A public place management platform based on video surveillance and emergency broadcasting

Abstract

The present invention belongs to the technical field of public place management, and specifically discloses a public place management platform based on video surveillance and emergency broadcasting, comprising: by acquiring bookshelf arrangement images belonging to each key position, identifying each vacant area and each area to be regularized belonging to each key position, and by analyzing the promotion trend of each book belonging to each key position, judging whether to regularize the books in each area to be regularized and replenish the books in each vacant area; by monitoring the book reading actions of the reviewers, judging whether the reviewers have damaged the books and whether there are space encroachment behaviors during the hot selling period of the activity, providing a time window for subsequent communication and intervention; by setting the traffic activity warning index and the customer solicitation warning index of each key position, judging whether to execute the activity restriction broadcast reminder and the activity solicitation broadcast reminder for the key position, which can effectively guide the customer diversion.

Description

Technical Field

[0001] The invention belongs to the technical field of public place monitoring and management, and relates to a public place management platform based on video monitoring and emergency broadcasting. Background Art

[0002] With the rapid development of information technology and the rise of the knowledge economy, the role and function of book lending points as important distribution centers of knowledge and information are constantly expanding and deepening. The traditional borrowing management method relies on manual recording and monitoring, which is not only inefficient but also prone to errors, making it difficult to meet the growing needs of readers and the efficient use of book resources.

[0003] In the prior art, there are some related solutions involving book borrowing monitoring and management, for example, the invention patent application for an unmanned intelligent library management system and method based on image recognition with patent number 202210560955.7, which performs a first-level anti-theft detection through an anti-theft door, and then authenticates the identity through an internal door verification module, and at the same time combines the number of books entered by the user in the borrowing mode of the self-service borrowing and returning device with the final number of borrowed books obtained by the monitoring video, and compares them to achieve a second-level anti-theft detection. By introducing a multi-level anti-theft detection process, the anti-theft effect in the unmanned library management process is improved, thereby improving the protection of books and fully maintaining the order of the unmanned library.

[0004] Although the above scheme proposes some solutions for book borrowing monitoring and management, it still has the following limitations: 1. During the promotion period of borrowing point activities, book sorting and replenishment often rely on manual experience, and it is impossible to judge the timing of book replenishment and book sorting based on the actual hot sales status of the activity. At the same time, manual inspection and judgment of book sales are not only time-consuming and labor-intensive, but also prone to errors. The lack of real-time and accurate state data support leads to delayed replenishment decisions, and hot-selling products are easily out of stock, making it difficult to efficiently and accurately complete book sorting and replenishment.

[0005] 2. During sales events, due to the blockage of human flow, traditional monitoring methods are difficult to accurately capture the movement trend information of readers. Damage to books may not be discovered in time, and it is often impossible to stop it in time due to slow response, resulting in greater losses.

[0006] 3. Traditional broadcasting systems can only broadcast notifications according to preset programs, lack multi-dimensional early warning and monitoring functions, and cannot flexibly adjust broadcast content and strategies according to real-time conditions. This makes the broadcast content unable to meet the requirements of the community borrowing point activity site environment for diversified information dissemination. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a public place management platform based on video surveillance and emergency broadcasting is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a public place management platform based on video surveillance and emergency broadcasting, including: a video capture module, used to extract activity videos of key locations of community borrowing points, capture dynamic images of each person at each key location, and number each key location as 1, 2, ...i..., m.

[0009] The borrowing activity identification module is used to extract the promotional activity information of the community borrowing points and obtain the traffic dissemination heat of each book at each key location, and analyze the promotion trend of each book at each key location based on this.

[0010] The book column monitoring module is used to identify the arrangement of bookshelves at key locations, obtain book borrowing records, and execute the book column early warning unit.

[0011] The behavior framework identification module is used to obtain the reviewer, analyze the reviewer's behavior framework, and execute the personnel behavior warning unit.

[0012] The crowd emergency trigger module is used to obtain the daily average number of readers within each time limit at each key location pre-stored in the community borrowing point, and execute the crowd warning unit.

[0013] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention determines whether to organize books in each area to be organized and to replenish books in each empty area by identifying the hot-selling trend of books during promotional activities. It can accurately identify which book categories or items are popular with consumers, and thus give priority to replenishing the empty spaces in these areas, ensuring that hot-selling products are in stock and improving sales efficiency.

[0014] (2) The present invention monitors the reviewer's book reading actions to identify the reviewer's action trend information, and can predict the reviewer's possible behavior trajectory, such as whether there is any book damage action, whether there is any space occupation during the hot selling period, and provide a time window for subsequent communication and intervention. Once it is identified that the reviewer may have book damage or space occupation behavior, the system can immediately trigger the early warning mechanism to remind relevant staff to communicate and intervene in time, which helps to stop the behavior in the early stage and reduce losses and adverse effects.

[0015] (3) The present invention sets traffic activity warning indicators and customer solicitation warning indicators for each key location to determine whether to execute activity restriction broadcast reminders and activity solicitation broadcast reminders for the key location. During peak traffic periods, activity restriction broadcast reminders can effectively guide customer diversion, avoid excessive crowding, and enhance customers' shopping or visiting experience. During low traffic periods or when there are few customers in a specific area, activity solicitation broadcast reminders can be used to attract customers, increase interaction and participation, and improve customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] See also Figure 1 As shown, the present invention provides a public place management platform based on video monitoring and emergency broadcasting, including: a video acquisition module, a borrowing activity identification module, a book column monitoring module, a behavior architecture recognition module, and a crowd emergency triggering module.

[0020] The video capture module is connected to the borrowing activity identification module, the borrowing activity identification module is connected to the book column monitoring module, the book column monitoring module is connected to the behavior architecture recognition module, and the behavior architecture recognition module is connected to the crowd emergency trigger module.

[0021] The video capture module is used to extract activity videos of key positions in community borrowing points, capture dynamic images of personnel at key positions, and number key positions as 1, 2, ...i..., m.

[0022] The borrowing activity identification module is used to extract the promotion activity information of the community borrowing point and obtain the traffic dissemination heat of each book belonging to each key position, and analyze the promotion trend of each book belonging to each key position based on this.

[0023] In a preferred implementation, the promotional activity information of the community lending point includes activity time and activity content, wherein the activity content is the promotion intensity of each book belonging to each key location.

[0024] In a further preferred embodiment, the promotion trend of each book belonging to each key position is obtained by using social media analysis tools (such as Weibo Index, Douyin data platform, etc.) to monitor key indicators such as exposure, discussion, and forwarding volume of each book belonging to each key position on social media, and obtain the traffic dissemination heat S[ij] of each book belonging to each key position, where j is the number of the book, j=1, 2,..., n.

[0025] Specifically, the traffic dissemination heat of each book at each key position is obtained by marking each key index of each book at each key position on social media as σ[ijg], and according to the analysis formula Determine the traffic dissemination heat of each book belonging to each key position, where J represents a set constant greater than 1, σ′[g] represents the preset benchmark reference value corresponding to the g-th key indicator of the book belonging to the key position on social media, g is the number of the key indicator, g=1,2,...,h.

[0026] Extract the promotion intensity P[ij] of each book at each key location from the promotion activity information of the community borrowing point, Where S 0 , P 0 They are the preset benchmark reference traffic dissemination heat and benchmark reference promotion intensity respectively.

[0027] The book row monitoring module is used to identify the arrangement of bookshelves at key locations, obtain book borrowing records, and execute the book row early warning unit.

[0028] In a preferred embodiment, the contents of the book row monitoring module include: extracting bookshelf arrangement images belonging to each key position from activity videos of each key position at the community borrowing point, comparing the bookshelf arrangement images belonging to each key position with a pre-stored complete state diagram, and identifying the empty areas and areas to be regularized belonging to each key position.

[0029] The empty area refers to the missing books at the book placement position in the bookshelf arrangement image, and the to-be-regularized area refers to the book placement contour in the bookshelf arrangement image not being consistent with the expected placement contour in the complete state image.

[0030] According to the preset judgment model, it is judged whether to send the areas to be regularized and the empty areas belonging to the key positions to the book column early warning unit.

[0031] The number of each empty area belonging to each key position is obtained from the bookshelf arrangement image belonging to each key position, and the number of each borrowed book belonging to each key position is extracted from the book borrowing record. The number of each empty area belonging to each key position is compared with the number of each borrowed book belonging to the corresponding key position. If the book number of a certain empty area belonging to a key position does not match the number of each borrowed book belonging to the key position, the empty area belonging to the key position is marked as an inspection area.

[0032] Image recognition technology is used to monitor the corresponding numbers of books read by each person at each key position from the dynamic images of each person at each key position, and the corresponding numbers of books read by each person at each key position are matched with the corresponding book numbers in the review area. If the corresponding number of books read by a person at a key position matches the corresponding book number in the review area, the person at this key position is marked as a reviewer, and the reviewer's behavioral structure is identified.

[0033] In a further preferred embodiment, the judgment of whether to send the areas to be regulated and the empty areas belonging to the key positions to the book row warning unit includes: extracting the promotion trend of the books corresponding to the empty areas belonging to the key positions from the promotion trend of the books belonging to the key positions, and extracting the maximum promotion strength P of the books corresponding to the key positions from the promotion strength of the books belonging to the key positions. i→max The actual reading flow Qd within the monitoring range of each key position of each empty seat area is obtained from the activity videos of each key position of the community borrowing point, and the promotion warning score of each empty seat area of ​​each key position is determined. Where Q 0 is the preset reference reading flow, q1 indicates that the promotion trend of the corresponding books in each vacant area of ​​each key position is an active trend, q2 indicates that the promotion trend of the corresponding books in each vacant area of ​​each key position is a stable trend, k1 and k2 respectively indicate the preset score values ​​for the active trend and stable trend of the promotion trend of the vacant area, k1>k2, d is the number of the vacant area, d=1,2,...,v.

[0034] Determine whether to send each empty area belonging to each key position to the book column warning unit. In the formula Indicates the preset empty area replenishment demand response promotion warning score benchmark indicator. Similarly, it is judged whether to send the areas to be regulated belonging to each key position to the book column warning unit. In the formula It represents the reference index of promotion warning score corresponding to the preset reset demand of the area to be regulated.

[0035] In a further preferred embodiment, the book row warning unit specifically reminds the staff to organize the books in each area to be organized, and reminds the staff to replenish the books in each empty area.

[0036] The present invention obtains the bookshelf arrangement images belonging to each key position, identifies each vacant area and each area to be regularized belonging to each key position, and determines the promotion warning score of each vacant area belonging to each key position by analyzing the promotion trend of each book belonging to each key position, and judges whether to regularize the books in each area to be regularized and replenish the books in each vacant area based on this. This method of analyzing customer flow and purchasing behavior and making reasonable adjustments to the areas to be regularized can accurately identify which book categories or items are popular with consumers, and give priority to replenishing the vacant spaces in these areas, ensuring that hot-selling products are in stock, making the book display more orderly, and improving customer shopping experience, thereby improving sales efficiency.

[0037] The behavior framework identification module is used to obtain the reviewer, analyze the reviewer's behavior framework, and execute the reviewer behavior early warning unit.

[0038] In a preferred embodiment, the behavior architecture includes action trend information and identity composition information, wherein the action trend information includes book reading action and space occupation action, and the identity composition information includes appearance and body contour, age group, and gender composition.

[0039] The action trend information recognition process is: using image recognition technology to monitor the reviewer's book reading action from the dynamic images of each person at each key position, comparing the reviewer's book reading action with the preset book damage actions, when the reviewer's book reading action matches a certain book damage action, the reviewer is recorded as a target person.

[0040] Various book damage actions such as page tearing and cutting, water immersion and oil stains, annotations and outlining, etc.

[0041] Image recognition technology is used to monitor the corresponding static duration of the reviewer's book reading action from the dynamic images of each personnel at each key position, and the corresponding static duration of the reviewer's book reading action is compared with the preset benchmark static duration. When the corresponding static duration of the reviewer's book reading action exceeds the preset benchmark static duration, the reviewer is recorded as a space encroacher, and the corresponding static duration of the space encroacher's book reading action is obtained.

[0042] The static duration refers to the standing time corresponding to the reviewer's book reading action.

[0043] The corresponding static duration of the book reading action of the space occupier is the corresponding static duration of the book reading action of the reviewer.

[0044] The identity composition information of the target personnel and the space occupiers is identified from the dynamic images of the personnel at each key position, and sent to the personnel behavior warning unit.

[0045] In a further preferred implementation, the specific content of the personnel behavior warning unit is: reminding the staff to communicate with the target personnel about the book damaging behavior, and obtaining the key position of the space occupier, extracting the promotion warning score of each empty space area belonging to the key position of the space occupier from the promotion warning score of each empty space area belonging to each key position, comparing and screening out the maximum value as the occupation action warning score of the key position of the space occupier, multiplying the occupation action warning score of the key position of the space occupier with the preset unit occupation action warning score corresponding to the allowed occupation time to obtain the allowed occupation time of the space occupier, and then comparing the allowed occupation time of the space occupier with the corresponding static time of the space occupier's book reading action, and communicating the space occupation behavior to the space occupier whose corresponding static time of book reading action exceeds the allowed occupation time.

[0046] The present invention monitors the reviewer's book reading actions to identify the reviewer's action trend information, and can predict the reviewer's possible behavior trajectory, such as whether there is book damage, whether there is space encroachment during the hot sale period, and provide a time window for subsequent communication and intervention. Once the reviewer is identified as likely to damage the book or occupy space, the system can immediately trigger the early warning mechanism to remind relevant staff to communicate and intervene in time, which helps to stop the behavior in the early stage and reduce losses and adverse effects. At the same time, based on the flow of people during the hot sale period, it is judged whether the reviewer has space encroachment during the hot sale period, which helps to maintain the order of the event site and ensure the orderly progress of the promotional activities.

[0047] The crowd emergency trigger module is used to obtain the daily average number of readers within each time limit at each key location pre-stored in the community borrowing point, and execute the crowd early warning unit.

[0048] In a preferred embodiment, the content of the crowd flow warning unit includes: setting traffic activity warning indicators and customer cable solicitation warning indicators at each key location.

[0049] It should be noted that the traffic activity warning indicator and customer cable attraction warning indicator of each key location are set in the following way: obtain the average number of readers per day in each time limit of each key location pre-stored in the community borrowing point, filter out the maximum number of readers Q[i] per day in each key location, and obtain the preset number of permitted occupancy of each key location. Combined with the promotion strength P[ij] of each book in each key position, set the traffic activity warning indicator for each key position Where Q′ is the reference number of readers at the preset key position, n is the number of books at the key position, and e is a natural constant.

[0050] Multiply the promotion intensity of each book in each key position by the preset unit promotion intensity corresponding activity income to obtain the activity expected income Y[ij] of each book in each key position, and take the corresponding minimum value of the average number of readers in each time limit of each key position pre-stored in the community borrowing point Set up early warning indicators for customer cable recruitment at key locations accordingly Where Y 0 Indicates the preset reference benefit of the activity.

[0051] Evaluate the borrowing activity index of each key location, and compare the borrowing activity index of each key location with the flow activity warning index of the corresponding key location. When the borrowing activity index of a key location exceeds the flow activity warning index of the corresponding key location, it means that the actual flow of people at the key location of the community borrowing point exceeds the preset occupancy license number of the key location, and then perform activity restriction broadcast reminders on the key location where the borrowing activity index exceeds the flow activity warning index, and compare the borrowing activity index of each key location with the customer solicitation warning index of the corresponding key location. When the borrowing activity index of a key location is lower than the flow activity warning index of the corresponding key location, it means that the actual flow of people at the key location of the community borrowing point has not reached the expected state, and then perform activity solicitation broadcast reminders on the key location where the borrowing activity index is lower than the customer solicitation warning index.

[0052] In a further preferred embodiment, the evaluation of the borrowing activity index of each key location is specifically as follows: extracting the actual number of readers at each key location within the current time limit from the activity video of each key location at the community borrowing point, and obtaining the daily average number of readers at each key location within each time limit pre-stored at the community borrowing point, extracting the daily average number of readers at each key location within the current time limit, and comparing the current time limit with the activity time to which the promotional activity information of the community borrowing point belongs; if the current time limit is within the activity time to which the promotional activity information of the community borrowing point belongs, then comparing the actual number of readers at each key location within the current time limit with the daily average number of readers at the corresponding key location within the current time limit, and the ratio obtained is the full load rate θ of the flow of people at each key location within the current time limit i ′, if the current time limit is outside the activity time of the promotional activity information of the community borrowing point, then θ i ″=θ i ′*ξ is taken as the full load rate of the flow of people at each key position within the current time limit, and the full load rate of the flow of people at each key position within the current time limit is obtained. i ,θi =θ′ i or θ′ i ′, ξ is the preset human flow full load rate reduction factor, and the human flow full load rate θ of each key location within the specified monitoring time limit is identified in this way if , compare and determine the traffic loss rate of each key location Where θ i(f+1) represents the passenger flow rate at the i-th key location within the specified f-th monitoring time limit, θ 0 Indicates the preset reference reduction corresponding to the full load rate of the key location within two monitoring time limits, f represents the corresponding number of each specified monitoring time limit, f = 1, 2, ..., z, z represents the number of specified monitoring time limits, and then evaluates the borrowing activity index of each key location

[0053] The present invention sets traffic activity warning indicators and customer solicitation warning indicators for each key location to determine whether to execute activity restriction broadcast reminders and activity solicitation broadcast reminders for the key locations. During peak traffic periods, activity restriction broadcast reminders can effectively guide customer diversion, avoid excessive crowding, and enhance customers' shopping or visiting experience. During low traffic periods or when there are few customers in a specific area, activity solicitation broadcast reminders can be used to attract customers, increase interaction and participation, and improve customer satisfaction.

[0054] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A public place management platform based on video surveillance and emergency broadcasting, characterized in that: include: The video capture module is used to extract the activity videos of each key position of the community borrowing point, capture the dynamic images of each person at each key position, and number each key position ; The borrowing activity identification module is used to extract the promotional activity information of community borrowing points and analyze the promotion trend of each book in each key location; The book column monitoring module is used to identify the arrangement of bookshelves at key locations, obtain book borrowing records, and execute the book column early warning unit; The behavior framework identification module is used to obtain the reviewer, analyze the reviewer's behavior framework, and execute the personnel behavior warning unit; The crowd emergency trigger module is used to obtain the daily average number of readers within each time limit at each key location pre-stored in the community borrowing point, and execute the crowd early warning unit; The content of the traffic warning unit includes: setting traffic activity warning indicators and customer cable solicitation warning indicators at each key location; Evaluate the borrowing activity index of each key location, and then implement activity restriction broadcast reminder for key locations where the borrowing activity index exceeds the traffic activity warning index, and implement activity solicitation broadcast reminder for key locations where the borrowing activity index is lower than the customer solicitation warning index; The evaluation of the borrowing activity index of each key location is specifically as follows: extracting the actual number of readers at each key location within the current time limit from the activity video of each key location at the community borrowing point, and obtaining the daily average number of readers at each key location within each time limit pre-stored at the community borrowing point, extracting the daily average number of readers at each key location within the current time limit, and determining the full load rate of the flow of people at each key location within the current time limit In this way, the full load rate of the flow of people at each key location within the specified monitoring time limit is identified, and the flow loss rate of people at each key location is determined by comparing them with each other. , and then evaluate the borrowing activity indicators of each key location , where e is a natural constant.

2. A public place management platform based on video surveillance and emergency broadcasting according to claim 1, characterized in that: The promotional activity information of the community lending point includes activity time and activity content, wherein the activity content is the promotion intensity of each book belonging to each key location.

3. A public place management platform based on video surveillance and emergency broadcasting according to claim 2, characterized in that: The method for obtaining the promotion trend of each book at each key position is as follows: obtaining the traffic dissemination heat of each book at each key position , is the book number, ; Extract the promotion strength of each book in each key position , based on which the promotion trend of each book in each key position is determined ,in They are the preset benchmark reference traffic dissemination heat and benchmark reference promotion intensity respectively.

4. A public place management platform based on video surveillance and emergency broadcasting according to claim 1, characterized in that: The book row monitoring module includes: extracting bookshelf arrangement images belonging to each key position from the activity video of each key position of the community borrowing point, comparing it with the pre-stored complete state map, and identifying each empty area and each area to be regularized belonging to each key position; According to the preset judgment model, it is judged whether to send the areas to be regulated and the empty areas belonging to the key positions to the book column warning unit; The number of each empty space area belonging to each key position is obtained from the bookshelf arrangement image belonging to each key position, and the number of each borrowed book belonging to each key position is extracted from the book borrowing record, and they are compared. If the book number of a certain empty space area belonging to a key position does not match the number of each borrowed book belonging to the key position, the empty space area belonging to the key position is marked as a review area; Monitor the corresponding number of books read by each person at each key position, and match them with the corresponding book number of the review area. If the corresponding number of books read by a person at a key position matches the corresponding book number of the review area, mark the person at the key position as a reviewer and identify the reviewer's behavioral structure.

5. A public place management platform based on video surveillance and emergency broadcasting according to claim 4, characterized in that: The judgment of whether to send the areas to be regulated and the empty areas belonging to the key positions to the book row warning unit includes: extracting the promotion trend of the books corresponding to the empty areas belonging to the key positions from the promotion trend of the books belonging to the key positions, and extracting the maximum promotion strength of the books corresponding to the key positions from the promotion strength of the books belonging to the key positions. , and obtain the actual reading flow within the monitoring range of the key locations of each empty area from the activity videos of each key location of the community borrowing point , determine the promotion warning score of each vacant area belonging to each key position , where For the preset reference reading flow, It indicates that the promotion trend of the corresponding books in each empty area of ​​each key position is active. It indicates that the promotion trend of the corresponding books in each empty area of ​​each key position is a stable trend. The preset score values ​​for the promotion trend of the vacant area are active and stable. , is the number of the empty area, ; Determine whether to send each empty area belonging to each key position to the book column warning unit , where It represents the preset vacant area replenishment demand response promotion warning score benchmark indicator. In the same way, it is determined whether the areas to be regulated belonging to each key position are sent to the book column warning unit.

6. A public place management platform based on video surveillance and emergency broadcasting according to claim 4, characterized in that: The specific content of the book column warning unit is: reminding the staff to organize the books in each area to be organized, and reminding the staff to replenish the books in each empty area.

7. A public place management platform based on video surveillance and emergency broadcasting according to claim 1, characterized in that: The behavior framework includes action trend information and identity composition information, wherein the action trend information includes book reading action and space occupation action, and the identity composition information includes appearance and body contour, age group, and gender composition; The motion trend information recognition process is as follows: using image recognition technology to monitor the reviewer's book reading action from the dynamic images of each person at each key position, and comparing it with the preset book damage actions. When the reviewer's book reading action matches a certain book damage action, the reviewer is recorded as a target person; Using image recognition technology, the static duration of the book reading action of the reviewer is monitored from the dynamic images of each person at each key position, and compared with the preset benchmark static duration. When it exceeds the preset benchmark static duration, the reviewer is recorded as a space-occupying person, and the static duration of the book reading action of the space-occupying person is obtained; The identity composition information of the target personnel and the space occupiers is identified from the dynamic images of the personnel at each key position, and sent to the personnel behavior warning unit.

8. A public place management platform based on video surveillance and emergency broadcasting as described in claim 7, characterized in that: The specific content of the personnel behavior warning unit is: reminding the staff to communicate with the target personnel about the book damaging behavior, and obtaining the key position of the space occupier, detecting the invasion action warning score of the key position of the space occupier, multiplying it with the preset unit invasion action warning score corresponding to the allowed invasion time, and obtaining the allowed invasion time of the space occupier, and then comparing it with the corresponding static time of the book reading action of the space occupier, and communicating the space invasion behavior to the space occupier whose corresponding static time of the book reading action exceeds the allowed invasion time.

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