A method and system for simulating dynamic assembly of blower auxiliary equipment

Abstract

The present application relates to a method and system for simulating dynamic assembly of blower auxiliary equipment, and relates to the technical field of computer software. It solves the problem that the cooling effect of the cooling device in assisting the blower in cooling is not as good as expected, which affects the normal operation of the blower. The method includes: predicting and obtaining the cooling device model that meets the blower working temperature range requirements based on the preset suitable blower working temperature range, the correspondence between different cooling device models and the blower cooling value, the preset correspondence between the blower at different ambient temperature values ​​and the maximum working temperature value, and the user-set ambient temperature range of the blower; listing the cooling device models predicted to meet the blower working temperature range requirements, and displaying the dynamic assembly process animation of the corresponding cooling device model. The present application has the following effects: effectively analyzing and confirming the cooling device that can assist the blower in achieving the required cooling effect, and assisting the blower to work normally within the appropriate working temperature range.

Description

Technical Field

[0001] The present application relates to the technical field of computer software, and in particular to a method and system for simulating dynamic assembly of blower auxiliary equipment. Background Art

[0002] In real life, blowers are widely used as mechanical equipment to improve the smelting efficiency of various smelting equipment. However, the heat dissipation efficiency of general blowers is insufficient, and they cannot dissipate heat from various internal heat-generating devices, resulting in a shortened service life of the blowers.

[0003] The existing method for solving the heat dissipation problem of the blower is mainly to add an auxiliary device, namely a heat dissipation device, to the rear end of the blower. The heat dissipation device blows air to the blower, which can dissipate heat and cool the blower during operation.

[0004] Currently, there is a software for simulating the dynamic assembly of blower cooling devices. Users can select appropriate cooling devices on the software according to their needs, and then simulate the dynamic assembly process of the corresponding model of cooling device, thus laying the foundation for subsequent actual assembly.

[0005] Regarding the above-mentioned related technologies, the inventors found the following defects: the operating temperature of the blower is actually affected by the external environment. When users choose a suitable cooling device, it is easy for subjective judgment factors to cause the selected cooling device to assist the blower in cooling down less than expected, affecting the normal operation of the blower. Summary of the Invention

[0006] In order to effectively analyze and confirm the cooling device that can assist the blower in achieving the required cooling effect and assist the blower to operate normally within the appropriate operating temperature range, the present application provides a method and system for simulating dynamic assembly of blower auxiliary equipment.

[0007] In a first aspect, the present application provides a method for simulating dynamic assembly of blower auxiliary equipment, which adopts the following technical solution:

[0008] A method for simulating dynamic assembly of blower auxiliary equipment, comprising:

[0009] Get the ambient temperature range of the blower set by the user;

[0010] Based on the preset suitable blower operating temperature range, the correspondence between different cooling device models and blower cooling values, the preset correspondence between the blower at different ambient temperature values ​​and the maximum operating temperature value, and the user-set ambient temperature range of the blower, the cooling device model that meets the blower operating temperature range requirements is predicted;

[0011] The predicted cooling device models that meet the blower operating temperature range requirements are listed, and the dynamic assembly process animation of the corresponding cooling device model is displayed.

[0012] By adopting the above technical solution, it is possible to effectively analyze and confirm the model of the cooling device that can assist the blower in achieving the required cooling effect based on the ambient temperature range of the blower set by the user and the appropriate operating temperature range of the corresponding blower, and display the dynamic assembly animation of the corresponding model of cooling device, so that the user can understand the assembly process and install the corresponding model of cooling device later.

[0013] Optionally, the user-set ambient temperature range for the blower can be obtained by:

[0014] Get the user's logged-in account information;

[0015] Based on the ambient temperature range of the blower set by the user's logged-in account information history, predict the ambient temperature range of the blower set by the user this time;

[0016] Show the predicted ambient temperature range;

[0017] Gets the ambient temperature range of the blower set by the user.

[0018] By adopting the above technical solution, the ambient temperature range that the user wants to set this time can be effectively predicted and displayed based on the ambient temperature range set by the user in the past, so that the user can confirm the ambient temperature range of the blower more quickly.

[0019] Optionally, the predicted ambient temperature range of the blower set by the user this time includes:

[0020] Get the ambient temperature value of the blower set by the current season and the user's logged-in account information history;

[0021] According to the corresponding relationship between the preset season and the ambient temperature range of the blower and the current season, the ambient temperature range of the blower in the current season is analyzed and obtained;

[0022] According to the ambient temperature range of the blower set by the user's logged-in account information history, extract the ambient temperature range of the blower set by the user last time;

[0023] Analyze and determine whether the ambient temperature range of the blower set by the user last time overlaps with the ambient temperature range of the blower in the current season;

[0024] If yes, then the intersection of the ambient temperature range of the blower set by the user last time and the ambient temperature range of the blower in the current season is used as the predicted ambient temperature range of the blower set by the user this time;

[0025] If not, the ambient temperature range of the blower in the current season is used as the predicted ambient temperature range of the blower set by the user this time.

[0026] By adopting the above technical solution, the ambient temperature range of the blower in the current season is further considered, and combined with the ambient temperature range of the blower set by the user's logged-in account information history, compared with relying solely on the ambient temperature range of the blower set by the user's logged-in account information history, the ambient temperature range of the blower set by the user this time can be more accurately predicted.

[0027] Optionally, the setting speed of predicting the dynamic assembly process animation of the corresponding model of the cooling device displayed to the user includes:

[0028] Obtaining the processes involved in obtaining the predicted cooling device model that meets the blower operating temperature range requirements;

[0029] Based on the processes involved in the dynamic assembly process animation for displaying the cooling device set by the user's logged-in account information history, the display speeds set for the corresponding processes, and the processes involved in the predicted acquisition of the cooling device model that meets the blower operating temperature range requirements, analyze and confirm whether the processes involved in the predicted acquisition of the cooling device model that meets the blower operating temperature range requirements are all the processes involved in the dynamic assembly process animation for displaying the cooling device set by the user's logged-in account information history;

[0030] If so, then based on the processes involved in displaying the dynamic assembly process animation of the cooling device set by the user's logged-in account information history and the display speeds set for the corresponding processes, analyze and confirm the display speeds of the processes involved in obtaining the predicted cooling device model that meets the blower operating temperature range requirements, and use this speed as the predicted setting for displaying the dynamic assembly process animation of the cooling device of the corresponding model to the user;

[0031] If not, then analyze and confirm the display speed of the same process according to the process involved in the dynamic assembly process animation of the cooling device set by the user's login account information history and the display speed set for the corresponding process;

[0032] Set the display speed of new processes based on the user's logged-in account information history, and analyze and confirm the display speed of other processes;

[0033] The display speed of the same process and the display speeds of the remaining processes confirmed by analysis are used as the predicted setting speed of the dynamic assembly process animation of the corresponding model of cooling device displayed to the user.

[0034] By adopting the above technical solution, full consideration is given to the fact that users have different levels of understanding of different processes when watching the installation of the cooling device, so the speeds they set are also different. Therefore, the animation display speed of different installation processes of the cooling device model watched by the user can be better predicted, thereby better meeting the user's needs.

[0035] Optionally, analyze and confirm the display speed of other processes including:

[0036] Get the current time period;

[0037] Obtain the corresponding relationship between the display speed of the new process set by the user's logged-in account information history and the time period, and the display speed of the new process set by the user's last logged-in account information history;

[0038] According to the correspondence between the display speed of the new process and the time period set by the user's logged-in account information history and the current time period, analyze and confirm the display speed of the new process set by the user in the current time period;

[0039] The display speed of the new process is calculated based on the user's last login account information history and the display speed of the new process set in the user's current time period, and the preset predicted display speed formula is applied.

[0040] By adopting the above technical solution, when it is confirmed that the user has never encountered the speed of a process before, the display speed of the new process will be comprehensively analyzed by combining the correspondence between the display speed of the new process and the time period set by the user's logged-in account information history and the display speed of the new process set by the user's last login account information history.

[0041] Optionally, the forecasted display velocity formula includes:

[0042] Z=A*q1+B*q2, where q1+q2=1;

[0043] Z is the speed of display of the new process;

[0044] A sets the display speed of new processes for the user's last logged-in account information history;

[0045] q1 sets the weight coefficient of the display speed of the new process for the user's last login account information history;

[0046] B sets the display speed of the new process for the user's current time period;

[0047] q2 is the weight coefficient for the display speed of the new process set by the user in the current time period.

[0048] By adopting the above technical solution, a calculation formula for how to set the display speed of a new process in combination with the user's last login account information history and the user's current time period is specifically disclosed.

[0049] Optionally, the steps following the animation showing the dynamic assembly process of the corresponding cooling device are further included, as follows:

[0050] Obtain information on whether the assembly of the corresponding cooling device involves new processes;

[0051] If yes, analyze and confirm the dynamic videos of precautions involved in the new process based on the correspondence between the process and the dynamic videos of precautions;

[0052] Display a dynamic video of the precautions involved in the new process and send it to the user's terminal;

[0053] If no, no reminder will be given.

[0054] By adopting the above technical solution, further taking into account the fact that the assembly of the corresponding model of cooling device involves a new process, in order to avoid the user violating the precautions during the subsequent assembly process, a dynamic video of the precautions will be sent to the corresponding user.

[0055] Optionally, a dynamic video showing the precautions involved in the new process is sent to the user's terminal, including:

[0056] Obtain the time interval between the user's historical learning of the dynamic assembly process animation of the cooling device and the actual operation;

[0057] Based on the user's historical learning of the dynamic assembly process animation of the cooling device, the average time interval of actual operation and the current time node are analyzed and calculated to determine the time node of the user's actual operation;

[0058] Based on the analyzed and calculated time node of the user's actual operation, a dynamic video showing the precautions involved in the new process is sent to the user's terminal.

[0059] By adopting the above technical solution, it is further taken into consideration that the time interval between the user's subsequent actual assembly of the cooling device will be long, which may lead to violations of the precautions. Therefore, the dynamic video of the precautions is selected when the user actually assembles the cooling device.

[0060] In a second aspect, the present application provides a system for simulating dynamic assembly of blower auxiliary equipment, which adopts the following technical solutions:

[0061] A system for simulating dynamic assembly of blower auxiliary equipment, comprising:

[0062] An acquisition module is used to: obtain the ambient temperature range of the blower set by the user;

[0063] The prediction module is used to predict and obtain the cooling device model that meets the blower operating temperature range requirements based on the preset suitable blower operating temperature range, the correspondence between different cooling device models and blower cooling values, the preset correspondence between different blower ambient temperature values ​​and the maximum operating temperature value, and the user-set blower ambient temperature range;

[0064] The execution module is used to: list the predicted cooling device models that meet the blower operating temperature range requirements and display the dynamic assembly process animation of the corresponding cooling device model.

[0065] By adopting the above technical solution, the ambient temperature range of the blower set by the user can be obtained in a timely manner through the acquisition module, and then the cooling device model that meets the blower operating temperature range requirements can be predicted through the prediction module. Finally, the assembly animation of the cooling device that meets the requirements can be displayed through the execution module, which effectively facilitates the selection of the cooling device and makes it easier for users to choose installation.

[0066] In summary, the beneficial technical effects of this application are:

[0067] 1. It improves the efficiency of users in selecting cooling devices that meet their requirements and can effectively facilitate users to understand the installation plan of the cooling device.

[0068] 2. When demonstrating the assembly method of the cooling device, the display speed will be adjusted based on the user's understanding of some processes to better meet user needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a method flow chart of a method for simulating dynamic assembly of blower auxiliary equipment according to an embodiment of the present application.

[0070] Figure 2 This is a flow chart of a method for obtaining the ambient temperature range of a blower set by a user according to another embodiment of the present application.

[0071] Figure 3 This is a flow chart of a method for predicting the ambient temperature range of the blower set by the user this time according to another embodiment of the present application.

[0072] Figure 4 This is a flowchart of a method for displaying a dynamic assembly process animation of a corresponding model cooling device according to another embodiment of the present application.

[0073] Figure 5 This is a flow chart of a method for predicting the setting speed of a dynamic assembly process animation of a corresponding model of cooling device displayed to a user in another embodiment of the present application.

[0074] Figure 6 This is a flow chart of a method for analyzing and confirming the display speed of other processes according to another embodiment of the present application.

[0075] Figure 7 This is a method flow chart of another embodiment of the present application, which is located after the animation of the dynamic assembly process of the corresponding model cooling device is displayed.

[0076] Figure 8 This is a flowchart of a method for displaying a dynamic video of precautions involved in a new process and sending it to a terminal held by a user in another embodiment of the present application.

[0077] Figure 9 This is a system block diagram of a blower auxiliary equipment simulation dynamic assembly system according to an embodiment of the present application.

[0078] In the figure, 1. Acquisition module; 2. Prediction module; 3. Execution module. DETAILED DESCRIPTION

[0079] The present application is further described in detail below with reference to the accompanying drawings.

[0080] Reference Figure 1 , disclosed in this application, is a method for simulating dynamic assembly of blower auxiliary equipment, comprising:

[0081] Step S100: Obtain the ambient temperature range of the blower set by the user.

[0082] Among them, the ambient temperature range of the blower set by the user refers to the ambient temperature range of the blower set by the user on the relevant software used to simulate the dynamic assembly of the blower auxiliary equipment; the way for the user to set the ambient temperature range of the blower can be to select according to the provided ambient temperature range, or to actively set the ambient temperature range by himself; the ambient temperature range of the blower set by the user is obtained through system capture.

[0083] For example, assuming that the user sets the ambient temperature range to [0,10] degrees Celsius, the obtained dynamic assembly for blower auxiliary equipment simulation is [0,10] degrees Celsius.

[0084] Step S200, based on the preset suitable working temperature range of the blower, the correspondence between different cooling device models and the blower cooling value, the preset correspondence between the blower at different ambient temperature values ​​and the maximum working temperature value, and the ambient temperature range of the blower set by the user, predict and obtain the cooling device model that meets the blower working temperature range requirements.

[0085] Among them, the cooling device can be a fan or other equipment that can achieve equipment cooling. The preset working temperature range suitable for the blower can be obtained from a preset database that stores the working temperature range suitable for the blower; the correspondence between different cooling device models and blower cooling values ​​can be queried and obtained from a preset database that stores the correspondence between different cooling device models and blower cooling values; the preset correspondence between the blower at different ambient temperature values ​​and the maximum working temperature value and the ambient temperature range of the blower set by the user can be queried and obtained from a preset database that stores the correspondence between the blower at different ambient temperature values ​​and the maximum working temperature value and the ambient temperature range of the blower set by the user.

[0086] Among them, the process of predicting and obtaining the cooling device model that meets the requirements of the blower working temperature range is as follows: First, according to the preset correspondence between the blower in different ambient temperature values ​​and the maximum working temperature value and the ambient temperature range of the blower set by the user, the maximum working temperature value under the user-set ambient temperature range can be determined, and then according to the maximum working temperature value of the blower and the preset suitable working temperature range of the blower, the temperature value that the blower needs to be lowered is confirmed, and finally, according to the temperature value that the blower needs to be lowered and the correspondence between different cooling device models and the blower cooling value, the cooling device model that meets the requirements of the blower working temperature range is analyzed and confirmed.

[0087] Step S300 , listing the predicted cooling device models that meet the blower operating temperature range requirements, and displaying the dynamic assembly process animation of the corresponding cooling device model.

[0088] Among them, the method of listing the cooling device models predicted to meet the blower operating temperature range requirements is mainly to display the corresponding models, and the method of displaying the dynamic assembly process animation of the corresponding model cooling device is mainly to display the dynamic assembly process animation of the corresponding model cooling device under the corresponding model.

[0089] For example, assuming the cooling device is a fan, its assembly method is also different, as follows:

[0090] Installation method of model 1 fan: For chassis installation, remove the elbow screw and pressure plate from the column, insert the column into the base, place the pressure plate on the lower part of the chassis, and tighten it clockwise with the elbow locking screw; Installation method of model 1 fan: For adjusting the telescopic rod, first loosen the lifting locking nut, pull the lifting tube out of the column, and then lock it with the lifting locking nut; Installation method of model 3 electric fan: For body adjustment, loosen the clamping nut at the bottom of the body, insert the body into the lifting tube, and tighten the clamping nut, loosen the lifting locking nut, adjust to the required height, and tighten the nut; Installation method of model 4 fan: After installing the rear mesh cover, unscrew the fan blade fixing nut from the click shaft and then unscrew the triangular nut, align the rear mesh cover with the corresponding hole, and tighten the mesh cover nut.

[0091] The principle of the embodiment of the present application is as follows: it can effectively screen out cooling device models that meet the preset blower cooling to a suitable operating temperature range, and demonstrate the assembly process of the corresponding model cooling device to facilitate users to subsequently install the cooling device independently.

[0092] exist Figure 1 In step S100 of the embodiment shown, only the method of obtaining the ambient temperature range of the blower set by the user is considered. When the user actively sets the ambient temperature range of the blower, the user needs to select it based on his or her own experience, which is time-consuming. Therefore, it is necessary to further improve the analysis and judgment of obtaining the ambient temperature range of the blower set by the user. For details, see Figure 2 The illustrated embodiment is described in detail.

[0093] Reference Figure 2 , the user-set ambient temperature range of the blower is obtained including:

[0094] Step S110, obtaining the user's logged-in account information.

[0095] The user's logged-in account information refers to the user's account information for logging into the blower auxiliary equipment simulation dynamic assembly system; the user's logged-in account information is obtained through system identification.

[0096] Step S120 , predicting the ambient temperature range of the blower set this time by the user based on the ambient temperature range of the blower set in the history of the user's logged-in account information.

[0097] The ambient temperature range of the blower set by the user's logged-in account information history can be retrieved from a preset database storing the ambient temperature range of the blower set by the user's logged-in account information history.

[0098] The ambient temperature range of the blower set by the user this time may be the ambient temperature range of the blower set in the user's last login account information history, or may be the average of the ambient temperature ranges of the blower set based on the user's last login account information history.

[0099] Step S130: display the predicted ambient temperature range.

[0100] Step S140: Obtain the ambient temperature range of the blower set by the user.

[0101] The principle of the embodiment of the present application is as follows: it can effectively predict the ambient temperature range of the blower set by the user this time based on the ambient temperature range of the blower set by the user's logged-in account information history, and display it, so as to facilitate the user to confirm the ambient temperature range of the blower more quickly.

[0102] exist Figure 1 In step S120 of the embodiment shown, it is further considered that when predicting the ambient temperature range of the blower set by the user this time based on the ambient temperature range of the blower set by the user alone according to the history of the user's logged-in account information, if the ambient temperature range set by the user last time is not in this season, then the predicted ambient temperature range of the blower set by the user this time will have a large deviation. Therefore, it is necessary to make a further prediction of the ambient temperature range of the blower set by the user this time, specifically in combination with Figure 3 The illustrated embodiment is described in detail.

[0103] Reference Figure 3 , the predicted ambient temperature range of the blower set by the user this time includes:

[0104] Step S121 , obtaining the ambient temperature value of the blower set according to the current season and the user's login account information history.

[0105] Among them, the ambient temperature value of the blower set according to the current season and the user's logged-in account information history can be queried and obtained from a preset database storing the ambient temperature value of the blower set according to the current season and the user's logged-in account information history.

[0106] Step S122 , analyzing and obtaining the ambient temperature range of the blower in the current season based on the correspondence between the preset seasons and the ambient temperature range of the blower and the current season.

[0107] The analysis and acquisition of the ambient temperature range of the blower in the current season can be obtained by using the season of the current time node as the query object and querying from a database storing the correspondence between seasons and ambient temperature ranges of the blower.

[0108] Step S123 , extracting the ambient temperature range of the blower set by the user last time based on the ambient temperature range of the blower set in the user's logged-in account information history.

[0109] The extraction of the ambient temperature range of the blower set by the user last time is carried out in the following manner: the time node of the ambient temperature range of the blower set by the user most recently is used as the query object, and the ambient temperature range of the blower set by the user according to the history of the logged-in account information is retrieved from the database.

[0110] Step S124: Analyze and determine whether the ambient temperature range of the blower set by the user last time intersects with the ambient temperature range of the blower in the current season. If yes, execute step S125; if not, execute step S126.

[0111] Among them, the analysis and judgment of whether the ambient temperature range of the blower set by the user last time intersects with the ambient temperature range of the blower in the current season is as follows: obtain the ambient temperature range of the blower set by the user last time and the ambient temperature range of the blower in the current season; then judge whether there is an intersection based on whether there is an overlapping part between the two ambient temperature ranges.

[0112] For example, the ambient temperature range of the blower set by the user last time is [0,11] degrees Celsius, and the ambient temperature range of the blower in the current season is [9,12] degrees Celsius. Then there is an overlap between the two ambient temperature ranges, that is, there is an intersection.

[0113] Step S125: The predicted ambient temperature range of the blower set by the user this time is the intersection of the ambient temperature range of the blower set by the user last time and the ambient temperature range of the blower in the current season.

[0114] For example, the ambient temperature range of the blower set by the user last time was [0,11] degrees Celsius, and the ambient temperature range of the blower in the current season is [10,12] degrees Celsius. There is an overlap between the two ambient temperature ranges, which is [9,11] degrees Celsius. Therefore, the predicted ambient temperature range of the blower set by the user this time is [9,11] degrees Celsius.

[0115] Step S126: The ambient temperature range of the blower in the current season is used as the predicted ambient temperature range of the blower set by the user this time.

[0116] The principles of the embodiments of this application are as follows:

[0117] The ambient temperature range of the blower set by the user this time is effectively predicted based on whether the ambient temperature range of the blower set by the user last time intersects with the ambient temperature range of the blower in the current season.

[0118] exist Figure 1 In step S300 of the illustrated embodiment, it is further considered that different users have different speed requirements for viewing the dynamic assembly process animation of the corresponding model of cooling device, so it is necessary to further analyze and judge the dynamic assembly process animation of the corresponding model of cooling device.

[0119] Reference Figure 4 , showing the dynamic assembly process animation of the corresponding cooling device includes the following:

[0120] Step S310 , predicting the setting speed of the user for displaying the dynamic assembly process animation of the cooling device of the corresponding model based on the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history.

[0121] Among them, the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history refers to the playback speed of the animation, which is generally 25 frames per second, and can also be defined as 1x speed; the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history can be queried and obtained from a preset database that stores the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history; the prediction of the setting speed of the dynamic assembly process animation of the corresponding model of the cooling device displayed by the user can be queried and obtained from a preset database that stores the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history, with the corresponding model of the cooling device as the query object.

[0122] Step S320: Display the dynamic assembly process animation of the corresponding model of cooling device according to the predicted speed.

[0123] The principle of the embodiment of the present application is as follows: it is possible to predict the setting speed at which the user displays the dynamic assembly process animation of the corresponding model of cooling device, and display the dynamic assembly process animation of the corresponding model of cooling device according to the predicted speed.

[0124] exist Figure 4 In step S310 of the embodiment shown, considering that the dynamic assembly process of the cooling device can be divided into many steps and the user's familiarity with different steps is different, the speed of the animation display will also vary. Therefore, it is necessary to further analyze the setting speed of the dynamic assembly process animation of the corresponding model of the cooling device to be displayed by the user. For details, refer to Figure 5 The illustrated embodiment is described in detail.

[0125] Reference Figure 5 , the prediction of the user's setting speed for the dynamic assembly process animation of the corresponding model of cooling device includes:

[0126] Step S311, obtaining the processes involved in obtaining the predicted cooling device model that meets the blower operating temperature range requirements.

[0127] Among them, the processes involved in the predicted acquisition of the cooling device model that meets the requirements of the blower working temperature range refer to the installation steps of the cooling device; the acquisition of the processes involved in the predicted acquisition of the cooling device model that meets the requirements of the blower working temperature range can be to use the cooling device model that meets the requirements of the blower working temperature range as the query object, and query and obtain the processes involved in the predicted acquisition of the cooling device model that meets the requirements of the blower working temperature range from a preset database that stores cooling device models and processes.

[0128] Step S312: Based on the processes involved in the dynamic assembly animation of the cooling device set by the user's logged-in account information history, the display speeds set for the corresponding processes, and the processes involved in the predicted cooling device model that meets the blower operating temperature range requirements, an analysis is performed to confirm whether the processes involved in the predicted cooling device model that meets the blower operating temperature range requirements are all the processes involved in the dynamic assembly animation of the cooling device set by the user's logged-in account information history. If so, step S313 is executed; if not, step S314 is executed.

[0129] Among them, the processes involved in the dynamic assembly process animation of the cooling device set according to the user's logged-in account information history and the display speed set for the corresponding processes can be queried and obtained from a preset database that stores the processes involved in the dynamic assembly process animation of the cooling device set according to the user's logged-in account information history and the display speed set for the corresponding processes.

[0130] In addition, analysis is performed to confirm whether the processes involved in the predicted cooling device model that meets the blower operating temperature range requirements are all the processes involved in the dynamic assembly process animation of the cooling device set by the user's logged-in account information history. This can be determined by process comparison.

[0131] Step S313, based on the processes involved in the dynamic assembly process animation of the cooling device set according to the user's logged-in account information history and the display speed set for the corresponding processes, analyze and confirm the predicted display speed of the processes involved in obtaining the cooling device model that meets the blower operating temperature range requirements, and use it as the setting speed for the dynamic assembly process animation of the cooling device of the corresponding model to be displayed to the user.

[0132] Among them, the process of analyzing and confirming the predicted display speed of the process involved in obtaining the cooling device model that meets the working temperature range requirements of the blower is as follows: taking the process involved in the cooling device model that meets the working temperature range requirements of the blower as the query object, query and obtain from a preset database that stores the process involved in the dynamic assembly process animation of the cooling device set according to the user's login account information history and the display speed set for the corresponding process.

[0133] Step S314 , analyzing and confirming the display speed of the same process according to the processes involved in the dynamic assembly process animation of the cooling device set according to the user's login account information history and the display speed set for the corresponding process.

[0134] Specifically, step S314 and step S313 analyze and confirm that the display speed of the same process is the same, which will not be described in detail here.

[0135] Step S315: Set the display speed of the new process according to the user's logged-in account information history, and analyze and confirm the display speeds of the remaining processes.

[0136] Among them, the display speed of the new process set by the user's logged-in account information history refers to the display speed set for the corresponding process when the user encounters the process for the first time. The display speed of the new process set by the user's logged-in account information history can be queried and obtained from a preset database that stores the display speed of the new process set by the user's logged-in account information history. Analysis and confirmation of the display speeds of the remaining processes can be queried and obtained from a preset database that stores the display speed of the new process set by the user's logged-in account information history.

[0137] Step S316 : The analyzed and confirmed display speed of the same process and the display speeds of the other processes are used as the predicted setting speed of the dynamic assembly process animation of the corresponding model of the cooling device displayed to the user.

[0138] The principle of the embodiment of the present application is as follows: the user's assembly process for the corresponding model of cooling device is divided into steps, and the animation display speed of each step is adjusted according to the user's historical situation, so as to better meet the user's needs.

[0139] exist Figure 5 In step S314 of the embodiment shown, it is further considered that relying solely on the user history to learn the speed of the new process is not appropriate. The user's attention to the new process is different at different times, so the display speed also needs to be adjusted accordingly. Figure 6 The illustrated embodiment is described in detail.

[0140] Reference Figure 6 , the analysis confirmed that the display speeds of the remaining processes include:

[0141] Step S315.1, obtain the current time period.

[0142] Among them, the current time period refers to the time period of the current time node, for example, 11:01 belongs to the time period from 11:00 to 12:00. The current time period can be obtained by first obtaining the current time node according to the system, and then determining the specific time period based on the current time node.

[0143] Step S315.2, obtaining the corresponding relationship between the display speed of the new process set in the history of the user's logged-in account information and the time period, and the display speed of the new process set in the history of the user's last logged-in account information.

[0144] Among them, the correspondence between the display speed of the new process set by the user's logged-in account information history and the time period can be queried and obtained from a preset database that stores the correspondence between the display speed of the new process set by the user's logged-in account information history and the time period; the display speed of the new process set by the user's last login account information history can be queried and obtained from a preset database that stores the display speed of the new process set by the user's historical login account information history.

[0145] Step S315.3: Analyze and confirm the display speed of the new process set by the user in the current time period based on the corresponding relationship between the display speed of the new process and the time period according to the user's logged-in account information history and the current time period.

[0146] Step S315.4, based on the user's last login account information history, the new process display speed is set, and the new process display speed is set in the user's current time period. Apply the preset prediction display speed formula to calculate the new process display speed.

[0147] Among them, the formula for predicting display speed includes: Z=A*q1+B*q2, where q1+q2=1; Z is the display speed of the new process; A is the display speed of the new process set according to the user's last login account information history; q1 is the weight coefficient of the display speed of the new process set according to the user's last login account information history; B is the display speed of the new process set in the user's current time period; q2 is the weight coefficient of the display speed of the new process set in the user's current time period.

[0148] For example, assuming that the display speed of the new process was set to 1x speed in the user's last login account information history, the weight coefficient of the display speed of the new process was set to 0.3 in the user's last login account information history, the display speed of the new process was set to 2x speed in the user's current period, and the weight coefficient of the display speed of the new process in the user's current period was set to 0.7, then the display speed of the new process is 1.7x speed.

[0149] The principles of the embodiments of this application are as follows:

[0150] By comprehensively considering the display speed of new processes set by the user's last login account information history and the display speed of new processes set by the user in the current period, the display speed of new processes can be effectively predicted and analyzed.

[0151] Reference Figure 7 A method for simulating dynamic assembly of blower auxiliary equipment further includes the following steps after displaying the animation of the dynamic assembly process of the corresponding model cooling device:

[0152] Step S400: Obtain whether the assembly of the corresponding model of cooling device involves a new process. If yes, proceed to step S500; if no, proceed to step S700.

[0153] Step S500 : analyzing and confirming the dynamic video of precautions involved in the new process based on the correspondence between the process and the dynamic video of precautions.

[0154] Among them, the dynamic video of precautions refers to a video that displays precautions, which can effectively facilitate users to understand the precautions. The dynamic video of precautions involved in the new process can be obtained by querying the precautions from a preset database that stores the correspondence between the process and the dynamic video of precautions.

[0155] Step S600: Display a dynamic video of precautions involved in the new process and send it to the terminal held by the user.

[0156] The terminal held by the user can be a mobile phone, a computer, or other communicative terminal equipment.

[0157] Step S700: No reminder.

[0158] The principles of the embodiments of this application are as follows:

[0159] When it is learned that the process the user is currently in contact with includes a new process, a video of the precautions involved in the corresponding process will be sent to the user.

[0160] exist Figure 7 In step S600 of the embodiment shown, it is further considered that the user needs to understand the precautions when actually assembling the cooling device. Therefore, it is necessary to display a dynamic video of the precautions involved in the new process and send it to the terminal held by the user for further analysis and judgment. For details, refer to Figure 8 The illustrated embodiment is described in detail.

[0161] Reference Figure 8 , showing a dynamic video of the precautions involved in the new process and sending it to the user's terminal including:

[0162] Step S610: obtaining the time interval between actual operations after the user has learned the dynamic assembly process animation of the cooling device in history.

[0163] Among them, the time interval of actual operation after the user's historical learning of the dynamic assembly process animation of the cooling device refers to the time period of actual assembly after the user has learned the dynamic assembly process animation of the cooling device. The time interval of actual operation after the user's historical learning of the dynamic assembly process animation of the cooling device can be queried and obtained from a preset database that stores the time interval of actual operation after the user's historical learning of the dynamic assembly process animation of the cooling device.

[0164] Step S620 , analyzing and calculating the time node of the user's actual operation based on the average time interval of the actual operation after the dynamic assembly process animation of the cooling device is learned from the user's history and the current time node.

[0165] The average time interval of actual operation after the user's historical learning of the dynamic assembly process animation of the cooling device is obtained by the following steps: first, query and obtain all the time intervals of actual operation after the user's historical learning of the dynamic assembly process animation of the cooling device, and then analyze and determine the average time interval based on all time intervals and the number of specific time intervals; the time node of the user's actual operation can be analyzed and determined based on the current time node and the average time interval.

[0166] Step S630: Based on the analyzed and calculated time point of the user's actual operation, a dynamic video showing the precautions involved in the new process is sent to the user's terminal.

[0167] The principles of the embodiments of this application are as follows:

[0168] By comprehensively considering the time intervals after the user's historical learning of the dynamic assembly process animation of the cooling device, the user's actual assembly time node can be better calculated, and the user can be notified of precautions at this time node to avoid the user violating the precautions.

[0169] Reference Figure 9 Based on the same inventive concept, the present application also provides a system for simulating dynamic assembly of blower auxiliary equipment, comprising:

[0170] The acquisition module 1 is used to obtain the ambient temperature range of the blower set by the user.

[0171] Prediction module 2 is used to: predict and obtain the cooling device model that meets the blower operating temperature range requirements based on the preset suitable blower operating temperature range, the correspondence between different cooling device models and blower cooling values, the preset correspondence between the blower at different ambient temperature values ​​and the maximum operating temperature value, and the user-set ambient temperature range of the blower.

[0172] Execution module 3 is used to: list the predicted cooling device models that meet the blower operating temperature range requirements, and display the dynamic assembly process animation of the corresponding cooling device model.

[0173] The principles of this embodiment are as follows: an acquisition module obtains the user-defined ambient temperature range for the blower, a prediction module predicts the model of a cooling device that meets the blower's operating temperature range, and an execution module displays an assembly animation of a cooling device that meets the requirements. This effectively facilitates the selection of a cooling device and facilitates user installation.

[0174] The embodiments of this specific implementation method are all preferred embodiments of the present application and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for simulating dynamic assembly of blower auxiliary equipment, characterized in that: include: Get the ambient temperature range of the blower set by the user; Based on the preset suitable blower operating temperature range, the correspondence between different cooling device models and blower cooling values, the preset correspondence between the blower at different ambient temperature values ​​and the maximum operating temperature value, and the user-set ambient temperature range of the blower, the cooling device model that meets the blower operating temperature range requirements is predicted; List the predicted cooling device models that meet the blower operating temperature range requirements, and display the dynamic assembly process animation of the corresponding cooling device model; The acquisition of the ambient temperature range of the blower set by the user includes: Get the user's logged-in account information; Based on the ambient temperature range of the blower set by the user's logged-in account information history, predict the ambient temperature range of the blower set by the user this time; Show the predicted ambient temperature range; Get the ambient temperature range of the blower set by the user; The predicted ambient temperature range of the blower set by the user this time includes: Get the ambient temperature value of the blower set by the current season and the user's logged-in account information history; According to the corresponding relationship between the preset season and the ambient temperature range of the blower and the current season, the ambient temperature range of the blower in the current season is analyzed and obtained; According to the ambient temperature range of the blower set by the user's logged-in account information history, extract the ambient temperature range of the blower set by the user last time; Analyze and determine whether the ambient temperature range of the blower set by the user last time overlaps with the ambient temperature range of the blower in the current season; If yes, then the intersection of the ambient temperature range of the blower set by the user last time and the ambient temperature range of the blower in the current season is used as the predicted ambient temperature range of the blower set by the user this time; If not, the ambient temperature range of the blower in the current season is used as the predicted ambient temperature range of the blower set by the user this time.

2. A method for simulating dynamic assembly of blower auxiliary equipment according to claim 1, characterized in that: The animations showing the dynamic assembly process of the corresponding cooling device include the following: Predicting the speed of the user displaying the dynamic assembly process animation of the cooling device of the corresponding model based on the speed of the dynamic assembly process animation of the cooling device set by the user's logged-in account information history; Animation of the dynamic assembly process of the corresponding model of cooling device is displayed according to the predicted speed.

3. A method for simulating dynamic assembly of blower auxiliary equipment according to claim 2, characterized in that: The prediction of the user's setting speed for the dynamic assembly process animation of the corresponding cooling device model includes: Obtaining the processes involved in obtaining the predicted cooling device model that meets the blower operating temperature range requirements; Based on the processes involved in the dynamic assembly process animation for displaying the cooling device set by the user's logged-in account information history, the display speeds set for the corresponding processes, and the processes involved in the predicted acquisition of the cooling device model that meets the blower operating temperature range requirements, analyze and confirm whether the processes involved in the predicted acquisition of the cooling device model that meets the blower operating temperature range requirements are all the processes involved in the dynamic assembly process animation for displaying the cooling device set by the user's logged-in account information history; If so, then based on the processes involved in displaying the dynamic assembly process animation of the cooling device set by the user's logged-in account information history and the display speeds set for the corresponding processes, analyze and confirm the display speeds of the processes involved in obtaining the predicted cooling device model that meets the blower operating temperature range requirements, and use this speed as the predicted setting for displaying the dynamic assembly process animation of the cooling device of the corresponding model to the user; If not, then analyze and confirm the display speed of the same process according to the process involved in the dynamic assembly process animation of the cooling device set by the user's login account information history and the display speed set for the corresponding process; Set the display speed of new processes based on the user's logged-in account information history, and analyze and confirm the display speed of other processes; The display speed of the same process and the display speeds of the remaining processes confirmed through analysis are used as the predicted setting speed of the dynamic assembly process animation of the corresponding model of cooling device displayed to the user.

4. A method for simulating dynamic assembly of blower auxiliary equipment according to claim 3, characterized in that: The analysis confirmed that the display speeds of the remaining processes include: Get the current time period; Obtain the corresponding relationship between the display speed of the new process set by the user's logged-in account information history and the time period, and the display speed of the new process set by the user's last logged-in account information history; According to the correspondence between the display speed of the new process and the time period set by the user's logged-in account information history and the current time period, analyze and confirm the display speed of the new process set by the user in the current time period; The display speed of the new process is calculated based on the user's last login account information history and the display speed of the new process set in the user's current time period, and the preset predicted display speed formula is applied.

5. A method for simulating dynamic assembly of blower auxiliary equipment according to claim 4, characterized in that: The formula for predicting impression velocity includes: Z=A*q1+B*q2, where q1+q2=1; Z is the speed of display of the new process; A sets the display speed of new processes for the user's last logged-in account information history; q1 sets the weight coefficient of the display speed of the new process for the user's last login account information history; B sets the display speed of the new process for the user's current time period; q2 is the weight coefficient for the display speed of the new process set by the user in the current time period.

6. A method for simulating dynamic assembly of blower auxiliary equipment according to any one of claims 3 to 5, characterized in that: It also includes the following steps following the animation showing the dynamic assembly process of the corresponding model of cooling device: Obtain information on whether the assembly of the corresponding cooling device involves new processes; If yes, analyze and confirm the dynamic videos of precautions involved in the new process based on the correspondence between the process and the dynamic videos of precautions; Display a dynamic video of the precautions involved in the new process and send it to the user's terminal; If no, no reminder will be given.

7. A method for simulating dynamic assembly of blower auxiliary equipment according to claim 6, characterized in that: A dynamic video showing the precautions involved in the new process is sent to the user's terminal, including: Obtain the time interval between the user's historical learning of the dynamic assembly process animation of the cooling device and the actual operation; Based on the user's historical learning of the dynamic assembly process animation of the cooling device, the average time interval of actual operation and the current time node are analyzed and calculated to determine the time node of the user's actual operation; Based on the analyzed and calculated time node of the user's actual operation, a dynamic video showing the precautions involved in the new process is sent to the user's terminal.

8. A system for simulating dynamic assembly of blower auxiliary equipment, characterized in that: The system is used to execute the method for simulating dynamic assembly of blower auxiliary equipment according to claim 1, comprising: An acquisition module (1) is used to: acquire the ambient temperature range of the blower set by the user; The prediction module (2) is used to predict and obtain the cooling device model that meets the blower operating temperature range requirements based on the preset suitable blower operating temperature range, the corresponding relationship between different cooling device models and the blower cooling value, the preset corresponding relationship between the blower at different ambient temperature values ​​and the maximum operating temperature value, and the user-set ambient temperature range of the blower; The execution module (3) is used to: list the predicted cooling device models that meet the blower operating temperature range requirements, and display the dynamic assembly process animation of the corresponding cooling device model.

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