A control system for financial cash register equipment
By introducing signal recording, verification, monitoring and abnormal detection modules into the financial cashier equipment, the signal changes are analyzed in real time, and the problem of untimely change of permissions is solved and the loss of abnormal signals to the equipment is reduced.
Patent Information
- Application Number
- CN202510128299.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-05
- Publication Date
- 2025-08-12
- Estimated Expiration
- 2045-02-05
AI Technical Summary
After the existing financial cashier equipment control system is connected to unauthorized or abnormal control signals, the permissions are not changed in time, resulting in an increase in equipment losses.
Design a control system for financial cashier equipment, including signal recording, verification, monitoring, analysis and abnormality detection modules, and establish a signal model by monitoring signal changes in real time, judging the probability of abnormal signals, and adjusting permissions if necessary.
Effectively reduce equipment losses caused by abnormal signals, and timely restrict equipment permissions through real-time monitoring and permission management to reduce the impact of abnormalities.
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Figure CN119961914B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of program control, and more particularly to a control system for financial cash register equipment. Background Art
[0002] The cash register monitoring and control system automatically adjusts itself according to pre-defined criteria based on internal threshold rules and a logical framework, ensuring an optimal dynamic balance between inventory pressure and sales pressure. It also monitors financial cash register equipment in real time for abnormal control signals and, based on pre-defined frameworks and procedures, limits access to financial cash registers.
[0003] An existing patent discloses a multi-heterogeneous smart factory integration system (publication number CN113848840A), which features a processing module and a resource and financial data storage system, each connected to the processing module by signal, a production control system, a production instruction input module, and a display module. The production control system is connected to the production equipment by signal. In the technology disclosed in this patent, when the equipment computer is monitored by the monitoring unit, due to the lack of specific monitoring parameters and judgment thresholds, this results in the control system disclosed in this patent being unable to change the device's permissions in a timely manner after receiving unauthorized or abnormal control signals, resulting in further losses. Summary of the Invention
[0004] The main technical problem solved by the present invention is to provide a control system for a financial cash register device, which solves the problems in the above-mentioned background technology.
[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a control system for a financial cash register device includes a signal recording module, a signal verification module, a signal monitoring module, a signal analysis module, an anomaly detection module, and a permission management module;
[0006] The signal recording module is used to record the changes in signal amplitude and frequency when the financial cash register device is in use, as well as the time and number of times the amplitude change exceeds a set threshold;
[0007] The signal verification module is used to verify the change in the signal amplitude and frequency recorded by the signal recording module, as well as the time and number of times that the signal exceeds the threshold;
[0008] The signal monitoring module is used to monitor abnormal signal changes of the cash register device in real time and to trace the signal analysis log;
[0009] The signal analysis module analyzes the frequency of signal changes and the persistence of signal anomalies in combination with the feedback from the signal recording module and the signal monitoring module;
[0010] The anomaly detection module is used to detect whether the abnormal signal complies with the rules and whether it exceeds the set threshold based on the signal change frequency and the persistence state of the signal anomaly analyzed by the signal analysis module;
[0011] The authority management module is used to receive feedback from the anomaly detection module and adjust the authority of the cash register device according to the feedback.
[0012] Furthermore, the signal monitoring module specifically includes: a signal tracing module and a signal audit module;
[0013] The signal tracing module is used to generate a complete signal change log and perform tracing queries on abnormal signal logs;
[0014] The signal audit module is used to review unauthorized signal access.
[0015] Furthermore, the signal monitoring module monitors the signal changes of the cash register device and compares the collected signal with the abnormal signal analysis log to determine the overlap between the changes in the amplitude and frequency of the collected signal and the abnormal amplitude and frequency changes in the historical analysis log.
[0016]
[0017] Where C represents the overlap between the signal variation collected from the cash register device and the abnormal signal in history, m1 represents the proportion of high-frequency signals in the total collected signals, and s represents the similarity of the high-frequency signal intervals.
[0018]
[0019] Where u represents the influence coefficient of the abnormal signal marked in the historical log, m0 represents the proportion of the high-frequency signal in the abnormal data log in the total collected signal, and a represents the similarity between the amplitude of the high-frequency signal and the amplitude of the high-frequency signal in the historical log;
[0020] When the overlap C between the signal change collected from the cash register device and the abnormal signal in history is greater than 60%, it indicates the possibility of an abnormal signal. At this time, further specific analysis of the abnormal signal is required to determine whether it is necessary to restrict the opening permission of the coin drawer of the financial cash register device.
[0021] Furthermore, by combining the signal changes collected from the cash register equipment with the degree of overlap of abnormal signals in history, as well as the frequency and amplitude of high-frequency signals in the monitored signals, and the probability of repeated high-frequency signals, a signal model is established for signal analysis. The results are:
[0022]
[0023] Where H represents the probability of an abnormal signal being introduced into the cash register device, f represents the frequency of high-frequency signals appearing in the cash register device monitoring signal, and h represents the amplitude of the high-frequency signal. In addition,
[0024]
[0025] In the formula, d represents the probability of repeated occurrence of high-frequency signals, and T represents the interval time of high-frequency signals;
[0026] When H≤25% or H≥87%, it indicates that an abnormal signal has been introduced into the control center of the financial cash register device.
[0027] Furthermore, based on the transaction frequency, transaction cycle, and transaction continuity of signal analysis, an anomaly detection model is established to analyze cash register anomalies, including:
[0028]
[0029] Where K represents the indicator constant for restricting the permissions of the cash register device, H represents the probability of the financial cash register device being introduced with an abnormal signal, d represents the probability of the high-frequency signal recurring, and t represents the continuous working time of the cash register device.
[0030] When 2.5≤K<5.3, it means that the permission to open the cash drawer of the cash register device needs to be restricted.
[0031] Furthermore, the signal analysis module specifically includes: a frequency detection module and an anomaly detection module;
[0032] The frequency detection module is used to detect whether the cash register device has any unconventional high-frequency signals or abnormal frequency signals introduced;
[0033] The anomaly detection module is used to detect amplitudes and frequencies exceeding thresholds, and to determine whether signal changes in the cash register device are human-induced or machine-induced.
[0034] Furthermore, the anomaly detection module specifically includes: a continuity detection module and a rule detection module;
[0035] The continuity detection module is used to detect similar signal changes that occur continuously or in batches;
[0036] The rule detection module detects abnormal states of the cash register device according to preset rules and models.
[0037] Furthermore, the authority management module also includes changing the signal analysis log of the signal recording module according to the authority.
[0038] The beneficial effects of the control system of a financial cash register device of the present invention are:
[0039] 1. The present invention monitors and analyzes the signal variables of the verification device in real time, thereby effectively judging the probability of abnormal control signals appearing in the financial cash register device. When it is determined that there is an abnormal data change, the device authority will be immediately changed through the authority management module to reduce the loss caused by the abnormality.
[0040] 2. The present invention collects the signal change of the cash register device and compares it with the abnormal signals in the history, thereby determining the overlap between the control signal change of the cash register device and the abnormal signals in the history, and judging whether the control signal needs to be further analyzed based on the overlap. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] The present invention will be further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0042] Figure 1 It is the principle diagram of the cashier monitoring and control system of the present invention. DETAILED DESCRIPTION
[0043] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.
[0044] like Figure 1As shown, according to one aspect of the present invention, a control system for a financial cash register device is provided, comprising a signal recording module, a signal verification module, a signal monitoring module, a signal analysis module, an anomaly detection module and a permission management module; the signal recording module is used to record the changes in the signal amplitude and frequency when the financial cash register device is in use, as well as the time and number of times the amplitude change exceeds a set threshold; the signal verification module is used to verify the changes in the signal amplitude and frequency recorded by the signal recording module, as well as the time and number of times the threshold is exceeded; the signal monitoring module is used to monitor the abnormal signal changes of the cash register device in real time, and to trace the analysis log of the signal; the signal analysis module, in combination with the signal recording module and the signal The signal monitoring module receives feedback from the signal, and analyzes the frequency of signal changes and the duration of signal anomalies. The anomaly detection module detects whether the abnormal signal complies with the rules and whether it exceeds the set threshold based on the signal change frequency and the duration of signal anomalies analyzed by the signal analysis module. The authority management module receives feedback from the anomaly detection module, and adjusts the authority of the cash register device according to the feedback. By monitoring and analyzing the signal variables of the verification device in real time, the probability of abnormal control signals appearing in the financial cash register device can be effectively determined. When it is determined that there is an abnormal data change, the authority of the device will be changed immediately through the authority management module to reduce the loss caused by this anomaly.
[0045] In this embodiment, the signal monitoring module specifically includes: a signal tracing module and a signal audit module; the signal tracing module is used to generate a complete signal change log and conduct retrospective queries on abnormal signal logs; the signal audit module is used to review unauthorized signal access. The signal monitoring module monitors the signal changes of the cash register device and verifies the collected signal with the abnormal signal analysis log to determine the degree of overlap between the changes in the amplitude and frequency of the collected signal and the abnormal amplitude and frequency changes in the historical analysis log.
[0046]
[0047] Where C represents the overlap between the signal variation collected from the cash register device and the abnormal signal in history, m1 represents the proportion of high-frequency signals in the total collected signals, and s represents the similarity of the high-frequency signal intervals.
[0048]
[0049] Where u represents the influence coefficient of the abnormal signal marked in the historical log, m0 represents the proportion of the high-frequency signal in the abnormal data log in the total collected signal, and a represents the similarity between the amplitude of the high-frequency signal and the amplitude of the high-frequency signal in the historical log.
[0050] The proportion of high-frequency signals in the abnormal data log in the total collected signals is m0 = 45%, and the similarity between the amplitude of the high-frequency signal and the amplitude of the high-frequency signal in the historical log is a = 72%. Then:
[0051]
[0052] Furthermore, the proportion of high-frequency signals in the total collected signals is set to m1 = 62%, and the similarity of the high-frequency signal intervals is set to s = 64% (the similarity of the high-frequency signal intervals refers to the ratio of the time interval between the occurrence of high-frequency signals to the time interval of high-frequency signals in the historical analysis log). Then, we have:
[0053]
[0054] From the above calculation, it can be known that the overlap between the signal variation collected by the cash register device and the abnormal signal in the history is C=64.4%.
[0055] When the overlap C between the signal change collected from the cash register device and the abnormal signal in history is greater than 60%, it indicates the possibility of an abnormal signal. At this time, further specific analysis of the abnormal signal is required to determine whether it is necessary to restrict the opening permission of the coin drawer of the financial cash register device.
[0056] In this embodiment, a signal model is established for signal analysis based on the overlap between the signal variation collected from the cash register device and the abnormal signal history, as well as the frequency and amplitude of high-frequency signals in the monitored signals, and the probability of repeated high-frequency signals. The results are:
[0057]
[0058] Where H represents the probability of an abnormal signal being introduced into the cash register device, f represents the frequency of high-frequency signals appearing in the cash register device monitoring signal, and h represents the amplitude of the high-frequency signal. In addition,
[0059]
[0060] In the formula, d represents the probability of repeated occurrence of high-frequency signals, and T represents the interval time of high-frequency signals;
[0061] When H≤25% or H≥87%, it indicates that an abnormal signal has been introduced into the control center of the financial cash register device.
[0062] Here, the probability of high-frequency signal recurrence is d = 36%, the interval time of high-frequency signal is T = 0.5 (seconds), and the amplitude of high-frequency signal is h = 99, then:
[0063]
[0064] Furthermore, the frequency of high-frequency signals in the cash register device monitoring signal is taken as f = 12 (times / millisecond), then:
[0065]
[0066] From the above calculation, it can be known that the probability of the financial cash register device being introduced with an abnormal signal is H=23%, and the control center of the financial cash register device is introduced with an abnormal signal.
[0067] In this embodiment, based on the transaction frequency, transaction cycle, and transaction continuity of the signal analysis, an anomaly detection model is established to analyze cash register anomalies, including:
[0068]
[0069] Where K represents the indicator constant for restricting the permissions of the cash register device, H represents the probability of the financial cash register device being introduced with an abnormal signal, d represents the probability of the high-frequency signal recurring, and t represents the continuous working time of the cash register device.
[0070] When 2.5≤K<5.3, it means that the permission to open the cash drawer of the cash register device needs to be restricted.
[0071] The probability of an abnormal signal being introduced to the financial cash register device is H = 23%, the probability of a high-frequency signal recurring is d = 78%, and the cash register device's continuous working time is t = 0.2 (year). Then, we have:
[0072]
[0073] From the above calculations, we can see that it is necessary to restrict the permissions of the cash register device.
[0074] In this embodiment, the signal analysis module specifically includes: a frequency detection module and an anomaly detection module; the frequency detection module is used to detect whether the cash register device has the input of unconventional high-frequency signals and signals of abnormal frequencies; the anomaly detection module is used to detect amplitudes and frequencies exceeding thresholds, and to determine whether the signal changes of the cash register device are human-induced or machine-induced. The anomaly detection module specifically includes: a continuity detection module and a rule detection module; the continuity detection module is used to detect similar signal changes that occur continuously or in batches; the rule detection module detects abnormal states of the cash register device based on preset rules and models. The authority management module also includes the signal analysis log of the signal recording module according to authority changes, and by collecting the signal changes of the cash register device and comparing them with the abnormal signals in the history, it determines the degree of overlap between the change in the control signal of the cash register device and the abnormal signals in the history, and determines whether the control signal needs to be further analyzed based on the overlap.
[0075] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the scope of protection of the present invention.
Claims
1. A control system for a financial cash register device, characterized in that: It includes signal recording module, signal verification module, signal monitoring module, signal analysis module, anomaly detection module and authority management module; The signal recording module is used to record the changes in signal amplitude and frequency when the financial cash register device is in use, as well as the time and number of times the amplitude change exceeds a set threshold; The signal verification module is used to verify the change in the signal amplitude and frequency recorded by the signal recording module, as well as the time and number of times that the signal exceeds the threshold; The signal monitoring module is used to monitor abnormal signal changes of the cash register device in real time and to trace the signal analysis log; The signal analysis module analyzes the frequency of signal changes and the persistence of signal anomalies in combination with the feedback from the signal recording module and the signal monitoring module; The anomaly detection module is used to detect whether the abnormal signal complies with the rules and whether it exceeds the set threshold based on the signal change frequency and the persistence state of the signal anomaly analyzed by the signal analysis module; The authority management module is used to receive feedback from the anomaly detection module and adjust the authority of the cash register device according to the feedback; The signal monitoring module monitors the signal changes of the cash register device and verifies the collected signal with the abnormal signal analysis log to determine the overlap between the changes in the amplitude and frequency of the collected signal and the changes in the abnormal amplitude and frequency in the historical analysis log. ; in, Indicates the degree of overlap between the signal change collected from the cash register device and the abnormal signal in the history. Indicates the proportion of high-frequency signals in the total collected signals. Indicates the similarity of high-frequency signal intervals; and: ; Where, Indicates the impact coefficient of abnormal signals marked in historical logs, Indicates the proportion of high-frequency signals in the total collected signals in the abnormal data log. Indicates the similarity between the amplitude of the high-frequency signal and the amplitude of the high-frequency signal in the historical log; When the signal change collected from the cash register device coincides with the abnormal signal in the history When , it indicates that there is a possibility of an abnormal signal. At this time, further specific analysis of the abnormal signal is required to determine whether it is necessary to restrict the opening authority of the coin drawer of the financial cash register device.
2. The control system of the financial cash register device according to claim 1, characterized in that: The signal monitoring module specifically includes: a signal tracing module and a signal audit module; The signal tracing module is used to generate a complete signal change log and perform tracing queries on abnormal signal logs; The signal audit module is used to review unauthorized signal access.
3. The control system of the financial cash register device according to claim 1, characterized in that: By combining the signal changes collected from the cash register equipment with the degree of overlap of abnormal signals in history, as well as the frequency and amplitude of high-frequency signals in the monitored signals, and the probability of repeated occurrence of high-frequency signals, a signal model is established for signal analysis. The results are: ; in, Indicates the probability of abnormal signals being imported into the financial cash register equipment. Indicates the frequency of high-frequency signals appearing in the cash register equipment monitoring signal. represents the amplitude of the high-frequency signal; and: ; Where, represents the probability of repeated occurrence of high-frequency signals, Indicates the interval time of high-frequency signal; when or When , it means that an abnormal signal has been imported into the control center of the financial cash register equipment.
4. The control system of the financial cash register device according to claim 3, characterized in that: Based on the transaction frequency, transaction cycle, and transaction continuity of signal analysis, an anomaly detection model is established to analyze cash register anomalies, including: ; Where, Indicator constant indicating the need to restrict the permissions of cash register equipment. Indicates the probability of abnormal signals being imported into the financial cash register equipment. represents the probability of repeated occurrence of high-frequency signals, Indicates the continuous and uninterrupted working time of the cash register equipment; when , it means that the permission to open the cash register's change drawer needs to be restricted.
5. The control system of the financial cash register device according to claim 1, characterized in that: The signal analysis module specifically includes: a frequency detection module and an anomaly detection module; The frequency detection module is used to detect whether the cash register device has any unconventional high-frequency signals or abnormal frequency signals introduced; The anomaly detection module is used to detect amplitudes and frequencies exceeding thresholds, and to determine whether signal changes in the cash register device are human-induced or machine-induced.
6. The control system of the financial cash register device according to claim 1, characterized in that: The anomaly detection module specifically includes: a continuity detection module and a rule detection module; The continuity detection module is used to detect similar signal changes that occur continuously or in batches; The rule detection module detects abnormal states of the cash register device according to preset rules and models.
7. The control system of the financial cash register device according to claim 1, characterized in that: The authority management module also includes changing the signal analysis log of the signal recording module according to the authority.
Citation Information
Patent Citations
Multi-element heterogeneous smart factory integration system
CN113848840A
IO module of industrial monitoring system
CN118838238A