CN107679145B - Store monitoring method and electronic equipment - Google Patents
Store monitoring method and electronic equipment Download PDFInfo
- Publication number
- CN107679145B CN107679145B CN201710875130.3A CN201710875130A CN107679145B CN 107679145 B CN107679145 B CN 107679145B CN 201710875130 A CN201710875130 A CN 201710875130A CN 107679145 B CN107679145 B CN 107679145B
- Authority
- CN
- China
- Prior art keywords
- information
- store
- electronic equipment
- matching
- result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24553—Query execution of query operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
- G06F2216/03—Data mining
Abstract
The invention discloses a store monitoring method and electronic equipment. The method comprises the following steps: matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
Description
Technical Field
The invention relates to the field of information processing, in particular to a store monitoring method and electronic equipment.
Background
The chain store is a plurality of small-scale, scattered retail stores of the same brand which operate the same type of goods and services, and takes a common business guideline and consistent marketing action under the leadership of the organization.
Under the management mechanism, the headquarters needs to release funds according to the staged product exhibition and marketing conditions of each storefront, and the common implementation mode is to install corresponding software on the equipment, upload data acquired on the equipment to a headquarters back-end server by means of the internet, and acquire corresponding management information data by means of data analysis.
However, chain stores are often illegal in the sales process driven by interest, which seriously impairs the interest of the goods producer. This requires manual labor to monitor the store, which adds significant labor cost, is random, is not conducive to the positioning problem, and is inefficient for which there is currently no effective solution.
Disclosure of Invention
In order to solve the existing technical problem, the embodiment of the invention provides a store monitoring method and electronic equipment.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides a store monitoring method, which comprises the following steps:
matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs;
extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information;
matching the determined use habits with store management information in a database to obtain a second matching result;
and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
In the above scheme, the method further comprises:
calculating a corresponding performance index by using the sales information in the second information;
comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
comparing the obtained service index with the historical service index to obtain a second comparison result;
obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
correspondingly, a monitoring result of the store to which the first electronic equipment belongs is obtained and output by utilizing the first matching result, the second matching result and the obtained performance analysis result.
In the above scheme, the method further comprises:
judging whether the time information in the behavior information is the same as the corresponding server time or not;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
In the above scheme, the method further comprises:
acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
In the above scheme, the monitoring result of the store to which the first electronic device belongs is periodically determined and output.
An embodiment of the present invention further provides an electronic device, including:
the first matching unit is used for matching the collected first information and second information associated with the first electronic equipment with store management information in the database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs;
the determining unit is used for extracting characteristic information from the behavior information and determining the use habit corresponding to the first electronic equipment based on the characteristic information;
the second matching unit is used for matching the determined use habits with store management information in the database to obtain a second matching result;
and the processing unit is used for determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
In the above solution, the electronic device further includes: a performance analysis unit to:
calculating a corresponding performance index by using the sales information in the second information;
comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
comparing the obtained service index with the historical service index to obtain a second comparison result;
obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
correspondingly, the processing unit is configured to obtain and output a monitoring result of a store to which the first electronic device belongs by using the first matching result, the second matching result, and the obtained performance analysis result.
In the foregoing solution, the first matching unit is further configured to:
judging whether the time information in the behavior information is the same as the corresponding server time or not;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
In the above solution, the electronic device further includes: a complaint processing unit for:
acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of any of the above methods when running the computer program.
According to the store monitoring method and the electronic device provided by the embodiment of the invention, the collected first information and second information associated with the first electronic device are matched with store management information in the database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result. By adopting the scheme of the embodiment of the invention, the acquired information is matched with the store management information in the database, so that the monitoring result of the store can be automatically determined, the personnel cost can be greatly reduced, and the violation abnormity can be accurately positioned, thereby having the advantages of high efficiency, pertinence, cost saving and the like.
Drawings
In the drawings, which are not necessarily drawn to scale, like reference numerals may describe similar components in different views. The drawings illustrate generally, by way of example, but not by way of limitation, various embodiments discussed herein.
Fig. 1 is a schematic flow chart of a method for monitoring a store according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another store monitoring method according to an embodiment of the present invention;
FIG. 3 is a probability distribution curve of a related performance indicator according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of another store monitoring method according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of store monitoring according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention;
fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and examples.
The illegal behaviors of stores mainly comprise:
1. and (4) leaving the store for sampling: that is, the sample machine is not placed on the exhibition stand, and the store clerk uses the sample machine in the office; or the sample machine takes out samples at unregistered registration sites;
2. and (4) shop fleeing and sample discharging: namely, one sample machine is in binding relation with a plurality of storefronts;
3. selling other brands or counterfeit and shoddy products;
4. the sold sample machine does not unload the software in time, the data is still returned in the process of purchasing and reusing by the customer, and the data is charged and sampled;
5. clerks modify computer system time, forge frequent messages, etc.
In order to realize the monitoring of the store, in the related art, only the storefronts can be periodically and manually extracted, and a mystery person is assigned to secretly go to the store for inspection, but with the increase of the number of the chain storefronts, the defects of difficult positioning, high randomness, low efficiency, additional overhead increase and the like are more obvious.
Based on this, in various embodiments of the invention: matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
By adopting the scheme of the embodiment of the invention, the acquired information is matched with the store management information in the database, so that the monitoring result of the store can be automatically determined, the personnel cost can be greatly reduced, and the violation abnormity can be accurately positioned, thereby having the advantages of high efficiency, pertinence, cost saving and the like.
In the following description, the sample machine is simply referred to as a prototype.
The store monitoring method provided by the embodiment of the invention is applied to electronic equipment.
Fig. 1 is a flowchart of a store monitoring method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step 101: matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result;
here, it should be noted that: the first electronic device for executing the method of the embodiment of the present invention is different from the electronic device in step 101, and when the method is actually applied, the first electronic device in step 101 may be a prototype in a store.
The first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information includes store information to which the first electronic device belongs.
In practice, the clerk may modify the computer system time to forge the sample duration information, etc., and also need to identify such violations.
Based on this, in one embodiment, it is determined whether time information in the behavior information is the same as a corresponding server time;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
The step is to directly match the store management information in the database with the collected first information and second information without any processing on the collected information, so as to judge whether illegal behaviors such as leaving a store, running a store, modifying system time, selling fake and shoddy products and the like exist.
That is, in this step, the electronic device is a prototype in a store. And automatically distinguishing simple illegal behaviors based on literal information of the collected behavior data of the prototype (the first electronic equipment).
In practical application, event information in the process of human interaction can be automatically extracted by means of automatically deployed prototype data acquisition software, and illegal behaviors such as leaving a store, running a store, changing system time, selling counterfeit and shoddy products and the like can be discovered according to information such as space, time and the like in the event information and a pre-maintained knowledge base.
The first information refers to behavior information data generated when the prototype is operated, and can include: prototype names, operation behaviors, operation objects, spatial information, timestamps, and the like.
The second information is store data, and may include: store presence, product listing, business hours, sales rules, spatial information, etc.
Step 102: extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information;
in practical application, a corresponding model is established in a machine learning mode based on sample data, and the use habit corresponding to the first electronic device is determined by using the extracted feature information and the established model.
Wherein the usage habit refers to a behavior habit of a user using the first electronic device.
Step 103: matching the determined use habits with store management information in a database to obtain a second matching result;
here, in this step, the collected data is mined, and the further identification of the complex violation is realized by analyzing the acquired features, patterns or rules. For example: the behavior habit and the work and rest rule of a user are analyzed through information such as the number category of software installed on the prototype, the distribution condition of daily operation content and frequency, the use time range and the like so as to distinguish whether the prototype is sold or not, and the discrimination of charging and sample output is realized.
In practical application, the step 101 and the steps 102 to 103 are not performed in sequence.
Step 104: and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
That is, the first matching result and the second matching result are integrated as the monitoring result of the store.
In practice, the output may be an electronic mailbox sent to the administrator for the administrator to handle the violation.
In practical application, the steps 101 to 104 may be performed periodically, that is, the monitoring result of the store to which the first electronic device belongs is determined periodically and output, so that a manager can know the monitoring condition of the store in time.
In addition, during actual application, a manager can set the weight or confidence of each storefront and the violation monitoring analysis in the database to judge whether the violation is a violation.
According to the store monitoring method provided by the embodiment of the invention, the collected first information and second information associated with the first electronic equipment are matched with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; by using the scheme of the embodiment of the invention, the monitoring result of the store to which the first electronic device belongs can be determined and output, and by matching the acquired information with the store management information in the database, the monitoring result of the store can be automatically determined, so that the personnel cost can be greatly reduced, and the violation abnormity can be accurately positioned, thereby having the advantages of high efficiency, pertinence, cost saving and the like.
In practical applications, besides the expected store violations, there are other suspected violations besides the expected store violations, and these suspected violations also need to be monitored.
Based on this, another store monitoring method is provided in the embodiments of the present invention, as shown in fig. 2, the method includes:
step 201: matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result;
here, it should be noted that: the electronic device executing the method of the embodiment of the present invention is different from the first electronic device in step 101, and in practical application, the first electronic device in step 101 may be a prototype in a store.
The first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information includes store information to which the first electronic device belongs.
In practice, the clerk may modify the computer system time to forge the sample duration information, etc., and also need to identify such violations.
Based on this, in one embodiment, it is determined whether time information in the behavior information is the same as a corresponding server time;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
The step is to directly match the store management information in the database with the collected first information and second information without any processing on the collected information, so as to judge whether illegal behaviors such as leaving a store, running a store, modifying system time, selling fake and shoddy products and the like exist.
That is, in this step, the electronic device is a prototype in a store. And automatically distinguishing simple illegal behaviors based on literal information of the collected behavior data of the prototype (the first electronic equipment).
In practical application, event information in the process of human interaction can be automatically extracted by means of automatically deployed prototype data acquisition software, and illegal behaviors such as leaving a store, running a store, changing system time, selling counterfeit and shoddy products and the like can be discovered according to information such as space, time and the like in the event information and a pre-maintained knowledge base.
The first information refers to behavior information data generated when the prototype is operated, and can include: prototype names, operation behaviors, operation objects, spatial information, timestamps, and the like.
The second information is store data, and may include: store presence, product listing, business hours, sales rules, spatial information, etc.
Step 202: extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information;
in practical application, a corresponding model is established in a machine learning mode based on sample data, and the use habit corresponding to the first electronic device is determined by using the extracted feature information and the established model.
Wherein the usage habit refers to a behavior habit of a user using the first electronic device.
Step 203: matching the determined use habits with store management information in a database to obtain a second matching result;
here, in this step, the collected data is mined, and the further identification of the complex violation is realized by analyzing the acquired features, patterns or rules. For example: the behavior habit and the work and rest rule of a user are analyzed through information such as the number category of software installed on the prototype, the distribution condition of daily operation content and frequency, the use time range and the like so as to distinguish whether the prototype is sold or not, and the discrimination of charging and sample output is realized.
Step 204: calculating a corresponding performance index by using the sales information in the second information;
step 205: comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
step 206: comparing the obtained service index with the historical service index to obtain a second comparison result;
step 207: obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
in practical application, steps 201, steps 202 to 203, and steps 204 to 207 are not performed in a sequential order.
Through steps 204-207, suspected violations other than expectations can be identified, that is, in steps 204-207, as shown in fig. 3, the relevant performance indicators are calculated and a probability distribution curve is drawn from two angles, namely, from the horizontal direction and the vertical direction according to business requirements, and the suspected violations other than expectations exist for storefronts with data seriously deviated in position on the curve and isolated.
Step 208: and obtaining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result, the second matching result and the obtained performance analysis result.
That is, the first matching result, the second matching result, and the obtained performance analysis result are integrated as the monitoring result of the store.
In practice, the output may be an electronic mailbox sent to the administrator for the administrator to handle the violation.
In practical application, the steps 201 to 208 may be performed periodically, that is, the monitoring result of the store to which the first electronic device belongs is determined periodically and output, so that a manager can know the monitoring condition of the store in time.
In addition, during actual application, a manager can set the weight or confidence of each storefront and the violation monitoring analysis in the database to judge whether the violation is a violation. Moreover, if the proposed behavior is not classified into the existing violation type library after inspection, the administrator can add the behavior to the database to participate in future supervision and analysis.
According to the store monitoring method provided by the embodiment of the invention, the collected first information and second information associated with the first electronic equipment are matched with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; by using the scheme of the embodiment of the invention, the monitoring result of the store to which the first electronic device belongs can be determined and output, and by matching the acquired information with the store management information in the database, the monitoring result of the store can be automatically determined, so that the personnel cost can be greatly reduced, and the violation abnormity can be accurately positioned, thereby having the advantages of high efficiency, pertinence, cost saving and the like.
In addition, the corresponding performance index is calculated by using the sales information in the second information; comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result; comparing the obtained service index with the historical service index to obtain a second comparison result; obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result; correspondingly, monitoring results of the store to which the first electronic device belongs are obtained and output by using the first matching result, the second matching result and the obtained performance analysis result, so that some suspected violations can be judged, and the suspected violations can be detected on site in time.
Further, although the illegal behavior of the store front is automatically analyzed, a store clerk may question the result of the automatic analysis in consideration of the actual application, and a complaint is proposed, and this problem also needs to be dealt with.
Based on this, another store monitoring method is provided in an embodiment of the present invention, as shown in fig. 4, the method includes:
step 401: matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result;
here, the first information includes device information of the first electronic device and behavior information of an operation performed on the first electronic device; the second information includes store information to which the first electronic device belongs.
In practice, the clerk may modify the computer system time to forge the sample duration information, etc., and also need to identify such violations.
Based on this, in one embodiment, it is determined whether time information in the behavior information is the same as a corresponding server time;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
The step is to directly match the store management information in the database with the collected first information and second information without any processing on the collected information, so as to judge whether illegal behaviors such as leaving a store, running a store, modifying system time, selling fake and shoddy products and the like exist.
That is, in this step, the electronic device is a prototype in a store. And automatically distinguishing simple illegal behaviors based on literal information of the collected behavior data of the prototype (the first electronic equipment).
In practical application, event information in the process of human interaction can be automatically extracted by means of automatically deployed prototype data acquisition software, and illegal behaviors such as leaving a store, running a store, changing system time, selling counterfeit and shoddy products and the like can be discovered according to information such as space, time and the like in the event information and a pre-maintained knowledge base.
The first information refers to behavior information data generated when the prototype is operated, and can include: prototype names, operation behaviors, operation objects, spatial information, timestamps, and the like.
The second information is store data, and may include: store presence, product listing, business hours, sales rules, spatial information, etc.
Step 402: extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information;
in practical application, a corresponding model is established in a machine learning mode based on sample data, and the use habit corresponding to the first electronic device is determined by using the extracted feature information and the established model.
Wherein the usage habit refers to a behavior habit of a user using the first electronic device.
Step 403: matching the determined use habits with store management information in a database to obtain a second matching result;
here, in this step, the collected data is mined, and the further identification of the complex violation is realized by analyzing the acquired features, patterns or rules. For example: the behavior habit and the work and rest rule of a user are analyzed through information such as the number category of software installed on the prototype, the distribution condition of daily operation content and frequency, the use time range and the like so as to distinguish whether the prototype is sold or not, and the discrimination of charging and sample output is realized.
In actual application, the steps 401 and the steps 402 to 403 are not in sequence in execution.
Step 404: determining and outputting a monitoring result of a store to which the first electronic equipment belongs by using the first matching result and the second matching result;
that is, the first matching result and the second matching result are integrated as the monitoring result of the store.
In practice, the output may be an electronic mailbox sent to the administrator for the administrator to handle the violation.
In practical application, the steps 401 to 404 may be performed periodically, that is, the monitoring result of the store to which the first electronic device belongs is determined periodically and output, so that a manager can know the monitoring condition of the store in time.
Step 405: acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
step 406: when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
step 407: and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
That is to say, for the complaint of the store clerk on a certain analysis result, the corresponding monitoring picture is extracted according to the time clue, the true and false are distinguished by comparing with the evidence provided by the store clerk, and finally the interaction record is sent to the manager.
According to the store monitoring method provided by the embodiment of the invention, the collected first information and second information associated with the first electronic equipment are matched with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information; matching the determined use habits with store management information in a database to obtain a second matching result; by using the scheme of the embodiment of the invention, the monitoring result of the store to which the first electronic device belongs can be determined and output, and by matching the acquired information with the store management information in the database, the monitoring result of the store can be automatically determined, so that the personnel cost can be greatly reduced, and the violation abnormity can be accurately positioned, thereby having the advantages of high efficiency, pertinence, cost saving and the like.
In addition, scene information of a store to which the first electronic equipment belongs is collected in real time by using a camera; when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request; and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, outputting the matching result, and automatically processing the complaint request, so that the personnel cost can be further reduced, and the processing efficiency can be improved.
In summary, as shown in fig. 5, the method provided in the embodiment of the present invention locates the violation type, and counts the violation frequency; and meanwhile, the storefront complaint processing module can be further included, if the storefront has doubt on the analysis result and complaints and refutes, the storefront image can be extracted according to a time clue to further distinguish the authenticity of the evidence provided by the storefront image, and finally all analysis reports and related records are sent to a manager. In addition, a manager can also set the weight or confidence coefficient of the system for analyzing each storefront and the violation behavior according to specific business requirements, namely, the scheme provided by the embodiment of the invention reduces the manpower overhead as much as possible, analyzes the prototype data accurately, efficiently and intelligently, finds the violation behavior in mass data, and forms a report to feed back the manager; meanwhile, the store clerk complaint can be processed to distinguish the true from the false; the monitoring force for each storefront and illegal behaviors is flexibly set according to business requirements, automatic, intelligent, large-scale and systematic storefront management is realized, the labor consumption can be greatly reduced, the inspection range is quickly reduced, the illegal exception is accurately positioned, and the method has the advantages of high efficiency, pertinence, cost saving and the like, and has innovativeness, practicability, expandability and effectiveness.
To implement the method according to the embodiment of the present invention, an embodiment of the present invention provides an electronic device, as shown in fig. 6, where the electronic device includes:
the first matching unit 61 is used for matching the collected first information and second information related to the first electronic device with store management information in the database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs;
a determining unit 62, configured to extract feature information from the behavior information, and determine a usage habit corresponding to the first electronic device based on the feature information;
the second matching unit 63 is used for matching the determined using habits with store management information in the database to obtain a second matching result;
and the processing unit 64 is configured to determine and output a monitoring result of a store to which the first electronic device belongs, by using the first matching result and the second matching result.
Wherein, in some embodiments, the electronic device further comprises: a performance analysis unit to:
calculating a corresponding performance index by using the sales information in the second information;
comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
comparing the obtained service index with the historical service index to obtain a second comparison result;
obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
accordingly, the processing unit 64 is configured to obtain and output a monitoring result of the store to which the first electronic device belongs by using the first matching result, the second matching result, and the obtained performance analysis result.
The first matching unit is further configured to:
judging whether the time information in the behavior information is the same as the corresponding server time or not;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
In some embodiments, the electronic device further comprises: a complaint processing unit for:
acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
In practical applications, the first matching unit 61, the determining unit 62, the second matching unit 63, the processing unit 64, the performance analysis unit, and the complaint processing unit may be implemented by a processor in an electronic device.
It should be noted that: in the electronic device provided in the above embodiment, when performing store monitoring, only the division of the program modules is illustrated, and in practical applications, the processing distribution may be completed by different program modules according to needs, that is, the internal structure of the apparatus may be divided into different program modules to complete all or part of the processing described above. In addition, the electronic device provided by the embodiment and the store monitoring method embodiment belong to the same concept, and the specific implementation process is described in the method embodiment and is not described herein again.
Based on the hardware implementation of the electronic device and the method according to the embodiment of the present invention, an embodiment of the present invention further provides an electronic device, as shown in fig. 7, where the electronic device 70 includes: a processor 71 and a memory 72 for storing computer programs capable of running on the processor,
wherein the processor is configured to execute the steps of the method according to the embodiment of the present invention when the processor runs the computer program.
Of course, in practical applications, the electronic device 70 may further include: a communication interface 73 and a user interface 74. The various components of the electronic device 70 are coupled together by a bus system 74. It will be appreciated that the bus system 75 is used to enable communications among the components. The bus system 75 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 75 in fig. 7.
The number of the processors 71 is at least one.
And the communication interface 73 is used for information interaction with other electronic equipment.
The user interface 74 may include, among other things, a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad, a touch screen, or the like.
The memory 72 may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data rate Synchronous Dynamic Random Access Memory (DDRSDRAM, Double Data Random Access Memory), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), Synchronous link Dynamic Random Access Memory (SLDRAM, Synchronous Dynamic Random Access Memory), Direct Memory (DRmb Access Memory, Random Access Memory). The memory 72 described in embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
The method disclosed in the above embodiments of the present invention may be applied to the processor 71, or implemented by the processor 71. The processor 71 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 71. The Processor 71 may be a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 71 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 72, and the processor 71 reads the information in the memory 72 and performs the steps of the aforementioned methods in conjunction with its hardware.
It should be noted that: the technical schemes described in the embodiments of the present invention can be combined arbitrarily without conflict.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
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 a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
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; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
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: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
In an exemplary embodiment, the present invention further provides a computer readable storage medium, such as a memory 72, comprising a computer program, which is executable by a processor 71 of an electronic device 70 to perform the steps of the aforementioned method. The computer readable storage medium can be Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM; or may be a variety of devices including one or any combination of the above memories, such as a mobile phone, computer, tablet device, personal digital assistant, etc.
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 (10)
1. An store monitoring method comprising:
matching the collected first information and second information associated with the first electronic equipment with store management information in a database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; the first electronic equipment is a model machine in a store;
extracting characteristic information from the behavior information, and determining a use habit corresponding to the first electronic device based on the characteristic information;
matching the determined use habits with store management information in a database to obtain a second matching result; the second matching result is used for judging whether the store has illegal behaviors or not;
and determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
2. The method of claim 1, further comprising:
calculating a corresponding performance index by using the sales information in the second information;
comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
comparing the obtained service index with the historical service index to obtain a second comparison result;
obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
correspondingly, a monitoring result of the store to which the first electronic equipment belongs is obtained and output by utilizing the first matching result, the second matching result and the obtained performance analysis result.
3. The method of claim 1, further comprising:
judging whether the time information in the behavior information is the same as the corresponding server time or not;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
4. The method according to any one of claims 1 to 3, further comprising:
acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
5. The method according to any one of claims 1 to 3, wherein a monitoring result of a store to which the first electronic device belongs is periodically determined and output.
6. An electronic device, comprising:
the first matching unit is used for matching the collected first information and second information associated with the first electronic equipment with store management information in the database to obtain a first matching result; the first information comprises equipment information of the first electronic equipment and behavior information for operating the first electronic equipment; the second information comprises store information to which the first electronic equipment belongs; the first electronic equipment is a model machine in a store;
the determining unit is used for extracting characteristic information from the behavior information and determining the use habit corresponding to the first electronic equipment based on the characteristic information;
the second matching unit is used for matching the determined use habits with store management information in the database to obtain a second matching result; the second matching result is used for judging whether the store has illegal behaviors or not;
and the processing unit is used for determining and outputting a monitoring result of the store to which the first electronic equipment belongs by using the first matching result and the second matching result.
7. The electronic device of claim 6, further comprising: a performance analysis unit to:
calculating a corresponding performance index by using the sales information in the second information;
comparing the obtained performance index with statistical information based on at least two stores to obtain a first comparison result;
comparing the obtained service index with the historical service index to obtain a second comparison result;
obtaining a performance analysis result of a store to which the first electronic equipment belongs by using the first comparison result and the second comparison result;
correspondingly, the processing unit is configured to obtain and output a monitoring result of a store to which the first electronic device belongs by using the first matching result, the second matching result, and the obtained performance analysis result.
8. The electronic device of claim 6, wherein the first matching unit is further configured to:
judging whether the time information in the behavior information is the same as the corresponding server time or not;
when the time information in the behavior information is different from the corresponding server time, correcting the time information in the behavior information by using the server time;
accordingly, after correction, the first information and the second information are matched with store management information in the database.
9. The electronic device of any of claims 6-8, further comprising: a complaint processing unit for:
acquiring scene information of a store to which the first electronic equipment belongs in real time by using a camera;
when a complaint request is received, extracting scene information corresponding to time carried in the complaint request from the scene information according to a time evidence carried in the complaint request;
and matching the extracted scene information with the evidence in the complaint request to obtain a third matching result, and outputting the matching result.
10. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 5 when running the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710875130.3A CN107679145B (en) | 2017-09-25 | 2017-09-25 | Store monitoring method and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710875130.3A CN107679145B (en) | 2017-09-25 | 2017-09-25 | Store monitoring method and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107679145A CN107679145A (en) | 2018-02-09 |
| CN107679145B true CN107679145B (en) | 2020-08-25 |
Family
ID=61137297
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710875130.3A Active CN107679145B (en) | 2017-09-25 | 2017-09-25 | Store monitoring method and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107679145B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116934273A (en) * | 2023-08-15 | 2023-10-24 | 上海赛岩信息咨询有限公司 | Management control method, device, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701864A (en) * | 2013-12-09 | 2014-04-02 | 徐正 | Storefront data real-time analysis system, method, device and server |
| CN105868620A (en) * | 2016-03-23 | 2016-08-17 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN106097011A (en) * | 2016-06-15 | 2016-11-09 | 广州信聚丰信息科技有限公司 | Intelligence shops intelligence patrols shop and consumer behavior Requirement Analysis system |
| CN106211068A (en) * | 2016-06-30 | 2016-12-07 | 联想(北京)有限公司 | A kind of information processing method and server |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9471893B2 (en) * | 2011-09-12 | 2016-10-18 | The Nielsen Company (Us), Llc | Methods and apparatus to monitor products in stores |
-
2017
- 2017-09-25 CN CN201710875130.3A patent/CN107679145B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701864A (en) * | 2013-12-09 | 2014-04-02 | 徐正 | Storefront data real-time analysis system, method, device and server |
| CN105868620A (en) * | 2016-03-23 | 2016-08-17 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN106097011A (en) * | 2016-06-15 | 2016-11-09 | 广州信聚丰信息科技有限公司 | Intelligence shops intelligence patrols shop and consumer behavior Requirement Analysis system |
| CN106211068A (en) * | 2016-06-30 | 2016-12-07 | 联想(北京)有限公司 | A kind of information processing method and server |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107679145A (en) | 2018-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10068136B2 (en) | Event detection based on video metadata | |
| US20160042388A1 (en) | Tracking and analyzing mobile device activity related to mobile display campaigns | |
| CN110428091B (en) | Risk identification method based on data analysis and related equipment | |
| CN103294592B (en) | User instrument is utilized to automatically analyze the method and system of the defect in its service offering alternately | |
| US20180247361A1 (en) | Information processing apparatus, information processing method, wearable terminal, and program | |
| CN109688091B (en) | Multi-source threat intelligence quality evaluation method and device | |
| US20170132523A1 (en) | Periodicity Analysis on Heterogeneous Logs | |
| JP6082341B2 (en) | Abnormality detection apparatus and abnormality detection method | |
| CN106030565B (en) | Use the computer performance prediction of search technique | |
| CN106327230B (en) | Abnormal user detection method and equipment | |
| CN111614483A (en) | Link monitoring method and device, storage medium and computer equipment | |
| CN109102324B (en) | Model training method, and red packet material laying prediction method and device based on model | |
| CN112817814A (en) | Abnormity monitoring method, system, storage medium and electronic device | |
| CN107679145B (en) | Store monitoring method and electronic equipment | |
| CN111292108A (en) | Order counting method, device, equipment and computer readable storage medium | |
| CN104394435A (en) | Digital set top box startup detecting method and device | |
| CN112347068A (en) | Log analysis method and system based on ELK | |
| CN114003567A (en) | Data acquisition method and related device | |
| CN111858285A (en) | Video operation behavior abnormity identification method and device, server and storage medium | |
| CN111382343B (en) | Label system generation method and device | |
| CN112819515A (en) | Resource pushing method and device, electronic equipment and storage medium | |
| CN112612866A (en) | Knowledge base text synchronization method and device, electronic equipment and storage medium | |
| US20210051107A1 (en) | Access origin classification device, access origin classification method, and program | |
| CN111651753A (en) | User behavior analysis system and method | |
| CN110648222A (en) | Analysis method and system for identifying college student network loan risk based on operator data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |