Bio-fertilizer preparation system and process based on blue-green algae mud resource treatment

Abstract

The invention relates to the technical field of bio-fertilizer preparation, in particular to a bio-fertilizer preparation system and process based on blue-green algae mud resource treatment, and the system comprises a control terminal, a monitoring layer, an analysis layer and a decision-making layer; the control terminal is a main control terminal of the system and is used for sending out an execution command; state parameters of a mixture pile obtained by mixing cyanobacteria mud with organic matters in the fermentation and decomposition stage of the cyanobacteria mud are monitored and recorded in real time through the monitoring layer, the analysis layer synchronously receives the state parameters of the mixture pile monitored by the monitoring layer, and the fermentation and decomposition treatment progress of the mixture pile is analyzed based on the state parameters of the mixture pile. According to the invention, through comprehensive analysis of the stacking temperature, humidity, oxygen content and graphic data in the fermentation and decomposition process of the blue-green algae mud, the progress of the preparation process of the fermentation and decomposition of the blue-green algae mud is monitored, so that the process of preparing the biological fertilizer based on the blue-green algae mud can be supervised in real time through the system; the process of preparing the biological fertilizer from the blue-green algae mud is more stable, and the comprehensive efficiency and quality of the prepared blue-green algae mud biological fertilizer are better.

Description

Technical Field

[0001] The invention relates to the technical field of biofertilizer preparation, and in particular to a biofertilizer preparation system and process based on resource disposal of cyanobacteria and algae mud. Background Art

[0002] The resource disposal of cyanobacteria mud is of great significance. Through advanced technology, it can be converted into organic fertilizer, biofuel, etc. It can not only reduce environmental pollution, but also achieve resource recycling. For example, it can improve the soil when made into fertilizer, and provide energy when used as fuel. This disposal method promotes ecological balance and sustainable development.

[0003] In the process of preparing bio-fertilizer through cyanobacteria mud, the fermentation and composting process is the most critical link.

[0004] The invention patent with application number 202410197768.6 discloses a method for preparing a bio-enzyme amino acid microbial fertilizer based on fermentation technology, which is characterized in that the raw materials of the bio-enzyme amino acid microbial fertilizer based on fermentation technology include corn straw, wheat straw, brown sugar, fish meal, chicken manure, nitrogen-fixing bacteria, phosphate-solubilizing bacteria, potassium-solubilizing bacteria, amino acids, vitamins, polysaccharides, nucleic acids, humic acid, proteases, and amylases. The method for preparing a bio-enzyme amino acid microbial fertilizer based on fermentation technology includes the following steps: step 1: raw material preparation, crop straw chopping, adding water and stirring; step 2: building a pile of crop straw, turning the pile several times, and stirring evenly as base fertilizer; step 3: wet mixing of animal raw materials, adding crop base fertilizer and stirring and mixing; step 4: adding microbial enzymes for fermentation treatment; step 5: adding organic acids and trace elements for fermentation treatment; step 6: composting the materials in the fermentation pile, turning the pile and ventilating during the period; step 7: crushing and dividing the fermented material, and packaging it.

[0005] The application aims to solve the problem that "the existing microbial fertilizers containing bio-enzymes and amino acids and their preparation methods are mostly in the form of insoluble or organic forms that are difficult for plants to absorb and utilize. If the phosphorus in this state is not improved, the soil cannot be improved to enable crops to fully absorb other nutrients. At the same time, the ability of crop residues to retain water and fertilizer in the soil is weak, and the soil quality needs to be improved."

[0006] However, compared with cyanobacteria, the initiator of algal blooms, there are many technologies for preparing bio-fertilizers using them. Fermentation and composting in the preparation process is the last and most critical link. Most of the existing preparation technologies use simple monitoring instruments, such as thermometers and hygrometers, to monitor the status of the fermentation and composting process of cyanobacteria mud, and cannot accurately and real-time monitor the progress and process of the fermentation and composting process.

[0007] To this end, we proposed a bio-fertilizer preparation system and process based on the resource utilization of cyanobacteria mud. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, the present invention provides a bio-fertilizer preparation system and process based on the resource disposal of cyanobacteria and algae mud, which solves the technical problems raised in the above-mentioned background technology.

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] First, the biofertilizer preparation system based on the resource disposal of cyanobacteria mud includes: control terminal, monitoring layer, analysis layer and decision-making layer;

[0011] The control terminal is the main control terminal of the system and is used to issue execution commands;

[0012] The state parameters of the mixed pile obtained by mixing the cyanobacteria mud with organic matter during the fermentation and composting stage are monitored and recorded in real time by the monitoring layer. The analysis layer synchronously receives the state parameters of the mixed pile monitored by the monitoring layer, and analyzes the fermentation and composting progress of the mixed pile based on the state parameters of the mixed pile. The decision layer receives the fermentation and composting progress of the mixed pile analyzed by the analysis layer in real time, and determines whether the mixed pile has completed the fermentation and composting process based on the monitoring of the fermentation and composting progress of the mixed pile, and further decides whether to push the pile based on the determination result;

[0013] The analysis layer includes a receiving module, an analyzing module and a forwarding module. The receiving module is used to receive the mixed material pile state parameters recorded in the monitoring layer. The analyzing module is used to traverse the mixed material pile state parameters received by the receiving module and analyze the mixed material pile fermentation and maturity processing progress based on the mixed material pile state parameters. The forwarding module is used to receive the mixed material pile fermentation and maturity processing progress analyzed in the analyzing module in real time and forward the mixed material pile fermentation and maturity processing progress analysis result to the decision layer.

[0014] The analysis logic of the mixed pile fermentation and composting progress in the analysis module is expressed as follows:

[0015]

[0016] Where: F is the fermentation and composting progress of the mixed material pile; F Z It is the fermentation and composting progress of the mixed material pile when the mixed material pile is in the shape of a long conical pile; N is the total amount of sensors; F i is the fermentation and composting progress of the mixed material pile where the i-th group of sensors is located; ω1, ω2, ω3, ω4 are weights;

[0017] C now is the latest collected temperature at the center of the mixed material pile; C0 is the initial collected temperature at the center of the mixed material pile; C tgt The target temperature for fermentation and maturity of the mixed material pile;

[0018] RH now RH is the latest collected humidity at the center of the mixed material pile; RH0 is the initial collected humidity at the center of the mixed material pile; RH tgt Target humidity for composting of mixed materials;

[0019] q now is the latest collected oxygen content in the center of the mixed pile; q0 is the initial collected oxygen content in the center of the mixed pile; q tgt Target oxygen content for composting;

[0020] SIMM(P0,P now ) is the similarity between the latest collected image data of the mixed material pile and the initially collected image data of the mixed material pile;

[0021] in, Table pair The analysis logic of the mixed pile fermentation and composting progress is applied before the pile shape of the mixed pile is determined first. When the pile shape is a cone pile, only F is obtained and F is used as the analysis result. When the pile shape is a long strip cone pile, after obtaining F, F is further obtained. Z , with F Z As the result of analysis.

[0022] Furthermore, the monitoring layer includes a monitoring module, a picking module, and a recording module. The monitoring module is used to capture the state parameters of the mixed material pile in real time. The picking module is used to receive the state parameters of the mixed material pile captured by the monitoring module in real time, pick up characteristic parameters from the state parameters of the mixed material pile, and mark the characteristic parameters. The recording module is used to receive the state parameters of the mixed material pile captured by the monitoring module, in which the picking module picks up characteristic parameters and marks them, and record the state parameters of the mixed material pile.

[0023] Among them, the mixed material pile state parameters captured by the monitoring module include: mixed material pile image data, mixed material pile center temperature, mixed material pile center humidity, mixed material pile oxygen content. When the picking module picks up the characteristic parameters in the mixed material pile state parameters, the mixed material pile image data is used as the picking target. When the recording module records the mixed material pile state parameters, the capture timestamp of the mixed material pile state parameters is synchronously obtained, and the recording operation is performed in the recording unit which is bound to the corresponding mixed material pile state parameters.

[0024] Furthermore, the monitoring module is integrated by a bracket, a camera, an electric telescopic rod and a sensor, the bracket is fixedly connected to the ground, the camera is installed on the bottom surface of the bracket through an electric slide rail, the electric telescopic rod is embedded in the ground, and a sensor is installed on the top of the electric telescopic rod. When the electric telescopic rod is fully retracted, the top surface of the sensor installed on the top of the electric telescopic rod is in the same plane as the ground;

[0025] The camera end of the camera and the center point of the top surface of each sensor are on the same straight line in a top-down perspective;

[0026] The mixed pile is in a cone shape or a long strip cone shape and is piled on the ground. The deployment position of the electric telescopic rod is always in the central area of ​​the mixed pile. The central area of ​​the mixed pile is the area after the bottom surface of the mixed pile is equidistantly reduced by two-thirds based on the center of the bottom surface.

[0027] Furthermore, an operation cycle is set in the monitoring module, and the monitoring module operates continuously based on the operation cycle, and the operation cycle of the monitoring module is 3 to 5 days;

[0028] When the picking module picks up the characteristic parameters from the mixed material pile state parameters, it complies with:

[0029]

[0030] Where: f(·) is the decision function; is the color feature vector of the pixel at the position (x, y) in the mixed material pile image data; is the characteristic pixel color feature vector; λ is a constant;

[0031] in, hour, hour, Each pixel in the mixed material pile image data is judged based on the above formula. When the judgment value is 1, The corresponding pixels are determined as feature pixels. After the feature pixels in the mixed material pile image data are determined, each feature pixel is further determined whether there are adjacent feature pixels. When there are no adjacent feature pixels, the feature pixels for which the determination is performed are discarded, and the remaining feature pixels and their respective adjacent feature pixels form a feature area. Each group of feature areas is the feature parameter picked up by the picking module.

[0032] Furthermore, the receiving module operates synchronously with the recording frequency of the mixed material pile state parameters based on the operation of the recording module, and always receives the latest mixed material pile state parameters recorded in the recording module;

[0033] After receiving the mixed stockpile state parameter, the receiving module synchronously monitors the operation state of the forwarding module, and when monitoring that the forwarding module is running to forward the analysis result, the receiving module again performs the reception or reception waiting of the mixed stockpile state parameter;

[0034] The time taken by the analysis module to analyze the fermentation and maturity progress of the mixed material pile and the forwarding module to forward the analysis results to the decision-making layer is always less than the operation cycle of the monitoring module.

[0035] Furthermore, the C tgt RH tgt and q tgt Manually set by the system end user;

[0036] The SIMM (P0, P now ) is obtained by the following formula:

[0037]

[0038] Where: s now is the total number of characteristic pixels in all characteristic areas in the latest collected image data of the mixed material pile; s0 is the total number of characteristic pixels in all characteristic areas in the initially collected image data of the mixed material pile; y(·) is the adjustment function;

[0039] The sum of the weights ω1, ω2, ω3, and ω4 is 1, and ω1, ω2, and ω3 obey ω1=ω3>ω2, and the sum of ω1, ω2, and ω3 is not less than 0.75;

[0040] in, Then y(·)=0, but Before collecting each set of mixed material pile image data, the mixed material pile is turned over at least once.

[0041] Furthermore, the decision layer includes a determination module, a visualization unit and a decision module. The determination module is used to set a completion determination threshold, receive the latest mixed material pile fermentation and maturity processing progress analyzed by the analysis layer, compare the mixed material pile fermentation and maturity processing progress with the set completion determination threshold, and determine whether the mixed material pile has completed fermentation and maturity. The visualization unit is used to synchronously obtain the mixed material pile fermentation and maturity processing progress received by it in the determination module, and generate a mixed material pile fermentation and maturity processing process change situation diagram based on the obtained mixed material pile fermentation and maturity processing progress. The decision module is used to receive the determination result in the determination module, and push the material pile when the determination result is that the fermentation and maturity of the mixed material pile has been completed;

[0042] The visualization unit is integrated with a display device with image display function. The mixed material pile fermentation and maturity process change situation diagram generated in the visualization unit has the horizontal axis representing time and the vertical axis representing F or FZ , and the mixed material pile fermentation and composting process change trend diagram is a line graph.

[0043] Furthermore, the pushing operation of the material pile in the decision module is to push the material pile position information to the visualization unit for display so as to be read by the system end user;

[0044] When the decision module pushes the pile, it determines that the mixed pile has been fermented and matured. Z The source sensor deployment position is determined, and the determined sensor deployment position is used as the stockpile position information to further perform the push operation.

[0045] Furthermore, the control terminal is interactively connected to a receiving module via a wireless network, the receiving module is interactively connected to an analysis module and a forwarding module via a wireless network, the receiving module is interactively connected to a recording module via a wireless network, the recording module is interactively connected to a picking module and a monitoring module via a wireless network, the forwarding module is interactively connected to a determination module via a wireless network, and the determination module is interactively connected to a visualization unit and a decision module via a wireless network.

[0046] Secondly, the biofertilizer preparation process based on the resource disposal of cyanobacteria mud includes the following steps:

[0047] Step 1: Deploy monitoring equipment for parameters of fermentation and maturity of cyanobacteria and algae mud mixture piles, and capture parameters of fermentation and maturity of mixture piles based on monitoring equipment;

[0048] Step 2: Losing characteristic parameters in the captured fermentation and maturity state parameters of the mixed material pile, and recording the captured fermentation and maturity state parameters of the mixed material pile;

[0049] Step 3: Obtain the recorded fermentation and maturity state parameters of the mixed material pile, and analyze the fermentation and maturity processing progress of the mixed material pile based on the fermentation and maturity state parameters of the mixed material pile;

[0050] Step 31: Setting stage of the analysis logic of the progress of mixed material pile fermentation and maturity treatment;

[0051] Step 4: Set the threshold for judging the completion of fermentation and maturity, and compare it with the fermentation and maturity progress of the mixed material pile in real time to determine whether the mixed material pile has completed fermentation and maturity;

[0052] Step 5: If the result of step 4 is yes, push the fermented and mature mixed material pile;

[0053] step6: If the judgment result of step4 is no, the execution jumps to the judgment stage of step4.

[0054] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0055] Beneficial effects:

[0056] The present invention provides a biofertilizer preparation system based on resource disposal of cyanobacteria mud. During operation, the system monitors the progress of the preparation process of cyanobacteria mud fermentation and maturity through comprehensive analysis of pile temperature, humidity, oxygen content and graphic data during the fermentation and maturity of cyanobacteria mud, so that the process of preparing biofertilizer based on cyanobacteria mud can be supervised in real time through the system, ensuring that the process of preparing biofertilizer from cyanobacteria mud is more stable, and the comprehensive efficiency and quality of preparing biofertilizer from cyanobacteria mud are better.

[0057] A biofertilizer preparation process based on the resource disposal of cyanobacteria mud is further provided. Through the execution of the steps in the process, further operation logic support is provided for the operation of the above-mentioned preparation system, ensuring that the technical scheme composed of the above-mentioned system and process can more effectively serve the fermentation and composting process in the preparation process of cyanobacteria mud biofertilizer. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0059] Figure 1 It is a structural schematic diagram of a biofertilizer preparation system based on the resource disposal of cyanobacteria mud;

[0060] Figure 2 It is a schematic diagram of the process of preparing biofertilizer based on the resource disposal of cyanobacteria mud;

[0061] Figure 3 This is a diagram showing the structure of the monitoring module of the system in the present invention;

[0062] Figure 4 This is an example diagram of the changing state of the mixed material pile fermentation and composting process in the present invention;

[0063] Figure 5 This is an example diagram of mixed material pile image data in the present invention;

[0064] The numbers in the figure represent: 1. ground; 2. bracket; 3. camera; 4. electric telescopic rod; 5. sensor. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0066] The present invention will be further described below in conjunction with the embodiments.

[0067] Embodiment 1:

[0068] The biofertilizer preparation system based on the resource disposal of cyanobacteria mud in this embodiment is as follows: Figure 1 As shown, it includes: control terminal, monitoring layer, analysis layer and decision-making layer;

[0069] The control terminal is the main control terminal of the system and is used to issue execution commands;

[0070] The state parameters of the mixed pile obtained by mixing the cyanobacteria mud with organic matter during the fermentation and composting stage are monitored and recorded in real time by the monitoring layer. The analysis layer synchronously receives the state parameters of the mixed pile monitored by the monitoring layer, and analyzes the fermentation and composting progress of the mixed pile based on the state parameters of the mixed pile. The decision layer receives the fermentation and composting progress of the mixed pile analyzed by the analysis layer in real time, and determines whether the mixed pile has completed the fermentation and composting process based on the monitoring of the fermentation and composting progress of the mixed pile, and further decides whether to push the pile based on the determination result;

[0071] The monitoring layer includes a monitoring module, a picking module, and a recording module. The monitoring module is used to capture the state parameters of the mixed material pile in real time. The picking module is used to receive the state parameters of the mixed material pile captured by the monitoring module in real time, pick up characteristic parameters from the state parameters of the mixed material pile, and mark the characteristic parameters. The recording module is used to receive the state parameters of the mixed material pile captured by the monitoring module, in which the picking module picks up characteristic parameters and marks them, and record the state parameters of the mixed material pile.

[0072] The mixed material pile state parameters captured by the monitoring module include: mixed material pile image data, mixed material pile center temperature, mixed material pile center humidity, and mixed material pile oxygen content. When the picking module picks up characteristic parameters in the mixed material pile state parameters, the mixed material pile image data is used as the picking target. When the recording module records the mixed material pile state parameters, the capture timestamp of the mixed material pile state parameters is synchronously obtained, and the recording operation is performed in the recording unit bound to the corresponding mixed material pile state parameters.

[0073] The analysis layer includes a receiving module, an analyzing module and a forwarding module. The receiving module is used to receive the mixed material pile state parameters recorded in the monitoring layer. The analyzing module is used to traverse the mixed material pile state parameters received by the receiving module and analyze the mixed material pile fermentation and maturity processing progress based on the mixed material pile state parameters. The forwarding module is used to receive the mixed material pile fermentation and maturity processing progress analyzed in the analysis module in real time and forward the mixed material pile fermentation and maturity processing progress analysis results to the decision layer.

[0074] The analysis logic of the mixed pile fermentation and composting progress in the analysis module is expressed as follows:

[0075]

[0076] Where: F is the fermentation and composting progress of the mixed material pile; F Z It is the fermentation and composting progress of the mixed material pile when the mixed material pile is in the shape of a long conical pile; N is the total amount of sensors; F i is the fermentation and composting progress of the mixed material pile where the i-th group of sensors is located; ω1, ω2, ω3, ω4 are weights;

[0077] C now is the latest collected temperature at the center of the mixed material pile; C0 is the initial collected temperature at the center of the mixed material pile; C tgt The target temperature for fermentation and maturity of the mixed material pile;

[0078] RH now RH is the latest collected humidity at the center of the mixed material pile; RH0 is the initial collected humidity at the center of the mixed material pile; RH tgt Target humidity for composting of mixed materials;

[0079] q now is the latest collected oxygen content in the center of the mixed pile; q0 is the initial collected oxygen content in the center of the mixed pile; q tg t is the target oxygen content of the mixed pile for fermentation and decomposition;

[0080] SIMM(P0,P now ) is the similarity between the latest collected image data of the mixed material pile and the initially collected image data of the mixed material pile;

[0081] in, Table pair The analysis logic of the mixed pile fermentation and composting progress is applied before the pile shape of the mixed pile is determined first. When the pile shape is a cone pile, only F is obtained and F is used as the analysis result. When the pile shape is a long strip cone pile, after obtaining F, F is further obtained. Z , with F Z As a result of the analysis;

[0082] The decision layer includes a judgment module, a visualization unit and a decision module. The judgment module is used to set a completion judgment threshold, receive the latest mixed material pile fermentation and maturity processing progress analyzed by the analysis layer, compare the mixed material pile fermentation and maturity processing progress with the set completion judgment threshold, and judge whether the mixed material pile has completed fermentation and maturity. The visualization unit is used to synchronously obtain the mixed material pile fermentation and maturity processing progress received by it in the judgment module, and generate a mixed material pile fermentation and maturity processing process change situation diagram based on the obtained mixed material pile fermentation and maturity processing progress. The decision module is used to receive the judgment result in the judgment module, and push the material pile when the judgment result is that the fermentation and maturity of the mixed material pile has been completed;

[0083] The visualization unit is integrated with a display device with image display function. The mixed material pile fermentation and maturity process change situation diagram generated in the visualization unit has the horizontal axis representing time and the vertical axis representing F or F Z , and the mixed material pile fermentation and composting process change trend diagram is a line graph;

[0084] The control terminal is interactively connected to a receiving module via a wireless network, the receiving module is interactively connected to an analysis module and a forwarding module via a wireless network, the receiving module is interactively connected to a recording module via a wireless network, the recording module is interactively connected to a picking module and a monitoring module via a wireless network, the forwarding module is interactively connected to a determination module via a wireless network, and the determination module is interactively connected to a visualization unit and a decision module via a wireless network.

[0085] In this embodiment, the control terminal controls the monitoring module to run in real time to capture the state parameters of the mixed material pile, the picking module is post-operated to receive the state parameters of the mixed material pile captured by the monitoring module in real time, picks up the characteristic parameters in the state parameters of the mixed material pile, and marks the characteristic parameters, the recording module further receives the state parameters of the mixed material pile captured by the monitoring module, in which the picking module picks up the characteristic parameters and marks the state parameters of the mixed material pile, records the state parameters of the mixed material pile, and then the receiving module receives the state parameters of the mixed material pile recorded in the monitoring layer, the analysis module synchronously traverses the state parameters of the mixed material pile received by the receiving module, analyzes the fermentation and maturity processing progress of the mixed material pile based on the state parameters of the mixed material pile, and the forwarding module receives the analysis module in real time. The mixed material pile fermentation and composting progress analyzed in the analysis layer is forwarded to the decision layer, and finally the completion judgment threshold is set through the judgment module, and the fermentation and composting progress of the mixed material pile analyzed by the analysis layer is received, and the fermentation and composting progress of the mixed material pile is compared with the set completion judgment threshold to determine whether the mixed material pile has completed fermentation and composting. The visualization unit synchronously obtains the fermentation and composting progress of the mixed material pile received in the judgment module, and generates a fermentation and composting process change situation diagram of the mixed material pile based on the obtained fermentation and composting progress of the mixed material pile. The decision module receives the judgment result in the judgment module, and pushes the material pile when the judgment result is that the fermentation and composting of the mixed material pile is completed.

[0086] Through the operation of the system in the above embodiment, an intelligent monitoring service is provided for the fermentation and composting process in the process of preparing bio-fertilizer from cyanobacteria mud, ensuring that the process of preparing bio-fertilizer from cyanobacteria mud is more reliable and stable.

[0087] See also Figure 2 As shown, based on the numbering in the figure, the deployment posture of the integrated components of the monitoring module is displayed;

[0088] It should be noted that the camera 3 slides horizontally on the bracket via an electric slide rail to collect images of the mixed material pile from a bird's-eye view;

[0089] See also Figure 4 As shown, based on the map mark (a) and the map mark (b) in the figure, the image data of the mixed material pile captured by the monitoring module are displayed respectively. The map (a) is the image data collected when the mixed material pile is in a conical pile shape, and the map (b) is the image data collected when the mixed material pile is in a conical strip cone pile shape. The missing parts filled with shadows in the figure are used to represent the feature area, that is, the feature parameters picked up by the picking module.

[0090] Embodiment 2:

[0091] In terms of specific implementation, based on Example 1, this example refers to Figure 1The biofertilizer preparation system based on the resource disposal of cyanobacteria mud in Example 1 is further described in detail:

[0092] The monitoring module is integrated with a bracket, a camera, an electric telescopic rod and a sensor. The bracket is fixedly connected to the ground, the camera is installed on the bottom surface of the bracket through an electric slide rail, the electric telescopic rod is embedded in the ground, and a sensor is installed on the top of the electric telescopic rod. When the electric telescopic rod is fully retracted, the top surface of the sensor installed on the top of the electric telescopic rod is in the same plane as the ground.

[0093] The camera end and the center point of the top surface of each sensor are on the same straight line from a top-down perspective;

[0094] The mixed pile is in a cone shape or a long strip cone shape and is piled on the ground. The deployment position of the electric telescopic rod is always in the center area of ​​the mixed pile. The center area of ​​the mixed pile is the area after the bottom surface of the mixed pile is equidistantly reduced by two-thirds based on the center of the bottom surface.

[0095] Through the above settings, the composition structure and operation logic of the monitoring module are further limited to ensure the stable operation of the monitoring module, capture the state parameters of the cyanobacteria and algae mud mixture pile, and provide necessary operation data support for the operation of subsequent modules in the system.

[0096] like Figure 1 As shown, an operation cycle is set in the monitoring module, and the monitoring module runs continuously based on the operation cycle. The operation cycle of the monitoring module is 3 to 5 days;

[0097] When the picking module picks up the characteristic parameters in the mixed material pile state parameters, it follows:

[0098]

[0099] Where: f(·) is the decision function; is the color feature vector of the pixel at the position (x, y) in the mixed material pile image data; is the characteristic pixel color feature vector; λ is a constant;

[0100] in, hour, hour, Each pixel in the mixed material pile image data is judged based on the above formula. When the judgment value is 1, The corresponding pixels are determined as feature pixels. After the feature pixels in the mixed material pile image data are determined, each feature pixel is further determined whether there are adjacent feature pixels. When there are no adjacent feature pixels, the feature pixels for which the determination is performed are discarded, and the remaining feature pixels and their respective adjacent feature pixels form a feature area. Each group of feature areas is the feature parameter picked up by the picking module.

[0101] Through the above settings, the picking logic of the picking module when picking up the characteristic parameters in the mixed material pile state parameters is further limited.

[0102] like Figure 1 As shown, the receiving module operates synchronously with the recording frequency of the mixed material pile state parameters based on the operation of the recording module, and always receives the latest mixed material pile state parameters recorded in the recording module;

[0103] After receiving the mixed material pile state parameters, the receiving module synchronously monitors the operation state of the forwarding module, and when monitoring that the forwarding module is running to forward the analysis result, it performs the reception or reception waiting of the mixed material pile state parameters again;

[0104] The time taken by the analysis module to analyze the fermentation progress of the mixed material pile and the forwarding module to forward the analysis results to the decision-making layer is always less than the operation cycle of the monitoring module;

[0105] C tgt RH tgt and q tgt Manually set by the system end user;

[0106] SIMM(P0,P now ) is obtained by the following formula:

[0107]

[0108] Where: s now is the total number of characteristic pixels in all characteristic areas in the latest collected image data of the mixed material pile; s0 is the total number of characteristic pixels in all characteristic areas in the initially collected image data of the mixed material pile; y(·) is the adjustment function;

[0109] The sum of weights ω1, ω2, ω3, and ω4 is 1, and ω1, ω2, and ω3 obey ω1=ω3>ω2, and the sum of ω1, ω2, and ω3 is not less than 0.75;

[0110] in, Then y(·)=0, but Before collecting each set of mixed material pile image data, the mixed material pile is turned over at least once.

[0111] Through the above settings, further operation logic support is provided for the operation of the system in Example 1, and the calculation logic of the similarity of the two groups of image data in Example 1 is further limited, so as to ensure the stable operation of the system in Example 1 and monitor the fermentation and maturity status of the cyanobacteria mud.

[0112] like Figure 1As shown, the push operation of the material pile in the decision module is to push the material pile position information to the visualization unit for display so that the system end user can read it;

[0113] When the decision module pushes the pile, it determines that the mixed pile has been fermented and matured. Z The source sensor deployment position is determined, and the determined sensor deployment position is used as the stockpile position information to further perform the push operation.

[0114] The above settings provide further operation logic support for the decision module of the system in Example 1.

[0115] Embodiment 3:

[0116] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The biofertilizer preparation system based on the resource disposal of cyanobacteria mud in Example 1 is further described in detail:

[0117] The biofertilizer preparation process based on the resource disposal of cyanobacteria mud includes the following steps:

[0118] Step 1: Deploy monitoring equipment for parameters of fermentation and maturity of cyanobacteria and algae mud mixture piles, and capture parameters of fermentation and maturity of mixture piles based on monitoring equipment;

[0119] Step 2: Losing characteristic parameters in the captured fermentation and maturity state parameters of the mixed material pile, and recording the captured fermentation and maturity state parameters of the mixed material pile;

[0120] Step 3: Obtain the recorded fermentation and maturity state parameters of the mixed material pile, and analyze the fermentation and maturity processing progress of the mixed material pile based on the fermentation and maturity state parameters of the mixed material pile;

[0121] Step 31: Setting stage of the analysis logic of the progress of mixed material pile fermentation and maturity treatment;

[0122] Step 4: Set the threshold for judging the completion of fermentation and maturity, and compare it with the fermentation and maturity progress of the mixed material pile in real time to determine whether the mixed material pile has completed fermentation and maturity;

[0123] Step 5: If the result of step 4 is yes, push the fermented and mature mixed material pile;

[0124] step6: If the judgment result of step4 is no, the execution jumps to the judgment stage of step4.

[0125] In summary, during the operation of the system in the above embodiment, the temperature, humidity, oxygen content and graphic data of the pile in the fermentation and decomposition process of the cyanobacteria mud are comprehensively analyzed to monitor the progress of the preparation process of the fermentation and decomposition of the cyanobacteria mud, so that the process of preparing bio-fertilizer based on cyanobacteria mud can be supervised in real time through the system, ensuring that the process of preparing bio-fertilizer from cyanobacteria mud is more stable, and the comprehensive efficiency and quality of preparing cyanobacteria mud bio-fertilizer are better, and further provides a bio-fertilizer preparation process based on the resource disposal of cyanobacteria mud. Through the execution of the steps in the process, further operation logic support is provided for the operation of the above preparation system, ensuring that the technical scheme composed of the above system and process more effectively serves the fermentation and decomposition process in the preparation process of cyanobacteria mud bio-fertilizer.

[0126] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A biofertilizer preparation system based on the resource disposal of cyanobacteria mud, characterized in that: include: Control terminal, monitoring layer, analysis layer and decision-making layer; The control terminal is the main control terminal of the system and is used to issue execution commands; The state parameters of the mixed pile obtained by mixing the cyanobacteria mud with organic matter during the fermentation and composting stage are monitored and recorded in real time by the monitoring layer. The analysis layer synchronously receives the state parameters of the mixed pile monitored by the monitoring layer, and analyzes the fermentation and composting progress of the mixed pile based on the state parameters of the mixed pile. The decision layer receives the fermentation and composting progress of the mixed pile analyzed by the analysis layer in real time, and determines whether the mixed pile has completed the fermentation and composting process based on the monitoring of the fermentation and composting progress of the mixed pile, and further decides whether to push the pile based on the determination result; The analysis layer includes a receiving module, an analyzing module and a forwarding module. The receiving module is used to receive the mixed material pile state parameters recorded in the monitoring layer. The analyzing module is used to traverse the mixed material pile state parameters received by the receiving module and analyze the mixed material pile fermentation and maturity processing progress based on the mixed material pile state parameters. The forwarding module is used to receive the mixed material pile fermentation and maturity processing progress analyzed in the analyzing module in real time and forward the mixed material pile fermentation and maturity processing progress analysis result to the decision layer. The analysis logic of the mixed pile fermentation and composting progress in the analysis module is expressed as follows: Where: F is the fermentation and composting progress of the mixed material pile; F Z It is the fermentation and composting progress of the mixed material pile when the mixed material pile is in the shape of a long conical pile; N is the total amount of sensors; F i is the fermentation and composting progress of the mixed material pile where the i-th group of sensors is located; ω1, ω2, ω3, ω4 are weights; C now is the latest collected temperature at the center of the mixed material pile; C0 is the initial collected temperature at the center of the mixed material pile; C tgt The target temperature for fermentation and maturity of the mixed material pile; RH now RH is the latest collected humidity at the center of the mixed material pile; RH0 is the initial collected humidity at the center of the mixed material pile; RH tgt Target humidity for fermentation and maturity of mixed material pile; q now is the latest collected oxygen content in the center of the mixed pile; q0 is the initial collected oxygen content in the center of the mixed pile; q tgt Target oxygen content for composting; SIMM(P0,P now ) is the similarity between the latest collected image data of the mixed material pile and the initially collected image data of the mixed material pile; in, Table pair Before applying the analysis logic of the mixed pile fermentation and composting progress, the pile shape of the mixed pile is determined first. When the pile shape is a cone pile, only F is obtained and F is used as the analysis result. When the stacking shape is a long conical pile, after obtaining F, further obtain F Z , with F Z As the result of analysis.

2. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 1 is characterized in that: The monitoring layer includes a monitoring module, a picking module, and a recording module. The monitoring module is used to capture the state parameters of the mixed material pile in real time. The picking module is used to receive the state parameters of the mixed material pile captured by the monitoring module in real time, pick up characteristic parameters from the state parameters of the mixed material pile, and mark the characteristic parameters. The recording module is used to receive the state parameters of the mixed material pile captured by the monitoring module, in which the picking module picks up characteristic parameters and marks them, and record the state parameters of the mixed material pile. Among them, the mixed material pile state parameters captured by the monitoring module include: mixed material pile image data, mixed material pile center temperature, mixed material pile center humidity, mixed material pile oxygen content. When the picking module picks up the characteristic parameters in the mixed material pile state parameters, the mixed material pile image data is used as the picking target. When the recording module records the mixed material pile state parameters, the capture timestamp of the mixed material pile state parameters is synchronously obtained, and the recording operation is performed in the recording unit which is bound to the corresponding mixed material pile state parameters.

3. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 2 is characterized in that: The monitoring module is integrated by a bracket, a camera, an electric telescopic rod and a sensor. The bracket is fixedly connected to the ground, the camera is installed on the bottom surface of the bracket through an electric slide rail, the electric telescopic rod is embedded in the ground, and a sensor is installed on the top of the electric telescopic rod. When the electric telescopic rod is fully retracted, the top surface of the sensor installed on the top of the electric telescopic rod is in the same plane as the ground; The camera end of the camera and the center point of the top surface of each sensor are on the same straight line in a top-down perspective; The mixed pile is in a cone shape or a long strip cone shape and is piled on the ground. The deployment position of the electric telescopic rod is always in the central area of ​​the mixed pile. The central area of ​​the mixed pile is the area after the bottom surface of the mixed pile is equidistantly reduced by two-thirds based on the center of the bottom surface.

4. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 2 is characterized in that: An operation cycle is set in the monitoring module, and the monitoring module runs continuously based on the operation cycle, and the operation cycle of the monitoring module is 3 to 5 days; When the picking module picks up the characteristic parameters from the mixed material pile state parameters, it complies with: Where: f(·) is the decision function; is the color feature vector of the pixel at the position (x, y) in the mixed material pile image data; is the characteristic pixel color feature vector; λ is a constant; in, hour, hour, Each pixel in the mixed material pile image data is judged based on the above formula. When the judgment value is 1, The corresponding pixels are determined as feature pixels. After the feature pixels in the mixed material pile image data are determined, each feature pixel is further determined whether there are adjacent feature pixels. When there are no adjacent feature pixels, the feature pixels for which the determination is performed are discarded, and the remaining feature pixels and their respective adjacent feature pixels form a feature area. Each group of feature areas is the feature parameter picked up by the picking module.

5. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 1 or 2, characterized in that: The receiving module operates synchronously with the recording frequency of the mixed material pile state parameters based on the operation of the recording module, and always receives the latest mixed material pile state parameters recorded in the recording module; After receiving the mixed material pile state parameter, the receiving module synchronously monitors the operation state of the forwarding module, and when monitoring that the forwarding module is running to forward the analysis result, it performs the reception or reception waiting of the mixed material pile state parameter again; The time taken by the analysis module to analyze the fermentation and maturity progress of the mixed material pile and the forwarding module to forward the analysis results to the decision-making layer is always less than the operation cycle of the monitoring module.

6. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 1 is characterized in that: The C tgt RH tgt and q tgt Manually set by the system end user; The SIMM (P0, P now ) is obtained by the following formula: Where: s now The total number of characteristic pixels in all characteristic areas of the latest collected image data of the mixed material pile; s0 is the total number of characteristic pixels in all characteristic areas of the initially collected mixed material pile image data; y(·) is the adjustment function; The sum of the weights ω1, ω2, ω3, and ω4 is 1, and ω1, ω2, and ω3 obey ω1=ω3>ω2, and the sum of ω1, ω2, and ω3 is not less than 0.75; in, Then y(·)=0, but Before collecting each set of mixed material pile image data, the mixed material pile is turned over at least once.

7. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 1 is characterized in that: The decision layer includes a determination module, a visualization unit and a decision module. The determination module is used to set a completion determination threshold, receive the latest mixed material pile fermentation and maturity processing progress analyzed by the analysis layer, compare the mixed material pile fermentation and maturity processing progress with the set completion determination threshold, and determine whether the mixed material pile has completed fermentation and maturity. The visualization unit is used to synchronously obtain the mixed material pile fermentation and maturity processing progress received by it in the determination module, and generate a mixed material pile fermentation and maturity processing process change situation diagram based on the obtained mixed material pile fermentation and maturity processing progress. The decision module is used to receive the determination result in the determination module, and push the material pile when the determination result is that the fermentation and maturity of the mixed material pile has been completed; The visualization unit is integrated with a display device with image display function. The mixed material pile fermentation and maturity process change situation diagram generated in the visualization unit has the horizontal axis representing time and the vertical axis representing F or F Z , and the mixed material pile fermentation and composting process change trend diagram is a line graph.

8. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 3 or 7, characterized in that: The pushing operation of the material pile in the decision module is to push the material pile position information to the visualization unit for display so that the system end user can read it; When the decision module pushes the pile, it determines that the mixed pile has been fermented and matured. Z The source sensor deployment position is determined, and the determined sensor deployment position is used as the stockpile position information to further perform the push operation.

9. The biofertilizer preparation system based on the resource disposal of cyanobacteria mud according to claim 1 is characterized in that: The control terminal is interactively connected to a receiving module via a wireless network, the receiving module is interactively connected to an analysis module and a forwarding module via a wireless network, the receiving module is interactively connected to a recording module via a wireless network, the recording module is interactively connected to a picking module and a monitoring module via a wireless network, the forwarding module is interactively connected to a determination module via a wireless network, and the determination module is interactively connected to a visualization unit and a decision module via a wireless network.

10. A biofertilizer preparation process based on the resource disposal of cyanobacteria and algae mud, the process is an implementation process of the biofertilizer preparation system based on the resource disposal of cyanobacteria and algae mud as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Deploy monitoring equipment for parameters of fermentation and maturity of cyanobacteria and algae mud mixture piles, and capture parameters of fermentation and maturity of mixture piles based on monitoring equipment; Step 2: Losing characteristic parameters in the captured fermentation and maturity state parameters of the mixed material pile, and recording the captured fermentation and maturity state parameters of the mixed material pile; Step 3: Obtain the recorded fermentation and maturity state parameters of the mixed material pile, and analyze the fermentation and maturity processing progress of the mixed material pile based on the fermentation and maturity state parameters of the mixed material pile; Step 31: Setting stage of the analysis logic of the progress of mixed material pile fermentation and maturity treatment; Step 4: Set the threshold for judging the completion of fermentation and maturity, and compare it with the fermentation and maturity progress of the mixed material pile in real time to determine whether the mixed material pile has completed fermentation and maturity; Step 5: If the result of step 4 is yes, push the fermented and mature mixed material pile; step6: If the judgment result of step4 is no, the execution jumps to the judgment stage of step4.

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