Intelligent regulation and control method, system and equipment for heat preservation effect of heat preservation cup

Abstract

The invention relates to the technical field of vacuum cups, and provides an intelligent regulation and control method, system and equipment for the heat preservation effect of a vacuum cup, and the method comprises the following steps: obtaining order information associated with the vacuum cup, and extracting multi-dimensional feature parameters in the order information; according to the multi-dimensional characteristic parameters, an initial heat preservation effect regulation and control decision parameter set is obtained; in response to a regulation and control instruction input by a user, optimizing the initial heat preservation effect regulation and control decision parameter group to obtain an optimal heat preservation effect regulation and control decision parameter group; intelligent regulation and control of the heat preservation effect of the vacuum cup are achieved according to the optimal heat preservation effect regulation and control decision parameter set. According to the method, the initial heat preservation effect regulation and control decision parameter set is obtained by extracting the multi-dimensional characteristic parameters in the order information, the initial heat preservation effect regulation and control decision parameter set is optimized to obtain the optimal heat preservation effect regulation and control decision parameter set, and finally intelligent regulation and control of the heat preservation effect of the vacuum cup are achieved. And the heat preservation effect of the vacuum cup is more intelligent and humanized.

Description

Technical Field

[0001] The present invention relates to the technical field of heat-preserving cups, and more specifically, to an intelligent control method, system and device for the heat-preserving effect of a heat-preserving cup. Background Art

[0002] A heat-preserving cup is usually made of ceramic or stainless steel, contains a vacuum layer inside, and is equipped with a tightly sealed lid at the top for holding water or other liquids. The design of the vacuum heat-insulating layer can effectively delay the heat dissipation of the liquid in the container, thereby achieving the effect of heat preservation. The heat-preserving cup evolved from a thermos flask, and its heat-preserving principle is similar to that of a thermos flask, but for the sake of convenience, the shape of the bottle is changed into a cup shape.

[0003] During the use of a heat-preserving cup, in order to achieve a longer heat-preserving effect, it is necessary to add hot water as hot as possible. When the user drinks water using the heat-preserving cup, the water in the cup needs to reach a suitable drinking temperature faster. Therefore, when the user drinks water without knowing the water temperature in the cup, they usually can only sense the water temperature with their lips, and actually often drink very hot water, resulting in burns to the lips. In order to timely understand the water temperature inside the heat-preserving cup and avoid burns when the user drinks water using the heat-preserving cup, some heat-preserving cups on the current market are internally equipped with temperature-measuring devices, which measure the real-time temperature inside the cup through this temperature-measuring device for the user to refer to and avoid burns.

[0004] In order to solve the problem that the heat-preserving cup cannot keep the water in the heat-preserving cup at the temperature desired by the user and cannot achieve true temperature control, the Chinese invention patent with the application number CN202310244239.2 discloses a heat-preserving cup temperature control method, system, storage medium and intelligent terminal, which has the effect of adjusting in real time according to the temperature, so as to reach the temperature desired by the user, achieve true temperature control, and improve the temperature control adjustability of the heat-preserving cup. However, this heat-preserving cup temperature control method does not optimize the temperature control command according to the multi-dimensional parameters in the order, and the degree of intelligence needs to be further improved. Summary of the Invention

[0005] Based on this, in order to solve the problem that the existing heat-preserving cup temperature control method does not correct the temperature control command according to the environmental parameters and the degree of intelligence needs to be further improved, the present invention provides an intelligent control method, system and device for the heat-preserving effect of a heat-preserving cup, which obtains the initial heat-preserving effect control decision parameter group by extracting the multi-dimensional characteristic parameters in the order information, optimizes the initial heat-preserving effect control decision parameter group to obtain the optimal heat-preserving effect control decision parameter group, and finally realizes the intelligent control of the heat-preserving effect of the heat-preserving cup, making the heat-preserving effect of the heat-preserving cup more intelligent and user-friendly. The specific technical solutions are as follows:

[0006] An intelligent control method for the heat-preserving effect of a heat-preserving cup, which includes the following steps:

[0007] Obtain the order information associated with the thermos cup, and extract the multi-dimensional characteristic parameters in the order information;

[0008] Obtain the initial heat preservation effect regulation decision parameter group according to the multi-dimensional characteristic parameters;

[0009] In response to the regulation instruction input by the user, optimize the initial heat preservation effect regulation decision parameter group to obtain the optimal heat preservation effect regulation decision parameter group;

[0010] Realize the intelligent regulation of the heat preservation effect of the thermos cup according to the optimal heat preservation effect regulation decision parameter group.

[0011] The intelligent regulation method of the heat preservation effect of the thermos cup obtains the initial heat preservation effect regulation decision parameter group by extracting the multi-dimensional characteristic parameters in the order information, optimizes the initial heat preservation effect regulation decision parameter group to obtain the optimal heat preservation effect regulation decision parameter group, and finally realizes the intelligent regulation of the heat preservation effect of the thermos cup, making the heat preservation effect of the thermos cup more intelligent and user-friendly. It solves the problem that the existing temperature control method of the thermos cup does not correct the temperature regulation instruction according to the environmental parameters, and the degree of intelligence needs to be further improved.

[0012] Preferably, the specific method for obtaining the initial heat preservation effect regulation decision parameter group according to the multi-dimensional characteristic parameters includes the following steps:

[0013] Construct a heat preservation effect regulation decision parameter model and obtain an initial parameter correction factor;

[0014] Obtain the initial heat preservation effect regulation decision parameter group according to the multi-dimensional characteristic parameters, the heat preservation effect regulation decision parameter model and the initial parameter correction factor.

[0015] Preferably, the heat preservation effect regulation decision parameters include the target heat preservation temperature, the lowest heat preservation temperature, the highest heat preservation temperature and the heating rate, and the initial heat preservation effect regulation decision parameter group includes the initial target heat preservation temperature, the initial lowest heat preservation temperature, the highest heat preservation temperature and the initial heating rate.

[0016] Preferably, the specific method for extracting the multi-dimensional characteristic parameters in the order information includes the following steps:

[0017] Preset multiple keywords;

[0018] Based on the multiple keywords, traverse the order information and extract the multi-dimensional characteristic parameters in the order information.

[0019] An intelligent regulation system for the heat preservation effect of a thermos cup, which is used to implement the intelligent regulation method for the heat preservation effect of the thermos cup, includes:

[0020] A feature parameter acquisition module, configured to acquire order information associated with the thermos cup and extract multi-dimensional feature parameters from the order information;

[0021] An initial decision parameter acquisition module, configured to acquire an initial heat preservation effect regulation decision parameter group according to the multi-dimensional feature parameters;

[0022] A decision parameter optimization module, configured to optimize the initial heat preservation effect regulation decision parameter group in response to a regulation instruction input by a user, and acquire an optimal heat preservation effect regulation decision parameter group;

[0023] An intelligent regulation module, configured to implement intelligent regulation of the heat preservation effect of the thermos cup according to the optimal heat preservation effect regulation decision parameter group.

[0024] Preferably, the initial decision parameter acquisition module includes:

[0025] An initial correction factor acquisition unit, configured to construct a heat preservation effect regulation decision parameter model and acquire an initial parameter correction factor;

[0026] An initial decision parameter acquisition unit, configured to acquire an initial heat preservation effect regulation decision parameter group according to the multi-dimensional feature parameters, the heat preservation effect regulation decision parameter model, and the initial parameter correction factor.

[0027] Preferably, the heat preservation effect regulation decision parameters include a target heat preservation temperature, a minimum heat preservation temperature, a maximum heat preservation temperature, and a heating rate, and the initial heat preservation effect regulation decision parameter group includes an initial target heat preservation temperature, an initial minimum heat preservation temperature, a maximum heat preservation temperature, and an initial heating rate.

[0028] Preferably, the feature parameter acquisition module includes:

[0029] A keyword acquisition unit, configured to preset a plurality of keywords;

[0030] A feature parameter acquisition unit, configured to traverse the order information based on the plurality of keywords and extract multi-dimensional feature parameters from the order information.

[0031] An intelligent regulation device for the heat preservation effect of a thermos cup, which includes:

[0032] A controller;

[0033] A memory, storing executable instructions;

[0034] Wherein, the executable instructions can run on the controller and implement the intelligent regulation method for the heat preservation effect of the thermos cup. Description of the Drawings

[0035] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but the emphasis is on showing the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0036] Figure 1 is a schematic diagram of the overall process of the intelligent regulation method for the heat preservation effect of a heat-insulated cup in an embodiment of the present invention;

[0037] Figure 2 is a schematic diagram of the process of the specific method for extracting multi-dimensional characteristic parameters in the order information in an embodiment of the present invention.

[0038] Figure 3 is a schematic diagram of the process of the specific method for obtaining the initial heat preservation effect regulation decision parameter group in an embodiment of the present invention;

[0039] Figure 4 is a schematic diagram of the overall structure of an intelligent regulation system for the heat preservation effect of a heat-insulated cup in an embodiment of the present invention. Detailed implementation manners

[0040] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation manners described herein are only used to explain the present invention and do not limit the protection scope of the present invention.

[0041] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are only for the purpose of illustration and do not represent the only implementation manners.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific implementation manners and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0043] The "first" and "second" mentioned in the present invention do not represent specific quantities and orders, but are only used for name distinction.

[0044] As Figure 1 shown, an intelligent regulation method for the heat preservation effect of a heat-insulated cup in an embodiment of the present invention includes the following steps:

[0045] S1. Obtain the order information associated with the thermos cup and extract the multi-dimensional characteristic parameters in the order information.

[0046] Preferably, as Figure 2 shown, in step S1, the specific method for extracting the multi-dimensional characteristic parameters in the order information includes the following steps:

[0047] S11. Preset multiple keywords.

[0048] The multiple keywords can be set by technicians. Preferably, based on big data technology, several words or phrases with a frequency greater than a preset frequency threshold are captured from multiple order information associated with thermos cups as the keywords. In this way, the multi-dimensional characteristic parameters extracted based on the keywords are more in line with the actual situation. At the same time, the initial heat preservation effect regulation decision parameter group obtained according to the multi-dimensional characteristic parameters can meet most thermos cup users, and initially improve the intelligence and humanization of thermos cup heat preservation effect regulation.

[0049] S12. Based on the multiple keywords, traverse the order information associated with the thermos cup and extract the multi-dimensional characteristic parameters in the order information.

[0050] For thermos cups sold offline, preferably, the method for obtaining multiple keywords includes: determining the sales location of the offline sold thermos cup, taking the sales location as the center, and obtaining the sales order information of multiple sales areas with different radius ranges; obtaining multiple keywords with a frequency greater than the preset frequency threshold in the sales order information of different radius range sales areas, and assigning corresponding weight values to the keywords corresponding to each radius range sales area; according to the formula j = 1, 2, …, m to calculate the frequency weighted average value of the jth keyword, and use the keyword with a frequency weighted average value greater than the preset frequency threshold as the final multiple keywords. Wherein, n represents the total number of multiple sales areas with different radius ranges, kw i represents the weight value of the jth keyword in the ith sales area, kwfq i represents the frequency of the jth keyword in the sales order information of the ith sales area, and m represents the total number of keywords.

[0051] For a certain thermos cup ordered by a user through an online shopping platform, N keywords can be preset, and based on the N keywords, traverse the order information of this thermos cup and extract the multi-dimensional characteristic parameters. Specifically, taking the delivery address of this order as the center of the sales location, obtain the sales order information of multiple sales areas with different radius ranges; obtain multiple keywords with a frequency greater than the preset frequency threshold in the sales order information of different radius range sales areas, and assign corresponding weight values to the keywords corresponding to each radius range sales area; according to the formula For \(j = 1, 2, \ldots, m\), calculate the frequency-weighted average value of the \(j\)th keyword, and use the keywords with the frequency-weighted average value greater than the preset frequency threshold as the final multiple keywords. Here, \(n\) represents the total number of sales regions with different radius ranges, \(kw\) i represents the weight value of the \(j\)th keyword in the \(i\)th sales region, \(kwfq\) i represents the frequency of the \(j\)th keyword in the sales order information of the \(i\)th sales region, and \(m\) represents the total number of keywords.

[0052] The multi-dimensional characteristic parameters include but are not limited to gender, age, occupation, and personality preferences. Further, based on the keywords, traverse the order information associated with the thermos cup, such as user information, order basic information, commodity information, logistics information, note information, etc., and extract the multi-dimensional characteristic parameters in the order information. In a certain case, it can be understood that the multi-dimensional characteristic parameters correspond one-to-one with multiple keywords, and the characteristic parameters of a certain dimension are the frequency-weighted average values of the corresponding keywords extracted by traversing the order information associated with the thermos cup.

[0053] In this way, through For \(j = 1, 2, \ldots, m\), calculate the frequency-weighted average value of the \(j\)th keyword, and use the keywords with the frequency-weighted average value greater than the preset frequency threshold as the final multiple keywords. Combining with the order situation of the sales regions with different radius ranges at the specific sales location, finally, based on the multiple keywords, the multi-dimensional characteristic parameters extracted by traversing the order information associated with the thermos cup are more representative.

[0054] S2. Obtain the initial heat preservation effect regulation decision parameter group according to the multi-dimensional characteristic parameters.

[0055] The heat preservation effect regulation decision parameters include but are not limited to the target heat preservation temperature, the lowest heat preservation temperature, the highest heat preservation temperature, and the heating rate. The initial heat preservation effect regulation decision parameter group includes the initial target heat preservation temperature, the initial lowest heat preservation temperature, the highest heat preservation temperature, and the initial heating rate. The target heat preservation temperature corresponds to the target temperature of the drinking water required by the thermos cup user, the lowest heat preservation temperature corresponds to the lowest temperature of the drinking water required by the thermos cup user, and the highest heat preservation temperature corresponds to the highest temperature of the drinking water required by the thermos cup user.

[0056] Preferably, as Figure 3 shown, in step S2, the specific method for obtaining the initial heat preservation effect regulation decision parameter group according to the multi-dimensional characteristic parameters includes the following steps:

[0057] S21. Construct a heat preservation effect regulation decision parameter model and obtain the initial parameter correction factor.

[0058] The thermal insulation effect regulation decision parameter model can be understood as a relational function with multi-dimensional characteristic parameters and an initial parameter correction factor as independent variables and an initial thermal insulation effect regulation decision parameter as the dependent variable.

[0059] Specifically, for each thermal insulation effect regulation decision parameter, there corresponds an initial preset thermal insulation parameter value T'. The specific method for obtaining the initial parameter correction factor is as follows: Obtain the receipt time when the user gets the thermos cup as the usage time of the thermos cup, and based on the usage time, obtain the daily average temperature T1 within the preset time period at the sales location; Set the initial target thermal insulation temperature T2, and obtain the initial parameter correction factor δ = T1 * α i / T2; where α i represents the adjustment coefficient of the initial parameter correction factor of the i-th type. The types of initial parameters include four types: initial target thermal insulation temperature, initial minimum thermal insulation temperature, maximum thermal insulation temperature, and initial heating rate.

[0060] S22. Obtain the initial thermal insulation effect regulation decision parameter group according to the multi-dimensional characteristic parameters, the thermal insulation effect regulation decision parameter model, and the initial parameter correction factor.

[0061] The method for obtaining a certain type of initial thermal insulation effect regulation decision parameter includes: presetting the characteristic parameter standard value and the correction weight value ΔD corresponding to each dimension characteristic parameter i , and respectively calculating the characteristic parameter ratio value D between each dimension characteristic parameter and the corresponding characteristic parameter standard value i , and a certain type of initial thermal insulation effect regulation decision parameter Finally, obtain the initial thermal insulation effect regulation decision parameter group by respectively calculating each type of initial thermal insulation effect regulation decision parameter.

[0062] Obtaining the initial thermal insulation effect regulation decision parameter group according to the multi-dimensional characteristic parameters, the thermal insulation effect regulation decision parameter model, and the initial parameter correction factor, based on big data technology, using the keywords in the order information of multiple thermos cup users, combined with the order situation in the sales areas with different radius ranges at the specific sales location, can further improve the intelligent acquisition degree of the initial thermal insulation effect regulation decision parameter group, making the initial thermal insulation effect regulation decision parameter group more in line with the drinking habits of most users.

[0063] S3. In response to the regulation instruction input by the user, optimize the initial thermal insulation effect regulation decision parameter group to obtain the optimal thermal insulation effect regulation decision parameter group.

[0064] The control instructions input by the user include information such as the target heat preservation temperature, the minimum heat preservation temperature, the maximum heat preservation temperature, the heating rate, and whether to adjust the decision parameters of the heat preservation effect control. If the user selects not to adjust the decision parameters of the heat preservation effect control (here, a control instruction input unit can be set in the thermos cup to obtain the control instructions input by the user, and the control instruction input unit includes but is not limited to a touch screen, physical buttons, and a wireless receiving module for receiving the control instructions input by the user), then the initial heat preservation effect control decision parameter group is used as the optimal heat preservation effect control decision parameter group.

[0065] If the user needs to adjust the decision parameters of the heat preservation effect control and re-sets the target heat preservation temperature, the minimum heat preservation temperature, the maximum heat preservation temperature, or the heating rate, then in the initial heat preservation effect control decision parameter group, update the corresponding decision parameters in the initial heat preservation effect control decision parameter group according to the user's settings, and use the updated heat preservation effect control decision parameter group as the optimal heat preservation effect control decision parameter group.

[0066] S5. Implement intelligent control of the heat preservation effect of the thermos cup according to the optimal heat preservation effect control decision parameter group.

[0067] In summary, the intelligent control method for the heat preservation effect of the thermos cup obtains the initial heat preservation effect control decision parameter group by extracting multi-dimensional characteristic parameters in the order information, optimizes the initial heat preservation effect control decision parameter group to obtain the optimal heat preservation effect control decision parameter group, and finally realizes the intelligent control of the heat preservation effect of the thermos cup, making the heat preservation effect of the thermos cup more intelligent and user-friendly. It solves the problem that the existing temperature control method for thermos cups does not correct the temperature control instructions according to environmental parameters, and the degree of intelligence needs to be further improved. In addition,

[0068] As Figure 4 shown, the present invention also provides an intelligent control system for the heat preservation effect of a thermos cup, which is used to implement the intelligent control method for the heat preservation effect of the thermos cup, and includes a characteristic parameter acquisition module, an initial decision parameter acquisition module, a decision parameter optimization module, and an intelligent control module.

[0069] The thermos cup can be made of ceramic or stainless steel, contains a vacuum layer inside, and is provided with a tightly sealed lid at the top for containing water or other liquids. A heating module controlled by the intelligent control module is installed inside the thermos cup. The intelligent control module realizes the heating rate of the thermos cup by controlling the working state of the heating module, such as the heating current and the heating power. In addition, a temperature sensing element, such as a temperature sensor, is also provided inside the thermos cup to sense the temperature of the liquid inside the thermos cup and feedback it to the intelligent control module. The intelligent control module controls the working state of the heating module according to the temperature signal fed back by the temperature sensing element, and realizes the control of decision parameters such as the minimum heat preservation temperature, the maximum heat preservation temperature, and the target heat preservation temperature.

[0070] The feature parameter acquisition module is used to acquire order information associated with the thermos cup and extract multi-dimensional feature parameters from the order information; the initial decision parameter acquisition module is used to acquire an initial heat preservation effect regulation decision parameter group according to the multi-dimensional feature parameters; the decision parameter optimization module is used to optimize the initial heat preservation effect regulation decision parameter group in response to a regulation instruction input by the user to obtain an optimal heat preservation effect regulation decision parameter group; the intelligent regulation module is used to realize intelligent regulation of the heat preservation effect of the thermos cup according to the optimal heat preservation effect regulation decision parameter group.

[0071] Preferably, the initial decision parameter acquisition module includes an initial correction factor acquisition unit and an initial decision parameter acquisition unit.

[0072] The initial correction factor acquisition unit is used to construct a heat preservation effect regulation decision parameter model and obtain an initial parameter correction factor; the initial decision parameter acquisition unit is used to obtain an initial heat preservation effect regulation decision parameter group according to the multi-dimensional feature parameters, the heat preservation effect regulation decision parameter model, and the initial parameter correction factor.

[0073] The heat preservation effect regulation decision parameters include a target heat preservation temperature, a minimum heat preservation temperature, a maximum heat preservation temperature, and a heating rate, and the initial heat preservation effect regulation decision parameter group includes an initial target heat preservation temperature, an initial minimum heat preservation temperature, a maximum heat preservation temperature, and an initial heating rate.

[0074] The heat preservation effect regulation decision parameter model can be understood as a relationship function with multi-dimensional feature parameters and an initial parameter correction factor as independent variables and an initial heat preservation effect regulation decision parameter as the dependent variable.

[0075] Specifically, for each heat preservation effect regulation decision parameter, there corresponds an initial preset heat preservation parameter value T'. The specific method for obtaining the initial parameter correction factor is: obtain the receiving time when the user obtains the thermos cup as the usage time of the thermos cup, and obtain the daily average temperature T1 within a preset time period at the sales location based on the usage time; set the initial target heat preservation temperature T2, and obtain the initial parameter correction factor δ = T1 * α i / T2; where α i represents the adjustment coefficient of the i-th type of initial parameter correction factor, and the types of initial parameters include four types: initial target heat preservation temperature, initial minimum heat preservation temperature, maximum heat preservation temperature, and initial heating rate.

[0076] The acquisition method of a certain type of initial heat preservation effect regulation decision parameter includes: presetting a characteristic parameter standard value and a correction weight value ΔD corresponding to each dimension characteristic parameter i, calculate the characteristic parameter ratio value D between each dimensional characteristic parameter and the corresponding standard value of the characteristic parameter respectively i , a certain type of initial heat preservation effect regulation decision parameter By calculating the initial heat preservation effect regulation decision parameters of each type respectively, an initial heat preservation effect regulation decision parameter group is finally obtained.

[0077] According to the multi-dimensional characteristic parameters, the heat preservation effect regulation decision parameter model and the initial parameter correction factor, an initial heat preservation effect regulation decision parameter group is obtained. Based on big data technology, using the keywords in the order information of multiple thermos cup users, combined with the order situation in the sales areas with different radius ranges at the specific sales location, the intelligent acquisition degree of the initial heat preservation effect regulation decision parameter group can be further improved, making the initial heat preservation effect regulation decision parameter group more in line with the drinking habits of most users.

[0078] The characteristic parameter acquisition module includes a keyword acquisition unit and a characteristic parameter acquisition unit. The keyword acquisition unit is used to preset multiple keywords; the characteristic parameter acquisition unit is used to traverse the order information based on the multiple keywords and extract the multi-dimensional characteristic parameters in the order information.

[0079] Preferably, based on big data technology, several words or phrases with a frequency greater than the preset frequency threshold are captured from multiple order information associated with thermos cups as the keywords. In this way, the multi-dimensional characteristic parameters extracted based on the keywords are more in line with the actual situation. At the same time, the initial heat preservation effect regulation decision parameter group obtained according to the multi-dimensional characteristic parameters can conform to most thermos cup users, initially improving the intelligence and humanization of thermos cup heat preservation effect regulation.

[0080] For the thermos cups sold offline, the method for obtaining multiple keywords includes: determining the sales location of the offline sold thermos cups, taking the sales location as the center, and obtaining the sales order information of multiple sales areas with different radius ranges; obtaining multiple keywords with a frequency greater than the preset frequency threshold in the sales order information of the sales areas with different radius ranges, and assigning corresponding weight values to the keywords corresponding to each radius range sales area; according to the formula j = 1, 2,..., m, calculate the frequency weighted average value of the jth keyword, and use the keyword with a frequency weighted average value greater than the preset frequency threshold as the final multiple keywords. Wherein, n represents the total number of multiple sales areas with different radius ranges, kw i represents the weight value of the jth keyword in the ith sales area, kwfq i represents the frequency of the jth keyword in the sales order information of the ith sales area, and m represents the total number of keywords.

[0081] For a certain thermos cup ordered by a user through an online shopping platform, N keywords can also be preset, and based on the N keywords, the order information of this thermos cup can be traversed to extract multi-dimensional characteristic parameters. Specifically, taking the delivery address of the order as the center of the sales location, the sales order information of multiple sales regions with different radius ranges is obtained; multiple keywords with frequencies greater than a preset frequency threshold are obtained from the sales order information of sales regions with different radius ranges, and corresponding weight values are assigned to the keywords corresponding to each sales region with a radius range; according to the formula j = 1, 2, …, m, calculate the frequency-weighted average value of the j-th keyword, and use the keywords with frequency-weighted average values greater than the preset frequency threshold as the final multiple keywords. Among them, n represents the total number of sales regions with different radius ranges, kw i represents the weight value of the j-th keyword in the i-th sales region, kwfq i represents the frequency of the j-th keyword in the sales order information of the i-th sales region, and m represents the total number of keywords.

[0082] In this way, by j = 1, 2, …, m, calculate the frequency-weighted average value of the j-th keyword, and use the keywords with frequency-weighted average values greater than the preset frequency threshold as the final multiple keywords. Combining the order situations of sales regions with different radius ranges at the specific sales location, finally, based on the multiple keywords, the multi-dimensional characteristic parameters extracted by traversing the order information associated with the thermos cup are more representative.

[0083] The present invention also provides an intelligent control device for the heat preservation effect of a thermos cup, which includes: a controller; a memory storing executable instructions; wherein, the executable instructions can run on the controller and implement the intelligent control method for the heat preservation effect of the thermos cup described above.

[0084] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brief description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0085] The above-described embodiments only represent several implementation manners of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent should be subject to the appended claims.

Claims

1. A method for intelligently controlling the heat preservation effect of a thermos cup, characterized in that: The method for intelligently controlling the heat preservation effect of a thermos cup comprises the following steps: Obtaining order information associated with the thermos cup, and extracting multi-dimensional feature parameters in the order information; Obtaining an initial thermal insulation effect control decision parameter group according to the multi-dimensional characteristic parameters; In response to the control instruction input by the user, the initial thermal insulation effect control decision parameter group is optimized to obtain the optimal thermal insulation effect control decision parameter group; Intelligent regulation of the thermal insulation effect of the thermos cup is achieved according to the optimal thermal insulation effect regulation decision parameter group.

2. The intelligent control method for the heat preservation effect of a thermos cup according to claim 1, characterized in that: The specific method for obtaining the initial thermal insulation effect control decision parameter group according to the multi-dimensional characteristic parameters comprises the following steps: Construct a thermal insulation effect control decision parameter model and obtain the initial parameter correction factor; An initial thermal insulation effect regulation decision parameter group is obtained according to the multi-dimensional characteristic parameters, the thermal insulation effect regulation decision parameter model and the initial parameter correction factor.

3. The intelligent control method for the heat preservation effect of a thermos cup according to claim 2, characterized in that: The insulation effect control decision parameters include target insulation temperature, minimum insulation temperature, maximum insulation temperature and heating rate, and the initial insulation effect control decision parameter group includes initial target insulation temperature, initial minimum insulation temperature, maximum insulation temperature and initial heating rate.

4. The intelligent control method for the heat preservation effect of a thermos cup according to claim 3, characterized in that: The specific method of extracting multi-dimensional feature parameters from order information includes the following steps: Preset multiple keywords; Based on the multiple keywords, the order information is traversed to extract multi-dimensional feature parameters in the order information.

5. An intelligent control system for the heat preservation effect of a thermos cup, used to implement the intelligent control method for the heat preservation effect of a thermos cup as claimed in any one of claims 1 to 4, characterized in that: The intelligent control system for the heat preservation effect of the thermos cup comprises: A feature parameter acquisition module, used to acquire order information associated with the thermos cup and extract multi-dimensional feature parameters in the order information; An initial decision parameter acquisition module, used to acquire an initial thermal insulation effect control decision parameter group according to the multi-dimensional characteristic parameters; A decision parameter optimization module is used to optimize the initial thermal insulation effect control decision parameter group in response to the control instruction input by the user to obtain the optimal thermal insulation effect control decision parameter group; The intelligent control module is used to realize intelligent control of the thermal insulation effect of the thermos cup according to the optimal thermal insulation effect control decision parameter group.

6. The intelligent control system for heat preservation effect of a thermos cup according to claim 5, characterized in that: The initial decision parameter acquisition module includes: An initial correction factor acquisition unit is used to construct a thermal insulation effect control decision parameter model and obtain an initial parameter correction factor; An initial decision parameter acquisition unit is used to acquire an initial thermal insulation effect regulation decision parameter group according to the multi-dimensional characteristic parameters, the thermal insulation effect regulation decision parameter model and the initial parameter correction factor.

7. The intelligent control system for heat preservation effect of a thermos cup according to claim 6, characterized in that: The insulation effect control decision parameters include target insulation temperature, minimum insulation temperature, maximum insulation temperature and heating rate, and the initial insulation effect control decision parameter group includes initial target insulation temperature, initial minimum insulation temperature, maximum insulation temperature and initial heating rate.

8. The intelligent control system for heat preservation effect of a thermos cup according to claim 7, characterized in that: The feature parameter acquisition module includes: A keyword acquisition unit, used to preset multiple keywords; The feature parameter acquisition unit is used to traverse the order information based on the multiple keywords and extract the multi-dimensional feature parameters in the order information.

9. An intelligent control device for the heat preservation effect of a thermos cup, characterized in that: The intelligent control equipment for the thermal insulation effect of the thermos cup includes: Controller; A memory storing executable instructions; Among them, the executable instructions can be run on the controller and implement the intelligent control method of the thermal insulation effect of the thermos cup as described in any one of claims 1 to 4.

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