CN116366757A - Intelligent detection system for errors of mobile phone POS machine of off-line store - Google Patents
Intelligent detection system for errors of mobile phone POS machine of off-line store Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/24—Arrangements for testing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
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Abstract
The invention discloses an intelligent detection system for errors of a mobile phone POS machine of an off-line store, which belongs to the field of mobile phone POS machines and is used for solving the problems that the mobile phone POS machine cannot be subjected to error detection and corresponding error detection standards cannot be matched with the mobile phone POS machine according to the use condition when the mobile phone POS machine is used.
Description
Technical Field
The invention belongs to the field of mobile phone POS machines, relates to an error detection technology, and particularly relates to an intelligent detection system for errors of a mobile phone POS machine of an off-line store.
Background
The mobile POS machine is an RF-SIM card terminal reader. The reader terminal passes through CDMA; GPRS; TCP/IP and the like are connected with the data server. During operation, the mobile phone with the RF-SIM is used for "swiping a card" on the POS machine of the mobile phone, relevant business information (transaction type, amount of points and the like) is input, and the obtained information is sent to the data server through various networks by the POS machine.
When the mobile phone POS machine of the off-line store is used, a user cannot perceive the abnormal situation of the mobile phone POS machine, and although corresponding abnormal alarm functions are arranged on some mobile phone POS machines, corresponding error detection measures cannot be matched with the mobile phone POS machine according to the use situation, so that the intelligent error detection system of the mobile phone POS machine of the off-line store is provided.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an intelligent detection system for errors of a mobile phone POS machine of an off-line store.
The technical problems to be solved by the invention are as follows:
how to match corresponding detection standards for error detection of the mobile phone POS machine of the off-line store based on the use condition.
The aim of the invention can be achieved by the following technical scheme:
an intelligent detection system for errors of a mobile phone POS machine of an off-line store comprises a data acquisition module, a user terminal, a use analysis module, an environment monitoring module, an intelligent detection module, a hardware detection module, a payment terminal and a server; the payment terminal comprises an alarm unit, which is used for alarming the abnormality generated by the mobile phone POS machine;
the data acquisition module is used for acquiring hardware data and environment data of the mobile phone POS machine and sending the hardware data and the environment data to the server; the server sends the hardware data to the hardware detection module and sends the environment data to the environment detection module;
the user terminal is used for inputting the delivery time of the mobile phone POS machine and sending the delivery time to the use analysis module through the server; the use analysis module is used for analyzing the use condition of the mobile phone POS machine, obtaining the detection grade of the mobile phone POS machine and feeding back the detection grade to the server, and the server sends preset detection data of the mobile phone POS machine to the intelligent detection module according to the detection grade;
the server stores standard environment parameters and standard hardware parameters of the mobile phone POS machine, and sends the standard environment parameters corresponding to the mobile phone POS machine to the environment detection module and the corresponding standard hardware parameters to the hardware detection module;
the environment detection module is used for detecting the use environment of the mobile phone POS machine to obtain an environment deviation value of the mobile phone POS machine in an intelligent detection period or generate an environment abnormal signal;
the hardware detection module is used for detecting the hardware condition of the mobile phone POS machine to obtain a hardware performance value or a hardware abnormal signal of the mobile phone POS machine in an intelligent detection period;
the intelligent detection module is used for intelligently detecting the mobile phone POS machine after receiving the environment deviation value and the hardware performance value, and generating a detection normal signal or a detection abnormal signal.
Further, the hardware data comprises a power supply temperature value of the mobile phone POS machine and the use duration of each part;
the environment data comprises an uploading network speed value and a downloading network speed value of the mobile phone POS machine;
the preset detection data comprise an environment deviation threshold value and a hardware performance threshold value;
the standard environment parameters comprise an uploading network speed threshold value and a downloading network speed threshold value;
the standard hardware parameters comprise a preset temperature value of the power supply and preset use time of each part.
Further, the analysis process using the analysis module is specifically as follows:
acquiring the delivery time of a mobile phone POS machine and the current time of a server;
calculating to obtain the service time of the mobile phone POS machine;
and comparing the time length with the time length threshold value to judge the detection grade of the mobile phone POS machine as a third detection grade, a second detection grade or a first detection grade.
Further, the first detection level is higher than the second detection level, which is higher than the third detection level.
Further, the detection process of the environment detection module is specifically as follows:
setting an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring an uploading network speed value and a downloading network speed value corresponding to the mobile phone POS machine when the time points are a plurality of time points;
if the uploading network speed values of all the time points are smaller than the uploading network speed threshold value or the downloading network speed values of all the time points are smaller than the downloading network speed threshold value, generating an environment abnormal signal;
if the uploading network speed value at any time point is larger than or equal to the uploading network speed threshold value or the downloading network speed value at any time point is smaller than the downloading network speed threshold value, calculating the difference value between the uploading network speed value and the uploading network speed threshold value at each time point to obtain the uploading network speed difference value of the mobile POS machine at each time point, and simultaneously calculating the difference value between the downloading network speed value and the downloading network speed threshold value at each time point to obtain the downloading network speed difference value of the mobile POS machine at each time point;
the method comprises the steps that the uploading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain the uploading network speed deviation value of the mobile phone POS machine in the intelligent detection period, and the downloading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain the downloading network speed deviation value of the mobile phone POS machine in the intelligent detection period;
and calculating the environmental deviation value of the mobile phone POS machine in the intelligent detection period.
Further, the environment detection module feeds back the environment deviation value or the generated environment abnormal signal of the mobile phone POS machine in the intelligent detection period to the server;
if the server receives the environment abnormal signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the environmental deviation value HPu of the mobile phone POS machine in the intelligent detection period, the environmental deviation value HPu is forwarded to the intelligent detection module.
Further, the detection process of the hardware detection module is specifically as follows:
acquiring the preset use time length of each part in the mobile phone POS machine, and generating a hardware abnormal signal if the use time length of the mobile phone POS machine exceeds the preset use time length of any part;
if the using time length of the mobile phone POS machine does not exceed the preset using time length of all the parts, the using time length of the mobile phone POS machine is subtracted by the preset using time length to obtain the remaining using time length of each part in the mobile phone POS machine, the remaining using time length of each part in the mobile phone POS machine is traversed and compared to obtain the minimum remaining using time length, and the minimum remaining using time length in the mobile phone POS machine is calibrated to be the hardware using time length of the mobile phone POS machine;
combining an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring power supply temperature values corresponding to the mobile phone POS machine when the time points are a plurality of time points;
generating a hardware abnormality signal if the power supply temperature value at all time points is greater than or equal to a power supply preset temperature value;
if the power supply temperature value at any time point is smaller than the power supply preset temperature value, calculating the difference value between the power supply temperature value at each time point and the power supply preset temperature value to obtain the power supply temperature difference value of the mobile POS machine at each time point;
the power supply temperature difference value at each time point is added, summed and divided by the number of the time points to obtain the power supply temperature deviation value of the mobile phone POS machine in the intelligent detection period;
and calculating the hardware performance value of the mobile phone POS machine in the intelligent detection period.
Further, the hardware detection module feeds back a hardware performance value or a hardware abnormality signal of the mobile phone POS machine in an intelligent detection period to the server;
if the server receives the hardware abnormality signal, an alarm instruction is generated and loaded to an alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the hardware performance value YXu of the mobile phone POS machine in the intelligent detection period, the hardware performance value YXu is forwarded to the intelligent detection module.
Further, the working process of the intelligent detection module is specifically as follows:
obtaining a corresponding environment deviation threshold value and a hardware performance threshold value according to the detection grade of the mobile phone POS machine;
the environment deviation threshold value is compared with the environment deviation value, and the hardware performance threshold value is compared with the hardware performance threshold value;
and generating a detection normal signal or a detection abnormal signal according to the comparison result.
Further, the intelligent detection module feeds back a normal signal or an abnormal signal to the server;
if the server receives the detection normal signal, no operation is performed;
if the server receives the abnormal detection signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the use condition of the mobile phone POS machine is analyzed by using the analysis module, the detection grade of the mobile phone POS machine is obtained by analyzing, the standard environment parameter, the standard hardware parameter and the preset detection data of the mobile phone POS machine are sent to the corresponding functional modules according to the detection grade, meanwhile, the use environment of the mobile phone POS machine is detected by the environment detection module, the environment deviation value or the environment abnormality signal of the mobile phone POS machine in the intelligent detection period is detected, the hardware condition of the mobile phone POS machine is detected by the hardware detection module, the hardware performance value or the hardware abnormality signal of the mobile phone POS machine in the intelligent detection period is obtained by detecting, the intelligent detection module performs intelligent detection on the mobile phone POS machine after combining the environment deviation value and the hardware performance value, the intelligent detection generates a detection normal signal or a detection abnormality signal, and corresponding operation is performed according to the signals.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Description of the embodiments
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In an embodiment, referring to fig. 1, an intelligent detection system for errors of a mobile phone POS machine in an off-line store is disclosed, where the mobile phone POS machine in the present application is mainly used in an off-line store, and the system specifically includes a data acquisition module, a user terminal, a usage analysis module, an environment monitoring module, an intelligent detection module, a hardware detection module, a payment terminal and a server;
the server is connected with a plurality of payment terminals, the payment terminals comprise alarm units, and the alarm units are arranged in the payment terminals and used for alarming the abnormality generated by the mobile phone POS machine;
in the specific implementation, the payment terminal can be a mobile phone POS machine, a private mobile phone, a computer and the like, and is the mobile phone POS machine in the invention;
the data acquisition module is used for acquiring hardware data and environment data of the mobile phone POS machine and sending the hardware data and the environment data to the server;
the hardware data comprise a power supply temperature value of a mobile phone POS machine, the use time of each part and the like; the environment data comprise uploading network speed value, downloading network speed value and the like of the mobile phone POS machine;
in the specific implementation, the data acquisition module is a sensor component, a timer and related equipment arranged in the mobile phone POS machine, the data acquisition module can also be a network speed measuring module in the mobile phone POS machine, the sensor component can acquire temperature data of the mobile phone POS machine, the timer can record the using time of the mobile phone POS machine, and the network speed measuring module is used for measuring and displaying an uploading network speed value and a downloading network speed value of the mobile phone POS machine;
the server sends the hardware data to the hardware detection module, and the server sends the environment data to the environment detection module;
the user terminal is used for registering a login system after personnel input personal information and registering the personal information;
the personal information comprises the name of a worker, the mobile phone number of real-name authentication and the like;
the method comprises the steps that a worker inputs the delivery time of a mobile phone POS machine through a user terminal, the delivery time is sent to a server, and the server sends the delivery time of the mobile phone POS machine to a use analysis module;
the use analysis module is used for analyzing the use condition of the mobile phone POS machine, and the analysis process is specifically as follows:
step one: the mobile phone POS machine is marked as u, u=1, 2, … …, z and z are positive integers; acquiring the delivery time of a mobile phone POS machine, and marking the delivery time as TCu;
step two: acquiring the current time of the server, and marking the current time of the server as TDu;
step three: calculating according to a formula TSu = TDu-TCu to obtain the service life TSu of the mobile phone POS machine;
step four: if TSu is less than X1, the detection grade of the mobile phone POS machine is a third detection grade;
if X1 is less than or equal to TSu and less than X2, the detection grade of the mobile phone POS machine is a second detection grade;
if X2 is less than or equal to TSu, the detection grade of the mobile phone POS machine is the first detection grade; wherein X1 and X2 are both duration thresholds, and X1 is less than X2;
the use analysis module feeds the detection grade of the mobile POS machine back to the server, and the server sends preset detection data of the mobile POS machine to the intelligent detection module according to the detection grade;
it can be appreciated that the preset detection data includes an environmental deviation threshold, a hardware performance threshold, and the like, and meanwhile, the level of the first detection level is higher than the level of the second detection level, and the level of the second detection level is higher than the level of the third detection level;
for example, if the detection level of the mobile POS machine is the first detection level, the environmental deviation threshold is 20, and the hardware performance threshold is 100, if the detection level of the mobile POS machine is the second detection level, the environmental deviation threshold is 10, and the hardware performance threshold is 150, and if the detection level of the mobile POS machine is the third detection level, the environmental deviation threshold is 5, and the hardware performance threshold is 200, so that it is seen that the higher the level of the detection level, the larger the value of the corresponding hardware performance threshold is;
in this embodiment, the server stores the standard environment parameters and standard hardware parameters of the mobile phone POS machine, and sends the standard environment parameters corresponding to the mobile phone POS machine to the environment detection module and the corresponding standard hardware parameters to the hardware detection module;
the specific explanation is that the standard environment parameters comprise an uploading network speed threshold value, a downloading network speed threshold value and the like; the standard hardware parameters comprise a power supply preset temperature value, preset use time of each part and the like, and the corresponding standard environment parameters and standard hardware parameters can be obtained according to the brand and model of the mobile phone POS machine;
the environment detection module is used for detecting the use environment of the mobile phone POS machine, and the detection process is specifically as follows:
step S1: setting an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring an uploading network speed value and a downloading network speed value corresponding to the mobile phone POS machine when the time points are a plurality of time points;
step S2: if the uploading network speed values of all the time points are smaller than the uploading network speed threshold value or the downloading network speed values of all the time points are smaller than the downloading network speed threshold value, generating an environment abnormal signal;
if the uploading network speed value at any time point is larger than or equal to the uploading network speed threshold value or the downloading network speed value at any time point is smaller than the downloading network speed threshold value, entering the next step;
step S3: calculating the difference value between the uploading network speed value and the uploading network speed threshold value at each time point to obtain the uploading network speed difference value of the mobile phone POS machine at each time point;
calculating the difference value between the download network speed value and the download network speed threshold value at each time point to obtain the download network speed value of the mobile phone POS machine at each time point;
step S4: the method comprises the steps that the uploading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain an uploading network speed deviation value SSPu of the mobile POS machine in the intelligent detection period, and the downloading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain a downloading network speed deviation value XSPu of the mobile POS machine in the intelligent detection period;
step S5: calculating according to a formula HPu =SSPuxa1+XSPuxa2 to obtain an environment deviation value HPu of the mobile phone POS machine in an intelligent detection period; wherein a1 and a2 are weight coefficients with fixed values, and the values of a1 and a2 are larger than zero, so long as the values of the weight coefficients do not influence the positive-negative ratio relation between the parameters and the result values in the concrete implementation;
the environment detection module feeds back an environment deviation value HPu or an environment abnormality signal of the mobile phone POS machine in an intelligent detection period to the server;
if the server receives the environment abnormal signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the environmental deviation value HPu of the mobile phone POS machine in the intelligent detection period, the environmental deviation value HPu is forwarded to the intelligent detection module;
the hardware detection module is used for detecting the hardware condition of the mobile phone POS machine, and the detection process is specifically as follows:
step SS1: acquiring preset use time of each part in the mobile phone POS machine;
step SS2: if the using time length of the mobile phone POS machine exceeds the preset using time length of any part, generating a hardware abnormal signal;
if the using time of the mobile phone POS machine does not exceed the preset using time of all the parts, entering the next step;
step SS3: subtracting the using time length of the mobile phone POS machine from the preset using time length to obtain the remaining using time length of each part in the mobile phone POS machine, traversing and comparing the remaining using time lengths of each part in the mobile phone POS machine to obtain the minimum remaining using time length, and calibrating the minimum remaining using time length in the mobile phone POS machine as the hardware using time length TYu of the mobile phone POS machine;
step SS4: combining an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring power supply temperature values corresponding to the mobile phone POS machine when the time points are a plurality of time points;
generating a hardware abnormality signal if the power supply temperature value at all time points is greater than or equal to a power supply preset temperature value;
if the power supply temperature value at any time point is smaller than the preset power supply temperature value, entering the next step;
step SS5: calculating the difference value between the power supply temperature value and the power supply preset temperature value at each time point to obtain the power supply temperature difference value of the mobile phone POS machine at each time point;
the power supply temperature difference value at each time point is added, summed and divided by the number of the time points to obtain a power supply temperature deviation value DWPu of the mobile phone POS machine in an intelligent detection period;
step SS6: by the formula
Calculating to obtain a hardware performance value YXu of the mobile phone POS machine in an intelligent detection period; wherein b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant;
the hardware detection module feeds back a hardware performance value YXu or a hardware abnormality signal of the mobile phone POS machine in an intelligent detection period to the server;
if the server receives the hardware abnormality signal, an alarm instruction is generated and loaded to an alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the hardware performance value YXu of the mobile phone POS machine in the intelligent detection period, forwarding the hardware performance value YXu to the intelligent detection module;
the intelligent detection module is used for carrying out intelligent detection on the mobile phone POS machine after receiving the environment deviation value and the hardware performance value, and the working process is as follows:
step P1: obtaining a corresponding environment deviation threshold and a hardware performance threshold according to the detection grade of the mobile phone POS machine, and marking the environment deviation threshold and the hardware performance threshold as YHPu and YYXu respectively;
step P2: if HPu is less than YHPu and YXu is more than YYXu, generating a detection normal signal;
step P3: if HPu is more than or equal to YHPu and YXu is more than or equal to YYXu, or HPu is less than or equal to YHPu and YXu is less than or equal to YYXu, or HPu is more than or equal to YHPu and YXu is less than or equal to YYXu, generating a detection abnormal signal;
the intelligent detection module feeds back a detection normal signal or a detection abnormal signal to the server;
if the server receives the detection normal signal, no operation is performed;
if the server receives the detection abnormal signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
in the present application, if a corresponding calculation formula appears, the above calculation formulas are all dimensionality-removed and numerical calculation, and the size of the weight coefficient, the scale coefficient and other coefficients existing in the formulas is a result value obtained by quantizing each parameter, so long as the proportional relation between the parameter and the result value is not affected.
In another embodiment, based on the further conception of the unified invention, a working method of an intelligent detection system for errors of a mobile phone POS machine of an off-line store is provided, and the working method specifically comprises the following steps: step S100, staff inputs the delivery time of the mobile POS machine through a user terminal and sends the delivery time to a server, the server sends the delivery time of the mobile POS machine to a use analysis module, the use condition of the mobile POS machine is analyzed through the use analysis module, the mobile POS machine is marked as u, then the delivery time TCu of the mobile POS machine and the current time TDu of the server are obtained, the calculation is carried out through a formula TSu = TDu-TCu, the service life TSu of the mobile POS machine is obtained, if TSu is smaller than X1, the detection grade of the mobile POS machine is a third detection grade, if X1 is smaller than TSu and smaller than X2, the detection grade of the mobile POS machine is a second detection grade, if X2 is smaller than TSu, the detection grade of the mobile POS machine is a first detection grade, the use analysis module feeds back the detection grade of the mobile POS machine to the server, the standard environment parameters of the mobile POS machine are sent to the environment detection module according to the detection grade, the standard hardware parameters of the mobile POS machine are sent to the hardware detection module, and the preset detection data of the mobile POS machine are sent to the intelligent detection module;
step S200, acquiring hardware data and environment data of the mobile phone POS machine through a data acquisition module, transmitting the hardware data and the environment data to a server, transmitting the hardware data to a hardware detection module and the environment data to an environment detection module by the server, storing standard environment parameters and standard hardware parameters of the mobile phone POS machine in the server, transmitting the standard environment parameters to the environment detection module, and transmitting the preset hardware number of the mobile phone POS machine to the hardware detection module;
step S300, detecting the use environment of the mobile POS machine through an environment detection module, setting an intelligent detection period of the mobile POS machine, setting a plurality of time points in the intelligent detection period, acquiring uploading network speed values and downloading network speed values corresponding to the mobile POS machine when the mobile POS machine is in a plurality of time points, generating environment abnormal signals if the uploading network speed values of all the time points are smaller than uploading network speed threshold values or the downloading network speed values of all the time points are smaller than downloading network speed threshold values, calculating the difference value between the uploading network speed values and the uploading network speed threshold values when the uploading network speed value of any time point is larger than or equal to the uploading network speed threshold value or the downloading network speed value of any time point is smaller than the downloading network speed threshold value to obtain the uploading network speed value of the mobile POS machine when the mobile POS machine is in each time point, obtaining the download network speed difference value of the mobile POS machine in each time point, obtaining the upload network speed difference value SSPu of the mobile POS machine in the intelligent detection period by adding, summing and dividing the number of the time points by the upload network speed difference value in each time point, obtaining the download network speed difference value XSPu of the mobile POS machine in the intelligent detection period by adding, summing and dividing the number of the time points by the download network speed difference value in each time point, obtaining the environmental deviation value HPu of the mobile POS machine in the intelligent detection period by calculating the formula HPu =SSPux1+XSPuxa 2, feeding the environmental deviation value HPu or environmental abnormality signal of the mobile POS machine in the intelligent detection period back to the server by the environmental detection module, generating an alarm instruction to be loaded to the alarm unit if the server receives the environmental abnormality signal, sending out an alarm sound after the alarm unit receives the alarm instruction, if the server receives the environmental deviation value HPu of the mobile phone POS machine in the intelligent detection period, the environmental deviation value HPu is forwarded to the intelligent detection module;
step S400, detecting the hardware condition of the mobile phone POS machine through a hardware detection module to obtain the preset use duration of each part in the mobile phone POS machine, generating a hardware abnormal signal if the use duration of the mobile phone POS machine exceeds the preset use duration of any part, obtaining the residual use duration of each part in the mobile phone POS machine by subtracting the use duration of the mobile phone POS machine from the preset use duration if the use duration of the mobile phone POS machine does not exceed the preset use duration of all parts, obtaining the minimum residual use duration after traversing comparison of the residual use durations of each part in the mobile phone POS machine, marking the minimum residual use duration in the mobile phone POS machine as the hardware use duration TYu of the mobile phone POS machine, combining an intelligent detection period of a mobile phone POS machine and setting a plurality of time points in the intelligent detection period to obtain power supply temperature values corresponding to the mobile phone POS machine at the plurality of time points, generating a hardware abnormal signal if the power supply temperature values at all the time points are larger than or equal to a power supply preset temperature value, calculating the difference value between the power supply temperature values at all the time points and the power supply preset temperature value if the power supply temperature value at any one time point is smaller than the power supply preset temperature value to obtain the power supply temperature difference value of the mobile phone POS machine at all the time points, and obtaining a power supply temperature deviation value DWPu of the mobile phone POS machine in the intelligent detection period by dividing the number of the power supply temperature difference values at all the time points by adding and summing the power supply temperature difference values at all the time points through a formula
The hardware performance value YXu of the mobile phone POS machine in the intelligent detection period is obtained through calculation, the hardware detection module feeds back the hardware performance value YXu or a hardware abnormality signal of the mobile phone POS machine in the intelligent detection period to the server, an alarm instruction is generated and loaded to the alarm unit if the server receives the hardware abnormality signal, the alarm unit sends out an alarm sound after receiving the alarm instruction, and if the server receives the hardware performance value YXu of the mobile phone POS machine in the intelligent detection period, the hardware performance value YXu or the hardware abnormality signal is forwarded to the intelligent detection module;
and S500, performing intelligent detection on the mobile phone POS machine after receiving the environment deviation value and the hardware performance value by the intelligent detection module, obtaining a corresponding environment deviation threshold and a hardware performance threshold according to the detection grade of the mobile phone POS machine, respectively marking the environment deviation threshold and the hardware performance threshold as YHPu and YYexu, generating a detection normal signal if HPu is smaller than YHPu and YXu is larger than YYexu, generating a detection abnormal signal if HPu is larger than or equal to YHPu and YXu is larger than YYexu, or HPu is smaller than YHPu and YXu is smaller than or equal to YYexu, or HPu is larger than or equal to YHPu and YXu is smaller than or equal to YYexu, feeding back the detection normal signal or the detection abnormal signal to the server, and not performing any operation if the server receives the detection normal signal, generating an alarm instruction to be loaded to the alarm unit if the server receives the detection abnormal signal, and sending out an alarm sound after the alarm unit receives the alarm instruction.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. An intelligent detection system for errors of a mobile phone POS machine of an off-line store is characterized by comprising:
the data acquisition module is used for acquiring hardware data and environment data of the mobile phone POS machine;
the user terminal is used for inputting the delivery time of the mobile phone POS machine;
the use analysis module is used for analyzing the use condition of the mobile phone POS machine to obtain the detection grade of the mobile phone POS machine;
the server sends preset detection data of the mobile phone POS machine to the intelligent detection module according to the detection grade;
the server is also used for storing standard environment parameters and standard hardware parameters of the mobile phone POS machine;
the environment detection module is used for detecting the use environment of the mobile phone POS machine to obtain an environment deviation value of the mobile phone POS machine in an intelligent detection period or generate an environment abnormal signal;
the hardware detection module is used for detecting the hardware condition of the mobile phone POS machine to obtain a hardware performance value or a hardware abnormal signal of the mobile phone POS machine in an intelligent detection period;
the intelligent detection module is used for intelligently detecting the mobile phone POS machine and generating a detection normal signal or a detection abnormal signal.
2. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 1, wherein the hardware data comprises a power supply temperature value of the mobile phone POS machine and the use duration of each part;
the environment data comprises an uploading network speed value and a downloading network speed value of the mobile phone POS machine;
the preset detection data comprise an environment deviation threshold value and a hardware performance threshold value;
the standard environment parameters comprise an uploading network speed threshold value and a downloading network speed threshold value;
the standard hardware parameters comprise a preset temperature value of the power supply and preset use time of each part.
3. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 2, wherein the analysis process using the analysis module is specifically as follows:
acquiring the delivery time of a mobile phone POS machine and the current time of a server;
calculating to obtain the service time of the mobile phone POS machine;
and comparing the time length with the time length threshold value to judge the detection grade of the mobile phone POS machine as a third detection grade, a second detection grade or a first detection grade.
4. The intelligent offline store mobile phone POS machine error detection system according to claim 3, wherein the first detection level is higher than the second detection level, and the second detection level is higher than the third detection level.
5. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 4, wherein the detection process of the environment detection module is specifically as follows:
setting an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring an uploading network speed value and a downloading network speed value corresponding to the mobile phone POS machine when the time points are a plurality of time points;
if the uploading network speed values of all the time points are smaller than the uploading network speed threshold value or the downloading network speed values of all the time points are smaller than the downloading network speed threshold value, generating an environment abnormal signal;
if the uploading network speed value at any time point is larger than or equal to the uploading network speed threshold value or the downloading network speed value at any time point is smaller than the downloading network speed threshold value, calculating the difference value between the uploading network speed value and the uploading network speed threshold value at each time point to obtain the uploading network speed difference value of the mobile POS machine at each time point, and simultaneously calculating the difference value between the downloading network speed value and the downloading network speed threshold value at each time point to obtain the downloading network speed difference value of the mobile POS machine at each time point;
the method comprises the steps that the uploading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain the uploading network speed deviation value of the mobile phone POS machine in the intelligent detection period, and the downloading network speed difference value adding and summing at each time point is divided by the number of the time points to obtain the downloading network speed deviation value of the mobile phone POS machine in the intelligent detection period;
and calculating the environmental deviation value of the mobile phone POS machine in the intelligent detection period.
6. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 5, wherein the environment detection module feeds back an environment deviation value or a generated environment abnormality signal of the mobile phone POS machine to a server in an intelligent detection period;
if the server receives the environment abnormal signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the environmental deviation value HPu of the mobile phone POS machine in the intelligent detection period, the environmental deviation value HPu is forwarded to the intelligent detection module.
7. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 6, wherein the detection process of the hardware detection module is specifically as follows:
acquiring the preset use time length of each part in the mobile phone POS machine, and generating a hardware abnormal signal if the use time length of the mobile phone POS machine exceeds the preset use time length of any part;
if the using time length of the mobile phone POS machine does not exceed the preset using time length of all the parts, the using time length of the mobile phone POS machine is subtracted by the preset using time length to obtain the remaining using time length of each part in the mobile phone POS machine, the remaining using time length of each part in the mobile phone POS machine is traversed and compared to obtain the minimum remaining using time length, and the minimum remaining using time length in the mobile phone POS machine is calibrated to be the hardware using time length of the mobile phone POS machine;
combining an intelligent detection period of the mobile phone POS machine, setting a plurality of time points in the intelligent detection period, and acquiring power supply temperature values corresponding to the mobile phone POS machine when the time points are a plurality of time points;
generating a hardware abnormality signal if the power supply temperature value at all time points is greater than or equal to a power supply preset temperature value;
if the power supply temperature value at any time point is smaller than the power supply preset temperature value, calculating the difference value between the power supply temperature value at each time point and the power supply preset temperature value to obtain the power supply temperature difference value of the mobile POS machine at each time point;
the power supply temperature difference value at each time point is added, summed and divided by the number of the time points to obtain the power supply temperature deviation value of the mobile phone POS machine in the intelligent detection period;
and calculating the hardware performance value of the mobile phone POS machine in the intelligent detection period.
8. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 7, wherein the hardware detection module feeds back a hardware performance value or a hardware abnormality signal of the mobile phone POS machine in an intelligent detection period to a server;
if the server receives the hardware abnormality signal, an alarm instruction is generated and loaded to an alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction;
if the server receives the hardware performance value YXu of the mobile phone POS machine in the intelligent detection period, the hardware performance value YXu is forwarded to the intelligent detection module.
9. The intelligent detection system for errors of a mobile phone POS machine of an off-line store according to claim 8, wherein the working process of the intelligent detection module is specifically as follows:
obtaining a corresponding environment deviation threshold value and a hardware performance threshold value according to the detection grade of the mobile phone POS machine;
the environment deviation threshold value is compared with the environment deviation value, and the hardware performance threshold value is compared with the hardware performance threshold value;
and generating a detection normal signal or a detection abnormal signal according to the comparison result.
10. The intelligent detection system for errors of the POS machine of the store mobile phone under line according to claim 9, wherein the intelligent detection module feeds back a detection normal signal or a detection abnormal signal to the server;
if the server receives the detection normal signal, no operation is performed;
if the server receives the abnormal detection signal, an alarm instruction is generated and loaded to the alarm unit, and the alarm unit sends out alarm sound after receiving the alarm instruction.
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