Remote monitoring system for waste liquid treatment

Abstract

The invention discloses a remote monitoring system for waste liquid treatment, relates to the technical field of remote monitoring, and mainly solves the problems of insufficient remote control precision, poor data protection and short service life. The waste liquid treatment remote monitoring system comprises a data acquisition module, an Internet of Things communication module, a remote control module, an alarm module, a safety protection module and an updating optimization module, remote control over the system is achieved through a logic control algorithm, and the working efficiency of the system is improved; the access authority of the system is managed and controlled through an electronic password and facial recognition, so that the security of the system and user data is improved; and regular security check is performed on the system through the automatic scanner and the system evaluation APP, so that the service life of the system is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring, and more specifically to a waste liquid treatment remote monitoring system. Background Art

[0002] With the rapid development of industrialization, the amount of wastewater generated continues to increase, posing a serious threat to the environment. Traditional wastewater treatment methods rely on manual monitoring and control, which is not only inefficient but also difficult to respond to emergencies in real time. Therefore, to improve the efficiency and safety of wastewater treatment and reduce environmental pollution, remote monitoring systems for wastewater treatment have emerged. Remote monitoring systems for wastewater treatment are widely used in industry, agriculture, healthcare, municipal administration, and other fields. In the industrial sector, this system can help companies achieve real-time monitoring and control of the wastewater treatment process, improving the efficiency and safety of wastewater treatment. In the agricultural sector, the system can be used to treat and monitor farmland irrigation wastewater to protect soil and water resources. In the medical field, the system can be used to treat and monitor hospital wastewater to prevent the spread of pathogens. In the municipal sector, the system can be used to monitor and manage urban sewage treatment plants, improving the level of urban environmental governance.

[0003] The traditional waste liquid treatment remote monitoring system is not accurate enough when performing remote control of the system, which greatly reduces the system's work efficiency; the traditional waste liquid treatment remote monitoring system is too simple in protecting data, which seriously affects data security; the traditional waste liquid treatment remote monitoring system lacks technical updates and maintenance operations, which shortens the system's service life. Summary of the Invention

[0004] In response to the shortcomings of the above-mentioned technologies, the present invention discloses an online health management service system based on a data classification algorithm. It realizes remote control of the system through a logical control algorithm, thereby improving the system's working efficiency; manages and controls the access rights of the system through electronic passwords and facial recognition, thereby improving the security of the system and user data; and performs regular security checks on the system through automated scanners and system evaluation apps, thereby increasing the system's service life.

[0005] In order to achieve the above technical effects, the present invention adopts the following technical solutions:

[0006] A waste liquid treatment remote monitoring system includes a data acquisition module, an Internet of Things communication module, a remote control module, an alarm module, a safety protection module, and an update optimization module;

[0007] The data acquisition module is used to collect real-time data from waste liquid treatment equipment and sensors;

[0008] The Internet of Things communication module is used to transmit the data collected by the data acquisition module;

[0009] The remote control module is used to remotely control the waste liquid treatment equipment; the remote control module includes an instruction control unit, an instruction transmission unit, a drive unit and a feedback unit. The instruction control unit generates a control signal from the received instruction content through a logic control algorithm; the instruction transmission unit transmits the control signal to the drive unit through the RS-232 communication interface; the drive unit drives the current and voltage of the execution motor through power amplification and signal conversion to realize the execution of the control signal; the feedback unit uses the sensing element to feedback the status of the system execution and the key parameters of the waste liquid treatment process, the output end of the instruction control unit is connected to the input end of the instruction transmission unit, the output end of the instruction transmission unit is connected to the input end of the drive unit, and the output end of the drive unit is connected to the input end of the feedback unit;

[0010] The alarm module is used to notify operators to take measures to prevent accidents;

[0011] The security protection module is used to ensure the security of system and user data;

[0012] The update and optimization module is responsible for the regular update and optimization of system software and firmware;

[0013] The output end of the data acquisition module is connected to the input end of the Internet of Things communication module, the output end of the Internet of Things communication module is connected to the input end of the remote control module, the output end of the remote control module is connected to the input end of the alarm module, the output end of the alarm module is connected to the input end of the security protection module, and the output end of the security protection module is connected to the input end of the update optimization module.

[0014] As a further description of the above technical solution, the data acquisition module includes a sensor unit, a data conditioning unit, an analog-to-digital conversion unit and a data storage unit. The sensor unit uses a pH sensor, a temperature sensor, a concentration sensor and a flow sensor to detect the physical and chemical information of the waste liquid; the data conditioning unit amplifies and filters the collected analog signal through an operational amplifier and a filter circuit; the analog-to-digital conversion unit converts the conditioned analog signal into a digital signal through an analog-to-digital converter; the data storage unit stores the converted data through a random access memory and a read-only memory, the output end of the sensor unit is connected to the input end of the data conditioning unit, the output end of the data conditioning unit is connected to the input end of the analog-to-digital conversion unit, and the output end of the analog-to-digital conversion unit is connected to the input end of the data storage unit.

[0015] As a further description of the above technical solution, the Internet of Things communication module includes a communication protocol unit, a physical layer unit, a modulation and demodulation unit and a communication interface unit. The communication protocol unit defines the transmission of data between different devices through the MQTT protocol; the physical layer unit realizes wireless transmission and wired transmission of data through a Wi-Fi chip and an Ethernet card; the modulation and demodulation unit performs modulation and demodulation operations on the data signal through frequency-shifted FSK; the communication interface unit realizes communication and transmission between the Internet of Things device and external devices and the network through an RS-232 communication interface, the signal output end of the communication protocol unit is connected to the signal input end of the physical layer unit, the signal output end of the physical layer unit is connected to the signal input end of the modulation and demodulation unit, and the signal output end of the modulation and demodulation unit is connected to the signal input end of the communication interface unit.

[0016] As a further description of the above technical solution, the implementation method of the logic control algorithm is:

[0017] 1) Instruction parsing;

[0018] The instruction content received from the remote terminal is parsed according to the instruction parsing function, including decoding and identifying the type, parameters and target device of the instruction. The formula expression of the instruction parsing function is:

[0019]

[0020] In formula (1), Zt represents the instruction parsing function, α represents the format corresponding to the value to be parsed, and β i Indicates the data value to be parsed by the function, ε indicates the function parsing factor, η indicates the function parsing coefficient, and i indicates the order of the current parsing data. Indicates the function's analysis of the data. Indicates the format conversion of parsed data;

[0021] 2) Logical reasoning;

[0022] The logic control algorithm is judged according to the logic judgment function to determine how to control the target device, including conditional statements and loop statement structures. The formula expression of the logic judgment function is:

[0023]

[0024]

[0025] In formulas (2)-(3), P represents the logical judgment function, γ represents the judgment coefficient of the function, and λ n Indicates the data value to be judged by the function, δ indicates the comparison value of the function judgment, n indicates the order of the current judgment, Q nIndicates the selected judgment statement structure, t indicates the order in which the current judgment statement is performed, Indicates the choice of judgment statement, ∫e -nt *λ n dn indicates the conversion of statement format;

[0026] 3) Control signal generation;

[0027] After the logical judgment is completed, the corresponding control signal is generated according to the judgment result. The control signal is a series of electrical signals that represent the specific actions performed on the device, including opening, closing, adjusting speed and changing direction;

[0028] 4) Signal processing;

[0029] After generating the control signal, the logic control algorithm further processes the signal, including amplifying, shaping or converting it to suit the requirements of the drive unit;

[0030] 5) Status monitoring and feedback;

[0031] During the remote control process, the system status and key parameters are continuously monitored to adjust the control strategy in real time to ensure the accuracy of control;

[0032] 6) Optimization and adjustment;

[0033] The logic control algorithm is optimized and adjusted based on system feedback and long-term operating data to improve control accuracy, response speed and system stability;

[0034] 7) Communication management;

[0035] Throughout the process, the logic control algorithm controls the communication of the remote terminal, including confirming that the command has been received and processed, and sending status updates and feedback information when necessary.

[0036] As a further description of the above technical solution, the alarm module includes a trigger unit, an alarm unit and a user interface unit. The trigger unit sets a safety threshold through a sensor to detect pressure changes to trigger an alarm; the alarm unit uses a buzzer and an LED indicator to remind the user that a safety problem has occurred in the system; the user interface unit realizes a human-computer interaction interface through a liquid crystal display to display alarm information and system status, the output end of the trigger unit is connected to the input end of the alarm unit, and the output end of the alarm unit is connected to the input end of the user interface unit.

[0037] As a further description of the above technical solution, the security protection module includes an access control unit, a data encryption unit, a log recording unit and a data backup unit. The access control unit manages and controls the access rights of the system through an electronic password and biometric identification; the data encryption unit protects system data and user data through data encoding; the log recording unit records user operations, system events and abnormal situations through a memory; and the data backup unit backs up the data generated by the system and user data information through a MySQL database.

[0038] As a further description of the above technical solution, the update optimization module includes a security assessment unit, a software update unit, a hardware upgrade unit and a configuration optimization unit. The security assessment unit performs regular security checks on the system through an automated scanner and a system assessment APP; the software update unit tracks software updates and patches through deployment tools; the hardware upgrade unit measures the hardware performance of the system through benchmarking tools and makes recommendations; the configuration optimization unit analyzes the usage of system resources through performance detection tools and performs analysis and adjustment. The output end of the security assessment unit is connected to the input end of the software update unit, the output end of the software update unit is connected to the input end of the hardware upgrade unit, and the output end of the hardware upgrade unit is connected to the input end of the configuration optimization unit.

[0039] The beneficial technical effects of the present invention compared with the prior art are: the present invention discloses a remote monitoring system for waste liquid treatment, which realizes remote control of the system through a logic control algorithm, thereby improving the working efficiency of the system; manages and controls the access rights of the system through electronic passwords and facial recognition, thereby improving the security of the system and user data; and performs regular security checks on the system through automated scanners and system evaluation APPs, thereby increasing the service life of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more intuitively and clearly understand and grasp the technical solution, when describing the embodiments of the present invention or the prior art, drawings are often used to supplement and illustrate. It should be noted that the drawings are only one way of expressing the embodiments of the present invention or the prior art. In fact, the technical solution can also have other implementations and variations. These implementations and variations all fall within the scope of protection of the present invention. Therefore, technicians can design other drawings as needed to implement the technical solution of the present invention, among which,

[0041] Figure 1 This is a schematic diagram of the overall architecture of the present invention;

[0042] Figure 2 This is a structural diagram of the data acquisition module of the present invention;

[0043] Figure 3This is a structural diagram of the Internet of Things communication module of the present invention;

[0044] Figure 4 This is a schematic diagram of the structure of the remote control module of the present invention;

[0045] Figure 5 This is a schematic diagram of the updated optimization module structure of the present invention; DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of this document through the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this document, not all of them. At the same time, the following description omits descriptions of well-known structures and technologies to avoid unnecessary confusion about the concepts of the present invention.

[0047] like Figure 1-Figure 5 As shown, a waste liquid treatment remote monitoring system includes a data acquisition module, an Internet of Things communication module, a remote control module, an alarm module, a safety protection module and an update optimization module;

[0048] The data acquisition module is used to collect real-time data from waste liquid treatment equipment and sensors;

[0049] The Internet of Things communication module is used to transmit the data collected by the data acquisition module;

[0050] The remote control module is used to remotely control the waste liquid treatment equipment; the remote control module includes an instruction control unit, an instruction transmission unit, a drive unit and a feedback unit. The instruction control unit generates a control signal from the received instruction content through a logic control algorithm; the instruction transmission unit transmits the control signal to the drive unit through the RS-232 communication interface; the drive unit drives the current and voltage of the execution motor through power amplification and signal conversion to realize the execution of the control signal; the feedback unit uses the sensing element to feedback the status of the system execution and the key parameters of the waste liquid treatment process, the output end of the instruction control unit is connected to the input end of the instruction transmission unit, the output end of the instruction transmission unit is connected to the input end of the drive unit, and the output end of the drive unit is connected to the input end of the feedback unit;

[0051] The alarm module is used to notify operators to take measures to prevent accidents;

[0052] The security protection module is used to ensure the security of system and user data;

[0053] The update and optimization module is responsible for the regular update and optimization of system software and firmware;

[0054] The output end of the data acquisition module is connected to the input end of the Internet of Things communication module, the output end of the Internet of Things communication module is connected to the input end of the remote control module, the output end of the remote control module is connected to the input end of the alarm module, the output end of the alarm module is connected to the input end of the security protection module, and the output end of the security protection module is connected to the input end of the update optimization module.

[0055] In a further embodiment, the data acquisition module includes a sensor unit, a data conditioning unit, an analog-to-digital conversion unit and a data storage unit, the sensor unit uses a pH sensor, a temperature sensor, a concentration sensor and a flow sensor to detect the physical and chemical information of the waste liquid; the data conditioning unit amplifies and filters the collected analog signal through an operational amplifier and a filter circuit; the analog-to-digital conversion unit converts the conditioned analog signal into a digital signal through an analog-to-digital converter; the data storage unit stores the converted data through a random access memory and a read-only memory, the output end of the sensor unit is connected to the input end of the data conditioning unit, the output end of the data conditioning unit is connected to the input end of the analog-to-digital conversion unit, and the output end of the analog-to-digital conversion unit is connected to the input end of the data storage unit.

[0056] The working principle of the data acquisition module is as follows: in our advanced data acquisition module, each link is carefully designed to ensure that various physical and chemical information of waste liquid can be collected and processed accurately and efficiently. The core of this module lies in its multi-dimensional sensor unit, which integrates pH sensor, temperature sensor, concentration sensor and flow sensor. These sensors are like the "sensory organs" of waste liquid, which can monitor and capture various key indicators of waste liquid in real time; when these sensors capture the information of waste liquid, they will generate weak analog signals. In order to make these signals clearer and more stable, we introduced the data conditioning unit. This unit consists of an operational amplifier and a filtering circuit. They work together to amplify and filter the data, effectively eliminate noise interference, and ensure the purity and accuracy of the signal; next, the analog-to-digital conversion unit will enter the working state, and it will convert the conditioned analog signal into a digital signal through a precise analog-to-digital converter. This step is crucial because it bridges the analog and digital worlds, enabling in-depth analysis and processing of this data using computer technology. Finally, the data storage unit completes the entire data acquisition process. This unit consists of random access memory (RAM) and read-only memory (ROM). RAM temporarily stores data being processed or to be processed, while ROM permanently stores important programs and parameter settings. This ensures data security and integrity even in the event of a power outage or device reboot.

[0057] In a further embodiment, the Internet of Things communication module includes a communication protocol unit, a physical layer unit, a modulation and demodulation unit and a communication interface unit. The communication protocol unit defines the transmission of data between different devices through the MQTT protocol; the physical layer unit realizes wireless transmission and wired transmission of data through a Wi-Fi chip and an Ethernet card; the modulation and demodulation unit performs modulation and demodulation operations on the data signal through frequency-shifted keying (FSK); the communication interface unit realizes communication and transmission between the Internet of Things device and external devices and the network through an RS-232 communication interface, the signal output end of the communication protocol unit is connected to the signal input end of the physical layer unit, the signal output end of the physical layer unit is connected to the signal input end of the modulation and demodulation unit, and the signal output end of the modulation and demodulation unit is connected to the signal input end of the communication interface unit.

[0058] The working principle of the Internet of Things communication module is as follows: the communication protocol unit is the core of the module, which is responsible for defining how data is transmitted between different devices. This unit adopts the MQTT protocol, which is a lightweight publish / subscribe mode communication protocol. It is particularly suitable for the Internet of Things environment because it has the characteristics of low bandwidth occupancy, high reliability and real-time performance. The MQTT protocol can ensure the effective transmission of data even under poor network conditions; the physical layer unit is responsible for implementing the data transmission method. This unit contains a Wi-Fi chip and an Ethernet card, which support wireless transmission and wired transmission respectively. The Wi-Fi chip allows the device to connect to the Internet or other Wi-Fi devices via a wireless network, while the Ethernet card provides a stable wired connection to ensure data transmission speed and reliability. This dual transmission mode enables IoT devices to flexibly adapt to different network environments and needs; the modulation and demodulation unit plays the role of a bridge in the communication process. It modulates and demodulates the data signal through frequency-controlled FSK. Modulation is the process of converting digital signals into analog signals so that they can be transmitted through wireless or wired media; while demodulation is the process of restoring analog signals to digital signals at the receiving end. FSK modulation technology is widely used in IoT communication modules because of its simplicity, high efficiency and strong anti-interference ability; the communication interface unit is the interface for communication and transmission between the module and external devices and the network. The unit realizes connection with external devices through the RS-232 communication interface. RS-232 is a commonly used serial communication interface standard with the advantages of long-distance transmission, high anti-interference ability and stability. Through this interface, IoT devices can easily establish connections with external devices such as computers, sensors, actuators, etc. to realize data exchange and control command sending.

[0059] In a further embodiment, the implementation method of the logic control algorithm is:

[0060] 1) Instruction parsing;

[0061] The instruction content received from the remote terminal is parsed according to the instruction parsing function, including decoding and identifying the type, parameters and target device of the instruction. The formula expression of the instruction parsing function is:

[0062]

[0063] In formula (1), Zt represents the instruction parsing function, α represents the format corresponding to the value to be parsed, and β i Indicates the data value to be parsed by the function, ε indicates the function parsing factor, η indicates the function parsing coefficient, and i indicates the order of the current parsing data. Indicates the function's analysis of the data. Indicates the format conversion of parsed data;

[0064] 2) Logical reasoning;

[0065] The logic control algorithm is judged according to the logic judgment function to determine how to control the target device, including conditional statements and loop statement structures. The formula expression of the logic judgment function is:

[0066]

[0067]

[0068] In formulas (2)-(3), P represents the logical judgment function, γ represents the judgment coefficient of the function, and λ n Indicates the data value to be judged by the function, δ indicates the comparison value of the function judgment, n indicates the order of the current judgment, Q n Indicates the selected judgment statement structure, t indicates the order in which the current judgment statement is performed, Indicates the choice of judgment statement, ∫e -nt *λ n dn indicates the conversion of statement format;

[0069] 3) Control signal generation;

[0070] After the logical judgment is completed, the corresponding control signal is generated according to the judgment result. The control signal is a series of electrical signals that represent the specific actions performed on the device, including opening, closing, adjusting speed and changing direction;

[0071] 4) Signal processing;

[0072] After generating the control signal, the logic control algorithm further processes the signal, including amplifying, shaping or converting it to suit the requirements of the drive unit;

[0073] 5) Status monitoring and feedback;

[0074] During the remote control process, the system status and key parameters are continuously monitored to adjust the control strategy in real time to ensure the accuracy of control;

[0075] 6) Optimization and adjustment;

[0076] The logic control algorithm is optimized and adjusted based on system feedback and long-term operating data to improve control accuracy, response speed and system stability;

[0077] 7) Communication management;

[0078] Throughout the process, the logic control algorithm controls the communication of the remote terminal, including confirming that the command has been received and processed, and sending status updates and feedback information when necessary.

[0079] The working principle of the logic control algorithm is as follows: the main function of the logic control algorithm is to achieve precise control of the target device. It ensures that the instructions issued by the remote terminal can be correctly executed and the efficient and stable operation of the system by parsing instructions, executing logical judgments, generating control signals, processing signals, monitoring status, optimizing and adjusting, and managing communications. The problems solved by the logic control algorithm include how to convert the high-level instructions of the remote terminal into low-level control signals that can be understood and executed by the device, how to handle complex logic in various control scenarios, how to ensure the real-time and accuracy of control, and how to handle system anomalies and communication problems. The implementation of the logic control algorithm usually requires the following steps: First, according to the format α corresponding to the value to be parsed, the data value β to be parsed by the function i , function analytical factor ε and function analytical coefficient η to obtain the formula and The instruction parsing function is used to decode and identify the instruction content sent by the remote terminal, including the instruction type, parameters and target device. According to γ, the judgment coefficient of the function is expressed, and the data value to be judged by the function is λ. n , function judgment comparison value δ and selection judgment statement structure Q n Get the formula And the formula csc -1 (2λ n +γ*Q n ),in The control logic is executed through logical judgment functions, including conditional statements and loop structures, to determine how to control the target device; then, control signals are generated based on the results of the logical judgment, which represent the specific actions performed on the device; then, the generated control signals are further processed, such as amplification, shaping or conversion, to meet the requirements of the drive unit, and the system status and key parameters are monitored in real time to adjust the control strategy as needed; the logical control algorithm is optimized and adjusted based on system feedback and long-term operation data to improve control accuracy, response speed and system stability; finally, communication with the remote terminal is managed, including confirming the command reception and processing status, and sending status updates and feedback information when necessary. At the same time, the differences between the logical control algorithm and the PID algorithm are shown in Table 1:

[0080] Table 1 Differences between logic control algorithm and PID algorithm

[0081]

[0082] In summary, the data parsing efficiency and logical judgment accuracy of the logic control algorithm are better than those of the PID algorithm. The logic control algorithm generates a control signal based on the received instruction content, thereby improving the control efficiency of remote control. Therefore, the logic control algorithm is the best choice for the present invention.

[0083] In a further embodiment, the alarm module includes a trigger unit, an alarm unit and a user interface unit, the trigger unit sets a safety threshold through a sensor to detect pressure changes to trigger an alarm; the alarm unit uses a buzzer and an LED indicator to remind the user of safety problems in the system; the user interface unit implements a human-computer interaction interface through a liquid crystal display to display alarm information and system status, the output end of the trigger unit is connected to the input end of the alarm unit, and the output end of the alarm unit is connected to the input end of the user interface unit.

[0084] The alarm module works as follows: the trigger unit is the core of the alarm module, responsible for real-time monitoring of pressure changes in the environment. This unit is equipped with a high-precision sensor that can detect tiny pressure fluctuations based on a set safety threshold. Once the detected pressure value exceeds the preset safety range, the trigger unit will immediately initiate the alarm program. The alarm unit is the key part of the alarm module for sending warning signals to the outside world. It uses two different alarm methods: a buzzer and an LED indicator. The buzzer can emit a high-decibel alarm, attracting people's attention even in noisy environments, while the LED indicator alerts users to system security issues by flashing red light. These two alarm methods complement each other to ensure the effective transmission of alarm signals. The user interface unit provides a platform for the alarm module to interact with users. It is equipped with an LCD screen that can clearly display alarm information and system status. Users can interact with the interface through the touch screen or buttons to view detailed alarm information, historical records, and system configuration. In addition, the user interface unit also supports multiple language options to facilitate use by users from different countries.

[0085] In a further embodiment, the security protection module includes an access control unit, a data encryption unit, a log recording unit and a data backup unit. The access control unit manages and controls the access rights of the system through an electronic password and biometric identification; the data encryption unit protects system data and user data through data encoding; the log recording unit records user operations, system events and abnormal situations through a memory; and the data backup unit backs up the data generated by the system and user data information through a MySQL database.

[0086] The working principle of the security protection module is as follows: When building a comprehensive and powerful security protection module, we first need to focus on how to effectively manage and control access rights to the system. This key task is undertaken by the access control unit, which uses two advanced authentication methods: electronic passwords and biometrics to ensure that only authorized users can enter the system. Electronic passwords provide a fast and reliable identity authentication method, while biometric technology further enhances security by analyzing the user's fingerprints, facial features or other biometric features to confirm their identity; once the user successfully logs in, they will face another important security barrier - the data encryption unit, which uses complex algorithms to encode data, thereby protecting system data and user data from unauthorized access, tampering or leakage. Even if the data is intercepted, without the correct decryption key, the attacker cannot interpret the true content of the data; to ensure the transparency and traceability of the system, the logging unit plays a key role. It records every user operation, system event and any abnormal situation in detail through the memory. This log information is crucial for auditing, monitoring, and troubleshooting, and also provides valuable clues for investigating security incidents. Finally, the data backup unit is responsible for protecting the integrity and availability of system and user data. It uses a MySQL database to regularly back up system data and user data. This allows for rapid data recovery in the event of unexpected events such as hardware failure, malicious attacks, or data corruption, minimizing losses and interruption time.

[0087] In a further embodiment, the update optimization module includes a security assessment unit, a software update unit, a hardware upgrade unit and a configuration optimization unit. The security assessment unit performs regular security checks on the system through an automated scanner and a system assessment APP; the software update unit tracks software updates and patches through a deployment tool; the hardware upgrade unit measures the hardware performance of the system through a benchmark tool and makes recommendations; the configuration optimization unit analyzes the usage of system resources through a performance detection tool and performs analysis and adjustment. The output end of the security assessment unit is connected to the input end of the software update unit, the output end of the software update unit is connected to the input end of the hardware upgrade unit, and the output end of the hardware upgrade unit is connected to the input end of the configuration optimization unit.

[0088] The working principle of the update optimization module is as follows: the security assessment unit serves as the first line of defense of the module, and performs regular security checks on the system through an automated scanner and a system assessment app. The automated scanner can automatically identify potential security vulnerabilities and threats, while the system assessment app can provide detailed security reports and improvement suggestions. This regular security check helps to promptly identify and fix potential security issues, ensuring that the system is protected from malicious attacks and data leaks. The software update unit is responsible for tracking the latest software updates and patches and applying them to the system through deployment tools. This unit ensures that the software running in the system is always up-to-date, thereby avoiding security vulnerabilities and performance issues caused by outdated software. By installing patches and updates in a timely manner, the software update unit helps improve system stability and compatibility while reducing downtime caused by software failures. The hardware upgrade unit uses benchmarking tools to measure the system's hardware performance and provides upgrade recommendations based on the measurement results. This unit can help users understand the system's hardware bottlenecks and performance limitations, thereby developing an appropriate hardware upgrade plan. By upgrading hardware components such as processors, memory, or storage devices, the hardware upgrade unit can significantly improve the system's processing power, response speed, and data storage capacity, thereby improving overall performance. The configuration optimization unit uses performance testing tools to analyze system resource usage and make corresponding adjustments based on the analysis results. This unit can identify resource waste and performance bottlenecks in the system and provide optimization recommendations to improve resource utilization efficiency. By adjusting system configuration parameters such as CPU scheduling strategy, memory allocation and network settings, the configuration optimization unit can improve system stability and responsiveness while reducing resource consumption.

[0089] In a specific embodiment, a system architecture diagram is first designed, including the data acquisition module, IoT communication module, remote control module, alarm module, security protection module, and update optimization module. The functions of each module and the interfaces between them are clarified. Appropriate sensors, control devices, communication devices, and servers are selected according to system requirements. Sensors and control devices are deployed at the waste liquid treatment site to ensure that they can stably collect data and execute control commands. Then, a software system is developed or configured, including data acquisition software, communication middleware, remote control applications, alarm software, security software, and update management tools, and these software are integrated together to form a unified monitoring platform. After the system is deployed, comprehensive testing and debugging, including unit testing, integration testing, and field testing, are carried out to ensure that all modules can work correctly and data can be accurately transmitted. After the system has been fully tested and found to be error-free, it is officially put into operation. Operators can view the status and operating parameters of the waste liquid treatment equipment in real time through the remote monitoring platform and perform remote control as needed. Then, the collected data is analyzed to identify bottlenecks and potential problems in the treatment process, and the treatment process is optimized accordingly. At the same time, the system is adjusted and optimized based on actual operating conditions to improve efficiency and reduce costs. Finally, the system's security performance is regularly checked, security policies and protective measures are updated, and the system is regularly maintained and upgraded to ensure long-term stable operation. Through this implementation, the waste liquid treatment remote monitoring system can achieve efficient, safe, and intelligent monitoring and management, effectively improving the quality and efficiency of waste liquid treatment.

[0090] Although the present invention has been described above with reference to specific embodiments, it should be understood by those skilled in the art that these embodiments are provided for illustrative purposes only and do not limit the scope and application of the present invention. Without departing from the principles and essence of the present invention, those skilled in the art may make various omissions, substitutions, and modifications to the present invention to achieve results having substantially similar functions, and such embodiments also fall within the scope of the present invention. Therefore, the scope of the present invention is limited solely by the appended claims.

Claims

1. A waste liquid treatment remote monitoring system, comprising a data acquisition module, an Internet of Things communication module, a remote control module, an alarm module, a security protection module, and an update optimization module, characterized in that: The data acquisition module is used to collect real-time data from waste liquid treatment equipment and sensors; The Internet of Things communication module is used to transmit the data collected by the data acquisition module; The remote control module is used to remotely control the waste liquid treatment equipment; the remote control module includes an instruction control unit, an instruction transmission unit, a drive unit and a feedback unit. The instruction control unit generates a control signal from the received instruction content through a logic control algorithm; the instruction transmission unit transmits the control signal to the drive unit through the RS-232 communication interface; the drive unit drives the current and voltage of the execution motor through power amplification and signal conversion to realize the execution of the control signal; The feedback unit provides feedback on the status of the system execution and key parameters of the waste liquid treatment process through the sensing element, the output end of the instruction control unit is connected to the input end of the instruction transmission unit, the output end of the instruction transmission unit is connected to the input end of the drive unit, and the output end of the drive unit is connected to the input end of the feedback unit; The alarm module is used to notify operators to take measures to prevent accidents; The security protection module is used to ensure the security of system and user data; The update and optimization module is responsible for the regular update and optimization of system software and firmware; The output end of the data acquisition module is connected to the input end of the Internet of Things communication module, the output end of the Internet of Things communication module is connected to the input end of the remote control module, the output end of the remote control module is connected to the input end of the alarm module, the output end of the alarm module is connected to the input end of the security protection module, and the output end of the security protection module is connected to the input end of the update optimization module.

2. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The data acquisition module includes a sensor unit, a data conditioning unit, an analog-to-digital conversion unit and a data storage unit. The sensor unit uses a pH sensor, a temperature sensor, a concentration sensor and a flow sensor to detect the physical and chemical information of the waste liquid; the data conditioning unit amplifies and filters the collected analog signal through an operational amplifier and a filter circuit; the analog-to-digital conversion unit converts the conditioned analog signal into a digital signal through an analog-to-digital converter; the data storage unit stores the converted data through a random access memory and a read-only memory, the output end of the sensor unit is connected to the input end of the data conditioning unit, the output end of the data conditioning unit is connected to the input end of the analog-to-digital conversion unit, and the output end of the analog-to-digital conversion unit is connected to the input end of the data storage unit.

3. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The Internet of Things communication module includes a communication protocol unit, a physical layer unit, a modulation and demodulation unit and a communication interface unit. The communication protocol unit defines the transmission of data between different devices through the MQTT protocol; the physical layer unit realizes wireless and wired transmission of data through a Wi-Fi chip and an Ethernet card; the modulation and demodulation unit modulates and demodulates the data signal through frequency-shifted keying (FSK); the communication interface unit realizes communication and transmission between the Internet of Things device and external devices and the network through an RS-232 communication interface, the signal output end of the communication protocol unit is connected to the signal input end of the physical layer unit, the signal output end of the physical layer unit is connected to the signal input end of the modulation and demodulation unit, and the signal output end of the modulation and demodulation unit is connected to the signal input end of the communication interface unit.

4. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The implementation method of the logic control algorithm is: 1) Instruction parsing; The instruction content received from the remote terminal is parsed according to the instruction parsing function, including decoding and identifying the type, parameters and target device of the instruction. The formula expression of the instruction parsing function is: In formula (1), Zt represents the instruction parsing function, α represents the format corresponding to the value to be parsed, and β i Indicates the data value to be parsed by the function, ε indicates the function parsing factor, η indicates the function parsing coefficient, and i indicates the order of the current parsing data. Indicates the function's analysis of the data. Indicates the format conversion of parsed data; 2) Logical reasoning; The logic control algorithm is judged according to the logic judgment function to determine how to control the target device, including conditional statements and loop statement structures. The formula expression of the logic judgment function is: In formulas (2)-(3), P represents the logical judgment function, γ represents the judgment coefficient of the function, and λ n Indicates the data value to be judged by the function, δ indicates the comparison value of the function judgment, n indicates the order of the current judgment, Q n Indicates the selected judgment statement structure, t indicates the order in which the current judgment statement is performed, Indicates the choice of judgment statement, ∫e -nt *λ n dn indicates the conversion of statement format; 3) Control signal generation; After the logical judgment is completed, the corresponding control signal is generated according to the judgment result. The control signal is a series of electrical signals that represent the specific actions performed on the device, including opening, closing, adjusting speed and changing direction; 4) Signal processing; After generating the control signal, the logic control algorithm further processes the signal, including amplifying, shaping or converting it to suit the requirements of the drive unit; 5) Status monitoring and feedback; During the remote control process, the system status and key parameters are continuously monitored to adjust the control strategy in real time to ensure the accuracy of control; 6) Optimization and adjustment; The logic control algorithm is optimized and adjusted based on system feedback and long-term operating data to improve control accuracy, response speed and system stability; 7) Communication management; Throughout the process, the logic control algorithm controls the communication of the remote terminal, including confirming that the command has been received and processed, and sending status updates and feedback information when necessary.

5. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The alarm module includes a trigger unit, an alarm unit and a user interface unit. The trigger unit sets a safety threshold through a sensor to detect pressure changes to trigger an alarm; the alarm unit uses a buzzer and an LED indicator to remind the user of safety problems in the system; the user interface unit implements a human-computer interaction interface through a liquid crystal display to display alarm information and system status. The output end of the trigger unit is connected to the input end of the alarm unit, and the output end of the alarm unit is connected to the input end of the user interface unit.

6. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The security protection module includes an access control unit, a data encryption unit, a log recording unit and a data backup unit. The access control unit manages and controls the access rights of the system through an electronic password and biometric identification; the data encryption unit protects system data and user data through data encoding; the log recording unit records user operations, system events and abnormal situations through a memory; and the data backup unit backs up system-generated data and user data information through a MySQL database.

7. A waste liquid treatment remote monitoring system according to claim 1, characterized in that: The update optimization module includes a security assessment unit, a software update unit, a hardware upgrade unit, and a configuration optimization unit. The security assessment unit performs regular security checks on the system using an automated scanner and a system assessment app; the software update unit tracks software updates and patches using deployment tools. The hardware upgrade unit measures the hardware performance of the system through a benchmark test tool and makes recommendations; The configuration optimization unit analyzes the usage of system resources through a performance detection tool and performs analysis and adjustment. The output end of the security assessment unit is connected to the input end of the software update unit, the output end of the software update unit is connected to the input end of the hardware upgrade unit, and the output end of the hardware upgrade unit is connected to the input end of the configuration optimization unit.

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