CN112183969A - Payment equipment operation control method and device for supply order and electronic equipment - Google Patents
Payment equipment operation control method and device for supply order and electronic equipment Download PDFInfo
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Abstract
Embodiments of the present disclosure disclose methods, apparatuses, electronic devices, and computer-readable media for payment device operational control of a supply slip. One embodiment of the method comprises: acquiring a detection label corresponding to the information of a to-be-detected supply bill; responding to the fact that the detection tag is determined to be in accordance with a first preset condition group, and acquiring supply bill information to be detected, wherein the supply bill information to be detected comprises an attribute value group, an index value group, attribute score values corresponding to the attribute values and index score values corresponding to the index values; in response to the presence of a predetermined number of attribute values in the attribute value groups not meeting the second preset condition group and each of the index values in the index value groups meeting the third preset condition group, generating detection information based on the attribute value groups, each of the attribute score values corresponding to each of the attribute values in the attribute value groups, the index value groups, and each of the index score values corresponding to each of the index values in the index value groups. This embodiment improves the efficiency of detecting information.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a payment equipment operation control method and device for a supply order, electronic equipment and a computer readable medium.
Background
With the development of internet technology and the arrival of the electricity business era, more and more fresh shopping platforms appear. Fresh shopping platforms typically detect the supply (especially the supply to be paid) of the supplier (the goods provider) by manually detecting the information of the supply.
However, the method for manually detecting the supply order information has the following technical problems:
firstly, the supply note information is manually detected, the supply note information to be detected is not classified in advance, and the time for detecting the abnormal supply note information is consumed, so that the efficiency for detecting the supply note information is not high;
secondly, the manual detection of the supply bill information is often adopted, because of objective or subjective factors, the factor of the detection is considered too single, and the accuracy of the generated detection score value is not high, so that the payment device is prone to cause inaccurate payment (for example, 8 yuan should be paid originally, and 8.1 yuan is actually paid) when performing payment operation.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure provide a payment device operation control method, apparatus, electronic device and computer readable medium for a supply order to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method of controlling operation of a payment device for a supply slip, the method comprising: acquiring a detection label corresponding to the information of a to-be-detected supply bill; responding to a first preset condition group determined that the detection tag accords with the goods supply information to be detected, and acquiring the goods supply information to be detected, wherein the goods supply information to be detected comprises an attribute value group, an index value group, attribute score values corresponding to the attribute values in the attribute value group and index score values corresponding to index values in the index value group, the attribute value group comprises three attribute values, the first attribute value is used for representing a goods supply satisfaction rate, the second attribute value is used for representing an in-time arrival rate, the third attribute value is used for representing an article availability rate, the index value group comprises three index values, the first index value is used for representing the number of days in circulation, the second index value is used for representing a gross interest rate, and the third index value is used for representing a monthly business amount; in response to a predetermined number of attribute values out of the attribute value groups not meeting a second preset condition group and respective index values in the index value group meeting a third preset condition group, generating detection information based on the attribute value group, respective attribute score values corresponding to the respective attribute values in the attribute value group, the index value group, and respective index score values corresponding to the respective index values in the index value group.
In some embodiments, the generating detection information based on the set of attribute values, the respective attribute score values corresponding to the respective attribute values in the set of attribute values, the set of indicator values, and the respective indicator score values corresponding to the respective indicator values in the set of indicator values, comprises:
determining a number of attribute values comprised by the set of attribute values;
determining the number of index values included in the index value group;
determining a sum of each of the set of attribute values;
determining the sum of each index value in the index value group;
generating a detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of each attribute value in the attribute value group, the sum of each index value in the index value group, the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group;
and determining the detection scoring value as detection information.
In some embodiments, the generating a detection score value based on a number of attribute values included in the set of attribute values, a number of index values included in the set of index values, a sum of each attribute value in the set of attribute values, a sum of each index value in the set of index values, the set of attribute values, each attribute score value corresponding to each attribute value in the set of attribute values, the set of index values, and each index score value corresponding to each index value in the set of index values, comprises:
generating a detection score value by a formula:
wherein C represents a detection score value, t represents the number of attribute values included in the attribute value group, n represents the number of index values included in the index value group, A represents a detection score value, andirepresenting the ith attribute value in said set of attribute values, N representing the sum of the individual attribute values in said set of attribute values, BiRepresents the attribute rating value, Q, corresponding to the ith attribute value in the set of attribute valuesjRepresents the jth index value in the index value set, M represents the sum of the index values in the index value set, PjIndicates an index value (j) corresponding to the j-th index value in the index value group]Indicating a rounding down operation.
In a second aspect, some embodiments of the present disclosure provide an apparatus for controlling operation of a payment device with respect to a supply slip, the apparatus comprising: the first acquisition unit is configured to acquire a detection label corresponding to the supply bill information to be detected; a second obtaining unit configured to obtain the to-be-detected supply slip information in response to determining that the detection tag conforms to a first preset condition group, wherein the to-be-detected supply slip information includes an attribute value group, an index value group, each attribute score value corresponding to each attribute value in the attribute value group, and each index score value corresponding to each index value in the index value group, the attribute value group includes three attribute values, a first attribute value is used for representing a supply slip satisfaction rate, a second attribute value is used for representing a timely arrival rate, a third attribute value is used for representing an article availability rate, the index value group includes three index values, the first index value is used for representing a turnover number of days, the second index value is used for representing a gross interest rate, and the third index value is used for representing a monthly service amount; a generation unit configured to generate detection information based on the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group, in response to a predetermined number of attribute values out of the attribute value group not conforming to a second preset condition group and each index value in the index value group conforming to a third preset condition group.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon which, when executed by one or more processors, cause the one or more processors to implement the method as described in the first aspect.
In a fourth aspect, some embodiments of the disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method as described in the first aspect.
The above embodiments of the present disclosure have the following advantages: first, a detection label corresponding to the supply bill information to be detected can be obtained. Therefore, the supply list information to be detected represented by the detection label can be classified and processed by utilizing the first preset condition group. For example, for the to-be-detected supply order information represented by the detection tag which does not conform to the first preset condition group, the alarm device can be directly controlled to perform alarm operation, so that the time for processing the to-be-detected supply order information represented by the abnormal detection tag is saved. And secondly, obtaining the information of the supply list to be detected. Therefore, the obtained supply list information to be detected can be classified again by utilizing the second preset condition group and the third preset condition group. For example, in response to determining that a predetermined number of attribute values in the attribute value groups do not conform to the second preset condition group and that each of the index values in the index value groups conforms to the third preset condition group, the detection information may be generated based on the attribute value groups, the attribute score values corresponding to each of the attribute values in the attribute value groups, the index value groups, and the index score values corresponding to each of the index values in the index value groups. Thus, a quick and accurate payment process can be performed based on the generated detection information. For example, the above-mentioned detection information "92.1" may be compared with the score value in the preset detection score processing table, and the comparison result is "normal". Then, the payment device "002" communicatively connected to the above display device "001" may be controlled to perform payment processing. The goods supply list information to be detected is classified and processed through the three preset condition groups, so that the time for processing the goods supply list information to be detected represented by the abnormal detection label is saved, and the efficiency for processing the goods supply list information to be detected is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of one application scenario of a payment device operational control method for a supply slip, in accordance with some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a payment device operational control method for a supply slip in accordance with the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a payment device operational control method for a supply order according to the present disclosure;
fig. 4 is a schematic block diagram of some embodiments of a payment device operation control arrangement for a supply slip according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of a payment device operation control method for a supply order according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may acquire the detection tag 102. Secondly, in response to the detection tag 102 meeting the first preset condition set 103, the computing device 101 may obtain the to-be-detected supply order information 104, where the to-be-detected supply order information 104 includes an attribute value set and an index value set. Next, in response to that a predetermined number of attribute values in the attribute value groups included in the to-be-detected supply slip information 104 do not conform to the second preset condition group 105 and that each index value in the index value group included in the to-be-detected supply slip information 104 conforms to the third preset condition group 106, the computing device 101 may generate the detection information 107 based on the to-be-detected supply slip information 104. Finally, optionally, the computing device 101 may output the detection information 107 for display on the display device 108. Alternatively, the computing device 101 may control a payment device 109 communicatively coupled to the display device 108 to perform payment processing based on the detection information 107.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a payment device operational control method for a supply slip in accordance with the present disclosure is illustrated. The method may be performed by the computing device 101 of fig. 1. The payment equipment operation control method aiming at the supply order comprises the following steps:
In some embodiments, an execution main body (e.g., the computing device shown in fig. 1) of the payment device operation control method for the supply slip may obtain the detection tag corresponding to the information of the supply slip to be detected from the terminal in a wired connection manner or a wireless connection manner. Here, the supply list information to be detected may be numbered in advance, and then the number and the detection tag are bound and stored in the terminal for calling. Here, the number may be used as an index to obtain a detection tag corresponding to the supply item information to be detected. The information of the to-be-detected supply order can be project service information (for example, the information of the to-be-detected supply order of the project a can be "supply order satisfaction rate 85%, timely arrival rate 90%, article availability rate 90%, turnover days 8 days, gross profit rate 80%, monthly business 5 ten thousand"). Here, the detection tag corresponding to the supply slip information to be detected may be an audit tag associated with the supply slip information to be detected (e.g., the detection tag may be "without commercial bribery, food safety issues, or counterfeit issues").
In some embodiments, in response to determining that the detection tag meets the first preset condition set, the execution main body may obtain the supply order information to be detected by using the number of the detection tag as an index. Here, the first set of predetermined conditions may be "no commercial bribery, no food safety issues, no counterfeit issues". For example, the detection tag may be "commercially bribery free, food safety free, counterfeit free". The information of the supply orders to be detected comprises an attribute value group, an index value group, attribute score values corresponding to the attribute values in the attribute value group and index score values corresponding to the index values in the index value group, wherein the attribute value group comprises three attribute values, a first attribute value is used for representing the supply order satisfaction rate, a second attribute value is used for representing the timely arrival rate, a third attribute value is used for representing the commodity availability rate, the index value group comprises three index values, the first index value is used for representing the turnover days, the second index value is used for representing the gross interest rate, and the third index value is used for representing the monthly service amount. Here, the relationship between the respective first preset conditions in the first preset condition group may be a relationship of or.
As an example, the attribute value group included in the supply order information to be detected may be "0.8, 0.9, 0.7". The attribute value "0.8" may represent a supply satisfaction rate "80%" (for example, the supply quantity of the article a is 100, the actual delivery quantity of the article a is 80, that is, the supply satisfaction rate of the article a is 80%, that is, 0.8). The attribute value "0.9" may represent a timely arrival rate of "90%" (e.g., after placing an order for item a, the receiving period is 2 days, and after placing an order for item a 10 times, there are 1 harvest period exceeding two days, i.e., 9 times satisfying the harvest period, and the timely arrival rate is 90%, i.e., 0.9). The above-mentioned attribute value "0.7" may represent an item availability rate "70%" (for example, 100 items a are produced, and 70 items a meet the quality requirement, that is, the item availability rate is 70%, that is, 0.7). The attribute score value corresponding to the attribute value "0.8" may be "8". The attribute rating value corresponding to the above attribute value "0.9" may be "9". The attribute rating value corresponding to the above attribute value "0.7" may be "10". The index value group included in the supply order information to be detected may be "5, 0.7, 2". Wherein the index value "5" represents the number of turnover days "5 days". The index value "0.7" represents the gross profit margin "70%". The index value "2" may characterize the value of the value flow attribute (for example, the value of the value flow attribute may be 2 ten thousand of monthly business). The index score value corresponding to the index value "5" may be "9". The index score value corresponding to the index value "0.7" may be "8". The index score value corresponding to the index value "2" may be "10".
In some embodiments, the determining step comprises determining that a predetermined number of the set of attribute values do not meet a second set of predetermined conditions and that each of the set of indicator values meets a third set of predetermined conditions. Here, the predetermined number may be one. Here, the second preset condition group may be "an attribute value indicating a supply order satisfaction rate is larger than a history supply order satisfaction rate average value (for example, the history supply order satisfaction rate average value may be 0.7)," an attribute value indicating a timely arrival rate is larger than a history timely arrival rate average value (for example, the history timely arrival rate average value may be 0.8), "and an attribute value indicating an item availability rate is larger than a history item availability rate average value (for example, the history item availability rate average value may be 0.8)". Here, the third preset condition set may be "the index value representing the number of turnover days is larger than the historical turnover number of days average (for example, the historical turnover number of days average may be 3), the index value representing the gross rate is larger than the historical gross rate average (for example, the historical gross rate may be 0.5), and the index value representing the value flow attribute value is larger than the historical value flow attribute value average (for example, the historical value flow attribute value average may be 1)". The execution body may generate the detection information by:
and step one, multiplying each attribute value in the attribute value group with the attribute score value corresponding to the attribute value to generate a first detection score value, so as to obtain a first detection information group.
As an example, the above-described property value group may be "0.8, 0.9, 0.7". The attribute score value corresponding to the attribute value "0.8" may be "8". The attribute score value corresponding to the above attribute value "0.9" may be "9". The attribute rating value corresponding to the above-mentioned attribute value "0.7" may be "10". The "0.8" and "8" are multiplied to generate "6.4". The "0.9" and "9" are multiplied to generate "8.1". The "0.7" and "10" are multiplied to generate "7". A first set of detection scores "6.4, 8.1, 7" is obtained.
And secondly, adding the first detection score values in the first detection score value group to generate a first detection score total value.
As an example, the first set of detection scores can be "6.4, 8.1, 7". Add "6.4", "8.1" and "7" to generate a first total detection score value of "21.5".
And thirdly, multiplying each index value in the index value group by the index value score corresponding to the index value to generate a second detection score value, so as to obtain the second detection score value group.
As an example, the above index value group may be "5, 0.7, 2". The index score value corresponding to the index value "5" may be "9". The index score value corresponding to the index value "0.7" may be "8". The index score value corresponding to the index value "2" may be "10". The multiplication process of "5" and "9" is performed to generate "45". The "0.7" and "8" are multiplied to generate "5.6". The multiplication process of "2" and "10" is performed to generate "20". A second set of detection scores "45, 5.6, 20" is obtained.
And fourthly, adding the second detection score values in the second detection score value group to generate a second detection score total value.
As an example, the second set of detection scores can be "45, 5.6, 20". The "45", "5.6" and "20" are subjected to an addition process to generate a second detection score total value "70.6".
And fifthly, adding the first detection total score value and the second detection total score value to generate a detection score value.
As an example, the first total detection score value may be "21.5". The second total detection score value may be "70.6". The "21.5" and "70.6" are subjected to addition processing to generate "92.1".
And sixthly, determining the detection score value as detection information.
As an example, the above-mentioned detection score value "92.1" is determined as the detection information "supplier score value: 92.1".
Optionally, the detection information is sent to a payment device with a display function and a storage function for display; and controlling the payment equipment to carry out payment processing based on the detection information.
In some embodiments, the execution main body may send the detection information to a payment device having a display function and a storage function for display. Then, the executing body may compare the detection information with the score values in a preset detection score processing table to generate a comparison result. And pushing the result to be paid corresponding to the comparison result to the payment equipment. And then, controlling the payment equipment to carry out payment processing.
As an example, the detection information "92.1" may be sent to the payment device "001" for display. Then, the detection information "92.1" may be compared with the score values in the preset detection score processing table, and the generated comparison result may be "normal". Then, the payment device '001' may be controlled to perform payment processing.
Optionally, in response to determining that the detection tag does not conform to the first preset condition set, the payment device is controlled to perform abnormal information alarm and/or abnormal information prompt.
In some embodiments, in response to determining that the detection tag does not conform to the first preset condition set, the execution main body may control the payment device to alarm for an abnormal message. For example, the payment device "001" may be controlled to emit an alarm prompting voice.
Optionally, the abnormality detection information table is generated in response to determining that each of the attribute values in the attribute value groups does not comply with a second preset condition group and each of the index values in the index value groups does not comply with a third preset condition group. And sending the abnormal detection information table to the payment equipment, and controlling the payment equipment to carry out abnormal information alarm and/or abnormal information prompt.
In some embodiments, in response to determining that each of the set of attribute values does not comply with a second set of predetermined conditions and each of the set of indicator values does not comply with a third set of predetermined conditions, the execution body may create an empty table into which each of the set of attribute values and each of the set of indicator values are input to generate a field-of-detected-supply-order information table. Then, the execution main body may send the abnormality detection information table to the payment device, and control the abnormality information alarm and/or the abnormality information prompt with the payment device.
As an example, the abnormality detection information table may be:
and sending the abnormality detection information table to a storage device '003' with a storage function for calling. And controlling related alarm equipment '004' in communication connection with the storage equipment '003' to perform abnormal information alarm and/or abnormal information prompt.
Optionally, the payment device is controlled to perform payment processing in response to determining that each of the attribute values in the attribute value sets meets the second preset condition set.
In some embodiments, the executing entity may control the payment device to perform the payment process (e.g., control the payment device "AB" to make the payment) in response to determining that each of the set of attribute values meets the second set of preset conditions.
The above embodiments of the present disclosure have the following advantages: first, a detection label corresponding to the supply bill information to be detected can be obtained. Therefore, the supply list information to be detected represented by the detection label can be classified and processed by utilizing the first preset condition group. For example, for the to-be-detected supply order information represented by the detection tag which does not conform to the first preset condition group, the alarm device can be directly controlled to perform alarm operation, so that the time for processing the to-be-detected supply order information represented by the abnormal detection tag is saved. And secondly, obtaining the information of the supply list to be detected. Therefore, the obtained supply list information to be detected can be classified again by utilizing the second preset condition group and the third preset condition group. For example, in response to determining that a predetermined number of attribute values in the attribute value groups do not conform to the second preset condition group and that each of the index values in the index value groups conforms to the third preset condition group, the detection information may be generated based on the attribute value groups, the attribute score values corresponding to each of the attribute values in the attribute value groups, the index value groups, and the index score values corresponding to each of the index values in the index value groups. Thus, a quick and accurate payment process can be performed based on the generated detection information. For example, the above-mentioned detection information "92.1" may be compared with the score value in the preset detection score processing table, and the comparison result is "normal". Then, the payment device "002" communicatively connected to the above display device "001" may be controlled to perform payment processing. The goods supply list information to be detected is classified and processed through the three preset condition groups, so that the time for processing the goods supply list information to be detected represented by the abnormal detection label is saved, and the efficiency for processing the goods supply list information to be detected is improved.
With further reference to fig. 3, a flow 300 of further embodiments of a payment device operational control method for a supply order according to the present disclosure is illustrated. The method may be performed by the computing device 101 of fig. 1. The payment equipment operation control method aiming at the supply order comprises the following steps:
In some embodiments, the specific implementation manner and technical effects of the steps 301 and 302 can refer to the steps 201 and 202 in the embodiments corresponding to fig. 2, which are not described herein again.
In some embodiments, the execution agent may directly determine the number of attribute values included in the set of attribute values. For example, the set of attribute values may be "0.8, 0.9, 0.7". The number of attribute values included in the above attribute value group is "3".
In some embodiments, the execution subject may directly determine the number of index values included in the index value group. For example, the index value group may be "5, 0.7, 2". The number of index values included in the index value group is "3".
Step 305 determines the sum of each of the attribute values in the set of attribute values.
In some embodiments, the executing agent may perform an addition process on each of the attribute values in the attribute value group to generate a sum of each of the attribute values in the attribute value group. For example, the set of attribute values may be "0.8, 0.9, 0.7". Add "0.8", "0.9", and "0.7" to generate "2.4".
In some embodiments, the executing body may perform addition processing on each index value in the index value group to generate a sum of each index value in the index value group. For example, the index value group may be "5, 0.7, 2". Add "5", "0.7" and "2" to generate "7.7".
Step 307 generates a detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of the attribute values in the attribute value group, the sum of the index values in the index value group, the attribute score values corresponding to the attribute values in the attribute value group, the index value group, and the index score values corresponding to the index values in the index value group.
In some embodiments, the execution main body may generate the detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of each attribute value in the attribute value group, the sum of each index value in the index value group, the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group.
In some optional implementations of some embodiments, the performing agent may generate the detection score value by:
wherein C represents a detection score value. t represents the number of attribute values included in the above-described attribute value group. n represents the number of index values included in the index value group. A. theiRepresenting the ith attribute value in the set of attribute values. N represents the sum of the respective attribute values in the attribute value group. B isiRepresenting the above-mentioned attributesAn attribute score value corresponding to the ith attribute value in the set of values. QjIndicating the jth index value in the set of index values. M represents the sum of index values in the index value group. PjAnd indicating the index grade value corresponding to the jth index value in the index value group. []Indicating a rounding down operation.
As an example, the above-described property value group may be "0.8, 0.9, 0.7". The index value group may be "5, 0.7, 2". The number t of attribute values included in the above-described attribute value group may be "3". The number n of index values included in the index value group may be "3". The sum N of the respective attribute values in the above attribute value group is "2.4". The sum M of the index values in the index value group is "7.7". The attribute score value corresponding to the attribute value "0.8" may be "8". The attribute score value corresponding to the above attribute value "0.9" may be "9". The attribute rating value corresponding to the above-mentioned attribute value "0.7" may be "10". The index score value corresponding to the index value "5" may be "9". The index score value corresponding to the index value "0.7" may be "8". The index score value corresponding to the index value "2" may be "10". Generating a detection score value by:
C＝[8.958×((5/7.7)×9+(0.7/7.7)×8+(2/7.7)×10)]＝82。
In some embodiments, the execution subject may directly determine the detection score value as the detection information. For example, the above-mentioned test score value "82" may be determined as a test information "supplier score value: 82".
The above embodiments of the present disclosure have the following advantages: the formula in step 307 is used as an invention point of the present disclosure, thereby solving the technical problem mentioned in the background art that "the payment device is prone to cause inaccurate payment due to the fact that the factor of detection is too single and the accuracy of the generated detection score value is not high because of objective or subjective factors by adopting a mode of manually detecting supplier information". Factors that lead to poor accuracy of detected information tend to be as follows: in the process of detecting a supplier, detection scoring data generated by manual detection cannot comprehensively consider the influence of various factors on a detection result according to the same standard due to various objective or subjective reasons, so that the accuracy of generated detection information is not high. If the above factors are solved, the effect of improving the accuracy of the detected information can be achieved. To achieve this effect, first, the present disclosure refers to six factors, such as a supply order satisfaction rate, a timely arrival rate, an article availability rate, a turnover number of days, a profit margin rate, and a circulation attribute value, to improve the accuracy of detection information. Secondly, each factor is provided with a corresponding score value, so that the influence degree of each factor on the detection score value can be comprehensively considered conveniently. The two factors, the fulfillment rate and the availability rate of the items, are used to detect the quantity and quality of the items provided by the supplier. The higher the fulfillment rate of the supply order, the greater the number of items provided by the supplier. The higher the availability of the items, the higher the quality of the items provided by the supplier. The higher the timely arrival rate, the more the time for measuring the transportation of the goods by the supplier meets the transportation period. Then, the turnover days are quoted to detect the shelf life of the goods provided by the supplier and prevent the goods from being out of date due to overlong circulation time. Then, the gross interest rate and the circulation attribute value are referred to in order to detect the relevant attribute value (for example, profit) brought by the supplied item from the supplier. And finally, tightly coupling the six factors through the formula in the step 307, and comprehensively considering the influence of each numerical value in the supply list information to be detected on the detection information. Thus, the accuracy of the detected information is improved. Therefore, the payment equipment can be controlled to carry out payment operation according to the accurate detection score value, and the phenomenon that the payment equipment is inaccurate in payment is reduced.
With further reference to fig. 4, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides some embodiments of a payment device operation control apparatus for a supply order, which correspond to those of the method embodiments described above in fig. 2, and which can be applied to various electronic devices in particular.
As shown in fig. 4, the payment-device-operation control apparatus 400 for a supply slip of some embodiments includes: a first acquisition unit 401, a second acquisition unit 402, a generation unit 403. The first obtaining unit 401 is configured to obtain a detection tag corresponding to the supply order information to be detected. A second obtaining unit 402, configured to, in response to determining that the detection tag conforms to a first preset condition group, obtain the offering information to be detected, where the offering information to be detected includes an attribute value group, an index value group, each attribute score value corresponding to each attribute value in the attribute value group, and each index score value corresponding to each index value in the index value group, the attribute value group includes three attribute values, a first attribute value is used to represent an offering satisfaction rate, a second attribute value is used to represent a timely arrival rate, a third attribute value is used to represent an article availability rate, the index value group includes three index values, the first index value is used to represent a turnover number of days, the second index value is used to represent a gross interest rate, and the third index value is used to represent a monthly service amount. A generating unit 403 configured to generate detection information based on the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group, in response to a predetermined number of attribute values out of the attribute value group not conforming to a second preset condition group and each index value in the index value group conforming to a third preset condition group.
In some optional implementations of some embodiments, the generating unit 403 of the payment device operation control apparatus 400 for the supply order is further configured to: determining the number of attribute values included in the attribute value set; determining the number of index values included in the index value group; determining the sum of each attribute value in the attribute value groups; determining the sum of each index value in the index value group; generating a detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of each attribute value in the attribute value group, the sum of each index value in the index value group, the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group; and determining the detection scoring value as detection information.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a detection label corresponding to the information of a to-be-detected supply bill; responding to a first preset condition group determined that the detection tag accords with the goods supply information to be detected, and acquiring the goods supply information to be detected, wherein the goods supply information to be detected comprises an attribute value group, an index value group, attribute score values corresponding to the attribute values in the attribute value group and index score values corresponding to index values in the index value group, the attribute value group comprises three attribute values, the first attribute value is used for representing a goods supply satisfaction rate, the second attribute value is used for representing an in-time arrival rate, the third attribute value is used for representing an article availability rate, the index value group comprises three index values, the first index value is used for representing the number of days in circulation, the second index value is used for representing a gross interest rate, and the third index value is used for representing a monthly business amount; in response to a predetermined number of attribute values out of the attribute value groups not meeting a second preset condition group and respective index values in the index value group meeting a third preset condition group, generating detection information based on the attribute value group, respective attribute score values corresponding to the respective attribute values in the attribute value group, the index value group, and respective index score values corresponding to the respective index values in the index value group.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first acquisition unit, a second acquisition unit, and a generation unit. The names of the units do not limit the units themselves in some cases, and for example, the first obtaining unit may also be described as a "unit for obtaining a detection tag corresponding to supply item information to be detected".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A method of controlling operation of a payment device with respect to a supply slip, comprising:
acquiring a detection label corresponding to the information of a to-be-detected supply bill;
responding to a first preset condition group determined that the detection tag accords with the goods supply information to be detected, and acquiring the goods supply information to be detected, wherein the goods supply information to be detected comprises an attribute value group, an index value group, attribute score values corresponding to the attribute values in the attribute value group and index score values corresponding to index values in the index value group, the attribute value group comprises three attribute values, the first attribute value is used for representing a goods supply satisfaction rate, the second attribute value is used for representing an in-time arrival rate, the third attribute value is used for representing an article availability rate, the index value group comprises three index values, the first index value is used for representing the number of days in circulation, the second index value is used for representing a gross interest rate, and the third index value is used for representing a monthly business amount;
in response to a predetermined number of attribute values of the set of attribute values not meeting a second preset condition set and respective index values of the set of index values meeting a third preset condition set, generating detection information based on the set of attribute values, respective attribute score values corresponding to the respective attribute values of the set of attribute values, the set of index values, and respective index score values corresponding to the respective index values of the set of index values.
2. The method of claim 1, wherein the method further comprises:
sending the detection information to a payment device with a display function and a storage function for display;
and controlling the payment equipment to carry out payment processing based on the detection information.
3. The method of claim 1, wherein the method further comprises:
and controlling the payment equipment to alarm and/or prompt abnormal information in response to the fact that the detection label does not conform to the first preset condition set.
4. The method of claim 3, wherein the method further comprises:
generating an anomaly detection information table in response to determining that each of the set of attribute values does not comply with a second set of preset conditions and each of the set of indicator values does not comply with the third set of preset conditions;
and sending the abnormal detection information table to the payment equipment, and controlling the payment equipment to carry out abnormal information alarm and/or abnormal information prompt.
5. The method of claim 4, wherein the method further comprises:
controlling the payment device to perform payment processing in response to determining that each of the set of attribute values meets the second set of preset conditions.
6. The method of claim 1, wherein the generating detection information based on the set of attribute values, the respective attribute score values corresponding to the respective attribute values in the set of attribute values, the set of indicator values, and the respective indicator score values corresponding to the respective indicator values in the set of indicator values comprises:
determining a number of attribute values comprised by the set of attribute values;
determining the number of index values included in the index value group;
determining a sum of each of the set of attribute values;
determining the sum of each index value in the index value group;
generating a detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of each attribute value in the attribute value group, the sum of each index value in the index value group, the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group;
and determining the detection scoring value as detection information.
7. A payment device operation control apparatus for a supply slip, comprising:
the first acquisition unit is configured to acquire a detection label corresponding to the supply bill information to be detected;
a second obtaining unit configured to obtain the to-be-detected supply slip information in response to determining that the detection tag conforms to a first preset condition group, wherein the to-be-detected supply slip information includes an attribute value group, an index value group, each attribute score value corresponding to each attribute value in the attribute value group, and each index score value corresponding to each index value in the index value group, the attribute value group includes three attribute values, a first attribute value is used for representing a supply slip satisfaction rate, a second attribute value is used for representing a timely arrival rate, a third attribute value is used for representing an article availability rate, the index value group includes three index values, the first index value is used for representing a turnover number of days, the second index value is used for representing a gross interest rate, and the third index value is used for representing a monthly service amount;
a generation unit configured to generate detection information based on the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group, in response to presence of a predetermined number of attribute values out of the attribute value group that do not comply with a second preset condition group and each index value in the index value group that comply with a third preset condition group.
8. The payment device operation control apparatus for a supply slip of claim 7, wherein the generating unit is further configured to:
determining a number of attribute values comprised by the set of attribute values;
determining the number of index values included in the index value group;
determining a sum of each of the set of attribute values;
determining the sum of each index value in the index value group;
generating a detection score value based on the number of attribute values included in the attribute value group, the number of index values included in the index value group, the sum of each attribute value in the attribute value group, the sum of each index value in the index value group, the attribute value group, each attribute score value corresponding to each attribute value in the attribute value group, the index value group, and each index score value corresponding to each index value in the index value group;
and determining the detection scoring value as detection information.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-6.
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