CN113642745B - Garden data acquisition method and system - Google Patents
Garden data acquisition method and system Download PDFInfo
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- CN113642745B CN113642745B CN202110919024.7A CN202110919024A CN113642745B CN 113642745 B CN113642745 B CN 113642745B CN 202110919024 A CN202110919024 A CN 202110919024A CN 113642745 B CN113642745 B CN 113642745B
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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Abstract
The invention discloses a garden data acquisition method and system, which are characterized in that evaluation data are acquired through a network server for preprocessing, a main server generates a scenic spot recommendation list and sends the scenic spot recommendation list to a tourist terminal, and then, a viewing information and a scenic spot guide list are sent to the tourist terminal, and curing information and a similar plant map model are sent to a curing terminal. According to the invention, evaluation data of a target garden is acquired through the network server, supervision of garden management is realized by utilizing the network, scenic spot recommendation orders are sent to the tourist terminals, so that the tourist terminals can acquire the appreciation information through plant identification and update the scenic spot guide list according to the actual tourist situation, the tourist can be guided in a sightseeing way, and the maintenance terminal can enable a garden maintenance person to accurately acquire the maintenance requirement of plants through plant identification.
Description
[ field of technology ]
The invention relates to the technical field of gardens, in particular to a method and a system for collecting garden data.
[ background Art ]
The natural environment and recreation overseas domain which are created by modifying terrains, planting trees, flowers and grass, building buildings, arranging garden ways and the like are utilized in certain regions, the garden is called gardens, the garden has a plurality of extensive concepts, such as garden communities, garden streets, garden cities, national garden counties and the like, modern life forms and life environments have urgent functional and artistic requirements for gardens, and have more and more important roles for modern life and future people development directions.
The existing garden management system is not intelligent and perfect enough, and because of various flowers, plants and trees in the garden, not only can the garden maintenance personnel not accurately acquire the maintenance requirements of the plants, but also tourists can not acquire the relevant knowledge information of the plants, so that the play fun is reduced; in addition, intelligent management of gardens cannot be achieved by matching maintenance personnel and tourists.
Summary of the invention
In view of the above, the embodiment of the invention provides a garden data acquisition method and system.
In a first aspect, an embodiment of the present invention provides a method for collecting garden data, where the method includes:
S1, a network server acquires evaluation data of a target garden from a preset network platform, sends the preprocessed evaluation data to a main server, and sends poor evaluation data in a preset period to a maintenance terminal;
s2, the main server sorts scenic spots of different gardens, generates a scenic spot recommendation list with scenic spot information, acquires registration information and position information of the tourist terminal, and sends the scenic spot recommendation list to the tourist terminal;
s3, the main server establishes a map model to store the position information of all garden numbered plants, acquires the appreciative information of the target numbered plants from a plant information database and sends the appreciative information to the tourist terminal if the number identification request sent by the tourist terminal is received, and sends a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist;
and S4, if the number identification request sent by the maintenance terminal is received, acquiring maintenance information of the target number plant from the plant information database, sending the maintenance information to the maintenance terminal, and establishing a similar plant map model of the target number plant to send the maintenance terminal.
Aspects and any possible implementation manner as described above, further provide an implementation manner, where the preprocessing specifically includes:
S10, capturing comments under a target garden theme in a preset network platform by using a crawler tool;
s11, deleting redundant comments and only reserving one comment when the same user publishes the same comment number of the same platform in a first time period is larger than a first threshold;
s12, deleting all comments of the same user when the comment number of the same platform is larger than a second threshold value in a second time period or when the comment number of the same user in a third time period is larger than a third threshold value in a different platform, wherein the third time period is larger than the second time period, the second time period is larger than the first time period, and the second threshold value is larger than the third threshold value;
s13, acquiring comment texts, performing word segmentation, deleting punctuation marks, digital English characters and stop words and mood auxiliary words;
s14, comparing the word segmentation with a pre-constructed semantic dictionary, and classifying the comments into two types, wherein the data of good comments are one type, and the data of medium comments and poor comments are one type.
In the aspect and any possible implementation manner described above, there is further provided an implementation manner, the main server ranks scenic spots of different gardens according to an evaluation score S, where a calculation formula of the evaluation score S is as follows:
Wherein S is j Evaluation score, alpha, representing park sight j j Representing the number of likes of the scene point j in the predetermined period, β representing the total number of likes of gardens in the predetermined period, x representing the total number of comments of gardens in the predetermined period, y j A difference score, m, representing the scene point j over a predetermined period of time ij Indicating an i-th praise endorsement for the attraction j for a predetermined period of time,representing an average praise number, t, of comments about the campus over a predetermined period of time ij Indicating the ith good release time, f, for sight j j Indicating the access frequency of view point j within a predetermined period,/-, for a predetermined period of time>Represents the average access frequency, w, of gardens over a predetermined period of time 1 Represents a first weight, w 2 Represents a second weight, and w 1 +w 2 ＝1。
The aspect and any possible implementation manner as described above further provide an implementation manner, where the sending, according to a motion trail of a guest, a attraction guide list with attraction information to a guest terminal specifically includes:
s30, judging whether the update period is reached after the registration information of the tourist terminal is acquired, and if so, acquiring the path information and the latest position information of the tourist terminal;
s31, sorting scenic spots of different gardens not passed by the tourists according to the recommended score R;
s32, sending the scenic spot guide list with the scenic spot information to the tourist terminal.
In the aspect and any possible implementation manner as described above, there is further provided an implementation manner, where a calculation formula of the recommendation score R is as follows:
wherein R is j Recommendation score, S, representing campus sight j j An evaluation score, d, representing a park sight j * Representing the distance of the tourist terminal in garden, d j Representing the distance, m, of the guest terminal from the park scenic spot j j Representing the number of tourist terminals, theta, of the park where the scenic spot j is located j Representing the area, k, of the park where the scenic spot j is located 0 The total number of plant number identification requests, k, representing guest terminals j Representing the total number of numbered plants, k, of the park where the attraction j is located j * The number of numbered plants which are the same type of plants and are requested to be identified by tourist terminals in the park where the scenic spot j is located is represented, a, b and c represent weights, and the weights are 1, and a is more than b and more than c.
Aspects and any one of the possible implementations as described above, further providing an implementation, the method further including:
the method comprises the steps that a main server receives a laxative or maintenance request of a designated park, wherein the laxative or maintenance request is sent by a maintenance terminal, and a selected time period is added to the laxative or maintenance request;
the main server deletes the scenic spots in the appointed park from the scenic spot recommendation list and the scenic spot guide list in the appointed time period;
The host server acquires the position of the tourist terminal in a specified time period, and when the tourist terminal enters a specified park, the host server sends reminding information to the tourist terminal.
Aspects and any one of the possible implementations as described above, further providing an implementation, the method further including:
s5, the main server is M with highest evaluation score S 0 The scenic spot of the park is endowed with a key scenic spot mark;
s6, the main server acquires soil humidity data sent by humidity sensors arranged in different gardens, judges whether water is deficient, and if the water is deficient, counts the number M of tourist terminals in the water deficient gardens;
s7, if the number M of the guest terminals is less than or equal to the first number threshold M 1 When the water is in the water shortage park, the spray heads arranged in the water shortage park are controlled to spray and irrigate;
s8, if the number M of the guest terminals is more than or equal to the first number threshold M 2 When the water is in a water shortage park, the spray heads arranged in the water shortage park are controlled to stop spraying irrigation;
s9, if the first quantity threshold M 1 < number of guest terminals M < first number threshold M 2 And if the key scenic spots exist in the water-deficient park, the main server controls the spray heads arranged in the water-deficient park to perform intelligent spray irrigation.
Aspects and any one of the possible implementations as described above, further provide an implementation, the intelligent spray irrigation specifically includes:
s90a, a main server acquires position information of a tourist terminal and a spray head, wherein the spray head is an adjustable spray head of an injection angle;
s91a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 1 +distance threshold L 0 When the spray distance is adjusted, a spray distance adjusting instruction is sent to the spray head, so that the spray distance of the spray head is adjusted and kept to be the spray distance L 2 Wherein, the spraying distance L 1 Maximum spray distance L for spray head 2 Spraying the spray head with a minimum distance;
s92a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 2 +distance threshold L 0 And when the water is sprayed, the spray head is controlled to stop spraying irrigation.
Aspects and any one of the possible implementations as described above, further provide an implementation, the intelligent spray irrigation specifically includes:
s90b, the main server acquires the position information of the tourist terminal and the monitoring data of the cameras arranged in the water-deficient park;
s91b, predicting the action track of the tourist through a prediction model;
and S92b, if the tourist is predicted to enter the spraying range of the spray head, stopping spraying until the tourist is far away from the spraying range.
In a second aspect, an embodiment of the present invention provides a garden data acquisition system, the system comprising:
the network server is used for acquiring evaluation data of the target gardens from a preset network platform, sending the preprocessed evaluation data to the main server, and sending poor evaluation data in a preset period to the maintenance terminal;
the main server is used for sequencing scenic spots of different gardens, generating a scenic spot recommendation list with scenic spot information, acquiring registration information and position information of the tourist terminal, and sending the scenic spot recommendation list to the tourist terminal; establishing a map model to store the position information of all garden number plants, if a number identification request sent by a tourist terminal is received, acquiring the appreciation information of a target number plant from a plant information database, sending the obtained information to the tourist terminal, and sending a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist; if a serial number identification request sent by a maintenance terminal is received, maintenance information of the plant with the target serial number is obtained from a plant information database and sent to the maintenance terminal, and a similar plant map model of the plant with the target serial number is built to send the maintenance terminal;
The tourist terminal is used for sending registration information and position information to the main server and sending a number identification request to the main server;
and the maintenance terminal is used for receiving the bad evaluation data sent by the network server and sending a number identification request to the main server.
One of the above technical solutions has the following beneficial effects:
the method and the system for collecting the garden data are provided in the embodiment of the invention, the method obtains the evaluation data of the target garden through the network server, supervision on garden management is realized by utilizing the network, the scenic spot recommendation list is sent to the tourist terminal, so that the tourist terminal can timely, accurately and completely obtain the appreciative analysis information of garden plants through plant identification, the scenic spot guide list is updated according to the actual tourist situation, the tourist can be guided in a tourist, and the curing terminal can enable a garden curing personnel to accurately obtain the curing requirement of the plant through plant identification.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of S1-S4 of a garden data acquisition method provided by an embodiment of the invention;
fig. 2 is a schematic flow chart of S10-S14 of the garden data collecting method provided by the embodiment of the invention;
fig. 3 is a schematic flow chart of S30-S32 of the garden data collecting method provided by the embodiment of the invention;
fig. 4 is a schematic flow chart of S5-S9 of the garden data collecting method provided by the embodiment of the invention;
fig. 5 is a schematic flow chart of S90a-S92a of the garden data collecting method according to the embodiment of the present invention;
fig. 6 is a schematic flow chart of S90b-S92b of the garden data collecting method according to the embodiment of the present invention;
FIG. 7 is a block diagram of a garden data collection system provided by an embodiment of the present invention;
fig. 8 is a schematic hardware diagram of a server device according to an embodiment of the present invention.
[ detailed description ] of the invention
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of S1-S4 of a garden data collection method according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for collecting garden data, which includes:
s1, a network server acquires evaluation data of a target garden from a preset network platform, sends the preprocessed evaluation data to a main server, and sends poor evaluation data in a preset period to a maintenance terminal;
s2, the main server sorts scenic spots of different gardens, generates a scenic spot recommendation list with scenic spot information, acquires registration information and position information of the tourist terminal, and sends the scenic spot recommendation list to the tourist terminal;
s3, the main server establishes a map model to store the position information of all garden numbered plants, acquires the appreciative information of the target numbered plants from a plant information database and sends the appreciative information to the tourist terminal if the number identification request sent by the tourist terminal is received, and sends a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist;
and S4, if the number identification request sent by the maintenance terminal is received, acquiring maintenance information of the target number plant from the plant information database, sending the maintenance information to the maintenance terminal, and establishing a similar plant map model of the target number plant to send the maintenance terminal.
According to the invention, the evaluation data of the target gardens are obtained from the preset network platform through the network server, and the poor evaluation data in the preset period are sent to the maintenance terminal, so that the defect that the gardens are unilaterally managed by a management party in reality is overcome, supervision on garden management is realized through the network, and assistance is provided for maintenance and improvement of the gardens; the main server sorts the scenic spots of different gardens through the evaluation data provided by the network server, acquires the registration information and the position information of the tourist terminals, and sends the scenic spot recommendation list to the tourist terminals, the scenic spots of the scenic spot recommendation list are sorted by scores, and the tourists can quickly and clearly know the outline of the gardens according to the scenic spot recommendation list, so that tourist assistance is provided for the tourists which cannot know the gardens, and the problem that the tourists forget the scenic spots which are browsed are regrettable can be avoided; the diversity and ornamental value of garden plants are also obvious characteristics of gardens, the main server establishes a map model to store the position information of all garden number plants, if a number identification request sent by a tourist terminal is received, the appreciative information of the target number plants is obtained from a plant information database and is sent to the tourist terminal, so that the appreciative information of the garden plants can be timely, accurately and completely obtained by tourists, the play fun can be increased, and especially for loving plants or tourists with children; the main server sends a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist, updates the scenic spot guide list according to the actual tourist, can realize the tourist guide, and provides timely and effective tourist services for the tourist; if the main server receives a number identification request sent by the maintenance terminal, maintenance information of a target number plant is obtained from a plant information database and sent to the maintenance terminal, and a similar plant map model of the target number plant is established to send the maintenance terminal, so that a garden maintenance person can accurately obtain the maintenance requirement of the plant, on one hand, the garden maintenance assistance is provided for the maintenance person, and the knowledge storage of the maintenance person on the plant is improved, on the other hand, the cost of a garden party, in particular, the survival rate of the garden plant and the recruitment and training cost of the person are saved; therefore, the garden data acquisition method and system can be matched with maintenance personnel and tourists to realize intelligent management of gardens.
Referring to fig. 2, fig. 2 is a schematic flow chart of S10-S14 of a garden data collecting method according to an embodiment of the present invention. As shown in fig. 2, the preprocessing in the embodiment of the present invention specifically includes:
s10, capturing comments under a target garden theme in a preset network platform by using a crawler tool;
s11, deleting redundant comments and only reserving one comment when the same user publishes the same comment number of the same platform in a first time period is larger than a first threshold;
s12, deleting all comments of the same user when the comment number of the same platform is larger than a second threshold value in a second time period or when the comment number of the same user in a third time period is larger than a third threshold value in a different platform, wherein the third time period is larger than the second time period, the second time period is larger than the first time period, and the second threshold value is larger than the third threshold value;
s13, acquiring comment texts, performing word segmentation, deleting punctuation marks, digital English characters and stop words and mood auxiliary words;
s14, comparing the word segmentation with a pre-constructed semantic dictionary, and classifying the comments into two types, wherein the data of good comments are one type, and the data of medium comments and poor comments are one type.
According to the embodiment of the invention, the crawler tool is used for capturing comments under the target garden theme in the preset network platform, when the same user publishes the same comment number in the same platform in a first time period and is greater than a first threshold value in the comment data processing process, the network delay or the network fault is determined, so that redundant comments are deleted in an unnecessary mode, and only one comment is reserved; when the number of comments posted by the same user on the same platform in a second time period is larger than a second threshold value, or when the number of comments posted by the same user on different platforms in a third time period is larger than a third threshold value, deleting all comments of the same user, wherein the third time period is larger than the second time period, the second time period is larger than the first time period, the second threshold value is larger than the third threshold value, triggering the condition, and judging that the comments are water army or malicious comments, and deleting all comments of the user; the method comprises the steps of obtaining comment texts, dividing words, deleting punctuation marks and digital English characters, stopping words and mood aid words, comparing through a pre-constructed semantic dictionary after dividing words, and classifying the comments by using the existing semantic dictionary or manually adding the existing words through labeling, wherein the classification of the semantic dictionary is rapid and efficient.
In addition, the main server of the embodiment of the invention sorts the scenic spots of different gardens according to the evaluation score S, wherein the calculation formula of the evaluation score S is as follows:
wherein S is j Evaluation score, alpha, representing park sight j j Representing the number of likes of the scene point j in the predetermined period, β representing the total number of likes of gardens in the predetermined period, x representing the total number of comments of gardens in the predetermined period, y j A difference score, m, representing the scene point j over a predetermined period of time ij Indicating an i-th praise endorsement for the attraction j for a predetermined period of time,representing an average praise number, t, of comments about the campus over a predetermined period of time ij Indicating the ith good release time, f, for sight j j Indicating the access frequency of view point j within a predetermined period,/-, for a predetermined period of time>Represents the average access frequency, w, of gardens over a predetermined period of time 1 Represents a first weight, w 2 Represents a second weight, and w 1 +w 2 ＝1。
According to the embodiment of the invention, the scenic spots of different gardens are ordered through the evaluation score S, the interference of artificial subjective factors can be avoided, the evaluation score S can realize objective scoring and ordering of the scenic spots of different gardens according to the scoring number, the access frequency, the time attenuation and other factors of the scenic spots, and the scenic spots are used for generating a scenic spot recommendation list, so that tourists can quickly and clearly know the outline of the gardens according to the scenic spot recommendation list.
Referring to fig. 3, fig. 3 is a flowchart of S30-S32 of a garden data collection method according to an embodiment of the present invention. As shown in fig. 3, the embodiment of the present invention sends, to a guest terminal, a scenic spot guide list with scenic spot information attached thereto according to a movement track of the guest, and specifically includes:
s30, judging whether the update period is reached after the registration information of the tourist terminal is acquired, and if so, acquiring the path information and the latest position information of the tourist terminal;
s31, sorting scenic spots of different gardens not passed by the tourists according to the recommended score R;
s32, sending the scenic spot guide list with the scenic spot information to the tourist terminal.
The calculation formula of the recommendation score R is as follows:
wherein R is j Recommendation score, S, representing campus sight j j An evaluation score, d, representing a park sight j * Representing the distance of the tourist terminal in garden, d j Representing the distance, m, of the guest terminal from the park scenic spot j j Representing the number of tourist terminals, theta, of the park where the scenic spot j is located j Representing the area, k, of the park where the scenic spot j is located 0 The total number of plant number identification requests, k, representing guest terminals j Representing the total number of numbered plants, k, of the park where the attraction j is located j * The number of numbered plants which are the same type of plants and are requested to be identified by tourist terminals in the park where the scenic spot j is located is represented, a, b and c represent weights, and the weights are 1, and a is more than b and more than c.
When the updating period is reached, the scenic spots of different gardens, which are not passed by the tourists, are ordered according to the recommended score R, wherein the recommended score R can comprehensively measure the cost performance of the different scenic spots on the tourists according to factors such as the evaluation score of the scenic spots, the distance between the paths, the density of the tourists, the number of plants of the tourist terminals, the total number of numbered plants of the garden where the scenic spots are located and the like, and the scenic spot guide list with scenic spot information is sent to the tourist terminals, so that the tourists are guided in the way of the tourist, and the tourist experience of the tourists is increased.
In addition, the method of the embodiment of the invention further comprises the following steps:
the method comprises the steps that a main server receives a laxative or maintenance request of a designated park, wherein the laxative or maintenance request is sent by a maintenance terminal, and a selected time period is added to the laxative or maintenance request;
the main server deletes the scenic spots in the appointed park from the scenic spot recommendation list and the scenic spot guide list in the appointed time period;
the host server acquires the position of the tourist terminal in a specified time period, and when the tourist terminal enters a specified park, the host server sends reminding information to the tourist terminal.
According to the embodiment of the invention, the main server receives the laxative or maintenance request of the appointed park sent by the maintenance terminal, deletes the scenic spot in the appointed park from the scenic spot recommendation list and the scenic spot guide list in the appointed time period, and sends the reminding information to the tourist terminal when the scenic spot enters the appointed park, so that the safety of the tourist is effectively protected, and the tourist guide of the tourist is effectively completed.
Referring to fig. 4, fig. 4 is a schematic flow chart of S5-S9 of a garden data collecting method according to an embodiment of the present invention. As shown in fig. 4, the method of the embodiment of the present invention further includes:
s5, the main server is M with highest evaluation score S 0 The scenic spot of the park is endowed with a key scenic spot mark;
s6, the main server acquires soil humidity data sent by humidity sensors arranged in different gardens, judges whether water is deficient, and if the water is deficient, counts the number M of tourist terminals in the water deficient gardens;
s7, if the number M of the tourist terminals is less than or equal to the number M of the tourist terminalsFirst quantity threshold M 1 When the water is in the water shortage park, the spray heads arranged in the water shortage park are controlled to spray and irrigate;
s8, if the number M of the guest terminals is more than or equal to the first number threshold M 2 When the water is in a water shortage park, the spray heads arranged in the water shortage park are controlled to stop spraying irrigation;
s9, if the first quantity threshold M 1 < number of guest terminals M < first number threshold M 2 And if the key scenic spots exist in the water-deficient park, the main server controls the spray heads arranged in the water-deficient park to perform intelligent spray irrigation.
The main server of the embodiment of the invention is M with highest evaluation score S 0 The scenic spot of each park is endowed with a key scenic spot mark, so that the distinguishing management of scenic spots is realized, a main server acquires soil humidity data sent by humidity sensors arranged in different parks of the park, judges whether water is deficient, and if the water is deficient, counts the number M of tourist terminals in the water deficient park; if the number M of the guest terminals is less than or equal to the first number threshold M 1 When the number of tourists in the water-deficient park is very small, the spray irrigation is directly carried out; if the number M of the guest terminals is more than or equal to the first number threshold M 2 When the water-deficient garden is in use, the number of tourists is more, and in order to avoid influencing the tourists, the spray heads arranged in the water-deficient garden are controlled to stop spraying irrigation; if the first quantity threshold M 1 < number of guest terminals M < first number threshold M 2 And if the key scenic spots exist in the water-deficient park, the main server controls the spray heads arranged in the water-deficient park to perform intelligent spray irrigation so as to ensure the tourist experience.
Referring to fig. 5, fig. 5 is a flowchart of S90a-S92a of a garden data collecting method according to an embodiment of the present invention. As shown in fig. 5, the intelligent spray irrigation according to the embodiment of the present invention specifically includes:
S90a, a main server acquires position information of a tourist terminal and a spray head, wherein the spray head is an adjustable spray head of an injection angle;
s91a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 1 +distance threshold L 0 When the spray distance is adjusted, a spray distance adjusting instruction is sent to the spray head, so that the spray distance of the spray head is adjusted and kept to be the spray distance L 2 Wherein, the spraying distance L 1 Maximum spray distance L for spray head 2 Spraying the spray head with a minimum distance;
s92a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 2 +distance threshold L 0 And when the water is sprayed, the spray head is controlled to stop spraying irrigation.
According to the intelligent spraying irrigation device, the spraying distance of the spray head can be adjusted according to the position of a tourist, so that the tourist is prevented from being wetted when the garden plants are watered, intelligent spraying is realized, and the amusement of the tourist can be provided. The spray head is a spray head with an adjustable spray angle, and the spray head angle can be adjusted by motor driving by adopting the existing adjustable spray head.
Referring to fig. 6, fig. 6 is a flowchart of S90b-S92b of a garden data collecting method according to an embodiment of the present invention. As shown in fig. 6, the intelligent spray irrigation according to another embodiment of the present invention specifically includes:
S90b, the main server acquires the position information of the tourist terminal and the monitoring data of the cameras arranged in the water-deficient park;
s91b, predicting the action track of the tourist through a prediction model;
and S92b, if the tourist is predicted to enter the spraying range of the spray head, stopping spraying until the tourist is far away from the spraying range.
The prediction model construction method comprises the following steps:
acquiring a training data set: video data of tourists are collected through cameras arranged at major scenic spot intersections, and position information of tourist terminals is combined to generate track data of the tourists, wherein V= [ V ] 1 ，V 2 ，V 3 ，…，V n ]Wherein each track in V contains the entire historical track, direction and speed of setting the position in the transverse and longitudinal coordinates with the key scenic spot as the origin;
X＝(X t-h+1 ，X t-h+2 ，X t-h+3 ，...，X t )，
X t ＝(x t ，y t ，v t ，θ t )，
Y＝(Y t+1 ，Y t+2 ，Y t+3 ，...，Y P )，
Y t ＝(x t ，y t )，
where X is the set of all observations of a particular track segment up to time t, X and Y are absolute coordinates (in meters) with respect to the point of interest, v is the speed of the guest, θ is the direction of the guest's travel, h represents the time range of actual observation, Y is the set of future tracks after time t of length p, and p represents the predicted time range;
normalizing the input data:
wherein x is t Representing the input of the network, is a normalized value of data normalization, X t Data normalized current value, μ representing time t in training set X X Sum sigma X Representing the mean and standard deviation determined for each element in the training set X;
extracting track information by using a cyclic neural network layer as a training target of a mixed density network of a mixed Gaussian model, and then using the output of the mixed density networkGenerating network parameters:
wherein, the liquid crystal display device comprises a liquid crystal display device,and p is t ∈(0，1)，
And->
And->
And->
And->
Wherein mu s Sum sigma S Respectively representing the mean value and standard deviation of each dimension of the training data, pi represents the mixing weight, ρ represents the correlation coefficient, M represents the number of training samples, R represents the set constant, j represents the serial number of the training samples,respectively representing the output of the corresponding neural network;
for a given output vector y t Then the next input x t+1 Probability function Pr (x) t+1 |y t ) The definition is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
wherein, the liquid crystal display device comprises a liquid crystal display device,the mixing weight of the jth Gaussian distribution at the t moment is represented, and N (x|mu, sigma, rho) represents the probability density function of the Gaussian mixture distribution;
the loss function L (X) is defined as follows:
where alpha, beta denote the balance parameters of the loss function, g denotes the error rate,representing a predicted error rate;
predicting the action track of the tourist by using the trained prediction model, and stopping spraying until the tourist is far away from the spraying range if the tourist is predicted to enter the spraying range of the spray head.
The prediction model of the embodiment of the invention mainly predicts the action track of the tourist at the intersection of the key scenic spot, judges whether the tourist goes to other directions or enters the spray range of the spray head, stops spraying until the tourist is far away from the spray range if the tourist is predicted to enter the spray range of the spray head, has high intelligent degree, avoids wetting the tourist when spraying water to landscape plants, and improves the tourist experience. The prediction model of the embodiment of the invention has high robustness and accurate prediction.
Fig. 7 is a schematic diagram of a garden data acquisition system according to an embodiment of the present invention. This gardens data acquisition system includes:
the network server is used for acquiring evaluation data of the target gardens from a preset network platform, sending the preprocessed evaluation data to the main server, and sending poor evaluation data in a preset period to the maintenance terminal;
the main server is used for sequencing scenic spots of different gardens, generating a scenic spot recommendation list with scenic spot information, acquiring registration information and position information of the tourist terminal, and sending the scenic spot recommendation list to the tourist terminal; establishing a map model to store the position information of all garden number plants, if a number identification request sent by a tourist terminal is received, acquiring the appreciation information of a target number plant from a plant information database, sending the obtained information to the tourist terminal, and sending a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist; if a serial number identification request sent by a maintenance terminal is received, maintenance information of the plant with the target serial number is obtained from a plant information database and sent to the maintenance terminal, and a similar plant map model of the plant with the target serial number is built to send the maintenance terminal;
The tourist terminal is used for sending registration information and position information to the main server and sending a number identification request to the main server;
and the maintenance terminal is used for receiving the bad evaluation data sent by the network server and sending a number identification request to the main server.
Since each unit module in the present embodiment is capable of executing the method shown in fig. 1, a part of the present embodiment, which is not described in detail, is referred to the related description of fig. 1.
Fig. 8 is a hardware schematic of a server device of an embodiment of the invention. Referring to fig. 8, at the hardware level, the server device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the server device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 8, but not only one bus or type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.
In one possible implementation, the processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the same, and may also obtain the corresponding computer program from other devices to form the pricing device for electricity prices on a logic level. And the processor executes the program stored in the memory to realize the node working method provided in any embodiment of the invention through the executed program.
The embodiments of the present invention also provide a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a server device comprising a plurality of application programs, enable the server device to perform the node operation method provided in any of the embodiments of the present invention.
The method performed by the server device provided in the embodiment of the present invention may be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The embodiments of the present invention also provide a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a server device comprising a plurality of application programs, enable the server device to perform the node operation method provided in any of the embodiments of the present invention.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above apparatus is described as being functionally divided into various units or modules, respectively. Of course, the functions of each unit or module may be implemented in one or more pieces of software and/or hardware when implementing the invention.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.
Claims (6)
1. A method for collecting garden data, the method comprising:
s1, a network server acquires evaluation data of a target garden from a preset network platform, sends the preprocessed evaluation data to a main server, and sends poor evaluation data in a preset period to a maintenance terminal;
s2, the main server sorts scenic spots of different gardens, generates a scenic spot recommendation list with scenic spot information, acquires registration information and position information of the tourist terminal, and sends the scenic spot recommendation list to the tourist terminal;
s3, the main server establishes a map model to store the position information of all garden numbered plants, acquires the appreciative information of the target numbered plants from a plant information database and sends the appreciative information to the tourist terminal if the number identification request sent by the tourist terminal is received, and sends a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist;
S4, if a number identification request sent by the maintenance terminal is received, maintenance information of the target number plant is obtained from a plant information database and sent to the maintenance terminal, and a similar plant map model of the target number plant is built and sent to the maintenance terminal;
the pretreatment specifically comprises the following steps:
s10, capturing comments under a target garden theme in a preset network platform by using a crawler tool;
s11, deleting redundant comments and only reserving one comment when the same user publishes the same comment number of the same platform in a first time period is larger than a first threshold;
s12, deleting all comments of the same user when the comment number of the same platform is larger than a second threshold value in a second time period or when the comment number of the same user in a third time period is larger than a third threshold value in a different platform, wherein the third time period is larger than the second time period, the second time period is larger than the first time period, and the second threshold value is larger than the third threshold value;
s13, acquiring comment texts, performing word segmentation, deleting punctuation marks, digital English characters and stop words and mood auxiliary words;
s14, dividing comments into two categories by comparing the word segmentation with a pre-constructed semantic dictionary, wherein the data of good comments are one category, and the data of medium comments and poor comments are one category;
The main server sorts scenic spots of different gardens according to the evaluation score S, wherein the calculation formula of the evaluation score S is as follows:
wherein S is j Evaluation score, alpha, representing park sight j j Representing the number of likes of the scene point j in the predetermined period, β representing the total number of likes of gardens in the predetermined period, x representing the total number of comments of gardens in the predetermined period, y j A difference score, m, representing the scene point j over a predetermined period of time ij Indicating an i-th praise endorsement for the attraction j for a predetermined period of time,representing an average praise number, t, of comments about the campus over a predetermined period of time ij Indicating the ith good release time, f, for sight j j Indicating the access frequency of view point j within a predetermined period,/-, for a predetermined period of time>Represents the average access frequency, w, of gardens over a predetermined period of time 1 Represents a first weight, w 2 Represents a second weight, and w 1 +w 2 ＝1；
The method for transmitting the scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist specifically comprises the following steps:
s30, judging whether the update period is reached after the registration information of the tourist terminal is acquired, and if so, acquiring the path information and the latest position information of the tourist terminal;
s31, sorting scenic spots of different gardens not passed by the tourists according to the recommended score R;
S32, sending the scenic spot guide list with the scenic spot information to the tourist terminal;
the calculation formula of the recommendation score R is as follows:
wherein R is j Recommendation score, S, representing campus sight j j An evaluation score, d, representing a park sight j * Representing the distance of the tourist terminal in garden, d j Representing the distance, m, of the guest terminal from the park scenic spot j j Representing the number of tourist terminals, theta, of the park where the scenic spot j is located j Representing the area, k, of the park where the scenic spot j is located 0 The total number of plant number identification requests, k, representing guest terminals j Representing the total number of numbered plants, k, of the park where the attraction j is located j * The number of numbered plants which are the same type of plants and are requested to be identified by tourist terminals in the park where the scenic spot j is located is represented, a, b and c represent weights, and the weights are 1, and a is more than b and more than c.
2. The method of claim 1, wherein the method further comprises:
the method comprises the steps that a main server receives a laxative or maintenance request of a designated park, wherein the laxative or maintenance request is sent by a maintenance terminal, and a selected time period is added to the laxative or maintenance request;
the main server deletes the scenic spots in the appointed park from the scenic spot recommendation list and the scenic spot guide list in the appointed time period;
the host server acquires the position of the tourist terminal in a specified time period, and when the tourist terminal enters a specified park, the host server sends reminding information to the tourist terminal.
3. The method according to claim 1, wherein the method further comprises:
s5, the main server is M with highest evaluation score S 0 The scenic spot of the park is endowed with a key scenic spot mark;
s6, the main server acquires soil humidity data sent by humidity sensors arranged in different gardens, judges whether water is deficient, and if the water is deficient, counts the number M of tourist terminals in the water deficient gardens;
s7, if the number M of the guest terminals is less than or equal to the first number threshold M 1 When the water is in the water shortage park, the spray heads arranged in the water shortage park are controlled to spray and irrigate;
s8, if the number M of the guest terminals is more than or equal to the first number threshold M 2 When the water is in a water shortage park, the spray heads arranged in the water shortage park are controlled to stop spraying irrigation;
s9, if the first quantity threshold M 1 < number of guest terminals M < first number threshold M 2 And if the key scenic spots exist in the water-deficient park, the main server controls the spray heads arranged in the water-deficient park to perform intelligent spray irrigation.
4. A method according to claim 3, characterized in that the intelligent spray irrigation specifically comprises:
s90a, a main server acquires position information of a tourist terminal and a spray head, wherein the spray head is an adjustable spray head of an injection angle;
S91a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 1 +distance threshold L 0 When the spray distance is adjusted, a spray distance adjusting instruction is sent to the spray head, so that the spray distance of the spray head is adjusted and kept to be the spray distance L 2 Wherein, the spraying distance L 1 Maximum spray distance L for spray head 2 Spraying the spray head with a minimum distance;
s92a, when the distance L between the tourist terminal and the spray head is less than or equal to the spraying distance L 2 +distance threshold L 0 And when the water is sprayed, the spray head is controlled to stop spraying irrigation.
5. A method according to claim 3, characterized in that the intelligent spray irrigation specifically comprises:
s90b, the main server acquires the position information of the tourist terminal and the monitoring data of the cameras arranged in the water-deficient park;
s91b, predicting the action track of the tourist through a prediction model;
and S92b, if the tourist is predicted to enter the spraying range of the spray head, stopping spraying until the tourist is far away from the spraying range.
6. A gardening data acquisition system, comprising:
the network server is used for acquiring evaluation data of the target gardens from a preset network platform, sending the preprocessed evaluation data to the main server, and sending poor evaluation data in a preset period to the maintenance terminal;
the main server is used for sequencing scenic spots of different gardens, generating a scenic spot recommendation list with scenic spot information, acquiring registration information and position information of the tourist terminal, and sending the scenic spot recommendation list to the tourist terminal; establishing a map model to store the position information of all garden number plants, if a number identification request sent by a tourist terminal is received, acquiring the appreciation information of a target number plant from a plant information database, sending the obtained information to the tourist terminal, and sending a scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist; if a serial number identification request sent by a maintenance terminal is received, maintenance information of the plant with the target serial number is obtained from a plant information database and sent to the maintenance terminal, and a similar plant map model of the plant with the target serial number is built to send the maintenance terminal;
The tourist terminal is used for sending registration information and position information to the main server and sending a number identification request to the main server;
the maintenance terminal is used for receiving the bad evaluation data sent by the network server and sending a number identification request to the main server;
the pretreatment specifically comprises the following steps:
s10, capturing comments under a target garden theme in a preset network platform by using a crawler tool;
s11, deleting redundant comments and only reserving one comment when the same user publishes the same comment number of the same platform in a first time period is larger than a first threshold;
s12, deleting all comments of the same user when the comment number of the same platform is larger than a second threshold value in a second time period or when the comment number of the same user in a third time period is larger than a third threshold value in a different platform, wherein the third time period is larger than the second time period, the second time period is larger than the first time period, and the second threshold value is larger than the third threshold value;
s13, acquiring comment texts, performing word segmentation, deleting punctuation marks, digital English characters and stop words and mood auxiliary words;
s14, dividing comments into two categories by comparing the word segmentation with a pre-constructed semantic dictionary, wherein the data of good comments are one category, and the data of medium comments and poor comments are one category;
The main server sorts scenic spots of different gardens according to the evaluation score S, wherein the calculation formula of the evaluation score S is as follows:
wherein S is j Evaluation score, alpha, representing park sight j j Representing the number of likes of the scene point j in the predetermined period, β representing the total number of likes of gardens in the predetermined period, x representing the total number of comments of gardens in the predetermined period, y j A difference score, m, representing the scene point j over a predetermined period of time ij Indicating an i-th praise endorsement for the attraction j for a predetermined period of time,representing an average praise number, t, of comments about the campus over a predetermined period of time ij Indicating the ith good release time, f, for sight j j Indicating the access frequency of view point j within a predetermined period,/-, for a predetermined period of time>Represents the average access frequency, w, of gardens over a predetermined period of time 1 Represents a first weight, w 2 Represents a second weight, and w 1 +w 2 ＝1；
The method for transmitting the scenic spot guide list with scenic spot information to the tourist terminal according to the movement track of the tourist specifically comprises the following steps:
s30, judging whether the update period is reached after the registration information of the tourist terminal is acquired, and if so, acquiring the path information and the latest position information of the tourist terminal;
s31, sorting scenic spots of different gardens not passed by the tourists according to the recommended score R;
S32, sending the scenic spot guide list with the scenic spot information to the tourist terminal;
the calculation formula of the recommendation score R is as follows:
wherein R is j Recommendation score, S, representing campus sight j j An evaluation score, d, representing a park sight j * Representing the distance of the tourist terminal in garden, d j Representing the distance, m, of the guest terminal from the park scenic spot j j Representing the number of tourist terminals, theta, of the park where the scenic spot j is located j Representing the area, k, of the park where the scenic spot j is located 0 The total number of plant number identification requests, k, representing guest terminals j Representing the total number of numbered plants, k, of the park where the attraction j is located j * The number of numbered plants which are the same type of plants and are requested to be identified by tourist terminals in the park where the scenic spot j is located is represented, a, b and c represent weights, and the weights are 1, and a is more than b and more than c.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105491107A (en) * | 2015-11-19 | 2016-04-13 | 韶关学院 | Intelligent tourism service system based on cloud platform and mobile terminal |
| CN106303920A (en) * | 2016-07-27 | 2017-01-04 | 深圳前海弘稼科技有限公司 | Information getting method and information acquisition device for scenic spot of going sightseeing |
| WO2017133541A1 (en) * | 2016-02-05 | 2017-08-10 | 腾讯科技（深圳）有限公司 | Method and apparatus for information recommendation |
| CN108241333A (en) * | 2018-01-15 | 2018-07-03 | 闵林海 | A kind of intelligence garden management system |
| CN110019201A (en) * | 2017-10-09 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of method, apparatus and system generating structural data |
| CN110175722A (en) * | 2019-05-30 | 2019-08-27 | 上海苍潇穹宇数据科技有限公司 | Tour schedule planning system |
| CN110390096A (en) * | 2019-01-17 | 2019-10-29 | 赵燕妮 | A kind of park evaluation method and device |
| CN110750737A (en) * | 2019-09-27 | 2020-02-04 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device and storage medium |
| CN110955844A (en) * | 2019-10-29 | 2020-04-03 | 西安双德喜信息科技有限公司 | Method and system for guiding tourists in amusement park |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8737691B2 (en) * | 2012-07-05 | 2014-05-27 | Verizon Patent And Licensing Inc. | Methods and systems for creating virtual trips from sets of user content items |
| US9618343B2 (en) * | 2013-12-12 | 2017-04-11 | Microsoft Technology Licensing, Llc | Predicted travel intent |
-
2021
- 2021-08-11 CN CN202110919024.7A patent/CN113642745B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105491107A (en) * | 2015-11-19 | 2016-04-13 | 韶关学院 | Intelligent tourism service system based on cloud platform and mobile terminal |
| WO2017133541A1 (en) * | 2016-02-05 | 2017-08-10 | 腾讯科技（深圳）有限公司 | Method and apparatus for information recommendation |
| CN106303920A (en) * | 2016-07-27 | 2017-01-04 | 深圳前海弘稼科技有限公司 | Information getting method and information acquisition device for scenic spot of going sightseeing |
| CN110019201A (en) * | 2017-10-09 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of method, apparatus and system generating structural data |
| CN108241333A (en) * | 2018-01-15 | 2018-07-03 | 闵林海 | A kind of intelligence garden management system |
| CN110390096A (en) * | 2019-01-17 | 2019-10-29 | 赵燕妮 | A kind of park evaluation method and device |
| CN110175722A (en) * | 2019-05-30 | 2019-08-27 | 上海苍潇穹宇数据科技有限公司 | Tour schedule planning system |
| CN110750737A (en) * | 2019-09-27 | 2020-02-04 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device and storage medium |
| CN110955844A (en) * | 2019-10-29 | 2020-04-03 | 西安双德喜信息科技有限公司 | Method and system for guiding tourists in amusement park |
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