Mobile communication product channel fine operation management system and method

Abstract

The application relates to the technical field of multimedia design and production, and discloses a mobile communication product channel fine operation management system and method, which comprises the following steps: a cloud service module constructs a logical assembly topology graph containing elastic anchor points; the elastic anchor points are uniquely bound to basic media elements; a perception module of a presentation terminal collects audience distribution density and resource inventory feedback data and synthesizes a multidimensional feature vector; a topology transformation module constructs a two-dimensional geometric transformation matrix according to the inner product scalar of the feature vector and a benchmark semantic vector; a rendering module applies the transformation matrix to the elastic anchor points, drives the elastic anchor points to generate a coordinate relative displacement in a preset coordinate and adjusts a pixel area, generates a target advertisement picture with a continuous geometric topology reorganization, realizes direct translation of physical environment parameter fluctuation to rendering geometric deformation, eliminates picture barycenter fluctuation, improves fitting accuracy, and reduces network bandwidth occupation.

Description

Technical Field

[0001] This invention relates to a refined operation management system and method for mobile communication product channels, belonging to the field of multimedia design and production technology. Background Technology

[0002] Currently, mobile communication product channel operations and advertising marketing promotions generally adopt centralized multimedia distribution systems. Cloud servers combine multimedia materials into finished video streams or digital advertising posters, which are then distributed to various channel terminals via the network. This model utilizes centralized storage and scheduling mechanisms to ensure the unified output of brand marketing content and commercial promotion information across all levels of physical channels and digital touchpoints.

[0003] The visual expression of multimedia advertising content consists of basic materials and preset rendering topology logic. Existing systems encapsulate materials and playback slots in the cloud, forming binary entities with fixed resolution and timing relationships. The physical environment of the channel terminal has obvious non-linear fluctuation characteristics, involving the instantaneous evolution of audience density and the decline of inventory of specific terminal models. In response to environmental changes, conventional paths usually increase the amount of customized video generation in the cloud or pre-set discrete material packages on the terminal. Large-scale customized video streams generate high network bandwidth load and transmission latency. The pre-set material package solution adopts a threshold-based binary triggering mechanism, which causes the materials to jump between fixed display slots.

[0004] Besides the inherent limitations of the physical distribution chain, automated adaptation solutions at the software level suffer from logical gaps. For example, Chinese invention patent CN117294804B discloses a method, apparatus, device, and storage medium for adaptive generation of advertising materials. This solution focuses on solving the geometric adaptation problem of advertising materials between different screen sizes. It rearranges foreground elements by calculating scaling factors and according to preset alignment strategies. The technical benchmark of this solution is anchored to the static physical resolution of the screen. The underlying logic is a closed geometric mapping, which cannot perceive and respond to the entropy increase of the channel environment. In the actual working conditions of mobile communication channels, the evolution of customer flow density and the decay of resource reserves are dynamic and continuous variables. The aforementioned existing technologies lack an attribution mechanism that directly translates physical environmental variables into rendering geometric deformations. When applied to a high-frequency fluctuating commercial environment, it only achieves the mechanical stacking of visual elements and cannot achieve a deep causal coupling between marketing content and real-time physical state. It is difficult to eliminate screen flickering and attention loss caused by discrete logic switching while maintaining the smooth evolution of the visual center of gravity.

[0005] Therefore, the technical problem to be solved by this invention is how to establish a causal coupling between multimedia design logic and the evolution characteristics of the audience market environment and the commercial physical environment, so that the channel terminal can autonomously generate a rendering topology with geometric deformation capability based on the scalar fluctuation of local physical characteristic parameters, thereby achieving accurate digital advertising placement and refined management of marketing resources. Summary of the Invention

[0006] To address the problems in the background art, the technical solution of the present invention is as follows: A refined operation and management system for mobile communication product channels, comprising: The cloud service module is used to build a basic media element set and establish a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system. Each elastic anchor point is uniquely bound to a basic media element. The terminal presentation module includes a perception module, a topology transformation module, and a rendering module; The perception module is used to collect audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesize a multi-dimensional feature vector representing the real-time state of the local presentation context. The topology transformation module is used to calculate the inner product scalar of the multidimensional feature vector and the baseline semantic vector carried by the basic media element, and to construct a two-dimensional geometric transformation matrix that controls the basic media element to be rendered based on the scalar value of the inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. The rendering module receives the logically assembled topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor points, driving the elastic anchor points to generate continuous relative coordinate displacement within the preset coordinate system. It adjusts the base pixel area of ​​the basic media elements in the rendering viewport according to the scaling factor, aggregates all the basic media elements after the relative coordinate displacement and the base pixel area adjustment, and generates a target advertisement screen that presents continuous geometric topology reorganization.

[0007] Preferably, when the perception module synthesizes a multidimensional feature vector, it includes the following steps: obtaining the audience distribution density within the local presentation context through the image acquisition module; synchronizing the resource inventory feedback data of the associated business objects through the data interaction module; and processing the normalization operation of the audience distribution density and the resource inventory feedback data to generate a multidimensional feature vector composed of continuous floating-point numbers.

[0008] Preferably, when establishing the logical assembly topology diagram, the cloud service module determines the initial hierarchical weight of the basic media element in the preset coordinate system based on the visual saliency attribute of the basic media element, and writes the initial hierarchical weight into the node attribute of the logical assembly topology diagram; the logical assembly topology diagram uses a structured text format to describe the spatial constraint relationship between the elastic anchor points.

[0009] Preferably, the presentation terminal module further includes a complexity adaptive adjustment module for monitoring the computing load of the presentation terminal module; when the computing load exceeds a preset load threshold, the complexity adaptive adjustment module strips non-core dynamic rendering nodes from the logical assembly topology diagram and reduces the resolution level of the basic media elements.

[0010] Preferably, the topology transformation module also includes a state linkage module, which is used to reset the active state bit of the corresponding basic media element in the target advertisement screen when the resource stock feedback data reaches the depletion threshold, so that the two-dimensional geometric transformation matrix stops the displacement processing of the basic media element.

[0011] Preferably, the rendering module calls the graphics processing module inside the presentation terminal module to perform matrix multiplication operations on the two-dimensional geometric transformation matrix, and generates the visual transition frame of the target advertisement image in situ on the presentation terminal module side.

[0012] Preferably, the rendering module also includes a visual smoothing filter module, which is used to perform a weighted average operation on the coordinate offset vector and scaling factor in adjacent rendering cycles to eliminate the visual center flicker of the target advertisement image caused by the instantaneous fluctuation of multidimensional feature vectors.

[0013] Preferably, it also includes a hierarchical scheduling module, which is used to send differentiated multi-dimensional feature vector calibration parameters to the perception module according to the contextual attributes of different geographical regions, and correct the value benchmark of the multi-dimensional feature vector for different regional markets.

[0014] Preferably, it also includes a feedback closed-loop module, which collects exposure duration data of the target advertisement screen on the presentation terminal module side, and feeds the exposure duration data back to the topology transformation module to correct the allocation weight of the mapping weight coefficient.

[0015] A method for refined operation management of mobile communication product channels, used to run a refined operation management system for mobile communication product channels, includes the following steps: Step 1001: The cloud service module constructs a basic media element set and establishes a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system, wherein each elastic anchor point is uniquely bound to a basic media element. Step 1002: The perception module collects audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesizes a multi-dimensional feature vector representing the real-time state of the local presentation context. Step 1003: The topology transformation module processes the inner product operation between the multidimensional feature vector and the reference semantic vector carried by the basic media element, and constructs a two-dimensional geometric transformation matrix that controls the basic media element to be used during rendering based on the scalar value of the obtained inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. Step 1004: The rendering module receives the logical assembly topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor point, driving the elastic anchor point to generate continuous relative coordinate displacement in the preset coordinate system, and adjusting the reference pixel area of ​​the basic media element in the rendering viewport according to the scaling factor. Step 1005: Aggregate all basic media elements after the relative coordinate displacement and reference pixel area adjustment to generate a target advertisement image that presents a continuous geometric topological reorganization.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. In the refined operation and management of mobile communication product channels, a set of basic media elements and a logical assembly topology diagram with spatial slots are distributed by a cloud server. Combined with the environmental context feature parameters collected by the channel terminals, a two-dimensional geometric transformation matrix is ​​constructed using the inner product scalar of the feature parameters and the basic semantic vector of the basic media elements. This achieves the direct translation from fluctuations in physical environment parameters to geometric deformations in multimedia rendering. Compared with the traditional material filling method based on preset templates, this invention continuously maps the real-time state features of the channel's physical environment into transformation parameters that control the rendering coordinates and pixel area of ​​the advertisement. This allows the visual center of gravity of the advertisement to smoothly shift and scale with the evolution of customer flow density and the nonlinear decay of inventory consumption of specific terminal products. This eliminates the visual center of gravity jumps and audience attention loss caused by discrete template switching. Without the need for real-time generation of high-definition video streams in the cloud, it improves the visual fitting accuracy between marketing content and the real-time audience state, thereby maximizing the commercial conversion value of digital marketing activities.

[0017] 2. By configuring a topology complexity adaptive degradation mechanism on the channel terminal, the local hardware's video memory capacity and computing load are monitored in real time, and the node resolution depth of the logical assembly topology graph is dynamically adjusted according to a predetermined load threshold. When the hardware computing power is limited, the mechanism automatically strips non-core dynamic rendering nodes or adjusts the media meta resolution level, effectively balancing the rendering requirements of complex multimedia topologies with the hardware resource constraints of terminal devices in the lower-tier market. This ensures the stability of the system under different hardware conditions, avoids screen tearing or playback stuttering caused by high-frequency feature matching and high-resolution video frame merging, and improves the system's versatility on terminal devices with different performance levels.

[0018] 3. This invention utilizes the minimum necessary information input set composed of passenger flow density and equipment inventory status. Through dynamic assembly units, it updates the display weight and assembly instructions of media elements in real time at the edge. This topology instantiation rendering path driven by local feature vectors transforms the high-entropy information transmission in the traditional full-volume finished product distribution mode into low-entropy logical topology updates, reducing the downlink bandwidth occupation of cross-channel advertising asset distribution. By introducing terminal device inventory status as an auxiliary decision factor, the system can automatically avoid invalid advertising exposure for out-of-stock products, establish causal coupling between physical supply chain status and digital marketing and commercial promotion content, improve the resource utilization rate of multimedia rendering and the logical rigor of commercial marketing conversion, and provide enterprises with a more accurate advertising investment return management tool. Attached Figure Description

[0019] Figure 1 This is a dynamic execution flowchart of the mobile communication product channel refined operation management method of the present invention; Figure 2 This is a diagram illustrating the internal data interaction and communication architecture of the mobile communication product channel refined operation management system of the present invention.

[0020] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0022] This application provides a refined operation and management system for mobile communication product channels, including: The cloud service module is used to build a basic media element set and establish a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system. Each elastic anchor point is uniquely bound to a basic media element. The terminal presentation module includes a perception module, a topology transformation module, and a rendering module; The perception module is used to collect audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesize a multi-dimensional feature vector representing the real-time state of the local presentation context. The topology transformation module is used to calculate the inner product scalar of the multidimensional feature vector and the baseline semantic vector carried by the basic media element, and to construct a two-dimensional geometric transformation matrix that controls the basic media element to be rendered based on the scalar value of the inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. The rendering module receives the logically assembled topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor points, driving the elastic anchor points to generate continuous relative coordinate displacement within the preset coordinate system. It adjusts the base pixel area of ​​the basic media elements in the rendering viewport according to the scaling factor, aggregates all the basic media elements after the relative coordinate displacement and the base pixel area adjustment, and generates a target advertisement screen that presents continuous geometric topology reorganization.

[0023] Preferably, when the perception module synthesizes a multidimensional feature vector, it includes the following steps: obtaining the audience distribution density within the local presentation context through the image acquisition module; synchronizing the resource inventory feedback data of the associated business objects through the data interaction module; and processing the normalization operation of the audience distribution density and the resource inventory feedback data to generate a multidimensional feature vector composed of continuous floating-point numbers.

[0024] Preferably, when establishing the logical assembly topology diagram, the cloud service module determines the initial hierarchical weight of the basic media element in the preset coordinate system based on the visual saliency attribute of the basic media element, and writes the initial hierarchical weight into the node attribute of the logical assembly topology diagram; the logical assembly topology diagram uses a structured text format to describe the spatial constraint relationship between the elastic anchor points.

[0025] Preferably, the presentation terminal module further includes a complexity adaptive adjustment module for monitoring the computing load of the presentation terminal module; when the computing load exceeds a preset load threshold, the complexity adaptive adjustment module strips non-core dynamic rendering nodes from the logical assembly topology diagram and reduces the resolution level of the basic media elements.

[0026] Preferably, the topology transformation module also includes a state linkage module, which is used to reset the active state bit of the corresponding basic media element in the target advertisement screen when the resource stock feedback data reaches the depletion threshold, so that the two-dimensional geometric transformation matrix stops the displacement processing of the basic media element.

[0027] Preferably, the rendering module calls the graphics processing module inside the presentation terminal module to perform matrix multiplication operations on the two-dimensional geometric transformation matrix, and generates the visual transition frame of the target advertisement image in situ on the presentation terminal module side.

[0028] Preferably, the rendering module also includes a visual smoothing filter module, which is used to perform a weighted average operation on the coordinate offset vector and scaling factor in adjacent rendering cycles to eliminate the visual center flicker of the target advertisement image caused by the instantaneous fluctuation of multidimensional feature vectors.

[0029] Preferably, it also includes a hierarchical scheduling module, which is used to send differentiated multi-dimensional feature vector calibration parameters to the perception module according to the contextual attributes of different geographical regions, and correct the value benchmark of the multi-dimensional feature vector for different regional markets.

[0030] Preferably, it also includes a feedback closed-loop module, which collects exposure duration data of the target advertisement screen on the presentation terminal module side, and feeds the exposure duration data back to the topology transformation module to correct the allocation weight of the mapping weight coefficient.

[0031] A method for refined operation and management of mobile communication product channels includes the following steps: Step 1001: The cloud service module constructs a basic media element set and establishes a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system, wherein each elastic anchor point is uniquely bound to a basic media element. Step 1002: The perception module collects audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesizes a multi-dimensional feature vector representing the real-time state of the local presentation context. Step 1003: The topology transformation module processes the inner product operation between the multidimensional feature vector and the reference semantic vector carried by the basic media element, and constructs a two-dimensional geometric transformation matrix that controls the basic media element to be used during rendering based on the scalar value of the obtained inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. Step 1004: The rendering module receives the logical assembly topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor point, driving the elastic anchor point to generate continuous relative coordinate displacement in the preset coordinate system, and adjusting the reference pixel area of ​​the basic media element in the rendering viewport according to the scaling factor. Step 1005: Aggregate all basic media elements after the relative coordinate displacement and reference pixel area adjustment to generate a target advertisement image that presents a continuous geometric topological reorganization.

[0032] Example 1: Deploying the method claimed in this invention in a physical flagship store of a mobile communication product channel. When the system faces a complex situation of drastic fluctuations in local customer flow density caused by the initial launch of a new communication terminal and real-time depletion of inventory of specific product models, the sensing module in the terminal acquires real-time audience distribution density data from the image acquisition module, and synchronizes resource inventory feedback data of the terminal product with the data interaction module. The principle of maximum and minimum value interval mapping is applied to establish a heterogeneous feature parameter alignment calculation procedure. During the acquisition of real-time audience distribution density data, the sensing module extracts the RGB image sequence output by the image acquisition module frame by frame, converts it into a grayscale matrix, and uses an adaptive Gaussian mixture model to separate and extract the foreground pixel region representing the moving customer flow. The system performs connected component labeling on the foreground pixel region to calculate the number of bounding rectangles of the target contour, and divides this number by the preset physical detection area of ​​the current image to generate the number of people per unit area as the audience distribution density data for this acquisition period. The sensing module reads the current... The audience distribution density data is subtracted from the system's preset lower limit of the density environment benchmark, and then divided by the difference between the upper and lower limits of the benchmark. This outputs a spatial feature floating-point scalar with a distribution range limited to 0 to 1. The current resource inventory feedback data is obtained and divided by the channel's physical network's preset maximum design inventory capacity constant, outputting an inventory redundancy floating-point scalar with a distribution range limited to 0 to 1. The perception module combines the above spatial feature floating-point scalar and inventory redundancy floating-point scalar according to the fixed tensor dimension data bus order, and determines the normalized values ​​of the audience distribution density and resource inventory feedback data. This generates a multi-dimensional feature vector composed of continuous floating-point numbers, used to characterize the real-time physical evolution state of the current channel environment. The logical mapping unit within the terminal receives the basic media element set and logical assembly topology diagram from the cloud service module, retrieves the benchmark semantic vector carried by the basic media elements bound to each elastic anchor point, and constructs a two-dimensional geometric transformation matrix based on the inner product scalar between the multi-dimensional feature vector and each benchmark semantic vector. The calculation method of the inner product scalar is as follows: ,in, For the first The inner product scalar corresponding to each basic media element For multidimensional feature vectors, For the first To ensure the mathematical validity of the inner product operation across different dimensions, the multidimensional feature vector and the benchmark semantic vector are uniformly mapped to a shared orthogonal basis before the dot product is performed. The direction of the first basis vector represents the scalar of exposure potential brought about by the crowd gathering degree, and the direction of the second basis vector represents the scalar of delivery capability reflected by the current inventory redundancy. Under this shared space, the physical meaning of each component of the benchmark semantic vector is transformed into the expected adaptation weight of the media element to a specific customer flow density and inventory level, thereby achieving the goal that the inner product operation of the two can reflect the degree of vector collinearity between the current local presentation context and the media element promotion needs.

[0033] The topology transformation module establishes the two-dimensional geometric transformation matrix used to control the basic media elements during rendering based on the calculated inner product scalar. This matrix includes coordinate offset vectors and scaling factors, with the offset vectors and scaling factors maintaining a monotonically positive correlation with the inner product scalar. The scaling factor is generated using a closed-loop logic based on the principle of linear spatial mapping. The topology transformation module then uses the formula... The area parameter is converted numerically, where, The table represents the dimensionless scaling factor applied to the underlying media elements within the rendering viewport. The system outputs the inner product scalar for the corresponding media element in the early stages of calculation. The gain coefficient representing the solidified area expansion in the physical storage unit is a real constant constrained to a range of 0.5 to 1.5. The rendering module applies each two-dimensional geometric transformation matrix to each elastic anchor point distributed in the preset coordinate system within the logical assembly topology diagram, driving the elastic anchor points to generate continuous relative coordinate displacement within the preset coordinate system. Based on the scaling factor, the base pixel area of ​​the basic media elements bound to the elastic anchor points in the rendering viewport is adjusted. The basic media elements corresponding to products with high matching degree and sufficient inventory smoothly converge towards the visual center point of the physical display screen and generate display area expansion. The basic media elements corresponding to products with low matching degree or insufficient inventory linearly push towards the edge of the screen and shrink the base pixel area. The rendering module aggregates all basic media elements after continuous geometric topology reorganization, generates the target advertisement image containing visual transition frames in situ on the presentation terminal side, and outputs it to the physical display screen. This eliminates the visual center of gravity jump and audience attention loss caused by discrete template switching, improves the visual fitting accuracy of marketing content and real-time audience status, and enables the organic visual flow generated by the terminal display screen to generate smooth geometric topology reorganization with the nonlinear decay of local physical conditions.

[0034] Example 2: An experimental platform was set up in a mobile communication product experience center with high-frequency fluctuations in pedestrian traffic. An image acquisition module deployed at the top of the display terminal was used to acquire real-time audience distribution density data. The sampling frequency of the image acquisition module was set to 30Hz and the resolution to 1920 pixels multiplied by 1080 pixels. Simultaneously, a data interaction module synchronized resource inventory feedback data of related business objects at a period of 100ms to determine the sampling period. To balance the audience's visual persistence time with the computing load of the display terminal, when the audience's movement speed is between 0.5 meters and 1.5 meters per second, in order to maintain smooth visual transition frames and reduce the graphics processor utilization to below 40%, the sampling period is adjusted. The time was set to 100ms, and to simulate the measurement error caused by sensor jitter in the physical channel. Gaussian white noise with a signal-to-noise ratio of 20dB was actively superimposed on the audience distribution density data input end.

[0035] The experimental group used the method claimed in this invention, while the control group used a traditional template switching method based on discrete threshold triggering. When the audience distribution density continuously increased from 0.18 to 0.82 and the resource inventory feedback data remained stable at 0.88, the control group generated a jump replacement of basic media elements when the density crossed the preset threshold of 0.50, while the experimental group used the multi-dimensional feature vector determined by the perception module. The baseline semantic vector carried by the basic media element The operation yields a continuously varying inner product scalar. Inner product scalar The calculation formula is as follows: ,in, For inner product scalar, For multidimensional feature vectors, For the first The baseline semantic vector of each basic media element, and due to the inner product scalar As the audience distribution density increases, the coordinate offset vector determined by the topology transformation module guides the basic media element of a specific product to smoothly converge from the screen edge to the visual center point with a displacement of 5 pixels per frame.

[0036] In the gradient verification experiment, multiple test groups with different resource inventory feedback data gradients were set up. When the resource inventory feedback data was in the range of 0.75 to 0.85, the scaling factor of the target basic media element increased linearly from 1.12 to 2.45 as the audience distribution density increased. However, when the resource inventory feedback data was in the scarce range below 0.12, the scaling factor increased from 0.22 to 0.78 as the audience distribution density increased, stopped increasing after reaching 1.05, and quickly fell back to 0.42. The basic media element experienced outward displacement. This phenomenon confirms that the system actively reduced the visual weight of the corresponding marketing elements after recognizing that the product resource inventory was below the preset depletion threshold, so that the limited display area focused on the available products, thereby achieving extreme optimization of the presented content under specific physical constraints. Analysis of the processed data after superimposed noise revealed that the inner product scalar The calculation process has a smoothing effect on random jitter. After the two-dimensional geometric transformation matrix is ​​applied, the deviation rate of the elastic anchor point trajectory is maintained below 2.8%, while the original signal without the processing of this invention causes visual flickering in the picture under the same noise intensity. The test results confirm that this invention achieves accurate fitting between marketing content and channel conditions by directly translating physical parameters into geometric transformation matrices.

[0037] Example 3: In a mobile communication product channel's business hall deployment environment, the presentation terminal module faces high-concurrency multimedia rendering tasks, and the graphics processing module experiences temperature drift due to limited heat dissipation. During the initialization phase, the presentation terminal module determines a preset load threshold by running a logical assembly topology diagram containing 512 baseline multimedia elements. It also calculates the average instruction processing latency of the graphics processing module while maintaining a visual transition frame refresh rate of 60Hz, and sets 1.25 times the average instruction processing latency as the preset load threshold. The perception module determines a multi-dimensional feature vector representing the real-time physical state of the current channel environment. Subsequently, the logical mapping unit retrieves the base semantic vector of the basic media element bound to each elastic anchor point in the logical assembly topology diagram. Calculate multidimensional feature vectors With each baseline semantic vector Inner product scalar between Inner product scalar The physical meaning of the symbol represents the semantic association strength between the corresponding basic media element and the characteristics of the current channel environment.

[0038] The topology transformation module calculates the inner product scalar. Determine the coordinate offset vector in the two-dimensional geometric transformation matrix The calculation formula is as follows: ,in, This is the coordinate offset vector. For inner product scalar, The mapping method uses a unit direction vector from the current coordinates of the elastic anchor point to the center point of the screen within a preset coordinate system. It determines a centering displacement weight that increases with semantic association strength. In the actual rendering pipeline, since this generated centering displacement weight is a dimensionless logical scalar, the system extracts the total length of the physical screen diagonal pixels of the currently rendered terminal as a global scaling factor before converting it into a physical increment driving pixel movement. The system then multiplies the centering displacement weight by this global scaling factor and a preset inter-frame time interval constant to generate a discrete pixel coordinate offset that ultimately matches the current terminal's hardware resolution. This is achieved by introducing a screen diagonal pixel reference as a proportional conversion. The bridge ensures that when display terminal devices of different sizes and pixel densities process the same logical displacement increment, the basic media elements produce visually consistent displacement speeds on the physical screen. The complexity adaptive adjustment module within the display terminal continuously monitors the computing load of the graphics processing module. When the computing load increases from 35% in the normal state to 85% and exceeds the preset load threshold, the system resets the active state bits of non-core rendering nodes to zero in order from low to high according to the hierarchical weights written in the logical assembly topology diagram, and reduces the texture resolution sampling level of the core basic media elements from 2048 pixels to 1024 pixels to reduce the frequency of matrix multiplication operations of the two-dimensional geometric transformation matrix.

[0039] The rendering module drives continuous topological displacement of each elastic anchor point based on the coordinate offset vector and scaling factor. High-priority product elements smoothly occupy the visual center of the display as the audience distribution density increases, while low-priority elements converge to a static display state under computing power constraints. This achieves fitting between multimedia design and production and the computing power boundary of the terminal hardware, eliminating visual center of gravity jumps caused by overload of the graphics processing module. When presenting the reorganization operation of the topology diagram assembled by the terminal module processing logic, the system parses the non-overlapping constraint operator between elastic anchor points defined in the structured text. The non-overlapping constraint operator specifies the minimum Euclidean distance between two adjacent elastic anchor points in the preset coordinate system. When the topology transformation module is based on the inner product scalar When the calculated coordinate offset vector drives multiple basic media elements to converge toward the visual center point, if the bounding boxes of two adjacent basic media elements intersect within the rendering viewport, the system initiates a displacement correction procedure based on a penalty function. The logic of the displacement correction procedure is as follows: in, The corrected coordinate position. This is the original calculation location. This is the unit repulsion vector between adjacent anchor points. For the current real-time distance, this procedure introduces spatial repulsion during geometric deformation to ensure that the basic media elements maintain the clarity of the visual layout when generating continuous geometric topological reorganization. During the operation of the above correction procedure, the system constructs a two-dimensional axial bounding box by extracting the pixel length and width dimensions of each basic media element at the current rendering level, and determines whether the vertex coordinate sets of adjacent bounding boxes intersect in each rendering frame, which serves as the trigger condition for collision detection. When the bounding box intersection is detected, a line is established from the geometric center of the statically adjacent basic media elements to the geometric center of the currently displaced basic media element, and the direction of this line is used as the direction of the above-mentioned unit repulsion vector, thereby pushing the basic media elements that generate interference outward along the center line until the real-time distance is greater than the minimum Euclidean distance.

[0040] Example 4: In a cross-regional multimedia playback network deployment environment, the presentation terminal faces the challenges of differences in the physical size of the display carrier and fluctuations in ambient background brightness. The presentation terminal uses a calibration unit to collect the length and width pixel dimensions of the physical display screen and establish a preset coordinate system normalized to the range of 0.0 to 1.0. Simultaneously, it determines the initial transparency compensation coefficient of the basic media element based on the measured value of the ambient background brightness, statistically analyzes the displacement response deviation of each elastic anchor point in the logical assembly topology diagram under preset geometric transformation instructions, and uses the least squares method to fit a correction operator for the coordinate offset vector, so that the marketing elements maintain the proportional stability of the visual distribution on display carriers with different sizes. When fitting the correction operator, the system sets the reference offset coordinates of each elastic anchor point on the standard test terminal as the reference value of the fitting objective function, and uses the actual display offset coordinates fed back by the current presentation terminal as the observation value. The coordinate difference between the two in the same normalized preset coordinate system is calculated as the residual variable. The calibration unit solves by minimizing the sum of squares of the residual variable and outputs a two-dimensional vector operator containing horizontal and vertical scaling compensation coefficients, which is then multiplied into the corresponding coordinate offset vector.

[0041] When constructing the basic media element set, the cloud service module faces the preprocessing task of multimodal material feature space mapping. The system uses the text extraction unit to vectorize the advertising copy, determine the semantic coordinates of the basic media elements in the dimensions of audience attention and product scarcity, and encapsulate them into a baseline semantic vector. Simultaneously, under controlled conditions, multidimensional feature vectors are calculated by simulating audience distribution density with gradients and resource inventory feedback data. With reference semantic vector inner product scalar This is used to calibrate the growth slope of the scaling factor, so that the elastic anchor points in the logic assembly topology have a geometric deformation mapping benchmark before responding to fluctuations in physical parameters.

[0042] Example 5: In the centralized deployment process of a cross-regional mobile communication terminal retail network, the cloud service module determines the hierarchical weights for each basic media element. The system utilizes a saliency detection unit to extract color contrast and texture complexity features of basic media elements, and inputs these features into a preset saliency evaluation function to calculate saliency scores. A weighted integration principle is introduced to establish the core data processing operator of the evaluation function, which is based on the formula... The operation outputs the final scalar result, where, The representative calculation yields the basic media metasignature score. The system extracts and generates color contrast parameters from the original image data using linear normalization. This represents the high-frequency energy parameters extracted from frequency domain data and calculated using linear normalization to generate texture complexity. These represent the hardware-preset weighting constants independently assigned to the color channel and texture channel, respectively, with their sum always equal to a constant 1; these are used as the initial hierarchical weights. The logical assembly topology diagram is written in; simultaneously, the cloud service module uses a pre-trained encoder model to vectorize the business description text of the multimedia advertising material, generating a fixed-dimensional feature tensor, and then uses a linear projection matrix to convert this feature tensor into a multi-dimensional feature vector. Reference semantic vectors located in the same space This establishes a quantitative benchmark for subsequent inner product operations. Specifically, the parameters of the linear projection matrix are obtained by offline collection of historical channel customer flow distribution density and product inventory consumption records, and by performing typical correlation analysis training on the corresponding advertising text with high conversion rate and clear semantic annotation. The system multiplies the high-dimensional text feature tensor output by the pre-trained encoder with this two-dimensional reduction matrix, directly extracts the first two principal component dimensions of the output vector, and uses the Sigmoid activation function to compress the scalar values ​​of each dimension to the floating-point range of 0.0 to 1.0, thereby constructing a benchmark semantic vector that is reduced from text semantic features to two-dimensional continuous floating-point numbers.

[0043] When determining the active priority of each elastic anchor point, the presentation terminal module uses the hierarchical weights written in the logical assembly topology graph. When the computing load monitored by the terminal module exceeds a preset load threshold, the system calculates the vertex influence score of each elastic anchor point. Specifically, the vertex affects the score. The calculation method is as follows: ,in, The vertex affects the score. For the corresponding hierarchical weights of the elastic anchor points, It is an inner product scalar; and the complexity adaptive adjustment module scores based on vertex influence. The active status bits of the basic media elements are reset to zero in ascending order, and the rendering state of the corresponding nodes is restored when the computing load falls to less than 0.8 times the preset load threshold. Low-weight rendering nodes stop geometric transformation operations when the graphics processing module load is high.

[0044] In the dynamic inventory monitoring scenario of mobile communication product channels, the status linkage module within the topology transformation module sets up independent resource inventory monitoring sentinels for each basic media element. When the data interaction module feeds back resource inventory feedback data for a specific product model... When the value drops below the preset exhaustion threshold of 0.05, the system triggers a state zeroing interrupt, changing the active state bit field of the corresponding elastic anchor point in the logical assembly topology diagram from 1 to 0. Before performing matrix multiplication, the rendering module searches for the active state bit of each node. For nodes with an active state bit of 0, the graphics processing module skips the address addressing and pixel shading instructions of its two-dimensional geometric transformation matrix, causing the basic media elements of the product to be instantly removed from the visual flow of the current target advertisement screen. This redirects the rendering resources of the physical display screen to the marketing elements with sufficient inventory, thereby realizing the forced constraint of the business logic state on the rendering instruction set.

[0045] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A refined operation and management system for mobile communication product channels, characterized in that, include: The cloud service module is used to build a basic media element set and establish a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system. Each elastic anchor point is uniquely bound to a basic media element. The terminal presentation module includes a perception module, a topology transformation module, and a rendering module; The perception module is used to collect audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesize a multi-dimensional feature vector representing the real-time state of the local presentation context. The topology transformation module is used to calculate the inner product scalar of the multidimensional feature vector and the baseline semantic vector carried by the basic media element, and to construct a two-dimensional geometric transformation matrix that controls the basic media element to be rendered based on the scalar value of the inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. The rendering module receives the logically assembled topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor points, driving the elastic anchor points to generate continuous relative coordinate displacement within the preset coordinate system. It adjusts the base pixel area of ​​the basic media elements in the rendering viewport according to the scaling factor, aggregates all the basic media elements after the relative coordinate displacement and the base pixel area adjustment, and generates a target advertisement screen that presents continuous geometric topology reorganization.

2. The mobile communication product channel refined operation management system according to claim 1, characterized in that, When synthesizing multidimensional feature vectors, the perception module includes the following steps: obtaining the audience distribution density within the local presentation context through the image acquisition module; synchronizing the resource inventory feedback data of the associated business objects through the data interaction module; and processing the normalization operation of the audience distribution density and resource inventory feedback data to generate a multidimensional feature vector composed of continuous floating-point numbers.

3. The mobile communication product channel refined operation management system according to claim 1, characterized in that, When establishing the logical assembly topology diagram, the cloud service module determines the initial hierarchical weight of the basic media element in the preset coordinate system based on its visual salience attribute, and writes the initial hierarchical weight into the node attribute of the logical assembly topology diagram; the logical assembly topology diagram uses a structured text format to describe the spatial constraint relationship between the elastic anchor points.

4. The mobile communication product channel refined operation management system according to claim 1, characterized in that, The presentation terminal module also includes a complexity adaptive adjustment module, which monitors the computing load of the presentation terminal module. When the computing load exceeds a preset load threshold, the complexity adaptive adjustment module strips non-core dynamic rendering nodes from the logical assembly topology diagram and reduces the resolution level of the basic media elements.

5. The mobile communication product channel refined operation management system according to claim 1, characterized in that, The topology transformation module also includes a state linkage module, which is used to reset the active state bit of the corresponding basic media element in the target advertisement screen when the resource stock feedback data reaches the depletion threshold, so that the two-dimensional geometric transformation matrix stops the displacement processing of the basic media element.

6. The mobile communication product channel refined operation management system according to claim 1, characterized in that, The rendering module calls the graphics processing module inside the presentation terminal module to perform matrix multiplication operations on the two-dimensional geometric transformation matrix, and generates the visual transition frame of the target advertisement image in situ on the presentation terminal module side.

7. The mobile communication product channel refined operation management system according to claim 1, characterized in that, The rendering module also includes a visual smoothing filter module, which is used to perform a weighted average calculation on the coordinate offset vectors and scaling factors in adjacent rendering cycles.

8. The mobile communication product channel refined operation management system according to claim 1, characterized in that, It also includes a hierarchical scheduling module, which is used to send differentiated multi-dimensional feature vector calibration parameters to the perception module according to the contextual attributes of different geographical regions, and correct the value benchmark of the multi-dimensional feature vector for different regional markets.

9. The mobile communication product channel refined operation management system according to claim 1, characterized in that, It also includes a feedback closed-loop module, which collects exposure duration data of the target advertisement screen on the presentation terminal module side and feeds the exposure duration data back to the topology transformation module to correct the allocation weight of the mapping weight coefficient.

10. A method for refined operation management of mobile communication product channels, used to run the refined operation management system for mobile communication product channels as described in claim 1, characterized in that, Includes the following steps: Step 1001: The cloud service module constructs a basic media element set and establishes a logical assembly topology diagram containing several elastic anchor points distributed in a preset coordinate system, wherein each elastic anchor point is uniquely bound to a basic media element. Step 1002: The perception module collects audience distribution density and resource inventory feedback data of related business objects in the local presentation context, and synthesizes a multi-dimensional feature vector representing the real-time state of the local presentation context. Step 1003: The topology transformation module processes the inner product operation between the multidimensional feature vector and the reference semantic vector carried by the basic media element, and constructs a two-dimensional geometric transformation matrix that controls the basic media element to be used during rendering based on the scalar value of the obtained inner product scalar. The two-dimensional geometric transformation matrix includes coordinate offset vectors and scaling factors. Step 1004: The rendering module receives the logical assembly topology map and applies the two-dimensional geometric transformation matrix to the corresponding elastic anchor point, driving the elastic anchor point to generate continuous relative coordinate displacement in the preset coordinate system, and adjusting the reference pixel area of ​​the basic media element in the rendering viewport according to the scaling factor. Step 1005: Aggregate all basic media elements after the relative displacement of coordinates and adjustment of the reference pixel area to generate a target advertisement image that presents a continuous geometric topological reorganization.

Images