CN106211068B - information processing method and server - Google Patents
information processing method and server Download PDFInfo
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- CN106211068B CN106211068B CN201610509857.5A CN201610509857A CN106211068B CN 106211068 B CN106211068 B CN 106211068B CN 201610509857 A CN201610509857 A CN 201610509857A CN 106211068 B CN106211068 B CN 106211068B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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Abstract
The invention discloses information processing methods and a server, wherein the method comprises the steps of collecting 0 information associated with electronic equipment, enabling the 1 information to comprise access point information of 4 th electronic equipment access network, determining 7 parameters of 6 th electronic equipment based on the access point information, enabling the parameters to represent the association degree of at least access points of the th electronic equipment access network and a th access point, enabling the access point to be an access point arranged in 2 nd store, enabling the 3 rd store to be a 5 store to which the th electronic equipment belongs, and judging whether the th electronic equipment is in the 8 th store based on the parameters.
Description
Technical Field
The present invention relates to information processing technology, and in particular, to information processing methods and servers.
Background
stores are novel business with great development prospect, shopping in stores is which is a mode of modern people for fast-paced life, in order to stimulate working enthusiasm of staff in the stores, enterprises like enterprises can provide rewards according to the working conditions of the staff, and at the moment, the working conditions of the staff need to be mastered faithfully, such as whether the staff leaves the stores or not, at present, the working conditions of the staff are mastered in stores mainly by manpower, so the working efficiency is low, and the working conditions of the staff cannot be mastered in real time.
Disclosure of Invention
In order to solve the existing technical problem, the embodiment of the invention provides information processing methods and servers.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides information processing methods, which comprise the following steps:
collecting information associated with th electronic equipment, wherein the th information comprises access point information of th electronic equipment for accessing a network;
determining parameters of the electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points of the electronic equipment access network and a access point, the access point is an access point arranged in a 0 store, the store is a store to which the first equipment belongs;
determining whether the electronic device is within the th store based on the th parameter.
In the scheme, the collecting the information associated with the electronic equipment further comprises collecting the scene information of the th store by using a camera, and the method further comprises the following steps:
determining a second parameter of the electronic device based on the scenario information, the second parameter characterizing a probability that the electronic device is within the store;
accordingly, it is determined whether the electronic device is located within the th store based on the th and second parameters.
In the scheme, the information further comprises operation information for operating the electronic equipment, and the method further comprises the following steps:
determining a third parameter of the electronic device based on the operational information, the third parameter characterizing a probability that an operation on the electronic device is within the store;
accordingly, whether the electronic device is located in the th store is determined based on the th parameter, the second parameter and the third parameter.
In the above scheme, the method further comprises:
acquiring second scene information of the th shop by using a camera, wherein the information content of the second scene information is more than that of the st scene information;
determining at least electronic devices located in the th store in combination with a preset object detection algorithm based on the second scene information;
accordingly, before determining whether the th electronic device is within the th store, the method further comprises:
determining whether the at least electronic devices include the electronic device;
when the at least electronic devices include the electronic device, determine whether the electronic device is within the th store based on respective parameters of the th electronic device.
In the above scheme, the method further comprises:
when the th electronic device is not in the th store, warning control information is sent to the th electronic device to control the th electronic device to issue a warning.
In the above scheme, the method further comprises:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
In the above solution, the th message further includes at least th th time information corresponding to the th electronic device replacement access point;
before determining whether the electronic device is within the store, the method further comprising:
determining whether the at least st th time information is within a preset time period;
when the at least st th time information is within a preset time period, determining whether the th electronic device is in the th store based on the th electronic device's corresponding parameters.
In the above solution, it is determined whether the at least st th time information is before a preset time period, the method further includes:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
accordingly, it is determined whether the second time information is within a preset time period, and when the second time is within the preset time period, it is determined whether the th electronic device is in the th shop based on the corresponding parameter of the th electronic device.
The embodiment of the present invention further provides kinds of servers, including:
the collector is used for collecting information associated with th electronic equipment, wherein the th information comprises access point information of th electronic equipment accessing to a network;
the controller is used for determining parameters of the electronic equipment based on the access point information, the 1 parameters represent the association degree of at least access points of the 2 electronic equipment access network and a access point, the access point is an access point arranged in a 0 store, the 3 store is a store to which the equipment belongs, and whether the first electronic equipment is in the store is judged based on the parameters.
In the above scheme, the collector is further configured to collect th scene information of the th shop by using a camera;
the controller is further configured to:
determining a second parameter of the electronic device based on the scenario information, the second parameter characterizing a probability that the electronic device is within the store;
accordingly, it is determined whether the electronic device is located within the th store based on the th and second parameters.
In the above scheme, the information further includes operation information for operating the electronic device;
the controller is further configured to:
determining a third parameter of the electronic device based on the operational information, the third parameter characterizing a probability that an operation on the electronic device is within the store;
accordingly, whether the electronic device is located in the th store is determined based on the th parameter, the second parameter and the third parameter.
In the above scheme, the collector is further configured to collect second scene information of the th shop by using a camera, wherein the information content of the second scene information is greater than that of the st scene information;
the controller is further configured to:
determining at least electronic devices located in the th store in combination with a preset object detection algorithm based on the second scene information;
determining whether the at least electronic devices include the electronic device;
when the at least electronic devices include the electronic device, determine whether the electronic device is within the th store based on respective parameters of the th electronic device.
In the above solution, the server further includes a communicator, configured to send warning control information to the th electronic device to control the th electronic device to issue a warning when the th electronic device is not located in the th store.
In the above scheme, the collector is further configured to obtain information about access points in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
In the above solution, the th message further includes at least th th time information corresponding to the th electronic device replacement access point;
the controller is further configured to:
determining whether the at least st th time information is within a preset time period;
when the at least st th time information is within a preset time period, determining whether the th electronic device is in the th store based on the th electronic device's corresponding parameters.
In the foregoing solution, the controller is further configured to:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
accordingly, it is determined whether the second time information is within a preset time period, and when the second time is within the preset time period, it is determined whether the th electronic device is in the th shop based on the corresponding parameter of the th electronic device.
The information processing method and the server provided by the embodiment of the invention collect information associated with electronic equipment, the 0 information comprises access point information of the 3 electronic equipment access network, 6 parameters of 5 electronic equipment are determined based on the access point information, the parameter represents the association degree of at least access points and an access point of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the electronic equipment belongs, and whether the electronic equipment is in the 7 store or not is judged based on the parameter to judge whether the employee is in the 8 store or not by judging the use condition of the electronic equipment network, so that the working condition of the staff in the 9 store can be automatically monitored.
Drawings
In the drawings, which are not drawn to scale, like numerals may describe similar components in different views.
FIG. 1 is a flow chart of an information processing method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a second information processing method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a third information processing method according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a fourth information processing method according to an embodiment of the present invention;
FIG. 5 is a flow chart of a fifth information processing method according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of six servers according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another servers according to an embodiment of the present invention.
Detailed Description
The invention is further described in detail with reference to the drawings and examples.
The employee's work situation may be referred to as a sample out situation. In actual application, there may be abnormal situations, such as the employee leaving the store during working time. At present, the manual spot check is mainly used, so that the cost is wasted, the working efficiency is low, and the working condition of the staff cannot be mastered in real time.
Based on this, in various embodiments of the present invention, a server collects information associated with an -th electronic device, the 0-th information includes access point information of the 3-th electronic device accessing a network, 6-th parameters of the 5-th electronic device are determined based on the access point information, the -th parameters represent association degrees of at least access points of the -th electronic device accessing the network and an -th access point, the -th access point is an access point disposed in a 1-th store, the 2-th store is a 4-th store to which the -th electronic device belongs, and whether the -th electronic device is in the 7-th store is determined based on the -th parameters.
Example
The embodiment of the invention provides information processing methods, which are applied to a server.
Fig. 1 is a schematic flow chart of an implementation of an information processing method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
101, collecting information associated with th electronic equipment;
here, the th information includes access point information of the th electronic device accessing a network.
In practical application, with the development of network technology, the access point information may be WiFi hotspot information, including: the name of the WiFi hotspot and the Media Access Control (MAC) address.
In practical applications, the server may collect the th information times every th time period, so as to ensure that different access point information can be obtained in real time.
the th parameter represents the association degree of at least access points and access points of the electronic device access network, wherein the th access point is an access point arranged in a th store, and the th store is a th store to which the device belongs.
In practical applications, since the store is typically located in a shopping mall, and the corresponding WiFi hotspots are located in the stores of the shopping mall itself or other merchants, the relationship between these access points must be analyzed to determine whether the employee is in the store, i.e., whether the employee is out of order, because the WiFi connection is unstable and the employee may be connected to the WiFi hotspot in the shopping mall or to the WiFi hotspot of another merchant that is closer to the store itself.
In practical application, according to the locations of stores (including the locations of the stores, other businesses in the store and stores (embodied by MAC addresses)), the association degree between each access point in the store and the access point in the store is set (which can be embodied by scores, for example, the association degree between the access point in the store is 100, and the association degrees between other access points are 0-100).
And according to the set association degree, finding the association degree of at least access points and a access point of the th electronic equipment access network.
Based on this, in the embodiment, the method may further include:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
103, judging whether the electronic equipment is in the th store or not based on the th parameter.
Here, when the score is lower than a certain threshold value, it is considered that the th electronic device is not located in the th store when embodied by the score.
In other words, the access point used by the th electronic device is already far from the th store, which indicates that the employee using the th electronic device has gone out of order, is not already working in the store, and has left the store.
When the th electronic device is not in the th store, the server may send warning control information to the th electronic device to control the th electronic device to issue a warning, thereby reminding employees.
The method comprises the steps of collecting information associated with electronic equipment, wherein the 0 information comprises access point information of 3 electronic equipment access network, determining 6 parameters of 5 electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points and access points of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the equipment belongs, judging whether the electronic equipment is in the 7 store or not based on the parameters, judging whether an employee is in a 8 store or not by judging the use condition of the electronic equipment network, and thus, automatically monitoring the work condition of the employee in the 9 store can be realized.
Example two
The embodiment of the invention provides information processing methods, which are applied to a server.
Fig. 2 is a schematic flow chart of an implementation of a second information processing method according to an embodiment of the present invention, as shown in fig. 2, the method includes the following steps:
here, the th information includes access point information of the th electronic device accessing to the network, and meanwhile, th scene information of the th store is collected by using a camera.
In practical application, with the development of network technology, the access point information may be WiFi hotspot information, including: the name and MAC address of the WiFi hotspot.
In practical applications, the server may collect the th information times every th time period, so as to ensure that different access point information can be obtained in real time.
In practical application, the camera can be controlled to acquire the scene of shops times at time intervals.
the th parameter represents the association degree of at least access points and access points of the electronic device access network, wherein the th access point is an access point arranged in a th store, and the th store is a th store to which the device belongs.
In practical applications, since the store is typically located in a shopping mall, and the corresponding WiFi hotspots are located in the stores of the shopping mall itself or other merchants, the relationship between these access points must be analyzed to determine whether the employee is in the store, i.e., whether the employee is out of order, because the WiFi connection is unstable and the employee may be connected to the WiFi hotspot in the shopping mall or to the WiFi hotspot of another merchant that is closer to the store itself.
In practical application, according to the locations of stores (including the locations of the stores, other businesses in the store and stores (embodied by MAC addresses)), the association degree between each access point in the store and the access point in the store is set (which can be embodied by scores, for example, the association degree between the access point in the store is 100, and the association degrees between other access points are 0-100).
And according to the set association degree, finding the association degree of at least access points and a access point of the th electronic equipment access network.
Based on this, in the embodiment, the method may further include:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
The second parameter characterizes a probability that the th electronic device is within the th store.
In practical application, the server determines the proportion of the th electronic device appearing in the th scene photos according to the obtained multiple photos, and uses the proportion as a second parameter.
Here, when the th parameter is embodied by a score, the th electronic device is considered not to be in the th store when the score is lower than a certain threshold.
In other words, the access point used by the th electronic device is already far away from the th store, which indicates that the employee using the th electronic device has gone out of order, is not working in the th store, and has left the th store.
When the second parameter is represented by a ratio, the higher the ratio is, the higher the probability that the th electronic device is in the th store is, and when the ratio is lower than a certain threshold, the th electronic device can be considered not to be in the th store,
in actual application, corresponding threshold values can be set for the th parameter and the second parameter respectively according to needs, and the server judges whether the employee is in the store according to the set threshold values.
When the th electronic device is not in the th store, the server may send warning control information to the th electronic device to control the th electronic device to issue a warning, thereby reminding employees.
The method comprises the steps of collecting information associated with electronic equipment, wherein the 0 information comprises access point information of 3 electronic equipment access network, determining 6 parameters of 5 electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points and access points of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the equipment belongs, judging whether the electronic equipment is in the 7 store or not based on the parameters, judging whether an employee is in a 8 store or not by judging the use condition of the electronic equipment network, and thus, automatically monitoring the work condition of the employee in the 9 store can be realized.
Whether the electronic equipment is in the th shop is judged based on the th parameter and the second parameter, and therefore, more factors are considered, and accurate monitoring can be achieved.
EXAMPLE III
The embodiment of the invention provides information processing methods, which are applied to a server.
Fig. 3 is a schematic flow chart of an implementation of a second information processing method according to an embodiment of the present invention, as shown in fig. 3, the method includes the following steps:
step 301 of collecting th information associated with th electronic device,
here, the th information includes access point information of the th electronic device accessing to the network, and meanwhile, th scene information of the th store is collected by using a camera.
In practical application, with the development of network technology, the access point information may be WiFi hotspot information, including: the name and MAC address of the WiFi hotspot.
In practical applications, the server may collect the th information times every th time period, so as to ensure that different access point information can be obtained in real time.
In practical application, the camera can be controlled to acquire the scene of shops times at time intervals.
The information further includes operation information to operate the electronic device.
Here, the operation information may include: the method comprises the steps of turning on and turning off the equipment, sleeping, turning on and turning off software, browsing a webpage, clicking a mouse and a keyboard, and the like.
Step 302, determining parameters of the th electronic device based on the access point information, determining th electronic device second parameters based on the th scene information, determining th electronic device third parameters based on the operation information;
the th parameter represents the association degree of at least access points and access points of the electronic device access network, wherein the th access point is an access point arranged in a th store, and the th store is a th store to which the device belongs.
In practical applications, since the store is typically located in a shopping mall, and the corresponding WiFi hotspots are located in the stores of the shopping mall itself or other merchants, the relationship between these access points must be analyzed to determine whether the employee is in the store, i.e., whether the employee is out of order, because the WiFi connection is unstable and the employee may be connected to the WiFi hotspot in the shopping mall or to the WiFi hotspot of another merchant that is closer to the store itself.
In practical application, according to the locations of stores (including the locations of the stores, other businesses in the store and stores (embodied by MAC addresses)), the association degree between each access point in the store and the access point in the store is set (which can be embodied by scores, for example, the association degree between the access point in the store is 100, and the association degrees between other access points are 0-100).
And according to the set association degree, finding the association degree of at least access points and a access point of the th electronic equipment access network.
Based on this, in the embodiment, the method may further include:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
The second parameter characterizes a probability that the th electronic device is within the th store.
In practical application, the server determines the proportion of the th electronic device appearing in the th scene photos according to the obtained multiple photos, and uses the proportion as a second parameter.
The third parameter characterizes a probability that an operation performed on the th electronic device is within the th store.
After the server collects the operation information, the server calculates statistics such as mean value, quantile, summation, combined statistics and the like on the data, so as to obtain the total software opening number each day, the total software running number at the same time of , average mouse clicking times and keyboard clicking times each hour and the like.
Then, time series data are established by hours according to all statistical data and characteristic data (characteristic data of components based on experience and the like) of the th electronic equipment, and the abnormal degree of the data is scored in real time by an abnormal detection algorithm such as iForest, Surus and the like to obtain a third parameter.
And 303, judging whether the electronic equipment is in the th store or not based on the th parameter, the second parameter and the third parameter.
Here, when the th parameter is embodied by a score, the th electronic device is considered not to be in the th store when the score is lower than a certain threshold.
In other words, the access point used by the th electronic device is already far away from the th store, which indicates that the employee using the th electronic device has gone out of order, is not working in the th store, and has left the th store.
When the second parameter is represented by a ratio, the higher the ratio is, the higher the probability that the th electronic device is in the th store is, and when the ratio is lower than a certain threshold, the th electronic device can be considered not to be in the th store,
when the third parameter is embodied by the score, the higher the score is, the lower the probability that the -th electronic device is in the -th store is, and when the score is higher than a certain threshold, the -th electronic device can be considered not to be in the -th store.
In actual application, corresponding threshold values can be set for the th parameter, the second parameter and the third parameter respectively according to needs, and the server judges whether the employee is in the store according to the set threshold values.
When the th electronic device is not in the th store, the server may send warning control information to the th electronic device to control the th electronic device to issue a warning, thereby reminding employees.
The method comprises the steps of collecting information associated with electronic equipment, wherein the 0 information comprises access point information of 3 electronic equipment access network, determining 6 parameters of 5 electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points and access points of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the equipment belongs, judging whether the electronic equipment is in the 7 store or not based on the parameters, judging whether an employee is in a 8 store or not by judging the use condition of the electronic equipment network, and thus, automatically monitoring the work condition of the employee in the 9 store can be realized.
Whether the electronic equipment is located in the th store is judged based on the th parameter and the second parameter, since the store is arranged in a shopping mall like the one, but a plurality of stores are located in the shopping mall, and the store environment is complex, and a plurality of factors are adopted to judge whether the electronic equipment is located in the store, so that accurate monitoring can be realized.
Example four
The embodiment of the invention provides information processing methods, which are applied to a server.
Fig. 4 is a schematic flow chart of an implementation of a fourth information processing method according to an embodiment of the present invention, as shown in fig. 4, the method includes the following steps:
collecting information associated with electronic equipment, collecting second scene information of shop by using a camera;
here, the th information includes access point information of the th electronic device accessing a network.
In practical application, with the development of network technology, the access point information may be WiFi hotspot information, including: the name and MAC address of the WiFi hotspot.
In practical applications, the server may collect the th information times every th time period, so as to ensure that different access point information can be obtained in real time.
The information amount of the second scene information is more than that of the th scene information.
Here, in actual use, the second scene information may be scene information acquired by a camera in shop in all directions.
Step 402, determining parameters of the th electronic device based on the access point information;
the th parameter represents the association degree of at least access points and access points of the electronic device access network, wherein the th access point is an access point arranged in a th store, and the th store is a th store to which the device belongs.
In practical applications, since the store is typically located in a shopping mall, and the corresponding WiFi hotspots are located in the stores of the shopping mall itself or other merchants, the relationship between these access points must be analyzed to determine whether the employee is in the store, i.e., whether the employee is out of order, because the WiFi connection is unstable and the employee may be connected to the WiFi hotspot in the shopping mall or to the WiFi hotspot of another merchant that is closer to the store itself.
In practical application, according to the locations of stores (including the locations of the stores, other businesses in the store and stores (embodied by MAC addresses)), the association degree between each access point in the store and the access point in the store is set (which can be embodied by scores, for example, the association degree between the access point in the store is 100, and the association degrees between other access points are 0-100).
And according to the set association degree, finding the association degree of at least access points and a access point of the th electronic equipment access network.
Based on this, in the embodiment, the method may further include:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
Step 403, determining at least electronic devices in the th store based on the second scene information and by combining a preset object detection algorithm;
step 404, judging whether the at least electronic devices comprise the electronic device;
and 405, when the at least electronic devices include the electronic device, judging whether the electronic device is in the store based on the parameter.
Here, since the second scenario information is relatively comprehensive scenario information, when the electronic device is not included in the at least electronic devices, it has been described that the electronic device is not in the store, and it is not necessary to determine whether the electronic device is in the store based on the related parameters.
When embodied in a score, the th electronic device is deemed not to be within the th store when the score is below a certain threshold.
In other words, the access point used by the th electronic device is already far from the th store, which indicates that the employee using the th electronic device has gone out of order, is not already working in the store, and has left the store.
When the th electronic device is not in the th store, the server may send warning control information to the th electronic device to control the th electronic device to issue a warning, thereby reminding employees.
The method comprises the steps of collecting information associated with electronic equipment, wherein the 0 information comprises access point information of 3 electronic equipment access network, determining 6 parameters of 5 electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points and access points of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the equipment belongs, judging whether the electronic equipment is in the 7 store or not based on the parameters, judging whether an employee is in a 8 store or not by judging the use condition of the electronic equipment network, and thus, automatically monitoring the work condition of the employee in the 9 store can be realized.
EXAMPLE five
The embodiment of the invention provides information processing methods, which are applied to a server.
Fig. 5 is a schematic flow chart of an implementation of the information processing method according to the embodiment of the present invention, as shown in fig. 5, the method includes the following steps:
collecting th information associated with th electronic equipment at step 501;
here, the th information includes access point information of the th electronic device accessing a network.
In practical application, with the development of network technology, the access point information may be WiFi hotspot information, including: the name of the WiFi hotspot and the Media Access Control (MAC) address.
In practical applications, the server may collect the th information times every th time period, so as to ensure that different access point information can be obtained in real time.
The information also includes at least st th time information corresponding to the th electronic device replacement access point.
the th parameter represents the association degree of at least access points and access points of the electronic device access network, wherein the th access point is an access point arranged in a th store, and the th store is a th store to which the device belongs.
In practical applications, since the store is typically located in a shopping mall, and the corresponding WiFi hotspots are located in the stores of the shopping mall itself or other merchants, the relationship between these access points must be analyzed to determine whether the employee is in the store, i.e., whether the employee is out of order, because the WiFi connection is unstable and the employee may be connected to the WiFi hotspot in the shopping mall or to the WiFi hotspot of another merchant that is closer to the store itself.
In practical application, according to the locations of stores (including the locations of the stores, other businesses in the store and stores (embodied by MAC addresses)), the association degree between each access point in the store and the access point in the store is set (which can be embodied by scores, for example, the association degree between the access point in the store is 100, and the association degrees between other access points are 0-100).
And according to the set association degree, finding the association degree of at least access points and a access point of the th electronic equipment access network.
Based on this, in the embodiment, the method may further include:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
here, the preset time period may be set according to a prescribed on-off time.
And 504, when the at least st th time information is within a preset time period, judging whether the th electronic equipment is in the th store or not based on the th parameter.
In practical applications, it is necessary to determine whether the th time information is correct time information in order to modify the th electronic device to prevent cheating by employees and to make a call back to a store or leave the store in advance.
Based on this, in the embodiment, the method may further include:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
and when the second time is within the preset time period, judging whether the electronic equipment is in the th store or not based on the corresponding parameter of the th electronic equipment.
The server collects clock adjustment events on the electronic device, and obtains the value of the clock adjustment variable according to the clock adjustment events and the time of the clock adjustment events.
By correcting the time information, it is possible to accurately determine whether the th electronic device is in the th store, and it is possible to effectively prevent cheating.
When the at least th time information is not in the preset time period, it indicates that the time is off duty, and it is not necessary to determine whether the th electronic device is in the th store based on the related parameters.
When embodied in a score, the th electronic device is deemed not to be within the th store when the score is below a certain threshold.
In other words, the access point used by the th electronic device is already far from the th store, which indicates that the employee using the th electronic device has gone out of order, is not already working in the store, and has left the store.
When the th electronic device is not in the th store, the server may send warning control information to the th electronic device to control the th electronic device to issue a warning, thereby reminding employees.
The method comprises the steps of collecting information associated with electronic equipment, wherein the 0 information comprises access point information of 3 electronic equipment access network, determining 6 parameters of 5 electronic equipment based on the access point information, wherein the parameters represent the association degree of at least access points and access points of the electronic equipment access network, the access point is an access point arranged in a 1 store, the 2 store is a 4 store to which the equipment belongs, judging whether the electronic equipment is in the 7 store or not based on the parameters, judging whether an employee is in a 8 store or not by judging the use condition of the electronic equipment network, and thus, automatically monitoring the work condition of the employee in the 9 store can be realized.
EXAMPLE six
To implement the method of the embodiment of the present invention, this embodiment provides kinds of servers, as shown in fig. 6, where the server includes:
the collector 61 is used for collecting information associated with th electronic equipment, wherein the th information comprises access point information of the th electronic equipment accessing to a network;
the controller 62 is configured to determine a parameter of the th electronic device based on the access point information, determine that the 1 th parameter characterizes a degree of association between at least access points of the 2 th electronic device access network and a th access point, determine that the th access point is an access point disposed in a 0 st store, determine that the 3 rd store is a store to which the th electronic device belongs, and determine whether the first electronic device is located in the th store based on the th parameter.
In , the collector 61 is further configured to collect th scene information of the th store by using a camera;
the controller 62 is further configured to:
determining a second parameter of the electronic device based on the scenario information, the second parameter characterizing a probability that the electronic device is within the store;
accordingly, the controller 62 determines whether the electronic device is within the th store based on the th parameter and the second parameter.
In the embodiment, the information further includes operation information to operate the electronic device;
the controller 62 is further configured to:
determining a third parameter of the electronic device based on the operational information, the third parameter characterizing a probability that an operation on the electronic device is within the store;
accordingly, the controller 62 determines whether the electronic device is located within the th store based on the th, second and third parameters.
In , the collector 61 is further configured to collect second scenario information of the th store by using a camera, where an information amount of the second scenario information is greater than an information amount of the th scenario information;
the controller 62 is further configured to:
determining at least electronic devices located in the th store in combination with a preset object detection algorithm based on the second scene information;
determining whether the at least electronic devices include the electronic device;
when the at least electronic devices include the electronic device, determine whether the electronic device is within the th store based on respective parameters of the th electronic device.
In , as shown in fig. 7, the server further includes a communicator 63 configured to send warning control information to the th electronic device to control the th electronic device to issue a warning when the th electronic device is not in the th store.
In , the collector 61 is further configured to obtain access point information in at least two stores associated with the store;
accordingly, the controller 62 determines parameters of the th electronic device based on the th electronic device access network access point information and the acquired at least two in-store access point information.
The information also includes at least st time information corresponding to the th electronic device replacement access point;
the controller 62 is further configured to:
determining whether the at least st th time information is within a preset time period;
when the at least st th time information is within a preset time period, determining whether the th electronic device is in the th store based on the th electronic device's corresponding parameters.
In the embodiment, the controller 62 is further configured to:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
accordingly, it is determined whether the second time information is within a preset time period, and when the second time is within the preset time period, it is determined whether the th electronic device is in the th shop based on the corresponding parameter of the th electronic device.
It should be noted that: the specific processing procedures of the units of the server have been described in detail above, and are not described in detail here.
It should be appreciated that reference throughout this specification to " embodiments" or " embodiments" means that a particular feature, structure or characteristic described in connection with the embodiments is included in at least embodiments of the present invention it is not necessary for to refer to the same embodiment as "in embodiments" or "in embodiments" appearing throughout the specification.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises an series of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units into only logical functional divisions, and other divisions may be possible in actual practice, e.g., multiple units or components may be combined, or may be integrated into another systems, or features may be omitted or not executed.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in places, may be distributed on a plurality of network units, and may select some or all of the units according to actual needs to achieve the purpose of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into processing units, or each unit may be used as units individually, or two or more units may be integrated into units, and the integrated units may be implemented in the form of hardware, or in the form of hardware and software functional units.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Based on the understanding, the technical solution of the embodiments of the present invention or the portions contributing to the prior art may be embodied in the form of a software product stored in storage media, which includes several instructions for making computer devices (which may be personal computers, servers, or network devices) execute all or part of the methods described in the embodiments of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (16)
1, an information processing method, comprising:
collecting information associated with th electronic equipment, wherein the th information comprises access point information of th electronic equipment for accessing a network;
determining parameters of the electronic equipment based on the access point information, wherein the 3 parameters represent the association degree of at least access points of the electronic equipment access network and a access point, the access point is an access point arranged in a 0 store, the 1 store is a store to which equipment belongs, and the association degree is obtained by searching the preset association degree between each access point in the 2 store and the first access point in the store;
determining whether the electronic device is within the th store based on the th parameter.
2. The method of claim 1, wherein collecting information associated with an th electronic device further comprises collecting th scene information of the th store with a camera, the method further comprising:
determining a second parameter of the electronic device based on the scene information, the second parameter characterizing a proportion of the electronic device appearing in a plurality of scene photos characterizing the scene information;
accordingly, it is determined whether the electronic device is located within the th store based on the th and second parameters.
3. The method of claim 2, wherein the information further includes operational information for operating the electronic device, the method further comprising:
determining a third parameter of the electronic device based on the operation information, wherein the third parameter characterizes a data abnormality degree score of the operation information, wherein a probability that the electronic device is in the th shop is inversely proportional to the data abnormality degree score;
accordingly, whether the electronic device is located in the th store is determined based on the th parameter, the second parameter and the third parameter.
4. The method of any of , wherein the method further comprises:
acquiring second scene information of the th shop by using a camera, wherein the information content of the second scene information is more than that of the st scene information;
determining at least electronic devices located in the th store in combination with a preset object detection algorithm based on the second scene information;
accordingly, before determining whether the th electronic device is within the th store, the method further comprises:
determining whether the at least electronic devices include the electronic device;
when the at least electronic devices include the electronic device, determine whether the electronic device is within the th store based on respective parameters of the th electronic device.
5. The method of any of , wherein the method further comprises:
when the th electronic device is not in the th store, warning control information is sent to the th electronic device to control the th electronic device to issue a warning.
6. The method of any of , wherein the method further comprises:
obtaining access point information in at least two stores associated with the th store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
7. The method of any of claims 1-2, wherein the information further includes at least th time information corresponding to the th electronic device replacement access point;
before determining whether the electronic device is within the store, the method further comprising:
determining whether the at least st th time information is within a preset time period;
when the at least st th time information is within a preset time period, determining whether the th electronic device is in the th store based on the th electronic device's corresponding parameters.
8. The method as claimed in claim 7, wherein it is determined whether the at least st th time information is before a preset time period, the method further comprising:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
accordingly, it is determined whether the second time information is within a preset time period, and when the second time is within the preset time period, it is determined whether the th electronic device is in the th shop based on the corresponding parameter of the th electronic device.
9, A server, comprising:
the collector is used for collecting information associated with th electronic equipment, wherein the th information comprises access point information of th electronic equipment accessing to a network;
the controller is used for determining parameters of the electronic equipment based on the access point information, the 3 parameters represent the association degree of at least 5 access points and access points of the 4 electronic equipment access network, the access point is an access point arranged in a 0 st store, the 1 st store is an th store, the association degree is obtained by searching the preset association degree between each access point in the 2 nd store and the access point in the 6 th store, and whether the first electronic equipment is in the st store is judged based on the parameters.
10. The server of claim 9, wherein the collector is further configured to collect th scene information of the th shop by using a camera;
the controller is further configured to:
determining a second parameter of the electronic device based on the scene information, the second parameter characterizing a proportion of the electronic device appearing in a plurality of scene photos characterizing the scene information;
accordingly, it is determined whether the electronic device is located within the th store based on the th and second parameters.
11. The server according to claim 10, wherein the information further includes operation information for operating the electronic device;
the controller is further configured to:
determining a third parameter of the electronic device based on the operation information, wherein the third parameter characterizes a data abnormality degree score of the operation information, wherein a probability that the electronic device is in the th shop is inversely proportional to the data abnormality degree score;
accordingly, whether the electronic device is located in the th store is determined based on the th parameter, the second parameter and the third parameter.
12. The server according to any of claims 9-11, wherein the collector is further configured to collect second scenario information of the th store by using a camera, wherein the second scenario information has a larger information amount than the th scenario information;
the controller is further configured to:
determining at least electronic devices located in the th store in combination with a preset object detection algorithm based on the second scene information;
determining whether the at least electronic devices include the electronic device;
when the at least electronic devices include the electronic device, determine whether the electronic device is within the th store based on respective parameters of the th electronic device.
13. The server according to any of claims 9-11, further comprising a communicator for sending alert control information to the electronic device to control the electronic device to issue an alert when the electronic device is not within the store.
14. The server according to any of claims 9-11, wherein the collector is further configured to obtain access point information within at least two stores associated with the store;
accordingly, the parameter of the electronic device is determined based on the access point information of the electronic device accessing the network and the acquired access point information of at least two stores.
15. The server according to any of claims 9-10 and , wherein said information further comprises at least th time information corresponding to said th electronic device replacement access point;
the controller is further configured to:
determining whether the at least st th time information is within a preset time period;
when the at least st th time information is within a preset time period, determining whether the th electronic device is in the th store based on the th electronic device's corresponding parameters.
16. The server of claim 15, wherein the controller is further configured to:
judging whether the th time information represents the server time or not based on corresponding identification information for each th time information, and when the th time information does not represent the server time, correcting the th time information based on a third parameter to obtain second time information, wherein the third parameter represents a preset clock adjusting variable value;
accordingly, it is determined whether the second time information is within a preset time period, and when the second time is within the preset time period, it is determined whether the th electronic device is in the th shop based on the corresponding parameter of the th electronic device.
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