CN113129075A - Synchronous tracking data tracing system for online and offline sales of house property - Google Patents
Synchronous tracking data tracing system for online and offline sales of house property Download PDFInfo
- Publication number
- CN113129075A CN113129075A CN202110500324.1A CN202110500324A CN113129075A CN 113129075 A CN113129075 A CN 113129075A CN 202110500324 A CN202110500324 A CN 202110500324A CN 113129075 A CN113129075 A CN 113129075A
- Authority
- CN
- China
- Prior art keywords
- house
- offline
- local
- online
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- 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
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Abstract
The invention provides a real estate online and offline sales synchronous tracking data tracing system, which is based on the fact that a multi-offline real estate module and a local balancing module associated with the multi-offline real estate module are arranged, large data synchronous tracking tracing based on visitor data and transaction data is implemented through dynamic collection and update of local real estate offline data, regional real estate information quantitative evaluation is realized based on the bottom layer data interaction of an Internet of things platform and platform side control instruction feedback, real estate online and offline information synchronization based on offline real estate module granularity is realized, grading evaluation is simultaneously realized, the negative feedback characteristic and system self-consistency of the real estate online and offline sales synchronous tracking data tracing system are improved, and the real estate online and offline sales synchronous tracking data tracing system is better than the prior art in terms of online and offline sales data synchronization and automatic evaluation.
Description
Technical Field
The invention belongs to the field of Internet of things, and particularly relates to a synchronous tracking data tracing system for online and offline sales of real estate.
Background
Based on the purpose of internet of things interconnection, the collection and use of internet of things data gradually become a leading-edge hotspot research field. In the actual process of utilizing big data, offline utilization of online data and online feedback of offline data become one of the technical difficulties which need to be solved urgently.
Big data (big data), which refers to a data set that cannot be captured, managed and processed by a conventional software tool within a certain time range, is a massive, high-growth-rate and diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power and process optimization capability.
Data are characterized by four main aspects: number, variety, speed and accuracy (value) english: volume, Variety, Velocity, and Veracity, are referred to as "four big V of big data". Volume number. Quantity refers to the amount of business data that can be captured, stored and accessed. Only in the past two years, 90% of the data worldwide has been generated. Most organizations today have overwhelmed such huge amounts of data, have accumulated to the TB level and even the PB level, some of which require organization, storage and analysis. Variety of Variety. 80% of the data worldwide is semi-structured. Sensors, smart devices and social media are all generating such data, website logs, social media forums, audio, video, click streams, emails, files, sensor systems, etc. Traditional analytical solutions can work well with structured data, such as data in relational databases and patterns formed. The need to support storage and analysis of various data types is expanding today, requiring a comprehensive representation of various types of data, simply not capturing data managed by traditional relational databases, and easily enabling the drive for large data technologies for storage and data analysis. Velocity. Speed is the time required for real-time data analysis, "delay 2 minutes later! ". To gain a competitive advantage means that your competitor may identify trends or opportunities a few minutes or even a few seconds before you can. Another example is time sensitive processing, e.g. fraud in capturing information, because it will flow into your business at all times and therefore must be analyzed in real time. Time sensitive data have a short shelf life; some well-known organizations analyze them in near real-time. The Veracity authenticity value. Based on the data we create opportunities and gain value. Data is support for all decisions so if you are looking for decisions that can have a significant impact on your business you will want as much information as possible to support your decisions. However, separating individual amounts of data does not provide sufficient trust, and the authenticity and quality of the data is paramount, and therefore, establishing a decision in a big data solution is the most challenging and a solid basis for achieving a successful decision.
One of the typical applications of big data is big data systems, or so-called big data platforms. Large data platforms are an increasing amount of data generated by today's society for computing purposes. The platform takes storage, operation and display as the purpose. Developers are allowed to either run the written program in the cloud, use services provided in the cloud, or both.
The big data system is finally oriented to specific functional application, the technology is finally the functional and business service, the advancement is not necessarily pursued, and each enterprise should select a technical path according to the actual situation. Much like a traditional data warehouse, the data system is conceptually communicated with a data acquisition layer, a data processing layer, a data analysis layer, a data access layer and an application layer. Meanwhile, the architecture of the big data platform is different from that of the traditional data warehouse, namely the big data platform is in the same level, and in order to meet different scenes, more technical components can be adopted, so that the characteristic of all flowers can be reflected, and the difficulty is high. A data acquisition layer: including both traditional ETL offline collection, real-time collection, internet crawler parsing, and the like. A data processing layer: according to different requirements of data processing scenes, the data processing method can be divided into HADOOP, MPP, stream processing and the like. Data analysis layer: mainly comprises analysis engines such as data mining, machine learning, deep learning and the like. A data access layer: the method mainly realizes read-write separation, and separates the application-biased query capability and the like from the computing capability, and comprises application scenes such as real-time query, multi-dimensional query, conventional query and the like. A data application layer: different types of applications are divided according to the characteristics of enterprises, for example, for operators, accurate marketing, customer service complaints, base station analysis and the like exist internally, and location-based passenger flow and label-based advertisement applications exist externally. A data management layer: the method is vertical, mainly realizes the management and operation and maintenance of data, and spans multiple layers to realize uniform management.
The big data platform can realize simple and basic data synchronization or data tracking, but how to perform data dynamic quantification and evaluation based on synchronous updating on data based on specific functions or service types, thereby providing data feedback with higher value compared with the prior art for big data users, and becoming one of the technical obstacles to be overcome by the prior art.
The invention provides a house property online and offline sales synchronous tracking data tracing system which is better than the prior art, based on the actual arrangement of a plurality of offline house modules and local equalization modules related to the offline house modules, by dynamically collecting and updating data under a local house production line, implementing synchronous tracking and tracing of big data based on visitor data and transaction data, realizing regional-based real estate information quantitative evaluation based on data interaction of a platform bottom layer of the Internet of things and platform-side control instruction feedback, and real estate offline and online information synchronization based on offline house module granularity, and simultaneously realize grading evaluation, improve negative feedback characteristic and system self-consistency of a real estate online and offline sales synchronous tracking data tracing system, thereby achieving the excellent synchronization and automatic evaluation of the online and offline sales data of the real estate compared with the prior art.
Disclosure of Invention
The invention aims to provide a synchronous tracking data tracing system for online and offline sales of a house property, which is superior to the prior art.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a real estate online and offline sales synchronization tracking data tracing system, the system comprising:
the system comprises a plurality of offline house modules, a plurality of online house modules and a plurality of online house modules, wherein each offline house module comprises a local balancing module;
a local balancing module, configured to balance the house information of the local offline house module, wherein the local balancing module at least includes:
the system comprises a local offline house attribute information management submodule, a local offline house attribute information management submodule and a local offline house attribute information management submodule, wherein the local offline house attribute information management submodule is used for storing and managing local offline house attribute information, and the local offline house attribute information at least comprises local offline house ID, listing price data of local offline houses, position information of local offline houses and area information of local offline houses;
the local offline house access submodule is used for storing and managing local offline house access information, and the local offline house access information at least comprises visitor access time and visitor ID;
the local offline house transaction submodule is used for storing and managing local offline house transaction information, and the local offline house transaction information at least comprises transaction time, a transaction client ID and transaction amount;
the real estate online and offline sales synchronous tracking data tracing system further comprises:
the regional server is used for managing a plurality of offline house modules which are positioned in the same region, namely the same regional information;
the regional server is also used for receiving information stored and managed by a local offline house attribute information management submodule, a local offline house access submodule and a local offline house transaction submodule in a local balancing module contained in each offline house module of a plurality of offline house modules in a region, performing information interaction with a house property online feedback module and a house property online cloud service platform, and receiving system instructions of the house property online feedback module and the house property online cloud service platform;
the regional server is also used for performing evaluation information statistics, transaction information statistics and house information updating of the multi-off-line house-taking module in the region based on the on-line feedback module of the house property and the system instruction of the on-line cloud service platform of the house property;
the system comprises a real estate online feedback module, a real estate server online feedback module and a real estate online feedback module, wherein the real estate online feedback module is used for receiving the house information of a multi-offline house module in an area fed back by each area server and updating the evaluation information of the area servers based on a user instruction or an automatic control instruction dynamically generated by the real estate online feedback module;
and the property online cloud service platform is used for receiving the house information of the offline house modules in the areas fed back by each regional server and updating the transaction information of the regional servers based on a user instruction or an automatic control instruction dynamically generated by the property online cloud service platform.
Preferably, the local equalization module communicates in an RFID manner or a wireless local area network.
Preferably, the local equalization module performs communication in a 5G manner.
Preferably, the area server further includes an offline house comparison level module, and the offline house comparison level module is configured to perform house evaluation comparison on offline houses in each area and adjust the comparison level of the houses.
Preferably, the region server further includes a region quantization module for performing quantization of region evaluation for each region.
Preferably, the area server or the on-line feedback module of the property or the on-line cloud service platform of the property further sets an evaluation period for system standard quantification of the execution area, where the evaluation period may be an evaluation performed once on a preset X working day of the system, and X is a preset value of the system, or may be dynamically adjusted by a system administrator.
Preferably, the area server, the on-line feedback module of the property, or the on-line cloud service platform of the property further sets an evaluation period for performing the off-line house level comparison, where the evaluation period may be an evaluation performed once on a preset X working day of the system, and X is a preset value of the system, or may be dynamically adjusted by a system administrator.
Preferably, after each evaluation period is performed, the data of each offline house module, the area server, the online property cloud service platform, and the online property feedback module, except the ID data, are saved as historical data, and the data uploaded by each offline house module in the period is counted again.
Preferably, the modules of the house online and offline sales synchronization tracking data tracing system are communicated by a 5G communication link.
Preferably, the on-line and off-line sales synchronous tracking data tracing system of the house property stores historical data by using a database module.
The invention provides a house property online and offline sales synchronous tracking data tracing system which is better than the prior art, based on the actual arrangement of a plurality of offline house modules and local equalization modules related to the offline house modules, by dynamically collecting and updating data under a local house production line, implementing synchronous tracking and tracing of big data based on visitor data and transaction data, realizing regional-based real estate information quantitative evaluation based on data interaction of a platform bottom layer of the Internet of things and platform-side control instruction feedback, and real estate offline and online information synchronization based on offline house module granularity, and simultaneously realize grading evaluation, improve negative feedback characteristic and system self-consistency of a real estate online and offline sales synchronous tracking data tracing system, thereby achieving the excellent synchronization and automatic evaluation of the online and offline sales data of the real estate compared with the prior art.
Drawings
FIG. 1 is a diagram of a basic system structure of one area of the on-line and off-line sales synchronization tracking data tracing system for real estate shown in the present invention;
FIG. 2 is a schematic diagram of a preferred embodiment of the system structure of the online and offline sales synchronization tracking data tracing system for real estate;
FIG. 3 is a schematic diagram of a preferred embodiment of a system architecture of a regional server module of the online-offline sales synchronization tracking data tracking system for real estate according to the present invention;
FIG. 4 is a preferred embodiment of the local equalization module of the on-line and off-line sales synchronization tracking data tracing system for real estate according to the present invention;
fig. 5 is a schematic diagram of a preferred embodiment of the local room module shown in the present invention.
Detailed Description
Several embodiments and benefits of the on-line and off-line sales-based synchronous trace data tracing system and method for real estate claimed by the present invention are described in detail below to facilitate a more detailed review and decomposition of the present invention.
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used in embodiments of the invention to describe methods and corresponding apparatus, these keywords should not be limited to these terms. These terms are only used to distinguish keywords from each other. For example, a first understory house module or the like may also be referred to as a second understory house module, and similarly, a second understory house module or the like may also be referred to as a first understory house module without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
As shown in fig. 1-5 of the specification, one embodiment of the system for tracing the online and offline sales synchronization tracking data of a real estate claimed by the present invention and a specific embedded module thereof is disclosed, wherein the system comprises:
the system comprises a plurality of offline house modules, a plurality of online house modules and a plurality of online house modules, wherein each offline house module comprises a local balancing module;
a local balancing module, configured to balance the house information of the local offline house module, wherein the local balancing module at least includes:
the system comprises a local offline house attribute information management submodule, a local offline house attribute information management submodule and a local offline house attribute information management submodule, wherein the local offline house attribute information management submodule is used for storing and managing local offline house attribute information, and the local offline house attribute information at least comprises local offline house ID, listing price data of local offline houses, position information of local offline houses and area information of local offline houses;
as another stackable embodiment, the local offline house attribute information management submodule manages the house attribute information, and specifically includes: the local offline house attribute information management submodule acquires a local offline house ID from an online cloud service platform of a house, namely HouID (x), wherein x can be a default serial number or a code number of a local offline house module in an online offline sales synchronous tracking data tracing system of the house, and is preset by the system, and the default serial number or the code number of each local offline house module in the online offline sales synchronous tracking data tracing system of the house are different; and listing price data P (x) of the local offline house, wherein the listing price data of the local offline house can be acquired from the online cloud service platform of the house by the attribute information management submodule of the local offline house and is updated according to a specific period or frequency. As another stackable embodiment, the local offline house attribute information management sub-module further obtains the location information l (x) of the local offline house based on the local or system location module, and obtains the local offline house area information disid (x) from the local or system location module or from the system preset information, where x may be a default serial number or code number in the online and offline sales synchronization tracking data tracing system of the local offline house module, and is preset by the system. As another embodiment which can be overlapped, the ID of the transaction client and the ID of the visitor ID of the same client take the same value, and the transaction client ID and the visitor ID can be preset or input by the system after the client is obtained. The transaction client ID and the visitor ID can be specific character strings, and as an embodiment that can be overlapped, the transaction client ID and the visitor ID can be specific character strings formed by adding specific symbols and/or specific number sequences to name English capital character strings of clients.
The local offline house access submodule is used for storing and managing local offline house access information, and the local offline house access information at least comprises visitor access time and visitor ID;
as a stackable embodiment, the local offline house access submodule stores and manages local offline house access information, and specifically includes: the local offline house access submodule records visitor access time and visitor ID of each local offline house and local offline house ID, stores the visitor access time and the visitor ID in a local area, and reports the visitor access time and the visitor ID to the area server, and reports the visitor access time and the local offline house ID to the on-line house feedback module of the house property and the on-line cloud service platform of the house property through the area server.
The local offline house transaction submodule is used for storing and managing local offline house transaction information, and the local offline house transaction information at least comprises transaction time, a transaction client ID and transaction amount;
as a stackable embodiment, the local offline house transaction submodule stores and manages local offline house transaction information, and specifically includes: the local offline house transaction submodule records the transaction time, the transaction client ID, the transaction amount and the local offline house ID of the local offline house module, stores the transaction time, the transaction client ID, the transaction amount and the local offline house ID in a local area, and reports the transaction time, the transaction client ID, the transaction amount and the local offline house ID to the area server, and reports the transaction time, the transaction client ID, the transaction amount and the local offline house ID to the online house feedback module of the house property and. As a superimposable embodiment, the transaction client ID and the visitor ID of the same client have the same value.
The real estate online and offline sales synchronous tracking data tracing system further comprises:
the regional server is used for managing a plurality of offline house modules which are positioned in the same region, namely the same regional information;
the regional server is also used for receiving information stored and managed by a local offline house attribute information management submodule, a local offline house access submodule and a local offline house transaction submodule in a local balancing module contained in each offline house module of a plurality of offline house modules in a region, performing information interaction with a house property online feedback module and a house property online cloud service platform, and receiving system instructions of the house property online feedback module and the house property online cloud service platform;
the regional server is also used for performing evaluation information statistics, transaction information statistics and house information updating of the multi-off-line house-taking module in the region based on the on-line feedback module of the house property and the system instruction of the on-line cloud service platform of the house property;
the system comprises a real estate online feedback module, a real estate server online feedback module and a real estate online feedback module, wherein the real estate online feedback module is used for receiving the house information of a multi-offline house module in an area fed back by each area server and updating the evaluation information of the area servers based on a user instruction or an automatic control instruction dynamically generated by the real estate online feedback module;
and the property online cloud service platform is used for receiving the house information of the offline house modules in the areas fed back by each regional server and updating the transaction information of the regional servers based on a user instruction or an automatic control instruction dynamically generated by the property online cloud service platform.
As a stackable embodiment, the local equalization module communicates in an RFID manner or a wireless local area network.
As a stackable embodiment, the local equalization module communicates in a 5G manner.
As a stackable embodiment, the area server further includes an offline house comparison level module, and the offline house comparison level module is configured to perform house evaluation comparison on the offline houses in each area and adjust the comparison level of the houses.
As a stackable embodiment, the area server further includes an offline house comparison level module, where the offline house comparison level module is configured to perform house evaluation comparison on the offline houses in each area and adjust the comparison level of the houses, and specifically includes: when a specific offline house executes a transaction, the on-line house feedback module of the house property acquires corresponding local offline house transaction information from the corresponding offline house module and records the transaction condition, as a stackable embodiment, the on-line house feedback module of the house property also analyzes the transaction client ID and the transaction amount carried in the local offline house transaction information, compares local offline house access information reported by each offline house module, searches other offline house modules corresponding to visitor IDs with the same ID value as the transaction client ID in the corresponding local offline house transaction information acquired by the on-line house feedback module from the corresponding offline house module of the house property, and sends the other offline house modules to the corresponding local server to which the specific offline house executing the transaction belongs. Thereafter, as a superimposable embodiment, the local offline house transaction information is transmitted to other offline house modules corresponding to the guest ID having the same ID value as the transaction client ID and each other local server s (k) to which the other offline house modules belong by the local offline house belonging to the local offline house transaction server performing the transaction using the offline house comparison level module. Different values of k represent different zones, and k may be associated with zone servers/zones on a one-to-one basis. As a superimposable embodiment, each of the other local servers s (k), after receiving the local offline house transaction information, verifies the local offline house ID carried in the local offline house transaction information, determines whether it belongs to the local offline house ID managed by the local server, and performs offline house level comparison according to the determination result. As a stackable embodiment, an evaluation period may be set for performing the offline house level comparison, which may be preset by the system, such as performing sequential offline house level comparisons on X weekdays, such as 15 weekdays, or dynamically adjusted by the system administrator. As a stackable embodiment, after each evaluation cycle is performed, the data of each offline house module, the area server, the online cloud service platform of the property, and the online feedback module of the property are saved as historical data except for ID data, and the data uploaded by each offline house module in the cycle is counted again.
As a stackable embodiment, it is determined whether it belongs to the local offline house ID managed by the local area server, and according to the determination result, the offline house level comparison is performed, specifically: each other regional server s (k) uses an offline house comparison horizon module, where different values of k represent different regions, and k may be in one-to-one correspondence with regional servers/regions; analyzing the ID value of the carried transaction client ID from the received offline house transaction information, comparing the ID value with the visitor ID carried in the local offline house access information reported by each offline house module in the affiliated area, recording the offline house module ID with the same comparison result, and performing house evaluation comparison and adjusting the comparison level of the house based on the offline house module ID.
As a stackable embodiment, based on the offline house module ID, house evaluation comparison is performed and the comparison level of the house is adjusted, specifically: for example, for a specific AREA server S (6), the offline house module IDs with the same comparison result are recorded, and the offline house module IDs are AREA1-SEC105 and AREA1-SEC012, that is, in the AREA S (6), there are 2 offline house modules that have been visited by the transacting client but have not been handed over, and the IDs are AREA1-SEC105 and AREA1-SEC012, respectively, so that the offline house modules with the IDs of AREA1-SEC105 and AREA1-SEC012 in the AREA S (6) may be inferred to some extent not to match the satisfaction of the user, and therefore, the house HEVnew is set to HEVold-C, where HEVnew is the house evaluation value updated in the current evaluation, HEVold is the house evaluation value after the previous evaluation period, and C is a preset AREA quantitative evaluation scaling value, for example, 0.1. Also, the original value of HEVold can be set by the system, such as 10. For other offline house modules without the same comparison result, the house evaluation value may be set to remain unchanged.
As a superimposable embodiment, the region server further comprises a region quantization module for performing quantization of region evaluation for each region.
As a stackable embodiment, the region server further includes a region quantization module, where the region quantization module is configured to execute a region quantization module on each region and adjust a quantization level of the region, and specifically includes: when a specific offline house executes a transaction, the on-line house feedback module of the house property acquires corresponding local offline house transaction information from the corresponding offline house module and records the transaction condition, as a stackable embodiment, the on-line house feedback module of the house property also analyzes the transaction client ID and the transaction amount carried in the local offline house transaction information, compares local offline house access information reported by each offline house module, searches other offline house modules corresponding to visitor IDs with the same ID value as the transaction client ID in the corresponding local offline house transaction information acquired by the on-line house feedback module from the corresponding offline house module of the house property, and sends the other offline house modules to the corresponding local server to which the specific offline house executing the transaction belongs. Thereafter, as a superimposable embodiment, the local offline house transaction information is transmitted by the local offline house belonging area server performing the transaction to the other offline house modules corresponding to the guest IDs having the same ID value as the transaction client ID, and the respective other area servers s (k) to which the other offline house modules belong, using the area quantifying module. Different values of k represent different zones, and k may be associated with zone servers/zones on a one-to-one basis. As a superimposable embodiment, each of the other local servers s (k), after receiving the local offline house transaction information, verifies the local offline house ID carried in the local offline house transaction information, determines whether it belongs to the local offline house ID managed by the local server, and performs system standardization quantization of the area according to the determination result. As an example of the superimposable embodiment, an evaluation period may be set for system standard quantification of the execution region, and the evaluation period may be preset for the system, such as one evaluation performed in X working days, such as 30 working days, or dynamically adjusted by the system administrator. As a stackable embodiment, after each evaluation cycle is performed, the data of each offline house module, the area server, the online cloud service platform of the property, and the online feedback module of the property are saved as historical data except for ID data, and the data uploaded by each offline house module in the cycle is counted again.
As a stackable embodiment, it is determined whether it belongs to the local offline house ID managed by the local server, and according to the determination result, system standard quantization of the area is performed, specifically: each other regional server s (k) uses an offline house comparison horizon module, where different values of k represent different regions, and k may be in one-to-one correspondence with regional servers/regions; analyzing the received offline house transaction information to obtain the ID value of the carried transaction client ID, comparing the ID value with the visitor ID carried in the local offline house access information reported by each offline house module in the affiliated area, recording the times with the same comparison result, and carrying out regional quantitative evaluation based on the times Ti.
As a stackable embodiment, based on the number Ti, performing quantitative evaluation of the region may specifically be: for example, for a specific area server S (6), the same number of times of the comparison result is recorded, and the number of times Ti is 3, that is, in the area S (6), there are 3 target offline house modules that have been accessed by the transaction client but did not make a transaction, it can be inferred that the area S (6) does not match the satisfaction of the user to some extent, and the larger the number of times Ti is, the more target offline house modules that have been accessed by the client but did not make a transaction in the area are, the higher the degree of mismatch between the area S (6) and the satisfaction of the user is. Therefore, Evnew is the updated area quantization evaluation value of the current evaluation, Evold is the area quantization evaluation value after the last evaluation period, a is the preset area quantization evaluation scaling value, for example, 0.95, and Ti is the same number of times of comparison. Also, the original value of Evold can be set by the system, for example, 100%. For an area within which the comparison result is not the same number of times, the quantization evaluation value of the area may be set to remain unchanged.
As a stackable embodiment, the area server or the on-line feedback module of the property or the on-line cloud service platform of the property further quantitatively sets an evaluation period for the system standard of the execution area, where the evaluation period may be an evaluation performed once on a preset X working day of the system, and X is a preset value of the system, or dynamically adjusted by a system administrator.
As a stackable embodiment, the area server or the on-line feedback module of the property or the on-line cloud service platform of the property further sets an evaluation period for performing the off-line comparison of the house level, where the evaluation period may be an evaluation performed once on a system preset X working days, where X is a system preset value, or dynamically adjusted by a system administrator.
As a stackable embodiment, after each evaluation cycle is performed, the data of each offline house module, the area server, the online cloud service platform of the property, and the online feedback module of the property are saved as historical data except for ID data, and the data uploaded by each offline house module in the cycle is counted again.
As a stackable embodiment, the modules of the on-line and off-line sales synchronization tracking data tracing system of the house are communicated by adopting a 5G communication link.
As a stackable embodiment, the on-line and off-line sales synchronous tracking data tracing system of the house property uses a database module for historical data storage.
The invention provides a house property online and offline sales synchronous tracking data tracing system which is better than the prior art, based on the actual arrangement of a plurality of offline house modules and local equalization modules related to the offline house modules, by dynamically collecting and updating data under a local house production line, implementing synchronous tracking and tracing of big data based on visitor data and transaction data, realizing regional-based real estate information quantitative evaluation based on data interaction of a platform bottom layer of the Internet of things and platform-side control instruction feedback, and real estate offline and online information synchronization based on offline house module granularity, and simultaneously realize grading evaluation, improve negative feedback characteristic and system self-consistency of a real estate online and offline sales synchronous tracking data tracing system, thereby achieving the excellent synchronization and automatic evaluation of the online and offline sales data of the real estate compared with the prior art.
In all the above embodiments, in order to meet the requirements of some special data transmission and read/write functions, the above method and its corresponding devices may add devices, modules, devices, hardware, pin connections or memory and processor differences to expand the functions during the operation process.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described method, apparatus and unit may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the method steps into only one logical or functional division may be implemented in practice in another manner, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as individual steps of the method, apparatus separation parts may or may not be logically or physically separate, or may not be physical units, and may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, the method steps, the implementation thereof, and the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above-described method and apparatus may be implemented as an integrated unit in the form of a software functional unit, which may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an NVRAM, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
It should be noted that: the above embodiments are only used to explain and illustrate the technical solution of the present invention more clearly, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A real estate online and offline sales synchronization tracking data tracing system, the system comprising:
the system comprises a plurality of offline house modules, a plurality of online house modules and a plurality of online house modules, wherein each offline house module comprises a local balancing module;
a local balancing module, configured to balance the house information of the local offline house module, wherein the local balancing module at least includes:
the system comprises a local offline house attribute information management submodule, a local offline house attribute information management submodule and a local offline house attribute information management submodule, wherein the local offline house attribute information management submodule is used for storing and managing local offline house attribute information, and the local offline house attribute information at least comprises local offline house ID, listing price data of local offline houses, position information of local offline houses and area information of local offline houses;
the local offline house access submodule is used for storing and managing local offline house access information, and the local offline house access information at least comprises visitor access time and visitor ID;
the local offline house transaction submodule is used for storing and managing local offline house transaction information, and the local offline house transaction information at least comprises transaction time, a transaction client ID and transaction amount;
the real estate online and offline sales synchronous tracking data tracing system further comprises:
the regional server is used for managing a plurality of offline house modules which are positioned in the same region, namely the same regional information;
the regional server is also used for receiving information stored and managed by a local offline house attribute information management submodule, a local offline house access submodule and a local offline house transaction submodule in a local balancing module contained in each offline house module of a plurality of offline house modules in a region, performing information interaction with a house property online feedback module and a house property online cloud service platform, and receiving system instructions of the house property online feedback module and the house property online cloud service platform;
the regional server is also used for performing evaluation information statistics, transaction information statistics and house information updating of the multi-off-line house-taking module in the region based on the on-line feedback module of the house property and the system instruction of the on-line cloud service platform of the house property;
the system comprises a real estate online feedback module, a real estate server online feedback module and a real estate online feedback module, wherein the real estate online feedback module is used for receiving the house information of a multi-offline house module in an area fed back by each area server and updating the evaluation information of the area servers based on a user instruction or an automatic control instruction dynamically generated by the real estate online feedback module;
and the property online cloud service platform is used for receiving the house information of the offline house modules in the areas fed back by each regional server and updating the transaction information of the regional servers based on a user instruction or an automatic control instruction dynamically generated by the property online cloud service platform.
2. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein the local equalization module communicates in an RFID manner or a wireless local area network.
3. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein said local equalization module communicates in a 5G manner.
4. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein:
the regional server further comprises an offline house comparison level module, and the offline house comparison level module is used for performing house evaluation comparison on offline houses in each region and adjusting the comparison level of the houses.
5. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein:
the region server further includes a region quantization module for performing quantization of region evaluation for each region.
6. The real estate online and offline sales synchronization tracking data tracing system of claim 4, wherein: the regional server or the on-line feedback module of the property or the on-line cloud service platform of the property further quantitatively sets an evaluation period for the system standard of the execution region, wherein the evaluation period can be one-time evaluation executed for a system preset X working day, and X is a system preset value or is dynamically adjusted by a system administrator.
7. The real estate online and offline sales synchronization tracking data tracing system of claim 5, wherein: the regional server or the on-line feedback module of the house or the on-line cloud service platform of the house also sets an evaluation period for executing the off-line house level comparison, wherein the evaluation period can be used for carrying out one-time evaluation on a system preset X working day, and X is a system preset value or is dynamically adjusted by a system administrator.
8. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein: after each evaluation period is carried out, the data of each offline house module, the area server, the online house cloud service platform and the online house feedback module except the ID data are saved as historical data, and the data uploaded by each offline house module in the period are counted again.
9. The real estate online and offline sales synchronization tracking data tracing system of claim 8, wherein: and 5G communication links are adopted among all modules of the house online and offline sales synchronous tracking data tracing system for communication.
10. The real estate online and offline sales synchronization tracking data tracing system of claim 1, wherein: the on-line and off-line sales synchronous tracking data tracing system of the house property uses the database module to store historical data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110500324.1A CN113129075B (en) | 2021-05-08 | 2021-05-08 | Synchronous tracking data tracing system for online and offline sales of house property |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110500324.1A CN113129075B (en) | 2021-05-08 | 2021-05-08 | Synchronous tracking data tracing system for online and offline sales of house property |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113129075A true CN113129075A (en) | 2021-07-16 |
| CN113129075B CN113129075B (en) | 2022-02-22 |
Family
ID=76781427
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110500324.1A Active CN113129075B (en) | 2021-05-08 | 2021-05-08 | Synchronous tracking data tracing system for online and offline sales of house property |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113129075B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110289009A1 (en) * | 2010-05-21 | 2011-11-24 | Rankin Jr Claiborne R | Apparatuses, methods and systems for an activity tracking and property transaction facilitating hub |
| CN108572988A (en) * | 2017-03-13 | 2018-09-25 | 阿里巴巴集团控股有限公司 | A kind of house property assessment data creation method and device |
| CN108960467A (en) * | 2018-07-09 | 2018-12-07 | 重庆锐云科技有限公司 | Realty information management and data analysis system |
| CN111652698A (en) * | 2020-07-17 | 2020-09-11 | 江苏荣泽信息科技股份有限公司 | Intelligent house renting system based on block chain |
| CN112102024A (en) * | 2019-06-18 | 2020-12-18 | 明日基金知识产权控股有限公司 | System and method for providing a digital reality experience and decentralized trading of real estate items |
| CN112418936A (en) * | 2020-11-23 | 2021-02-26 | 中国科学技术大学先进技术研究院 | Intelligent house price evaluation method and device based on multi-level evaluation model |
-
2021
- 2021-05-08 CN CN202110500324.1A patent/CN113129075B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110289009A1 (en) * | 2010-05-21 | 2011-11-24 | Rankin Jr Claiborne R | Apparatuses, methods and systems for an activity tracking and property transaction facilitating hub |
| CN108572988A (en) * | 2017-03-13 | 2018-09-25 | 阿里巴巴集团控股有限公司 | A kind of house property assessment data creation method and device |
| CN108960467A (en) * | 2018-07-09 | 2018-12-07 | 重庆锐云科技有限公司 | Realty information management and data analysis system |
| CN112102024A (en) * | 2019-06-18 | 2020-12-18 | 明日基金知识产权控股有限公司 | System and method for providing a digital reality experience and decentralized trading of real estate items |
| CN111652698A (en) * | 2020-07-17 | 2020-09-11 | 江苏荣泽信息科技股份有限公司 | Intelligent house renting system based on block chain |
| CN112418936A (en) * | 2020-11-23 | 2021-02-26 | 中国科学技术大学先进技术研究院 | Intelligent house price evaluation method and device based on multi-level evaluation model |
Non-Patent Citations (2)
| Title |
|---|
| TZANG, SW 等: ""Commercial Real Estate Evaluation: The Real Options Approach"", 《ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING》 * |
| 宋祖杰: ""基于支持向量回归的二手房批量评估模型应用研究"", 《中国优秀博硕士学位论文全文数据库(硕士)经济与管理科学辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113129075B (en) | 2022-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11336681B2 (en) | Malware data clustering | |
| US20140143012A1 (en) | Method and system for predictive marketing campigns based on users online behavior and profile | |
| US8700551B2 (en) | Systems and methods for identifying provider noncustomers as likely acquisition targets | |
| US8966036B1 (en) | Method and system for website user account management based on event transition matrixes | |
| JP5525673B2 (en) | Enterprise web mining system and method | |
| US9256692B2 (en) | Clickstreams and website classification | |
| KR20160121806A (en) | Determining a temporary transaction limit | |
| US20170357987A1 (en) | Online platform for predicting consumer interest level | |
| CA3062865A1 (en) | Distributed node cluster for establishing a digital touchpoint across multiple devices on a digital communications network | |
| US10733244B2 (en) | Data retrieval system | |
| US10692120B2 (en) | System, method, and computer-readable storage medium for determining a trust circle through machine learning | |
| CN113129075B (en) | Synchronous tracking data tracing system for online and offline sales of house property | |
| US11061937B2 (en) | Method and system for classifying user identifiers into similar segments | |
| US20170004402A1 (en) | Predictive recommendation engine | |
| WO2011019731A2 (en) | Systems and methods for gererating leads in a network by predicting properties of external nodes | |
| CN114820085B (en) | User screening method, related device and storage medium | |
| US20240146761A1 (en) | Malware data clustering | |
| US11010442B2 (en) | Systems and methods for intelligence delivery | |
| Dixit et al. | Web server access log pattern analysis using GWO-based clustering | |
| Myalapalli et al. | An Appraisal to Overhaul Big Data Processing in Cloud Computing Environments | |
| Fejzaj | Portfolio optimization modeling through real time reports and analytics. | |
| CN117235343A (en) | Short video data processing system and processing method based on image processing technology monitoring | |
| CN117573966A (en) | Service recommendation system | |
| CN117714546A (en) | Multi-cloud environment service grid application method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |