CN112272354A - Cloud mobile phone equipment distribution method and device - Google Patents
Cloud mobile phone equipment distribution method and device Download PDFInfo
- Publication number
- CN112272354A CN112272354A CN202011152351.6A CN202011152351A CN112272354A CN 112272354 A CN112272354 A CN 112272354A CN 202011152351 A CN202011152351 A CN 202011152351A CN 112272354 A CN112272354 A CN 112272354A
- Authority
- CN
- China
- Prior art keywords
- sub
- areas
- mobile phone
- center position
- cloud mobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Telephonic Communication Services (AREA)
- Telephone Function (AREA)
Abstract
The invention provides a cloud mobile phone equipment allocation method and device, and relates to the technical field of mobile internet. The method comprises the following steps: determining a target area of cloud mobile phone equipment to be distributed; removing one or more to-be-removed sub-areas with population density smaller than a preset threshold value in the candidate sub-areas of the multiple candidate sub-areas to obtain one or more to-be-distributed sub-areas; and allocating cloud mobile phone equipment to one or more sub-areas to be allocated. According to the cloud mobile phone equipment allocation method and device, the area with low population density is covered by the minimum amount of cloud mobile phone equipment through automatic avoidance of the area with low population density, and the technical effects that the cost of the cloud mobile phone equipment is low and the utilization rate of the cloud mobile phone equipment is maximized are achieved.
Description
Technical Field
The invention relates to the technical field of mobile internet, in particular to a cloud mobile phone equipment allocation method and device.
Background
With the rapid development of mobile internet technology, more and more mobile applications provide "nearby" functions, such as nearby people, nearby photos, nearby posts, nearby groups, nearby spaces, nearby buildings, and the like, the system comprises a plurality of data such as information, characters, numbers, photos, buildings, events, relations among people and the like of people, the data can represent local important events which are happening in the process, on the basis of protecting citizen privacy, through automatic acquisition and multi-dimensional analysis of various mobile applications and combination of the thought of a geographic information system, the method covers multi-point and multi-region geographic position sampling, an integrated information network is formed on the map, so that the information generated in the areas can be acquired in real time, the big data is comprehensively analyzed, so as to carry out early warning on large-scale gathering activities, obtain the first time grasp of emergent public sentiment events and the like.
However, when the conventional cloud equipment allocation method collects nearby information through a nearby function, cloud equipment allocation is performed on the whole target area, so that cloud equipment is allocated to an unmanned area such as a military sensitive area, a mountain river, a lake and the like and an area with low personnel density (such as a forest, a desert, a lake and the like), resource waste of the cloud equipment is caused, and the cost is greatly increased.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for allocating cloud mobile phone devices to solve the above technical problem.
In a first aspect, an embodiment of the present invention provides a cloud mobile phone device allocation method, where the method includes the following steps:
determining a target area of cloud mobile phone equipment to be distributed, wherein the target area comprises a plurality of candidate sub-areas;
removing one or more to-be-removed sub-areas with population density smaller than a preset threshold value in the candidate sub-areas of the multiple candidate sub-areas to obtain one or more to-be-distributed sub-areas;
and allocating cloud mobile phone equipment to one or more sub-areas to be allocated.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where each of the multiple candidate sub-areas is in a cellular network form;
after one or more to-be-rejected sub-regions with population density smaller than a preset threshold value in the candidate sub-regions in the multiple candidate sub-regions are rejected to obtain one or more to-be-allocated sub-regions, the method further comprises the following steps:
judging whether the circle center position of the circumcircle of each of one or more to-be-distributed subareas is located in a range that the population density in the one or more to-be-distributed subareas is smaller than a preset threshold value;
if so, shifting the circle center position within the range of the circumscribed circle until the circle center position is located within the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to the preset threshold value.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of offsetting the circle center position within the range of the circumscribed circle until the circle center position is located within a range where population density in the one or more to-be-allocated sub-areas is greater than or equal to a preset threshold includes:
acquiring the circle center position in a circumscribed circle range to offset until the circle center position is located in the shortest offset distance in the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to a preset threshold value;
and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where before the step of removing one or more to-be-removed sub-areas, of the multiple candidate sub-areas, whose population density in the candidate sub-areas is smaller than a preset threshold value, to obtain one or more to-be-allocated sub-areas, the method further includes:
randomly selecting one point as an initial center in a circular area which takes a central point of a target area as a circle center and a preset radius as a radius, and setting alternative sub-areas by the preset radius until the target area is filled, so as to obtain the number of the alternative sub-areas;
and iterating the steps until a preset iteration time threshold is reached, and acquiring the minimum number of the alternative sub-regions.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of allocating a cloud mobile phone device to one or more to-be-allocated sub-areas includes:
acquiring longitude and latitude coordinates of the circle center position of the circumcircle of the one or more sub-areas to be distributed respectively, and converting each longitude and latitude coordinate into each real geographic position coordinate;
and respectively allocating a cloud mobile phone device to each real geographic position coordinate.
In a second aspect, an embodiment of the present invention further provides an apparatus for allocating cloud mobile phone devices, where the apparatus includes:
the cloud mobile phone equipment allocation method comprises a target area determination module, a cloud mobile phone equipment allocation module and a cloud mobile phone equipment allocation module, wherein the target area determination module is used for determining a target area of the cloud mobile phone equipment to be allocated, and the target area comprises a plurality of candidate sub-areas;
the region removing module is used for removing one or more to-be-removed sub regions with population density smaller than a preset threshold value in the candidate sub regions of the candidate sub regions to obtain one or more to-be-distributed sub regions;
and the equipment allocation module is used for allocating the cloud mobile phone equipment to one or more sub-areas to be allocated.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where each of the multiple candidate sub-areas is in a cellular network form;
after the region culling module, the apparatus further comprises:
the judging module is used for judging whether the circle center position of the circumscribed circle of each of the one or more to-be-distributed sub-areas is located in a range that the population density in the one or more to-be-distributed sub-areas is smaller than a preset threshold value;
and the shifting module is used for shifting the circle center position within the circumscribed circle range if the circumscribed circle position is within the range that the population density of the circle center position in the one or more sub-areas to be distributed is greater than or equal to a preset threshold value.
With reference to the first possible implementation manner of the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the offset module is configured to:
acquiring the circle center position in a circumscribed circle range to offset until the circle center position is located in the shortest offset distance in the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to a preset threshold value;
and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes: a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method described above.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention provides a cloud mobile phone device allocation method and device, firstly, a target area of a cloud mobile phone device to be allocated is determined; then one or more to-be-rejected subareas with population density smaller than a preset threshold value in the candidate subareas in the multiple candidate subareas are rejected to obtain one or more to-be-distributed subareas; and finally, distributing the cloud mobile phone equipment to one or more to-be-distributed sub-areas. According to the cloud mobile phone equipment allocation method and device, the area with low population density is covered by the minimum amount of cloud mobile phone equipment through automatic avoidance of the area with low population density, and the technical effects that the cost of the cloud mobile phone equipment is low and the utilization rate of the cloud mobile phone equipment is maximized are achieved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a cloud mobile phone device allocation method according to an embodiment of the present invention;
fig. 2 is a flowchart of another cloud mobile phone device allocation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a target area of a cloud mobile phone device allocation method to be implemented according to an embodiment of the present invention;
fig. 4a to 4c are schematic diagrams of a filling arrangement manner when the candidate sub-regions are regular triangles, a schematic diagram of densely paving the target region in fig. 3 when the candidate sub-regions are regular triangles, and a schematic diagram of allocating a real geographic position to a circle center position of a circumscribed circle allocated to each regular triangle, respectively, according to an embodiment of the present invention;
fig. 5a to 5c are schematic diagrams of a filling arrangement manner when the candidate sub-regions are squares, a schematic diagram of densely paving the target region in fig. 3 when the candidate sub-regions are squares, and a schematic diagram of allocating a real geographic position to a center position of a circumscribed circle allocated to each square, according to an embodiment of the present invention;
fig. 6a to 6c are schematic diagrams of a filling arrangement manner when the alternative sub-regions are regular hexagons, a schematic diagram of densely paving the target region in fig. 3 when the alternative sub-regions are regular hexagons, and a schematic diagram of allocating a real geographic position to a center position of a circumscribed circle allocated for each regular hexagon, respectively, according to an embodiment of the present invention;
fig. 7 is a block diagram of a structure of a cloud mobile phone device allocation apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to the traditional cloud equipment allocation method, when nearby information is acquired through a nearby function, cloud equipment is allocated to the whole target area, so that cloud equipment is allocated to unmanned areas such as military sensitive areas, rivers, lakes and seas and areas with low personnel density, resource waste of the cloud equipment is caused, and the cost is greatly increased. Accordingly, the embodiment of the invention provides a cloud mobile phone device allocation method and device to alleviate the above problems.
In order to facilitate understanding of the embodiment, a detailed description is first given to a cloud mobile phone device allocation method disclosed in the embodiment of the present invention.
In a possible implementation manner, the invention provides a cloud mobile phone device allocation method. Fig. 1 is a flowchart of a cloud mobile phone device allocation method according to an embodiment of the present invention, where the method includes the following steps:
step S102: determining a target area of the cloud mobile phone device to be distributed.
Wherein the target region comprises a plurality of candidate sub-regions.
Step S104: and removing one or more to-be-removed sub-areas with population density smaller than a preset threshold value in the candidate sub-areas from the multiple candidate sub-areas to obtain one or more to-be-distributed sub-areas.
Step S106: and allocating cloud mobile phone equipment to one or more sub-areas to be allocated.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention provides a cloud mobile phone equipment allocation method, which comprises the steps of firstly determining a target area of cloud mobile phone equipment to be allocated; then one or more to-be-rejected subareas with population density smaller than a preset threshold value in the candidate subareas in the multiple candidate subareas are rejected to obtain one or more to-be-distributed subareas; and finally, distributing the cloud mobile phone equipment to one or more to-be-distributed sub-areas. According to the cloud mobile phone equipment allocation method and device, the area with low population density is covered by the minimum amount of cloud mobile phone equipment through automatic avoidance of the area with low population density, and the technical effects that the cost of the cloud mobile phone equipment is low and the utilization rate of the cloud mobile phone equipment is maximized are achieved.
In actual use, in order to describe the process of the present invention in more detail, in fig. 2, an embodiment of the present invention shows a flowchart of another cloud mobile phone device allocation method provided in the embodiment of the present invention, where the method includes the following steps:
step S202: determining a target area of the cloud mobile phone device to be distributed.
Wherein the target region comprises a plurality of candidate sub-regions.
Step S204: and removing one or more to-be-removed sub-areas with population density smaller than a preset threshold value in the candidate sub-areas from the multiple candidate sub-areas to obtain one or more to-be-distributed sub-areas.
It should be further noted that, before step S204, the method further includes:
randomly selecting one point as an initial center in a circular area which takes a central point of a target area as a circle center and a preset radius as a radius, and setting alternative sub-areas by the preset radius until the target area is filled, so as to obtain the number of the alternative sub-areas;
and iterating the steps until a preset iteration time threshold is reached, and acquiring the minimum number of the alternative sub-regions.
Step S206: and judging whether the circle center position of the circumcircle of each of the one or more to-be-distributed sub-areas is located in a range in which the population density in the one or more to-be-distributed sub-areas is smaller than a preset threshold value.
It is further noted that the radius of coverage of the circumscribed circle of the present invention is typically in the range of several tens of meters to several tens of kilometers.
Step S208: and if so, acquiring the circle center position in the circumscribed circle range to shift until the circle center position is located in the shortest shift distance in the range of the population density of the one or more to-be-distributed sub-areas which is more than or equal to the preset threshold value.
Step S210: and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
Step S212: and acquiring longitude and latitude coordinates of the circle center position of the respective circumcircle of the one or more sub-areas to be distributed, and converting each longitude and latitude coordinate into each real geographic position coordinate.
It should be further noted that the conversion of each latitude and longitude coordinate into each real Geographic position coordinate is realized by a GIS (Geographic Information System).
Step S214: and respectively allocating a cloud mobile phone device to each real geographic position coordinate.
The cloud mobile phone device allocation method of the present invention is exemplified by taking the alternative sub-regions as regular triangles, regular quadrangles, and regular hexagons, where fig. 3 is a schematic diagram of a target region of the cloud mobile phone device allocation method to be implemented according to the embodiment of the present invention.
Example one
In this embodiment, the cloud mobile phone device allocation method of the present invention is described by taking the alternative sub-regions as regular triangles as examples, where fig. 4a, 4b, and 4c are respectively schematic diagrams of a filling arrangement manner when the alternative sub-regions are regular triangles, a schematic diagram of densely paving the target region in fig. 3 when the alternative sub-regions are regular triangles, and a schematic diagram of allocating a real geographic position to a circle center position of an circumscribed circle allocated to each regular triangle, which are provided by the embodiment of the present invention.
As can be seen from the figure, when the target area is densely paved by using regular triangles, 10 real geographic positions, namely, the first real geographic position to the tenth real geographic position, are finally required, that is, 10 cloud mobile phone devices are required to be allocated to collect and analyze messages near the geographic positions. Meanwhile, the circular overlapped area is a wasted area, and as can be seen from the figure, when the target area is densely paved by regular triangles, the wasted area is relatively large.
Example two
In this embodiment, the cloud mobile phone device allocation method of the present invention is described by taking the alternative sub-region as a square as an example, where fig. 5a, 5b, and 5c are respectively a schematic diagram of a filling arrangement manner when the alternative sub-region is a square, a schematic diagram of densely paving the target region in fig. 3 when the alternative sub-region is a square, and a schematic diagram of allocating a real geographic position to a center position of a circumscribed circle allocated to each square, which are provided in the embodiment of the present invention.
As can be seen from the figure, when the target area is densely paved by using squares, 6 real geographic positions, namely, the first real geographic position to the sixth real geographic position, are finally required, that is, messages near the geographic positions need to be collected and analyzed by allocating to 6 cloud mobile phone devices. Meanwhile, as can be seen from the figure, when the target area is densely paved with squares, the wasted area is smaller than when the target area is densely paved with regular triangles.
EXAMPLE III
In this embodiment, the cloud mobile phone device allocation method of the present invention is described by taking the alternative sub-regions as regular hexagons as an example, where fig. 6a, 6b, and 6c are respectively a schematic diagram of a filling arrangement manner when the alternative sub-regions are regular hexagons, a schematic diagram of densely paving the target region in fig. 3 when the alternative sub-regions are regular hexagons, and a schematic diagram of allocating a real geographic position to a center position of an circumscribed circle allocated for each regular hexagon, which are provided in the embodiment of the present invention.
As can be seen from the figure, when the target area is densely paved by using regular hexagons, 4 real geographic positions, namely, the first real geographic position to the fourth real geographic position, are finally needed, that is, messages near the geographic positions need to be collected and analyzed by being allocated to 4 cloud mobile phone devices. Meanwhile, as can be seen from the figure, when the target region is densely paved with regular hexagons, less area is wasted than when the target region is densely paved with squares.
Compared with other two regular polygon forms, the number of the cloud mobile phone devices can be saved on the basis of full coverage when the regular hexagon is used for densely paving the target area, and the utilization rate of the cloud mobile phone devices is greatly improved.
Meanwhile, most people select regular triangles and squares as basic graphs and select regular hexagons as basic graphs rarely when densely paving, and the utilization rate of cloud mobile phone equipment resources can be improved by selecting the regular hexagons as the basic graphs to densely paving a target area.
In summary, according to the cloud mobile phone device allocation method and apparatus of the present invention, a target area of a cloud mobile phone device to be allocated is determined; then one or more to-be-rejected subareas with population density smaller than a preset threshold value in the candidate subareas in the multiple candidate subareas are rejected to obtain one or more to-be-distributed subareas; and finally, distributing the cloud mobile phone equipment to one or more to-be-distributed sub-areas. According to the cloud mobile phone equipment allocation method and device, the area with low population density is covered by the minimum amount of cloud mobile phone equipment through automatic avoidance of the area with low population density, and the technical effects that the cost of the cloud mobile phone equipment is low and the utilization rate of the cloud mobile phone equipment is maximized are achieved.
In another possible implementation manner, corresponding to the cloud mobile phone device allocation method provided in the foregoing implementation manner, an embodiment of the present invention further provides a cloud mobile phone device allocation apparatus, and fig. 7 is a block diagram of a structure of the cloud mobile phone device allocation apparatus provided in the embodiment of the present invention. As shown in fig. 7, the apparatus includes:
a target area determining module 701, configured to determine a target area of a cloud mobile phone device to be allocated, where the target area includes a plurality of candidate sub-areas;
a region removing module 702, configured to remove one or more to-be-removed sub regions, of the multiple candidate sub regions, whose population density is smaller than a preset threshold, to obtain one or more to-be-distributed sub regions;
the device allocating module 703 is configured to allocate cloud mobile phone devices to one or more sub-areas to be allocated.
In practical use, each alternative sub-area in the multiple alternative sub-areas is in a cellular network form;
after the region culling module 702, the apparatus further comprises:
the judging module is used for judging whether the circle center position of the circumscribed circle of each of the one or more to-be-distributed sub-areas is located in a range that the population density in the one or more to-be-distributed sub-areas is smaller than a preset threshold value;
and the shifting module is used for shifting the circle center position within the circumscribed circle range if the circumscribed circle position is within the range that the population density of the circle center position in the one or more sub-areas to be distributed is greater than or equal to a preset threshold value.
In practical use, the offset module is configured to:
acquiring the circle center position in a circumscribed circle range to offset until the circle center position is located in the shortest offset distance in the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to a preset threshold value;
and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
In yet another possible implementation manner, an embodiment of the present invention further provides a server, and fig. 8 shows a schematic structural diagram of the server provided in the embodiment of the present invention, and referring to fig. 8, the server includes: a processor 800, a memory 801, a data bus 802 and a communication interface 803, the processor 800, the memory 801, the communication interface 803 and being connected by the data bus 802; the processor 800 is used to execute executable modules, such as computer programs, stored in the memory 801.
Wherein the memory 801 stores computer-executable instructions that are executable by the processor 800, the processor 800 executes the computer-executable instructions to implement the methods described above.
Further, the Memory 801 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 803 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The data bus 802 may be an ISA data bus, a PCI data bus, or an EISA data bus, among others. The data bus may be divided into an address data bus, a data bus, a control data bus, etc. For ease of illustration, only one double-headed arrow is shown in fig. 8, but this does not indicate only one data bus or one type of data bus.
The memory 801 is used for storing a program, and the processor 800 executes the program after receiving a program execution instruction, where the cloud mobile phone device allocation method disclosed in any embodiment of the present invention may be applied to the processor 800, or implemented by the processor 800.
Further, processor 800 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 or instructions in the form of software in the processor 800. The Processor 800 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed 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 directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 801, and the processor 800 reads the information in the memory 801 and completes the steps of the method in combination with the hardware thereof.
The cloud mobile phone device allocation apparatus provided by the embodiment of the present invention has the same technical features as the cloud mobile phone device allocation method provided by the above embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The computer program product of the cloud mobile phone device allocation method and apparatus provided in the embodiments of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases for those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a ReaD-Only Memory (ROM), a RanDom Access Memory (RAM), a magnetic disk, or an optical disk.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A cloud mobile phone device allocation method is characterized by comprising the following steps:
determining a target area of cloud mobile phone equipment to be distributed, wherein the target area comprises a plurality of candidate sub-areas;
removing one or more to-be-removed sub-areas with population density smaller than a preset threshold value in the candidate sub-areas of the multiple candidate sub-areas to obtain one or more to-be-distributed sub-areas;
and allocating cloud mobile phone equipment to one or more sub-areas to be allocated.
2. The method of claim 1, wherein each of the plurality of alternative sub-regions is in the form of a cellular network;
after one or more to-be-rejected sub-regions with population density smaller than a preset threshold value in the candidate sub-regions in the multiple candidate sub-regions are rejected to obtain one or more to-be-allocated sub-regions, the method further comprises the following steps:
judging whether the circle center position of the circumcircle of each of one or more to-be-distributed subareas is located in a range that the population density in the one or more to-be-distributed subareas is smaller than a preset threshold value;
if so, shifting the circle center position within the range of the circumscribed circle until the circle center position is located within the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to the preset threshold value.
3. The method according to claim 2, wherein the step of offsetting the center position within a circumscribed circle until the center position is within a range where the population density in the one or more sub-areas to be allocated is greater than or equal to a preset threshold value comprises:
acquiring the circle center position in a circumscribed circle range to offset until the circle center position is located in the shortest offset distance in the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to a preset threshold value;
and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
4. The method according to claim 2, wherein before the step of eliminating one or more to-be-eliminated sub-areas with population density smaller than a preset threshold value in the candidate sub-areas of the plurality of candidate sub-areas to obtain one or more to-be-allocated sub-areas, the method further comprises:
randomly selecting one point as an initial center in a circular area which takes a central point of a target area as a circle center and a preset radius as a radius, and setting alternative sub-areas by the preset radius until the target area is filled, so as to obtain the number of the alternative sub-areas;
and iterating the steps until a preset iteration time threshold is reached, and acquiring the minimum number of the alternative sub-regions.
5. The method of claim 2, wherein the step of assigning cloud handset devices to one or more of the sub-areas to be assigned comprises:
acquiring longitude and latitude coordinates of the circle center position of the circumcircle of the one or more sub-areas to be distributed respectively, and converting each longitude and latitude coordinate into each real geographic position coordinate;
and respectively allocating a cloud mobile phone device to each real geographic position coordinate.
6. A cloud mobile phone device distribution apparatus, the apparatus comprising:
the cloud mobile phone equipment allocation method comprises a target area determination module, a cloud mobile phone equipment allocation module and a cloud mobile phone equipment allocation module, wherein the target area determination module is used for determining a target area of the cloud mobile phone equipment to be allocated, and the target area comprises a plurality of candidate sub-areas;
the region removing module is used for removing one or more to-be-removed sub regions with population density smaller than a preset threshold value in the candidate sub regions of the candidate sub regions to obtain one or more to-be-distributed sub regions;
and the equipment allocation module is used for allocating the cloud mobile phone equipment to one or more sub-areas to be allocated.
7. The apparatus of claim 6, wherein each of the plurality of alternative sub-regions is in the form of a cellular network;
after the region culling module, the apparatus further comprises:
the judging module is used for judging whether the circle center position of the circumscribed circle of each of the one or more to-be-distributed sub-areas is located in a range that the population density in the one or more to-be-distributed sub-areas is smaller than a preset threshold value;
and the shifting module is used for shifting the circle center position within the circumscribed circle range if the circumscribed circle position is within the range that the population density of the circle center position in the one or more sub-areas to be distributed is greater than or equal to a preset threshold value.
8. The apparatus of claim 7, wherein the offset module is configured to:
acquiring the circle center position in a circumscribed circle range to offset until the circle center position is located in the shortest offset distance in the range of the population density of the one or more to-be-distributed sub-areas which is greater than or equal to a preset threshold value;
and offsetting the circle center position by the shortest offset distance until the circle center position is positioned in the range that the population density of the one or more to-be-distributed sub-areas is larger than or equal to a preset threshold value.
9. A server, comprising a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor executing the machine executable instructions to perform the method of any one of claims 1-5.
10. A machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011152351.6A CN112272354B (en) | 2020-10-23 | 2020-10-23 | Cloud mobile phone equipment distribution method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011152351.6A CN112272354B (en) | 2020-10-23 | 2020-10-23 | Cloud mobile phone equipment distribution method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112272354A true CN112272354A (en) | 2021-01-26 |
| CN112272354B CN112272354B (en) | 2023-05-30 |
Family
ID=74341955
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011152351.6A Active CN112272354B (en) | 2020-10-23 | 2020-10-23 | Cloud mobile phone equipment distribution method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112272354B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113691937A (en) * | 2021-08-25 | 2021-11-23 | 北京百度网讯科技有限公司 | Method for determining position information, cloud mobile phone and terminal equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170206204A1 (en) * | 2016-01-20 | 2017-07-20 | Alibaba Group Holding Limited | System, method, and device for generating a geographic area heat map |
| CN107392354A (en) * | 2017-06-26 | 2017-11-24 | 海航创新科技研究有限公司 | The method and apparatus for distributing relay station |
| CN108271115A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团内蒙古有限公司 | A kind of method of estimation and device of regional population's density |
| CN109118297A (en) * | 2018-09-29 | 2019-01-01 | 深圳市华耀智慧科技有限公司 | Unmanned retailing vehicle launches control method, device, electronic equipment and storage medium |
| WO2020133995A1 (en) * | 2018-12-26 | 2020-07-02 | 深圳市网心科技有限公司 | Copy deployment method, cloud server, and storage medium |
-
2020
- 2020-10-23 CN CN202011152351.6A patent/CN112272354B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170206204A1 (en) * | 2016-01-20 | 2017-07-20 | Alibaba Group Holding Limited | System, method, and device for generating a geographic area heat map |
| CN108271115A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团内蒙古有限公司 | A kind of method of estimation and device of regional population's density |
| CN107392354A (en) * | 2017-06-26 | 2017-11-24 | 海航创新科技研究有限公司 | The method and apparatus for distributing relay station |
| CN109118297A (en) * | 2018-09-29 | 2019-01-01 | 深圳市华耀智慧科技有限公司 | Unmanned retailing vehicle launches control method, device, electronic equipment and storage medium |
| WO2020133995A1 (en) * | 2018-12-26 | 2020-07-02 | 深圳市网心科技有限公司 | Copy deployment method, cloud server, and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113691937A (en) * | 2021-08-25 | 2021-11-23 | 北京百度网讯科技有限公司 | Method for determining position information, cloud mobile phone and terminal equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112272354B (en) | 2023-05-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110868689B (en) | Standing population determining method and device and electronic equipment | |
| CN109548041B (en) | Wireless coverage analysis method and system | |
| Fang et al. | Flooding risk assessment of coastal tourist attractions affected by sea level rise and storm surge: a case study in Zhejiang Province, China | |
| CN107580337B (en) | Hot spot area identification method and device | |
| CN106559803A (en) | A kind of base station construction appraisal procedure and device | |
| CN112270833B (en) | Trajectory fitting method and device, electronic equipment and storage medium | |
| CN111107556B (en) | Signal coverage quality evaluation method and device of mobile communication network | |
| CN108647910B (en) | Method, device and terminal for setting urban bus stop and computer storage medium | |
| CN111148018B (en) | Method and device for identifying and positioning regional value based on communication data | |
| CN112272354A (en) | Cloud mobile phone equipment distribution method and device | |
| CN112488648A (en) | Jurisdictional enterprise statistical method and related components | |
| CN111429560A (en) | Three-dimensional terrain service fusion method and device and server | |
| CN116450958A (en) | Detection point address selection method and device, electronic equipment and readable storage medium | |
| CN114969153A (en) | Personnel distribution data determination method and device | |
| CN118097961A (en) | Traffic flow data analysis method and device, electronic equipment and storage medium | |
| CN109800283A (en) | Method and device based on the space lattice technology analysis high-incidence region of accident | |
| CN107484133B (en) | Prediction method and prediction system for coverage area of base station | |
| CN112541047A (en) | Mass data aggregation method suitable for multistage gridding management system | |
| CN108153827A (en) | Traffic congestion area determination method and device | |
| CN114021025B (en) | Path recommendation method, device, equipment and storage medium based on meteorological information | |
| CN114838704A (en) | Height detection method and device and computer readable storage medium | |
| CN110853489B (en) | Water system basin basic data acquisition method and device | |
| CN110986996B (en) | Data processing method and device, electronic equipment and storage medium | |
| CN113923666A (en) | Method and device for identifying over-coverage base station, electronic equipment and storage medium | |
| CN114372818A (en) | Method and device for selecting sites of stores and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |