Colorless tea drink production management system based on cloud computing and block chain

Abstract

The invention discloses a colorless tea drink production management system based on cloud computing and a block chain, and belongs to the technical field of production management. According to the invention, the data acquisition module acquires raw material data, current production plan data and production data of each time of tea drink distillation and uploads the data to the block chain platform in which raw material inventory data and preset production parameters are stored; the cloud computing platform analyzes the effective stock amount of each raw material according to the data in the block chain platform and updates the planned consumption amount of each raw material, the effective stock amount of each raw material is analyzed before production, the validity of the stock amount is ensured, the use of unqualified or unavailable raw materials is avoided, and the production efficiency is improved. The production quality and the production efficiency are improved, the accuracy of raw material purchase information analysis is prompted, the planned consumption of each raw material is updated through the tea drink quality in the production process, the purchase information of each raw material is analyzed in time, and production stagnation is avoided, so that the production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to a colorless tea production management system based on cloud computing and blockchain. Background Art

[0002] Tea production management is an extremely important part of tea production, and raw material inventory analysis and procurement management are also extremely important parts of tea production management. The required consumption of raw materials often changes during the production process. For example, unqualified finished product quality leads to additional consumption of the batch of raw materials, which may result in insufficient raw material inventory to complete production. Therefore, there is an urgent need for a tea production management system that can analyze and compare the required consumption and inventory of raw materials in real time, and then notify procurement in a timely manner. Summary of the invention

[0003] In order to solve the technical problems existing in the prior art, the present invention provides a colorless tea production management system based on cloud computing and blockchain, including: The data acquisition module is used to acquire raw material data, current production plan data, and production data of each tea distillation, and upload them to the blockchain platform; the raw material data includes the quality inspection information, storage temperature, and storage humidity of each raw material; the current production plan data includes the planned consumption of various raw materials; the production data includes the distillation temperature change curve and the negative pressure change curve; the quality inspection information of each raw material includes the qualified judgment result and the order information to which it belongs; A blockchain platform stores raw material inventory data and preset production parameters, wherein the raw material inventory data includes effective inventory of various raw materials, preset storage temperature range, preset storage humidity range and order information, and the preset production parameters include a preset distillation temperature change curve and a preset negative pressure change curve; A cloud computing platform, which is used to analyze the effective inventory of various raw materials and update the planned consumption of each raw material through data in the blockchain platform; The cloud computing platform contains: an effective inventory update module, a planned consumption update module and a notification module; The effective inventory update module is used to update the effective inventory of various raw materials in the blockchain platform before production based on the raw material data; A planned consumption updating module is used to evaluate the quality of the tea beverage distilled this time according to the production data and the preset production parameters, and then update the planned consumption of various raw materials according to the quality of the tea beverage; The notification module sends a notification to the management personnel to purchase the raw material when the planned consumption of any raw material is greater than the corresponding effective inventory or the difference between the effective inventory and the corresponding planned consumption of any raw material is greater than a preset threshold.

[0004] Furthermore, the distillation temperature variation curve is monitored and acquired by a temperature sensor.

[0005] Furthermore, the negative pressure variation curve is monitored and acquired by a gauge pressure sensor.

[0006] Furthermore, according to the raw material data, the effective inventory of various raw materials in the blockchain platform is updated before production, specifically: In the raw material data, if the qualified judgment result of a certain raw material of a certain order is unqualified, a storage temperature change curve and a storage humidity change curve are drawn according to the storage temperature and storage humidity of the raw material in the preset time period, and the area S1 where the storage temperature change curve exceeds the corresponding preset storage temperature range and the area S2 where the storage humidity change curve exceeds the corresponding preset storage humidity range are analyzed; Calculate the corresponding storage abnormal value CY according to S1 and S2; Determine the unqualified factors of the corresponding type of raw materials in the corresponding order according to the stored abnormal values; The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors.

[0007] Furthermore, the corresponding storage abnormal value CY is calculated according to S1 and S2, and the specific calculation method is: ; ; ; ; Among them, t1 represents the total time duration that the storage temperature exceeds the corresponding preset storage temperature range within the preset time period, t2 represents the total time duration that the storage humidity exceeds the corresponding preset storage humidity range within the preset time period, t3 represents the total time duration that the storage temperature and storage humidity simultaneously exceed the corresponding preset storage temperature range and preset storage humidity range respectively within the preset time period, k1 to k7 are preset weights, and a1 to a3 are preset coefficients.

[0008] Furthermore, the unqualified factors of the corresponding types of raw materials in the corresponding order are determined according to the stored abnormal values, specifically: If the storage abnormality value is less than the preset storage abnormality threshold, the unqualified factor is a problem with the raw material itself; If the storage anomaly value is greater than or equal to the preset storage anomaly threshold, the unqualified factor is a storage anomaly problem.

[0009] Furthermore, the effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors, specifically: If the unqualified factor is a problem with the raw material itself, the effective inventory of the raw material minus the remaining quantity of the raw material in the corresponding order will be used as the updated effective inventory of the raw material; If the unqualified factor is a storage abnormality problem, the trained deep learning model will be used to estimate the retention rate of the raw material in the corresponding order based on the storage temperature and storage humidity within the preset time period, and the required rejection quantity will be calculated based on the retention rate. The effective inventory of the raw material will be deducted from the corresponding required rejection quantity as the updated effective inventory of the raw material.

[0010] Furthermore, the quality of the tea beverage distilled this time is evaluated according to the production data and the preset production parameters, specifically: The production data is compared with the preset production parameters, and the production abnormality value SY of the production data of this distillation is analyzed; if the production abnormality value is greater than the preset production abnormality threshold, the quality of the tea beverage distilled this time is evaluated as unqualified.

[0011] Furthermore, the specific calculation method of the production abnormal value SY is: SY=RMSE1 k8+RMSE2 k9, k8+k9=1, where RMSE1 is the root mean square error between the distillation temperature change curve of this distillation and the preset distillation temperature change curve, RMSE2 is the root mean square error between the negative pressure change curve of this distillation and the preset negative pressure change curve, and k8 and k9 are both preset weights.

[0012] Furthermore, the planned consumption of various raw materials is updated according to the quality of the tea beverage, specifically: if the quality of the tea beverage is unqualified, the consumption of each raw material corresponding to the distillation production is added to the planned consumption of each raw material.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The data acquisition module obtains raw material data, current production plan data, and production data of each tea distillation and uploads them to the blockchain platform that stores raw material inventory data and preset production parameters. The cloud computing platform then analyzes the effective inventory of various raw materials and updates the planned consumption of each raw material based on the data in the blockchain platform. The effective inventory of each raw material is analyzed before production to ensure the effectiveness of the inventory, avoid using unqualified or unavailable raw materials, improve production quality and production efficiency, and prompt the accuracy of raw material procurement information analysis. During the production process, the planned consumption of each raw material is updated according to the quality of the tea drink, and the procurement information of each raw material is analyzed in time to avoid production stagnation and thus improve production efficiency. The blockchain platform is used for data storage, and data is obtained from the blockchain platform through the cloud computing platform for data analysis. The authenticity and integrity of all key information such as raw material procurement, production process, quality inspection, etc. are ensured through blockchain technology, which helps to improve product traceability and increase the credibility of analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention. 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 description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0015] Figure 1 It is a structural block diagram of a colorless tea production management system based on cloud computing and blockchain of the present invention; Figure 2 It is a structural block diagram of a cloud computing platform of a colorless tea production management system based on cloud computing and blockchain of the present invention; Figure 3 It is an example schematic diagram of an area S1 where the analysis storage temperature change curve exceeds the corresponding preset storage temperature range of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0018] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0019] Embodiment 1 See also Figure 1 As shown, the present invention provides a colorless tea production management system based on cloud computing and blockchain, which specifically includes: The data acquisition module, the blockchain platform, the cloud computing platform and the central processing unit are communicated with the data acquisition module, the blockchain platform and the cloud computing platform.

[0020] The data acquisition module is used to obtain raw material data, current production plan data, and production data of each tea distillation, and upload them to the blockchain platform; The raw material data includes quality inspection information, storage temperature and storage humidity of each raw material; The current production plan data includes the planned consumption of various raw materials; The production data includes a distillation temperature variation curve and a negative pressure variation curve.

[0021] The quality inspection information is obtained by manually inspecting and analyzing the raw materials before the production of tea drinks and at preset time intervals. The quality inspection information of each raw material includes the qualified judgment result and the order information to which it belongs. Manual inspection is a sampling inspection of various types of raw materials for each order.

[0022] The distillation temperature variation curve is obtained by a high-precision temperature sensor, and the negative pressure variation curve is obtained by a high-precision gauge pressure sensor.

[0023] In the tea production of this scheme, distillation is the main link of production. During the tea distillation process, the distillation temperature is not constant. In order to extract the required ingredients for tea while avoiding high temperature destruction of the required ingredients, it is necessary to adjust and control the negative pressure environment in the distillation device according to different distillation stages to reduce the corresponding boiling point. The required ingredients can be extracted at a relatively low distillation temperature to ensure the quality of the output tea.

[0024] The blockchain platform stores raw material inventory data and preset production parameters. The raw material inventory data includes the effective inventory of various raw materials, a preset storage temperature range, a preset storage humidity range and order information. The preset production parameters include a preset distillation temperature change curve and a preset negative pressure change curve.

[0025] The cloud computing platform is used to analyze the effective inventory of various raw materials and update the planned consumption of each raw material through the data in the blockchain platform.

[0026] See also Figure 2 As shown, the cloud computing platform contains: an effective inventory update module, a planned consumption update module and a notification module.

[0027] The effective inventory update module is used to update the effective inventory of various raw materials in the blockchain platform according to the raw material data, specifically: In the raw material data, if the qualified judgment result of a certain raw material of a certain order is unqualified, a storage temperature change curve and a storage humidity change curve are drawn according to the storage temperature and storage humidity of the raw material in the preset time period, and the area S1 where the storage temperature change curve exceeds the corresponding preset storage temperature range and the area S2 where the storage humidity change curve exceeds the corresponding preset storage humidity range are analyzed; Calculate the corresponding storage abnormal value CY according to S1 and S2; Determine the unqualified factors of the corresponding type of raw materials in the corresponding order according to the stored abnormal values; The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors.

[0028] It should be noted that the preset time period is set manually, for example, it can start from the time when the raw materials are put into storage until the time when the raw materials are quality inspected before the tea beverage is ready for production.

[0029] The area S1 of the storage temperature change curve exceeding the corresponding preset storage temperature range, that is, within the preset period, the area of ​​the closed space formed by the intersection of the curve represented by the storage temperature of the raw material exceeding the corresponding upper limit of the preset storage temperature range and the curve represented by the corresponding upper limit of the preset storage temperature range plus the area of ​​the closed space formed by the intersection of the curve represented by the storage temperature of the raw material exceeding the corresponding lower limit of the preset storage temperature range and the curve represented by the corresponding lower limit of the preset storage temperature range, refer to Figure 3 For example, T1 and T2 represent the lower limit and upper limit of the preset storage temperature range of a certain raw material respectively, and the sum of the areas of the shaded parts is the area S1 where the storage temperature change curve of the raw material exceeds the corresponding preset storage temperature range.

[0030] The area S2 where the storage humidity change curve exceeds the corresponding preset storage humidity range can be obtained by the same analysis as above.

[0031] The corresponding storage abnormal value CY is calculated according to S1 and S2, and the specific calculation method is: ; ; ; ; Among them, t1 represents the total time duration that the storage temperature exceeds the corresponding preset storage temperature range within the preset time period, t2 represents the total time duration that the storage humidity exceeds the corresponding preset storage humidity range within the preset time period, t3 represents the total time duration that the storage temperature and storage humidity simultaneously exceed the corresponding preset storage temperature range and preset storage humidity range respectively within the preset time period, k1 to k7 are preset weights, and a1 to a3 are preset coefficients.

[0032] The unqualified factors of the corresponding types of raw materials in the corresponding order are determined according to the stored abnormal values, specifically: If the storage abnormality value is less than the preset storage abnormality threshold, the unqualified factor is a problem with the raw material itself; If the storage anomaly value is greater than or equal to the preset storage anomaly threshold, the unqualified factor is a storage anomaly problem.

[0033] The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors, specifically: If the unqualified factor is a problem with the raw material itself, the effective inventory of the raw material minus the remaining quantity of the raw material in the corresponding order will be used as the updated effective inventory of the raw material; If the unqualified factor is a storage abnormality problem, the trained deep learning model will be used to estimate the retention rate of the raw material in the corresponding order based on the storage temperature and storage humidity within the preset time period, and the required rejection quantity will be calculated based on the retention rate. The effective inventory of the raw material will be deducted from the corresponding required rejection quantity as the updated effective inventory of the raw material.

[0034] The required rejection quantity is calculated based on the retention rate, and specifically, the required rejection quantity is the quantity of the raw material of the corresponding order minus the product of the quantity of the raw material of the corresponding order and the corresponding retention rate.

[0035] The unqualified products are caused by problems with the raw materials themselves, such as problems with the source of the raw materials, the use of improper chemicals during the planting or picking process, etc. These problems often affect the safety of the entire batch of raw materials. Therefore, when the unqualified factors are problems with the raw materials themselves, all the raw materials in the order will be eliminated to ensure the food safety of the tea drinks produced.

[0036] The failure to meet standards caused by storage anomalies is simply due to the impact of the external environment during the storage process. In this case, if the scope of some raw materials affected by the environment can be determined, a prediction model can be trained using historical data to estimate the retention rate of the raw materials. While eliminating raw materials affected by storage anomalies to ensure the quality of tea production and improve production efficiency, the inventory of raw materials that can be used for production can be estimated to avoid procurement waste.

[0037] The planned consumption updating module is used to evaluate the quality of the tea beverage distilled this time according to the production data and the preset production parameters, and then update the planned consumption of various raw materials according to the quality of the tea beverage.

[0038] The tea quality of this distillation is evaluated according to the production data and the preset production parameters, specifically: Compare the production data with the preset production parameters and analyze the production abnormality value SY of the production data of this distillation, SY=RMSE1 k8+RMSE2 k9, k8+k9=1, where RMSE1 is the root mean square error between the distillation temperature change curve of this distillation and the preset distillation temperature change curve, RMSE2 is the root mean square error between the negative pressure change curve of this distillation and the preset negative pressure change curve, and k8 and k9 are both preset weights; If the production abnormality value is greater than the preset production abnormality threshold, the quality of the tea beverage is unqualified.

[0039] The planned consumption of various raw materials is updated according to the quality of tea beverage, specifically: if the quality of tea beverage is unqualified, the consumption of each raw material corresponding to the distillation production is added to the planned consumption of each raw material.

[0040] The notification module sends a notification to the management personnel to purchase the raw material when the planned consumption of any raw material is greater than the corresponding effective inventory or the difference between the effective inventory and the corresponding planned consumption of any raw material is greater than a preset threshold.

[0041] Embodiment 2 The present invention also provides a colorless tea production management method based on cloud computing and blockchain, which specifically includes the following steps: F1. Obtain raw material data, current production plan data, and production data for each tea distillation, and upload them to the blockchain platform; the blockchain platform stores raw material inventory data and preset production parameters, the raw material inventory data includes the effective inventory of various raw materials, preset storage temperature range, preset storage humidity range, and order information, and the preset production parameters include a preset distillation temperature change curve and a preset negative pressure change curve; F2. In the cloud computing platform, the effective inventory of various raw materials is analyzed through the data in the blockchain platform, and the planned consumption of each raw material is updated.

[0042] F3. When the planned consumption of any raw material is greater than the corresponding effective inventory or the difference between the effective inventory of any raw material and the corresponding planned consumption is greater than a preset threshold, a notification to purchase the raw material is sent to the management personnel.

[0043] The analysis of the effective inventory of various raw materials is specifically as follows: A1. In the raw material data, if the qualified judgment result of a certain raw material of a certain order is unqualified, a storage temperature change curve and a storage humidity change curve are drawn according to the storage temperature and storage humidity of the raw material in the preset time period, and the area S1 where the storage temperature change curve exceeds the corresponding preset storage temperature range and the area S2 where the storage humidity change curve exceeds the corresponding preset storage humidity range are analyzed; A2, calculate the corresponding storage abnormal value CY according to S1 and S2; A3. Determine the unqualified factors of the corresponding type of raw materials in the corresponding order according to the stored abnormal values; A4. Update the effective inventory of the corresponding raw materials in the blockchain platform based on the unqualified factors.

[0044] The corresponding storage abnormal value CY is calculated according to S1 and S2, and the specific calculation method is: ; ; ; ; Among them, t1 represents the total time duration that the storage temperature exceeds the corresponding preset storage temperature range within the preset time period, t2 represents the total time duration that the storage humidity exceeds the corresponding preset storage humidity range within the preset time period, t3 represents the total time duration that the storage temperature and storage humidity simultaneously exceed the corresponding preset storage temperature range and preset storage humidity range respectively within the preset time period, k1 to k7 are preset weights, and a1 to a3 are preset coefficients.

[0045] The unqualified factors of the corresponding types of raw materials in the corresponding order are determined according to the stored abnormal values, specifically: If the storage abnormality value is less than the preset storage abnormality threshold, the unqualified factor is a problem with the raw material itself; If the storage anomaly value is greater than or equal to the preset storage anomaly threshold, the unqualified factor is a storage anomaly problem.

[0046] The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors, specifically: If the unqualified factor is a problem with the raw material itself, the effective inventory of the raw material minus the remaining quantity of the raw material in the corresponding order will be used as the updated effective inventory of the raw material; If the unqualified factor is a storage abnormality problem, the trained deep learning model will be used to estimate the retention rate of the raw material in the corresponding order based on the storage temperature and storage humidity within the preset time period, and the required rejection quantity will be calculated based on the retention rate. The effective inventory of the raw material will be deducted from the corresponding required rejection quantity as the updated effective inventory of the raw material.

[0047] The updating of the planned consumption of each raw material is specifically based on evaluating the quality of the tea beverage distilled this time according to the production data and the preset production parameters, and then updating the planned consumption of various raw materials according to the quality of the tea beverage.

[0048] The tea quality of this distillation is evaluated according to the production data and the preset production parameters, specifically: Compare the production data with the preset production parameters and analyze the production abnormality value SY of the production data of this distillation, SY=RMSE1 k8+RMSE2 k9, k8+k9=1, where RMSE1 is the root mean square error between the distillation temperature change curve of this distillation and the preset distillation temperature change curve, RMSE2 is the root mean square error between the negative pressure change curve of this distillation and the preset negative pressure change curve, and k8 and k9 are both preset weights; If the production abnormality value is greater than the preset production abnormality threshold, the quality of the tea beverage is unqualified.

[0049] The planned consumption of various raw materials is updated according to the quality of tea beverage, specifically: if the quality of tea beverage is unqualified, the consumption of each raw material corresponding to the distillation production is added to the planned consumption of each raw material.

[0050] Embodiment 3 The present invention also provides an electronic device, including: a processor, a sending device, an input device, an output device and a memory. The processor can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solution provided in the embodiment of the present application. The memory can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM), and is used to store computer program code. The computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any of the above possible implementation methods.

[0051] Embodiment 4 The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.

[0052] The beneficial effects of the present invention are: The data acquisition module obtains raw material data, current production plan data, and production data of each tea distillation and uploads them to the blockchain platform that stores raw material inventory data and preset production parameters. The cloud computing platform then analyzes the effective inventory of various raw materials and updates the planned consumption of each raw material based on the data in the blockchain platform. The effective inventory of each raw material is analyzed before production to ensure the effectiveness of the inventory, avoid using unqualified or unavailable raw materials, improve production quality and production efficiency, and prompt the accuracy of raw material procurement information analysis. During the production process, the planned consumption of each raw material is updated according to the quality of the tea drink, and the procurement information of each raw material is analyzed in time to avoid production stagnation and thus improve production efficiency. The blockchain platform is used for data storage, and data is obtained from the blockchain platform through the cloud computing platform for data analysis. The authenticity and integrity of all key information such as raw material procurement, production process, quality inspection, etc. are ensured through blockchain technology, which helps to improve product traceability and increase the credibility of analysis results.

[0053] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0054] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (RandomAccess Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0055] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A colorless tea production management system based on cloud computing and blockchain, characterized in that: include: The data acquisition module is used to acquire raw material data, current production plan data, and production data of each tea distillation, and upload them to the blockchain platform; the raw material data includes the quality inspection information, storage temperature, and storage humidity of each raw material; the current production plan data includes the planned consumption of various raw materials; the production data includes the distillation temperature change curve and the negative pressure change curve; the quality inspection information of each raw material includes the qualified judgment result and the order information to which it belongs; A blockchain platform stores raw material inventory data and preset production parameters, wherein the raw material inventory data includes effective inventory of various raw materials, preset storage temperature range, preset storage humidity range and order information, and the preset production parameters include a preset distillation temperature change curve and a preset negative pressure change curve; A cloud computing platform, which is used to analyze the effective inventory of various raw materials and update the planned consumption of each raw material through data in the blockchain platform; The cloud computing platform contains: an effective inventory update module, a planned consumption update module and a notification module; The effective inventory update module is used to update the effective inventory of various raw materials in the blockchain platform before production based on the raw material data; A planned consumption updating module is used to evaluate the quality of the tea beverage distilled this time according to the production data and the preset production parameters, and then update the planned consumption of various raw materials according to the quality of the tea beverage; The notification module sends a notification to the management personnel to purchase the raw material when the planned consumption of any raw material is greater than the corresponding effective inventory or the difference between the effective inventory and the corresponding planned consumption of any raw material is greater than a preset threshold.

2. The colorless tea production management system based on cloud computing and blockchain according to claim 1 is characterized in that: The distillation temperature variation curve is monitored and acquired by a temperature sensor.

3. The colorless tea production management system based on cloud computing and blockchain according to claim 1 is characterized in that: The negative pressure variation curve is monitored and acquired by a gauge pressure sensor.

4. The colorless tea production management system based on cloud computing and blockchain according to claim 1 is characterized in that: According to the raw material data, the effective inventory of various raw materials in the blockchain platform is updated before production, specifically: In the raw material data, if the qualified judgment result of a certain raw material of a certain order is unqualified, a storage temperature change curve and a storage humidity change curve are drawn according to the storage temperature and storage humidity of the raw material in the preset time period, and the area S1 where the storage temperature change curve exceeds the corresponding preset storage temperature range and the area S2 where the storage humidity change curve exceeds the corresponding preset storage humidity range are analyzed; Calculate the corresponding storage abnormal value CY according to S1 and S2; Determine the unqualified factors of the corresponding type of raw materials in the corresponding order according to the stored abnormal values; The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors.

5. The colorless tea production management system based on cloud computing and blockchain according to claim 4 is characterized in that: The corresponding storage abnormal value CY is calculated according to S1 and S2, and the specific calculation method is: ； ； ； ； Among them, t1 represents the total time duration that the storage temperature exceeds the corresponding preset storage temperature range within the preset time period, t2 represents the total time duration that the storage humidity exceeds the corresponding preset storage humidity range within the preset time period, t3 represents the total time duration that the storage temperature and storage humidity simultaneously exceed the corresponding preset storage temperature range and preset storage humidity range respectively within the preset time period, k1 to k7 are preset weights, and a1 to a3 are preset coefficients.

6. The colorless tea production management system based on cloud computing and blockchain according to claim 4 is characterized in that: The unqualified factors of the corresponding types of raw materials in the corresponding order are determined according to the stored abnormal values, specifically: If the storage abnormality value is less than the preset storage abnormality threshold, the unqualified factor is a problem with the raw material itself; If the storage anomaly value is greater than or equal to the preset storage anomaly threshold, the unqualified factor is a storage anomaly problem.

7. The colorless tea production management system based on cloud computing and blockchain according to claim 6 is characterized in that: The effective inventory of the corresponding raw materials in the blockchain platform is updated according to the unqualified factors, specifically: If the unqualified factor is a problem with the raw material itself, the effective inventory of the raw material minus the remaining quantity of the raw material in the corresponding order will be used as the updated effective inventory of the raw material; If the unqualified factor is a storage abnormality problem, the trained deep learning model will be used to estimate the retention rate of the raw material in the corresponding order based on the storage temperature and storage humidity within the preset time period, and the required rejection quantity will be calculated based on the retention rate. The effective inventory of the raw material will be deducted from the corresponding required rejection quantity as the updated effective inventory of the raw material.

8. The colorless tea production management system based on cloud computing and blockchain according to claim 1 is characterized in that: The tea quality of this distillation is evaluated according to the production data and the preset production parameters, specifically: The production data is compared with the preset production parameters, and the production abnormality value SY of the production data of this distillation is analyzed; if the production abnormality value is greater than the preset production abnormality threshold, the quality of the tea beverage distilled this time is evaluated as unqualified.

9. The colorless tea production management system based on cloud computing and blockchain according to claim 8 is characterized in that: The specific calculation method of the production abnormal value SY is: SY=RMSE1 k8+RMSE2 k9, k8+k9=1, where RMSE1 is the root mean square error between the distillation temperature change curve of this distillation and the preset distillation temperature change curve, RMSE2 is the root mean square error between the negative pressure change curve of this distillation and the preset negative pressure change curve, and k8 and k9 are both preset weights.

10. The colorless tea production management system based on cloud computing and blockchain according to claim 1 is characterized in that: The planned consumption of various raw materials is updated according to the quality of tea beverage, specifically: if the quality of tea beverage is unqualified, the consumption of each raw material corresponding to the distillation production is added to the planned consumption of each raw material.

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