CN116817931B - BIM-based reservation navigation system - Google Patents
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to a BIM-based reservation navigation system, belongs to the technical field of building reservation navigation, and solves the problem of low accuracy of the prior art on the recommendation navigation of a reservation person preference target. The technical scheme of the invention mainly comprises the following steps: the system comprises a registration module, a storage module, a target recommendation module, a target state recording module, a reading module and an action navigation module; the registration module is used for acquiring reservation information and storing the reservation information in the storage module, wherein the reservation information comprises reservation information and preference information; the target state recording module is used for storing reservation target state records corresponding to the reservation information, and the target recommending module generates a recommending target according to the preference information so that the recommending target accords with at least one item of the preference information; the reading module is used for acquiring the reservation information, calling the recommended target according to the reservation information and sending the recommended target to the action navigation module, and the action navigation module is configured to display a navigation route reaching the recommended target based on the BIM model.
Description
Technical Field
The invention belongs to the technical field of building reservation navigation, and particularly relates to a BIM-based reservation navigation system.
Background
There are many indoor navigation methods, techniques and products on the market at present, but there is a common problem that the consideration on the aspect of customizing the requirements of navigation users is insufficient, and the existing products are difficult to provide the optimal guidance in real time in combination with the special requirements of users and the specific conditions in the navigation coverage area.
Disclosure of Invention
In view of the above analysis, an embodiment of the present invention is directed to providing a reservation navigation system based on BIM (Building Information Modeling, building information model) for solving the problem of low accuracy of target recommendation navigation for reservation preference in the prior art, including: the system comprises a registration module, a storage module, a target recommendation module, a target state recording module, a reading module and an action navigation module;
the registration module is in communication connection with the storage module and is used for acquiring reservation information and storing the reservation information in the storage module, wherein the reservation information comprises reservation person information and preference information;
the target state recording module is used for storing reservation target state records corresponding to reservation information, and the target recommending module generates a recommending target according to the preference information so that the recommending target accords with at least one item of the preference information;
the reading module is used for acquiring the appointment information, calling the recommended target according to the appointment information and sending the recommended target to the action navigation module, and the action navigation module is configured to display a navigation route reaching the recommended target based on a BIM model.
In some embodiments, the reservation navigation system is used for reservation of library seats, the reservation information comprises arrival time period and reservation face information, the reservation target comprises library seats, and the target state recording module is configured to record the seat state corresponding to the recommendation target in the target state recording module as occupied when the recommendation target is generated;
the target state recording module is configured to record the seat state of the recommended target as idle if the reading module does not acquire the face information of the subscriber within the arrival time period; and
if the reading module acquires the face information of the subscriber after the arrival time period, and if the seat state record of the recommended target is idle, displaying a navigation route reaching the recommended target through the action navigation module; or if the seat state record is 'occupied', generating a second recommended target through the target recommending module and displaying a navigation route through the action navigation module.
In some embodiments, each reservation target in the target state recording module has a number of preference tags, including a positive tag and a negative tag;
the target recommendation module generates a recommendation target according to the preference information, and the method comprises the following steps:
recommendation scoring is carried out according to preference information selected by a subscriber and preference labels of the reservation targets, wherein the recommendation scoring comprises scoring basic recommendation scores of the reservation targets if each preference information has positive labels of the reservation targets, and scoring basic recommendation scores of the reservation targets if each preference information has negative preference labels of the reservation targets;
and selecting the reservation target with the highest basic recommendation score as the recommendation target.
In some embodiments, the target recommendation module generates a recommendation target according to the preference information, further comprising:
assigning a higher-order recommendation coefficient according to the selected times and the replaced times of the reservation target history, wherein the higher-order recommendation coefficient= (selected times-replaced times-1) is 0.1;
calculating a composite recommendation score from the higher-order recommendation coefficient and the base recommendation score, the composite recommendation score = base recommendation score (1+ higher-order recommendation coefficient);
and the target state recording module records the high-order recommendation coefficient of the reservation target and selects the reservation target with the highest comprehensive recommendation score as the recommendation target.
In some embodiments, the reservation navigation system is for a exhibition hall exhibition tour reservation, the reservation target comprises an exhibition tour, and the preference information comprises exhibition hall selection data and exhibition hall expected exhibition time;
the target recommendation module obtains a recommended observation route according to the exhibition hall selection data and the number of people observing at each time interval of the exhibition hall, the recommended observation route comprises an exhibition hall visit sequence and an exhibition hall recommended residence time interval, the reading module calls the recommended observation route and sends the recommended observation route to the action navigation module after obtaining the reservation information, and the action navigation module displays the observation route based on the BIM model;
and when the recommended viewing route is selected by a subscriber, the target state recording module accumulates the number of the viewers in the corresponding residence time period of the exhibition hall contained in the recommended viewing route.
In some embodiments, the target recommendation module obtains a recommended viewing route according to the exhibition hall selection data and the number of viewers in each period of the exhibition hall, including:
generating a predicted exhibition route according to different sequence combinations of the exhibition hall selection data;
determining the average value and variance of the exhibition hall population on the expected exhibition route according to the expected exhibition time of the exhibition hall and the exhibition population of each period of the exhibition hall;
and determining the recommended scores of the observing routes according to the average value and the variance, and selecting the observing route with the highest recommended score as the recommended observing route.
In some embodiments, the target recommendation module is configured to determine, when the reading module obtains the subscriber information, whether the recommended viewing route is the highest in recommendation score according to the number of people in each period of the current exhibition hall, if yes, send the recommended viewing route to the action navigation module for route display, otherwise determine whether to replace the recommended viewing route to the subscriber, and if yes, regenerate the recommended viewing route according to the number of people in each period of the current exhibition hall through the target recommendation module.
In some embodiments, the appointment navigation system is used for queuing and appointment of physical examination items, the appointment information comprises appointment physical examination numbers, the appointment targets comprise physical examination item queuing selections, and the preference information comprises physical examination items to be checked contained in physical examination packages;
the target recommending module is used for acquiring recommended queuing items according to the to-be-checked items and queuing numbers of the to-be-checked items, the target state recording module is used for recording the queuing numbers of the to-be-checked items, and the reading module is used for reading the check-up items selected to be queued by a reservation person and adding the check-up numbers into a queuing sequence through the target state recording module.
In some embodiments, the target recommending module obtains a recommended queuing item according to the to-be-checked item and the queuing number of the to-be-checked item, including:
acquiring a preset average waiting time length of the to-be-detected items;
obtaining a current waiting time according to the queuing number, the preset average waiting time and the current time of the to-be-checked item, wherein the current waiting time=queuing number is the preset average waiting time+the current time;
obtaining a waiting difference percentage according to the current waiting time and the preset average waiting time, wherein the waiting difference percentage is = (preset average waiting time-current waiting time)/preset average waiting time;
and selecting the item with the largest difference percentage to be checked as the recommended queuing item.
In some embodiments, after the recommended queuing item is completed, deleting the recommended queuing item from the items to be checked by the target state recording module, and regenerating the recommended queuing item by the target recommending module according to the updated items to be checked and the updated queuing number of the items to be checked until all the items to be checked in the preference information are completed.
According to the method, the reservation information is acquired through the registration module, the reservation information is verified through the reading module, then the recommendation target decision is made through interaction of the target recommendation module and the target state recording module, so that the building has accurate action guidance according to the purpose and preference of the reservation, the guidance path is visualized through the BIM model, and the use experience of the reservation is improved. And can be applied to reserved use in different scenarios.
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In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present description, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic diagram of a subscription navigation system architecture based on BIM according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. It should be noted that embodiments and features of embodiments in the present disclosure may be combined, separated, interchanged, and/or rearranged with one another without conflict. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, when the terms "comprises" and/or "comprising," and variations thereof, are used in the present specification, the presence of stated features, integers, steps, operations, elements, components, and/or groups thereof is described, but the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. It is also noted that, as used herein, the terms "substantially," "about," and other similar terms are used as approximation terms and not as degree terms, and as such, are used to explain the inherent deviations of measured, calculated, and/or provided values that would be recognized by one of ordinary skill in the art.
The following describes the BIM-based reservation navigation system provided by the embodiment of the invention through a specific embodiment. Referring to fig. 1, the present invention is directed to a BIM-based reservation navigation system for solving the problem of low accuracy of building-to-reservation-preference-target recommendation navigation in the prior art, including: the system comprises a ranking module 10, a storage module 20, a target recommendation module 40, a target state recording module 50, a reading module 30 and an action navigation module 60;
the registration module is in communication connection with the storage module 20, and is configured to acquire reservation information and store the reservation information in the storage module 20, where the reservation information includes reservation information and preference information;
the target state recording module 50 is configured to store a reservation target state record corresponding to reservation information, and the target recommending module 40 generates a recommended target according to the preference information, so that the recommended target accords with at least one item of the preference information;
the reading module 30 is configured to obtain the subscriber information, retrieve the recommended target according to the subscriber information, and send the retrieved recommended target to the action navigation module 60, and the action navigation module 60 is configured to display a navigation route reaching the recommended target based on a BIM model.
The invention relates to the technical fields of Building Information Model (BIM), intelligent building, internet of things and artificial intelligence, comprising the following steps: a user information level module 10 for inputting face information and personal preference information; face information and personal preference data transmitted from the user information ranking module 10 are parsed, and a course of action of a recommended target of the user is planned on the action navigation module 60 based on the BIM three-dimensional model according to an artificial intelligence algorithm. Deploying a judgment strategy of a user recommendation target; the action navigation module 60 performs three-dimensional visualization (taking the BIM model as a visual carrier) navigation on the action targets and routes of the user through the large screen end and the mobile phone under different application scenes by combining various external conditions (personal preference condition, space occupation condition, personnel density condition, multiplexing memory condition and the like).
In some embodiments, the reservation navigation system is used for library seat reservation, the reservation information includes arrival time period and reservation face information, the reservation target includes library seats, and the target state recording module 50 is configured to record the seat state corresponding to the recommendation target in the target state recording module 50 as "occupied" when the recommendation target is generated;
the target state recording module 50 is configured to record the seat state of the recommended target as "idle" if the reading module 30 does not acquire the subscriber face information within the arrival time period; and
if the reading module 30 acquires the face information of the subscriber after the arrival time period, and if the seat status record of the recommended target is "idle", displaying a navigation route to the recommended target by the action navigation module 60; or if the seating status is recorded as "occupied," a second recommended target is generated by the target recommendation module 40 and a navigation route is displayed by the action navigation module 60.
In some embodiments, each reservation target in the target state recording module 50 has a number of preference tags, including a positive tag and a negative tag;
the target recommendation module 40 generates a recommendation target according to the preference information, including:
recommendation scoring is carried out according to preference information selected by a subscriber and preference labels of the reservation targets, wherein the recommendation scoring comprises scoring basic recommendation scores of the reservation targets if each preference information has positive labels of the reservation targets, and scoring basic recommendation scores of the reservation targets if each preference information has negative preference labels of the reservation targets;
and selecting the reservation target with the highest basic recommendation score as the recommendation target.
In some embodiments, the target recommendation module 40 generates a recommendation target according to the preference information, and further includes:
assigning a higher-order recommendation coefficient according to the selected times and the replaced times of the reservation target history, wherein the higher-order recommendation coefficient= (selected times-replaced times-1) is 0.1;
calculating a composite recommendation score from the higher-order recommendation coefficient and the base recommendation score, the composite recommendation score = base recommendation score (1+ higher-order recommendation coefficient);
the goal state recording module 50 records the higher-order recommendation coefficients of the reservation goals and selects the reservation goal with the highest comprehensive recommendation score as the recommendation goal.
Specifically, for example, each reservation target, i.e., library seating model, is generated while having a number of tags, each tag corresponding to a score of +1 or-1. The basic scores of all reservation targets are preset to be 0, and +1 score is given to each positive label (the score corresponding to each label can be set by a background management system specifically) and-1 score is given to each negative label (the score corresponding to each label can be set by the background management system specifically). A reservation target having a front label comprising: A. leaning on window, b. privacy (the open area opposite to it is also a positive label), c. moderate body temperature (the body temperature opposite to it is colder, the heat is also a positive label), d. southward (east, north are also positive labels, west is positive label in the morning, afternoon is negative label after 3:00), etc.; negative labels carried by it include: E. the upper part is right at an air vent (discomfort in body feeling), an F.glaring area, an G.nearby personnel activity area (such as a study room gate, personnel access influence concentration), an H.nearby equipment room (noise influence) and the like. If the front label of a reservation target includes A, B, C; the negative labels include F, then the base score that this seat initially was given by the system is: 0+3-1=2, and so on, all reservation targets in the library can get a base score in this logic. When the system recommends the reservation target according to the preference of the visitor for the first time, the reservation target is recommended to the visitor from high to low priority according to the height of the basic score on the premise of conforming to the preference selection. Ensuring that the pre-reserved visitor can choose a reservation target that is more optimal in terms of all. When a reservation target is used and a visitor initiates a reservation target change, the reservation target generates a 10% down-regulation based on the current value on the basis of the basic value, for example, 3 is changed into 3 (100% -10%) =2.7, and the name of the value is called a higher-order value; conversely, when the visitor plans to get to the library for the second time, and makes a reservation in advance, the system will preferentially recommend the last reservation target she has selected or changed, asking whether to continue to select the reservation target for reservation, if the visitor agrees, the higher-order score will produce a 10% up-regulation based on the current value, such as 3 to 3 (100% +10%) =3.3. The underlying score of each reservation target eventually becomes a higher order score as time passes. The system uses the ranking of the high-order scores as the basis of the final reservation target recommendation priority. Thereby achieving the aim of intelligent algorithm analysis based on big data.
In some embodiments of library usage scenarios, the use of the reservation navigation system includes the following process:
s1.1, the reservation step is completed by the user (i.e. subscriber) information level module 10. Enter face information of the user and preference information, such as arrival time period? Is the purpose to learn about reading? Is the preference for private space or open area? Is a window required? Is the somatosensory optimum temperature preference cold or hot? Etc. After the input is completed, 3-5 recommended targets of a plurality of target areas are popped up by the target recommendation module 40 for the user to select, and after the user selects successfully, the target point is marked as an occupied state of a corresponding period in the system.
1.2, finishing the reservation step, and after the reservation is finished, dividing the user into the following two cases after arriving at the library:
s1.2.1, if a user arrives at the library according to the reserved time period requirement, the reading module 30 scans the face, and then the action route arriving at the recommended target is highlighted on the screen based on the BIM three-dimensional model, so that the user can directly go to the library.
S1.2.2 if the user does not meet the reservation time period (more than 10 minutes later, the "occupied" state of the reserved target point is changed to "idle") requirement, the user is prompted to guide the next operation on the screen after the reading module 30 scans the face, and the two situations are divided:
s1.2.2.1 if the target point that has been turned to the "idle" state has not been reserved by others, then the screen prompts the user "available for reservation target point before, is reservation continued? The user selects to continue, namely, the user can continue to go to the target point according to the highlight prompt of the BIM model;
s1.2.2.2 if the target point switched to the "idle" state has been reserved by others, the screen prompts the user that the "previous reserved target point unavailable" system will recommend new target points according to the preference settings for the user in preference to the currently remaining "idle" target points (according to the number of preference satisfaction, if there are 5 preferences, 5 are positively recommended to be satisfied, no 5 are recommended to be satisfied, 4 are recommended to be satisfied, and so on.)
S1.3, if the user wants to change the target point due to some external environmental influences (glare, actual body temperature, air circulation and the like) during the use of the target point, the target point can be changed in the system, and the reservation step of S1.1 and the forward step of S1.2.1 are repeated. It should be noted that, before the modification is completed, the system pops up a window, collects the modification reasons of the users by checking, forms a usage modification habit library dedicated to the users in the background by the target state recording module 50, and learns and memorizes the habit preference of each user.
S1.4, if the user uses the system to reserve the library more than once, the system can select the content according to the preference of the user and conduct the exclusion by combining the content of the habit changing library, so that more accurate target point recommendation is given, and the repeated memorization and repeated recommendation are not simple.
Preferably, in some embodiments, a situation may occur in S1.1, when the user inputs the usage preference, and the target points of all the preferences have not been met in the current period, the system may preferentially recommend the target points of all the preferences for other periods, and if the user does not receive other periods, the system may recommend the target points of a greater number of the preferences to be met for the user to select in the selected period. (5 satisfied has not been yet, 4 satisfied will be recommended preferentially, 4 satisfied will not be yet, 3 satisfied will be recommended, and so on.)
In some embodiments, the reservation navigation system is for a exhibition hall exhibition tour reservation, the reservation target comprises an exhibition tour, and the preference information comprises exhibition hall selection data and exhibition hall expected exhibition time;
the target recommending module 40 obtains a recommended exhibition route according to the exhibition hall selection data and the exhibition number of the exhibition hall in each period, the recommended exhibition route comprises the exhibition hall visit sequence and the exhibition hall recommended residence time period, the reading module 30 calls the recommended exhibition route after obtaining the reservation information and sends the recommended exhibition route to the action navigation module 60, and the action navigation module 60 displays the exhibition route based on the BIM model;
when the recommended viewing route is selected by a subscriber, the target state recording module 50 accumulates the number of people viewing the corresponding residence time period of the exhibition hall included in the recommended viewing route.
In some embodiments, the target recommendation module 40 obtains a recommended viewing route according to the exhibition selection data and the number of viewers at each time period of the exhibition, including:
generating a predicted exhibition route according to different sequence combinations of the exhibition hall selection data;
determining the average value and variance of the exhibition hall population on the expected exhibition route according to the expected exhibition time of the exhibition hall and the exhibition population of each period of the exhibition hall;
and determining the recommended scores of the observing routes according to the average value and the variance, and selecting the observing route with the highest recommended score as the recommended observing route.
In some embodiments, the target recommendation module 40 is configured to determine, when the reading module 30 obtains the subscriber information, whether the recommended viewing route is the highest in recommendation score according to the number of people in each period of the current exhibition hall, if yes, send the recommended viewing route to the action navigation module 60 for route display, otherwise determine whether to replace the recommended viewing route to the subscriber, and if yes, regenerate the recommended viewing route according to the number of people in each period of the current exhibition hall through the target recommendation module 40.
In some embodiments of the exhibition hall use scenario, the use of the reservation navigation system includes the following process:
s2.1, completing the reservation step through the grade module 10. Entering face information of the user and preference data, such as a period of time of the viewing? Is the exhibition Chen Leixing preference? Expected show time? Is there a luggage storage requirement? Etc. After the input is finished, the system pops up 2-3 different observation routes for the user to select based on the BIM three-dimensional model, each route is briefly described and has a focus, the residence time is suggested by the exhibition hall on the route, and the route is saved in the system after the user successfully selects the matching reason of the route and the preference selection.
S2.2, after reservation is completed, the user goes to the exhibition hall, the user action navigation module 60 scans the face of the user, the stored route information in the system is called, the reasonability of the stored route in S2.1 is reevaluated by combining the real-time monitoring result of the personnel density detection camera, and two conditions are generated:
s2.2.1 after system evaluation, the saved route in S2.1 is still the current optimal route for observation, and the user can visit according to the highlight route prompt of the BIM three-dimensional model.
S2.2.2 after the system evaluation, it is determined that the saved route in S2.1 is not the current optimal route, and then the system will quickly analyze the current optimal route under people' S current density and prompt the user in a pop-up window manner to "whether to replace the more optimal route? "there are two possibilities:
s2.2.2.1 user selects "no", i.e. the saved route in S2.1 is not replaced, then 2.2.1 can be directly executed
S2.2.2.2 the user selects "yes", i.e. the saved route in S2.1 is replaced, and the BIM three-dimensional model highlights the route, i.e. the user is prompted to go to the viewing according to the new route.
Preferably, in some embodiments, route recommendations are based on a recommendation hierarchy of manual base settings and big data intelligent algorithm analysis. The method comprises the following steps:
in the initial stage of system operation, because big data is not accumulated, the route recommendation given by the system is completely based on the selection of the front section preference of the visitor, and the recommendation is performed according to the optimal route of the space orientation. However, with the arrival of visitors and the different exhibition intensity (the number of people in the exhibition hall) of each exhibition hall on site, the route is continuously corrected in the exhibition process, better route selection is given for the visitors, and the recommendation and the change data of the route are stored and memorized in a database at the rear end; the system is also memorized by the database, and the number of observers in each exhibition hall at different time is changed, and the data can reflect which exhibition halls are liked by more visitors from the side, so that the exhibition halls which are worth looking at all are recommended preferentially in the route presetting.
With the continuous use of the system, after enough route change data, different time points, the number of people in different exhibition halls, the exhibition residence time of each exhibition hall and the like are accumulated, the system can form an intelligent algorithm on the background of the system according to the recommended times of a certain route, and the optimal route is recommended according to the logic from more to less recommended times on the premise of meeting the observation preference of visitors.
In some embodiments, the appointment navigation system is used for queuing and appointment of physical examination items, the appointment information comprises appointment physical examination numbers, the appointment targets comprise physical examination item queuing selections, and the preference information comprises physical examination items to be checked contained in physical examination packages;
the target recommending module 40 obtains recommended queuing items according to the to-be-checked items and queuing numbers of the to-be-checked items, the target state recording module 50 is used for recording the queuing numbers of the to-be-checked items, and the reading module 30 is used for reading the check-up items selected to be queued by a reservation person and adding the check-up numbers into a queuing sequence through the target state recording module 50.
In some embodiments, the target recommendation module 40 obtains a recommended queuing item according to the to-be-checked item and the number of queuing people for the to-be-checked item, including:
acquiring a preset average waiting time length of the to-be-detected items;
obtaining a current waiting time according to the queuing number, the preset average waiting time and the current time of the to-be-checked item, wherein the current waiting time=queuing number is the preset average waiting time+the current time;
obtaining a waiting difference percentage according to the current waiting time and the preset average waiting time, wherein the waiting difference percentage is = (preset average waiting time-current waiting time)/preset average waiting time;
and selecting the item with the largest difference percentage to be checked as the recommended queuing item.
Specifically, in some embodiments, recommendation of queued items is based on a recommendation system of manual base settings and big data intelligent algorithm analysis. For example, the following are possible:
before the system formally operates, a basic setting is made on the average waiting time of all physical examination items in a background management system. Such as: vision inspection waiting time is 5min; waiting time for blood sampling is 5min; waiting for color ultrasonic for 10min; the waiting time of B ultrasonic is 20min, etc. Taking a first physical examination personnel visit of the first operation as an example at the initial stage of the system starting operation, after the physical examination personnel arrive, the system preferentially recommends an item with the longest time waiting time in the physical examination personnel package as a first target point according to the average waiting time. Such as: the time of all items of the physical examination personnel is the longest B ultrasonic, and then the physical examination personnel is recommended to firstly make B ultrasonic; as more and more physical examination personnel come, the system calculates the percentage difference between the current waiting time and the average waiting time of all items for the first individual examination item after each person comes, and does not simply allocate the target point according to the shortest time. Such as: the physical examination personnel package contains eyesight, blood sampling, B ultrasonic and color ultrasonic, and the current waiting time of the four items is respectively: 4min for vision, 3min for blood sampling, 10min for B ultrasonic and 20min for color ultrasonic. So they correspond to a percentage difference of vision=5 (average) -4 (current)/4=25%, respectively; blood sampling = 5 (average) -3 (current)/5 = 40%; b-ultrasound=20 (average) -10 (current)/20=50%; color Doppler ultrasound=10 (average) -20 (current)/10= -100%. The larger the difference percentage, the more time is saved, and therefore the system will assign the next target point in the order of the difference percentage from high to low. If the percentage difference is the same, the system will preferentially allocate items with longer waiting times as target points. Such as: the percentage difference between blood collection and color Doppler ultrasound calculation is 50%, and then the system can distribute color Doppler ultrasound as the next target point. Along with the continuous use of the system, the average waiting time length data of each item is updated continuously, the system does not recommend an overall route, the difference percentage of all the remaining items is recalculated after one target point is finished according to the physical examination number, and then the next target point recommendation is carried out until all physical examination items are finished.
In some embodiments, after the recommended queuing item is completed, the recommended queuing item is deleted from the to-be-checked items through the target state recording module 50, and the target recommending module 40 regenerates the recommended queuing item according to the updated to-be-checked items and the updated queuing number of the to-be-checked items until all to-be-checked items in the preference information are completed.
Preferably, in some specific embodiments of the physical examination queuing reservation use scenario, the use of the reservation navigation system includes the following process:
and S3.1, completing the reservation step through the user information grade module 10. Entering face information of the user and preference data, including for example, a physical examination period? What is a physical examination package? Is there a self-fare item? Etc. After the input is finished, the system gives out physical examination prompts related to the selected content, such as: longer waiting time items include a long waiting time item, whether a fasting state is needed, estimated physical examination duration and the like. In addition, the system can generate a body test number for the user, and the number can be used as the unique basis for queuing and calling on the physical examination site.
S3.2, after the reservation is completed, the user arrives at the physical examination center, the user action navigation module 60 scans the face of the user, and the relevant information recorded in the system is called, so that the current queuing suggestion is given by combining the current queuing number condition of each physical examination department, and the user is guided to go to the target point in a BIM three-dimensional model route highlighting mode.
S3.3, when the user queues up in the navigation target point physical examination item A, the following two cases can occur:
s3.3.1, the user queues the physical examination item A according to the system arrangement, and the physical examination number of the user enters a queuing sequence of the item A, and the queuing sequence is displayed at a physical examination department gate in a mode of moving a flat visual terminal. When the user checks, the mobile tablet broadcasts a call number, the user enters a department to check the item A, and after the check is completed, the system marks the user on a service background to mark the completed item A so as to exclude the completed physical examination item in the follow-up intelligent queuing judgment. According to the situation, after the inspection of the project A is completed, the system can give a current queuing suggestion by combining the current queuing number conditions of all physical examination departments except the project A, and guide a user to a target point in a BIM three-dimensional model route highlighting mode.
S3.3.2 the user does not queue the physical examination item A according to the system arrangement, but goes to check the item B by himself, at this time, the user needs to click on "change the current physical examination item" at the mobile phone end to change the physical examination item A to the item B, at this time, the physical examination number of the user is removed from the queue sequence of the item A and enters the queue sequence of the item B, and the content is updated synchronously on the visual mobile tablet at the gate of the department. When the user checks, the mobile tablet broadcasts a call number, the user enters a department to check the item B, and after the check is completed, the system marks the user on a service background to mark the completed item B so as to exclude the completed physical examination item in the follow-up intelligent queuing judgment. According to the situation, after the inspection of the item B is completed, the system can give a current queuing suggestion by combining the current queuing number of all physical examination departments except the item B, and guide a user to a target point in a BIM three-dimensional model route highlighting mode.
S3.4, the system judgment logic and different conditions mentioned in S3.3 can cover most on-site conditions, and other special conditions are not included in the condition consideration range of the intelligent navigation system.
The embodiment of the reservation navigation system provided by the invention has at least the following beneficial effects:
1. helping the user find the target point most conforming to the personal use preference at the current time in the shortest time.
2. Through the three-dimensional visual positioning and route planning of the BIM, the user is helped to quickly become familiar with the space environment, and the optimal route to the target point is known.
3. Through the face recognition technology and the AI learning capability, the use preference of the spatial personnel repeatedly is learned and memorized, and more efficient and accurate target point positioning and route navigation are formed in the multiplexing scene.
The embodiment of the invention has the capability of coping with the emergency, and can still give a very clear visitor action guiding scheme according to the visitor visit time, visit agenda arrangement, space use state and the like when the receiver is temporarily absent. According to the invention, according to the registration information input condition before the visitor visits, the next walking route and the space target point which are most suitable for the visitor at present can be analyzed and given by combining the sensing judgment of the invited visitor personnel on the station and the meeting reservation condition related to the visitor in the meeting system, and the function design can greatly improve the visiting experience of the visitor. The intelligent system can generate logic interaction with systems such as stations, security, parking, conferences and the like, and tailor-make action route guidance for visitors according to information feedback of sensors and intelligent terminals under different systems.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of function in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A BIM-based subscription navigation system, comprising: the system comprises a registration module, a storage module, a target recommendation module, a target state recording module, a reading module and an action navigation module;
the registration module is in communication connection with the storage module and is used for acquiring reservation information and storing the reservation information in the storage module, wherein the reservation information comprises reservation person information and preference information;
the target state recording module is used for storing reservation target state records corresponding to reservation information, and the target recommending module generates a recommending target according to the preference information so that the recommending target accords with at least one item of the preference information;
the reading module is used for acquiring the appointment information, calling the recommended target according to the appointment information and sending the recommended target to the action navigation module, and the action navigation module is configured to display a navigation route reaching the recommended target based on a BIM model;
each reservation target in the target state recording module is provided with a plurality of preference labels, wherein the preference labels comprise positive labels and negative labels;
the target recommendation module generates a recommendation target according to the preference information, and the method comprises the following steps:
recommendation scoring is carried out according to preference information selected by a subscriber and preference labels of the reservation targets, wherein the recommendation scoring comprises scoring basic recommendation scores of the reservation targets if each preference information has positive labels of the reservation targets, and scoring basic recommendation scores of the reservation targets if each preference information has negative preference labels of the reservation targets;
selecting the reservation target with the highest basic recommendation score as the recommendation target;
the target recommendation module generates a recommendation target according to the preference information, and the method further comprises the following steps:
assigning a higher-order recommendation coefficient according to the selected times and the replaced times of the reservation target history, wherein the higher-order recommendation coefficient= (selected times-replaced times-1) is 0.1;
calculating a composite recommendation score from the higher-order recommendation coefficient and the base recommendation score, the composite recommendation score = base recommendation score (1+ higher-order recommendation coefficient);
and the target state recording module records the high-order recommendation coefficient of the reservation target and selects the reservation target with the highest comprehensive recommendation score as the recommendation target.
2. The BIM-based subscription navigation system of claim 1, wherein: the reservation navigation system is used for reserving library seats, the reservation information comprises an arrival time period and reservation face information, the reservation target comprises library seats, and the target state recording module is configured to record the seat state corresponding to the recommendation target in the target state recording module as occupied when the recommendation target is generated;
the target state recording module is configured to record the seat state of the recommended target as idle if the reading module does not acquire the face information of the subscriber within the arrival time period; and
if the reading module acquires the face information of the subscriber after the arrival time period, and if the seat state record of the recommended target is idle, displaying a navigation route reaching the recommended target through the action navigation module; or if the seat state record is 'occupied', generating a second recommended target through the target recommending module and displaying a navigation route through the action navigation module.
3. The BIM-based subscription navigation system of claim 1, wherein: the reservation navigation system is used for reserving a exhibition route of an exhibition hall, the reservation target comprises the exhibition route, and the preference information comprises exhibition hall selection data and exhibition hall expected exhibition time;
the target recommendation module obtains a recommended observation route according to the exhibition hall selection data and the number of people observing at each time interval of the exhibition hall, the recommended observation route comprises an exhibition hall visit sequence and an exhibition hall recommended residence time interval, the reading module calls the recommended observation route and sends the recommended observation route to the action navigation module after obtaining the reservation information, and the action navigation module displays the observation route based on the BIM model;
and when the recommended viewing route is selected by a subscriber, the target state recording module accumulates the number of the viewers in the corresponding residence time period of the exhibition hall contained in the recommended viewing route.
4. A BIM-based subscription navigation system according to claim 3, wherein: the target recommendation module obtains a recommended exhibition route according to the exhibition hall selection data and the exhibition population of each period of the exhibition hall, and the method comprises the following steps:
generating a predicted exhibition route according to different sequence combinations of the exhibition hall selection data;
determining the average value and variance of the exhibition hall population on the expected exhibition route according to the expected exhibition time of the exhibition hall and the exhibition population of each period of the exhibition hall;
and determining the recommended scores of the observing routes according to the average value and the variance, and selecting the observing route with the highest recommended score as the recommended observing route.
5. The BIM-based subscription navigation system of claim 4, wherein: the target recommendation module is configured to judge whether the recommended observing route is the highest in recommending score according to the observing people in each period of the current exhibition hall when the reading module obtains the information of the reservation person, if so, the recommended observing route is sent to the action navigation module for route display, otherwise, whether the recommended observing route is replaced or not is determined to the reservation person, and if so, the recommended observing route is regenerated according to the observing people in each period of the current exhibition hall through the target recommendation module.
6. The BIM-based subscription navigation system of claim 1, wherein: the appointment navigation system is used for queuing and appointment of physical examination items, the appointment information comprises appointment physical examination numbers, the appointment targets comprise physical examination item queuing selections, and the preference information comprises physical examination items to be checked contained in physical examination packages;
the target recommending module is used for acquiring recommended queuing items according to the to-be-checked items and queuing numbers of the to-be-checked items, the target state recording module is used for recording the queuing numbers of the to-be-checked items, and the reading module is used for reading the check-up items selected to be queued by a reservation person and adding the check-up numbers into a queuing sequence through the target state recording module.
7. The BIM-based subscription navigation system of claim 6, wherein: the target recommending module obtains recommended queuing items according to the items to be checked and queuing numbers of the items to be checked, and the target recommending module comprises:
acquiring a preset average waiting time length of the to-be-detected items;
obtaining a current waiting time according to the queuing number, the preset average waiting time and the current time of the to-be-checked item, wherein the current waiting time=queuing number is the preset average waiting time+the current time;
obtaining a waiting difference percentage according to the current waiting time and the preset average waiting time, wherein the waiting difference percentage is = (preset average waiting time-current waiting time)/preset average waiting time;
and selecting the item with the largest difference percentage to be checked as the recommended queuing item.
8. The BIM-based subscription navigation system of claim 7, wherein: and deleting the recommended queuing items from the items to be checked through the target state recording module after the recommended queuing items are completed, and regenerating the recommended queuing items by the target recommending module according to the updated items to be checked and the updated queuing numbers of the items to be checked until all the items to be checked in the preference information are completed.
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| CN114141341A (en) * | 2021-10-19 | 2022-03-04 | 深圳拓邦股份有限公司 | Intelligent physical examination distribution method and physical examination server |
| CN114580719A (en) * | 2022-02-23 | 2022-06-03 | 新之航传媒科技集团有限公司 | Intelligent exhibition hall interaction method and system |
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