CN117745044B - Property asset management method, device, equipment and storage medium - Google Patents
Property asset management method, device, equipment and storage medium Download PDFInfo
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 121
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- 238000004891 communication Methods 0.000 claims description 18
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Abstract
The invention relates to the technical field of property asset management, and discloses a property asset management method, a device, equipment and a storage medium, wherein the method comprises the following steps: receiving property asset registration information; auditing the target property assets according to the asset information and property unit information, and generating storage information of the target property assets according to preset storage rules; performing state monitoring on target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; analyzing differences between N pieces of image data of the same day of each property asset and pre-stored image data, and determining whether the image data of the same day is abnormal or not; when an abnormality exists, inquiring and determining the abnormal target property asset number; and outputting the name of the abnormal target property and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number. The invention realizes the effective management and control of property assets.
Description
Technical Field
The invention relates to the technical field of property asset management, in particular to a property asset management method, a device, equipment and a storage medium.
Background
At present, property asset management refers to a technology for comprehensively utilizing property management, facility management, real estate asset management and real estate combination management in order to meet the purpose of a house investor, and aims to provide comprehensive management service for property assets of a community throughout the whole property asset life cycle.
Because the property asset management has the characteristics of wide distribution, large quantity, frequent adjustment and the like, the current property asset management has lag in property asset change information, equipment optimization and allocation cannot be performed in time, and the management difficulty is high.
Disclosure of Invention
In view of the above problems, the application provides a property asset management method, device, equipment and storage medium, which are used for solving the problems that in the prior art, property asset change information has hysteresis, equipment optimization allocation cannot be performed in time, and management difficulty is high.
According to one aspect of the present application, there is provided a property asset management method, the method comprising:
receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
Auditing the target property assets according to the asset information and property unit information, and generating storage information of the target property assets according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
performing state monitoring on the target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; the at least one property asset includes the target property asset;
Analyzing differences between N pieces of image data of the current day of each property asset and pre-stored image data, and determining whether the image data of the current day is abnormal or not;
When the image data of the current day of the target property assets in the target property unit area is abnormal, inquiring and determining abnormal target property asset numbers according to the corresponding relation between property asset numbers and asset images;
And outputting the name of the abnormal target property and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
In an optional manner, the property asset management method further includes:
Acquiring inquiry information of a user on a target property asset; the query information comprises query parameters corresponding to the target property assets;
Determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information;
and displaying the property asset information corresponding to the target property asset to a user.
In an optional manner, the performing status monitoring on the target property asset to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day includes:
at least one camera device is arranged at the place where the property assets are stored in each property unit area;
And acquiring N pieces of image data of the same day of at least one property in each property unit area at random N times in one day through the at least one camera.
In an optional manner, before the acquiring, by the at least one image capturing device, N pieces of image data of the current day of the at least one property asset in each of the property unit areas at random N times of the day, the method further includes:
Shooting a plurality of initial images in each property unit area in advance, wherein each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area;
Labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state.
In an alternative manner, the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset to determine whether there is an abnormality in the current day image data includes:
respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data;
and comparing the property asset numbers and the property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and the property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not.
In an alternative, the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
In an alternative manner, the pre-stored image data includes image data of a normal operating state; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
Comparing the image data of the current day with the image data of the normal running state, and analyzing whether the property asset with abnormal running exists in the image data of the current day;
And when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality.
According to another aspect of the present application, there is provided a property asset management device, comprising:
The receiving module is used for receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
the storage module is used for auditing the target property according to the property information and the property unit information and generating storage information of the target property according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
The monitoring module is used for carrying out state monitoring on the target property assets and acquiring N pieces of image data of the same day of at least one property asset in each property unit area at random N moments in a day; the at least one property asset includes the target property asset;
The analysis module is used for analyzing the difference between the N pieces of image data of the same day of each property asset and the pre-stored image data and determining whether the image data of the same day is abnormal or not;
The first determining module is used for inquiring and determining the abnormal target property asset number according to the corresponding relation between the property asset number and the asset image when the image data of the current day of the target property asset in the target property unit area is abnormal;
And the output module is used for outputting the name of the abnormal target property asset and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
In an alternative, the apparatus further comprises:
The query module is used for acquiring query information of a user on the target property asset; the query information comprises query parameters corresponding to the target property assets;
The second determining module is used for determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset status description information;
And the display module is used for displaying the property asset information corresponding to the target property asset to a user.
In an alternative, the pre-stored image data comprises historical image data; the analysis module is further to:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
According to another aspect of the present application, there is provided a property asset management device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operations of the property asset management method.
According to yet another aspect of the present application, there is provided a computer readable storage medium having stored therein at least one executable instruction that, when executed on a property asset management device, causes the property asset management device to perform the operations of the property asset management method.
According to the method, the device and the system, property asset registration information sent by a user is received, the target property asset is audited according to the property information and property unit information, storage information of the target property asset is generated according to a preset storage rule, state monitoring is conducted on the target property asset, N pieces of image data of the day of at least one property asset in each property unit area at random N times in one day are obtained, differences between the N pieces of image data of the day of each property asset and pre-stored image data are analyzed, whether the image data of the day is abnormal or not is determined, and when the image data of the day of the target property asset in the target property unit area is abnormal, the abnormal target property asset number is inquired and determined according to the corresponding relation between the property asset number and an asset image; and outputting the abnormal target property asset name and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number, so that the property asset can be effectively managed in time, the property asset management is clear, and the property asset management efficiency is improved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a schematic flow chart of a property asset management method according to an embodiment of the invention.
Fig. 2 is a schematic structural diagram of a property asset management device according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a property asset management device according to an embodiment of the present invention.
In the figure: 200. a property asset management device; 210. a receiving module; 220. a storage module; 230. a monitoring module; 240. an analysis module; 250. a first determination module; 260. an output module; 402. a processor; 404. a communication interface; 408. a communication bus; 410. a program; 406. a memory.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein.
Step 110: receiving property asset registration information sent by a user; the property asset registration information includes asset information of a target property asset and property unit information.
The target property assets refer to at least one property asset to be managed in the property unit area. When a new property asset needs to be registered, a user sends asset information and property unit information of the property asset needing to be registered to a property asset management device through an intelligent terminal. The property unit information is information of a property unit area to which the property asset to be registered belongs. In an embodiment of the present invention, the property asset registration information further includes an asset image corresponding to a property asset to be registered, where the asset image corresponding to the property asset to be registered is an image corresponding to the property asset to be registered. Therefore, the user also needs to shoot an image corresponding to the target property asset to be registered, and send the asset image corresponding to the property asset to be registered to the property asset management device. Wherein the property asset may include a cart, a construction tool, a maintenance tool, an elevator, a drainage well, fire equipment, and the like.
Step 120: and auditing the target property according to the property information and the property unit information, and generating storage information of the target property according to a preset storage rule.
In an embodiment of the invention, after receiving the asset information and the property unit information, auditing the asset information, the property unit information and the asset image of the target property asset on line by an auditing person respectively, and checking whether the asset information, the property unit information and the asset image are consistent with the actual information of the target property asset or not, if so, generating and storing the storage information of the target property asset. Wherein, the auditing personnel know the actual information of the target property assets in advance. Specifically, the target property asset can be audited according to preset auditing rules, wherein the preset auditing rules can respectively audit asset information, property unit information and asset images of the target property asset on line by setting auditing flows of related personnel such as corresponding property administrators, asset responsible persons, managers and the like. And when the property manager, the property responsible person, the manager and other related personnel pass the examination and verification of the property information, property unit information and the property image of the target property asset on line, storing the information corresponding to the target property asset.
Wherein, the preset storage rules prescribe the storage format of the storage information, the storage field information and the like. The storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset. In an embodiment of the present invention, the storage information is stored in a table form to form a property asset information table. The property asset information table comprises field information such as property asset numbers, property asset names, property unit information, asset images, property asset status description information and the like. The property asset status description information may include description information of the status of the working state, the service life, etc. of the target property asset.
In an embodiment of the present invention, the user may also query stored information of the stored property asset. Specifically, acquiring inquiry information of a user on a target property asset; the query information comprises query parameters corresponding to the target property assets; determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information; and displaying property asset information corresponding to the target property asset to a user through a display module. Wherein the target property assets are one or more of the property assets within the target property unit area; the query parameter may be a query field preset by the system, which corresponds to the stored information, and for example, one or more of a property asset number, a property asset name, and property unit information may be used as the query parameter.
Step 130: and carrying out state monitoring on the target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in one day.
In one embodiment of the present invention, the property units are divided into areas in advance, and the property unit areas are divided at each position where the property assets are stored, where one or more property assets may be included in one property unit area. The property assets within each property unit area include the target property asset. According to the embodiment of the invention, property assets are stored in each property unit area in advance, and at least one camera device is arranged in each property unit area; and acquiring N pieces of image data of the same day of at least one property in each property unit area at random N times in one day through the at least one camera. Each of the current day image data includes a plurality of property assets within one or more property unit areas. A plurality of initial images in each property unit area can be shot in advance, and each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area. Wherein, the running state refers to the running state of the property asset in the working state. If the property is a property elevator, the normal running state and the abnormal running state of the property elevator can be obtained by shooting the display state of the elevator switch display screen when the property elevator runs, so that different running states of the property elevator can be obtained.
Step 140: and analyzing the difference between the N pieces of current-day image data of each property asset and the pre-stored image data, and determining whether the current-day image data is abnormal.
In one embodiment of the present invention, the pre-stored image data includes historical image data. Specifically, the current day image data is compared with the historical image data to determine whether there are missing property assets. And inquiring whether a lending or using record exists when determining that the lacking property exists in the image data of the current day. When there is a lending or usage record, it is determined that there is no abnormality in the image data of the current day. When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day. In an embodiment of the invention, the property assets in the current day image data and the historical image data can be identified through the image identification model to obtain identification results, and differences between the property asset identification results in the current day image data and the historical image data are compared through the image analysis model, so that whether the missing property asset exists in the current day image data or not is determined. For example, for property assets such as property trolleys and maintenance tools, the image recognition models under all the gestures are trained in advance, so that the image recognition models can recognize all the gestures of the property assets.
In an embodiment of the present invention, for a property asset in a working state, the pre-stored image data includes image data of a normal operation state of the property asset. The image data of the normal running state is the state that the property asset in the working state runs normally. Acquiring images of the property assets in normal operation in advance, comparing the image data of the current day with the pre-stored image data, and analyzing whether the property assets with abnormal operation exist in the image data of the current day; and when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality. Because the system pre-stores the image data of the target property asset in the normal running state, the similarity between the image data of the current day and the image data of the normal running state is determined by comparing the image data of the current day and the image data of the normal running state, and when the similarity is larger than a preset similarity threshold value, the property asset corresponding to the image data of the current day is determined to have no abnormality.
In another embodiment of the present invention, as described above, a plurality of initial images in each property unit area are captured in advance, where each initial image includes a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area. And then, labeling each property asset in each initial image, wherein the label labeling comprises property asset numbers and property asset running states (wherein the running states in the initial images are normal running states). And training the image recognition model according to the plurality of initial images with the labels to obtain a trained image recognition model. And then, respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data. After the property asset numbers and the property asset running states corresponding to the image data of the same day are obtained, comparing whether differences exist between the property asset numbers and the property asset running states corresponding to the image data of the same day and the property asset numbers and the property asset running states corresponding to the pre-stored image data, so that whether the image data of the same day is abnormal or not is determined. And when any one property asset number or property asset running state in any one of the image data of the same day is inconsistent with the property asset number or property asset running state corresponding to the pre-stored image data, determining that the image data of the same day is abnormal. And determining the property asset number corresponding to the abnormal image data.
Step 150: when the image data of the current day of the target property in the target property unit area is abnormal, inquiring and determining the abnormal target property number according to the corresponding relation between the property number and the property image.
The target property unit area is any one or more property unit areas in each property unit area.
The stored information in one embodiment of the present invention includes an asset image and a property number of a property asset, so when it is determined that the image data of the current day in the target property unit area is abnormal, the abnormal target property asset number (i.e., the property asset number of the target property asset) is queried and determined according to the corresponding relationship between the pre-stored target asset image (i.e., the property image of the target property asset) and the property asset number.
Step 160: and outputting the abnormal target property name (namely the property name of the target property) and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
After obtaining the abnormal target property asset number, the name of the target property asset and property asset condition description information of the abnormal target property asset can be inquired and determined according to the stored information. The embodiment of the invention also sends the target property asset name and property asset status description information of the abnormal target property asset to the manager corresponding to the target property asset, so that the manager can process correspondingly.
According to the method, the device and the system, property asset registration information sent by a user is received, the target property asset is audited according to the property information and property unit information, storage information of the target property asset is generated according to a preset storage rule, state monitoring is conducted on the target property asset, N pieces of image data of the day of at least one property asset in each property unit area at random N times in one day are obtained, differences between the N pieces of image data of the day of each property asset and pre-stored image data are analyzed, whether the image data of the day is abnormal or not is determined, and when the image data of the day of the target property asset in the target property unit area is abnormal, the abnormal target property asset number is inquired and determined according to the corresponding relation between the property asset number and an asset image; and outputting the abnormal target property asset name and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number, so that the property asset can be effectively managed in time, the property asset management is clear, and the property asset management efficiency is improved.
Fig. 2 is a schematic structural diagram of a property asset management device according to an embodiment of the present invention. As shown in fig. 2, the property asset management device 200 includes:
A receiving module 210, configured to receive property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
The storage module 220 is configured to audit the target property according to the property information and property unit information, and generate storage information of the target property according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
the monitoring module 230 is configured to perform status monitoring on the target property asset, and obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; the at least one property asset includes the target property asset;
the analysis module 240 is configured to analyze differences between N pieces of current day image data of each property asset and pre-stored image data, and determine whether the current day image data is abnormal;
The first determining module 250 is configured to query and determine an abnormal target property number according to a correspondence between the property number and the property image when the current day image data of the target property in the target property unit area is abnormal;
And the output module 260 is configured to output the abnormal target property asset name and property asset status description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
The apparatus further comprises:
The query module is used for acquiring query information of a user on the target property asset; the query information comprises query parameters corresponding to the target property assets;
The second determining module is used for determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset status description information;
And the display module is used for displaying the property asset information corresponding to the target property asset to a user.
In an alternative manner, the monitoring module 230 is further configured to:
at least one camera device is arranged at the place where the property assets are stored in each property unit area;
And acquiring N pieces of image data of the same day of at least one property in each property unit area at random N times in one day through the at least one camera.
In an alternative manner, the monitoring module 230 is further configured to:
Shooting a plurality of initial images in each property unit area in advance, wherein each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area;
Labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state.
In an alternative manner, the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset to determine whether there is an abnormality in the current day image data includes:
respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data;
and comparing the property asset numbers and the property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and the property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not.
In an alternative, the pre-stored image data comprises historical image data; the analysis module is further to:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
In an alternative manner, the pre-stored image data includes image data of a normal operating state; the analysis module is further to:
Comparing the image data of the current day with the image data of the normal running state, and analyzing whether the property asset with abnormal running exists in the image data of the current day;
And when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality.
According to the method, the device and the system, property asset registration information sent by a user is received, the target property asset is audited according to the property information and property unit information, storage information of the target property asset is generated according to a preset storage rule, state monitoring is conducted on the target property asset, N pieces of image data of the day of at least one property asset in each property unit area at random N times in one day are obtained, differences between the N pieces of image data of the day of each property asset and pre-stored image data are analyzed, whether the image data of the day is abnormal or not is determined, and when the image data of the day of the target property asset in the target property unit area is abnormal, the abnormal target property asset number is inquired and determined according to the corresponding relation between the property asset number and an asset image; and outputting the abnormal target property asset name and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number, so that the property asset can be effectively managed in time, the property asset management is clear, and the property asset management efficiency is improved.
Fig. 3 is a schematic structural diagram of a property asset management device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the property asset management device.
As shown in fig. 3, the property asset management device may include: a processor 402, a communication interface (Communications Interface) 404, a memory 406, and a communication bus 408.
Wherein: processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408. A communication interface 404 for communicating with network elements of other devices, such as clients or other servers. Processor 402 is configured to execute program 410, and may specifically perform relevant steps in the above-described property asset management method embodiment.
In particular, program 410 may include program code including computer-executable instructions.
The processor 402 may be a central processing unit CPU, or an Application-specific integrated Circuit ASIC (Application SPECIFIC INTEGRATED Circuit), or one or more integrated circuits configured to implement an embodiment of the present invention. The one or more processors included in the property asset management device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 406 for storing programs 410. Memory 406 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 410 may be specifically invoked by processor 402 to cause a property asset management device to:
receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
Auditing the target property assets according to the asset information and property unit information, and generating storage information of the target property assets according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
performing state monitoring on the target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; the at least one property asset includes the target property asset;
Analyzing differences between N pieces of image data of the current day of each property asset and pre-stored image data, and determining whether the image data of the current day is abnormal or not;
When the image data of the current day of the target property assets in the target property unit area is abnormal, inquiring and determining abnormal target property asset numbers according to the corresponding relation between property asset numbers and asset images;
And outputting the name of the abnormal target property and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
In an alternative manner, the following operations are also performed:
Acquiring inquiry information of a user on a target property asset; the query information comprises query parameters corresponding to the target property assets;
Determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information;
and displaying the property asset information corresponding to the target property asset to a user.
In an optional manner, the performing status monitoring on the target property asset to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day includes:
at least one camera device is arranged at the place where the property assets are stored in each property unit area;
And acquiring N pieces of image data of the same day of at least one property in each property unit area at random N times in one day through the at least one camera.
In an optional manner, before the acquiring, by the at least one image capturing device, N pieces of image data of the current day of the at least one property asset in each of the property unit areas at random N times of the day, the method further includes:
Shooting a plurality of initial images in each property unit area in advance, wherein each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area;
Labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state.
In an alternative manner, the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset to determine whether there is an abnormality in the current day image data includes:
respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data;
and comparing the property asset numbers and the property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and the property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not.
In an alternative, the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
In an alternative manner, the pre-stored image data includes image data of a normal operating state; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
Comparing the image data of the current day with the image data of the normal running state, and analyzing whether the property asset with abnormal running exists in the image data of the current day;
And when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality.
According to the method, the device and the system, property asset registration information sent by a user is received, the target property asset is audited according to the property information and property unit information, storage information of the target property asset is generated according to a preset storage rule, state monitoring is conducted on the target property asset, N pieces of image data of the day of at least one property asset in each property unit area at random N times in one day are obtained, differences between the N pieces of image data of the day of each property asset and pre-stored image data are analyzed, whether the image data of the day is abnormal or not is determined, and when the image data of the day of the target property asset in the target property unit area is abnormal, the abnormal target property asset number is inquired and determined according to the corresponding relation between the property asset number and an asset image; and outputting the abnormal target property asset name and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number, so that the property asset can be effectively managed in time, the property asset management is clear, and the property asset management efficiency is improved.
An embodiment of the present invention provides a computer readable storage medium storing at least one executable instruction that, when executed on a property asset management device, causes the property asset management device to perform the property asset management method of any of the above-described method embodiments.
The executable instructions may be specifically for causing the property asset management device to:
receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
Auditing the target property assets according to the asset information and property unit information, and generating storage information of the target property assets according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
performing state monitoring on the target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; the at least one property asset includes the target property asset;
Analyzing differences between N pieces of image data of the current day of each property asset and pre-stored image data, and determining whether the image data of the current day is abnormal or not;
When the image data of the current day of the target property assets in the target property unit area is abnormal, inquiring and determining abnormal target property asset numbers according to the corresponding relation between property asset numbers and asset images;
And outputting the name of the abnormal target property and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
In an alternative manner, the following operations are also performed:
Acquiring inquiry information of a user on a target property asset; the query information comprises query parameters corresponding to the target property assets;
Determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information;
and displaying the property asset information corresponding to the target property asset to a user.
In an optional manner, the performing status monitoring on the target property asset to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day includes:
at least one camera device is arranged at the place where the property assets are stored in each property unit area;
And acquiring N pieces of image data of the same day of at least one property in each property unit area at random N times in one day through the at least one camera.
In an optional manner, before the acquiring, by the at least one image capturing device, N pieces of image data of the current day of the at least one property asset in each of the property unit areas at random N times of the day, the method further includes:
Shooting a plurality of initial images in each property unit area in advance, wherein each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area;
Labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state.
In an alternative manner, the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset to determine whether there is an abnormality in the current day image data includes:
respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data;
and comparing the property asset numbers and the property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and the property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not.
In an alternative, the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
In an alternative manner, the pre-stored image data includes image data of a normal operating state; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
Comparing the image data of the current day with the image data of the normal running state, and analyzing whether the property asset with abnormal running exists in the image data of the current day;
And when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality.
According to the method, the device and the system, property asset registration information sent by a user is received, the target property asset is audited according to the property information and property unit information, storage information of the target property asset is generated according to a preset storage rule, state monitoring is conducted on the target property asset, N pieces of image data of the day of at least one property asset in each property unit area at random N times in one day are obtained, differences between the N pieces of image data of the day of each property asset and pre-stored image data are analyzed, whether the image data of the day is abnormal or not is determined, and when the image data of the day of the target property asset in the target property unit area is abnormal, the abnormal target property asset number is inquired and determined according to the corresponding relation between the property asset number and an asset image; and outputting the abnormal target property asset name and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number, so that the property asset can be effectively managed in time, the property asset management is clear, and the property asset management efficiency is improved.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus.
Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, an embodiment of the present invention is not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of an embodiment of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component, and they may be divided into a plurality of sub-modules or sub-units or sub-components.
Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (7)
1. A property asset management method, the method comprising:
receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
Auditing the target property assets according to the asset information and property unit information, and generating storage information of the target property assets according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
Shooting a plurality of initial images in each property unit area in advance, wherein each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area; labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state; the method comprises the steps of dividing a property unit into areas in advance, dividing the property unit area at each position for storing property assets, wherein one property unit area comprises one or more property assets; storing property assets in each property unit area in advance;
Performing state monitoring on the target property assets to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day; the at least one property asset includes the target property asset; the step of performing state monitoring on the target property asset to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day, including: at least one camera device is arranged at the place where the property assets are stored in each property unit area; acquiring N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day through the at least one camera device;
Analyzing differences between N pieces of current-day image data of each property asset and pre-stored image data to determine whether the current-day image data is abnormal, wherein the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps: comparing the image data of the current day with the historical image data to determine whether a missing property exists; inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day; determining that the image data of the current day is not abnormal when a lending or usage record exists; determining that the image data of the current day is abnormal when no lending and usage record exists;
wherein comparing the current day image data with the historical image data to determine whether there are missing property assets comprises: identifying property assets in the current day image data and the historical image data through an image identification model to obtain identification results, and comparing differences between the property asset identification results in the current day image data and the historical image data through an image analysis model to determine whether missing property assets exist in the current day image data; the method comprises the steps of training an image recognition model under each gesture of a property asset in advance, so that the image recognition model can recognize each gesture of the property asset;
The analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, determining whether the current day image data has an abnormality, and further comprises: respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data; comparing the property asset numbers and property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not; the property assets comprise property elevators, and the normal running state and the abnormal running state of the property elevators are obtained by shooting the display states of an elevator switch display screen when the property elevators run, so that different running states of the property elevators are obtained;
When the image data of the current day of the target property assets in the target property unit area is abnormal, inquiring and determining abnormal target property asset numbers according to the corresponding relation between property asset numbers and asset images;
And outputting the name of the abnormal target property and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
2. The property asset management method of claim 1, further comprising:
Acquiring inquiry information of a user on a target property asset; the query information comprises query parameters corresponding to the target property assets;
Determining property asset information corresponding to the target property asset according to the query parameters and the storage information, wherein the property asset information comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information;
and displaying the property asset information corresponding to the target property asset to a user.
3. The property asset management method of claim 1, wherein the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
comparing the image data of the current day with the historical image data to determine whether a missing property exists;
Inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day;
Determining that the image data of the current day is not abnormal when a lending or usage record exists;
When there is no lending and usage record, it is determined that there is an abnormality in the image data of the current day.
4. The property asset management method of claim 1, wherein the pre-stored image data comprises image data of a normal operating state; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps:
Comparing the image data of the current day with the image data of the normal running state, and analyzing whether the property asset with abnormal running exists in the image data of the current day;
And when the property assets with abnormal operation exist, determining that the image data of the current day has abnormality.
5. A property asset management device, the device comprising:
The receiving module is used for receiving property asset registration information sent by a user; the property asset registration information comprises asset information of a target property asset and property unit information;
the storage module is used for auditing the target property according to the property information and the property unit information and generating storage information of the target property according to a preset storage rule; the storage information of the target property asset comprises property asset numbers, property asset names, property unit information, asset images and property asset condition description information corresponding to the target property asset;
The training module is used for shooting a plurality of initial images in each property unit area in advance, and each initial image comprises a plurality of property assets placed in the property unit area; each initial image is an image obtained by shooting a plurality of property assets under different angles and different running states in the property unit area; labeling each property asset in each initial image, and training the image recognition model according to a plurality of initial images with label labels to obtain a trained image recognition model; the label mark comprises a property asset number and a property asset running state;
the monitoring module is used for carrying out state monitoring on the target property assets and acquiring N pieces of image data of the same day of at least one property asset in each property unit area at random N moments in a day; the at least one property asset includes the target property asset; the step of performing state monitoring on the target property asset to obtain N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day, including: at least one camera device is arranged at the place where the property assets are stored in each property unit area; acquiring N pieces of image data of the same day of at least one property asset in each property unit area at random N times in a day through the at least one camera device;
The analysis module is used for analyzing the difference between the N pieces of image data of the same day of each property asset and the pre-stored image data and determining whether the image data of the same day is abnormal or not; wherein the pre-stored image data comprises historical image data; the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, and determining whether the current day image data has an abnormality comprises the following steps: comparing the image data of the current day with the historical image data to determine whether a missing property exists; inquiring whether a lending or usage record exists when determining that the missing property asset exists in the image data of the current day; determining that the image data of the current day is not abnormal when a lending or usage record exists; determining that the image data of the current day is abnormal when no lending and usage record exists;
the analyzing the differences between the N pieces of current day image data and the pre-stored image data of each property asset, determining whether the current day image data has an abnormality, and further comprises: respectively carrying out image recognition on the N pieces of image data on the same day and the pre-stored image data through the trained image recognition model to obtain property asset numbers and property asset running states corresponding to the N pieces of image data on the same day, and property asset numbers and property asset running states corresponding to the pre-stored image data; comparing the property asset numbers and property asset running states corresponding to the N pieces of image data of the same day with the property asset numbers and property asset running states corresponding to the pre-stored image data, and determining whether the image data of the same day is abnormal or not;
The first determining module is used for inquiring and determining the abnormal target property asset number according to the corresponding relation between the property asset number and the asset image when the image data of the current day of the target property asset in the target property unit area is abnormal;
And the output module is used for outputting the name of the abnormal target property asset and property asset condition description information of the abnormal target property asset according to the stored information and the abnormal target property asset number.
6. A property asset management device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
The memory is configured to store at least one executable instruction that causes the processor to perform the operations of the property asset management method of any one of claims 1-4.
7. A computer readable storage medium having stored therein at least one executable instruction that, when executed on a property asset management device, causes the property asset management device to perform the operations of the property asset management method of any one of claims 1-4.
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