Safety monitoring management system for smart park

Abstract

The invention relates to the technical field of park safety monitoring, in particular to a safety monitoring management system of a smart park, which comprises a safety management platform, a data storage unit, a monitoring evaluation unit, an information extraction unit, a response evaluation unit, an optimization regulation and control unit and an execution management unit. Analysis is carried out from the monitoring condition of the park monitoring equipment, on one hand, whether the monitoring state of the park monitoring equipment is normal or not is known, timely feedback management is facilitated, on the other hand, data support is provided for follow-up park monitoring management, and the monitoring efficiency is improved. And under the premise that the monitoring of the park monitoring equipment is normal, the influence condition of the park early warning equipment on the park safety is known, and the monitoring safety condition of the whole park is known through deep analysis in an information fusion mode, so that the park monitoring strategy is reasonably and specifically optimized and adjusted according to the information feedback condition, and the safety of the park is improved. Therefore, the safety and the management effect of the whole park are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of park security monitoring, and in particular to a security monitoring and management system for a smart park. Background Art

[0002] Smart parks emphasize the application of new generation information technologies such as the Internet of Things, cloud computing, and big data in park construction and management, as well as the creation of a production and living environment and an innovative ecosystem for a knowledge-based social innovation environment. "Internet technology" is a network technology that extends and expands on the basis of Internet technology; its user end extends and expands to any objects and objects for information exchange and communication;

[0003] Smart management is a new management model. Smart management refers to the process of giving full play to the ability of enterprises to use wisdom and systematically managing the wisdom resources of enterprises to achieve sustainable development of enterprises. However, in the existing smart park security monitoring process, it is impossible to analyze the monitoring status of the park monitoring equipment itself, resulting in the monitoring equipment itself affecting the park security monitoring, thereby reducing the park security and monitoring effect, and it is impossible to further optimize and adjust the security monitoring decision of the entire park, thereby reducing the management efficiency and security of the park.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a security monitoring and management system for a smart park to solve the technical defects mentioned above. The present invention analyzes from the perspective of the monitoring status of the park monitoring equipment itself. On the one hand, it helps to understand whether the monitoring status of the park monitoring equipment itself is normal, so as to provide timely feedback management. On the other hand, it helps to provide data support for subsequent park monitoring and management, and understand the impact of the park early warning equipment on the park safety under the premise that the park monitoring equipment itself monitors normally, and conducts in-depth analysis through information fusion to understand the monitoring safety situation of the entire park, so as to reasonably and targetedly optimize and adjust the park monitoring strategy according to the information feedback to improve the safety and management effect of the entire park.

[0006] The object of the present invention can be achieved by the following technical solutions: A security monitoring and management system for a smart park, comprising a security management platform, a data storage unit, a monitoring and evaluation unit, an information extraction unit, a response evaluation unit, an optimization and control unit, and an execution management unit;

[0007] The security management platform is connected to the data storage unit, and is used to analyze the park security monitoring, generate operation management instructions, and send the operation management instructions to the data storage unit;

[0008] The data storage unit is in one-way communication connection with the monitoring and evaluation unit, and is used to respond to the operation management instruction, collect the basic monitoring data and send it to the monitoring and evaluation unit;

[0009] The monitoring and evaluation unit is used to perform monitoring risk feedback evaluation and analysis on the monitoring basic data to obtain a monitoring and evaluation coefficient curve, and send the monitoring and evaluation coefficient curve to the information extraction unit;

[0010] The information extraction unit is used to perform in-depth safety monitoring processing and analysis on the measurement evaluation coefficient curve to obtain a real-time monitoring risk value and a safety interference value, and to generate a normal signal, an optimization signal and a risk signal using the real-time monitoring risk value and the safety interference value, and to send the normal signal to the response evaluation unit and the optimization control unit, and to send the risk signal and the optimization signal to the execution management unit;

[0011] The response evaluation unit is used to perform an obstacle management evaluation and analysis on the early warning risk data, generate a valid signal and an impact signal, send the valid signal to the optimization control unit, and send the impact signal to the execution management unit;

[0012] The optimization control unit is used to respond to the valid signal and the normal signal, and perform information fusion feedback matching analysis to obtain a low-level control signal and a high-level control signal, and send the low-level control signal and the high-level control signal to the execution management unit.

[0013] Preferably, the monitoring risk feedback assessment and analysis process of the monitoring and assessment unit is as follows:

[0014] S1: Set a monitoring period and mark it as a time threshold, and obtain the monitoring performance value of the park within the time threshold. The monitoring performance value represents the ratio of the image quality evaluation value of the display image of the monitoring device to the maximum monitoring angle after data normalization. The image quality evaluation value represents the ratio between the spot area on the display image and the display image area.

[0015] S2: Obtain the monitoring impact value of the park within the time threshold. The monitoring impact value represents the ratio of the actual transmission rate of the monitoring equipment information to the operating status coefficient of the monitoring equipment after data normalization. The operating status coefficient represents the ratio of the portion of the network frame drop rate exceeding the preset threshold to the average duration of the screen switching freeze interval after data normalization. The monitoring performance value and the monitoring impact value are labeled JB and JY respectively.

[0016] S3: According to the formula The monitoring evaluation coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the monitoring performance value and the monitoring impact value, respectively. Both a1 and a2 are positive numbers greater than zero. a3 is the preset correction factor coefficient, which is 1.817. J is the monitoring evaluation coefficient. A rectangular coordinate system is established with time as the X-axis and the monitoring evaluation coefficient as the Y-axis to draw the monitoring evaluation coefficient curve.

[0017] Preferably, the in-depth security monitoring processing and analysis process of the information extraction unit is as follows:

[0018] The monitoring and evaluation coefficient curve of the park within the time threshold is obtained, and the preset monitoring and evaluation coefficient curve is drawn in the coordinate system at the same time, so as to obtain the time length corresponding to the line segment above the preset monitoring and evaluation coefficient curve, and the product value obtained after data normalization processing of the area enclosed by the upper line segment and the preset monitoring and evaluation coefficient curve, and mark it as the actual monitoring risk value, and compare and analyze the actual monitoring risk value with the preset actual monitoring risk value threshold value stored in the internal input:

[0019] If the actual monitoring risk value is less than the preset actual monitoring risk value threshold, a feedback signal is generated. After the feedback signal is generated, the number and interval duration of the areas enclosed by the line segment of the monitoring and evaluation coefficient curve located above the preset monitoring and evaluation coefficient curve and the preset monitoring and evaluation coefficient curve are immediately obtained from the coordinate system, and the ratio of the number of enclosed areas and the interval duration obtained after data normalization is marked as the safety interference value, and the safety interference value is compared and analyzed with the preset safety interference value threshold stored in the internal input:

[0020] If the safety interference value is less than the preset safety interference value threshold, a normal signal is generated;

[0021] If the safety interference value is greater than or equal to the preset safety interference value threshold, an optimization signal is generated;

[0022] If the live monitoring risk value is greater than or equal to the preset live monitoring risk value threshold, a risk signal is generated.

[0023] Preferably, the obstacle management evaluation and analysis process of the response evaluation unit is as follows:

[0024] T1: Obtain the execution obstacle value of the park warning equipment within the time threshold. The execution obstacle value represents the product of the part of the line port operating resistance value of the buzzer and the light bulb that deviates from the preset range and the execution delay ratio after data normalization. The execution delay ratio represents the proportion of the warning delay times in the total warning times;

[0025] T2: Obtain the potential risk value of the park early warning equipment within the time threshold. The potential risk value represents the product of the environmental impact value and the damage value of the early warning equipment after data normalization. The environmental impact value represents the ratio between the duration corresponding to the deviation of the internal environmental parameters of the early warning equipment from the preset range and the input duration. The environmental parameters include temperature and humidity. The input duration represents the duration from the time the early warning equipment is put into use to the current time. The damage value represents the ratio between the duration corresponding to the operation temperature of the internal line port exceeding the preset threshold and the input duration.

[0026] T3: Compare and analyze the execution obstacle value and potential risk value with the preset execution obstacle value threshold and preset potential risk value threshold that are stored internally:

[0027] If the execution barrier value is less than the preset execution barrier value threshold, and the potential risk value is less than the preset potential risk value threshold, a valid signal is generated;

[0028] If the execution obstacle value is greater than or equal to a preset execution obstacle value threshold, or the potential risk value is greater than or equal to a preset potential risk value threshold, an impact signal is generated.

[0029] Preferably, the information fusion feedback matching analysis process of the optimization control unit is as follows:

[0030] Obtain the execution obstacle value and potential risk value corresponding to the valid signal within the time threshold, obtain the real-time monitoring risk value corresponding to the normal signal within the time threshold, and label the execution obstacle value, potential risk value and real-time monitoring risk value as ZZ, QF and SJ respectively;

[0031] According to the formula The safety monitoring assessment coefficient is obtained, where f1, f2 and f3 are the preset weight factor coefficients of the execution obstacle value, potential risk value and actual monitoring risk value respectively, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset fault tolerance factor coefficient, and its value is 2.882, R is the safety monitoring assessment coefficient, and the safety monitoring assessment coefficient R is compared and analyzed with the preset safety monitoring assessment coefficient threshold value stored in the internal input:

[0032] If the ratio between the safety monitoring assessment coefficient R and the preset safety monitoring assessment coefficient threshold is less than or equal to 1, no signal is generated;

[0033] If the ratio between the safety monitoring evaluation coefficient R and the preset safety monitoring evaluation coefficient threshold is greater than 1, a feedback instruction is generated.

[0034] Preferably, when the optimization control unit generates a feedback instruction:

[0035] Immediately obtain the part of the safety monitoring evaluation coefficient R that is greater than the preset safety monitoring evaluation coefficient threshold, and mark it as the safety optimization value. At the same time, obtain the safety optimization value corresponding to the optimization signal within the historical k time thresholds, where k is a natural number greater than zero, and then construct a set A of safety optimization values, obtain the variance value of set A, and mark it as the regulation evaluation coefficient. Compare and analyze the regulation evaluation coefficient with the preset regulation evaluation coefficient threshold stored in its internal entry:

[0036] If the control evaluation coefficient is less than the preset control evaluation coefficient threshold, a low-level control signal is generated;

[0037] If the control evaluation coefficient is greater than or equal to the preset control evaluation coefficient threshold, a high-level control signal is generated.

[0038] The beneficial effects of the present invention are as follows:

[0039] (1) The present invention analyzes the monitoring status of the park monitoring equipment itself, which, on the one hand, helps to understand whether the monitoring status of the park monitoring equipment itself is normal, so as to provide timely feedback management; on the other hand, it helps to provide data support for subsequent park monitoring management, and understands the impact of the park early warning equipment on the park safety under the premise that the monitoring of the park monitoring equipment itself is normal, and conducts in-depth analysis through information fusion to understand the monitoring safety status of the entire park, so as to reasonably and targetedly optimize and adjust the park monitoring strategy according to the information feedback, so as to improve the safety and management effect of the entire park;

[0040] (2) The present invention conducts in-depth security monitoring and processing analysis on the monitoring evaluation coefficient curve to determine whether the monitoring equipment has an impact on the monitoring safety of the park, so as to timely perform early warning feedback optimization processing to ensure the monitoring effect of the park, and further analyzes whether the monitoring equipment has an impact on the monitoring safety of the park through secondary analysis, thereby improving the accuracy of park monitoring, and conducts obstacle management evaluation analysis on the early warning risk data to understand the impact of the park early warning equipment on the safety of the park under the premise of normal monitoring, so as to manage the park early warning equipment according to the information feedback to reduce the impact of the park early warning equipment on the safety of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings;

[0042] Figure 1 It is a flowchart of the system of the present invention;

[0043] Figure 2 This is a reference diagram for analysis of the first embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0045] Embodiment 1:

[0046] See also Figure 1 to Figure 2 As shown, the present invention is a security monitoring and management system for a smart park, including a security management platform, a data storage unit, a monitoring and evaluation unit, an information extraction unit, a response evaluation unit, an optimization and control unit, and an execution management unit. The security management platform is connected to the data storage unit in a one-way communication manner, the data storage unit is connected to the monitoring and evaluation unit in a one-way communication manner, the monitoring and evaluation unit is connected to the information extraction unit in a one-way communication manner, the information extraction unit is connected to the response evaluation unit, the optimization and control unit, and the execution management unit in a one-way communication manner, the response evaluation unit is connected to the optimization and control unit and the execution management unit in a one-way communication manner, and the optimization and control unit is connected to the execution management unit in a one-way communication manner;

[0047] When the security management platform generates an operation and management instruction, it sends the operation and management instruction to the data storage unit. After receiving the operation and management instruction, the data storage unit immediately collects the basic monitoring data of the park. The basic monitoring data represents the monitoring performance value and the monitoring impact value, and sends the basic monitoring data to the monitoring evaluation unit. After receiving the basic monitoring data, the monitoring evaluation unit immediately performs monitoring risk feedback evaluation and analysis on the basic monitoring data to understand the performance of the park's monitoring itself, so as to provide data support for subsequent management. The specific monitoring risk feedback evaluation and analysis process is as follows:

[0048] Set a monitoring period and mark it as a time threshold, and obtain the monitoring performance value of the park within the time threshold. The monitoring performance value represents the ratio of the image quality evaluation value of the display image of the monitoring device to the maximum monitoring angle after data normalization. The image quality evaluation value represents the ratio between the spot area on the display image and the display image area. It should be noted that the monitoring performance value is an influencing parameter reflecting the monitoring safety of the park. The larger the value of the monitoring performance value, the greater the safety risk of the park.

[0049] The monitoring impact value of the park within the time threshold is obtained. The monitoring impact value indicates the ratio of the actual transmission rate of the monitoring equipment information to the operating status coefficient of the monitoring equipment after data normalization. The operating status coefficient indicates the ratio of the portion of the network frame drop rate exceeding the preset threshold to the average duration of the screen switching freeze interval after data normalization. It should be noted that the monitoring impact value is an influencing parameter reflecting the monitoring safety of the park. The larger the value of the monitoring impact value, the greater the safety risk of the park. The monitoring performance value and the monitoring impact value are labeled JB and JY respectively.

[0050] According to the formula The monitoring and evaluation coefficient is obtained, wherein a1 and a2 are preset proportional factor coefficients of the monitoring performance value and the monitoring impact value, respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the calculation process of the formula, so as to make the calculation result more accurate. Both a1 and a2 are positive numbers greater than zero. A3 is a preset correction factor coefficient, and its value is 1.817. J is the monitoring and evaluation coefficient. A rectangular coordinate system is established with time as the X-axis and the monitoring and evaluation coefficient as the Y-axis, and then a monitoring and evaluation coefficient curve is drawn, and the monitoring and evaluation coefficient curve is sent to the information extraction unit;

[0051] After receiving the monitoring and evaluation coefficient curve, the information extraction unit immediately performs in-depth security monitoring processing and analysis on the monitoring and evaluation coefficient curve to determine whether the monitoring equipment has an impact on the monitoring safety of the park, so as to timely perform early warning feedback optimization processing to ensure the monitoring effect of the park. The specific in-depth security monitoring processing and analysis process is as follows:

[0052] The monitoring and evaluation coefficient curve of the park within the time threshold is obtained, and the preset monitoring and evaluation coefficient curve is drawn in the coordinate system at the same time, so as to obtain the time length corresponding to the line segment above the preset monitoring and evaluation coefficient curve, and the product value obtained after data normalization processing of the area enclosed by the upper line segment and the preset monitoring and evaluation coefficient curve, and mark it as the actual monitoring risk value, and compare and analyze the actual monitoring risk value with the preset actual monitoring risk value threshold value stored in the internal input:

[0053] If the actual monitoring risk value is less than the preset actual monitoring risk value threshold, a feedback signal is generated. After the feedback signal is generated, the number and interval duration of the areas enclosed by the line segment of the monitoring and evaluation coefficient curve located above the preset monitoring and evaluation coefficient curve and the preset monitoring and evaluation coefficient curve are immediately obtained from the coordinate system, and the ratio of the number of enclosed areas and the interval duration obtained after data normalization is marked as the safety interference value, and the safety interference value is compared and analyzed with the preset safety interference value threshold stored in the internal input:

[0054] If the safety interference value is less than the preset safety interference value threshold, a normal signal is generated and sent to the response evaluation unit and the optimization control unit;

[0055] If the safety interference value is greater than or equal to the preset safety interference value threshold, an optimization signal is generated;

[0056] If the actual monitoring risk value is greater than or equal to the preset actual monitoring risk value threshold, a risk signal is generated, and the risk signal and the optimization signal are sent to the execution management unit. After receiving the risk signal and the optimization signal, the execution management unit immediately displays the preset warning texts corresponding to the risk signal and the optimization signal, respectively, so as to optimize and adjust the park monitoring equipment according to the information feedback to ensure the monitoring effect and park safety.

[0057] Embodiment 2:

[0058] After receiving the normal signal, the response evaluation unit immediately collects the early warning risk data of the park early warning equipment. The early warning risk data includes the execution obstacle value and the potential risk value, and performs an obstacle management evaluation and analysis on the early warning risk data to understand the impact of the park early warning equipment on the park safety under the premise of normal monitoring, so as to make reasonable early warning adjustments. The specific obstacle management evaluation and analysis process is as follows:

[0059] The execution obstacle value of the park warning device within the time threshold is obtained. The execution obstacle value represents the product of the part of the line port operating resistance value of the buzzer and the light bulb that deviates from the preset range and the execution delay ratio after data normalization. The execution delay ratio represents the proportion of the number of warning delays in the total number of warnings. It should be noted that the larger the execution obstacle value, the greater the risk of the warning device affecting the safety of the park;

[0060] The potential risk value of the park early warning equipment within the time threshold is obtained. The potential risk value represents the product of the environmental impact value and the damaged value of the early warning equipment after data normalization. The environmental impact value represents the ratio between the time corresponding to the deviation of the internal environmental parameters of the early warning equipment from the preset range and the input time. The environmental parameters include temperature value, humidity value, etc. The input time represents the time from the time when the early warning equipment is put into use to the current time. The damaged value represents the ratio between the time corresponding to the operation temperature of the internal line port exceeding the preset threshold and the input time. It should be noted that the potential risk value is an impact parameter reflecting the early warning risk of the early warning equipment. The larger the value of the potential risk value, the greater the risk of the early warning equipment being affected, and the greater the risk of the park safety being affected.

[0061] Compare and analyze the execution obstacle value and potential risk value with the preset execution obstacle value threshold and preset potential risk value threshold that are stored internally:

[0062] If the execution obstacle value is less than the preset execution obstacle value threshold, and the potential risk value is less than the preset potential risk value threshold, a valid signal is generated and sent to the optimization control unit;

[0063] If the execution obstacle value is greater than or equal to the preset execution obstacle value threshold, or the potential risk value is greater than or equal to the preset potential risk value threshold, an impact signal is generated and sent to the execution management unit. After receiving the impact signal, the execution management unit immediately displays the preset warning text corresponding to the impact signal, so as to manage the park warning equipment according to the information feedback, so as to reduce the impact of the park warning equipment on the park safety, thereby helping to improve the monitoring safety of the park;

[0064] After receiving the valid signal and the normal signal, the optimization and control unit immediately conducts information fusion feedback matching analysis to understand whether the safety of the entire park meets the standard, so as to make reasonable and targeted optimization adjustments to improve the safety and management effect of the entire park. The specific information fusion feedback matching analysis process is as follows:

[0065] Obtain the execution obstacle value and potential risk value corresponding to the valid signal within the time threshold, obtain the real-time monitoring risk value corresponding to the normal signal within the time threshold, and label the execution obstacle value, potential risk value and real-time monitoring risk value as ZZ, QF and SJ respectively;

[0066] According to the formula The safety monitoring assessment coefficient is obtained, where f1, f2 and f3 are the preset weight factor coefficients of the execution obstacle value, potential risk value and actual monitoring risk value respectively, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset fault tolerance factor coefficient, and its value is 2.882, R is the safety monitoring assessment coefficient, and the safety monitoring assessment coefficient R is compared and analyzed with the preset safety monitoring assessment coefficient threshold value stored in the internal input:

[0067] If the ratio between the safety monitoring assessment coefficient R and the preset safety monitoring assessment coefficient threshold is less than or equal to 1, no signal is generated;

[0068] If the ratio between the safety monitoring evaluation coefficient R and the preset safety monitoring evaluation coefficient threshold is greater than 1, a feedback instruction is generated. After the feedback instruction is generated, the part of the safety monitoring evaluation coefficient R that is greater than the preset safety monitoring evaluation coefficient threshold is immediately obtained and marked as the safety optimization value. At the same time, the safety optimization value corresponding to the optimization signal within the historical k time threshold is obtained, where k is a natural number greater than zero, and then a set A of safety optimization values ​​is constructed, the variance value of set A is obtained, and it is marked as the regulation evaluation coefficient. The regulation evaluation coefficient is compared and analyzed with the preset regulation evaluation coefficient threshold that is internally entered and stored:

[0069] If the control evaluation coefficient is less than the preset control evaluation coefficient threshold, a low-level control signal is generated;

[0070] If the control evaluation coefficient is greater than or equal to the preset control evaluation coefficient threshold, a high-level control signal is generated, and the low-level control signal and the high-level control signal are sent to the execution management unit. After receiving the low-level control signal and the high-level control signal, the execution management unit immediately displays the preset warning text corresponding to the low-level control signal and the high-level control signal, so as to optimize and adjust the park monitoring strategy according to the information feedback, so as to improve the safety and management effect of the entire park;

[0071] In summary, the present invention analyzes from the perspective of the monitoring status of the park monitoring equipment itself. On the one hand, it helps to understand whether the monitoring status of the park monitoring equipment itself is normal, so as to provide timely feedback management. On the other hand, it helps to provide data support for subsequent park monitoring and management, and understand the impact of the park early warning equipment on the park safety under the premise that the park monitoring equipment itself monitors normally, and conducts in-depth analysis through information fusion to understand the monitoring safety of the entire park, and then optimizes and adjusts the park monitoring strategy reasonably and targetedly according to the information feedback to improve the safety and management effect of the entire park, and conducts in-depth security monitoring processing and analysis on the monitoring evaluation coefficient curve to determine whether the monitoring equipment has an impact on the park monitoring safety, so as to timely perform early warning feedback optimization processing to ensure the park monitoring effect, and further analyze whether the monitoring equipment has an impact on the park monitoring safety through secondary analysis, thereby improving the accuracy of park monitoring, and hindering management evaluation analysis of the early warning risk data to understand the impact of the park early warning equipment on the park safety under the premise of normal monitoring, so as to manage the park early warning equipment according to the information feedback to reduce the impact of the park early warning equipment on the park safety.

[0072] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0073] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A security monitoring and management system for a smart park, characterized in that: It includes a security management platform, a data storage unit, a monitoring and evaluation unit, an information extraction unit, a response evaluation unit, an optimization and control unit, and an execution management unit; The security management platform is connected to the data storage unit, and is used to analyze the park security monitoring, generate operation management instructions, and send the operation management instructions to the data storage unit; The data storage unit is in one-way communication connection with the monitoring and evaluation unit, and is used to respond to the operation management instruction, collect the basic monitoring data and send it to the monitoring and evaluation unit; The monitoring and evaluation unit is used to perform monitoring risk feedback evaluation and analysis on the monitoring basic data to obtain a monitoring and evaluation coefficient curve, and send the monitoring and evaluation coefficient curve to the information extraction unit; The information extraction unit is used to perform in-depth safety monitoring processing and analysis on the measurement evaluation coefficient curve to obtain a real-time monitoring risk value and a safety interference value, and to generate a normal signal, an optimization signal and a risk signal using the real-time monitoring risk value and the safety interference value, and to send the normal signal to the response evaluation unit and the optimization control unit, and to send the risk signal and the optimization signal to the execution management unit; The response evaluation unit is used to perform an obstacle management evaluation and analysis on the early warning risk data, generate a valid signal and an impact signal, send the valid signal to the optimization control unit, and send the impact signal to the execution management unit; The optimization control unit is used to respond to the valid signal and the normal signal, and perform information fusion feedback matching analysis to obtain a low-level control signal and a high-level control signal, and send the low-level control signal and the high-level control signal to the execution management unit.

2. The security monitoring and management system for a smart park according to claim 1 is characterized in that: The monitoring risk feedback assessment and analysis process of the monitoring and assessment unit is as follows: S1: Set a monitoring period and mark it as a time threshold, and obtain the monitoring performance value of the park within the time threshold. The monitoring performance value represents the ratio of the image quality evaluation value of the display image of the monitoring device to the maximum monitoring angle after data normalization. The image quality evaluation value represents the ratio between the spot area on the display image and the display image area. S2: Obtain the monitoring impact value of the park within the time threshold. The monitoring impact value represents the ratio of the actual transmission rate of the monitoring equipment information to the operating status coefficient of the monitoring equipment after data normalization. The operating status coefficient represents the ratio of the portion of the network frame drop rate exceeding the preset threshold to the average duration of the screen switching freeze interval after data normalization. The monitoring performance value and the monitoring impact value are labeled JB and JY respectively. S3: According to the formula The monitoring evaluation coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the monitoring performance value and the monitoring impact value, respectively. Both a1 and a2 are positive numbers greater than zero. a3 is the preset correction factor coefficient, which is 1.

817. J is the monitoring evaluation coefficient. A rectangular coordinate system is established with time as the X-axis and the monitoring evaluation coefficient as the Y-axis to draw the monitoring evaluation coefficient curve.

3. The security monitoring and management system for a smart park according to claim 1 is characterized in that: The in-depth security monitoring processing and analysis process of the information extraction unit is as follows: The monitoring and evaluation coefficient curve of the park within the time threshold is obtained, and the preset monitoring and evaluation coefficient curve is drawn in the coordinate system at the same time, so as to obtain the time length corresponding to the line segment above the preset monitoring and evaluation coefficient curve, and the product value obtained after data normalization processing of the area enclosed by the upper line segment and the preset monitoring and evaluation coefficient curve, and mark it as the actual monitoring risk value, and compare and analyze the actual monitoring risk value with the preset actual monitoring risk value threshold value stored in the internal input: If the actual monitoring risk value is less than the preset actual monitoring risk value threshold, a feedback signal is generated. After the feedback signal is generated, the number and interval duration of the areas enclosed by the line segment of the monitoring and evaluation coefficient curve located above the preset monitoring and evaluation coefficient curve and the preset monitoring and evaluation coefficient curve are immediately obtained from the coordinate system, and the ratio of the number of enclosed areas and the interval duration obtained after data normalization is marked as the safety interference value, and the safety interference value is compared and analyzed with the preset safety interference value threshold stored in the internal input: If the safety interference value is less than the preset safety interference value threshold, a normal signal is generated; If the safety interference value is greater than or equal to the preset safety interference value threshold, an optimization signal is generated; If the live monitoring risk value is greater than or equal to the preset live monitoring risk value threshold, a risk signal is generated.

4. The security monitoring and management system for a smart park according to claim 1 is characterized in that: The obstacle management assessment analysis process of the response assessment unit is as follows: T1: Obtain the execution obstacle value of the park warning equipment within the time threshold. The execution obstacle value represents the product of the part of the line port operating resistance value of the buzzer and the light bulb that deviates from the preset range and the execution delay ratio after data normalization. The execution delay ratio represents the proportion of the warning delay times in the total warning times; T2: Obtain the potential risk value of the park early warning equipment within the time threshold. The potential risk value represents the product of the environmental impact value and the damage value of the early warning equipment after data normalization. The environmental impact value represents the ratio between the duration corresponding to the deviation of the internal environmental parameters of the early warning equipment from the preset range and the input duration. The environmental parameters include temperature and humidity. The input duration represents the duration from the time the early warning equipment is put into use to the current time. The damage value represents the ratio between the duration corresponding to the operation temperature of the internal line port exceeding the preset threshold and the input duration. T3: Compare and analyze the execution obstacle value and potential risk value with the preset execution obstacle value threshold and preset potential risk value threshold that are stored internally: If the execution barrier value is less than the preset execution barrier value threshold, and the potential risk value is less than the preset potential risk value threshold, a valid signal is generated; If the execution obstacle value is greater than or equal to a preset execution obstacle value threshold, or the potential risk value is greater than or equal to a preset potential risk value threshold, an impact signal is generated.

5. The security monitoring and management system for a smart park according to claim 1 is characterized in that: The information fusion feedback matching analysis process of the optimization control unit is as follows: Obtain the execution obstacle value and potential risk value corresponding to the valid signal within the time threshold, obtain the real-time monitoring risk value corresponding to the normal signal within the time threshold, and label the execution obstacle value, potential risk value and real-time monitoring risk value as ZZ, QF and SJ respectively; According to the formula The safety monitoring assessment coefficient is obtained, where f1, f2 and f3 are the preset weight factor coefficients of the execution obstacle value, potential risk value and actual monitoring risk value respectively, f1, f2 and f3 are all positive numbers greater than zero, f4 is the preset fault tolerance factor coefficient, and its value is 2.882, R is the safety monitoring assessment coefficient, and the safety monitoring assessment coefficient R is compared and analyzed with the preset safety monitoring assessment coefficient threshold value stored in the internal input: If the ratio between the safety monitoring assessment coefficient R and the preset safety monitoring assessment coefficient threshold is less than or equal to 1, no signal is generated; If the ratio between the safety monitoring evaluation coefficient R and the preset safety monitoring evaluation coefficient threshold is greater than 1, a feedback instruction is generated.

6. The security monitoring and management system for a smart park according to claim 5 is characterized in that: When the optimization control unit generates a feedback instruction: Immediately obtain the part of the safety monitoring evaluation coefficient R that is greater than the preset safety monitoring evaluation coefficient threshold, and mark it as the safety optimization value. At the same time, obtain the safety optimization value corresponding to the optimization signal within the historical k time thresholds, where k is a natural number greater than zero, and then construct a set A of safety optimization values, obtain the variance value of set A, and mark it as the regulation evaluation coefficient. Compare and analyze the regulation evaluation coefficient with the preset regulation evaluation coefficient threshold stored in its internal entry: If the control evaluation coefficient is less than the preset control evaluation coefficient threshold, a low-level control signal is generated; If the control evaluation coefficient is greater than or equal to the preset control evaluation coefficient threshold, a high-level control signal is generated.

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