CN114022201A - Milk tea sales data statistics device based on high in clouds - Google Patents
Milk tea sales data statistics device based on high in clouds Download PDFInfo
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Abstract
The invention discloses a milk tea sales data statistical device based on a cloud end, which comprises a position information acquisition module, a data processing module and a data processing module, wherein the position information acquisition module is used for acquiring position information of milk tea equipment; the sales data acquisition module is used for acquiring sales data of the milk tea equipment; the first control module is used for packaging the position information and the sales data to obtain a data packet and sending the data packet to a cloud server through a wireless communication module; the cloud server is used for receiving and analyzing the plurality of data packets to obtain a plurality of position information and a plurality of sales data, clustering the plurality of position information to obtain a plurality of cluster sets, and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store. Has the advantages that: the full-automatic intelligent sales data of the milk tea in each store are counted, the labor cost is reduced, and the operation condition analysis and the market situation analysis of the milk tea stores are realized.
Description
Technical Field
The invention relates to the technical field of data statistics, in particular to a milk tea sales data statistics device based on a cloud end.
Background
In the prior art, the milk tea sales data are counted manually, time and labor are wasted, errors are more, the consumption range of consumers is not limited to the place where a single milk tea sales store is located along with the rise of the Internet, a plurality of milk tea sales stores can generate a large amount of sales data every day, the milk tea sales data are inconvenient to manage through manual counting, and the cost is high.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, the invention aims to provide a cloud-based milk tea sales data statistical device which can be used for carrying out full-automatic and intelligent statistics on the sales data of milk tea in each store, reducing the labor cost and realizing the operation condition analysis and market situation analysis of the milk tea stores.
In order to achieve the above purpose, the invention provides a milk tea sales data statistical device based on a cloud end, comprising:
the milk tea processing device comprises a position information acquisition module, a position information processing module and a control module, wherein the position information acquisition module is arranged on milk tea equipment and is used for acquiring position information of the milk tea equipment;
the milk tea device comprises a milk tea device, a sales data acquisition module and a display module, wherein the milk tea device is used for providing milk tea for a user; the sales data comprises the types and the number of the milk tea sold;
the first control module is arranged on the milk tea equipment and used for packaging the position information and the sales data to obtain a data packet and sending the data packet to a cloud server through a wireless communication module;
the cloud server is used for receiving and analyzing the plurality of data packets to obtain a plurality of position information and a plurality of sales data, clustering the plurality of position information to obtain a plurality of cluster sets, and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
Further, the cloud server is further used for obtaining total sales data according to the sales data statistics of each store and sending the total sales data to the mobile terminal.
Further, the clustering the plurality of location information to obtain a plurality of cluster sets, and calculating sales data corresponding to the location information in each cluster set to obtain sales data of each store, includes:
randomly selecting one piece of position information from the plurality of pieces of position information to be used as first position information, obtaining a first distance between the first position information and each piece of position information in the plurality of pieces of position information, generating a first cluster set according to the position information of which the first distance is smaller than a preset distance and the first position information, and removing the position information included in the first cluster set from the plurality of pieces of position information;
randomly selecting one piece of position information from the plurality of pieces of position information after being subjected to the elimination processing to be used as second position information, obtaining a second distance between the second position information and each piece of position information in the plurality of pieces of position information, generating a second clustering set according to the position information of which the second distance is smaller than a preset distance and the second position information, eliminating the position information included in the second clustering set from the plurality of pieces of position information, and repeating the steps until all the plurality of pieces of position information are clustered to obtain a plurality of clustering sets;
and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
Further, still include:
the fault detection module is arranged on the milk tea equipment and used for carrying out fault detection on the milk tea equipment to obtain a detection result;
the first control module is further configured to determine a fault type when the detection result is determined to be a fault, query a preset fault type-fault code table according to the fault type to obtain a corresponding fault code, and send the fault code to a maintenance staff terminal through the wireless communication module.
Further, still include:
the receiving module is arranged on the milk tea equipment and used for receiving the milk tea formula sent by the cloud server;
the display module is arranged on the milk tea equipment and used for displaying the milk tea formula.
Further, the location information acquiring module includes:
the first positioning signal acquisition module is used for acquiring a first positioning signal sent by a positioning satellite; the first positioning signal is a GPS signal in an L1 frequency band;
the second positioning signal acquisition module is used for acquiring a second positioning signal sent by a positioning satellite; the second positioning signal is a GPS signal in an L2 frequency band;
a positioning signal processing module for:
performing signal segmentation processing on the first positioning signal to obtain a plurality of sub first positioning signals; each sub first positioning signal comprises a plurality of first sampling points;
respectively acquiring first energy of each first sampling point, judging whether the first energy is greater than preset energy, and taking the first sampling point with the first energy greater than the preset energy as a first interference signal point;
respectively judging whether each sub-first positioning signal comprises the first interference signal point, and screening out the sub-first positioning signals which do not comprise the first interference signal point to serve as first retention signals;
screening out a sub first positioning signal comprising the first interference signal point as a first signal to be processed;
respectively calculating a first energy average value of a first interference signal point included in each first signal to be processed, obtaining a first interference grade of each first signal to be processed according to the first energy average value, inquiring a preset interference grade-interference suppression function table according to the first interference grade to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding first signal to be processed according to the interference suppression function;
generating a third positioning signal according to the first retention signal and the first signal to be processed after the interference suppression processing;
performing signal segmentation processing on the second positioning signal to obtain a plurality of sub-second positioning signals; each sub second positioning signal comprises a plurality of second sampling points;
respectively acquiring second energy of each second sampling point, judging whether the second energy is greater than preset energy, and taking the second sampling point with the second energy greater than the preset energy as a second interference signal point;
respectively judging whether each sub-second positioning signal comprises the second interference signal point, and screening out the sub-second positioning signals which do not comprise the second interference signal point as second reserved signals;
screening out a sub second positioning signal comprising the second interference signal point as a second signal to be processed;
respectively calculating a second energy average value of a second interference signal point included in each second signal to be processed, obtaining a second interference level of each second signal to be processed according to the second energy average value, inquiring a preset interference level-interference suppression function table according to the second interference level to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding second signal to be processed according to the interference suppression function;
generating a fourth positioning signal according to the second reserved signal and a second signal to be processed after interference suppression processing;
the signal combining module is used for inputting the third positioning signal and the fourth positioning signal into a combiner for combining processing to obtain a fifth positioning signal;
and the analysis module is used for analyzing the fifth positioning signal to obtain the position information of the milk tea equipment.
Further, before packaging the position information and the sales data, data preprocessing is performed on the sales data.
Further, the sales data is subjected to data preprocessing, including:
acquiring a numeric character string included in the sales data; the digital character string comprises a plurality of digital characters;
extracting a first preset number of digital characters from the digital character string from front to back as front-segment characters;
extracting a second preset number of digital characters from the rear to the front in the digital character string to serve as the rear-segment characters;
taking the front-segment character and the rear-segment character as boundary characters;
taking the rest characters of the digital character string except the boundary characters as middle characters;
performing hash operation on the boundary character based on a preset hash algorithm to obtain a hash value corresponding to the boundary character;
calculating the hash value based on a binary conversion algorithm, and converting the binary hash value into a decimal operation value;
performing mixed encryption calculation on the operation value and the intermediate character based on a preset mixed encryption algorithm to obtain an encrypted digital character string;
replacing the digital character string according to the encrypted digital character string to obtain encrypted sales data;
compressing the encrypted sales data according to a plurality of compression algorithms in a preset compression algorithm library to obtain a plurality of compressed encrypted sales data;
acquiring a first reading time of the encrypted sales data;
respectively acquiring second reading time of the compressed encrypted sales data;
respectively acquiring the data volume of the compressed encrypted sales data;
calculating a compression evaluation value of each compressed encrypted sales data according to the first reading time, the second reading time of each compressed encrypted sales data and the data volume of each compressed encrypted sales data;
and sequencing the compression evaluation values in a descending order, screening out the smallest compression evaluation value, and taking the compressed and encrypted sales data corresponding to the smallest compression evaluation value as the sales data to be packaged.
Further, before sending the data packet to a cloud server through a wireless communication module, the method further includes evaluating a plurality of transmission channels included in the wireless communication module to obtain a plurality of evaluation values, sorting the plurality of evaluation values in a descending order, screening out a maximum evaluation value, obtaining a transmission channel corresponding to the maximum evaluation value as a target transmission channel, and transmitting the position information and the sales data according to the target transmission channel.
Further, before analyzing the fifth positioning signal, the analysis module further performs signal amplification processing on the fifth positioning signal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of a cloud-based milk tea sales data statistics apparatus according to a first embodiment of the present invention;
fig. 2 is a block diagram of a cloud-based milk tea sales data statistics apparatus according to a second embodiment of the present invention;
fig. 3 is a block diagram of a cloud-based milk tea sales data statistics apparatus according to a third embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The cloud-based milk tea sales data statistical device provided by the embodiment of the invention is described below with reference to fig. 1 to 3.
As shown in fig. 1, a milk tea sales data statistics device based on cloud includes:
the milk tea processing device comprises a position information acquisition module, a position information processing module and a control module, wherein the position information acquisition module is arranged on milk tea equipment and is used for acquiring position information of the milk tea equipment;
the milk tea device comprises a milk tea device, a sales data acquisition module and a display module, wherein the milk tea device is used for providing milk tea for a user; the sales data comprises the types and the number of the milk tea sold;
the first control module is arranged on the milk tea equipment and used for packaging the position information and the sales data to obtain a data packet and sending the data packet to a cloud server through a wireless communication module;
the cloud server is used for receiving and analyzing the plurality of data packets to obtain a plurality of position information and a plurality of sales data, clustering the plurality of position information to obtain a plurality of cluster sets, and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
The working principle of the scheme is as follows: the position information acquisition module is used for acquiring the position information of the milk tea equipment; the sales data acquisition module is used for acquiring sales data of the milk tea equipment; the sales data comprises the types and the number of the milk tea sold; the first control module is used for packaging the position information and the sales data to obtain a data packet and sending the data packet to a cloud server through a wireless communication module; the cloud server is used for receiving and analyzing the plurality of data packets to obtain a plurality of position information and a plurality of sales data, clustering the plurality of position information to obtain a plurality of cluster sets, and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
The beneficial effect of above-mentioned scheme: the full-automatic intelligent sales data of the milk tea in each store are counted, the labor cost is reduced, and the operation condition analysis and the market situation analysis of the milk tea stores are realized.
According to some embodiments of the present invention, the cloud server is further configured to obtain total sales data according to the sales data statistics of each store, and send the total sales data to the mobile terminal.
The working principle of the scheme is as follows: and the cloud server is further used for obtaining total sales data according to the sales data statistics of each store and sending the total sales data to the mobile terminal.
The beneficial effect of above-mentioned scheme: the convenience is brought to the general store to know the market condition.
According to some embodiments of the invention, the cloud server is further configured to analyze sales data of each store.
The working principle and the beneficial effects of the scheme are as follows: the store can know the taste, the preference and the consumption habit of the customer through data analysis. The total cup number sold in the same day or the turnover number in the same month can be known, so that the market situation can be conveniently known, and the countermeasure can be conveniently taken.
According to some embodiments of the present invention, the clustering the plurality of location information to obtain a plurality of cluster sets, and calculating sales data corresponding to the location information in each cluster set to obtain sales data of each store, includes:
randomly selecting one piece of position information from the plurality of pieces of position information to be used as first position information, obtaining a first distance between the first position information and each piece of position information in the plurality of pieces of position information, generating a first cluster set according to the position information of which the first distance is smaller than a preset distance and the first position information, and removing the position information included in the first cluster set from the plurality of pieces of position information;
randomly selecting one piece of position information from the plurality of pieces of position information after being subjected to the elimination processing to be used as second position information, obtaining a second distance between the second position information and each piece of position information in the plurality of pieces of position information, generating a second clustering set according to the position information of which the second distance is smaller than a preset distance and the second position information, eliminating the position information included in the second clustering set from the plurality of pieces of position information, and repeating the steps until all the plurality of pieces of position information are clustered to obtain a plurality of clustering sets;
and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
The working principle of the scheme is as follows: randomly selecting one piece of position information from the plurality of pieces of position information to be used as first position information, obtaining a first distance between the first position information and each piece of position information in the plurality of pieces of position information, generating a first cluster set according to the position information of which the first distance is smaller than a preset distance and the first position information, and removing the position information included in the first cluster set from the plurality of pieces of position information; randomly selecting one piece of position information from the plurality of pieces of position information after being subjected to the elimination processing to be used as second position information, obtaining a second distance between the second position information and each piece of position information in the plurality of pieces of position information, generating a second clustering set according to the position information of which the second distance is smaller than a preset distance and the second position information, eliminating the position information included in the second clustering set from the plurality of pieces of position information, and repeating the steps until all the plurality of pieces of position information are clustered to obtain a plurality of clustering sets; each cluster set is the number of milk tea equipment included in each store, and one cluster set represents one milk tea store; and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
The beneficial effect of above-mentioned scheme: the position information is clustered through the distance of the position information, the similar position information is clustered into one class, and the accuracy of the final clustering result is guaranteed to the maximum extent.
As shown in fig. 2, according to some embodiments of the invention, further comprising:
the fault detection module is arranged on the milk tea equipment and used for carrying out fault detection on the milk tea equipment to obtain a detection result;
the first control module is further configured to determine a fault type when the detection result is determined to be a fault, query a preset fault type-fault code table according to the fault type to obtain a corresponding fault code, and send the fault code to a maintenance staff terminal through the wireless communication module.
The working principle of the scheme is as follows: the fault detection module is arranged on the milk tea equipment and used for carrying out fault detection on the milk tea equipment to obtain a detection result; the first control module is further configured to determine a fault type when the detection result is determined to be a fault, query a preset fault type-fault code table according to the fault type to obtain a corresponding fault code, and send the fault code to a maintenance staff terminal through the wireless communication module.
The beneficial effect of above-mentioned scheme: the milk tea machine fault analysis system has the function of fault automatic identification, statistics and analysis, a background can conveniently know the position of a fault machine and the fault reason in time, maintenance personnel can maintain the milk tea machine in time, the working state of the milk tea machine is guaranteed, fault information data can be collected, the fault condition of the equipment is analyzed and counted, and the equipment is convenient to upgrade and optimize.
According to some embodiments of the invention, further comprising:
the receiving module is arranged on the milk tea equipment and used for receiving the milk tea formula sent by the cloud server;
the display module is arranged on the milk tea equipment and used for displaying the milk tea formula.
The working principle of the scheme is as follows: the receiving module is arranged on the milk tea equipment and used for receiving the milk tea formula sent by the cloud server; the display module is arranged on the milk tea equipment and used for displaying the milk tea formula.
The beneficial effect of above-mentioned scheme: the head office uniformly manages the dosage of the milk tea ingredients of each branch shop through the cloud server, and milk tea with uniform taste can be conveniently made.
As shown in fig. 3, according to some embodiments of the present invention, the location information acquiring module includes:
the first positioning signal acquisition module is used for acquiring a first positioning signal sent by a positioning satellite; the first positioning signal is a GPS signal in an L1 frequency band;
the second positioning signal acquisition module is used for acquiring a second positioning signal sent by a positioning satellite; the second positioning signal is a GPS signal in an L2 frequency band;
a positioning signal processing module for:
performing signal segmentation processing on the first positioning signal to obtain a plurality of sub first positioning signals; each sub first positioning signal comprises a plurality of first sampling points;
respectively acquiring first energy of each first sampling point, judging whether the first energy is greater than preset energy, and taking the first sampling point with the first energy greater than the preset energy as a first interference signal point;
respectively judging whether each sub-first positioning signal comprises the first interference signal point, and screening out the sub-first positioning signals which do not comprise the first interference signal point to serve as first retention signals;
screening out a sub first positioning signal comprising the first interference signal point as a first signal to be processed;
respectively calculating a first energy average value of a first interference signal point included in each first signal to be processed, obtaining a first interference grade of each first signal to be processed according to the first energy average value, inquiring a preset interference grade-interference suppression function table according to the first interference grade to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding first signal to be processed according to the interference suppression function;
generating a third positioning signal according to the first retention signal and the first signal to be processed after the interference suppression processing;
performing signal segmentation processing on the second positioning signal to obtain a plurality of sub-second positioning signals; each sub second positioning signal comprises a plurality of second sampling points;
respectively acquiring second energy of each second sampling point, judging whether the second energy is greater than preset energy, and taking the second sampling point with the second energy greater than the preset energy as a second interference signal point;
respectively judging whether each sub-second positioning signal comprises the second interference signal point, and screening out the sub-second positioning signals which do not comprise the second interference signal point as second reserved signals;
screening out a sub second positioning signal comprising the second interference signal point as a second signal to be processed;
respectively calculating a second energy average value of a second interference signal point included in each second signal to be processed, obtaining a second interference level of each second signal to be processed according to the second energy average value, inquiring a preset interference level-interference suppression function table according to the second interference level to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding second signal to be processed according to the interference suppression function;
generating a fourth positioning signal according to the second reserved signal and a second signal to be processed after interference suppression processing;
the signal combining module is used for inputting the third positioning signal and the fourth positioning signal into a combiner for combining processing to obtain a fifth positioning signal;
and the analysis module is used for analyzing the fifth positioning signal to obtain the position information of the milk tea equipment.
The working principle of the scheme is as follows: the first positioning signal acquisition module is used for acquiring a first positioning signal sent by a positioning satellite; the first positioning signal is a GPS signal of an L1 frequency band, wherein the L1 frequency band is 1575.42 +/-1.023 MHz; the second positioning signal acquisition module is used for acquiring a second positioning signal sent by a positioning satellite; the second positioning signal is a GPS signal in an L2 frequency band, wherein the L2 frequency band is 1227.60 +/-1.023 MHz; the positioning signal processing module is used for carrying out signal segmentation processing on the first positioning signal to obtain a plurality of sub-first positioning signals; each sub first positioning signal comprises a plurality of first sampling points; respectively acquiring first energy of each first sampling point, judging whether the first energy is greater than preset energy, and taking the first sampling point with the first energy greater than the preset energy as a first interference signal point; respectively judging whether each sub-first positioning signal comprises the first interference signal point, and screening out the sub-first positioning signals which do not comprise the first interference signal point to serve as first retention signals; screening out a sub first positioning signal comprising the first interference signal point as a first signal to be processed; respectively calculating a first energy average value of a first interference signal point included in each first signal to be processed, obtaining a first interference grade of each first signal to be processed according to the first energy average value, inquiring a preset interference grade-interference suppression function table according to the first interference grade to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding first signal to be processed according to the interference suppression function; generating a third positioning signal according to the first retention signal and the first signal to be processed after the interference suppression processing; performing signal segmentation processing on the second positioning signal to obtain a plurality of sub-second positioning signals; each sub second positioning signal comprises a plurality of second sampling points; respectively acquiring second energy of each second sampling point, judging whether the second energy is greater than preset energy, and taking the second sampling point with the second energy greater than the preset energy as a second interference signal point; respectively judging whether each sub-second positioning signal comprises the second interference signal point, and screening out the sub-second positioning signals which do not comprise the second interference signal point as second reserved signals; screening out a sub second positioning signal comprising the second interference signal point as a second signal to be processed; respectively calculating a second energy average value of a second interference signal point included in each second signal to be processed, obtaining a second interference level of each second signal to be processed according to the second energy average value, inquiring a preset interference level-interference suppression function table according to the second interference level to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding second signal to be processed according to the interference suppression function; generating a fourth positioning signal according to the second reserved signal and a second signal to be processed after interference suppression processing; the signal combining module is used for inputting the third positioning signal and the fourth positioning signal into a combiner for combining processing to obtain a fifth positioning signal; and the analysis module is used for analyzing the fifth positioning signal to obtain the position information of the milk tea equipment.
The beneficial effect of above-mentioned scheme: each milk tea store comprises a plurality of milk tea devices, each milk tea device is provided with a position information acquisition module, the position information of each milk tea device is acquired so as to finally obtain a plurality of milk tea devices included in each branch store, and further statistics of sales data of the milk tea store is realized, therefore, accurate acquisition of the position information of the milk tea devices is necessary, the traditional position information acquisition is realized by analyzing a single-frequency-band positioning signal, the method for acquiring the position information through a double-frequency-band positioning signal is provided, the finally obtained position information is more accurate, the accuracy of final clustering of the position information is improved, and further the accuracy of finally obtained sales data of each milk tea store is ensured, the positioning signal processing module obtains a first interference level of each first signal to be processed according to a first energy average value of a first interference signal point included in each first signal to be processed, obtaining a corresponding interference suppression function according to the first interference level, and performing interference suppression processing on the corresponding first signal to be processed according to the interference suppression function, so that the finally obtained third positioning signal is free from noise interference and is cleaner and clearer; obtaining a second interference grade of each second signal to be processed according to a second energy average value of a second interference signal point included in each second signal to be processed, obtaining a corresponding interference suppression function according to the second interference grade, and performing interference suppression processing on the corresponding second signal to be processed according to the interference suppression function, so that a finally obtained fourth positioning signal is free from noise interference and is cleaner and clearer; finally, signal combination is carried out on the third positioning signal and the fourth positioning signal to obtain a fifth signal, signal analysis is carried out on the fifth signal, and finally position information of the milk tea equipment is obtained; positioning is carried out by acquiring positioning signals of two frequency bands, errors caused by an ionized layer are eliminated, and the distance measurement precision is improved, so that the positioning accuracy of the milk tea equipment is improved.
According to some embodiments of the present invention, before packaging the location information and the sales data, the method further comprises performing data preprocessing on the sales data.
The working principle of the scheme is as follows: and before packaging the position information and the sales data, carrying out data preprocessing on the sales data, wherein the preprocessing comprises encrypting and compressing the sales data.
The beneficial effect of above-mentioned scheme: and the sales data is subjected to data preprocessing, so that the safety and the simplest of the preprocessed sales data are ensured.
According to some embodiments of the invention, the sales data is data pre-processed, comprising:
acquiring a numeric character string included in the sales data; the digital character string comprises a plurality of digital characters;
extracting a first preset number of digital characters from the digital character string from front to back as front-segment characters;
extracting a second preset number of digital characters from the rear to the front in the digital character string to serve as the rear-segment characters;
taking the front-segment character and the rear-segment character as boundary characters;
taking the rest characters of the digital character string except the boundary characters as middle characters;
performing hash operation on the boundary character based on a preset hash algorithm to obtain a hash value corresponding to the boundary character;
calculating the hash value based on a binary conversion algorithm, and converting the binary hash value into a decimal operation value;
performing mixed encryption calculation on the operation value and the intermediate character based on a preset mixed encryption algorithm to obtain an encrypted digital character string;
replacing the digital character string according to the encrypted digital character string to obtain encrypted sales data;
compressing the encrypted sales data according to a plurality of compression algorithms in a preset compression algorithm library to obtain a plurality of compressed encrypted sales data;
acquiring a first reading time of the encrypted sales data;
respectively acquiring second reading time of the compressed encrypted sales data;
respectively acquiring the data volume of the compressed encrypted sales data;
calculating a compression evaluation value of each compressed encrypted sales data according to the first reading time, the second reading time of each compressed encrypted sales data and the data volume of each compressed encrypted sales data;
and sequencing the compression evaluation values in a descending order, screening out the smallest compression evaluation value, and taking the compressed and encrypted sales data corresponding to the smallest compression evaluation value as the sales data to be packaged.
The working principle of the scheme is as follows: acquiring a numeric character string included in the sales data; the digital character string comprises a plurality of digital characters; extracting a first preset number of digital characters from the digital character string from front to back as front-segment characters; extracting a second preset number of digital characters from the rear to the front in the digital character string to serve as the rear-segment characters; taking the front-segment character and the rear-segment character as boundary characters; taking the rest characters of the digital character string except the boundary characters as middle characters; performing hash operation on the boundary character based on a preset hash algorithm to obtain a hash value corresponding to the boundary character; calculating the hash value based on a binary conversion algorithm, and converting the binary hash value into a decimal operation value; performing mixed encryption calculation on the operation value and the intermediate character based on a preset mixed encryption algorithm to obtain an encrypted digital character string; replacing the digital character string according to the encrypted digital character string to obtain encrypted sales data; compressing the encrypted sales data according to a plurality of compression algorithms in a preset compression algorithm library to obtain a plurality of compressed encrypted sales data; acquiring a first reading time of the encrypted sales data; respectively acquiring second reading time of the compressed encrypted sales data; respectively acquiring the data volume of the compressed encrypted sales data; calculating a compression evaluation value of each compressed encrypted sales data according to the first reading time, the second reading time of each compressed encrypted sales data and the data volume of each compressed encrypted sales data; a compression evaluation value W of the compressed encrypted sales data is calculated as shown in formula (1):
wherein, T1Is a first read time for the encrypted sales data; t is2A second read time for the compressed encrypted sales data; c is the data volume of the compressed encrypted sales data;
and sequencing the compression evaluation values in a descending order, screening out the smallest compression evaluation value, and taking the compressed and encrypted sales data corresponding to the smallest compression evaluation value as the sales data to be packaged.
The beneficial effect of above-mentioned scheme: the sales data is extremely easy to steal without distribution in the transmission process, and the stealing of the sales data is fatal in the competition of the same party, so that how to protect the sales data and prevent the theft by the distributor is critical, and the most important sales quantity in the sales data, namely the digital characters in the sales data, aims at the characteristic that the digital characters in the sales data are encrypted and compressed. Different encryption calculation methods are respectively adopted to encrypt the middle character and the boundary character, and the calculation result of the boundary character is added into the middle character, so that the complexity and the safety of the encryption of the digital characters in the sales data are improved; compressing the encrypted sales data according to a plurality of compression algorithms in a preset compression algorithm library to obtain a plurality of compressed encrypted sales data; acquiring a first reading time of the encrypted sales data; respectively acquiring second reading time of the compressed encrypted sales data; respectively acquiring the data volume of the compressed encrypted sales data; calculating a compression evaluation value of each compressed encrypted sales data according to the first reading time, the second reading time of each compressed encrypted sales data and the data volume of each compressed encrypted sales data; sequencing the compression evaluation values in a descending order, screening out the smallest compression evaluation value, taking the compression encryption sales data corresponding to the smallest compression evaluation value as the sales data to be packaged, and taking the compression encryption sales data with the smallest compression evaluation value as the compression encryption sales data with the best compression effect; by selecting the optimal compression algorithm from the plurality of compression algorithms, the obtained sales data to be packaged is ensured to be the optimal compressed encrypted sales data, and the timeliness and the safety of subsequent transmission are ensured.
According to some embodiments of the present invention, before sending a data packet to a cloud server through a wireless communication module, the method further includes evaluating a plurality of transmission channels included in the wireless communication module to obtain a plurality of evaluation values, sorting the plurality of evaluation values in descending order, and screening out a largest evaluation value, obtaining a transmission channel corresponding to the largest evaluation value as a target transmission channel, and transmitting the location information and the sales data according to the target transmission channel.
The working principle of the scheme is as follows: before sending the data packet to a cloud server through a wireless communication module, the method further comprises the steps of evaluating a plurality of transmission channels included by the wireless communication module to obtain a plurality of evaluation values, sequencing the plurality of evaluation values from large to small, screening out the largest evaluation value, obtaining the transmission channel corresponding to the largest evaluation value as a target transmission channel, and transmitting the position information and the sales data according to the target transmission channel.
The beneficial effect of above-mentioned scheme: the transmission channel with the largest evaluation value, namely the transmission channel with the best transmission performance, is selected as the target transmission channel, so that the safety of data packet transmission is improved, the transmission efficiency of the data packet is ensured, the transmission time is reduced, and the timeliness of the data packet transmission is ensured.
According to some embodiments of the invention, the analyzing module further comprises performing signal amplification processing on the fifth positioning signal before analyzing the fifth positioning signal.
The working principle of the scheme is as follows: before analyzing the fifth positioning signal, the method further comprises the step of performing signal amplification processing on the fifth positioning signal.
The beneficial effect of above-mentioned scheme: and amplifying the details in the fifth positioning signal, so that the details in the amplified fifth signal are clearer, and the accuracy of the final analysis result is improved.
According to some embodiments of the present invention, a transmission channel is evaluated and an evaluation value λ is calculated, as shown in formula (2):
wherein, β is the transmission duration of the transmission channel to a preset data packet; k is the transmission coefficient of the transmission channel, and the value range is (0.2, 0.8); psi1Is the transmission power of the pilot signal in the transmission channel; psi2Noise power of pilot signal in the transmission channel; p is the probability of the transmission channel being interfered; wherein the transmission coefficient is the communication quality of the transmission channelA measure of the quantity; the size of the preset transmission packet is 2M.
The working principle and the beneficial effects of the scheme are as follows: when the transmission channel is evaluated, factors such as the transmission time of the transmission channel to a preset data packet, the transmission coefficient of the transmission channel, the transmission power of the pilot signal in the transmission channel, the noise power of the pilot signal in the transmission channel and the like are considered, so that the calculated evaluation value is more accurate.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The utility model provides a milk tea sales data statistics device based on high in clouds which characterized in that includes:
the milk tea processing device comprises a position information acquisition module, a position information processing module and a control module, wherein the position information acquisition module is arranged on milk tea equipment and is used for acquiring position information of the milk tea equipment;
the milk tea device comprises a milk tea device, a sales data acquisition module and a display module, wherein the milk tea device is used for providing milk tea for a user; the sales data comprises the types and the number of the milk tea sold;
the first control module is arranged on the milk tea equipment and used for packaging the position information and the sales data to obtain a data packet and sending the data packet to a cloud server through a wireless communication module;
the cloud server is used for receiving and analyzing the plurality of data packets to obtain a plurality of position information and a plurality of sales data, clustering the plurality of position information to obtain a plurality of cluster sets, and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
2. The cloud-based milk tea sales data statistics device according to claim 1, wherein the cloud server is further configured to obtain total sales data according to the sales data statistics of each store, and send the total sales data to the mobile terminal.
3. The cloud-based milk tea sales data statistics device according to claim 1, wherein the clustering the plurality of location information to obtain a plurality of cluster sets, and calculating sales data corresponding to the location information in each cluster set to obtain sales data of each store comprises:
randomly selecting one piece of position information from the plurality of pieces of position information to be used as first position information, obtaining a first distance between the first position information and each piece of position information in the plurality of pieces of position information, generating a first cluster set according to the position information of which the first distance is smaller than a preset distance and the first position information, and removing the position information included in the first cluster set from the plurality of pieces of position information;
randomly selecting one piece of position information from the plurality of pieces of position information after being subjected to the elimination processing to be used as second position information, obtaining a second distance between the second position information and each piece of position information in the plurality of pieces of position information, generating a second clustering set according to the position information of which the second distance is smaller than a preset distance and the second position information, eliminating the position information included in the second clustering set from the plurality of pieces of position information, and repeating the steps until all the plurality of pieces of position information are clustered to obtain a plurality of clustering sets;
and calculating the sales data corresponding to the position information in each cluster set to obtain the sales data of each store.
4. The cloud-based milk tea sales data statistics apparatus according to claim 1, further comprising:
the fault detection module is arranged on the milk tea equipment and used for carrying out fault detection on the milk tea equipment to obtain a detection result;
the first control module is further configured to determine a fault type when the detection result is determined to be a fault, query a preset fault type-fault code table according to the fault type to obtain a corresponding fault code, and send the fault code to a maintenance staff terminal through the wireless communication module.
5. The cloud-based milk tea sales data statistics apparatus according to claim 1, further comprising:
the receiving module is arranged on the milk tea equipment and used for receiving the milk tea formula sent by the cloud server;
the display module is arranged on the milk tea equipment and used for displaying the milk tea formula.
6. The cloud-based milk tea sales data statistics device according to claim 1, wherein the location information obtaining module comprises:
the first positioning signal acquisition module is used for acquiring a first positioning signal sent by a positioning satellite; the first positioning signal is a GPS signal in an L1 frequency band;
the second positioning signal acquisition module is used for acquiring a second positioning signal sent by a positioning satellite; the second positioning signal is a GPS signal in an L2 frequency band;
a positioning signal processing module for:
performing signal segmentation processing on the first positioning signal to obtain a plurality of sub first positioning signals; each sub first positioning signal comprises a plurality of first sampling points;
respectively acquiring first energy of each first sampling point, judging whether the first energy is greater than preset energy, and taking the first sampling point with the first energy greater than the preset energy as a first interference signal point;
respectively judging whether each sub-first positioning signal comprises the first interference signal point, and screening out the sub-first positioning signals which do not comprise the first interference signal point to serve as first retention signals;
screening out a sub first positioning signal comprising the first interference signal point as a first signal to be processed;
respectively calculating a first energy average value of a first interference signal point included in each first signal to be processed, obtaining a first interference grade of each first signal to be processed according to the first energy average value, inquiring a preset interference grade-interference suppression function table according to the first interference grade to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding first signal to be processed according to the interference suppression function;
generating a third positioning signal according to the first retention signal and the first signal to be processed after the interference suppression processing;
performing signal segmentation processing on the second positioning signal to obtain a plurality of sub-second positioning signals; each sub second positioning signal comprises a plurality of second sampling points;
respectively acquiring second energy of each second sampling point, judging whether the second energy is greater than preset energy, and taking the second sampling point with the second energy greater than the preset energy as a second interference signal point;
respectively judging whether each sub-second positioning signal comprises the second interference signal point, and screening out the sub-second positioning signals which do not comprise the second interference signal point as second reserved signals;
screening out a sub second positioning signal comprising the second interference signal point as a second signal to be processed;
respectively calculating a second energy average value of a second interference signal point included in each second signal to be processed, obtaining a second interference level of each second signal to be processed according to the second energy average value, inquiring a preset interference level-interference suppression function table according to the second interference level to obtain a corresponding interference suppression function, and performing interference suppression processing on the corresponding second signal to be processed according to the interference suppression function;
generating a fourth positioning signal according to the second reserved signal and a second signal to be processed after interference suppression processing;
the signal combining module is used for inputting the third positioning signal and the fourth positioning signal into a combiner for combining processing to obtain a fifth positioning signal;
and the analysis module is used for analyzing the fifth positioning signal to obtain the position information of the milk tea equipment.
7. The cloud-based milk tea sales data statistics device according to claim 1, further comprising performing data preprocessing on the sales data before packaging the location information and the sales data.
8. The cloud-based milk tea sales data statistics device of claim 7, wherein the data preprocessing of the sales data comprises:
acquiring a numeric character string included in the sales data; the digital character string comprises a plurality of digital characters;
extracting a first preset number of digital characters from the digital character string from front to back as front-segment characters;
extracting a second preset number of digital characters from the rear to the front in the digital character string to serve as the rear-segment characters;
taking the front-segment character and the rear-segment character as boundary characters;
taking the rest characters of the digital character string except the boundary characters as middle characters;
performing hash operation on the boundary character based on a preset hash algorithm to obtain a hash value corresponding to the boundary character;
calculating the hash value based on a binary conversion algorithm, and converting the binary hash value into a decimal operation value;
performing mixed encryption calculation on the operation value and the intermediate character based on a preset mixed encryption algorithm to obtain an encrypted digital character string;
replacing the digital character string according to the encrypted digital character string to obtain encrypted sales data;
compressing the encrypted sales data according to a plurality of compression algorithms in a preset compression algorithm library to obtain a plurality of compressed encrypted sales data;
acquiring a first reading time of the encrypted sales data;
respectively acquiring second reading time of the compressed encrypted sales data;
respectively acquiring the data volume of the compressed encrypted sales data;
calculating a compression evaluation value of each compressed encrypted sales data according to the first reading time, the second reading time of each compressed encrypted sales data and the data volume of each compressed encrypted sales data;
and sequencing the compression evaluation values in a descending order, screening out the smallest compression evaluation value, and taking the compressed and encrypted sales data corresponding to the smallest compression evaluation value as the sales data to be packaged.
9. The cloud-based milk tea sales data statistics device according to claim 1, further comprising, before sending a data packet to a cloud server through a wireless communication module, evaluating a plurality of transmission channels included in the wireless communication module to obtain a plurality of evaluation values, sorting the plurality of evaluation values in a descending order, screening out a largest evaluation value, obtaining a transmission channel corresponding to the largest evaluation value as a target transmission channel, and transmitting the position information and the sales data according to the target transmission channel.
10. The cloud-based milk tea sales data statistics device according to claim 6, wherein the analysis module further performs signal amplification processing on the fifth positioning signal before analyzing the fifth positioning signal.
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