Industrial internet data processing method and system based on cloud computing

Abstract

The invention discloses an industrial internet data processing method and system based on cloud computing, and relates to the technical field of data processing.The industrial internet data processing system comprises a data receiving module, a data processing module and a remote computing module.The data receiving module is used for receiving the PH value and the volume of yoghourt in a fermentation tank through sensors; the data processing module is used for inputting operation parameters between the pH value and the volume of the yoghourt and the addition amount of the lactic acid bacteria and the baking soda, and is used for calculating the addition amount of the lactic acid bacteria and the baking soda by using an operation processing chip; the pH value and the volume change speed are analyzed to determine a specific method for processing additive amount calculation work of other edge nodes, the remote calculation module utilizes a remote server to uniformly calculate the additive amount of lactic acid bacteria and baking soda in a plurality of fermentation tanks with consistent pH values, and the data receiving module comprises a pH sensor and a volumeter. The method has the characteristic of considering both cost and calculation speed.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and specifically to an industrial Internet data processing method and system based on cloud computing. Background Art

[0002] Edge computing is a computing model that aims to move data processing and storage from centralized cloud computing to edge nodes closer to the data source. In the industrial Internet, edge computing refers to data processing on factory floors, equipment, sensors, or other places close to the production site, rather than sending all data to remote servers or the cloud for processing.

[0003] When making yogurt and cheese, changes in pH are a key factor in determining the flavor and texture of the final product. The pH value during the fermentation process should be controlled within a specific range to ensure the required acidity. By detecting the pH value and volume of the yogurt in the fermentation tank, the amount of lactic acid bacteria and baking soda added is adjusted. In order to ensure the real-time nature of the added amount, the prior art generally places the calculation process in the edge node. When the pH value and volume change too quickly, it will cause a great burden on the edge node, resulting in reduced real-time computing. The prior art generally uses better computing processing chips, which increases the cost of edge computing. Therefore, it is necessary to design a cloud computing-based industrial Internet data processing method and system that takes into account both cost and computing speed. Summary of the invention

[0004] The purpose of the present invention is to provide an industrial Internet data processing method and system based on cloud computing to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an industrial Internet data processing method and system based on cloud computing, comprising a data receiving module, a data processing module, and a remote computing module, wherein the data receiving module is used to use various sensors to receive the pH value and volume of yogurt in a fermentation tank, and to input the operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda, the data processing module is used to use an operation processing chip to calculate the addition amount of lactic acid bacteria and baking soda, and to analyze the pH value and volume change rate to determine the specific method for processing the addition amount calculation work of other edge nodes, and the remote computing module uses a remote server to uniformly calculate the addition amount of lactic acid bacteria and baking soda of multiple fermentation tanks with consistent pH values.

[0006] According to the above technical solution, the data receiving module includes a pH sensor, a capacity meter, a parameter input module, and a data receiving module. The pH sensor and the capacity meter are both electrically connected to the data receiving module. The pH sensor is used to detect the pH value of the milk in the fermentation tank. The capacity meter is used to measure the volume of the yogurt in the fermentation tank. The parameter input module is used to input the operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda. The data receiving module is used to receive real-time measurement data of the pH sensor and the capacity meter.

[0007] The data processing module includes a timing module, a change speed statistics module, an operation processing chip, a wireless transceiver module, and an allocation determination module. The timing module is electrically connected to the change speed statistics module, the operation processing chip is electrically connected to the wireless transceiver module, the change speed statistics module is electrically connected to the allocation determination module, the timing module is used to count time for calculation of pH value and volume, the change speed statistics module is used to calculate the change speed of pH value and volume of yogurt, the operation processing chip is used to calculate the addition amount of lactic acid bacteria and baking soda according to the pH value and volume of yogurt, the wireless transceiver module is used to transmit the detection data and the operation result data by wireless transceiver, and the allocation determination module is used to allocate the calculation work of the addition amount of lactic acid bacteria and baking soda;

[0008] The remote computing module includes a consistency judgment module, a remote server, a unified computing module, and a sorting module. The consistency judgment module is electrically connected to the data receiving module, the remote server is electrically connected to the unified computing module, and the sorting module is electrically connected to the change speed statistics module. The consistency judgment module is used to detect the consistency of the yogurt pH value in multiple fermentation tanks. The remote server is used to receive and process the pH value data and volume data sent uniformly. The unified computing module is used to express the addition amount of lactic acid bacteria and baking soda with an algebraic expression containing volume, and batch-calculate the addition amount of lactic acid bacteria and baking soda corresponding to each volume. The sorting module is used to sort the pH value and volume change rate of each fermentation tank to distribute the calculation of the addition amount of lactic acid bacteria and baking soda.

[0009] According to the above technical solution, it includes:

[0010] S1, the operator inputs the operation parameters related to the pH value, volume and addition amount of lactic acid bacteria and baking soda of yogurt through the parameter input module, after the yogurt is introduced into each fermentation tank, the pH value of the yogurt in the fermentation tank is monitored in real time using a pH sensor, and the volume of the yogurt in the fermentation tank is measured using a volume meter;

[0011] S2. Record the time of the test result and calculate the change speed of pH value and volume. If the change speed is not fast, the operation processing chip of the current edge node takes over the calculation of lactic acid bacteria and baking soda addition of other edge nodes. If the change speed is fast, only the calculation of its own addition is processed.

[0012] S3, detecting whether the pH values ​​in the multiple fermentation tanks are consistent, and sending the pH value and volume information to the remote server after the consistency is detected, calculating the addition amount of lactic acid bacteria and baking soda on the remote server, using algebraic expressions to represent the relationship between the volume and the addition amount of lactic acid bacteria and baking soda, and batch-calculating the addition amount of lactic acid bacteria and baking soda corresponding to each volume;

[0013] S4. Sort the fermentation tanks with fast pH value and volume change rates, distribute the calculation work of the amount of lactic acid bacteria and baking soda to be added, and allocate the additional number of operations to the fermentation tanks with consistent pH values.

[0014] According to the above technical scheme, in S1, the operation parameters between the pH value, volume of yogurt and the amount of lactic acid bacteria and baking soda added are specifically as follows: S1-1, the normal pH value in the yogurt fermentation process is preset to be P0, and the pH value actually measured in a fermentation tank is P. When P>P0, it is necessary to add a solution containing lactic acid bacteria to the yogurt to reduce the pH by P-P0. The volume of yogurt measured by the volumetric meter is V0, the volume of the solution containing lactic acid bacteria to be added is V1, the lactic acid bacteria content of the solution containing lactic acid bacteria is Pg, and the hydrogen ion concentration is μPmol / L, where μ is the conversion coefficient of the lactic acid bacteria content to the hydrogen ion concentration. According to the pH formula, it can be known that: When P<P0, a solution containing baking soda needs to be added to the yogurt to raise the pH by P0-P. The volume of the solution containing baking soda that needs to be added is V2, the baking soda content of the solution containing baking soda is bg, and the concentration of hydroxide particles is βbmol / L, where β is the conversion coefficient of baking soda content to hydroxide ions. Calculate the values ​​of V1 and V2, i.e. the amount of lactic acid bacteria and baking soda added.

[0015] According to the above technical solution, in S2, the specific method for calculating the change rate of pH value and volume is:

[0016] Suppose the measurement error of pH value is ΔP1, then the critical change value that triggers pH value adjustment is ΔP1, the measurement period is T, when the actual measured pH value change exceeds ΔP1 after kT time, k is the changing rate of pH value, suppose the measurement error of yogurt volume is ΔV2, when the actual measured volume change exceeds ΔV2 after jT time, j is the changing rate of volume.

[0017] According to the above technical scheme, in S2, the amount of lactic acid bacteria and baking soda added must be calculated every time the pH value and volume change. When the pH value change rate k is greater than the pH value critical change rate k0, and the volume change rate j is greater than the volume critical change rate j0, the computing chip where the edge node is located only processes its own addition calculation work, and allocates the extra number of operations brought by the excess part to other computing processing chips that can take over the addition calculation work. The allocated extra number of operations is δ(k-k0) and δ(j-j0). When k≤k0 and j≤j0, the computing processing chip of the current edge node can take over the lactic acid bacteria and baking soda addition calculation work of other edge nodes, and the extra number of operations taken over is γ(k0-k)(j0-j), wherein δ is the conversion coefficient between the change rate and the distribution amount, and γ is the conversion coefficient between the change rate and the undertaken amount.

[0018] According to the above technical solution, in S3, the volumes of yogurt in the fermentation tanks with the same pH value are {V 01 、V 02 ,…,V 0i}, where i is the number of fermentation tanks, and the relationship between volume and the amount of lactic acid bacteria and baking soda added is expressed using an algebraic expression. The specific calculation is based on the formula in S1-1. and Specific size, and substitute different V 0i , and obtain the specific sizes of V1 and V2 in each fermentation tank in batches.

[0019] According to the above technical solution, in S4, the specific method of allocating the additional number of operations to the fermentation tanks with the same pH value is: counting the pH value change rate k of each fermentation tank, respectively {k1, k2, ..., k i}, and the volume change rate j, respectively {j1, j2, …, j i}, and k i j i The product of is sorted, and then the number n of fermentation tanks with the same current pH value is counted, and the calculation of the amount of lactic acid bacteria and baking soda added of the fermentation tank with the highest ranking is assigned to the operation processing chip where the fermentation tank with the same pH value is located.

[0020] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention establishes a wireless communication network in each edge node, and by analyzing the pH value and volume change speed detected by the sensor of each edge node, when the change speed is not fast, the computing chip of the edge node will process the addition amount calculation work of other edge nodes, and when the change speed is fast, the edge node will only process its own addition amount calculation work, thereby reducing the average cost of each computing processing chip and not causing the phenomenon of idle computing power;

[0021] By detecting the consistency of the yogurt pH value in multiple fermentation tanks, and sending this pH value to the remote server, the amount of lactic acid bacteria and baking soda required for each volume under the fermentation characteristics of this pH value is uniformly calculated. Among the computing processing chips where multiple fermentation tanks with consistent pH values ​​are located, the computing processing chip with a slow pH value and volume change rate will take on the work of calculating the amount of addition for other edge nodes. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0023] Figure 1 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] See also Figure 1 The present invention provides a technical solution: an industrial Internet data processing method and system based on cloud computing, including a data receiving module, a data processing module, and a remote computing module. The data receiving module is used to use various sensors to receive the pH value and volume of yogurt in a fermentation tank, and input the operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda. The data processing module is used to use an operation processing chip to calculate the addition amount of lactic acid bacteria and baking soda, and analyze the pH value and volume change rate to determine the specific method for processing the addition amount calculation work of other edge nodes. The remote computing module uses a remote server to uniformly calculate the addition amount of lactic acid bacteria and baking soda of multiple fermentation tanks with consistent pH values.

[0026] The data receiving module includes a pH sensor, a capacity meter, a parameter input module, and a data receiving module. The pH sensor and the capacity meter are both electrically connected to the data receiving module. The pH sensor is used to detect the pH value of the milk in the fermentation tank. The capacity meter is used to measure the volume of the yogurt in the fermentation tank. The parameter input module is used to input the operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda. The data receiving module is used to receive real-time measurement data from the pH sensor and the capacity meter.

[0027] The data processing module includes a timing module, a change speed statistics module, an operation processing chip, a wireless transceiver module, and an allocation determination module. The timing module is electrically connected to the change speed statistics module, the operation processing chip is electrically connected to the wireless transceiver module, the change speed statistics module is electrically connected to the allocation determination module, the timing module is used to count time for calculation of pH value and volume, the change speed statistics module is used to calculate the change speed of pH value and volume of yogurt, the operation processing chip is used to calculate the addition amount of lactic acid bacteria and baking soda according to the pH value and volume of yogurt, the wireless transceiver module is used to transmit the detection data and the operation result data by wireless transceiver, and the allocation determination module is used to allocate the calculation work of the addition amount of lactic acid bacteria and baking soda;

[0028] The remote computing module includes a consistency judgment module, a remote server, a unified computing module, and a sorting module. The consistency judgment module is electrically connected to the data receiving module, the remote server is electrically connected to the unified computing module, and the sorting module is electrically connected to the change speed statistics module. The consistency judgment module is used to detect the consistency of the pH value of yogurt in multiple fermentation tanks. The remote server is used to receive and process the pH value data and volume data sent uniformly. The unified computing module is used to express the addition amount of lactic acid bacteria and baking soda with an algebraic expression containing volume, and batch calculate the addition amount of lactic acid bacteria and baking soda corresponding to each volume. The sorting module is used to sort the pH value and volume change rate of each fermentation tank to distribute the calculation of the addition amount of lactic acid bacteria and baking soda.

[0029] include:

[0030] S1, the operator inputs the operation parameters related to the pH value, volume and addition amount of lactic acid bacteria and baking soda of yogurt through the parameter input module, after the yogurt is introduced into each fermentation tank, the pH value of the yogurt in the fermentation tank is monitored in real time using a pH sensor, and the volume of the yogurt in the fermentation tank is measured using a volume meter;

[0031] S2. Record the time of the test result and calculate the change speed of pH value and volume. If the change speed is not fast, the operation processing chip of the current edge node takes over the calculation of lactic acid bacteria and baking soda addition of other edge nodes. If the change speed is fast, only the calculation of its own addition is processed.

[0032] S3, detecting whether the pH values ​​in the multiple fermentation tanks are consistent, and sending the pH value and volume information to the remote server after the consistency is detected, calculating the addition amount of lactic acid bacteria and baking soda on the remote server, using algebraic expressions to represent the relationship between the volume and the addition amount of lactic acid bacteria and baking soda, and batch-calculating the addition amount of lactic acid bacteria and baking soda corresponding to each volume;

[0033] S4, sorting the fermentation tanks with fast pH value and volume change speed, allocating the calculation work of the addition amount of lactic acid bacteria and baking soda, and allocating the extra operation times to the fermentation tanks with consistent pH value;

[0034] In S1, the operation parameters between the pH value, volume of yogurt and the amount of lactic acid bacteria and baking soda added are specifically as follows: S1-1, the normal pH value during the preset yogurt fermentation process is P0, and the actual pH value measured in a fermentation tank is P. When P>P0, it is necessary to add a solution containing lactic acid bacteria to the yogurt to reduce the pH by P-P0. The volume of yogurt measured by the volumetric meter is V0, the volume of the solution containing lactic acid bacteria to be added is V1, the lactic acid bacteria content of the solution containing lactic acid bacteria is Pg, and the hydrogen ion concentration is μPmol / L, where μ is the conversion coefficient of the lactic acid bacteria content to the hydrogen ion concentration. According to the pH formula, it can be known that: When P<P0, a solution containing baking soda needs to be added to the yogurt to raise the pH by P0-P. The volume of the solution containing baking soda that needs to be added is V2, the baking soda content of the solution containing baking soda is bg, and the concentration of hydroxide particles is βbmol / L, where β is the conversion coefficient of baking soda content to hydroxide ions. Calculate the values ​​of V1 and V2, i.e. the amount of lactic acid bacteria and baking soda added;

[0035] In S2, the specific method for calculating the change rate of pH value and volume is:

[0036] Let the measurement error of pH value be ΔP1, then the critical change value that triggers pH value adjustment is ΔP1, the measurement period is T, when the pH value changes by more than ΔP1 after kT time, k is the change rate of pH value, let the volume measurement error of yogurt be ΔV2, when the volume changes by more than ΔV2 after jT time, j is the change rate of volume;

[0037] In S2, the amount of lactic acid bacteria and baking soda to be added is calculated every time the pH value and volume change. When the pH value change rate k is greater than the pH value critical change rate k0, and the volume change rate j is greater than the volume critical change rate j0, the computing chip where the edge node is located only processes its own calculation of the amount of addition, and allocates the extra number of operations brought by the excess to other computing chips that can take over the calculation of the amount of addition. The allocated extra number of operations is δ(k-k0) and δ(j-j0). When k≤k0 and j≤j0, the computing chip of the current edge node can take over the calculation of the amount of lactic acid bacteria and baking soda added by other edge nodes, and the extra number of operations taken over is γ(k0-k)(j0-j), where δ is the conversion coefficient between the change rate and the distribution amount, and γ is the conversion coefficient between the change rate and the acceptance amount.

[0038] In S3, the volumes of yogurt in the fermentation tanks with the same pH values ​​are {V 01 、V 02 ,…,V 0i}, where i is the number of fermentation tanks, and the relationship between volume and the amount of lactic acid bacteria and baking soda added is expressed using an algebraic expression. The specific calculation is based on the formula in S1-1. and Specific size, and substitute different V 0i , get the specific size of V1 and V2 in each fermentation tank in batches;

[0039] In S4, the specific method of allocating the additional number of operations to the fermentation tanks with the same pH value is: counting the pH value change rate k of each fermentation tank, respectively {k1, k2, ..., k i}, and the volume change rate j, respectively {j1, j2, …, j i}, and k i j i The product of is sorted, and then the number n of fermentation tanks with the same current pH value is counted, and the calculation of the amount of lactic acid bacteria and baking soda added of the fermentation tank with the highest ranking is assigned to the operation processing chip where the fermentation tank with the same pH value is located.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The industrial Internet data processing system based on cloud computing is characterized by: The invention comprises a data receiving module, a data processing module and a remote computing module. The data receiving module is used to use various sensors to receive the pH value and volume of yogurt in a fermentation tank, and to input operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda. The data processing module is used to use an operation processing chip to calculate the addition amount of lactic acid bacteria and baking soda, and to analyze the pH value and volume change speed to determine the specific method for processing the addition amount calculation work of other edge nodes. The remote computing module uses a remote server to uniformly calculate the addition amount of lactic acid bacteria and baking soda of multiple fermentation tanks with consistent pH values.

2. The industrial Internet data processing system based on cloud computing according to claim 1 is characterized in that: The data receiving module includes a pH sensor, a capacity meter, a parameter input module, and a data receiving module. The pH sensor and the capacity meter are both electrically connected to the data receiving module. The pH sensor is used to detect the pH value of the milk in the fermentation tank. The capacity meter is used to measure the volume of the yogurt in the fermentation tank. The parameter input module is used to input the operation parameters between the pH value and volume of the yogurt and the addition amount of lactic acid bacteria and baking soda. The data receiving module is used to receive real-time measurement data of the pH sensor and the capacity meter. The data processing module includes a timing module, a change speed statistics module, an operation processing chip, a wireless transceiver module, and an allocation determination module. The timing module is electrically connected to the change speed statistics module, the operation processing chip is electrically connected to the wireless transceiver module, the change speed statistics module is electrically connected to the allocation determination module, the timing module is used to count time for calculation of pH value and volume, the change speed statistics module is used to calculate the change speed of pH value and volume of yogurt, the operation processing chip is used to calculate the addition amount of lactic acid bacteria and baking soda according to the pH value and volume of yogurt, the wireless transceiver module is used to transmit the detection data and the operation result data by wireless transceiver, and the allocation determination module is used to allocate the calculation work of the addition amount of lactic acid bacteria and baking soda; The remote computing module includes a consistency judgment module, a remote server, a unified computing module, and a sorting module. The consistency judgment module is electrically connected to the data receiving module, the remote server is electrically connected to the unified computing module, and the sorting module is electrically connected to the change speed statistics module. The consistency judgment module is used to detect the consistency of the yogurt pH value in multiple fermentation tanks. The remote server is used to receive and process the pH value data and volume data sent uniformly. The unified computing module is used to express the addition amount of lactic acid bacteria and baking soda with an algebraic expression containing volume, and batch-calculate the addition amount of lactic acid bacteria and baking soda corresponding to each volume. The sorting module is used to sort the pH value and volume change rate of each fermentation tank to distribute the calculation of the addition amount of lactic acid bacteria and baking soda.

3. The industrial Internet data processing method based on cloud computing is characterized by: The method works according to the system of claim 2, comprising: S1, the operator inputs the operation parameters related to the pH value, volume and addition amount of lactic acid bacteria and baking soda of yogurt through the parameter input module, after the yogurt is introduced into each fermentation tank, the pH value of the yogurt in the fermentation tank is monitored in real time using a pH sensor, and the volume of the yogurt in the fermentation tank is measured using a volume meter; S2. Record the time of the test result and calculate the change speed of pH value and volume. If the change speed is not fast, the operation processing chip of the current edge node takes over the calculation of lactic acid bacteria and baking soda addition of other edge nodes. If the change speed is fast, only the calculation of its own addition is processed. S3, detecting whether the pH values ​​in the multiple fermentation tanks are consistent, and sending the pH value and volume information to the remote server after the consistency is detected, calculating the addition amount of lactic acid bacteria and baking soda on the remote server, using algebraic expressions to represent the relationship between the volume and the addition amount of lactic acid bacteria and baking soda, and batch-calculating the addition amount of lactic acid bacteria and baking soda corresponding to each volume; S4. Sort the fermentation tanks with fast pH value and volume change rates, distribute the calculation work of the amount of lactic acid bacteria and baking soda to be added, and allocate the additional number of operations to the fermentation tanks with consistent pH values.

4. The industrial Internet data processing method based on cloud computing according to claim 3 is characterized in that: In S1, the operation parameters between the pH value, volume of yogurt and the amount of lactic acid bacteria and baking soda added are specifically as follows: S1-1, the normal pH value during the yogurt fermentation process is preset to be P0, the pH value actually measured in a fermentation tank is P, when P>P0, it is necessary to add a solution containing lactic acid bacteria to the yogurt to reduce the pH by P-P0, the volume of yogurt measured by the volumetric meter is V0, the volume of the solution containing lactic acid bacteria to be added is V1, the lactic acid bacteria content of the solution containing lactic acid bacteria is Pg, and the hydrogen ion concentration is μPmol / L, where μ is the conversion coefficient of the lactic acid bacteria content to the hydrogen ion concentration. According to the pH formula, it can be known that: When P<P0, a solution containing baking soda needs to be added to the yogurt to raise the pH by P0-P. The volume of the solution containing baking soda that needs to be added is V2, the baking soda content of the solution containing baking soda is bg, and the concentration of hydroxide particles is βbmol / L, where β is the conversion coefficient of baking soda content to hydroxide ions. Calculate the values ​​of V1 and V2, i.e. the amount of lactic acid bacteria and baking soda added.

5. The industrial Internet data processing method based on cloud computing according to claim 4 is characterized in that: In S2, the specific method for calculating the change rate of pH value and volume is: Suppose the measurement error of pH value is ΔP1, then the critical change value that triggers pH value adjustment is ΔP1, the measurement period is T, when the actual measured pH value change exceeds ΔP1 after kT time, k is the changing rate of pH value, suppose the measurement error of yogurt volume is ΔV2, when the actual measured volume change exceeds ΔV2 after jT time, j is the changing rate of volume.

6. The industrial Internet data processing method based on cloud computing according to claim 5 is characterized in that: In S2, the amount of lactic acid bacteria and baking soda added is calculated every time the pH value and volume change. When the pH value change rate k is greater than the pH value critical change rate k0, and the volume change rate j is greater than the volume critical change rate j0, the computing chip where the edge node is located only processes its own addition calculation work, and allocates the extra number of operations brought by the excess to other computing chips that can take over the addition calculation work. The allocated extra number of operations is δ(k-k0) and δ(j-j0). When k≤k0 and j≤j0, the computing chip of the current edge node can take over the lactic acid bacteria and baking soda addition calculation work of other edge nodes, and the extra number of operations taken over is γ(k0-k)(j0-j), where δ is the conversion coefficient between the change rate and the distribution amount, and γ is the conversion coefficient between the change rate and the undertaken amount.

7. The industrial Internet data processing method based on cloud computing according to claim 6 is characterized in that: In S3, the volumes of yogurt in the fermentation tanks with the same pH values ​​are {V 01 、V 02 ,…,V 0i }, where i is the number of fermentation tanks, and the relationship between volume and the amount of lactic acid bacteria and baking soda added is expressed using an algebraic expression. The specific calculation is based on the formula in S1-1. and Specific size, and substitute different V 0i , and obtain the specific sizes of V1 and V2 in each fermentation tank in batches.

8. The industrial Internet data processing method based on cloud computing according to claim 7 is characterized in that: In S4, the specific method of allocating the additional number of operations to the fermentation tanks with the same pH value is: counting the pH value change rate k of each fermentation tank, respectively {k1, k2, ..., k i }, and the volume change rate j, respectively {j1, j2, …, j i }, and k i j i The product of is sorted, and then the number n of fermentation tanks with the same current pH value is counted, and the calculation of the amount of lactic acid bacteria and baking soda added of the fermentation tank with the highest ranking is assigned to the operation processing chip where the fermentation tank with the same pH value is located.

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