A green fertilizer production control system for increasing rice yield

Abstract

The application discloses a green fertilizer production control system for improving rice yield, and relates to the technical field of fertilizer production.The auxiliary raw material is mixed with the main raw material, the size of the stack is confirmed, and the stack is fermented in several stacks;environmental data is controlled during fermentation, microbial inoculant types are inoculated, and the quality of fermentation is detected;when harmful substances exist, a treatment mode is selected for corresponding treatment.The application solves the problem of lack of flexibility in raw material mixing in the prior art, guarantees the sufficiency and richness of the raw material components after mixing, guarantees the quality of subsequent raw material fermentation and the use effect, effectively guarantees the temperature uniformity and ventilation uniformity of the stack during fermentation by confirming the size of the stack, guarantees the overall effect of stack fermentation, improves the fermentation efficiency of the fertilizer, provides a reference for subsequent raw material fermentation adjustment and optimization, and improves the efficiency of fertilizer production.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fertilizer production, in particular to a green fertilizer production control system for improving rice yield. BACKGROUND

[0002] Green fertilizer mainly refers to environment-friendly, non-polluting and comprehensive nutrition fertilizer for plants. The raw materials of green fertilizer include animal and plant residues such as crop straw, livestock and poultry manure, and green manure. The production control of green fertilizer can accurately control the production process of green fertilizer to meet the growth needs of rice and improve the yield.

[0003] The prior art such as the production method of the environment-friendly microbial fertilizer disclosed in CN112778065A collects poultry manure and rice husk from the farm, stirs and mixes them uniformly at a wet weight ratio of 20:1, adds 25% of the returned material for composting fermentation, inoculates the fermentation agent manually, takes an equal amount of sample from the sampling port of the fermentation tank to determine the fermentation rate, extracts the water-soluble organic carbon concentration of the water-soluble organic matter sample, and analyzes the ultraviolet-visible spectrum and fluorescence spectrum of the diluted water-soluble organic matter sample extracted at different stages. The fermented fertilizer is transferred to the dormancy tank for dormancy test, and the compost after dormancy is dried, sieved and granulated into granules, and finally packaged by a packaging machine.

[0004] The prior art such as the organic fertilizer fermentation quality evaluation method disclosed in CN116777309A includes the following steps: setting the evaluation index of the fermentation quality of the organic fertilizer; establishing the shape model of the ideal fermentation pile of the organic fertilizer raw material during composting; setting the data collection points of the fermentation pile; collecting the temperature a, PH value b and water-soluble organic matter parameter c during fermentation at the data collection points of the fermentation pile every time t since the start of fermentation; calculating the fermentation quality index Y1 during the fermentation process of the organic fertilizer; calculating the finished product quality index Y2 of the finished product; and comprehensively evaluating the fermentation quality of the organic fertilizer according to the finished product quality index Y2 and the fermentation quality index Y1. The present application can comprehensively evaluate the fermentation quality of the organic fertilizer from multiple dimensions and multiple indexes, and the evaluation result has high reliability, which provides a strong reference basis for improving the composting quality under different conditions.

[0005] For the above-mentioned scheme, at least the following disadvantages exist: 1. The components and properties of the raw materials have differences, and the organic matter components of the mixed raw materials composed after mixing different raw materials are different. In the above-mentioned scheme 1, only poultry manure and rice husk are mixed, and suitable auxiliary raw materials are not selected for mixing according to the properties of the main raw materials, so that the flexibility of raw material mixing cannot be improved, the sufficiency and richness of the raw material components after mixing cannot be guaranteed, the quality of the subsequent raw material fermentation and the effect of the use are affected, the growth needs of rice cannot be met, and the yield cannot be improved.

[0006] 2. During fermentation, the raw materials need to be piled into a pile of a certain size to ensure the temperature and ventilation of the pile. However, the above-mentioned Scheme 1 does not specifically disclose how to confirm the size of the pile, so it is impossible to effectively ensure the temperature uniformity and ventilation uniformity of the pile during fermentation, which reduces the overall effect of pile fermentation and cannot improve the fermentation efficiency of the fertilizer. At the same time, when analyzing the fermentation quality in the above-mentioned Scheme 2, there is a lack of detection and analysis of the temperature and ventilation uniformity of the pile, which cannot effectively understand the fermentation situation of the pile, nor can it provide data reference for subsequent raw material fermentation, which increases the difficulty of adjusting and optimizing fertilizer fermentation and affects the efficiency of fertilizer production.

[0007] 3. The raw materials may contain some harmful substances, but the above scheme lacks the detection and treatment of harmful substances in fertilizers, which will cause damage to the soil structure when the fertilizers are used subsequently, and interfere with the growth of rice, affecting the growth and yield of rice. Summary of the Invention

[0008] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a green fertilizer production control system for increasing rice yield.

[0009] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a green fertilizer production control system for improving rice yield, including: an initial mixing unit, used to obtain basic data of the main raw materials of the fertilizer, and obtain historical production records of the main raw materials, select auxiliary raw materials of the fertilizer and mixing and adding data of the auxiliary raw materials, and then mix the auxiliary raw materials with the main raw materials to obtain a mixed raw material.

[0010] The primary quality detection unit is used to detect the organic matter data of the mixed raw materials and determine whether the initial preparation quality of the mixed raw materials is qualified. If it is unqualified, it returns to the primary preparation unit. If it is qualified, the fermentation control unit is executed.

[0011] The fermentation control unit includes an environmental control module and a microbial control module.

[0012] The environmental control module is used to make the mixed raw materials into piles in the fermentation area, then obtain the piles, and confirm and control the environmental data of the fermentation area.

[0013] The microbial control module is used to obtain the organic matter data of the mixed raw materials, confirm the type of microbial agent to be inoculated and the fermentation stage, and monitor the fermentation stage of each pile. When the fermentation stage of each pile reaches the fermentation stage of the inoculated microbial agent type, the microbial agent is inoculated.

[0014] The secondary quality detection unit is used to detect the fermentation quality of each pile and select the piles that need to be processed secondary as target piles.

[0015] The fertilizer processing unit is used for obtaining harmful substance data of each target pile, confirming each processing mode of each target pile, and performing corresponding processing.

[0016] The green fertilizer production control system for improving rice yield has the advantages that: the system selects auxiliary raw materials for mixing according to the organic matter data of main raw materials, confirms the size of the pile, and ferments several piles, controls the environmental data during fermentation, inoculates microbial inoculant types, and detects the quality of fermentation. When harmful substances exist, the system selects a processing mode for corresponding processing. The system solves the problem of lack of flexibility in raw material mixing in the prior art, guarantees the sufficiency and richness of the composition of the mixed raw materials, guarantees the quality of subsequent raw material fermentation and the use effect, effectively guarantees the temperature uniformity and ventilation uniformity of the pile during fermentation by confirming the size of the pile, guarantees the overall effect of pile fermentation, improves the fermentation efficiency of the fertilizer, detects and analyzes the temperature and ventilation uniformity of the pile, effectively understands the pile fermentation condition, provides data reference for subsequent raw material fermentation, reduces the difficulty of fertilizer fermentation adjustment and optimization, improves the efficiency of fertilizer production, processes harmful substances, reduces the damage to the soil structure when using the fertilizer subsequently, reduces the interference with the growth of rice, meets the growth demand of rice, and improves the yield of rice. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only show some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0018] Figure 1 It is a schematic diagram of the system structure of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0020] Please refer to Figure 1 The green fertilizer production control system for improving rice yield, as shown in the figure, comprises: a primary allocation unit, a primary quality detection unit, a fermentation control unit, a secondary quality detection unit, and a fertilizer processing unit.

[0021] The initial blending unit is configured to obtain basic data of a main raw material of the fertilizer, obtain a historical production record of the main raw material, select a secondary raw material of the fertilizer and blending addition data of the secondary raw material, and then mix the secondary raw material with the main raw material to obtain a mixed raw material.

[0022] It should be noted that the main raw material is a raw material mainly used in the production of the fertilizer, and the main raw material is set by the production personnel or the raw material with the largest weight. For example, the raw materials for the production of the fertilizer in the warehouse include crop straw, livestock manure and animal bone meal, etc. The production personnel can set the main raw material in the green fertilizer production control system, or the green fertilizer production control system accesses the warehouse management system to automatically obtain the weights of the crop straw, livestock manure and animal bone meal, etc. and select the raw material with the largest weight as the main raw material, and the remaining raw materials are the secondary raw materials.

[0023] In the above, the basic data includes organic matter data and weight, wherein the organic matter data includes carbon content, nitrogen content and carbon-nitrogen ratio, etc. The green fertilizer production control system accesses the warehouse management system and then obtains the basic data of the main raw material from the warehouse management system.

[0024] In a specific embodiment, the selection of the secondary raw material of the fertilizer and the blending addition data of the secondary raw material is specifically as follows: the organic matter data and the weight are obtained from the basic data of the main raw material of the fertilizer, and the weight, the organic matter data, the expected organic matter data, the secondary raw material type, the secondary raw material organic matter data, the secondary raw material weight and the initial blending quality characteristic value corresponding to each production are obtained from the historical production record of the main raw material.

[0025] The expected organic matter data of the fertilizer is obtained from the rice planting center, the expected organic matter data is subtracted from the organic matter data of the main raw material to obtain the to-be-blended organic matter data, and the expected organic matter data corresponding to each production is subtracted from the organic matter data to obtain the to-be-blended organic matter data corresponding to each production.

[0026] The organic matter data, the weight and the to-be-blended organic matter data of the main raw material are compared with the organic matter data, the weight and the to-be-blended organic matter data corresponding to each production, and each production corresponding to the same organic matter data, weight and to-be-blended organic matter data is selected as each reference production.

[0027] The secondary raw material type, the secondary raw material organic matter data, the secondary raw material weight and the initial blending quality characteristic value corresponding to each reference production are extracted, and each organic matter data, each weight and each initial blending quality characteristic value corresponding to each secondary raw material type are counted.

[0028] The actual organic matter data of each secondary raw material type is obtained from the fertilizer management center, and then the blending priority value corresponding to each secondary raw material type is calculated, the secondary raw material type with the largest priority value is selected as the secondary raw material of the fertilizer, and the mode of each weight of the secondary raw material is selected as the blending addition data of the secondary raw material.

[0029] In the above, the calculation of the allocation priority value corresponding to each auxiliary raw material type is as follows: the actual organic matter data of each auxiliary raw material type is recorded as YG f , where f represents the number of each auxiliary raw material type, and f is a positive integer. The organic matter data, weight and initial adjustment quality characteristic values ​​corresponding to each auxiliary raw material type are removed from the maximum and minimum values ​​and then averaged to obtain the average organic matter data, average weight and average initial adjustment quality characteristic values ​​corresponding to each auxiliary raw material type, which are respectively recorded as YG′ f , GG′ f and ZG′ f .

[0030] The formula for calculating the allocation priority value is:

[0031] Where α f It represents the allocation priority value corresponding to the f-th auxiliary raw material type, e represents a natural constant, and r represents the number of auxiliary raw material types.

[0032] The organic matter data contained in raw materials collected at different times are different. Therefore, when mixing raw materials, it is necessary to adjust the type and weight of auxiliary raw materials according to the organic matter data to ensure that the organic matter data of the mixed fertilizer meets the standards, which is conducive to the growth and reproduction of microorganisms, improves the fermentation effect of raw materials, and ensures the quality of fertilizer.

[0033] The primary quality detection unit is used to detect the organic matter data of the mixed raw materials and determine whether the initial preparation quality of the mixed raw materials is qualified. If it is unqualified, it returns to the primary preparation unit. If it is qualified, the fermentation control unit is executed.

[0034] Among them, near-infrared spectroscopy can be used to detect the organic matter data of the mixed raw materials. The specific detection process has been disclosed on the Internet and will not be repeated here.

[0035] In a specific embodiment, whether the initial preparation quality of the mixed raw materials is qualified is judged by the following specific process: the organic matter data of the mixed raw materials is subtracted from the estimated organic matter data of the fertilizer obtained from the rice planting center, and then divided by the estimated organic matter data of the fertilizer obtained from the rice planting center to obtain the initial preparation quality characteristic value of the mixed raw materials. When the initial preparation quality characteristic value of the mixed raw materials is greater than 0, it indicates that the initial preparation quality of the mixed raw materials is qualified; otherwise, it indicates that the initial preparation quality of the mixed raw materials is unqualified.

[0036] It should be noted that the initial quality characteristic value of the mixed raw material is used as the initial quality characteristic value of the main raw material for this production and is stored in the historical production record of the main raw material.

[0037] The fermentation control unit includes an environmental control module and a microbial control module.

[0038] An environment control module is configured to make the mixed raw materials into each pile in the fermentation area, and then obtain each pile, confirm and control the environment data of the fermentation area.

[0039] In a specific embodiment, the process of making the mixed raw materials into each pile in the fermentation area is as follows: the type, weight, size, temperature maintenance characteristic value, air permeability characteristic value and fermentation quality characteristic value of the auxiliary raw material corresponding to each reference production are obtained from the historical production records of the main raw material; each reference production with the same type and weight of auxiliary raw material as the auxiliary raw material of the fertilizer and the same weight as the weight in the blending and adding data is taken as each target production.

[0040] The size, temperature maintenance characteristic value, air permeability characteristic value and fermentation quality characteristic value corresponding to each target production are extracted, and then the fermentation quality characteristic values corresponding to each target production are clustered to obtain each data group and the order of each data group. The fermentation quality characteristic values in the data group with the first order are obtained, and the target production corresponding to each fermentation quality characteristic value in each data group with the first order is extracted as each marked production. The temperature maintenance characteristic value and air permeability characteristic value corresponding to each marked production are obtained, and then the maximum value and the minimum value are removed respectively to obtain the mean value, thereby obtaining the reference temperature maintenance characteristic value and air permeability characteristic value, which are denoted as WB and TQ respectively.

[0041] The temperature maintenance characteristic value and air permeability characteristic value corresponding to each marked production are denoted as WB j and TQ j respectively, and the characteristic difference value δ corresponding to the jth marked production is obtained by using the analysis formula j . The size of the pile of the marked production with the minimum characteristic difference value is selected as the size of each pile, and then the mixed raw materials are made into each pile according to the size of the pile.

[0042] In another specific embodiment, the process of confirming and controlling the environment data of the fermentation area is as follows: the environment data corresponding to each marked production is obtained from the historical production records of the main raw material, the mode is selected from the environment data corresponding to each marked production as the environment data of the fermentation area, and the environment control equipment is controlled to control the environment data of the fermentation area.

[0043] The environment data includes temperature and pH value, etc. The environment control equipment includes temperature control equipment and acid-base adding device, and the temperature control equipment includes air conditioner, air heater and cooler, etc.

[0044] When the raw materials are fermented, it is necessary to make the pile body of suitable size to ensure the uniformity of the temperature and ventilation of the pile body, avoid the occurrence of cold or hot zones, and make the fermentation process more uniform and efficient. Uniform temperature and ventilation can accelerate the activity of microorganisms, thereby increasing the decomposition rate of the compost and shortening the composting time. In addition, uneven temperature and ventilation may cause the production of some harmful substances, such as ammonia and hydrogen sulfide, during the composting process, which not only affects the quality of the compost, but also pollutes the surrounding environment. Ensuring the uniformity of the temperature and ventilation in the compost pile helps to reduce the generation of harmful substances.

[0045] The microbial control module is used to obtain the organic data of the mixed raw materials, confirm the type of the inoculated microbial inoculant and the fermentation stage, and monitor the fermentation stage of each pile body. When the fermentation stage of each pile body reaches the fermentation stage of the type of the inoculated microbial inoculant, the inoculation of the microbial inoculant is carried out.

[0046] The type of the microbial inoculant includes Bacillus and yeast, etc. The fermentation stage of the mixed raw materials includes the temperature rising stage, the high temperature stage and the temperature decreasing and maturation stage, the functions of different fermentation stages are specifically disclosed in the prior art, and will not be repeated here.

[0047] In a specific embodiment, the specific process of the microbial control module is as follows: the microbial data and the organic data of the mixed raw materials are collected, and the corresponding microbial data, the organic data, the microbial inoculant, the microbial inoculant inoculation amount and the inoculation stage of each labeled production are obtained from the microbial inoculant inoculation record of the main raw materials.

[0048] It should be noted that the microbial data includes the content of each microbial inoculant, and the organic data includes the cellulose content and the lignin content, etc. The microbial data of the mixed raw materials can be collected using a microbial counter, and the organic data can be collected using a near-infrared spectrometer.

[0049] The inoculation stage represents the fermentation stage of the inoculation of the microbial inoculant.

[0050] The same labeled production as the microbial data and the organic data of the mixed raw materials is selected as each screening production, and the corresponding microbial inoculant, microbial inoculant inoculation amount and inoculation stage of each screening production are extracted. The microbial inoculant with the largest number of microbial inoculants in each screening production is selected as the type of the inoculated microbial inoculant, and the microbial inoculant inoculation amount and the inoculation stage of each screening production corresponding to the type of the inoculated microbial inoculant are obtained. The microbial inoculant inoculation amount with the largest number and the inoculation stage with the largest number are selected as the microbial inoculant inoculation amount and the fermentation stage of the type of the inoculated microbial inoculant.

[0051] The temperature sensor is arranged in each pile to collect the fermentation temperature of each pile, and the fermentation temperature of each pile is compared with the temperature of each fermentation stage in the environmental data of the fermentation area to obtain the fermentation stage of each pile.

[0052] When the fermentation temperature of a certain pile is the same as the temperature of a certain fermentation stage, the fermentation stage is the fermentation stage of the pile, and the fermentation stage of each pile is obtained in this way.

[0053] The secondary quality detection unit is used to detect the fermentation quality of each pile and select each target pile that needs secondary treatment.

[0054] In a specific embodiment, the fermentation quality of each pile is detected in the following specific process: during fermentation, a plurality of collection time points are arranged in each pile according to a preset time interval, and a temperature sensor is used to collect the temperature of each collection point in each pile at each collection time point, and a plug-in air permeameter is used to collect the air permeability of each collection point in each pile at each collection time point, to obtain the temperature and air permeability of each collection point in each pile at each collection time point, and then calculate the temperature retention characteristic value and air permeability characteristic value of each pile, respectively marked as WB c and TQ c , c represents the number of each pile, and c is a positive integer.

[0055] The preset time interval is set by the fertilizer production personnel, which can be 10 minutes or 20 minutes.

[0056] In the above, the calculation process of the temperature retention characteristic value and the air permeability characteristic value of each pile is as follows: the temperature and air permeability of each collection point in each pile at each collection time point are calculated by difference to obtain each temperature difference and each air permeability difference of each pile at each collection time point, respectively marked as RT cit and RQ ci′t , wherein i represents the number of each temperature difference, i' represents the number of each air permeability difference, t represents the number of each collection time, and i, i' and t are all positive integers, and then substituted into the calculation formula and , to obtain the temperature retention characteristic value WB c and the air permeability characteristic value TQ c of the cth pile, q represents the number of temperature differences, p represents the number of collection time points, q' represents the number of air permeability differences, and ΔRT and ΔRQ are the set temperature difference threshold and air permeability difference threshold, respectively.

[0057] It should be noted that the temperature difference threshold and the air permeability difference threshold are critical values for judging whether the temperature difference and the air permeability difference are qualified, and are set by the fertilizer production personnel. When the temperature difference in the pile is greater than the temperature difference threshold, it indicates that the temperature in the pile is uneven and unqualified. Similarly, when the air permeability difference in the pile is greater than the air permeability difference threshold, it indicates that the air permeability in the pile is uneven and unqualified. For example, the temperature difference threshold is 3℃, and the temperature difference in the pile is 5℃. 5℃>3℃, indicating that the temperature in the pile is uneven and unqualified.

[0058] After the fermentation is completed, the nutrient data and harmful substance data of each pile are collected, and then the material characteristic value of each pile is calculated, denoted as WZ c .

[0059] Among them, the nutrient data includes the content of each nutrient substance, and the nutrient substance includes potassium content and calcium content, etc. The harmful substance data includes the content of each harmful substance type, and the harmful substance includes mercury content and lead content, etc. The nutrient data and harmful substance data can be collected using a spectrometer.

[0060] In a specific embodiment, the material characteristic value calculation process of each pile is as follows: the nutrient data and harmful substance data of each pile are normalized, and the processed values are denoted as YF c and YH c , respectively, and substituted into the calculation formula: , to obtain the material characteristic value WZ c of the cth pile.

[0061] The fermentation quality characteristic value of each pile is: FZ c , which represents the fermentation quality characteristic value of the cth pile.

[0062] The minimum fermentation quality characteristic value is selected from the fermentation quality characteristic values in the data set in the first order as the reference fermentation quality characteristic value threshold, denoted as FZ.

[0063] When FZ c ≥ FZ, it indicates that the fermentation quality of the cth pile is qualified; when FZ c < FZ, it indicates that the fermentation quality of the cth pile is unqualified.

[0064] It should be noted that the temperature preservation characteristic value, air permeability characteristic value and fermentation quality characteristic value of each pile are calculated by mean value, and the calculation results are used as the temperature preservation characteristic value, air permeability characteristic value and fermentation quality characteristic value of the main raw material in this production, and are stored in the historical production record of the main raw material.

[0065] In another specific embodiment, the piles that need secondary treatment are screened out as target piles, and the specific process is as follows: when the harmful substance data of a pile is greater than the preset harmful substance data threshold, the pile is a target pile that needs secondary treatment, and thus the target piles are obtained.

[0066] The preset harmful substance data threshold is set in the same way as the temperature difference threshold and the air permeability difference threshold, and thus is not described herein.

[0067] The fertilizer treatment unit is configured to obtain the harmful substance data of the target piles, determine the treatment modes of the target piles, and perform corresponding treatment.

[0068] In one specific embodiment, the determination of the treatment modes of the target piles is performed in the following way: the types of harmful substances are obtained from the harmful substance data of the target piles, the sets of treatable harmful substances corresponding to the remediation substances in the treatment modes are obtained from the fertilizer production management center, when the type of a harmful substance in the harmful substance data of a target pile is the same as the type of a harmful substance in the set of treatable harmful substances corresponding to a remediation substance in a treatment mode, the treatment mode is determined as the treatment mode of the target pile, and the remediation substance is determined as the remediation substance of the target pile, and thus the treatment modes and the remediation substances of the target piles are determined, and the order of the treatment modes in the target piles is determined.

[0069] It should be noted that the treatment modes include physical, chemical, and biological modes, the remediation substances in the physical mode include activated carbon and bentonite, the remediation substances in the chemical mode include lime and calcium carbonate, and the remediation substances in the biological mode include bacteria and fungi.

[0070] Preferably, the order of the treatment modes in the target piles is determined in the following way: the contents of the types of harmful substances are obtained from the harmful substance data of the target piles, and the unit treatment amounts of the remediation substances corresponding to the types of harmful substances in the treatment modes corresponding to the target piles are obtained from the fertilizer production management center, thus the contents of the remediation substances in the treatment modes corresponding to the target piles are obtained, and the total contents of the remediation substances in the treatment modes corresponding to the target piles are obtained by accumulation.

[0071] It should be noted that the unit treatment amount represents the content of the remediation substance required for treating a unit content of the type of harmful substance.

[0072] The content of each target heap corresponding to each treatment method of each repair material for processing each harmful substance type is extracted, and the total content of each target heap corresponding to each treatment method is accumulated to obtain the total content of each target heap corresponding to each treatment method. At the same time, the new substance generation data of each target heap corresponding to each treatment method of each repair material is obtained from the repair record, and the total new substance generation data of each target heap corresponding to each treatment method is accumulated. Then, the priority value of each target heap corresponding to each treatment method is calculated, and the order of each treatment method in each target heap is obtained in descending order of the priority value.

[0073] In the above, the total content of repair material, total content of treatment and total new substance generation data of each target heap corresponding to each treatment method are normalized, and then the processed values are respectively recorded as b1 vr , b2 vr and b3 vr , v represents the number of each target heap, r represents the number of each treatment method, v and r are positive integers, and the priority value b vr of the vth target heap corresponding to the rth treatment method is obtained according to the calculation formula .

[0074] It should be noted that the spectrometer is used to collect harmful substance data before and after the heap is treated by using the treatment method, and the harmful substance data after treatment is compared with the harmful substance data before treatment. The data that exist after treatment and do not exist before treatment are new substance generation data.

[0075] First, the treatment method that will not produce new substances is used for treatment, which can reduce the harmful substances in the heap, reduce the difficulty of subsequent treatment of the treatment method that will produce new substances, and improve the effect and efficiency of the treatment.

[0076] The embodiment of the present application first selects auxiliary raw materials according to the organic matter data of the main raw materials, mixes them, then confirms the size of the pile, piles up several piles for fermentation, controls the environmental data during fermentation, inoculates microbial inoculant types, and detects the quality of fermentation, when there are harmful substances, selects the processing mode for corresponding processing, the present application solves the problem of lack of flexibility of raw material mixing in the prior art, at the same time guarantees the sufficiency and richness of the components of the mixed raw materials, guarantees the quality of the subsequent raw material fermentation and the effect of use, by confirming the size of the pile, effectively guarantees the uniformity of the temperature and ventilation of the pile during fermentation, guarantees the overall effect of the pile fermentation, improves the fermentation efficiency of the fertilizer, at the same time, the uniformity of the temperature and ventilation of the pile is detected and analyzed, effectively understands the fermentation condition of the pile, provides data reference for the subsequent raw material fermentation, reduces the difficulty of fertilizer fermentation adjustment and optimization, improves the efficiency of fertilizer production, processes the harmful substances, reduces the damage to the soil structure when using the fertilizer subsequently, reduces the interference to the growth of rice, meets the growth demand of rice, and improves the yield of rice.

[0077] The above is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the present application or exceed the scope defined in the specification, which shall belong to the protection scope of the present application.

Claims

1. A green fertilizer production control system for increasing yield of rice, characterized by, The application relates to a fertilizer production method and device. The primary blending unit is used for obtaining basic data of main raw materials of fertilizers, obtaining historical production records of the main raw materials, selecting auxiliary raw materials of the fertilizers and blending and adding data of the auxiliary raw materials, and then mixing the auxiliary raw materials with the main raw materials to obtain mixed raw materials; The primary quality detection unit is used for detecting organic matter data of the mixed raw materials, judging whether the primary blending quality of the mixed raw materials is qualified or not, returning to the primary blending unit if the primary blending quality is not qualified, and executing the fermentation control unit if the primary blending quality is qualified; The fermentation control unit comprises an environment control module and a microorganism control module; The environment control module is used for making the mixed raw materials into each pile in a fermentation area, obtaining each pile, and confirming and controlling environment data of the fermentation area; The microorganism control module is used for obtaining organic matter data of the mixed raw materials, confirming types of inoculated microorganism inoculants and fermentation stages, and simultaneously monitoring fermentation stages of each pile, and inoculating the microorganism inoculants when the fermentation stages of each pile reach the fermentation stages of the types of the inoculated microorganism inoculants; The secondary quality detection unit is used for detecting fermentation quality of each pile, and screening each pile needing secondary treatment as each target pile; The fertilizer treatment unit is used for obtaining harmful substance data of each target pile, confirming each treatment mode of each target pile, and performing corresponding treatment; The specific process of selecting the auxiliary raw materials of the fertilizers and the blending and adding data of the auxiliary raw materials is as follows: Organic matter data and weight are obtained from the basic data of the main raw materials of the fertilizers, weight, organic matter data, expected organic matter data, auxiliary raw material types, auxiliary raw material organic matter data, auxiliary raw material weight and initial blending quality characteristic values corresponding to each production are obtained from the historical production records of the main raw materials; Expected organic matter data of the fertilizers is obtained from a rice planting center, the expected organic matter data is subtracted from the organic matter data of the main raw materials to obtain to-be-blended organic matter data, and the expected organic matter data corresponding to each production is subtracted from the organic matter data to obtain to-be-blended organic matter data corresponding to each production; The organic matter data, weight and to-be-blended organic matter data of the main raw materials are compared with the organic matter data, weight and to-be-blended organic matter data corresponding to each production, and each production corresponding to the same organic matter data, weight and to-be-blended organic matter data is selected as each reference production; Auxiliary raw material types, auxiliary raw material organic matter data, auxiliary raw material weight and initial blending quality characteristic values corresponding to each reference production are extracted, and each organic matter data, each weight and each initial blending quality characteristic value corresponding to each auxiliary raw material type is counted; Actual organic matter data of each auxiliary raw material type is obtained from a fertilizer management center, then blending priority values corresponding to each auxiliary raw material type are calculated, the auxiliary raw material type with the largest priority value is selected as the auxiliary raw material of the fertilizers, and the mode value of each weight of the auxiliary raw material is selected as the blending and adding data of the auxiliary raw material.

2. The green fertilizer production control system for increasing yield of rice according to claim 1, wherein The specific process of calculating the blending priority values corresponding to each auxiliary raw material type is as follows: YG f , where f represents the number of each auxiliary raw material type, f is a positive integer, the average of each organic matter data, the average weight and the average initial adjustment mass characteristic value corresponding to each auxiliary raw material type are obtained by removing the maximum value and the minimum value of each organic matter data, each weight and each initial adjustment mass characteristic value corresponding to each auxiliary raw material type, and then performing average value calculation, and are respectively recorded as YG′ f , GG′ f and ZG′ f ; The blending priority value calculation formula is as follows: wherein α f represents the blending priority value corresponding to the fth auxiliary raw material type, e represents a natural constant, and r represents the number of auxiliary raw material types.

3. The green fertilizer production control system for increasing yield of rice according to claim 1, wherein The specific process of making the mixed raw materials into each pile in the fermentation area is as follows: Obtain the auxiliary raw material type, auxiliary raw material weight, pile size, temperature preservation characteristic value, air permeability characteristic value and fermentation quality characteristic value corresponding to each reference production from the historical production records of the main raw material; take each reference production with the same auxiliary raw material type and the same auxiliary raw material weight as the target production; Extract the pile size, temperature preservation characteristic value, air permeability characteristic value and fermentation quality characteristic value corresponding to each target production, then cluster the fermentation quality characteristic values corresponding to each target production to obtain each data group and the order of each data group, obtain each fermentation quality characteristic value in the data group with the first order, and extract the target production corresponding to each fermentation quality characteristic value in each data group with the first order as the marked production, obtain the temperature preservation characteristic value and air permeability characteristic value corresponding to each marked production, then remove the maximum value and minimum value respectively and perform mean value calculation to obtain the reference temperature preservation characteristic value and air permeability characteristic value, denoted as WB and TQ respectively. The corresponding temperature preservation characteristic value and the air permeability characteristic value of each marking production are respectively denoted as WB j and TQ j , the characteristic difference value δ of the jth marking production is obtained by using the analysis formula j The size of the stack of the marking production with the minimum characteristic difference value is selected as the size of each stack, and then the mixed raw materials are made into each stack according to the stack size.

4. The green fertilizer production control system for increasing yield of rice according to claim 3, wherein The specific process of confirming and controlling the environmental data of the fermentation area is as follows: obtain the environmental data corresponding to each marked production from the historical production records of the main raw material, select the mode number from the environmental data corresponding to each marked production as the environmental data of the fermentation area, and control the environmental control equipment to control the environmental data of the fermentation area.

5. The green fertilizer production control system for increasing yield of rice according to claim 3, wherein The specific process of the microbial control module is as follows: Collect the microbial data and organic matter data of the mixed raw material, and obtain the microbial data, organic matter data, microbial inoculant, microbial inoculant amount and inoculation stage corresponding to each marked production from the microbial inoculant inoculation records of the main raw material; Select each marked production with the same microbial data and organic matter data of the mixed raw material as the screening production, extract the microbial inoculant, microbial inoculant amount and inoculation stage corresponding to each screening production, select the microbial inoculant with the largest number of microbial inoculants in each screening production as the inoculated microbial inoculant type, and obtain the microbial inoculant amount and inoculation stage of each screening production corresponding to the inoculated microbial inoculant type, and select the microbial inoculant amount and inoculation stage with the largest number of microbial inoculants and the largest number of inoculation stages as the microbial inoculant amount and fermentation stage of the inoculated microbial inoculant type; Lay temperature sensors in each pile to collect the fermentation temperature of each pile, and compare it with the temperature of each fermentation stage in the environmental data of the fermentation area to obtain the fermentation stage of each pile, and inoculate the microbial inoculant when the fermentation stage of each pile is the same as the fermentation stage of the inoculated microbial inoculant type.

6. The green fertilizer production control system for increasing yield of rice according to claim 3, wherein The specific process of detecting the fermentation quality of each pile is as follows: At the time of fermentation, each collection time is arranged according to a preset time interval, a plurality of collection points are arranged in each stack, a temperature sensor is used to collect the temperature of each collection point in each stack at each collection time, a plug-in air permeameter is used to collect the air permeability of each collection point in each stack at each collection time, the temperature and air permeability of each collection point in each stack at each collection time are obtained, and the temperature retention characteristic value and the air permeability characteristic value of each stack are calculated, which are respectively marked as WB c and TQ c , c represents the number of each stack, and c is a positive integer; After the fermentation is completed, the nutrient data and harmful substance data of each pile are collected, and then the material characteristic value of each pile is calculated, denoted as WZ c ; fermentation quality characteristic value of each heap: FZ c denotes the fermentation quality characteristic value of the cth heap; Select the minimum fermentation quality characteristic value from each fermentation quality characteristic value in the data group with the first order as the reference fermentation quality characteristic value threshold, denoted as FZ; When FZ c ≥ FZ, indicating that the fermentation quality of the cth pile is qualified; when FZ c < FZ, indicating that the fermentation quality of the cth pile is unqualified.

7. The green fertilizer production control system for increasing yield of rice according to claim 6, wherein The calculation process of the temperature preservation characteristic value and air permeability characteristic value of each pile is as follows: The temperature and air permeability of each collection point in each stack at each collection time are differentially calculated to obtain each temperature difference and each air permeability difference of each stack at each collection time, respectively denoted as RT cit and RQ ci′t , wherein i represents the number of each temperature difference, i' represents the number of each air permeability difference, t represents the number of each collection time, i, i' and t are all positive integers, and then substituted into the calculation formula and to obtain the temperature retention characteristic value WB c and the air permeability characteristic value TQ c of the cthstack, q represents the number of temperature differences, p represents the number of collection times, q' represents the number of air permeability differences, and ΔRT and ΔRQ are respectively set temperature difference threshold and air permeability difference threshold.

8. The green fertilizer production control system for increasing yield of rice according to claim 1, wherein, The specific process of confirming the processing mode of each target pile is as follows: The harmful substance type is obtained from the harmful substance data of each target heap, and the set of treatable harmful substances corresponding to each remediation substance in each treatment mode is obtained from the fertilizer production management center. When the harmful substance type in the harmful substance data of a target heap is the same as the harmful substance type in the set of treatable harmful substances corresponding to a remediation substance in a treatment mode, the treatment mode is taken as the treatment mode of the target heap, and the remediation substance is taken as the remediation substance of the target heap. The treatment mode and the remediation substance of each target heap are confirmed in this way, and then the order of the treatment mode in each target heap is confirmed.

9. The green fertilizer production control system for increasing yield of rice according to claim 8, wherein, The order of the treatment mode in each target heap is confirmed in the following specific process: The content of each harmful substance type is obtained from the harmful substance data of each target heap, and the unit treatment amount of each harmful substance type treated by each remediation substance in each treatment mode corresponding to each target heap is obtained from the fertilizer production management center. In this way, the required content of each remediation substance in each treatment mode corresponding to each target heap is obtained, and the total content of the remediation substance in each treatment mode corresponding to each target heap is accumulated; The content of each harmful substance type treated by each remediation substance in each treatment mode corresponding to each target heap is extracted, and the total content to be treated in each treatment mode corresponding to each target heap is accumulated. At the same time, the new substance generation data of each remediation substance in each treatment mode corresponding to each target heap is obtained from the remediation record, and the total new substance generation data of each treatment mode corresponding to each target heap is accumulated. Then, the priority value of each treatment mode corresponding to each target heap is calculated, and the order of the treatment mode in each target heap is obtained in descending order of the priority value.

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