Mobile bank and autonomous protection system

Abstract

The invention belongs to the field of mobile banks, relates to a protection analysis technology, is used for solving the problem that the security state of a mobile bank cannot be evaluated in the prior art, and particularly relates to a mobile bank and an autonomous protection system. The processor is in communication connection with a machine room monitoring module, a stability monitoring module, an optimization analysis module and a database; the machine room monitoring module is used for performing operation monitoring analysis on the equipment machine room in the kiosk body: marking the equipment machine room in the kiosk body as a monitoring object, generating a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, and obtaining an operation coefficient of the monitoring object at the end time of the monitoring time periods; according to the method, stability analysis can be carried out on the business handling area and the customer waiting area in the kiosk body, comprehensive analysis and calculation are carried out on the vibration amplitude values of all the analysis points to obtain the stability coefficient, the overall stability performance of the analysis objects is fed back according to the stability coefficient, and differentiation marking is carried out on the analysis objects with the abnormal stability performance.

Description

Technical Field

[0001] The invention belongs to the field of mobile banking, relates to a protection analysis technology, and specifically provides a mobile banking and autonomous protection system. Background Art

[0002] The core of bank security protection is to ensure the safety of banks and customers through a variety of measures, including physical security, personnel training and public education. Compared with traditional banks, mobile banking has higher requirements for physical security protection.

[0003] The invention patent with announcement number CN103745558B discloses a self-service bank security protection system, which can prevent illegal activities from happening without causing harm to people, and trigger the release of tear gas under the premise of a warning system. It is a relatively humane and win-win self-service bank protection system; however, the protection system cannot evaluate the security status of the mobile bank itself, resulting in the inability to effectively monitor and contain internal security risks, and the overall security cannot be guaranteed.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a mobile bank and an autonomous protection system, which is used to solve the problem that the existing technology cannot evaluate the security status of the mobile bank itself;

[0006] The technical problem to be solved by the present invention is: how to provide a mobile bank and an autonomous protection system that can evaluate the security status of the mobile bank itself.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An autonomous protection system includes a processor, wherein the processor is communicatively connected to a machine room monitoring module, a stability monitoring module, an optimization analysis module, and a database;

[0009] The machine room monitoring module is used to perform operation monitoring and analysis on the equipment room in the kiosk: mark the equipment room in the kiosk as a monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, and obtain the operation coefficient YX of the monitoring object at the end of the monitoring period; determine whether the operation stability of the monitoring object in the monitoring period meets the requirements through the operation coefficient YX;

[0010] The stability monitoring module is used to perform stability analysis on the business processing area and the customer waiting area in the kiosk: the business processing area and the customer waiting area in the kiosk are marked as analysis objects, and the stability coefficient WD of the analysis object in the monitoring period is obtained; the analysis object is marked as a normal object or an optimization object according to the stability coefficient WD;

[0011] The optimization analysis module is used to perform optimization analysis on the optimization object and mark the optimization measures of the optimization object, and send the optimization measures of all optimization objects to the mobile phone terminal of the manager through the processor.

[0012] Furthermore, the process of obtaining the operating coefficient YX of the monitored object during the monitoring period includes: setting a number of monitoring points inside the monitored object, obtaining the air temperature values ​​of all monitoring points in real time and summing and averaging them to obtain the temperature display value of the monitored object, and obtaining the temperature difference data WY, difference length data YC and variation data BY of the monitored object during the monitoring period through the temperature display value, and performing numerical calculations to obtain the operating coefficient YX.

[0013] Furthermore, the process of obtaining the temperature deviation data WY, the deviation length data YC and the variation data BY includes: obtaining the temperature display value of the monitored object in real time during the monitoring period, calling the temperature standard range of the monitored object, marking the average value of the maximum value and the minimum value of the temperature standard range as the temperature standard value, marking the absolute value of the difference between the temperature display value and the temperature standard value as the temperature deviation value of the monitored object, and marking the ratio of the maximum value of the temperature deviation value to the temperature standard value during the monitoring period as the temperature deviation data WY; marking the time period in which the temperature display value of the monitored object is outside the temperature standard range as a temperature deviation sub-period, marking the sum of the durations of all temperature deviation sub-periods during the monitoring period as the deviation length value of the monitored object, and marking the ratio of the deviation length value to the duration of the monitoring period as the deviation length data YC of the monitored object; marking the time points corresponding to the maximum value and the minimum value of the temperature display value of the monitored object during the monitoring period as high deviation time points and low deviation time points respectively, and marking the ratio of the time length between the high deviation time points and the low deviation time points to the duration of the monitoring period as the variation data BY of the monitored object.

[0014] Furthermore, the specific process of determining whether the operating stability of the monitored object during the monitoring period meets the requirements includes: retrieving the operating threshold value YXmax through the database, and comparing the operating coefficient YX of the monitored object during the monitoring period with the operating threshold value YXmax: if the operating coefficient YX is less than the operating threshold value YXmax, it is determined that the operating status of the monitored object during the monitoring period meets the requirements; if the operating coefficient YX is greater than or equal to the operating threshold value YXmax, it is determined that the operating status of the monitored object during the monitoring period does not meet the requirements, and a computer room abnormality signal is generated and sent to the mobile phone terminal of the administrator through the processor.

[0015] Furthermore, the process of obtaining the stability coefficient WD of the analysis object during the monitoring period includes: setting a number of analysis points on the bottom plate of the analysis object, obtaining the vibration amplitude values ​​of all analysis points in real time, summing and averaging the vibration amplitude values ​​of all analysis points in the analysis object to obtain the vibration performance value of the analysis object, marking the maximum value of the vibration performance value of the analysis object during the monitoring period as seismic height data ZG, obtaining the seismic height threshold ZGmax through the database, marking the time period in which the vibration performance value of the analysis object is not less than the seismic height threshold ZGmax as a seismic anomaly sub-period, marking the total duration of all seismic anomaly sub-periods in the monitoring period as seismic anomaly data ZY, and performing numerical calculations on the seismic height data ZG and the seismic anomaly data ZY to obtain the stability coefficient WD of the analysis object during the monitoring period.

[0016] Furthermore, the specific process of marking the analysis object as a normal object or an optimization object includes: obtaining the stability threshold WDmax through the database, and comparing the stability coefficient WD of the analysis object during the monitoring period with the stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period meets the requirements, and the corresponding analysis object is marked as a normal object; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period does not meet the requirements, and the corresponding analysis object is marked as an optimization object, an optimization analysis signal is generated, and the optimization analysis signal and the optimization object are sent to the optimization analysis module through the processor.

[0017] Furthermore, the specific process of the optimization analysis module performing optimization analysis on the optimization object includes: extracting the number of users in the optimization object in real time through monitoring video and marking it as the service value of the optimization object, obtaining the service threshold through the database, marking the time period in which the service value is not less than the service threshold as an overload sub-period, marking the total duration of the overlapping part of the earthquake sub-period and the overload sub-period as the overlap value, marking the ratio of the overlap value to the earthquake data ZY as the overlap coefficient, obtaining the overlap threshold through the database, and comparing the overlap coefficient with the overlap threshold: if the overlap coefficient is less than the overlap threshold, the optimization measure of the corresponding optimization object is marked as structural optimization; if the overlap coefficient is greater than or equal to the overlap threshold, the optimization measure of the corresponding optimization object is marked as crowd restriction.

[0018] A mobile bank comprises a kiosk body, wherein the kiosk body comprises four sub-areas, namely, a business handling area, a customer waiting area, an equipment room and a linkage door buffer room, and a mains socket, a UPS socket and a dual network port socket are installed on the wall of each sub-area.

[0019] The present invention has the following beneficial effects:

[0020] 1. The computer room monitoring module can be used to monitor and analyze the operation of the equipment room in the hall, collect and calculate multiple temperature parameters in the equipment room to obtain the operation coefficient, analyze and evaluate the heating status of the equipment in the equipment room according to the operation coefficient, and then issue a warning in time when the equipment is abnormally heated, thereby improving the safety protection performance of the equipment room;

[0021] 2. The stability monitoring module can be used to conduct stability analysis on the business handling area and customer waiting area in the kiosk, and the vibration amplitude values ​​of all analysis points can be comprehensively analyzed and calculated to obtain the stability coefficient. According to the stability coefficient, the overall stability performance of the analysis object can be fed back, and the analysis objects with abnormal stability performance can be differentiated and marked, providing data support for optimization analysis;

[0022] 3. The optimization analysis module can be used to optimize and analyze the optimization object. The overload sub-period and the earthquake sub-period are overlapped and compared to obtain the overlap coefficient. The optimization measures of the optimization object are marked according to the overlap coefficient to improve the efficiency of stability improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0025] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] A mobile bank includes a movable kiosk, which includes four sub-areas: a business processing area, a customer waiting area, an equipment room, and a linkage door buffer room. The equipment room is equipped with a dual-circuit power distribution system, which is divided into two power boxes for mains power and UPS. Mains power sockets, UPS sockets, and dual network port sockets are installed on the walls of each sub-area. A total of 8-channel Category 6 network cables and two 0.75 power cables are laid at the four corners outside the kiosk to reserve lines for video surveillance. Category 6 network cables and two 0.75 power cables are also laid at the opposite corners of each sub-area inside the kiosk to reserve lines for video surveillance.

[0028] Embodiment 1: Figure 1 As shown, an autonomous protection system applied to mobile banking includes a processor, and the processor is communicatively connected with a machine room monitoring module, a stability monitoring module, an optimization analysis module and a database.

[0029] The machine room monitoring module is used to monitor and analyze the operation of the equipment room in the pavilion: mark the equipment room in the pavilion as the monitoring object, set several monitoring points inside the monitoring object, obtain the air temperature values ​​of all monitoring points in real time and sum and average them to get the temperature display value of the monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the temperature display value of the monitoring object in real time during the monitoring period, call the temperature standard range of the monitoring object, mark the average value of the maximum and minimum values ​​of the temperature standard range as the temperature standard value, mark the absolute value of the difference between the temperature display value and the temperature standard value as the temperature deviation value of the monitoring object, and record the temperature deviation value in the monitoring period. The ratio of the maximum value to the temperature standard value within the time period is marked as temperature deviation data WY; the time period in which the temperature display value of the monitored object is outside the temperature standard range is marked as a temperature deviation sub-period, the sum of the duration of all temperature deviation sub-periods within the monitoring period is marked as the deviation length value of the monitored object, and the ratio of the deviation length value to the duration of the monitoring period is marked as the deviation length data YC of the monitored object; the time points corresponding to the maximum and minimum values ​​of the temperature display value of the monitored object within the monitoring period are marked as high deviation time points and low deviation time points respectively, and the ratio of the time length between the high deviation time points and the low deviation time points to the duration of the monitoring period is marked as the variation data BY of the monitored object; through the formula The operating coefficient YX of the monitored object during the monitoring period is obtained, wherein w1, w2 and w3 are all proportional coefficients, and w1>w2>w3>1; the operating threshold YXmax is retrieved through the database, and the operating coefficient YX of the monitored object during the monitoring period is compared with the operating threshold YXmax: if the operating coefficient YX is less than the operating threshold YXmax, it is determined that the operating status of the monitored object during the monitoring period meets the requirements; if the operating coefficient YX is greater than or equal to the operating threshold YXmax, it is determined that the operating status of the monitored object during the monitoring period does not meet the requirements, and an abnormal signal of the computer room is generated and sent to the mobile phone terminal of the administrator through the processor; multiple temperature parameters in the equipment room are collected and calculated to obtain the operating coefficient, and the heating status of the equipment in the equipment room is analyzed and evaluated according to the operating coefficient, so as to give a timely warning when the equipment heats abnormally, thereby improving the safety protection performance of the equipment room.

[0030] The stability monitoring module is used to perform stability analysis on the business processing area and customer waiting area in the kiosk: mark the business processing area and customer waiting area in the kiosk as analysis objects, set a number of analysis points on the bottom plate of the analysis object, obtain the vibration amplitude values ​​of all analysis points in real time, sum and average the vibration amplitude values ​​of all analysis points in the analysis object to obtain the vibration performance value of the analysis object, mark the maximum value of the vibration performance value of the analysis object within the monitoring period as the earthquake height data ZG, obtain the earthquake height threshold ZGmax through the database, mark the time period in which the vibration performance value of the analysis object is not less than the earthquake height threshold ZGmax as the earthquake abnormal sub-period, mark the total duration of all earthquake abnormal sub-periods within the monitoring period as the earthquake abnormal data ZY, and obtain the stability coefficient WD of the analysis object within the monitoring period through the formula WD=k1*ZG+k2*ZY, where k1 and k2 are both proportional coefficients, and k1>k2>1 ; The stability threshold WDmax is obtained through the database, and the stability coefficient WD of the analysis object during the monitoring period is compared with the stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period meets the requirements; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period does not meet the requirements, and the corresponding analysis object is marked as an optimization object, an optimization analysis signal is generated, and the optimization analysis signal and the optimization object are sent to the optimization analysis module through the processor; a stability analysis is performed on the business processing area and the customer waiting area in the kiosk, and the vibration amplitude values ​​of all analysis points are comprehensively analyzed and calculated to obtain the stability coefficient, and the overall stability performance of the analysis object is fed back according to the stability coefficient, and the analysis objects with abnormal stability performance are differentially marked to provide data support for optimization analysis.

[0031] The optimization analysis module is used to perform optimization analysis on the optimization object: the number of users in the optimization object is extracted in real time through monitoring video and marked as the service value of the optimization object, the service threshold is obtained through the database, the time period with a service value not less than the service threshold is marked as an overload sub-period, the total duration of the overlapping part of the earthquake sub-period and the overload sub-period is marked as the overlap value, the ratio of the overlap value to the earthquake data ZY is marked as the overlap coefficient, the overlap threshold is obtained through the database, and the overlap coefficient is compared with the overlap threshold: if the overlap coefficient is less than the overlap threshold, the optimization measure of the corresponding optimization object is marked as structural optimization; if the overlap coefficient is greater than or equal to the overlap threshold, the optimization measure of the corresponding optimization object is marked as crowd restriction; the optimization measures of all optimization objects are sent to the mobile phone terminal of the manager through the processor; the overlap comparison analysis of the overload sub-period and the earthquake sub-period is performed to obtain the overlap coefficient, and the optimization measures of the optimization object are marked according to the overlap coefficient to improve stability and efficiency.

[0032] Embodiment 2: Figure 2 As shown, an autonomous protection method applied to mobile banking includes the following steps:

[0033] Step 1: Conduct operation monitoring and analysis on the equipment room in the kiosk: mark the equipment room in the kiosk as the monitoring object, generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, and determine whether the operating status of the monitoring object meets the requirements by using the operating coefficient YX of the monitoring object in the monitoring period;

[0034] Step 2: Conduct stability analysis on the business processing area and customer waiting area in the kiosk: Mark the business processing area and customer waiting area in the kiosk as analysis objects, obtain the stability coefficient WD of the analysis object during the monitoring period, and determine whether the operation stability of the analysis object meets the requirements based on the stability coefficient WD;

[0035] Step 3: Optimize and analyze the optimization object: compare the overload sub-period with the earthquake sub-period and obtain the overlap coefficient, and mark the optimization measures of the optimization object through the overlap coefficient.

[0036] A mobile bank and autonomous protection system, when working, marks an equipment room in a kiosk as a monitoring object, generates a monitoring cycle and divides the monitoring cycle into a plurality of monitoring time periods, and determines whether the operating state of the monitoring object meets the requirements by using the operating coefficient YX of the monitoring object in the monitoring time period; marks a business handling area and a customer waiting area in the kiosk as analysis objects, obtains a stability coefficient WD of the analysis object in the monitoring cycle, and determines whether the operating stability of the analysis object meets the requirements by using the stability coefficient WD; compares an overload sub-time period with an earthquake sub-time period and obtains a coincidence coefficient, and marks optimization measures of the optimization object by using the coincidence coefficient.

[0037] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0038] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of sample data and sets a corresponding operating coefficient for each group of sample data; substitutes the set operating coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of w1, w2 and w3, which are 3.18, 2.63 and 2.25 respectively;

[0039] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the operating coefficient is proportional to the value of the temperature difference data.

[0040] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0041] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An autonomous protection system, characterized in that: It includes a processor, the processor is communicatively connected with a machine room monitoring module, a stability monitoring module, an optimization analysis module and a database; The machine room monitoring module is used to perform operation monitoring and analysis on the equipment room in the kiosk: marking the equipment room in the kiosk as a monitoring object, generating a monitoring cycle and dividing the monitoring cycle into several monitoring periods, and obtaining the operation coefficient YX of the monitoring object at the end of the monitoring period; The operation coefficient YX is used to determine whether the operation stability of the monitored object during the monitoring period meets the requirements; The stability monitoring module is used to perform stability analysis on the business processing area and the customer waiting area in the kiosk: the business processing area and the customer waiting area in the kiosk are marked as analysis objects, and the stability coefficient WD of the analysis object in the monitoring period is obtained; the analysis object is marked as a normal object or an optimization object according to the stability coefficient WD; The optimization analysis module is used to perform optimization analysis on the optimization object and mark the optimization measures of the optimization object, and send the optimization measures of all optimization objects to the mobile phone terminal of the manager through the processor.

2. An autonomous protection system according to claim 1, characterized in that: The process of obtaining the operating coefficient YX of the monitored object during the monitoring period includes: setting a number of monitoring points inside the monitored object, obtaining the air temperature values ​​of all monitoring points in real time and summing and averaging them to obtain the temperature display value of the monitored object, and obtaining the temperature difference data WY, difference length data YC and variation data BY of the monitored object during the monitoring period through the temperature display value, and performing numerical calculations to obtain the operating coefficient YX.

3. An autonomous protection system according to claim 2, characterized in that: The acquisition process of temperature deviation data WY, deviation length data YC and variation data BY includes: obtaining the temperature display value of the monitored object in real time during the monitoring period, calling the temperature standard range of the monitored object, marking the average value of the maximum value and the minimum value of the temperature standard range as the temperature standard value, marking the absolute value of the difference between the temperature display value and the temperature standard value as the temperature deviation value of the monitored object, and marking the ratio of the maximum value of the temperature deviation value to the temperature standard value during the monitoring period as the temperature deviation data WY; marking the time period when the temperature display value of the monitored object is outside the temperature standard range as a temperature deviation sub-period, marking the sum of the duration of all temperature deviation sub-periods during the monitoring period as the deviation length value of the monitored object, and marking the ratio of the deviation length value to the duration of the monitoring period as the deviation length data YC of the monitored object; marking the time points corresponding to the maximum value and the minimum value of the temperature display value of the monitored object during the monitoring period as high deviation time points and low deviation time points respectively, and marking the ratio of the time length between the high deviation time point and the low deviation time point to the duration of the monitoring period as the variation data BY of the monitored object.

4. An autonomous protection system according to claim 3, characterized in that: The specific process of determining whether the operating stability of the monitored object during the monitoring period meets the requirements includes: retrieving the operating threshold value YXmax through the database, and comparing the operating coefficient YX of the monitored object during the monitoring period with the operating threshold value YXmax: if the operating coefficient YX is less than the operating threshold value YXmax, it is determined that the operating status of the monitored object during the monitoring period meets the requirements; if the operating coefficient YX is greater than or equal to the operating threshold value YXmax, it is determined that the operating status of the monitored object during the monitoring period does not meet the requirements, and an abnormal signal of the computer room is generated and sent to the mobile phone terminal of the administrator through the processor.

5. An autonomous protection system according to claim 4, characterized in that: The process of obtaining the stability coefficient WD of the analysis object during the monitoring period includes: setting a number of analysis points on the bottom plate of the analysis object, obtaining the vibration amplitude values ​​of all analysis points in real time, summing and averaging the vibration amplitude values ​​of all analysis points in the analysis object to obtain the vibration performance value of the analysis object, marking the maximum value of the vibration performance value of the analysis object during the monitoring period as the earthquake height data ZG, obtaining the earthquake height threshold ZGmax through the database, marking the time period in which the vibration performance value of the analysis object is not less than the earthquake height threshold ZGmax as the earthquake anomaly sub-period, marking the total duration of all earthquake anomaly sub-periods in the monitoring period as the earthquake anomaly data ZY, and performing numerical calculations on the earthquake height data ZG and the earthquake anomaly data ZY to obtain the stability coefficient WD of the analysis object during the monitoring period.

6. An autonomous protection system according to claim 5, characterized in that: The specific process of marking the analysis object as a normal object or an optimization object includes: obtaining the stability threshold WDmax through the database, comparing the stability coefficient WD of the analysis object during the monitoring period with the stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period meets the requirements, and the corresponding analysis object is marked as a normal object; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the operation stability of the analysis object during the monitoring period does not meet the requirements, and the corresponding analysis object is marked as an optimization object, generating an optimization analysis signal, and sending the optimization analysis signal and the optimization object to the optimization analysis module through the processor.

7. An autonomous protection system according to claim 6, characterized in that: The specific process of the optimization analysis module performing optimization analysis on the optimization object includes: extracting the number of users in the optimization object in real time through monitoring video and marking it as the service value of the optimization object, obtaining the service threshold through the database, marking the time period with a service value not less than the service threshold as an overload sub-period, marking the total duration of the overlapping part of the earthquake sub-period and the overload sub-period as the overlap value, marking the ratio of the overlap value to the earthquake data ZY as the overlap coefficient, obtaining the overlap threshold through the database, and comparing the overlap coefficient with the overlap threshold: if the overlap coefficient is less than the overlap threshold, the optimization measure of the corresponding optimization object is marked as structural optimization; if the overlap coefficient is greater than or equal to the overlap threshold, the optimization measure of the corresponding optimization object is marked as crowd flow restriction.

8. A mobile bank, characterized in that: It includes a kiosk body, which includes four sub-areas: a business processing area, a customer waiting area, an equipment room, and a linkage door buffer room. A mains socket, a UPS socket, and a dual-network socket are installed on the wall of each sub-area.

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