CN113505137A - Real estate space graph updating method - Google Patents
Real estate space graph updating method Download PDFInfo
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- CN113505137A CN113505137A CN202110851003.6A CN202110851003A CN113505137A CN 113505137 A CN113505137 A CN 113505137A CN 202110851003 A CN202110851003 A CN 202110851003A CN 113505137 A CN113505137 A CN 113505137A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G—PHYSICS
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- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1744—Redundancy elimination performed by the file system using compression, e.g. sparse files
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention provides a real estate space graph updating method, which comprises a data acquisition module, a data uploading module and a data updating module, wherein the data output end of the data acquisition module is connected with the data input end of the data uploading module; the data acquisition module is used for acquiring an upload packet to be uploaded to the cloud platform; the data uploading module is used for uploading the uploading package to be uploaded to the cloud platform, which is acquired by the data acquisition module; and the data updating module is used for the cloud platform to update the real estate graph to be updated according to the received uploading package. The invention can update the data of the real estate graph and master the real-time data information.
Description
Technical Field
The invention relates to the technical field of graphs, in particular to a real estate space graph updating method.
Background
The real estate registration system is a business system for providing informatization support for related business of real estate registration, and the main functions of the real estate registration system comprise electronic approval processes of business acceptance, approval, book entry and the like of land house registration. The real estate surveying and mapping result management subsystem realizes the management of the related surveying and mapping results of the registered floor plan by an informatization means, and achieves the effect of taking land parcel and house as a registration main line and assisting the floor plan to visually display the collaborative transaction among all departments. The method is beneficial to improving the data accuracy, shortening the service handling period and providing convenience for examination and approval of the service, and is beneficial to assisting relevant departments in providing a data source for decision support, assisting in information sharing and improving the handling efficiency.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides a real estate space graph updating method.
In order to achieve the above object, the present invention provides a real estate space graph updating system, which includes a data acquisition module, a data uploading module and a data updating module, wherein a data output end of the data acquisition module is connected to a data input end of the data uploading module, and a data output end of the data uploading module is connected to a data input end of the data updating module;
the data acquisition module is used for acquiring an upload packet to be uploaded to the cloud platform;
the data uploading module is used for uploading the uploading package to be uploaded to the cloud platform, which is acquired by the data acquisition module;
and the data updating module is used for the cloud platform to update the real estate graph to be updated according to the received uploading package.
In a preferred embodiment of the present invention, the data update module comprises the following steps:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
In a preferred embodiment of the present invention, the following constraints are included in step S32:
wherein the content of the first and second substances,
representing a kth coordinate point in the lambda-th three-dimensional coordinate set;
if yes, retaining the three-dimensional coordinates
If not, the three-dimensional coordinates are discarded
In a preferred embodiment of the present invention, the data acquisition module comprises the following steps:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, the files of the data packet in the step S11 are screened out according to the files to be screened out obtained in the step S13, and an uploading packet is obtained.
In a preferred embodiment of the present invention, in step S13, the method for determining whether the file in the decompressed packet in step S12 is consistent with the real estate graphic information data acquired in step S11 to obtain the file to be filtered out includes the following steps:
s131, numbering the files in the real estate graphic information data acquired in the step S11, wherein the number is J1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm;
Wξrepresenting a comparison value corresponding to the xi file;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; step S137 is executed;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if ν < i, return to step S135.
In a preferred embodiment of the present invention, in step S11, the compression method adopted to obtain the data packet is one of 7z, zip and rar;
in step S31, the compression method adopted by the cloud platform decompression package is one of 7z, zip, and rar.
The invention also discloses a real estate space graph updating method, which comprises the following steps:
s1, acquiring an upload package to be uploaded to the cloud platform;
s2, uploading the uploading packet to be uploaded to the cloud platform, which is acquired in the step S1;
and S3, the cloud platform updates the real estate graph to be updated according to the received uploading package.
In a preferred embodiment of the present invention, step S3 includes the following steps:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
In a preferred embodiment of the present invention, the following constraints are included in step S32:
wherein (X)0,Y0,Z0) Representing a three-dimensional first index point;
(x0,y0,z0) Representing a three-dimensional second index point;
if yes, retaining the three-dimensional coordinates
If not, the three-dimensional coordinates are discarded
In a preferred embodiment of the present invention, step S1 includes the following steps:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, screening the files of the data packet in the step S11 according to the files to be screened obtained in the step S13 to obtain an uploading packet;
or/and in step S13, determining whether the file in the decompressed packet in step S12 is consistent with the real estate graphic information data acquired in step S11, and the method for obtaining the file to be filtered out includes the following steps:
s131, numbering the files in the real estate graphic information data acquired in the step S11, wherein the number is J1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm;
Wξrepresenting a comparison value corresponding to the xi file;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; step S137 is executed;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if v < i, returning to step S135;
or/and in step S11, the compression mode adopted by the obtained data packet is one of 7z, zip and rar;
in step S31, the compression method adopted by the obtained cloud platform decompression package is one of 7z, zip, and rar;
or/and before the step S1, the method further includes the step S0 of logging in the system, and after the system logging is successful, the method performs the step S1.
In conclusion, by adopting the technical scheme, the real-estate graph data updating method and the real-estate graph data updating system can update data of the real-estate graph and master real-time data information.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention provides a real estate space graph updating system which comprises a data acquisition module, a data uploading module and a data updating module, wherein the data output end of the data acquisition module is connected with the data input end of the data uploading module;
the data acquisition module is used for acquiring an upload packet to be uploaded to the cloud platform;
the data uploading module is used for uploading the uploading package to be uploaded to the cloud platform, which is acquired by the data acquisition module;
and the data updating module is used for the cloud platform to update the real estate graph to be updated according to the received uploading package. The real estate graphic to be updated is not limited to a building model, a house model, or a vegetation model. The invention can update the data of the real estate graph, and the updated model can be more intuitively understood through amplification, reduction, view angle conversion and the like.
In a preferred embodiment of the present invention, the data update module comprises the following steps:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated; sequentially connecting the imported three-dimensional coordinates according to the label sequence to form a closed graph;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
In a preferred embodiment of the present invention, the following constraints are included in step S32:
wherein (X)0,Y0,Z0) Representing a three-dimensional first index point;
(x0,y0,z0) Representing a three-dimensional second index point;
if yes, retaining the three-dimensional coordinates
If not, the three-dimensional coordinates are discarded
In a preferred embodiment of the present invention, the data acquisition module comprises the following steps:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, the files of the data packet in the step S11 are screened out according to the files to be screened out obtained in the step S13, and an uploading packet is obtained.
In a preferred embodiment of the present invention, in step S13, the method for determining whether the file in the decompressed packet in step S12 is consistent with the real estate graphic information data acquired in step S11 to obtain the file to be filtered out includes the following steps:
s131, for the acquisition in step S11The files in the real estate graphic information data are numbered J1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm;
Wξrepresenting a comparison value corresponding to the xi file;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; then execute the stepStep S137;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if ν < i, return to step S135.
In a preferred embodiment of the present invention, in step S11, the compression method adopted to obtain the data packet is one of 7z, zip and rar;
in step S31, the compression method adopted by the cloud platform decompression package is one of 7z, zip, and rar.
The invention also discloses a real estate space graph updating method, as shown in fig. 1, comprising the following steps:
s1, acquiring an upload package to be uploaded to the cloud platform;
s2, uploading the uploading packet to be uploaded to the cloud platform, which is acquired in the step S1;
and S3, the cloud platform updates the real estate graph to be updated according to the received uploading package.
In a preferred embodiment of the present invention, step S3 includes the following steps:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
In a preferred embodiment of the present invention, the following constraints are included in step S32 or S34:
wherein (X)0,Y0,Z0) Representing a three-dimensional first index point;
(x0,y0,z0) Representing a three-dimensional second index point;
if yes, retaining the three-dimensional coordinates
If not, the three-dimensional coordinates are discarded
In a preferred embodiment of the present invention, step S1 includes the following steps:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, screening the files of the data packet in the step S11 according to the files to be screened obtained in the step S13 to obtain an uploading packet;
or/and in step S13, determining whether the file in the decompressed packet in step S12 is consistent with the real estate graphic information data acquired in step S11, and the method for obtaining the file to be filtered out includes the following steps:
s131, numbering the files in the real estate graphic information data acquired in the step S11, wherein the number is J1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm; the sha1 function or the MD5 function is adopted.
WξRepresenting a comparison value corresponding to the xi file;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; step S137 is executed;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if v < i, returning to step S135; the method and the device prevent other types of files from being generated during compression, screen out other types of files generated in the data packet, enable the files in the data packet to be completely consistent with the files before compression, and reduce waste of storage space of the cloud platform.
Or/and in step S11, the compression mode adopted by the obtained data packet is one of 7z, zip and rar;
in step S31, the compression method adopted by the obtained cloud platform decompression package is one of 7z, zip, and rar;
or/and before the step S1, the method further includes the step S0 of logging in the system, and after the system logging is successful, the method performs the step S1. The step S0 includes the following steps:
s01, judging whether the system login interface command is triggered:
if the system login interface command is triggered, displaying a system login interface of the system, wherein the system login interface comprises an account number input box, a password input box and a verification code input box;
if the system login interface command is not triggered, continuing to wait, and returning to the step S01;
s02, judging whether receiving the trigger command of obtaining the verification code:
if receiving a trigger command for acquiring the verification code, executing the next step;
if the verification code acquisition triggering command is not received, continuing to wait, and returning to the step S02;
s03, extracting the account number input in the account number input box and the password input in the password input box; carrying out security processing on the extracted account number or/and password to obtain a sending account number or/and a sending password thereof; the calculation method for obtaining the sending account number comprises the following steps:
FSZH＝U{zh,Q}，
wherein FSZH represents a sending account;
zh represents an input account number extracted from the account number input box;
q represents an encryption serial number sent by the cloud platform;
u {, } represents a binary group security processing method;
FSmm＝U{MM,Q}，
wherein FSmm represents a transmission password;
MM represents an input password extracted from within the password input box;
U{X,Y}＝Hash(XY)，
wherein X represents a first parameter of the operation;
y represents a second parameter of the operation;
XY represents a combined parameter of the first parameter and the second parameter;
hash () represents an encryption algorithm, using the sha1 function. That is, U { zh, Q } ═ hash (zhq), U { MM, Q } ═ hash (mmq), and U { id, Q } ═ hash (idq), for example, admin is the account number input in the account number input box, 123456 is the password input in the password input box, and calculation is performed to calculate the password
And
the sending account number is 7a89c8dfdd505885fabd1ac6a7c6184b9d222ae6, and the sending password is 142b8a632322a6f5de0d01abce805c7af66a129 a.
And S04, the acquired sending account and the sending password are sent to the cloud platform for verification, a verification code is generated after the verification is successful, and login is successful by using the verification code system. And the login safety is realized.
In a preferred embodiment of the present invention, in step S03, if the account and the password are not input into the account input box, the unique ID of the login end is obtained, where the unique ID of the login end includes one of a processor serial number, a memory serial number, and a motherboard serial number; the obtained unique ID is subjected to security processing to obtain a sending code of the unique ID, and the calculation method for obtaining the sending code comprises the following steps:
FSID＝U{id,Q}，
wherein FSID represents a transmission code;
ID represents the unique ID obtained;
in step S04, the method of verification includes the steps of:
s041, the cloud platform determines whether the received sending account exists in the cloud platform account database:
if the sending account received by the cloud platform exists in the cloud platform account database, the sending account received by the cloud platform is the cloud platform account, a cloud platform password corresponding to the cloud platform account is extracted, and the next step is executed;
if the sending account received by the cloud platform does not exist in the cloud platform account database, prompting at a login end, wherein the prompting indicates that the input account does not exist;
s042, the cloud platform determines whether the sending password received by the cloud platform is the same as the cloud platform password in step S041:
if the sending password received by the cloud platform is the same as the cloud platform password in the step S041, the verification is passed, and a verification code is generated and sent to a contact mode bound by the cloud platform account, wherein the contact mode comprises one of a mobile phone number, a mailbox, a WeChat and a QQ;
if the sending password received by the cloud platform is not the same as the cloud platform password in the step S041, prompting at the login end, wherein the prompting is that the input password is wrong;
in step S04, the method of verification includes the steps of:
s041, the cloud platform judges whether the received sending code exists in a cloud platform sending code database:
if the sending code received by the cloud platform exists in the cloud platform sending code database, executing the next step;
if the sending code received by the cloud platform does not exist in the cloud platform sending code database, prompting at the login end, wherein the prompt indicates that the login end is not locked as a safe login device at the login end;
s042, when the verification is passed, a cloud platform account in the cloud platform account database is obtained by mapping the sending codes in the cloud platform sending code database; extracting a corresponding cloud platform password according to the cloud platform account; and generating a verification code according to the cloud platform account and the cloud platform password, and sending the verification code to a contact mode bound by the cloud platform account, wherein the contact mode comprises one of a mobile phone number, a mailbox, a WeChat and a QQ.
In a preferred embodiment of the present invention, in step S042, the verification code generation method includes the steps of:
s0421, executing the following operations on the cloud platform account and the cloud platform password in step S042:
φ⊙σ＝Vc，
where Vc represents a platform result value;
phi represents a cloud platform account number;
sigma represents a cloud platform password;
an exclusive OR operation or an exclusive OR operation;
obtaining a platform result value Vc through the operations;
s0422, expressing the obtained platform result value Vc as a sexagesimal system to obtain a sexagesimal system result value; wherein capital letters A-Z respectively and sequentially represent values of 10-35, and lowercase letters a-Z respectively and sequentially represent values of 36-61;
s0423, the first six bits or the last six bits of the sixty-binary result value are taken as the verification code.
In a preferred embodiment of the present invention, the method further includes step S040, where the cloud platform account and the cloud platform password corresponding to the cloud platform account stored in the cloud platform account database and the unique ID stored in the cloud platform sending code database are updated in the following manner:
judging whether the current moment is within a preset updating moment range:
if the current time is within the preset updating time range, updating the cloud platform account number stored in the cloud platform account number database, the cloud platform password corresponding to the cloud platform account number and the unique ID stored in the cloud platform sending code database;
the method for updating the cloud platform account stored in the cloud platform account database comprises the following steps:
YPTZH＝U{zh0,Qt}，
the YPTZH represents an updated cloud platform account;
zh0the method comprises the steps that the cloud platform generates an account given to a user during registration;
Qtan encrypted serial number representing the current time;
when the updated cloud platform account is subjected to overlay registration, the cloud platform generates a cloud platform account before update corresponding to the account given to the user, so that the cloud platform account is updated;
the method for updating the cloud platform password corresponding to the cloud platform account stored in the cloud platform account database comprises the following steps:
YPTmm＝U{MM0,Qt}，
wherein YPTmm represents an updated cloud platform password;
MM0the method comprises the steps that a cloud platform generates a correct password corresponding to an account given to a user during registration;
the updated cloud platform password is covered with the cloud platform password before updating corresponding to the correct password, so that the cloud platform password is updated;
the method for updating the cloud platform sending code stored in the cloud platform sending code database comprises the following steps:
YPTID＝U{id0,Qt}，
the YPTID represents an updated cloud platform sending code;
id0a unique ID representing a client that is obtained without account and password login;
the updated cloud platform sending code is covered with the cloud platform sending code before updating corresponding to the unique ID of the client, which is obtained without account number and password login, so that the cloud platform sending code is updated;
and if the current time is not within the preset updating time range, updating the cloud platform account number stored in the cloud platform account number database, the cloud platform password corresponding to the cloud platform account number and the unique ID stored in the cloud platform sending code database.
In a preferred embodiment of the present invention, in step S04, the method further includes the following steps:
s0401, determining whether it receives the login trigger signal:
if receiving a login trigger signal, executing the next step;
if the login trigger signal is not received, continuing to wait, and returning to the step S0401;
s0402, the client compares whether the verification code input by the verification code input box is the same as the verification code generated by the client:
if the verification code input by the verification code input box extracted by the client is the same as the verification code generated by the client, the method for generating the verification code by the client comprises the following steps:
s04021, the following is performed for the transmission account and the transmission password in step S03:
FSZH⊙FSmm＝KF，
wherein KF represents a client result value;
FSZH represents a sending account number;
FSmm represents the send password;
an exclusive OR operation or an exclusive OR operation;
obtaining a client result value KF through the above operations;
s04022, representing the obtained client result value KF as a sexagesimal system to obtain a sexagesimal system result value; wherein capital letters A-Z respectively and sequentially represent values of 10-35, and lowercase letters a-Z respectively and sequentially represent values of 36-61;
s04023, taking the first six bits or the last six bits of the sexagesimal system result value as the verification code generated by the client;
the client logs in the cloud platform, and the system logs in successfully;
if the verification code input by the verification code input box extracted by the client is different from the verification code generated by the client, the verification fails, and the system login fails.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A real estate space graph updating system is characterized by comprising a data acquisition module, a data uploading module and a data updating module, wherein the data output end of the data acquisition module is connected with the data input end of the data uploading module, and the data output end of the data uploading module is connected with the data input end of the data updating module;
the data acquisition module is used for acquiring an upload packet to be uploaded to the cloud platform;
the data uploading module is used for uploading the uploading package to be uploaded to the cloud platform, which is acquired by the data acquisition module;
and the data updating module is used for the cloud platform to update the real estate graph to be updated according to the received uploading package.
2. The real estate space graphic update system of claim 1 including the steps in a data update module of:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
3. The real estate space graphic updating system of claim 2 including the following constraints in step S32:
wherein, if true, three-dimensional coordinates are retained
If not, the three-dimensional coordinates are discarded
4. The real estate space graphic update system of claim 1 including the steps in the data acquisition module of:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, the files of the data packet in the step S11 are screened out according to the files to be screened out obtained in the step S13, and an uploading packet is obtained.
5. The real estate space graphic updating system of claim 4 wherein in step S13, determining whether the files in the decompressed packets in step S12 are consistent with the real estate graphic information data obtained in step S11, the method for obtaining the files to be filtered out includes the following steps:
s131, numbering the files in the real estate graphic information data acquired in the step S11, wherein the numbering is performed respectivelyJ1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm;
Wξrepresenting a comparison value corresponding to the xi file;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; step S137 is executed;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if ν < i, return to step S135.
6. The real estate space graphic updating system of claim 5 wherein in step S11, the compression method used to get the data package is one of 7z, zip and rar;
in step S31, the compression method adopted by the cloud platform decompression package is one of 7z, zip, and rar.
7. A real estate space graph updating method is characterized by comprising the following steps:
s1, acquiring an upload package to be uploaded to the cloud platform;
s2, uploading the uploading packet to be uploaded to the cloud platform, which is acquired in the step S1;
and S3, the cloud platform updates the real estate graph to be updated according to the received uploading package.
8. The real estate space graphic updating method according to claim 7 wherein the step S3 includes the steps of:
s31, decompressing the received upload packet by the cloud platform to obtain a cloud platform decompressed packet;
s32, analyzing j files in the cloud platform decompression package to obtain j three-dimensional coordinate sets which are respectively a1 st three-dimensional coordinate set, a 2 nd three-dimensional coordinate set, a 3 rd three-dimensional coordinate set, a … … and a j th three-dimensional coordinate set, wherein all three-dimensional coordinates in each three-dimensional coordinate set form a closed graph; let λ be 1;
s33, importing the three-dimensional coordinates reserved in the lambda-th three-dimensional coordinate set into the real estate graph to be updated;
s34, λ ═ λ +1, and the magnitude relationship between λ and j is determined:
if the lambda is less than or equal to j, returning to the step S33;
if λ > j, the graph update is complete.
9. The real estate space graphic updating method according to claim 8 wherein the following constraints are included in step S32:
wherein (X)0,Y0,Z0) Representing a three-dimensional first index point;
(x0,y0,z0) Representing a three-dimensional second index point;
if yes, retaining the three-dimensional coordinates
If not, the three-dimensional coordinates are discarded
10. The real estate space graphic updating method according to claim 7 wherein the step S1 includes the steps of:
s11, acquiring the real estate graphic information data for data compression to obtain a data packet;
s12, decompressing the data packet obtained in the step S11 to obtain a decompressed packet;
s13, judging whether the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11:
if the file in the decompressed packet in the step S12 is consistent with the real estate graphic information data acquired in the step S11, the data packet obtained in the step S11 is an upload packet;
if the file in the decompressed packet in the step S12 is not consistent with the real estate graphic information data acquired in the step S11, acquiring a file to be screened;
s14, screening the files of the data packet in the step S11 according to the files to be screened obtained in the step S13 to obtain an uploading packet;
or/and in step S13, determining whether the file in the decompressed packet in step S12 is consistent with the real estate graphic information data acquired in step S11, and the method for obtaining the file to be filtered out includes the following steps:
s131, numbering the files in the real estate graphic information data acquired in the step S11, wherein the number is J1、J2、J3、……、JjWherein, J1Denotes file 1, J2Denotes file 2, J3Denotes file 3, JjJ represents a jth file, and j represents the total number of files in the acquired real estate graphic information data; let ξ be 1;
s132, for JξThe following operations are performed:
Wξ＝Hash(Jξ)，
wherein, JξRepresenting a ξ -file;
hash () represents the alignment algorithm;
Wξindicating the xi characterComparing the corresponding values of the pieces;
s133, ξ +1, and the magnitude relationship between ξ and j is determined as follows:
if ξ > j, all file comparison values in the acquired real estate graphic information data form a comparison value set Arr, and a step S134 is executed;
if xi is less than or equal to j, returning to the step S132;
s134, numbering the files in the decompressed packets in the step S12, wherein the numbers are I1、I2、I3、……、IiWherein, I1Denotes No. 1 decompressed File, I2Representing a 2 nd decompressed file, I3Denotes a 3 rd decompressed file, IiRepresenting the ith decompressed file, i representing the total number of files in the decompressed packet; let ν be 1 and τ be 0;
s135, to IνThe following operations are performed:
Eν＝Hash(Iν)，
wherein, IνRepresenting a ν decompressed file;
hash () represents the alignment algorithm;
Eνexpressing a decompression comparison value corresponding to the ν decompression file;
s136, determining its EνWhether it belongs to Arr:
if EνE belongs to Arr, then tau is tau + 1; step S137 is executed;
if it is
Then the ν -th decompressed file is taken as a file to be screened out, and step S138 is executed;
s137, judging the magnitude relation between tau and j:
if τ is equal to j, the decompressed file is left as the file to be sifted out, and step S14 is executed;
if τ < j, go to step S138;
and S138, v is equal to v +1, and the size relationship between v and i is judged:
if ν ═ i, the residual decompressed file is used as a file to be screened out, and step S14 is executed;
if v < i, returning to step S135;
or/and in step S11, the compression mode adopted by the obtained data packet is one of 7z, zip and rar;
in step S31, the compression method adopted by the obtained cloud platform decompression package is one of 7z, zip, and rar;
or/and before the step S1, the method further includes the step S0 of logging in the system, and after the system logging is successful, the method performs the step S1.
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