A freeze-drying system control method based on human-computer interaction

Abstract

The present invention relates to the technical field of system control management, and specifically to a freeze-drying system control method based on human-computer interaction, comprising obtaining a user's historical information browsing record on a freeze-drying system platform, and extracting the user's characteristic browsing data from the historical information browsing record; obtaining a user's historical interaction record in the freeze-drying system platform, extracting the user's characteristic interaction information from the historical interaction record, and analyzing the interactive correlation between various types of freeze-drying information when the user performs human-computer interaction on the freeze-drying system platform to obtain the user's information correlation data; analyzing the user's data interaction status for different freeze-drying data information in the current cycle to obtain the user's system recommendation data; based on the system recommendation data, sequentially displaying the freeze-drying related data in the freeze-drying system platform to the user, and intelligently managing the freeze-drying production and processing process according to the user's control data on the freeze-drying system platform.

Description

Technical Field

[0001] The invention relates to the technical field of system control management, and in particular to a freeze-drying system control method based on human-computer interaction. Background Art

[0002] Freeze-drying technology can retain the nutrition, active ingredients and taste of the raw materials, while avoiding the loss of nutrition and chemical changes that may be caused by traditional heat treatment processes. Therefore, freeze-dried products have a long shelf life and are convenient for long-distance transportation and storage. Coffee is a hot beverage commonly found all over the world, but coffee beans or ground coffee powder exposed to the air at room temperature are susceptible to moisture, deterioration and oxidation, which leads to a decline in the flavor and quality of the coffee. In order to solve the above problems, coffee is usually freeze-dried to prepare freeze-dried coffee. Freeze-dried coffee can not only retain the flavor and nutrition of coffee, but also because freeze-dried coffee removes moisture, it can prevent the growth of bacteria and mold, so freeze-dried coffee can be stored for a long time. Freeze-dried coffee is often in the form of granules or powder, so it is very easy to carry. You only need to add hot water to drink it, and there is no need to grind it freshly, saving time and energy.

[0003] In the current production and processing of freeze-dried coffee, a human-computer interaction freeze-drying system is usually used to prepare and produce freeze-dried coffee. The human-computer interaction coffee freeze-drying system can realize the automation of coffee preparation, reduce the need for manual operation, and improve the consistency of production efficiency. It can also accurately control the temperature, time, humidity and other parameters in the preparation and production process of freeze-dried coffee through preset programs and control systems to ensure the stability of coffee quality and taste. However, there are many problems in controlling and managing the coffee preparation process when using the human-computer interaction freeze-drying system. The preparation and production process of freeze-dried coffee will generate a lot of data. Users of the human-computer interaction freeze-drying system need to control and manage the preparation and production of freeze-dried coffee based on these data. However, there are many data, and the human-computer interaction interface displays limited content, which makes it impossible to reasonably push data and information to users of the human-computer interaction system, which will not only affect the speed of freeze-dried coffee preparation, but also the quality of freeze-dried coffee preparation, and even cause food safety problems. Summary of the invention

[0004] The object of the present invention is to provide a freeze-drying system control method based on human-computer interaction to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a freeze-drying system control method based on human-computer interaction, the method comprising:

[0006] Step S100: obtaining the historical information browsing records of the user on the freeze-drying system platform, extracting the user's characteristic browsing data from the historical information browsing records, and analyzing the user's data intention status for different freeze-drying related data in the freeze-drying system platform to obtain the user's characteristic intention data;

[0007] Step S200: obtaining historical interaction records of the user in the freeze-drying system platform, extracting characteristic interaction information of the user from the historical interaction records, and analyzing the interaction correlation between various types of freeze-drying information when the user performs human-computer interaction in the freeze-drying system platform to obtain information correlation data of the user;

[0008] Step S300: Based on the characteristic intention data and in combination with the information association data, the data interaction status of the user for different freeze-dried data information in the current period is analyzed to obtain the system recommendation data of the user;

[0009] Step S400: Based on the system recommendation data, the freeze-drying related data in the freeze-drying system platform are displayed to the user in sequence, and the freeze-drying production process is intelligently managed according to the user's control data on the freeze-drying system platform.

[0010] Furthermore, step S100 includes:

[0011] Step S101: obtaining the historical information browsing records of the user in the freeze-drying system platform, and extracting the user's characteristic browsing data from the historical information browsing records, wherein the characteristic browsing data includes the total browsing time of the user browsing various types of freeze-drying information in the freeze-drying system platform;

[0012] Step S102: Obtain the distance between the historical information browsing record and the current period, obtain the browsing time of each type of freeze-dried information by the user in the historical information browsing record, and calculate the characteristic user intention value of the user for each freeze-dried information type in the historical information browsing record, wherein the characteristic user intention value W of the user for the a-th type of freeze-dried information in the historical information browsing record is a =t a / t sum , t a is the browsing time of the user on the freeze-dried information type a in the historical information browsing record, t sum The total browsing time of each type of freeze-dried information by the user in the historical information browsing record;

[0013] Step S103: Obtain the time length of the distance between each historical information browsing record of the user and the current cycle, and obtain the maximum value T of the time length of the distance between each historical information browsing record of the user and the current cycle max , calculate the user's intention value of the characteristic data of each type of freeze-dried information, where the user's intention value of the characteristic data of the a-th type of freeze-dried information is Qa :

[0014] ,

[0015] Where n is the total number of historical information browsing records containing the a-th type of freeze-drying information in the freeze-drying system platform; W a,i is the characteristic user intention value of the user for the a-th type of freeze-dried information in the i-th historical information browsing record; T a i is the time length between the i-th historical information browsing record of the user containing the a-th type of freeze-dried information and the current period;

[0016] Step S104: Set a characteristic data intention threshold. When the user's characteristic data intention value for the a-th freeze-dried information type is greater than the characteristic data intention threshold, the a-th freeze-dried information type is determined to be the user's intention data, and the a-th freeze-dried information type is recorded as the user's characteristic intention freeze-dried information type. The user's various characteristic intention freeze-dried information types are obtained and aggregated to obtain the user's characteristic intention data.

[0017] Furthermore, the process of acquiring the historical information browsing record in step S101 includes:

[0018] The user's identity on the freeze-drying system platform is obtained, and a characteristic unit duration is set. When the user uses the identity to control the freeze-drying production and processing process on the freeze-drying system platform, the user's browsing behavior on the freeze-drying system platform is monitored, and the information content browsed by the user on the freeze-drying system platform is collected to obtain the user's historical information browsing record, wherein the interval duration between two adjacent historical information browsing records of adjacent users is greater than the characteristic unit duration.

[0019] Further, step S200 includes:

[0020] Step S201: setting a unit time, monitoring the user's interactive behavior in the freeze-drying system platform every unit time, obtaining the user's historical interaction record on the freeze-drying system platform, and obtaining the user's characteristic interaction information on the freeze-drying system platform from the historical interaction record, the characteristic interaction information including the time point when the user starts to interact with various types of freeze-drying information on the freeze-drying system platform;

[0021] Step S202: Obtain the duration of the distance between each historical interaction record of the user and the current cycle, and obtain the maximum value T of the distance between each historical interaction record and the current cycle. △,max , calculate the marking time factor of each historical interaction record of the user, where the marking time factor Y of the bth historical interaction record of the user is b =T △,max / (T △,max+T △,b ), T △,b is the duration between the bth historical interaction record and the current cycle;

[0022] Step S203: based on the time points at which the user interactively controls various types of freeze-dried information in the historical interaction records, and in chronological order, various types of freeze-dried information interacted by the user in the historical interaction records are sorted to obtain a freeze-dried information interaction set of the historical interaction records;

[0023] Step S204: randomly selecting a certain type of freeze-dried information and another type of freeze-dried information from the freeze-dried information interaction set of each historical interaction record, and obtaining a marked historical interaction record of the certain type of freeze-dried information and the other type of freeze-dried information;

[0024] Step S205: obtaining each mark history interaction record between a certain type of freeze-dried information and another type of freeze-dried information, obtaining the total number of interactive effects of a certain type of freeze-dried information on another type of freeze-dried information in each mark history interaction record, and calculating the mark interaction order value between a certain type of freeze-dried information and another type of freeze-dried information;

[0025] Step S206: Based on the marked interaction order values ​​of a certain type of freeze-dried information and another type of freeze-dried information, the correlation between a certain type of freeze-dried information and another type of freeze-dried information when the user interacts on the freeze-drying system platform is analyzed, and various types of freeze-dried information that are correlated when the user interacts with the freeze-drying system platform are obtained and collected to obtain information correlation data of the user;

[0026] In the above steps, the marking time factor of each historical interaction record of the user is calculated because for the user, the user's historical interaction record reflects the user's interaction habits with various types of freeze-drying information in the freeze-drying system platform, but people's behavioral habits will change over time, so the longer the distance between different historical interaction records and the current cycle, the weaker its ability to reflect people's behavioral habits, and vice versa. It is precisely because of this that the marking time factor is added to the marking interaction order value in the subsequent process, which will make the subsequent data analysis more accurate and scientific.

[0027] Furthermore, in step S204, the specific process of obtaining the mark history interaction record between a certain type of freeze-dried information and another type of freeze-dried information includes:

[0028] From the freeze-dried information interaction set of a certain historical interaction record in each historical interaction record, a certain type of freeze-dried information and another type of freeze-dried information are randomly selected. When the interaction order of a certain type of freeze-dried information and another type of freeze-dried information are adjacent in a certain freeze-dried information interaction set, and the interaction order of a certain type of freeze-dried information is less than the interaction order of the other type of freeze-dried information, it is recorded as the number of interaction influences between a certain type of freeze-dried information and another type of freeze-dried information in a certain freeze-dried information interaction set, and a certain historical interaction record is recorded as a marked historical interaction record between a certain type of freeze-dried information and another type of freeze-dried information.

[0029] Furthermore, in step S205, the specific calculation process of the mark interaction order value of a certain type of freeze-dried information and another type of freeze-dried information includes:

[0030] Calculate the mark interaction order value P between a certain type of freeze-dried information and another type of freeze-dried information:

[0031] ,

[0032] Among them, Y △ x F is the marking time factor of the xth marking history interaction record between a certain type of freeze-dried information and another type of freeze-dried information; x is the total number of interactive influences of a certain type of freeze-dried information on another type of freeze-dried information in the freeze-dried information interaction set of the xth marked historical interaction record; j is the total number of marked historical interaction records between a certain type of freeze-dried information and another type of freeze-dried information.

[0033] Furthermore, in step S206, the specific process of analyzing the correlation between a certain type of freeze-dried information and another type of freeze-dried information when the user interacts on the freeze-drying system platform includes:

[0034] When the marked interaction order value of a certain type of freeze-dried information type and another type of freeze-dried information type is greater than the preset marked interaction order threshold, it is determined that the certain type of freeze-dried information type and the other type of freeze-dried information type are associated when the user interacts with the freeze-drying system platform, and the other type of freeze-dried information type is recorded as the interactively associated freeze-dried information type of the certain type of freeze-dried information type.

[0035] Furthermore, step S300 includes:

[0036] Step S301: obtaining each characteristic intention freeze-dried information type of the user from the characteristic intention data of the user, and obtaining a plurality of interactively associated information types in each characteristic intention freeze-dried information type based on the information association data of the user, and when another freeze-dried information type in the plurality of interactively associated information types is not a characteristic-affecting freeze-dried information type, eliminating the other freeze-dried information type from the plurality of interactively associated information types, and recording the retained interactively associated information types as target interactively associated information types of each characteristic intention freeze-dried information type in the current cycle;

[0037] Step S302: Obtain and aggregate target interactively associated information types of each characteristic intention freeze-dried information type of the user in the current period to obtain system recommendation data for the user.

[0038] Furthermore, step S400 includes:

[0039] Step S401: obtaining the preset display quantity L of the marked information type on the freeze-drying system platform when the user logs in to the freeze-drying system platform for the first time in the current period, obtaining the characteristic data intention value of the user for each characteristic intention freeze-drying information type, and selecting L characteristic intention freeze-drying information types from each characteristic intention freeze-drying information type according to the size of the characteristic data intention value as the marked target freeze-drying information type of the user on the freeze-drying system platform in the current period;

[0040] Step S402: when the user logs in to the freeze-drying system platform in the current cycle, content recommendations are displayed to the user, and according to the user's control data on the freeze-drying system platform, corresponding adjustments are made to the freeze-drying production process controlled by the freeze-drying system platform.

[0041] Furthermore, the specific process of presenting content recommendations to users in step S402 includes:

[0042] The freeze-dried information content related to the marked target freeze-dried information type is displayed to the user, and a marked target freeze-dried information type for which the user performs human-computer interaction when controlling the freeze-drying system on the freeze-drying system platform is obtained; based on the user's system recommendation data, the freeze-dried information content of a target interactively associated information type of a marked target freeze-dried information type is recommended to the user on the freeze-drying system platform.

[0043] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention realizes intelligent control and intelligent management of the freeze-drying system platform, and intelligently pushes freeze-drying related information to users through historical information browsing records of users on the freeze-drying system platform within a historical period, so that users can quickly find the freeze-drying related information they need from a large amount of freeze-drying related information, greatly reducing the time spent by users on searching for information, and at the same time, by analyzing historical interaction records, subsequent recommendations are made to users browsing information on the freeze-drying system platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute 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:

[0045] Figure 1 It is a method flow chart of a freeze-drying system control method based on human-computer interaction of the present invention;

[0046] Figure 2 The present invention discloses an information push flow chart of a freeze-drying system control method based on human-computer interaction. DETAILED DESCRIPTION

[0047] 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.

[0048] See also Figure 1-Figure 2 The present invention provides a technical solution: a freeze-drying system control method based on human-computer interaction, the method comprising:

[0049] Step S100: obtaining the historical information browsing records of the user on the freeze-drying system platform, extracting the user's characteristic browsing data from the historical information browsing records, and analyzing the user's data intention status for different freeze-drying related data in the freeze-drying system platform to obtain the user's characteristic intention data;

[0050] Wherein, step S100 includes:

[0051] Step S101: obtaining the historical information browsing records of the user in the freeze-drying system platform, and extracting the user's characteristic browsing data from the historical information browsing records, wherein the characteristic browsing data includes the total browsing time of the user browsing various types of freeze-drying information in the freeze-drying system platform;

[0052] Step S102: Obtain the distance between the historical information browsing record and the current period, obtain the browsing time of each type of freeze-dried information by the user in the historical information browsing record, and calculate the characteristic user intention value of the user for each freeze-dried information type in the historical information browsing record, wherein the characteristic user intention value W of the user for the a-th type of freeze-dried information in the historical information browsing record is a =t a / t sum , t a is the browsing time of the user for the freeze-dried information type a in the historical information browsing record, t sum The total browsing time of each type of freeze-dried information by the user in the historical information browsing record;

[0053] Step S103: Obtain the time length of the distance between each historical information browsing record of the user and the current cycle, and obtain the maximum value T of the time length of the distance between each historical information browsing record of the user and the current cycle max , calculate the user's intention value of the characteristic data of each type of freeze-dried information, where the user's intention value of the characteristic data of the a-th type of freeze-dried information is Q a :

[0054] ,

[0055] Where n is the total number of historical information browsing records containing the a-th type of freeze-drying information in the freeze-drying system platform; W a,i is the characteristic user intention value of the user for the a-th type of freeze-dried information in the i-th historical information browsing record; T a i is the time length between the i-th historical information browsing record of the user containing the a-th type of freeze-dried information and the current period;

[0056] Step S104: Set a characteristic data intention threshold. When the user's characteristic data intention value for the a-th freeze-dried information type is greater than the characteristic data intention threshold, the a-th freeze-dried information type is determined to be the user's intention data, and the a-th freeze-dried information type is recorded as the user's characteristic intention freeze-dried information type. The user's various characteristic intention freeze-dried information types are obtained and aggregated to obtain the user's characteristic intention data.

[0057] The process of obtaining the historical information browsing record in step S101 includes:

[0058] Obtain the user's identity on the freeze-drying system platform, set the characteristic unit duration, and when the user uses the identity to control the freeze-drying production and processing process on the freeze-drying system platform, monitor the user's browsing behavior on the freeze-drying system platform, collect the information content browsed by the user on the freeze-drying system platform, and obtain the user's historical information browsing record, wherein the interval duration between two adjacent historical information browsing records of adjacent users is greater than the characteristic unit duration;

[0059] Step S200: obtaining historical interaction records of the user in the freeze-drying system platform, extracting characteristic interaction information of the user from the historical interaction records, and analyzing the interaction correlation between various types of freeze-drying information when the user performs human-computer interaction in the freeze-drying system platform to obtain information correlation data of the user;

[0060] Wherein, step S200 includes:

[0061] Step S201: setting a unit time, monitoring the user's interactive behavior in the freeze-drying system platform every unit time, obtaining the user's historical interaction record on the freeze-drying system platform, and obtaining the user's characteristic interaction information on the freeze-drying system platform from the historical interaction record, the characteristic interaction information including the time point when the user starts to interact with various types of freeze-drying information on the freeze-drying system platform;

[0062] Step S202: Obtain the duration of the distance between each historical interaction record of the user and the current cycle, and obtain the maximum value T of the distance between each historical interaction record and the current cycle. △,max , calculate the marking time factor of each historical interaction record of the user, where the marking time factor Y of the bth historical interaction record of the user is b =T △,max / (T △,max +T △,b ), T △,b is the duration between the bth historical interaction record and the current cycle;

[0063] Step S203: based on the time points at which the user interactively controls various types of freeze-dried information in the historical interaction records, and in chronological order, various types of freeze-dried information interacted by the user in the historical interaction records are sorted to obtain a freeze-dried information interaction set of the historical interaction records;

[0064] Step S204: randomly selecting a certain type of freeze-dried information and another type of freeze-dried information from the freeze-dried information interaction set of each historical interaction record, and obtaining a marked historical interaction record of the certain type of freeze-dried information and the other type of freeze-dried information;

[0065] Step S205: obtaining each mark history interaction record between a certain type of freeze-dried information and another type of freeze-dried information, obtaining the total number of interactive effects of a certain type of freeze-dried information on another type of freeze-dried information in each mark history interaction record, and calculating the mark interaction order value between a certain type of freeze-dried information and another type of freeze-dried information;

[0066] Step S206: Based on the marked interaction order values ​​of a certain type of freeze-dried information and another type of freeze-dried information, the correlation between a certain type of freeze-dried information and another type of freeze-dried information when the user interacts on the freeze-drying system platform is analyzed, and various types of freeze-dried information that are correlated when the user interacts with the freeze-drying system platform are obtained and collected to obtain information correlation data of the user;

[0067] The specific process of obtaining the mark history interaction record of a certain type of freeze-dried information and another type of freeze-dried information in step S204 includes:

[0068] Randomly select a certain type of freeze-dried information and another type of freeze-dried information from the freeze-dried information interaction set of a certain historical interaction record in each historical interaction record. When the interaction order of a certain type of freeze-dried information and another type of freeze-dried information are adjacent in a certain freeze-dried information interaction set, and the interaction order of a certain type of freeze-dried information is less than the interaction order of another type of freeze-dried information, it is recorded as the number of interaction influences between a certain type of freeze-dried information and another type of freeze-dried information in a certain freeze-dried information interaction set, and a certain historical interaction record is recorded as a marked historical interaction record between a certain type of freeze-dried information and another type of freeze-dried information;

[0069] The specific calculation process of the mark interaction order value of a certain type of freeze-dried information and another type of freeze-dried information in step S205 includes:

[0070] Calculate the mark interaction order value P between a certain type of freeze-dried information and another type of freeze-dried information:

[0071] ,

[0072] Among them, Y △ x F is the marking time factor of the xth marking history interaction record between a certain type of freeze-dried information and another type of freeze-dried information; x is the total number of interactive impacts of a certain type of freeze-dried information on another type of freeze-dried information in the freeze-dried information interaction set of the xth marked historical interaction record; j is the total number of marked historical interaction records between a certain type of freeze-dried information and another type of freeze-dried information;

[0073] For example, the marking time factor Y of the first marking history interaction record of the second type of freeze-dried information and the third type of freeze-dried information △ 1 is 0.7, the marking time factor Y of the first marking history interaction record of the second type of freeze-dried information and the third type of freeze-dried information △ 2 is 0.75, the total number of marked historical interaction records between the second type of freeze-dried information and the third type of freeze-dried information is 2, in the freeze-dried information interaction set of the first marked historical interaction record, the total number of interactive influences F1 between the second type of freeze-dried information and the third type of freeze-dried information is 3, in the freeze-dried information interaction set of the second marked historical interaction record, the total number of interactive influences F2 between the second type of freeze-dried information and the third type of freeze-dried information is 5, calculate the marked interaction order value P between the second type of freeze-dried information and the third type of freeze-dried information:

[0074] ,

[0075] The specific process of analyzing the correlation between a certain type of freeze-dried information and another type of freeze-dried information when the user interacts on the freeze-drying system platform in step S206 includes:

[0076] When the marked interaction order value between a certain type of freeze-dried information and another type of freeze-dried information is greater than a preset marked interaction order threshold, it is determined that the certain type of freeze-dried information and the other type of freeze-dried information are associated when the user interacts with the freeze-drying system platform, and the other type of freeze-dried information is recorded as an interactively associated freeze-dried information type of the certain type of freeze-dried information;

[0077] Step S300: Based on the characteristic intention data and in combination with the information association data, the data interaction status of the user for different freeze-dried data information in the current period is analyzed to obtain the system recommendation data of the user;

[0078] Wherein, step S300 includes:

[0079] Step S301: obtaining each characteristic intention freeze-dried information type of the user from the characteristic intention data of the user, and obtaining a plurality of interactively associated information types in each characteristic intention freeze-dried information type based on the information association data of the user, and when another freeze-dried information type in the plurality of interactively associated information types is not a characteristic-affecting freeze-dried information type, eliminating the other freeze-dried information type from the plurality of interactively associated information types, and recording the retained interactively associated information types as target interactively associated information types of each characteristic intention freeze-dried information type in the current cycle;

[0080] Step S302: obtaining and aggregating target interactively associated information types of each characteristic intention freeze-dried information type of the user in the current period to obtain system recommendation data for the user;

[0081] Step S400: Based on the system recommendation data, freeze-drying related data in the freeze-drying system platform are sequentially displayed to the user, and the freeze-drying production process is intelligently managed according to the user's control data on the freeze-drying system platform;

[0082] Wherein, step S400 includes:

[0083] Step S401: obtaining the preset display quantity L of the marked information type on the freeze-drying system platform when the user logs in to the freeze-drying system platform for the first time in the current period, obtaining the characteristic data intention value of the user for each characteristic intention freeze-drying information type, and selecting L characteristic intention freeze-drying information types from each characteristic intention freeze-drying information type according to the size of the characteristic data intention value as the marked target freeze-drying information type of the user on the freeze-drying system platform in the current period;

[0084] Step S402: when the user logs in to the freeze-drying system platform in the current cycle, content recommendation is displayed to the user, and according to the control data of the user on the freeze-drying system platform, corresponding adjustments are made to the freeze-drying production process controlled by the freeze-drying system platform;

[0085] The specific process of presenting content recommendations to users in step S402 includes:

[0086] The freeze-dried information content related to the marked target freeze-dried information type is displayed to the user, and a marked target freeze-dried information type for which the user performs human-computer interaction when controlling the freeze-drying system on the freeze-drying system platform is obtained; based on the user's system recommendation data, the freeze-dried information content of a target interactively associated information type of a marked target freeze-dried information type is recommended to the user on the freeze-drying system platform.

[0087] 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.

[0088] 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. A freeze-drying system control method based on human-computer interaction, characterized in that: The method comprises: Step S100: obtaining the historical information browsing records of the user on the freeze-drying system platform, extracting the characteristic browsing data of the user from the historical information browsing records, and analyzing the data intention states of the user on different freeze-drying related data in the freeze-drying system platform to obtain the characteristic intention data of the user; Step S200: obtaining historical interaction records of the user in the freeze-drying system platform, extracting characteristic interaction information of the user from the historical interaction records, and analyzing the interaction correlation between various types of freeze-drying information when the user performs human-computer interaction on the freeze-drying system platform, to obtain information correlation data of the user; The step S200 includes: Step S201: setting a unit time, monitoring the interactive behavior of the user in the freeze-drying system platform every unit time, obtaining a historical interaction record of the user on the freeze-drying system platform, and obtaining characteristic interaction information of the user on the freeze-drying system platform from the historical interaction record, wherein the characteristic interaction information includes a time point when the user starts to interact with various types of freeze-drying information on the freeze-drying system platform; Step S202: Obtain the duration of the distance between each historical interaction record of the user and the current cycle, and obtain the maximum value T of the distance between each historical interaction record and the current cycle. △,max , calculate the marking time factor of each historical interaction record of the user, where the marking time factor Y of the bth historical interaction record of the user is b =T △,max / (T △,max +T △,b ), T △,b is the duration between the bth historical interaction record and the current period; Step S203: sorting the various types of freeze-dried information interacted by the user in the historical interaction record in chronological order based on the time points at which the user interactively controlled the various types of freeze-dried information in the historical interaction record to obtain a freeze-dried information interaction set of the historical interaction record; Step S204: randomly selecting a certain type of freeze-dried information and another type of freeze-dried information from the freeze-dried information interaction set of each historical interaction record, and obtaining a marked historical interaction record of the certain type of freeze-dried information and the other type of freeze-dried information; Step S205: obtaining each mark history interaction record between the one type of freeze-dried information type and the other type of freeze-dried information type, obtaining the total number of interactive effects of the one type of freeze-dried information type on the other type of freeze-dried information type in each mark history interaction record, and calculating the mark interaction order value between the one type of freeze-dried information type and the other type of freeze-dried information type; Step S206: Based on the marked interaction order values ​​of the one type of freeze-dried information type and the other type of freeze-dried information type, analyzing the correlation between the one type of freeze-dried information type and the other type of freeze-dried information type when the user interacts on the freeze-drying system platform, acquiring and collecting various types of freeze-dried information types that are correlated when the user interacts with the freeze-drying system platform, and obtaining information correlation data of the user; The specific process of obtaining the mark history interaction record of the one type of freeze-dried information and the other type of freeze-dried information in step S204 includes: Randomly select a certain type of freeze-dried information and another type of freeze-dried information from the freeze-dried information interaction set of a certain historical interaction record in each of the historical interaction records; when the interaction order of the certain type of freeze-dried information and the other type of freeze-dried information are adjacent in a certain freeze-dried information interaction set, and the interaction order of the certain type of freeze-dried information is less than the interaction order of the other type of freeze-dried information, record it as the number of interaction impacts between the certain type of freeze-dried information and the other type of freeze-dried information in the certain freeze-dried information interaction set, and record the certain historical interaction record as a marked historical interaction record between the certain type of freeze-dried information and the other type of freeze-dried information; The specific calculation process of the mark interaction order value of the one type of freeze-dried information type and the other type of freeze-dried information type in step S205 includes: Calculate the mark interaction order value P of the one type of freeze-dried information and the other type of freeze-dried information: ， Among them, Y △ x is the marking time factor of the xth marking history interaction record between the one type of freeze-dried information and the other type of freeze-dried information; F x is the total number of interactive effects of the one type of freeze-dried information on the other type of freeze-dried information in the freeze-dried information interaction set of the xth marked historical interaction record; j is the total number of marked historical interaction records between the one type of freeze-dried information and the other type of freeze-dried information; The specific process of analyzing the correlation between the one type of freeze-dried information type and the other type of freeze-dried information type when the user interacts on the freeze-drying system platform in step S206 includes: When the marked interaction order value of the one type of freeze-dried information type and the other type of freeze-dried information type is greater than a preset marked interaction order threshold, it is determined that the one type of freeze-dried information type and the other type of freeze-dried information type are associated when the user interacts with the freeze-drying system platform, and the other type of freeze-dried information type is recorded as the interactively associated freeze-dried information type of the one type of freeze-dried information type; Step S300: Based on the characteristic intention data and in combination with the information association data, analyzing the data interaction status of the user for different freeze-dried data information in the current period, and obtaining the system recommendation data of the user; Step S400: Based on the system recommendation data, the freeze-drying related data in the freeze-drying system platform are sequentially displayed to the user, and the freeze-drying production process is intelligently managed according to the user's control data on the freeze-drying system platform.

2. A freeze-drying system control method based on human-computer interaction according to claim 1, characterized in that: The step S100 includes: Step S101: obtaining historical information browsing records of the user in the freeze-drying system platform, and extracting characteristic browsing data of the user from the historical information browsing records, wherein the characteristic browsing data includes the total browsing time of the user browsing various types of freeze-drying information in the freeze-drying system platform; Step S102: Obtain the distance between the historical information browsing record and the current period, obtain the browsing time of each type of freeze-dried information by the user in the historical information browsing record, and calculate the characteristic user intention value of the user for each freeze-dried information type in the historical information browsing record, wherein the characteristic user intention value W of the user for the a-th type of freeze-dried information in the historical information browsing record is a =t a / t sum , t a is the browsing time of the user for the freeze-dried information type a in the historical information browsing record, t sum The total browsing time of each type of freeze-dried information by the user in the historical information browsing record; Step S103: Obtain the time length of the distance between each historical information browsing record of the user and the current cycle, and obtain the maximum value T of the time length of the distance between each historical information browsing record of the user and the current cycle max , calculate the user's intention value of the characteristic data of each type of freeze-dried information, where the user's intention value of the characteristic data of the a-th type of freeze-dried information is Q a : ， Where n is the total number of historical information browsing records containing the a-th type of freeze-drying information in the freeze-drying system platform; W a,i is the characteristic user intention value of the user for the a-th type of freeze-dried information in the i-th historical information browsing record; T a i is the time length between the i-th historical information browsing record of the user containing the a-th type of freeze-dried information and the current period; Step S104: Setting a characteristic data intention threshold. When the user's characteristic data intention value for the a-th freeze-dried information type is greater than the characteristic data intention threshold, the a-th freeze-dried information type is determined to be the user's intention data, and the a-th freeze-dried information type is recorded as the user's characteristic intention freeze-dried information type. The user's various characteristic intention freeze-dried information types are obtained and aggregated to obtain the user's characteristic intention data.

3. A freeze-drying system control method based on human-computer interaction according to claim 2, characterized in that: The process of acquiring the historical information browsing record in step S101 includes: The identity of the user on the freeze-drying system platform is obtained, and a characteristic unit duration is set. When the user uses the identity to control the freeze-drying production and processing process on the freeze-drying system platform, the browsing behavior of the user on the freeze-drying system platform is monitored, and the information content browsed by the user on the freeze-drying system platform is collected to obtain the user's historical information browsing record, wherein the interval duration between two adjacent historical information browsing records of the user is greater than the characteristic unit duration.

4. A freeze-drying system control method based on human-computer interaction according to claim 3, characterized in that: The step S300 includes: Step S301: acquiring each characteristic intention freeze-dried information type of the user from the characteristic intention data of the user, acquiring a plurality of interactively associated information types in the each characteristic intention freeze-dried information type based on the information association data of the user, and when another freeze-dried information type in the plurality of interactively associated information types is not a characteristic-affecting freeze-dried information type, eliminating the other freeze-dried information type from the plurality of interactively associated information types, and recording the retained interactively associated information type as the target interactively associated information type of each characteristic intention freeze-dried information type in the current cycle; Step S302: Obtain and aggregate target interactively associated information types of each characteristic intention freeze-dried information type of the user in the current period to obtain system recommendation data for the user.

5. A freeze-drying system control method based on human-computer interaction according to claim 4, characterized in that: The step S400 includes: Step S401: obtaining a display quantity L of the preset marked information types on the freeze-drying system platform when the user logs in to the freeze-drying system platform for the first time in the current period, obtaining the characteristic data intention value of the user for each characteristic intention freeze-drying information type, and selecting L characteristic intention freeze-drying information types from each characteristic intention freeze-drying information type according to the size of the characteristic data intention value as the marked target freeze-drying information type of the user on the freeze-drying system platform in the current period; Step S402: when the user logs into the freeze-drying system platform in the current cycle, content recommendations are displayed to the user, and according to the control data of the user on the freeze-drying system platform, corresponding adjustments are made to the freeze-drying production process controlled by the freeze-drying system platform.

6. A freeze-drying system control method based on human-computer interaction according to claim 5, characterized in that: The specific process of presenting content recommendations to the user in step S402 includes: The freeze-dried information content related to the marked target freeze-dried information type is displayed to the user, and a certain marked target freeze-dried information type for human-computer interaction by the user when the user controls the freeze-drying system on the freeze-drying system platform is obtained; based on the system recommendation data of the user, the freeze-dried information content of the target interactively associated information type of the certain marked target freeze-dried information type is recommended to the user on the freeze-drying system platform.

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