Intelligent sensor acquisition system

Abstract

The invention discloses an intelligent sensor acquisition system, which relates to the technical field of sensor acquisition and is realized by adopting a data acquisition module, a data processing module, a comprehensive correction optimization module, a communication module and a sensitivity adjustment execution module. The environment data comprises data related to illumination and temperature collected by a sensor, the collected environment data is preprocessed through the data processing module, and the corrected illumination intensity value and the power demand value are calculated and output through the comprehensive correction optimization module. And inputting the corrected illumination intensity value and the power demand value into a sensitivity adjustment execution module, performing feedback adjustment of multiple times of calculation, outputting an adjusted photosensitive element sensitivity value, and changing and influencing the corrected illumination intensity value and the power demand value and subsequent measurement values based on the feedback adjustment of the photosensitive element sensitivity value. And the collected and calculated data are displayed through the communication module.

Description

Technical Field

[0001] The present invention relates to the field of sensor acquisition technology, and in particular to an intelligent sensor acquisition system. Background Art

[0002] Sensors are the core components of intelligent sensor acquisition systems, responsible for converting various physical quantities into measurable electrical signals. With the advancement of science and technology, sensor technology has evolved from structural sensors to solid sensors and then to intelligent sensors; with the rapid development of the Internet of Things, big data and artificial intelligence technologies, intelligent sensor acquisition systems have become an indispensable key technology in modern industry, agriculture, environmental monitoring and other fields. These systems integrate multiple sensors to achieve real-time monitoring and data collection of environmental parameters, providing an important basis for subsequent data processing, analysis and decision-making.

[0003] Although the traditional sensor acquisition system can realize basic data acquisition functions, it still has shortcomings in the following aspects. First, the traditional system often lacks accurate correction and compensation mechanisms for environmental parameters such as light intensity and temperature, resulting in limited measurement accuracy and difficulty in meeting the needs of high-precision applications. Secondly, traditional systems are relatively extensive in terms of energy consumption management and lack the ability to dynamically adjust energy consumption according to real-time environmental conditions and system requirements, resulting in energy waste and increased costs; traditional systems are often optimized for specific environments or application scenarios during design and are difficult to adapt to complex and changing working environments, resulting in system performance degradation or failure. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent sensor acquisition system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, using: Data acquisition module, data processing module, comprehensive correction optimization module, communication module and sensitivity adjustment execution module are implemented; The specific steps for implementing intelligent collection are as follows: Data collection: Through the data collection module, environmental data is collected in real time, and the environmental data includes data related to light and temperature collected by sensors; Data processing: pre-process the collected environmental data through the data processing module; Dynamic adjustment of optimization and sensitivity: The corrected light intensity value is calculated and output by the comprehensive correction optimization module and power demand values , the corrected light intensity value and power demand values Input to the sensitivity adjustment execution module, perform multiple calculations and feedback adjustments, and output the adjusted sensitivity value of the photosensitive element , and based on the sensitivity value of the photosensor Feedback adjustment, changes affect the corrected light intensity value and power demand values and subsequent measurements, and display the collected and calculated data through the communication module; Comprehensive correction and optimization module: actual light intensity correction unit and power demand calculation and energy consumption optimization unit; The sensitivity adjustment execution module includes: a unit for dynamically adjusting the sensitivity of a photosensitive element.

[0006] Optionally, the correction process of the actual light intensity correction unit is as follows: ; ; in: is the value of light intensity after correction; is the current light intensity value; is the illumination angle, Reflects the angle between the illumination direction and the sensor normal; is the temperature compensation coefficient; is the current temperature value; is the reference temperature value; is the temperature compensation factor; The current light intensity value after processing by the data processing module , Lighting Angle , Temperature compensation coefficient , Current temperature value and reference temperature , input to the actual light intensity correction unit, and obtain the corrected light intensity value after temperature and light angle correction. .

[0007] Optionally, the calculation optimization process of the power demand calculation and energy consumption optimization unit is as follows: ; ; ; in: is the power demand value; is the value of light intensity after correction; is the influence coefficient, Reflects the impact of ambient humidity on system power requirements; is the ambient humidity value; is the demand coefficient, It reflects the basic power requirement of the sensor acquisition system without considering the influence of external factors; is the gain coefficient, It reflects the gain degree of light intensity on the energy efficiency of the sensor acquisition system; is the current light intensity value; is the power demand adjustment factor; is the energy efficiency optimization factor; The corrected light intensity value calculated and output by the actual light intensity correction unit , input into the power demand calculation and energy consumption optimization unit to obtain the power demand value of the sensor acquisition system under different conditions .

[0008] Optionally, the dynamic adjustment process of the dynamic adjustment unit of the photosensor sensitivity is as follows: ; in: It is the sensitivity value of the photosensor after adjustment; To predict the maintenance demand value; is the power demand value; is the maximum available power value; is the value of light intensity after correction; Adjust the threshold for sensitivity; The power demand value calculated and output by the power demand calculation and energy consumption optimization unit , input to the dynamic adjustment of the photosensor sensitivity unit, and output the optimized sensor's adjusted photosensor sensitivity value under different lighting conditions .

[0009] Optionally, the feedback influence relationship between the actual light intensity correction unit, the power demand calculation and energy consumption optimization unit and the dynamic adjustment unit for photosensor sensitivity is as follows: The result of the actual illumination intensity correction unit is directly used for the power demand calculation of the power demand calculation and energy consumption optimization unit, and is used as a correction value of the illumination intensity; The power demand calculation and energy consumption optimization unit indirectly affects and adjusts the sensitivity of the photosensitive element through the dynamic adjustment unit of the photosensitive element sensitivity; When the photosensor sensitivity value When a change occurs, the current light intensity value is changed The value of further affects the corrected light intensity value and power demand values The value of the photosensor is assumed to be The adjustment is a relatively slow process, and it cannot be immediately fed back to the current measurement cycle. Through multiple calculations and feedback, the sensitive value of the photosensitive element is Can be adjusted dynamically.

[0010] Optionally, the data acquisition module includes a data acquisition unit, the data processing module includes a data cleaning unit and a data processing unit, and the communication module includes a user interaction unit and a remote sharing unit.

[0011] Optionally, the data collection unit displays and interactively shares the collected environmental data using the communication module after the data cleaning unit and the data processing unit perform pre-processing operations such as cleaning, denoising, and normalization.

[0012] Optionally, the devices used in the data acquisition module include photosensors, temperature sensors, and humidity sensors; the signal transmission medium between the temperature sensor and humidity sensor and the data processing unit is an infrared optical waveguide; the devices used in the data processing module include a microprocessor; and the devices used in the communication module include an LCD display and a wireless module.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention comprehensively considers the influence of temperature and illumination angle on the measurement of illumination intensity, introduces temperature compensation factor and illumination angle correction factor, realizes accurate correction and compensation of illumination intensity, and significantly improves the measurement accuracy. This technical improvement enables the intelligent sensor acquisition system to maintain stable measurement performance under different environments and conditions, and provides a more accurate and reliable data basis for subsequent data processing and analysis.

[0014] 2. The present invention introduces ambient humidity and corrected light intensity as input variables, calculates power demand in combination with empirical coefficients, and dynamically adjusts the working state of the system according to the calculation results, thereby achieving refined management of energy consumption. This technical improvement not only reduces the operating cost of the system and improves economic benefits, but also meets the requirements of sustainable development and helps promote the development of green energy and a low-carbon economy.

[0015] 3. The present invention realizes dynamic adjustment of the sensitivity of the photosensitive element by introducing a sensitivity adjustment threshold and a sensitivity adjustment rule. This technical improvement enables the photosensitive element to adapt to a wider range of illumination, thereby enhancing the adaptability and robustness of the system. At the same time, dynamic adjustment of sensitivity can also help extend the service life of the sensor and reduce performance degradation or failure problems caused by extreme lighting conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The overall structure diagram of the intelligent sensor acquisition system is shown in Figure 2. Figure 2 The overall method flow chart of the intelligent sensor acquisition system based on this invention; Figure 3 It is a structural schematic diagram of the comprehensive correction optimization module of the present invention; Figure 4 It is a structural schematic diagram of the sensitivity adjustment execution module of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Regarding this intelligent sensor acquisition system, it is different from the existing intelligent sensor acquisition system. The existing sensor acquisition system often lacks the precise correction and compensation mechanism for the environmental parameters of light intensity and temperature, resulting in limited measurement accuracy and difficulty in meeting the needs of high-precision applications. It also lacks the ability to dynamically adjust energy consumption according to real-time environmental conditions and system requirements, and is difficult to adapt to complex and changeable working environments, resulting in system performance degradation or failure. The algorithm unit comprehensively considers the impact of temperature and light angle on light intensity measurement, and dynamically adjusts the working state of the system according to the calculation results, realizing refined management of energy consumption, and by introducing sensitivity adjustment thresholds and sensitivity adjustment rules, it realizes dynamic adjustment of the sensitivity of photosensitive elements, effectively solving the shortcomings of existing technologies in measurement accuracy, energy consumption management and adaptability.

[0019] For examples, see Figures 1 to 4 ,This implementation provides an intelligent sensor acquisition system which is implemented by a data acquisition module, a data processing module, a comprehensive correction and optimization module, a communication module and a sensitivity adjustment execution module; The specific steps for implementing intelligent collection are as follows: Data collection: The data collection module collects environmental data in real time. The environmental data includes data related to light and temperature collected by sensors. Data processing: pre-process the collected environmental data through the data processing module; Dynamic adjustment of optimization and sensitivity: The corrected light intensity value is calculated and output by the comprehensive correction optimization module and power demand values , the corrected light intensity value and power demand values Input to the sensitivity adjustment execution module, perform multiple calculations and feedback adjustments, and output the adjusted sensitivity value of the photosensitive element , and based on the sensitivity value of the photosensor Feedback adjustment, changes affect the corrected light intensity value and power demand values and subsequent measurements, and display the collected and calculated data through the communication module; Comprehensive correction and optimization module: actual light intensity correction unit and power demand calculation and energy consumption optimization unit; The sensitivity adjustment execution module includes: a unit for dynamically adjusting the sensitivity of the photosensitive element.

[0020] In this embodiment, the system helps to improve the measurement accuracy, energy efficiency and adaptability of the intelligent sensor acquisition system through the mutual cooperation of the three algorithm units, and provides reliable technical support for various application scenarios. , and The three calculation results can form a highly accurate and highly adaptable intelligent sensor acquisition system. By adjusting the sensitivity, the system can ensure that the photosensitive element always works in the best state, thereby improving the accuracy and stability of light intensity measurement. To correct the light intensity value, it eliminates the influence of these external factors on the light intensity measurement by correcting the temperature and light angle, making the measured value closer to the actual light intensity, thereby improving the accuracy and reliability of the light intensity measurement and providing an accurate data basis for subsequent power calculation and energy consumption optimization. It is the power demand value. It dynamically calculates the power required by the system according to the current ambient humidity and light intensity, realizes the refined management of energy consumption, and reduces unnecessary power consumption as much as possible while ensuring the normal operation of the system, thereby improving energy utilization efficiency. In order to adjust the sensitivity value of the photosensor, it dynamically adjusts the sensitivity of the photosensor so that the sensor can maintain a high measurement accuracy under different lighting conditions, thereby improving the adaptability and measurement accuracy of the sensor and providing more accurate data for light intensity measurement and subsequent applications. The calculation results can also affect the feedback to and The calculation makes the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can perform automatic feedback and optimization according to the actual situation to be closer to reality.

[0021] The calibration process of the actual light intensity calibration unit is as follows: ; ; in: is the value of light intensity after correction; is the current light intensity value; is the illumination angle, Reflects the angle between the illumination direction and the sensor normal; is the temperature compensation coefficient; is the current temperature value; is the reference temperature value; is the temperature compensation factor; The current light intensity value after processing by the data processing module , Lighting Angle , Temperature compensation coefficient , Current temperature value and reference temperature , input to the actual light intensity correction unit, and obtain the corrected light intensity value after temperature and light angle correction. .

[0022] In this embodiment: First, the algorithm unit calculates the corrected light intensity value output It is affected by temperature and light angle The corrected light intensity value is closer to the actual light intensity, which improves the measurement accuracy. is the current light intensity value, which is the light intensity value directly measured by the sensor. is the illumination angle, which is the angle between the light and the sensor normal, and is used to correct for the reduction in light intensity due to non-vertical incidence. is the temperature compensation coefficient, which is used to quantify the effect of temperature on light intensity measurement. is the current temperature value, which is the ambient temperature value measured in real time. It is a reference temperature value used to compare with the current temperature to determine the amount of temperature compensation; Since the response of the photosensor may change with temperature, a temperature compensation factor is required To correct this change, The temperature compensation coefficient indicates the ratio of the light intensity measurement value that needs to be adjusted when the temperature changes by 1 degree Celsius. What is calculated is the difference between the current temperature and the reference temperature. When the temperature is higher than the reference temperature, the denominator becomes larger, thereby reducing the corrected light intensity, and vice versa. Accurate measurement of light intensity is essential for many applications, such as solar power generation, plant growth control, and environmental monitoring. However, light intensity is affected by many factors, of which temperature and light angle are two major factors. Temperature changes can affect the response characteristics of photosensitive elements, while light angle directly determines the intensity of light reaching the photosensitive element. The actual light intensity correction unit introduces a temperature compensation factor and illumination angle correction factor, double correction of the original illumination intensity, temperature compensation factor The temperature compensation factor is calculated based on the difference between the current temperature and the reference temperature to compensate for the effect of temperature change on the response of the photosensitive element. The illumination angle correction factor is calculated based on the illumination angle. The original light intensity is corrected by the cosine value to eliminate the influence of the light angle on the measurement result. This correction method not only improves the accuracy of light intensity measurement, but also enhances the adaptability and robustness of the system. It can automatically adapt to the working environment under different temperatures and light angles to ensure the stability and reliability of the measurement results. It is especially important for systems that require long-term stable operation and have high precision requirements.

[0023] Through double correction, this algorithm unit eliminates the influence of temperature and illumination angle on light intensity measurement, significantly improving the measurement accuracy; enables the sensor to maintain stable measurement performance under different temperatures and illumination angles, enhancing the adaptability and robustness of the system; provides an accurate and reliable data basis for subsequent power calculation, energy consumption optimization and other applications, and helps to achieve more refined energy management and system control.

[0024] The calculation and optimization process of the power demand calculation and energy consumption optimization unit is as follows: ; ; ; in: is the power demand value; is the value of light intensity after correction; is the influence coefficient, Reflects the impact of ambient humidity on system power requirements; is the ambient humidity value; is the demand coefficient, It reflects the basic power requirement of the sensor acquisition system without considering the influence of external factors; is the gain coefficient, It reflects the gain degree of light intensity on the energy efficiency of the sensor acquisition system; is the current light intensity value; is the power demand adjustment factor; is the energy efficiency optimization factor; The corrected light intensity value calculated and output by the actual light intensity correction unit , input into the power demand calculation and energy consumption optimization unit to obtain the power demand value of the sensor acquisition system under different conditions .

[0025] In this embodiment, first, the influence coefficient Represents the degree of influence of ambient humidity on the system power demand. In different application scenarios, changes in humidity may affect the system's operating efficiency, heat dissipation performance, or the performance of certain key components, thereby changing the system's overall power demand. As a reference value for basic power demand, it helps the system have a stable starting point when calculating the total power demand. At the same time, it also provides an important reference basis for subsequent energy consumption optimization. Combined with the ambient humidity value The input calculation is The calculation of the humidity jointly determines the degree of influence of humidity on power demand; in application scenarios such as solar energy and photovoltaic conversion, the increase of light intensity usually increases the conversion efficiency or output power of the system, and the gain coefficient It is used to quantify this gain effect, based on When the light intensity is high, the system can use more natural light to reduce power consumption, so the required power will be reduced accordingly; In many systems, accurately calculating power demand and optimizing energy consumption accordingly is the key to reducing operating costs and improving economic benefits. The power demand calculation and energy consumption optimization unit introduces ambient humidity and corrected light intensity as input variables and calculates power demand in combination with empirical coefficients. This method not only considers the impact of light conditions on system power demand, but also considers the important factor of ambient humidity. When the light intensity is high, the system needs more power to maintain normal operation; when the humidity is high, the system needs additional energy to counteract the impact of humidity on performance. The power demand calculation and energy consumption optimization unit takes these factors into consideration, dynamically calculates the power required by the system, and adjusts the system's working state according to the calculation results to achieve energy consumption optimization.

[0026] In actual operation, by dynamically adjusting the system working state to adapt to different power requirements, refined management of energy consumption is achieved, reducing operating costs; unnecessary energy waste is reduced, and the overall economic benefits of the system are improved; by reducing energy consumption and carbon emissions, it meets the requirements of sustainable development and helps promote the development of green energy and a low-carbon economy.

[0027] Dynamic adjustment of the sensitivity of the photosensitive element The dynamic adjustment process of the unit is as follows: ; in: It is the sensitivity value of the photosensor after adjustment; To predict the maintenance demand value; is the power demand value; is the maximum available power value; is the value of light intensity after correction; Adjust the threshold for sensitivity; The power demand value calculated and output by the power demand calculation and energy consumption optimization unit , input to the dynamic adjustment of the photosensor sensitivity unit, and output the optimized sensor's adjusted photosensor sensitivity value under different lighting conditions .

[0028] In this embodiment, the algorithm unit is first based on calculation to determine whether the system has sufficient resources to support a higher sensitivity setting, and then The sensitivity is smoothly adjusted so that it gradually increases with the increase of light intensity. When the light intensity is much higher than the threshold, the increase rate of sensitivity will gradually slow down to avoid oversaturation. Finally, the power demand value calculated and output by the power demand calculation and energy consumption optimization unit is combined. , and obtain the sensitivity value of the photosensor after adjustment ; The sensitivity of the photosensor in this algorithm unit is an important parameter for its response to changes in light intensity. However, maintaining a fixed sensitivity may not achieve the best measurement results under different lighting conditions. Therefore, dynamically adjusting the sensitivity of the photosensor is of great significance for improving measurement accuracy and adaptability.

[0029] The dynamic adjustment of photosensor sensitivity unit realizes dynamic adjustment of photosensor sensitivity by introducing sensitivity adjustment threshold and sensitivity adjustment rule. When the corrected light intensity exceeds or falls below the sensitivity adjustment threshold, the system calculates and adjusts the sensitivity of the photosensor according to preset rules. This adjustment can be linear, nonlinear or based on a specific function to ensure that the photosensor can maintain high measurement accuracy under different lighting conditions.

[0030] In actual operation, by dynamically adjusting the sensitivity of the photosensor, it can maintain a high measurement accuracy under different lighting conditions, thereby improving the reliability of the data; enabling the photosensitive element to adapt to a wider range of lighting, enhancing the adaptability and robustness of the system; and preventing the photosensitive element from overworking under extreme lighting conditions, which helps to extend its service life and reduce maintenance costs.

[0031] See also Figures 1 to 4 The feedback influence relationship between the actual light intensity correction unit, the power demand calculation and energy consumption optimization unit and the dynamic adjustment of the photosensor sensitivity unit is as follows: The result of the actual light intensity correction unit is directly used for the power demand calculation and the power demand calculation of the energy consumption optimization unit, and is used as the correction value of the light intensity; The power demand calculation and energy consumption optimization unit indirectly affects and adjusts the sensitivity of the photosensitive element by dynamically adjusting the sensitivity unit of the photosensitive element; When the photosensor sensitivity value When a change occurs, the current light intensity value is changed The value of further affects the corrected light intensity value and power demand values The value of the photosensor is assumed to be The adjustment is a relatively slow process, and it cannot be immediately fed back to the current measurement cycle. Through multiple calculations and feedback, the sensitive value of the photosensitive element is Can be adjusted dynamically.

[0032] In this embodiment, the algorithm unit dynamically adjusts the sensitivity of the photosensitive element, so that the dynamic adjustment of the photosensitive element sensitivity unit indirectly affects the light intensity measurement in the actual light intensity correction unit. When the lighting conditions change, the sensitivity is adjusted to ensure that the photosensitive element always works in the best state, thereby improving the accuracy and stability of the light intensity measurement. This feedback mechanism helps to improve the adaptability and robustness of the entire system.

[0033] In summary, in the specific implementation process, when the sensitivity value of the photosensitive element When changes occur, it affects the sensitivity of the photosensitive element, thereby changing the current light intensity value. However, in this simplified model, we assume that the photosensor has a sensitivity value of The adjustment is a relatively slow process and will not be immediately fed back to the current measurement cycle, but in actual systems, this adjustment may affect subsequent measurements through some form of feedback mechanism.

[0034] Specifically, the theoretical sensitivity value of the photosensor is Adjustment can indirectly affect the current light intensity value , which in turn affects the corrected light intensity value and power demand values This effect needs to be fully manifested through multiple iterations and feedback. However, since this feedback mechanism may involve complex dynamic processes and system stability issues, it needs to be carefully considered when designing the system.

[0035] For example 2, please refer to Figures 1 to 4 The data acquisition module includes a data acquisition unit, the data processing module includes a data cleaning unit and a data processing unit, and the communication module includes a user interaction unit and a remote sharing unit.

[0036] The data collection unit uses the communication module to display and interactively share the collected environmental data after pre-processing operations such as cleaning, denoising and normalization by the data cleaning unit and the data processing unit.

[0037] The equipment used in the data acquisition module includes photosensors, temperature sensors, and humidity sensors. The signal transmission medium between the temperature sensor and humidity sensor and the data processing unit is an infrared optical waveguide. The equipment used in the data processing module includes a microprocessor, and the equipment used in the communication module includes an LCD display and a wireless module.

[0038] In this embodiment, the photosensor, temperature sensor, and humidity sensor respectively collect relevant environmental data of light intensity, temperature, and humidity in real time. The microprocessor is used for data processing and calculation. The communication module is used to display the system status and collected environmental data and communicate with other systems or remote servers through the LCD display and wireless module.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent sensor acquisition system, characterized in that: include: Data acquisition module, used to collect environmental data in real time; A data processing module, used for preprocessing the collected environmental data; Comprehensive correction optimization module, used to output the corrected light intensity value and power demand values , and the corrected light intensity value and power demand values Input to the sensitivity adjustment execution module for adjustment, and output the sensitivity value of the photosensor after adjustment , and then based on the sensitivity value of the photosensor To change and affect the corrected light intensity value and power demand values , and subsequent measurements; Communication module, used to display the collected and calculated data.

2. The intelligent sensor acquisition system according to claim 1, characterized in that: The comprehensive correction optimization module includes: Actual light intensity correction unit and power demand calculation and energy consumption optimization unit; The sensitivity adjustment execution module includes a unit for dynamically adjusting the sensitivity of a photosensitive element.

3. The intelligent sensor acquisition system according to claim 2, characterized in that: The calibration process of the actual illumination intensity calibration unit is as follows: ； ； in: is the value of light intensity after correction; is the current light intensity value; is the illumination angle, Reflects the angle between the illumination direction and the sensor normal; is the temperature compensation coefficient; is the current temperature value; is the reference temperature value; is the temperature compensation factor; The current light intensity value after processing by the data processing module , Lighting Angle , Temperature compensation coefficient , Current temperature value and reference temperature , input to the actual light intensity correction unit, and obtain the corrected light intensity value after temperature and light angle correction. .

4. The intelligent sensor acquisition system according to claim 3, characterized in that: The calculation optimization process of the power demand calculation and energy consumption optimization unit is as follows: ; ; ; in: is the power demand value; is the value of light intensity after correction; is the influence coefficient, Reflects the impact of ambient humidity on system power requirements; is the ambient humidity value; is the demand coefficient, It reflects the basic power requirement of the sensor acquisition system without considering the influence of external factors; is the gain coefficient, It reflects the gain degree of light intensity on the energy efficiency of the sensor acquisition system; is the current light intensity value; is the power demand adjustment factor; is the energy efficiency optimization factor; The corrected light intensity value calculated and output by the actual light intensity correction unit , input into the power demand calculation and energy consumption optimization unit to obtain the power demand value of the sensor acquisition system under different conditions .

5. The intelligent sensor acquisition system according to claim 4, characterized in that: The dynamic adjustment process of the dynamic adjustment photosensitive element sensitivity unit is as follows: ; in: It is the sensitivity value of the photosensor after adjustment; To predict the maintenance demand value; is the power demand value; is the maximum available power value; is the value of light intensity after correction; Adjust the threshold for sensitivity; The power demand value calculated and output by the power demand calculation and energy consumption optimization unit , input to the dynamic adjustment of the photosensor sensitivity unit, and output the optimized sensor's adjusted photosensor sensitivity value under different lighting conditions .

6. The intelligent sensor acquisition system according to claim 5, characterized in that: The influence relationship between the actual illumination intensity correction unit, the power demand calculation and energy consumption optimization unit and the dynamic adjustment unit of the photosensor sensitivity is as follows: The result of the actual illumination intensity correction unit is directly used for the power demand calculation of the power demand calculation and energy consumption optimization unit, and is used as a correction value of the illumination intensity; The power demand calculation and energy consumption optimization unit affects and adjusts the sensitivity of the photosensitive element through the dynamic adjustment unit of the photosensitive element sensitivity; When the photosensor sensitivity value When a change occurs, the current light intensity value is changed The value of further affects the corrected light intensity value and power demand values The value of .

7. The intelligent sensor acquisition system according to claim 1, characterized in that: The data acquisition module includes a data acquisition unit; The data processing module includes a data cleaning unit and a data processing unit; The communication module includes a user interaction unit and a remote sharing unit.

8. The intelligent sensor acquisition system according to claim 7, characterized in that: The data collection unit uses the communication module to display and interactively share the collected environmental data after the data cleaning unit and the data processing unit perform pre-processing operations such as cleaning, denoising and normalization.

9. The intelligent sensor acquisition system according to claim 7, characterized in that: The equipment used in the data acquisition module includes a photosensitive element, a temperature sensor, and a humidity sensor. The signal transmission medium between the temperature sensor and the humidity sensor and the data processing unit is an infrared optical waveguide. The equipment used in the data processing module includes a microprocessor, and the equipment used in the communication module includes an LCD display and a wireless module.

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