Intelligent monitoring method and system for composting process

Abstract

The invention discloses an intelligent monitoring method and system for a composting process, relates to the technical field of composting, and aims to solve the problem that the fermentation effect of compost and the quality of a final product are affected due to hysteresis and inaccuracy of manual monitoring of the composting process. The method comprises the following steps: S1, data acquisition: acquiring key parameter data in a composting process, wherein the parameter data comprises temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content and total phosphorus content; s2, data transmission: transmitting the key parameter data obtained in the step S1; and S3, data processing and analysis: receiving and storing the key parameter data in the step S2, processing and analyzing the received information, and calculating key indexes in the composting process, the key indexes including a compost maturity index and a compost efficiency index. The method has the advantages that the compost state can be accurately mastered, and the control strategy can be timely adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of composting, and more particularly to a composting process intelligent monitoring method and system. Background Art

[0002] With the rapid development of livestock and poultry farming, livestock and poultry manure is a rich organic waste resource, containing a large amount of organic matter, nitrogen, phosphorus, potassium and other nutrients and microorganisms. Through composting treatment, these wastes can be converted into valuable organic fertilizers to achieve resource recycling. This can not only reduce the pollution of livestock and poultry manure to the environment, but also provide high-quality organic fertilizers for agricultural production and promote the sustainable development of agriculture.

[0003] In the process of composting production, traditional manual monitoring methods have many shortcomings. First, manual monitoring is difficult to achieve real-time and accurate monitoring of various environmental indicators in the composting process, such as temperature, oxygen concentration, humidity and other key parameters, which are crucial to the fermentation efficiency and product quality of the compost. Due to the lag and inaccuracy of manual monitoring, problems in the composting process are often difficult to detect and deal with in a timely manner, thus affecting the fermentation effect of the compost and the quality of the final product.

[0004] In view of this, we propose an intelligent monitoring method and system for composting process. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for intelligent monitoring of a composting process, aiming to solve the problem that the hysteresis and inaccuracy of manual monitoring of the composting process affect the fermentation effect of the compost and the quality of the final product.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for intelligent monitoring of a composting process, the method comprising the following steps:

[0007] S1: Data acquisition: Acquire key parameter data during composting, including temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content, and total phosphorus content;

[0008] S2: Data transmission: Transmitting the key parameter data obtained in the above step S1;

[0009] S3: Data processing and analysis: receiving and storing the key parameter data in the above step S2, processing and analyzing the received information, and calculating the key indicators of the composting process, which include the compost maturity index and the compost efficiency index;

[0010] S4: Early Warning and Regulation: Monitor the key indicators calculated in step S3 above, and set a threshold range. When the value of the key indicator deviates from the preset threshold range, an early warning is issued.

[0011] An intelligent monitoring system for the composting process, which is used to implement the intelligent monitoring method for the composting process described above, including a data acquisition module, a data transmission module, a data processing and analysis module, an intelligent regulation module, and a user interaction module;

[0012] The data acquisition module is used to obtain key parameter data during the composting process in real time;

[0013] The data transmission module is used to transmit the collected data to the data processing and analysis module;

[0014] The data processing and analysis module is used to process and analyze the data, and calculate the compost maturity index and the compost efficiency index, where:

[0015] The calculation formula for the compost maturity index is: Compost maturity index = α×T + β×H + γ×PH + δ×(O2 / O2_max) - ε×(C / N - C / N_opt) - ζ×(C / P - C / P_opt);

[0016] The calculation formula for the compost efficiency index is: Compost efficiency index = (ΔMI / Δt) / (ΔResource / Δt);

[0017] Where T is the temperature, H is the humidity, PH is the pH value, O2 is the oxygen concentration, O2_max is the maximum value of the oxygen concentration, C / N is the carbon-nitrogen ratio, C / P is the carbon-phosphorus ratio, C / N_opt and C / P_opt are the optimal carbon-nitrogen ratio and the optimal carbon-phosphorus ratio respectively, α, β, γ, δ, ε, ζ are weight coefficients preset according to the compost type and conditions, ΔMI is the change amount of the compost maturity index, Δt is the time change amount, ΔResource is the resource consumption, and the resource consumption includes the consumption of oxygen, water, and regulator;

[0018] And trigger an early warning signal or a regulation instruction according to the analysis result. The triggering conditions for the early warning signal include: T > T_max or T < T_min, H > H_max or H < H_min, MI < MI_min or MI > MI_max, where T_max, T_min, H_max, H_min, MI_min, MI_max are the upper and lower threshold values of the temperature, humidity, and compost maturity index respectively;

[0019] The intelligent regulation module is used to automatically adjust the composting process according to the regulation instruction;

[0020] The user interaction module is used to display composting process parameters, early warning information and control suggestions, and allows the user to set parameters and perform control operations.

[0021] Preferably, the data acquisition module includes a temperature sensor, a humidity sensor, a pH sensor, an oxygen sensor and an organic carbon / nitrogen / phosphorus analyzer, which are used to measure the temperature, humidity, pH, oxygen concentration and organic carbon, nitrogen and phosphorus contents in the composting process in real time, and perform preliminary data processing and calibration.

[0022] Preferably, the data transmission module adopts wireless communication technology to transmit the collected data to the data processing and analysis module in real time, and supports data compression and encrypted transmission to improve data transmission efficiency and security.

[0023] Preferably, the data processing and analysis module also includes a machine learning algorithm and an adaptive optimization algorithm, which are used to predict the future trend of the composting process based on historical data and current data, and optimize the calculation formula and weight coefficient of the compost maturity index and the compost efficiency index, while automatically adjusting the warning threshold and control strategy according to the actual situation of the composting process.

[0024] Preferably, the intelligent control module includes a ventilation control unit, a humidification / dehumidification control unit, a pH adjustment unit, an additive delivery unit and a temperature adjustment unit, which are used to automatically adjust the ventilation volume, humidity, pH, additive delivery amount and temperature during the composting process according to the control instructions output by the data processing and analysis module, so as to achieve optimal control of the composting process.

[0025] Preferably, the user interaction module includes a touch screen display, a keyboard and a speaker, which are used to display composting process parameters, warning information and control suggestions, and allow users to input parameter settings and control instructions through the keyboard. The speaker is used to issue sound alarms. In addition, the user interaction module also supports data export and report generation functions, which is convenient for users to perform subsequent data analysis and processing.

[0026] Preferably, it also includes a remote monitoring module and a cloud storage module. The remote monitoring module is used to remotely transmit composting process parameters, warning information and control suggestions to the user's mobile device or computer to achieve remote monitoring and management; the cloud storage module is used to upload composting process data, analysis results and control records to a cloud server to achieve long-term data storage and remote access.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The present invention can accurately grasp the fermentation state of compost and timely adjust the control strategy by real-time monitoring and analyzing the key parameters in the composting process and calculating the compost maturity index and compost efficiency index, thereby significantly improving the quality and efficiency of compost, and contributing to the production of more stable and efficient organic fertilizers to meet the needs of agricultural production.

[0029] 2. The present invention can monitor abnormal conditions in the composting process in real time according to a preset threshold range and issue a warning signal in time. At the same time, it can automatically adjust the composting process according to the warning signal, thereby effectively avoiding potential risks in the composting process and ensuring the smooth progress of the composting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the flow of the intelligent monitoring method of the composting process of the present invention;

[0031] Figure 2 It is a schematic diagram of the intelligent monitoring system for composting process of the present invention. DETAILED DESCRIPTION

[0032] like Figure 1 As shown, a composting process intelligent monitoring method comprises the following steps:

[0033] S1: Data acquisition: Acquire key parameter data during composting, including temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content, and total phosphorus content;

[0034] S2: Data transmission: Transmitting the key parameter data obtained in the above step S1;

[0035] S3: Data processing and analysis: receiving and storing the key parameter data in the above step S2, processing and analyzing the received information, and calculating the key indicators of the composting process, which include the compost maturity index and the compost efficiency index;

[0036] S4: Early warning and control: monitor the key indicators calculated in the above step S3, and set the threshold range. When the value of the key indicator deviates from the preset threshold range, issue an early warning;

[0037] By real-time monitoring and analysis of key parameters in the composting process and calculating the compost maturity index and compost efficiency index, it can accurately grasp the fermentation status of the compost and adjust the control strategy in time, thereby significantly improving the quality and efficiency of the compost, and helping to produce more stable and efficient organic fertilizers to meet the needs of agricultural production.

[0038] like Figure 2A smart monitoring system for the composting process is shown. This system is used to implement the smart monitoring method for the composting process described above, and includes a data acquisition module, a data transmission module, a data processing and analysis module, a smart regulation module, and a user interaction module;

[0039] The data acquisition module is used to obtain key parameter data in the composting process in real time;

[0040] The data transmission module is used to transmit the collected data to the data processing and analysis module;

[0041] The data processing and analysis module is used to process and analyze the data, and calculate the compost maturity index and the compost efficiency index, where:

[0042] The calculation formula for the compost maturity index is: Compost maturity index = α×T + β×H + γ×PH + δ×(O2 / O2_max) - ε×(C / N - C / N_opt) - ζ×(C / P - C / P_opt);

[0043] The calculation formula for the compost efficiency index is: Compost efficiency index = (ΔMI / Δt) / (ΔResource / Δt);

[0044] Where T is the temperature, H is the humidity, PH is the pH value, O2 is the oxygen concentration, O2_max is the maximum value of the oxygen concentration, C / N is the carbon-nitrogen ratio, C / P is the carbon-phosphorus ratio, C / N_opt and C / P_opt are the optimal carbon-nitrogen ratio and the optimal carbon-phosphorus ratio respectively, α, β, γ, δ, ε, ζ are weight coefficients preset according to the compost type and conditions, ΔMI is the change amount of the compost maturity index, Δt is the time change amount, ΔResource is the resource consumption amount, and the resource consumption amount includes the consumption amounts of oxygen, water, and regulators;

[0045] And trigger a warning signal or a regulation instruction according to the analysis result. The trigger conditions for the warning signal include: T > T_max or T < T_min, H > H_max or H < H_min, MI < MI_min or MI > MI_max, where T_max, T_min, H_max, H_min, MI_min, MI_max are the upper and lower limit thresholds of the temperature, humidity, and compost maturity index respectively;

[0046] The smart regulation module is used to automatically adjust the composting process according to the regulation instruction;

[0047] The user interaction module is used to display the composting process parameters, warning information, and regulation suggestions, and allow the user to perform parameter settings and regulation operations;

[0048] The data acquisition module includes a temperature sensor, a humidity sensor, a pH sensor, an oxygen sensor and an organic carbon / nitrogen / phosphorus analyzer, which are used to measure the temperature, humidity, pH, oxygen concentration and organic carbon, nitrogen and phosphorus content in the composting process in real time, and perform preliminary data processing and calibration;

[0049] The data transmission module uses wireless communication technology to transmit the collected data to the data processing and analysis module in real time, and supports data compression and encryption transmission to improve data transmission efficiency and security;

[0050] The data processing and analysis module also includes a machine learning algorithm and an adaptive optimization algorithm, which are used to predict the future trend of the composting process based on historical data and current data, and optimize the calculation formula and weight coefficient of the compost maturity index and the compost efficiency index, and automatically adjust the warning threshold and control strategy according to the actual situation of the composting process;

[0051] The intelligent control module includes a ventilation control unit, a humidification / dehumidification control unit, a pH adjustment unit, an additive delivery unit and a temperature adjustment unit, which are used to automatically adjust the ventilation volume, humidity, pH, additive delivery amount and temperature during the composting process according to the control instructions output by the data processing and analysis module, so as to achieve optimal control of the composting process;

[0052] The user interaction module includes a touch screen display, a keyboard and a speaker, which are used to display composting process parameters, warning information and control suggestions, and allow users to input parameter settings and control instructions through the keyboard. The speaker is used to issue sound alarms. In addition, the user interaction module also supports data export and report generation functions, which is convenient for users to perform subsequent data analysis and processing;

[0053] It also includes a remote monitoring module and a cloud storage module. The remote monitoring module is used to remotely transmit composting process parameters, warning information and control suggestions to the user's mobile device or computer to achieve remote monitoring and management; the cloud storage module is used to upload composting process data, analysis results and control records to the cloud server to achieve long-term data storage and remote access;

[0054] The intelligent monitoring system for the composting process realizes comprehensive monitoring and precise control of the composting process by real-time monitoring of key parameters in the composting process and calculating the compost maturity index and compost efficiency index. The system has an intelligent early warning function, which can detect and handle abnormal situations in time to ensure the safe progress of the composting process. At the same time, the system also supports remote monitoring and management, data visualization and report generation, etc., which provides great convenience for users. In addition, the system ensures the stability and security of data transmission and improves the stability and reliability of the system. In short, the intelligent monitoring system for the composting process provides strong technical support for the intelligence, automation and efficiency of the composting process, and has broad application prospects and important practical significance.

[0055] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A composting process intelligent monitoring method, characterized in that: The method includes the following steps: S1: Data acquisition: Obtain the key parameter data during the composting process, and the parameter data includes temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content, and total phosphorus content; S2: Data transmission: Transmit the key parameter data obtained in step S1 above; S3: Data processing and analysis: Receive and store the key parameter data in step S2 above, process and analyze the received information, and calculate the key indicators during the composting process. The key indicators include the compost maturity index and the compost efficiency index; S4: Early warning and regulation: Monitor the key indicators calculated in step S3 above, and set a threshold range. When the value of the key indicator deviates from the preset threshold range, an early warning is issued.

2. A composting process intelligent monitoring system, which is used to implement the composting process intelligent monitoring method described in claim 1, characterized in that: It includes a data acquisition module, a data transmission module, a data processing and analysis module, an intelligent regulation module, and a user interaction module; The data acquisition module is used to obtain the key parameter data during the composting process in real time; The data transmission module is used to transmit the collected data to the data processing and analysis module; The data processing and analysis module is used to process and analyze the data, and calculate the compost maturity index and the compost efficiency index, where: The calculation formula for the compost maturity index is: Compost maturity index = α×T + β×H + γ×pH + δ×(O2 / O2_max) - ε×(C / N - C / N_opt) - ζ×(C / P - C / P_opt); The calculation formula for the compost efficiency index is: Compost efficiency index = (ΔMI / Δt) / (ΔResource / Δt); Where T is the temperature, H is the humidity, pH is the acidity and alkalinity, O2 is the oxygen concentration, O2_max is the maximum value of the oxygen concentration, C / N is the carbon-nitrogen ratio, C / P is the carbon-phosphorus ratio, C / N_opt and C / P_opt are the optimal carbon-nitrogen ratio and the optimal carbon-phosphorus ratio respectively, α, β, γ, δ, ε, ζ are weight coefficients preset according to the compost type and conditions, ΔMI is the change amount of the compost maturity index, Δt is the time change amount, ΔResource is the resource consumption amount, and the resource consumption amount includes the consumption amounts of oxygen, water, and regulator; And trigger an early warning signal or a regulation instruction according to the analysis result. The triggering conditions for the early warning signal include: T>T_max or T<T_min, H>H_max or H<H_min, MI<MI_min or MI>MI_max, where T_max, T_min, H_max, H_min, MI_min, MI_max are the upper and lower limit thresholds of the temperature, humidity, and compost maturity index respectively; The intelligent regulation module is used to automatically adjust the composting process according to the regulation instruction; The user interaction module is used to display the composting process parameters, early warning information, and regulation suggestions, and allows the user to perform parameter settings and regulation operations.

3. The intelligent monitoring system for composting process according to claim 2, characterized in that: The data acquisition module includes a temperature sensor, a humidity sensor, a pH sensor, an oxygen sensor and an organic carbon / nitrogen / phosphorus analyzer, which are used to measure the temperature, humidity, pH, oxygen concentration and organic carbon, nitrogen and phosphorus contents in the composting process in real time, and perform preliminary data processing and calibration.

4. The intelligent monitoring system for composting process according to claim 2, characterized in that: The data transmission module adopts wireless communication technology to transmit the collected data to the data processing and analysis module in real time, and also supports data compression and encrypted transmission to improve data transmission efficiency and security.

5. The intelligent monitoring system for composting process according to claim 4, characterized in that: The data processing and analysis module also includes a machine learning algorithm and an adaptive optimization algorithm, which are used to predict the future trend of the composting process based on historical data and current data, and optimize the calculation formula and weight coefficient of the compost maturity index and the compost efficiency index, while automatically adjusting the early warning threshold and control strategy according to the actual situation of the composting process.

6. The intelligent monitoring system for composting process according to claim 2, characterized in that: The intelligent control module includes a ventilation control unit, a humidification / dehumidification control unit, a pH adjustment unit, an additive delivery unit and a temperature adjustment unit, which are used to automatically adjust the ventilation volume, humidity, pH, additive delivery amount and temperature during the composting process according to the control instructions output by the data processing and analysis module to achieve optimal control of the composting process.

7. The intelligent monitoring system for composting process according to claim 2, characterized in that: The user interaction module includes a touch screen display, a keyboard and a speaker, which are used to display composting process parameters, warning information and control suggestions, and allow users to input parameter settings and control instructions through the keyboard. The speaker is used to issue sound alarms. In addition, the user interaction module also supports data export and report generation functions, which is convenient for users to perform subsequent data analysis and processing.

8. The intelligent monitoring system for composting process according to claim 2, characterized in that: It also includes a remote monitoring module and a cloud storage module. The remote monitoring module is used to remotely transmit composting process parameters, early warning information and control suggestions to the user's mobile device or computer to achieve remote monitoring and management; the cloud storage module is used to upload composting process data, analysis results and control records to the cloud server to achieve long-term data storage and remote access.

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