Urban update district function positioning optimization method and system

Abstract

The invention discloses a function positioning optimization method and system for a city update district, and relates to the technical field of city planning and intelligent decision making, and the method comprises the following steps: combing the operation rhythms of an environment collection link and a building self-control link in the city update district; respectively determining a data refresh cycle of an environment acquisition link and a response rhythm of a building self-control link, and establishing a frequency distribution diagram; after the establishment of the frequency distribution diagram is completed, the operation moments of the environment acquisition link and the building self-control link are compared item by item, the delay point and the advance point of each operation node are extracted, and a time difference distribution diagram is generated. According to the invention, by combing and reconstructing the operation rhythm of environment acquisition and building automatic control, the dynamic matching of the data refresh cycle and the control rhythm is realized, and the mismatch caused by acquisition lag and control advance is eliminated. Through a rhythm self-correction and time sequence recombination strategy, real-time synchronization of acquisition and control is realized, energy efficiency and comfort are improved, and intelligent and stable operation of a city update area is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning and intelligent decision-making, and particularly relates to a method and system for optimizing the functional positioning of urban renewal areas. Background Art

[0002] The optimization of the functional positioning of urban renewal areas refers to, on the premise of retaining the regional spatial texture and industrial heritage, introducing machine learning technology to conduct data analysis and intelligent modeling on spatial structure, industrial characteristics, and resource elements, redefining the role and functional division of the area in the urban system, and transforming it from inefficient and single industrial land to a complex and efficient urban functional space. By using machine learning to identify and optimize the correlation characteristics of the current space, industrial form, and resource endowment, the original advertising production, warehousing, and traditional commerce are gradually replaced by a multi-functional system dominated by digital creativity, cultural display, smart consumption, and ecological leisure, achieving the upgrade from a single supply-type park to an innovative experience-type urban area. In the optimization process, machine learning algorithms are used to dynamically simulate and adjust the weights of functional complementarity and traffic line connection, forming a coordinated and symbiotic pattern in land use, industrial layout, and spatial form, thereby promoting the transformation of the area from extensive development to refined renewal, and constructing a high-quality intelligent urban renewal sample integrating consumer drainage, cultural origin, and integration of industry and city.

[0003] The existing technologies have the following deficiencies:

[0004] In the existing technologies, digital intelligent harbor complexes usually integrate multiple automated subsystems, including an environmental perception system and a building automation control system. The perception system is responsible for collecting environmental parameters such as temperature, humidity, light intensity, and air quality in real time, and the automation control system performs control actions such as lighting adjustment, air conditioner operation, and self-cleaning equipment startup based on these data. However, in a complex building environment, the update frequencies of these two types of systems often differ. The data collection period of the perception system is relatively long, while the execution period of the automation control system is short. When they are out of sync, it is extremely easy to cause situations of data feedback lag or response lead. For example, when the perception system fails to upload temperature change data in time, the air conditioning system will continue to cool based on expired information, resulting in too low room temperature; when there is a delay in light perception, the lighting system will misjudge the brightness as insufficient and frequently turn on the lights; the self-cleaning system will also malfunction when the air quality data is delayed in uploading. This frequency misalignment is more likely to be superimposed and amplified in a dynamic environment, forming a rhythm disorder between systems, which will not only cause energy waste, but also reduce the equipment lifespan, affect the environmental comfort, and even trigger linkage out-of-control.

[0005] The above information disclosed in the background art section is only used to strengthen the understanding of the background of the present disclosure, and therefore it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for optimizing the functional positioning of urban renewal areas, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for optimizing the functional positioning of urban renewal areas, comprising the following steps:

[0008] The operational rhythm of environmental data collection and building automation in the urban renewal area was analyzed, the data refresh cycle of environmental data collection and the response rhythm of building automation were determined, and a frequency distribution map containing various operational frequency parameters was established for subsequent rhythm comparison.

[0009] After the frequency distribution map is established, the operation times of the environmental acquisition stage and the building automation stage are compared item by item. The delay points and advance points of each operation node are extracted to generate a time difference distribution map that reflects the relationship of time differences, providing a time reference for rhythm anomaly analysis.

[0010] By analyzing the time difference distribution map, the sources of time delay for each running node are tracked, the rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs is identified, and a mismatch detail table containing the sources of delay and influencing parameters is generated to guide rhythm correction.

[0011] Based on the results of the mismatch details table, the refresh rhythm and execution order of the environmental data acquisition and building automation control links are reset, the flexible update time, response priority and rhythm buffer are determined, and a synchronous adjustment draft for coordinated control is formed.

[0012] Coordinated control is implemented according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase of operation, reverse instruction write-back, intermittent sampling pause and time drift capture strategies are executed. By reorganizing the timing of collected data and control instructions, the environmental acquisition link and the building automation link maintain a consistent rhythm during operation, so as to achieve real-time synchronization and stable operation of data feedback and execution actions.

[0013] Preferably, the steps for establishing the frequency distribution map are as follows:

[0014] The operational objects within the urban renewal area are classified and identified, and the environmental data collection and building automation control processes are included in the monitoring scope, with their respective operational parameters recorded.

[0015] After completing the recording of operating parameters, the time series of the environmental data acquisition and building automation control are organized, and the data acquisition time points and control execution time points are aligned on a unified time axis to form a corresponding relationship.

[0016] After completing the time correspondence, frequency features are extracted from the refresh cycle and response time of each operation stage to generate a dataset containing continuous time-frequency mapping.

[0017] After extracting the frequency data, a frequency distribution map is created with time as the horizontal axis and operating frequency as the vertical axis. The frequency curves of the environmental acquisition stage and the building automation stage are presented in the same graph to show the synchronous, differential, and overlapping sections of the two.

[0018] Preferably, in the process of establishing the frequency distribution map, the refresh curve of the environmental acquisition link and the response curve of the building automation link are drawn synchronously according to the time series, and the frequency parameter is used as the calibration benchmark. The curves are continuously connected through the time axis to form a comparison curve, so as to reflect the frequency change relationship and rhythm coordination status of the environmental acquisition link and the building automation link during operation.

[0019] Preferably, the steps for generating the time difference distribution map are as follows:

[0020] Based on the frequency distribution map, the refresh cycle of the environmental acquisition link and the response time of the building automation link are processed by time sequence expansion, and the running nodes are arranged in time order to form a continuous running time sequence.

[0021] After the sequence of running times is formed, the refresh end time of the environmental data acquisition behavior and the control start time of the building automatic control behavior are matched one by one to generate time segments containing time pairing relationships.

[0022] After completing the time pairing, the time difference is extracted with the end time of data collection and refresh as a reference, and the delay point and advance point are identified. The time difference is then associated with the node type and running frequency.

[0023] After the time difference is extracted, a time difference distribution map is constructed with the time difference as the vertical axis and the running time as the horizontal axis, so that the delay point and the advance point form a comparison curve on the same time axis, which is used for subsequent rhythm anomaly analysis.

[0024] Preferably, when constructing the time difference distribution map, the refresh cycle curve of the environmental acquisition stage and the response beat curve of the building automation stage are plotted on the same time coordinate. Different markers are used to distinguish between delay points and advance points, so that the time difference curve reflects the delay and advance magnitude vertically and the running time process horizontally, so as to realize continuous comparison of acquisition and control rhythm and identification of deviation trend.

[0025] Preferably, the steps for generating the mismatch details table are as follows:

[0026] The delayed points and advanced points are centrally organized in the time difference distribution map, the time difference distribution curve is divided into continuous segments, and the number, occurrence time, duration and related link type of each running node are extracted to form a node operation table.

[0027] Based on the node operation table, and with the delay magnitude of the time difference distribution map as a reference, the sources of delay in the environmental data acquisition and building automation processes are analyzed one by one, and three types of time offset are identified: data acquisition and uploading lag, data transmission blockage, and control command backlog.

[0028] After identifying the sources of delay, the impact range and associated parameters of each type of delay are extracted and uniformly sorted according to the horizontal time scale of the time difference distribution map.

[0029] After the sources of delay and the parameters affecting them are compiled, a mismatch details table is created, recording the delay type, time difference, duration, and related parameters in the table to guide subsequent rhythm adjustments.

[0030] Preferably, the steps for simultaneously adjusting the draft are as follows:

[0031] Based on the distribution characteristics of various delay sources in the mismatch details table, the operation rhythm of the environmental data acquisition and building automation processes is analyzed as a whole. The time difference, delay duration and related process types are extracted to determine the time range of the delay concentration area and the advance concentration area.

[0032] Within the defined adjustment range, the refresh cycle of the environmental data collection process is reset according to the delay range, the data collection start time is adjusted, and the time distribution is balanced through staggered peak times, so that the refresh rhythm has flexible adjustment characteristics.

[0033] After the environmental data collection rhythm is adjusted, the execution order of the building automation process is rearranged, and priorities are determined and time buffer intervals are set based on the urgency and dependence of the response.

[0034] After setting the refresh rhythm and execution order, determine the flexible update time, response priority, and rhythm buffer, and form a synchronous adjustment draft for coordination and control.

[0035] Preferably, the elastic update time is dynamically adjusted according to the duration of the delay type, the response priority is determined according to the real-time dependence of the control task on environmental parameters, and the rhythm buffer is set according to the fluctuation amplitude in the time difference distribution map, so that the environmental acquisition link and the building automation link form an adaptive time rhythm coordination mechanism during operation.

[0036] Preferably, coordinated control is implemented according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase, three strategies are executed: reverse instruction write-back, intermittent sampling pause, and time drift capture. The timing reordering steps for the acquired data and control instructions are as follows:

[0037] Based on the rhythm parameters in the synchronous adjustment draft, the operation status of the environmental data acquisition and building automation control links is initialized and synchronized, and the refresh rhythm, response priority, elastic update time and rhythm buffer are loaded into the operation process;

[0038] During the transition from normal operation to sudden change operation, reverse instruction write-back is performed based on the elastic update time and rhythm buffer. The effective order of control instructions is corrected by time backtracking, so that control actions and data feedback are re-aligned.

[0039] After the reverse instruction is written back, intermittent sampling pauses are performed according to the rhythm buffer to briefly pause part of the refresh task in order to restore the rhythm balance between acquisition and control.

[0040] After the intermittent sampling pause is completed, time drift capture is performed according to the response priority and elastic update time. Dynamic synchronization of acquisition and control is achieved through time drift identification and correction.

[0041] A system for optimizing the functional positioning of urban renewal areas includes a rhythm analysis module, a time difference modeling module, a delay diagnosis module, a synchronization adjustment module, and a rhythm coordination module.

[0042] The rhythm analysis module analyzes the operational rhythm of the environmental data collection and building automation processes within the urban renewal area, determines the data refresh cycle of the environmental data collection process and the response rhythm of the building automation process, and establishes a frequency distribution map containing various operational frequency parameters for subsequent rhythm comparison.

[0043] The time difference modeling module, after completing the frequency distribution map, compares the operation times of the environmental acquisition stage with those of the building automation stage item by item, extracts the delay points and advance points of each operation node, and generates a time difference distribution map that reflects the relationship of time differences, providing a time reference for rhythm anomaly analysis.

[0044] The delay diagnosis module analyzes the time difference distribution map to track the sources of time delay for each running node, identifies rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs, and generates a mismatch detail table containing delay sources and influencing parameters to guide rhythm correction.

[0045] The synchronization adjustment module, based on the results of the mismatch details table, resets the refresh rhythm and execution order of the environmental acquisition and building automation links, determines the flexible update time, response priority, and rhythm buffer, and forms a synchronization adjustment draft for coordinated control.

[0046] The rhythm coordination module implements coordinated control according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase of operation, it executes reverse instruction write-back, intermittent sampling pause and time drift capture strategies. By reorganizing the timing of the collected data and control instructions, it ensures that the environmental acquisition link and the building automation link maintain a consistent rhythm during operation, and achieves real-time synchronization and stable operation of data feedback and execution actions.

[0047] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0048] This invention addresses the issue of misalignment caused by data acquisition lag and control advance by streamlining, comparing, and synchronously reconstructing the operational rhythms of environmental data acquisition and building automation. This ensures dynamic matching between the data acquisition refresh cycle and control execution rhythm within a unified timeframe. By establishing frequency and time difference distribution maps, a temporal mapping relationship between data acquisition and control is formed, enabling control actions to respond based on the latest data. This reduces energy waste and control fluctuations, resulting in a smoother operational rhythm for the area and achieving dynamic self-coordination and precise response of the building environment.

[0049] This invention generates a mismatch detail table and formulates a synchronization adjustment draft based on it, determining the elastic update time, response priority, and rhythm buffer, thereby achieving rhythm self-correction and adaptive coordination during abrupt changes in operation. Through reverse instruction write-back, intermittent sampling pause, and time drift capture strategies, a closed-loop time reconfiguration mechanism for acquisition and control is constructed, enabling the system to automatically adjust and stably synchronize under complex operating conditions. This improves environmental comfort and energy efficiency, extends equipment lifespan, and ensures the intelligent operation quality of urban renewal areas. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0051] Figure 1 This is a flowchart of a method for optimizing the functional positioning of urban renewal areas according to the present invention.

[0052] Figure 2 This is a schematic diagram of a module of an urban renewal area functional positioning optimization system according to the present invention. Detailed Implementation

[0053] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0054] This invention provides, for example Figure 1 The method for optimizing the functional positioning of urban renewal areas, as shown, includes the following steps:

[0055] The operational rhythm of environmental data collection and building automation in the urban renewal area was analyzed, the data refresh cycle of environmental data collection and the response rhythm of building automation were determined, and a frequency distribution map containing various operational frequency parameters was established for subsequent rhythm comparison.

[0056] In the process of optimizing the functional positioning of urban renewal areas, in order to streamline the operational rhythm of environmental data collection and building automation, and to ensure consistency between the two in subsequent control and feedback processes, the following steps are implemented:

[0057] The operational objects within the urban renewal area were categorized and identified, and environmental data acquisition sensors and building automation units were included in the monitoring scope, with their respective operating parameters fully recorded. Environmental data acquisition included temperature, humidity, light intensity, and air quality data. The operational cycle of each acquisition step was determined by analyzing the refresh frequency, sampling interval, and upload cycle of the sensors, clarifying the time interval of data acquisition and the duration of response. Building automation included lighting control, air conditioning control, air purification control, and self-cleaning control. The execution cycle of each control step was obtained through operational log extraction and response time statistics, reflecting the start time, execution duration, and downtime interval of the control action. Through this process, the data refresh cycle of the environmental data acquisition step and the response rhythm of the building automation step were recorded uniformly on the same timeline, laying the foundation for subsequent rhythm analysis.

[0058] After obtaining the basic time series of the environmental data acquisition and building automation control processes, their operational rhythms were correlated and organized. The refresh times of all environmental data acquisition were arranged chronologically, and the execution times of the building automation control processes were aligned on the same time scale. To ensure the accuracy of the time correspondence, the refresh cycles of each type of acquisition process were grouped, with acquisition processes having similar cycles forming a reference rhythm. The execution rhythm of the control processes was then compared one by one with this reference rhythm. In this process, through a standardized timeline representation, multiple rhythm correspondences were formed. Each correspondence included the acquisition start time, acquisition end time, control trigger time, and control completion time, thus fully presenting the differences in the working rhythms between each process. The results of this stage not only reflect the time distribution characteristics of each operational process but also reveal the temporal dependencies between different acquisition parameters and control execution, providing a data foundation for frequency feature extraction.

[0059] After completing the time-correspondence analysis, frequency characteristics were extracted for the operational rhythm of each stage. Based on time intervals, the refresh cycle frequency of the environmental acquisition stage and the response clock frequency of the building automation stage were calculated, and the two types of frequency data were matched. For acquisition stages with large refresh cycle variations, the average refresh frequency of multiple stages was extracted by grouping by time period, thus obtaining a continuous time-frequency mapping. For automation stages with unstable response clocks, the actual response frequency was extracted by combining the number of executions and the response duration. Based on this, the frequency data of all acquisition and automation stages were summarized according to a unified dimension, and the frequency parameters of each operational node were calibrated under the same coordinate system. In this way, the refresh cycle of the environmental acquisition stage and the response clock of the building automation stage form a comparable dataset, providing a unified frequency standard for subsequent analysis.

[0060] After frequency data extraction, a frequency distribution map is created, incorporating the refresh cycle of the environmental acquisition stage and the response beat of the building automation stage. The frequency distribution map uses time as the horizontal axis and operating frequency as the vertical axis, visually representing the frequency parameters of all acquired and automated data. Each operating node in the map corresponds to a frequency calibration point, and these calibration points are connected by a time series to form a continuous frequency curve. During the plotting process, the refresh curve of the environmental acquisition stage and the response curve of the building automation stage are presented simultaneously, allowing them to be compared on the same graph. This method clearly shows the synchronous, differential, and overlapping segments of the acquisition and automation stages in time. The frequency distribution map not only includes quantitative parameters of the refresh cycle and response beat but also records the time distribution, duration, and trends of each stage's operation, thus providing comprehensive data support for subsequent rhythm comparison and time coordination.

[0061] After the frequency distribution map is established, compare the operation times of the environmental acquisition link and the building automation control link item by item, extract the delay points and early points of each operation node, and generate a time difference distribution map reflecting the time difference relationship to provide a time comparison for the analysis of abnormal rhythms;

[0062] After the frequency distribution map is established, in order to deeply reveal the offset relationship between the environmental acquisition link and the building automation control link in time operation and thus form a time difference distribution map that can reflect the time difference characteristics, the specific implementation steps are as follows:

[0063] Based on the obtained frequency distribution map, perform a time sequence expansion process on the refresh cycle of the environmental acquisition link and the response beat of the building automation control link contained therein. Arrange each operation node in the frequency distribution map in chronological order to form a continuously readable operation time sequence. Each operation time is identified by a specific time point and is simultaneously associated with its corresponding operation type and frequency parameter, so that each acquisition behavior and the corresponding control behavior can form a pair on the same time axis. The time axis at this time serves as a comparison baseline, covering the refresh start time, refresh end time of the environmental acquisition link, and the control start time and control end time of the building automation control link. Through this structured arrangement of times, the operation behaviors of different links can form a complete mapping in the time dimension, providing a continuous, uniform and relevant time basis for subsequent item-by-item comparison.

[0064] After the time axis mapping is established, perform item-by-item corresponding matching on the operation times of the environmental acquisition link and the building automation control link. By reading each point of the time sequence, associate the refresh end time of each environmental acquisition behavior with the control start time of the corresponding building automation control behavior, thus forming a one-to-one corresponding time pair. For different types of acquisition parameters, such as temperature acquisition, humidity acquisition, light acquisition, and air quality acquisition, perform time pairing according to their corresponding automation actions, such as temperature acquisition and air-conditioning control, light acquisition and lighting control, and air quality acquisition and self-cleaning control. Through this item-by-item pairing, each pair of acquisition behavior and control behavior can form an interrelated time segment, and each time segment contains two key time points: the time when the acquisition data is generated and the time when the control is executed. The pairing result established in this way not only has time continuity but can also truly reflect the delay relationship between the transmission of acquisition information and the execution of control, laying a data correspondence foundation for the extraction of time differences.

[0065] After completing the item-by-item pairing, the time relationship between each running node is analyzed to extract delay and advance features. Using the data acquisition and refresh end time as a reference, the time difference between this time and the corresponding control start time is calculated, and the delay or advance status is determined based on the direction of the difference. When the control start time is later than the data acquisition end time, it is defined as a delay point; when the control start time is earlier than the data acquisition end time, it is defined as an advance point. In this way, all delay and advance points can be identified one by one along the entire timeline. To make the identification results more complete, the time difference value between each pair of running times is quantitatively recorded during the time difference extraction process, and the time difference value is associated with the node type, running frequency, and the time period. This refined extraction method forms a set containing a large amount of time difference data, including both the duration of delay phenomena and the frequency of advance phenomena, thus providing sufficient time feature information for the subsequent generation of a time difference distribution map. In this process, the running time sequence established in the previous stage is fully utilized. By comparing the time order of adjacent nodes, a structural transformation from a timeline to a time difference is achieved, quantifying and systematically expressing the time sequence offset between data acquisition and automatic control.

[0066] After extracting the delay and advance points, a time distribution map is constructed for all time difference data to generate a time difference distribution map reflecting the time differences between each running node. This map uses the time difference value as the vertical axis and the running time as the horizontal axis, arranging all delay and advance points in chronological order and distinguishing the two types of time offset phenomena with different markers. During the drawing process, each running node is represented by an independent time marker point; its vertical position represents the corresponding time difference value, and its horizontal position represents the actual running time of that node in the entire time series. In this way, the time difference distribution map forms a continuous time difference curve. The curve reflects the time progress of the operation horizontally and the magnitude of delay and advance vertically. When delay points are densely distributed, the curve forms a continuous segment in the positive direction, indicating a lagging control response; when the number of advance points increases, the curve forms a branching segment in the negative direction, indicating a leading control response. To ensure the time difference distribution map has complete time coverage, two reference lines—the acquisition refresh cycle and the control response beat—are introduced during the construction process to compare and display the time offset distribution characteristics under different rhythms. Through this comprehensive plotting, the time difference distribution map can simultaneously reflect the correspondence, offset trends, and rhythm differences between the acquisition and control behaviors on the time axis in a single graphic, providing an intuitive, systematic, and continuously updated time comparison basis for rhythm anomaly analysis.

[0067] By analyzing the time difference distribution map, the sources of time delay for each running node are tracked, the rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs is identified, and a mismatch detail table containing the sources of delay and influencing parameters is generated to guide rhythm correction.

[0068] After obtaining the time difference distribution map, in order to further determine the specific sources of delays in the operation nodes, and to systematically organize the causes of various time offsets and their corresponding influencing parameters to form a mismatch detail table for rhythm correction, the specific implementation steps are as follows:

[0069] In the time difference distribution map, all delay points and advance points are centrally organized, and the time difference distribution curve is divided into continuous segments according to time periods. Each continuous segment corresponds to the rhythmic characteristics of a specific operational phase. Segments with dense delay points typically reflect situations where collected information fails to be transmitted to the control end in a timely manner, while segments with clustered advance points indicate that the control response is executed prematurely without waiting for the collected results. During the organization process, the operational node number, occurrence time, duration, and associated link type corresponding to each delay point and advance point are extracted. All time offset information is summarized into a node operation table, which simultaneously records the curve fluctuation trend and node occurrence frequency in the time difference distribution map. Through this process, the continuous changes in the time difference distribution map are transformed into structured time-series data, providing a quantifiable basis for subsequent delay source tracing.

[0070] Based on the completed node operation table, the sources of delay are traced and analyzed for each delay and advance segment. Using the delay magnitude in the time difference distribution map as a reference, the acquisition and control links corresponding to the delay segments are matched one by one, and the root cause of the time offset is traced back along the time difference direction. For areas where delay points are concentrated, the refresh interval of the environmental acquisition link is first analyzed. When the refresh cycle is extended, it is determined to be due to data acquisition and uploading lag. When the acquisition refresh cycle remains stable but the delay persists, the transmission status of the acquired data in the transmission link is further analyzed. If there is a trend of the time difference increasing with the increase of the transmission path, it is determined to be data transmission congestion. For some delay segments where the acquisition data is normal but the control action is delayed, it can be attributed to the response lag caused by too many control commands accumulating in the execution queue. In this stage, the cause of delay for each running node is matched with its corresponding acquisition type, control type, and time difference magnitude, transforming the abstract offset relationship in the time difference distribution map into a delay category with a specific source. In this way, the sources of time delay are subdivided into three main types: data acquisition and uploading lag, data transmission blockage, and control command backlog, providing a basic classification for subsequent quantitative analysis.

[0071] After identifying the sources of delay, the specific impact range and associated parameters of each type of delay were extracted and summarized. For data acquisition and upload lag, the type of acquisition stage causing the delay, the magnitude of the refresh cycle change, and the duration of the upload interval change were recorded. For data transmission congestion, the transmission path, number of data packets, and path node delays were recorded. For control command backlog, the length of the control command queue, execution order, and duration of the delay were recorded. To ensure the comparability of this information, each type of delay was sorted according to the horizontal time scale of the time difference distribution map during processing, so that delays from different sources formed a continuous distribution within a unified time frame. Simultaneously, the time difference value of each running node was associated with its corresponding delay type, and the contribution of that node to the overall rhythm mismatch was identified in a table. Through this process, the time offset features in the time difference distribution map were expanded into a multidimensional dataset containing sources, durations, and impact parameters, thus more clearly reflecting the structural characteristics of rhythm mismatch.

[0072] After the sources of delay and their impact parameters are compiled, a mismatch detail table for rhythm correction is generated. This table uses the time axis as the vertical index and the running node number as the horizontal index, arranging the three types of delay in chronological order of occurrence. Each record includes the time difference, delay type, related links, duration, scope of impact, and corresponding parameters. Delay types are identified with different colors or symbols, forming a clear classification. In the detail table, data acquisition upload lag reflects the rhythm offset characteristics at the acquisition level, data transmission congestion reflects the time accumulation characteristics in the communication link, and control command backlog reflects the response imbalance characteristics at the execution level. In this way, the discrete delay and advance information in the time difference distribution map is integrated into a systematic time mismatch record, making the causes, scope, and duration of rhythm mismatch readily apparent. This mismatch detail table can serve as a direct basis for rhythm correction in subsequent steps, providing clear data references for adjusting refresh rhythm and optimizing execution order by comparing the distribution characteristics and impact parameters of delays from different sources.

[0073] Based on the results of the mismatch details table, the refresh rhythm and execution order of the environmental data acquisition and building automation control links are reset, the flexible update time, response priority and rhythm buffer are determined, and a synchronous adjustment draft for coordinated control is formed.

[0074] After obtaining the mismatch details, to re-coordinate the operation of the environmental data acquisition and building automation processes, a comprehensive adjustment was made to the previously identified sources of delay and influencing parameters. This included constructing a synchronized adjustment draft addressing aspects such as refresh rate, execution order, update time, and buffer zones. The specific implementation steps are as follows:

[0075] Based on the distribution characteristics of various delay sources in the mismatch details table, the operational rhythm of the environmental data acquisition and building automation processes is comprehensively analyzed. By analyzing the time difference, delay duration, and associated process types in the mismatch details table, the frequency and time span of each type of delay phenomenon are extracted, and three types of delays—data acquisition upload lag, data transmission congestion, and control command backlog—are distinguished and categorized. For the environmental data acquisition process, the focus is on analyzing the changing patterns of data acquisition refresh intervals at different times and the temporal overlap of acquisition tasks; for the building automation process, the relationship between the triggering order and execution time of control commands is analyzed. Based on this, the key nodes affecting rhythm synchronization are identified, namely the time ranges of the delayed and premature concentrated areas. In this way, it can be clarified which acquisition process refresh cycles need to be adjusted and which control process execution sequences need to be rearranged, thus providing a directional basis for subsequent rhythm reconstruction. The operation at this stage is essentially a structured extraction of the results from the mismatch details table, transforming delay characteristics from static records into adjustable time parameters.

[0076] After clarifying the scope of adjustments needed, the refresh rhythm of the environmental data acquisition stage was reset. Based on the correspondence between the refresh cycle and delay magnitude of each acquisition stage recorded in the mismatch details table, the range for frequency adjustment was first determined. For stages with data acquisition and upload lag, the refresh cycle was appropriately shortened to reduce data backlog, and the acquisition start time was adjusted to ensure continuous connection with the corresponding control execution period. For acquisition stages that appeared to be in an advanced state in the mismatch details table, the refresh interval was appropriately extended to make acquisition and control triggering more synchronized. Simultaneously, to avoid interference caused by multiple acquisition tasks starting simultaneously within the same time period, the time nodes of different acquisition tasks were adjusted using a staggered approach to make the refresh behavior more evenly distributed on the time axis. During the adjustment process, the matching relationship between the acquisition frequency and data transmission capacity was maintained to ensure that the adjusted refresh rhythm could both cover the real-time changes in environmental parameters and remain relatively consistent with the response rhythm of the control end. Through this cycle reset based on the mismatch details table, the refresh rhythm of the environmental data acquisition stage was redefined as a dynamic time structure with flexible adjustment characteristics, providing a matching basis for subsequent control execution sequence optimization.

[0077] Based on the reset of the environmental data acquisition rhythm, the execution sequence and response priority of the building automation system were rearranged. Combining the control command backlog reflected in the mismatch details table, different types of control tasks were prioritized according to response urgency, execution duration, and dependence on environmental parameters. Control actions closely related to real-time environmental parameters, such as temperature, illumination, and air quality control, were prioritized as high-priority tasks; tasks with weaker dependence or less sensitivity to short-term delays, such as self-cleaning, auxiliary lighting, and airflow balancing, were classified as low-priority tasks to reduce response congestion. During the arrangement process, the start time of high-priority tasks was ensured to match the upload time of environmental data acquisition, allowing control actions to be executed based on the latest data. For delays caused by control command backlog, buffer intervals were set in the time series to prevent multiple control commands from stacking within the same time window. This resulted in a clear hierarchy and non-interfering execution sequence in the building automation system. To further improve the stability of the execution rhythm, some low-priority tasks were shifted from high-load periods to off-peak periods, achieving a balanced overall control rhythm. After this phase, the redefined refresh rhythm of the environmental data collection process and the optimized response sequence of the building automation process have achieved initial alignment in time, laying the foundation for the comprehensive formulation of subsequent synchronous drafts.

[0078] After resetting the refresh rhythm and execution order, the elastic update time, response priority, and rhythm buffer are determined based on the aforementioned results, thus forming a synchronization adjustment draft. The elastic update time is set according to the duration of each delay type in the mismatch details table, used to flexibly adjust the refresh time during periods of significant fluctuation in acquired data, ensuring the system maintains variability in its time rhythm under different operating states. The response priority is configured based on the reordered control task hierarchy, ensuring high-priority tasks obtain the shortest response path in time, thereby shortening the delay accumulation chain. The rhythm buffer is used to establish a safe time difference between acquisition and control, absorbing sudden delay fluctuations in the short term and preventing the time difference from further amplifying during continuous operation. The length of the buffer is set based on the fluctuation amplitude in the previous time difference distribution map, allowing time offsets to self-resolve within an allowable range. When the synchronization adjustment draft is formed, the refresh rhythm, execution order, elastic update time, response priority, and buffer are all incorporated into the same time frame, presented through a time linear calibration method, allowing the time relationships between different stages to be directly invoked and updated. In this way, the operational rhythm of the environmental data acquisition and building automation processes can be reconstructed as a whole, and the refresh and response form a closed loop in time, which has the ability to adapt and maintain a stable rhythm.

[0079] Coordinated control is implemented according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase of operation, reverse instruction writing, intermittent sampling pause and time drift capture strategies are executed. By reorganizing the timing of the collected data and control instructions, the environmental acquisition link and the building automation link maintain the same rhythm during operation, so as to achieve real-time synchronization and stable operation of data feedback and execution actions.

[0080] After finalizing the draft of the synchronization adjustment, to ensure unified rhythm and stable data action between the environmental data acquisition and building automation systems during actual operation, the acquisition and control processes were coordinated and controlled according to the rhythm parameters in the draft. Particularly during periods of operational anomalies, the coordinated execution of three strategies—reverse command write-back, intermittent sampling pause, and time drift capture—was employed to guarantee the continuity and rhythm stability of system operation. The specific implementation steps are as follows:

[0081] Based on the rhythm parameters set in the draft synchronization adjustment, the operational status of the environmental data acquisition and building automation (BAS) processes is initialized and synchronized. In this stage, the refresh rhythm, response priority, elastic update time, and rhythm buffer defined in the draft are loaded one by one into the operational flow, establishing a direct correspondence between the refresh start time of the environmental data acquisition process and the control execution time of the BAS process on the same timeline. This establishes a preliminary time-series mapping between data generation in the environmental data acquisition process and the execution actions in the BAS process. Subsequently, based on the dynamic characteristics of the operational scenario, the rhythm parameters are divided into two modes: a normal operating range and a sudden change operating range. In the normal operating range, data acquisition and control continue to operate according to the preset rhythm; in the sudden change operating range, a rhythmic coordination mechanism is activated to compensate for sudden delays or advances in real time. Through this pre-partitioning and parameter loading method, the environmental data acquisition and BAS processes can establish a synchronization foundation at the beginning, providing a time reference for subsequent rhythm coordination.

[0082] During the transition from normal operation to abrupt changeover, a reverse instruction write-back strategy is implemented. This strategy, based on the flexible update time and rhythm buffer defined in the synchronization adjustment draft, corrects the order of control instructions by backtracking when a runtime sequence offset is detected. Specifically, when the data refresh delay in the environmental acquisition stage exceeds the flexible update time, the control instructions in the building automation stage are not executed immediately. Instead, the execution result of the previous instruction is temporarily stored, and the original control action is written back after the new acquired data is uploaded. The reverse write-back execution is based on the timeline, readjusting the control state during the delay phase to the time point corresponding to the acquired data, thereby realigning the control action with the data feedback. In this process, the flexible update time acts as a time buffer, ensuring that the reverse write-back does not interfere with ongoing control instructions. Through this strategy, the acquisition delay during operation can be dynamically absorbed, the execution order of control responses can be rematched with the data feedback, avoiding the accumulation of execution errors caused by delay information, and ensuring that the system maintains timing consistency during abrupt changeover periods.

[0083] After the reverse command write-back is completed, an intermittent sampling pause strategy is implemented to prevent sudden data fluctuations from continuously affecting the acquisition rhythm. This strategy is based on the rhythm buffer interval in the synchronization adjustment draft. When the acquisition frequency changes abnormally or the delay continues to increase, a portion of the refresh task in the environmental acquisition stage is briefly paused, allowing the refresh rhythm of the acquisition stage to re-align with the response rhythm of the building automation stage. The length of the pause period is set according to the time scale of the buffer interval to ensure that acquisition and control re-enter rhythm balance upon resumption of operation. During the pause, the building automation stage maintains the last effective control state and gradually adjusts the output according to the buffer time, keeping the operating rhythm of the control end stable during the acquisition pause. When acquisition resumes, the timestamp of the acquired data is re-paired with the execution time of the control command, achieving rhythm synchronization restoration. Intermittent sampling pause effectively avoids the continuous delay propagation caused by short-term data fluctuations or communication congestion, ensuring the continuous controllability and stability of rhythm synchronization in dynamic environments. Simultaneously, this strategy provides the system with temporary rhythm correction space without changing the overall refresh frequency, thus ensuring the seamless connection between data acquisition and control execution.

[0084] After the reverse instruction write-back and intermittent sampling pause are completed, a time drift capture strategy is executed to achieve dynamic self-correction and balancing of the runtime sequence. This strategy, based on the response priority and elastic update time in the synchronous adjustment draft, identifies the drift direction and rate on the time axis when time difference fluctuations are detected in multiple consecutive operating nodes. When the refresh rate of the environmental acquisition stage is detected to be consistently slow, the acquisition trigger time of the next cycle is automatically advanced; when the response of the building automation stage is detected to be consistently ahead, the control start time of the next round is automatically delayed. Through this time drift capture and adjustment, the rhythm deviation between environmental acquisition and building automation is gradually absorbed, allowing the operating states of the two stages to re-converge on the same timeline. Furthermore, during the time drift capture process, the relative interval between the acquisition recovery time and the control start time is dynamically corrected based on the results of the previous intermittent sampling pause, making drift correction continuous and predictable. In this way, the system possesses adaptive time synchronization capabilities during long-term operation, ensuring that the rhythms of acquisition and control remain coordinated even after multiple abrupt changes.

[0085] This invention addresses the issue of misalignment caused by data acquisition lag and control advance by streamlining, comparing, and synchronously reconstructing the operational rhythms of environmental data acquisition and building automation. This ensures dynamic matching between the data acquisition refresh cycle and control execution rhythm within a unified timeframe. By establishing frequency and time difference distribution maps, a temporal mapping relationship between data acquisition and control is formed, enabling control actions to respond based on the latest data. This reduces energy waste and control fluctuations, resulting in a smoother operational rhythm for the area and achieving dynamic self-coordination and precise response of the building environment.

[0086] This invention generates a mismatch detail table and formulates a synchronization adjustment draft based on it, determining the elastic update time, response priority, and rhythm buffer, thereby achieving rhythm self-correction and adaptive coordination during abrupt changes in operation. Through reverse instruction write-back, intermittent sampling pause, and time drift capture strategies, a closed-loop time reconfiguration mechanism for acquisition and control is constructed, enabling the system to automatically adjust and stably synchronize under complex operating conditions. This improves environmental comfort and energy efficiency, extends equipment lifespan, and ensures the intelligent operation quality of urban renewal areas.

[0087] This invention provides, for example Figure 2 The urban renewal area functional positioning optimization system shown includes a rhythm analysis module, a time difference modeling module, a delay diagnosis module, a synchronization adjustment module, and a rhythm coordination module.

[0088] The rhythm analysis module analyzes the operational rhythm of the environmental data collection and building automation processes within the urban renewal area, determines the data refresh cycle of the environmental data collection process and the response rhythm of the building automation process, and establishes a frequency distribution map containing various operational frequency parameters for subsequent rhythm comparison.

[0089] The time difference modeling module, after completing the frequency distribution map, compares the operation times of the environmental acquisition stage with those of the building automation stage item by item, extracts the delay points and advance points of each operation node, and generates a time difference distribution map that reflects the relationship of time differences, providing a time reference for rhythm anomaly analysis.

[0090] The delay diagnosis module analyzes the time difference distribution map to track the sources of time delay for each running node, identifies rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs, and generates a mismatch detail table containing delay sources and influencing parameters to guide rhythm correction.

[0091] The synchronization adjustment module, based on the results of the mismatch details table, resets the refresh rhythm and execution order of the environmental acquisition and building automation links, determines the flexible update time, response priority, and rhythm buffer, and forms a synchronization adjustment draft for coordinated control.

[0092] The rhythm coordination module implements coordinated control according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase of operation, it executes reverse instruction write-back, intermittent sampling pause and time drift capture strategies. By reorganizing the timing of the collected data and control instructions, it ensures that the environmental acquisition link and the building automation link maintain a consistent rhythm during operation, and achieves real-time synchronization and stable operation of data feedback and execution actions.

[0093] The present invention provides a method for optimizing the functional positioning of urban renewal areas, which is implemented through the aforementioned system for optimizing the functional positioning of urban renewal areas. For details of the specific methods and processes of the system for optimizing the functional positioning of urban renewal areas, please refer to the embodiment of the above-mentioned method for optimizing the functional positioning of urban renewal areas, which will not be repeated here.

[0094] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the functional positioning of urban renewal areas, characterized in that, Includes the following steps: The operational rhythm of environmental data collection and building automation in urban renewal areas was analyzed, and the data refresh cycle of environmental data collection and the response rhythm of building automation were determined to establish a frequency distribution map. After the frequency distribution map is established, the operation times of the environmental acquisition stage and the building automation stage are compared item by item to extract the delay points and advance points of each operation node and generate a time difference distribution map. By analyzing the time difference distribution map, we can track the sources of time delay for each running node, identify the rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs, and generate a mismatch detail table. Based on the results of the mismatch details table, the refresh rhythm and execution order of the environmental data acquisition and building automation processes were reset, and the flexible update time, response priority, and rhythm buffer were determined to form a synchronous adjustment draft. Coordinated control is implemented according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase, reverse instruction write-back, intermittent sampling pause and time drift capture strategies are executed to reassemble the timing of the collected data and control instructions.

2. The method for optimizing the functional positioning of urban renewal areas according to claim 1, characterized in that, The steps for creating a frequency distribution map are as follows: The operational objects within the urban renewal area are classified and identified, and the environmental data collection and building automation control processes are included in the monitoring scope, with their respective operational parameters recorded. After completing the recording of operating parameters, the time series of the environmental data acquisition and building automation control are organized, and the data acquisition time points and control execution time points are aligned on a unified time axis to form a corresponding relationship. After completing the time correspondence, frequency features are extracted from the refresh cycle and response time of each operation stage to generate a dataset containing continuous time-frequency mapping. After extracting the frequency data, a frequency distribution map is created with time as the horizontal axis and operating frequency as the vertical axis. The frequency curves of the environmental acquisition stage and the building automation stage are presented in the same graph to show the synchronous, differential, and overlapping sections of the two.

3. The method for optimizing the functional positioning of urban renewal areas according to claim 2, characterized in that, In the process of establishing the frequency distribution map, the refresh curve of the environmental acquisition link and the response curve of the building automation link are plotted synchronously according to the time series, and the frequency parameters are used as the calibration benchmark to form a reference curve by continuously connecting them through the time axis.

4. The method for optimizing the functional positioning of urban renewal areas according to claim 2, characterized in that, The steps to generate a time difference distribution map are as follows: Based on the frequency distribution map, the refresh cycle of the environmental acquisition link and the response time of the building automation link are processed by time sequence expansion, and the running nodes are arranged in time order to form a continuous running time sequence. After the sequence of running times is formed, the refresh end time of the environmental data acquisition behavior and the control start time of the building automatic control behavior are matched one by one to generate time segments containing time pairing relationships. After completing the time pairing, the time difference is extracted with the end time of data collection and refresh as a reference, and the delay point and advance point are identified. The time difference is then associated with the node type and running frequency. After the time difference is extracted, a time difference distribution map is constructed with the time difference as the vertical axis and the running time as the horizontal axis, so that the delay point and the advance point form a comparison curve on the same time axis.

5. The method for optimizing the functional positioning of urban renewal areas according to claim 4, characterized in that, When constructing the time difference distribution map, the refresh cycle curve of the environmental acquisition link and the response beat curve of the building automation link are plotted on the same time coordinate. Different markers are used to distinguish the delay point and the advance point, so that the time difference curve reflects the delay and advance magnitude vertically and the running time process horizontally.

6. The method for optimizing the functional positioning of urban renewal areas according to claim 4, characterized in that, The steps to generate the mismatch details table are as follows: The delayed points and advanced points are centrally organized in the time difference distribution map, the time difference distribution curve is divided into continuous segments, and the number, occurrence time, duration and related link type of each running node are extracted to form a node operation table. Based on the node operation table, and with the delay magnitude of the time difference distribution map as a reference, the sources of delay in the environmental data acquisition and building automation processes are analyzed one by one, and three types of time offset are identified: data acquisition and uploading lag, data transmission blockage, and control command backlog. After identifying the sources of delay, the impact range and associated parameters of each type of delay are extracted and uniformly sorted according to the horizontal time scale of the time difference distribution map. After the sources of delay and the parameters affecting them are compiled, a mismatch details table is created, recording the delay type, time difference, duration, and related parameters in the table.

7. The method for optimizing the functional positioning of urban renewal areas according to claim 6, characterized in that, The steps for simultaneously adjusting the draft are as follows: Based on the distribution characteristics of various delay sources in the mismatch details table, the operation rhythm of the environmental data acquisition and building automation processes is analyzed as a whole. The time difference, delay duration and related process types are extracted to determine the time range of the delay concentration area and the advance concentration area. Within the defined adjustment range, the refresh cycle of the environmental data collection process is reset according to the delay range, the data collection start time is adjusted, and the time distribution is balanced through staggered peak times, so that the refresh rhythm has flexible adjustment characteristics. After the environmental data collection rhythm is adjusted, the execution order of the building automation process is rearranged, and priorities are determined and time buffer intervals are set based on the urgency and dependence of the response. After setting the refresh rhythm and execution order, determine the flexible update time, response priority, and rhythm buffer, and form a synchronous adjustment draft for coordination and control.

8. The method for optimizing the functional positioning of urban renewal areas according to claim 7, characterized in that, The elastic update time is dynamically adjusted based on the duration of the delay type, the response priority is determined according to the real-time dependence of the control task on environmental parameters, and the rhythm buffer is set according to the fluctuation amplitude in the time difference distribution map, so that the environmental acquisition link and the building automation link form an adaptive time rhythm coordination mechanism during operation.

9. The method for optimizing the functional positioning of urban renewal areas according to claim 7, characterized in that, Coordinated control is implemented according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase, three strategies are executed: reverse instruction write-back, intermittent sampling pause, and time drift capture. The timing reordering steps for the acquired data and control commands are as follows: Based on the rhythm parameters in the synchronous adjustment draft, the operation status of the environmental data acquisition and building automation control links is initialized and synchronized, and the refresh rhythm, response priority, elastic update time and rhythm buffer are loaded into the operation process; During the transition from normal operation to sudden change operation, reverse instruction write-back is performed based on the elastic update time and rhythm buffer. The effective order of control instructions is corrected by time backtracking, so that control actions and data feedback are re-aligned. After the reverse instruction is written back, intermittent sampling pauses are performed according to the rhythm buffer to briefly pause part of the refresh task in order to restore the rhythm balance between acquisition and control. After the intermittent sampling pause is completed, time drift capture is performed according to the response priority and elastic update time. Dynamic synchronization of acquisition and control is achieved through time drift identification and correction.

10. A functional positioning optimization system for urban renewal areas, used to implement the functional positioning optimization method for urban renewal areas as described in any one of claims 1-9, characterized in that, It includes a rhythm analysis module, a time difference modeling module, a delay diagnosis module, a synchronization adjustment module, and a rhythm coordination module: The rhythm analysis module analyzes the operational rhythm of environmental data collection and building automation in the urban renewal area, determines the data refresh cycle of the environmental data collection and the response rhythm of the building automation, and establishes a frequency distribution map. The time difference modeling module, after completing the frequency distribution map, compares the operation times of the environmental acquisition stage with those of the building automation stage item by item, extracts the delay points and advance points of each operation node, and generates a time difference distribution map. The delay diagnosis module analyzes the time difference distribution map to track the sources of time delay for each running node, identifies rhythm mismatch caused by data acquisition and upload delays, data transmission blockages, and control command backlogs, and generates a mismatch detail table. The synchronization adjustment module, based on the results of the mismatch details table, resets the refresh rhythm and execution order of the environmental data acquisition and building automation control links, determines the flexible update time, response priority, and rhythm buffer, and forms a synchronization adjustment draft. The rhythm coordination module implements coordinated control according to the rhythm parameters of the synchronous adjustment draft. During the sudden change phase, it executes reverse instruction write-back, intermittent sampling pause and time drift capture strategies, and reassembles the timing of the collected data and control instructions.

Images