Bio-organic fertilizer production management and control system based on sensor monitoring

Abstract

The invention belongs to the technical field of organic fertilizer production supervision, and particularly relates to a bio-organic fertilizer production management and control system based on sensor monitoring, which comprises a raw material quality inspection module, a fermentation monitoring output module, a fermentation intelligent regulation and control module, a fermentation management analysis early warning module and a production management and control terminal, the raw material quality inspection module is used for analyzing to feed back the quality performance of the bio-organic fertilizer raw material, the bio-organic fertilizer raw material is fermented when a quality inspection qualification signal is generated, and the fermentation monitoring output module is used for monitoring a fermentation heap and collecting various fermentation information of the fermentation heap. The fermentation intelligent regulation and control module performs adaptive regulation operation on a fermentation heap body in time based on fermentation information, comprehensively analyzes and accurately evaluates the management and control performance of the fermentation process of the bio-organic fertilizer through the fermentation management analysis early warning module, and performs reason investigation and analysis and strengthens fermentation supervision when a fermentation management early warning signal is generated; the quality of the produced bio-organic fertilizer is obviously improved.

Description

Technical Field

[0001] The invention relates to the technical field of organic fertilizer production supervision, and in particular to a bio-organic fertilizer production control system based on sensor monitoring. Background Art

[0002] Bio-organic fertilizer is a compound of specific functional microorganisms and organic raw materials mainly derived from animal and plant residues after corresponding treatment. It not only contains rich organic matter and multiple nutrients, but also contains a large number of beneficial microorganisms. The use of bio-organic fertilizer can significantly reduce the application of chemical fertilizers, reduce agricultural non-point source pollution, and improve the quality and safety of agricultural products.

[0003] The production process of bio-organic fertilizer is mainly divided into the raw material pretreatment stage and the fermentation stage. At present, it is difficult to reasonably analyze and accurately judge the quality of raw materials before the raw material fermentation stage, and it is difficult to effectively monitor and control the fermentation process and accurately evaluate the fermentation management performance, which is not conducive to reducing the difficulty of bio-organic fertilizer production supervision and ensuring the quality of organic fertilizer. The level of intelligence and automation is low;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The object of the present invention is to provide a bio-organic fertilizer production control system based on sensor monitoring, which solves the problem that the prior art is difficult to reasonably analyze and accurately judge the quality status of raw materials before the raw material fermentation stage, and is difficult to effectively monitor and control the fermentation process and accurately evaluate the fermentation management performance, which is not conducive to reducing the difficulty of production supervision and ensuring the quality of organic fertilizer.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The bio-organic fertilizer production control system based on sensor monitoring includes raw material quality inspection module, fermentation monitoring output module, fermentation intelligent control module, fermentation management analysis and early warning module and production control terminal;

[0008] The raw material quality inspection module takes samples from the processed bio-organic fertilizer raw materials, and performs quality inspection and analysis on the raw material samples to generate a raw material quality inspection qualified signal or a raw material quality inspection abnormal signal, and sends the raw material quality inspection qualified signal or the raw material quality inspection abnormal signal to the production control terminal. When the production control terminal receives the raw material quality inspection abnormal signal, it issues a corresponding warning;

[0009] When the quality inspection qualified signal is generated, the bio-organic fertilizer raw material is fermented, the fermentation monitoring output module monitors the fermentation pile, collects various fermentation information of the fermentation pile, and transmits the fermentation information to the fermentation intelligent control module;

[0010] The fermentation intelligent control module determines whether there are fermentation parameters that do not meet the requirements based on the fermentation information. If there are fermentation parameters that do not meet the requirements, a corresponding control instruction is generated, and adaptive adjustment operations are performed on the fermentation stack based on the control instruction;

[0011] The fermentation management analysis and early warning module conducts a comprehensive analysis on the management performance of the fermentation process during the detection period, generates a fermentation management qualification signal or a fermentation management early warning signal through analysis, and sends the fermentation management qualification signal or the fermentation management early warning signal to the production control terminal. When the production control terminal receives the fermentation management early warning signal, it issues a corresponding early warning.

[0012] Furthermore, the specific analysis process of the raw material quality inspection module includes:

[0013] The average particle size of particles in the raw material sample is collected and marked as the raw material particle size value, and the water content and carbon-nitrogen ratio of the raw material sample are collected, the water content of the raw material sample is calculated by difference with the median of the preset suitable water content range and the absolute value is taken to obtain the raw material water content value, the carbon-nitrogen ratio of the raw material sample is calculated by difference with the median of the preset carbon-nitrogen ratio range and the absolute value is taken to obtain the raw material carbon-nitrogen value, and the heavy metal pollution value is obtained by heavy metal identification and summary analysis;

[0014] The raw material quality inspection value is obtained by numerically calculating the raw material particle size value, raw material moisture content value, raw material carbon and nitrogen value and heavy metal pollution value, and the raw material quality inspection value is numerically compared with the preset raw material quality inspection threshold value. If the raw material quality inspection value exceeds the preset raw material quality inspection threshold value, a raw material quality inspection abnormality signal is generated; if the raw material quality inspection value does not exceed the preset raw material quality inspection threshold value, a raw material quality inspection qualified signal is generated.

[0015] Furthermore, the specific analysis process of heavy metal identification and summary analysis is as follows:

[0016] Obtain the types of heavy metals that need to be monitored, test the raw material samples to collect the content of the corresponding types of heavy metals in the raw material samples and mark them as heavy metal detection values, set each type of heavy metal in advance to correspond to a set of preset pollution impact values, mark the product of the heavy metal detection value of the corresponding type of heavy metal and the corresponding preset pollution impact value as the heavy metal risk value, and mark the sum of the heavy metal risk values ​​of all types of heavy metals present in the raw material samples as the heavy metal pollution value.

[0017] Furthermore, the specific analysis process of the fermentation management analysis and early warning module is as follows:

[0018] The number of fermentation tube abnormal parameters during the detection period is obtained and defined as the fermentation tube abnormal parameter value, and the excess value of the parameter tube inspection value of the corresponding fermentation tube abnormal parameter compared with the corresponding preset parameter tube inspection threshold is marked as the parameter abnormal excess value, and the parameter abnormal excess value with the largest value is marked as the parameter abnormal amplitude value, and the mean of all parameter abnormal excess values ​​is marked as the parameter abnormal analysis value;

[0019] And obtain the fermentation contamination detection value, obtain the fermentation management warning coefficient by numerically calculating the fermentation contamination detection value, the fermentation tube abnormal parameter value, the parameter abnormal amplitude value and the parameter abnormal analysis value, and numerically compare the fermentation management warning coefficient with the preset fermentation management warning coefficient threshold value. If the fermentation management warning coefficient exceeds the preset fermentation management warning coefficient threshold value, a fermentation management warning signal is generated; if the fermentation management warning coefficient does not exceed the preset fermentation management warning coefficient threshold value, a fermentation management qualified signal is generated.

[0020] Furthermore, the fermentation management analysis and early warning module is communicated with the parameter management grading module. The parameter management grading module analyzes the management quality of the corresponding fermentation parameters during the detection period, and marks the corresponding fermentation parameters as abnormal parameters of the fermentation tube or excellent parameters of the fermentation tube through analysis, and sends the marking information of all fermentation parameters to the fermentation management analysis and early warning module and the production control terminal.

[0021] Furthermore, the specific analysis process of the parameter management analysis and early warning module is as follows:

[0022] When it is determined that the corresponding fermentation parameter does not meet the requirements, the timing starts, and the corresponding fermentation parameter meets the requirements, thereby obtaining the characteristic duration; obtaining the number of times that the corresponding fermentation parameter does not meet the requirements within the detection period and marking it as a non-compliant frequency, and calculating the mean of all characteristic durations of the corresponding fermentation parameter within the detection period to obtain a parameter re-inspection value, and comparing the characteristic duration with the corresponding preset characteristic duration threshold, and marking the number of characteristic durations that exceed the corresponding preset characteristic duration threshold within the detection period as a non-repeated frequency;

[0023] The parameter inspection value of the corresponding fermentation parameter in the detection period is obtained by numerically calculating the non-compliance frequency, parameter re-inspection value and non-rapid repetition frequency, and the parameter inspection value is numerically compared with the corresponding preset parameter inspection threshold. If the parameter inspection value exceeds the preset parameter inspection threshold, the corresponding fermentation parameter is marked as an abnormal fermentation parameter; if the parameter inspection value does not exceed the corresponding preset parameter inspection threshold, the corresponding fermentation parameter is marked as an optimal fermentation parameter.

[0024] Furthermore, the fermentation management analysis and early warning module is communicatively connected to the fermentation pollution detection module. The fermentation pollution detection module detects the gas and liquid discharged to the outside by the fermentation process during the detection period, and analyzes the pollution emission treatment performance of the fermentation process during the detection period. The fermentation pollution detection value of the fermentation process during the detection period is obtained through analysis, and the fermentation pollution detection value is sent to the fermentation management analysis and early warning module.

[0025] Furthermore, the specific analysis process of the fermentation pollution detection module is as follows:

[0026] During the fermentation process, ammonia content data, hydrogen sulfide content data and volatile organic acid content data of the exhaust gas are collected, and the ammonia content data, hydrogen sulfide content data and volatile organic acid content data are numerically calculated to obtain a fermentation exhaust warning value; the fermentation exhaust warning value is numerically compared with a preset fermentation exhaust warning threshold value, and if the fermentation exhaust warning value exceeds the preset fermentation exhaust warning threshold value, the corresponding fermentation exhaust warning value is marked as a fermentation exhaust abnormal warning value;

[0027] and collecting chemical oxygen demand data, total phosphorus data, total nitrogen data, pH deviation data and suspended solids content data of the discharged liquid, performing numerical calculation on the chemical oxygen demand data, total phosphorus data, total nitrogen data, pH deviation data and suspended solids content data to obtain a fermentation drainage warning value; performing numerical comparison on the fermentation drainage warning value and a preset fermentation drainage warning threshold value, and if the fermentation drainage warning value exceeds the preset fermentation drainage warning threshold value, marking the corresponding fermentation drainage warning value as a fermentation drainage abnormal warning value;

[0028] The number of fermentation exhaust gas abnormality alarm values ​​in the fermentation process during the detection period is obtained and the ratio is calculated with the number of fermentation exhaust gas warning values ​​to obtain the fermentation exhaust gas abnormality detection value, and the number of fermentation liquid discharge abnormality alarm values ​​is calculated with the number of fermentation liquid discharge warning values ​​to obtain the fermentation liquid discharge abnormality detection value, and the average value of the excess value of all fermentation exhaust gas abnormality alarm values ​​during the detection period compared with the preset fermentation exhaust gas warning value is marked as the fermentation exhaust alarm excess value, and the average value of the excess value of all fermentation liquid discharge abnormality alarm values ​​during the detection period compared with the preset fermentation liquid discharge warning value is marked as the fermentation liquid discharge alarm excess value;

[0029] The fermentation contamination detection value is obtained by numerically calculating the fermentation exhaust abnormal detection value, the fermentation drainage abnormal detection value, the fermentation exhaust warning value and the fermentation drainage warning value.

[0030] Furthermore, when the fermentation exhaust warning value exceeds the preset fermentation exhaust warning threshold or the fermentation liquid discharge warning value exceeds the preset fermentation liquid discharge warning threshold, fermentation emission abnormal alarm information is generated and the fermentation emission abnormal alarm information is sent to the production control terminal, which displays the fermentation emission abnormal alarm information and issues a warning.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the raw material sample of the bio-organic fertilizer raw material is subjected to quality inspection and analysis to feedback its quality performance through the raw material quality inspection module, the bio-organic fertilizer raw material is fermented when the quality inspection qualified signal is generated, the fermentation monitoring output module monitors the fermentation pile and collects its various fermentation information, and the fermentation intelligent control module makes adaptive adjustment operation to the fermentation pile in time based on the fermentation information, realizes accurate monitoring and efficient control of the whole process of bio-organic fertilizer fermentation, significantly improves production efficiency and ensures product quality, and has high intelligence and automation level;

[0033] 2. In the present invention, the parameter management grading module is used to analyze the management advantages and disadvantages of all fermentation parameters within the detection period one by one to determine the abnormal parameters or optimal parameters of the fermentation tube. The fermentation pollution detection module analyzes the pollution emission treatment performance of the fermentation process within the detection period. The fermentation management analysis and early warning module accurately evaluates the control status of the bio-organic fertilizer fermentation process based on the output information of the parameter management grading module and the fermentation pollution detection module. When the fermentation management early warning signal is generated, the cause investigation and analysis is carried out and the fermentation supervision is strengthened to ensure the smooth progress of the fermentation process and further improve the product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1: Figure 1 As shown, the bio-organic fertilizer production control system based on sensor monitoring proposed in the present invention includes a raw material quality inspection module, a fermentation monitoring output module, a fermentation intelligent control module, a fermentation management analysis and early warning module and a production control terminal;

[0039] The raw material quality inspection module takes samples from the processed bio-organic fertilizer raw materials, and performs quality inspection and analysis on the raw material samples to generate a raw material quality inspection qualified signal or a raw material quality inspection abnormal signal, and sends the raw material quality inspection qualified signal or the raw material quality inspection abnormal signal to the production control terminal. When the production control terminal receives the raw material quality inspection abnormal signal, it issues a corresponding early warning. When the early warning is issued, the corresponding bio-organic fertilizer raw materials are temporarily not fermented, and the bio-organic fertilizer raw materials are subjected to corresponding treatment measures, thereby ensuring the quality of the produced bio-organic fertilizer; the specific analysis process of the raw material quality inspection module is as follows:

[0040] The average particle size of the particles in the raw material sample is collected and marked as the raw material particle size value, and the water content and carbon-nitrogen ratio (the ratio of the total carbon content to the total nitrogen content in the raw material) of the raw material sample are collected, wherein the water content and carbon-nitrogen ratio of the raw material should be within an appropriate range;

[0041] The moisture content of the raw material sample is calculated by difference with the median of the preset suitable moisture content range and the absolute value is taken to obtain the moisture content value of the raw material; the carbon-nitrogen ratio of the raw material sample is calculated by difference with the median of the preset carbon-nitrogen ratio range and the absolute value is taken to obtain the carbon-nitrogen value of the raw material;

[0042] And obtaining the heavy metal pollution value through heavy metal identification summary analysis, specifically: obtaining the types of heavy metals to be monitored, testing the raw material samples to collect the content of the corresponding types of heavy metals in the raw material samples and marking them as heavy metal detection values, and setting each type of heavy metal to correspond to a set of preset pollution impact values ​​in advance, wherein the values ​​of the preset pollution impact values ​​are all positive numbers, and the greater the harm caused by the corresponding type of heavy metal, the greater the value of the preset pollution impact value that matches it;

[0043] The product of the heavy metal detection value of the corresponding type of heavy metal and the corresponding preset pollution impact value is marked as the heavy metal risk value, and the sum of the heavy metal risk values ​​of all types of heavy metals present in the raw material sample is marked as the heavy metal pollution value; wherein, the larger the value of the heavy metal pollution value, the more serious the heavy metal hazard of the raw material sample;

[0044] The raw material particle size value XP, the raw material moisture value XS, the raw material carbon and nitrogen value XY and the heavy metal pollution value XW are numerically calculated by the formula XR=(um1*XP+um2*XS+um3*XY+um4*XW) / 4 to obtain the raw material quality inspection value XR; wherein um1, um2, um3 and um4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the raw material quality inspection value XR, the worse the raw material quality of the biological organic fertilizer raw material;

[0045] The raw material quality inspection value XR is numerically compared with the preset raw material quality inspection threshold. If the raw material quality inspection value XR exceeds the preset raw material quality inspection threshold, it indicates that the raw material quality of the bio-organic fertilizer raw material is poor, which is not conducive to ensuring the quality of the produced bio-organic fertilizer, and a raw material quality inspection abnormal signal is generated; if the raw material quality inspection value XR does not exceed the preset raw material quality inspection threshold, it indicates that the raw material quality of the bio-organic fertilizer raw material is good, and a raw material quality inspection qualified signal is generated.

[0046] When the quality inspection qualified signal is generated, the bio-organic fertilizer raw material is fermented, and the fermentation monitoring output module monitors the fermentation pile through sensors (including temperature sensors, humidity sensors, pH detection sensors, etc.), collects various fermentation information of the fermentation pile, that is, the detection data of various fermentation parameters (including temperature, humidity, pH value, oxygen concentration and carbon dioxide concentration, etc.), and transmits the fermentation information to the fermentation intelligent control module.

[0047] The fermentation intelligent control module determines whether there are fermentation parameters that do not meet the requirements based on the fermentation information. If there are fermentation parameters that do not meet the requirements, the corresponding control instructions are generated, and adaptive adjustment operations are made to the fermentation pile based on the control instructions, realizing accurate monitoring and efficient control of the entire process of bio-organic fertilizer fermentation, which has the advantages of improving production efficiency, improving product quality, reducing production costs and enhancing management capabilities.

[0048] For example, when the temperature sensor detects that the temperature of the fermentation pile is too high, the cooling system is started or the ventilation volume is increased or the material is turned over to lower the temperature; when the humidity sensor detects that the humidity is too low, an appropriate amount of water is sprayed to increase the humidity; and according to the pH measurement results, the pH value of the material is adjusted to an appropriate range by adding acid-base regulators (such as lime, gypsum, etc.).

[0049] During the fermentation process, the fermentation management analysis and early warning module will conduct a comprehensive analysis of the management performance of the fermentation process during the detection period, generate a fermentation management qualified signal or a fermentation management early warning signal through analysis, and send the fermentation management qualified signal or the fermentation management early warning signal to the production control terminal. When the production control terminal receives the fermentation management early warning signal, it will issue a corresponding early warning, which can comprehensively analyze and accurately evaluate the control status of the bio-organic fertilizer fermentation process. When the fermentation management early warning signal is generated, the cause investigation and analysis will be carried out and corresponding treatment and improvement measures will be taken to remind the management personnel to strengthen the fermentation supervision, so as to ensure the smooth progress of the fermentation process and improve the product quality. The specific analysis process of the fermentation management analysis and early warning module is as follows:

[0050] The number of fermentation tube abnormal parameters during the detection period is obtained and defined as the fermentation tube abnormal parameter value, and the excess value of the parameter tube inspection value of the corresponding fermentation tube abnormal parameter compared with the corresponding preset parameter tube inspection threshold is marked as the parameter abnormal excess value, and the parameter abnormal excess value with the largest value is marked as the parameter abnormal amplitude value, and the mean value of all parameter abnormal excess values ​​is marked as the parameter abnormal analysis value, and the fermentation contamination detection value WF is obtained;

[0051] The fermentation management warning coefficient WY is obtained by numerically calculating the fermentation pollution detection value WF, the fermentation tube parameter value WK, the parameter amplitude value WN and the parameter analysis value WP through the formula WY=sq1*WF+sq2*WK+(sq3*WN+sq4*WP) / 2; wherein sq1, sq2, sq3 and sq4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the fermentation management warning coefficient WY, the worse the overall control status of the fermentation process during the detection period is;

[0052] The fermentation management warning coefficient WY is numerically compared with the preset fermentation management warning coefficient threshold. If the fermentation management warning coefficient WY exceeds the preset fermentation management warning coefficient threshold, it indicates that the overall control status of the fermentation process during the detection period is poor, and fermentation supervision needs to be strengthened in time, then a fermentation management warning signal is generated; if the fermentation management warning coefficient WY does not exceed the preset fermentation management warning coefficient threshold, it indicates that the overall control status of the fermentation process during the detection period is poor, then a fermentation management qualified signal is generated.

[0053] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the fermentation management analysis and early warning module is connected to the parameter management classification module in communication, and the parameter management classification module analyzes the management quality of the corresponding fermentation parameters within the detection period, and marks the corresponding fermentation parameters as fermentation tube abnormal parameters or fermentation tube excellent parameters through analysis;

[0054] And sending the marking information of all fermentation parameters to the fermentation management analysis and early warning module and the production control terminal not only helps the management personnel to grasp the control performance of all fermentation parameters in detail during the fermentation process, so that the management personnel can promptly strengthen the monitoring and management of abnormal parameters in the fermentation tube in the future, but also can provide information support for the analysis process of the fermentation management analysis and early warning module to ensure the accuracy of its analysis results; the specific analysis process of the parameter management analysis and early warning module is as follows:

[0055] When it is determined that the corresponding fermentation parameter does not meet the requirements, the timing starts, and the corresponding fermentation parameter meets the requirements, thereby obtaining the characteristic duration; obtaining the number of times that the corresponding fermentation parameter does not meet the requirements within the detection period and marking it as a non-compliant frequency, and calculating the mean of all characteristic durations of the corresponding fermentation parameter within the detection period to obtain a parameter re-inspection value, and comparing the characteristic duration with the corresponding preset characteristic duration threshold, and marking the number of characteristic durations that exceed the corresponding preset characteristic duration threshold within the detection period as a non-repeated frequency;

[0056] By formula The non-conformity frequency CP, the parameter recheck value CN and the non-rapid recheck frequency CF are numerically calculated to obtain the parameter control value CX of the corresponding fermentation parameter in the detection period; wherein b1, b2 and b3 are preset proportional coefficients, b3>b1>b2>0; and the larger the value of the parameter control value CX is, the more abnormal the control of the corresponding fermentation parameter in the fermentation process during the detection period is;

[0057] The parameter inspection value CX is numerically compared with the corresponding preset parameter inspection threshold. If the parameter inspection value CX exceeds the preset parameter inspection threshold, it indicates that the control of the corresponding fermentation parameter during the fermentation process during the detection period is relatively abnormal, and the corresponding fermentation parameter is marked as an abnormal fermentation parameter; if the parameter inspection value CX does not exceed the corresponding preset parameter inspection threshold, it indicates that the control of the corresponding fermentation parameter during the fermentation process during the detection period is relatively normal, and the corresponding fermentation parameter is marked as an excellent fermentation parameter.

[0058] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the fermentation management analysis and early warning module is communicatively connected to the fermentation pollution detection module, and the fermentation pollution detection module detects the gas and liquid discharged to the outside by the fermentation process during the detection period, and analyzes the pollution emission treatment performance of the fermentation process during the detection period, and obtains the fermentation pollution detection value WF of the fermentation process during the detection period through analysis;

[0059] The fermentation pollution detection value WF is sent to the fermentation management analysis and early warning module, which can not only accurately analyze the pollution emission treatment performance of the fermentation process during the detection period, and facilitate timely corresponding adjustment measures to reduce the environmental pollution caused to the outside world, but also provide data support for the fermentation management analysis and early warning module to further ensure the accuracy of its analysis results; the specific analysis process of the fermentation pollution detection module is as follows:

[0060] During the fermentation process, the ammonia content data, hydrogen sulfide content data and volatile organic acid content data of the discharged gas are collected, and the ammonia content data QW, the hydrogen sulfide content data QL and the volatile organic acid content data QF are numerically calculated by the formula FQ=(g1*QW+g2*QL+g3*QF) / 3 to obtain the fermentation exhaust warning value FQ; wherein g1, g2, and g3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the fermentation exhaust warning value FQ is, the greater the pollution caused by the discharged gas at the current moment to the external environment, and the worse the current treatment condition of the gas generated in the fermentation process is;

[0061] The fermentation exhaust warning value is numerically compared with the preset fermentation exhaust warning threshold. If the fermentation exhaust warning value exceeds the preset fermentation exhaust warning threshold, indicating that the real-time detection result of gas emission does not meet the standard, the corresponding fermentation exhaust warning value is marked as the fermentation exhaust abnormal warning value;

[0062] The chemical oxygen demand data, total phosphorus data, total nitrogen data, pH deviation data (i.e., the data value of the deviation of the pH value from the preset appropriate discharge pH standard value) and suspended solids content data of the discharged liquid are collected, and the chemical oxygen demand data LW, the total phosphorus data LR, the total nitrogen data LM, the pH deviation data LS and the suspended solids content data LX are numerically calculated by the formula FL=(t1*LW+t2*LR+t3*LM+t4*LS+t5*LX) / 5 to obtain the fermentation discharge liquid warning value FL;

[0063] Among them, t1, t2, t3, t4, and t5 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the fermentation drainage warning value FL, the greater the pollution caused by the liquid discharged at the current moment to the external environment, and the worse the current treatment condition of the liquid generated in the fermentation process; the fermentation drainage warning value FL is numerically compared with the preset fermentation drainage warning threshold value, if the fermentation drainage warning value FL exceeds the preset fermentation drainage warning threshold value, indicating that the real-time detection result of liquid discharge does not meet the standard, then the corresponding fermentation drainage warning value is marked as the fermentation drainage abnormal warning value;

[0064] The number of fermentation exhaust gas abnormality alarm values ​​in the fermentation process during the detection period is obtained and the ratio is calculated with the number of fermentation exhaust gas warning values ​​to obtain the fermentation exhaust gas abnormality detection value, and the number of fermentation liquid discharge abnormality alarm values ​​is calculated with the number of fermentation liquid discharge warning values ​​to obtain the fermentation liquid discharge abnormality detection value, and the average value of the excess value of all fermentation exhaust gas abnormality alarm values ​​during the detection period compared with the preset fermentation exhaust gas warning value is marked as the fermentation exhaust alarm excess value, and the average value of the excess value of all fermentation liquid discharge abnormality alarm values ​​during the detection period compared with the preset fermentation liquid discharge warning value is marked as the fermentation liquid discharge alarm excess value;

[0065] By formula The fermentation exhaust abnormal detection value NY, the fermentation drainage abnormal detection value NW, the fermentation exhaust warning value NP and the fermentation drainage warning value NF are numerically calculated to obtain the fermentation pollution detection value WF; wherein sx1, sx2, sx3, and sx4 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the fermentation pollution detection value WF, the worse the overall pollution emission management status of the fermentation process during the detection period.

[0066] Furthermore, when the fermentation exhaust warning value exceeds the preset fermentation exhaust warning threshold or the fermentation liquid discharge warning value exceeds the preset fermentation liquid discharge warning threshold, fermentation emission abnormal alarm information is generated, and the fermentation emission abnormal alarm information is sent to the production control terminal. The production control terminal displays the fermentation emission abnormal alarm information and issues a warning to remind management personnel to conduct a timely cause investigation and make reasonable improvement measures, thereby significantly reducing the pollution of the external environment caused by the discharged gas and liquid, and reducing the difficulty of management personnel in supervising the fermentation process of biological organic fertilizer.

[0067] The working principle of the invention is as follows: when in use, the raw material quality inspection module performs quality inspection and analysis on the raw material sample of the biological organic fertilizer raw material to feedback its quality performance, the biological organic fertilizer raw material is fermented when a quality inspection qualified signal is generated, and the quality of the produced biological organic fertilizer is ensured, the fermentation monitoring output module monitors the fermentation pile and collects various fermentation information thereof, the fermentation intelligent control module judges whether there are fermentation parameters that do not meet the requirements based on the fermentation information, and if there are fermentation parameters that do not meet the requirements, the fermentation pile is adaptively adjusted to achieve accurate monitoring and efficient control of the entire biological organic fertilizer fermentation process, significantly improve production efficiency and ensure product quality, and the fermentation management analysis and early warning module comprehensively analyzes the management performance of the fermentation process within the detection period, can comprehensively analyze and accurately evaluate the control status of the biological organic fertilizer fermentation process, conducts cause investigation and analysis and strengthens fermentation supervision when a fermentation management early warning signal is generated, ensures the smooth progress of the fermentation process and further improves product quality.

[0068] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A bio-organic fertilizer production control system based on sensor monitoring, characterized in that: It includes raw material quality inspection module, fermentation monitoring output module, fermentation intelligent control module, fermentation management analysis and early warning module and production control terminal; The raw material quality inspection module takes samples from the processed bio-organic fertilizer raw materials, and performs quality inspection and analysis on the raw material samples to generate a raw material quality inspection qualified signal or a raw material quality inspection abnormal signal, and sends the raw material quality inspection qualified signal or the raw material quality inspection abnormal signal to the production control terminal. When the production control terminal receives the raw material quality inspection abnormal signal, it issues a corresponding warning; When the quality inspection qualified signal is generated, the bio-organic fertilizer raw material is fermented, the fermentation monitoring output module monitors the fermentation pile, collects various fermentation information of the fermentation pile, and transmits the fermentation information to the fermentation intelligent control module; The fermentation intelligent control module determines whether there are fermentation parameters that do not meet the requirements based on the fermentation information. If there are fermentation parameters that do not meet the requirements, a corresponding control instruction is generated, and adaptive adjustment operations are performed on the fermentation stack based on the control instruction; The fermentation management analysis and early warning module conducts a comprehensive analysis on the management performance of the fermentation process during the detection period, generates a fermentation management qualification signal or a fermentation management early warning signal through analysis, and sends the fermentation management qualification signal or the fermentation management early warning signal to the production control terminal. When the production control terminal receives the fermentation management early warning signal, it issues a corresponding early warning.

2. The bio-organic fertilizer production control system based on sensor monitoring according to claim 1, characterized in that: The specific analysis process of the raw material quality inspection module includes: The average particle size of particles in the raw material sample is collected and marked as the raw material particle size value, and the water content and carbon-nitrogen ratio of the raw material sample are collected, the water content of the raw material sample is calculated by difference with the median of the preset suitable water content range and the absolute value is taken to obtain the raw material water content value, the carbon-nitrogen ratio of the raw material sample is calculated by difference with the median of the preset carbon-nitrogen ratio range and the absolute value is taken to obtain the raw material carbon-nitrogen value, and the heavy metal pollution value is obtained by heavy metal identification and summary analysis; The raw material quality inspection value is obtained by numerically calculating the raw material particle size value, raw material moisture content value, raw material carbon and nitrogen value and heavy metal pollution value. If the raw material quality inspection value exceeds the preset raw material quality inspection threshold, a raw material quality inspection abnormal signal is generated; if the raw material quality inspection value does not exceed the preset raw material quality inspection threshold, a raw material quality inspection qualified signal is generated.

3. The bio-organic fertilizer production control system based on sensor monitoring according to claim 2, characterized in that, The specific analysis process of heavy metal identification summary analysis is as follows: Obtain the types of heavy metals that need to be monitored, test the raw material samples to collect the content of the corresponding types of heavy metals in the raw material samples and mark them as heavy metal detection values, set each type of heavy metal in advance to correspond to a set of preset pollution impact values, mark the product of the heavy metal detection value of the corresponding type of heavy metal and the corresponding preset pollution impact value as the heavy metal risk value, and mark the sum of the heavy metal risk values ​​of all types of heavy metals present in the raw material samples as the heavy metal pollution value.

4. The bio-organic fertilizer production control system based on sensor monitoring according to claim 1, characterized in that: The specific analysis process of the fermentation management analysis and early warning module is as follows: The number of fermentation tube abnormal parameters during the detection period is obtained and defined as the fermentation tube abnormal parameter value, and the excess value of the parameter tube inspection value of the corresponding fermentation tube abnormal parameter compared with the corresponding preset parameter tube inspection threshold is marked as the parameter abnormal excess value, and the parameter abnormal excess value with the largest value is marked as the parameter abnormal amplitude value, and the mean of all parameter abnormal excess values ​​is marked as the parameter abnormal analysis value; and obtaining a fermentation pollution detection value, and obtaining a fermentation management warning coefficient by numerically calculating the fermentation pollution detection value, the fermentation tube abnormal parameter value, the parameter abnormal amplitude value and the parameter abnormal analysis value; if the fermentation management warning coefficient exceeds a preset fermentation management warning coefficient threshold value, a fermentation management warning signal is generated; If the fermentation management warning coefficient does not exceed the preset fermentation management warning coefficient threshold, a fermentation management qualified signal is generated.

5. The bio-organic fertilizer production control system based on sensor monitoring according to claim 4, characterized in that, The fermentation management analysis and early warning module is communicated with the parameter management grading module. The parameter management grading module analyzes the management quality of the corresponding fermentation parameters during the detection period, marks the corresponding fermentation parameters as abnormal parameters of the fermentation tube or excellent parameters of the fermentation tube through analysis, and sends the marking information of all fermentation parameters to the fermentation management analysis and early warning module and the production control terminal.

6. The bio-organic fertilizer production control system based on sensor monitoring according to claim 5, characterized in that: The specific analysis process of the parameter management analysis and early warning module is as follows: When it is determined that the corresponding fermentation parameter does not meet the requirements, the timing starts, and the corresponding fermentation parameter meets the requirements, thereby obtaining the characteristic duration; obtaining the number of times that the corresponding fermentation parameter does not meet the requirements within the detection period and marking it as a non-compliant frequency, and calculating the mean of all characteristic durations of the corresponding fermentation parameter within the detection period to obtain a parameter re-inspection value, and comparing the characteristic duration with the corresponding preset characteristic duration threshold, and marking the number of characteristic durations that exceed the corresponding preset characteristic duration threshold within the detection period as a non-repeated frequency; The parameter inspection value of the corresponding fermentation parameter in the detection period is obtained by numerically calculating the non-conformity frequency, parameter re-inspection value and non-rapid repetition frequency. If the parameter inspection value exceeds the preset parameter inspection threshold, the corresponding fermentation parameter is marked as an abnormal fermentation parameter; if the parameter inspection value does not exceed the corresponding preset parameter inspection threshold, the corresponding fermentation parameter is marked as an optimal fermentation parameter.

7. The bio-organic fertilizer production control system based on sensor monitoring according to claim 4, characterized in that: The fermentation management analysis and early warning module is communicatively connected to the fermentation pollution detection module. The fermentation pollution detection module detects the gas and liquid discharged to the outside by the fermentation process during the detection period, and analyzes the pollution emission treatment performance of the fermentation process during the detection period. The fermentation pollution detection value of the fermentation process during the detection period is obtained through analysis, and the fermentation pollution detection value is sent to the fermentation management analysis and early warning module.

8. The bio-organic fertilizer production control system based on sensor monitoring according to claim 7, characterized in that: The specific analysis process of the fermentation pollution detection module is as follows: The number of fermentation exhaust gas abnormality alarm values ​​in the fermentation process during the detection period is obtained and the ratio is calculated with the number of fermentation exhaust gas warning values ​​to obtain the fermentation exhaust gas abnormality detection value, and the number of fermentation liquid discharge abnormality alarm values ​​is calculated with the number of fermentation liquid discharge warning values ​​to obtain the fermentation liquid discharge abnormality detection value, and the average value of the excess value of all fermentation exhaust gas abnormality alarm values ​​during the detection period compared with the preset fermentation exhaust gas warning value is marked as the fermentation exhaust alarm excess value, and the average value of the excess value of all fermentation liquid discharge abnormality alarm values ​​during the detection period compared with the preset fermentation liquid discharge warning value is marked as the fermentation liquid discharge alarm excess value; The fermentation contamination detection value is obtained by numerically calculating the fermentation exhaust abnormal detection value, the fermentation liquid discharge abnormal detection value, the fermentation exhaust warning value and the fermentation liquid discharge warning value.

9. The bio-organic fertilizer production control system based on sensor monitoring according to claim 8, characterized in that: When the fermentation exhaust warning value exceeds the preset fermentation exhaust warning threshold or the fermentation liquid discharge warning value exceeds the preset fermentation liquid discharge warning threshold, fermentation emission abnormal alarm information is generated and sent to the production control terminal.

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