CN111311298A - On-site big data statistical method and storage medium - Google Patents
On-site big data statistical method and storage medium Download PDFInfo
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- CN111311298A CN111311298A CN201910021993.3A CN201910021993A CN111311298A CN 111311298 A CN111311298 A CN 111311298A CN 201910021993 A CN201910021993 A CN 201910021993A CN 111311298 A CN111311298 A CN 111311298A
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Abstract
The invention relates to a field big data statistical method which comprises the step of using a field big data statistical platform to count the number of customers in each supermarket in a city on the basis of removing supermarket staff. The field big data statistical method and the storage medium have certain automation level. On the basis of removing supermarket staff, the number of customers in each supermarket in the city is counted to provide reference data for a supermarket manager to determine a shop opening strategy and a supermarket operation mode, so that the reference data can be provided for the supermarket manager to determine the shop opening strategy and the supermarket operation mode.
Description
Technical Field
The invention relates to the field of big data statistics, in particular to a field big data statistics method and a storage medium.
Background
The supermarket generally refers to a store which mainly manages fresh foods and miscellaneous goods, and mainly displays commodities in an open way, selects and queues for cash settlement by customers. A retail enterprise for self-service purchase and uniform cash register settlement of consumers.
The supermarket mainly distributes food and daily necessities, and is characterized by mainly comprising ① thin goods and multiple sales, basically arranging salesmen to operate middle-low grade commodities on the upper and lower sides, adopting small packages to mark weight, specification and price for ② commodities, ③ arranging trolleys or goods baskets and self-selecting commodities for customers, and ④ settling payment at one time when going out.
In the prior art, the detection of supermarket data in a city needs manual statistics, is simple and rough, cannot count the number of customers in each supermarket in the city on the basis of removing supermarket staff, and cannot provide reference data for a supermarket manager to determine a shop-opening strategy and a supermarket operation mode. Therefore, an automated supermarket data detection mechanism is needed.
Disclosure of Invention
The invention needs to have the following key invention points:
(1) the residual electric quantity is automatically distributed based on the data quantity currently and respectively processed by each device, so that the distribution effect of the residual electric quantity is guaranteed;
(2) when the error rate of the output data of the equipment exceeds the limit, analyzing the source equipment of the input quantity of the equipment so as to execute error rate comparison on each analyzed source equipment, thereby quickly positioning suspicious target error code equipment;
(3) on the basis of removing supermarket staff, the number of customers in each supermarket in the city is counted, and reference data are provided for a supermarket manager to determine a shop opening strategy and a supermarket operation mode.
According to an aspect of the present invention, there is provided a field big data statistics method, the method including using a field big data statistics platform to count the number of customers in each supermarket in a city on the basis of removing the workers in the supermarket, the field big data statistics platform including:
the supermarket monitoring main body comprises panoramic shooting equipment, people flow monitoring equipment, data processing equipment and information notification equipment;
the error rate analysis equipment is connected with an output interface of the people flow monitoring equipment and used for carrying out error rate analysis on output data of the output interface so as to send an error code exceeding signal when the obtained error rate exceeds a preset percentage threshold;
the data analysis equipment is respectively connected with the input interfaces of the error code rate analysis equipment and the people flow monitoring equipment and is used for performing data source analysis on data received by the input interfaces when an error code exceeding signal is received so as to obtain one or more data source equipment;
the DSP processing chip is connected with the data analysis equipment and is used for respectively analyzing the error rate of output data of each data source equipment obtained from the data analysis equipment so as to take the data source equipment with the highest error rate as target error code equipment;
the idle detection device is respectively connected with the data conversion device, the percentage extraction device and the battery analysis device and is used for respectively detecting whether the data conversion device, the percentage extraction device and the battery analysis device are in an idle state or not;
the data conversion equipment is respectively connected with the people flow monitoring equipment, the data processing equipment and the information notification equipment and is used for respectively judging the priority of the people flow monitoring equipment, the priority of the data processing equipment and the priority of the information notification equipment according to the data volume currently and respectively processed by the people flow monitoring equipment, the data processing equipment and the information notification equipment, wherein the priority of the corresponding equipment is higher when the currently processed data volume is larger aiming at the people flow monitoring equipment, the data processing equipment and the information notification equipment;
the percentage extraction device is used for determining the distribution percentage of the residual electric quantity to each device of the people flow monitoring device, the data processing device and the information notification device based on the priorities of the people flow monitoring device, the data processing device and the information notification device when the electric quantity shortage signal is received;
the battery analysis equipment is connected with the battery equipment and used for analyzing the electric quantity of the battery equipment, sending an electric quantity sufficient signal when the electric quantity of the battery equipment exceeds a limit quantity, and sending an electric quantity insufficient signal when the electric quantity of the battery equipment does not exceed the limit quantity;
the people flow monitoring device is used for receiving a supermarket panoramic image output by the panoramic shooting device and acquiring each human body area corresponding to each human body object in the supermarket panoramic image based on human body imaging characteristics;
the data processing equipment is connected with the people flow monitoring equipment and used for distinguishing each human body area based on the clothing imaging characteristics of supermarket staff so as to determine whether the human body area corresponds to the supermarket staff;
the information notification equipment is connected with the data processing equipment and is used for outputting the number of the human body areas which do not correspond to supermarket staff in the supermarket panoramic image as the number of on-site customers;
the information notification equipment notifies the number of the on-site customers to a remote supermarket data summary server through a wireless communication link.
According to still another aspect of the present invention, there is also provided a computer-readable storage medium, having stored thereon a computer program, which when executed, implements the steps of the field big data statistics method as described above.
The field big data statistical method and the storage medium have certain automation level. On the basis of removing supermarket staff, the number of customers in each supermarket in the city is counted to provide reference data for a supermarket manager to determine a shop opening strategy and a supermarket operation mode, so that the reference data can be provided for the supermarket manager to determine the shop opening strategy and the supermarket operation mode.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a supermarket unmanned scene of an on-site big data statistics platform according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In order to overcome the defects, the invention builds a field big data statistical method and a storage medium, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view of a supermarket unmanned scene of an on-site big data statistics platform according to an embodiment of the invention.
The field big data statistical platform shown according to the embodiment of the invention comprises:
the supermarket monitoring main body comprises panoramic shooting equipment, people flow monitoring equipment, data processing equipment and information notification equipment;
the error rate analysis equipment is connected with an output interface of the people flow monitoring equipment and used for carrying out error rate analysis on output data of the output interface so as to send an error code exceeding signal when the obtained error rate exceeds a preset percentage threshold;
the data analysis equipment is respectively connected with the input interfaces of the error code rate analysis equipment and the people flow monitoring equipment and is used for performing data source analysis on data received by the input interfaces when an error code exceeding signal is received so as to obtain one or more data source equipment;
the DSP processing chip is connected with the data analysis equipment and is used for respectively analyzing the error rate of output data of each data source equipment obtained from the data analysis equipment so as to take the data source equipment with the highest error rate as target error code equipment;
the idle detection device is respectively connected with the data conversion device, the percentage extraction device and the battery analysis device and is used for respectively detecting whether the data conversion device, the percentage extraction device and the battery analysis device are in an idle state or not;
the data conversion equipment is respectively connected with the people flow monitoring equipment, the data processing equipment and the information notification equipment and is used for respectively judging the priority of the people flow monitoring equipment, the priority of the data processing equipment and the priority of the information notification equipment according to the data volume currently and respectively processed by the people flow monitoring equipment, the data processing equipment and the information notification equipment, wherein the priority of the corresponding equipment is higher when the currently processed data volume is larger aiming at the people flow monitoring equipment, the data processing equipment and the information notification equipment;
the percentage extraction device is used for determining the distribution percentage of the residual electric quantity to each device of the people flow monitoring device, the data processing device and the information notification device based on the priorities of the people flow monitoring device, the data processing device and the information notification device when the electric quantity shortage signal is received;
the battery analysis equipment is connected with the battery equipment and used for analyzing the electric quantity of the battery equipment, sending an electric quantity sufficient signal when the electric quantity of the battery equipment exceeds a limit quantity, and sending an electric quantity insufficient signal when the electric quantity of the battery equipment does not exceed the limit quantity;
the people flow monitoring device is used for receiving a supermarket panoramic image output by the panoramic shooting device and acquiring each human body area corresponding to each human body object in the supermarket panoramic image based on human body imaging characteristics;
the data processing equipment is connected with the people flow monitoring equipment and used for distinguishing each human body area based on the clothing imaging characteristics of supermarket staff so as to determine whether the human body area corresponds to the supermarket staff;
the information notification equipment is connected with the data processing equipment and is used for outputting the number of the human body areas which do not correspond to supermarket staff in the supermarket panoramic image as the number of on-site customers;
the information notification equipment notifies the number of the on-site customers to a remote supermarket data summary server through a wireless communication link.
Next, the detailed structure of the field big data statistics platform of the present invention will be further described.
In the field big data statistics platform:
in the percentage extraction device, the higher the priority of the people flow monitoring device, the data processing device or the information notification device is, the more the distribution percentage of the corresponding device is, and the electric quantity distributed to the corresponding device is the remaining electric quantity multiplied by the distribution percentage.
In the field big data statistics platform:
the percentage extraction device is further configured to stop the power analysis action on the battery device when the power sufficiency signal is received.
In the field big data statistics platform:
the percentage extraction device is further configured to provide half of the power provided by the data conversion device, the percentage extraction device, or the battery analysis device in the idle state to the corresponding device in the operating state.
In the field big data statistics platform:
and in the DSP processing chip, when the error rates of all the data source devices are the same, all the data source devices are used as target error code devices.
In the field big data statistics platform:
the error rate analysis equipment is also used for sending out an error code normal signal when the obtained error rate does not exceed a preset percentage threshold value.
In the field big data statistics platform:
the data analysis equipment is also used for stopping data source analysis on the data received by the input interface when the error code normal signal is received.
The field big data statistics platform can further comprise:
the liquid crystal display screen is positioned in the supermarket monitoring main body, is connected with the information notification equipment and is used for displaying and processing the number of the human body areas which do not correspond to the supermarket staff in the supermarket panoramic image as the number of the on-site customers in real time;
wherein different ASIC chips are adopted to realize the people flow monitoring device, the data processing device and the information notification device.
Meanwhile, in order to overcome the defects, the invention also builds a field big data statistical method, and the method comprises the step of using the field big data statistical platform to count the number of customers in each supermarket in the city on the basis of removing the supermarket staff.
And, in order to overcome the above disadvantages, the present invention also builds a computer readable storage medium, on which a computer program is stored, and when the computer program is executed, the computer program realizes the steps of the above field big data statistical method.
In addition, the DSP processing chip adopts a Harvard structure with separated programs and data, is provided with a special hardware multiplier, widely adopts pipeline operation, provides special DSP instructions and can be used for quickly realizing various digital signal processing algorithms.
According to the requirement of digital signal processing, a DSP processing chip generally has some main features as follows: (1) one multiply and one add may be done in one instruction cycle. (2) The program and data spaces are separate and instructions and data may be accessed simultaneously. (3) On-chip with fast RAM, it is usually accessible in two blocks simultaneously via separate data buses. (4) Hardware support with low or no overhead loops and jumps. (5) Fast interrupt handling and hardware I/O support. (6) There are multiple hardware address generators operating in a single cycle. (7) Multiple operations may be performed in parallel. (8) And pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A field big data statistics method, the method comprising using a field big data statistics platform to count the number of customers in each supermarket in a city based on the removal of supermarket staff, the field big data statistics platform comprising:
the supermarket monitoring main body comprises panoramic shooting equipment, people flow monitoring equipment, data processing equipment and information notification equipment;
the error rate analysis equipment is connected with an output interface of the people flow monitoring equipment and used for carrying out error rate analysis on output data of the output interface so as to send an error code exceeding signal when the obtained error rate exceeds a preset percentage threshold;
the data analysis equipment is respectively connected with the input interfaces of the error code rate analysis equipment and the people flow monitoring equipment and is used for performing data source analysis on data received by the input interfaces when an error code exceeding signal is received so as to obtain one or more data source equipment;
the DSP processing chip is connected with the data analysis equipment and is used for respectively analyzing the error rate of output data of each data source equipment obtained from the data analysis equipment so as to take the data source equipment with the highest error rate as target error code equipment;
the idle detection device is respectively connected with the data conversion device, the percentage extraction device and the battery analysis device and is used for respectively detecting whether the data conversion device, the percentage extraction device and the battery analysis device are in an idle state or not;
the data conversion equipment is respectively connected with the people flow monitoring equipment, the data processing equipment and the information notification equipment and is used for respectively judging the priority of the people flow monitoring equipment, the priority of the data processing equipment and the priority of the information notification equipment according to the data volume currently and respectively processed by the people flow monitoring equipment, the data processing equipment and the information notification equipment, wherein the priority of the corresponding equipment is higher when the currently processed data volume is larger aiming at the people flow monitoring equipment, the data processing equipment and the information notification equipment;
the percentage extraction device is used for determining the distribution percentage of the residual electric quantity to each device of the people flow monitoring device, the data processing device and the information notification device based on the priorities of the people flow monitoring device, the data processing device and the information notification device when the electric quantity shortage signal is received;
the battery analysis equipment is connected with the battery equipment and used for analyzing the electric quantity of the battery equipment, sending an electric quantity sufficient signal when the electric quantity of the battery equipment exceeds a limit quantity, and sending an electric quantity insufficient signal when the electric quantity of the battery equipment does not exceed the limit quantity;
the people flow monitoring device is used for receiving a supermarket panoramic image output by the panoramic shooting device and acquiring each human body area corresponding to each human body object in the supermarket panoramic image based on human body imaging characteristics;
the data processing equipment is connected with the people flow monitoring equipment and used for distinguishing each human body area based on the clothing imaging characteristics of supermarket staff so as to determine whether the human body area corresponds to the supermarket staff;
the information notification equipment is connected with the data processing equipment and is used for outputting the number of the human body areas which do not correspond to supermarket staff in the supermarket panoramic image as the number of on-site customers;
the information notification equipment notifies the number of the on-site customers to a remote supermarket data summary server through a wireless communication link.
2. The method of claim 1, wherein:
in the percentage extraction device, the higher the priority of the people flow monitoring device, the data processing device or the information notification device is, the more the distribution percentage of the corresponding device is, and the electric quantity distributed to the corresponding device is the remaining electric quantity multiplied by the distribution percentage.
3. The method of claim 2, wherein:
the percentage extraction device is further configured to stop the power analysis action on the battery device when the power sufficiency signal is received.
4. The method of claim 3, wherein:
the percentage extraction device is further configured to provide half of the power provided by the data conversion device, the percentage extraction device, or the battery analysis device in the idle state to the corresponding device in the operating state.
5. The method of claim 4, wherein:
and in the DSP processing chip, when the error rates of all the data source devices are the same, all the data source devices are used as target error code devices.
6. The method of claim 5, wherein:
the error rate analysis equipment is also used for sending out an error code normal signal when the obtained error rate does not exceed a preset percentage threshold value.
7. The method of claim 6, wherein:
the data analysis equipment is also used for stopping data source analysis on the data received by the input interface when the error code normal signal is received.
8. The method of claim 7, wherein the platform further comprises:
the liquid crystal display screen is positioned in the supermarket monitoring main body, is connected with the information notification equipment and is used for displaying and processing the number of the human body areas which do not correspond to the supermarket staff in the supermarket panoramic image as the number of the on-site customers in real time;
wherein different ASIC chips are adopted to realize the people flow monitoring device, the data processing device and the information notification device.
9. A computer-readable storage medium, having stored thereon a computer program which, when executed, performs the steps of the method of claim 8.
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