CN117808270A - Method, device, equipment and storage medium for determining facility layout - Google Patents
Method, device, equipment and storage medium for determining facility layout Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for determining facility layout, and belongs to the technical field of computers. The method comprises the following steps: acquiring signaling data of an object to be processed in a designated area; acquiring a first interest point and a second interest point of a designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type; classifying the object to be processed based on signaling data of the object to be processed and the first interest point by using a preset classification strategy to obtain target objects of at least two attribute types; acquiring the residence condition of each attribute type target object at the second interest point based on the second interest point, at least two attribute type target objects and preset residence conditions; and determining the layout of the target facility based on the residence condition of the target object at the second interest point. The scheme disclosed by the application promotes the rationality of facility layout planning.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining facility layout.
Background
At present, the planning and construction basic of public facilities such as fitness equipment, children entertainment and the like are to acquire the demands of residents on the fitness and entertainment facilities through questionnaires or interviews and the like based on static population data in an area.
However, due to the mobility of the population in the area, the static population data has hysteresis, the information of the demand of the public facilities obtained by means of questionnaires or interviews is not comprehensive, and the lack of automatic monitoring on the use condition of the public facilities such as public fitness entertainment and the like cannot be operated continuously.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining facility layout, which can solve the problem of poor rationality of public body-building facility layout position planning, and the technical scheme is as follows:
in a first aspect, a method for determining a facility layout is provided, the method comprising:
acquiring signaling data of an object to be processed in a designated area;
acquiring a first interest point and a second interest point of the designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type;
Classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification strategy to obtain a corresponding relation between the object to be processed and the building type;
obtaining target objects of at least two attribute types based on the corresponding relation between the object to be processed and the building type;
acquiring the residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types and preset residence conditions;
and determining the layout of the target facilities based on the residence condition of the target object of each attribute type at the second interest point.
In a possible implementation manner, the classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification policy to obtain a correspondence between the object to be processed and the building type includes:
determining position data of the object to be processed and time information corresponding to the position data based on the signaling data of the object to be processed;
and obtaining the corresponding relation between the object to be processed and the building type based on the position data of the object to be processed, the time information corresponding to the position data and the first interest point.
In a possible implementation manner, the time information corresponding to the location data includes a residence time and a residence duration, and the obtaining the correspondence between the object to be processed and the building type based on the location data of the object to be processed, the time information corresponding to the location data, and the first interest point includes:
performing matching processing on the first interest point of the position data of the object to be processed to obtain a matching processing result, wherein the matching processing result comprises position data matched with the first interest point;
acquiring a preset time period corresponding to the building type of the first interest point;
determining a result of the matching processing meeting a preset duration threshold value in a preset time period based on the preset time period, the retention time and the retention duration corresponding to the result of the matching processing;
and obtaining the corresponding relation between the object to be processed and the building type based on the result of the matching processing meeting the preset duration threshold value in the preset time period.
In one possible implementation manner, the obtaining the target object of at least two attribute types further includes:
determining age data of the object to be processed based on the signaling data of the object to be processed;
And obtaining target objects of at least two attribute types based on preset classification conditions and age data of the objects to be processed.
In one possible implementation manner, the obtaining, based on the second interest point, the target objects of at least two attribute types, and the preset residence conditions, the residence condition of the target object of each attribute type at the second interest point includes:
acquiring signaling data of a target object of each attribute type;
determining a residence condition corresponding to a target facility type of the second interest point based on the second interest point and a preset residence condition;
determining a target object of each attribute type that satisfies a resident condition corresponding to the target facility type based on the target facility type, signaling data of the target object of each attribute type, and the resident condition corresponding to the target facility type;
and obtaining the residence condition of each attribute type of the target object at the second interest point based on the target object of each attribute type meeting the residence condition corresponding to the target facility type.
In one possible implementation manner, the residence condition of the target object of each attribute type at the second interest point includes at least one of the number of target objects of each attribute type, the residence time period of the target object of each attribute type, and the duty ratio of the target object of each attribute type.
In a second aspect, there is provided a facility layout determining apparatus, the apparatus comprising:
a first acquisition unit, configured to acquire signaling data of an object to be processed in a specified area;
the second acquisition unit is used for acquiring a first interest point and a second interest point of the designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type;
the first obtaining unit is used for classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by utilizing a preset classification strategy so as to obtain the corresponding relation between the object to be processed and the building type;
a second obtaining unit, configured to obtain target objects of at least two attribute types based on a correspondence between the object to be processed and the building type;
the third obtaining unit is used for obtaining the residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types and preset residence conditions;
the first determining unit is used for determining the layout of the target facilities based on the residence condition of the target object of each attribute type at the second interest point.
In a third aspect, there is provided a computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement the method of the aspects and any one possible implementation as described above.
In a fourth aspect, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the aspects and methods of any one of the possible implementations described above.
In a fifth aspect, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of the aspects and any one of the possible implementations described above.
The beneficial effects of the technical scheme that this application provided include at least:
as can be seen from the above technical solution, in the embodiments of the present application, signaling data of an object to be processed in a specified area may be acquired, and a first interest point and a second interest point in the specified area may be acquired; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, the second interest point comprises a target facility type, the target to be processed can be classified based on signaling data of the target to be processed and the first interest point by means of a preset classification strategy, so that at least two attribute type target objects are obtained, the residence condition of each attribute type target object in the second interest point is obtained based on the second interest point, at least two attribute type target objects and preset residence conditions, the arrangement of target facilities can be determined based on the residence condition of each attribute type target object in the second interest point, and the arrangement of target facilities is determined.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, 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 flow chart of a method for determining a facility layout provided in one embodiment of the present application;
fig. 2 is a block diagram of a facility layout determining apparatus according to still another embodiment of the present application.
Fig. 3 is a block diagram of an electronic device for implementing a method of determining a facility layout of an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that, the terminal device in the embodiment of the present application may include, but is not limited to, smart devices such as a mobile phone, a personal digital assistant (Personal Digital Assistant, PDA), a wireless handheld device, and a Tablet Computer (Tablet Computer); the display device may include, but is not limited to, a personal computer, a television, or the like having a display function.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Referring to fig. 1, a flow chart of a method for determining facility layout according to an embodiment of the present application is shown. The method for determining the facility layout specifically comprises the following steps:
Step 101, obtaining signaling data of an object to be processed in a designated area.
102, acquiring a first interest point and a second interest point of the designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type.
Step 103, classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification strategy to obtain the corresponding relationship between the object to be processed and the building type.
Step 104, obtaining target objects of at least two attribute types based on the correspondence between the object to be processed and the building type.
And 105, obtaining the residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types and preset residence conditions.
And 106, determining the layout of the target facilities based on the residence condition of the target object of each attribute type at the second interest point.
The designated area may be an area where facility layout planning is required. The designated area may include, but is not limited to, a street, a district, a county, a city, etc. area. The object to be processed may be a resident within a designated area.
Specifically, the user meeting the stay condition can be determined by performing recognition processing on the mobile phone signaling data in the electronic fence of the designated area, so that the user is determined to be a resident in the designated area. The stay condition may include a stay period of more than 8 hours a day, a cumulative stay period of more than 20 days a month, and a continuous stay period of 3 months in the designated area.
It should be noted that the target facilities may include, but are not limited to, public fitness facilities, public entertainment facilities, and the like. The target objects may include objects that use different ages of the target facility. The target object may include, but is not limited to, children, adolescents, adults, and elderly people.
It should be noted that the number of building types may be plural. The number of target facility types may be plural.
It should be noted that the type of the target facility may be determined according to the age bracket of the target object. By way of example, the target facility types may include, but are not limited to, child type exercise facilities, teenager type exercise facilities, adult type exercise facilities, and senior type exercise facilities. It will be appreciated that public fitness facilities herein may not include fitness entertainment facilities such as large stadiums that are less mobile.
It should be noted that the second interest point may be located at an interest point characterizing the target facility within a preset range of the first interest point. The preset range may be determined according to the service requirement. The preset range may be a range of 1 km radius centered on the first point of interest, for example.
By way of example, the building type of the first point of interest may be a residential area and the target facility type of the second point of interest may include a child entertainment facility, a teenager entertainment facility, an adult fitness facility, and an elderly fitness facility.
It should be noted that, part or all of the execution body in steps 101 to 106 may be an application located in the local terminal, or may be a functional unit such as a plug-in unit or a software development kit (Software Development Kit, SDK) disposed in the application located in the local terminal, or may be a processing engine located in a server on the network side, or may be a distributed system located on the network side, for example, a processing engine or a distributed system in a data analysis platform on the network side, which is not limited in this embodiment.
It will be appreciated that the application may be a native program (native app) installed on the native terminal, or may also be a web page program (webApp) of a browser on the native terminal, which is not limited in this embodiment.
In this way, the target objects with various attribute types can be obtained by classifying the target objects to be processed according to the signaling data of the target objects to be processed and the first interest points, and then the residence condition of the target objects with various attribute types at the second interest points can be obtained according to the second interest points, the target objects with various attribute types and the preset residence conditions, so that the layout of the target facilities can be better determined according to the residence condition, the target objects can be effectively covered by the target facilities laid in the area, the pertinence and the rationality of the layout positions of the target facilities in the area are improved, and the service effectiveness of the target facilities to the target objects is optimized.
Optionally, in one possible implementation manner of this embodiment, in step 103, the location data of the object to be processed and the time information corresponding to the location data may be determined specifically based on the signaling data of the object to be processed, and then the correspondence between the object to be processed and the building type may be obtained based on the location data of the object to be processed, the time information corresponding to the location data, and the first interest point.
In this implementation, the time information corresponding to the location data may include a residence time and a residence duration. Specifically, the time information corresponding to the location data may be calculated according to signaling data of the object to be processed. The dwell time may include a point in time at which the object starts to dwell at the location and a point in time at which it leaves the location. The dwell time may be the length of time that the object has been at that location.
In this implementation, the building type of the first point of interest may include, but is not limited to, a home, office, mall, vegetable market, school, and the like. The first interest point may further include longitude and latitude information of the interest point, area coverage information covered by the interest point, and the like. The number of building types may be plural.
Specifically, the attribute type of the target object may include types divided by age group.
By way of example, attribute types of the target subject may include children from 0 to 12 years old, teenagers from 13 to 18 years old, adults from 19 to 59 years old, and elderly people from 60 years old and beyond.
In a specific implementation process of this implementation manner, further, first, matching processing may be performed on the first interest point of the position data of the object to be processed, so as to obtain a result of the matching processing, where the result of the matching processing includes position data matched with the first interest point. And secondly, acquiring a preset time period corresponding to the building type of the first interest point. And determining the result of the matching processing that the residence time in the preset time period meets the preset time threshold based on the preset time period, the residence time and the residence time corresponding to the result of the matching processing. And finally, based on the result of the matching processing that the residence time in the preset time period meets the preset time threshold, obtaining the corresponding relation between the object to be processed and the building type.
In one case of the specific implementation process, first, matching processing may be performed on the first interest point of the position data of the object to be processed, so as to obtain a result of the matching processing, where the result of the matching processing includes the position data of the object to be processed that matches the first interest point. And secondly, determining the stay time and the stay time length corresponding to the position data of the object to be processed matched with the first interest point based on the position data of the object to be processed matched with the first interest point. And obtaining a preset time period corresponding to the building type of the first interest point. And determining a result of the matching processing that the stay time in the preset time period meets a preset time threshold value based on the preset time period, the stay time and the stay time corresponding to the position data of the object to be processed matched with the first interest point. And finally, based on the result of the matching processing that the residence time in the preset time period meets the preset time threshold, obtaining the corresponding relation between the object to be processed and the building type, and further determining the target objects of at least two attribute types based on the corresponding relation between the object to be processed and the building type.
In this particular implementation, a building type of a first point of interest may correspond to a preset time period. A predetermined time period may correspond to a predetermined duration threshold.
Illustratively, for a first point of interest of building type, early education centers, kindergartens and primary schools, the corresponding preset time period may be 8 a.m. from monday to friday to 4 a.m. afternoon. The preset duration threshold corresponding to the preset time period may be 6 hours. When the object to be processed is determined to be in a period from 8 a.p. on the morning to 4 a.p. on the afternoon in a preset period corresponding to the building type of the first interest point based on the position data, the stay time and the stay time of the object to be processed matched with the first interest point, and the first interest point of the first interest point, the object to be processed and the first interest point of the building type can be determined to have a corresponding relation when the stay time of the first interest point of the building type is 6 hours, wherein the first interest point is the early teaching center, the kindergarten and the primary school, and the attribute type of the object to be processed is determined to be a child, and the object with the attribute type of the child is obtained.
For example, for a first point of interest of a building type being a middle school, the corresponding preset time period may be a full day period from monday to friday. The preset duration threshold corresponding to the preset time period may be 12 hours. When the dwell time of the object to be processed in the period of the all-day period from monday to friday is determined to be 12 hours based on the position data, dwell time and dwell time of the object to be processed matched with the first interest point and the preset period corresponding to the building type of the first interest point, the corresponding relationship between the object to be processed and the first interest point of the middle school of the building type can be determined, and then the attribute type of the object to be processed can be determined to be teenagers, namely the object with the attribute type of teenagers is obtained.
Illustratively, for a first point of interest of a building type being an office building, industrial park, or the like, the corresponding preset time period may be 8 am to 18 pm on monday to friday. The preset duration threshold corresponding to the preset time period may be 8 hours. When the position data, the residence time and the residence time of the object to be processed, which are matched with the first interest point, are based on a preset time period corresponding to the building type of the first interest point, and the residence time of the object to be processed is determined to be 8 hours in the time period from 8 am to 18 am of monday to friday, when the residence time of the first interest point of the building type is an office building or an industrial park, the object to be processed and the first interest point of the office building or the industrial park of the building type can be determined to have a corresponding relation, and then the attribute type of the object to be processed can be determined to be an adult, namely the object with the attribute type being an adult can be determined.
For example, for a first point of interest of a residential area of a building type, the corresponding preset time period may be an all-day period. The preset duration threshold corresponding to the preset time period may be 22 hours. When the object to be processed is determined to be in the time period of the whole day period based on the position data, the stay time and the stay time length matched with the first interest point and the preset time period corresponding to the building type of the first interest point, and the stay time length of the first interest point with the building type being the residential area reaches 22 hours, the object to be processed and the first interest point with the building type being the residential area can be determined to have the corresponding relation, and then the attribute type of the object to be processed can be determined to be the old people, namely the object with the attribute type being the old people can be obtained.
In a specific implementation process of the implementation manner, further, after the target objects of at least two attribute types are obtained, the number and the duty ratio of the target objects of each attribute type in the designated area can be determined according to the target objects of each attribute type.
In this way, the corresponding relation between the object to be processed and the building type can be obtained by determining the position data and the time information corresponding to the position data based on the signaling data of the object to be processed and the first interest point, and then the target objects with different attribute types can be obtained more accurately and effectively based on the corresponding relation between the object to be processed and the building type, so that the accuracy and the reliability of the classification of the images are improved.
Optionally, in one possible implementation manner of this embodiment, further, the age data of the object to be processed may be determined based on the signaling data of the object to be processed, and further, the target objects of at least two attribute types may be obtained based on a preset classification condition and the age data of the object to be processed.
It can be understood that in this embodiment, besides the corresponding relationship between the object to be processed and the building type, the target objects with different attribute types may be obtained, and the age data of the object to be processed may be determined directly based on the signaling data of the object to be processed, so as to obtain the target objects with different attribute types based on the preset classification condition and the age data of the object to be processed.
In this implementation manner, the preset classification condition may be a relationship between the age data of the object to be processed and the type of the preset age group, and the number of the preset age groups may be plural.
In a specific implementation process of the implementation manner, further, based on the signaling data of the object to be processed, the mobile terminal identification information of the object to be processed is obtained, and further, based on the mobile terminal identification information of the object to be processed, the age data of the object to be processed can be determined.
Specifically, the preset age group may include a first age group of 0 to 12 years old, a second age group of 13 to 18 years old, a third age group of 19 to 59 years old, a fourth age group of 60 years old and above, by way of example. The first age group is of child type, the second age group is of adolescent type, the third age group is of adult type, and the fourth age group is of elderly type. Firstly, matching the age data of the object to be processed with each preset age bracket to obtain a matching processing result. And secondly, obtaining target objects of at least two attribute types based on the age group types corresponding to the age data of each object to be processed according to the matching processing result.
Therefore, the object to be processed can be classified through directly acquired age data of the object to be processed and preset classification conditions, so that target objects of different age bracket types can be obtained, and the classification processing efficiency is improved.
It should be noted that, the specific implementation procedure provided in the present implementation manner may be combined with the various specific implementation procedures provided in the foregoing implementation manner to implement the method for determining facility layout in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
Alternatively, in one possible implementation of the present embodiment, in step 105, specifically, first, signaling data of the target object of each attribute type may be acquired. And secondly, determining a residence condition corresponding to the target facility type of the second interest point based on the second interest point and a preset residence condition. Again, a target object of each attribute type that satisfies a residency condition corresponding to the target facility type is determined based on the target facility type, signaling data of the target object of each attribute type, and the residency condition corresponding to the target facility type. Finally, based on the target object of each attribute type meeting the residence condition corresponding to the target facility type, the residence condition of the target object of each attribute type at the second interest point is obtained.
In this implementation, the preset residence condition may include that a residence time period of the target object at the target facility meets a preset time threshold. The preset time threshold value in the residence condition corresponding to each target facility type of the second interest point may be the same or different.
For example, for the target facility of the child, it may be determined whether a duration of stay of each target object at the target facility of the child meets a preset time threshold, so as to obtain a stay situation of each target object at the target facility of the child, where the stay situation may represent a situation of using the target facility of the child.
For example, for the teenager target facility, it may be determined whether a duration of stay of each target object at the teenager target facility meets a preset time threshold, so as to obtain a residence condition of each target object at the teenager target facility, where the residence condition may represent a condition of using the teenager target facility.
For example, for an adult target facility, it may be determined whether a duration of stay of each target object at the adult target facility meets a preset time threshold, so as to obtain a residence of each target object at the adult target facility, where the residence may be indicative of a situation in which the adult target facility is used.
For example, for the target facility of the elderly person, it may be determined whether a duration of stay of each target object at the target facility of the elderly person satisfies a preset time threshold, so as to obtain a stay condition of each target object at the target facility of the elderly person, where the stay condition may represent a condition of using the target facility of the elderly person.
Optionally, in a possible implementation manner of this embodiment, the residence condition of the target object of each attribute type at the second point of interest may include, but is not limited to, at least one of a number of target objects of each attribute type, a residence time period of the target object of each attribute type, and a duty ratio of the target object of each attribute type.
In this implementation, the residence of the target object of each attribute type at the second point of interest may further include the residence of the target object of each attribute type at its corresponding target facility.
Optionally, the residence of the target object of each attribute type at its corresponding target facility may include at least one of the number of target objects of each attribute type, the residence time period of the target object of each attribute type, the duty cycle of the target object of each attribute type.
In a specific implementation procedure of this implementation manner, further, in step 106, the number of the layout of each type of target facilities and the layout proportion of each type of target facilities may be determined according to the number of the target objects of each attribute type, the residence time period of the target objects of each attribute type and the duty ratio of the target objects of each attribute type, and then the layout of the existing target facilities may be adjusted according to the determined number of the layout of each type of target facilities and the layout proportion of each type of target facilities.
In this implementation, the layout of the target facility may include, but is not limited to, a location of the layout of the target facility, a number of layouts of the target facility, a type of layout of the target facility, and the like.
It should be noted that, the specific implementation procedure provided in the present implementation manner may be combined with the various specific implementation procedures provided in the foregoing implementation manner to implement the method for determining facility layout in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
Alternatively, in a possible implementation manner of the present embodiment, in a case where the target facility does not exist in the specified area, the layout of the target facility of the specified area may be planned and determined based on the obtained target objects of at least two attribute types.
It will be appreciated that the target facilities of the designated area may be deployed using existing planning methods, and are not particularly limited herein.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
Fig. 2 is a block diagram showing a construction of a facility layout determining apparatus according to an embodiment of the present application, as shown in fig. 2. The facility layout determining apparatus 200 of the present embodiment may include a first acquiring unit 201, a second acquiring unit 202, a first acquiring unit 203, a second acquiring unit 204, a third acquiring unit 205, and a first determining unit 206. The first obtaining unit 201 is configured to obtain signaling data of an object to be processed in a specified area; a second obtaining unit 202, configured to obtain a first interest point and a second interest point of the specified area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type; a first obtaining unit 203, configured to perform a classification process on the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification policy, so as to obtain a correspondence between the object to be processed and the building type; a second obtaining unit 204, configured to obtain target objects of at least two attribute types based on a correspondence between the object to be processed and the building type; a third obtaining unit 205, configured to obtain a residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types, and a preset residence condition; a first determining unit 206, configured to determine a layout of the target facility based on the residence of the target object of each attribute type at the second point of interest.
The determining device of the facility layout of the present embodiment may be part or all of an application located in the local terminal, or may be a functional unit such as a plug-in unit or a software development kit (Software Development Kit, SDK) provided in the application located in the local terminal, or may be a processing engine located in a server on the network side, or may be a distributed system located on the network side, for example, a processing engine or a distributed system in a data analysis platform on the network side, which is not particularly limited in this embodiment.
It will be appreciated that the application may be a native program (native app) installed on the native terminal, or may also be a web page program (webApp) of a browser on the native terminal, which is not limited in this embodiment.
Alternatively, in one possible implementation manner of this embodiment, the first obtaining unit 203 may be specifically configured to determine, based on signaling data of the object to be processed, location data of the object to be processed and time information corresponding to the location data; based on the position data of the object to be processed, the time information corresponding to the position data and the first interest point, obtaining the corresponding relation between the object to be processed and the building type; and obtaining target objects of at least two attribute types based on the corresponding relation between the object to be processed and the building type.
Optionally, in one possible implementation manner of this embodiment, the time information corresponding to the location data includes a residence time and a residence duration, and the first obtaining unit 203 may be specifically configured to perform a matching process on the location data of the object to be processed, so as to obtain a result of the matching process, where the result of the matching process includes location data matched with the first point of interest; acquiring a preset time period corresponding to the building type of the first interest point; determining a result of the matching processing meeting a preset duration threshold value in a preset time period based on the preset time period, the retention time and the retention duration corresponding to the result of the matching processing; and obtaining the corresponding relation between the object to be processed and the building type based on the result of the matching processing meeting the preset duration threshold value in the preset time period.
Optionally, in a possible implementation manner of this embodiment, the second obtaining unit 204 may be further configured to determine age data of the object to be processed based on signaling data of the object to be processed; and obtaining target objects of at least two attribute types based on preset classification conditions and age data of the objects to be processed.
Optionally, in one possible implementation manner of this embodiment, the second obtaining unit 205 may be specifically configured to obtain signaling data of the target object of each attribute type; determining a residence condition corresponding to a target facility type of the second interest point based on the second interest point and a preset residence condition; determining a target object of each attribute type that satisfies a resident condition corresponding to the target facility type based on the target facility type, signaling data of the target object of each attribute type, and the resident condition corresponding to the target facility type; and obtaining the residence condition of each attribute type of the target object at the second interest point based on the target object of each attribute type meeting the residence condition corresponding to the target facility type.
In this embodiment, the signaling data of the object to be processed in the specified area may be acquired by the first acquiring unit, and the first interest point and the second interest point in the specified area may be acquired by the second acquiring unit; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, the second interest point comprises a target facility type, a first obtaining unit can further utilize a preset classification strategy to classify the object to be processed based on signaling data of the object to be processed and the first interest point, so that a corresponding relation between the object to be processed and the building type is obtained, a second obtaining unit obtains target objects of at least two attribute types based on the corresponding relation between the object to be processed and the building type, a third obtaining unit obtains a residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target object of at least two attribute types and the preset residence condition, and the first determining unit can determine the residence condition of the target facility at the second interest point based on the target object of each attribute type.
In the technical scheme of the application, related personal information of the user, such as collection, storage, use, processing, transmission, provision, disclosure and other processes of images, attribute data and the like of the user, accords with the regulations of related laws and regulations and does not violate the popular regulations.
According to embodiments of the present application, there is also provided an electronic device, a readable storage medium and a computer program product.
Fig. 3 shows a schematic block diagram of an example electronic device 300 that may be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 3, the electronic device 300 includes a computing unit 301 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 may also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other by a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in the electronic device 300 are connected to the I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, etc.; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the electronic device 300 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the respective methods and processes described above, for example, a determination method of facility layout. For example, in some embodiments, the method of determining the facility layout may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 300 via the ROM 302 and/or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the above-described determination method of the facility layout may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the method of determining the facility layout in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application are achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (10)
1. A method of determining a facility layout, the method comprising:
acquiring signaling data of an object to be processed in a designated area;
acquiring a first interest point and a second interest point of the designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type;
Classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification strategy to obtain a corresponding relation between the object to be processed and the building type;
obtaining target objects of at least two attribute types based on the corresponding relation between the object to be processed and the building type;
acquiring the residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types and preset residence conditions;
and determining the layout of the target facilities based on the residence condition of the target object of each attribute type at the second interest point.
2. The method according to claim 1, wherein the classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by using a preset classification policy to obtain a correspondence between the object to be processed and the building type includes:
determining position data of the object to be processed and time information corresponding to the position data based on the signaling data of the object to be processed;
And obtaining the corresponding relation between the object to be processed and the building type based on the position data of the object to be processed, the time information corresponding to the position data and the first interest point.
3. The method according to claim 2, wherein the time information corresponding to the location data includes a stay time and a stay duration, and the obtaining the correspondence between the object to be processed and the building type based on the location data of the object to be processed, the time information corresponding to the location data, and the first point of interest includes:
performing matching processing on the first interest point of the position data of the object to be processed to obtain a matching processing result, wherein the matching processing result comprises position data matched with the first interest point;
acquiring a preset time period corresponding to the building type of the first interest point;
determining a result of the matching processing meeting a preset duration threshold value in a preset time period based on the preset time period, the retention time and the retention duration corresponding to the result of the matching processing;
and obtaining the corresponding relation between the object to be processed and the building type based on the result of the matching processing meeting the preset duration threshold value in the preset time period.
4. The method of claim 1, wherein obtaining the target object of at least two attribute types further comprises:
determining age data of the object to be processed based on the signaling data of the object to be processed;
and obtaining target objects of at least two attribute types based on preset classification conditions and age data of the objects to be processed.
5. The method of claim 1, wherein the obtaining the residence of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types, and the preset residence condition includes:
acquiring signaling data of a target object of each attribute type;
determining a residence condition corresponding to a target facility type of the second interest point based on the second interest point and a preset residence condition;
determining a target object of each attribute type that satisfies a resident condition corresponding to the target facility type based on the target facility type, signaling data of the target object of each attribute type, and the resident condition corresponding to the target facility type;
and obtaining the residence condition of each attribute type of the target object at the second interest point based on the target object of each attribute type meeting the residence condition corresponding to the target facility type.
6. The method of claim 1, wherein the residence of the target object of each attribute type at the second point of interest comprises at least one of a number of target objects of each attribute type, a residence time period of the target object of each attribute type, and a duty cycle of the target object of each attribute type.
7. A facility layout determining apparatus, the apparatus comprising:
a first acquisition unit, configured to acquire signaling data of an object to be processed in a specified area;
the second acquisition unit is used for acquiring a first interest point and a second interest point of the designated area; the second interest point is located in a preset range of the first interest point, the first interest point comprises a building type, and the second interest point comprises a target facility type;
the first obtaining unit is used for classifying the object to be processed based on the signaling data of the object to be processed and the first interest point by utilizing a preset classification strategy so as to obtain the corresponding relation between the object to be processed and the building type;
a second obtaining unit, configured to obtain target objects of at least two attribute types based on a correspondence between the object to be processed and the building type;
The third obtaining unit is used for obtaining the residence condition of the target object of each attribute type at the second interest point based on the second interest point, the target objects of at least two attribute types and preset residence conditions;
the first determining unit is used for determining the layout of the target facilities based on the residence condition of the target object of each attribute type at the second interest point.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-6.
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| CN202410206463.7A CN117808270B (en) | 2024-02-26 | Method, device, equipment and storage medium for determining facility layout |
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| CN202410206463.7A CN117808270B (en) | 2024-02-26 | Method, device, equipment and storage medium for determining facility layout |
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