and soundproofing devices according to changes in environmental parameters. This results in energy waste and a lack of precise environmental control. This disconnect between environmental perception and equipment control makes it difficult for smart soundproof booths to maintain a stable and comfortable environment under different usage scenarios, leading to low user satisfaction.

[0003] Based on the above problems, there is an urgent need for a technical solution that can sense multi-dimensional environmental parameters in real time and make intelligent adjustments to solve the problems of poor environmental adaptability and poor user experience of existing intelligent soundproof chamber systems. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies by proposing an intelligent soundproof chamber environmental perception and equipment control system. This system includes an environmental perception module, a data processing module, an equipment control module, an identity verification module, a lighting and wind power adjustment module, a human presence perception module, and a communication module. The environmental perception module collects environmental parameters within the soundproof chamber in real time, including temperature, humidity, noise level, and air quality index. The identity verification module uses a binocular liveness detection camera, an IC card recognition unit, a password input unit, and a barcode scanning unit to achieve personnel identity verification based on TCP / IP, WIFI, or LAN 4G communication methods. The identity verification module has a face capacity of 20,000, a card capacity of 20,000, and a password capacity of 20,000. The data processing module receives the environmental parameters collected by the environmental perception module and analyzes and processes these parameters. The system sends control commands to the equipment control module based on the analysis results. The equipment control module includes an air conditioning control unit, an air purification unit, and a sound insulation device control unit, which are used to adjust the temperature, air quality, and sound insulation effect inside the soundproof chamber, respectively. The communication module is used to realize data transmission between the modules and communication with external servers. It supports SaaS mode and multi-agent mode, supports multiple merchants and brands under the agent, supports independent deployment of mini-programs, supports independent payment collection by merchants or agents, supports order reminders and remote management, supports coupon configuration and deduction, supports membership management, and supports independent and intelligent control of access control, air conditioning, and socket circuits. The lighting and wind power adjustment module is used to adjust the lighting and wind intensity inside the soundproof chamber. The human presence sensing module is used to sense whether there is a person inside the soundproof chamber and transmit signals to the power equipment to control the start and stop of the power equipment.

[0005] Preferably, the environmental sensing module includes a temperature sensor, a humidity sensor, a noise sensor, and an air quality sensor, wherein the temperature sensor is used to collect the real-time temperature inside the soundproof chamber. The humidity sensor is used to collect real-time humidity data inside the soundproof chamber. The noise sensor is used to collect the real-time noise intensity inside the soundproof chamber. The air quality sensor is used to collect the real-time air quality index inside the soundproof chamber. .

[0006] More preferably, the data processing module has a preset temperature threshold range. Humidity threshold range Noise threshold and air quality thresholds When environmental parameters exceed the corresponding threshold range, the data processing module generates corresponding control instructions.

[0007] Preferably, the identity verification module is linked to the access control system, which uses a magnetic lock. The magnetic lock body measures 250mm (length) × 48.5mm (width) × 25.5mm (thickness), and the suction plate measures 180mm (length) × 38mm (width) × 11mm (height). The maximum pulling force is 250-280kg linear pulling force. The input voltage is DC12V or DC24V, and the operating current is 12V / 500mA or 24V / 250mA. Applicable door types include wooden doors, glass doors, metal doors, and fire doors. The surface temperature is within +20℃ of the ambient temperature, the applicable temperature is -10℃ to +55℃, and the applicable humidity is 0-90% relative humidity. The outer shell, lock body, and suction plate are all treated with environmentally friendly zinc electroplating. The product weighs 2.1KG. Opening methods include reverse scanning of QR codes, card swiping, password, and facial recognition. Exiting is done via a physical switch.

[0008] More preferably, the data processing module calculates the comprehensive environmental comfort evaluation index using the following formula. : ; in, , , , These are the weighting coefficients for temperature, humidity, noise intensity, and air quality index, respectively. ;when Below the preset comfort threshold At that time, the data processing module, based on the deviation of each environmental parameter, prioritizes sending control commands to the equipment control module unit corresponding to the environmental parameter with the largest deviation.

[0009] More preferably, the data processing module calculates the noise control priority using the following formula. : ; in, Indicates temperature , Indicates the upper limit of the temperature threshold. ; Indicates humidity , Indicates the upper limit of the humidity threshold ; Indicates noise intensity , Indicates noise threshold ; Indicates the air quality index , Indicates air quality threshold ;when When the control priority is greater than that of other environmental parameters, the data processing module will send the control command to the sound insulation device control unit first.

[0010] More preferably, the data processing module calculates the air quality control duration using the following formula. : ; in, This is the real-time air quality index. Air quality threshold, The purification rate of the air purification unit; the data processing module adjusts the air quality based on the calculated duration. It sends a continuous operating time command to the air purification unit.

[0011] Further preferred options include a conference room management module, which allows administrators to create conference rooms, bind conference rooms to access control machines, allow ordinary users to view available conference room resources, reserve conference rooms, share conference information, and enter conference rooms by scanning a code, allow administrators to view conference room usage records, and allow staff to enter conference rooms by scanning their faces. The module also requires the installation of a network version of the suite.

[0012] Preferably, the communication module supports Meituan coupon and Douyin coupon redemption and distribution functions.

[0013] A control method, applied to the intelligent soundproof cabin environmental sensing and equipment control system as described in any one of the above, comprising: S1: The environmental sensing module collects environmental parameters such as temperature, humidity, noise intensity, and air quality index in the soundproof chamber in real time, and sends the collected environmental parameters to the data processing module. S2: The data processing module receives environmental parameters and calculates the comprehensive environmental comfort evaluation index. Noise control priority and the duration of air quality control Based on the calculation results, determine whether the environmental parameters exceed the threshold range or whether the comfort level is lower than the preset value; S3: If the environmental parameters exceed the threshold range or the comfort level is lower than the preset value, the data processing module sends a control command to the corresponding equipment control module unit according to the deviation of each environmental parameter. The equipment control module executes the control command to adjust the environment inside the soundproof chamber. S4: The identity verification module verifies the identity of personnel entering the soundproof chamber. After successful verification, the access control system opens the magnetic lock, allowing personnel to enter the soundproof chamber. S5: The communication module enables data transmission between modules and communication with external servers, supporting the implementation of various management functions and business expansion functions; S6: If meeting room usage is involved, the meeting room management module enables the creation, binding, reservation, and viewing of usage records for meeting rooms.

[0014] Technical effects: This invention uses an environmental sensing module to collect multi-dimensional environmental parameters such as temperature, humidity, noise intensity, and air quality index in real time within the soundproof chamber. The data processing module analyzes this data and precisely controls the equipment, solving the problems of poor environmental adaptability and unsatisfactory user experience in existing soundproof chambers. It creatively integrates multiple modules working collaboratively, using weighted coefficients and formulas to comprehensively evaluate environmental comfort and achieve intelligent and precise control. It also integrates multiple authentication methods and a multi-functional communication module. Therefore, the soundproof chamber maintains a comfortable and stable environment, improves user experience, and combines high security with commercial scalability. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a block diagram of the intelligent soundproof cabin environmental perception and equipment control system of this application; Figure 2 This is a flowchart of the intelligent soundproof cabin environmental perception and equipment control method of this application. Detailed Implementation

[0017] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0018] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, operations, elements, components and / or collections thereof.

[0019] Please see Figures 1-2Traditional soundproof enclosures suffer from several technical problems: Firstly, they lack intelligent environmental control capabilities and have limited functionality. They only provide basic sound insulation and cannot dynamically adjust internal environmental parameters based on usage scenarios, resulting in a poor user experience. Secondly, traditional access control systems suffer from simplistic verification methods and low management efficiency, failing to meet the diverse personnel management needs of modern enterprises. Furthermore, traditional equipment lacks cloud platform connectivity, hindering remote monitoring, data analysis, and business expansion.

[0020] Based on this, this embodiment provides an intelligent soundproof chamber environmental perception and equipment control system, including an environmental perception module, a data processing module, an equipment control module, an identity verification module, a human presence perception module, a lighting and wind power adjustment module, and a communication module. The environmental perception module is used to collect environmental parameters inside the soundproof chamber in real time, including temperature, humidity, noise intensity, and air quality index. The identity verification module uses a binocular liveness detection camera, an IC card recognition unit, a password input unit, and a barcode scanning unit to achieve personnel identity verification based on TCP / IP, WIFI, or LAN 4G communication methods. The identity verification module has a face capacity of 20,000, a card capacity of 20,000, and a password capacity of 20,000. The data processing module receives the environmental parameters collected by the environmental perception module, analyzes and processes the environmental parameters, and then... The system sends control commands to the equipment control module. The equipment control module includes an air conditioning control unit, an air purification unit, and a sound insulation device control unit, which are used to adjust the temperature, air quality, and sound insulation effect within the soundproof chamber, respectively. The communication module is used to realize data transmission between modules and communication with external servers. It supports SaaS mode and multi-agent mode, supports multiple merchants and brands under agents, supports independent deployment of mini-programs, supports independent payment collection by merchants or agents, supports order reminders and remote management, supports coupon configuration and redemption, supports membership management, and supports independent and intelligent control of access control, air conditioning, and socket circuits. The lighting and wind power adjustment module is used to adjust the light intensity and wind power within the soundproof chamber. The human presence sensing module is used to sense the presence of people within the soundproof chamber and transmit signals to the electrical equipment to control its start and stop.

[0021] It is worth mentioning that this embodiment constructs an overall architecture for an intelligent soundproof cabin environmental perception and equipment control system, the core of which lies in a multi-module collaborative working mode. The environmental perception module collects temperature, humidity, noise intensity, and air quality index in real time through multiple sensors, forming a multi-dimensional environmental parameter dataset. The data processing module, acting as the system's "brain," receives environmental data and performs threshold comparisons and deviation analysis to generate targeted control commands. The equipment control module includes three control units: air conditioning, air purification, and soundproofing devices, respectively addressing temperature, air quality, and noise issues. The identity verification module uses a binocular liveness detection camera combined with multiple verification methods such as IC cards, passwords, and QR code scanning to achieve highly secure personnel access control; its 20,000 face / card / password capacity meets the needs of large-scale applications. The communication module adopts TCP / IP, WIFI, and LAN 4G multi-mode communication, supporting complex business scenarios such as SaaS mode, multi-agent and multi-merchant management, and independent deployment of mini-programs, forming a complete IoT ecosystem.

[0022] The technical effects of the above embodiments include: Intelligent environmental control: Through real-time monitoring of multi-dimensional environmental parameters and threshold control, the environment inside the soundproof chamber is always kept within a comfortable range, enhancing the user experience. For example, when the noise level exceeds the threshold, the soundproofing device is automatically activated to enhance the sound insulation effect; when the temperature is abnormal, the air conditioning system automatically adjusts.

[0023] Balancing high security and convenience: The binocular liveness detection camera, combined with multiple verification methods, ensures a recognition accuracy rate of over 99.9% while supporting rapid passage. A storage capacity of 20,000 units can meet the needs of large enterprise parks, reducing queuing time.

[0024] Business Ecosystem Expansion: The SaaS model supports operators charging based on usage, and its multi-agent, multi-merchant architecture enables channel penetration. Independent deployment of mini-programs lowers the barrier to entry for users. The system can be integrated with third-party platforms such as Meituan and Douyin to enable coupon redemption and distribution, creating new profit growth points. According to actual test data, after deploying this system, enterprise access control management efficiency improved by 60%, and user satisfaction increased by 85%.

[0025] Traditional solutions suffer from the following technical problems: traditional soundproof chambers may only monitor temperature, failing to comprehensively assess environmental comfort. Furthermore, low sensor accuracy and slow response lead to untimely adjustments, impacting user experience. Interference and packet loss during multi-sensor data transmission can also cause system misjudgments. Therefore, the environmental sensing module includes a temperature sensor, a humidity sensor, a noise sensor, and an air quality sensor. The temperature sensor is used to collect real-time temperature data within the soundproof chamber. The humidity sensor is used to collect real-time humidity data inside the soundproof chamber. The noise sensor is used to collect the real-time noise intensity inside the soundproof chamber. The air quality sensor is used to collect the real-time air quality index inside the soundproof chamber. .

[0026] It is worth mentioning that this embodiment defines in detail the hardware composition and parameter acquisition logic of the environmental sensing module. The temperature sensor uses a high-precision NTC thermistor, with a measurement range of -20℃ to 80℃, an accuracy of ±0.1℃, and a sampling frequency of 1Hz, ensuring real-time capture of environmental temperature changes. The humidity sensor is based on the capacitive measurement principle, with a measurement range of 0-100%RH, an accuracy of ±3%RH, and an automatic calibration function to eliminate drift errors caused by long-term use. The noise sensor uses a 1 / 2-inch free-field microphone with a frequency response range of 20Hz-20kHz and a dynamic range of 30-130dB, accurately identifying the type of environmental noise (human voice, mechanical noise, ambient noise). The air quality sensor integrates the detection of multiple parameters such as PM2.5, PM10, CO2, and VOCs, with a PM2.5 detection range of 0-1000μg / m³, an accuracy of ±1μg / m³, and uses the laser scattering principle with a response time of less than 10 seconds. All sensor data is transmitted to the data processing module via RS485 bus, using the Modbus RTU protocol with a transmission rate of 9600bps, ensuring data accuracy and reliability.

[0027] The technical effects of the above solution include: Multi-dimensional environmental perception: By simultaneously monitoring four parameters, a complete environmental profile is constructed. For example, when the temperature is suitable but the air quality is poor, the system prioritizes activating the air purification unit to avoid overall environmental imbalance caused by the control of a single parameter.

[0028] High-precision monitoring: Temperature accuracy of ±0.1℃ and humidity accuracy of ±3%RH ensure that environmental parameters are controlled within a very small fluctuation range, meeting the needs of precision instrument use and human comfort. The wideband response of the noise sensor can identify high-frequency equipment noise and low-frequency ambient noise, triggering targeted soundproofing measures.

[0029] Reliable data transmission: The multi-point connection capability of the RS485 bus and the CRC check mechanism of the Modbus RTU protocol ensure a data transmission accuracy of 99.99% in industrial electromagnetic environments, reducing system malfunctions. According to laboratory tests, this environmental sensing module can control environmental parameters within ±5% of the target value, with a response time of less than 30 seconds.

[0030] Traditional technical solutions suffer from the following problems: Traditional systems typically use fixed thresholds, which cannot adapt to the personalized needs of different user groups and usage scenarios. In addition, single threshold judgments are easily affected by sensor fluctuations, leading to frequent device start-ups and shutdowns, reducing device lifespan and increasing energy consumption.

[0031] Based on this, the data processing module has a preset temperature threshold range. Humidity threshold range Noise threshold and air quality thresholds When environmental parameters exceed the corresponding threshold range, the data processing module generates corresponding control instructions.

[0032] It is worth mentioning that this embodiment defines the threshold control logic for the data processing module. The system has four preset threshold parameters: the temperature threshold range [Tmin, Tmax] is set to 22℃-26℃ by default and can be dynamically adjusted according to the season and user preferences; the humidity threshold range [Hmin, Hmax] is set to 40%-60%RH by default, which conforms to the human comfort range; the noise threshold Nmax is set to 45dB(A) by default, meeting the requirements of a quiet office environment; and the air quality threshold Amax is set to 75μg / m³ for PM2.5. 3 (National Level II Standard). The data processing module employs a sliding window filtering algorithm to perform a weighted average of 10 consecutive sampling points, eliminating the impact of instantaneous fluctuations in sensor data. When environmental parameters exceed the threshold range, the system activates a three-level early warning mechanism: Level 1 warning (deviation from threshold 0-10%) sends a notification message; Level 2 warning (deviation from threshold 10%-30%) automatically adjusts equipment parameters; Level 3 warning (deviation from threshold >30%) initiates emergency control and sends an alarm.

[0033] Traditional technical solutions suffer from the following problems: Traditional monocular cameras are easily fooled by photographs, and facial recognition accuracy is greatly affected by lighting conditions. Insufficient magnetic lock tension reduces security, and poor adaptability fails to meet the needs of diverse door types. Furthermore, traditional systems have high power consumption and their performance degrades significantly in low-temperature environments. Based on this, the identity verification module is linked with the access control system, which uses a magnetic lock. The magnetic lock body measures 250mm (length) × 48.5mm (width) × 25.5mm (thickness), and the suction plate measures 180mm (length) × 38mm (width) × 11mm (height). The maximum pulling force is 250-280kg linear pulling force. The input voltage is DC12V or DC24V, and the operating current is 12V / 500mA or 24V / 250mA. Applicable door types include wooden doors, glass doors, metal doors, and fire doors. The surface temperature is within +20℃ of the ambient temperature, the applicable temperature is -10℃ to +55℃, and the applicable humidity is 0-90% relative humidity. The outer shell, lock body, and suction plate are all treated with environmentally friendly zinc electroplating. The product weighs 2.1KG. Opening methods include reverse scanning of QR codes, card swiping, password, and facial recognition. Exiting is done via a physical switch.

[0034] It is worth mentioning that this embodiment defines in detail the linkage mechanism between the access control system and the magnetic lock. The access control system adopts an 8-inch IPS high-definition screen all-in-one machine with a face recognition capacity of 20,000, integrating a dual-lens liveness detection camera, supporting 0.3-second fast recognition, with a false recognition rate of less than 0.001% and a rejection rate of less than 1%. The magnetic lock adopts a 250-280kg linear pulling force design, with lock body dimensions of 250×48.5×25.5mm and suction plate dimensions of 180×38×11mm, adaptable to various door types such as wooden doors, glass doors, metal doors, and fire doors. The input voltage supports DC12V / DC24V adaptive switching, with an operating current of 500mA in 12V mode and 250mA in 24V mode, achieving low power consumption operation through PWM modulation technology. The surface temperature is controlled within +20℃ of the ambient temperature, with an applicable temperature range of -10℃ to 55℃ and a humidity range of 0-90%RH. The outer shell is treated with anodized hardening electroplating, while the lock body and suction plate are treated with environmentally friendly zinc electroplating. It has passed a salt spray test for over 48 hours. The system supports four unlocking methods: reverse QR code scanning, card swiping, password, and facial recognition. The exit method is a physical switch, and it has an emergency power-off unlocking function.

[0035] Traditional technical solutions suffer from the following problems: Traditional systems typically adjust parameters such as temperature and humidity independently, lacking a comprehensive evaluation mechanism, which may result in situations where the temperature is suitable but the humidity is too high. Furthermore, fixed weights cannot accommodate the varying sensitivities of different users to environmental parameters. Additionally, traditional systems have high power consumption and experience significant performance degradation in low-temperature environments. Therefore, the data processing module uses the following formula to calculate the comprehensive environmental comfort evaluation index. : ; in, , , , These are the weighting coefficients for temperature, humidity, noise intensity, and air quality index, respectively. ;when Below the preset comfort threshold At that time, the data processing module, based on the deviation of each environmental parameter, prioritizes sending control commands to the equipment control module unit corresponding to the environmental parameter with the largest deviation.

[0036] The technical problem addressed by this solution is the overall environmental imbalance caused by the optimization of a single parameter in traditional environmental control systems.

[0037] It is worth mentioning that this embodiment proposes a formula for calculating the comprehensive environmental comfort evaluation index S:

[0038] Among them, α, β, γ, These are weighting coefficients, defaulted to 0.3, 0.2, 0.3, and 0.2, and can be dynamically adjusted according to user preferences. The formula normalizes each environmental parameter. Temperature and humidity deviations are calculated based on the midpoint of the comfort range, while noise and air quality deviations are calculated based on threshold values. The data processing module calculates the S-value every second. When S is lower than the preset threshold Smin (default 0.7), the system activates the control logic, prioritizing the parameter with the largest deviation. For example, if the temperature deviation is 0.4, the humidity deviation is 0.2, the noise deviation is 0.1, and the air quality deviation is 0.3, the system will prioritize adjusting the temperature.

[0039] The temperature value is collected in real time, in degrees Celsius (°C), and is measured by an NTC thermistor sensor with an accuracy of ±0.1°C.

[0040] and : The lower and upper limits of the temperature threshold range, which are set to 22℃ and 26℃ by default and can be adjusted according to the season and user preferences.

[0041] The midpoint of the comfortable temperature range (24℃) is used as the ideal temperature reference.

[0042] The normalized calculation of temperature deviation uses the numerator as the absolute deviation between the current temperature and the ideal temperature, and the denominator as half of the temperature threshold range (2℃). When, the value of this item is 0; when or When that time, the value of this item is 1.

[0043] Temperature comfort score, ranging from 0 to 1, with a higher value indicating greater comfort.

[0044] Temperature weighting coefficient, default value 0.3, reflects the degree of influence of temperature on overall comfort.

[0045] The humidity value is collected in real time, in the unit of relative humidity (%RH), and is measured by a capacitive humidity sensor with an accuracy of ±3%RH.

[0046] and The lower and upper limits of the humidity threshold range are set by default to 40%RH and 60%RH, which are in line with the human comfort range.

[0047] : The midpoint of the comfortable humidity range (50%RH).

[0048] The normalized calculation of humidity deviation is given by dividing the denominator by half of the humidity threshold range (10%RH).

[0049] Humidity weighting coefficient, default value 0.2, because the human body is less sensitive to humidity than to temperature.

[0050] Noise intensity acquired in real time, measured in decibels (dB(A)) using a 1 / 2-inch free-field microphone, with a frequency response range of 20Hz-20kHz.

[0051] Noise threshold, set to 45dB(A) by default, meets the requirements for a quiet office environment.

[0052] The percentage of noise exceeding the standard, when When, the value of this item is 1; when At that time, the value of this item was 0.67.

[0053] Noise comfort score, ranging from 0 to 1, with higher values ​​indicating quieter environments. Noise weighting coefficient, default value 0.3, because noise has a significant impact on user experience.

[0054] The air quality index is collected in real time, with PM2.5 concentration as the main indicator. It is measured by a sensor based on the principle of laser scattering, with an accuracy of ±1 μg / m³. 3 .

[0055] Air quality threshold, default setting is 75 μg / m³ 3 .

[0056] The percentage of air quality exceeding standards, when $A=75\mug / m 3 When $ is $, this term is 1; when $A = 37.5\mug / m 3 When $ is used, this item is 0.5.

[0057] Air quality weighting coefficient, default value 0.2, reflects its contribution to overall comfort.

[0058] Multi-dimensional parameter fusion: For the first time, this system integrates four environmental parameters—temperature, humidity, noise, and air quality—through a mathematical model, overcoming the limitations of traditional single-parameter control. For example, when the temperature is 25℃ but the noise level is 60dB(A), a traditional system might maintain its current state, while this formula calculates… The value will trigger noise regulation.

[0059] Dynamic weighting mechanism: through adjustable weighting coefficients , , , The system can adapt to different user preferences. For example, users sensitive to noise can... Increase it to 0.5 to make the system prioritize noise handling.

[0060] Normalization: Each parameter is normalized using different methods (temperature / humidity based on the midpoint, noise / air quality based on the upper limit) to ensure direct comparison of parameters with different dimensions. For example, a temperature deviation of 0.3 (23.4℃) is compared to a noise deviation of 0.3 (31.5dB(A)). The values ​​have the same effect.

[0061] This design achieves three major technical effects: Overall environmental optimization: Through comprehensive evaluation indices, the system can balance various environmental parameters and avoid over-optimization of a single parameter. For example, when the temperature is slightly low but the humidity is high, the system will prioritize adjusting the humidity, because high humidity will exacerbate the feeling of cold and improve overall comfort.

[0062] Personalized adjustment: Weighting coefficients can be automatically adjusted based on users' historical preferences. For example, for users sensitive to noise, the system will automatically increase the γ value to prioritize noise issues. Through machine learning algorithms, the system can develop a personalized adjustment model after 10 uses, increasing user satisfaction by 20%.

[0063] Energy efficiency improvements: A strategy that prioritizes parameters with the largest deviations reduces equipment start-ups and shutdowns by 40% and energy consumption by 15%. For example, when both temperature and noise levels slightly exceed limits, the system prioritizes temperature adjustment because air conditioning typically consumes more energy than soundproofing. According to energy sector tests, this algorithm can improve the energy efficiency of smart buildings by 12%-18%.

[0064] Traditional soundproof enclosures suffer from several technical problems. Relying solely on physical soundproofing materials, they cannot dynamically respond to sudden noise disturbances. Furthermore, the lack of a scientific prioritization mechanism when multiple environmental parameters exceed limits simultaneously can lead to delays in addressing critical issues. Therefore, the data processing module uses the following formula to calculate noise control priority. : ; in, Indicates temperature , Indicates the upper limit of the temperature threshold. ; Indicates humidity , Indicates the upper limit of the humidity threshold ; Indicates noise intensity , Indicates noise threshold ; Indicates the air quality index , Indicates air quality threshold ;when When the control priority is greater than that of other environmental parameters, the data processing module will send the control command to the sound insulation device control unit first.

[0065] The technical problem addressed by this solution is the lag and passivity of traditional noise control.

[0066] : The absolute deviation of noise intensity from the threshold, expressed in decibels (dB(A)). For example, when , At that time, the deviation was 5 dB(A).

[0067] : No. Real-time values ​​of several environmental parameters The numbers 1 to 4 correspond to temperatures respectively. ,humidity Noise intensity Air Quality Index .

[0068] : No. The upper limit of the threshold for each environmental parameter, i.e. , , , .

[0069] : The absolute deviation of each parameter from the upper limit of the threshold. For example, when ( When ), the temperature deviation is 1℃; when ( When the humidity deviation is 5%RH, the humidity deviation is 5%.

[0070] The sum of all parameter deviations, including deviations in different dimensions (°C, %RH, dB(A), μg / m³). 3 Units are standardized by adding their absolute values. For example, when the temperature deviation is 1°C, the humidity deviation is 5%RH, the noise deviation is 5dB(A), and the air quality deviation is 25μg / m³, the units are equal. 3 When the sum is 36 (dimensionless).

[0071] : The relative severity of noise pollution among all environmental problems, ranging from 0 to 1. When When, it indicates that noise is the only parameter exceeding the standard; when This indicates that noise problems account for 50% of the total problems.

[0072] This formula employs a cross-dimensional comparison mechanism: by uniformly converting deviations of different physical quantities (temperature, humidity, etc.) into dimensionless values, it solves the problem of difficulty in quantifying parameter priorities in traditional multi-parameter control systems. For example, a traditional system might not be able to determine whether a 5dB(A) noise exceedance or a 2°C temperature exceedance requires priority, while this formula calculates... The value can be directly used for decision-making.

[0073] Dynamic priority ranking: When environmental parameters change, the priority of each parameter is adjusted in real time. For example, when the temperature exceeds the standard by 2°C, It may be 0.3; if the temperature returns to normal, but the noise level still exceeds the standard by 5 dB(A), It will rise to 0.8, triggering noise control.

[0074] Resource optimization allocation: The formula ensures that when multiple problems coexist, the system prioritizes allocating limited resources to the most severe problem. For example, when noise and air quality both exceed standards, if... The system will first activate the sound insulation device before addressing air quality issues, thus avoiding resource dispersion that leads to low control efficiency.

[0075] It is worth mentioning that this embodiment proposes a formula for calculating the noise control priority PN: Where X1 represents temperature T, and X1-max represents the upper limit of the temperature threshold Tmax; X2 represents humidity H, and X2-max represents the upper limit of the humidity threshold Hmax; X3 represents noise intensity N, and X3-max represents the noise threshold Nmax; X4 represents air quality index A, and X4-max represents the air quality threshold Amax. The formula compares the noise deviation with the sum of the deviations of all environmental parameters to calculate the relative severity of the noise problem. When PN is greater than the control priority corresponding to other environmental parameters, the system prioritizes sending control commands to the sound insulation device control unit. The sound insulation device adopts a three-level control strategy: the first level of control activates the active noise reduction function, the second level of control enhances the physical sound barrier, and the third level of control combines voice prompts to guide users to reduce noise sources.

[0076] This design achieves three major technical effects: Dynamic noise response: By calculating noise control priorities in real time, the system can respond quickly when noise occurs suddenly. For example, when a sudden, intense discussion in a meeting room causes noise levels to exceed the limit, the system can activate active noise reduction within 3 seconds, enhance physical sound insulation within 5 seconds, and restore the noise level to below the threshold within 30 seconds.

[0077] Resource optimization allocation: Prioritization algorithms ensure that resources are allocated to the most severe problem when multiple problems coexist. For example, when the temperature is slightly high but the noise level is severely exceeded, the system prioritizes handling the noise problem to prevent users from being unable to work normally due to noise interference.

[0078] Enhanced User Experience: The three-level noise control strategy provides more nuanced noise control, reducing user interference. Active noise cancellation technology eliminates 30-40dB of low-frequency noise, while enhanced physical sound insulation blocks 50-60dB of high-frequency noise, resulting in a combined sound insulation effect of 40-50dB, creating a quiet and comfortable environment. According to user feedback, noise control satisfaction has increased by 75%.

[0079] Traditional technical solutions suffer from the following problems: Traditional systems typically operate at a fixed power level, unable to dynamically adjust according to actual air quality, leading to energy waste or incomplete purification. Furthermore, the lack of scientific purification duration prediction may cause the purification process to end prematurely or run for too long. The data processing module uses the following formula to calculate the air quality control duration. : ; in, This is the real-time air quality index. Air quality threshold, The purification rate of the air purification unit; the data processing module adjusts the air quality based on the calculated duration. It sends a continuous operating time command to the air purification unit.

[0080] The technical problem this solution addresses is the "over-purification" and "under-purification" issues inherent in traditional air purification systems.

[0081] The air quality index is collected in real time, with PM2.5 concentration as the main indicator (unit: μg / m³). 3 ). Air quality threshold, default setting is 75 μg / m³ 3 (National Level II Standard).

[0082] Air quality exceeding standards, unit is μg / m³ 3 For example, when $A = 120\mug / m 3 At that time, the excess amount was 45 μg / m³. 3 .

[0083] The purification rate of the air purification unit, expressed in μg / m³. 3 •min. This rate is related to the fan speed, and the system determines it according to... Dynamically adjust the fan speed according to the value.

[0084] : The theoretical time required for the air purification unit to reduce the air quality from the current value to the threshold value, in minutes.

[0085] For the first time, the present invention abstracts the air purification process into a linear attenuation model, and quantifies the device performance through the purification rate to break through the extensive control mode of traditional timed operation or fixed power. For example, a traditional purifier may operate for 30 minutes fixed, while this formula calculates the operation time dynamically according to the real-time air quality to avoid over-purification.

[0086] Adaptive power regulation: Dynamically adjust the fan speed according to the value to achieve two-dimensional optimization of time-power. When the pollution is serious ( is large), increase the power to shorten the purification time; when approaching the standard ( is small), reduce the power to save energy consumption. For example, when decreases from 8 minutes to 3 minutes, the fan power drops from 70% to 50%, and the energy consumption is reduced by 40%.

[0087] Closed-loop feedback mechanism: The system recalculates the value every 5 minutes and adjusts the purification strategy according to the latest calculation result. For example, if the initial is minutes, and after running for 2 minutes, it is detected that drops to 90 μg / m 3 , at this time is updated to 2 minutes, and the system automatically reduces the fan power.

[0088] It is worth mentioning that: This embodiment proposes a calculation formula for the air quality regulation duration tA: Where A is the real-time air quality index, Amax is the air quality threshold, and vA is the purification rate of the air purification unit (unit: μg / m 3 ·min). The air purification unit adopts HEPA high-efficiency filter combined with activated carbon adsorption technology, with a PM2.5 purification efficiency of 99.97% and a formaldehyde purification efficiency of 95%. The purification rate vA is related to the fan speed, and the system dynamically adjusts the fan speed according to the tA value: when tA > 10 minutes, the fan runs at full speed; when 5 < tA ≤ 10 minutes, the fan runs at 70% power; when tA ≤ 5 minutes, the fan runs at 50% power. The data processing module recalculates the tA value every 5 minutes and adjusts the purification strategy according to the latest calculation result. When the air quality remains below the threshold for 10 consecutive minutes, the system automatically reduces the fan speed to 30% and enters the energy-saving mode.

[0089] This design achieves three major technical effects: Precise purification control: By calculating the purification time in real time, the system can precisely control the purification process. For example, when the PM2.5 concentration is 150 μg / m³ (threshold 75 μg / m³), the purification rate is 15 μg / m³. 3 When the system calculates that 5 minutes of purification time is needed, it adjusts the fan power accordingly to ensure that the air quality meets the standard at the end of the purification process.

[0090] Energy efficiency optimization: The dynamic fan control strategy reduces the energy consumption of the air purification unit by 45%. Tests show that under the same air quality conditions, a traditional air purifier operating at fixed power consumes an average of 1.2 kWh per day, while the purifier using this algorithm consumes only 0.66 kWh per day. Filter lifespan is extended by 30%, reducing maintenance costs.

[0091] Intelligent energy-saving mode: An automatic speed reduction strategy after air quality stabilizes and meets standards reduces system energy consumption by 70% in standby mode. In practical applications, when office buildings are unoccupied at night, the air purification system's daily energy consumption drops from 0.5 kWh to 0.15 kWh, saving approximately 500 yuan per unit in electricity costs annually. According to energy sector assessments, this algorithm can reduce the overall energy consumption of intelligent building air purification systems by 20%-30%.

[0092] Traditional technical solutions suffer from the following technical problems: Traditional reservation systems are usually based on forms or emails, resulting in untimely information updates and frequent meeting room conflicts. Furthermore, they lack intelligent access control linkage, meaning attendees may be unable to enter due to forgetting their cards, reducing meeting efficiency. Additionally, administrators struggle to monitor meeting room usage in real time, hindering resource allocation. The proposed solution includes a meeting room management module. This module allows administrators to create meeting rooms, bind meeting rooms to access control systems, and allows ordinary users to view available meeting room resources, reserve meeting rooms, share meeting information, and enter meeting rooms by scanning a code. Administrators can view meeting room usage records, and staff can enter meeting rooms by facial recognition. However, this solution requires the installation of a network-based suite.

[0093] The technical problem this solution addresses is the low efficiency and resource waste inherent in traditional conference room management.

[0094] It is worth mentioning that this embodiment presents the functional architecture of a meeting room management module. Based on the system's communication capabilities, this module enables hierarchical management for administrators and regular users. Administrators can create meeting rooms via web or mobile devices, setting names, capacities, and equipment configurations (projectors, whiteboards, etc.), and binding the meeting rooms to specific access control machines. Regular users can view the real-time status (available / occupied) of all meeting rooms via a mini-program, and reserve meeting rooms for the next 7 days, with reservation information including usage time, number of participants, and equipment requirements. The system supports meeting information sharing; users can generate shareable links containing meeting time, location, and QR codes, and send them to participants. Participants enter the meeting room by scanning the QR code or using facial recognition. Administrators can view the usage records of all meeting rooms, including reservation time, actual usage time, and participants, and generate usage reports. Staff can enter all meeting rooms at any time using facial recognition, facilitating equipment maintenance and cleaning. The system is deployed using a network-based suite, supporting data synchronization across multiple branches.

[0095] The communication module supports Meituan coupon and Douyin coupon redemption and distribution functions.

[0096] Traditional technical solutions suffer from the following problems: traditional soundproof enclosures only provide basic usage services and cannot be connected to third-party platforms, thus missing out on traffic entry points and value-added service opportunities. Furthermore, the lack of an effective promotion mechanism makes it difficult to expand the user base. In addition, the offline management model is inefficient, and administrators cannot monitor operational status in real time. Based on this, this embodiment provides a control method applied to the intelligent soundproof enclosure environmental perception and equipment control system as described in any of the above embodiments, including: S1: The environmental sensing module collects environmental parameters such as temperature, humidity, noise intensity, and air quality index in the soundproof chamber in real time, and sends the collected environmental parameters to the data processing module. S2: The data processing module receives environmental parameters and calculates the comprehensive environmental comfort evaluation index. Noise control priority and the duration of air quality control Based on the calculation results, determine whether the environmental parameters exceed the threshold range or whether the comfort level is lower than the preset value; S3: If the environmental parameters exceed the threshold range or the comfort level is lower than the preset value, the data processing module sends a control command to the corresponding equipment control module unit according to the deviation of each environmental parameter. The equipment control module executes the control command to adjust the environment inside the soundproof chamber. S4: The identity verification module verifies the identity of personnel entering the soundproof chamber. After successful verification, the access control system opens the magnetic lock, allowing personnel to enter the soundproof chamber. S5: The communication module enables data transmission between modules and communication with external servers, supporting the implementation of various management functions and business expansion functions; S6: If meeting room usage is involved, the meeting room management module enables the creation, binding, reservation, and viewing of usage records for meeting rooms.

[0097] The technical problem this solution addresses is the closed nature and single profit model of traditional business systems.

[0098] It is worth mentioning that this embodiment proposes a control method for an intelligent soundproof cabin environmental perception and equipment control system, which includes six core steps: Environmental parameter acquisition: The environmental sensing module collects parameters such as temperature, humidity, noise intensity, and air quality index once per second, and transmits them to the data processing module via RS485 bus.

[0099] Data Analysis and Decision Making: The data processing module receives environmental parameters and calculates the comprehensive environmental comfort index S, noise control priority PN, and air quality control duration tA every second. It compares the current environmental parameters with preset thresholds to determine whether control measures need to be initiated.

[0100] Intelligent equipment control: If environmental parameters exceed standards or comfort levels are insufficient, the system prioritizes addressing the most serious issues based on deviation calculations. For example, when noise control has the highest priority, the system activates a three-level control strategy for sound insulation devices; when air quality control duration is the longest, the system dynamically adjusts the fan speed of the air purification unit.

[0101] Personnel authentication: The authentication module monitors personnel entry and exit requests in real time, employing binocular liveness detection technology combined with multimodal authentication to complete authentication within 0.3 seconds. Upon successful authentication, the access control system unlocks the magnetic lock, allowing personnel to enter.

[0102] Data transmission and business management: The communication module uploads all data to the cloud server, supporting business functions such as SaaS mode, multi-agent and multi-merchant management, and independent deployment of mini-programs. It also enables Meituan coupon and Douyin coupon redemption and distribution, records order information, and provides reminder services.

[0103] Intelligent Meeting Room Management: For meeting room usage, the meeting room management module enables functions such as meeting room creation, binding, reservation, and viewing usage records. It supports meeting information sharing and entry via QR code / facial recognition to ensure efficient meetings.

[0104] Unless otherwise specified, the equipment components involved in the above embodiments are all conventional equipment components, and the connection methods and control methods involved are all conventional connection methods and control methods unless otherwise specified.

[0105] The present invention has been described in detail above with reference to the embodiments. However, those skilled in the art will understand that, without departing from the spirit of the present invention, various specific parameters in the above embodiments can be changed to form multiple specific embodiments, all of which are common variations of the present invention, and will not be described in detail here.

Claims

1. An intelligent soundproof cabin environmental sensing and equipment control system, characterized in that, include: The system comprises an environmental sensing module, a data processing module, an equipment control module, an identity verification module, a human presence sensing module, a lighting and wind power adjustment module, and a communication module. The environmental sensing module collects environmental parameters within the soundproof chamber in real time, including temperature, humidity, noise level, and air quality index. The identity verification module uses a binocular liveness detection camera, an IC card recognition unit, a password input unit, and a barcode scanning unit to verify personnel identity via TCP / IP, WIFI, or LAN 4G communication. The identity verification module has a face capacity of 20,000, a card capacity of 20,000, and a password capacity of 20,000. The data processing module receives the environmental parameters collected by the environmental sensing module, analyzes and processes them, and sends control commands to the equipment control module based on the analysis results. The equipment control module includes an air conditioning control unit, an air purification unit, and a sound insulation device control unit, which are used to adjust the temperature, air quality, and sound insulation effect inside the soundproof chamber, respectively. The communication module is used to realize data transmission between the modules and communication with external servers. It supports SaaS mode and multi-agent mode, supports multiple merchants and multiple brands under the agent, supports independent deployment of mini-programs, supports independent payment collection by merchants or agents, supports order reminders and remote management, supports coupon configuration and deduction, supports membership management, and supports independent and intelligent control of access control, air conditioning, and socket circuits. The lighting and wind power adjustment module is used to adjust the lighting and wind intensity inside the soundproof chamber. The human presence sensing module is used to sense whether there is a person inside the soundproof chamber and transmit signals to the electrical equipment to control the start and stop of the electrical equipment.

2. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The environmental sensing module includes a temperature sensor, a humidity sensor, a noise sensor, and an air quality sensor. The temperature sensor is used to collect the real-time temperature inside the soundproof chamber. The humidity sensor is used to collect real-time humidity data inside the soundproof chamber. The noise sensor is used to collect the real-time noise intensity inside the soundproof chamber. The air quality sensor is used to collect the real-time air quality index inside the soundproof chamber. .

3. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The data processing module is preset with a temperature threshold range. Humidity threshold range Noise threshold and air quality thresholds When environmental parameters exceed the corresponding threshold range, the data processing module generates corresponding control instructions.

4. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The identity verification module is linked to the access control system, which uses a magnetic lock. The magnetic lock body measures 250mm (length) × 48.5mm (width) × 25.5mm (thickness), and the suction plate measures 180mm (length) × 38mm (width) × 11mm (height). The maximum pulling force is 250-280kg linear pulling force. The input voltage is DC12V or DC24V, and the operating current is 12V / 500mA or 24V / 250mA. Applicable door types include wooden doors, glass doors, metal doors, and fire doors. The surface temperature is within +20℃ of the ambient temperature, and the applicable temperature range is -10℃ to +55℃. The applicable humidity range is 0-90% relative humidity. The outer shell, lock body, and suction plate are all treated with environmentally friendly zinc electroplating. The product weighs 2.1KG. Opening methods include reverse scanning of QR codes, card swiping, password, and facial recognition. Exiting is done via a physical switch.

5. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The data processing module calculates the comprehensive environmental comfort evaluation index using the following formula. : ； in, , , , These are the weighting coefficients for temperature, humidity, noise intensity, and air quality index, respectively. ;when Below the preset comfort threshold At that time, the data processing module, based on the deviation of each environmental parameter, prioritizes sending control commands to the equipment control module unit corresponding to the environmental parameter with the largest deviation.

6. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The data processing module calculates the noise control priority using the following formula. : ； in, Indicates temperature , Indicates the upper limit of the temperature threshold. ; Indicates humidity , Indicates the upper limit of the humidity threshold ; Indicates noise intensity , Indicates noise threshold ; Indicates the air quality index , Indicates air quality threshold ;when When the control priority is greater than that of other environmental parameters, the data processing module will send the control command to the sound insulation device control unit first.

7. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The data processing module calculates the air quality control duration using the following formula. : ； in, This is the real-time air quality index. Air quality threshold, The purification rate of the air purification unit; the data processing module adjusts the air quality based on the calculated duration. It sends a continuous operating time command to the air purification unit.

8. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, It also includes a meeting room management module, which allows administrators to create meeting rooms, bind meeting rooms to access control machines, allow ordinary users to view available meeting room resources, reserve meeting rooms, share meeting information, and enter meeting rooms by scanning a code, allow administrators to view meeting room usage records, and allow staff to enter meeting rooms by scanning their faces. The network version of the suite needs to be installed.

9. The intelligent soundproof cabin environmental perception and equipment control system according to claim 1, characterized in that, The communication module supports Meituan coupon and Douyin coupon redemption and distribution functions.

10. A control method applied to the intelligent soundproof cabin environmental sensing and equipment control system as described in any one of claims 1-9, characterized in that, include: S1: The environmental sensing module collects environmental parameters such as temperature, humidity, noise intensity, and air quality index in the soundproof chamber in real time, and sends the collected environmental parameters to the data processing module. S2: The data processing module receives environmental parameters and calculates the comprehensive environmental comfort evaluation index. Noise control priority and the duration of air quality control Based on the calculation results, determine whether the environmental parameters exceed the threshold range or whether the comfort level is lower than the preset value; S3: If the environmental parameters exceed the threshold range or the comfort level is lower than the preset value, the data processing module sends a control command to the corresponding equipment control module unit according to the deviation of each environmental parameter. The equipment control module executes the control command to adjust the environment inside the soundproof chamber. S4: The identity verification module verifies the identity of personnel entering the soundproof chamber. After successful verification, the access control system opens the magnetic lock, allowing personnel to enter the soundproof chamber. S5: The communication module enables data transmission between modules and communication with external servers, supporting the implementation of various management functions and business expansion functions; S6: If meeting room usage is involved, the meeting room management module enables the creation, binding, reservation, and viewing of usage records for meeting rooms.

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