Intelligent seat arrangement method based on multi-dimensional linear weighting model

Abstract

The invention discloses an intelligent seat arrangement method based on a multi-dimensional linear weighting model, which is applied to the technical field of seat arrangement systems and comprises the following steps: selecting a corresponding scoring mode based on a data type of pre-configured seat arrangement factors, and constructing a linear weighting seat arrangement model by endowing each seat arrangement factor with a weight; the number of participants is determined, and a seat arrangement table type is selected in combination with the meeting participation type; collecting seat arrangement related information of each participant, and scoring and sorting each participant in combination with a linear weighted seat arrangement model to obtain a score sorting result of each participant; and based on the score sorting result of each participant, carrying out seat sorting according to the seat priority rule of the selected seat arrangement table type. The method has the function of dynamically adding or deleting the seat arrangement factors, and can dynamically adjust the weight of each factor according to the needs, thereby achieving the intelligent seat arrangement, being capable of flexibly adapting to various meeting requirements, and improving the organization efficiency and participating experience of the meeting.

Description

Technical Field

[0001] The present invention relates to the technical field of seat arrangement systems, and more particularly, to an intelligent seat arrangement method based on a multi-dimensional linear weighting model. Background Art

[0002] Existing intelligent seat arrangement methods often only focus on a single dimension, such as job level, seniority, or age, resulting in the inability to take into account multiple important factors in complex situations. This prioritization of a single dimension leads to seat arrangement results that do not meet actual needs and social etiquette. Facing participants with different backgrounds and attributes, existing methods lack flexibility, are difficult to adapt to diverse participant structures, and cannot dynamically adjust strategies to find a more reasonable seat arrangement plan.

[0004] In situations involving multiple institutions, existing intelligent seat arrangement methods often ignore the scale and influence of the institutions, resulting in personnel from important institutions with lower levels being seated in inappropriate positions; existing intelligent seat arrangement methods cannot effectively handle seat arrangements for personnel across institutions and regions, leading to some important participants being overlooked or seated in inappropriate positions; existing intelligent seat arrangement methods lack a comprehensive evaluation of personal information (such as job and seniority) and institutional information (such as scale and influence), and cannot comprehensively measure the importance of participants, thus failing to obtain an optimal seat arrangement plan.

[0005] Therefore, there is a need to develop an intelligent seat arrangement system that comprehensively considers multi-dimensional information, can flexibly adjust strategies, and dynamically optimize the seat arrangement plan to adapt to different meeting backgrounds and participant structures.

[0006] In response to the problems in the related art, no effective solutions have been proposed yet. Summary of the Invention

[0007] In order to overcome the above problems, the present invention aims to propose an intelligent seat arrangement method based on a multi-dimensional linear weighting model, aiming to solve the limitations of traditional intelligent seat arrangement.

[0008] To this end, the specific technical solutions adopted by the present invention are as follows:

[0009] An intelligent seat arrangement method based on a multi-dimensional linear weighting model, the method comprising the following steps:

[0010] S1. Select a corresponding scoring method based on the data type of the pre-configured seat arrangement factors, and construct a linear weighted seat arrangement model by assigning weights to each seat arrangement factor;

[0011] S2. Determine the number of participants and select a seat arrangement table type in combination with the type of meeting;

[0012] S3. Collect the seating arrangement related information of each participant, score and rank each participant by combining with the linear weighted seating arrangement model, and obtain the score ranking result of each participant;

[0013] S4. Based on the score ranking result of each participant, conduct seat ranking according to the seat priority rule of the selected seating arrangement table type.

[0014] Optionally, select the corresponding scoring method based on the data type of the pre-configured seating arrangement factor, and construct a linear weighted seating arrangement model by assigning weights to each seating arrangement factor, including the following steps:

[0015] S11. Divide the information of each participant into institutional information and personal information, and configure the corresponding seating arrangement factors according to the institutional information and personal information of each participant;

[0016] S12. Divide the data type of the seating arrangement factor into discrete seating arrangement factors and continuous seating arrangement factors, select the corresponding scoring method according to the data type of the seating arrangement factor, and score the seating arrangement factor by using the selected scoring method to obtain the scoring result;

[0017] S13. Assign weights to each seating arrangement factor according to the focus and requirements of the seating arrangement;

[0018] S14. Integrate the weights and scoring results of each seating arrangement factor to construct a linear weighted seating arrangement model.

[0019] Optionally, divide the data type of the seating arrangement factor into discrete seating arrangement factors and continuous seating arrangement factors, select the corresponding scoring method according to the data type of the seating arrangement factor, and score the seating arrangement factor by using the selected scoring method. The obtained scoring result includes:

[0020] The discrete seating arrangement factor adopts a one-to-one mapping scoring method to map the corresponding data into corresponding scores;

[0021] The continuous seating arrangement factor adopts a piecewise mapping scoring method to map the corresponding data into corresponding scores according to the interval.

[0022] Optionally, determine the number of participants and select the seating arrangement table type in combination with the participation type, including the following steps:

[0023] S21. Determine the number of participants and determine the corresponding number of seats according to the number of participants;

[0024] S22. Determine the participation type according to the application scenario, and select the seating arrangement table type according to the participation type;

[0025] S23. Determine whether the number of seats of the selected seating table type meets the number of people to be seated. If it meets, retain the selected table type; if it does not meet, reselect the seating table type until the number of seats of the seating table type meets the number of people to be seated.

[0026] Optionally, the seating table types include round table types, theater types, U-shaped types, and island types;

[0027] The round table type has seats arranged around one or more round tables;

[0028] The theater type has seats arranged in multiple rows facing forward;

[0029] The U-shaped type has seats arranged in a U shape;

[0030] The island type has seats divided into several groups and arranged around a table.

[0031] Optionally, collect the seating-related information of each participant, and combine the linear weighted seating model to score and rank each participant. The steps for obtaining the score ranking result of each participant are as follows:

[0032] S31. Collect the seating-related information of each participant;

[0033] S32. According to the seating factors in the linear weighted seating model, select the seating factors corresponding to the bottom layer of each participant;

[0034] S33. Based on the seating factors corresponding to the bottom layer of each participant, combine the linear weighted seating model to calculate the final score of each participant;

[0035] S34. Sort the final scores of each participant from high to low to obtain the score ranking result of each participant.

[0036] Optionally, based on the seating factors corresponding to the bottom layer of each participant, combine the linear weighted seating model to calculate the final score of each participant, including the following steps:

[0037] S331. Based on the seating factors corresponding to the bottom layer of each participant, combine the seating factor rules and scoring methods configured in the linear weighted seating model to calculate the bottom layer node scores of each participant;

[0038] S332. Based on the subsequent traversal method, traverse each node in the linear weighted model, and accumulate the child nodes of the same parent node and multiply by the weight of the parent node to obtain the final score of the parent node;

[0039] S333. Recursively reach the root node of the first layer to obtain the final score of each participant.

[0040] Optionally, based on the ranking results of the scores of each participant, seat ranking according to the seat priority rules of the selected seat arrangement table type includes the following steps:

[0041] S41. Determine the seat priority rules of the selected seat arrangement table type, rank the seats of the seat arrangement table type, and obtain the seat ranking results of the selected seat arrangement table type;

[0042] S42. Based on the ranking results of the scores of each participant and in combination with the seat ranking results of the selected seat arrangement table type, arrange seats for each participant.

[0043] Optionally, the round table seat arrangement priority rules include: the round table odd rule and the round table even rule;

[0044] The theater-style seat arrangement priority rules include: the theater odd rule and the theater even rule.

[0045] Optionally, the U-shaped seat arrangement includes the arrangement of the seats on the podium and the seats on both sides. The rules for the arrangement of the seats on the podium include: the podium odd rule and the podium even rule;

[0046] The island-style seat arrangement includes the arrangement of the seats on the podium, the seats on both sides, and the seats opposite to the podium.

[0047] Compared with the prior art, the present application has the following beneficial effects:

[0048] 1) The present invention has the function of dynamically adding or deleting seat arrangement factors, and can dynamically adjust the weights of each factor as needed, so as to achieve a highly intelligent seat arrangement.

[0049] 2) By comprehensively considering multiple dimensions of information of the participants, the present invention can flexibly adapt to various meeting requirements, ensure the optimal seat allocation plan, and improve the organization efficiency and participation experience of the meeting. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] With the following description of the embodiments in combination, the above characteristics, features and advantages of the present invention and the implementation manners and methods thereof become more clearly understandable. The embodiments are described in detail in combination with the drawings. Shown herein in schematic diagrams:

[0051] Figure 1 is a flowchart of an intelligent seat arrangement method based on a multi-dimensional linear weighting model according to an embodiment of the present invention;

[0052] Figure 2 is a case of a linear weighting model configuration page in an intelligent seat arrangement method based on a multi-dimensional linear weighting model according to an embodiment of the present invention;

[0053] Figure 3It is an example diagram of a multi - fork tree display configured by a linear weighted model in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0054] Figure 4 It is a priority example diagram of sorting when the number of round - table seats is odd in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0055] Figure 5 It is a priority example diagram of sorting when the number of round - table seats is even in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0056] Figure 6 It is a priority example diagram of sorting for theater - style seats in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0057] Figure 7 It is a priority example diagram of sorting when the number of U - shaped podium seats is odd in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0058] Figure 8 It is a priority example diagram of sorting when the number of U - shaped podium seats is even in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention;

[0059] Figure 9 It is a priority example diagram of sorting for island - style seats in the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention. Detailed implementation manners

[0060] In order to enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0061] According to an embodiment of the present invention, an intelligent seat arrangement method based on a multi - dimensional linear weighted model is provided.

[0062] Now, the present invention will be further described in conjunction with the accompanying drawings and specific implementation manners. As Figure 1 shown, the intelligent seat arrangement method based on a multi - dimensional linear weighted model according to an embodiment of the present invention includes the following steps:

[0063] S1. Select a corresponding scoring method based on the data type of the pre - configured seat arrangement factors, and construct a linear weighted seat arrangement model by assigning weights to each seat arrangement factor.

[0064] Preferably, based on the data type of the pre-configured seating factors, select the corresponding scoring method, and by assigning weights to each seating factor, constructing a linear weighted seating model includes the following steps:

[0065] S11. Divide the information of each participant into institutional information and personal information, and configure the corresponding seating factors according to the institutional information and personal information of each participant;

[0066] S12. Divide the data type of the seating factors into discrete seating factors and continuous seating factors, and select the corresponding scoring method according to the data type of the seating factors, and use the selected scoring method to score the seating factors to obtain a scoring result;

[0067] S13. Assign weights to each seating factor according to the focus and requirements of seating;

[0068] S14. Integrate the weights and scoring results of each seating factor to construct a linear weighted seating model.

[0069] Preferably, divide the data type of the seating factors into discrete seating factors and continuous seating factors, and select the corresponding scoring method according to the data type of the seating factors, and use the selected scoring method to score the seating factors to obtain a scoring result including:

[0070] For discrete seating factors, use a one-to-one mapping scoring method to map the corresponding data into corresponding scores;

[0071] For continuous seating factors, use a segmented mapping scoring method to map the corresponding data into corresponding scores according to the interval.

[0072] It should be noted that when configuring the scores of different seating factors in the system, try to select factors with relatively low correlation, such as Figure 2 As shown, in the linear weighted model configuration example, the participant information is divided into two categories, one is institutional information and the other is personal information, and there are corresponding seating factors under each category of information.

[0073] For each factor, select whether to directly map the score or use the segmented mapping scoring method according to the data type of the factor. The direct mapping adopts a one-to-one correspondence method, and the segmented mapping adopts scoring according to the interval; for discrete data such as job rank and club membership, adopt the one-to-one mapping method to map the corresponding data into specific scores, and for continuous data such as asset scale, adopt the segmented mapping to map the corresponding data into corresponding scores according to the interval.

[0074] After mapping the data for each factor, it is also necessary to assign weights to each factor. Specifically, considering the focus and special requirements of each seating arrangement, the weights of the corresponding factors are artificially increased. For example, if most of the participants come from institutions at the same level, more weight can be artificially assigned to the factor of job rank, so that in the final score, the factor of job rank has a greater impact. If it is desired that the institutional factor is greater than the personal factor, the weight of the institutional node can be adjusted. After saving the weights of each factor, the seating arrangement can be carried out.

[0075] S2. Determine the number of participants and select the seating table type in combination with the type of meeting.

[0076] Preferably, determining the number of participants and selecting the seating table type in combination with the type of meeting includes the following steps:

[0077] S21. Determine the number of participants and determine the corresponding number of seats according to the number of participants;

[0078] S22. Determine the type of meeting according to the application scenario and select the seating table type according to the type of meeting;

[0079] S23. Judge whether the number of seats of the selected seating table type meets the number of people to be seated. If it meets, retain the selected table type; if it does not meet, reselect the seating table type until the number of seats of the seating table type meets the number of people to be seated.

[0080] Preferably, the seating table types include round table types, theater types, U-shaped types, and island types;

[0081] The round table type is that the seats are arranged around one or more round tables;

[0082] The theater type is that the seats are arranged in multiple rows facing forward;

[0083] The U-shaped type is that the seats are arranged in a U shape;

[0084] The island type is that the seats are divided into several groups and arranged around a table.

[0085] It should be noted that the types of seating table types include round table types, theater types, U-shaped types, and island types; the round table type is that the seats are arranged around one or more round tables, which is suitable for occasions that require high interactivity; the theater type is that the seats are arranged in multiple rows facing forward, which is suitable for occasions that require concentration; the U-shaped type is that the seats are arranged in a U shape, which is suitable for occasions that require a certain degree of interaction; the island type is that the seats are divided into several groups and arranged around a table, which is suitable for occasions that require group discussions.

[0086] Select the corresponding number of seats based on the number of people signed in on site. First, determine whether the number of seats of the selected seating table type meets the number of people to be seated. If it meets, retain the selected table type; if it does not meet, prompt and re-select the seating table type until the number of seats of the seating table type meets the number of people to be seated.

[0087] S3. Collect the seating-related information of each participant, and score and rank each participant in combination with the linear weighted seating model to obtain the score ranking results of each participant.

[0088] Preferably, collecting the seating-related information of each participant and scoring and ranking each participant in combination with the linear weighted seating model to obtain the score ranking results of each participant includes the following steps:

[0089] S31. Collect the seating-related information of each participant;

[0090] S32. According to the seating factors in the linear weighted seating model, select the seating factors corresponding to the bottom layer of each participant;

[0091] S33. Based on the seating factors corresponding to the bottom layer of each participant, in combination with the linear weighted seating model, calculate the final scores of each participant;

[0092] S34. Sort the final scores of each participant from high to low to obtain the score ranking results of each participant.

[0093] Preferably, based on the seating factors corresponding to the bottom layer of each participant, in combination with the linear weighted seating model, calculating the final scores of each participant includes the following steps:

[0094] S331. Based on the seating factors corresponding to the bottom layer of each participant, in combination with the seating factor rules and scoring methods configured in the linear weighted seating model, calculate the scores of the bottom layer nodes of each participant;

[0095] S332. Based on the subsequent traversal method, traverse each node in the linear weighted model, and accumulate the child nodes of the same parent node and then multiply by the weight of the parent node to obtain the final score of the parent node;

[0096] S333. Recursively reach the root node of the first layer to obtain the final scores of each participant.

[0097] It should be noted that the seating-related information of each participant is collected and each participant is scored in combination with the linear weighted seating model. Taking the participation information of participant Zhang San as an example, Zhang San is scored.

[0098] As shown in Table 1, it is the participation information of participant Zhang San.

[0099] Table 1 Information of Zhang San's Participation in the Meeting

[0100] Name Zhang San Mapping Score Weighted Score Age 45 20 20 Institutional Asset Size 50 billion 30 30 Institutional Non-Performing Loan Ratio 1.2 10 10 Credit Rating AA 20 40 Position Chairman 25 75

[0101] According to Figure 3 the multi - fork tree display example diagram configured by the linear weighted seat arrangement model, the final score can be calculated as follows:

[0102] (30 + 10 + 40) * 2+(75 + 20) * 1 = 255;

[0103] S4. Based on the score ranking results of each participant, seat arrangement is carried out according to the seat priority rules of the selected seat arrangement table type.

[0104] Preferably, based on the score ranking results of each participant, seat arrangement according to the seat priority rules of the selected seat arrangement table type includes the following steps:

[0105] S41. According to the selected seat arrangement table type, determine the seat priority rules of this seat arrangement table type, and sort the seats of the seat arrangement table type to obtain the seat arrangement result of the selected seat arrangement table type;

[0106] S42. Based on the score ranking results of each participant, combined with the seat arrangement result of the selected seat arrangement table type, arrange seats for each participant.

[0107] Preferably, sorting the seats of the seat arrangement table type according to the seat priority rules of the selected seat arrangement table type to obtain the seat arrangement result of the selected seat arrangement table type includes:

[0108] Preferably, the round - table seat arrangement priority rules are divided into round - table odd rules and round - table even rules. When the number of seats is odd, the seat priority is middle > left > right > left > right; when the number of seats is even, the seat priority is right > left > right > left;

[0109] The theater - style seat arrangement priority rules are divided into theater odd rules and theater even rules. When the number of seats is odd, the seat priority order is middle > right > left > second - right > second - left; when the number of seats is even, the seat priority order is right > left > second - right > second - left.

[0110] Preferably, sorting the seats of the seat arrangement table type according to the seat priority rules of the selected seat arrangement table type to obtain the sorting result of the selected seat arrangement table type also includes:

[0111] The priority rule for U-shaped seating arrangement designates the top row of the podium as the highest-priority row, and the bottom row as the lowest-priority row. For the seating arrangement on both sides, the priority order is left > right. The priority rule for podium seating is divided into the odd-number rule and the even-number rule for the podium. When the number of seats on the podium is odd, the priority order of the seats is middle > left > right > left > right; when the number of seats on the podium is even, the priority order of the seats is left > second left > … > right > second right > ….

[0112] The priority rule for island-style seating arrangement designates the bottom row as the highest-priority row, and the top row as the lowest-priority row. For the seating arrangement on both sides, the priority order is left > right.

[0113] It should be noted that the sorting rules for each table type are as follows, where the smaller the number, the higher the priority.

[0114] The seating arrangement rule for the round table type is: as Figure 4 shown, when the number of seats is odd, the priority of each row of tables is: middle > left > right > left > right; as Figure 5 shown, when the number of seats is even, the priority of each row of tables is: right > left > right > left.

[0115] The seating arrangement rule for the theater style is: as Figure 6 shown, for an odd number of seats, it is: middle > right > left > second right > second left, and for an even number of seats, it is: right > left > second right > second left.

[0116] The priority rule for U-shaped seating arrangement is: designating the top row of the podium as the highest-priority row, and the bottom row as the lowest-priority row. For the seating arrangement on both sides, the priority order is left > right; as Figure 7 shown, when the number of seats on the podium is odd, the priority order of the seats is middle > left > right > left > right; as Figure 8 shown, when the number of seats on the podium is even, the priority order of the seats is left > second left > … > right > second right > ….

[0117] The seating arrangement rule for island style is: as Figure 9 shown, designating the bottom row as the highest-priority row, and the top as the lowest-priority row, arranging according to the rule of right > left, and arranging the two sides in the middle according to the rule of left > right.

[0118] In summary, by means of the above technical solutions of the present invention, the present invention has the function of dynamically adding or deleting seating arrangement factors, and can dynamically adjust the weights of each factor as needed, so as to achieve a highly intelligent seating arrangement; by comprehensively considering multiple-dimensional information of the participants, the present invention can flexibly adapt to various meeting requirements, ensure the optimal seat allocation plan, and improve the organization efficiency and participation experience of the meeting.

[0119] Although the present invention has been disclosed above with preferred embodiments, the embodiments are only for illustrative purposes and are not intended to limit the present invention. Those skilled in the art can make several modifications and refinements without departing from the spirit and scope of the present invention. The scope of protection claimed by the present invention shall be subject to the claims.

Claims

1. An intelligent seat arrangement method based on a multi-dimensional linear weighted model, characterized in that, The method includes the following steps: S1. Select the corresponding scoring method based on the data type of the pre-configured seating factors, and construct a linear weighted seating model by assigning weights to each seating factor; S2. Determine the number of participants and select the seating table type in combination with the participation type; S3. Collect the seating-related information of each participant, and score and rank each participant in combination with the linear weighted seating model to obtain the score ranking result of each participant; S4. Based on the score ranking result of each participant, perform seat ranking according to the seat priority rule of the selected seating table type.

2. The intelligent seating arrangement method based on the multi-dimensional linear weighting model according to claim 1, characterized in that The step of selecting the corresponding scoring method based on the data type of the pre-configured seating factors and constructing a linear weighted seating model by assigning weights to each seating factor includes the following steps: S11. Divide the information of each participant into institutional information and personal information, and configure the corresponding seating factors according to the institutional information and personal information of each participant; S12. Divide the data type of the seating factors into discrete seating factors and continuous seating factors, select the corresponding scoring method according to the data type of the seating factors, and score the seating factors using the selected scoring method to obtain the scoring result; S13. Assign weights to each seating factor according to the focus and requirements of seating; S14. Integrate the weights and scoring results of each seating factor to construct a linear weighted seating model.

3. The intelligent seat arrangement method based on the multi-dimensional linear weighted model according to claim 2, wherein The step of dividing the data type of the seating factors into discrete seating factors and continuous seating factors, selecting the corresponding scoring method according to the data type of the seating factors, and scoring the seating factors using the selected scoring method to obtain the scoring result includes: The discrete seating factors adopt a one-to-one mapping scoring method to map the corresponding data into corresponding scores; The continuous seating factors adopt a segmented mapping scoring method to map the corresponding data into corresponding scores according to the interval.

4. The intelligent seating arrangement method based on the multi-dimensional linear weighted model according to claim 1, characterized in that, The step of determining the number of participants and selecting the seating table type in combination with the participation type includes the following steps: S21. Determine the number of participants and determine the corresponding number of seats according to the number of participants; S22. Determine the participation type according to the application scenario and select the seating table type according to the participation type; S23. Judge whether the number of seats of the selected seating table type meets the number of people to be seated. If it meets, retain the selected table type; if it does not meet, re-select the seating table type until the number of seats of the seating table type meets the number of people to be seated.

5. The intelligent seating arrangement method based on the multi-dimensional linear weighted model according to claim 4, characterized in that The seating table types include round table types, theater types, U-shaped types and island types; The round table type means that the seats are arranged around one or more round tables; The theater type means that the seats are arranged in multiple rows facing forward; The U-shaped type means that the seats are arranged in a U shape; The island type means that the seats are divided into several groups and arranged around a table.

6. The intelligent seat arrangement method based on the multi-dimensional linear weighted model according to claim 1, characterized in that, The step of collecting the seating-related information of each participant, scoring and ranking each participant in combination with the linear weighted seating model to obtain the score ranking result of each participant includes the following steps: S31. Collect the seating-related information of each participant; S32. Select the seating factors corresponding to the bottom layer of each participant according to the seating factors in the linear weighted seating model; S33. Calculate the final scores of all participants based on the seating factors corresponding to the bottom layer of each participant and in combination with the linear weighted seating model. S34. Sort the final scores of all participants in descending order to obtain the sorted result of the scores of all participants.

7. The intelligent seating arrangement method based on a multi-dimensional linear weighted model according to claim 6, characterized in that, The calculation of the final scores of all participants based on the seating factors corresponding to the bottom layer of each participant and in combination with the linear weighted seating model includes the following steps: S331. Calculate the scores of the bottom layer nodes of all participants based on the seating factors corresponding to the bottom layer of each participant and in combination with the seating factor rules and scoring methods configured in the linear weighted seating model. S332. Based on the subsequent traversal method, traverse each node in the linear weighted model, and accumulate the child nodes of the same parent node and then multiply by the weight of the parent node to obtain the final score of the parent node. S333. Recursively reach the root node of the first layer to obtain the final scores of all participants.

8. The intelligent seat arrangement method based on the multi-dimensional linear weighted model according to claim 1, wherein, The seating arrangement based on the sorted result of the scores of all participants according to the seating priority rules of the selected seating table type includes the following steps: S41. According to the selected seating table type, determine the seating priority rules of the seating table type, and sort the seats of the seating table type to obtain the seating arrangement result of the selected seating table type. S42. Based on the sorted result of the scores of all participants and in combination with the seating arrangement result of the selected seating table type, arrange the seats for all participants.

9. The intelligent seating arrangement method based on the multi-dimensional linear weighted model according to claim 8, characterized in that The round table seating priority rules include: round table odd rule and round table even rule. The theater-style seating priority rules include: theater odd rule and theater even rule.

10. The intelligent seat arrangement method based on the multi-dimensional linear weighted model according to claim 9, characterized in that The U-shaped seating arrangement includes the seating arrangement of the podium and the seating arrangements on both sides. The rules for the seating arrangement of the podium include: podium odd rule and podium even rule. The island-style seating arrangement includes the seating arrangement of the podium, the seating arrangements on both sides, and the seating arrangement of the seats opposite the podium.

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