Remote monitoring device for product aging system

Abstract

The invention provides a remote monitoring device for a product aging system, relates to the technical field of remote monitoring, and realizes remote real-time monitoring, workers do not need to be on-site on duty, the labor cost is reduced, and centralized management of a plurality of scattered aging test sites is facilitated. The data acquisition module adopts various high-precision sensors and image acquisition units, so that the comprehensiveness and accuracy of data acquisition are improved; a dual alarm function and an automatic control function are achieved, abnormal conditions can be found and processed in time, and the reliability and safety of monitoring are improved; and a local display module and a remote monitoring terminal are arranged, so that a worker can flexibly select a monitoring mode, and the practicability and convenience of the device are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of remote monitoring, in particular to a product aging system remote monitoring device. BACKGROUND

[0002] Product aging test is an important link in product production process, through simulating various environmental conditions of product in actual use process, such as high temperature, high humidity, long time running, etc., the reliability and stability of product are detected, and potential defects existing in product are found in time, in the process of product aging test, the running parameters (such as power supply voltage, current, environmental temperature and humidity, etc.) of aging system and the aging state of product need to be monitored in real time, so as to ensure the accuracy and safety of test; At present, the traditional product aging system monitoring mode mostly adopts local monitoring, that is, the staff checks data and monitors state through instruments or local terminals in the aging test site; this monitoring mode has obvious defects: on the one hand, the staff needs to be on duty in the site for a long time, which increases the labor cost; on the other hand, when abnormal situation occurs, the staff may not find and handle in time, which leads to inaccurate test data, and even may cause product damage or safety accident; therefore, we improve it and propose a product aging system remote monitoring device. SUMMARY

[0003] The present application provides a product aging system remote monitoring device, which comprises: A data acquisition module is used for acquiring running parameters and product aging state parameters of the product aging system; A central processing module is connected with the data acquisition module and is used for processing and analyzing data collected by the data acquisition module; A wireless communication module is connected with the central processing module and is used for realizing data transmission between the central processing module and a remote monitoring terminal; A remote monitoring terminal communicates with the central processing module through the wireless communication module, receives and displays data sent by the central processing module, and sends control instructions to the central processing module; An alarm module is connected with the central processing module and is used for sending an alarm signal when the central processing module analyzes data exception; A power module is connected with the data acquisition module, the central processing module, the wireless communication module and the alarm module respectively and is used for providing working power supply for each module.

[0004] As a preferred technical scheme of the present application, the data acquisition module comprises a temperature sensor, a humidity sensor, a voltage sensor, a current sensor and an image acquisition unit; The temperature sensor is used to collect temperature data of a product aging environment; the humidity sensor is used to collect humidity data of the product aging environment; the voltage sensor is used to collect power supply voltage data of the product aging system; the current sensor is used to collect working current data of the product aging system; and the image acquisition unit is used to collect appearance image data of the product.

[0005] As a preferred technical solution of the present application, the central processing module comprises a microprocessor and a data storage unit. The microprocessor is used to filter, denoise and abnormally judge the collected data; and the data storage unit is used to store the collected original data and processed data analysis results.

[0006] As a preferred technical solution of the present application, the wireless communication module adopts a 5G, 4G, WiFi or LoRa communication mode.

[0007] As a preferred technical solution of the present application, the remote monitoring terminal comprises a computer terminal and a mobile terminal, and the mobile terminal is a smart phone or a tablet computer.

[0008] As a preferred technical solution of the present application, the alarm module comprises an audible and visual alarm and a short message alarm unit. The audible and visual alarm is used to send sound alarm signals and light alarm signals; and the short message alarm unit is connected with the wireless communication module and used to send alarm short messages to preset staff mobile phone numbers.

[0009] As a preferred technical solution of the present application, a local display module is further included, which is connected with the central processing module and used to display the data collected by the data acquisition module and the processing results of the central processing module.

[0010] As a preferred technical solution of the present application, a control execution module is further included, which is connected with the central processing module and used to adjust the running state of the product aging system according to the control instructions of the central processing module. The control execution module comprises a relay and a control valve, the relay is used to control the power supply on-off of the product aging system, and the control valve is used to adjust the temperature and humidity of the product aging environment.

[0011] As a preferred technical solution of the present application, the central processing module adjusts the opening degree of the control valve according to the temperature deviation ΔT = T set -T meas . The valve opening adjustment amount ΔS is calculated by the following formula: ΔS = K p × ΔT + Kᵢ × Σ (ΔT × Δt) + Kd × (ΔT n-ΔT n-1 ) / Δt; Where ΔS is the valve opening adjustment amount, and K p Kᵢ is the proportional coefficient, ΔT is the real-time temperature deviation, Kᵢ is the integral coefficient, Δt is the data acquisition time interval, and Kd is the derivative coefficient. n Let ΔT be the temperature deviation during the nth data acquisition. n-1 The temperature deviation during the (n-1)th data collection, T set To set the temperature for the aging environment, T meas Temperature was collected for the aging environment.

[0012] As a preferred technical solution of this application, the microprocessor uses a moving average filtering algorithm when filtering the collected data, and the filtered data value y(n) is calculated by the following formula: y(n) = (x(n) + x(n-1) + ... + x(n-k+1)) / k; Where x(n) is the raw data collected in the nth time, x(n-1) to x(n-k+1) are the raw data collected in the previous k-1 times, and k is the sliding window size, which is a positive integer from 3 to 10.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: In the scheme of this application: 1. This application enables remote real-time monitoring, eliminating the need for on-site staff, thus reducing labor costs, and facilitating centralized management of multiple dispersed aging test sites; 2. The data acquisition module employs a variety of high-precision sensors and image acquisition units, improving the comprehensiveness and accuracy of data acquisition; 3. Equipped with dual alarm functions and automatic control functions, it can promptly detect and handle abnormal situations, improving the reliability and security of monitoring; 4. Equipped with a local display module and a remote monitoring terminal, the device allows staff to flexibly choose the monitoring method, improving its practicality and convenience. Attached Figure Description

[0014] Figure 1 A schematic diagram of the remote monitoring device for the product aging system provided in this application; Figure 2 A schematic diagram of the data acquisition module provided in this application; Figure 3 A schematic diagram of the central processing module provided in this application; Figure 4 A schematic diagram of the remote monitoring terminal provided in this application; Figure 5 A schematic diagram of the alarm module provided in this application; Figure 6 A schematic diagram of the control execution module provided in this application. Detailed Implementation

[0015] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0016] It should be noted that, unless otherwise specified, the embodiments and features and technical solutions in the present invention can be combined with each other.

[0017] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0018] For an example, please refer to... Figures 1-6 A remote monitoring device for a product aging system, comprising: The data acquisition module is used to collect the operating parameters of the product aging system and the product aging status parameters; The central processing module, connected to the data acquisition module, is used to process and analyze the data acquired by the data acquisition module. The anomaly judgment of the central processing module is based on a preset threshold range and trend analysis. For example, when the value of a single parameter exceeds the threshold for three consecutive times (such as temperature <-10℃ or >100℃, humidity <20%RH or >90%RH, voltage <180V or >240V, current >8A), or the parameter change rate exceeds 5% / s (such as temperature rising by 5℃ within 10 seconds), it is judged as data anomaly. A wireless communication module, connected to the central processing module, is used to realize data transmission between the central processing module and the remote monitoring terminal; The remote monitoring terminal communicates with the central processing module through the wireless communication module to receive and display data sent by the central processing module, and at the same time send control commands to the central processing module. An alarm module, connected to the central processing module, is used to issue an alarm signal when the central processing module detects data anomalies. The power supply module is connected to the data acquisition module, central processing module, wireless communication module, and alarm module respectively, and is used to provide working power for each module. The power supply module adopts an AC-DC switching power supply with an input voltage of AC220V and an output voltage of DC5V and DC12V. The DC5V provides power for the microprocessor, sensor, wireless communication module, etc., and the DC12V provides power for the audible and visual alarm, image acquisition unit, etc.

[0019] Furthermore, the data acquisition module includes a temperature sensor, a humidity sensor, a voltage sensor, a current sensor, and an image acquisition unit; The temperature sensor is used to collect temperature data of the product aging environment; the temperature sensor adopts a DS18B20 digital temperature sensor, with a measurement range of -55℃ to 125℃ and an accuracy of ±0.5℃. The humidity sensor is used to collect humidity data of the product aging environment; the humidity sensor adopts an SHT30 humidity sensor, with a measurement range of 0%RH to 100%RH and an accuracy of ±2%RH. The voltage sensor is used to collect power supply voltage data of the product aging system; the voltage sensor adopts an ACS712 voltage sensor, with a measurement range of 0 to 25V and an accuracy of ±0.1V. The current sensor is used to collect operating current data of the product aging system; the current sensor adopts an ACS714 current sensor, with a measurement range of 0 to 5A and an accuracy of ±0.01A. The image acquisition unit is used to collect appearance image data of the product; the image acquisition unit adopts a high-definition network camera. Furthermore, the central processing module includes a microprocessor and a data storage unit. The microprocessor uses an STM32H743VIT6 chip, based on an ARM Cortex-M7 core, with a main frequency of up to 400MHz. It has powerful data processing capabilities, enabling real-time filtering and noise reduction of the acquired multi-channel data, and anomaly detection based on preset thresholds. The data storage unit uses a 128GB SD card to store the acquired raw data and the processed data analysis results. The storage time can reach more than 6 months, facilitating subsequent retrieval and analysis. The microprocessor is used to filter, reduce noise, and detect anomalies in the collected data; the data storage unit is used to store the collected raw data and the processed data analysis results.

[0020] Furthermore, the wireless communication module adopts 5G, 4G, WiFi, or LoRa communication methods.

[0021] Furthermore, the remote monitoring terminal includes a computer terminal and a mobile terminal, wherein the mobile terminal is a smartphone or tablet computer.

[0022] Furthermore, the alarm module includes an audible and visual alarm and an SMS alarm unit. The audible and visual alarm uses an LTE-1101J model, which emits a 110dB audible alarm signal and a red flashing light alarm signal when an abnormal situation occurs. The SMS alarm unit uses a SIM800C module, which supports GSM / GPRS communication. When abnormal data is detected, the central processing module controls the SMS alarm unit to send an alarm SMS to a preset staff mobile phone number. The SMS content includes the type of abnormality, the time of occurrence, and specific data, ensuring that staff are promptly informed of the abnormal situation.

[0023] The audible and visual alarm is used to emit sound alarm signals and light alarm signals; the SMS alarm unit is connected to the wireless communication module and is used to send alarm SMS messages to preset staff mobile phone numbers.

[0024] Furthermore, it also includes a local display module, which is connected to the central processing module and is used to display the data collected by the data acquisition module and the processing results of the central processing module. The local display module adopts a touch screen display with a resolution of 1024×600, and is connected to the central processing module through an SPI interface. It displays parameters such as temperature, humidity, voltage, and current, as well as the appearance image of the product in real time. On-site personnel can perform parameter settings and control operations through the touch screen.

[0025] Furthermore, it also includes a control execution module, which is connected to the central processing module and is used to adjust the operating status of the product aging system according to the control instructions of the central processing module; The control execution module includes relays and control valves. The relays control the power supply to the product aging system, and the control valves regulate the temperature and humidity of the aging environment. The relays are HF3FF relays, connected to the power supply circuit of the aging system, and are used to control the power supply to the aging system. The control valves include temperature control valves and humidity control valves, which are connected to the heating device, cooling device, humidification device, and dehumidification device of the aging environment, respectively, and are used to regulate the temperature and humidity of the aging environment. When the central processing module detects that the temperature exceeds a preset threshold (e.g., 80℃), it controls the temperature control valve to open the cooling device to lower the ambient temperature. When the current exceeds a preset threshold (e.g., 3A), it controls the relay to cut off the power supply to the aging system to prevent product damage.

[0026] Furthermore, the central processing module adjusts the opening of the control valve according to the temperature deviation, where the temperature deviation ΔT = T set -T meas ; The valve opening adjustment amount ΔS is calculated using the following formula: ΔS=K p ×ΔT+Kᵢ×Σ(ΔT×Δt)+Kd×(ΔTn -ΔT n-1 ) / Δt; Where ΔS is the valve opening adjustment amount, and K p ΔT is the proportional coefficient (range 0.5-2.0), Kᵢ is the real-time temperature deviation, Kᵢ is the integral coefficient (range 0.01-0.1), Δt is the data acquisition time interval (unit: s), and Kd is the derivative coefficient (range 0.1-1.0). n ΔT represents the temperature deviation (in °C) at the nth data acquisition. n-1 Temperature deviation (in °C) at the (n-1)th data collection, T set Set the temperature (unit: °C) for the aging environment, T meas Temperature (unit: °C) was collected for the aging environment.

[0027] Furthermore, when the microprocessor performs filtering on the collected data, it adopts a moving average filtering algorithm. The filtered data value y(n) is calculated by the following formula: y(n) = (x(n) + x(n-1) + ... + x(n-k+1)) / k; Where x(n) is the original data collected in the nth time, x(n-1) to x(n-k+1) are the original data collected in the first k-1 times, and k is the sliding window size, which takes the value of a positive integer from 3 to 10. For example, if k=5 (the sliding window size is 5), the temperature data collected in the 1st to 5th times are 75℃, 76℃, 74℃, 77℃, and 75℃ respectively. Then the filtered data y(5) = (75+76+74+77+75) / 5 = 75.4℃, which effectively reduces the error of a single collection.

[0028] In operation, the data acquisition module first collects data on the temperature, humidity, power supply voltage, operating current, and appearance of the product's aging environment from its sensors and image acquisition units. This data is then transmitted to the central processing module. The central processing module filters and reduces noise in the received data to remove interference signals. It then determines whether the data is abnormal based on preset thresholds and stores the processed data and analysis results in the data storage unit. The central processing module then transmits the processed data to a remote monitoring terminal via a wireless communication module. The remote monitoring terminal displays and processes the data. When the central processing module detects an abnormality, it activates an alarm module to issue an audible and visual alarm and send an alarm SMS. Simultaneously, it controls the control execution module to adjust the operating status of the aging system according to a preset control strategy. Operators can view the monitoring data through the remote monitoring terminal or the local display module and send control commands to the central processing module to remotely control the aging system.

[0029] I. Central Processing Module Interface Circuit Design: Microprocessor selection: The core microcontroller is the STM32H743VIT6, which is based on the ARM Cortex-M7 core, has a main frequency of 400MHz, and has abundant interface resources, sufficient to handle multi-channel sensor data and communication tasks; Sensor interfaces: The DS18B20 temperature sensor uses a single-bus interface and connects to the GPIO pin of the microprocessor; the SHT30 humidity sensor and the SD card data storage use an SPI interface; the ACS712 / ACS714 voltage / current sensors output analog signals and need to be connected to the ADC pin of the microprocessor for analog-to-digital conversion. Communication interfaces: The wireless communication module (such as SIM800C) connects to the microprocessor via the UART interface; the local display module connects via the SPI interface. Anti-interference design: Power filtering: Connect decoupling capacitors (such as 100nF and 10μF) in parallel at the DC5V and DC12V output terminals of the power module, and place 0.1μF ceramic capacitors near the power supply pins of each chip to suppress high-frequency noise. Signal isolation: An RC low-pass filter (such as a filter with a cutoff frequency of about 1.6kHz consisting of a 1kΩ resistor and a 100nF capacitor) is used on the analog signal acquisition channel to filter out high-frequency interference. A 33Ω resistor is connected in series with the digital signal lines (such as UART, SPI) to suppress signal reflection. PCB layout: A single-point common ground design for digital ground (DGND) and analog ground (AGND) is adopted to avoid digital noise interference with sensitive analog signals. Clock signal lines are kept as short as possible and far away from analog signal lines.

[0030] II. Main Program Flow and Multi-Task Scheduling Mechanism: The system software adopts a time-slice polling-based scheduling mechanism, executing different tasks at fixed time intervals in the main loop to ensure real-time performance. Its simplified program flow is as follows: System initialization: Configure peripherals such as GPIO, ADC, SPI, and UART, and initialize various sensors and communication modules; Data acquisition task (cycle: 1 second): Read data from temperature, humidity, voltage, and current sensors in sequence, and trigger the image acquisition unit to capture an image; The data processing task (cycle: 1 second) includes data filtering and anomaly detection. Data filtering: Apply a moving average filtering algorithm to the collected physical quantity data (such as temperature), with a window size of k=5, y(n) = (x(n) + x(n-1) + ... + x(n-4)) / 5. Anomaly detection: Compare the filtered data with a preset threshold. The judgment logic is as follows: If the value of a single parameter exceeds the safety threshold for 3 consecutive times (temperature <-10℃ or >100℃, humidity <20%RH or >90%RH, voltage <180V or >240V, current >8A), or the parameter change rate exceeds 5% / second (such as the temperature rising by more than 5℃ within 10 seconds), it is judged as an anomaly. Communication task (cycle: 2 seconds): Send the processed data to the remote monitoring terminal through the wireless communication module, and check whether control commands have been received from the terminal; Control task (event trigger): When an anomaly is detected or a control command is received, immediately execute control actions, such as activating the audible and visual alarm, sending alarm SMS messages, or adjusting the system status through relays / control valves.

[0031] III. Logic for Prioritizing Exception Handling: Abnormal events are categorized into three priorities—high, medium, and low—based on their severity, and are handled using a combination of interrupts and queues. High priority (immediate interruption handling): Overcurrent, abnormal power supply to equipment. Such abnormalities directly trigger hardware protection (such as relay power failure) and the highest level alarm. Medium priority (prioritized within the task loop): Temperature and humidity exceeding limits. Triggers automatic adjustment (such as PID-controlled valves) and alarms; Low priority (normal queue processing): Minor appearance anomalies or brief communication delays detected by image analysis are recorded and staff are notified, but no immediate mandatory control actions are taken.

[0032] IV. Communication Protocol Stack and Data Frame Format: Protocol stack selection: The application layer uses a custom lightweight binary protocol, the transport layer is based on the TCP protocol to ensure reliability, the network layer uses the IP protocol, and the underlying protocol stack relies on 4G / 5G or Wi-Fi modules. Data frame format: A data frame consists of a frame header, device ID, data length, command word, data content, checksum, and frame trailer; Frame header: 2 bytes, fixed as 0xAA55; Device ID: 4 bytes, uniquely identifies a monitoring device; Command word: 1 byte (e.g., 0x01 indicates uploading sensor data, 0x02 indicates alarm information, and 0x03 indicates control commands); Data content: Variable length. Taking the upload of sensor data as an example, its content can be defined as: temperature (4-byte floating-point number) + humidity (4-byte floating-point number) + voltage (4-byte floating-point number) + current (4-byte floating-point number) + image data length (2 bytes) + image data (N bytes); Checksum: 1 byte, the lower 8 bits of the arithmetic sum of all bytes from the command word to the end of the data content.

[0033] V. Disconnection caching and retransmission mechanism: Local cache: The data storage unit (SD card) of the central processing module opens a circular queue as a transmission buffer. When wireless communication is interrupted, newly generated data will be stored in the buffer. Automatic reconnection: The wireless communication module continuously monitors the network connection status and automatically attempts to reconnect after a disconnection; Data retransmission: After the connection is restored, the system first sends the oldest unacknowledged data packet in the buffer. The remote monitoring terminal sends an acknowledgment frame (ACK) upon receiving it. If the sender does not receive the ACK, it will retransmit the data packet in the next communication until it succeeds. When the buffer is full, the new data will overwrite the oldest data (applicable to non-critical historical data).

[0034] VI. Image Processing Flow and Algorithms: Image preprocessing: Convert the acquired color image to grayscale to simplify subsequent processing. Gray=0.299 R+0.587 G+0.114 B; Median filtering (3x3 filter size) is used to remove salt-and-pepper noise and preserve edge information; Feature extraction (for state monitoring): Surface defect detection: Edge detection is performed using the Canny operator. By checking the continuity of edges and abnormal shapes (such as protruding burrs or abnormal depressions), it is determined whether there is physical damage to the product casing or key components. For components that are prone to aging (such as rubber seals and displays), their images are captured periodically, and the average color value (RGB or HSV space) or local binary mode (LBP) texture features of specific areas are calculated. By comparing the feature values ​​with those of the initial state or standard sample images, if the difference exceeds a set threshold (such as color difference ΔE>10), it indicates that the material may be aging (such as discoloration or cracking). Template matching or color segmentation (such as identifying red and green) is performed on the indicator light areas on the product panel to determine whether their status meets expectations, thereby indirectly reflecting the internal working status of the product. Image analysis results (such as "surface scratches found" and "color change exceeding threshold") will be integrated into the anomaly judgment logic of the central processing module as an important "product aging status parameter". When the algorithm detects a significant anomaly, it will generate a corresponding alarm event and notify the staff through the alarm module, thereby realizing the claimed image-based product aging status monitoring function.

[0035] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0036] Obviously, the embodiments described above are merely some embodiments of the present invention, not all embodiments. The accompanying drawings show preferred embodiments of the present invention, but do not limit the patent scope of the present invention. The present invention can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the patent protection scope of this invention.

Claims

1. A product aging system remote monitoring device, characterized by, The application relates to a product aging system remote monitoring device. The device comprises a data acquisition module, a central processing module, a wireless communication module, a remote monitoring terminal, an alarm module and a power module. The data acquisition module is used for acquiring operation parameters and product aging state parameters of a product aging system. The central processing module is connected with the data acquisition module and is used for processing and analyzing data acquired by the data acquisition module. The wireless communication module is connected with the central processing module and is used for realizing data transmission between the central processing module and a remote monitoring terminal. The remote monitoring terminal communicates with the central processing module through the wireless communication module, receives and displays data sent by the central processing module, and sends control instructions to the central processing module. The alarm module is connected with the central processing module and is used for sending an alarm signal when the central processing module analyzes data abnormity.

2. The product aging system remote monitoring apparatus according to claim 1, wherein The power module is connected with the data acquisition module, the central processing module, the wireless communication module and the alarm module respectively and is used for providing working power for the modules. The data acquisition module comprises a temperature sensor, a humidity sensor, a voltage sensor, a current sensor and an image acquisition unit. The temperature sensor is used for acquiring temperature data of a product aging environment.

3. The product aging system remote monitoring apparatus of claim 1, wherein The humidity sensor is used for acquiring humidity data of the product aging environment. The voltage sensor is used for acquiring power supply voltage data of the product aging system.

4. The product aging system remote monitoring apparatus of claim 1, wherein The current sensor is used for acquiring working current data of the product aging system.

5. The product aging system remote monitoring apparatus of claim 1, wherein The image acquisition unit is used for acquiring appearance image data of the product.

6. The product aging system remote monitoring apparatus of claim 1, wherein The central processing module comprises a microprocessor and a data storage unit. The microprocessor is used for filtering, noise reduction and abnormality judgment processing of acquired data.

7. The product aging system remote monitoring apparatus of claim 1, wherein The data storage unit is used for storing original data and processed data analysis results.

8. The product aging system remote monitoring apparatus of claim 1, wherein, The wireless communication module adopts 5G, 4G, WiFi or LoRa communication modes. The remote monitoring terminal comprises a computer terminal and a mobile terminal.

9. The product aging system remote monitoring apparatus according to claim 8, wherein, The central processing module adjusts the opening of the control valve according to the temperature deviation ΔT=T set -T meas ; The valve opening adjustment amount ΔS is calculated by the following equation: ΔS = K p × ΔT + Ki x∑(ΔT x Δt) + Kd x (ΔT n - ΔT n-1 ) / Δt; The mobile terminal is a smart phone or a tablet computer. The alarm module comprises an audible and visual alarm and an SMS alarm unit. The audible and visual alarm is used for sending sound alarm signals and light alarm signals. The SMS alarm unit is connected with the wireless communication module and is used for sending alarm SMS to preset staff mobile phone numbers. A local display module is further arranged. The local display module is connected with the central processing module and is used for displaying data acquired by the data acquisition module and processing results of the central processing module. A control execution module is further arranged. The control execution module is connected with the central processing module and is used for adjusting the operation state of the product aging system according to control instructions of the central processing module. The control execution module comprises a relay and a control valve. The relay is used for controlling power supply on-off of the product aging system. The control valve is used for adjusting temperature and humidity of the product aging environment. Wherein, AS is a valve opening adjustment amount, Kp is a proportional coefficient, AT is a real-time temperature deviation, Ki is an integral coefficient, At is a data acquisition time interval, Kd is a differential coefficient, ATn is a temperature deviation in the n-th acquisition, ATn-1 is a temperature deviation in the (n-1)-th acquisition, Tset is a set temperature of the aging environment, and Tmeas is an acquired temperature of the aging environment.

10. The product aging system remote monitoring apparatus of claim 3, wherein, The microprocessor adopts a sliding average filtering algorithm when filtering the collected data, and the filtered data value y(n) is calculated by the following formula: y(n)=(x(n)+x(n-1)+…+x(n-k+1)) / k; wherein x(n) is the original data collected for the nth time, x(n-1) to x(n-k+1) are the original data collected for the previous k-1 times, k is the size of the sliding window, and k takes a positive integer value of 3-10.

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