CN109934508A - Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data - Google Patents
Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data Download PDFInfo
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Abstract
The present embodiments relate to a kind of cabinet-type air conditioner site selecting method, device, server and storage medium based on big data.The cabinet-type air conditioner site selecting method based on big data includes: that the area type according to belonging to address to be selected determines that the corresponding cabinet-type air conditioner of the area type launches index in preset reference index；The dispensing assessment data that the cabinet-type air conditioner launches the corresponding address to be selected of index are obtained based on big data；Judge the preset reference data launched assessment data and whether reach the area type；If reaching, prompt to launch cabinet-type air conditioner in the address to be selected.Technical solution provided by the embodiment of the present invention is realized and carries out cabinet-type air conditioner addressing by big data, to reduce the manpower and time cost of cabinet-type air conditioner addressing.
Description
Technical field
The present embodiments relate to big data processing technology field more particularly to a kind of cabinet-type air conditioner addressing sides based on big data
Method, device, server and storage medium.
Background technique
In recent years, as the fast development of e-commerce and the closely bound up express delivery of e-commerce are in rapid growth
Trend, but " last one kilometer " Delivery Problem of express delivery end becomes the bottleneck of express delivery industry development, and intelligent express delivery cabinet is in this ring
It comes into being under border.
Intelligent express delivery cabinet is presently mainly responsible for the addressing of express delivery cabinet when facing the problem of how carrying out express delivery cabinet addressing
Personnel go to place by consulting property, the modes such as courier, collect cell amount, resident population, number, number of floor levels,
The places information such as occupancy rate, trade company's quantity, place signal, place part amount, competing product input situation, then according to the above place information
Whether artificial judgment meets cabinet-type air conditioner addressing requirement.
However, this cabinet-type air conditioner addressing mode needs to spend a large amount of manpower and time to go to investigate place information, manpower and when
Between cost it is all very big.
Summary of the invention
The embodiment of the present invention provides a kind of cabinet-type air conditioner site selecting method, device, server and storage medium based on big data, leads to
It crosses big data and carries out cabinet-type air conditioner addressing, to reduce the manpower and time cost of cabinet-type air conditioner addressing.
In a first aspect, the embodiment of the invention provides a kind of cabinet-type air conditioner site selecting method based on big data, this method comprises:
The corresponding cabinet-type air conditioner of the area type is determined in preset reference index according to area type belonging to address to be selected
Launch index；
The dispensing assessment data that the cabinet-type air conditioner launches the corresponding address to be selected of index are obtained based on big data；
Judge the preset reference data launched assessment data and whether reach the area type；
If reaching, prompt to launch cabinet-type air conditioner in the address to be selected.
Second aspect, the embodiment of the present invention also provide a kind of cabinet-type air conditioner addressing device based on big data, which includes:
Index determining module is launched, determines institute in preset reference index for the area type according to belonging to address to be selected
It states the corresponding cabinet-type air conditioner of area type and launches index；
Assessment data acquisition module is launched, launches the corresponding address to be selected of index for obtaining the cabinet-type air conditioner based on big data
Dispensing assess data；
Judgment module, for judging the preset reference data launched assessment data and whether reach the area type；
Cue module launches cabinet-type air conditioner in the address to be selected for prompting if reaching.
The third aspect, the embodiment of the present invention also provide a kind of server, including memory, processing unit and are stored in storage
On device and the computer program that can run in processing unit, the processing unit realize this hair when executing the computer program
Cabinet-type air conditioner site selecting method based on big data provided by bright first aspect embodiment.
Fourth aspect, the embodiment of the present invention also provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence, it is characterised in that: realized provided by first aspect present invention embodiment when the computer program is executed by processing unit
Cabinet-type air conditioner site selecting method based on big data.
Compared with prior art, the embodiment of the present invention by provide a kind of cabinet-type air conditioner site selecting method based on big data, device,
Server and storage medium, the first area type according to belonging to address to be selected determine the region class in preset reference index
The corresponding cabinet-type air conditioner of type launches index, is then based on big data and obtains the cabinet-type air conditioner and launch the dispensing of the corresponding address to be selected of index and comments
Estimate data, and the preset reference data for judging whether the dispensing assessment data reach the area type prompt if reaching
Cabinet-type air conditioner is launched in the address to be selected.It solves existing cabinet-type air conditioner addressing to need that a large amount of manpower and time is spent to go to investigate place letter
Breath, the technical problem for causing manpower and time cost very big realize the manpower and time cost for reducing cabinet-type air conditioner addressing.
Detailed description of the invention
Fig. 1 is the flow diagram for the cabinet-type air conditioner site selecting method based on big data that first embodiment of the invention provides；
Fig. 2 is the flow diagram for the cabinet-type air conditioner site selecting method based on big data that second embodiment of the invention provides；
Fig. 3 is that point provided by the invention launches grade setting schematic diagram；
Fig. 4 is the modular structure schematic diagram of the cabinet-type air conditioner addressing device provided by the invention based on big data；
Fig. 5 is the structural schematic diagram of server provided by the invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these
Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation
The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with
Corresponding to method, function, regulation, subroutine, subprogram etc..
In addition, term " first ", " second " etc. can be used to describe herein various directions, movement, step or element etc.,
But these directions, movement, step or element should not be limited by these terms.These terms are only used to by first direction, movement, step
Rapid or element and another direction, movement, step or element are distinguished.For example, the case where not departing from scope of the present application
Under, First Speed difference can be known as to second speed difference, and similarly, it is poor second speed difference can be known as First Speed
Value.First Speed difference and second speed difference both speed difference, but it is not same speed difference.Term " the
One ", " second " etc. cannot be understood as indicating or implying relative importance or implicitly indicate the quantity of indicated technical characteristic.
" first " is defined as a result, the feature of " second " can explicitly or implicitly include one or more of the features.At this
In the description of invention, the meaning of " plurality " is at least two, such as two, three etc., unless otherwise specifically defined.
Referring to Fig. 1, first embodiment of the invention provides a kind of cabinet-type air conditioner site selecting method based on big data, it should be based on big
The cabinet-type air conditioner site selecting method of data can be by being executed based on the cabinet-type air conditioner addressing device of big data, which can be by hardware and/or soft
The mode of part is realized, and is typically integrated into server, such as is supported in the business platform server of certain application software, is used for
Reduce the manpower and time cost of cabinet-type air conditioner addressing.The cabinet-type air conditioner site selecting method based on big data includes:
S110: determine that the area type is corresponding in preset reference index according to area type belonging to address to be selected
Cabinet-type air conditioner launches index；
In the present embodiment, address to be selected is indicated with the mansion A, the present invention can be understood as one kind and be determined based on big data
Whether in the mansion A the method for intelligent cabinet-type air conditioner is set.Area type herein is used to indicate the attribute of address to be selected, such as: if A is big
Tall building is the place of enterprise staff working, then area type is exactly office building, if the mansion A is the place of government organs personnel office,
Then area type is exactly government organs.Illustratively, according to practical addressing scene, area type can be with are as follows: residential quarter or quotient live
Mixed zone, factory or industrial area, school, hospital, tourist attraction, shopping centre etc..
Preset reference index can be the table prestored, indicate that area type and cabinet-type air conditioner launch the corresponding relationship of index,
It is to be understood which the reference index that office building launches intelligent cabinet-type air conditioner has, which the reference index that intelligent cabinet-type air conditioner is launched by school has
A bit.Preset reference index can also be a file, wherein having preset multiple regions type and different area type correspondences
Different cabinet-type air conditioners launches index.Corresponding relationship in addition, coverage area type and cabinet-type air conditioner launch index, and between the two its
His form text or record data, it is within the scope of the present invention.It mainly includes sending part amount, posting part that cabinet-type air conditioner, which launches index,
Amount, the exposure of the exposure of mutual matchmaker's advertisement and electric business.In addition, further include city rank belonging to address to be selected (a line city,
Tier 2 cities etc.), the resident's number or office number, construction area, the volume of the flow of passengers, place signal value (wireless network) of address to be selected
Deng.It should be noted that intelligent cabinet-type air conditioner must use wireless network, it need to be according to the excellent situation optimum selecting service provider of signal
(telecommunications, movement, connection).
S120: the dispensing assessment data that the cabinet-type air conditioner launches the corresponding address to be selected of index are obtained based on big data；
Step S120 includes following sub-step:
S121: the preset data in the preset range on the address periphery to be selected is chosen, wherein the preset data includes
At least one of internet data and carrier data；
S122: cabinet-type air conditioner of the address to be selected in the preset range is obtained according to the preset data and launches index pair
The dispensing assessment data answered.
With address to be selected for the mansion A, for preset range is 500 meters, it is possible to understand that are as follows: it chooses in 500 meters of the mansion A periphery
The daily internet data or carrier data of several users, then from obtained internet data or carrier data
It filters out cabinet-type air conditioner and launches the corresponding dispensing assessment data of index.Specifically, can according to Express Logistics company (such as: along it is rich, circle
Lead to) send part to post the user in 500 meters of the part data acquisition daily mansion A region and send part amount and to post part amount.It can be according to interconnection
The purchase order data of some shopping website platforms (such as: Taobao, Jingdone district) in network data, obtain the user in the mansion A region
Send part amount.Cell amount can also be obtained according to internet data or carrier data, resident population, number, number of floor levels, moved in
The data such as rate, trade company's quantity.It should be noted that if it is to send part amount that cabinet-type air conditioner, which launches index, in the number according to Express Logistics company
According to platform the user in 500 meters of the daily mansion A region is got to send part amount be 300 when, 300/day are to send the throwing of part amount
Put assessment data.
S130: judge the preset reference data launched assessment data and whether reach the area type；
In the present embodiment, preset reference data are the reference data that the corresponding cabinet-type air conditioner of area type launches index, with region
For type is residential quarter or Hybrid area of commerce and residence, if cabinet-type air conditioner is launched, index is city rank and daily sends part amount, and basis is default
Reference data, such as: part amount >=60 are daily sent in a line city；Tier 2 cities daily send part amount >=70, carry out judgment step
Whether the dispensing assessment data that S120 is obtained reach the preset reference data.It should be noted that the default ginseng in the present embodiment
Data are examined according to actual scene or service conditions, may include that multiple cabinet-type air conditioners launch the corresponding dispensing assessment data of index.
Such as: address to be selected need to meet place semaphore request (it is place signal value that cabinet-type air conditioner, which launches index), corresponding, signal
Standard (preset reference data): if signal numerical value mean value > -90 ± 2dBm, signal be it is excellent, cabinet-type air conditioner can be launched；If signal
Numerical value mean value < -95dBm, then be unable to satisfy communication, forbids launching cabinet-type air conditioner.Alternatively, address to be selected needs to meet resident's number requirement
(cabinet-type air conditioner launch index be resident's number), corresponding, preset reference data can be with are as follows: for residential quarter or Hybrid area of commerce and residence, a line
City need to meet resident's number >=200 families；Other cities need to meet resident's number >=300 families.Alternatively, address to be selected needs to meet building
Area requirements (cabinet-type air conditioner launch index be construction area), corresponding, preset reference data can be with are as follows: for office building, needs to meet
Construction area >=30000 ㎡.
S140: it if reaching, prompts to launch cabinet-type air conditioner in the address to be selected.
When dispensing assessment data in address to be selected reach the preset reference data of the area type belonging to it, prompt to
Cabinet-type air conditioner is launched in selection of land location, otherwise, prompts not launch cabinet-type air conditioner.
The cabinet-type air conditioner site selecting method based on big data that first embodiment of the invention provides, first according to belonging to address to be selected
Area type determines that the corresponding cabinet-type air conditioner of the area type launches index in preset reference index, is then based on big data acquisition
Data are assessed in the dispensing that the cabinet-type air conditioner launches the corresponding address to be selected of index, and judge whether the dispensing assessment data reach institute
The preset reference data for stating area type prompt to launch cabinet-type air conditioner in the address to be selected if reaching.Solves existing cabinet-type air conditioner choosing
Location needs that a large amount of manpower and time is spent to go to investigate place information, and the technical problem for causing manpower and time cost very big is real
Now reduce the manpower and time cost of cabinet-type air conditioner addressing.
Referring to Fig. 2, second embodiment of the invention also provides a kind of cabinet-type air conditioner site selecting method based on big data, this implementation
Based on first embodiment, be somebody's turn to do the cabinet-type air conditioner site selecting method based on big data further comprises example:
S210: when determining after cabinet-type air conditioner is launched in the address to be selected, confirm that each point of the address to be selected is launched
Grade；
In the present embodiment, the address to be selected includes that multiple cabinet-type air conditioners launch point, when determine certain mansion launch cabinet-type air conditioner it
Afterwards, further consider to launch the maximization that cabinet-type air conditioner realizes cabinet-type air conditioner value in which place (point) of mansion, promote cabinet-type air conditioner
Integral benefit.Based on this, it is provided with point and launches grade, it may be assumed that according to the specific position for sending part amount and each point of address to be selected
It sets and determines that each point of address to be selected launches grade, the specific embodiment that point launches grade can refer to shown in Fig. 3.It needs to infuse
Meaning can refer to following standard according to place situation when actual setting point launches grade:
First, it is noted that mutually the synchronous of matchmaker's advertisement value is embodied, and is cooperateed with and other value-added services such as is kept in, posts part, it is preferential to select
The significant high-quality point for taking the flows of the people such as the main channel entrance for facilitating courier to send part more；
Secondly, grasp courier send with charge free route and user's pickup habit etc. important informations, it is longer for the working time and
Rhythm of life faster line city slightly can consider to be close to the users more on the basis of meeting courier's demand；Life is saved
Two or three slower line cities are played, can mainly consider the convenience that courier delivers；
Again, preferentially choosing courier's vehicle can go directly, and facilitate the significant point of mutual matchmaker's high value of delivery, avoid throwing
Being put in there are step, every bank, ditch etc. leads to send with charge free the point that vehicle can not go directly and need the more complex difficulty of delivery of secondary conveying
Position.
S220: the point priority that grade determines each point of the address to be selected is launched according to the point, with root
Cabinet-type air conditioner is launched according to the point priority.
Specifically, the cabinet-type air conditioner is preferentially thrown to the high point of point priority, wherein the point launches grade
Height and the height of the point priority are positively correlated.It is to be understood that point is launched, higher grade, and corresponding point is excellent
First grade highest preferentially launches cabinet-type air conditioner in this point.It illustrates, as shown in figure 3, S indicates outstanding, A indicates good, and B is indicated
Generally, point launches grade are as follows: SS > SA > SB > AS > AA > AB > BS > BA > BB, therefore point priority are as follows: SS > SA
> SB > AS > AA > AB > BS > BA > BB.It follows that SS is the optimal dispensing point of address to be selected.
In technical solution disclosed in the present embodiment, after being determined at address to be selected and launching cabinet-type air conditioner, by point priority,
Cabinet-type air conditioner preferentially is launched in the high point of point priority, so, it can be achieved that the maximization of cabinet-type air conditioner value, promotes the whole of cabinet-type air conditioner and receive
Benefit.
Referring to Fig. 4, the present invention provides a kind of cabinet-type air conditioner addressing device based on big data, it should cabinet-type air conditioner based on big data
Addressing device can realize the cabinet-type air conditioner site selecting method based on big data of above-described embodiment, should the cabinet-type air conditioner addressing device based on big data
Include: to launch index determining module 410, launches assessment data acquisition module 420, judgment module 430 and cue module 440.
Index determining module 410 is launched, it is true in preset reference index for the area type according to belonging to address to be selected
Determine the corresponding cabinet-type air conditioner of the area type and launches index；
Assessment data acquisition module 420 is launched, it is corresponding to be selected for launching index based on the big data acquisition cabinet-type air conditioner
Data are assessed in the dispensing of address；
Judgment module 430, for judging the preset reference number launched assessment data and whether reach the area type
According to；
Cue module 440 launches cabinet-type air conditioner in the address to be selected for prompting if reaching.
Cabinet-type air conditioner addressing device provided by the invention based on big data, the first area type according to belonging to address to be selected exist
It determines that the corresponding cabinet-type air conditioner of the area type launches index in preset reference index, is then based on big data and obtains the cabinet-type air conditioner throwing
The dispensing assessment data of the corresponding address to be selected of index are put, and judge whether the dispensing assessment data reach the area type
Preset reference data prompt to launch cabinet-type air conditioner in the address to be selected if reaching.It solves existing cabinet-type air conditioner addressing to need to spend
A large amount of manpower and time go to investigate place information, and the technical problem for causing manpower and time cost very big, realizing reduces cabinet-type air conditioner
The manpower and time cost of addressing.
On the basis of the above embodiments, it includes the exposure sent part amount, post part amount, mutual matchmaker's advertisement that the cabinet-type air conditioner, which launches index,
One of exposure of degree and electric business is a variety of.
On the basis of the above embodiments, launching assessment data acquisition module 420 includes:
Preset data obtains module, the preset data in preset range for choosing the address periphery to be selected, wherein
The preset data includes at least one of internet data and carrier data；
Assessment data screening module is launched, for obtaining the address to be selected in the default model according to the preset data
Cabinet-type air conditioner in enclosing launches the corresponding dispensing assessment data of index.
On the basis of the above embodiments, the preset data is the transaction data of default shopping software, and the dispensing is commented
Estimating data screening module includes:
User of the address to be selected in the preset range, which is obtained, according to the transaction data of default shopping software sends part
Measure data.
On the basis of the above embodiments, the address to be selected includes that multiple cabinet-type air conditioners launch point, described to be based on big data
Cabinet-type air conditioner site selecting method further include:
Point launches grade and obtains module, for when determining after cabinet-type air conditioner is launched in the address to be selected, described in confirmation to
Each point of selection of land location launches grade；
Point Priority Determination module, for launching each point that grade determines the address to be selected according to the point
Point priority, with according to the point priority launch cabinet-type air conditioner.
On the basis of the above embodiments, point dispensing grade acquisition module includes:
The specific location of part amount and each point is sent to confirm each point of the address to be selected according to the address to be selected
Launch grade in position.
On the basis of the above embodiments, point Priority Determination module includes:
The point priority that grade determines each point in a manner of positively related is launched according to the point；
The cabinet-type air conditioner is preferentially thrown to the high point of point priority.
Referring to Fig. 5, it illustrates be suitable for be used to realize cabinet-type air conditioner site selecting method of the embodiment of the present invention based on big data and/
Or the structural schematic diagram of the server 800 of the cabinet-type air conditioner addressing device based on big data.Server in the embodiment of the present invention can be with
It is typical such as server or server cluster arbitrarily to there is the calculating equipment of data-handling capacity.Server shown in Fig. 5 is only
An example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 5, server 800 may include processing unit (such as central processing unit, graphics processor etc.) 801,
It can be loaded into random access storage according to the program being stored in read-only memory (ROM) 802 or from storage device 808
Program in device (RAM) 803 and execute various movements appropriate and processing.In RAM 803, it is also stored with the behaviour of server 800
Various programs and data needed for making.Processing unit 801, ROM 802 and RAM 803 are connected with each other by bus 804.It is defeated
Enter/export (I/O) interface 805 and is also connected to bus 804.
In general, following device can connect to I/O interface 805: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph
As the input unit 806 of head, microphone, accelerometer, gyroscope etc.；Including such as liquid crystal display (LCD), loudspeaker, vibration
The output device 807 of dynamic device etc.；Storage device 808 including such as tape, hard disk etc.；And communication device 809.Communication device
809, which can permit server 800, is wirelessly or non-wirelessly communicated with other equipment to exchange data.Although Fig. 5, which is shown, to be had
The server 800 of various devices, it should be understood that being not required for implementing or having all devices shown.It can substitute
Implement or have more or fewer devices in ground.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, calculate
The cabinet-type air conditioner addressing based on big data as provided by the aforementioned any embodiment of the present invention is realized when machine program is executed by processing unit
Method.
Particularly, according to an embodiment of the invention, the cabinet-type air conditioner addressing side based on big data described above with reference to flow chart
The process of method may be implemented as computer software programs.For example, the embodiment of the present invention includes a kind of computer program product,
It includes the computer program of carrying on a computer-readable medium, which includes for executing above-mentioned flow chart institute
The program code for the method shown.In such embodiments, the computer program can by communication device 809 from network quilt
Downloading and installation are perhaps mounted from storage device 808 or are mounted from ROM 802.In computer program dress processed
When setting 801 execution, the above-mentioned function of limiting in the cabinet-type air conditioner site selecting method based on big data of the embodiment of the present invention is executed.
It should be noted that above-mentioned computer-readable medium of the invention can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to
Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable and deposit
Any computer-readable medium other than storage media, the computer-readable signal media can send, propagate or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: electric wire, optical cable, RF (radio frequency) etc. are above-mentioned
Any appropriate combination.
Above-mentioned computer-readable medium can be included in above-mentioned server；It is also possible to individualism, and without
It is incorporated in the server.
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by the clothes
When business device executes, so that the server: obtaining at least two internet protocol addresses；Send to Node evaluation equipment includes at least two
The Node evaluation of a internet protocol address is requested, wherein Node evaluation equipment chooses net from least two internet protocol addresses
Internet protocol address simultaneously returns；The internet protocol address that receiving node valuator device returns；Wherein, acquired internet protocol address
Indicate the fringe node in content distributing network.
Alternatively, above-mentioned computer-readable medium carries one or more program, when said one or multiple programs
When being executed by the server, so that the server: receiving the Node evaluation including at least two internet protocol addresses and request；From to
In few two internet protocol addresses, internet protocol address is chosen；Return to the internet protocol address selected；Wherein, it receives
Internet protocol address indicates the fringe node in content distributing network.
The calculating for executing operation of the invention can be write with one or more programming languages or combinations thereof
Machine program code, above procedure design language include object oriented program language-such as Java, Smalltalk, C+
+, it further include conventional procedural programming language-such as " C " language or similar programming language.Program code can
Fully to execute, partly execute on the user computer on the user computer, be executed as an independent software package,
Part executes on the remote computer or executes on a remote computer or server completely on the user computer for part.
In situations involving remote computers, remote computer can pass through the network of any kind --- including local area network (LAN)
Or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service
Provider is connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in the embodiment of the present invention involved module or unit can be realized by way of software, can also be with
It is realized by way of hardware.Wherein, the title of unit does not constitute the restriction to the unit itself, example under certain conditions
Such as, first acquisition unit is also described as " obtaining the unit of at least two internet protocol addresses ".
Above description is only presently preferred embodiments of the present invention and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that the open scope involved in the present invention, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from design disclosed above, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the present invention
Can technical characteristic replaced mutually and the technical solution that is formed.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiments here, be able to carry out for a person skilled in the art it is various it is apparent variation, again
Adjustment and substitution are without departing from protection scope of the present invention.Therefore, although by above embodiments to the present invention carried out compared with
For detailed description, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, can be with
Including more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of cabinet-type air conditioner site selecting method based on big data characterized by comprising
Determine that the corresponding cabinet-type air conditioner of the area type is launched in preset reference index according to area type belonging to address to be selected
Index；
The dispensing assessment data that the cabinet-type air conditioner launches the corresponding address to be selected of index are obtained based on big data；
Judge the preset reference data launched assessment data and whether reach the area type；
If reaching, prompt to launch cabinet-type air conditioner in the address to be selected.
2. the cabinet-type air conditioner site selecting method according to claim 1 based on big data, which is characterized in that the cabinet-type air conditioner launches index
Including sending one of part amount, the exposure for posting part amount, the exposure of mutual matchmaker's advertisement and electric business or a variety of.
3. the cabinet-type air conditioner site selecting method according to claim 2 based on big data, which is characterized in that described to be obtained based on big data
The cabinet-type air conditioner is taken to launch the dispensing assessment data of the corresponding address to be selected of index, comprising:
Choose the preset data in the preset range on the address periphery to be selected, wherein the preset data includes interconnection netting index
According at least one of with carrier data；
Cabinet-type air conditioner of the address to be selected in the preset range, which is obtained, according to the preset data launches the corresponding dispensing of index
Assess data.
4. the cabinet-type air conditioner site selecting method according to claim 3 based on big data, which is characterized in that the preset data is pre-
If the transaction data for software of doing shopping, described to obtain cabinet of the address to be selected in the preset range according to the preset data
Machine launches the corresponding dispensing of index and assesses data, comprising:
User of the address to be selected in the preset range, which is obtained, according to the transaction data of default shopping software sends part amount number
According to.
5. the cabinet-type air conditioner site selecting method according to claim 4 based on big data, which is characterized in that the address to be selected includes
Multiple cabinet-type air conditioners launch point, the cabinet-type air conditioner site selecting method based on big data further include:
When determining after cabinet-type air conditioner is launched in the address to be selected, confirm that each point of the address to be selected launches grade；
The point priority that grade determines each point of the address to be selected is launched according to the point, according to the point
Priority launches cabinet-type air conditioner.
6. the cabinet-type air conditioner site selecting method according to claim 5 based on big data, which is characterized in that the confirmation is described to be selected
Each point of address launches grade, comprising:
The specific location of part amount and each point is sent to confirm that each point of the address to be selected is thrown according to the address to be selected
Put grade.
7. the cabinet-type air conditioner site selecting method according to claim 5 based on big data, which is characterized in that described according to the point
The point priority that grade determines each point of the address to be selected is launched, to launch cabinet-type air conditioner according to the point priority,
Include:
The point priority that grade determines each point in a manner of positively related is launched according to the point；
The cabinet-type air conditioner is preferentially thrown to the high point of point priority.
8. a kind of cabinet-type air conditioner addressing device based on big data, which is characterized in that the cabinet-type air conditioner addressing device packet based on big data
It includes:
Index determining module is launched, determines the area in preset reference index for the area type according to belonging to address to be selected
The corresponding cabinet-type air conditioner of field type launches index；
Assessment data acquisition module is launched, for obtaining the throwing that the cabinet-type air conditioner launches the corresponding address to be selected of index based on big data
Put assessment data；
Judgment module, for judging the preset reference data launched assessment data and whether reach the area type；
Cue module launches cabinet-type air conditioner in the address to be selected for prompting if reaching.
9. a kind of server including memory, processing unit and stores the meter that can be run on a memory and in processing unit
Calculation machine program, it is characterised in that: the processing unit is realized when executing the computer program as any in claim 1 to 7
The cabinet-type air conditioner site selecting method based on big data.
10. a kind of storage medium, is stored thereon with computer program, it is characterised in that: the computer program is by processing unit
The cabinet-type air conditioner site selecting method based on big data as described in any in claim 1 to 7 is realized when execution.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910219003.7A CN109934508A (en) | 2019-03-21 | 2019-03-21 | Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data |
| PCT/CN2019/090881 WO2020186646A1 (en) | 2019-03-21 | 2019-06-12 | Site selection method and device for locker, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910219003.7A CN109934508A (en) | 2019-03-21 | 2019-03-21 | Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109934508A true CN109934508A (en) | 2019-06-25 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910219003.7A Pending CN109934508A (en) | 2019-03-21 | 2019-03-21 | Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN109934508A (en) |
| WO (1) | WO2020186646A1 (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110414746A (en) * | 2019-08-07 | 2019-11-05 | 软通动力信息技术有限公司 | Crowd's wound space opens up address choice method, apparatus, equipment and storage medium |
| CN110782167A (en) * | 2019-10-25 | 2020-02-11 | 上海德启信息科技有限公司 | Method and device for managing receiving and dispatching area and storage medium |
| CN112036629A (en) * | 2020-08-25 | 2020-12-04 | 上海中通吉网络技术有限公司 | Method and system for planning dispatch personnel dispatch range and dispatch path |
| CN112488195A (en) * | 2020-11-30 | 2021-03-12 | 上海寻梦信息技术有限公司 | Party delivery identification method, device, equipment and storage medium |
| CN112801701A (en) * | 2021-01-29 | 2021-05-14 | 广州富港万嘉智能科技有限公司 | Method, storage medium and apparatus for addressing food automatic manufacturing equipment |
| CN113077181A (en) * | 2021-04-22 | 2021-07-06 | 上海钧正网络科技有限公司 | Parking station setting method, device, medium and electronic equipment |
| CN114331206A (en) * | 2022-01-06 | 2022-04-12 | 重庆紫光华山智安科技有限公司 | Point location addressing method and device, electronic equipment and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108053096A (en) * | 2017-11-22 | 2018-05-18 | 链家网（北京）科技有限公司 | Items in commerce real estate address approach and device |
| CN108171452A (en) * | 2017-12-08 | 2018-06-15 | 苏宁云商集团股份有限公司 | A kind of express delivery point addressing method and device |
| CN108520344A (en) * | 2018-03-27 | 2018-09-11 | 华南农业大学 | A kind of construction method of intelligent express delivery cabinet system for client concentrated area |
| CN108874801A (en) * | 2017-05-09 | 2018-11-23 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus of dispensing station addressing |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377265A (en) * | 2018-09-21 | 2019-02-22 | 金蝶蝶金云计算有限公司 | Site selecting method, device, equipment and storage medium |
-
2019
- 2019-03-21 CN CN201910219003.7A patent/CN109934508A/en active Pending
- 2019-06-12 WO PCT/CN2019/090881 patent/WO2020186646A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874801A (en) * | 2017-05-09 | 2018-11-23 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus of dispensing station addressing |
| CN108053096A (en) * | 2017-11-22 | 2018-05-18 | 链家网（北京）科技有限公司 | Items in commerce real estate address approach and device |
| CN108171452A (en) * | 2017-12-08 | 2018-06-15 | 苏宁云商集团股份有限公司 | A kind of express delivery point addressing method and device |
| CN108520344A (en) * | 2018-03-27 | 2018-09-11 | 华南农业大学 | A kind of construction method of intelligent express delivery cabinet system for client concentrated area |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110414746A (en) * | 2019-08-07 | 2019-11-05 | 软通动力信息技术有限公司 | Crowd's wound space opens up address choice method, apparatus, equipment and storage medium |
| CN110782167A (en) * | 2019-10-25 | 2020-02-11 | 上海德启信息科技有限公司 | Method and device for managing receiving and dispatching area and storage medium |
| CN110782167B (en) * | 2019-10-25 | 2024-03-05 | 上海德启信息科技有限公司 | Method, device and storage medium for managing receiving and dispatching area |
| CN112036629A (en) * | 2020-08-25 | 2020-12-04 | 上海中通吉网络技术有限公司 | Method and system for planning dispatch personnel dispatch range and dispatch path |
| CN112488195A (en) * | 2020-11-30 | 2021-03-12 | 上海寻梦信息技术有限公司 | Party delivery identification method, device, equipment and storage medium |
| CN112488195B (en) * | 2020-11-30 | 2024-04-19 | 上海寻梦信息技术有限公司 | Method, device, equipment and storage medium for identifying dispatch of dispatcher |
| CN112801701A (en) * | 2021-01-29 | 2021-05-14 | 广州富港万嘉智能科技有限公司 | Method, storage medium and apparatus for addressing food automatic manufacturing equipment |
| CN113077181A (en) * | 2021-04-22 | 2021-07-06 | 上海钧正网络科技有限公司 | Parking station setting method, device, medium and electronic equipment |
| CN114331206A (en) * | 2022-01-06 | 2022-04-12 | 重庆紫光华山智安科技有限公司 | Point location addressing method and device, electronic equipment and readable storage medium |
| CN114331206B (en) * | 2022-01-06 | 2022-11-01 | 重庆紫光华山智安科技有限公司 | Point location addressing method and device, electronic equipment and readable storage medium |
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| Publication number | Publication date |
|---|---|
| WO2020186646A1 (en) | 2020-09-24 |
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Application publication date: 20190625 |