Intelligent remote control system for smart security box

Abstract

The present invention discloses an intelligent remote control system for an intelligent security box, comprising a path planning module, a remote monitoring data acquisition module, a security verification analysis module and a dynamic password output module, wherein the path planning module and the remote monitoring data acquisition module are both communicatively connected to the security verification analysis module, and the security verification analysis module is communicatively connected to the dynamic password output module; wherein the path planning module is used to plan the transportation route of the intelligent security box during the transportation stage; the remote monitoring data acquisition module is suitable for collecting and monitoring the transportation status data of the intelligent security box during the transportation process of the intelligent security box; the security verification analysis module is used to analyze the status of the intelligent security box during the transportation stage and perform abnormal status judgment based on the collected data of the remote monitoring data acquisition module; the present invention has the characteristics of strong practicality and high intelligence.

Description

Technical Field

[0001] The present invention relates to the fields of financial technology and Internet of Things security technology, and specifically to an intelligent remote control system for an intelligent security box. Background Art

[0002] The smart security box is a new generation of financial system cash withdrawal box product developed and produced in accordance with the industry standard "GA746-2020 Cash Withdrawal Box Standard". It is a storage device used to store and protect cash. It is widely used in banks, financial institutions, transportation companies and other places where cash storage is required. It is mainly used to prevent theft. It can record the time of each opening and closing of the box in real time, and determine the responsibilities among the bank, transportation and vault at the time of the crime, providing solid protection for the safe transportation of cash.

[0003] With the rapid development of banking business and the improvement of industry security standards, in the process of cash delivery at bank ATMs, in order to strengthen delivery supervision and balance the risks of strong external operability in the delivery process, the intelligent remote control system of the smart security box is used to generate a dynamic password for the transport personnel. Only after the transport personnel complete the dual verification of identity and dynamic password can they continue to perform the transportation task to improve security.

[0004] However, the dynamic password generation mechanism of existing smart remote control systems for smart security boxes relies on random generation and spot checks during transportation. Frequent dynamic password input for security verification inevitably affects delivery efficiency, while reducing the frequency of dynamic password input increases risks during transportation and can even lead to undetected theft through program cracking, exponentially increasing the difficulty of recovering property. Therefore, it is imperative to design a highly practical and intelligent smart remote control system for smart security boxes. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent remote control system for an intelligent security box to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent remote control system for an intelligent security box, comprising a path planning module, a remote monitoring data acquisition module, a security verification and analysis module, and a dynamic password output module, wherein the path planning module and the remote monitoring data acquisition module are both communicatively connected to the security verification and analysis module, and the security verification and analysis module is communicatively connected to the dynamic password output module; wherein,

[0007] The path planning module is used to plan the transportation route of the smart security box during the transportation phase;

[0008] The remote monitoring data acquisition module is suitable for collecting and monitoring the transportation status data of the smart security box during transportation;

[0009] The security verification and analysis module is used to analyze the status of the smart security box during the transportation phase and make abnormal status judgments based on the data collected by the remote monitoring data collection module;

[0010] The dynamic password output module is used to output the dynamic password according to the analysis result of the security verification analysis module.

[0011] According to the above technical solution, the path planning module includes a transport task acquisition module, a route database matching module and a route monitoring mode division module, and the route database matching module is respectively communicated with the transport task acquisition module and the route monitoring mode division module; wherein,

[0012] The transport task acquisition module is used to access the relevant task system to obtain the transport starting point, end point and start time point corresponding to the smart security box;

[0013] The route database matching module is used to build a historical transport task database, register and store the associated data of the starting point, end point and transport route of the historical transport tasks;

[0014] The route monitoring mode division module is used to divide the route monitoring mode into a key monitoring analysis part and an abnormal sensing analysis part after matching the delivery route according to the route database matching module.

[0015] According to the above technical solution, the remote monitoring data acquisition module includes an identity authentication and intercommunication module, an acceleration sensing module, a gyroscope sensing module and a position information acquisition module; wherein,

[0016] The identity authentication intercommunication module is used to integrate dynamic password technology with the identity authentication system to perform double security verification;

[0017] The acceleration sensing module is suitable for measuring the acceleration value of the smart security box in the vertical direction during the transportation stage;

[0018] The gyroscope sensing module is suitable for measuring the rotational angular velocity value of the smart security box during the transportation stage;

[0019] The position information acquisition module is used to collect the real-time coordinate position of the intelligent security box during the transportation stage.

[0020] According to the above technical solution, the security verification and analysis module includes a data sorting module, a data processing channel 1, a data processing channel 2 and a comparison and judgment module; wherein,

[0021] The data sorting module is used to classify and sort out the monitoring data to obtain relevant data;

[0022] The data processing channel 1 is used to perform data analysis and processing on the route-related data of the key monitoring and analysis part;

[0023] The second data processing channel is used to perform data analysis and processing on the route-related data of the abnormal sensing analysis part;

[0024] The comparison and judgment module is used to compare and judge the processed data with the system preset standard value during the safety verification analysis process, and output the safety verification analysis results.

[0025] According to the above technical solution, the operation method of the intelligent remote control system of the intelligent security box includes the following steps:

[0026] Step S1: In response to receiving a command signal for transporting the intelligent security box, the transport task acquisition module is started and current transport information is acquired; wherein the transport information includes the transport starting point, the end point, and the start time of the transport;

[0027] Step S2: Establish a historical transport task database, and store the historical transport information, transport routes, and the monitoring and collection information of the remote monitoring data collection module during the corresponding transport process in the historical transport task database;

[0028] Step S3: At the same time, the starting point and end point information of the current transport are matched with the big data of the historical transport task database, and the transport route that is consistent with the starting point and end point of the current transport is output first. If there is no completely consistent starting point and end point, the transport route is output using the Internet navigation information; when there are two or more sets of transport routes that are consistent with the starting point and end point of the current transport, the default output is the transport route that is closest to the transport start time and the start time of the current transport task;

[0029] Step S4: dividing the transport route determined by the output into monitoring modes, wherein the divided transport route includes a key monitoring and analysis part and an abnormality sensing and analysis part;

[0030] Step S5: In response to receiving the signal to start entering the transportation phase, the identity authentication intercommunication module is activated to connect to the identity authentication system of the transport personnel, obtain the location of the transport personnel, and compare and double-verify the real-time coordinate position of the intelligent security box collected and monitored;

[0031] Step S6: The acceleration sensing module, the gyroscope sensing module and the position information acquisition module are used to respectively collect the vertical acceleration value a, the rotational angular velocity value b and the real-time coordinate position (x, y) of the smart security box during transportation;

[0032] Step S7: Receive the monitoring data in real time, and analyze the status of the smart security box in the transportation phase based on the data through the security verification and analysis module. If the analysis determines that the smart security box is in an abnormal state, an electrical signal is triggered to the dynamic password output module. If the analysis determines that the smart security box is in a normal state, the current step ends and steps S5-S7 are repeated.

[0033] Step S8: After the dynamic password output module responds to the electrical signal, it outputs the dynamic password to the transport personnel for security verification.

[0034] According to the above technical solution, in step S4, the method of dividing the determined transportation route into monitoring modes further includes:

[0035] Step S41: Retrieve all historical routes from the historical transport task database that overlap with the determined transport route and mark them;

[0036] Step S42: Retrieve the data collected by monitoring corresponding to any position (x, y) on the marked transport route, including the acceleration value in the vertical direction , angular velocity value ,in ;

[0037] Step S43: By formula And the formula Calculate the average acceleration value of all monitoring and collection records corresponding to any position (x, y) on the marked transportation route and the average angular velocity of rotation ;

[0038] Step S44: Setting the system default value and , calculate and calculate any position (x, y) on the marked transport route and and and Conduct comparative analysis and then determine the division of transport route monitoring modes.

[0039] According to the above technical solution, step S44 further includes:

[0040] Step S441: When the average acceleration value of all monitoring and collection records corresponding to any position (x, y) and the average angular velocity of rotation Satisfy at the same time and When the position is recorded, the adjacent positions under the minimum distance unit are compared and analyzed to see whether they meet the requirements of and If the condition is met, record the result; repeat step S441 to generate a location set that meets the condition;

[0041] Step S442: When there is at least one location in the qualified location set where 100 consecutive minimum distance units are adjacent locations, the section formed by the consecutive adjacent locations in the location set on the determined transportation route is divided into the abnormal sensing analysis part. After all the sections of the abnormal sensing analysis part are divided, the remaining sections of the transportation route are divided into the key monitoring and analysis sections.

[0042] According to the above technical solution, step S7 further includes:

[0043] Step S71: Create a data sorting table, and sort the real-time monitoring and collected data into categories according to the data sorting table;

[0044] Step S72: transmitting the data associated with the key monitoring and analysis sections that have been classified and sorted to the data processing channel 1, and performing data analysis on the route-related data of the key monitoring and analysis sections using the data processing channel 1;

[0045] Step S73: The data associated with the abnormal sensing analysis section that has been classified and sorted is transmitted to the data processing channel 2. In the data processing channel 2, the vertical acceleration value a, the rotation angular velocity value b of the smart security box under real-time monitoring and the preset standard value of the setting system are calculated. and contrast;

[0046] Step S74: In the data processing channel 2, when the comparison exists or When the comparison and judgment module outputs the judgment result that the intelligent security box is in an abnormal state.

[0047] According to the above technical solution, step S72 further includes:

[0048] Step S721: In the first data processing channel, the spatial line graph is created by mapping the starting coordinates and the minimum distance unit of each position point to the X-axis, the vertical acceleration value a to the Y-axis, and the rotational angular velocity value b to the Z-axis.

[0049] Step S722: Mark the Y-axis coordinates and Z-axis coordinates corresponding to the sorted acceleration values ​​a and rotational angular velocity values ​​b of each unit coordinate position, and then connect them to construct a monitoring data space broken line model;

[0050] Step S723: Further quickly retrieve the unit coordinate position and its associated average acceleration value that are the same as the spatial line graph in the historical transportation task database and the average angular velocity of rotation , and then in the spatial line graph, the acceleration value corresponding to each unit coordinate position and the angular velocity of rotation The corresponding Y-axis coordinates and Z-axis coordinates are punctuated, and then connected to build a historical big data spatial polyline model;

[0051] Step S724: perform similarity matching between the monitoring data spatial broken line model and the historical big data spatial broken line model. When the similarity matching value does not reach U%, the comparison and judgment module outputs a judgment result that the smart security box is in an abnormal state.

[0052] Compared with the prior art, the beneficial effects achieved by the present invention are: when analyzing and judging that there are abnormal conditions in the status of the smart security box during transportation, the present invention can timely trigger the generation of dynamic passwords to enable transportation personnel to cooperate with relevant security verification and identity authentication to eliminate possible abnormal risk suspicions, thereby greatly improving the security of task execution, and when there are no state abnormal conditions, the generation of dynamic passwords will not be triggered or verification will only be triggered according to a longer period preset by the system, so as to balance the strictness of security verification and the efficiency of the distribution process, and realize precise control of the frequency of dynamic password generation and verification strategy, which can not only respond quickly at critical moments and effectively prevent potential threats, but also avoid unnecessary verification processes and ensure smooth cash distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0054] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] See also Figure 1The present invention provides a technical solution: an intelligent remote control system for an intelligent security box, comprising a path planning module, a remote monitoring data acquisition module, a security verification and analysis module, and a dynamic password output module. The path planning module and the remote monitoring data acquisition module are both communicatively connected to the security verification and analysis module, and the security verification and analysis module is communicatively connected to the dynamic password output module; wherein,

[0057] The path planning module is used to plan the transportation route of the smart security box during the transportation phase;

[0058] The remote monitoring data acquisition module is suitable for collecting and monitoring the transportation status data of the smart security box during its transportation;

[0059] The security verification and analysis module is used to analyze the status of the smart security box during the transportation phase and make abnormal status judgments based on the data collected by the remote monitoring data collection module;

[0060] The dynamic password output module is used to output the dynamic password according to the analysis results of the security verification analysis module; when the analysis determines that there is an abnormality in the status of the smart security box during transportation, it can timely trigger the generation of a dynamic password so that the transportation personnel can cooperate with the relevant security verification and identity authentication to eliminate possible abnormal risk suspicions, thereby greatly improving the security of task execution; and when the analysis determines that there is no abnormality in the status during transportation, the generation of the dynamic password will not be triggered or the verification will only be triggered according to a longer period preset by the system, so as to balance the strictness of security verification and the efficiency of the distribution process, and realize precise control of the dynamic password generation frequency and verification strategy, which can not only respond quickly at critical moments and effectively prevent potential threats, but also avoid unnecessary verification processes to ensure the smooth progress of cash distribution.

[0061] The path planning module includes a transport task acquisition module, a route database matching module and a route monitoring mode division module, and the route database matching module is communicated with the transport task acquisition module and the route monitoring mode division module respectively; wherein,

[0062] The transport task acquisition module is used to access the relevant task system to obtain the transport starting point, end point and start time of the smart security box;

[0063] The route database matching module is used to build a historical transport task database, register and store the starting point, end point and transportation route related data of historical transport tasks;

[0064] The route monitoring mode division module is used to divide the route monitoring mode into the key monitoring and analysis part and the abnormal sensing analysis part after matching the delivery route according to the route database matching module; by dividing the route monitoring mode, the complete delivery route can be divided into the key monitoring and analysis part and the abnormal sensing analysis part, and then the hardware computing power can be reasonably allocated, unnecessary computing power expenditure costs can be reduced, and the system operation efficiency can be improved.

[0065] The remote monitoring data acquisition module includes an identity authentication intercommunication module, an acceleration sensing module, a gyroscope sensing module and a location information acquisition module; among them,

[0066] The identity authentication intercommunication module is used to integrate dynamic password technology with the identity authentication system for double security verification;

[0067] The acceleration sensing module is suitable for measuring the vertical acceleration value of the smart security box during the transportation stage;

[0068] The gyroscope sensor module is suitable for measuring the rotational angular velocity of the smart security box during the transportation phase;

[0069] The location information acquisition module is used to collect the real-time coordinate position of the smart security box during the transportation stage; by setting up a remote monitoring data acquisition module, remote centralized monitoring and collection can be carried out on each smart security box in the transportation stage at the same time, and the monitoring data can be transmitted to the system's security verification analysis module for analysis in real time. In this way, after the system analyzes the status of the smart security box, a dynamic password output mechanism can be added to realize the function of remote control and management.

[0070] The security verification and analysis module includes a data sorting module, a data processing channel 1, a data processing channel 2 and a comparison and judgment module; among them,

[0071] The data sorting module is used to classify and sort out the monitoring data and sort out the relevant data;

[0072] Data processing channel 1 is used to analyze and process the route-related data of the key monitoring and analysis part;

[0073] Data processing channel 2 is used to perform data analysis and processing on the route-related data of the abnormal sensing analysis part;

[0074] The comparison and judgment module is used to compare and judge the processed data with the system preset standard value during the security verification analysis process, and output the security verification analysis results; by setting up the security verification analysis module and using two sets of data processing channels, special analysis can be performed on the remotely monitored intelligent security box status data to determine whether there is an abnormal state during the transportation process while effectively ensuring the analysis operation rate, thereby improving the efficiency of sending dynamic passwords for remote control.

[0075] The operation method of the intelligent remote control system of the intelligent security box includes the following steps:

[0076] Step S1: In response to receiving a command signal for transporting the intelligent security box, the transport task acquisition module is started and current transport information is acquired; wherein the transport information includes the transport starting point, the end point, and the start time of the transport;

[0077] Step S2: Establish a historical transport task database, and store the historical transport information, transport routes, and the monitoring and collection information of the remote monitoring data collection module during the corresponding transport process in the historical transport task database;

[0078] Step S3: At the same time, the starting point and end point information of the current transport are matched with big data in the historical transport task database, and the transport route that is consistent with the starting point and end point of the current transport is output first. If there is no completely consistent starting point and end point, the transport route is output using the Internet navigation information; when there are two or more groups of transport routes that are consistent with the starting point and end point of the current transport, the default output is the transport route that is closest to the transport start time point and the start time of the current transport task; through the above steps, the constructed historical transport task database can be used to give priority to matching historical transport routes, making the current route planning more practical, and combined with the Internet navigation information and the transport start time point, making the current transport route planning more comprehensive and timely;

[0079] Step S4: dividing the transport route determined by the output into monitoring modes, wherein the divided transport route includes a key monitoring and analysis part and an abnormality sensing and analysis part;

[0080] Step S5: In response to receiving the signal to start entering the transportation phase, the identity authentication intercommunication module is activated, the identity authentication system of the transporter is connected, the transporter's location is obtained, and the location is compared and double-verified with the real-time coordinates of the smart security box collected and monitored. This ensures that only authorized personnel can open the cash box after entering the correct dynamic password and performing identity authentication. At the same time, the dual location of the transporter and the smart security box is effectively compared and verified, making it more difficult for criminals to crack the program and report a false location, thereby improving the security of the transportation process.

[0081] Step S6: The acceleration sensing module, the gyroscope sensing module and the position information acquisition module are used to respectively collect the vertical acceleration value a, the rotational angular velocity value b and the real-time coordinate position (x, y) of the smart security box during transportation;

[0082] Step S7: Receive the monitoring data in real time, and analyze the status of the smart security box in the transportation phase based on the data through the security verification and analysis module. If the analysis determines that the smart security box is in an abnormal state, an electrical signal is triggered to the dynamic password output module. If the analysis determines that the smart security box is in a normal state, the current step ends and steps S5-S7 are repeated.

[0083] Step S8: After the dynamic password output module responds to the electrical signal, it outputs the dynamic password to the transport personnel for security verification.

[0084] In step S4, the method of dividing the determined transportation route into monitoring modes further includes:

[0085] Step S41: Retrieve all historical routes from the historical transport task database that overlap with the determined transport route and mark them; this ensures that any location on the marked transport route belongs to the currently determined transport route, providing accurate data support for subsequent retrieval of historical data and analysis and calculation;

[0086] Step S42: Retrieve the data collected by monitoring corresponding to any position (x, y) on the marked transport route, including the acceleration value in the vertical direction , angular velocity value ,in Because any location on the determined transportation route has several data collection records during transportation, by collecting all the collection records, it provides strong data support for subsequent analysis and calculation;

[0087] Step S43: By formula And the formula Calculate the average acceleration value of all monitoring and collection records corresponding to any position (x, y) on the marked transportation route and the average angular velocity of rotation The historical average monitoring value of each location on the determined transport route is calculated through the summation and averaging formula, thereby increasing the fault tolerance rate and reducing the impact of individual operations on monitoring data on certain sections of the road, providing effective data support for the subsequent division of route monitoring modes.

[0088] Step S44: Setting the system default value and , calculate and calculate any position (x, y) on the marked transport route and and and Conduct comparative analysis and then determine the division of transport route monitoring modes.

[0089] Step S44 further includes:

[0090] Step S441: When the average acceleration value of all monitoring and collection records corresponding to any position (x, y) and the average angular velocity of rotation Satisfy at the same time and When the position is recorded, the adjacent positions under the minimum distance unit are compared and analyzed to see whether they meet the requirements of and If the condition is met, record the result; repeat step S441 to generate a location set that meets the condition;

[0091] Step S442: When there is at least one location in the qualified location set that is adjacent to each other for 100 consecutive minimum distance units, the section of the transportation route formed by the consecutive adjacent locations in the location set is divided into an abnormality sensing and analysis section. After all sections of the abnormality sensing and analysis section are divided, the remaining sections of the transportation route are divided into key monitoring and analysis sections.

[0092] Through the above steps, the average acceleration value of all monitoring and collection records on the transportation route can be determined and the average angular velocity of rotation Compare with the system preset standard value. and When both are less than the system's preset standard value, it means that the transportation process to the corresponding location on the road section is smooth and without sharp turns. The same setting of 100 consecutive minimum distance units can effectively ensure that the length of the smooth and sharp-turn-free section during transportation reaches a certain threshold, thereby reducing excessive division of transportation routes, reducing unnecessary switching for subsequent processing and analysis, and reserving reasonable calculation fault tolerance, thereby maximizing the accuracy of subsequent safety verification analysis.

[0093] Step S7 further includes:

[0094] Step S71: Create a data sorting table, and sort the real-time monitoring and collected data into categories according to the data sorting table;

[0095] Step S72: transmitting the data associated with the key monitoring and analysis sections that have been classified and sorted to the data processing channel 1, and performing data analysis on the route-related data of the key monitoring and analysis sections using the data processing channel 1;

[0096] Step S73: The data associated with the abnormal sensing analysis section that has been classified and sorted is transmitted to the data processing channel 2. In the data processing channel 2, the vertical acceleration value a, the rotation angular velocity value b of the smart security box under real-time monitoring and the preset standard value of the setting system are calculated. and contrast;

[0097] Step S74: In the data processing channel 2, when the comparison exists or When the comparison and judgment module outputs the judgment result that the intelligent security box is in an abnormal state.

[0098] Step S72 further includes:

[0099] Step S721: In the first data processing channel, the spatial line graph is created by mapping the starting coordinates and the minimum distance unit of each position point to the X-axis, the vertical acceleration value a to the Y-axis, and the rotational angular velocity value b to the Z-axis.

[0100] Step S722: Mark the Y-axis coordinates and Z-axis coordinates corresponding to the sorted acceleration values ​​a and rotational angular velocity values ​​b of each unit coordinate position, and then connect them to construct a monitoring data space broken line model;

[0101] Step S723: Further quickly retrieve the unit coordinate position and its associated average acceleration value that are the same as the spatial line graph in the historical transportation task database and the average angular velocity of rotation , and then in the spatial line graph, the acceleration value corresponding to each unit coordinate position and the angular velocity of rotation The corresponding Y-axis coordinates and Z-axis coordinates are punctuated, and then connected to build a historical big data spatial polyline model;

[0102] Step S724: perform similarity matching on the monitoring data space broken line model and the historical big data space broken line model. When the similarity matching value does not reach U%, the comparison and judgment module outputs the judgment result that the intelligent security box is in an abnormal state. The similarity matching method is as follows: perform J% blurring on each broken line point of the monitoring data space broken line model and the historical big data space broken line model, and regard the overlapping broken line points after blurring as the same broken line point. Then, translate the monitoring data space broken line model onto the historical big data space broken line model to maximize overlap. The overlapping volume of the overlapping model is calculated as a percentage of the total volume of the historical big data space broken line model and output as a similarity value U%;

[0103] Through the above steps, it can be obtained that the road sections in the key monitoring and analysis part are non-flat straight sections such as bumps or turns. After the non-flat straight sections are divided and screened out through the route monitoring mode division module, targeted comprehensive monitoring, analysis and judgment can be carried out, so that the vertical acceleration, rotational angular velocity, etc. of the smart security box monitored in real time during transportation are roughly the same as the values ​​in the historical database at the same position, and the continuous data trend is also roughly the same, so that effective data processing can be concentrated on non-flat straight sections such as bumps or turns, and the system is added to analyze the status of the smart security box, so as to achieve the function of remote control management based on the dynamic password output mechanism controlled by the status analysis results, and achieve the effect of precise control verification mechanism; and for the vast majority of sections in smooth straight driving during transportation, it is difficult to obtain effective status monitoring data, and then divide them into abnormal sensing analysis parts, and no need to perform In-depth and comprehensive monitoring and analysis reduces the system's computing power requirements while taking into account the ability to sense abnormal behaviors during transportation. If a traffic accident, theft, or other unexpected situations occurs during this period, abnormal monitoring data compared to historical data will be sensed, thereby achieving rapid monitoring capabilities; ultimately, when the analysis determines that there are abnormalities in the status of the smart security box during transportation, it can promptly trigger the generation of a dynamic password so that the transportation personnel can cooperate with relevant security verification and identity authentication to eliminate possible abnormal risk suspicions, thereby greatly improving the security of task execution; and when the analysis determines that there are no abnormalities in the status during transportation, the generation of a dynamic password will not be triggered or verification will only be triggered according to a longer period preset by the system, so as to balance the strictness of security verification with the efficiency of the distribution process, and achieve precise control of the frequency of dynamic password generation and verification strategies, which can not only respond quickly at critical moments and effectively prevent potential threats, but also avoid unnecessary verification processes to ensure smooth cash distribution.

[0104] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0105] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An intelligent remote control system for an intelligent security box, characterized by: The intelligent remote control system of the intelligent security box includes a path planning module, a remote monitoring data acquisition module, a security verification analysis module and a dynamic password output module. The path planning module and the remote monitoring data acquisition module are both in communication connection with the security verification analysis module, and the security verification analysis module is in communication connection with the dynamic password output module; wherein, The path planning module is used to plan the transportation route of the smart security box during the transportation phase; based on the output of the determined transportation route, the monitoring mode is divided into a key monitoring and analysis part and an abnormal sensing and analysis part; Methods for classifying monitoring modes for identified transport routes include: Step S41: Retrieve all historical routes from the historical transport task database that overlap with the determined transport route and mark them; Step S42: Retrieve the data collected by monitoring corresponding to any position (x, y) on the marked transport route, including the acceleration value in the vertical direction , angular velocity value ,in ; Step S43: By formula And the formula Calculate the average acceleration value of all monitoring and collection records corresponding to any position (x, y) on the marked transportation route and the average angular velocity of rotation ; Step S44: Setting the system default value and , calculate and calculate any position (x, y) on the marked transport route and and and Conduct comparative analysis and then determine the division of transport route monitoring modes; The step S44 includes: Step S441: When the average acceleration value of all monitoring and collection records corresponding to any position (x, y) and the average angular velocity of rotation Satisfy at the same time and When the position is recorded, the adjacent positions under the minimum distance unit are compared and analyzed to see whether they meet the requirements of and If the condition is met, record the result; repeat step S441 to generate a location set that meets the condition; Step S442: When there is at least one location in the qualified location set that is adjacent to each other for 100 consecutive minimum distance units, the section of the transportation route formed by the consecutive adjacent locations in the location set is divided into an abnormality sensing and analysis section. After all sections of the abnormality sensing and analysis section are divided, the remaining sections of the transportation route are divided into key monitoring and analysis sections. The remote monitoring data acquisition module is suitable for collecting and monitoring the transportation status data of the smart security box during transportation; The security verification and analysis module is used to analyze the status of the smart security box during the transportation phase and make abnormal status judgments based on the data collected by the remote monitoring data collection module; The dynamic password output module is used to output the dynamic password according to the analysis result of the security verification analysis module.

2. The intelligent remote control system for the intelligent security box according to claim 1, characterized in that: The path planning module includes a transport task acquisition module, a route database matching module and a route monitoring mode division module, and the route database matching module is respectively connected to the transport task acquisition module and the route monitoring mode division module; wherein, The transport task acquisition module is used to access the relevant task system to obtain the transport starting point, end point and start time point corresponding to the smart security box; The route database matching module is used to build a historical transport task database, register and store the associated data of the starting point, end point and transport route of the historical transport tasks; The route monitoring mode division module is used to divide the route monitoring mode into a key monitoring analysis part and an abnormal sensing analysis part after matching the delivery route according to the route database matching module.

3. The intelligent remote control system for the intelligent security box according to claim 1, characterized in that: The remote monitoring data acquisition module includes an identity authentication and intercommunication module, an acceleration sensing module, a gyroscope sensing module and a position information acquisition module; wherein, The identity authentication intercommunication module is used to integrate dynamic password technology with the identity authentication system to perform double security verification; The acceleration sensing module is suitable for measuring the acceleration value of the smart security box in the vertical direction during the transportation stage; The gyroscope sensing module is suitable for measuring the rotational angular velocity value of the smart security box during the transportation stage; The position information acquisition module is used to collect the real-time coordinate position of the intelligent security box during the transportation stage.

4. The intelligent remote control system for the intelligent security box according to claim 2, characterized in that: The security verification and analysis module includes a data sorting module, a data processing channel 1, a data processing channel 2 and a comparison and judgment module; wherein, The data sorting module is used to classify and sort out the monitoring data to obtain relevant data; The data processing channel 1 is used to perform data analysis and processing on the route-related data of the key monitoring and analysis part; The second data processing channel is used to perform data analysis and processing on the route-related data of the abnormal sensing analysis part; The comparison and judgment module is used to compare and judge the processed data with the system preset standard value during the safety verification analysis process, and output the safety verification analysis results.

5. An intelligent remote control system for an intelligent security box according to any one of claims 1 to 4, characterized in that: The operating method of the intelligent remote control system of the intelligent security box comprises the following steps: Step S1: In response to receiving a command signal for transporting the intelligent security box, the transport task acquisition module is started and current transport information is acquired; wherein the transport information includes the transport starting point, the end point, and the start time of the transport; Step S2: Establish a historical transport task database, and store the historical transport information, transport routes, and the monitoring and collection information of the remote monitoring data collection module during the corresponding transport process in the historical transport task database; Step S3: At the same time, the starting point and end point information of the current transport are matched with the big data of the historical transport task database, and the transport route that is consistent with the starting point and end point of the current transport is output first. If there is no completely consistent starting point and end point, the transport route is output using the Internet navigation information; when there are two or more sets of transport routes that are consistent with the starting point and end point of the current transport, the default output is the transport route that is closest to the transport start time and the start time of the current transport task; Step S4: dividing the transport route determined by the output into monitoring modes, wherein the divided transport route includes a key monitoring and analysis part and an abnormality sensing and analysis part; Step S5: In response to receiving the signal to start entering the transportation phase, the identity authentication intercommunication module is activated to connect to the identity authentication system of the transport personnel, obtain the location of the transport personnel, and compare and double-verify the real-time coordinate position of the intelligent security box collected and monitored; Step S6: The acceleration sensing module, the gyroscope sensing module and the position information acquisition module are used to respectively collect the vertical acceleration value a, the rotational angular velocity value b and the real-time coordinate position (x, y) of the smart security box during transportation; Step S7: Receive the monitoring data in real time, and analyze the status of the smart security box in the transportation phase based on the data through the security verification and analysis module. If the analysis determines that the smart security box is in an abnormal state, an electrical signal is triggered to the dynamic password output module. If the analysis determines that the smart security box is in a normal state, the current step ends and steps S5-S7 are repeated. Step S8: After the dynamic password output module responds to the electrical signal, it outputs the dynamic password to the transport personnel for security verification.

6. The intelligent remote control system for the intelligent security box according to claim 5, characterized in that: The step S7 comprises: Step S71: Create a data sorting table, and sort the real-time monitoring and collected data into categories according to the data sorting table; Step S72: transmitting the data associated with the key monitoring and analysis sections that have been classified and sorted to the data processing channel 1, and performing data analysis on the route-related data of the key monitoring and analysis sections using the data processing channel 1; Step S73: The data associated with the abnormal sensing analysis section that has been classified and sorted is transmitted to the data processing channel 2. In the data processing channel 2, the vertical acceleration value a, the rotation angular velocity value b of the smart security box under real-time monitoring and the preset standard value of the setting system are calculated. and contrast; Step S74: In the data processing channel 2, when the comparison exists or When the comparison and judgment module outputs the judgment result that the intelligent security box is in an abnormal state.

7. The intelligent remote control system for the intelligent security box according to claim 6, characterized in that: The step S72 includes: Step S721: In the first data processing channel, the spatial line graph is created by mapping the starting coordinates and the minimum distance unit of each position point to the X-axis, the vertical acceleration value a to the Y-axis, and the rotational angular velocity value b to the Z-axis. Step S722: Mark the Y-axis coordinates and Z-axis coordinates corresponding to the sorted acceleration values ​​a and rotational angular velocity values ​​b of each unit coordinate position, and then connect them to construct a monitoring data space broken line model; Step S723: Further quickly retrieve the unit coordinate position and its associated average acceleration value that are the same as the spatial line graph in the historical transportation task database and the average angular velocity of rotation , and then in the spatial line graph, the acceleration value corresponding to each unit coordinate position and the angular velocity of rotation The corresponding Y-axis coordinates and Z-axis coordinates are punctuated, and then connected to build a historical big data spatial polyline model; Step S724: perform similarity matching between the monitoring data spatial broken line model and the historical big data spatial broken line model. When the similarity matching value does not reach U%, the comparison and judgment module outputs a judgment result that the smart security box is in an abnormal state.

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