CN115880041B - Housing management system based on big data analysis - Google Patents
Housing management system based on big data analysis Download PDFInfo
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- CN115880041B CN115880041B CN202310106690.8A CN202310106690A CN115880041B CN 115880041 B CN115880041 B CN 115880041B CN 202310106690 A CN202310106690 A CN 202310106690A CN 115880041 B CN115880041 B CN 115880041B
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Abstract
The invention relates to a housing management system based on big data analysis, which belongs to the technical field of house BI data analysis, and aims to orderly cooperate and start a housing identity on-line identification unit, a housing on-line reservation unit, a housing end on-line processing unit, a housing daily information acquisition unit, a housing daily information inspection unit and a BI data analysis platform, so that invalid operation in a large number of data operation links can be avoided, and the effective calculation force of a hardware data processor is ensured. The resident daily information acquisition unit and the resident daily information checking unit are matched, so that target users who do not operate in compliance can be effectively checked, and the leak rate of the guaranteed rented houses is reduced.
Description
Technical Field
The invention belongs to the technical field of house property BI data analysis, and particularly relates to a house management system based on big data analysis.
Background
In recent years, along with the innovation and development of digital technologies, particularly the wide application of cloud computing, big data, industrial internet, artificial intelligence and 5G communication technologies, the speed of penetration and integration of new generation digital technologies into various industries is accelerated, new technology upgrading is carried out, and the trend of business to digital transformation is more and more obvious. Compared with the prior five-year planning, the digital construction task has the advantages that the strategic positions are improved unprecedented, and the construction content is more specific.
2021, 4 and 30 suggest that the house is used for holding and is not used for stir-frying, the supply of the guaranteed rented houses and shared property houses is increased, and the nominal stir-frying of the houses in the district is prevented.
However, in the present stage, more machine-throwing actions still exist in the house for the guaranteed lease, and after the resident who has the qualification of the house for the guaranteed lease takes the house for the guaranteed lease, the resident himself does not check in, but rents the house for other people at high price, so that improper benefits are obtained, and the aim of the house for the guaranteed lease is reversed.
Therefore, a housing management system based on big data analysis needs to be designed at present to solve the above problems.
Disclosure of Invention
The invention aims to provide a house management system based on big data analysis, which is used for solving the technical problems in the prior art, analyzing and monitoring the speculative behaviors of the house in the prior art, and avoiding the improper benefits of partial households from the house in the prior art.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the housing management system based on big data analysis comprises a housing identity online identification unit, a housing entrance online reservation unit, a housing end entrance handling unit, a housing daily information acquisition unit, a housing daily information inspection unit, a BI data analysis platform and a main control unit; the main control unit is respectively connected with the resident identity online identification unit, the resident online reservation unit, the resident terminal check-in handling unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform;
the resident identity online identification unit is used for online identifying the identity information of the resident and judging whether the resident accords with the handling qualification of the house rented by the guarantee;
the resident online reservation unit is used for reserving and handling the guaranteed renting of the resident online and judging whether reservation is successful;
the housing end check-in unit is used for checking in at the housing end, identifying the identity information of the housing on site and judging whether the housing check-in is successful or not;
the resident daily information acquisition unit is used for acquiring the identity information of the resident before the resident enters the guaranteed rental housing and the daily information of the resident after the resident enters the guaranteed rental housing;
the resident daily information checking unit is used for checking and analyzing the identity information before the resident is in the guaranteed rental housing and the daily information after the resident is in the guaranteed rental housing, and judging whether the resident is in the resident;
the BI data analysis platform is used for collecting and analyzing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident, and digitally managing and visualizing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident.
Further, the main control unit controls the resident identity on-line identification unit, the resident on-line reservation unit, the resident terminal check-in unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform to be normally closed;
when the housing management system operates, the main control unit controls the on-line identification unit of the identity of the house to be started;
when the resident identity online identification unit judges that the target resident accords with the handling qualification of the guaranteed rented living room, the main control unit controls the resident online reservation unit to be started;
when the resident online reservation unit judges that the target resident reservation is successful, the main control unit controls the resident terminal to start the resident terminal business handling unit;
when the housing end check-in unit judges that the target housing is successful in check-in, the main control unit controls the daily information acquisition unit, the daily information checking unit and the BI data analysis platform to be started.
Further, the household daily information acquisition unit comprises an instantaneous detection module, a middle-term detection module and a long-term detection module, wherein the instantaneous detection module, the middle-term detection module and the long-term detection module are respectively connected with the main control unit;
the instantaneous detection module is used for detecting daily information of a target resident in real time and judging whether the resident is in the home by matching with the resident daily information detection unit;
the medium-term detection module is used for detecting daily information of a target resident by taking a month as a time unit and judging whether the resident is in the home by matching with the resident daily information detection unit;
the long-term detection module is used for detecting daily information of a target resident by taking a quarter as a time unit and judging whether the resident is in the home or not by matching with the resident daily information detection unit.
Further, when the main control unit controls the household daily information acquisition unit to be started, the main control unit controls the long-term detection module to be normally opened, and controls the instantaneous detection module and the middle-term detection module to be normally closed;
when the long-term detection module detects daily information of a target resident in a quarter time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the mid-term detection module to be started;
when the middle-term detection module detects daily information of a target resident in a month as a time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the instant detection module, and if the instant detection module detects the daily information of the target resident in real time and judges that the non-resident is in the home by matching with the resident daily information detection unit, the detection result of the resident daily information detection unit is that the non-resident is in the home.
Further, the long-term detection module comprises a water, electricity and gas use detection device;
the water, electricity and gas use detection device is used for detecting water, electricity and gas use conditions of each month of a target resident in a quarter.
Further, the middle-term detection module comprises a travel rule detection device and a work and rest rule detection device;
the travel rule detection device is used for detecting the travel rule of a target resident every day in one month;
the work and rest law detection device is used for detecting the work and rest law of a target resident every day in one month.
Further, the instantaneous detection module comprises a height detection device, a weight detection device and a contour detection device;
the height detection device is used for detecting real-time height data of a target resident;
the weight detection device is used for detecting real-time weight data of a target resident;
the contour detection device is used for detecting real-time contour data of a target resident.
Compared with the prior art, the invention has the following beneficial effects:
through the cooperation among the resident identity online identification unit, the resident online reservation unit, the resident terminal check-in unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform, whether the target user of the guaranteed lease living is in line or not can be reasonably inspected and judged online, and the target user of the compliance operation and the non-compliance operation can be digitally managed and visualized through the BI data analysis platform, and can be displayed on part of authority webpages, and the target user of the non-compliance operation is blacklisted, so that the leak rate of the guaranteed lease living is reduced. Each unit is orderly matched and started, so that invalid operation in a large number of data operation links can be avoided, and the effective calculation force of the hardware data processor is ensured. The resident daily information acquisition unit and the resident daily information checking unit are matched, so that target users who do not operate in compliance can be effectively checked.
Drawings
Fig. 1 is a schematic system configuration diagram of the embodiment.
Fig. 2 is a schematic diagram of the system working principle according to the embodiment.
Fig. 3 is a schematic diagram of a working principle of a resident daily information obtaining unit according to the embodiment.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
As shown in fig. 1, a housing management system based on big data analysis is provided, which comprises a housing identity online identification unit, a housing entrance online reservation unit, a housing end entrance handling unit, a housing daily information acquisition unit, a housing daily information inspection unit, a BI data analysis platform and a main control unit; the main control unit is respectively connected with the resident identity online identification unit, the resident online reservation unit, the resident terminal check-in handling unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform;
the resident identity online identification unit is used for online identifying the identity information of the resident and judging whether the resident accords with the handling qualification of the house rented by the guarantee;
the resident online reservation unit is used for reserving and handling the guaranteed renting of the resident online and judging whether reservation is successful;
the housing end check-in unit is used for checking in at the housing end, identifying the identity information of the housing on site and judging whether the housing check-in is successful or not;
the resident daily information acquisition unit is used for acquiring the identity information of the resident before the resident enters the guaranteed rental housing and the daily information of the resident after the resident enters the guaranteed rental housing;
the resident daily information checking unit is used for checking and analyzing the identity information before the resident is in the guaranteed rental housing and the daily information after the resident is in the guaranteed rental housing, and judging whether the resident is in the resident;
the BI data analysis platform is used for collecting and analyzing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident, and digitally managing and visualizing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident.
According to the scheme, whether the target user of the guaranteed lease living is in line or not can be reasonably checked and judged online and offline through the cooperation among the resident identity online identification unit, the resident online reservation unit, the living end living handling unit, the resident daily information acquisition unit, the resident daily information checking unit and the BI data analysis platform, digital management and visualization are carried out on the target user of the compliance operation and the non-compliance operation through the BI data analysis platform, the target user of the non-compliance operation can be displayed on part of authority webpages, blacklisting is carried out on the target user of the non-compliance operation, and the reduction of the leak rate of the guaranteed lease living is facilitated.
Further, as shown in fig. 2, the main control unit controls the resident identity on-line identification unit, the resident on-line reservation unit, the resident terminal on-line processing unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform to be normally closed;
when the housing management system operates, the main control unit controls the on-line identification unit of the identity of the house to be started;
when the resident identity online identification unit judges that the target resident accords with the handling qualification of the guaranteed rented living room, the main control unit controls the resident online reservation unit to be started;
when the resident online reservation unit judges that the target resident reservation is successful, the main control unit controls the resident terminal to start the resident terminal business handling unit;
when the housing end check-in unit judges that the target housing is successful in check-in, the main control unit controls the daily information acquisition unit, the daily information checking unit and the BI data analysis platform to be started.
In the scheme, the resident identity on-line identification unit, the resident on-line reservation unit, the resident terminal on-line processing unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform are orderly matched and started, so that invalid operation of a large number of data operation links can be avoided, and the effective computing power of the hardware data processor is ensured. The resident daily information acquisition unit and the resident daily information checking unit are matched, so that target users who do not operate in compliance can be effectively checked, and the leak rate of the guaranteed rented houses is reduced.
Further, the household daily information acquisition unit comprises an instantaneous detection module, a middle-term detection module and a long-term detection module, wherein the instantaneous detection module, the middle-term detection module and the long-term detection module are respectively connected with the main control unit;
the instantaneous detection module is used for detecting daily information of a target resident in real time and judging whether the resident is in the home by matching with the resident daily information detection unit;
the medium-term detection module is used for detecting daily information of a target resident by taking a month as a time unit and judging whether the resident is in the home by matching with the resident daily information detection unit;
the long-term detection module is used for detecting daily information of a target resident by taking a quarter as a time unit and judging whether the resident is in the home or not by matching with the resident daily information detection unit.
Further, as shown in fig. 3, when the main control unit controls the household daily information acquisition unit to be opened, the main control unit controls the long-term detection module to be normally opened, and controls the instantaneous detection module and the middle-term detection module to be normally closed;
when the long-term detection module detects daily information of a target resident in a quarter time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the mid-term detection module to be started;
when the middle-term detection module detects daily information of a target resident in a month as a time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the instant detection module, and if the instant detection module detects the daily information of the target resident in real time and judges that the non-resident is in the home by matching with the resident daily information detection unit, the detection result of the resident daily information detection unit is that the non-resident is in the home.
In the scheme, the operation time of the detection equipment is considered, so that the detection equipment is prevented from long-term action and target users who are not in compliance operation can be checked, and the detection equipment is designed into three detection parts, namely an instantaneous detection module, a medium-term detection module and a long-term detection module; the long-term detection module is normally open, takes a quarter as a time unit, performs data acquisition once every month in a quarter period, has low action frequency, and can save energy consumption and ensure detection of a non-compliance operation target user; when the long-term detection module detects that the non-resident is in the home, the middle-term detection module and the instant detection module are started in sequence, and when the detection results of the three gradient detection links are all that the non-resident is in the home, the resident daily information detection unit only makes the judgment that the non-resident is in the home, and the three gradient detection links can further guarantee the detection reliability of the non-compliance operation target user.
Further, the long-term detection module can be a water electric use detection device or the like;
the water, electricity and gas use detection device is used for detecting water, electricity and gas use conditions of each month of a target resident in a quarter.
In the scheme, the water, electricity and gas use condition usually takes months as a unit, accords with the time characteristic of the long-term detection module, does not relate to privacy information acquisition such as resident fingerprint, camera shooting and the like, and is easy for practical implementation of the long-term detection module.
Further, the middle-term detection module can select a travel rule detection device, a work and rest rule detection device and the like;
the travel rule detection device is used for detecting the travel rule of a target resident every day in one month;
the work and rest law detection device is used for detecting the work and rest law of a target resident every day in one month.
In the scheme, the travel rule and the work and rest rule usually take the day as a unit, the time characteristic of the middle-term detection module is met, privacy information acquisition such as resident fingerprint and camera shooting is not involved, and the practical implementation of the middle-term detection module is easy. And the detection results of the travel rule detection device and the work and rest rule detection device can be bound, when the detection results of the travel rule detection device and the work and rest rule detection device are not matched with the preset travel rule and the preset work and rest rule of the target resident (the target resident fills in the process of transacting to check in, or takes the daily information of check in of the previous week of the target resident as reference, and the like), the detection result of the middle-term detection module is triggered to be the check-in condition of the non-resident, and the detection result of the middle-term detection module can judge that the resident is checked in when the detection result of the middle-term detection module is different from the preset travel rule and the preset work and rest rule of the target resident is satisfied.
Further, the instantaneous detection module can be a height detection device, a weight detection device, a contour detection device and the like;
the height detection device is used for detecting real-time height data of a target resident;
the weight detection device is used for detecting real-time weight data of a target resident;
the contour detection device is used for detecting real-time contour data of a target resident.
In the scheme, the height, the weight and the outline can be obtained from the condition that the resident enters and exits the door, the time characteristic of the instantaneous detection module is met, privacy information such as fingerprint and camera shooting of the resident is not involved, the objection of the resident is not easy to cause, and the actual implementation of the instantaneous detection module is easy. Binding three elements of height, weight and contour with a target resident so as to judge whether the resident is in the home, and when one element does not accord with preset information (the target resident fills in the home by itself when transacting the home, or takes the daily information of the target resident for the previous week as reference, etc.), related staff can intervene to perform manual judgment.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (5)
1. The housing management system based on big data analysis is characterized by comprising a housing identity online identification unit, a housing entrance online reservation unit, a housing end entrance handling unit, a housing daily information acquisition unit, a housing daily information inspection unit, a BI data analysis platform and a main control unit; the main control unit is respectively connected with the resident identity online identification unit, the resident online reservation unit, the resident terminal check-in handling unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform;
the resident identity online identification unit is used for online identifying the identity information of the resident and judging whether the resident accords with the handling qualification of the house rented by the guarantee;
the resident online reservation unit is used for reserving and handling the guaranteed renting of the resident online and judging whether reservation is successful;
the housing end check-in unit is used for checking in at the housing end, identifying the identity information of the housing on site and judging whether the housing check-in is successful or not;
the resident daily information acquisition unit is used for acquiring the identity information of the resident before the resident enters the guaranteed rental housing and the daily information of the resident after the resident enters the guaranteed rental housing;
the resident daily information checking unit is used for checking and analyzing the identity information before the resident is in the guaranteed rental housing and the daily information after the resident is in the guaranteed rental housing, and judging whether the resident is in the resident;
the BI data analysis platform is used for collecting and analyzing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident, and digitally managing and visualizing the identity information and daily information of the resident and the checking result of the daily information checking unit of the resident;
the main control unit controls the resident identity on-line identification unit, the resident on-line reservation unit, the resident terminal on-line handling unit, the resident daily information acquisition unit, the resident daily information inspection unit and the BI data analysis platform to be normally closed;
when the housing management system operates, the main control unit controls the on-line identification unit of the identity of the house to be started;
when the resident identity online identification unit judges that the target resident accords with the handling qualification of the guaranteed rented living room, the main control unit controls the resident online reservation unit to be started;
when the resident online reservation unit judges that the target resident reservation is successful, the main control unit controls the resident terminal to start the resident terminal business handling unit;
when the housing end check-in unit judges that the target housing is successful in check-in, the main control unit controls the daily information acquisition unit, the daily information verification unit and the BI data analysis platform to be started;
the household daily information acquisition unit comprises an instantaneous detection module, a middle-term detection module and a long-term detection module, wherein the instantaneous detection module, the middle-term detection module and the long-term detection module are respectively connected with the main control unit;
the instantaneous detection module is used for detecting daily information of a target resident in real time and judging whether the resident is in the home by matching with the resident daily information detection unit;
the medium-term detection module is used for detecting daily information of a target resident by taking a month as a time unit and judging whether the resident is in the home by matching with the resident daily information detection unit;
the long-term detection module is used for detecting daily information of a target resident by taking a quarter as a time unit and judging whether the resident is in the home or not by matching with the resident daily information detection unit.
2. The housing management system based on big data analysis according to claim 1, wherein when the main control unit controls the household daily information acquisition unit to be started, the main control unit controls the long-term detection module to be normally opened and controls the instantaneous detection module and the medium-term detection module to be normally closed;
when the long-term detection module detects daily information of a target resident in a quarter time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the mid-term detection module to be started;
when the middle-term detection module detects daily information of a target resident in a month as a time unit and judges that a non-resident is in the home by matching with the resident daily information detection unit, the main control unit controls the instant detection module, and if the instant detection module detects the daily information of the target resident in real time and judges that the non-resident is in the home by matching with the resident daily information detection unit, the detection result of the resident daily information detection unit is that the non-resident is in the home.
3. The big data analysis based housing management system of claim 1, wherein the long term detection module comprises a water gas usage detection device;
the water, electricity and gas use detection device is used for detecting water, electricity and gas use conditions of each month of a target resident in a quarter.
4. The housing management system based on big data analysis according to claim 1, wherein the middle-term detection module comprises a travel rule detection device and a work and rest rule detection device;
the travel rule detection device is used for detecting the travel rule of a target resident every day in one month;
the work and rest law detection device is used for detecting the work and rest law of a target resident every day in one month.
5. The big data analysis based housing management system of claim 1, wherein the transient detection module comprises a height detection device, a weight detection device, a contour detection device;
the height detection device is used for detecting real-time height data of a target resident;
the weight detection device is used for detecting real-time weight data of a target resident;
the contour detection device is used for detecting real-time contour data of a target resident.
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| CN109493099A (en) * | 2018-12-07 | 2019-03-19 | 万翼科技有限公司 | Confirmation method, server and the storage medium of house-purchase qualification |
| CN109767183A (en) * | 2018-12-29 | 2019-05-17 | 中国工商银行股份有限公司 | Business handling method and device based on living things feature recognition |
| CN115374426A (en) * | 2022-08-23 | 2022-11-22 | 中国电信股份有限公司 | Access control method, device, equipment and storage medium |
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