A blockchain-based fertilizer production process supervision and traceability system

Abstract

The present invention relates to the technical field of fertilizer production supervision, and specifically discloses a fertilizer production process supervision and traceability system based on blockchain, the system comprising: a supervision module and a traceability module; the supervision module comprises a sampling unit, a data recording unit, a data processing unit and a data analysis unit, the sampling unit is used to perform sampling on some batches of finished fertilizers among all batches of the day, by analyzing the quality qualification index of the sampled batches of finished fertilizers, and analyzing the discrete coefficient of the quality qualification index of the qualified batches of finished fertilizers, and finally combining the judgment results of the two groups of data, the quality of all batches of finished fertilizers on the day can be evaluated, there is no need to manually perform sampling on all batches of finished fertilizers, saving a lot of manpower and material resources, and can avoid the situation that manual fatigue and efficiency reduction occur when processing a large amount of data, thereby improving the efficiency of finished fertilizer quality detection.

Description

Technical Field

[0001] The present invention relates to the technical field of fertilizer production supervision, and specifically to a fertilizer production process supervision and traceability system based on blockchain. Background Art

[0002] Food production occupies an important position in the development of agricultural production. Fertilization not only improves soil fertility, but is also an important measure to increase crop yield per unit area. Chemical fertilizers have the characteristics of simple ingredients, high nutrient content, fast fertilizer effect and strong fertilizer effect. They are the most basic and important material input in agricultural production.

[0003] During the production process of fertilizers, a supervision and traceability system will be used to supervise the quality of finished fertilizers and realize the traceability of fertilizer quality. The process of supervising the quality of finished fertilizers is usually that staff members take samples of all batches of fertilizers and conduct physical and chemical tests on the sampled fertilizers to judge the quality of the finished fertilizers, thereby ensuring the quality of the finished fertilizers. After that, the traceability module traces the finished fertilizers and they can be distributed.

[0004] In the prior art, the quality supervision of finished fertilizers requires staff to sample and test all batches of fertilizers, and to check the test results one by one. This is too labor-intensive and requires a lot of time and human resources. In addition, when processing large amounts of data, manual labor is prone to fatigue and reduced efficiency, which leads to low efficiency in the detection of finished fertilizers. Summary of the invention

[0005] The purpose of this invention is to provide a fertilizer production process supervision and traceability system based on blockchain to solve the following technical problems:

[0006] How to improve the efficiency of finished fertilizer quality testing.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A fertilizer production process supervision and traceability system based on blockchain, the system comprising: a supervision module and a traceability module;

[0009] The supervision module includes a sampling unit, a data recording unit, a data processing unit and a data analysis unit, and the sampling unit is used to perform sampling inspection on some batches of finished fertilizers among all batches of the day;

[0010] The data recording unit is used to record the data information of the sampled fertilizer after physical and chemical testing;

[0011] The data processing unit is used to calculate the quality index of some batches of finished fertilizers and the discrete coefficient of the quality index of qualified batches of finished fertilizers by using an objective algorithm to obtain the information recorded by the data recording unit;

[0012] The data analysis unit is used to evaluate and judge the quality of all current batches of finished fertilizers by combining the quality qualification index of some batches of finished fertilizers with the discrete coefficient of the quality qualification index.

[0013] Furthermore, the processing process of the data processing unit includes:

[0014] By formula Calculate the quality index μ of the i-th batch of finished fertilizers in the partial batches i ;

[0015] Where i is any batch of finished fertilizer in some batches, ys i is the nutrient content of the finished fertilizer in the i-th batch, ys y is the preset nutrient content, ys 0 With ys i The standard value of wl i is the trace element content of the finished fertilizer in the i-th batch, wl y is the preset trace element content, wl 0 for wl i The standard value of f a (x) is the defined function. If (x)>0, then f a (x)=(x), if (x)<0, let f a (x) = 0, sf i is the moisture content of the finished fertilizer in the i-th batch, σ i is the environmental impact coefficient of the i-th batch of finished fertilizer, sf y is the preset water content, sf 0 For sf i The standard value of , x1 and x2 are the first weight coefficients.

[0016] Furthermore, the processing process of the data processing unit also includes:

[0017] By formula Calculate the environmental impact coefficient σ of the i-th batch of finished fertilizer i ;

[0018] Among them, wd is the current indoor temperature, wd y is the preset temperature, shd is the current indoor humidity, shd y is the preset humidity, sj iis the storage time of the i-th batch of finished fertilizer, sj 0 For sj i is the standard value of , and θ is the error influence coefficient, which is set based on empirical fitting.

[0019] Furthermore, the analysis process of the data analysis unit includes:

[0020] By comparing the quality index μ of all sampled batches of finished fertilizers i Respectively with the preset quality index threshold μ g Make a comparison;

[0021] If any μ i Greater than μ g , the system determines that the quality of the finished fertilizer of this batch is unqualified, and conducts random inspection on the remaining batches of finished fertilizer that have not been sampled;

[0022] If all μ i All less than μ g The system determines that the quality of the finished fertilizers currently sampled is qualified, and evaluates and judges the quality of all batches of finished fertilizers based on the discrete coefficient of the quality qualification index.

[0023] Furthermore, the processing process of the data processing unit also includes:

[0024] When all μ i All less than μ g hour;

[0025] By formula Calculate the discrete coefficient r of the quality index of all sampled batches of finished fertilizers;

[0026] Among them, n is the total number of sampled batches, For all μ i The average value of For all μ i The maximum value in For all μ i The minimum value in x It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of numerical values ​​on the coefficient of dispersion is obtained based on test data.

[0027] Furthermore, the analysis process of the data analysis unit also includes:

[0028] By comparing the discrete coefficient r of the quality index of all sampled batches of finished fertilizers with the preset discrete coefficient r g Make a comparison;

[0029] If r>r g, the system determines that the quality index of finished fertilizers of all sampled batches fluctuates greatly, indicating that the quality of different batches of finished fertilizers is unstable, and conducts sample inspections on the remaining batches of finished fertilizers that have not been sampled;

[0030] Otherwise, the system determines that the volatility of the quality qualification index of all sampled batches of finished fertilizers is low, indicating that the quality of different batches of finished fertilizers is stable and there is no need to conduct random inspections on the remaining unsampled batches of finished fertilizers.

[0031] Furthermore, the traceability module includes:

[0032] Product entry unit, used to enter the product ID, block, parent node and product information of different batches of finished fertilizers;

[0033] Origin entry unit, used to enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers;

[0034] Logistics input unit, used to input logistics information of different batches of finished fertilizers;

[0035] The seller input unit is used to input the seller information, sales information and agent information of different batches of finished fertilizers.

[0036] Furthermore, the use process of the traceability module includes:

[0037] S1: First, enter the product ID, block, parent node and product information of different batches of finished fertilizers through the product entry unit;

[0038] S2: Enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers through the origin entry unit;

[0039] S3: Enter the logistics information of different batches of finished fertilizers through the logistics entry unit;

[0040] S4: Enter the seller information, sales information and agent information of different batches of finished fertilizers through the seller input unit;

[0041] S5: All information is recorded in the blockchain through the traceability module for evidence storage, and a specific traceability code is generated, which is finally assigned to the QR code.

[0042] Beneficial effects of the present invention:

[0043] (1) The present invention analyzes the quality index of some batches of finished fertilizers sampled and the discrete coefficient of the quality index of qualified batches of finished fertilizers, and finally combines the judgment results of the two groups of data to evaluate the quality of all batches of finished fertilizers on the same day. It is not necessary to manually sample all batches of finished fertilizers, which saves a lot of manpower and material resources, and can avoid fatigue and reduced efficiency when processing a large amount of data, thereby improving the efficiency of finished fertilizer quality detection.

[0044] (2) The present invention obtains the environmental impact coefficient of the i-th batch of finished fertilizer by calculation, and the quality qualification index μ of the i-th batch of finished fertilizer in the partial batches is calculated. i When performing calculations, by combining the data, the actual moisture content of the i-th batch of finished fertilizers can be calculated to obtain the actual moisture content of the finished fertilizers, thereby avoiding the increase in moisture content of the finished fertilizers and a large deviation from the preset moisture content due to interference from the external environment and increased storage time, which affects the accuracy of the calculation results. It can also avoid errors in the subsequent judgment of whether the i-th batch of finished fertilizers is qualified, improve the accuracy and reliability of the judgment results, and thereby improve the efficiency of finished fertilizer quality testing.

[0045] (3) The present invention compares the discrete coefficient r of the quality qualification index of all sampled batches of finished fertilizers with the preset discrete coefficient r g By comparing the results, the quality stability of all sampled batches of finished fertilizers can be judged. When the quality stability is judged to be high, the system can infer that the overall quality of all batches of finished fertilizers is at a high level. Through such a setting, the efficiency of finished fertilizer quality inspection can be improved, and because no manual processing is required, it can avoid manual fatigue and reduced efficiency when processing large amounts of data, resulting in low inspection efficiency of finished fertilizers.

[0046] (4) The present invention utilizes the technical characteristics of blockchain such as anti-tampering and traceability to construct functions such as chain storage services for fertilizer business data and information query for fertilizer full-process traceability, thereby opening up the data flow of the entire chain of fertilizer production, circulation, and consumption, and realizing full-process management from warehouse management to transportation and marketing, thereby protecting consumer interests and fertilizer quality and safety, and further realizing fertilizer quality traceability and ensuring fertilizer quality and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention will be further described below in conjunction with the accompanying drawings.

[0048] Figure 1 This is a schematic diagram of a fertilizer production process supervision and traceability system based on blockchain in the present invention;

[0049] Figure 2It is a flow chart of the use process of the traceability module in the present invention; DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 As shown, in one embodiment, the present application provides a fertilizer production process supervision and traceability system based on blockchain, the system comprising: a supervision module and a traceability module;

[0052] The supervision module includes a sampling unit, a data recording unit, a data processing unit and a data analysis unit, and the sampling unit is used to perform sampling inspection on some batches of finished fertilizers among all batches of the day;

[0053] The data recording unit is used to record the data information of the sampled fertilizer after physical and chemical testing;

[0054] The data processing unit is used to calculate the quality index of some batches of finished fertilizers and the discrete coefficient of the quality index of qualified batches of finished fertilizers by using an objective algorithm to obtain the information recorded by the data recording unit;

[0055] The data analysis unit is used to evaluate and judge the quality of all current batches of finished fertilizers by combining the quality qualification index of some batches of finished fertilizers with the discrete coefficient of the quality qualification index;

[0056] Through the above technical scheme, the present embodiment sets a supervision module. After the production of fertilizers on the same day is completed, firstly, the sampling unit is used to sample some batches of finished fertilizers among all batches of the same day. The sampling method can be through the system sampling method, that is, a sample is taken at a certain interval, and then the data recording unit records the data information after the physical and chemical tests of the sampled fertilizers are completed, and the data processing unit calculates the quality index of some batches of finished fertilizers according to the data through an objective algorithm, and then the data analysis unit first analyzes the quality index of some batches of finished fertilizers, and judges the quality of the currently extracted finished fertilizers according to the analysis results, and when it is judged that the quality of all the extracted finished fertilizers is qualified, the discrete coefficient of the quality index of the qualified batch of finished fertilizers is calculated, and the discrete coefficient of the quality index of the qualified batch of finished fertilizers is analyzed, so as to judge the stability of the quality index of the finished fertilizers;

[0057] Through such settings, the system analyzes the quality qualification index of some batches of finished fertilizers sampled, and the discrete coefficient of the quality qualification index of qualified batches of finished fertilizers, and finally combines the judgment results of the two sets of data to evaluate the quality of all batches of finished fertilizers on that day. There is no need for manual sampling of all batches of finished fertilizers, which saves a lot of manpower and material resources, and can avoid manual fatigue and reduced efficiency when processing large amounts of data, thereby improving the efficiency of finished fertilizer quality inspection.

[0058] The processing process of the data processing unit includes:

[0059] By formula Calculate the quality index μ of the i-th batch of finished fertilizers in the partial batches i ;

[0060] Where i is any batch of finished fertilizer in some batches, ys i is the nutrient content of the finished fertilizer in the i-th batch, ys y is the preset nutrient content, ys 0 With ys i The standard value of wl can be selected and set according to the allowable error in the empirical data. i is the trace element content of the finished fertilizer in the i-th batch, wl y is the preset trace element content, wl 0 for wl i The standard value of f can be selected and set according to the allowable error in empirical data. a (x) is the defined function. If (x)>0, then f a (x)=(x), if (x)<0, let f a (x) = 0, sf i is the moisture content of the finished fertilizer in the i-th batch, σ i is the environmental impact coefficient of the i-th batch of finished fertilizer, sf y is the preset water content, sf 0 For sf i The standard value of , which can be selected and set according to the allowable error in the empirical data, x1 and x2 are the first weight coefficients, which can be set according to the empirical data fitting;

[0061] Through the above technical solution, this embodiment provides the quality index μ of the i-th batch of finished fertilizers in some batches: i , can be obtained by formula It is calculated that since the content of trace elements and nutrient elements in fertilizers will directly affect the fertility and nutrition of fertilizers, and the water content in fertilizers is related to the subsequent storage of fertilizers, when the nutrient element content and trace element content of the i-th batch of finished fertilizers are higher, and the water content is closer to the preset water content, the quality qualification index of the i-th batch of finished fertilizers is greater, indicating that the quality of the current finished fertilizers is better. On the contrary, when the nutrient element content and trace element content of the i-th batch of finished fertilizers are lower, and the water content is more different from the preset water content, the quality qualification index of the i-th batch of finished fertilizers is smaller, indicating that the quality of the current finished fertilizers is poor and may not meet the qualified standards.

[0062] Through such an arrangement, accurate data can be provided for the subsequent determination of whether the i-th batch of finished fertilizers is qualified, thereby improving the accuracy of the judgment results and further improving the efficiency of finished fertilizer quality testing.

[0063] The processing process of the data processing unit also includes:

[0064] By formula Calculate the environmental impact coefficient σ of the i-th batch of finished fertilizer i ;

[0065] Among them, wd is the current indoor temperature, wd y is the preset temperature, shd is the current indoor humidity, shd y is the preset humidity, sj i is the storage time of the i-th batch of finished fertilizer, sj 0 For sj i The standard value of , θ is the error influence coefficient, which is set according to empirical fitting;

[0066] Through the above technical solution, this embodiment provides the environmental impact coefficient σ of the i-th batch of finished fertilizers: i , can be obtained by formula It is calculated that, obviously, when the fertilizer is sampled, the higher the current indoor temperature and indoor humidity, and the longer the storage time of the i-th batch of finished fertilizers, the greater the environmental impact coefficient of the i-th batch of finished fertilizers, indicating that the water content of the finished fertilizers at this time has a large deviation from the actual water content during production. On the contrary, the lower the current indoor temperature and indoor humidity, and the shorter the storage time of the i-th batch of finished fertilizers, the smaller the environmental impact coefficient of the i-th batch of finished fertilizers, indicating that the water content of the finished fertilizers at this time has no large deviation from the actual water content during production.

[0067] The environmental impact coefficient of the i-th batch of finished fertilizer is obtained by calculation, and the quality index μ of the i-th batch of finished fertilizer in some batches is iWhen performing calculations, by combining the data, the actual moisture content of the i-th batch of finished fertilizers can be calculated to obtain the actual moisture content of the finished fertilizers, thereby avoiding the increase in moisture content of the finished fertilizers and a large deviation from the preset moisture content due to interference from the external environment and increased storage time, which affects the accuracy of the calculation results. It can also avoid errors in the subsequent judgment of whether the i-th batch of finished fertilizers is qualified, improve the accuracy and reliability of the judgment results, and thereby improve the efficiency of finished fertilizer quality testing.

[0068] The analysis process of the data analysis unit includes:

[0069] By comparing the quality index μ of all sampled batches of finished fertilizers i Respectively with the preset quality index threshold μ g Make a comparison;

[0070] If any μ i Greater than μ g , the system determines that the quality of the finished fertilizer of this batch is unqualified, and conducts random inspection on the remaining batches of finished fertilizer that have not been sampled;

[0071] If all μ i All less than μ g The system determines that the quality of the finished fertilizers in the current sampling part is qualified, and evaluates and judges the quality of all batches of finished fertilizers in combination with the discrete coefficient of the quality qualification index;

[0072] Through the above technical solution, this embodiment calculates the quality index μ of the finished fertilizer of all sampled batches. i Respectively with the preset quality index threshold μ g A comparison is carried out. According to the comparison result, an accurate judgment can be made on whether the quality of the finished fertilizers currently sampled is qualified, thereby conducting a preliminary test on the quality of the finished fertilizers. When it is judged that the quality of the sampled finished fertilizers is qualified, the quality of the finished fertilizers is evaluated and judged in combination with the discrete coefficient of the quality qualification index, thereby realizing the evaluation and judgment of the quality of all finished fertilizers and improving the efficiency of finished fertilizer quality testing.

[0073] The processing process of the data processing unit also includes:

[0074] When all μ i All less than μ g hour;

[0075] By formula Calculate the discrete coefficient r of the quality index of all sampled batches of finished fertilizers;

[0076] Among them, n is the total number of sampled batches, For all μ i The average value of For all μ i The maximum value in For all μ i The minimum value in x It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the coefficient of dispersion is obtained based on the test data;

[0077] Through the above technical solution, when all μ i All less than μ g This embodiment provides the discrete coefficient r of the quality index of finished fertilizers of all sampled batches, which can be calculated by the formula It is calculated that, through such a setting, the volatility of the quality qualification index of the finished fertilizers in all sampled batches can be judged according to the size of the discrete coefficient, thereby providing strong data support for the subsequent judgment of whether the quality of different batches of finished fertilizers is stable, thereby improving the efficiency of fertilizer quality detection.

[0078] The analysis process of the data analysis unit also includes:

[0079] By comparing the discrete coefficient r of the quality index of all sampled batches of finished fertilizers with the preset discrete coefficient r g Make a comparison;

[0080] If r>r g , the system determines that the quality index of finished fertilizers of all sampled batches fluctuates greatly, indicating that the quality of different batches of finished fertilizers is unstable, and conducts sample inspections on the remaining batches of finished fertilizers that have not been sampled;

[0081] Otherwise, the system determines that the volatility of the quality index of all sampled batches of finished fertilizers is low, indicating that the quality of different batches of finished fertilizers is stable, and there is no need to sample the remaining batches of finished fertilizers that have not been sampled;

[0082] Through the above technical solution, this embodiment compares the discrete coefficient r of the quality qualification index of all sampled batches of finished fertilizers with the preset discrete coefficient r g By comparing the results, the quality stability of all sampled batches of finished fertilizers can be judged. When the quality stability is judged to be high, the system can infer that the overall quality of all batches of finished fertilizers is at a high level. Through such a setting, the efficiency of finished fertilizer quality inspection can be improved, and because no manual processing is required, it can avoid manual fatigue and reduced efficiency when processing large amounts of data, resulting in low inspection efficiency of finished fertilizers.

[0083] See also Figure 1 As shown, the traceability module includes:

[0084] Product entry unit, used to enter the product ID, block, parent node and product information of different batches of finished fertilizers;

[0085] Origin entry unit, used to enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers;

[0086] Logistics input unit, used to input logistics information of different batches of finished fertilizers;

[0087] The seller input unit is used to input the seller information, sales information and agent information of different batches of finished fertilizers;

[0088] Through the above technical scheme, this embodiment provides a traceability module, which respectively enters the product ID, block, parent node and product information of different batches of finished fertilizers through the product entry unit; enters the production workshop, production raw materials and product qualification index of different batches of finished fertilizers through the origin entry unit; enters the logistics information of different batches of finished fertilizers through the logistics entry unit; and enters the seller information, sales information and agent information of different batches of finished fertilizers through the seller entry unit. The whole process information of fertilizer production, transportation and distribution can be stored, and recorded in the blockchain for evidence, thereby providing strong data support for subsequent traceability.

[0089] See also Figure 2 As shown, the use process of the traceability module includes:

[0090] S1: First, enter the product ID, block, parent node and product information of different batches of finished fertilizers through the product entry unit;

[0091] S2: Enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers through the origin entry unit;

[0092] S3: Enter the logistics information of different batches of finished fertilizers through the logistics entry unit;

[0093] S4: Enter the seller information, sales information and agent information of different batches of finished fertilizers through the seller input unit;

[0094] S5: All information is recorded in the blockchain through the traceability module for evidence storage, and a specific traceability code is generated, which is finally assigned to the QR code;

[0095] Through the above technical solution, when this embodiment is used, firstly, the product ID, block, parent node and product information of different batches of finished fertilizers are entered through the product entry unit, and then the production workshop, production raw materials and product qualification index of different batches of finished fertilizers are entered through the origin entry unit, and then the logistics information of different batches of finished fertilizers are entered through the logistics entry unit, and the seller information, sales information and agent information of different batches of finished fertilizers are entered through the seller entry unit, and finally all the information is recorded in the blockchain through the source module for evidence storage, and generated into a specific traceability code, and finally assigned to the QR code;

[0096] By utilizing the blockchain's tamper-proof and traceable technical features, we have built functions such as chain-based notarization services for fertilizer business data and information query for fertilizer traceability, opened up data flows throughout the entire chain of fertilizer production, circulation, and consumption, and achieved full-process management from warehouse management to transportation and marketing, thereby protecting consumer interests and fertilizer quality and safety, and thereby achieving fertilizer quality traceability and ensuring fertilizer quality and safety.

[0097] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A fertilizer production process supervision and traceability system based on blockchain, characterized in that: The system includes: a supervision module and a traceability module; The supervision module includes a sampling unit, a data recording unit, a data processing unit and a data analysis unit, and the sampling unit is used to perform sampling inspection on some batches of finished fertilizers among all batches of the day; The data recording unit is used to record the data information of the sampled fertilizer after physical and chemical testing; The data processing unit is used to calculate the quality index of some batches of finished fertilizers and the discrete coefficient of the quality index of qualified batches of finished fertilizers by using an objective algorithm to obtain the information recorded by the data recording unit; The data analysis unit is used to evaluate and judge the quality of all current batches of finished fertilizers by combining the quality qualification index of some batches of finished fertilizers with the discrete coefficient of the quality qualification index; The processing process of the data processing unit includes: Calculate the quality index μ of the i-th batch of finished fertilizers in the partial batches i ; Where i is any batch of finished fertilizer in some batches, ys i is the nutrient content of the finished fertilizer in the i-th batch, ys y is the preset nutrient element content, ys0 and ys i The standard value of wl i is the trace element content of the finished fertilizer in the i-th batch, wl y is the preset trace element content, wl0 is wl i The standard value, f a (x) is the defined function. If (x)>0, then f a (x)=(x), if (x)<0, let f a (x) = 0, sf i is the moisture content of the finished fertilizer in the i-th batch, σ i is the environmental impact coefficient of the i-th batch of finished fertilizer, sf y is the preset moisture content, sf0 is sf i The standard value of , x1 and x2 are the first weight coefficients.

2. According to claim 1, a fertilizer production process supervision and traceability system based on blockchain is characterized in that: The processing process of the data processing unit also includes: By formula Calculate the environmental impact coefficient σ of the i-th batch of finished fertilizer i ; Among them, wd is the current indoor temperature, wd y is the preset temperature, shd is the current indoor humidity, shd y is the preset humidity, sj i is the storage time of the finished fertilizer of the i-th batch, sj0 is sj i is the standard value of , and θ is the error influence coefficient, which is set based on empirical fitting.

3. According to claim 2, a fertilizer production process supervision and traceability system based on blockchain is characterized in that: The analysis process of the data analysis unit includes: By comparing the quality index μ of all sampled batches of finished fertilizers i Respectively with the preset quality index threshold μ g Make a comparison; If any μ i Greater than μ g , the system determines that the quality of the finished fertilizer of this batch is unqualified, and conducts random inspection on the remaining batches of finished fertilizer that have not been sampled; If all μ i All less than μ g The system determines that the quality of the finished fertilizers currently sampled is qualified, and evaluates and judges the quality of all batches of finished fertilizers based on the discrete coefficient of the quality qualification index.

4. According to claim 3, a fertilizer production process supervision and traceability system based on blockchain is characterized in that: The processing process of the data processing unit also includes: When all μ i All less than μ g hour; By formula Calculate the discrete coefficient r of the quality index of all sampled batches of finished fertilizers; Among them, n is the total number of sampled batches, For all μ i The average value of For all μ i The maximum value in For all μ i The minimum value in x It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of numerical values ​​on the coefficient of dispersion is obtained based on test data.

5. According to claim 4, a blockchain-based fertilizer production process supervision and traceability system is characterized in that: The analysis process of the data analysis unit also includes: By comparing the discrete coefficient r of the quality index of all sampled batches of finished fertilizers with the preset discrete coefficient r g Make a comparison; If r>r g , the system determines that the quality index of finished fertilizers of all sampled batches fluctuates greatly, indicating that the quality of different batches of finished fertilizers is unstable, and conducts sample inspections on the remaining batches of finished fertilizers that have not been sampled; Otherwise, the system determines that the volatility of the quality qualification index of all sampled batches of finished fertilizers is low, indicating that the quality of different batches of finished fertilizers is stable and there is no need to conduct random inspections on the remaining unsampled batches of finished fertilizers.

6. According to claim 1, a fertilizer production process supervision and traceability system based on blockchain is characterized in that: The traceability module includes: Product entry unit, used to enter the product ID, block, parent node and product information of different batches of finished fertilizers; Origin entry unit, used to enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers; Logistics input unit, used to input logistics information of different batches of finished fertilizers; The seller input unit is used to input the seller information, sales information and agent information of different batches of finished fertilizers.

7. A fertilizer production process supervision and traceability system based on blockchain according to claim 6, characterized in that: The use process of the traceability module includes: S1: First, enter the product ID, block, parent node and product information of different batches of finished fertilizers through the product entry unit; S2: Enter the production workshop, production raw materials and product qualification index of different batches of finished fertilizers through the origin entry unit; S3: Enter the logistics information of different batches of finished fertilizers through the logistics entry unit; S4: Enter the seller information, sales information and agent information of different batches of finished fertilizers through the seller input unit; S5: All information is recorded in the blockchain through the traceability module for evidence storage, and a specific traceability code is generated, which is finally assigned to the QR code.

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