CN106844698B

CN106844698B - Digital cloud service platform

Info

Publication number: CN106844698B
Application number: CN201710062512.4A
Authority: CN
Inventors: 胡荣强
Original assignee: Sichuan Hexin Yuanchuang Labor Co ltd
Current assignee: Sichuan Caicai Technology Co ltd
Priority date: 2017-01-26
Filing date: 2017-01-26
Publication date: 2020-07-10
Anticipated expiration: 2037-01-26
Also published as: CN106844698A

Abstract

The invention relates to a digital cloud service platform which comprises a cloud server, at least one acquisition device and at least one intelligent terminal, wherein the acquisition device identifies objects to be managed in an acquisition area and records acquired data information of the objects to be managed as feature data with position information marks described in a natural language, the cloud server receives and stores the feature data of the objects to be managed, which are recorded and sent by the acquisition device, in an unordered mode, and associates physical relationships among the objects to be managed in an adaptive mode and/or a competitive mode based on the feature data, the cloud server judges abnormal action states of the objects to be managed based on the feature data acquired by the acquisition device and physical attributes of the objects to be managed, and sends alarms to the intelligent terminal associated with the objects to be managed with the abnormal action states. The digital cloud service platform does not need to establish a large number of databases to store and manage data, is convenient to use and accords with daily life habits.

Description

Digital cloud service platform

Technical Field

The invention relates to the technical field of cloud service platforms, in particular to a digital cloud service platform.

Background

Cloud Computing (Cloud Computing) is a rapidly growing field in the last two years, providing an internet-based Computing means by which shared software and hardware resources and information can be provided to computers and other devices on demand. Regarding the field of public cloud, there are many cloud platform-based application products, such as a network disk product focusing on storage, and a QPlus product focusing on chat and other applications, but the current application products are bookmark applications, which simply redirect calls to other third-party website products, store and manage user data by the third-party website products, and provide services to users. The existing cloud platform application product has at least the following defects: because application products developed based on the existing cloud platform are all bookmark applications, user data needs to be stored and managed by means of third-party website products, the hidden danger of user information leakage exists, and the information security is low; moreover, an application developer needs to set up a server for developing and running application products by himself, which increases development cost. Particularly for the application of intelligent products such as intelligent communities and the like, the realization of easier liberalization management through a cloud service platform is an urgent problem to be solved.

Chinese patent (CN 102523304B) discloses an application cloud platform, which is characterized in that the application cloud platform includes a user data storage server and an application server, the application server loads an application submitted by a developer and audited by the application cloud platform, and stores the application and user application data generated by the application for a user in the user data storage server; calling related application according to the access request of the user, and running the application on an application server by using the user application data aiming at the user; the application cloud platform further comprises a development server and a development data storage server, wherein the development server issues an application development tool to a developer, receives an application developed and submitted by the developer by using the application development tool, stores the application and test user application data generated by the application for a test user in the development data storage server, and runs the application by using the test user application data; and for the application which is successfully operated and submitted by the developer, auditing the application according to the auditing strategy, and sending the application to the application server when the auditing is passed. Although the application operation can be supported in the cloud platform, the data volume of the operation for storing and managing the terminal is huge, the transmission is slow, and the requirement of a user on quick update of the application cannot be met.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a digital cloud service platform which is characterized by comprising a cloud server, at least one acquisition device and at least one intelligent terminal,

the acquisition device identifies the identity attribute of an object to be managed in an acquisition area, records the acquired data information of the object to be managed as characteristic data with a position information mark described in a natural language,

the cloud server receives and stores the characteristic data of the objects to be managed recorded and transmitted by the acquisition device in an unordered manner, and associates physical relationships between the objects to be managed in an adaptive manner and/or a competitive manner based on the characteristic data,

the cloud server judges the abnormal action state of the object to be managed based on the characteristic data acquired by the acquisition device and the physical attribute of the object to be managed, and sends an alarm to an intelligent terminal associated with the object to be managed with the abnormal action state; wherein the content of the first and second substances,

the cloud server retrieves first characteristic data which is collected by the collection device and is related to the request information based on the request information of the intelligent terminal and is described in natural language and sends the first characteristic data to the intelligent terminal,

the intelligent terminal feeds back required second characteristic data based on the received first characteristic data,

the cloud server analyzes the second characteristic data and determines at least one object to be managed related thereto, and

and the cloud server performs cross comparison on the third characteristic data of the at least one object to be managed acquired by the acquisition device in real time and the second characteristic data, selects the action state of the at least one object to be managed with higher correlation with the second characteristic data and the third characteristic data thereof, and sends the action state and the third characteristic data to the intelligent terminal.

According to a preferred embodiment, the cloud server calculates and judges the behavior state and the action trend of the object to be managed based on the first characteristic data which is acquired by the acquisition device and has the position information mark described in the natural language, analyzes the action track and the action trend of the object to be managed and action matching parameters of action characteristics of the physical attributes and/or identity attributes of the object to be managed, and judges the abnormal action state of the object to be managed under the condition that the action matching parameters are lower than a preset action matching threshold value.

According to a preferred embodiment, the cloud server selects at least one object to be managed based on the intersection of the temporal and/or spatial information of the third characteristic data and the second characteristic data, and

the cloud server marks the object to be managed in a community three-dimensional building model instantiated by a data model in a graphic and/or color mode based on time information and/or space information provided by an intelligent terminal associated with the object to be managed.

According to a preferred embodiment, the cloud server verifies the identity attribute and the behavior authority of the object to be managed based on the behavior state data and/or the action trend data of the object to be managed monitored by the acquisition device or the intelligent terminal, and pushes feature data related to the behavior trend data of the object to be managed to the intelligent terminal held by the cloud server according to the identity attribute and the behavior authority of the object to be managed.

According to a preferred embodiment, the cloud server instantiates the object to be managed into the three-dimensional building model pre-established by the modeling unit in an adaptive manner and/or a competitive manner based on the spatial information of the object to be managed, which is described in the natural language, so as to realize the position matching of the object to be managed and the three-dimensional building model.

According to a preferred embodiment, in a case where a first object to be managed intersects with a second object to be managed in space and time, the cloud server records information in a time-dependent manner based on information provided by a smart terminal held by the first object to be managed and/or the second object to be managed in the space and time intersection, and determines a third object to be managed related to the information based on attributes of the first object to be managed and the second object to be managed, and the cloud server identifies the third object to be managed and the information related to the third object to be managed.

According to a preferred embodiment, the cloud server generates information to be pushed which meets the query condition of the intelligent terminal according to feature data contained in spatial information described in a natural language and at least one attribute feature of an object to be managed corresponding to the spatial information, and pushes the information to be pushed to the intelligent terminal held by the object to be managed corresponding to the spatial information,

and the cloud server sets the identification of the object to be managed for the information fed back by the intelligent terminal and stores the identification in the information storage unit.

According to a preferred embodiment, the cloud server stores the image data, the environment data and/or the state data of the object to be managed based on the image data, the environment data and/or the state data of the object to be managed acquired by the acquisition device, marks the image data, the environment data and/or the state data of the object to be managed in the three-dimensional building in a graphic, color and/or text mode, and pushes the image data, the environment data and/or the state data of the object to be managed to the corresponding intelligent terminal.

According to a preferred embodiment, the cloud server counts the probability of the behavior trend or the state trend of the object to be managed based on the feature data which is acquired by the acquisition device and has intersection with the time information and the spatial information of the object to be managed, and pushes the feature data required by the object to be managed to the corresponding intelligent terminal based on the probability and the request information of the intelligent terminal, and the intelligent terminal marks the feature data selected by the object to be managed and feeds the feature data back to the cloud server.

According to a preferred embodiment, the cloud server comprises a modeling unit and an information storage unit, wherein the modeling unit is used for establishing a three-dimensional building model based on community building space information, sending a space information mark and/or a data record of the three-dimensional building model to the information storage unit for storage, and sending a three-dimensional graphic model corresponding to the information mark and/or the data record to the intelligent terminal for storage.

The invention has the beneficial technical effects that:

the digital cloud service platform identifies and analyzes the objects to be managed in the acquisition area based on the physical attribute data and/or the identity attribute data of the objects to be managed through the cooperation of the acquisition device and the cloud server, and can quickly identify abnormal conditions and send an alarm. The invention does not need the user to preset various data to limit the abnormal behavior state, and the user can not only reduce the setting program but also receive accurate information.

According to the method, the digital cloud server checks and verifies each other through a competition method to determine the position of the object to be managed in the three-dimensional building model, the data do not need to be orderly arranged and then are centrally stored in the central management system, and the establishment of a database is reduced. On the other hand, when the state of the object to be managed is checked, the data record related to the object to be checked can be called only by inputting the natural language description related to the object to be checked, so that the method and the device are convenient to use and accord with the daily life habits.

Drawings

Fig. 1 is a schematic structural diagram of a digital cloud service platform of the present invention.

Detailed Description

The following detailed description is made with reference to the accompanying drawings.

The invention provides a digital cloud service platform which is characterized by comprising a cloud server, at least one acquisition device and at least one intelligent terminal. The acquisition device acquires and records data information identifying an object to be managed in an acquisition area as feature data having a position information mark described in a natural language. The cloud server receives and stores the feature data of the objects to be managed, which are recorded and sent by the acquisition device, in an unordered manner, and associates physical relationships between the objects to be managed in an adaptive manner and/or a competitive manner based on the feature data. The cloud server judges the abnormal action state of the object to be managed based on the characteristic data acquired by the acquisition device and the physical attributes of the object to be managed, and sends an alarm to the intelligent terminal associated with the object to be managed with the abnormal action state. The cloud server retrieves first characteristic data which is acquired by the acquisition device and related to the request information based on the request information which is described by the intelligent terminal in a natural language, and sends the first characteristic data to the intelligent terminal. And the intelligent terminal feeds back required second characteristic data based on the received first characteristic data. The cloud server analyzes the second characteristic data and determines at least one object to be managed related to the second characteristic data, cross-compares the third characteristic data of the at least one object to be managed acquired by the acquisition device in real time with the second characteristic data, selects the action state of the at least one object to be managed with high correlation degree with the second characteristic data and the third characteristic data of the at least one object to be managed with high correlation degree with the second characteristic data, and sends the action state and the third characteristic data to the intelligent terminal.

Example 1

The invention provides a digital cloud service platform, as shown in fig. 1, the digital cloud service platform comprises a cloud server 10, at least one acquisition device 20 and at least one intelligent terminal 30. The cloud server 10, the acquisition device 20 and the intelligent terminal 30 are connected in a wireless manner. For example, wireless connection is made by wireless signals wifi, iBecon, Zigbee, Enocen, and the like.

The acquisition device 20 includes at least a camera device and a sensing device. The sensing device at least comprises a temperature sensor, a light sensor, a humidity sensor, a gas sensor, an infrared sensor and an ultraviolet sensor. These acquisition devices each have a name described in natural language. When acquiring data, the acquisition devices 20 may associate the data with the name described in natural language of the respective acquisition device 20. The collected data can be stored separately in the cloud or within the collection device 20. These collected data may be respectively associated with names described in natural language of the collection devices 20 when stored in the cloud server 10. The user or other data server can accurately retrieve the desired data based on the two retrieval conditions of time and name of the acquisition device 20. The action trend of the present invention refers to the action development trend, and also refers to the general direction of action change. Therefore, the feature data acquired by the acquisition means 20 has a position information mark described in a natural language.

Preferably, the acquisition device 20 identifies the identity attribute of the object to be managed in the acquisition area, and records the acquired data information of the object to be managed as the feature data with the position information mark described in the natural language. Specifically, when the object to be managed is in the acquisition area of the acquisition device 20, the acquisition device 20 acquires data information of the object to be managed, and identifies the identity attribute of the object to be managed. The data information acquired by the acquisition device 20 for the object to be managed appearing in the acquisition area includes an appearance image, physiological characteristic information, temperature information, position information, time information and recognizable bar code data information. The acquisition device 20 adds the geographic position mark described in the natural language to the data information to be recorded, and then uploads the data information to the cloud server 10.

Objects to be managed of the present invention include a person, a robot, an animal, an object, a shop, and a service institution. The object includes a stationary object and a moving object.

The cloud server 10 receives and stores the feature data of the object to be managed described in the natural language recorded and transmitted by the acquisition device 20 in an unordered manner. The cloud server 10 of the present invention does not require a data management module to manage data. The data stored in the cloud server 10 of the present invention is stored in the information storage unit in an unordered manner, and after the intelligent terminal 30 sends the demand information, the data related to the demand information is selected and sent to the intelligent terminal 30. The data storage method of the present invention can reduce data processing procedures, thereby improving the storage efficiency of the cloud server 10.

The cloud server 10 associates physical relationships between objects to be managed in an adaptive manner and/or a competitive manner based on the characteristic data.

For example, the cloud server 10 determines that the geographic position of the first object to be managed is a according to the feature data of the first object to be managed, and associates the first object to be managed with the geographic position a. The cloud server 10 determines that the geographic location of the second object to be managed is also a according to the feature data of the second object to be managed. The cloud server 10 reconfirms the feature data of the first object to be managed and the feature data of the second object to be managed, reconfirms the geographic position of the first object to be managed to be AA, disassociates the first object to be managed from the geographic position a, and associates the second object to be managed with the geographic position a. The association method for the objects to be processed can reduce the steps of data processing, correct data under the condition that the objects to be managed have competition relations, do not need to process a large amount of data in advance, and ensure that the data stream of the cloud server 10 can be stored and extracted quickly.

Preferably, the cloud server 10 determines an abnormal action state of the object to be managed based on the feature data acquired by the acquisition device 20 and the physical attribute of the object to be managed, and sends an alarm to the smart terminal 30 associated with the object to be managed having the abnormal action state.

The cloud server 10 prestores physical attributes of objects to be managed and identity attributes thereof. The abnormal behavior state refers to a behavior state in which the cloud service judges that the behavior and action trend of the object to be managed do not conform to the physical attribute and/or the identity attribute of the object to be managed according to the stored related data of the object to be managed. For example, the cloud server 10 identifies the person as a repair person based on the figure and the number on the clothing collected by the collection device 20, and the cloud server 10 searches for data related to the repair person to determine that the task location of the repair person is at residence No. 3. But the data collected by the collection device 20 indicates that the repair person is present at the doorway of house number 5 and is ready to open the door of house number 5. The behavior of the repair person does not coincide with the relevant data retrieved by the cloud server 10, and thus the behavior state of the repair person is an abnormal behavior state.

For example, the cloud server 10 identifies whether the object to be managed belongs to a human, a robot, an animal, or an object, from the feature data transmitted from the acquisition device 20. The cloud server 10 recognizes that the object to be managed is a cat moving by integrating the image information, the temperature information and the movement track, and belongs to an animal. The cloud server 10 determines that the raising of animals is prohibited in the building where the acquisition device 20 is located, based on the stored data. Therefore, the cloud server 10 determines that the cat belongs to the object to be managed in the abnormal behavior state. The cloud server 10 sends an alert to the smart terminal 30 of the property personnel associated with handling the animal with the abnormal action. The cloud server 10 sends abnormal objects to be managed to the intelligent terminal 30 of the property personnel as cats and position information and time information of the cats in a natural language description mode.

Preferably, the cloud server 10 retrieves the first feature data related to the request information collected by the collection device 20 based on the request information described in the natural language of the smart terminal 30, and sends the first feature data to the smart terminal 30. The intelligent terminal 30 feeds back the required second characteristic data based on the received first characteristic data. The cloud server 10 analyzes the second feature data and determines at least one object to be managed related to the second feature data, and the cloud server 10 cross-compares the third feature data of the at least one object to be managed acquired by the acquisition device 20 in real time with the second feature data, selects the action state of the at least one object to be managed with a higher degree of correlation with the second feature data and the third feature data thereof, and sends the action state and the third feature data thereof to the smart terminal 30.

For example, the user transmits request information described in a natural language to the cloud server 10 through the smart terminal 30 held by the user. The request message may be "pet cat repairs hair". The cloud server 10 retrieves the first feature data related thereto based on the request information. The first feature data is acquired by the acquisition device 20 and transmitted to the cloud server 10. The first characteristic information may be information such as "pet store, pet hospital, barber shop, pet supply supermarket", and the like. The user feeds back the required second characteristic data for the first characteristic data received by the intelligent terminal 30. The second characteristic data may be "pet store, cut hair". The cloud server 10 analyzes the pet store and the pet hospital, and determines that the object to be managed required by the user is the pet store. The cloud server 10 retrieves the third characteristic data of the at least one pet store collected by the collection device 20 in the vicinity based on the position information of the smart terminal 30. The third characteristic data may be "how busy the pet store is, service items of the pet store, evaluation of the pet store, other users who are served by the pet store, a real-time busy status curve of the pet store". The cloud server 10 cross-compares the third characteristic data with the second characteristic data, selects at least one pet store that provides hair repair, and transmits the third characteristic data of the pet store to the smart terminal 30. The third feature data may be feature data such as "service time of pet store, service technician, service evaluation, number of persons served".

According to a preferred embodiment, the cloud server 10 calculates and judges the behavior state and the action trend of the object to be managed based on the first feature data having the position information mark described in the natural language collected by the collecting device 20, analyzes the action track and the action trend of the object to be managed and the action matching parameters of the action features possessed by the physical attributes and/or the identity attributes of the object to be managed, and judges the abnormal action state of the object to be managed if the action matching parameters are lower than a preset action matching threshold.

For example, the user sends a request to the cloud server 10 through the smart terminal 30, the request being a geographic location "a number 3/8 doorway area" described in natural language. The cloud server 10 selects the first feature data collected in real time by the collecting device 20 related to the geographic position and sends the first feature data to the intelligent terminal 30. The first characteristic data has a geographical position signature of the acquisition device 20 described in natural language. The cloud server 10 identifies the A-span No. 3/layer No. 8 doorway area according to the first feature data, and finds that giant dogs appear in the A-span No. 3/layer No. 8 doorway area. The cloud server 10 transmits the first feature data such as the movement data, the image data, and the size of the giant dog to the intelligent terminal 30. The cloud server 10 judges the behavior state and the action trend of the giant dog according to the first characteristic data. Behavioral states include standing, lying down, moving, etc. The action trend comprises repeated moving, leaving, staying and other trends. The cloud server 10 judges that the user and the resident nearby the user have not raised pets based on the identity attribute data stored by the a-span 3-layer 8-number user. The action matching parameter of the action characteristic data of the giant dog and the data of the A-span 3-layer 8 user is zero. The action matching parameter is lower than a preset action matching threshold. The cloud server 10 determines that the giant dog is an object to be managed in an abnormal behavior state. The cloud server 10 transmits alarm information to the relevant smart terminal 30. The related intelligent terminals 30 include an intelligent terminal 30 responsible for a secured property and an intelligent terminal 30 transmitting request information.

According to a preferred embodiment, the cloud server 10 selects at least one object to be managed based on the intersection of the temporal information and/or the spatial information of the third characteristic data and the second characteristic data. And the cloud server 10 marks the objects to be managed in a community three-dimensional building model instantiated by a data model in a graphic and/or color mode based on the time information and/or the space information provided by the intelligent terminal 30 associated with the objects to be managed.

For example, if the third feature data and the second feature data have an intersection of temporal information and/or spatial information, the cloud server 10 selects an object to be managed to which the intersected temporal information and/or spatial information belongs. The more temporal information and/or spatial information of the intersection, the more objects to be managed are selected. The cloud server 10 graphically and/or color marks the selected objects to be managed in the three-dimensional building model of the community instantiated by the data model. The user views the position and the state of the object to be managed through the intelligent terminal 30, so that the third characteristic data can be fed back conveniently.

According to a preferred embodiment, the cloud server 10 determines identity attributes, behavior states and/or action trends of the objects to be managed based on the characteristic data analysis described in natural language collected by the collection device 20, and graphically and/or coloristically marks the objects to be managed in a community three-dimensional building model instantiated by a data model based on the time information and/or the space information provided by the smart terminal 30 held by the objects to be managed.

For example, the user retrieves a public service organization through the smart terminal 30. The cloud server 10 analyzes and stores the feature data of at least one public service institution based on the feature data collected by the collection device 20. The cloud server 10 determines that the retrieved object to be managed is a public service organization with an identity attribute based on the request of the intelligent terminal 30. The cloud server 10 determines the service operation state and the service trend of the public service institution according to the characteristic data acquired by the acquisition device 20. The cloud server 10 graphically and/or color marks at least one public service institution in the community three-dimensional building model instantiated by the data model based on the provided time information and/or space information of the intelligent terminal 30 held by the public service institution. Preferably, the cloud server 10 graphically and/or coloristically marks the location of the public service organization, the service status, and the service trends in the three-dimensional building model of the community instantiated by the data model. The user clearly determines the position, service state and service trend of at least one public welfare service institution through the screen of the intelligent terminal 30, and can obviously compare the difference of the position, service state and service trend of the public welfare service institution.

According to a preferred embodiment, the cloud server 10 verifies the identity attribute and the behavior authority of the object to be managed based on the behavior state data and/or the action trend data of the object to be managed monitored by the acquisition device 20 or the smart terminal 30, and pushes feature data related to the behavior trend data of the object to be managed to the smart terminal 30 held by the cloud server according to the identity attribute and the behavior authority of the object to be managed.

For example, the cloud server 10 determines that the object to be managed is a person and the behavior state is staying in the collection area based on the characteristic data such as temperature data, image data, and body characteristics collected by the collection device 20 of the a-frame 3-floor No. 8 doorway area. The portrait of the person acquired by the acquisition device 20 is consistent with the portrait of the property personnel, and if the clothing has the code of the property personnel, the cloud server 10 judges that the object to be managed is the property personnel. The cloud server 10 retrieves the service of the property person, and determines that it has the right to enter the defined area. The cloud server 10 pushes feature data related to behavior trend data to the intelligent terminal 30 held by the property personnel according to the identity attribute and the behavior authority of the property personnel. The characteristic data may be a "security authentication password".

According to a preferred embodiment, the cloud server 10 instantiates the object to be managed into the three-dimensional building model pre-established by the modeling unit in an adaptive manner and/or a competitive manner based on the spatial information described in the natural language of the object to be managed so as to realize the position matching of the object to be managed and the three-dimensional building model.

According to a preferred embodiment, in a case where the first object to be managed intersects with the second object to be managed in space and time, the cloud server 10 records information in a time-dependent manner based on information provided by the smart terminal 30 held by the first object to be managed and/or the second object to be managed in the space and time intersection, and determines a third object to be managed related to the information based on attributes of the first object to be managed and the second object to be managed, and the cloud server 10 identifies the third object to be managed and the information related to the third object to be managed.

For example, a first user and a second user have accepted the organizations of the same service organization with an intersection of spaces. The cloud server 10 records information, that is, service time, in a time-dependent manner according to the attribute of the first user and the attribute of the second user. The cloud server 10 determines that the organization serving the first user and the second user is the third object to be managed. The cloud server 10 displays the service organization and information related to the service organization in the form of a graph and/or a color in the three-dimensional building structure.

According to a preferred embodiment, the cloud server 10 generates information to be pushed that meets the query condition of the intelligent terminal 30 according to feature data included in spatial information described in a natural language and at least one attribute feature of an object to be managed corresponding to the spatial information, and pushes the information to be pushed to the intelligent terminal 30 held by the object to be managed corresponding to the spatial information.

For example, the user transmits query condition information including characteristic data in spatial information described in a natural language through the smart terminal 30. A user queries a clothing store of a certain brand. The cloud server 10 generates at least one women's clothing shop of a fashion style related or close to a brand according to an attribute feature of the user, for example, "women aged 20 to 25 years". The cloud server 10 transmits the generated women's clothing stores and the related information thereof to the smart terminal 30. The relevant information may be service attitude, customer rating parameters, address, business hours, etc.

The cloud server 10 sets the identifier of the object to be managed for the feature data fed back by the intelligent terminal 30 and stores the identifier in the information storage unit.

After the user feeds back the received feature data through the intelligent terminal 30, the intelligent terminal 30 marks the feature data selected by the user with a unique identifier of the feature data and sends the feature data to the cloud server 10. When the user performs the relevant retrieval again, the cloud server 10 has limited selection of information with the user-specific identification to be sent to the intelligent terminal 30.

Preferably, the cloud server 10 stores the image data, the environment data and/or the state data of the object to be managed, which are acquired by the acquisition device 20, and marks the image data, the environment data and/or the state data of the object to be managed in the three-dimensional building in a form of graphics, colors and/or characters and pushes the image data, the environment data and/or the state data of the object to be managed to the corresponding intelligent terminal 30.

Preferably, the cloud server 10 counts the probability of the behavior trend or the state trend of the object to be managed based on the feature data which is acquired by the acquisition device 20 and has an intersection with the time information and the spatial information of the object to be managed, and pushes the feature data required by the object to be managed to the corresponding smart terminal 30 based on the probability and the request information of the smart terminal 30, and the smart terminal 30 marks the feature data selected by the object to be managed and feeds the feature data back to the cloud server 10.

For example, the user issues a request to query a barbershop through the smart terminal 30. The cloud server 10 selects at least one barber shop that is close to the user based on the geographical location information of the user and the geographical location information of the barber shop collected by the collecting device 20, and determines the selection probability of the barber shop that the user is likely to select based on the service of the barber shop that the user has accepted and the service evaluation given. The cloud server 10 pushes at least one barber shop with a high selection probability as feature data to the intelligent terminal 30 of the user according to the selection probability. After the user makes a selection of at least one barber shop through the smart terminal 30, the smart terminal 30 identifies his own label for the barber shop selected by the user and transmits it to the cloud server 10. The cloud server 10 transmits more information related to the barber shop for the feedback barber shop.

Example 2

This embodiment is a further improvement of embodiment 1, and repeated contents are not described again.

A digital cloud service platform comprises a modeling unit and an information storage unit. The modeling unit is used for instantiating the data model into a three-dimensional building model based on the building space information. The management server is used for setting the identification for the information. The information storage unit is used for storing information of the three-dimensional building model and other objects to be managed. Preferably, the information storage unit is further configured to store the information of the object to be managed and the collection time collected by the intelligent terminal.

Preferably, the management server sends a spatial information mark and/or a data record formed after the modeling unit establishes the three-dimensional building model based on the building spatial information to an information storage unit for storage, and sends a three-dimensional graphic model corresponding to the information mark and/or the data record to the intelligent terminal for storage. Or the modeling unit directly sends a spatial information mark and/or a data record formed after the three-dimensional building model is established based on the building spatial information to the information storage unit for storage, and sends the three-dimensional graphic model corresponding to the information mark and/or the data record to the intelligent terminal for storage through the management server.

Preferably, the intelligent terminal is connected with the digital cloud service platform in a wired and/or wireless mode. The intelligent terminal is used for collecting information of an object to be managed and sending the collected information and the collection time to the digital cloud service platform for storage. The intelligent terminal is also used for displaying the running condition of the object to be managed in an intuitive mode. Preferably, the intelligent terminal is an intelligent device such as a mobile phone and a computer.

According to a preferred embodiment, the way in which the modelling unit instantiates the data model as a three-dimensional building model comprises:

s1: a building related to an object to be managed is selected from a plurality of preset three-dimensional building models, and a name described in a natural language is assigned to the selected three-dimensional building model.

According to a preferred embodiment, the preset three-dimensional building model is built by: the modeling unit loads an electronic map or a CAD graph of a building of a certain region as a base map, and a two-dimensional map corresponding to the building of the region is established based on the base map. And then the modeling unit completes the building three-dimensional model establishment on the two-dimensional map based on the building space information, and assigns the name of the natural language description to the three-dimensional building model. The natural language is a daily description language which is separated from professional descriptions such as longitude, latitude, altitude and the like. For example, a natural language location for room a is described as a certain room on a certain floor of a certain building number in a certain cell of a certain street. For example, the three-dimensional building model is given names such as 2 buildings in the A area, XX buildings, XX squares and the like which conform to the daily use habits of community residents.

Preferably, the two-dimensional map created by the modeling unit only geometrically corresponds to the two-dimensional geographical state of the area in which the building is located. Preferably, the two-dimensional map corresponds proportionally to the actual geographical distribution of the territory in which the building is located. Preferably, the building space information is uploaded to the digital cloud service platform through the intelligent terminal. The building space information comprises information such as the number of floors, the number of rooms on each floor, and the building position. And the modeling unit instantiates the building to the corresponding position of the two-dimensional map in a mode of the same scale as the two-dimensional map based on the building position information, so as to realize the establishment of the three-dimensional model.

According to a preferred embodiment, the three-dimensional building model constructed by the invention comprises three-dimensional building appearance and three-dimensional building internal structure. The internal pattern of the three-dimensional building comprises building patterns such as rooms, corridors, emergency channels and the like. The three-dimensional building model comprises data information of the data model and a three-dimensional graph model. The three-dimensional graphic model provides a overlooking visual angle, a perspective visual angle and a 360-degree all-dimensional visual angle for checking the position information of the building floor. The data information of the data model comprises information such as building positions, building floor numbers, the number of rooms corresponding to each floor of each building and the like.

According to a preferred embodiment, the intelligent terminal stores a plurality of image information, in particular all three-dimensional models, locally. When the intelligent terminal inquires the building space information, the digital cloud service platform responds to the inquiry of the building information, and the management server pushes model data information (such as a section of code) corresponding to the three-dimensional building model to the intelligent terminal. And the intelligent terminal inquires and determines a corresponding three-dimensional building model based on the model data information, calls the corresponding three-dimensional building model from a locally stored three-dimensional model library and then displays the three-dimensional building model on a display of the intelligent terminal. Therefore, downloading of a huge amount of image information from the digital cloud service platform is avoided, and local display of the intelligent terminal is accelerated.

S2: an adaptive method is used to generate a first physical relationship between a first object to be managed and a first building and the first physical relationship is recorded by means of a natural language description.

The object to be managed in the present invention may be a resident, a vending machine, or a pipe well, or may be an elevator or a trash. The building may be a hospital, school, factory, residential building or department store.

According to a preferred embodiment, the intelligent terminal embeds the object to be managed in a corresponding position of the three-dimensional building model in a graphic mode in an adaptive mode based on natural language description input by an operator and aiming at the object to be managed. At this time, the intelligent terminal may search and determine the graphic position of XX hospital according to the natural language description in the map read by the intelligent terminal according to the retrieval condition of "XX hospital 2509 room", and then insert the graphic position of XX hospital into the 25-layer position in the three-dimensional image according to the natural language description of "2509 room". A first physical relationship between the first object to be managed and the first building is thus generated. And the management server receives the first physical relation recorded by the natural language description and sends the first physical relation to the information storage unit for storage. For example, the first physical relationship is described as a description that fitness equipment is located in room number 101 of a fitness room, public telephones are located in a hall of each cell, a resident a is located in two places 2509 of the a area, and the like, which accords with the daily use habits of community residents. The objects to be managed are people and things to be managed in an intelligent community or an intelligent building. Preferably, the object to be managed is embedded in the three-dimensional building model in an image, the graphical position representing the position of the object to be managed.

According to a preferred embodiment, the adaptive algorithm of the present invention includes, but is not limited to, a randomization algorithm, a zero-forcing algorithm, a steepest descent algorithm, L MS algorithm, R L S algorithm, and various blind equalization algorithms, etc. the adaptive algorithm may more preferably be a description-based matching algorithm that matches one object of two finite sets one-by-one to an object of another unknown number and size set according to a natural language description.

S3: describing a second physical relationship between at least one second object to be managed and the first building by adopting a competition method on the premise of considering the first physical relationship, and recording the second physical relationship by utilizing natural language description.

According to a preferred embodiment, the intelligent terminal sends the first physical relationship between the first object to be managed and the first building to an information storage unit of the digital cloud service platform for storage. The modeling unit describes a second physical relationship between at least one second object to be managed and the first building by a competition method under the condition that the first physical relationship is considered, and records the second physical relationship by using natural language description. The modeling unit finds out at least one second object to be managed which is the same as the building where the first object to be managed is located according to analysis of natural language description of the object to be managed, and adaptively embeds the at least one second object to be managed into a second corresponding position of the three-dimensional building model based on the natural language description of the at least one second object to be managed. Thus, a second physical relationship between a second object to be managed and the first building is generated. And the modeling unit records the second physical relationship through natural language description and sends the second physical relationship to the information storage unit for storage.

S4: the physical relationship between the first object to be managed and the first building is analyzed through information subscribed from the intelligent terminal held by the first object to be managed.

According to a preferred embodiment, the process of analyzing the information subscribed at the intelligent terminal by the modeling unit comprises:

s4.1: and calculating the internal positions of at least two buildings with the closest physical relationship of the first object to be managed by analyzing the position information and the information pushing time obtained by subscription.

And the information obtained by subscription at least comprises the position information and the information pushing time of the intelligent terminal.

According to a preferred embodiment, the modeling unit sends subscription request information to the intelligent terminal held by the first object to be managed, and requests to subscribe to the position information of the first object to be managed. And the intelligent terminal receives the subscription request of the modeling unit and sends the position information of the first object to be managed after moving and the stay time information corresponding to the position information to the modeling unit at the specified time. The position information of the present invention is position information that the first object to be managed can stay at a position for more than a defined time. The defined time may be preset. For example, the defined time may be 0.5 hour, 1 hour, 2 hours, or longer.

According to a preferred embodiment, the subscriptions include electronic subscriptions and physical subscriptions. For example, the physical subscription involves information including a subscribing user, an address, a subscription time, a push time per day, and the like. The first object to be managed may set one or more address information based on the push time of the subscription each day. That is, the subscribed material object providing units are delivered to different positions set by the first object to be managed based on different delivery times. The different location information may be a living location, a working location, a leisure and recreation location, etc. of the object to be managed.

According to a preferred embodiment, the modeling unit selects the location information and the stay time information of the first object to be managed staying in the first building according to the location information, the stay time information and the information push time of the first object to be managed in the first building, which are obtained through subscription, and obtains at least two building internal locations which are in the closest physical relationship with the first object to be managed. For example, the first object to be managed appears most frequently at the position of room a in the first building, and stays for the longest time each time in room B in the first building. The a room and the B room are the internal positions of the two buildings that are in the closest physical relationship with the first object to be managed.

S4.2: at least two building interior locations of the first object to be managed are graphically embedded in a three-dimensional building model.

According to a preferred embodiment, the at least two building interior positions of the first object to be managed can be embedded graphically in the three-dimensional building model. The graphics include geometric graphics and color pictures. The graphics include two-dimensional graphics and three-dimensional graphics. The two-dimensional graphics may be simple geometric graphics, logo graphics, and two-dimensional color pictures. The three-dimensional graphics include graphics that are visually perceived as three-dimensional spatial graphics and colored three-dimensional graphics. Preferably, the graph may be a unique graph having a one-to-one mapping relationship with the first object to be managed, or may be a unique graph having a correspondence relationship with a position in the building. Alternatively, the graphic may be a landmark graphic representing a certain place.

For example, a graphic having a mapping relationship with a first object to be managed is embedded in at least two internal locations in a three-dimensional building model of a first building in close physical relationship therewith. When the mobile terminal requests the cloud server side to check the distribution situation of the management objects of the whole building, the modeling unit responds to the request of the intelligent terminal and sends data of each indoor position in the specified building to the three-dimensional building model of the intelligent terminal. The graphics of all the management objects within the specified building are displayed at the corresponding locations of the three-dimensional building model. By specifying the display graphics in the three-dimensional building model of the building, the positions of the respective management objects can be determined.

For example, the graph has a mapping relationship with a location within a building. The intelligent terminal sends request information for searching the management object to the modeling unit, and the modeling unit responds to the request information of the intelligent terminal and sends information related to the management object to the intelligent terminal. The graphics of the two geographical locations closely associated with the management object are displayed at corresponding locations of the three-dimensional building model of the building.

According to a preferred embodiment, the building internal position is embedded in a graph mode, namely the modeling unit embeds a two-dimensional graph or a three-dimensional graph established based on the geographic position description information of the first object to be managed subscription information into a corresponding position in the first building model marked by the first object to be managed.

S4.3: and distributing at least two building internal positions which are determined by analyzing the subscription information of the at least one second object to be managed and have the closest physical relationship with the at least one second object to be managed to the three-dimensional building model under the premise of considering the second physical relationship between the at least one second object to be managed and the first building, so as to realize the position matching of the objects to be managed and the three-dimensional building model.

The invention checks and verifies the positions of the objects to be managed in the three-dimensional building model through searching data conflicts, and repeatedly adjusts to accurately determine the specific positions of all the objects to be managed. When the management method and the management system manage the objects to be managed, a database does not need to be established in advance, and requirements on networks and equipment are greatly reduced.

According to a preferred embodiment, the invention takes a random algorithm as an example to explain how to adopt a competition method to embed the object to be managed into the corresponding position of the three-dimensional building model. For example, the address filled by the first object to be managed is two a zones 25a09, and a09 is divided into one of the two a zones 25. And then based on the analysis of the natural language description of the objects to be managed, at least one second object to be managed which is the same as the building where the two buildings 25A09 in the A area are located is found. According to the method, another address is found: the two A-zones 2509 divide 09 into one of the 25 levels of the two A-zones, and when the position is found to be occupied, a query request is sent to the modeling unit to check the two A-zones. By checking, it is found that 25a09 should be in space number 09 at 24 levels, and the modeling unit adjusts the positions of the two accordingly. According to the method, the matching of the spatial position information of each object to be managed is completed.

According to a preferred embodiment, the intelligent terminal collects the information of the object to be managed and sends the information of the object to be managed and the collection time to the information storage unit for storage. Preferably, the information of the object to be managed collected by the intelligent terminal includes time information, space information, basic information and the like of the object to be managed, and time information, space information, basic service information, functional information, occupation state information, self-demand information and the like of the device to be managed or the service provider. The information of the object to be managed collected by the intelligent terminal also comprises various dynamic information related to residents of the community to be managed, equipment to be managed or a service provider. Such as the progress of a community event. Preferably, the information storage unit stores four-dimensional data. The four-dimensional data at least comprises three-dimensional space information and one-dimensional time information of the object to be managed, which are acquired by the intelligent terminal.

According to a preferred embodiment, the management server searches the object to be managed based on the natural language input by the intelligent terminal and related to the object to be managed. For example: when the intelligent terminal inputs the two A areas 25A09, the management server pushes the data records related to the two A areas 25A09 to the intelligent terminal and displays the data records on the display of the intelligent terminal. The information storage unit stores the four-dimensional data management server to search by using the time information and the space information related to the object to be managed, so that the searching efficiency can be improved. On the other hand, when the state of the object to be managed is checked, the data record related to the object to be checked can be called only by inputting the natural language description related to the object to be checked, the method is convenient to use and accords with the daily life habit, and the called data record is only related to the object to be checked, so that the situation of the object to be managed in an intelligent area can be checked and/or controlled in an intuitive mode at an intelligent terminal with limited capacity, limited network bandwidth and limited operation speed.

According to a preferred embodiment, in a case where the first object to be managed and the second object to be managed intersect with each other in space and time, the management server records information in a time-dependent manner based on information provided by a smart terminal held by the first object to be managed and/or the second object to be managed in the intersection with the space and time, and determines a third object to be managed related to the information based on attributes of the first object to be managed and the second object to be managed, and the management server identifies the third object to be managed and the information related to the third object to be managed.

The first object to be managed and the second object to be managed may have an intersection at the same time and the same geographical location. And the first object to be managed and the second object to be managed respectively feed back other information related to the service information to the management server through the intelligent terminal. And the management server receives the information pushed by the intelligent terminal and records the information in a time-related mode. And the management server judges a third object to be managed related to the information according to the attributes of the first object to be managed and the second object to be managed. For example, the first object to be managed and the second object to be managed are both customers who have received the service of the third object to be managed at the same time, and have a consumption attribute. And the management server judges that the third object to be managed is the service provider according to the consumption attributes of the first object to be managed and the second object to be managed. The management server sets corresponding marks for the information fed back by the first object to be managed and the second object to be managed, and adds a mark for the third object to be managed, so that the first object to be managed or the second object to be managed, the feedback information and the third object to be managed are associated.

Preferably, during the instantiation process of the data model, the management server assigns different colors and/or graphics to the at least one object to be managed to be embedded in the three-dimensional building model according to the property of the at least one object to be managed to be pushed. Wherein a color and/or a graphic to be given to the management object is stored in the information storage unit. And the management server pushes the map of the area where the intelligent terminal is located, the endowed color and/or graph and the three-dimensional building model to the intelligent terminal in a data packet mode.

Preferably, the management server generates information to be pushed that meets the query condition of the intelligent terminal according to feature information included in spatial information described in a natural language and in combination with at least one attribute feature of an object to be managed corresponding to the spatial information, and pushes the information to be pushed to the intelligent terminal held by the object to be managed corresponding to the spatial information. And the management server sets the identification of the object to be managed for the information fed back by the intelligent terminal and stores the identification in the information storage unit.

The information storage unit stores a large amount of complex information. A user sends a query request of spatial information described in a natural language through a held intelligent terminal. The management server receives an inquiry request of the intelligent terminal, and generates information to be pushed which accords with the inquiry condition of the intelligent terminal according to the characteristic information contained in the spatial information described by the natural language and by combining at least one attribute characteristic of an object to be managed corresponding to the spatial information. For example, a user queries a people's hot pot restaurant in the A district and the B district through the intelligent terminal. The management server selects at least one hot pot restaurant and service information thereof to form information to be pushed according to the characteristics of the 'people' hot pot 'in the spatial information and in combination with the people's parameters of all the restaurants providing hot pots in the area A and the area B. And the management server pushes the information to be pushed to the corresponding intelligent terminal. And the management server receives and sets the identifier of the object to be managed of the intelligent terminal aiming at the feedback information of the push information by the intelligent terminal, and stores the identifier in the information storage unit.

Preferably, the management server preferentially selects information with the object identifier to be managed from the information meeting the request condition of the object to be managed and calculates parameters related to the information based on the request of the object to be managed sent by the intelligent terminal. And determining the priority of the push information by referring to the parameters related to the information with the identification of the object to be managed.

The object to be managed may request the same or similar information multiple times. And the information finally selected or received by the object to be managed has a corresponding identification. And the management server selects information meeting the request condition of the object to be managed from the information storage unit based on the request of the object to be managed sent by the intelligent terminal. And then, preferentially calculating parameters related to the information with the identification of the object to be managed in the information meeting the request condition of the object to be managed. If the information with the identification and the related parameters thereof still accord with the query conditions of the object to be managed, the display sequence of the parameters related to the information with the identification of the object to be managed is arranged at the position with the priority ahead, so that the object to be managed can be selected again conveniently.

Preferably, the management server for setting the information identifier associates the data information uploaded or fed back by the object to be managed with the identifier information in the form of an identifier.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. A digital cloud service platform is characterized in that the digital cloud service platform comprises a cloud server, at least one acquisition device and at least one intelligent terminal,

the cloud server cross-compares the third characteristic data of the at least one object to be managed acquired by the acquisition device in real time with the second characteristic data, selects the action state of the at least one object to be managed with high correlation with the second characteristic data and the third characteristic data thereof, and sends the action state and the third characteristic data to the intelligent terminal;

the cloud server determines identity attributes, behavior states and/or action trends of the objects to be managed based on the characteristic data which are acquired by the acquisition device and described in natural language, and marks the objects to be managed in a community three-dimensional building model instantiated by a data model in a graphical and/or color mode based on time information and/or space information provided by an intelligent terminal held by the objects to be managed;

the cloud server prestores physical attributes of objects to be managed and identity attributes thereof,

the cloud server calculates and judges the behavior state and the action trend of the object to be managed based on first characteristic data which are acquired by an acquisition device and provided with position information marks and are described in natural language, analyzes action tracks and action trends of the object to be managed and action matching parameters of action characteristics of physical attributes and/or identity attributes of the object to be managed, and judges the abnormal behavior state of the object to be managed under the condition that the action matching parameters are lower than a preset action matching threshold value.

2. The digital cloud service platform of claim 1, wherein the cloud server comprises a modeling unit and an information storage unit, wherein the modeling unit is configured to build a three-dimensional building model based on the community building space information, send a space information tag and/or a data record of the three-dimensional building model to the information storage unit for storage, and send a three-dimensional graphic model corresponding to the information tag and/or the data record to the intelligent terminal for storage.

3. The digital cloud service platform of claim 2, wherein said cloud server selects at least one object to be managed based on an intersection of temporal information and/or spatial information of said third feature data and said second feature data, and

4. The digital cloud service platform of claim 3, wherein the cloud server verifies the identity attribute and the behavior authority of the object to be managed based on the behavior state data and/or the action trend data of the object to be managed monitored by the acquisition device or the smart terminal, and pushes feature data related to the behavior trend data of the object to be managed to the smart terminal held by the cloud server according to the identity attribute and the behavior authority of the object to be managed.

5. The digital cloud service platform of claim 4, wherein said cloud server instantiates said object to be managed into said three-dimensional building model pre-established by said modeling unit in an adaptive and/or competitive manner based on spatial information described in natural language of said object to be managed to achieve location matching of said object to be managed with said three-dimensional building model.

6. The digital cloud service platform of claim 5, wherein in a case where a first object to be managed intersects with a second object to be managed in space and time, the cloud server records information in a time-dependent manner based on information provided by a smart terminal held by the first object to be managed and/or the second object to be managed within the space and time intersection, and determines a third object to be managed related to the information based on attributes of the first object to be managed and the second object to be managed, and the cloud server identifies the third object to be managed and the information related to the third object to be managed.

7. The digital cloud service platform of claim 6, wherein the cloud server generates information to be pushed that meets query conditions of the smart terminal according to feature data included in spatial information described in a natural language and in combination with at least one attribute feature of an object to be managed corresponding to the spatial information, and pushes the information to be pushed to the smart terminal held by the object to be managed corresponding to the spatial information,

8. The digital cloud service platform of claim 7, wherein the cloud server stores the image data, the environment data and/or the state data of the object to be managed based on the image data, the environment data and/or the state data of the object to be managed acquired by the acquisition device, and graphically, coloristically and/or textually marks the image data, the environment data and/or the state data of the object to be managed in the three-dimensional building and pushes the image data, the environment data and/or the state data of the object to be managed to the corresponding intelligent terminal.

9. The digital cloud service platform of claim 8, wherein the cloud server counts probability of behavior trend or state trend of the object to be managed based on feature data which is acquired by the acquisition device and has intersection with time information and spatial information of the object to be managed, and pushes feature data required by the object to be managed to the corresponding intelligent terminal based on the probability and request information of the intelligent terminal, and the intelligent terminal marks the feature data selected by the object to be managed and feeds the feature data back to the cloud server.