Personalized PC chassis lighting control system and method based on user behavior analysis

Abstract

The present invention relates to the technical field of intelligent control of PC chassis, and specifically discloses a personalized PC chassis lighting control system and method based on user behavior analysis. The system compares and analyzes a first parameter set of PC chassis lighting with lighting environment parameters during each test operation period, matches lighting initialization parameters corresponding to the lighting environment parameters of the PC chassis during each test operation period, and simultaneously collects user adjustment parameters corresponding to the lighting environment parameters of the PC chassis during each test operation period and transmits them to a second parameter set of PC chassis lighting. This enables the system to more comprehensively understand user preferences, compares and analyzes the second parameter set of PC chassis lighting with actual operating environment parameters to obtain user adjustment parameters corresponding to the actual operating environment parameters, thereby achieving truly personalized control. Ultimately, feedback is provided on the personalized control of the PC chassis lighting, and the PC chassis lighting effect can be continuously optimized to ensure that the PC chassis lighting is kept at the same level as the user's personalized needs.

Description

Technical Field

[0001] The present invention relates to the technical field of PC chassis intelligent control, and in particular to a personalized PC chassis lighting control system and method based on user behavior analysis. Background Art

[0002] With the rapid development of the Internet of Things, big data and artificial intelligence technologies, lighting systems should be able to integrate these advanced technologies to achieve more intelligent, flexible and efficient lighting management. The lack of this function will limit the application and development of lighting systems in future smart homes, smart cities and other fields. Traditional PC chassis lighting control systems only rely on the environment to adjust lighting parameters, which is difficult to meet users' pursuit of intelligent and personalized lighting. The existing PC chassis lighting control system cannot be flexibly adjusted according to users' actual needs and preferences, and has problems such as poor real-time performance and complex functions, thereby limiting the performance of the lighting control system.

[0003] For example, the invention patent with publication number CN117891699A discloses a control method, device, equipment and storage medium for the host atmosphere light, which can be used in the field of artificial intelligence technology. The method includes: obtaining the CPU load status data of the target vehicle host central processing unit; determining the display color of each area in the host atmosphere light according to the CPU load status data; controlling each area in the host atmosphere light to display the corresponding color according to the first preset display effect to indicate the CPU load status.

[0004] For example, the invention patent with publication number CN113393648A discloses an intelligent safety system in a closed environment, including a host, a gas detection sensor, an alarm module and a detachable UPS power module. The host includes a calculation and analysis module and a control module. The host receives the detection data of the gas detection sensor. The calculation and analysis module calculates and analyzes and then issues the execution to the control module, and is connected to the intelligent terminal device, which can transmit the detection data to the terminal device to realize real-time online detection of gas concentration; the control module receives the execution of the calculation and analysis module; the gas detection sensor detects the gas concentration and components, and transmits the collected information to the host for analysis and calculation; the alarm module receives the warning instruction, emits sound and light to perform alarm operation; the detachable UPS power module provides uninterrupted power supply.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: in the existing lighting control system, each scene change is adjusted only through a fixed mode, which makes the lighting system obviously insufficient in intelligence and automation, resulting in low efficiency in controlling and adjusting lighting data, and limiting the real-time and maintainability of lighting data adjustment. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides a personalized PC chassis lighting control system and method based on user behavior analysis, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a personalized PC chassis lighting control system based on user behavior analysis, including: a lighting initialization parameter acquisition module, used to obtain a first parameter set of PC chassis lighting, including lighting environment parameters of each data collection period of the PC chassis and lighting initialization parameters corresponding to the lighting environment parameters of each data collection period; a lighting initialization parameter matching module, used to collect lighting environment parameters of each test operation period of the PC chassis, compare and analyze the lighting environment parameters of each data collection period, analyze the most similar data collection period lighting environment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, and based on the setting of the lighting initialization parameters, obtain the lighting environment parameters of each test operation period of the PC chassis. The PC chassis is configured to collect the actual operating environment parameters of the PC chassis, compare them with the lighting environment parameters of each test operating period in the second parameter set of the PC chassis lighting, determine the most similar lighting environment parameters of the test operating period corresponding to the actual operating environment parameters of the PC chassis, and thereby obtain the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis; the chassis lighting control feedback module is configured to analyze the operating effect parameters of the actual lighting of the PC chassis based on the setting of the user adjustment parameters, evaluate the lighting energy efficiency index of the actual lighting of the PC chassis, and thereby provide feedback on the personalized control of the PC chassis lighting.

[0008] As a further solution, the obtaining of the first lighting parameter set of the PC chassis specifically refers to the first lighting parameter set of the PC chassis during a data collection period.

[0009] As a further solution, the matching obtains user adjustment parameters corresponding to the actual operating environment parameters of the PC case. The specific matching process is: through the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period of the PC case, the environmental matching coefficients of the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period are analyzed; the environmental matching coefficients of the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period are sorted in descending order, and the environmental matching coefficient ranked first is extracted. The lighting environment parameter of the test operating period corresponding to the environmental matching coefficient is the most similar lighting environment parameter of the test operating period corresponding to the actual operating environment parameter of the PC case. The user adjustment parameter corresponding to the most similar lighting environment parameter of the test operating period is the user adjustment parameter corresponding to the actual operating environment parameter of the PC case.

[0010] As a further solution, the personalized control of the PC chassis lighting is fed back. The specific feedback process is: comparing the lighting energy efficiency index of the actual lighting of the PC chassis with the lighting energy efficiency threshold. If the lighting energy efficiency index of the actual lighting of the PC chassis is less than the lighting energy efficiency threshold, the personalized control of the PC chassis lighting is fed back.

[0011] The second aspect of the present invention provides a method for the personalized PC chassis lighting control system based on user behavior analysis, comprising: S1. obtaining a first parameter set for PC chassis lighting, which includes lighting environment parameters of each data collection period of the PC chassis and lighting initialization parameters corresponding to the lighting environment parameters of each data collection period; S2. collecting lighting environment parameters of each test operation period of the PC chassis, comparing and analyzing the lighting environment parameters of each data collection period, analyzing the most similar data collection period lighting environment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, and obtaining the lighting environment parameters of each test operation period of the PC chassis based on the setting of the lighting initialization parameters. The corresponding user adjustment parameters are collected, and the lighting environment parameters of each test operation period of the PC chassis and the user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are transmitted to the second parameter set of the PC chassis lighting; S3. The actual operating environment parameters of the PC chassis are collected, and compared with the lighting environment parameters of each test operation period in the second parameter set of the PC chassis lighting, and the most similar lighting environment parameters of the test operation period corresponding to the actual operating environment parameters of the PC chassis are determined, thereby matching the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis; S4. Based on the setting of the user adjustment parameters, the operating effect parameters of the actual lighting of the PC chassis are analyzed, and the lighting energy efficiency index of the actual lighting of the PC chassis is evaluated, thereby providing feedback for the personalized control of the PC chassis lighting.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0013] (1) The present invention provides a personalized PC chassis lighting control system and method based on user behavior analysis. By comparing and analyzing the first parameter set of PC chassis lighting and the lighting environment parameters of each test operation period of the PC chassis, the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are matched. At the same time, the user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are collected and transmitted to the second parameter set of PC chassis lighting. By collecting the user adjustment parameters, the system can understand the user preferences more comprehensively and provide more data support for subsequent personalized control. The second parameter set of PC chassis lighting is compared and analyzed with the actual operating environment parameters of the PC chassis to obtain the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis, and the PC chassis parameters are adjusted to achieve true personalized control. Finally, the lighting energy efficiency index of the actual lighting of the PC chassis is evaluated, and the personalized control of the PC chassis lighting is fed back, so that the PC chassis lighting effect can be continuously optimized to ensure that the PC chassis lighting is always kept at the same level as the user's personalized needs.

[0014] (2) The present invention performs environmental similarity analysis by analyzing the environmental similarity index and the environmental matching coefficient. The multi-dimensional analysis method helps to more comprehensively understand the matching relationship between environments, avoid the one-sidedness that may be caused by a single indicator, and thus more accurately match user behavior data, thereby improving the accuracy and intelligence level of PC chassis in user behavior analysis.

[0015] (3) The present invention obtains the lighting energy efficiency index of the actual lighting of the PC case by comprehensively analyzing the voltage fluctuation rate, luminous efficiency and illuminance discrete value of the PC case during the operation effect analysis period. This not only realizes the personalized analysis of user behavior and the accurate satisfaction of lighting needs, but also improves the lighting efficiency of the PC case, optimizes the energy efficiency management of the PC case, and enhances the stability and safety of the PC case lighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of system module connections of the present invention.

[0018] Figure 2 Schematic diagram of the method steps of the present invention.

[0019] Figure 3 Schematic diagram of the voltage waveform curve involved in the present invention.

[0020] Reference numerals: 1. Starting coordinate point; 2. Ending coordinate point. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] Reference Figure 1 As shown, the first aspect of the present invention provides a personalized PC chassis lighting control system based on user behavior analysis, including: a lighting initialization parameter acquisition module, a lighting initialization parameter matching module, a user adjustment parameter matching module and a chassis lighting control feedback module.

[0023] The first aspect of the present invention provides a personalized PC chassis lighting control system based on user behavior analysis, which also includes a chassis database, wherein the chassis database is used to store the influence factor corresponding to the unit numerical value of the average temperature offset value, the influence factor corresponding to the unit numerical value of the enthalpy offset value, the influence factor corresponding to the unit numerical value of the target particulate matter average concentration offset value, the influence factor corresponding to the unit numerical value of the carbon dioxide average concentration offset value, the influence factor corresponding to the unit numerical value of the noise exposure level offset value, the influence factor corresponding to the unit numerical value of the average light intensity offset value, the influence factor corresponding to the unit numerical value of the voltage fluctuation rate, the influence factor corresponding to the unit numerical value of the luminous efficiency, the influence factor corresponding to the unit numerical value of the illuminance discrete value, and the downtime corresponding to the lighting energy efficiency index of the actual lighting of the PC chassis.

[0024] The lighting initialization parameter acquisition module is connected to the lighting initialization parameter matching module and the chassis database respectively, the lighting initialization parameter matching module is connected to the user adjustment parameter matching module and the chassis database respectively, the user adjustment parameter matching module is connected to the chassis lighting control feedback module and the chassis database respectively, and the chassis lighting control feedback module is connected to the chassis database.

[0025] It needs to be explained that the significance that the present invention wants to express can be illustrated through applicable scenarios and the various modules described. The various modules described in this example are all personalized analysis based on user behavior. For example, the user first buys a specific PC case, and this PC case has the function of adjusting lighting according to environmental changes. In a certain environment, the PC case senses the environment and matches to obtain lighting initialization parameters, and sets the lighting parameters of the PC case as lighting initialization parameters. At this time, if the user's requirements for PC case lighting are light intensity = 200 lux, color temperature = 3000 Kelvin, and lighting mode = natural light, then according to the lighting control process of this example, light intensity = 200 lux, color temperature = 3000 Kelvin, and lighting mode = natural light can be recorded as user adjustment parameters in this environment, so that when the user actually uses the PC case in the future, in the most similar environment to the environment, the PC case can automatically adjust the lighting parameters to user adjustment parameters to meet the user's personalized needs.

[0026] The lighting initialization parameter acquisition module is used to obtain a first parameter set for PC chassis lighting, which includes the lighting environment parameters of each data collection period of the PC chassis and the lighting initialization parameters corresponding to the lighting environment parameters of each data collection period. The lighting system engineer collects a large number of environmental parameters and the user's usual lighting parameters in the corresponding environment to match the environmental parameters with the lighting initialization parameters, and stores them in the chassis database to set a set of initial, basic lighting parameters for the lighting system of the PC chassis. These parameters serve as the default settings when the lighting function is first enabled after the chassis is turned on, aiming to provide users with a basic and appropriate lighting environment.

[0027] It should be explained that the lighting environment parameters during the data collection period include average temperature, enthalpy value, and average concentration of target particulate matter. The lighting initialization parameters include light intensity, color temperature, and lighting mode. In addition to being applicable to the above parameters, this example can also be used for other parameters, and the direction in which these parameters can provide feedback (i.e., positive and negative relationships) is consistent.

[0028] Specifically, the obtaining of the first parameter set of PC chassis lighting refers to the first parameter set of lighting of the PC chassis within the data collection cycle; the above-mentioned data collection cycle refers to the cycle for collecting data on PC chassis lighting, which is formulated by system integration engineers based on actual conditions. The data collection cycle includes various data collection periods, that is, various sub-periods of the data collection cycle, and the time periods of various data collection periods do not overlap.

[0029] In an exemplary embodiment, a data table of the first parameter set for PC chassis lighting is shown in Table 1, which clearly illustrates the correspondence between the lighting environment parameters and the corresponding lighting initialization parameters during each data collection period. Lighting system engineers collect a large number of environmental parameters and user-customized lighting parameters in the corresponding environments, match the environmental parameters with the lighting initialization parameters, and store them in a chassis database. This allows the PC chassis to have initial lighting parameters. When the user places the PC chassis in a new environment, the PC chassis can quickly adapt to the current ambient light and adjust to the initial lighting parameters, reducing the need for manual adjustments by the user.

[0030] Table 1 Data sheet of the first parameter set for PC chassis lighting

[0031]

[0032]

[0033] It's important to explain that lighting initialization parameters are preset values ​​used by PC chassis to control lighting effects, taking into account current or future environmental changes. These parameters represent the basic configuration of the PC chassis. When conducting user behavior analysis, the basic configuration of the PC chassis in the same environment, i.e., the lighting initialization parameters, must first be matched. Users adjust the lighting initialization parameters based on varying environmental parameters and their own personalized needs, resulting in user-adjusted parameters. User-adjusted parameters are a direct reflection of their personalized needs. By understanding the user's personalized needs, the PC chassis can directly set user-adjusted parameters in the actual environment through environmental matching to meet their individual needs. The relationship between lighting initialization parameters and user-adjusted parameters is that the former is a system-preset lighting control benchmark that takes environmental changes into account, while the latter is the result of user adjustments based on personal preferences and environmental changes. User behavior analysis serves as a bridge in this process. By matching preset parameters in similar environments, it provides users with personalized adjustment space and ultimately enables customized PC chassis lighting effects.

[0034] The lighting initialization parameter matching module is used to collect the lighting environment parameters of each test operation period of the PC chassis, compare and analyze them with the lighting environment parameters of each data collection period, analyze the most similar data collection period lighting environment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, and based on the setting of the lighting initialization parameters, obtain the user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, and transmit the lighting environment parameters of each test operation period of the PC chassis and the user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis to the second parameter set of PC chassis lighting.

[0035] It should be explained that the lighting environment parameters during the test run period include average temperature, average moisture content, average target particulate matter concentration, average carbon dioxide concentration, noise exposure level, and average light intensity. User-adjustable parameters include light intensity, color temperature, and lighting mode. In addition to being applicable to the above parameters, this example can also be used for other parameters, and the feedback direction (i.e., positive and negative relationship) of these parameters is consistent.

[0036] The above-mentioned setting based on the lighting initialization parameters refers to the PC case setting the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period, thereby obtaining the user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC case.

[0037] It needs to be further explained that the user-adjusted parameters refer to the user's adjustment of the PC chassis parameters. The PC chassis receives the adjustment instruction and marks it as the user-adjusted parameter. In an example embodiment, during a test run, the user adjusts the light intensity from 200 lux to 120 lux, then the user-adjusted parameters include light intensity = 120 lux.

[0038] In an exemplary embodiment, a data table of the second parameter set for PC chassis lighting is shown in Table 2, which clearly illustrates the relationship between the lighting environment parameters for each test run period and the corresponding user-adjusted parameters. In each test run period, the user makes targeted adjustments to the PC chassis lighting initialization parameters, i.e., the initial lighting parameters, based on specific environmental conditions and personal preferences, thereby obtaining the user's personalized adjustment parameters, i.e., the user-adjusted parameters:

[0039] Table 2 Data sheet for the second parameter set of PC chassis lighting

[0040]

[0041]

[0042] Specifically, the environmental similarity index of the lighting environment parameters of the PC chassis during each test operation period and the lighting environment parameters during each data collection period is analyzed in the following specific process:

[0043] The average temperature of the environment to which the PC chassis belongs during each test operation period is extracted from the lighting environment parameters of the PC chassis during each test operation period. The average temperature during a certain test operation period is measured by a temperature sensor, and the real-time temperature of the environment to which the PC chassis belongs is obtained by averaging.

[0044] It should be explained that the test operation period refers to the period for monitoring the adjustment of the PC chassis, which is formulated by the system integration engineer based on the actual situation. Each test operation period, that is, each period for monitoring each adjustment of the PC chassis, has non-overlapping time periods, and the time period of each test operation period is after the time period of the data collection period. The length of each test operation period is equal to that of each data collection period.

[0045] The average humidity of the environment to which the PC chassis belongs during each test operation period is extracted from the lighting environment parameters of the PC chassis during each test operation period, and data analysis is performed with the corresponding average temperature to obtain the enthalpy value of the environment to which the PC chassis belongs during each test operation period. The above average humidity during a certain test operation period is obtained by measuring the real-time humidity content of the environment to which the PC chassis belongs using a hygrometer and performing average processing to obtain the average humidity content. The specific analysis process of the enthalpy value during a certain test operation period is as follows: =1.01t+(2500+1.84t)*d, where is the enthalpy value during a test period (unit: kilojoules / kilogram), t is the average temperature during the test period (unit: degrees Celsius), and d is the average moisture content during the test period (unit: kg water / kg dry air). The enthalpy value of the PC chassis environment during each test period can be analyzed and obtained using the above method.

[0046] The average concentration of target particulate matter in the environment of the PC chassis during each test operation period is extracted from the lighting environment parameters of the PC chassis. The above-mentioned target particulate matter refers to particles with a diameter of less than or equal to 10 microns as set in this example. The concentration of the target particles can be analyzed using the light scattering method (the concentration of the particles is estimated by measuring the scattering intensity of light by the particles).

[0047] The average temperature of the environment to which the PC chassis belongs during each data collection period, the enthalpy value of the environment to which the PC chassis belongs during each data collection period, and the average target particulate matter concentration of the environment to which the PC chassis belongs during each data collection period are extracted from the first lighting parameter set of the PC chassis during the data collection period; the average temperature of the environment to which the PC chassis belongs during each data collection period, the enthalpy value of the environment to which the PC chassis belongs during each data collection period, and the average target particulate matter concentration of the environment to which the PC chassis belongs during each data collection period are obtained in the same manner as the average temperature, enthalpy value, and average target particulate matter concentration of the environment to which the PC chassis belongs during each test operation period.

[0048] Thus, an environmental similarity index between the lighting environment parameters of the PC chassis during each test run period and the lighting environment parameters during each data collection period is comprehensively analyzed. In this embodiment, the environmental similarity index is obtained by comprehensively analyzing the average temperature, enthalpy value, and average concentration of target particulate matter of the environment to which the PC chassis belongs during each test run period, and the average temperature, enthalpy value, and average concentration of target particulate matter of the environment to which the PC chassis belongs during the sth data collection sub-period. It is used to evaluate the degree of environmental similarity between the lighting environment parameters of the PC chassis during each test run period and the lighting environment parameters during each data collection period. The specific expression is:

[0049] ;

[0050] is the average temperature of the environment to which the PC chassis belongs during the oth test operation period, reflecting the temperature condition of the environment to which the PC chassis belongs during the test operation period.

[0051] is the enthalpy value of the environment to which the PC chassis belongs during the oth test operation period, reflecting the thermal state of the environment to which the PC chassis belongs during the test operation period.

[0052] is the average concentration of target particulate matter in the environment of the PC chassis during the oth test operation period, reflecting the air quality of the environment of the PC chassis during the test operation period.

[0053] is the average temperature of the environment to which the PC chassis belongs during the sth data collection period, reflecting the temperature condition of the environment to which the PC chassis belongs during the data collection period.

[0054] is the enthalpy value of the environment to which the PC chassis belongs during the sth data collection period, reflecting the thermal state of the environment to which the PC chassis belongs during the data collection period.

[0055] is the average concentration of target particulate matter in the environment to which the PC chassis belongs during the sth data collection period, reflecting the air quality of the environment to which the PC chassis belongs during the data collection period.

[0056] It is the influence factor corresponding to the unit value of the average temperature offset value preset in the chassis database, which represents the degree of influence of the unit value of the average temperature offset value on the environmental similarity index. When used, the influence factor corresponding to the unit value of the average temperature offset value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the average temperature offset value and the influence factor corresponding to the unit value of the average temperature offset value preset in the chassis database form a mapping set, and the real-time average temperature offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the average temperature offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0057] It is the influence factor corresponding to the unit value of the enthalpy offset value preset in the chassis database, which represents the degree of influence of the unit value of the enthalpy offset value on the environmental similarity index. When used, the influence factor corresponding to the unit value of the enthalpy offset value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the enthalpy offset value and the influence factor corresponding to the unit value of the enthalpy offset value preset in the chassis database form a mapping set. The real-time enthalpy offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the enthalpy offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0058] The influence factor corresponding to the unit value of the target particulate matter concentration offset value preset in the chassis database represents the numerical value of the influence of the unit value of the target particulate matter concentration offset value on the environmental similarity index. When used, the influence factor corresponding to the unit value of the target particulate matter concentration offset value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the target particulate matter average concentration offset value and the influence factor corresponding to the unit value of the target particulate matter concentration offset value preset in the chassis database form a mapping set. The real-time target particulate matter concentration offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the target particulate matter concentration offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0059] e is a natural constant, o is the number of each test run period, , f is the total number of test run periods, s is the number of each data collection period, , w is the total number of data collection periods.

[0060] in, is the environmental similarity index between the lighting environment parameters of the PC case during the oth test operation period and the lighting environment parameters during the sth data collection period. When the average ambient temperature is high, the enthalpy value of the environment in which the PC case is located will also increase accordingly. As a thermodynamic state function, enthalpy value is directly related to the thermal state of matter. High temperature and high enthalpy value environment may be detrimental to the circulation and purification of indoor air, especially when the air conditioning system or ventilation facilities are not effective enough. In this environment, target particles (such as dust, pollen, and pollutant particles) in the air may gather due to poor air circulation, causing the target particles to The average concentration rises. In a high temperature and high enthalpy environment, the human body will feel uncomfortable, dizzy, nervous, etc., and sufficient and uniform light can alleviate this discomfort to a certain extent and create a relatively comfortable working environment. Therefore, users tend to adjust the lighting parameters of the PC case to sufficient and uniform light, such as adjusting the light intensity to a larger value and adjusting the color temperature to warm white to meet the visual comfort and work efficiency of users when operating the computer; on the other hand, considering the indoor air quality, for example, the indoor target particulate matter concentration is high, and users tend to adjust the lighting parameters of the PC case to A soft light source that is less likely to produce light pollution is used. Therefore, it is necessary to adjust the lighting mode to a combination of natural and artificial light to reduce the negative impact on the indoor microclimate and help create a fresher and healthier working environment. At the same time, the adjustment of lighting parameters can also reflect the current environmental conditions, guiding users to make targeted adjustments to the environment. In an example embodiment, when the average concentration of target particulate matter is too low, the lighting color of the PC chassis is gray, and the user perceives the lighting color of the PC chassis as gray. The user can clean the environment to improve environmental comfort. The environmental similarity index of the two cycles is considered from three aspects: temperature, thermal state, and air quality. If the average temperature offset value is small, the enthalpy offset value is small, and the average target particulate matter concentration offset value is small, it can be reasonably inferred that the environments of the two cycles maintain a high degree of similarity in terms of temperature, thermal state, and air quality. This similarity is due to the combined effect of multiple factors such as the stability of the external environment, the controllability of pollution source emissions, and the similarity of meteorological conditions. Therefore, by comprehensively analyzing the offset values ​​of these three parameters, a more comprehensive analysis and comparison of the environmental similarity of the two cycles can be made.

[0061] Furthermore, the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are matched. The specific process is: through the lighting first parameter set of the PC chassis in the data collection period and the lighting environment parameters of each test operation period of the PC chassis, the environmental similarity index of the lighting environment parameters of each test operation period of the PC chassis and the lighting environment parameters of each data collection period are analyzed, and the environmental similarity indexes of the lighting environment parameters of a certain test operation period of the PC chassis and the lighting environment parameters of each data collection period are sorted in order from large to small, and the environmental similarity index ranked first is extracted. Then, the lighting environment parameter of the data collection period corresponding to the environmental similarity index is the most similar lighting environment parameter of the data collection period corresponding to the lighting environment parameter of the test operation period. Thus, according to the above steps, the environmental similarity indexes ranked first among the environmental similarity indexes of the lighting environment parameters of each test operation period of the PC chassis and the lighting environment parameters of each data collection period are counted, and the most similar lighting environment parameter of the data collection period corresponding to the lighting environment parameters of each test operation period of the PC chassis is obtained. Then, the most similar lighting environment parameter of the data collection period is obtained. The lighting initialization parameters corresponding to the lighting environment parameters of the data collection period are the lighting initialization parameters corresponding to the lighting environment parameters of each test running period of the PC chassis; in an example embodiment, through the above matching process, a numerical example can be given, for example: the environmental similarity indexes of the lighting environment parameters of a certain test running period and the lighting environment parameters of each data collection period are 2.3, 3.1, 3.4, 1.2, 2.1, and 3, respectively, then the first-ranked environmental similarity index is 3.4, which is the environmental similarity index between the lighting environment parameters of a certain test running period and the lighting environment parameters of the third data collection period. The lighting initialization parameters corresponding to the lighting environment parameters of the third data collection period are luminous intensity = 200 lux, color temperature = 3000 Kelvin, and lighting mode = natural light. Therefore, based on the setting of the lighting initialization parameters, the lighting intensity of the PC chassis during the test running period is set to 200 lux, the color temperature is set to 3000 Kelvin, and the lighting mode is set to natural light, so that the user adjustment parameters corresponding to the test running period lighting environment parameters of the PC chassis during the test running period can be obtained.

[0062] The user adjustment parameter matching module is used to collect the actual operating environment parameters of the PC chassis, compare them with the lighting environment parameters of each test operation period in the second parameter set of the PC chassis lighting, determine the most similar lighting environment parameters of the test operation period corresponding to the actual operating environment parameters of the PC chassis, and thereby match the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis.

[0063] The actual operating environment parameters of the above-mentioned PC chassis include the average carbon dioxide concentration, noise exposure level, and average light intensity. In addition to being applicable to the above-mentioned parameters, this example can also be used for other parameters, and the feedback direction (i.e., positive and negative relationship) of these parameters is consistent.

[0064] In a specific embodiment, the present invention performs environmental similarity analysis by analyzing the environmental similarity index and the environmental matching coefficient. The multi-dimensional analysis method helps to more comprehensively understand the matching relationship between environments, avoid the one-sidedness that may be caused by a single indicator, and thus more accurately match user behavior data, thereby improving the accuracy and intelligence level of PC chassis in user behavior analysis.

[0065] Specifically, the environmental matching coefficient between the actual operating environment parameters of the PC chassis and the lighting environment parameters during each test operation period is analyzed in the following manner:

[0066] The average carbon dioxide concentration of the environment to which the PC chassis belongs during the operation detection cycle is extracted from the actual operating environment parameters of the PC chassis; the above-mentioned operation detection cycle refers to a period for analyzing the similarity between the actual operating environment and the lighting environment parameters of each test operation period, and its specific duration is equal to the length of the test operation period, and this period is after each test operation period; the above-mentioned average carbon dioxide concentration is measured in real time by a carbon dioxide detector in the environment to which the PC chassis belongs during the operation detection cycle, and the average carbon dioxide concentration is obtained by averaging.

[0067] The real-time sound pressure of the environment to which the PC chassis belongs during the operation detection period is extracted from the actual operating environment parameters of the PC chassis, and the reference sound pressure of the environment to which the PC chassis belongs is obtained. The noise exposure level of the environment to which the PC chassis belongs during the operation detection period is obtained by data processing. The specific data processing process is as follows: ,in, The duration of the test cycle. The time point at which the detection cycle starts. The end time of the detection cycle. is the real-time sound pressure at time t, measured by a sound level meter, This is the reference sound pressure of the environment in which the PC chassis is located, obtained by querying environmental noise standards and regulations.

[0068] The average light intensity of the environment to which the PC chassis belongs during the operation detection period is extracted from the actual operation environment parameters of the PC chassis. The real-time light intensity of the environment to which the PC chassis belongs during the operation detection period can be measured by a light intensity measuring instrument, and the average light intensity is obtained by averaging.

[0069] The average carbon dioxide concentration of the PC chassis during each test operation period, the noise exposure level of the PC chassis during each test operation period, and the average light intensity of the PC chassis during each test operation period are extracted from the second parameter set of the PC chassis lighting. The above-mentioned average carbon dioxide concentration of the PC chassis during each test operation period, the noise exposure level of the PC chassis during each test operation period, and the average light intensity of the PC chassis during each test operation period are obtained in the same way as the average carbon dioxide concentration, noise exposure level, and average light intensity of the environment to which the PC chassis belongs during the operation detection cycle.

[0070] Thus, an environmental matching coefficient between the actual operating environment parameters of the PC chassis and the lighting environment parameters during each test operation period is comprehensively obtained. In this embodiment, the environmental matching coefficient is obtained by comprehensively analyzing the average carbon dioxide concentration, noise exposure, and average light intensity of the environment to which the PC chassis belongs during the operation detection cycle, as well as the average carbon dioxide concentration, noise exposure, and average light intensity of the PC chassis during each test operation period. It is used to evaluate the degree of environmental matching between the actual operating environment parameters of the PC chassis and the lighting environment parameters during each test operation period. The specific expression is:

[0071] ;

[0072] It is the average carbon dioxide concentration of the environment in which the PC chassis is located during the operation detection period, reflecting the air freshness and ventilation conditions of the environment in which the PC chassis is located during the operation detection period.

[0073] It is the noise exposure level of the environment to which the PC chassis belongs during the operation test cycle, reflecting the intensity and duration of the noise in the environment to which the PC chassis belongs during the operation test cycle.

[0074] It is the average light intensity of the environment in which the PC chassis is located during the operation detection period, reflecting the ambient lighting conditions of the environment in which the PC chassis is located during the operation detection period.

[0075] is the average carbon dioxide concentration of the PC chassis during the oth test operation period, reflecting the air freshness and ventilation conditions of the environment in which the PC chassis is located during the test operation period.

[0076] is the noise exposure level of the PC chassis during the oth test operation period, reflecting the intensity and duration of the noise in the environment to which the PC chassis belongs during the test operation period.

[0077] is the average light intensity of the PC chassis during the oth test run period, reflecting the ambient lighting conditions of the environment in which the PC chassis is located during the test run period.

[0078] e is a natural constant, The influence factor corresponding to the unit value of the average carbon dioxide concentration offset value preset in the chassis database represents the degree of influence of the unit value of the average carbon dioxide concentration offset value on the environmental matching coefficient. The influence factor corresponding to the unit value of the average carbon dioxide concentration offset value can be directly obtained from the chassis database when used. The corresponding relationship can be a preset mapping relationship. For example, the average carbon dioxide concentration offset value and the influence factor corresponding to the unit value of the average carbon dioxide concentration offset value preset in the chassis database form a mapping set. The real-time average carbon dioxide concentration offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the average carbon dioxide concentration offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0079] The influence factor corresponding to the unit value of the noise exposure level offset value preset in the chassis database represents the degree of influence of the unit value of the noise exposure level offset value on the environment matching coefficient. When used, the influence factor corresponding to the unit value of the noise exposure level offset value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the noise exposure level offset value and the influence factor corresponding to the unit value of the noise exposure level offset value preset in the chassis database form a mapping set. The real-time noise exposure level offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the noise exposure level offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0080] It is the influence factor corresponding to the unit value of the average light intensity offset value preset in the chassis database, which represents the degree of influence of the unit value of the average light intensity offset value on the environment matching coefficient. When used, the influence factor corresponding to the unit value of the average light intensity offset value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the average light intensity offset value and the influence factor corresponding to the unit value of the average light intensity offset value preset in the chassis database form a mapping set, and the real-time average light intensity offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the average light intensity offset value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0081] in, is the environmental matching coefficient between the actual operating environment parameters of the PC case and the lighting environment parameters of the oth test operation period. The significantly higher carbon dioxide concentration indicates that the environment of the PC case may have a high activity density and personnel concentration, and is accompanied by a high noise exposure level. Because of the frequent sound source activities such as personnel communication and equipment operation, the sound environment is relatively noisy. At the same time, the increase in carbon dioxide concentration also reflects that the environment may be highly sealed to reduce interference from external factors or be an enclosed space designed for specific functional requirements, which limits the penetration of natural light and may lead to a decrease in light intensity, relying on artificial lighting to maintain appropriate light. Conditions, since the environment itself is already relatively noisy (i.e. in a high sound pressure environment) and may be accompanied by high visual stimulation (such as dense crowds, equipment operation, etc.), users prefer to adjust the PC case lighting intensity value to a smaller value to reduce glare and reduce visual fatigue and discomfort. In a closed environment that may lack natural light (i.e. the ambient light intensity is low and the carbon dioxide concentration is high), users often feel depressed, dull or uneasy. Therefore, users may tend to adjust the light source with a moderate color temperature to relieve psychological pressure and improve the comfort of living or working. Therefore, not only the above lighting is adjusted to a smaller light intensity value, but also the color temperature is adjusted to warm white. Color or neutral white can create a warm and comfortable atmosphere and reduce the sense of oppression caused by being under cold light sources for a long time. In a closed and crowded environment, the problem of light pollution may be more prominent, so users tend to adjust the lighting mode of the PC case to natural light. At the same time, the adjustment of lighting parameters can also reflect the current environmental conditions and guide users to make targeted adjustments to the environment. In an example embodiment, when the average concentration of carbon dioxide is high, the light color of the PC case is red. The user perceives the light color of the PC case as red. The user can ventilate the environment to improve the environmental comfort. Therefore, the three parameters can be adjusted to the PC case. A preliminary assessment of the general purpose of the environment will have a positive impact on improving the environmental matching degree. If the average carbon dioxide concentration deviation value is low, the noise exposure level deviation value is low, and the average light intensity deviation value is low, it can be shown from the other three dimensions that the actual operating environment parameters and the lighting environment parameters of a test operation period are highly consistent in multiple dimensions. Carbon dioxide concentration, noise exposure level and light intensity are important factors affecting human comfort. By comprehensively considering the deviation values ​​of these three parameters, the lighting environment parameters of the test operation period that are more similar to the actual operating environment parameters can be better identified, which is conducive to ensuring that the lighting parameters of the matching PC case can ensure a good user experience.

[0082] Furthermore, the matching obtains the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis. The specific matching process is as follows:

[0083] The actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period of the PC case are analyzed to obtain the environmental matching coefficients between the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period. The environmental matching coefficients between the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period are sorted in descending order, and the environmental matching coefficient ranked first is extracted. The lighting environment parameter of the test operating period corresponding to the environmental matching coefficient is the most similar lighting environment parameter of the test operating period corresponding to the actual operating environment parameter of the PC case. The user adjustment parameter corresponding to the most similar lighting environment parameter of the test operating period is the user adjustment parameter corresponding to the actual operating environment parameter of the PC case. In an example embodiment, The matching process can be exemplified by numerical values. For example, the environmental matching coefficients between the actual operating environment parameters of the PC case and the lighting environment parameters of each test operation period are 5.4, 3.9, 4.4, 3.2, 5.1, and 4.5, respectively. The top-ranked environmental similarity index is 5.4, which is the environmental matching coefficient between the actual operating environment parameters of the PC case and the lighting environment parameters of the first test operation period. The user adjustment parameters corresponding to the lighting environment parameters of the first test operation period are found to be light intensity = 330 lux, color temperature = 3377 Kelvin, and lighting mode = natural light. Therefore, the user adjustment parameters corresponding to the actual operating environment parameters of the PC case are light intensity = 330 lux, color temperature = 3377 Kelvin, and lighting mode = natural light.

[0084] The chassis lighting control feedback module is used to analyze the operating effect parameters of the actual lighting of the PC chassis based on the settings of the user adjustment parameters, evaluate the lighting energy efficiency index of the actual lighting of the PC chassis, and thus provide feedback on the personalized control of the PC chassis lighting.

[0085] The above-mentioned setting based on user-adjustable parameters refers to setting the parameters of the PC case to user-adjustable parameters corresponding to the actual operating environment parameters. In an example embodiment, the specific setting process is: during actual operation, the PC case sets the light intensity to 330 lux, the color temperature to 3377 Kelvin, and the lighting mode to natural light, so that the actual lighting operating effect parameters of the PC case can be obtained.

[0086] It needs to be further explained that the operating effect parameters of the actual lighting of the above-mentioned PC case include the voltage waveform curve, luminous flux, light source power consumption and average illumination value of the PC case during the operating effect analysis period. In addition to being applicable to the above-mentioned parameters, this example can also be used for other parameters, and the direction in which these parameters can be fed back (i.e., positive and negative relationship) is consistent.

[0087] In a specific embodiment, the present invention obtains the lighting energy efficiency index of the actual lighting of the PC chassis by comprehensively analyzing the voltage fluctuation rate, luminous efficiency and illuminance discrete values ​​of the PC chassis during the operation effect analysis cycle. This not only realizes the personalized analysis of user behavior and the precise satisfaction of lighting needs, but also improves the lighting efficiency of the PC chassis, optimizes the energy efficiency management of the PC chassis, and enhances the stability and safety of the PC chassis lighting.

[0088] Specifically, the personalized control of the PC chassis lighting is fed back, and the specific feedback process is as follows: comparing the lighting energy efficiency index of the actual lighting of the PC chassis with the lighting energy efficiency threshold. If the lighting energy efficiency index of the actual lighting of the PC chassis is less than the lighting energy efficiency threshold, the personalized control of the PC chassis lighting is fed back. If the lighting energy efficiency index of the actual lighting of the PC chassis is greater than or equal to the lighting energy efficiency threshold, it indicates that the actual lighting effect of the PC chassis is highly consistent with the ideal effect, and no feedback is required. The lighting energy efficiency threshold represents the minimum value of the reasonable range of the lighting energy efficiency index of the actual lighting of the PC chassis, and its value is determined by the lighting system engineer. If the lighting energy efficiency index of the actual lighting of the PC chassis is less than the lighting energy efficiency threshold, it indicates that the actual lighting effect of the PC chassis deviates significantly from the ideal effect and cannot meet the energy-saving effect of the PC chassis, and feedback is required for its personalized control. The specific feedback process is as follows: querying the energy-saving adjustment parameter set corresponding to the lighting energy efficiency index of the actual lighting of the PC chassis from the chassis database, and adjusting the parameters of the PC chassis, thereby analyzing the energy-saving performance index of the PC chassis, which represents the degree of energy-saving performance of the PC chassis. The specific expression is: ; This is the luminous efficiency of the PC chassis during the energy-saving test cycle. This is obtained in the same way as the luminous efficiency of the PC chassis during the operation test cycle. The energy-saving test cycle and the operation test cycle are of equal length and are determined by system integration engineers based on actual conditions. The energy consumption reduction rate of the PC chassis during the energy-saving detection period is obtained by subtracting the energy consumption value of the PC chassis during the operation detection period measured by the power meter from the energy consumption value of the PC chassis during the energy-saving detection period measured by the power meter. The difference is divided by the energy consumption value of the PC chassis during the operation detection period measured by the power meter to obtain the energy consumption reduction rate of the PC chassis during the energy-saving detection period. The influence factor corresponding to the unit value of the energy consumption reduction rate preset in the chassis database represents the degree of influence of the unit value of the energy consumption reduction rate on the energy-saving performance index. When used, the influence factor corresponding to the unit value of the energy consumption reduction rate can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the energy consumption reduction rate and the influence factor corresponding to the unit value of the energy consumption reduction rate preset in the chassis database form a mapping set. The real-time energy consumption reduction rate is input into the mapping set to obtain the influence factor corresponding to the unit value of the luminous efficiency. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1]; The luminous efficiency is the PC case's energy-saving performance index. A high luminous efficiency means that while ensuring good lighting effects, relatively less electricity is required. Therefore, increased luminous efficiency directly leads to reduced energy consumption, meaning the energy consumption reduction rate increases. There is a positive correlation between luminous efficiency and energy consumption reduction rates, and they jointly influence the PC case's energy-saving performance index. When evaluating a PC case's energy-saving performance, these two parameters, along with other relevant factors, need to be comprehensively considered to ensure that the case achieves optimal energy savings while providing good lighting effects. If the PC case's energy-saving performance index is greater than the energy-saving performance threshold (the energy-saving performance threshold represents the minimum value within a reasonable range for the PC case's energy-saving performance index, determined by energy efficiency engineers), it indicates that the PC case's energy-saving control meets expected standards and the PC case can operate continuously. If the PC case's energy-saving performance index is less than or equal to the energy-saving performance threshold, it indicates that the PC case's energy-saving control fails to meet expected standards and the current operating voltage of the PC case cannot meet the requirements for low-energy, high-efficiency, and stable lighting effects. Therefore, the PC case generates a warning light to remind the user to replace the power supply.

[0089] It should be explained that the above-mentioned energy-saving adjustment parameter set refers to fine-tuning based on the user-adjusted parameters. The range of fine-tuning is usually within the numerical range allowed by the user-adjusted parameters to ensure that the adjusted effect still meets the user's requirements. In an example embodiment, the energy-saving adjustment parameter set includes reducing the light intensity by 40 lux and reducing the color temperature by 100 Kelvin. The corresponding user adjustment parameters are light intensity of 400 lux and color temperature of 5000 Kelvin. The lighting effect of the PC chassis has not changed significantly, but the energy consumption of the PC chassis has decreased, achieving an energy-saving effect.

[0090] Specifically, the lighting energy efficiency index of the actual lighting of the PC chassis, in this embodiment, is obtained by comprehensively analyzing the voltage fluctuation rate, luminous efficiency, and illuminance discrete value of the PC chassis during the operation detection cycle, and is used to evaluate the actual lighting energy efficiency of the PC chassis. The specific expression is:

[0091] ;

[0092] The voltage fluctuation rate of the PC case during the operation detection cycle reflects the stability and quality of the PC case power supply. Ideally, the voltage should be maintained at a constant level (i.e., the rated voltage). However, in actual operation, due to factors such as changes in power load and power supply design, the voltage may fluctuate within a certain range. Excessive voltage fluctuation may damage the electronic components inside the PC and affect the stability and performance of the PC case lighting.

[0093] It is the luminous efficiency of the PC case during the operation test cycle. The higher the luminous efficiency, the more light the PC case can emit under the same electrical power, thereby improving energy utilization efficiency. Evaluating the luminous efficiency of chassis lighting helps to understand the energy efficiency level of the PC case and provide a reference for energy-saving design.

[0094] It is the discrete value of the illumination of the PC case during the operation detection cycle, reflecting the uniformity of the light distribution generated by the PC case during the lighting process.

[0095] e is a natural constant, It is the influence factor corresponding to the voltage fluctuation unit value preset in the chassis database, which represents the degree of influence of the voltage fluctuation unit value on the lighting energy efficiency index. When used, the influence factor corresponding to the voltage fluctuation unit value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the voltage fluctuation rate and the influence factor corresponding to the voltage fluctuation unit value preset in the chassis database form a mapping set, and the real-time voltage fluctuation rate is input into the mapping set to obtain the influence factor corresponding to the voltage fluctuation unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0096] It is the influence factor corresponding to the luminous efficiency unit value preset in the chassis database, which represents the degree of influence of the luminous efficiency unit value on the lighting energy efficiency index. When used, the influence factor corresponding to the luminous efficiency unit value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the luminous efficiency and the influence factor corresponding to the luminous efficiency unit value preset in the chassis database form a mapping set, and the real-time luminous efficiency is input into the mapping set to obtain the influence factor corresponding to the luminous efficiency unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0097] It is the influence factor corresponding to the illuminance discrete value unit value preset in the chassis database, which represents the numerical value of the influence degree of the illuminance discrete value unit value on the lighting energy efficiency index. When used, the influence factor corresponding to the illuminance discrete value unit value can be directly obtained from the chassis database. The corresponding relationship can be a preset mapping relationship. For example, the illuminance discrete value and the influence factor corresponding to the illuminance discrete value unit value preset in the chassis database form a mapping set, and the real-time illuminance discrete value is input into the mapping set to obtain the influence factor corresponding to the illuminance discrete value unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0,1].

[0098] in, is the lighting energy efficiency index of the actual lighting of the PC case. The significant voltage fluctuation indicates that the current operating state of the PC case is unstable, which directly affects the normal operation of the PC case, making it difficult for the PC case lighting system to maintain a constant illumination value, which in turn causes a large discrete phenomenon in the illumination value, destroying the uniformity of the lighting environment. At the same time, large voltage fluctuations also reduce the luminous efficiency of the PC case, that is, under the same power input, the luminous flux that the lighting equipment can produce is reduced, further exacerbating the decline in lighting effects, which together lead to low energy efficiency of the PC case. Large voltage fluctuations not only affect the PC case, but also affect the lighting effect of the PC case. The damage to the electronic components inside the box will also directly affect the performance of the PC case lighting. Under the same power input, the lower the luminous efficiency, the smaller the luminous flux that the PC case lighting can produce, which increases the consumption of reactive power. The larger the illuminance discrete value, the worse the lighting uniformity of the PC case. This will not only affect the user's visual experience, but also reduce the lighting energy efficiency index. Therefore, the integrated analysis of the three parameters will help to better understand the performance of PC case lighting in actual operation, formulate a reasonable maintenance and repair plan, ensure the long-term stable operation of PC case lighting, and provide strong support for subsequent optimization and improvement.

[0099] In this exemplary embodiment, the lighting energy efficiency index of the actual lighting of the PC chassis and its corresponding parameters are shown in Table 3:

[0100] Table 3 Changes in the lighting energy efficiency index and its corresponding parameters for actual lighting in PC chassis

[0101]

[0102] In this example embodiment, the value of the influence factor corresponding to the unit value of the voltage fluctuation rate is set to 0.2, the value of the influence factor corresponding to the unit value of the luminous efficiency is set to 0.1, and the value of the influence factor corresponding to the unit value of the illuminance discrete value is set to 0.2. It can be seen from Table 3 that when the voltage fluctuation rate is small (i.e., the value of the voltage fluctuation rate in the second row and first column of Table 3), the luminous efficiency is relatively good and the illuminance discrete value is small. At this time, the lighting energy efficiency index (i.e., the value of the lighting energy efficiency index in the second row and fourth column of Table 3) is high. On the contrary, if the voltage fluctuation rate is large (i.e., the value of the voltage fluctuation rate in the fourth row and first column of Table 3), the luminous efficiency is relatively general and the illuminance discrete value is relatively large. At this time, the lighting energy efficiency index (i.e., the value of the lighting energy efficiency index in the fourth row and fourth column of Table 3) is low.

[0103] Furthermore, the lighting energy efficiency index of the actual lighting of the PC chassis is evaluated, and the specific analysis process is as follows:

[0104] A voltage waveform curve of the PC chassis during the operation effect analysis period is extracted from the operation effect parameters of the actual lighting of the PC chassis, and a connecting straight line between the starting coordinate point and the ending coordinate point is located on the voltage waveform curve, and the absolute value of the slope corresponding to the connecting straight line is recorded as the voltage fluctuation rate of the PC chassis during the operation effect analysis period; the above-mentioned operation effect analysis period refers to a period for detecting the actual operation effect of the PC chassis, and its specific duration is equal to the duration of the operation detection period, and this period is after the operation detection period; the above-mentioned voltage waveform curve of the PC chassis during the operation effect analysis period is obtained by recording data of the PC chassis power supply voltage during the operation effect analysis period by the voltage sensor. The voltage waveform curve in this embodiment is a voltage waveform curve after data denoising is performed using the sliding average method; the above-mentioned voltage fluctuation rate, such as Figure 3 The voltage waveform curve is shown in the schematic diagram, which shows the changes in the power supply voltage of the PC chassis. The horizontal axis is the operation effect analysis time point, in seconds, and the vertical axis is the voltage value, in volts. The slope of the line between the starting coordinate point 1 and the ending coordinate point 2 can be obtained through matrix laboratory software analysis, and the absolute value of the slope is marked as the voltage fluctuation rate. Since the voltage of the PC chassis is a DC voltage, the smaller the voltage fluctuation rate, the more stable the voltage.

[0105] The luminous flux of the light source belonging to the PC chassis during the operation effect analysis period and the electrical power consumed by the light source of the PC chassis during the operation effect analysis period are extracted from the operation effect parameters of the actual lighting of the PC chassis, and ratio processing is performed to obtain the luminous efficiency of the PC chassis during the operation effect analysis period; the luminous flux of the light source belonging to the above-mentioned PC chassis during the operation effect analysis period is obtained by measuring with a luminous flux meter, wherein the light source belonging to the PC chassis refers to all light sources of the PC chassis; the electrical power consumed by the light source of the above-mentioned PC chassis during the operation effect analysis period is obtained by measuring the electrical power of the power supply of the PC chassis with a power meter; the above-mentioned luminous efficiency refers to the luminous flux divided by the electrical power consumed by the light source.

[0106] The average illuminance value of each light source detection point in the PC chassis during the operation effect analysis period is extracted from the operation effect parameters of the actual lighting of the PC chassis, and the standard deviation processing is performed to obtain the illuminance discrete value of the PC chassis during the operation effect analysis period, thereby comprehensively evaluating the lighting energy efficiency index of the actual lighting of the PC chassis; the above-mentioned light source detection points are randomly arranged inside the chassis by the lighting system engineer, and the average illuminance value of each light source detection point in the PC chassis during the operation effect analysis period is measured in real time by an illuminometer and obtained by mean processing. In order to ensure the uniformity of the lighting inside the chassis, the illuminance discrete value of the PC chassis during the operation effect analysis period is analyzed, and the specific standard deviation processing process of the illuminance discrete value is as follows: , is the average illuminance value of the j-th light source detection point during the operation effect analysis cycle, is the result of the mean processing of the average illuminance value of each light source detection point within the operation effect analysis cycle, j is the number of each light source detection point, , b is the total number of light source detection points.

[0107] In a specific embodiment, the present invention provides a personalized PC chassis lighting control system and method based on user behavior analysis. By comparing and analyzing a first parameter set of PC chassis lighting with the lighting environment parameters of each test operation period of the PC chassis, lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are matched. At the same time, user adjustment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are collected and transmitted to a second parameter set of PC chassis lighting. By collecting user adjustment parameters, the system can more comprehensively understand user preferences and provide more data support for subsequent personalized control. The second parameter set of PC chassis lighting is compared and analyzed with the actual operating environment parameters of the PC chassis to obtain user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis, and the PC chassis parameters are adjusted to achieve true personalized control. Finally, the lighting energy efficiency index of the actual lighting of the PC chassis is evaluated, thereby providing feedback on the personalized control of the PC chassis lighting, so that the PC chassis lighting effect can be continuously optimized to ensure that the PC chassis lighting always remains at the same level as the user's personalized needs.

[0108] Reference Figure 2 As shown, the second aspect of the present invention provides a method for the personalized PC chassis lighting control system based on user behavior analysis, including: S1. obtaining a first parameter set of PC chassis lighting, including lighting environment parameters of each data collection period of the PC chassis and lighting initialization parameters corresponding to the lighting environment parameters of each data collection period; S2. collecting lighting environment parameters of each test operation period of the PC chassis, comparing and analyzing the lighting environment parameters of each data collection period, analyzing the most similar data collection period lighting environment parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis, and obtaining the lighting initialization parameters of each test operation period of the PC chassis based on the setting of the lighting initialization parameters. The user adjustment parameters corresponding to the lighting environment parameters of the PC chassis during each test operation period and the user adjustment parameters corresponding to the lighting environment parameters of the PC chassis during each test operation period are transmitted to the second parameter set of the PC chassis lighting; S3. The actual operating environment parameters of the PC chassis are collected, and compared with the lighting environment parameters of each test operation period in the second parameter set of the PC chassis lighting, and the most similar lighting environment parameters of the test operation period corresponding to the actual operating environment parameters of the PC chassis are determined, thereby matching and obtaining the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis; S4. Based on the setting of the user adjustment parameters, the operating effect parameters of the actual lighting of the PC chassis are analyzed, and the lighting energy efficiency index of the actual lighting of the PC chassis is evaluated, thereby providing feedback for the personalized control of the PC chassis lighting.

[0109] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. Personalized PC chassis lighting control system based on user behavior analysis, characterized by: include: A lighting initialization parameter acquisition module is used to acquire a first parameter set of PC chassis lighting, which includes lighting environment parameters of each data collection period of the PC chassis and lighting initialization parameters corresponding to the lighting environment parameters of each data collection period; a lighting initialization parameter matching module, configured to collect lighting environment parameters of the PC chassis during each test run period, compare and analyze the lighting environment parameters during each data collection period, determine the most similar lighting environment parameters during the data collection period corresponding to the lighting environment parameters during each test run period of the PC chassis, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters during each test run period of the PC chassis; based on the setting of the lighting initialization parameters, obtain user adjustment parameters corresponding to the lighting environment parameters during each test run period of the PC chassis; and transmit the lighting environment parameters during each test run period of the PC chassis and the user adjustment parameters corresponding to the lighting environment parameters during each test run period of the PC chassis to a second lighting parameter set for the PC chassis; a user-adjustable parameter matching module for collecting actual operating environment parameters of the PC chassis, comparing them with the lighting environment parameters of each test operating period in the second parameter set of the PC chassis lighting, determining the most similar lighting environment parameters of the test operating period corresponding to the actual operating environment parameters of the PC chassis, and thereby matching and obtaining user-adjustable parameters corresponding to the actual operating environment parameters of the PC chassis; The chassis lighting control feedback module is used to analyze the operating effect parameters of the actual lighting of the PC chassis based on the settings of the user's adjustment parameters, evaluate the lighting energy efficiency index of the actual lighting of the PC chassis, and thus provide feedback on the personalized control of the PC chassis lighting.

2. The personalized PC chassis lighting control system based on user behavior analysis according to claim 1 is characterized in that: The obtaining of the first lighting parameter set of the PC chassis specifically refers to the first lighting parameter set of the PC chassis during a data collection period.

3. The personalized PC chassis lighting control system based on user behavior analysis according to claim 1 is characterized in that: The lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC chassis are matched, specifically by analyzing the lighting first parameter set of the PC chassis during the data collection period and the lighting environment parameters of each test operation period of the PC chassis to obtain an environmental similarity index between the lighting environment parameters of each test operation period of the PC chassis and the lighting environment parameters of each data collection period; The environmental similarity indexes of the lighting environment parameters of a certain test operation period of the PC case and the lighting environment parameters of each data collection period are sorted in descending order, and the environmental similarity index ranked first is extracted. The lighting environment parameter of the data collection period corresponding to the environmental similarity index is the most similar lighting environment parameter of the data collection period corresponding to the lighting environment parameter of the test operation period. Thus, according to the above steps, the environmental similarity indexes ranked first among the environmental similarity indexes of the lighting environment parameters of each test operation period of the PC case and the lighting environment parameters of each data collection period are counted, and the most similar lighting environment parameters of the data collection period corresponding to the lighting environment parameters of each test operation period of the PC case are obtained. Then, the lighting initialization parameters corresponding to the most similar lighting environment parameters of the data collection period are the lighting initialization parameters corresponding to the lighting environment parameters of each test operation period of the PC case.

4. The personalized PC chassis lighting control system based on user behavior analysis according to claim 3 is characterized by: The environmental similarity index of the lighting environment parameters of the PC chassis during each test operation period and the lighting environment parameters during each data collection period is analyzed in the following specific process: Extracting the average temperature of the environment to which the PC chassis belongs during each test operation period from the lighting environment parameters of the PC chassis during each test operation period; Extracting the average humidity of the environment of the PC chassis during each test operation period from the lighting environment parameters of the PC chassis during each test operation period, and performing data analysis with the corresponding average temperature to obtain the enthalpy value of the environment of the PC chassis during each test operation period; Extract the average concentration of target particulate matter in the environment of the PC chassis during each test operation period from the lighting environment parameters of the PC chassis during each test operation period; The average temperature of the environment to which the PC case belongs during each data collection period, the enthalpy value of the environment to which the PC case belongs during each data collection period, and the average concentration of target particulate matter in the environment to which the PC case belongs during each data collection period are extracted from the first lighting parameter set of the PC case during the data collection period. Based on this, the environmental similarity index of the lighting environment parameters of the PC case in each test operation period and the lighting environment parameters in each data collection period is comprehensively analyzed.

5. The personalized PC chassis lighting control system based on user behavior analysis according to claim 1 is characterized in that: The matching obtains the user adjustment parameters corresponding to the actual operating environment parameters of the PC chassis. The specific matching process is as follows: The environmental matching coefficients between the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period are obtained by analyzing the actual operating environment parameters of the PC case and the lighting environment parameters of each test operating period. The environmental matching coefficients of the actual operating environment parameters of the PC case and the lighting environment parameters of each test operation period are sorted in descending order, and the environmental matching coefficient ranked first is extracted. The test operation period lighting environment parameter corresponding to the environmental matching coefficient is the most similar test operation period lighting environment parameter corresponding to the actual operating environment parameter of the PC case. The user adjustment parameter corresponding to the most similar test operation period lighting environment parameter is the user adjustment parameter corresponding to the actual operating environment parameter of the PC case.

6. The personalized PC chassis lighting control system based on user behavior analysis according to claim 5, characterized in that: The environmental matching coefficient between the actual operating environment parameters of the PC chassis and the lighting environment parameters during each test operation period is analyzed in detail as follows: Extracting the average carbon dioxide concentration of the environment in which the PC chassis belongs during the operation detection period from the actual operating environment parameters of the PC chassis; Extracting the real-time sound pressure of the environment to which the PC chassis belongs during the operation detection period from the actual operating environment parameters of the PC chassis, obtaining the reference sound pressure of the environment to which the PC chassis belongs, and processing the data to obtain the noise exposure level of the environment to which the PC chassis belongs during the operation detection period; Extracting the average light intensity of the environment to which the PC chassis belongs during the operation detection period from the actual operating environment parameters of the PC chassis; The average carbon dioxide concentration of the PC chassis during each test operation period, the noise exposure level of the PC chassis during each test operation period, and the average light intensity of the PC chassis during each test operation period are extracted from the second parameter set of the PC chassis lighting. The environmental matching coefficient between the actual operating environment parameters of the PC chassis and the lighting environment parameters of each test operation period is thus comprehensively derived.

7. The personalized PC chassis lighting control system based on user behavior analysis according to claim 1 is characterized in that: The specific analysis process for evaluating the lighting energy efficiency index of the actual lighting of the PC chassis is as follows: A voltage waveform curve of the PC case during the operation effect analysis period is extracted from the actual operating effect parameters of the PC case lighting, and a connecting straight line between the starting coordinate point and the ending coordinate point is located on the voltage waveform curve. The absolute value of the slope corresponding to the connecting straight line is recorded as the voltage fluctuation rate of the PC case during the operation effect analysis period. The luminous flux of the light source belonging to the PC chassis during the operation effect analysis period and the power consumption of the light source of the PC chassis during the operation effect analysis period are extracted from the operating effect parameters of the actual lighting of the PC chassis, and the luminous efficiency of the PC chassis during the operation effect analysis period is obtained by performing ratio processing; The average illuminance value of each light source detection point in the PC chassis during the operation effect analysis period is extracted from the operation effect parameters of the actual lighting of the PC chassis, and the standard deviation processing is performed to obtain the discrete value of the illuminance of the PC chassis during the operation effect analysis period. The lighting energy efficiency index of the actual lighting of the PC chassis is thus comprehensively evaluated.

8. The personalized PC chassis lighting control system based on user behavior analysis according to claim 7 is characterized in that: The lighting energy efficiency index of the actual lighting of the PC chassis is specifically expressed as: ； in, is the lighting energy efficiency index of the actual lighting of the PC chassis, It is the voltage fluctuation rate of the PC chassis during the operation effect analysis period. The luminous efficiency of the PC case during the operation effect analysis period. is the discrete value of illumination of the PC case during the operation effect analysis period, e is a natural constant, The impact factor corresponding to the voltage fluctuation unit value preset in the chassis database, The impact factor corresponding to the luminous efficiency unit value preset in the chassis database, The influence factor corresponding to the discrete unit value of illumination preset in the chassis database.

9. The personalized PC chassis lighting control system based on user behavior analysis according to claim 1, characterized in that: The feedback of the personalized control of the PC chassis lighting is specifically carried out as follows: The lighting energy efficiency index of the actual lighting of the PC chassis is compared with the lighting energy efficiency threshold. If the lighting energy efficiency index of the actual lighting of the PC chassis is less than the lighting energy efficiency threshold, the personalized control of the PC chassis lighting is fed back.

10. A method for a personalized PC chassis lighting control system based on user behavior analysis as described in any one of claims 1 to 9, characterized in that: include: S1 obtains the first parameter set of PC chassis lighting, including lighting environment parameters of each data collection period of the PC chassis and lighting initialization parameters corresponding to each data collection period lighting environment parameters; S2. Collecting lighting environment parameters for each test run period of the PC chassis, comparing and analyzing them with the lighting environment parameters for each data collection period, analyzing the lighting environment parameters for each test run period of the PC chassis that are most similar to the lighting environment parameters for the data collection period, thereby matching the lighting initialization parameters corresponding to the lighting environment parameters for each test run period of the PC chassis, obtaining user-adjusted parameters corresponding to the lighting environment parameters for each test run period of the PC chassis based on the settings of the lighting initialization parameters, and transmitting the lighting environment parameters for each test run period of the PC chassis and the user-adjusted parameters corresponding to the lighting environment parameters for each test run period of the PC chassis to a second PC chassis lighting parameter set; S3. Collect the actual operating environment parameters of the PC chassis, and compare them with the lighting environment parameters of each test run period in the second parameter set of the PC chassis lighting, and determine the most similar test run period lighting environment parameters corresponding to the actual operating environment parameters of the PC chassis, thereby matching the actual operating environment parameters of the PC chassis to the user-adjustable parameters corresponding to the parameters; S4. Based on the settings of the user adjustment parameters, the operating effect parameters of the actual lighting of the PC case are analyzed, and the lighting energy efficiency index of the actual lighting of the PC case is evaluated, thereby providing feedback on the personalized control of the PC case lighting.

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