CN106844699B

CN106844699B - Authorization method for service staff of intelligent community

Info

Publication number: CN106844699B
Application number: CN201710062513.9A
Authority: CN
Inventors: 胡荣强
Original assignee: Chengdu Aden Populus Euphratica Polytron Technologies Inc
Current assignee: Chengdu Aden Populus Euphratica Polytron Technologies Inc
Priority date: 2017-01-26
Filing date: 2017-01-26
Publication date: 2019-12-20
Anticipated expiration: 2037-01-26
Also published as: CN106844699A

Abstract

The invention relates to an authorization method for service staff of an intelligent community, which is characterized in that the intelligent community comprises an acquisition device, a cloud server, an intelligent terminal and a security module, the cloud server distributes service information to service personnel based on the service requirement of the intelligent terminal, and identifying the identity attribute of the service personnel and judging the change of the identity attribute of the service personnel based on the characteristic data of the service personnel collected by the collecting device, the security module sends a security verification request to the cloud server based on the authority request of the service person, the cloud server verifies the identity attribute of the service personnel and grants the authority to the service personnel based on the characteristic data which is acquired by the acquisition device and has time information and space information, the safety verification information sent by the safety module and/or the service permission information fed back by the intelligent terminal. The invention can simply and effectively authorize service personnel.

Description

Authorization method for service staff of intelligent community

Technical Field

The invention relates to the field of intelligent communities, in particular to an authorization method for service staff of an intelligent community.

Background

The intelligent community is an integrated application of new-generation information technologies such as the internet of things, cloud computing and the mobile internet, and provides a safe, comfortable and convenient modern and intelligent living environment for community residents, so that a community with a new management form based on informatization and intelligent social management and service is formed. The intelligent community comprises five aspects of a basic environment, a basic database group, a cloud exchange platform, an application and a service system thereof and a guarantee system.

Because the intelligent community needs to perform all-weather seamless management on each community, the management puts high requirements on the establishment and the updating of data and databases, and on one hand, personnel data and equipment data are randomly and dynamically changed; on the other hand, the number of residents in the cell is large, and the amount of data to be collected and stored is large. Therefore, when viewing users in a cell in the field by using a mobile terminal, a large amount of data often has to be called, and the calling of the large amount of data requires a large bandwidth, which is undoubtedly a great challenge for a 4G network and a 4G terminal. On the other hand, the mobile terminal has a limited storage capacity, and when dealing with a problem of a specific resident/resident, calling so much data causes a great waste of capacity. Therefore, in the existing intelligent community, how to use a mobile terminal device with limited capacity, limited network bandwidth and limited operation speed to view and/or control objects to be served in a specific building of the community in an intuitive manner exists, and a more scientific community management system and query method are urgently needed to establish a prototype of the intelligent community.

The intelligent community needs to manage and authorize service personnel. However, the existing authorization method carries out identity authentication by means of fingerprints and the like. However, security systems, such as door access systems, cannot distinguish the service area of the service person. After the access control system receives the fingerprint information of the service personnel, one service personnel can enter all areas and places of the intelligent community, so that the service personnel cannot be well managed, and a reasonable authorization range is given to the service personnel.

Chinese patent (CN 102682410B) discloses an employee authorization method based on housekeeping services, which is characterized in that: the method comprises the steps that at least one monitoring device, at least one home host, at least one home agent business terminal and a cloud server are required to be provided; the monitoring equipment comprises a fingerprint switch, monitoring equipment and door lock equipment; the home host is used for receiving and transmitting data information between the monitoring equipment and the cloud server; the household company merchant terminal comprises a fingerprint collector and a facial image information collector and stores detailed information of employees, and is connected to the cloud server; the cloud server is provided with: the home information storage stores basic information of a home company. The authorization method of the patent is only suitable for family authorization and is not suitable for authorization of a huge intelligent community. For an intelligent community, a simple and effective authorization method is urgently needed, so that service personnel can perform service within a definite service range, and the safety of the community is guaranteed.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides an authorization method for service staff of an intelligent community, wherein the intelligent community comprises a collection device, a cloud server, an intelligent terminal and a security module,

the acquisition device is provided with position information described by natural language and stores various acquired data in the cloud server in a way of being related to the position information of the acquisition device, wherein a user searches various data acquired by the corresponding acquisition device in a specified time range based on the position information described by the natural language of the acquisition device by an intelligent terminal capable of establishing data link with the cloud server,

the cloud server distributes service information to service personnel based on the service requirements of the intelligent terminal, identifies the identity attribute of the service personnel based on the characteristic data of the service personnel collected by the collecting device and judges the change of the identity attribute of the service personnel,

the safety module sends a safety verification request to the cloud server based on the authority request of the service personnel, and the cloud server verifies the identity attribute of the service personnel and grants the authority of the service personnel based on the characteristic data which is acquired by the acquisition device and has time information and space information, the safety verification information sent by the safety module and/or the service permission information fed back by the intelligent terminal.

According to a preferred embodiment, the cloud server analyzes the action trend of the service personnel based on the characteristic data of the service personnel with time information and space information and service information acquired by the acquisition device, and pushes correction information to an intelligent terminal held by the service personnel when the action trend of the service personnel is analyzed to be wrong;

the step of analyzing the action trend of the service personnel by the cloud server comprises the following steps:

predicting an action direction and at least one action route of the service personnel based on the service information and the position information of the service personnel; calculating real-time action direction and average speed formed by action tracks of the service personnel based on the time information and the space information acquired by the acquisition device and the characteristic data;

judging real-time action direction trend and action time of the service personnel based on a deviation angle between the predicted action direction and the real-time action direction;

and judging that the action trend of the service personnel is wrong under the condition that the deviation angle is larger than a deviation threshold value, and pushing at least one piece of correction information described in a natural language to an intelligent terminal held by the service personnel.

According to a preferred embodiment, the cloud server performs first identity attribute recognition on the service personnel based on first characteristic data with time information and space information sent by an intelligent terminal held by the service personnel and second characteristic data with time information and space information of the service personnel acquired by the acquisition device,

the cloud server carries out second identity attribute identification on the service personnel based on the safety verification information of the service personnel sent by the safety module,

and under the condition that the identity of the first identity attribute recognition is the same as that of the second identity attribute recognition, the cloud server confirms the identity attribute of the service personnel.

According to a preferred embodiment, the cloud server matches the service items of the service personnel with the identity attributes, and the service items are matched with the corresponding service requirement information with the time information and the space information, when the matching is successful, the cloud server pushes the identity attribute information and the service request of the service personnel to the intelligent terminal of the user, and the service personnel are granted the authority with the time information and the space information based on the service permission information fed back by the intelligent terminal.

According to a preferred embodiment, the cloud server sends service information to the intelligent terminal held by the matched service personnel based on the service requirement request of the intelligent terminal, and sends the identity attribute and the characteristic data of the service personnel to the security module associated with the service object,

the security module responds to an authority request sent by an intelligent terminal held by the service personnel and sends a security information verification request to the intelligent terminal, the security module matches the identity attribute information and the feature data provided by the intelligent terminal with the identity attribute and the feature data sent by the cloud server,

and the cloud server grants the authority with time information and space information to the intelligent terminal based on the information of successful matching of the security module.

According to a preferred embodiment, when the time information and the space information of the service personnel have an intersection, the cloud server changes the corresponding identity attribute of the service personnel meeting the service requirement condition and sends the identity attribute information and the service information to the intelligent terminal held by the service personnel based on the service requirement information sent by the intelligent terminal and the service state and the characteristic data of the service personnel,

the security module receives security verification information of an intelligent terminal held by the service personnel based on the authority request of the service personnel,

the cloud server matches the safety verification information sent by the safety module, identity attribute information identified based on the characteristic data collected by the collecting device and corresponding service demand information, and grants permission to an intelligent terminal held by the service staff when matching is successful.

According to a preferred embodiment, the cloud server compares first service data formed by analyzing the feature data collected by the collecting device with second service data formed by analyzing the feature data sent by the intelligent terminal, and if a difference value between the first service data and the second service data of a service person is greater than a threshold value, the first identity attribute identification of the cloud server confirms that the identity attribute of the service person changes and sends an permission prohibition instruction to the corresponding security module.

According to a preferred embodiment, the cloud server instantiates the service object into the community three-dimensional building model pre-established by the cloud server in a self-adaptive manner and/or a competitive manner based on the spatial information described in the natural language of the first service object and the at least one second service object collected by the intelligent terminal so as to realize the position matching of the service object and the three-dimensional building model.

According to a preferred embodiment, the cloud server marks the time information and the space information of the service personnel and the service state in the three-dimensional building model in a text, graph and/or color mode based on the characteristic data of the service personnel collected by the collecting device.

According to a preferred embodiment, the intelligent community is established by:

each building in the intelligent community is selected from a plurality of preset three-dimensional building models, and the selected three-dimensional building models are endowed with names described by natural language;

generating a first physical relationship between a first object to be served and a first building by adopting an adaptive method and recording the first physical relationship by virtue of natural language description;

describing a second physical relationship between at least one second object to be served 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;

the physical relationship between the first object to be served and the first building is obtained by analyzing information subscribed from an intelligent terminal held by the first object to be served;

the process of analyzing through the information subscribed from the intelligent terminal held by the first object to be served comprises the following steps:

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

calculating at least two building internal positions with the closest physical relationship of the first object to be served by analyzing the position information and the information pushing time obtained by the subscription,

at least two building interior locations of the first object to be serviced are graphically embedded in a three-dimensional building model,

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 served and have the closest physical relationship with the at least one second object to be served into the three-dimensional building model under the premise of considering the second physical relationship between the at least one second object to be served and the first building, so as to realize the position matching of the object to be served and the three-dimensional building model.

The invention has the beneficial technical effects that:

according to the intelligent community established by the method, residents can manage themselves without being controlled by a central controller, the method adopts a self-adaptive management method to embed the object to be served into the three-dimensional building model, the positions of the users to be served in the three-dimensional building model are determined by mutual check and verification in a cloud server through a competition method, data are not required to be orderly arranged and then are intensively stored in a central management system, and the establishment of a database is reduced. On the other hand, when the state of the user to be checked 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 use is convenient, and the daily life habits are met, and the called data record is only related to the object to be checked, so that the situation of the user to be checked in a specific community building can be checked and/or controlled in an intuitive mode at an intelligent terminal with limited capacity, limited network bandwidth and limited operation speed.

The authorization method for the service personnel of the intelligent community can simply and effectively authorize the service personnel, so that the service personnel can service in the limited service range of the intelligent community, and the safety of the community is guaranteed.

Drawings

FIG. 1 is a schematic block diagram of an intelligent community of the present invention; and

FIG. 2 is a schematic diagram illustrating the behavior trend of the service personnel according to the present invention.

Detailed Description

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

The invention provides an authorization method for service staff of an intelligent community. The cloud server distributes service information to the service personnel based on the service requirements of the intelligent terminal, and identifies the identity attribute of the service personnel and judges the change of the identity attribute of the service personnel based on the characteristic data of the service personnel, which is acquired by the acquisition device. The safety module sends a safety verification request to the cloud server based on the authority request of the service personnel, and the cloud server verifies the identity attribute of the service personnel and grants the authority of the service personnel based on the characteristic data which is acquired by the acquisition device and has time information and space information, the safety verification information sent by the safety module and/or service permission information fed back by the intelligent terminal. The authorization method for the service staff of the intelligent community comprises the following steps: the method comprises the steps of matching a three-dimensional position service range of an intelligent community based on preset identity attributes, responding to an authorization request of an intelligent terminal, carrying out identity authentication according to identity information collected by the intelligent terminal, generating an authorization code according to an identity authentication result, and sending the authorization code to the intelligent terminal and a safe intelligent terminal in the three-dimensional position service range.

The service personnel of the invention comprise intelligent robots and humans. The intelligent robot is provided with an intelligent terminal. The intelligent terminal comprises an intelligent terminal held by a service staff and an intelligent terminal held by the service staff. The acquisition device, the cloud server, the intelligent terminal and the safety module are in communication connection in a wireless mode. The safety module comprises a safety entrance guard device and a safety switch device which limit the entrance and exit of service personnel.

The acquisition device at least comprises 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 collecting data, the collection devices may associate the data with a name described in natural language of the respective collection device. The collected data can be independently stored in the cloud or stored in the collection device. The collected data may be associated with names of the collection devices described in the natural language, respectively, when stored in the cloud. The user or other data server can accurately retrieve the required data based on the two retrieval conditions of the time and the name of the acquisition device.

The action trend of the present invention refers to the action development trend, and also refers to the general direction of action change.

Example 1

The intelligent community at least comprises an intelligent terminal and a cloud server. The cloud server instantiates the object to be served into a community three-dimensional building model pre-established by the cloud server in a self-adaptive mode and/or a competitive mode based on spatial information which is acquired by the intelligent terminal and comprises the first object to be served and at least one second object to be served and is described in a natural language so as to realize position matching of the object to be served and the three-dimensional building model.

As shown in fig. 1, the smart community includes at least a cloud server and a smart terminal. The cloud server is used for building a three-dimensional model of the building of the community and storing information of the object to be served of the intelligent community. The intelligent terminal is used for collecting information of the object to be served and uploading the collection time to the cloud-end database for storage, and the intelligent terminal is also used for displaying information related to the object to be served.

According to a preferred embodiment, the cloud server comprises a modeling unit and an information storage unit. The modeling unit is used for establishing a three-dimensional building model based on the building space information of the community, sending the space information marks and/or data records of the three-dimensional building model to the information storage unit for storage, and sending the three-dimensional graphic model corresponding to the information marks and/or the data records to the intelligent terminal for storage. Preferably, the modeling unit is a three-dimensional digitizer, three-dimensional modeling software, an application specific integrated circuit or a single chip microcomputer and the like. The information storage unit is used for storing the spatial information marks and/or the data records of the three-dimensional building model. The information storage unit is also used for storing the information of the object to be served and the acquisition time acquired by the intelligent terminal. Preferably, the information storage unit is an application specific integrated circuit or a single chip microcomputer or the like.

According to a preferred embodiment, the intelligent terminal is connected with the cloud server in a wired and/or wireless mode. The intelligent terminal is used for collecting information of the object to be served in the community and sending the collected information and the collection time to the cloud server for storage. The intelligent terminal is also used for displaying the running condition of the object to be served in a visual mode. Preferably, the intelligent terminal is an intelligent device such as a mobile phone and a computer.

According to a preferred embodiment, the intelligent community is established as follows.

S1: each building in the intelligent community is selected from a plurality of preset three-dimensional building models, and the selected three-dimensional building models are assigned names described in natural language.

According to a preferred embodiment, the preset three-dimensional building model is built by: and a modeling unit of the cloud server loads an electronic map or a CAD graph of the intelligent community as a base map, and establishes a two-dimensional map corresponding to the intelligent community based on the base map. And then the modeling unit completes the establishment of a three-dimensional model of the community building on a two-dimensional map based on the space information of the community building, and assigns a name described by natural language 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 established by the modeling unit only geometrically corresponds to the two-dimensional geographic state corresponding to the intelligent community to be managed. Preferably, the two-dimensional map corresponds proportionally to the actual geographic distribution of the intelligent community. Preferably, the community building space information is uploaded to the cloud server through the intelligent terminal. The community building space information comprises information such as the number of floors, the number of rooms in each floor, the building position and the like. 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 of the community based on the building position information of the community, so as to realize the establishment of the three-dimensional model of the community.

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 includes model data information and a three-dimensional graphical model. The three-dimensional graphic model provides a overlooking visual angle, a perspective visual angle and a 360-degree all-directional visual angle for checking the position information of the building floor.

According to a preferred embodiment, the modeling unit sends model data information of the three-dimensional building model to the information storage unit of the cloud server for storage, and sends the three-dimensional graphic model corresponding to the model data information to the intelligent terminal for storage. The model data information comprises information such as building positions, building floor numbers and the number of rooms corresponding to each floor of the building.

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 cloud server responds to the inquiry of the building information, and the cloud server pushes the model data information corresponding to the three-dimensional building model to the intelligent terminal. For example, the model data information may be a piece of code. 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 large amount of image information from the cloud is avoided, and local display of the intelligent terminal is accelerated.

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

The object to be served 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 served to the corresponding position of the three-dimensional building model in a self-adaptive mode based on the natural language description of the object to be served, which is input by the operator. At this time, the intelligent terminal may determine the graphic position of XX hospital by using natural language description search according to the retrieval condition of "XX hospital 2509 room" in the intelligent community map read by the intelligent terminal based on the description of natural language, and then insert the graphic position of XX hospital into 25 layers of positions in the three-dimensional image according to the description of "2509 room" in natural language. A first physical relationship between the first object to be serviced and the first building is thus generated. The intelligent terminal records the first physical relation through 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 served are people and things to be managed in the intelligent community. Preferably, the object to be serviced is embedded in the three-dimensional building model in an image, the graphical position representing the position where the object to be serviced is located.

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, an LMS algorithm, an RLS algorithm, and various blind equalization algorithms. 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 set that is unknown in number and size according to the natural language description.

S3: a second physical relationship between the at least one second object to be served and the first building is described by adopting a competition method on the premise that the first physical relationship is considered, and the second physical relationship is recorded by utilizing natural language description.

According to a preferred embodiment, the intelligent terminal sends the first physical relationship between the first object to be served and the first building to the information storage unit of the cloud server for storage. The cloud server describes a second physical relationship between the at least one second object to be served and the first building by adopting a competition method under the premise that the first physical relationship is considered, and records the second physical relationship by utilizing natural language description. The cloud server finds out at least one second object to be served, which is the same as the building where the first object to be served is located, according to the analysis of the natural language description of the object to be served, and adaptively embeds the at least one second object to be served 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 served. A second physical relationship between the second object to be serviced and the first building is thus generated. And the intelligent terminal 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 served and the first building is analyzed through information subscribed from the intelligent terminal held by the first user. The process at least comprises the following steps:

s4.1: 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 cloud server sends subscription request information to an intelligent terminal held by a first user, and requests to subscribe the position information of the first object to be served. The intelligent terminal receives a subscription request of the cloud server, and sends the position information of the first object to be served after moving and the stay time information corresponding to the position information to the cloud server at the appointed time. The location information of the present invention is the location information that the first object to be served can stay at a location 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 subscription includes an electronic subscription and a physical subscription. For example, a physical subscription involves information including the subscribing user, address, time of subscription, time of push per day, and the like. The first user may set one or more address information based on the push time of the subscription each day. That is, the subscribed entity providing unit is delivered to a different location set by the first generation management object based on a different delivery time. The different location information may be a living location, a working location, a leisure and recreation location, etc. of the representative management object.

S4.2: and calculating the internal positions of at least two buildings with the closest physical relationship of the first object to be served by analyzing the position information and the information push time obtained by subscription.

According to a preferred embodiment, the cloud server selects the location information and the stay time information of the first object to be served 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 served 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 served. For example, the first object to be served 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. Room a and room B are the interior locations of the two buildings that are in the closest physical relationship to the first object to be serviced.

S4.3: at least two building interior locations of the first object to be serviced are graphically embedded in the three-dimensional building model.

According to a preferred embodiment, the at least two building interior positions of the first object to be served 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 served, or may be a unique graph having a corresponding 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 serviced is embedded in at least two interior locations in a three-dimensional building model of a first building in close physical relationship thereto. When the intelligent terminal requests the cloud server side to check the distribution condition of the management objects of the whole building, the cloud server responds to the request of the intelligent terminal and sends data of each indoor position in the appointed 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 cloud server side, the cloud server side responds to the request information of the intelligent terminal, and information related to the management object is sent 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 cloud server embeds a two-dimensional graph or a three-dimensional graph established based on the geographic position description information of the first object to be served subscription information into a corresponding position in a first building model marked by the first object to be served.

S4.4: and under the premise of considering a second physical relationship between the at least one second object to be served and the first building, distributing at least two building internal positions which are determined by analyzing the subscription information of the at least one second object to be served and have the closest physical relationship to the at least two building internal positions into the three-dimensional building model, thereby realizing the position matching of the object to be served and the three-dimensional building model.

According to the method, by searching for data conflicts, the positions of the objects to be served in the three-dimensional building model are mutually checked and verified in the cloud server, and the positions are repeatedly adjusted to accurately determine the specific positions of all the objects to be served in the intelligent community. When the intelligent system manages the intelligent community, a database does not need to be established in advance, and the requirements on the network and the 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 served into the corresponding position of the three-dimensional building model. For example, the first object to be served fills in the address of two A areas 25A09, and the A09 is divided into one space of the two A areas 25. Then, based on the analysis of the natural language description of the object to be served, at least one second object to be served 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 pieces of 2509 in the a area divide 09 into one of the 25 layers of the two pieces of a area, and when the position is found to be occupied, an inquiry request is sent to the cloud server to check the two pieces of a area. By checking, it is found that 25a09 should be in space number 09 at 24 layers, and the cloud server adjusts the positions of the two accordingly. According to the method, the matching of the spatial position information of each object to be served in the community is completed.

According to a preferred embodiment, the intelligent terminal collects information of the object to be served and sends the information of the object to be served and the collection time to the information storage unit of the cloud server for storage. Preferably, the information of the object to be serviced acquired by the intelligent terminal includes time information, space information, basic information and the like of the residents of the community 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 served acquired through 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 of the cloud server 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 served, which are acquired by the intelligent terminal.

According to a preferred embodiment, the cloud server searches the object to be served based on the natural language related to the object to be served, which is input through the intelligent terminal. For example: when the intelligent terminal inputs the two A areas 25A09, the cloud 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 of the cloud server stores four-dimensional data, and the cloud server searches by using time information and space information related to the object to be served, so that the searching efficiency can be improved. On the other hand, when the state of the object to be served 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 use is convenient, and the daily life habits are met, and the called data record is only related to the object to be checked, so that the intelligent terminal with limited capacity, limited network bandwidth and limited operation speed can check and/or control the condition of the object to be served in the specific community building in an intuitive mode.

Example 2

This embodiment is a further improvement and description of embodiment 1, and the same parts will not be described again.

The intelligent community of this embodiment includes collection system, cloud ware, intelligent terminal and security module. And the cloud server distributes service information to service personnel based on the service demand information of the intelligent terminal. And the user sends the service demand information to the cloud server through the intelligent terminal. The cloud server selects service personnel meeting the requirement conditions according to the service requirement information, and sends the service information to the intelligent terminal held by the service personnel. And the service personnel feeds back the service information through the intelligent terminal and sends information whether to receive service distribution to the cloud server. And if the service personnel refuse to accept the service distribution through the intelligent terminal, the cloud server reselects the service personnel after receiving the refusal information.

The cloud server identifies the identity attribute of the service personnel and judges the change of the identity attribute of the service personnel based on the characteristic data of the service personnel acquired by the acquisition device.

The feature data is feature data having temporal information and spatial information. The characteristic data comprises parameters such as an action path, a stop geographic position, service time, a service place, service efficiency, mechanical parameters of the intelligent robot, a service state of a service staff, a service number and a face scanning image, which are collected in the action process of the service staff. The cloud server analyzes the identity attribute of the service personnel based on the characteristic data acquired by the acquisition device. If the action path, the arrival place, the service number and the face scanning image of the service personnel are consistent with the action path direction, the service address, the stored service number and the face scanning image information predicted by the cloud server, the cloud server can recognize that the identity attribute of the service personnel is consistent with the pre-stored identity attribute and is not changed. Particularly, the intelligent robot is used as a service person, has various skills, and the identity attribute of the intelligent robot changes according to the change of the received service, so that the acquisition device is required to acquire the characteristic data of each service of the intelligent robot and determine whether the identity attribute of the intelligent robot changes.

Different service personnel have different identity attributes. Different identity attributes have different service ranges. The identity attributes include manager level identity attributes, group leader level identity attributes, and employee level identity attributes. The identity attribute is preset, for example, 45 identity attributes are preset. Each identity attribute corresponds to a unique service person. The hierarchy of identity attributes may be formed according to the structural arrangement of the service personnel of the community. For example, if the service person a is a staff of the repair department, then the identity attribute of the service person a is a staff of the repair department; the service person B is an employee of the security department and the identity attribute of the service person B is an employee of the security department.

Each identity attribute matches a three-dimensional location service scope defined within the intelligent community. Each identity attribute has a corresponding three-dimensional position service range, and the service ranges corresponding to different identity attributes can be the same or different, can also be partially the same, and can be specifically set according to requirements.

For example, the service person a is a worker of a repair department, and the service scope matched with the identity attribute of the service person a includes floors within a building on which a repair task is scheduled. If the residential building C does not arrange a repair task on the same day, the safety device of the residential building C does not authorize the service person A, and the service person A cannot enter the residential building C. The service scope of the identity attribute of the service person B includes all three-dimensional areas within the intelligent community.

Each exit and entrance in the intelligent community is provided with a safety module for limiting the entrance and exit of people without safety permission. When the service personnel arrive at the appointed service place, the intelligent terminal sends an authority request and safety verification information to the safety module to request to enter the restricted area. The safety verification information at least comprises intelligent robot safety verification information and human safety verification information. The intelligent robot safety verification information comprises encrypted identity codes, encrypted spectrum codes, sound source positioning information and image characteristic information. The human safety verification information comprises fingerprint verification information, iris verification information, face scanning image information, sound wave verification information and physiological verification information. The physiological verification information of the intelligent robot comprises common physiological parameters, such as height, width, appearance temperature and other appearance parameters. The human physiological verification parameters comprise parameters such as height, body temperature, body shape proportion and the like.

The security module sends a security verification request to the cloud server based on the permission request of the service personnel. The cloud server verifies the identity attribute of the service personnel and grants the authority of the service personnel based on the characteristic data with the time information and the space information, the safety verification information sent by the safety module and/or the service permission information fed back by the intelligent terminal, which are collected by the collecting device. Specifically, the cloud server counts and analyzes the action path and time of the service personnel according to characteristic data with time information and space information acquired by an acquisition device, and whether the action path and time are consistent with the cloud service prediction or not; whether the safety verification information read by the safety module is consistent with the safety verification information stored by the cloud server or not and whether the service provided by the service personnel is matched with the corresponding service requirement or not. After the cloud server verifies that all the information can be consistent and matched, the cloud server sends permission information to the security module and the intelligent terminal of the service staff respectively based on the service permission information sent by the intelligent terminal held by the user. The right permission information includes time information and space information. The service person provides the specified service at the specified time and place.

According to a preferred embodiment, the cloud server analyzes the action trend of the service personnel based on the characteristic data of the service personnel with the time information and the space information and the service information, which are acquired by the acquisition device, and pushes correction data to the intelligent terminal held by the service personnel when the action trend of the service personnel is analyzed to be wrong. For example, the service person receives the service information and designates the service location as a 15 th floor 8. The cloud server analyzes feature data of the service personnel with time information and space information acquired by the acquisition device to know that the service personnel advance to the place A at a preset time, and the distance between the service personnel and the place A tends to be shortened along with the time, so that the service personnel are judged to advance to a specified service place. If the distance between the cloud server computing and analyzing service personnel and the A is continuously increased or maintained to be constant along with the time, the action trend of the service personnel is wrong. The cloud server sends a map with correct route data to an intelligent terminal held by the service staff, and the service staff is instructed to walk along a route towards the A direction. And if the cloud server calculates according to the action path of the service personnel and cannot reach the service place at the appointed time, sending a quick path and time to the mobile terminal of the service personnel to indicate the service personnel to reach the service place as soon as possible.

s1: and predicting the action direction and at least one action route of the service personnel based on the service information and the characteristic data of the service personnel.

And the cloud server receives feedback information of the service receiving information fed back by the service personnel. The feedback information includes service personnel preaction time. Or the cloud server monitors the action trend of the service personnel within a limited time from the specified service time according to the service information received by the service personnel. The defined time units include time units of seconds, minutes, hours, days, months, years, etc. The limited time length can be preset by the cloud server or can be set by a user through the intelligent terminal.

For example, the service information distributed by the cloud server includes information of a service location, a service time, and a service object. The cloud server starts to detect the real-time action trend of the service personnel one hour away from the specified service time.

And when the monitoring time is up, the cloud server searches the latest feature data of the service personnel in the information storage unit according to the basic information of the service personnel. The cloud server determines the position information of the service personnel through the characteristic data of the service personnel acquired by the acquisition device. The cloud server determines the action direction of the service personnel according to the position information of the service personnel and the specified service location, namely predicting the action direction of the service personnel. And the cloud server predicts a route for at least one service person to reach the service location according to the position information of the service person and the specified service location.

S2: and calculating the real-time action direction and the average speed formed by the action track of the service personnel based on the time information and the space information acquired by the acquisition device and the characteristic data.

And the cloud server determines a real-time action track of the service personnel from the monitoring time according to the position information in the characteristic data of the service personnel, which is acquired by the acquisition device. The cloud server judges the action track of the service personnel according to the position information sent by different acquisition modules at adjacent time, determines the action direction of the service personnel, and changes and determines the real-time action trend of the service personnel by comparing the position change directions of the acquisition modules sending the characteristic data adjacently. Meanwhile, the cloud server calculates an average speed of the service person so that the monitoring service person can arrive at the service place on time at a predetermined time.

For example, as shown in fig. 2, in the feature data of the service person collected by the first collection module at the beginning of the monitoring time, the location information of the service person is a. The service location of the service person is P. The cloud server predicts the action direction of the service personnel as AP. And in the characteristic data of the service personnel sent by the second acquisition module, the position information of the service personnel is B. And the third acquisition module acquires the position information of the service personnel as C. The AB direction and the AC direction are both the real-time action directions of the service personnel. The real-time trajectory of the attendant is A-B-C.

S3: and judging the real-time action direction trend and action time of the service personnel based on the deviation angle between the predicted action direction and the real-time action direction.

As shown in fig. 2, if the deviation angle between the AC direction and the AP is smaller than the deviation angle between the AB direction and the AP direction, the real-time action direction of the service person tends to be the AP direction, i.e. the service person acts according to the correct action tendency. The cloud server calculates the average speed of the service personnel according to the real-time movement track of the service personnel, and predicts the time of the service personnel acting on the route with the maximum selection probability at the average speed from the position C to the service place P.

Preferably, the cloud server judges the action trend of the service personnel based on the distance between the position of the service personnel and the service place acquired by the acquisition device.

In an emergency, the service person may first act in the opposite direction to the service direction and then switch the direction to the service location. For example, as shown in fig. 2, the first collecting device collects the position information of the service person as a. The service location of the service person is P. The second acquisition device acquires the position information of the service staff as D. The third acquisition device acquires the position information of the service personnel as E. The fourth acquisition device acquires the position information of the service personnel as F.

The deviation angle between the real-time action direction AD of the service personnel and the AP direction is larger than 90 degrees, and the trend is in the opposite direction. The cloud server compares the deviation angle between the AE direction and the AP with the deviation angle between the AD direction and the AP, and if the deviation angle between the AE direction and the AP is decreased and the distance EP is smaller than the DP, the real-time action tendency of the service person is to approach the AP direction. The cloud server determines that the real-time action trend of the service person is correct, and predicts a time when the service person arrives at the service place at an average speed. When the cloud server predicts that the service personnel cannot reach the service place at the real-time average speed, the cloud server pushes short path information or speed-up information to the intelligent terminal held by the service personnel. The path information includes a graphic route displayed in the form of a map, or an action direction and a route described in a natural language.

S4: and judging that the action trend of the service personnel is wrong under the condition that the deviation angle is larger than a deviation threshold value, and pushing at least one piece of correction information described in a natural language to an intelligent terminal held by the service personnel.

If the cloud server obtains that the actual action track of the service personnel changes the action direction for at least three times through calculation based on the characteristic data collected by the collecting device, the cloud server judges that the action trend of the service personnel is wrong when the deviation angle between the action direction of the service personnel and the predicted action direction is continuously larger than the deviation threshold value and the distance between the service personnel and the service place is gradually increased. The cloud server pushes at least one piece of correction information described in natural language to an intelligent terminal held by a service staff. The correction information includes information described in natural language such as a direction of action, a route of action, a vehicle change, and the like.

According to a preferred embodiment, the cloud server performs primary identity attribute recognition on the service personnel based on first characteristic data with time information and space information sent by an intelligent terminal held by the service personnel and second characteristic data with time information and space information of the service personnel, acquired by an acquisition device. And the cloud server performs second identity attribute identification on the service personnel based on the safety verification information of the service personnel sent by the safety module. And under the condition that the identity of the first identity attribute identification is the same as that of the second identity attribute identification, the cloud server confirms the identity attribute of the service personnel.

The cloud server confirms a service route, service time, a service place and a service item of a service person according to first characteristic data which are sent by the intelligent terminal and have time information and space information, and confirms the service route, the service time, the service place, a service person code, a service person face image and physiological verification information of the service person based on second characteristic data which are collected by the collecting device and have time information and space information. And if the same part of the first characteristic data and the second characteristic data is consistent and the first characteristic data and the second characteristic data are matched with the service data arranged by the cloud server, the cloud server confirms the identity attribute of the service personnel, so that the first identity attribute recognition is completed. The invention simplifies the procedure of first identity attribute identification, so that service personnel can complete the first identity attribute identification in normal activities, and the condition that illegal personnel impersonate the service personnel to enter a safe area after obtaining the intelligent terminal in an illegal way is avoided.

And the cloud server compares the safety verification information of the service personnel sent by the safety module with the pre-stored safety verification information, and if the safety verification information is consistent, the identity attribute identification for the second time is completed. And under the condition that the identity of the first identity attribute identification is the same as that of the second identity attribute identification, the cloud server confirms the identity attribute of the service personnel. The invention carries out secondary verification, verifies the unique safety information of the service personnel, and reduces the identification error probability of identity attributes, thereby avoiding the risk of impersonating the service personnel by illegal molecules. And under the condition that the identity attribute identification fails for the second time, the cloud server sends a warning instruction to the security module to prevent the security module from being cracked violently.

Preferably, the cloud server sends the security verification information of the allocated service personnel to the security module based on the security verification request of the security module. The safety module matches safety verification information sent by an intelligent terminal held by a service worker with safety verification information sent by a cloud server. And the cloud server respectively sends an authority granting instruction to the security module and the intelligent terminal based on the information which is fed back by the security module and successfully matched.

According to a preferred embodiment, the cloud server matches the service items of the service personnel with the identity attributes and the corresponding service requirement information with the time information and the space information, when the matching is successful, the cloud server pushes the identity attribute information and the service request of the service personnel to the intelligent terminal of the user, and the service personnel are granted the authority with the time information and the space information based on the service permission information fed back by the intelligent terminal. The invention matches the service items with the service requirements again, and avoids the problem that service personnel walk in wrong rooms at the same time and place.

After the identity attribute of the service personnel is confirmed, the cloud server matches the service items which are stored in the information storage unit and are consistent with the identity attribute of the service personnel, the service time and the service place with the service requirements. And if the matching is successful, the cloud server sends service information and an authority request to the intelligent terminal held by the user, and the user grants authority permission to service personnel after confirming the service item.

According to a preferred embodiment, the cloud server requests to send service information to the intelligent terminal held by the matched service personnel based on the service requirement of the intelligent terminal, and sends the identity attribute and the feature data of the service personnel to the security module associated with the service object. The safety module responds to an authority request sent by an intelligent terminal held by a service worker and sends a safety information verification request to the intelligent terminal, and the safety module matches the identity attribute information and the feature data provided by the intelligent terminal with the identity attribute and the feature data sent by the cloud server. And the cloud server grants the authority with the time information and the space information to the intelligent terminal based on the information of successful matching of the security module.

For example, the cloud server matches at least one service person based on the service requirements of the user. And the cloud server sends the identity attribute and the characteristic data of at least one service staff to the intelligent terminal of the user. And the user feeds back the selected service personnel through the intelligent terminal. The cloud server sends the identity attributes and the feature data of the corresponding service personnel to a security module associated with the service object based on the selection of the user.

After the service personnel arrive at the service place and complete the first identity attribute identification, the service personnel send an authority request to the security module through the intelligent terminal. Preferably, the service personnel sends the permission request in a mode of scanning numbers through the intelligent terminal. Or, the service personnel initiates the permission request by directly inputting the security verification information to the security module. The security module responds to the authority request sent by the intelligent terminal held by the service personnel and sends a security information verification request to the intelligent terminal. And the service personnel sends the identity attribute information and the characteristic data to the security module through the intelligent terminal. The security module matches the identity attribute information and the feature data provided by the intelligent terminal with the identity attribute and the feature data sent by the cloud server, and the cloud server grants the intelligent terminal with the authority of time information and space information based on the information that the security module is successfully matched.

According to a preferred embodiment, under the condition that the time information and the space information of the service personnel have intersection, the cloud server changes the corresponding identity attribute of the service personnel meeting the service requirement condition and sends the identity attribute information and the service information to the intelligent terminal held by the service personnel based on the service requirement information sent by the intelligent terminal and the service state and the characteristic data of the service personnel. The safety module receives safety verification information of the intelligent terminal held by the service personnel based on the authority request of the service personnel. The cloud server mutually matches the security verification information sent by the security module, the identity attribute information identified based on the characteristic data acquired by the acquisition device and the corresponding service requirement information, and grants the authority to the intelligent terminal held by the service staff under the condition of successful matching.

According to a preferred embodiment, the cloud server compares first service data formed by analyzing the feature data collected by the collecting device with second service data formed by analyzing the feature data sent by the intelligent terminal, and if the difference value between the first service data and the second service data of the service personnel is larger than a threshold value, the first identity attribute of the cloud server identifies and confirms that the identity attribute of the service personnel changes and sends an instruction for forbidding permission to the corresponding security module.

According to a preferred embodiment, the cloud server marks the time information and the space information of the service personnel and the service state in a three-dimensional building model in a text, graph and/or color mode based on the characteristic data of the service personnel collected by the collecting device.

For example, the action path and the service place of the service person are displayed in red. The service state of the service personnel is marked by yellow five-pointed star in the idle state, and the service progress state is marked by blue five-pointed star. And the user checks the position and the service state of the designated service personnel through the intelligent terminal.

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. An authorization method for service staff of an intelligent community, the intelligent community comprises an acquisition device, a cloud server, an intelligent terminal and a security module, and is characterized in that,

the security module sends a security verification request to the cloud server based on the authority request of the service personnel, the cloud server verifies the identity attribute of the service personnel and grants the authority of the service personnel based on the characteristic data with time information and space information collected by the collection device, the security verification information sent by the security module and/or the service permission information fed back by the intelligent terminal,

predicting an action direction and at least one action route of the service personnel based on the service information and the position information of the service personnel;

calculating real-time action direction and average speed formed by action tracks of the service personnel based on the time information and the space information acquired by the acquisition device and the characteristic data;

2. The service employee authorization method according to claim 1, wherein the cloud server performs a first identification for the service person based on first characteristic data with time information and spatial information sent by an intelligent terminal held by the service person and second characteristic data with time information and spatial information of the service person collected by the collection device,

3. The service employee authorization method according to claim 2, wherein the cloud server matches the service items of the service staff with the identity attributes, with the corresponding service requirement information having time information and space information, and when the matching is successful, the cloud server pushes the identity attribute information and the service request of the service staff to the intelligent terminal of the user, and grants the service staff with the authority having the time information and the space information based on the service permission information fed back by the intelligent terminal.

4. The service employee authorization method according to claim 1, characterized in that the cloud server requests, based on the service requirements of the intelligent terminal, to send service information to the intelligent terminal held by the matching service person and to send the identity attributes and characteristic data associated with the service person to the security module associated with the service object,

5. The service employee authorization method according to claim 4, wherein, when the time information and the space information of the service person have an intersection, the cloud server changes the corresponding identity attribute for the service person meeting the service requirement condition and sends the identity attribute information and the service information to the intelligent terminal held by the service person based on the service requirement information sent by the intelligent terminal and the service state and the feature data of the service person,

6. The service employee authorization method according to claim 5, wherein the cloud server compares first service data formed by analyzing the feature data collected by the collection device with second service data formed by analyzing the feature data sent by the intelligent terminal, and if a difference value between the first service data and the second service data of a service employee is greater than a threshold value, the first identity attribute identification of the cloud server confirms that the identity attribute of the service employee changes and sends an authorization prohibition instruction to the corresponding security module.

7. The service employee authorization method according to one of claims 2 to 6, wherein the cloud server instantiates the service object into the community three-dimensional building model pre-established by the cloud server in an adaptive manner and/or a competitive manner based on the spatial information described in the natural language of the first service object and the at least one second service object collected by the intelligent terminal so as to realize location matching of the service object and the three-dimensional building model.

8. The service employee authorization method according to claim 7, characterized in that the cloud server marks the time information and the spatial information of the service person and the service status in the three-dimensional building model in text, graphics and/or color based on the characteristic data of the service person collected by the collection device.

9. An authorization method for a service employee according to claim 8, characterised in that said intelligent community is established by: