CN112329688A - Intelligent risk management and control system for public places - Google Patents
Intelligent risk management and control system for public places Download PDFInfo
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Abstract
The invention discloses an intelligent risk management and control system for public occasions, which relates to the technical field of intelligent risk management and control and solves the technical problems that in the prior art, the management and control scheme of a camera cannot be detected, so that the regularity of the camera is strong, and the safety performance is reduced; the data of the cameras in the bank hall are analyzed through the equipment detection unit, the cameras in the bank are detected, the irradiation area of the cameras is adjusted at regular time, the regularity of the cameras is reduced, and the safety performance is improved.
Description
Technical Field
The invention relates to the technical field of intelligent risk management and control, in particular to an intelligent risk management and control system for public occasions.
Background
In the network big data era, how to rapidly and accurately call manpower to identify the risk factors becomes a difficult problem for related personnel. By carrying out hierarchical management and control and risk identification on risks, enterprises or governments pay attention to high-level risks, monitor whether control measures are implemented in place or not to receive a set effect, and provide effective control measures to control the risk occurrence probability to be at the lowest level, so that the risk management and control play a crucial role in various industries, particularly business handling halls such as banks and the like;
however, in the prior art, the cameras cannot be connected in a communication manner through intelligent plug-in downloading, and the cameras cannot be improved into intelligent cameras, and meanwhile, the management and control scheme of the cameras cannot be detected, so that the regularity of the cameras is high, and the safety performance is reduced.
Disclosure of Invention
The invention aims to provide an intelligent risk management and control system for public places, which is characterized in that risk evaluation is carried out on a bank hall through a risk evaluation unit, a camera is improved into an intelligent camera, meanwhile, a private network is arranged for the camera, important data loss caused by network blockage is prevented, meanwhile, the intelligence of the camera is improved through loading a functional plug-in, the cost is reduced, and the working efficiency is improved; the data of the cameras in the bank hall are analyzed through the equipment detection unit, the cameras in the bank are detected, the irradiation area of the cameras is adjusted at regular time, the regularity of the cameras is reduced, and the safety performance is improved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent risk management and control system for public occasions comprises an equipment detection unit, an employee detection unit, an environment monitoring unit, a cloud management and control platform, a registration unit and a database;
the risk assessment unit is used for performing risk assessment on the bank hall, and the specific risk assessment process is as follows:
dividing a bank hall into a plurality of rectangular areas with the same area, and marking the rectangular areas as i, i is 1, 2, a. Acquiring the ratio of the total number of the started cameras in each rectangular area to the total number of the cameras in the area and marking the ratio as Bi, acquiring images of each area in real time through the cameras and marking the images as area images, comparing pixels and gray values of the area images, acquiring the area of the pixels in the area images, which are lower than a pixel threshold value, and the area of the gray values in the area images, which are lower than a gray value threshold value, and respectively marking the area as Xi and Hi;
step two, acquiring a regional equipment risk coefficient Ai through a formula Ai of Bi x v1+ Xi x v2+ Hi x v3, wherein v1, v2 and v3 are all preset proportionality coefficients, then marking a region with the equipment risk coefficient lower than a risk coefficient threshold value as an equipment risk region, sending a number corresponding to the risk region to an interphone terminal of security personnel, and adjusting a camera of the risk region after the security personnel receive the number;
thirdly, when an equipment risk area does not exist in the rectangular area, establishing a dedicated local area network through optical fibers of a bank, collecting communication websites of all cameras to a background server, connecting the cameras in a communication mode through the dedicated local area network, setting the background server as single terminal equipment, establishing a single optical fiber website through the background server, and separating a camera network from a bank office network;
step four, loading a functional plug-in to a background server, and improving a camera into a functional camera, wherein the functional plug-in is a smoking identification plug-in and a control cutter identification plug-in, and the functional camera is a camera with a smoking identification function and a control cutter identification function;
identifying and analyzing each area through a functional camera, if a customer carries a control tool, marking the customer as a dangerous customer, acquiring a facial image of the dangerous customer, uploading the facial image to a public security official network for photo comparison, and if the dangerous customer has a foretell record, generating an alarm signal and sending the alarm signal to a public security bureau closest to a bank; if the dangerous customer has no front record, generating an early warning signal and sending the early warning signal to an interphone terminal of a security worker, and the security worker receives the early warning signal to expel the dangerous customer and not receive a control tool.
Further, the registration login unit is used for counter personnel and security personnel to submit counter personnel information and security personnel information through mobile phone terminals for registration, the successfully registered counter personnel information and security personnel information are sent to the database for storage, the counter personnel information comprises names, work numbers, time of entry and mobile phone numbers of real name authentication of the counter personnel, and the security personnel comprise names, work numbers, time of entry and frequency of the interphone.
Further, the equipment detecting unit analyzes the data of the cameras in the bank hall, so as to detect the cameras, the data of the cameras are the total number of the cameras in the bank hall, the movable angles of the cameras and the coverage area of the cameras, and the specific analysis and detection process is as follows:
step S1: acquiring the total number of cameras in a bank hall, and marking the total number of the cameras in the bank hall as ZS;
step S2: acquiring the activity angle of a camera in a bank hall, and marking the activity angle of the camera in the bank hall as HD;
step S3: acquiring the coverage area of a camera in a bank hall, and marking the coverage area of the camera in the bank hall as FG;
step S4: by the formula
Acquiring a device detection coefficient SB in a bank lobby, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than 0;
step S5: comparing the detection coefficient SB in the bank hall with a detection coefficient threshold:
if the equipment detection coefficient SB in the bank hall is larger than or equal to the equipment detection coefficient threshold value, judging that the state of the cameras in the bank is normal, generating a normal state signal and sending the normal state signal to the cloud management and control platform, setting adjustment time t after the cloud management and control platform receives the normal state signal, and adjusting the rectangular area irradiated by each camera by the cloud management and control platform after the time t;
and if the equipment detection coefficient SB in the bank hall is less than the equipment detection coefficient threshold value, judging that the state of the camera in the bank is abnormal, generating a state abnormal signal and sending the state abnormal signal to the cloud management and control platform, and after receiving the state abnormal signal, the cloud management and control platform generates a camera rectification signal and sends the camera rectification signal to an interphone terminal of security personnel.
Further, the staff detection unit is used for analyzing work data of counter staff so as to detect the counter staff, the work data of the counter staff are duration data, speed data and decibel data, the duration data is sum of reaction duration of the counter staff responding to customer problems and communication duration of the counter staff and the customers, the speed data is ratio of speaking speed of the counter staff to business handling speed, the decibel data is difference value of normal speaking decibel value of the counter staff and speaking decibel value of the counter staff during business handling, the counter staff is marked as o, o is 1, 2, and.
Step SS 1: acquiring the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer, and marking the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer as So;
step SS 2: acquiring the ratio of the speaking speed of the counter personnel to the service handling speed, and marking the ratio of the speaking speed of the counter personnel to the service handling speed as Vo;
step SS 3: acquiring a difference value between a normal speaking decibel value of a counter person and a speaking decibel value of the counter person during service handling, and marking the difference value between the normal speaking decibel value of the counter person and the speaking decibel value of the counter person during service handling as Bo;
step SS 4: by the formula
Acquiring a detection coefficient Xo of counter personnel, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is greater than a2 and a3 is greater than 0;
step SS 5: comparing the detection coefficient Xo of the counter personnel with a counter personnel detection coefficient threshold value:
if the detection coefficient Xo of the counter personnel is larger than or equal to the counter personnel detection coefficient threshold, judging that the counter personnel meets the requirements, generating a qualified signal and sending the qualified signal and the job number of the corresponding counter personnel to the cloud management and control platform;
if the detection coefficient Xo of the counter personnel is smaller than the counter personnel detection coefficient threshold value, the counter personnel is judged to be not in accordance with the requirements, unqualified signals are generated and sent to the cloud management and control platform together with the work number corresponding to the counter personnel, the cloud management and control platform marks the counter personnel as the branch personnel and generates warning signals, and then the warning signals are sent to mobile phone terminals of the counter personnel.
Further, the environment detection unit is configured to detect a service transaction channel, where a specific detection process is as follows:
step L1: acquiring the waiting number of people in a service handling channel and the number of rectangular areas occupied by the service handling channel, acquiring the average number of people in the rectangular areas by comparison, and marking the rectangular areas as areas to be monitored if the average number of people in the rectangular areas is higher than a number threshold;
step L2: monitoring an area to be monitored, acquiring the nearest distance between a customer handling a business and a waiting customer, marking the nearest distance as a safe distance, comparing the safe distance with a safe distance threshold, if the safe distance is smaller than the safe distance threshold, generating a distance early warning signal and sending the distance early warning signal to a mobile phone terminal of a counter person, and after receiving the distance early warning signal, the counter person reminds the waiting customer;
step L3: the method comprises the steps of obtaining the average time of business handling of a current customer, obtaining the predicted average waiting time of the customer through the total number of waiting persons, generating an overlong waiting time signal if the predicted waiting time is larger than k, sending the overlong waiting time signal to a cloud control platform, generating a channel adding signal after the cloud control platform receives the overlong waiting time signal, sending the channel adding signal to counter staff, marking the channel as an adding channel, and generating a normal waiting time signal and canceling the adding channel when the predicted waiting time is smaller than or equal to k.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, a risk evaluation unit is used for carrying out risk evaluation on a bank hall, the bank hall is divided into a plurality of rectangular areas with the same area, the ratio of the total number of cameras started in each rectangular area to the total number of the cameras in the area is obtained, the images of each area are obtained in real time through the cameras and are marked as area images, the area images are compared with gray values in pixel mode, when no equipment risk area exists in each rectangular area, an exclusive local area network is established through optical fibers of a bank, communication websites of all the cameras are collected to a background server, the cameras are in communication connection through the exclusive local area network, the background server is set to be single terminal equipment, a single optical fiber website is established through the background server, and a camera network is separated from a bank office network; loading a functional plug-in to a background server, improving a camera into a functional camera, identifying and analyzing each area through the functional camera, and marking a customer as a dangerous customer if the customer carries a control tool; a private network is arranged for the camera, so that important data loss caused by network blockage is prevented, and meanwhile, the intelligence of the camera is improved by loading a functional plug-in, the cost is reduced, and the working efficiency is improved;
2. in the invention, the data of the cameras in the bank hall are analyzed through the equipment detection unit, so that the cameras are detected, the total number of the cameras in the bank hall, the moving angle of the cameras in the bank hall and the coverage area of the cameras in the bank hall are obtained, the equipment detection coefficient SB in the bank hall is obtained through a formula, if the equipment detection coefficient SB in the bank hall is more than or equal to the equipment detection coefficient threshold value, the state of the cameras in the bank is judged to be normal, the cloud management and control platform sets adjustment time t, and after the time t passes, the cloud management and control platform adjusts the rectangular area irradiated by each camera; if the equipment detection coefficient SB in the bank hall is smaller than the equipment detection coefficient threshold value, judging that the state of the camera in the bank is abnormal, generating a camera rectification signal by the cloud control platform and sending the camera rectification signal to an interphone terminal of a security worker; the cameras in the bank are detected, the irradiation area of the cameras is adjusted at regular time, regularity of the cameras is reduced, and safety performance is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent risk management and control system for public use includes an equipment detection unit, an employee detection unit, an environment monitoring unit, a cloud management and control platform, a registration unit and a database;
the registration login unit is used for the counter personnel and the security personnel to submit counter personnel information and security personnel information through mobile phone terminals for registration, and sending the successfully registered counter personnel information and security personnel information to the database for storage, wherein the counter personnel information comprises the name, the work number, the time of entry and the mobile phone number of real name authentication of the counter personnel, and the security personnel comprises the name, the work number, the time of entry and the frequency of the interphone;
the risk assessment unit is used for performing risk assessment on the bank hall, and the specific risk assessment process is as follows:
dividing a bank hall into a plurality of rectangular areas with the same area, and marking the rectangular areas as i, i is 1, 2, a. Acquiring the ratio of the total number of the started cameras in each rectangular area to the total number of the cameras in the area and marking the ratio as Bi, acquiring images of each area in real time through the cameras and marking the images as area images, comparing pixels and gray values of the area images, acquiring the area of the pixels in the area images, which are lower than a pixel threshold value, and the area of the gray values in the area images, which are lower than a gray value threshold value, and respectively marking the area as Xi and Hi;
step two, acquiring a regional equipment risk coefficient Ai through a formula Ai of Bi x v1+ Xi x v2+ Hi x v3, wherein v1, v2 and v3 are all preset proportionality coefficients, then marking a region with the equipment risk coefficient lower than a risk coefficient threshold value as an equipment risk region, sending a number corresponding to the risk region to an interphone terminal of security personnel, and adjusting a camera of the risk region after the security personnel receive the number;
thirdly, when an equipment risk area does not exist in the rectangular area, establishing a dedicated local area network through optical fibers of a bank, collecting communication websites of all cameras to a background server, connecting the cameras in a communication mode through the dedicated local area network, setting the background server as single terminal equipment, establishing a single optical fiber website through the background server, and separating a camera network from a bank office network;
loading a functional plug-in to a background server, and improving a camera into a functional camera, wherein the functional plug-in is a smoking identification plug-in and a control cutter identification plug-in, the functional camera is a camera with a smoking identification function and a control cutter identification function, and the smoking identification function and the control cutter identification function are both in the prior art;
identifying and analyzing each area through a functional camera, if a customer carries a control tool, marking the customer as a dangerous customer, acquiring a facial image of the dangerous customer, uploading the facial image to a public security official network for photo comparison, and if the dangerous customer has a foretell record, generating an alarm signal and sending the alarm signal to a public security bureau closest to a bank; if the dangerous customer has no prior record, generating an early warning signal and sending the early warning signal to an interphone terminal of a security worker, and the security worker receives the early warning signal to expel the dangerous customer and not to receive a control tool;
the equipment detecting element carries out the analysis to the camera data in the bank hall to detect the camera, camera data are the area covered of the total number of cameras in the bank hall, the activity angle of camera and camera, and concrete analysis testing process is as follows:
step S1: acquiring the total number of cameras in a bank hall, and marking the total number of the cameras in the bank hall as ZS;
step S2: acquiring the activity angle of a camera in a bank hall, and marking the activity angle of the camera in the bank hall as HD;
step S3: acquiring the coverage area of a camera in a bank hall, and marking the coverage area of the camera in the bank hall as FG;
step S4: by the formula
Acquiring a device detection coefficient SB in a bank lobby, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than 0;
step S5: comparing the detection coefficient SB in the bank hall with a detection coefficient threshold:
if the equipment detection coefficient SB in the bank hall is larger than or equal to the equipment detection coefficient threshold value, judging that the state of the cameras in the bank is normal, generating a normal state signal and sending the normal state signal to the cloud management and control platform, setting adjustment time t after the cloud management and control platform receives the normal state signal, and adjusting the rectangular area irradiated by each camera by the cloud management and control platform after the time t;
if the equipment detection coefficient SB in the bank hall is smaller than the equipment detection coefficient threshold value, judging that the state of the camera in the bank is abnormal, generating a state abnormal signal and sending the state abnormal signal to the cloud management and control platform, and after receiving the state abnormal signal, the cloud management and control platform generates a camera rectification signal and sends the camera rectification signal to an interphone terminal of security personnel;
the staff detecting unit is used for analyzing the working data of the counter staff, so as to detect the counter staff, the working data of the counter staff are duration data, speed data and decibel data, the duration data is the sum of the reaction duration of the counter staff responding to the customer problems and the communication duration of the counter staff and the customer, the speed data is the ratio of the speaking speed of the counter staff to the business handling speed, the decibel data is the difference value of the normal speaking decibel value of the counter staff and the speaking decibel value of the counter staff during business handling, the counter staff is marked as o, o is 1, 2, the.
Step SS 1: acquiring the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer, and marking the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer as So;
step SS 2: acquiring the ratio of the speaking speed of the counter personnel to the service handling speed, and marking the ratio of the speaking speed of the counter personnel to the service handling speed as Vo;
step SS 3: acquiring a difference value between a normal speaking decibel value of a counter person and a speaking decibel value of the counter person during service handling, and marking the difference value between the normal speaking decibel value of the counter person and the speaking decibel value of the counter person during service handling as Bo;
step SS 4: by the formula
Acquiring a detection coefficient Xo of counter personnel, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is greater than a2 and a3 is greater than 0;
step SS 5: comparing the detection coefficient Xo of the counter personnel with a counter personnel detection coefficient threshold value:
if the detection coefficient Xo of the counter personnel is larger than or equal to the counter personnel detection coefficient threshold, judging that the counter personnel meets the requirements, generating a qualified signal and sending the qualified signal and the job number of the corresponding counter personnel to the cloud management and control platform;
if the detection coefficient Xo of the counter personnel is smaller than the counter personnel detection coefficient threshold value, judging that the counter personnel does not meet the requirements, generating an unqualified signal, sending the unqualified signal and the job number of the corresponding counter personnel to a cloud management and control platform, marking the counter personnel as branch personnel by the cloud management and control platform, generating a warning signal, and then sending the warning signal to a mobile phone terminal of the counter personnel;
the environment detection unit is used for detecting the service handling channel, and the specific detection process is as follows:
step L1: acquiring the waiting number of people in a service handling channel and the number of rectangular areas occupied by the service handling channel, acquiring the average number of people in the rectangular areas by comparison, and marking the rectangular areas as areas to be monitored if the average number of people in the rectangular areas is higher than a number threshold;
step L2: monitoring an area to be monitored, acquiring the nearest distance between a customer handling a business and a waiting customer, marking the nearest distance as a safe distance, comparing the safe distance with a safe distance threshold, if the safe distance is smaller than the safe distance threshold, generating a distance early warning signal and sending the distance early warning signal to a mobile phone terminal of a counter person, and after receiving the distance early warning signal, the counter person reminds the waiting customer;
step L3: acquiring the average time of transacting services of a current customer, acquiring the predicted average waiting time of the customer through the total number of waiting persons, if the predicted waiting time is more than k, generating an overlong waiting time signal, sending the overlong waiting time signal to a cloud control platform, generating a channel adding signal after the cloud control platform receives the overlong waiting time signal, sending the channel adding signal to counter staff, marking the channel as an adding channel, and when the predicted waiting time is less than or equal to k, generating a normal waiting time signal and canceling the adding channel;
the keyword retrieval unit is used for performing keyword retrieval on communication between counter personnel and customers, and the specific retrieval process is as follows:
p1: setting a character group through a mobile phone terminal, and sending the set character group to a database for storage, wherein the character group is a specific polite word or a specific polite short sentence consisting of Chinese characters;
p2: acquiring the audio frequency of counter personnel during working in real time, retrieving the audio frequency in real time, converting the audio frequency into words through a voice-to-text technology, marking the words as working words, and then retrieving the working words and character groups in a database;
p3: and if the character group exists in the working characters, judging that the work of the counter personnel meets the requirement, marking the counter personnel as qualified personnel, and otherwise, marking the counter personnel as unqualified personnel.
The working principle of the invention is as follows:
when the intelligent risk management and control system is in work, a bank hall is subjected to risk evaluation through a risk evaluation unit, the bank hall is divided into a plurality of rectangular areas with the same area, and the rectangular areas are marked as i, i is 1, 2, and. Acquiring the ratio of the total number of the started cameras in each rectangular area to the total number of the cameras in the area and marking the ratio as Bi, acquiring images of each area in real time through the cameras and marking the images as area images, comparing pixels and gray values of the area images, acquiring the area of the pixels in the area images, which are lower than a pixel threshold value, and the area of the gray values in the area images, which are lower than a gray value threshold value, and respectively marking the area as Xi and Hi; acquiring a regional equipment risk coefficient Ai through a formula, then marking a region with the equipment risk coefficient lower than a risk coefficient threshold as an equipment risk region, sending a number corresponding to the risk region to an interphone terminal of a security worker, and adjusting a camera of the risk region after the security worker receives the number; when no equipment risk area exists in the rectangular area, establishing a dedicated local area network through optical fibers of a bank, collecting communication websites of all cameras to a background server, connecting the cameras in a communication manner through the dedicated local area network, setting the background server as single terminal equipment, establishing a single optical fiber website through the background server, and separating the camera network from an office network of the bank; loading a functional plug-in to a background server, and improving a camera into a functional camera, wherein the functional plug-in is a smoking identification plug-in and a control cutter identification plug-in, and the functional camera is a camera with a smoking identification function and a control cutter identification function; and identifying and analyzing each area through the functional camera, and marking the customer as a dangerous customer if the customer carries a control tool.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An intelligent risk management and control system for public occasions is characterized by comprising an equipment detection unit, an employee detection unit, an environment monitoring unit, a cloud management and control platform, a registration login unit and a database;
the risk assessment unit is used for performing risk assessment on the bank hall, and the specific risk assessment process is as follows:
dividing a bank hall into a plurality of rectangular areas with the same area, and marking the rectangular areas as i, i is 1, 2, a. Acquiring the ratio of the total number of the started cameras in each rectangular area to the total number of the cameras in the area and marking the ratio as Bi, acquiring images of each area in real time through the cameras and marking the images as area images, comparing pixels and gray values of the area images, acquiring the area of the pixels in the area images, which are lower than a pixel threshold value, and the area of the gray values in the area images, which are lower than a gray value threshold value, and respectively marking the area as Xi and Hi;
step two, acquiring a regional equipment risk coefficient Ai through a formula Ai of Bi x v1+ Xi x v2+ Hi x v3, wherein v1, v2 and v3 are all preset proportionality coefficients, then marking a region with the equipment risk coefficient lower than a risk coefficient threshold value as an equipment risk region, sending a number corresponding to the risk region to an interphone terminal of security personnel, and adjusting a camera of the risk region after the security personnel receive the number;
thirdly, when an equipment risk area does not exist in the rectangular area, establishing a dedicated local area network through optical fibers of a bank, collecting communication websites of all cameras to a background server, connecting the cameras in a communication mode through the dedicated local area network, setting the background server as single terminal equipment, establishing a single optical fiber website through the background server, and separating a camera network from a bank office network;
step four, loading a functional plug-in to a background server, and improving a camera into a functional camera, wherein the functional plug-in is a smoking identification plug-in and a control cutter identification plug-in, and the functional camera is a camera with a smoking identification function and a control cutter identification function;
identifying and analyzing each area through a functional camera, if a customer carries a control tool, marking the customer as a dangerous customer, acquiring a facial image of the dangerous customer, uploading the facial image to a public security official network for photo comparison, and if the dangerous customer has a foretell record, generating an alarm signal and sending the alarm signal to a public security bureau closest to a bank; if the dangerous customer has no front record, generating an early warning signal and sending the early warning signal to an interphone terminal of a security worker, and the security worker receives the early warning signal to expel the dangerous customer and not receive a control tool.
2. The intelligent risk management and control system for public use according to claim 1, wherein the registration login unit is used for counter personnel and security personnel to submit counter personnel information and security personnel information through mobile phone terminals for registration, and send the counter personnel information and the security personnel information which are successfully registered to the database for storage, the counter personnel information comprises names, work numbers, time of entry and mobile phone numbers of real name authentication of the counter personnel, and the security personnel comprises names, work numbers, time of entry and frequency of interphone.
3. The intelligent risk management and control system for public places according to claim 1, wherein the device detection unit analyzes the data of the cameras in the bank hall so as to detect the cameras, the data of the cameras are the total number of the cameras in the bank hall, the moving angles of the cameras and the coverage area of the cameras, and the specific analysis and detection processes are as follows:
step S1: acquiring the total number of cameras in a bank hall, and marking the total number of the cameras in the bank hall as ZS;
step S2: acquiring the activity angle of a camera in a bank hall, and marking the activity angle of the camera in the bank hall as HD;
step S3: acquiring the coverage area of a camera in a bank hall, and marking the coverage area of the camera in the bank hall as FG;
step S4: by the formula
Acquiring a device detection coefficient SB in a bank lobby, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than 0;
step S5: comparing the detection coefficient SB in the bank hall with a detection coefficient threshold:
if the equipment detection coefficient SB in the bank hall is larger than or equal to the equipment detection coefficient threshold value, judging that the state of the cameras in the bank is normal, generating a normal state signal and sending the normal state signal to the cloud management and control platform, setting adjustment time t after the cloud management and control platform receives the normal state signal, and adjusting the rectangular area irradiated by each camera by the cloud management and control platform after the time t;
and if the equipment detection coefficient SB in the bank hall is less than the equipment detection coefficient threshold value, judging that the state of the camera in the bank is abnormal, generating a state abnormal signal and sending the state abnormal signal to the cloud management and control platform, and after receiving the state abnormal signal, the cloud management and control platform generates a camera rectification signal and sends the camera rectification signal to an interphone terminal of security personnel.
4. The intelligent risk management and control system for public places according to claim 1, wherein the staff detection unit is configured to analyze work data of counter staff so as to detect the counter staff, the work data of the counter staff are duration data, speed data and decibel data, the duration data is a sum of a reaction duration of the counter staff responding to a customer problem and a communication duration of the counter staff and the customer, the speed data is a ratio of a speaking speed of the counter staff to a handling speed of a business, the decibel data is a difference between a normal speaking decibel value of the counter staff and a speaking decibel value of the counter staff during the business handling, the counter staff is marked as o, o is 1, 2, the.
Step SS 1: acquiring the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer, and marking the sum of the reaction time of the counter personnel responding to the customer questions and the communication time of the counter personnel and the customer as So;
step SS 2: acquiring the ratio of the speaking speed of the counter personnel to the service handling speed, and marking the ratio of the speaking speed of the counter personnel to the service handling speed as Vo;
step SS 3: acquiring a difference value between a normal speaking decibel value of a counter person and a speaking decibel value of the counter person during service handling, and marking the difference value between the normal speaking decibel value of the counter person and the speaking decibel value of the counter person during service handling as Bo;
step SS 4: by the formula
Acquiring a detection coefficient Xo of counter personnel, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is greater than a2 and a3 is greater than 0;
step SS 5: comparing the detection coefficient Xo of the counter personnel with a counter personnel detection coefficient threshold value:
if the detection coefficient Xo of the counter personnel is larger than or equal to the counter personnel detection coefficient threshold, judging that the counter personnel meets the requirements, generating a qualified signal and sending the qualified signal and the job number of the corresponding counter personnel to the cloud management and control platform;
if the detection coefficient Xo of the counter personnel is smaller than the counter personnel detection coefficient threshold value, the counter personnel is judged to be not in accordance with the requirements, unqualified signals are generated and sent to the cloud management and control platform together with the work number corresponding to the counter personnel, the cloud management and control platform marks the counter personnel as the branch personnel and generates warning signals, and then the warning signals are sent to mobile phone terminals of the counter personnel.
5. The intelligent risk management and control system for public places according to claim 1, wherein the environment detection unit is configured to detect a service transaction channel, and the specific detection process is as follows:
step L1: acquiring the waiting number of people in a service handling channel and the number of rectangular areas occupied by the service handling channel, acquiring the average number of people in the rectangular areas by comparison, and marking the rectangular areas as areas to be monitored if the average number of people in the rectangular areas is higher than a number threshold;
step L2: monitoring an area to be monitored, acquiring the nearest distance between a customer handling a business and a waiting customer, marking the nearest distance as a safe distance, comparing the safe distance with a safe distance threshold, if the safe distance is smaller than the safe distance threshold, generating a distance early warning signal and sending the distance early warning signal to a mobile phone terminal of a counter person, and after receiving the distance early warning signal, the counter person reminds the waiting customer;
step L3: the method comprises the steps of obtaining the average time of business handling of a current customer, obtaining the predicted average waiting time of the customer through the total number of waiting persons, generating an overlong waiting time signal if the predicted waiting time is larger than k, sending the overlong waiting time signal to a cloud control platform, generating a channel adding signal after the cloud control platform receives the overlong waiting time signal, sending the channel adding signal to counter staff, marking the channel as an adding channel, and generating a normal waiting time signal and canceling the adding channel when the predicted waiting time is smaller than or equal to k.
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