An intelligent information recognition system for exhibitions

Abstract

The present invention discloses an intelligent identification system for exhibition information, comprising an exhibit data acquisition unit, a data adaptive processing unit and an identification information output unit. The present invention relates to the technical field of exhibition information identification, and solves the technical problems that information identification cannot be performed according to different situations, resulting in low overall identification accuracy, and secondly, no reasonable planning of user routes, which reduces user experience and wastes user time. The present invention identifies information according to different situations and identifies it in combination with historical records, thereby avoiding identification difficulties caused by inaccurate information provision and further improving the overall identification accuracy. Secondly, the system automatically generates corresponding route information according to the data information of the identification result, and the generated route information can provide a clear direction for the user, thereby reducing the user's search time and further improving the user's use experience.

Description

Technical Field

[0001] The present invention relates to the technical field of exhibition information recognition, in particular to an intelligent exhibition information recognition system. Background Art

[0002] With the continuous development of information technology, exhibition halls are also moving towards modernization and digitalization. At the same time, more and more people come to exhibitions, and people's demand for the experience of visiting exhibition halls is increasing day by day.

[0003] According to the patent with application number CN202111528850.5, the patent includes a user end and a query end. The user end is communicatively connected to the query end. The query end is configured with an exhibit information database. The exhibit information data is preset with exhibit information and corresponding exhibit introductions. The exhibit introduction includes an overview introduction of the exhibits and several exhibit area introductions. The exhibit area introductions correspond one-to-one to each area of ​​the exhibits. The user end includes exhibition viewing glasses. The exhibition viewing glasses are configured with an exhibit recognition module, an interest detection module, an interest calculation module, an information reading module and a voice broadcast module. It has the characteristics of being able to prioritize broadcasting relevant introductions based on the user's interest level and being flexible to use.

[0004] When some exhibition information recognition systems search for search information input by users, on the one hand, they do not know the specific name, which makes it inconvenient to identify the information and reduces the accuracy and efficiency of information recognition. On the other hand, there is no reasonable route planning for the results corresponding to the identified information. Users need to search for the required information by themselves, which reduces the user experience and causes a waste of time due to the lack of reasonable route planning. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent information recognition system for exhibitions, which solves the problem that information recognition cannot be performed according to different situations, resulting in low overall recognition accuracy, and secondly, no reasonable planning of user routes, which reduces user experience and wastes user time.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an exhibition information intelligent recognition system, comprising:

[0007] The exhibit data acquisition unit is used to acquire the basic data of the target object and transmit it to the data adaptive processing unit, wherein the target object is: an exhibitable item, and the basic data includes: name, type and shape;

[0008] The data adaptive processing unit is used to obtain the basic data of the target object and analyze it. By searching and identifying the name of the target object, the corresponding name recognition result is generated, including: existence result and non-existence result. At the same time, the existence result is transmitted to the information recognition and analysis unit, and the non-existence result is transmitted to the unrecognized analysis unit. The specific analysis method is:

[0009] The target object name is obtained, and at the same time, a database stored in the system is obtained, and the target object name is matched with the database. When there is an exhibitable item matching the target object name in the database, the system generates an existence result and marks the corresponding exhibitable item. When there is no exhibitable item matching the target object name in the database, the system generates a non-existence result. Specifically, it should be noted that the database stored in the system includes information on all exhibitable items, including name, shape, type, etc., and matching is indicated by the target object name being the same as or similar to the name of the exhibitable item in the database;

[0010] The information identification unit is used to obtain the transmitted existence result and analyze it, calculate the visual value corresponding to the existence result and display it according to the visual value to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit. The specific method of generating the display result is:

[0011] All the exhibitable items corresponding to the existing results are obtained and numbered and recorded as i, where i=1, 2, ..., n. At the same time, the number of views Li and the number of clicks Di of the exhibitable item i are obtained. Then, the two are substituted into the formula Qi=Li×a1+Di×a2 to calculate the visible value Qi corresponding to the exhibitable item i. Both a1 and a2 are preset proportional coefficients, and the specific values ​​are set by the operator. At the same time, the visible values ​​Qi are sorted from large to small to generate the display result;

[0012] The unidentified analysis unit is used to obtain the transmitted non-existent result and analyze it, and perform secondary analysis on it according to the basic data, and identify the non-existent result in combination with the historical records to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit. The display result is generated in the following manner:

[0013] S1: Obtain the basic data of the target object and match and filter it with the database, and at the same time filter out the information that matches the basic data of the target object and record it as the filtering information; specifically, it should be noted here that the basic data of the target object is represented by the basic data remaining after removing the name, specifically including the type and shape, match the corresponding basic data with the database, filter out the information whose type and shape match the target object and integrate it to generate the filtering information.

[0014] S2: Then, the screening information is classified and processed according to the types of exhibitable items and the corresponding screening classification information is generated. Meanwhile, the historical records are obtained and the screening classification information is matched according to the historical records to generate the display results. The specific matching method is as follows:

[0015] S21: Obtain the corresponding search record in the history record, obtain the exhibitable item corresponding to the search record, and simultaneously obtain the basic data corresponding to the exhibitable item, and then obtain the basic data corresponding to the exhibitable item in the screening classification information;

[0016] S22: classifying the displayable items corresponding to the search record by type, then performing similarity matching with the displayable items of the same type in the filtered classification information and integrating the matching results to generate a display result;

[0017] The route information generating unit is used to obtain and analyze the transmitted display results, generate appropriate route information by generating the route of the display results and combining the position of the corresponding displayable items in the display results with the route relationship, and transmit the generated route information to the identification information output unit. The specific method of generating the route information is:

[0018] P1: Get the user's location and record it as the origin and represent it in the form of a point. Then get the displayable item with the highest similarity in the display result and record it as the end point and represent it in the form of a point. Then generate a route with the shortest distance from the origin to the end point and record it as the route to be analyzed.

[0019] P2: Then, the route to be analyzed is obtained, and the positions of the corresponding exhibitable items in the display results are analyzed and judged. If the positions of the exhibitable items are all located on the same side of the route to be analyzed, the corresponding exhibitable items are recorded as exhibitable items on the same side. On the contrary, if the positions of the exhibitable items are distributed on both sides of the route to be analyzed, the corresponding exhibitable items are recorded as dispersed exhibitable items.

[0020] P3: Get all the items that can be displayed on the same side and analyze them. Filter the corresponding items that can be displayed on the same side by calculating their similarity and generate corresponding route information. The specific analysis method is as follows:

[0021] P31: Obtain the same-side exhibitable items and label them as k, where k=1, 2, ..., o, then record the same-side exhibitable items located on the route to be analyzed as route exhibitable items and record them as u, where u=1, 2, ..., r, and record the same-side exhibitable items not located on the route to be analyzed as non-route exhibitable items and record them as y, where y=1, 2, ..., t;

[0022] P32: Next, obtain the similarity of all route display items u, denoted as Xu. At the same time, calculate the overall similarity mean XuP of them, and obtain the similarity of all non-route display items y, denoted as Xy. Similarly, calculate its overall similarity mean XyP, and then judge the size of the two;

[0023] P33: When XuP > XyP, it means that the overall similarity of the route display item u is greater than that of the non-route display item y, and generate the corresponding route information according to the position of the route display item. On the contrary, when XuP < XyP, it means that the overall similarity of the route display item u is less than that of the non-route display item y, and generate the corresponding route information according to the position of the non-route display item; Specifically, it should be noted here that when generating the route information, the route information is generated in order from near to far from the starting point;

[0024] P4: Obtain all scattered display items and analyze them. By calculating their selection values, screen and generate the corresponding route information. The specific analysis method is as follows:

[0025] P41: Obtain all scattered display items and number them, denoted as h, and h = 1, 2,..., p. Then obtain the similarity corresponding to all scattered display items, denoted as Xh, and obtain the vertical distance from the scattered display item h to the route to be analyzed, denoted as Dh;

[0026] P42: Then substitute Xh and Dh into the formula Calculate the selection value corresponding to the scattered display item h, denoted as Fh, where c and z are both preset proportionality coefficients. Then sort the selection values Fh in ascending order of the distance from the origin as the starting point to obtain the selection value sorting information;

[0027] P43: Finally, screen the selection value sorting information. By comparing the corresponding selection value Fh with the preset value YS, screen out the scattered display items corresponding to Fh ≥ YS and highlight them. At the same time, generate the route information for the highlighted scattered display items in order. Specifically, it should be noted here that generating in order means generating the route for the highlighted scattered display items in ascending order of the distance from the origin as the starting point;

[0028] The recognition information output unit is used to obtain the transmitted display result and route information and display them to the corresponding personnel.

[0029] Beneficial effects

[0030] The present invention provides an intelligent information recognition system for exhibitions. Compared with the prior art, it has the following

[0031] Beneficial effects:

[0032] The present invention identifies information according to different situations and combines it with historical records to avoid identification difficulties caused by inaccurate information provision, thereby further improving the overall identification accuracy. Secondly, the system automatically generates corresponding route information based on the data information of the identification results. The generated route information can provide users with a clear direction, thereby reducing the user's searching time and further improving the user's usage experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the system of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] For example, see Figure 1 , the present application provides an exhibition information intelligent recognition system, including:

[0036] The exhibit data acquisition unit is used to acquire basic data of the target object and transmit it to the data adaptive processing unit, wherein the target object is an exhibitable item and the basic data includes name, type and shape.

[0037] The data adaptive processing unit is used to obtain the basic data of the target object and analyze it, and generate the corresponding name recognition result by searching and identifying the name of the target object, including: existence result and non-existence result, and transmit the existence result to the information recognition analysis unit, and transmit the non-existence result to the unrecognized analysis unit, and the name recognition result is generated in the following manner:

[0038] The target object name is obtained, and at the same time, a database stored in the system is obtained, and the target object name is matched with the database. When there is an exhibitable item matching the target object name in the database, the system generates an existence result and marks the corresponding exhibitable item. When there is no exhibitable item matching the target object name in the database, the system generates a non-existence result. Specifically, it should be noted that the database stored in the system includes information on all exhibitable items, including names, shapes, types, etc., and matching is indicated by the target object name being the same as or similar to the name of the exhibitable item in the database.

[0039] The information identification unit is used to obtain the transmitted existence result and analyze it, calculate the visual value corresponding to the existence result and display it according to the visual value to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit at the same time. The specific method of generating the display result is as follows:

[0040] All the exhibitable items corresponding to the existing results are obtained and labeled and recorded as i, where i=1, 2, ..., n. At the same time, the number of views Li and the number of clicks Di of exhibitable item i are obtained, and then the two are substituted into the formula Qi=Li×a1+Di×a2 to calculate the visible value Qi corresponding to exhibitable item i, and a1 and a2 are both preset proportional coefficients, and the specific values ​​are set by the operator. At the same time, the visible values ​​Qi are sorted from large to small to generate the display results.

[0041] The unidentified analysis unit is used to obtain the transmitted non-existent result and analyze it, and perform secondary analysis on it according to the basic data, and identify the non-existent result in combination with the historical records to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit. The specific method of generating the display result is as follows:

[0042] S1: Obtain the basic data of the target object and match and filter it with the database, and at the same time filter out the information that matches the basic data of the target object and record it as the filtering information; specifically, it should be noted here that the basic data of the target object is represented by the basic data remaining after removing the name, specifically including the type and shape, match the corresponding basic data with the database, filter out the information whose type and shape match the target object and integrate it to generate the filtering information.

[0043] S2: Then, the screening information is classified and processed according to the types of exhibitable items and the corresponding screening classification information is generated. Meanwhile, the historical records are obtained and the screening classification information is matched according to the historical records to generate the display results. The specific matching method is as follows:

[0044] S21: Obtain the corresponding search record in the history record, obtain the exhibitable item corresponding to the search record, and simultaneously obtain the basic data corresponding to the exhibitable item, and then obtain the basic data corresponding to the exhibitable item in the screening classification information;

[0045] S22: classifying the exhibitables corresponding to the search record by type, then performing similarity matching with the exhibitables of the same type in the filtered classification information and integrating the matching results to generate a display result; specifically, it should be noted here that the similarity matching is expressed as quantitatively comparing the basic data corresponding to the corresponding exhibitables of the same type with the basic data of the corresponding exhibitables in the search record. For example, the basic data includes three groups: name, type, shape and color. If there are two or more groups of basic data of the same type of exhibitables that are the same, the similarity of the exhibitables is expressed as the similarity obtained by dividing the number of the same basic data groups by the total number of basic data groups, that is, if the similarity exceeds 50%, it means that the two match each other.

[0046] The identification information output unit is used to obtain the transmitted display result and display it to the corresponding user through the display device. The display method can be displayed in the 3D scene simulation scene of the exhibition hall.

[0047] Embodiment 2, as Embodiment 2 of the present invention, differs from Embodiment 1 in that the information identification analysis unit and the unidentified analysis unit transmit the generated display results to the route information generation unit and analyze them.

[0048] The route information generating unit is used to obtain and analyze the transmitted display result, generate a route of the display result, and generate appropriate route information by combining the position of the corresponding displayable item in the display result and the relationship between the route, and transmit the generated route information to the identification information output unit, and the way of generating the route information is:

[0049] P1: Get the user's location and record it as the origin and represent it in the form of a point. Then get the displayable item with the highest similarity in the display result and record it as the end point and represent it in the form of a point. Then generate a route with the shortest distance from the origin to the end point and record it as the route to be analyzed.

[0050] P2: Then, the route to be analyzed is obtained, and the positions of the corresponding exhibitable items in the display results are analyzed and judged. If the positions of the exhibitable items are all located on the same side of the route to be analyzed, the corresponding exhibitable items are recorded as exhibitable items on the same side. On the contrary, if the positions of the exhibitable items are distributed on both sides of the route to be analyzed, the corresponding exhibitable items are recorded as dispersed exhibitable items.

[0051] P3: Obtain all the exhibitable items on the same side and analyze them, and generate corresponding route information. The specific method of generating route information is as follows:

[0052] P31: Obtain the display items on the same side, label them, and denote them as k, where k = 1, 2, …, o. Then, denote the display items on the same side located on the route to be analyzed as route display items and denote them as u, where u = 1, 2, …, r. Denote the display items on the same side not located on the route to be analyzed as non-route display items and denote them as y, where y = 1, 2, …, t;

[0053] P32: Next, obtain the similarity of all route display items u and denote it as Xu. At the same time, calculate its overall similarity mean XuP. Obtain the similarity of all non-route display items y and denote it as Xy. Similarly, calculate its overall similarity mean XyP. Then, judge the magnitude of the two;

[0054] P33: When XuP > XyP, it means that the overall similarity of the route display items u is greater than that of the non-route display items y, and generate the corresponding route information according to the positions of the route display items. On the contrary, when XuP < XyP, it means that the overall similarity of the route display items u is less than that of the non-route display items y, and generate the corresponding route information according to the positions of the non-route display items; Specifically, it should be noted here that when generating the route information, the route information is generated in order from the nearest to the starting point.

[0055] P4: Obtain all the scattered display items, analyze them, and generate the corresponding route information. The specific method of generating the route information is as follows:

[0056] P41: Obtain all the scattered display items, label them, and denote them as h, where h = 1, 2, …, p. Then, obtain the similarity corresponding to all the scattered display items and denote it as Xh. Obtain the perpendicular distance from the scattered display item h to the route to be analyzed and denote it as Dh;

[0057] P42: Next, substitute Xh and Dh into the formula Calculate the selection value corresponding to the scattered display item h and denote it as Fh, where c and z are both preset proportionality coefficients. Then, sort the selection values Fh in ascending order of the distance from the origin to obtain the selection value sorting information;

[0058] P43: Finally, screen the selection value sorting information. Compare the corresponding selection value Fh with the preset value YS, screen out the scattered display items corresponding to Fh ≥ YS, and highlight them. At the same time, generate the route information for the highlighted scattered display items in order. Specifically, it should be noted here that generating in order means generating the route starting from the origin and arranging the highlighted scattered display items in ascending order of the distance from the origin.

[0059] The identification information output unit is used to obtain the transmitted route information and display it to the corresponding user.

[0060] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0061] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0062] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent information recognition system for exhibitions, characterized in that: include: The exhibit data acquisition unit is used to acquire the basic data of the target object and transmit it to the data adaptive processing unit, wherein the target object is: an exhibitable item, and the basic data includes: name, type and shape; The data adaptive processing unit is used to obtain the basic data of the target object and analyze it, and generate a corresponding name recognition result by searching and identifying the name of the target object, wherein the name recognition result includes: an existence result and a non-existence result, and transmits the existence result to the information recognition and analysis unit, and transmits the non-existence result to the unrecognized analysis unit; The information identification unit is used to obtain the transmitted existence result and analyze it, calculate the visual value corresponding to the existence result and display it according to the visual value to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit at the same time. The specific method of generating the display result is: All the exhibitable items corresponding to the existing results are obtained and numbered and recorded as i, where i=1, 2, ..., n. At the same time, the number of views Li and the number of clicks Di of the exhibitable item i are obtained. Then, the two are substituted into the formula Qi=Li×a1+Di×a2 to calculate the visible value Qi corresponding to the exhibitable item i. Both a1 and a2 are preset proportional coefficients, and the specific values ​​are set by the operator. At the same time, the visible values ​​Qi are sorted from large to small to generate the display result; The unidentified analysis unit is used to obtain the transmitted non-existent result and analyze it, and perform secondary analysis on it according to the basic data, and identify the non-existent result in combination with the historical records to generate a corresponding display result, and transmit the display result to the route information generation unit and the identification information output unit, and the display result is generated in the following manner: S1: Obtain the target object basic data and match and filter it with the database, and filter out the information that matches the target object basic data and record it as the filtering information; S2: Then, the screening information is classified and processed according to the types of exhibitable items and the corresponding screening classification information is generated. Meanwhile, the historical records are obtained and the screening classification information is matched according to the historical records to generate the display results. The specific matching method is as follows: S21: Obtain the corresponding search record in the history record, obtain the exhibitable item corresponding to the search record, and simultaneously obtain the basic data corresponding to the exhibitable item, and then obtain the basic data corresponding to the exhibitable item in the screening classification information; S22: classifying the displayable items corresponding to the search record by type, then performing similarity matching with the displayable items of the same type in the filtered classification information and integrating the matching results to generate a display result; The route information generating unit is used to obtain and analyze the transmitted display result, generate the route of the display result, and generate the route information by combining the position of the corresponding displayable item in the display result and the relationship between the route, and transmit the generated route information to the identification information output unit, and the specific method of generating the route information is: P1: Get the user's location and record it as the origin. Get the location of the displayable item with the highest similarity in the display result and record it as the end point. Take the origin as the starting point and generate a route with the shortest distance to the end point as the route to be analyzed. P2: Then, the route to be analyzed is obtained, and the positions of the corresponding exhibitable items in the display results are analyzed and judged. If the positions of the exhibitable items are all on the same side of the route to be analyzed, they will be recorded as exhibitable items on the same side, otherwise they will be recorded as dispersed exhibitable items; P3: Obtain all the exhibitable items on the same side and analyze them, select the corresponding exhibitable items on the same side by calculating their similarity and generate corresponding route information, and the specific method of analyzing the exhibitable items on the same side is: P31: Obtain the same-side exhibitable items and label them as k, where k=1, 2, ..., o, then record the same-side exhibitable items located on the route to be analyzed as route exhibitable items and record them as u, where u=1, 2, ..., r, and record the same-side exhibitable items not located on the route to be analyzed as non-route exhibitable items and record them as y, where y=1, 2, ..., t; P32: Then obtain the similarity of all route displayable items u as Xu, and calculate the overall similarity mean XuP, and obtain the similarity of all non-route displayable items y as Xy, and calculate the overall similarity mean XyP in the same way, and then judge the size of the two; P33: When XuP>XyP, it means that the overall similarity of route exhibitable item u is greater than the similarity of non-route exhibitable item y, and the corresponding route information is generated according to the location of the route exhibitable item. Otherwise, the corresponding route information is generated according to the location of the non-route exhibitable item. P4: Get all the scattered exhibits and analyze them, filter and generate corresponding route information by calculating their selection values, and the specific analysis method of the scattered exhibits is as follows: P41: Obtain all the dispersed exhibitable items and label them as h, where h=1, 2, ..., p, then obtain the similarities corresponding to all the dispersed exhibitable items as Xh, and obtain the vertical distance between the dispersed exhibitable item h and the route to be analyzed as Dh; P42: Then substitute Xh and Dh into the formula The selected value corresponding to the dispersed displayable item h is calculated and recorded as Fh, where c and z are both preset proportional coefficients, and then the selected value Fh is sorted from the origin to the origin according to the distance value from the origin to obtain the selected value sorting information; P43: Finally, the selected value sorting information is screened, and the corresponding selected value Fh is compared with the preset value YS, and the dispersed exhibitable items corresponding to Fh≥YS are screened and highlighted, and the route information of the highlighted dispersed exhibitable items is generated in sequence; The identification information output unit is used to obtain the transmitted route information and display results, and display them.

2. The intelligent identification system for exhibition information according to claim 1, characterized in that: The data adaptive processing unit generates the name recognition result in the following manner: The target object name is obtained, and at the same time, the database stored in the system is obtained, and the target object name is matched with the database. When there is an exhibitable item matching the target object name in the database, the system generates an existence result and marks the corresponding exhibitable item. When there is no exhibitable item matching the target object name in the database, the system generates a non-existence result.

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