CN115300912A - Data processing method and device, electronic equipment and storage medium - Google Patents
Data processing method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN115300912A CN115300912A CN202210807945.9A CN202210807945A CN115300912A CN 115300912 A CN115300912 A CN 115300912A CN 202210807945 A CN202210807945 A CN 202210807945A CN 115300912 A CN115300912 A CN 115300912A
- Authority
- CN
- China
- Prior art keywords
- virtual pet
- diagnosis
- physician
- user
- pet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/80—Special adaptations for executing a specific game genre or game mode
- A63F13/822—Strategy games; Role-playing games
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/58—Controlling game characters or game objects based on the game progress by computing conditions of game characters, e.g. stamina, strength, motivation or energy level
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/80—Special adaptations for executing a specific game genre or game mode
- A63F13/825—Fostering virtual characters
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/80—Special adaptations for executing a specific game genre or game mode
- A63F13/847—Cooperative playing, e.g. requiring coordinated actions from several players to achieve a common goal
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The embodiment of the application provides a data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving physiological data of a virtual pet from a first user device, wherein the first user device is a device of a user of the virtual pet; transmitting the physiological data to a second user device; receiving a diagnosis and treatment plan for the virtual pet from the second user equipment, wherein the diagnosis and treatment plan is made for the virtual pet by a virtual pet doctor based on the physiological data; sending a diagnosis and treatment scheme to first user equipment so that a user can treat the virtual pet based on the diagnosis and treatment scheme; receiving recovery data for the virtual pet from the first user device; and examining the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician. The embodiment of the application makes up the technical blank of checking the virtual pet doctors.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a data processing method and apparatus, an electronic device, and a storage medium.
Background
At present, with the fire explosion of a pet market, many people want to raise pets, but the raising of the pets has other problems, such as busy work; alternatively, the life of the pet is relatively short; in addition, the pet is not raised in the living place, and many people who want to raise the pet cannot raise the pet as desired due to various reasons. Virtual pets have appeared in recent years, which have the following characteristics: the service life is long; the feeding is carried out anytime and anywhere, and special feeding and care are not needed; the method is not limited by living environment, and the user only needs to install the corresponding application program and can complete the raising of the virtual pet through network operation. Therefore, the virtual pet is gradually activated in the life of people, and with the improvement of science and technology, the difference between the virtual pet and the physical pet is smaller and smaller, so that the virtual pet and the physical pet are born and died, so that the virtual pet physician can also take the lead, and the virtual pet physician is a pet physician for disease diagnosis of the virtual pet. However, since virtual pets are an emerging industry, it is still blank to evaluate the diagnosis of virtual pet physicians to improve the diagnosis quality of the virtual pet physicians.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, electronic equipment and a storage medium, and the diagnosis process of a virtual pet doctor is evaluated through the diagnosis and treatment scheme of the virtual pet doctor and the recovery data of the virtual pet, so that the blank of the prior art is made up.
In a first aspect, an embodiment of the present application provides a data processing method, including:
receiving physiological data of a virtual pet from a first user device, wherein the first user device is a device of a user of the virtual pet;
sending the physiological data to a second user device so as to diagnose the disease of the virtual pet, wherein the second user device is a device of a virtual pet physician;
receiving a diagnosis plan for the virtual pet from the second user equipment, the diagnosis plan being a diagnosis plan made by the virtual pet physician for the virtual pet based on the physiological data;
sending the diagnosis and treatment scheme to the first user equipment so that the user can treat the virtual pet based on the diagnosis and treatment scheme;
receiving recovery data for the virtual pet from the first user device;
and examining the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including: a receiving unit, a processing unit and a transmitting unit;
the receiving unit is used for acquiring physiological data of a virtual pet from first user equipment, wherein the first user equipment is equipment of a user of the virtual pet;
the sending unit is used for sending the physiological data to second user equipment so as to diagnose the disease of the virtual pet, wherein the second user equipment is equipment of a virtual pet physician;
the receiving unit is further configured to receive a diagnosis and treatment plan for the virtual pet from the second user equipment, where the diagnosis and treatment plan is a diagnosis and treatment plan made by the virtual pet physician for the virtual pet based on the physiological data;
the sending unit is further configured to send the diagnosis and treatment plan to the first user equipment, so that the user can treat the virtual pet based on the diagnosis and treatment plan;
the receiving unit is further used for receiving recovery data of the virtual pet from the first user equipment;
the processing unit is used for examining the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor coupled to a memory, the memory configured to store a computer program, the processor configured to execute the computer program stored in the memory to cause the electronic device to perform the method of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, where the computer program makes a computer execute the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, the computer being operable to cause a computer to perform the method according to the first aspect.
The embodiment of the application has the following beneficial effects:
it can be seen that, in the embodiment of the application, the data processing device serves as an intermediate device, and when a user needs to diagnose a virtual pet, the data processing device forwards physiological data of the virtual pet to the second user device, and forwards a diagnosis and treatment scheme of a virtual pet doctor to the first user device; and then, acquiring recovery data of the virtual pet after diagnosis and treatment based on the diagnosis and treatment scheme. Finally, the virtual pet physician is comprehensively assessed based on the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain the assessment result of the virtual pet physician, so that the assessment of the diagnosis process of the virtual pet physician is realized, and the blank of the prior art is filled.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a data processing system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a method for sending physiological data of a virtual pet according to an embodiment of the present application;
FIG. 4 is a schematic illustration of a method for determining a goal score for each virtual pet physician provided in accordance with an embodiment of the present application;
FIG. 5 is a schematic diagram of a virtual pet generation method provided in an embodiment of the present application;
fig. 6 is a schematic diagram of target detection provided in an embodiment of the present application;
FIG. 7 is a schematic diagram of generating a target virtual environment according to an embodiment of the present application;
fig. 8 is a block diagram illustrating functional units of a data processing apparatus according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a data processing system according to an embodiment of the present disclosure. The data processing system comprises a first user equipment 10, a data processing arrangement 20 and a second user equipment 30. The first user equipment 10 is a device of a user of a virtual pet, the second user equipment 30 is a device of a virtual pet physician, the data processing device 20 is configured to manage generation of the virtual pet of the user, logout of the virtual pet, and recycling of the virtual pet, that is, maintain the whole life cycle of the virtual pet, and the data processing device 20 is maintained with a front-end application, so that the user can perform generation of the virtual pet, diagnosis of the virtual pet, dress up of the virtual pet, interaction of the virtual pet, logout of the virtual pet, and the like through the front-end application. The application mainly describes the diagnosis process of the virtual pet, and other life processes are not described too much.
Illustratively, the first user device 10 sends physiological data of the virtual pet to the data processing apparatus 20; the data processing device 20 sends the physiological data to the second user equipment 30 so that the virtual pet physician diagnoses the virtual pet based on the physiological data; the second user equipment 30 sends a diagnosis and treatment plan to the data processing device 20, wherein the diagnosis and treatment plan is a diagnosis and treatment plan made by a virtual pet doctor for a virtual pet based on the physiological data; the first user equipment 10 sends the recovery data of the virtual pet to the data processing device 20; finally, the data processing device 20 examines the virtual pet physicians according to the diagnosis and treatment schemes, the recovery data and the professional information of the virtual pet physicians to obtain target examination results of the virtual pet physicians.
It can be seen that, in the embodiment of the present application, the data processing apparatus serves as an intermediate device, and when a user needs to diagnose a virtual pet, the data processing apparatus forwards physiological data of the virtual pet to the second user device, and forwards a diagnosis and treatment plan of a virtual pet doctor to the first user device; and then, acquiring recovery data of the virtual pet after diagnosis and treatment based on the diagnosis and treatment scheme. And finally, comprehensively examining the virtual pet physicians on the basis of the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physicians to obtain the examination results of the virtual pet physicians, so that the examination of the diagnosis process of the virtual pet physicians is realized, and the blank of the prior art is made up.
Referring to fig. 2, fig. 2 is a block diagram illustrating a data processing method according to an embodiment of the present disclosure. The data processing method is applied to the data processing system. The method includes but is not limited to the following steps:
201: the first user equipment sends the physiological data of the virtual pet to the data processing device.
Illustratively, the first user equipment has installed thereon a front-end application maintained by the data processing apparatus. Correspondingly, the user firstly completes registration on the front-end application program to become a registered user of the data processing device, and the user grants other access rights such as operation behaviors, geographic positions and the like of the access user to the data processing device in the registration process. Further, as shown in fig. 3, the front-end application has a virtual pet diagnosis function button, so that when the user needs to diagnose the virtual pet, the user can click the function button. As shown in fig. 3, when the function button is clicked, an information input page is displayed on the interface of the first user equipment, the information input page includes a plurality of information input fields, and the user can input the physiological data of the virtual pet in the plurality of information input fields, and when the "confirmation" is clicked, the physiological data of the virtual pet is transmitted to the data processing device.
Exemplary, physiological data for a virtual pet includes, but is not limited to: attribute parameters of the virtual pet and user parameters, wherein the attribute parameters comprise height, weight, growth cycle and the like of the virtual pet. The user parameters comprise the accompany duration, the interaction times, the equipment upgrading times, the appearance image adjusting times, the nursing times and the like of the virtual pet in a preset time period.
202: the data processing apparatus sends the physiological data to the second user device.
The data processing device forwards the physiological data to the second user equipment, so that the user of the second user equipment (namely the virtual pet physician) performs disease diagnosis on the virtual pet.
203: and the second user equipment sends the diagnosis and treatment scheme aiming at the virtual pet to the data processing device.
The diagnosis and treatment scheme is a diagnosis and treatment scheme made by a virtual pet doctor on the virtual pet based on physiological data.
Similarly, the application program is installed on the second user device, and the virtual pet physician can register and log in with the identity of the physician, so that the virtual pet physician can receive the physiological data forwarded by the data processing device through the second user device, input the diagnosis and treatment plan for the virtual pet through the second user device, and send the diagnosis and treatment plan to the data processing device.
204: the data processing device sends the diagnosis and treatment scheme to the first user equipment, so that the user can treat the virtual pet based on the diagnosis and treatment scheme.
For example, after receiving the diagnosis and treatment plan sent by the second user equipment, the data processing apparatus may forward the diagnosis and treatment plan to the first user equipment, so that the first user equipment treats the virtual pet based on the diagnosis and treatment plan.
205: the first user equipment sends the recovery data of the virtual pet to the data processing device.
For example, when the data processing apparatus detects that the user treats the virtual pet by using the diagnosis and treatment scheme, the data processing apparatus may send instruction information to the first user equipment to instruct the first user equipment to report recovery data of the virtual pet. Correspondingly, after receiving the indication information, the first user equipment displays the prompt information on a visual interface, and the user can input the recovery data of the virtual pet through the visual interface.
206: and the data processing device examines the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
Exemplarily, a first assessment result under a resource consumption dimension is obtained according to a diagnosis and treatment scheme; determining the healing degree of the virtual pet according to the recovery data; determining the authority of the virtual pet physician according to the professional information of the virtual pet physician; and determining the target assessment result of the virtual pet physician according to the first assessment result, the cure degree and the authority. Illustratively, the first assessment result, the cure degree and the authority can be multiplied to obtain the objective assessment result of the virtual pet physician.
Specifically, according to the diagnosis and treatment scheme, the name of the disease suffered by the virtual pet is determined. For example, when the virtual pet physician inputs the diagnosis and treatment plan, the name of the disease suffered by the virtual pet needs to be input. Therefore, the data processing device can perform keyword recognition on the diagnosis and treatment plan and extract the disease name suffered by the virtual pet from the diagnosis and treatment plan, wherein the disease name of the virtual pet comprises: congestion, hunger, lack of interaction, etc. Then, according to the disease names, the average resource consumption of the disease names is determined. Illustratively, the data processing device counts the historical diagnosis records to obtain the resource consumption of any registered user when treating the virtual pet with the disease name, and averages the counted resource consumption of all registered users to obtain the average resource consumption corresponding to the disease name.
It should be noted that the resource consumption of the present application includes time consumption and cost consumption, wherein the time consumption mainly refers to the operation duration of the user in the process of treating the virtual pet; cost expenditure refers to a user's investment in cost (e.g., an investment of money) in treating a virtual pet. Thus, the average resource consumption situation described above includes the average operating time and the average cost investment.
Further, according to the diagnosis and treatment scheme, the resource consumption condition of the virtual pet is determined. It is to be understood that the resource consumption situation of the virtual pet includes a target operation time period and a target cost investment.
Illustratively, the medical treatment plan includes a plurality of medical treatment items. For example, the plurality of medical items include accompanying, interactive, equipment upgrading, appearance changing, beauty nursing, feeding, and the like; and acquiring a plurality of operation processes required by each diagnosis and treatment item user aiming at each diagnosis and treatment item. For example, for feeding the medical treatment item, the plurality of operation processes of the medical treatment item include food acquisition, food matching, food preparation, and food feeding, etc. Then, for each operation process under each diagnosis and treatment item, determining the operation duration of the user in each operation process according to the operation habit of the user, wherein the operation habit is the proficiency of the user in mastering the growth process of the virtual pet, and the proficiency can be represented by the browsing times of the virtual pet by the user. And then, determining the operation duration of the user in each operation process according to the mapping relation among the proficiency level, the operation process and the operation time. Further, the operation time of the user in each operation process is summed to obtain the operation time of the user in each diagnosis and treatment item. And finally, weighting the operation durations of the plurality of diagnosis and treatment items according to the weight of each diagnosis and treatment item to obtain the target operation duration. Wherein, the weight of each diagnosis and treatment item is preset.
Illustratively, acquiring a user requires a cost investment on each clinical item. Similarly, for each operation process of each diagnosis and treatment item, the cost investment of the user on each operation process is obtained. For example, an element that the user needs to purchase on each operation process is acquired, and the amount of money required by the element is input as the cost of the user on the operation process. And then summing the cost investments of the plurality of diagnosis and treatment items on each operation item to obtain the cost investment of the user on each diagnosis and treatment item. And finally, summing the cost investments of the plurality of diagnosis and treatment items to obtain a target cost investment.
Further, a first assessment result of the virtual pet physician is determined according to the average resource consumption condition and the resource consumption condition of the virtual pet. Exemplarily, a second assessment result is determined according to the average operation duration and the target operation duration; determining a third assessment result according to the average cost investment and the target cost investment; and determining the first examination result according to the second examination result and the third examination result.
Illustratively, the second assessment result can be represented by formula (1):
wherein, achievement 2 As a second evaluation result, t target Is a target operation time period, t average Is the average operating time length.
Illustratively, the third assessment result can be represented by formula (2):
wherein, achievement 3 As a third assessment result, c average To average input cost, c target Is the target input cost.
Illustratively, the first assessment result can be represented by formula (3):
achievement 1 ＝achievement 3 *achievement 2 formula (3);
wherein, achievements 1 Is the first assessment result.
Further, the recovery data of the virtual pet comprises the current physiological state of the virtual pet, wherein the current physiological state comprises height, weight, appearance, mood, and other physiological parameters of the virtual pet. Acquiring the growth time of the virtual pet from the received recovery data; and predicting the current growth state of the virtual pet according to the growth time and the growth rule of the virtual pet. Determining the cure degree of the virtual pet according to the current growth state and the current physiological state, namely comparing the values of various physiological parameters in the current growth state and the current physiological state respectively to determine the physiological parameters belonging to normal in the various physiological parameters, wherein the normal physiological parameters are that the difference value of the physiological parameters in the current growth state and the current physiological state is smaller than the threshold value corresponding to the physiological parameters; then, the ratio of the normal physiological parameters to the total number of the physiological parameters is counted, and the ratio is used as the recovery degree of the virtual pet.
Further, the career information of the virtual pet physician includes the graduate school, the working age and the acquired honor of the virtual pet physician, and so on. Therefore, the authority of the virtual pet physician can be determined according to the corresponding relation between the professional information and the authority of the virtual pet physician, wherein the authority is used for representing the credibility of the diagnosis and treatment scheme given by the virtual pet physician.
It can be seen that, in the embodiment of the application, the data processing device serves as an intermediate device, and when a user needs to diagnose a virtual pet, the data processing device forwards physiological data of the virtual pet to the second user device, and forwards a diagnosis and treatment scheme of a virtual pet doctor to the first user device; and then, acquiring recovery data of the virtual pet after diagnosis and treatment based on the diagnosis and treatment scheme. And finally, comprehensively examining the virtual pet physicians on the basis of the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physicians to obtain the examination results of the virtual pet physicians, so that the examination of the diagnosis process of the virtual pet physicians is realized, and the blank of the prior art is made up.
In one embodiment of the application, after the objective assessment results of the pet physicians are determined, a plurality of objective assessment results of the virtual pet physicians in a preset time can be obtained; and determining a display strategy of the virtual pet physician according to the plurality of objective assessment results. Illustratively, the achievement rate of the virtual pet physician is determined according to a plurality of objective assessment results, wherein the achievement rate is the ratio of the number of objective assessment results of the plurality of objective assessment results, which are larger than a threshold value, to the number of the plurality of objective assessment results. And determining a display strategy of the virtual pet physician according to the standard reaching rate of the virtual pet physician, wherein the display strategy comprises a top display, a bottom-sinking display or a middle display and the like. And finally, displaying the personal information of the virtual pet doctor on a front-end webpage according to the display strategy of the virtual pet doctor. For example, when the display policy is a top display, the personal information of the virtual pet physician is displayed on the top of the pet physician display page.
It can be seen that, in the embodiment of the application, after the assessment result of the virtual pet physician is determined, the personal information of the virtual pet can be displayed in a personalized manner based on the assessment result of the virtual pet physician, so that the virtual pet can be stimulated to try to improve the diagnosis quality, and the diagnosis quality of the virtual pet is improved.
In one embodiment of the present application, a plurality of first indices, a plurality of second indices, and a third index are first set, wherein the plurality of first indices are composed of career information of a virtual pet physician and diagnostic information of the virtual pet physician. Specifically, as shown in fig. 4, the plurality of first indices include: the working years of the virtual pet doctors, the graduates, the highest honor ever obtained, the times of the doctor visits, the duration of the doctor visits, the times of the adopted diagnosis and treatment schemes and the grade of the diagnosis and treatment schemes. Wherein the plurality of second indicators include, but are not limited to: occupational reliability and visit reliability, and the third index is target score. It should be noted that the above two second indicators are set, and the credibility of the virtual pet physician can be comprehensively determined by the individual study and work and the actual medical condition. For example, generally, the better the professional credibility is, that is, the better the graduates are, the higher the working years are, the higher the credibility of the given diagnosis and treatment plan is, the higher the target score of the virtual pet is, and similarly, the better the actual diagnosis condition is, the higher the corresponding target score should be. Therefore, the two second indexes are set to be combined to score each virtual pet physician, so that the score of each virtual pet physician is relatively accurate.
Further, as shown in fig. 4, a plurality of first indexes are set as a plurality of indexes in the scenario layer, a plurality of second indexes are set as a plurality of indexes in the criterion layer, and a third index is set as an index of the target layer. Therefore, according to the analytic hierarchy process, a plurality of first weights of the first indexes in the scheme layer relative to each second index in the criterion layer are determined, wherein the first indexes correspond to the first weights one to one. For example, a plurality of first weights of the working age, the graduates, the highest honor, the number of times of treatment, the length of treatment, the number of times of use of the treatment plan, and the score of the treatment plan relative to the occupational reliability can be determined.
Specifically, for each second index, a first importance of an influence of any two first indexes of the plurality of first indexes on each second index is obtained. And constructing a pair comparison matrix corresponding to each second index according to the first importance of the influence of any two first indexes on each second index.
Optionally, the first importance of the influence of any two first indexes on the second index is preset. For example, the predetermined working age is slightly more important than graduate schools than the first importance of graduate schools for occupational credibility. Thus, the ratio of the operating years to the graduates in the pairwise comparison matrix is 3.
Further, a first maximum feature root of the pair comparison matrix corresponding to each second index is obtained; and acquiring a first feature vector corresponding to the first maximum feature root, and taking each value in the first feature vector as a plurality of first weights of a plurality of first indexes relative to each second index.
Further, a pair of comparison matrices corresponding to the third index is constructed based on a plurality of second indexes, similarly to the above-described manner of constructing a pair of comparison matrices corresponding to each second index. Then, according to the pair comparison matrix corresponding to the third index, second weights corresponding to the plurality of second indexes relative to the third index are determined. Similarly, a second maximum feature root of the pair-wise comparison matrix corresponding to the third index may be obtained; and acquiring a second feature vector corresponding to the second maximum feature root, and taking each value in the second feature vector as a plurality of second weights of a plurality of second indexes relative to the third index respectively.
Further, the value of each virtual pet physician under a plurality of first indexes is determined according to the visit information of each virtual physician in a preset time period and the professional information of each virtual pet physician. The diagnosis information of each virtual physician in the preset time period includes the times of the virtual pet physician in the preset time period, the duration of each diagnosis, the times of the diagnosis and treatment scheme for each pet physician in the preset time period, and the grade of the diagnosis and treatment scheme. It should be noted that based on the professional information of the virtual pet physician, the value of the virtual pet physician under the first indexes of working age, graduation school and highest honor obtained once can be determined; then, determining the total length of the visit within a preset time period based on the length of the visit and the number of times of the visit of each visit, and taking the total length of the visit as a value under the first index of the length of the visit; if a plurality of diagnosis and treatment schemes exist in a preset time period, taking the average value of scores of the plurality of diagnosis and treatment schemes as a value under the first index of the scores of the diagnosis and treatment schemes. Thus, through the processing, the values of each virtual pet physician under the plurality of first indexes can be obtained.
Further, aiming at each virtual pet physician, according to the score table corresponding to each first index and the value of each first index, obtaining a first score of each virtual pet physician under each first index; then, weighting the first score of each virtual pet physician under each first index according to a plurality of first weights of the plurality of first indexes relative to each second index to obtain a second score of each virtual pet physician under each second index; then, according to a plurality of second weights of the plurality of second indexes relative to the third index, the second score of each virtual pet physician under each second index is weighted to obtain the score of each virtual pet physician under the third index, namely the target score of each virtual pet physician.
Illustratively, the virtual pet physicians are ranked in order of their goal scores from high to low, resulting in the display order of the virtual pet physicians. Finally, the personal information of each virtual pet physician is presented based on the presentation order of each virtual pet physician.
It can be seen that, in the embodiment of the application, the display sequence of each virtual pet physician is determined based on the analytic hierarchy process, and then the personal information of the virtual pet physicians is displayed based on the display sequence, which is not simply displayed according to the registration time, so that the diversity of the display of the personal information of the virtual pet physicians is improved.
In one embodiment of the present application, the data processing apparatus may further generate a virtual pet for the user. The process of generating the virtual pet according to the present application will be described in detail with reference to fig. 5.
Fig. 5 is a schematic view of a process of a virtual pet generation method according to an embodiment of the present application. The method includes but is not limited to the following steps:
501: the first user equipment sends a plurality of pet images to the data processing device, the pet images are obtained by shooting the entity pet at a plurality of shooting angles, and the shooting angles correspond to the pet images one by one.
Optionally, the plurality of shooting angles of the present application include, but are not limited to: a front side shooting angle, a rear side shooting angle, a left side shooting angle, a right side shooting angle, and a top-down shooting angle.
502: the data processing device respectively extracts the features of each pet image in the pet images to obtain the features of each body part of the entity pet.
Illustratively, the target detection is performed on the pet image corresponding to each shooting angle, so as to obtain the body part of the pet shot at each shooting angle.
Illustratively, target detection is performed on the pet image corresponding to each shooting angle through end-to-end target detection, so as to obtain a target in the pet image corresponding to each shooting angle and a category of the target, and thus obtain a body part of the pet shot at each shooting angle.
Exemplarily, as shown in fig. 6, feature extraction is performed on a pet image corresponding to each shooting angle to obtain a first feature map corresponding to the pet image; splitting the first feature map, for example, tiling to obtain a plurality of first feature vectors; fusing the first characteristic vectors with position codes respectively to obtain a plurality of second characteristic vectors, wherein the first characteristic vectors correspond to the second characteristic vectors one by one, and the position codes are used for representing the spatial relationship among pixel points in the pet image; encoding the plurality of second feature vectors to obtain a plurality of third feature vectors, for example, further performing feature extraction on the second feature vectors to obtain a plurality of third feature vectors; acquiring the type of the entity pet; acquiring a plurality of query vectors corresponding to each shooting angle according to each shooting angle and the category, wherein the plurality of query vectors are obtained by pre-training, and each query vector is used for representing a body characteristic of the entity pet of the category at the shooting angle, for example, a query vector at a front shooting angle is used for representing a head characteristic of the pet when the pet is shot at the front shooting angle; then, performing attention processing on the plurality of third feature vectors and the plurality of query vectors to obtain a plurality of fourth feature vectors; and finally, carrying out target detection according to the plurality of fourth feature vectors to obtain the body part shot at each shooting angle.
It should be noted that the body part is photographed differently at different photographing angles. For example, a frontal shooting angle may shoot the mouth, nose, etc. of a pet, a left lateral shooting angle may shoot a left contour, etc.; and different pets have different body parts under the same shooting angle, so that the corresponding query vectors are set for each pet under different shooting angles, and the target detection efficiency and precision are improved.
Further, after obtaining the body part in the pet image corresponding to each shooting angle, a candidate image corresponding to the body part can be intercepted from the pet image; and extracting the features of the candidate image to obtain the features corresponding to the body part. For example, the features of the body part captured at each capture angle include, but are not limited to, the size of the body part, the hair thinning degree, and the hair color, wherein the size can be characterized by the area of the body part in the pet image.
Specifically, feature extraction may be performed on the candidate image by a multitask model, and multitask prediction may be performed to obtain features corresponding to the body part.
And finally, performing feature fusion on the features of the body parts shot at a plurality of shooting angles to obtain the features of all the body parts of the pet. Specifically, the features of the body parts photographed at each photographing angle are combined to obtain the features of the body parts of the pet. For example, the mouth characteristic and the back characteristic of the physical pet can be obtained by combining the mouth characteristic captured from the front view angle and the back characteristic captured from the top view angle.
503: the data processing device determines the appearance image of the virtual pet according to the characteristics of each body part of the physical pet.
Illustratively, the pet maps corresponding to the body parts of the pets are determined according to the characteristics of the body parts of the pets, that is, the pet maps corresponding to the body parts are determined according to the mapping relationship between the characteristics of the body parts and the pet maps. For example, if the physical pet is a cat, the body part is a head, and the color of the head is black and white, a pet map capable of generating the cat with black and white can be obtained from a pet map library, wherein each pet map in the pet map library is configured in advance. And finally, superposing the determined pet pictures corresponding to the body parts to obtain the appearance image of the virtual pet.
504: and the data processing device generates a virtual pet according to the appearance image, and places the virtual pet in a virtual environment to obtain a target virtual environment.
For example, the data processing device may further acquire the adapted virtual environment after generating the virtual pet. For example, the data processing device obtains a basic virtual environment corresponding to the category of the virtual pet, as shown in fig. 7, the category of the virtual pet is cat, and the elements in the basic virtual environment adapted to the cat include grass and pine; then adjusting the weather in the basic virtual environment by combining the current weather information to obtain the adapted virtual environment, as shown in fig. 7, if the current weather is rainy and windy, adding elements of wind and rain in the basic virtual environment to generate the adapted virtual environment; and finally, placing the virtual pet in the adapted virtual environment to generate a target virtual environment. For example, the virtual pet is placed in the region with the least elements to generate the target virtual environment. As shown in fig. 7, placing a cat into an adapted virtual environment may generate a target virtual environment.
505: the data processing apparatus sends a target virtual environment to the first user device, the target virtual environment including a virtual pet.
Illustratively, the data processing apparatus sends the target virtual environment to the first user equipment, and essentially sends the relevant parameters of the target virtual environment to the first user equipment; the first user device, upon receiving the relevant parameters, may render so that the target virtual environment, and thus the virtual pet, may be displayed on the interface.
It can be seen that when a user wants to generate a virtual pet, a plurality of pet images taken of a physical pet at a plurality of taking angles can be uploaded to the data processing device. The data processing device can extract the characteristics of the pet images to obtain the characteristics of each body part of the entity pet. Then, based on the characteristics of each body part, the appearance image of the virtual pet is configured, namely the virtual pet which is the same as the entity pet is configured, the user does not need to do any complex configuration work, the generation of the virtual pet is simplified, the complexity of generating the virtual pet is reduced, and the generation efficiency and the user experience of the virtual pet are improved.
Referring to fig. 8, fig. 8 is a block diagram illustrating functional units of a data processing apparatus according to an embodiment of the present disclosure. The data processing apparatus 800 includes: a receiving unit 801, a processing unit 802, and a transmitting unit 803, wherein:
a receiving unit 801, configured to receive physiological data of a virtual pet from a first user device, where the first user device is a device of a user of the virtual pet;
a sending unit 803, configured to send the physiological data to a second user device, so as to perform disease diagnosis on the virtual pet, where the second user device is a device of a virtual pet physician;
a receiving unit 801, further configured to receive, from the second user equipment, a diagnosis and treatment plan for the virtual pet, where the diagnosis and treatment plan is a diagnosis and treatment plan made by the virtual pet physician for the virtual pet based on the physiological data;
a sending unit 803, further configured to send the diagnosis and treatment plan to the first user equipment, so that the user treats the virtual pet based on the diagnosis and treatment plan;
a receiving unit 801, further configured to receive recovery data of the virtual pet from the first user equipment;
the processing unit 802 is configured to perform an examination on the virtual pet physician according to the diagnosis and treatment plan, the recovery data, and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
In an embodiment of the application, in terms of performing an assessment on the virtual pet physician according to the diagnosis and treatment plan, the recovery data, and the professional information of the virtual pet physician to obtain a goal assessment result of the virtual pet physician, the processing unit 802 is specifically configured to:
obtaining a first assessment result under a resource consumption dimension according to the diagnosis and treatment scheme;
determining the cure degree of the virtual pet according to the recovery data;
determining the authority of the virtual pet physician according to the professional information of the virtual pet physician;
and determining a target assessment result of the virtual pet physician according to the first assessment result, the cure degree and the authority.
In an embodiment of the present application, in terms of obtaining a first assessment result in a resource consumption dimension according to the diagnosis and treatment plan, the processing unit 802 is specifically configured to:
determining the name of the disease suffered by the virtual pet according to the diagnosis and treatment scheme;
determining the average resource consumption condition of the disease name according to the disease name;
determining the resource consumption condition of the virtual pet according to the diagnosis and treatment scheme;
and determining the first assessment result according to the average resource consumption condition and the resource consumption condition.
In an embodiment of the application, in determining the resource consumption of the virtual pet according to the diagnosis and treatment plan, the processing unit 802 is specifically configured to:
acquiring a plurality of operation processes required by each diagnosis and treatment project user;
determining the operation duration of the user in each operation process of the plurality of operation processes of each diagnosis and treatment item according to the operation habits of the user;
summing the operation time of the user in each operation process to obtain the operation duration of the user in each diagnosis and treatment item;
weighting the operation durations of the plurality of diagnosis and treatment items according to the weight of each diagnosis and treatment item to obtain a target operation duration;
acquiring the cost investment of the user on each diagnosis and treatment project;
summing the cost investments of the plurality of diagnosis and treatment projects to obtain a target cost investment;
and investing the target operation duration and the target cost as the resource consumption condition of the virtual pet.
In one embodiment of the present application, the recovery data includes a current physiological state of the virtual pet; in terms of determining the cure degree of the virtual pet according to the recovery data, the processing unit 802 is specifically configured to:
acquiring the growth time of the virtual pet from receiving the recovery data;
predicting the current growth state of the virtual pet according to the growth rule of the virtual pet and the growth time;
and determining the cure degree of the virtual pet according to the current growth state and the current physiological state.
In one embodiment of the present application, in determining the objective assessment results of the virtual pet physician based on the first assessment results, the degree of cure, and the authority, the processing unit 802 is specifically configured to:
and performing product processing on the first assessment result, the cure degree and the authority to obtain a target assessment result of the virtual pet physician.
In an embodiment of the present application, the processing unit 802 is further configured to:
acquiring a plurality of objective assessment results of the virtual pet physician within a preset time;
determining a display strategy of the virtual pet physician according to the plurality of objective assessment results;
and displaying the personal information of the virtual pet physician on a front-end webpage according to the display strategy.
Referring to fig. 9, fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 9, the electronic device 900 includes a transceiver 901, a processor 902, and a memory 903. Connected to each other by a bus 904. The memory 903 is used to store computer programs and data, and may transfer the data stored in the memory 903 to the processor 902.
The processor 902 is configured to read the computer program in the memory 903 to perform the following operations:
controlling the transceiver 901 to receive physiological data of a virtual pet from a first user device, wherein the first user device is a device of a user of the virtual pet;
sending the physiological data to a second user device so as to diagnose the disease of the virtual pet, wherein the second user device is a device of a virtual pet physician;
receiving a diagnosis and treatment plan for the virtual pet from the second user equipment, wherein the diagnosis and treatment plan is made for the virtual pet by the virtual pet doctor based on the physiological data;
sending the diagnosis and treatment scheme to the first user equipment so that the user can treat the virtual pet based on the diagnosis and treatment scheme;
receiving recovery data for the virtual pet from the first user device;
and examining the virtual pet physicians according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physicians to obtain target examination results of the virtual pet physicians.
In an embodiment of the present application, in examining the virtual pet physician according to the diagnosis and treatment plan, the recovery data, and the professional information of the virtual pet physician to obtain an objective examination result of the virtual pet physician, the processor 902 is specifically configured to perform the following operations:
obtaining a first assessment result under a resource consumption dimension according to the diagnosis and treatment scheme;
determining the cure degree of the virtual pet according to the recovery data;
determining the authority of the virtual pet physician according to the professional information of the virtual pet physician;
and determining a target assessment result of the virtual pet physician according to the first assessment result, the cure degree and the authority.
In an embodiment of the present application, in terms of obtaining a first assessment result in a resource consumption dimension according to the diagnosis and treatment plan, the processor 902 is specifically configured to perform the following operations:
determining the name of the disease suffered by the virtual pet according to the diagnosis and treatment scheme;
determining the average resource consumption condition of the disease name according to the disease name;
determining the resource consumption condition of the virtual pet according to the diagnosis and treatment scheme;
and determining the first assessment result according to the average resource consumption condition and the resource consumption condition.
In one embodiment of the application, in determining the resource consumption of the virtual pet according to the diagnosis and treatment plan, the processor 902 is specifically configured to:
acquiring a plurality of operation processes required by each diagnosis and treatment project user;
determining the operation duration of the user in each operation process of the plurality of operation processes of each diagnosis and treatment item according to the operation habits of the user;
summing the operation time of the user in each operation process to obtain the operation duration of the user in each diagnosis and treatment item;
weighting the operation durations of the plurality of diagnosis and treatment items according to the weight of each diagnosis and treatment item to obtain a target operation duration;
acquiring the cost investment of the user on each diagnosis and treatment project;
summing the cost investments of the plurality of diagnosis and treatment projects to obtain a target cost investment;
and investing the target operation duration and the target cost as the resource consumption condition of the virtual pet.
In one embodiment of the present application, the recovery data includes a current physiological state of the virtual pet; in determining the degree of cure for the virtual pet based on the recovery data, the processor 902 is specifically configured to:
acquiring the growth time of the virtual pet from receiving the recovery data;
predicting the current growth state of the virtual pet according to the growth rule of the virtual pet and the growth time;
and determining the cure degree of the virtual pet according to the current growth state and the current physiological state.
In one embodiment of the present application, in determining the objective assessment results of the virtual pet physician based on the first assessment results, the degree of cure, and the authority, the processor 902 is specifically configured to:
and performing product processing on the first assessment result, the cure degree and the authority to obtain a target assessment result of the virtual pet physician.
In one embodiment of the present application, the processor 902 is further configured to perform the following operations:
acquiring a plurality of objective assessment results of the virtual pet physician within a preset time;
determining a display strategy of the virtual pet physician according to the plurality of objective assessment results;
and displaying the personal information of the virtual pet physician on a front-end webpage according to the display strategy.
Specifically, the transceiver 901 may be the receiving unit 801 and the transmitting unit 803 of the data processing apparatus 800 according to the embodiment shown in fig. 8, and the processor 902 may be the processing unit 802 of the data processing apparatus 800 according to the embodiment shown in fig. 8.
It should be understood that the electronic device in the present application may include a smart Phone (e.g., an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a Mobile Internet device MID (MID), a wearable device, or the like. The above mentioned electronic devices are merely examples, not exhaustive, and include but are not limited to the above mentioned electronic devices. In practical applications, the electronic device may further include: intelligent vehicle-mounted terminal, computer equipment and the like.
Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, where the computer program is executed by a processor to implement part or all of the steps of any one of the data processing methods described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the data processing methods as set forth in the above method embodiments.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application, in essence or part of the technical solutions contributing to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps of the methods of the above embodiments may be implemented by a program, which is stored in a computer-readable memory, the memory including: flash Memory disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing embodiments have been described in detail, and specific examples are used herein to explain the principles and implementations of the present application, where the above description of the embodiments is only intended to help understand the method and its core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method of data processing, comprising:
receiving physiological data of a virtual pet from a first user device, wherein the first user device is a device of a user of the virtual pet;
sending the physiological data to a second user device so as to diagnose the disease of the virtual pet, wherein the second user device is a device of a virtual pet physician;
receiving a diagnosis plan for the virtual pet from the second user equipment, the diagnosis plan being a diagnosis plan made by the virtual pet physician for the virtual pet based on the physiological data;
sending the diagnosis and treatment scheme to the first user equipment so that the user can treat the virtual pet based on the diagnosis and treatment scheme;
receiving recovery data for the virtual pet from the first user device;
and examining the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
2. The method according to claim 1, wherein the assessing the virtual pet physician according to the diagnosis and treatment plan, the recovery data and the professional information of the virtual pet physician to obtain a goal assessment result of the virtual pet physician comprises:
obtaining a first assessment result under the resource consumption dimension according to the diagnosis and treatment scheme;
determining the cure degree of the virtual pet according to the recovery data;
determining the authority of the virtual pet physician according to the professional information of the virtual pet physician;
and determining a target assessment result of the virtual pet physician according to the first assessment result, the cure degree and the authority.
3. The method according to claim 2, wherein obtaining a first assessment result in a resource consumption dimension according to the diagnosis and treatment plan comprises:
determining the name of the disease suffered by the virtual pet according to the diagnosis and treatment scheme;
determining the average resource consumption condition of the disease name according to the disease name;
determining the resource consumption condition of the virtual pet according to the diagnosis and treatment scheme;
and determining the first assessment result according to the average resource consumption condition and the resource consumption condition.
4. The method according to claim 3, wherein determining the resource consumption of the virtual pet according to the diagnosis and treatment plan comprises:
acquiring a plurality of operation processes required by each diagnosis and treatment project user;
determining the operation duration of the user in each operation process of a plurality of operation processes of each diagnosis and treatment project according to the operation habits of the user;
summing the operation time of the user in each operation process to obtain the operation duration of the user in each diagnosis and treatment item;
weighting the operation durations of the plurality of diagnosis and treatment items according to the weight of each diagnosis and treatment item to obtain a target operation duration;
acquiring the cost investment of the user on each diagnosis and treatment project;
summing the cost investments of the plurality of diagnosis and treatment items to obtain a target cost investment;
and investing the target operation duration and the target cost as the resource consumption condition of the virtual pet.
5. The method according to any one of claims 2-4, wherein the recovery data includes a current physiological state of the virtual pet; the determining the cure degree of the virtual pet according to the recovery data comprises the following steps:
acquiring the growth time of the virtual pet from receiving the recovery data;
predicting the current growth state of the virtual pet according to the growth rule of the virtual pet and the growth time;
and determining the cure degree of the virtual pet according to the current growth state and the current physiological state.
6. The method of any of claims 2-5, wherein said determining a goal assessment result for the virtual pet physician based on the first assessment result, the degree of cure, and the authority comprises:
and performing product processing on the first assessment result, the cure degree and the authority to obtain a target assessment result of the virtual pet physician.
7. The method according to any one of claims 1-6, further comprising:
acquiring a plurality of objective assessment results of the virtual pet physician within a preset time;
determining a display strategy of the virtual pet physician according to the plurality of objective assessment results;
and displaying the personal information of the virtual pet physician on a front-end webpage according to the display strategy.
8. A data processing apparatus, comprising: a receiving unit, a processing unit and a transmitting unit;
the receiving unit is used for acquiring physiological data of a virtual pet from first user equipment, wherein the first user equipment is equipment of a user of the virtual pet;
the sending unit is used for sending the physiological data to second user equipment so as to diagnose the disease of the virtual pet, wherein the second user equipment is equipment of a virtual pet physician;
the receiving unit is further configured to receive a diagnosis and treatment plan for the virtual pet from the second user equipment, where the diagnosis and treatment plan is a diagnosis and treatment plan made by the virtual pet physician for the virtual pet based on the physiological data;
the sending unit is further configured to send the diagnosis and treatment plan to the first user equipment, so that the user can treat the virtual pet based on the diagnosis and treatment plan;
the receiving unit is further used for receiving recovery data of the virtual pet from the first user equipment;
the processing unit is used for examining the virtual pet physician according to the diagnosis and treatment scheme, the recovery data and the professional information of the virtual pet physician to obtain a target examination result of the virtual pet physician.
9. An electronic device, comprising: a processor coupled to the memory, and a memory for storing a computer program, the processor being configured to execute the computer program stored in the memory to cause the electronic device to perform the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210807945.9A CN115300912A (en) | 2022-07-08 | 2022-07-08 | Data processing method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210807945.9A CN115300912A (en) | 2022-07-08 | 2022-07-08 | Data processing method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115300912A true CN115300912A (en) | 2022-11-08 |
Family
ID=83857340
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210807945.9A Pending CN115300912A (en) | 2022-07-08 | 2022-07-08 | Data processing method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115300912A (en) |
-
2022
- 2022-07-08 CN CN202210807945.9A patent/CN115300912A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ehinger et al. | Modelling search for people in 900 scenes: A combined source model of eye guidance | |
| US20180357514A1 (en) | Surgical simulation for training detection and classification neural networks | |
| CN111292839B (en) | Image processing method, image processing device, computer equipment and storage medium | |
| CN110349156A (en) | The recognition methods of lesion characteristics and device, storage medium in the picture of eyeground | |
| JP6734457B1 (en) | Disease prediction system, insurance premium calculation system and disease prediction method | |
| CN109310196B (en) | Makeup assisting device and makeup assisting method | |
| CN107704834A (en) | Householder method, device and storage medium are examined in micro- expression face | |
| CN110276411A (en) | Image classification method, device, equipment, storage medium and medical treatment electronic equipment | |
| CN109255297A (en) | animal state monitoring method, terminal device, storage medium and electronic equipment | |
| CN106295591A (en) | Gender identification method based on facial image and device | |
| CN106326857A (en) | Gender identification method and gender identification device based on face image | |
| CN104182723B (en) | A kind of method and apparatus of sight estimation | |
| US20200372639A1 (en) | Method and system for identifying skin texture and skin lesion using artificial intelligence cloud-based platform | |
| CN114612960A (en) | Method and device for traditional Chinese medicine health management through facial image | |
| CN110175522A (en) | Work attendance method, system and Related product | |
| CN109685048A (en) | Human body measurement method, device, terminal and storage medium | |
| CN115300912A (en) | Data processing method and device, electronic equipment and storage medium | |
| CN110443122A (en) | Information processing method and Related product | |
| Wang et al. | Style transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities | |
| KR102634820B1 (en) | control method for bio-based exercise management applications | |
| KR102303862B1 (en) | Online livestock auction device and method using artificial intelligence | |
| KR102139316B1 (en) | Server operating reptile trading platform and method for operating the same | |
| KR100915922B1 (en) | Methods and System for Extracting Facial Features and Verifying Sasang Constitution through Image Recognition | |
| CN110322964B (en) | Health state display method and device, computer equipment and storage medium | |
| KR101972757B1 (en) | Method for providing sasang constitution checking service with physiognomy and reflex movement of ear stimulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |