A public data processing method and system
By constructing a three-dimensional urban model and using residents' activity data and cultural building feature information to determine the cultural promotion methods and strategies of the city, the problem of inaccurate urban recommendation tour methods in the existing technology has been solved, and more efficient tourism promotion and cultural dissemination have been achieved.
Patent Information
- Application Number
- CN202510217486.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-02-26
AI Technical Summary
The existing technology lacks judgment based on urban residents' activity data and cultural building basic data and defect data in urban tourism promotion, resulting in inaccurate urban recommendation tour methods, which may cause traffic congestion, excessive load burden on cultural buildings and reduced tourism revenue.
By obtaining urban public data, building a three-dimensional urban model, and collecting information on urban residents' activity points and cultural building characteristics in real time, the cultural promotion methods and strategies of the city are determined based on these data, including field tours and cloud tours.
It improves the accuracy of recommended tour methods in cities, avoids traffic congestion and excessive cultural buildings, ensures tourism revenue, and improves the experience of cloud tours and the effect of urban cultural communication.
Smart Images

Figure CN119692956B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of public data technology, and in particular to a public data processing method and system. Background Art
[0002] With the rapid development of information technology and the advent of the big data era, the data of urban residents has become increasingly important. These data can not only reflect the living conditions, consumption habits and demand preferences of residents, but also have an important impact on urban planning, economic development and the promotion of tourism. Especially in the tourism industry, by analyzing the data of urban residents, more accurate travel recommendations can be made, thereby improving the experience of tourists and promoting the development of the tourism industry.
[0003] Prior art, such as the invention patent application with announcement number: CN114372642A, discloses a method for risk assessment of urban holiday tourist attractions. Step 1: Determine and obtain data on factors affecting scenic spot tourism risks. Step 2: Use linear assumptions to describe fixed factors that affect scenic spot risks. Step 3: Use RBF networks to describe floating factors that affect scenic spot risks. Step 4: Combine the fixed factor impact and floating factor impact to obtain a scenic spot risk model. Step 5: Use the scenic spot risk model to conduct risk assessment, and use RBF network learning to improve the accuracy of the model description. This invention combines the business needs of urban holiday tourist scenic spot management and scheduling, and can quantitatively reflect the risk situation of tourist attractions from data on scenic spot weather, historical average tourist reception, scenic spot hidden dangers, rescue force distribution, scenic spot passenger flow, tourist complaints, etc., and invest limited rescue forces in key locations to improve the accuracy of rescue and reduce the probability of risk occurrence.
[0004] There are still certain defects in the existing technology, which are specifically reflected in the following aspects: there are few existing technologies that judge the recommended tour methods of the city based on the city’s resident activity data and the basic data and defect data of cultural buildings, so as to provide convenience for the city’s tourism promotion, which leads to inaccurate recommended tour methods for the city. On the one hand, it is easy to cause traffic congestion and affect the normal life of urban residents, and it is easy to increase the carrying burden of cultural buildings and cause harm to cultural buildings. On the other hand, it is easy to reduce the city’s tourism revenue, which is not conducive to the dissemination of urban cultural buildings and causes waste of urban resources. At the same time, the follow-up attention to determining the recommended tour methods of the city is not high. If the promoted on-site tour routes are not adjusted in time, the dissemination balance of the on-site tour tourism plan will be reduced, and the subsequent urban traffic burden will be increased. If the actual collection equipment of cultural buildings is not adjusted, the experience of tourists’ cloud tours will be affected, thereby reducing the effect of urban cultural dissemination. Summary of the invention
[0005] The purpose of the present invention is to provide a public data processing method and system to solve the problems existing in the background technology.
[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a public data processing method, including: S1. Acquisition of urban public data, obtaining the city planning map from the urban service platform, constructing a three-dimensional model of the city, and through the urban public data collection terminal, real-time collection of urban residents' activity points, sharing them in the three-dimensional model of the city, and collecting characteristic information of urban cultural buildings.
[0007] S2. Determine the city’s cultural promotion methods based on the characteristic information of the city’s cultural buildings and the city’s three-dimensional model. The cultural promotion methods include on-site tours and cloud tours.
[0008] S3. Urban cultural promotion processing: determine the city’s cultural promotion strategy in the current cycle based on the city’s cultural promotion methods in the current cycle.
[0009] The second aspect of the present invention provides a system for executing the public data processing method described in the present invention, including: an urban public data acquisition module, which is used to obtain a city planning map from an urban service platform, construct a three-dimensional model of the city, and collect urban residents' activity points in real time through an urban public data collection terminal, share them in the three-dimensional model of the city, and collect characteristic information of urban cultural buildings.
[0010] The city culture promotion method determination module is used to determine the city's cultural promotion methods based on the characteristic information of the city's cultural buildings and combined with the city's three-dimensional model, where the cultural promotion methods include on-site tours and cloud tours.
[0011] The city culture promotion processing module is used to determine the city's cultural promotion strategy in the current cycle based on the city's cultural promotion methods in the current cycle.
[0012] The beneficial effects of the present invention are as follows: 1. The present invention first constructs the relationship expressions between the tourist parameters and the building risk indicator parameters of each cultural building and the relationship expressions between the tourist parameters and the convenience of residents' lives based on the city's resident activity data and the basic data and defect data of cultural buildings, and then predicts the building risk indicator parameters of each cultural building in the city and the convenience of residents' lives in the city in the current period, so as to judge the recommended tour mode of the city, which makes up for the shortcomings of the prior art and improves the accuracy of the recommended tour mode of the city. On the one hand, it avoids traffic congestion and affects the normal life of urban residents, reduces the carrying burden of cultural buildings, and alleviates the harm to cultural buildings. On the other hand, it ensures the city's tourism income, is conducive to the dissemination of urban cultural buildings, and reduces the waste of urban resources.
[0013] 2. The present invention not only timely adjusts the display method of the on-site tour plan to ensure the balanced dissemination of the on-site tour plan, thereby avoiding increasing the subsequent urban traffic burden, but also adjusts the layout of the real-scene acquisition equipment of the cultural buildings to ensure the comprehensiveness and accuracy of the initial data of the subsequent cloud tour, thereby improving the tourists' cloud tour experience and ensuring the urban cultural dissemination effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0015] Figure 1 The present invention is a flow chart of the method.
[0016] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION
[0017] 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.
[0018] Reference Figure 1 As shown, the present invention provides a public data processing method, including: S1. Acquisition of urban public data, obtaining a city planning map from an urban service platform, constructing a three-dimensional model of the city, and through an urban public data collection terminal, real-time collection of urban resident activity points, sharing them in the three-dimensional model of the city, and collecting characteristic information of urban cultural buildings.
[0019] It should be noted that the collection of characteristic information of urban cultural buildings specifically involves obtaining basic data and defect data of each cultural building from the urban cultural building management center.
[0020] It should also be noted that due to the particularity of cultural buildings, staff need to conduct defect detection on cultural buildings. They can use drones or monitoring to identify the defect parameters of cultural buildings and then upload them to the city's cultural building management center to facilitate subsequent management personnel to repair the cultural buildings.
[0021] S2. Determine the city’s cultural promotion methods based on the characteristic information of the city’s cultural buildings and the city’s three-dimensional model. The cultural promotion methods include on-site tours and cloud tours.
[0022] In a specific embodiment of the present invention, the characteristic information of the urban cultural buildings includes basic data and defect data of each cultural building.
[0023] The basic data includes land area, road area, land area of each functional area, associated event set and repair event set.
[0024] It should be noted that the functional areas include exhibition functional areas, performance functional areas and leisure functional areas.
[0025] The defect data includes defect parameters corresponding to each historical period, and the defect parameters include each defect type and its corresponding defect characteristic parameter.
[0026] It should be noted that the various defect types include peeling, scratches, wear and discoloration, etc., and the defect characteristic parameter is specifically expressed as area.
[0027] In a specific embodiment of the present invention, the method for determining the cultural promotion method of the city in the current period is specifically determined as follows: based on the three-dimensional model of the city, combined with the nodes of each historical period of each cultural building in the characteristic information of the city's cultural buildings, the tourist parameters of each historical period of each cultural building are obtained, wherein the tourist parameters include the number of tourists, a set of tourist behavior action types, and based on this, a relationship expression is formed between the tourist parameters of each cultural building and the building risk indicator parameters.
[0028] It should be noted that, for example, if the year is divided into four seasons according to the seasons, then the nodes of each historical cycle of each cultural building are four nodes, and the interval between historical cycles is 3 months; for example, if the year is divided into 12 months according to the month, then the nodes of each historical cycle of each cultural building are 12 nodes, and the interval between historical cycles is 1 month.
[0029] The traffic parameters of each historical period of the city are obtained from the three-dimensional urban model, where the traffic parameters include the congestion type, congestion duration, and traffic event set of each road. Based on this, the relationship expression between tourist parameters and residents' living convenience is constructed.
[0030] It should be noted that the congestion types are specifically small, medium, large and extra-large. The congestion types are specifically determined based on the number of congested vehicles. The number of congested vehicles on each road in each historical period of the city is compared with the number of congested vehicles corresponding to each congestion type preset in the database, and the congestion types of each road in each historical period of the city are screened out.
[0031] It should also be noted that the traffic event set is specifically a traffic accident event set.
[0032] Predict the current period tourist parameters of each cultural building and the current period traffic parameters of the city, and based on the relationship expression between tourist parameters and risk indicator parameters of cultural buildings and the relationship expression between tourist parameters and the convenience of urban residents' lives, predict the risk indicator parameters of each cultural building and the convenience of urban residents' lives , and screen the proportion M of risky cultural buildings.
[0033] It should be noted that the specific prediction method for predicting the number of tourists in each cultural building and the traffic parameters in the city in the current period is as follows:
[0034] Based on the nodes of the current cycle of the city and the nodes of each historical cycle of each cultural building, the historical cycles of the same node are extracted as the reference cycles of each cultural building in the current cycle, and the number of tourists in each reference cycle of each cultural building in the current cycle is averaged to predict the number of tourists of each cultural building in the current cycle. The set of tourist behavior action types of each cultural building in each reference cycle of the current cycle is summarized to predict the set of behavior action types of each cultural building in the current cycle. Similarly, the congestion type, congestion duration and event set of each road in the city in the current cycle are predicted.
[0035] It should also be noted that the specific prediction method for predicting the risk indicator parameters of each cultural building and the convenience of life of urban residents is as follows: based on the consistent analysis method of the overload risk value and action risk value of each cultural building in each historical period, the overload risk value and action risk value of each cultural building in the current period are evaluated, and consistent with the analysis method of the convenience of life of residents in each historical period of the city, the convenience of life of residents in the city in the current period is evaluated, and then imported into the relationship expression between tourist parameters and risk indicator parameters of cultural buildings and the relationship expression between tourist parameters and the convenience of life of urban residents, and the risk indicator parameters of each cultural building and the convenience of life of urban residents are output.
[0036] The proportion of risky cultural buildings in cities and the convenience of urban residents’ lives are introduced into the model for determining cultural promotion methods. In the process, the city’s cultural promotion methods in the current cycle are exported.
[0037] In the formula, B is the cultural promotion method of the city in the current period, E and F represent on-site tours and online tours respectively, and M, M', They are respectively expressed as the ratio of risk culture buildings, the ratio of allowable risk culture buildings stored in the database, and the convenience of life for residents in the demanding city.
[0038] In a specific embodiment of the present invention, the relationship expression between the tourist parameters of each cultural building and the building risk indicator parameters is constructed in the following manner: based on the road area in the basic data of each cultural building , the area occupied by each functional area , assess the number of tourists allowed to be accommodated by each cultural building ,in , They are respectively represented by the number of tourists allowed to be carried per unit road area and the number of tourists allowed to be carried per unit area of the mth functional area stored in the database. is the floor symbol, is the number of each cultural building. , is any integer greater than 2, is the number of each functional area, , is any integer greater than 2.
[0039] Number of visitors in each historical period based on each cultural building and the set of tourist behavior action types to evaluate the overload risk value of each cultural building in each historical period and action risk value , where D' is the set of risk behavior action types of tourists preset in the database, is the number of each historical cycle, , is any integer greater than 2.
[0040] It should be noted that the tourist behavior action type set includes slow walking, fast walking, running, alteration and etching, etc., and the tourist risk behavior action type set includes alteration, etching, etc.
[0041] Defect types and their corresponding defect characteristic parameters based on each historical period of each cultural building , evaluate and obtain the architectural risk indicator parameters of each cultural building in each historical period ,in is the allowable defect characteristic parameter corresponding to the j-th defect type preset in the database, is the number of each defect type, , is any integer greater than 2.
[0042] Import the overload risk value, action risk value and building risk indicator parameters of each historical period of each cultural building into the first training model according to the preset method ,in is the building risk indicator parameter, , are overload risk value and action risk value respectively. , , They are the constant term, the correction factor of the overload risk value, and the correction factor of the action risk value. The parameters to be determined for each cultural building are obtained by solving the parameters to be determined for each cultural building. , thus obtaining the relationship expression between the tourist parameters of each cultural building and the building risk indicator parameters .
[0043] It should be noted that the preset method is to use the overload risk value, action risk value and building risk indicator parameters of each historical period of each cultural building, and two historical periods are grouped as a group and brought into the training model.
[0044] It should also be noted that the specific method for determining the parameters to be determined for each cultural building is as follows: each group of parameters to be determined for each cultural building and the overload risk value and action risk value of each historical period are brought into the first training model to obtain the predicted building risk indicator parameters of each cultural building in each historical period in each group of parameters to be determined, and the predicted building risk indicator parameters are compared with the building risk indicator parameters of each historical period of each cultural building to obtain the predicted building risk indicator parameter deviation value of each cultural building in each historical period in each group of parameters to be determined, and the predicted building risk indicator parameter deviation value is compared with the preset allowed predicted building risk indicator parameter deviation value. The risk indicator parameter deviation threshold is compared. If the predicted building risk indicator parameter deviation value of a group of parameters to be determined in a certain historical period of a cultural building is less than the allowed predicted building risk indicator parameter deviation threshold, then the group of parameters to be determined is recorded as the target determination parameters, and the target determination parameters of each historical period of each cultural building are obtained. The historical periods of each target determination parameter of each cultural building are mapped, and the number of historical periods of each target determination parameter of each cultural building is counted, and the target determination parameter with the largest number of historical periods is selected as the parameter to be determined for each cultural building.
[0045] In a specific embodiment of the present invention, the relationship expression between the tourist parameters and the convenience of residents' lives is constructed in the following way: based on the traffic parameters of each historical period of the city, the traffic parameters include the congestion type and congestion duration of each road. , Traffic event collection , evaluate the convenience of residents' lives in each historical period of the city ,in is the risk factor of the congestion type of the hth road in the pth historical period of the city, is a set of risky traffic events preset in the database. is the number of each road, , is any integer greater than 2.
[0046] It should be noted that the risk factors of the congestion types of each road in each historical period of the city are specifically: based on the congestion types of each road in each historical period of the city, combined with the risk factors corresponding to each congestion type preset in the database, the risk factors of the congestion types of each road in each historical period of the city are screened out.
[0047] Based on the overload risk value of each cultural building in each historical period, the overload risk value of each cultural building in each historical period is mapped, and the overload risk value is averaged to obtain the average overload risk value of each historical period.
[0048] The convenience of residents' lives and the average overload risk value of each historical period of the city are successively brought into the second training model ,in To make life more convenient for residents, is the average overload risk value, , , are the constant term and the correction factor of the average overload risk value, respectively. The characteristic quantities to be determined in each group are obtained by analysis, and the determined characteristic quantities are selected to obtain the relationship expression between the determined tourist parameters and the convenience of residents' life. .
[0049] It should be noted that the method of selecting and determining the characteristic quantity is consistent with the method of determining the parameters to be determined of each cultural building.
[0050] In a specific embodiment of the present invention, the screening risk cultural building quantity ratio M is specifically screened by: extracting the associated event set of each cultural building from the characteristic information of the urban cultural building and repair event collection , and assess the protection confidence of each cultural building ,in , They are respectively represented as a reference association event set and a reference repair event set stored in the database.
[0051] It should be noted that the set of associated events of the cultural building is specifically important historical activities associated with the cultural building, and the set of repair events of the cultural building is specifically events of historical repair of the cultural building.
[0052] It should also be noted that the reference association event set is a set of all important historical activities, and the reference repair event set is a set of repair events defined by repair personnel.
[0053] The protection confidence of each cultural building is compared with the protection confidence interval corresponding to each allowable risk indicator parameter stored in the database, and the allowable risk indicator parameter of each cultural building is screened out.
[0054] The risk indicator parameters of each cultural building are compared with the allowable risk indicator parameters. If the risk indicator parameter of a cultural building is greater than the allowable risk indicator parameter, the cultural building is recorded as a risky cultural building, and the risky cultural buildings are obtained and the number of risky cultural buildings is statistically obtained.
[0055] The present invention first constructs the relationship expressions between the tourist parameters and the building risk indicator parameters of each cultural building and the relationship expressions between the tourist parameters and the convenience of residents' lives based on the city's resident activity data and the basic data and defect data of cultural buildings, and then predicts the building risk indicator parameters of each cultural building in the city and the convenience of residents' lives in the city in the current period, so as to judge the recommended tour mode of the city, which makes up for the shortcomings of the prior art and improves the accuracy of the recommended tour mode of the city. On the one hand, it avoids traffic congestion and affects the normal life of urban residents, reduces the carrying burden of cultural buildings, and alleviates the harm to cultural buildings. On the other hand, it ensures the city's tourism income, is conducive to the dissemination of urban cultural buildings, and reduces the waste of urban resources.
[0056] S3. Urban cultural promotion processing: determine the city’s cultural promotion strategy in the current cycle based on the city’s cultural promotion methods in the current cycle.
[0057] In a specific embodiment of the present invention, the cultural promotion strategy of the city in the current period is determined according to the cultural promotion method of the city in the current period, and the specific determination method is: if the cultural promotion method of the city in the current period is on-site sightseeing, then combined with the predicted traffic parameters of the city in the current period, the recommended sightseeing routes of the various tourism plans of the city in the current period are fitted, and displayed on the cultural promotion platform, the display method of the cultural promotion platform is adjusted according to the display data, and the shuttle bus parameters are set for the city in the current period, thereby generating the on-site sightseeing promotion strategy of the city in the current period.
[0058] It should be noted that the specific method of fitting the recommended tour routes of the city in the current cycle is: based on the location points of each cultural building in the city, combined with the predicted congestion type and congestion duration of each road in the city in the current cycle and event collection , evaluate the risk level of each road in the city in the current period, and color-label each road in the three-dimensional model of the city, and remove each risk color road in the three-dimensional model of the city, take each cultural building as each node, generate each combination node, and then take each road as a link to generate each tour route of each combination node, and obtain the path length of each tour route of each combination node. If the path length of a tour route is within the path length interval of suitable tour routes stored in the database, then the tour route is recorded as a recommended tour route, and the recommended tour routes of each combination node are obtained, which are recorded as the recommended tour routes of each tourism plan of the city in the current period.
[0059] It should also be added that the risk level of each road in the city in the current cycle is evaluated by the following specific evaluation method: ,in To predict the risk factor of the congestion type of the hth road in the city, the risk indicator coefficients of each road in the city in the current period are compared with the risk indicator coefficient intervals corresponding to each risk level preset in the database, and the risk level of each road in the city in the current period is screened out.
[0060] The specific method of color-labeling each road in the three-dimensional model of the city is as follows: based on the risk level of each road in the city in the current period, combined with the labeling colors corresponding to each risk level preset in the database, the labeling colors of each road in the city in the current period are screened and the color of each road is labeled in the three-dimensional model of the city.
[0061] In a specific embodiment, for example, each risk level includes level one risk, level two risk and level three risk, where level one risk>level two risk>level three risk, the marking color corresponding to level one risk is red, the color corresponding to level two risk is orange, and the color corresponding to level three risk is green, then each road in red color is recorded as a risk color road.
[0062] If the cultural promotion method of the city in the current cycle is cloud tour, then the real-scene acquisition equipment layout map of each cultural building in the city in the current cycle is obtained, and then the real-scene acquisition equipment layout map of each cultural building in the city is optimized, so as to generate the cloud tour promotion strategy of the city in the current cycle.
[0063] In a specific embodiment of the present invention, the method of adjusting the display of the cultural promotion platform according to the display data and setting the shuttle bus parameters for the city in the current cycle is as follows: the display data includes the number of views of each tourism plan of the city in the current cycle. , downloads and forwarding volume , import it into the recommended indication factor evaluation model In the output, the recommended indicator factors of each tourism plan of the city in the current period are , , They are respectively represented by the influence weight factors corresponding to the preset views, downloads and forwarding volumes, is the number of each travel plan, , is any integer greater than 2.
[0064] The tourism plans of the city in the current cycle will be displayed again on the cultural promotion platform in the order of recommended indicator factors from large to small, and after a preset time interval, the recommended indicator factors of the tourism plans of the city in the current cycle will be re-evaluated and displayed again on the cultural promotion platform, and so on, so as to adjust the display method of the cultural promotion platform.
[0065] The total number of views, downloads, and forwardings of each tourism plan of the city in the current cycle after the display is completed is obtained, the recommendation indicator factors of each tourism plan of the city in the current cycle are evaluated, and the recommended indicator factors are inverted to obtain the popularity index of each tourism plan of the city in the current cycle.
[0066] The popularity indexes of various tourism plans of the city in the current period are normalized to obtain the processed popularity indexes of various tourism plans of the city in the current period. If the popularity index of a tourism plan of the city in the current period is greater than or equal to the preset popularity index, the tourism plan is recorded as a hot spot plan, and the hot spots of the city in the current period are obtained by screening.
[0067] Obtain the recommended tour routes of each hotspot plan in the current period of the city, and combine with the three-dimensional model of the city to obtain the number of overlaps of each road in the current period of the city. If the number of overlaps of a road in the current period of the city is greater than or equal to the preset overlap threshold, then the road is recorded as a hotspot road. The hotspot roads are screened and recorded as roads for setting up shuttle buses, and the parameters for setting up shuttle buses in the current period of the city are summarized.
[0068] In a specific embodiment of the present invention, the real-scene acquisition equipment layout diagram of each cultural building in the optimized city is optimized by a specific optimization method: an initial three-dimensional model of each cultural building is obtained from a database, and each cultural building is divided into a number of spatial areas to obtain a number of spatial areas of each cultural building.
[0069] Based on the real-scene acquisition equipment arranged in each cultural building, the holographic images of each cultural building are collected, and the holographic images of each cultural building are divided into holographic images of several spatial areas.
[0070] The spatial areas of each cultural building are compared with the holographic image. If the holographic image of a certain spatial area does not exist, the spatial area is recorded as a compensation area to obtain the compensation areas of each cultural building. In the real scene acquisition equipment layout map of each cultural building, a new real scene acquisition equipment marking point is added to each compensation area to optimize the real scene acquisition equipment layout map of each cultural building in the city.
[0071] The present invention not only timely adjusts the display method of the on-site tour plan to ensure the dissemination balance of the on-site tour plan, thereby avoiding increasing the subsequent urban traffic burden, but also adjusts the layout of the real-scene acquisition equipment of the cultural buildings to ensure the comprehensiveness and accuracy of the initial data of the subsequent cloud tour, thereby improving the tourists' cloud tour experience and ensuring the city's cultural dissemination effect.
[0072] The second aspect of the present invention provides a system for executing the public data processing method of the present invention, comprising: a city public data acquisition module, a city culture promotion method determination module and a city culture promotion processing module.
[0073] It should be noted that the present invention also includes a database for storing the proportion of cultural buildings with allowable risks, the convenience of life of urban residents, the number of tourists allowed to be carried per unit road area, the number of tourists allowed to be carried per unit area of each functional area, a set of tourist risk behavior action types, allowable defect characteristic parameters corresponding to each defect type, a set of risk traffic events, a set of reference related events, a set of reference repair events, a protection confidence interval corresponding to each allowable risk indicator parameter, an initial three-dimensional model of each cultural building, the number of congested vehicles corresponding to each congestion type, the risk factor corresponding to each congestion type, a path length interval of a suitable tour route, a risk indicator coefficient interval corresponding to each risk level, and a marking color corresponding to each risk level.
[0074] It should also be noted that the urban public data acquisition module is connected to the urban culture promotion method determination module, the urban culture promotion method determination module is connected to the urban culture promotion processing module, and the database is connected to the urban culture promotion method determination module and the urban culture promotion processing module respectively.
[0075] The urban public data acquisition module is used to obtain the city planning map from the urban service platform, build a three-dimensional city model, and collect urban residents' activity points in real time through the urban public data collection terminal, share them in the three-dimensional city model, and collect characteristic information of urban cultural buildings.
[0076] The city culture promotion method determination module is used to determine the city's cultural promotion method based on the characteristic information of the city's cultural buildings in combination with the city's three-dimensional model, where the cultural promotion methods are on-site tours and cloud tours.
[0077] The city culture promotion processing module is used to determine the city's cultural promotion strategy in the current period according to the city's cultural promotion method in the current period.
[0078] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.
Claims
1. A public data processing method, characterized in that: include: S1. Acquisition of urban public data: obtaining urban planning maps from the urban service platform, building a three-dimensional urban model, and collecting urban resident activity points in real time through the urban public data collection terminal, sharing them in the three-dimensional urban model, and collecting characteristic information of urban cultural buildings; S2. Determine the city's cultural promotion method, based on the characteristic information of the city's cultural buildings and combined with the city's three-dimensional model, determine the city's cultural promotion method, where the cultural promotion method is on-site tour and online tour; The specific method for determining the cultural promotion method of the city in the current cycle is as follows: According to the three-dimensional model of the city, combined with the nodes of each historical period of each cultural building in the characteristic information of the urban cultural buildings, the tourist parameters of each historical period of each cultural building are obtained, wherein the tourist parameters include the number of tourists and the set of tourist behavior action types, and the relationship expression between the tourist parameters of each cultural building and the architectural risk indicator parameters is obtained accordingly; Obtain the traffic parameters of each historical period of the city from the three-dimensional model of the city, including the congestion type, congestion duration, and traffic event set of each road, and construct the relationship expression between the tourist parameters and the convenience of residents' life based on this; Predict the current period tourist parameters of each cultural building and the current period traffic parameters of the city, and based on the relationship expression between tourist parameters and risk indicator parameters of cultural buildings and the relationship expression between tourist parameters and the convenience of urban residents' lives, predict the risk indicator parameters of each cultural building and the convenience of urban residents' lives , and screen the proportion of risky cultural buildings M; The proportion of risky cultural buildings in cities and the convenience of urban residents’ lives are introduced into the model for determining cultural promotion methods. In the middle, the cultural promotion methods of the output city in the current cycle; In the formula, B is the cultural promotion method of the city in the current period, E and F represent on-site tour and online tour respectively, and M, M', They are respectively expressed as the ratio of risk culture buildings, the ratio of allowable risk culture buildings stored in the database, and the convenience of life for residents in the demanding city; S3. Urban cultural promotion processing: determine the city’s cultural promotion strategy in the current cycle based on the city’s cultural promotion methods in the current cycle.
2. A method for processing public data according to claim 1, characterized in that: The characteristic information of the urban cultural buildings includes basic data and defect data of each cultural building; The basic data includes land area, road area, land area of each functional area, associated event set and repair event set; The defect data includes defect parameters corresponding to each historical period, and the defect parameters include each defect type and its corresponding defect characteristic parameter.
3. A method for processing public data according to claim 2, characterized in that: The relationship expression between the visitor parameters of each cultural building and the building risk indicator parameters is constructed in the following specific manner: Road area based on basic data of each cultural building , the area occupied by each functional area , assess the number of tourists allowed to be accommodated by each cultural building ,in , They are respectively represented by the number of tourists allowed to be carried per unit road area and the number of tourists allowed to be carried per unit area of the mth functional area stored in the database. is the floor symbol, is the number of each cultural building. , is any integer greater than 2, is the number of each functional area, , is any integer greater than 2; Number of visitors in each historical period based on each cultural building and the set of tourist behavior action types to evaluate the overload risk value of each cultural building in each historical period and action risk value , where D' is the set of risk behavior action types of tourists preset in the database, is the number of each historical cycle, , is any integer greater than 2; Defect types and their corresponding defect characteristic parameters based on each historical period of each cultural building , evaluate and obtain the architectural risk indicator parameters of each cultural building in each historical period ,in is the allowable defect characteristic parameter corresponding to the j-th defect type preset in the database, is the number of each defect type, , is any integer greater than 2; Import the overload risk value, action risk value and building risk indicator parameters of each historical period of each cultural building into the first training model according to the preset method ,in is the building risk indicator parameter, , are overload risk value and action risk value respectively. , , They are the constant term, the correction factor of the overload risk value, and the correction factor of the action risk value. The parameters to be determined for each cultural building are obtained by solving the parameters to be determined for each cultural building. , thus obtaining the relationship expression between the tourist parameters of each cultural building and the building risk indicator parameters .
4. A method for processing public data according to claim 3, characterized in that: The specific construction method of constructing the relationship expression between the tourist parameters and the convenience of residents' life is as follows: Based on the traffic parameters of each historical period of the city, the traffic parameters include the congestion type and congestion duration of each road , Traffic event collection , evaluate the convenience of residents' lives in each historical period of the city ,in is the risk factor of the congestion type of the hth road in the pth historical period of the city, is a set of risky traffic events preset in the database. is the number of each road, , is any integer greater than 2; Based on the overload risk values of each cultural building in each historical period, the overload risk values of each cultural building in each historical period are mapped and averaged to obtain the average overload risk value of each historical period. The convenience of residents' lives and the average overload risk value of each historical period of the city are successively brought into the second training model ,in To make life more convenient for residents, is the average overload risk value, , , are the constant term and the correction factor of the average overload risk value, respectively. The characteristic quantities to be determined in each group are obtained by analysis, and the determined characteristic quantities are selected to obtain the relationship expression between the determined tourist parameters and the convenience of residents' life. .
5. A method for processing public data according to claim 2, characterized in that: The specific screening method for the screening risk cultural building quantity ratio M is as follows: Extract the associated event set of each cultural building from the characteristic information of urban cultural buildings and repair event collection , and assess the protection confidence of each cultural building ,in , They are respectively represented as a reference association event set and a reference repair event set stored in the database; Compare the protection confidence of each cultural building with the protection confidence interval corresponding to each allowable risk indicator parameter stored in the database, and screen out the allowable risk indicator parameter of each cultural building; The risk indicator parameters of each cultural building are compared with the allowable risk indicator parameters. If the risk indicator parameter of a cultural building is greater than the allowable risk indicator parameter, the cultural building is recorded as a risky cultural building, and the risky cultural buildings are obtained and the number of risky cultural buildings is statistically obtained.
6. A method for processing public data according to claim 1, characterized in that: The cultural promotion strategy of a city in the current period is determined according to the cultural promotion method of the city in the current period. The specific determination method is as follows: If the cultural promotion method of the city in the current cycle is on-site tours, then the recommended tour routes of the various tourism plans of the city in the current cycle are fitted in combination with the predicted traffic parameters of the city in the current cycle, and they are displayed on the cultural promotion platform. The display method of the cultural promotion platform is adjusted according to the display data, and the shuttle bus parameters are set for the city in the current cycle, thereby generating the on-site tour promotion strategy of the city in the current cycle; If the cultural promotion method of the city in the current cycle is cloud tour, then the real-scene acquisition equipment layout map of each cultural building in the city in the current cycle is obtained, and then the real-scene acquisition equipment layout map of each cultural building in the city is optimized, so as to generate the cloud tour promotion strategy of the city in the current cycle.
7. A method for processing public data according to claim 6, characterized in that: The specific method of adjusting the display method of the cultural promotion platform according to the display data and setting the shuttle bus parameters for the city in the current cycle is as follows: The display data includes the number of views of each tourism plan of the city in the current period , downloads and forwarding volume , import it into the recommended indication factor evaluation model In the output, the recommended indicator factors of each tourism plan of the city in the current period are , , They are respectively represented by the influence weight factors corresponding to the preset views, downloads and forwarding volumes, is the number of each travel plan, , is any integer greater than 2; Re-display the city's tourism plans in the current cycle on the cultural promotion platform in descending order of recommended indicator factors, and re-evaluate the recommended indicator factors of the city's tourism plans in the current cycle after a preset time interval, and re-display them on the cultural promotion platform, and so on, adjusting the display method of the cultural promotion platform; Filter the hot spots of the city in the current period, and obtain the recommended tour routes of the hot spots in the current period. Combined with the three-dimensional model of the city, obtain the number of overlaps of the roads in the current period, filter out the hot spots, and record them as the roads for setting up shuttle buses. Summarize the parameters for setting up shuttle buses in the current period.
8. A method for processing public data according to claim 6, characterized in that: The specific optimization method of the layout diagram of the real scene acquisition equipment of each cultural building in the optimized city is as follows: An initial three-dimensional model of each cultural building is obtained from a database, and each cultural building is divided into a number of spatial regions to obtain a number of spatial regions of each cultural building; Based on the real scene acquisition equipment arranged in each cultural building, the holographic images of each cultural building are collected, and the holographic images of each cultural building are divided into holographic images of several spatial areas; The spatial areas of each cultural building are compared with the holographic image. If the holographic image of a certain spatial area does not exist, the spatial area is recorded as a compensation area to obtain the compensation areas of each cultural building. In the real scene acquisition equipment layout map of each cultural building, a new real scene acquisition equipment marking point is added to each compensation area to optimize the real scene acquisition equipment layout map of each cultural building in the city.
9. A system for executing the public data processing method according to any one of claims 1 to 8, characterized in that: include: The urban public data acquisition module is used to obtain the urban planning map from the urban service platform, build a three-dimensional urban model, and collect the activity points of urban residents in real time through the urban public data collection terminal, share them in the three-dimensional urban model, and collect the characteristic information of urban cultural buildings; The city cultural promotion method determination module is used to determine the city's cultural promotion method based on the characteristic information of the city's cultural buildings and the city's three-dimensional model, where the cultural promotion methods include on-site tours and cloud tours; The city culture promotion processing module is used to determine the city's cultural promotion strategy in the current cycle based on the city's cultural promotion methods in the current cycle.
Citation Information
Patent Citations
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