Park commercial operation management method and device based on artificial intelligence

Abstract

The invention provides a park commercial operation management method and device based on artificial intelligence. The method comprises the following steps: dividing a business park to obtain park area blocks, and performing monitoring configuration; controlling each monitoring unit to perform illumination monitoring at a preset monitoring date to obtain each illumination reference data; receiving a demand request sent by any resource demand end, obtaining a resource scale demand and a resource illumination demand, and combining the park area blocks in a to-be-allocated state to obtain each to-be-allocated area; performing scale screening, and determining the to-be-allocated areas meeting the resource scale requirements as scale conforming groups; performing illumination screening on the to-be-allocated areas in the scale conforming group, and determining the to-be-allocated areas meeting the resource illumination requirements as an illumination conforming group; and obtaining each region position of the to-be-allocated region in the illumination coincidence group, determining each resource use cost, and sending each resource use cost and each region position to a resource demand end. According to the invention, the management efficiency of the park is at least improved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to an artificial intelligence-based park commercial operation management method and device. Background Art

[0002] In recent years, the popularity of camping activities has continued to rise and gradually entered the lives of the general public. More and more people choose to camp in their leisure time to get close to nature and experience outdoor life.

[0003] The inventor discovered during research that as more and more tourists go to the park to camp, the park management office is unable to accurately plan the size of the area where tourists camp and to rationally handle the tourists' camping needs, which makes it difficult for the park management office to manage the camping tourists. Summary of the invention

[0004] Based on the above problems, the present invention is proposed to provide an artificial intelligence-based park commercial operation management method and device that overcomes the above problems or at least partially solves the above problems.

[0005] According to one aspect of the present invention, there is provided a park commercial operation management method based on artificial intelligence, comprising the following steps: Based on the preset resource division strategy, the regional resources of the business park are divided, and the monitoring configuration of each corresponding monitoring unit is performed on each obtained park area block; Based on the monitoring configuration, each monitoring unit is controlled to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain light reference data corresponding to each park area block; In response to receiving a demand request sent by any resource demand end, obtaining the resource scale demand and resource illumination demand corresponding to the resource demand end, and combining adjacent park area blocks in the business park in a to-be-allocated state to obtain each to-be-allocated area; Screening the scale of each area to be allocated based on the resource scale requirement, and determining all areas to be allocated that meet the resource scale requirement as a scale-compliant group; Performing illumination screening on each area to be allocated in the size-compliant group based on the resource illumination requirement, and determining all areas to be allocated that meet the resource illumination requirement as an illumination-compliant group; The locations of each area corresponding to all the areas to be allocated in the illumination compliance group are obtained, the resource usage fees are determined based on the locations of each area, and the obtained resource usage fees and the locations of each area are sent to the resource demand end.

[0006] Optionally, in the method according to the present invention, dividing the regional resources of the business park based on a preset resource division strategy includes: Acquire a top view corresponding to the business park, and perform grid processing on the top view to obtain grid area blocks having preset block sizes; Acquire a park outline corresponding to the business park in the upper view, determine all grid area blocks overlapping the park outline as an area block integration group, and determine all remaining grid area blocks in the park outline as individual park area blocks; Based on the park outline, all grid area blocks located in the area block integration group are divided into area blocks respectively to obtain the in-park area blocks located within the park outline; Determine the size of each area block in the park respectively, obtain the size of each area block corresponding to each area block in the park respectively, and determine all area blocks in the park whose corresponding area block size is greater than or equal to half of the preset block size as each park area block respectively, and determine all area blocks in the park whose corresponding area block size is less than half of the preset block size as each area block to be integrated respectively; The park area blocks adjacent to the area blocks to be integrated are determined, and the area blocks to be integrated are regionally integrated with the corresponding park area blocks to obtain new park area blocks.

[0007] Optionally, in the method according to the present invention, the size of each area block in the park is determined separately, including: Determine the overlapping contour line segments of the park contour located in each area block within the park, and determine the contour starting point and the contour end point based on the line segment extension direction of each overlapping contour line segment; Determining the area center point of each grid area block that includes each in-garden area block, and judging whether the area center point is located in the corresponding in-garden area block; When the center point of the region is located in the corresponding area block in the garden, the contour starting point and the contour end point are connected to the center point of the region by line segments to obtain a starting point connection line and an end point connection line; Based on the coincident contour line segments, the original contour line segments in each garden area block are respectively obtained, and a size calculation area is formed based on the starting point connection line, the end point connection line and the original contour line segments corresponding to the same garden area block, and the size of the size calculation area is determined; When the area center point is outside the area block in the garden, the contour start point and the contour end point are connected by a line segment to obtain a contour extension line; Based on the overlapping contour line segments, the original contour line segments located in each garden area block are respectively obtained, and based on the contour extension line corresponding to the same garden area block and the original contour line segments, a size calculation area is formed, and the size of the size calculation area is determined.

[0008] Optionally, in the method according to the present invention, based on the monitoring configuration, each monitoring unit is controlled to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain each light reference data corresponding to each park area block, including: Establishing a scheduled monitoring task, wherein the scheduled monitoring task corresponds to different preset monitoring dates having the same preset period between adjacent ones; The current real-time date is acquired, and in response to the current real-time date reaching any preset monitoring date, each monitoring unit is controlled to perform continuous all-day light monitoring, so as to obtain the light status of the same park area block in different business hours, wherein the light status includes abundant state, moderate state and weak state; The lighting status corresponding to the same park area block during different business hours is determined as the lighting reference data of the park area block in a reference date period starting from the current real-time date and lasting for the preset period, and the lighting reference data corresponding to each park area block is obtained.

[0009] Optionally, in the method according to the present invention, in response to the current real-time date reaching any preset monitoring date, each monitoring unit is controlled to perform continuous all-day light monitoring to obtain the light status of the same park area during different business hours, including: Obtaining the daily business hours corresponding to the business park, dividing the time periods based on the daily business hours to obtain the morning business period, the noon business period and the evening business period, and respectively determining the time period start time and the time period end time corresponding to each different business period; In response to the current real-time date reaching any preset monitoring date, controlling each monitoring unit to perform light monitoring at the time period start time and time period end time corresponding to each different business period, and obtaining a first light monitoring value corresponding to the time period start time and a second light monitoring value corresponding to the time period end time; Calculating the average of the first light monitoring value and the second light monitoring value to obtain a time period monitoring value corresponding to the same business period; Retrieving a monitoring comparison table, wherein the monitoring comparison table includes different lighting conditions and monitoring value intervals corresponding to the different lighting conditions; The monitoring comparison table is traversed to determine the monitoring value interval including the monitoring value of the time period, and the lighting state corresponding to the business period is determined based on the monitoring value interval to obtain the lighting state corresponding to the same park area block in different business periods.

[0010] Optionally, in the method according to the present invention, the scale of each area to be allocated is screened based on the resource scale requirement, and all areas to be allocated that meet the resource scale requirement are determined as a scale-matching group, including: Determine the resource demand size corresponding to the resource demand end based on the resource scale demand, and obtain the number of each area block of the park area blocks respectively included in each area to be allocated; Based on the product calculation of the number of each area block and the preset block size, the size of each area corresponding to each area to be allocated is obtained, and the size of each area is compared with the resource demand size; Each to-be-allocated area whose corresponding area size is greater than or equal to the resource demand size is determined as a size-matched group.

[0011] Optionally, in the method according to the present invention, performing illumination screening on each to-be-allocated area in the size-compliant group based on the resource illumination requirement, and determining all to-be-allocated areas that meet the resource illumination requirement as the illumination-compliant group, comprises: Determine the demand period and demand state corresponding to the resource demand end based on the resource illumination demand, and determine the business period including the demand period as the demand business period; Determine the business hours in the to-be-allocated state corresponding to each to-be-allocated area, and determine the business hours as idle business hours; Determine each area to be allocated corresponding to an idle business period having the same business period as the required business period as a first area screening group, and determine the lighting status of each park area block respectively included in each area to be allocated in the first area screening group; Combining adjacent park area blocks with the same lighting state in each area to be allocated, and determining the obtained lighting areas corresponding to the same area to be allocated as the second area screening group; Determine each illumination area in the second area screening group that has the same illumination state as the demand state as a third area screening group, and determine the number of demand blocks corresponding to the resource demand size based on a size comparison between the resource demand size and the preset block size; Based on the park area blocks corresponding to the number of demand blocks, a demand reference area is formed with any park area block as the center and radially extending outward, and all lighting areas in the third area screening group that can cover the demand reference area are determined as a lighting compliance group.

[0012] Optionally, in the method according to the present invention, obtaining the locations of each area corresponding to all the to-be-allocated areas in the illumination compliance group, determining the resource usage fees based on each area location, and sending the obtained resource usage fees and each area location to the resource demand end, respectively, includes: Determine the park center point corresponding to the business park based on the upper view corresponding to the business park, and divide the business park into circles with the park center point as the center to obtain each circle area; Different first preset tariffs are configured for each circle-level area, wherein the first preset tariffs corresponding to each circle-level area decrease from the inner to the outer; Determine the business entrance and exit and the public facilities area corresponding to the business park based on the upper view, and change the circle-level area including the business entrance and exit from the first preset rate to the second preset rate, and change the circle-level area including the public facilities area from the first preset rate to the third preset rate; Acquire the respective regional positions corresponding to all the illumination regions in the illumination compliance group, and determine the respective preset tariffs based on the respective regional positions; Establishing a bill confirmation form, and filling in the area locations and resource usage fees corresponding to different lighting areas in the bill confirmation form in a vertical arrangement; The bill confirmation form is sent to the resource demand side.

[0013] Optionally, in the method according to the present invention, the method further comprises: In response to the resource demand end's interaction with any illumination area in the bill determination form, determining the illumination area as a target area; Determine a resource allocation area corresponding to the demand reference area in the target area, and change all park area blocks included in the resource allocation area from a to-be-allocated state to an allocated state; Determine the demand start time and the demand end time based on the demand period corresponding to the resource demand end, and perform a primary image acquisition and a secondary image acquisition on the resource allocation area at the demand start time and the demand end time respectively, to obtain a start allocation map and an end allocation map corresponding to the resource allocation area; The termination allocation graph is compared with the start allocation graph to determine the resource usage corresponding to the resource demand end, and the resource demand end is evaluated based on the resource usage to obtain a resource evaluation value corresponding to the resource demand end.

[0014] According to another aspect of the present invention, there is provided a park commercial operation management device based on artificial intelligence, comprising: The resource division module is configured to divide the regional resources of the business park based on a preset resource division strategy, and perform monitoring configuration of the corresponding monitoring units on each obtained park area block; A light monitoring module is configured to control each monitoring unit to perform continuous all-day light monitoring on each park area block on a preset monitoring date based on the monitoring configuration, so as to obtain light reference data corresponding to each park area block; A combination module is configured to, in response to receiving a demand request sent by any resource demand end, obtain a resource scale demand and a resource illumination demand corresponding to the resource demand end, and combine adjacent park area blocks in the business park that are in a state of being allocated to obtain each area to be allocated; A scale screening module is configured to screen the scales of the areas to be allocated based on the resource scale requirement, and determine all the areas to be allocated that meet the resource scale requirement as a scale-compliant group; A lighting screening module is configured to perform lighting screening on each to-be-allocated area in the size-compliant group based on the resource lighting requirement, and determine all to-be-allocated areas that meet the resource lighting requirement as a lighting-compliant group; The determination module is configured to obtain the area locations corresponding to all the areas to be allocated in the lighting compliance group, determine the resource usage fees based on the area locations, and send the obtained resource usage fees and area locations to the resource demand end.

[0015] According to the solution of the present invention, the server will divide the regional resources of the business park based on the preset resource division strategy, so as to obtain the regional blocks of each park. In order to meet the different needs of tourists for lighting conditions, the server will also configure monitoring units for the park regional blocks respectively, and monitor the lighting conditions of each park regional block on the preset monitoring date, so as to facilitate the subsequent selection of tourists. In addition, the server will obtain the resource scale demand and resource lighting demand of the resource demand end, and determine all park regional blocks in the business park that are in the state of being allocated, and screen the scale of each area to be allocated according to the resource scale demand of the resource demand end, so as to determine all the areas to be allocated that meet the resource scale demand as the scale compliance group. Then, according to the resource lighting demand of the resource demand end, the lighting of each area to be allocated in the scale compliance group is screened, so as to determine all the areas to be allocated that meet the resource lighting demand as the lighting compliance group. Then, the server will obtain the regional positions corresponding to all the areas to be allocated in the lighting compliance group, and then determine the resource usage fees according to the regional positions, and send the obtained resource usage fees and regional positions to the resource demand end for the resource demand end to view and select accordingly. The present invention can screen out suitable camping areas according to the needs of the resource demand side and calculate the corresponding resource usage fees, which is convenient for the resource demand side to make a selection, which not only improves the park management efficiency, but also can improve the tourists' experience to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a park commercial operation management method based on artificial intelligence according to an embodiment of the present invention is shown; Figure 2 A schematic diagram showing each grid area block according to an embodiment of the present invention is shown; Figure 3 A schematic diagram showing a size calculation area according to an embodiment of the present invention; Figure 4 A structural block diagram of an artificial intelligence-based park commercial operation management device according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0018] In recent years, the popularity of camping activities has continued to rise and gradually entered the lives of the general public. More and more people choose to camp in their leisure time to get close to nature and experience outdoor life.

[0019] The inventor discovered during research that as more and more tourists go to the park to camp, the park management office is unable to accurately plan the size of the area where tourists camp and to rationally handle the tourists' camping needs, which makes it difficult for the park management office to manage the camping tourists.

[0020] In order to solve the problems existing in the above-mentioned prior art, the inventor proposes the solution of the present invention. One embodiment of the present invention provides a park commercial operation management method based on artificial intelligence, which can be executed in a computing device, wherein the computing device can be understood as a terminal with data processing function, such as a mobile phone or a computer.

[0021] Figure 1 A flow chart of an artificial intelligence-based park commercial operation management method according to an embodiment of the present invention is shown, and the method is suitable for execution in a computing device.

[0022] like Figure 1 As shown, the purpose of this embodiment is to implement a park commercial operation management method based on artificial intelligence, starting from step S102, in step S102, including the following steps: The regional resources of the business park are divided based on the preset resource division strategy, and the monitoring configuration of each corresponding monitoring unit is performed on each obtained park area block.

[0023] For example, in this embodiment, a business park can be understood as a park where tourists can camp and play. Since business parks are usually larger and tourists only occupy part of the business park when camping, in order to reasonably plan the camping area, the server will divide the regional resources of the business park based on a preset resource division strategy, and obtain the area blocks of each park after the division.

[0024] Because different tourists have different requirements for the size of camping sites, and some tourists hope that the camping sites can have sufficient light, while some tourists hope that the camping sites are in the shade, etc., the server configures light sensors, i.e., monitoring units, for each park area block, so as to monitor the light conditions of each park area block, which is convenient for subsequent tourists to make choices.

[0025] Furthermore, the above-mentioned “dividing regional resources of the business park based on a preset resource division strategy” further includes the following steps: Acquire a top view corresponding to the business park, and perform grid processing on the top view to obtain grid area blocks having preset block sizes; Acquire a park outline corresponding to the business park in the upper view, determine all grid area blocks overlapping the park outline as an area block integration group, and determine all remaining grid area blocks in the park outline as individual park area blocks; Based on the park outline, all grid area blocks located in the area block integration group are divided into area blocks respectively to obtain the in-park area blocks located within the park outline; Determine the size of each area block in the park respectively, obtain the size of each area block corresponding to each area block in the park respectively, and determine all area blocks in the park whose corresponding area block size is greater than or equal to half of the preset block size as each park area block respectively, and determine all area blocks in the park whose corresponding area block size is less than half of the preset block size as each area block to be integrated respectively; The park area blocks adjacent to the area blocks to be integrated are determined, and the area blocks to be integrated are regionally integrated with the corresponding park area blocks to obtain new park area blocks.

[0026] For example, in this embodiment, the server first obtains the upper view of the business park. To ensure that the upper view can present the complete business park, the upper view is a rectangle that can contain the entire area of ​​the business park. Then, the server performs grid processing on the upper view to obtain grid area blocks with preset block sizes, such as Figure 2 The management end can freely set the size of the preset block size according to the size of the business park.

[0027] Next, the server obtains the park outline of the business park in the upper view, and determines all grid area blocks containing the park outline as an area block integration group, and determines all remaining grid area blocks in the park outline as individual park area blocks. At this time, the server can divide all grid area blocks in the area block integration group into area blocks according to the position of the park outline, thereby obtaining the area blocks in each park in the business park.

[0028] Then, the server will determine the size of each area block in the park, thereby obtaining the area block size of each area block in the park. When the area block size is greater than or equal to half of the preset block size, it means that the area block size of the area block in the park is not small, and then the server will determine the area block in the park as a park area block; when the area block size is less than half of the preset block size, it means that the area block size of the area block in the park is too small and can be combined with other park area blocks to form a park area block, and then the server will determine the area block in the park as a to-be-integrated area block, so that the subsequent server will perform regional integration of each to-be-integrated area block with each corresponding park area block after determining each park area block adjacent to the to-be-integrated area block, thereby obtaining each new park area block.

[0029] This embodiment can integrate the area blocks in the park that are too small, so as to determine all the park area blocks in the operating park, which is convenient for subsequent monitoring of their lighting conditions.

[0030] Furthermore, the above-mentioned “determining the size of each area block in the park” further includes the following steps: Determine the overlapping contour line segments of the park contour located in each area block within the park, and determine the contour starting point and the contour end point based on the line segment extension direction of each overlapping contour line segment; Determining the area center point of each grid area block that includes each in-garden area block, and judging whether the area center point is located in the corresponding in-garden area block; When the center point of the region is located in the corresponding area block in the garden, the contour starting point and the contour end point are connected to the center point of the region by line segments to obtain a starting point connection line and an end point connection line; Based on the coincident contour line segments, the original contour line segments in each garden area block are respectively obtained, and a size calculation area is formed based on the starting point connection line, the end point connection line and the original contour line segments corresponding to the same garden area block, and the size of the size calculation area is determined; When the area center point is outside the area block in the garden, the contour start point and the contour end point are connected by a line segment to obtain a contour extension line; Based on the overlapping contour line segments, the original contour line segments located in each garden area block are respectively obtained, and based on the contour extension line corresponding to the same garden area block and the original contour line segments, a size calculation area is formed, and the size of the size calculation area is determined.

[0031] For example, in this embodiment, the server first determines the park outlines located in each park area block, that is, each overlapping contour line. Then, the two endpoints of each overlapping contour line are respectively determined as the contour start point and the contour end point. Then, the server determines the area center point of each grid area block including the park area block, so as to determine whether the area center point is located in the corresponding park area block.

[0032] When the center point of the region is located in the corresponding in-garden area block, the server will connect the contour start point and the contour end point with the center point of the region by line segments, thereby obtaining the start point connection line and the end point connection line. Then, based on the overlapping contour line segments, the original contour line segments located in each in-garden area block are obtained respectively, and the size calculation area is formed according to the start point connection line, the end point connection line and the original contour line segment corresponding to the same in-garden area block, thereby determining the size of the size calculation area, such as Figure 3 As shown in 3-1.

[0033] When the center point of the area is outside the area block in the garden, the server will connect the contour start point and the contour end point with a line segment to obtain the contour extension line. Then, based on the overlapping contour segments, the original contour segments in each area block in the garden are obtained respectively, and the size calculation area is formed according to the contour extension line and the original contour segment corresponding to the same area block in the garden, so as to determine the size of the size calculation area, such as Figure 3 As shown in 3-2.

[0034] Since the overlapping contour lines may not be straight lines, the server will generate a large amount of data processing when determining the size of each area block in the park. This embodiment can establish new line segments to facilitate size determination, thereby saving a certain amount of calculation time.

[0035] In step S104, the following contents are included: Based on the monitoring configuration, each monitoring unit is controlled to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain light reference data corresponding to each park area block.

[0036] For example, in this embodiment, since the lighting conditions in spring, summer, autumn and winter are different, the server will control each monitoring unit to conduct continuous all-day lighting monitoring on each park area block on the preset monitoring date. For example, the first day of each season is set as the preset monitoring date. In this way, the lighting reference data of each park area block in different seasons can be obtained.

[0037] Furthermore, the above-mentioned “based on the monitoring configuration, controlling each monitoring unit to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain each light reference data corresponding to each park area block” also includes the following steps: Establishing a scheduled monitoring task, wherein the scheduled monitoring task corresponds to different preset monitoring dates having the same preset period between adjacent ones; The current real-time date is acquired, and in response to the current real-time date reaching any preset monitoring date, each monitoring unit is controlled to perform continuous all-day light monitoring, so as to obtain the light status of the same park area block in different business hours, wherein the light status includes abundant state, moderate state and weak state; The lighting status corresponding to the same park area block during different business hours is determined as the lighting reference data of the park area block in a reference date period starting from the current real-time date and lasting for the preset period, and the lighting reference data corresponding to each park area block is obtained.

[0038] For example, in this embodiment, the server will establish a scheduled monitoring task, including different preset monitoring dates with the same preset period between adjacent ones, such as the preset period is 3 months, and the preset monitoring dates are March 1, June 1, September 1 and December 1.

[0039] Every day, the server will obtain the date of the day, that is, the current real-time date. When the current real-time date reaches any preset monitoring date, the server will control each monitoring unit to conduct continuous all-day light monitoring, so as to obtain the light status of the same park area block in different business hours. The light status includes a sufficient state indicating sufficient light, a moderate state indicating moderate light, and a weak state indicating weak light.

[0040] Then, the server will determine the lighting conditions at different business hours corresponding to the same park area block as the lighting reference data of the park area block in the reference date period starting from the current real-time date and lasting for a preset period, thereby obtaining the lighting reference data corresponding to each park area block. For example, if the current real-time date is March 1, the lighting conditions at different business hours on this day will become the lighting reference data for the lighting conditions in the next three months.

[0041] The server can monitor the lighting conditions of the operating parks in different seasons by setting different preset monitoring dates, and can monitor the lighting conditions of each season while reducing monitoring costs.

[0042] Furthermore, the above-mentioned “in response to the current real-time date reaching any preset monitoring date, controlling each monitoring unit to perform continuous all-day light monitoring to obtain the light status of the same park area during different business hours” also includes the following steps: Obtaining the daily business hours corresponding to the business park, dividing the time periods based on the daily business hours to obtain the morning business period, the noon business period and the evening business period, and respectively determining the time period start time and the time period end time corresponding to each different business period; In response to the current real-time date reaching any preset monitoring date, controlling each monitoring unit to perform light monitoring at the time period start time and time period end time corresponding to each different business period, and obtaining a first light monitoring value corresponding to the time period start time and a second light monitoring value corresponding to the time period end time; Calculating the average of the first light monitoring value and the second light monitoring value to obtain a time period monitoring value corresponding to the same business period; Retrieving a monitoring comparison table, wherein the monitoring comparison table includes different lighting conditions and monitoring value intervals corresponding to the different lighting conditions; The monitoring comparison table is traversed to determine the monitoring value interval including the monitoring value of the time period, and the lighting state corresponding to the business period is determined based on the monitoring value interval to obtain the lighting state corresponding to the same park area block in different business periods.

[0043] For example, in this embodiment, since the lighting conditions in the morning, noon and evening of the same day are also different, the server will obtain the daily business hours of the business park and divide the daily business hours into time periods, thereby obtaining the morning business period, the noon business period and the evening business period, and respectively determine the time period start time and time period end time corresponding to each different business period. For example, if the morning business period is from 8:00 to 10:00, the time period start time of the morning business period is 8:00 and the time period end time is 10:00.

[0044] When the current real-time date reaches any preset monitoring date, the server will control each monitoring unit to perform light monitoring at the time period start and time period end corresponding to each different business period, thereby obtaining a first light monitoring value corresponding to the time period start, and a second light monitoring value corresponding to the time period end. Then, the server will average the first light monitoring value and the second light monitoring value to obtain the time period monitoring value corresponding to the same business period. For example, the light monitoring values ​​at 8:00 and 10:00 are obtained respectively, and then the two obtained light monitoring values ​​are averaged to obtain the time period monitoring value of the morning business period.

[0045] Next, the server will retrieve the monitoring comparison table, which includes different lighting conditions and monitoring value intervals corresponding to different lighting conditions. The server will determine the monitoring value interval including the monitoring value of the period in the monitoring comparison table, and determine the lighting condition corresponding to the business period based on the monitoring value interval, thereby obtaining the lighting condition of the same park area block under different business periods.

[0046] In step S106, the following contents are included: In response to receiving a demand request sent by any resource demand end, the resource scale demand and resource lighting demand corresponding to the resource demand end are obtained, and all park area blocks in the business park that are in a state of being allocated are adjacently combined to obtain each area to be allocated.

[0047] For example, in this embodiment, the resource demand end can be understood as a terminal used by tourists who need camping sites. When tourists want to go camping in a business park, they can send a demand request through the resource demand end in advance. When the server receives a demand request sent by any resource demand end, it will obtain the site size required by the resource demand end when camping, that is, the resource scale requirement; the server will also obtain the lighting conditions required by the resource demand end when camping, that is, the resource lighting requirement, so that the subsequent server can further screen the park area blocks according to the demand conditions of the resource demand end.

[0048] Because when the resource demand side sends a demand request, the operating park may have already allocated some park area blocks to other resource demand sides for camping, the server will determine all park area blocks in the operating park that are in a waiting-to-be-allocated state, and combine park area blocks with adjacent positional relationships to obtain each waiting-to-be-allocated area.

[0049] In step S108, the following contents are included: Based on the resource scale requirement, the scale of each area to be allocated is screened, and all areas to be allocated that meet the resource scale requirement are determined as a scale-compliant group.

[0050] For example, in this embodiment, the server may screen the scale of each area to be allocated according to the resource scale requirement of the resource demand side, thereby determining all areas to be allocated that meet the resource scale requirement as a scale-compliant group.

[0051] Furthermore, the above-mentioned “screening the scale of each area to be allocated based on the resource scale requirement, and determining all areas to be allocated that meet the resource scale requirement as a scale-matched group” further includes the following steps: Determine the resource demand size corresponding to the resource demand end based on the resource scale demand, and obtain the number of each area block of the park area blocks respectively included in each area to be allocated; Based on the product calculation of the number of each area block and the preset block size, the size of each area corresponding to each area to be allocated is obtained, and the size of each area is compared with the resource demand size; Each to-be-allocated area whose corresponding area size is greater than or equal to the resource demand size is determined as a size-matched group.

[0052] For example, in this embodiment, the server will first determine the resource demand size according to the resource scale demand of the resource demand end, and obtain the number of each area block of the park area block included in each area to be allocated. The server will multiply the number of area blocks of each area to be allocated by the preset block size to obtain the area size of each area to be allocated, and then compare the size of each area with the resource demand size, so as to determine each area to be allocated whose corresponding area size is greater than or equal to the resource demand size as a size-matching group.

[0053] In step S110, the following contents are included: Based on the resource lighting requirement, each to-be-allocated area in the size-compliant group is screened for lighting, and all to-be-allocated areas that meet the resource lighting requirement are determined as a lighting-compliant group.

[0054] For example, in this embodiment, the server will perform lighting screening on each area to be allocated in the size-compliant group according to the resource lighting demand of the resource demand end, thereby determining all areas to be allocated that meet the resource lighting demand as the lighting-compliant group.

[0055] Furthermore, the above-mentioned “screening the illumination of each to-be-allocated area in the scale-compliant group based on the resource illumination requirement, and determining all to-be-allocated areas that meet the resource illumination requirement as the illumination-compliant group” further includes the following steps: Determine the demand period and demand state corresponding to the resource demand end based on the resource illumination demand, and determine the business period including the demand period as the demand business period; Determine the business hours in the to-be-allocated state corresponding to each to-be-allocated area, and determine the business hours as idle business hours; Determine each area to be allocated corresponding to an idle business period having the same business period as the required business period as a first area screening group, and determine the lighting status of each park area block respectively included in each area to be allocated in the first area screening group; Combining adjacent park area blocks with the same lighting state in each area to be allocated, and determining the obtained lighting areas corresponding to the same area to be allocated as the second area screening group; Determine each illumination area in the second area screening group that has the same illumination state as the demand state as a third area screening group, and determine the number of demand blocks corresponding to the resource demand size based on a size comparison between the resource demand size and the preset block size; Based on the park area blocks corresponding to the number of demand blocks, a demand reference area is formed with any park area block as the center and radially extending outward, and all lighting areas in the third area screening group that can cover the demand reference area are determined as a lighting compliance group.

[0056] For example, in this embodiment, since the demand period of the resource demand end may not be a complete business period, the server will first determine the demand period and demand status corresponding to the resource demand end based on the resource lighting demand of the resource demand end, and determine the business period including the demand period as the demand business period.

[0057] Then, the server determines the business hours during which each area to be allocated is in the state of being allocated, and determines the business hours as idle business hours. Then, the areas to be allocated corresponding to the idle business hours with the same business hours as the required business hours are determined as the first area screening group, and the lighting status of each park area block included in each area to be allocated in the first area screening group is determined.

[0058] At this time, the server will combine adjacent park area blocks with the same lighting state in each area to be allocated, and determine the lighting areas corresponding to the same area to be allocated as the second area screening group. Then, the server will determine the lighting areas with the same lighting state as the required state in the second area screening group as the third area screening group, and then determine the number of required blocks corresponding to the resource required size based on the size comparison between the resource required size and the preset block size.

[0059] Furthermore, the server can form a demand reference area with any park area block as the center and extending radially outward according to the park area blocks with corresponding number of demand blocks, and determine all lighting areas in the third area screening group that can cover the demand reference area as the lighting compliance group.

[0060] This embodiment can filter out corresponding lighting compliance groups according to different demands of the resource demand side, thereby improving a certain experience of the resource demand side.

[0061] In step S112, the following contents are included: The locations of each area corresponding to all the areas to be allocated in the illumination compliance group are obtained, the resource usage fees are determined based on the locations of each area, and the obtained resource usage fees and the locations of each area are sent to the resource demand end.

[0062] For example, in this embodiment, since the fees for camping in different areas of the business park are different, that is, the resource usage fees are different, the server will obtain the area locations corresponding to all the areas to be allocated in the lighting compliance group after determining the lighting compliance group, and then determine the resource usage fees according to each area location, and send the obtained resource usage fees and area locations to the resource demand end for the resource demand end to view and make corresponding choices.

[0063] Furthermore, the above-mentioned "obtaining the locations of each area corresponding to all the to-be-allocated areas in the illumination compliance group, determining the resource usage fees based on each area location, and sending the obtained resource usage fees and each area location to the resource demand end", further includes the following steps: Determine the park center point corresponding to the business park based on the upper view corresponding to the business park, and divide the business park into circles with the park center point as the center to obtain each circle area; Different first preset tariffs are configured for each circle-level area, wherein the first preset tariffs corresponding to each circle-level area decrease from the inner to the outer; Determine the business entrance and exit and the public facilities area corresponding to the business park based on the upper view, and change the circle-level area including the business entrance and exit from the first preset rate to the second preset rate, and change the circle-level area including the public facilities area from the first preset rate to the third preset rate; Acquire the respective regional positions corresponding to all the illumination regions in the illumination compliance group, and determine the respective preset tariffs based on the respective regional positions; Establishing a bill confirmation form, and filling in the area locations and resource usage fees corresponding to different lighting areas in the bill confirmation form in a vertical arrangement; The bill confirmation form is sent to the resource demand side.

[0064] For example, in this embodiment, the server will determine the center point of the business park according to the upper view of the business park, and divide the business park into circles with the center point of the park as the center, so as to obtain various circle-level areas. Then, the server will configure different first preset tariffs for each circle-level area. Because under normal circumstances, the closer the camping location is to the center of the business park, the higher the resource usage fee will be. Therefore, the first preset tariffs corresponding to each circle-level area will decrease from the inside to the outside. And the closer to the business entrance and exit and the public facilities area, the lower the resource usage fee will be. Therefore, the server will determine the business entrance and exit and the public facilities area of ​​the business park according to the upper view, and change the circle-level area including the business entrance and exit from the first preset tariff to the second preset tariff, and change the circle-level area including the public facilities area from the first preset tariff to the third preset tariff.

[0065] Then, the server will obtain the area positions corresponding to all the lighting areas in the lighting compliance group, and determine the preset rates for each area position. Therefore, the server will create a bill confirmation form, and fill in the area positions corresponding to different lighting areas and resource usage fees in the bill confirmation form in a vertical arrangement, and then send the filled bill confirmation form to the resource demand side for viewing.

[0066] This embodiment can determine different preset rates according to different camping locations, so that the resource demand side can more intuitively understand the specific location of the camping site and make corresponding choices.

[0067] Furthermore, the above method further comprises the following steps: In response to the resource demand end's interaction with any illumination area in the bill determination form, determining the illumination area as a target area; Determine a resource allocation area corresponding to the demand reference area in the target area, and change all park area blocks included in the resource allocation area from a to-be-allocated state to an allocated state; Determine the demand start time and the demand end time based on the demand period corresponding to the resource demand end, and perform a primary image acquisition and a secondary image acquisition on the resource allocation area at the demand start time and the demand end time respectively, to obtain a start allocation map and an end allocation map corresponding to the resource allocation area; The termination allocation graph is compared with the start allocation graph to determine the resource usage corresponding to the resource demand end, and the resource demand end is evaluated based on the resource usage to obtain a resource evaluation value corresponding to the resource demand end.

[0068] For example, in this embodiment, when the resource demand side interacts with any lighting area located in the bill determination form, the server will determine the lighting area as the target area. Since the size of the target area can cover the demand reference area, the server will determine the resource allocation area corresponding to the demand reference area in the target area, and then change all park area blocks included in the resource allocation area from the to-be-allocated state to the allocated state.

[0069] Since a certain amount of garbage may be generated during camping, and damage may also occur to the land of the operating park, the server will monitor it accordingly. First, the server will determine the start time and end time of the demand according to the demand period of the resource demand end, and perform an image acquisition of the resource allocation area at the start time of the demand to obtain the starting allocation map corresponding to the resource allocation area, so as to record the resource status of the resource allocation area when the tourist just enters the resource allocation area; the server will also perform a second image acquisition of the resource allocation area at the end time of the demand, so as to obtain the ending allocation map corresponding to the resource allocation area, so as to record the resource status of the resource allocation area when the tourist leaves the resource allocation area.

[0070] The server will then compare the ending allocation map with the starting allocation map to determine the resource usage of the resource demand side, and evaluate the resource demand side based on the resource usage to obtain the resource evaluation value corresponding to the resource demand side. When the resource demand side leaves too much garbage or damages the land seriously, the corresponding resource evaluation value will also decrease. At this time, the server will increase the resource usage fee of the resource demand side, so as to encourage the resource demand side to take away the garbage and protect the land of the business park.

[0071] In summary, according to the solution of this embodiment, the server will divide the regional resources of the business park based on the preset resource division strategy, thereby obtaining each park area block. In order to meet the different needs of tourists for lighting conditions, the server will also configure monitoring units for the park area blocks respectively, and monitor the lighting conditions of each park area block on the preset monitoring date, so as to facilitate subsequent tourists to make choices. In addition, the server will obtain the resource scale requirements and resource lighting requirements of the resource demand side, and determine all park area blocks in the business park that are in a waiting state, and scale screen each area to be allocated according to the resource scale requirements of the resource demand side, so as to determine all areas to be allocated that meet the resource scale requirements as a scale-compliant group. Then, according to the resource lighting requirements of the resource demand side, the lighting of each area to be allocated in the scale-compliant group is screened, so as to determine all areas to be allocated that meet the resource lighting requirements as a lighting-compliant group. Next, the server will obtain the locations of each area corresponding to all the areas to be allocated in the illumination compliance group, and then determine the resource usage fees according to the locations of each area, and send the obtained resource usage fees and the locations of each area to the resource demand side for the resource demand side to view and select accordingly. The present invention can filter out the camping areas that meet the requirements of the resource demand side, and calculate the corresponding resource usage fees, which is convenient for the resource demand side to select, which not only improves the park management efficiency, but also improves the tourists' experience.

[0072] Another embodiment of the present invention provides a park commercial operation management device based on artificial intelligence, Figure 4 The corresponding device block diagram includes: The resource division module is configured to divide the regional resources of the business park based on a preset resource division strategy, and perform monitoring configuration of the corresponding monitoring units on each obtained park area block; A light monitoring module is configured to control each monitoring unit to perform continuous all-day light monitoring on each park area block on a preset monitoring date based on the monitoring configuration, so as to obtain light reference data corresponding to each park area block; A combination module is configured to, in response to receiving a demand request sent by any resource demand end, obtain a resource scale demand and a resource illumination demand corresponding to the resource demand end, and combine adjacent park area blocks in the business park that are in a state of being allocated to obtain each area to be allocated; A scale screening module is configured to screen the scales of the areas to be allocated based on the resource scale requirement, and determine all the areas to be allocated that meet the resource scale requirement as a scale-compliant group; A lighting screening module is configured to perform lighting screening on each to-be-allocated area in the size-compliant group based on the resource lighting requirement, and determine all to-be-allocated areas that meet the resource lighting requirement as a lighting-compliant group; The determination module is configured to obtain the area locations corresponding to all the areas to be allocated in the lighting compliance group, determine the resource usage fees based on the area locations, and send the obtained resource usage fees and area locations to the resource demand end.

[0073] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the present invention.

[0074] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0075] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0076] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0077] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of submodules or subunits or subcomponents.

[0078] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0079] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0080] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0081] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is primarily selected for readability and instructional purposes, rather than for explaining or limiting the subject matter of the present invention.

Claims

1. A park commercial operation management method based on artificial intelligence, characterized in that: The following steps are involved: Based on the preset resource division strategy, the regional resources of the business park are divided, and the monitoring configuration of each corresponding monitoring unit is performed on each obtained park area block; Based on the monitoring configuration, each monitoring unit is controlled to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain light reference data corresponding to each park area block; In response to receiving a demand request sent by any resource demand end, obtaining the resource scale demand and resource illumination demand corresponding to the resource demand end, and combining adjacent park area blocks in the business park in a to-be-allocated state to obtain each to-be-allocated area; Screening the scale of each area to be allocated based on the resource scale requirement, and determining all areas to be allocated that meet the resource scale requirement as a scale-compliant group; Performing illumination screening on each area to be allocated in the size-compliant group based on the resource illumination requirement, and determining all areas to be allocated that meet the resource illumination requirement as an illumination-compliant group; The locations of each area corresponding to all the areas to be allocated in the illumination compliance group are obtained, the resource usage fees are determined based on the locations of each area, and the obtained resource usage fees and the locations of each area are sent to the resource demand end.

2. The park commercial operation management method based on artificial intelligence according to claim 1 is characterized in that: Based on the preset resource division strategy, the regional resources of the business park are divided, including: Acquire a top view corresponding to the business park, and perform grid processing on the top view to obtain grid area blocks having preset block sizes; Acquire a park outline corresponding to the business park in the upper view, determine all grid area blocks overlapping the park outline as an area block integration group, and determine all remaining grid area blocks in the park outline as individual park area blocks; Based on the park outline, all grid area blocks located in the area block integration group are divided into area blocks respectively to obtain the in-park area blocks located within the park outline; Determine the size of each area block in the park respectively, obtain the size of each area block corresponding to each area block in the park respectively, and determine all area blocks in the park whose corresponding area block size is greater than or equal to half of the preset block size as each park area block respectively, and determine all area blocks in the park whose corresponding area block size is less than half of the preset block size as each area block to be integrated respectively; The park area blocks adjacent to the area blocks to be integrated are determined, and the area blocks to be integrated are regionally integrated with the corresponding park area blocks to obtain new park area blocks.

3. The park commercial operation management method based on artificial intelligence according to claim 2 is characterized in that: The size of each area block in the park is determined separately, including: Determine the overlapping contour line segments of the park contour located in each area block within the park, and determine the contour starting point and the contour end point based on the line segment extension direction of each overlapping contour line segment; Determining the area center point of each grid area block that includes each in-garden area block, and judging whether the area center point is located in the corresponding in-garden area block; When the center point of the region is located in the corresponding area block in the garden, the contour starting point and the contour end point are connected to the center point of the region by line segments to obtain a starting point connection line and an end point connection line; Based on the coincident contour line segments, the original contour line segments in each garden area block are respectively obtained, and a size calculation area is formed based on the starting point connection line, the end point connection line and the original contour line segments corresponding to the same garden area block, and the size of the size calculation area is determined; When the area center point is outside the area block in the garden, the contour start point and the contour end point are connected by a line segment to obtain a contour extension line; Based on the overlapping contour line segments, the original contour line segments located in each garden area block are respectively obtained, and based on the contour extension line corresponding to the same garden area block and the original contour line segments, a size calculation area is formed, and the size of the size calculation area is determined.

4. The park commercial operation management method based on artificial intelligence according to claim 3 is characterized in that: Based on the monitoring configuration, each monitoring unit is controlled to perform continuous all-day light monitoring on each park area block on a preset monitoring date to obtain light reference data corresponding to each park area block, including: Establishing a scheduled monitoring task, wherein the scheduled monitoring task corresponds to different preset monitoring dates having the same preset period between adjacent ones; The current real-time date is acquired, and in response to the current real-time date reaching any preset monitoring date, each monitoring unit is controlled to perform continuous all-day light monitoring, so as to obtain the light status of the same park area block in different business hours, wherein the light status includes abundant state, moderate state and weak state; The lighting status corresponding to the same park area block during different business hours is determined as the lighting reference data of the park area block in a reference date period starting from the current real-time date and lasting for the preset period, and the lighting reference data corresponding to each park area block is obtained.

5. The park commercial operation management method based on artificial intelligence according to claim 4 is characterized in that: In response to the current real-time date reaching any preset monitoring date, each monitoring unit is controlled to perform continuous all-day light monitoring to obtain the light status of the same park area during different business hours, including: Obtaining the daily business hours corresponding to the business park, dividing the time periods based on the daily business hours to obtain the morning business period, the noon business period and the evening business period, and respectively determining the time period start time and the time period end time corresponding to each different business period; In response to the current real-time date reaching any preset monitoring date, controlling each monitoring unit to perform light monitoring at the time period start time and time period end time corresponding to each different business period, and obtaining a first light monitoring value corresponding to the time period start time and a second light monitoring value corresponding to the time period end time; Calculating the average of the first light monitoring value and the second light monitoring value to obtain a time period monitoring value corresponding to the same business period; Retrieving a monitoring comparison table, wherein the monitoring comparison table includes different lighting conditions and monitoring value intervals corresponding to the different lighting conditions; The monitoring comparison table is traversed to determine the monitoring value interval including the monitoring value of the time period, and the lighting state corresponding to the business period is determined based on the monitoring value interval to obtain the lighting state corresponding to the same park area block in different business periods.

6. The park commercial operation management method based on artificial intelligence according to claim 5 is characterized in that: Based on the resource scale requirement, the scale of each area to be allocated is screened, and all areas to be allocated that meet the resource scale requirement are determined as a scale-matching group, including: Determine the resource demand size corresponding to the resource demand end based on the resource scale demand, and obtain the number of each area block of the park area blocks respectively included in each area to be allocated; Based on the product calculation of the number of each area block and the preset block size, the size of each area corresponding to each area to be allocated is obtained, and the size of each area is compared with the resource demand size; Each to-be-allocated area whose corresponding area size is greater than or equal to the resource demand size is determined as a size-matched group.

7. The artificial intelligence-based park business operation management method according to claim 6 is characterized in that: Based on the resource lighting requirement, each to-be-allocated area in the size-compliant group is screened for lighting, and all to-be-allocated areas that meet the resource lighting requirement are determined as a lighting-compliant group, including: Determine the demand period and demand state corresponding to the resource demand end based on the resource illumination demand, and determine the business period including the demand period as the demand business period; Determine the business hours in the to-be-allocated state corresponding to each to-be-allocated area, and determine the business hours as idle business hours; Determine each area to be allocated corresponding to an idle business period having the same business period as the required business period as a first area screening group, and determine the lighting status of each park area block respectively included in each area to be allocated in the first area screening group; Combining adjacent park area blocks with the same lighting state in each area to be allocated, and determining the obtained lighting areas corresponding to the same area to be allocated as the second area screening group; Determine each illumination area in the second area screening group that has the same illumination state as the demand state as a third area screening group, and determine the number of demand blocks corresponding to the resource demand size based on a size comparison between the resource demand size and the preset block size; Based on the park area blocks corresponding to the number of demand blocks, a demand reference area is formed with any park area block as the center and radially extending outward, and all lighting areas in the third area screening group that can cover the demand reference area are determined as a lighting compliance group.

8. The park commercial operation management method based on artificial intelligence according to claim 7 is characterized in that: Acquiring the locations of each region corresponding to all the to-be-allocated regions in the illumination compliance group, determining the resource usage fees based on the locations of each region, and sending the obtained resource usage fees and the locations of each region to the resource demand side, including: Determine the park center point corresponding to the business park based on the upper view corresponding to the business park, and divide the business park into circles with the park center point as the center to obtain each circle area; Different first preset tariffs are configured for each circle-level area, wherein the first preset tariffs corresponding to each circle-level area decrease from the inner to the outer; Determine the business entrance and exit and the public facilities area corresponding to the business park based on the upper view, and change the circle-level area including the business entrance and exit from the first preset rate to the second preset rate, and change the circle-level area including the public facilities area from the first preset rate to the third preset rate; Acquire the respective regional positions corresponding to all the illumination regions in the illumination compliance group, and determine the respective preset tariffs based on the respective regional positions; Establishing a bill confirmation form, and filling in the area locations and resource usage fees corresponding to different lighting areas in the bill confirmation form in a vertical arrangement; The bill confirmation form is sent to the resource demand side.

9. The park commercial operation management method based on artificial intelligence according to claim 8 is characterized in that: The method further comprises: In response to the resource demand end's interaction with any illumination area in the bill determination form, determining the illumination area as a target area; Determine a resource allocation area corresponding to the demand reference area in the target area, and change all park area blocks included in the resource allocation area from a to-be-allocated state to an allocated state; Determine the demand start time and the demand end time based on the demand period corresponding to the resource demand end, and perform a primary image acquisition and a secondary image acquisition on the resource allocation area at the demand start time and the demand end time respectively, to obtain a start allocation map and an end allocation map corresponding to the resource allocation area; The termination allocation graph is compared with the start allocation graph to determine the resource usage corresponding to the resource demand end, and the resource demand end is evaluated based on the resource usage to obtain a resource evaluation value corresponding to the resource demand end.

10. A park commercial operation management device based on artificial intelligence, characterized in that: include: The resource division module is configured to divide the regional resources of the business park based on a preset resource division strategy, and perform monitoring configuration of the corresponding monitoring units on each obtained park area block; A light monitoring module is configured to control each monitoring unit to perform continuous all-day light monitoring on each park area block on a preset monitoring date based on the monitoring configuration, so as to obtain light reference data corresponding to each park area block; A combination module is configured to, in response to receiving a demand request sent by any resource demand end, obtain a resource scale demand and a resource illumination demand corresponding to the resource demand end, and combine adjacent park area blocks in the business park that are in a state of being allocated to obtain each area to be allocated; A scale screening module is configured to screen the scales of the areas to be allocated based on the resource scale requirement, and determine all the areas to be allocated that meet the resource scale requirement as a scale-compliant group; A lighting screening module is configured to perform lighting screening on each to-be-allocated area in the size-compliant group based on the resource lighting requirement, and determine all to-be-allocated areas that meet the resource lighting requirement as a lighting-compliant group; The determination module is configured to obtain the area locations corresponding to all the areas to be allocated in the lighting compliance group, determine the resource usage fees based on the area locations, and send the obtained resource usage fees and area locations to the resource demand end.

Images