Intelligent management system for smart park

Abstract

The application discloses a kind of intelligent management systems of wisdom park, it is related to security technical field, the present application carries out identity authentication to night wisdom park visitor by authentication module, monitoring terminal carries out monitoring to the night visitor, illumination module obtains the shortest path of the night visitor to reach destination position in advance, all corresponding street lamps on the path are opened with guide power W1, based on the current position of the night visitor, the power of pre-arrival street lamp and pre-departure street lamp is adjusted, on the one hand, it is ensured that the process of guiding the path of the visitor will not produce excessive energy consumption, on the other hand, it is ensured that the safety of the night visitor walking at night is reduced as much as possible on the basis of energy consumption, and the distance between the night visitor and the current pre-arrival street lamp is calculated after P1 time, and it is determined, the monitoring video data of the night visitor determined abnormally is uploaded in real time, to ensure the timeliness of monitoring video data.

Description

Technical Field

[0001] This invention relates to the field of security technology, and more specifically to a smart park intelligent management system. Background Technology

[0002] Currently, smart city initiatives are in full swing in every major city, aiming to connect ubiquitous smart sensors embedded in various locations of the city through networks to form the Internet of Things, thereby achieving comprehensive perception of the physical world.

[0003] Existing technologies for the management of smart parks typically include the management of streetlights and security within the smart park at night. One way to manage streetlights in a smart park at night is to turn on nearby streetlights based on the location of people at night. While this method can reduce energy consumption while ensuring basic lighting for people at night, it also limits the visibility range of visitors and reduces the efficiency of visitors reaching their destination quickly.

[0004] One existing method for managing the security of smart parks at night is to monitor and upload real-time videos of visitors at night. This method is used to determine the behavior of visitors at night. However, this method relies on the network transmission environment and requires on-duty personnel to continuously view the videos of visitors at night. Furthermore, the continuous real-time transmission of videos will put pressure on the storage of the central control platform.

[0005] To address the above problems, this invention proposes a solution. Summary of the Invention

[0006] The purpose of this invention is to provide a smart park intelligent management system. The aim is to solve the problem that while existing technologies can reduce energy consumption while ensuring basic lighting for people at night, this also limits the visibility range of visitors and reduces the efficiency of visitors reaching their destination quickly. The invention provides real-time video monitoring and uploading of nighttime visitors to determine their behavior. However, this method relies on the network transmission environment and requires on-duty personnel to continuously review the video of nighttime visitors. Furthermore, the continuous real-time transmission of video will put pressure on the storage of the central control platform.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A smart park intelligent management system includes:

[0009] A security terminal manages the security of the smart park at night. The security terminal includes a reservation information storage module, an authentication module, and an access module.

[0010] The reservation information storage module stores the reservation information of authorized nighttime visitors. The reservation information of the nighttime visitors includes the reservation time, the location of the enterprise in the smart park to be visited, and the visitor's identity registration information, which includes the visitor's name, contact information, ID card number, and facial feature information.

[0011] The authentication module obtains the name, contact information, visit time, and facial feature data of the visitor at night, and then uses the name and contact information of the visitor at night as search criteria to perform a precise search in the reservation information storage module.

[0012] If no results are found in the query, the access module keeps the unattended access gates of the smart park's access channels closed;

[0013] If the query yields results, the facial feature data and visit time of the current nighttime visitor in the query results are obtained and compared with the obtained visit time and facial feature data of the current nighttime visitor. If they match, the access module opens the unattended access control gate to allow the current nighttime visitor to enter.

[0014] The monitoring terminal monitors the visitors at night and generates their real-time location information.

[0015] The lighting module provides intelligent lighting for visitors at night. The lighting module includes a path storage unit and a tracking lighting unit. The path storage unit stores the shortest currently traversable path for all enterprises in the smart park and the location information of all streetlights in the smart park.

[0016] The tracking lighting unit obtains the shortest path that the night visitor plans to visit in the smart park and the location information of all streetlights on that path from the path storage unit based on the location information of all streetlights on that path. The tracking lighting unit then turns on all the streetlights on that path according to the location information of all the streetlights on that path and provides guidance lighting for the night visitor with a preset guidance power W1.

[0017] The tracking lighting unit tracks and illuminates the nighttime visitor according to the visitor's real-time location information and certain tracking lighting rules, as follows:

[0018] S11: Mark all the streetlights on the shortest path that the visitor can take at night as PA1, PA2, ..., PAa, where a≥1. PA1 is the streetlight closest to the unmanned access control gate of the smart park, and PAa is the streetlight closest to the location of the company in the smart park that the visitor has made an appointment to visit.

[0019] S12: Based on the current direction of travel of the night visitor, obtain the streetlight that the night visitor is expected to reach on its shortest possible path. Obtain the distance between the current location of the night visitor and the street light PAI, mark it as the expected arrival distance and label it PBi; obtain the distance between the current location of the night visitor and the street light PAI-1, mark it as the expected departure distance and label it PBi-1;

[0020] S13: Compare the magnitude of PBi with the preset distance PD1:

[0021] S131: If PBi≤PD1, use the formula Calculate the light adjustment time PVi of the street light PAi before the night visitor arrives, where vi is the current walking speed of the night visitor and α1 is a preset coefficient;

[0022] Using formula Calculate the normal interval dwell time P1 of the nighttime visitor based on the current expected arrival street light Pai, where α2 is a preset coefficient;

[0023] Using formula Calculate the light adjustment time PVi-1 for the nighttime visitor who wants to leave the street light PAi-1, where α3 is a preset coefficient;

[0024] S132: If PBi>PD1, no changes will be made to the current pre-arrival streetlights PBi and PBi-1 for the night visitor;

[0025] S14: The tracking lighting unit starts timing. After time P1, it obtains the distance between the nighttime visitor and the street light Pai and marks it as PE1.

[0026] S141: Compare PE1 with the preset PD2. If PE1≤PD2, use the formula QVi=PVi-P1 to calculate the adjustment time QVi of the street light PAI, and adjust the power of the street light PAI to the preset lighting power W2 after QVi time.

[0027] The adjustment time QVi-1 of street light PAi-1 is calculated using the formula QVi-1=P2-P1×α4, and the power of street light PAi-1 is adjusted to reach the preset guiding power W1 after QVi-1 time, where α4 is a preset coefficient.

[0028] S142: otherwise, the tracking lighting unit generates an early warning instruction and transmits it to a monitoring terminal, and after the monitoring terminal receives the early warning instruction transmitted by the tracking lighting unit, it transmits the current monitoring data of the night visitor to a central control platform in real time;

[0029] The central control platform performs safety judgment on the behavior of the abnormal visitor, and after the central control unit receives the monitoring video data of the night visitor, it displays the data to the night on-duty personnel of the central control platform for viewing;

[0030] After acquiring the time P1 in real time, the tracking lighting unit acquires the time of street lamps PAi and PAi-1, and calibrates the time as abnormal time data of the night visitor based on adjacent street lamps PAi and PAi-1.

[0031] Further, the current shortest passable path for all enterprises in the smart park is a pedestrian passage provided with a plurality of street lamps, which takes the entrance of the unattended access gate of the smart park as the path starting point and the location of the enterprise in the smart park as the path end point, and the unattended access gate only allows one person to pass at a time.

[0032] Further, the lighting module further comprises an early warning unit, and the early warning unit judges the abnormal time data of multiple groups of adjacent street lamps corresponding to the night visitor according to a set of judgment rules, and the specific judgment rules are as follows:

[0033] S21: acquiring the total number of street lamps on the shortest passable path corresponding to the night visitor, and recalibrating the total number as g;

[0034] S22: sequentially marking the multiple groups of abnormal time data of adjacent street lamps corresponding to the night visitor, and marking them as T1, T2, ..., Tg-1 in sequence;

[0035] S23: using a formula to calculate and obtain the discrete value K of abnormal time of multiple groups of adjacent street lamps corresponding to the night visitor, comparing K with K1 in size, if K≥K1, deleting the corresponding Tk values in descending order of |Tk-T| and calculating to obtain the discrete value K of the remaining Tk, comparing K with K1 again until K<K1, wherein K1 is a preset threshold, and T is the mean value of the abnormal time of the remaining multiple groups of adjacent street lamps that the night visitor participates in the discrete value calculation;

[0036] S24: using the formula R = β1 × Tmax + T × β2 to calculate and obtain the abnormal time limit value R of the current night visitor, wherein β1 and β2 are preset specific gravity coefficients;

[0037] S25: Compare R with the preset R1. If R > R1, the warning unit generates a lock-up command and transmits it to the security terminal and the central control platform respectively. Otherwise, the warning unit does not perform any processing.

[0038] Furthermore, the access module receives a lock command transmitted by the early warning unit and locks the unattended access control gate of the smart park access channel.

[0039] Furthermore, upon receiving a lockout command from the early warning unit, the central control platform's night shift personnel review the visitor's security based on the real-time transmitted monitoring video data. If the review is successful, the access module opens the unmanned access gate of the smart park's access channel to allow the night visitor to leave.

[0040] The beneficial effects of this invention are:

[0041] (1) This invention uses an authentication module to authenticate the identity of visitors to the smart park at night, and a monitoring terminal to monitor the current nighttime visitor. The lighting module obtains the shortest path to the nighttime visitor's destination and the location information of all streetlights in the smart park based on the nighttime visitor's expected destination location. All streetlights on the path are turned on with a guiding power W1. Based on the nighttime visitor's current location, the power of the streetlights to which the visitor is expected to arrive and the streetlights to which the visitor is expected to leave is adjusted. On the one hand, this ensures that no excessive energy consumption is generated during the path guidance process for the visitor. On the other hand, it ensures the safety of the nighttime visitor while minimizing energy consumption. At the same time, it calculates and obtains the light adjustment time of the streetlight to which the nighttime visitor is expected to arrive. After P1 time, the distance between the nighttime visitor and the current expected streetlight is measured and judged. The monitoring video data of the nighttime visitor with abnormal judgment is uploaded in real time to ensure the timeliness of the monitoring video data.

[0042] (2) The present invention improves the security of the smart park by setting up an early warning unit to judge the abnormal time data of the nighttime visitors based on the adjacent street lights, and locking or opening the unattended access gate of the smart park entrance based on the judgment result. Attached Figure Description

[0043] The invention will now be further described with reference to the accompanying drawings.

[0044] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, a smart park intelligent management system includes a security terminal, a lighting module, a monitoring terminal, and a central control platform;

[0047] The security terminal is used to manage the security of the smart park at night. The security terminal includes a reservation information storage module, an authentication module, and an access module.

[0048] The reservation information storage module stores the reservation information of authorized nighttime visitors. The reservation information of nighttime visitors includes the reservation time, the expected stay time, the location of the enterprise in the smart park to be visited, and the visitor's identity registration information, which includes the visitor's name, contact information, ID card number, and facial information.

[0049] The authentication module obtains the name, contact information, visit time, and facial data of the current night visitor, and then uses the name and contact information of the current night visitor as search criteria to perform a precise search in the appointment information storage module.

[0050] If no result is found in the query, the authentication module generates an authentication failure instruction and transmits it to the access module. The access module is used to control the unattended access control gate of the smart park access channel. After receiving the authentication failure instruction generated by the authentication module, the access module keeps the unattended access control gate of the smart park access channel closed.

[0051] If the query yields results, the facial data and arrival time of the current nighttime visitor's appointment information stored in the appointment information storage module are retrieved and compared with the current nighttime visitor's arrival time and facial data. If they match, the authentication module generates an authentication pass command and transmits it to the access module. The authentication module transmits the current nighttime visitor's facial data to the monitoring terminal; the authentication module also transmits the data of the current nighttime visitor's scheduled visit to the location of the enterprise within the smart park to the lighting module.

[0052] After receiving the authentication pass instruction transmitted by the authentication module, the access module opens the unattended access control gate to allow the currently authenticated visitor to enter. After the visitor enters, the access module closes the unattended access control gate. In this embodiment, the unattended access control gate only allows one person to pass through at a time.

[0053] The monitoring terminal is used to monitor the location information data of visitors at night in real time. After receiving the facial data of the current visitor transmitted by the authentication module, the monitoring terminal locks the current visitor based on the facial data and generates the real-time location information data of the night visitor. The monitoring terminal transmits the real-time location information of the night visitor to the lighting module.

[0054] The lighting module is used to illuminate the visitor at night, and the lighting module includes a tracking lighting unit, a path storage unit, and an early warning unit.

[0055] The path storage unit stores the location information data of all streetlights in the smart park and the current shortest path that all enterprises can travel. In this embodiment, the current shortest path that enterprises in the smart park can travel is a pedestrian passage that passes through several streetlights, with the unmanned access control gate at the entrance of the smart park as the starting point and the enterprise's location in the smart park as the ending point.

[0056] After receiving the data on the expected arrival location of the night visitor from the authentication module, the lighting module transmits it to the path storage unit. After receiving the data on the expected arrival location of the night visitor from the lighting module, the path storage unit obtains the location information of all streetlights on the shortest possible path of the night visitor based on the data and transmits it to the tracking lighting unit and the early warning unit respectively.

[0057] After receiving the location information of all streetlights on the shortest path that the nighttime visitor can travel via the lighting module, the tracking lighting unit turns on all streetlights on the shortest path that the nighttime visitor can travel via and provides guidance lighting with a preset guidance power W1.

[0058] After receiving the real-time location information of the nighttime visitor from the monitoring terminal, the lighting module transmits it to the tracking lighting unit.

[0059] After receiving the real-time location information of the nighttime visitor transmitted by the lighting module, the tracking lighting unit tracks and illuminates the nighttime visitor according to certain tracking lighting rules, based on the shortest possible path to the streetlights. The specific tracking lighting rules are as follows:

[0060] S11: Mark all the streetlights on the shortest path that the visitor can take at night as PA1, PA2, ..., PAa, where a≥1. PA1 is the streetlight closest to the unmanned access control gate of the smart park, and PAa is the streetlight closest to the location of the company in the smart park that the visitor has scheduled to visit.

[0061] S12: Based on the current direction of movement of the visitor at night, obtain the streetlights that the visitor is expected to reach on their shortest possible path. Obtain the distance between the current location of the night visitor and the street light PAI, mark it as the expected arrival distance and label it PBi; obtain the distance between the current location of the night visitor and the street light PAI-1, mark it as the expected departure distance and label it PBi-1;

[0062] S13: Compare the magnitude of PBi with the preset distance PD1:

[0063] S131: If PBi≤PD1, use the formula Calculate the light adjustment time PVi of the street light PAi before the night visitor arrives, where vi is the current walking speed of the night visitor and α1 is a preset coefficient;

[0064] Using formula Calculate the normal interval dwell time P1 of the current nighttime visitor based on the current expected street light Pai, where α2 is a preset coefficient;

[0065] Using formula Calculate the light adjustment time PVi-1 for the current nighttime visitor who wants to leave the street light PAi-1, where α3 is a preset coefficient;

[0066] S14: The tracking lighting unit starts timing. After time P1, it obtains the distance between the nighttime visitor and the street light Pai at that moment and marks it as PE1.

[0067] S141: Compare PE1 with the preset PD2. If PE1≤PD2, use the formula QVi=PVi-P1 to calculate the adjustment time QVi of the street light PAI, and adjust the power of the street light PAI to the preset lighting power W2 after QVi time.

[0068] The adjustment time QVi-1 of street light PAI-1 is calculated using the formula QVi-1=P2-P1×α4, and the power of street light PAI-1 is adjusted to reach the preset guiding power W1 after QVi-1 time.

[0069] S142: conversely, the tracking lighting unit generates an early warning instruction and transmits it to the monitoring terminal, and after the monitoring terminal receives the early warning instruction transmitted by the tracking lighting unit, it transmits the current monitoring data of the night visitor to the central control platform in real time;

[0070] The central control platform is configured to perform security judgment on the behavior of abnormal visitors, and after the central control platform receives the current monitoring data of the night visitor transmitted by the tracking lighting unit, it displays the data to night on-duty personnel, and the night on-duty personnel monitor and check the night visitor;

[0071] The tracking lighting unit acquires the time of street lamps PAi and PAi-1 after acquiring time P1 in real time, calibrates the time as abnormal time data of the night visitor based on adjacent street lamps PAi and PAi-1, and transmits the abnormal time data to the early warning unit;

[0072] After the early warning unit receives the multiple groups of abnormal time data of adjacent street lamps of the night visitor transmitted by the tracking lighting unit, the early warning unit judges the data according to a certain judgment rule, and the specific judgment rule is as follows:

[0073] S21: acquiring the total number g of street lamps on the shortest travelable path for the night visitor;

[0074] S22: marking the multiple groups of abnormal time data of adjacent street lamps of the night visitor sequentially as T1, T2, ..., Tg-1 in sequence;

[0075] S23: using a formula to calculate and obtain the discrete value K of abnormal time of multiple groups of adjacent street lamps of the night visitor, comparing the magnitude of K and K1, if K≥K1, deleting the corresponding Tk values sequentially in descending order of |Tk-T|, calculating and obtaining the discrete value K of the remaining Tk, comparing K and K1 again until K<K1, wherein K1 is a preset threshold, and T is the mean value of the abnormal time of the remaining multiple groups of adjacent street lamps of the night visitor participating in discrete value calculation;

[0076] S24: using the formula R=β1×Tmax+T×β2 to calculate and obtain the abnormal time limit value R of the current night visitor;

[0077] S25: comparing the magnitude of R and R1, if R>R1, the early warning unit generates a locking instruction and transmits the instruction to a security terminal and a central control platform respectively, conversely, the early warning unit does not perform any processing;

[0078] After the security terminal receives the locking instruction transmitted by the early warning unit, the security terminal transmits the locking instruction to an access module, and after the access module receives the locking instruction transmitted by the security terminal, the access module locks the unattended access gate of the smart park access passage;

[0079] After receiving the lock command from the early warning unit, the central control platform will have its night shift personnel review the visitor's security based on the real-time monitoring video. If the review is successful, the central control platform will generate an open command and transmit it to the access module. Upon receiving the open command from the central control platform, the access module will open the unmanned access gate of the smart park's access channel for the night visitor to authenticate and leave.

[0080] In the description of this specification, the references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0081] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

[0082] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A smart park intelligent management system, characterized in that, include: A security terminal manages the security of the smart park at night. The security terminal includes a reservation information storage module, an authentication module, and an access module. The reservation information storage module stores the reservation information of authorized nighttime visitors. The reservation information of the nighttime visitors includes the reservation time, the location of the enterprise in the smart park to be visited, and the visitor's identity registration information, which includes the visitor's name, contact information, ID card number, and facial feature information. The authentication module obtains the name, contact information, visit time, and facial feature data of the visitor at night, and then uses the name and contact information of the visitor at night as search criteria to perform a precise search in the reservation information storage module. If no results are found in the query, the access module keeps the unattended access gates of the smart park's access channels closed; If the query yields results, the facial feature data and visit time of the current nighttime visitor in the query results are obtained and compared with the obtained visit time and facial feature data of the current nighttime visitor. If they match, the access module opens the unattended access control gate to allow the current nighttime visitor to enter. The monitoring terminal monitors the visitors at night and generates their real-time location information. The lighting module provides intelligent lighting for visitors at night. The lighting module includes a path storage unit and a tracking lighting unit. The path storage unit stores the shortest currently traversable path for all enterprises in the smart park and the location information of all streetlights in the smart park. The tracking lighting unit obtains the shortest path that the night visitor plans to visit in the smart park and the location information of all streetlights on that path from the path storage unit based on the location information of all streetlights on that path. The tracking lighting unit then turns on all the streetlights on that path according to the location information of all the streetlights on that path and provides guidance lighting for the night visitor with a preset guidance power W1. The tracking lighting unit tracks and illuminates the nighttime visitor according to the visitor's real-time location information and certain tracking lighting rules, as follows: S11: Mark all the streetlights on the shortest path that the visitor can take at night as PA1, PA2, ..., PAa, where a≥1. PA1 is the streetlight closest to the unmanned access control gate of the smart park, and PAa is the streetlight closest to the location of the company in the smart park that the visitor has made an appointment to visit. S12: Based on the current direction of the visitor at night, obtain the street light PAI,i⊆[1,a] that the visitor is expected to reach on the shortest path. Obtain the distance between the visitor's current position and the street light PAI, mark it as the expected distance, and label it as PBi. Obtain the distance between the visitor's current position and the street light PAI-1, mark it as the expected distance, and label it as PBi-1. S13: Compare the magnitude of PBi with the preset distance PD1: S131: If PBi≤PD1, use the formula Calculate the light adjustment time PVi of the street light PAi before the night visitor arrives, where vi is the current walking speed of the night visitor and α1 is a preset coefficient; Using formula Calculate the normal interval dwell time P1 of the nighttime visitor based on the current expected arrival street light Pai, where α2 is a preset coefficient; Using formula Calculate the light adjustment time PVi-1 for the nighttime visitor who wants to leave the street light PAi-1, where α3 is a preset coefficient; S132: If PBi>PD1, no changes will be made to the current pre-arrival streetlights PBi and PBi-1 for the night visitor; S14: The tracking lighting unit starts timing. After time P1, it obtains the distance between the nighttime visitor and the street light Pai and marks it as PE1. S141: Compare PE1 with the preset PD2. If PE1≤PD2, use the formula QVi=PVi-P1 to calculate the adjustment time QVi of the street light PAI, and adjust the power of the street light PAI to the preset lighting power W2 after QVi time. The adjustment time QVi-1 of street light PAi-1 is calculated using the formula QVi-1=P2-P1×α4, and the power of street light PAi-1 is adjusted to reach the preset guiding power W1 after QVi-1 time, where α4 is a preset coefficient. S142: Conversely, the tracking lighting unit generates an early warning command and transmits it to the monitoring terminal. After receiving the early warning command transmitted by the tracking lighting unit, the monitoring terminal transmits the monitoring data of the visitor at night to the central control platform in real time. The central control platform makes security judgments on the behavior of abnormal visitors. After receiving the monitoring video data of the night visitor, the central control platform displays it to the night duty personnel for review. The tracking lighting unit acquires the time of P1 in real time and then acquires the times of streetlights PAI and PAI-1, marking them as abnormal time data of the nighttime visitor based on adjacent streetlights PAI and PAI-1.

2. The intelligent management system for a smart park according to claim 1, characterized in that, The shortest path that all enterprises in the smart park can currently travel is a pedestrian passage with several streetlights, starting from the unmanned access control gate at the entrance of the smart park and ending at the location of the enterprise in the smart park. The unmanned access control gate allows only one person to pass through at a time.

3. The intelligent management system for a smart park according to claim 1, characterized in that, The lighting module also includes an early warning unit, which determines the abnormal time data of multiple adjacent streetlights for nighttime visitors according to certain judgment rules. The specific judgment rules are as follows: S21: Obtain the total number of streetlights along the shortest possible path for the nighttime visitor and recalibrate it to g; S22: Mark the abnormal time data of multiple groups of adjacent streetlights for the visitors at night in sequence, and mark them as T1, T2, ..., Tg-1; S23: Using a formula calculating to obtain a discrete value K of abnormal times of multiple groups of adjacent street lamps corresponding to the night visitor, comparing the size of K with K1, if K≥K1, sequentially deleting the corresponding Tk values in descending order of |Tk-T| and calculating to obtain the discrete value K of the remaining Tk, comparing K with K1 again until K<K1, wherein K1 is a preset threshold, and T is the mean value of abnormal times of the multiple groups of adjacent street lamps remaining for discrete value calculation for the night visitor; S24: Calculate the abnormal time limit value R for the current nighttime visitor using the formula R=β1×Tmax+T×β2, where β1 and β2 are preset weighting coefficients; S25: Compare R with the preset R1. If R > R1, the warning unit generates a lock-up command and transmits it to the security terminal and the central control platform respectively. Otherwise, the warning unit does not perform any processing.

4. The intelligent management system for a smart park according to claim 3, characterized in that, The access module receives a lock command from the early warning unit and locks the unattended access gate of the smart park's access channel.

5. The intelligent management system for a smart park according to claim 3, characterized in that, The central control platform receives a lockout command from the early warning unit. The night shift personnel on the central control platform then conduct a security check on the night visitor based on the real-time monitoring video data. If the check is successful, the access module opens the unmanned access control gate of the smart park's access channel to allow the night visitor to leave.

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