CN113269340A - Method and system for calculating and displaying heat value of network appointment area - Google Patents
Method and system for calculating and displaying heat value of network appointment area Download PDFInfo
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Abstract
The invention discloses a method and a system for calculating and displaying a heat value of a network taxi appointment area, wherein the method comprises the following steps: obtaining historical network car booking order data and current network car booking order data; analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region; establishing a corresponding change trend prediction function model; sequentially filling the historical heat and the current heat of each region into a change trend prediction function model, and respectively obtaining a historical correlation coefficient a and a change trend coefficient b of each region after analog calculation; respectively calculating and obtaining the heat value of each region by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula; and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
Description
Technical Field
The invention relates to the technical field of calculation and display of net appointment vehicle heat value, in particular to a method and a system for calculating and displaying net appointment vehicle regional heat value.
Background
With the development of the internet, the network coverage rate is continuously improved, and meanwhile, the intelligent equipment is also popularized in the life of people at a high speed, so that the network taxi appointment service depending on the network can be smoothly realized and supported by people. In the network car booking service, a user can realize corresponding network car booking service on a network car booking platform through intelligent equipment, and the network car booking service gradually becomes an important means for people to go on a journey due to the characteristics of convenience and timeliness. After the driver signs a contract with the corresponding network car booking platform, the driver can obtain the network car booking order service from the signed platform. With the increasing of the number of drivers, in order to reduce the empty driving rate of the drivers so as to improve the overall efficiency, the network taxi booking platform needs to provide various auxiliary means for the drivers, wherein the method comprises the steps of calculating corresponding heat values according to areas, and enabling the drivers to select the areas with more orders for the network taxi booking to pick up orders according to the heat values so as to improve the order picking-up efficiency and reduce the empty driving rate.
However, the inventor found that in the prior art, the calculation method of the heat value only considers the current network car booking order number, the display mode of the heat value is not intuitive, and due to the hysteresis of information, after a driver reaches an area with a high heat value, the driver still can be in a situation that the driver cannot receive the network car booking order due to the change of the order number of the area. Therefore, the inventor believes that it is highly desirable to invent a method for calculating and displaying net appointment order heat value more reasonably.
Disclosure of Invention
In order to overcome the technical defect that the conventional method for calculating the net car-booking heat value is unreasonable, the invention provides a method and a system for calculating and displaying the net car-booking area heat value, wherein the method for calculating the net car-booking area heat value is more reasonable.
In order to solve the problems, the invention is realized according to the following technical scheme:
the invention discloses a method for calculating and displaying a heat value of a network taxi appointment area, which comprises the following steps:
obtaining historical network car booking order data and current network car booking order data;
analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region;
establishing a corresponding change trend prediction function model;
sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively obtaining a historical correlation coefficient a and a change trend coefficient b of each region after analog calculation;
respectively calculating and obtaining the heat value of each region by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula;
and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
As a preferred implementation, the heat value calculation formula is: the heat value is historical heat and a historical correlation coefficient a + current heat and a change trend coefficient b.
As a preferred implementation, after obtaining the historical heat and the current heat corresponding to each region, the method further includes: and marking the area with the historical heat or the current heat of 0 to form a marked area.
As a preferred implementation, after the marking the area with the historical heat and the current heat of 0, the method further includes: and the data of the marked region is not filled in the change trend prediction function model, and the heat value of the marked region is set as the current heat.
As a preferred implementation, the trend prediction function model is established based on Newton's law of cooling.
On the other hand, the invention also discloses a system for calculating and displaying the heat value of the network car booking area, which comprises the following steps:
the data acquisition module is used for acquiring historical network car booking order data and current network car booking order data;
the data analysis module is used for analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region;
the model establishing module is used for establishing a corresponding change trend prediction function model;
the simulation calculation module is used for sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively acquiring a historical correlation coefficient a and a change trend coefficient b of each region after simulation calculation;
the heat degree calculation module is used for obtaining the heat degree value of each area after calculation by substituting the historical heat degree, the current heat degree, the historical correlation coefficient a and the change trend coefficient b based on a heat degree value calculation formula;
and the heat display module is used for sequencing the regions from high to low according to the heat values to form a heat value list, and changing the corresponding regions on the map into preset color values according to the heat values to form a heat value map.
As a preferred implementation in combination with the second aspect, the calorific value calculation formula is: the heat value is historical heat and a historical correlation coefficient a + current heat and a change trend coefficient b.
As a preferred implementation in combination with the second aspect, the data analysis module further includes a region labeling unit, specifically: and the area marking unit is used for marking the area with the historical heat or the current heat of 0 to form a marked area.
As a preferred implementation in combination with the second aspect, the data analysis module further includes a skip prediction unit, specifically: and the skip prediction unit is used for enabling the data of the marked region not to fill in the change trend prediction function model, and the heat value of the marked region is set as the current heat.
As a preferred implementation in combination with the second aspect, the trend prediction function model is established based on newton's law of cooling.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, historical heat and current heat are obtained after analysis by combining historical network car booking order data and current network car booking order data, a change trend prediction function model is established, corresponding historical correlation coefficient a and change trend coefficient b are obtained through simulation calculation, and finally, more reliable heat values of all areas are obtained after comprehensive calculation of the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b. When the heat value is calculated, the current heat and the historical heat are comprehensively calculated, and the change trend of the network car booking order can be effectively predicted through the historical network car booking order record, so that a driver can guide the driver to go, the empty driving rate of the driver is reduced, the waiting time of the user after sending the network car booking order can be shortened, and the use experience of drivers and passengers is improved. The invention integrates the historical heat and the calculation method of the prediction function model, and the calculation result of the heat value is more reasonable and accurate.
Drawings
Embodiments of the invention are described in further detail below with reference to the attached drawing figures, wherein:
FIG. 1 is a schematic flow chart of a method for calculating and displaying a heat value of a network appointment area according to the present invention;
FIG. 2 is a schematic overall flow chart of the method for calculating and displaying the heat value of the network appointment area according to the invention;
FIG. 3 is a schematic diagram of a system for calculating and displaying net appointment area heat value of the present invention;
FIG. 4 is a schematic view of the system for calculating and displaying the heat value of the network appointment area of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The implementation of the invention needs at least one driver end with positioning and information receiving and transmitting functions and at least one server capable of processing and transmitting and receiving information, wherein the driver end is provided with a corresponding network appointment platform application program, and the driver end is connected with the server through a network to realize information transmission. The server comprises an application server, a message queue server and a database server, wherein the application server is used for receiving and sending information of the network car booking platform application program, and the message queue server is used for temporarily storing the information and transmitting the information to the database server in batches according to preset conditions so as to reduce the processing amount and the writing amount of the information of the database server at the same time.
In some implementations, the driver side may be a desktop computer, a laptop computer, a smart phone, a tablet computer, a smart watch, and other devices with corresponding taxi taking applications installed therein. In some embodiments, the server may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof.
Example 1
As shown in fig. 1 and 2, the invention discloses a method for calculating and displaying a net appointment area heat value, which comprises the following steps:
step S1: and obtaining historical vehicle booking order data and current vehicle booking order data.
Specifically, the server acquires historical network car booking order data stored in the database, acquires real-time current network car booking order data according to the situation of the current network car booking order, and correspondingly classifies the historical network car booking order data and the current network car booking order data based on regions to form a network car booking order data group grouped by regions so as to facilitate subsequent analysis and calculation.
Step S2: and analyzing the historical network car booking order data and the current network car booking order data respectively based on the areas to obtain the historical heat and the current heat corresponding to each area.
Specifically, historical network car booking order data and current network car booking order data of each area are analyzed in sequence based on the areas, and after calculation is carried out through a heat degree operation formula, the historical network car booking order data and the current network car booking order data are converted into historical heat degrees and current heat degrees of each area. The historical heat and the current heat of each area are correspondingly associated with the corresponding areas one by one.
Substep S21: and marking the area with the historical heat or the current heat of 0 to form a marked area.
Specifically, after analysis and operation, the historical heat and the current heat are judged one by one, if an area with the historical heat or the current heat of 0 appears, the area is considered to have no heat or the heat tends to 0, and the corresponding area is marked to form a corresponding marked area so as to facilitate subsequent distinguishing and processing.
Substep S22: and the data of the marked region is not filled in the change trend prediction function model, and the heat value of the marked region is set as the current heat.
Specifically, the server separately fetches the data of all the marked areas and performs a flow of skipping part of prediction calculation to reduce the overall amount of calculation. The server separates the data of the marked region, specifically the historical heat and the current heat corresponding to the marked region, and takes the heat value of the marked region as the current heat, and the heat value of the marked region is not further calculated, so that the calculation load of the server is reduced.
Step S3: and establishing a corresponding change trend prediction function model.
Specifically, a change trend prediction function model is established according to historical network car-booking order data of different areas, the overall increasing and decreasing trend and the overall increasing and decreasing rate obtained by summarizing the network car-booking order history records and the corresponding change prediction functions, and is used for predicting the change trend of the number of the network car-booking orders of each area.
In this embodiment, as a preferred implementation, the trend-of-change prediction function model is established based on newton's law of cooling. The Newton cooling law is suitable for the field of network appointment vehicles, and the establishment of a change trend prediction function model is carried out based on the Newton cooling law, so that the accuracy of prediction is improved.
Step S4: and sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively obtaining the historical correlation coefficient a and the change trend coefficient b of each region after analog calculation.
Specifically, the server fills the historical heat and the current heat of each area into the change trend model respectively, and sequentially performs simulation calculation on the change trend of the network appointment order of each area, so as to obtain a historical correlation coefficient a corresponding to the historical heat and a change trend coefficient b corresponding to the natural heat. And respectively storing the historical correlation coefficient a and the change trend coefficient b corresponding to the corresponding areas for subsequent calculation.
Step S5: and respectively calculating to obtain the heat value of each area by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula.
Specifically, the server obtains a preset heat value calculation formula, and respectively and sequentially substitutes the historical heat, the current heat, the historical correlation coefficient a and the variation trend coefficient b of each region into the heat value calculation formula to calculate and obtain the heat value of each region. Wherein, the heat value is historical heat and historical correlation coefficient a + current heat and change trend coefficient b. The application of the heat value calculation formula can calculate the heat value more reasonably and effectively predict the subsequent change of the taxi appointment orders of each regional network so as to better guide drivers.
Step S6: and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
Specifically, the server sorts the heat value of each area, and sequentially fills the blank list after sorting from high to low to form a heat value list. Then, the corresponding area on the map is changed in color according to the heat value, and the changed color is a preset color value, thereby forming a heat value map which distinguishes the heat value by the color value. The heat value list and the heat value map are respectively transmitted to a driver end through a network so as to visually display the related heat value, so that a driver is guided to go to an area with a high heat value, and the idle driving rate of the driver is reduced. Meanwhile, the network car booking experience of the driver and the passenger is improved.
According to the method, historical heat and current heat are obtained after analysis by combining historical network car booking order data and current network car booking order data, a change trend prediction function model is established, corresponding historical correlation coefficient a and change trend coefficient b are obtained through simulation calculation, and finally, more reliable heat values of all areas are obtained after comprehensive calculation of the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b.
In addition, when the heat value is calculated, the current heat and the historical heat are comprehensively calculated, and the change trend of the network car booking order can be effectively predicted through the historical network car booking order record, so that a driver can guide to go, the empty driving rate of the driver is reduced, the waiting time of the user after sending the network car booking order can be shortened, and the use experience of drivers and passengers is improved. The invention integrates the historical heat and the calculation method of the prediction function model, and the calculation result of the heat value is more reasonable and accurate.
Other steps of the method for calculating and displaying the heat of the network appointment area described in the embodiment are as follows in the prior art.
Example 2
As shown in fig. 3 and 4, the present invention also discloses a system for calculating and displaying a net appointment area heat value, which specifically comprises:
the data acquisition module M1 is used for acquiring historical network car booking order data and current network car booking order data;
the data analysis module M2 is used for analyzing the historical network car booking order data and the current network car booking order data based on the areas respectively to obtain the historical heat and the current heat corresponding to each area;
the model establishing module M3 is used for establishing a corresponding change trend prediction function model;
the simulation calculation module M4 is used for sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively acquiring the historical correlation coefficient a and the change trend coefficient b of each region after simulation calculation;
the heat degree calculation module M5 is used for obtaining the heat degree value of each area after respectively calculating by substituting the historical heat degree, the current heat degree, the historical correlation coefficient a and the change trend coefficient b based on a heat degree value calculation formula;
the heat display module M6 is configured to form a heat value list after sorting the regions according to the heat values from high to low, and change the corresponding regions on the map into preset color values according to the heat values, so as to form a heat value map.
Preferably, the data analysis module M2 further includes a region marking unit M21 and a skip prediction unit M22.
And an area marking unit M21, configured to mark an area with a history heat or a current heat of 0, and form a marked area.
And a skip prediction unit M22, configured to not fill the change trend prediction function model with data of the marked region, where the heat value of the marked region is set as the current heat.
The embodiment of the invention discloses a system for calculating and displaying a heat value of a network car-booking area, wherein a data acquisition module M1 acquires historical network car-booking order data and current network car-booking order data and transmits the historical network car-booking order data and the current network car-booking order data to a data analysis module M2. The data analysis module M2 analyzes the historical network car booking order data and the current network car booking order data, obtains the historical heat and the current heat corresponding to each area, and respectively transmits the historical heat and the current heat to the simulation calculation module M4 and the heat calculation module M5. The model building module M3 builds a trend-of-change prediction function model. The simulation calculation module M4 fills the historical heat and the current heat corresponding to each region into the change trend prediction function model in sequence to perform simulation calculation, and obtains the historical correlation coefficient a and the change trend coefficient b corresponding to each region respectively, and transmits the historical correlation coefficient a and the change trend coefficient b to the heat calculation module M5. The heat calculation module M5 performs comprehensive operation on the historical heat, the current heat, the historical correlation coefficient a, and the change trend function b of each region in sequence, and obtains the heat value of each region after calculation. The heat value display area M6 obtains the heat value of each area, and forms a corresponding heat value list and a heat value map for display.
In summary, the embodiment of the present invention discloses a system for calculating and displaying a net appointment area heat value, which can calculate a net appointment area heat value more accurately and perform a more complete display.
Example 3
The invention also discloses an electronic device, at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, and when the at least one processor executes the instructions, the following steps are specifically realized: obtaining historical network car booking order data and current network car booking order data; analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region; establishing a corresponding change trend prediction function model; sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively obtaining a historical correlation coefficient a and a change trend coefficient b of each region after analog calculation; respectively calculating and obtaining the heat value of each region by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula; and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
Example 4
The invention also discloses a storage medium, which stores a computer program, and when the computer program is executed by a processor, the following steps are concretely realized: obtaining historical network car booking order data and current network car booking order data; analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region; establishing a corresponding change trend prediction function model; sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively obtaining a historical correlation coefficient a and a change trend coefficient b of each region after analog calculation; respectively calculating and obtaining the heat value of each region by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula; and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTL (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), the internet (e.g., the internet), and peer-to-peer networks (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.
The storage medium may be included in the electronic device; or may exist separately without being assembled into the electronic device.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be noted that the storage media described above in this disclosure can be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (ELROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any storage medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FLGA), Application Specific Integrated Circuits (ASIC), application specific standard products (ASSL), system on a chip (SOC), complex programmable logic devices (CLLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (ELROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, so that any modification, equivalent change and modification made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A method for calculating and displaying a heat value of a network appointment area is characterized by comprising the following steps:
obtaining historical network car booking order data and current network car booking order data;
analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region;
establishing a corresponding change trend prediction function model;
sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively obtaining a historical correlation coefficient a and a change trend coefficient b of each region after analog calculation;
respectively calculating and obtaining the heat value of each region by substituting the historical heat, the current heat, the historical correlation coefficient a and the change trend coefficient b based on a heat value calculation formula;
and after the areas are sorted from high to low according to the heat value, a heat value list is formed, and the corresponding areas on the map are changed into preset color values according to the heat value, so that a heat value map is formed.
2. The method for calculating and displaying the heat value of the network appointment area according to claim 1, wherein the method comprises the following steps:
the heat value calculation formula is as follows: the heat value is historical heat and a historical correlation coefficient a + current heat and a change trend coefficient b.
3. The method for calculating and displaying the heat value of the network car-booking area according to claim 2, wherein after obtaining the historical heat and the current heat corresponding to each area, the method further comprises:
and marking the area with the historical heat or the current heat of 0 to form a marked area.
4. The method for calculating and displaying the heat value of the networked car appointment area according to claim 3, wherein after the marking of the area with the historical heat and the current heat of 0, the method further comprises:
and the data of the marked region is not filled in the change trend prediction function model, and the heat value of the marked region is set as the current heat.
5. The method for calculating and displaying the heat value of the network appointment area according to claim 1, wherein the method comprises the following steps:
the change trend prediction function model is established based on Newton's cooling law.
6. A system for calculating and displaying a net appointment area heat value is characterized by comprising:
the data acquisition module is used for acquiring historical network car booking order data and current network car booking order data;
the data analysis module is used for analyzing historical network car booking order data and current network car booking order data based on the regions respectively to obtain historical heat and current heat corresponding to each region;
the model establishing module is used for establishing a corresponding change trend prediction function model;
the simulation calculation module is used for sequentially filling the historical heat and the current heat of each region into the change trend prediction function model, and respectively acquiring a historical correlation coefficient a and a change trend coefficient b of each region after simulation calculation;
the heat degree calculation module is used for obtaining the heat degree value of each area after calculation by substituting the historical heat degree, the current heat degree, the historical correlation coefficient a and the change trend coefficient b based on a heat degree value calculation formula;
and the heat display module is used for sequencing the regions from high to low according to the heat values to form a heat value list, and changing the corresponding regions on the map into preset color values according to the heat values to form a heat value map.
7. The system for calculating and displaying net appointment area heat value according to claim 6, wherein:
the heat value calculation formula is as follows: the heat value is historical heat and a historical correlation coefficient a + current heat and a change trend coefficient b.
8. The system for calculating and displaying the heat value of the networked car appointment area according to claim 7, wherein the data analysis module further comprises an area marking unit, specifically:
and the area marking unit is used for marking the area with the historical heat or the current heat of 0 to form a marked area.
9. The system for calculating and displaying the heat value of the networked car-booking area according to claim 8, wherein the data analysis module further comprises a skip prediction unit, specifically:
and the skip prediction unit is used for enabling the data of the marked region not to fill in the change trend prediction function model, and the heat value of the marked region is set as the current heat.
10. The system for calculating and displaying net appointment area heat value according to claim 6, wherein:
the change trend prediction function model is established based on Newton's cooling law.
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