A regional integrated energy hierarchical optimization control method based on a carbon trading mechanism

Abstract

The application discloses a regional comprehensive energy hierarchical optimization control method based on a carbon transaction mechanism and relates to the technical field of regional comprehensive energy optimization control. The method comprises the following steps: obtaining aeration working condition data and heat source working condition data of a target object; sequentially aligning the aeration working condition data and the heat source working condition data according to the same control period and settlement period, generating carbon debt allocation data, and corresponding the carbon debt allocation data with the aeration working condition data according to the sequence of the control period to generate non-absorbed position data. The scheme writes the non-absorbed position data into the current position data according to the carbon debt allocation data and generates a position correspondence relationship, so that the non-absorbed position and the heat source receiving position in the current control period form a clear correspondence, and the current receivable range is obtained; and the current position data is used to judge the completeness of the non-absorbed position data, so that the heat source side can distinguish the completed receiving part from the part to be continuously received.

Description

Technical Field

[0001] This invention relates to the field of regional integrated energy optimization and control technology, specifically a regional integrated energy hierarchical optimization and control method based on a carbon trading mechanism. Background Technology

[0002] As dual carbon constraints continue to strengthen, regional integrated energy systems are gradually shifting from single energy supply control to integrated control oriented towards multi-energy coupling, carbon emission coordination, and hierarchical scheduling. Especially in the scenario of wastewater regeneration combined plants, the plant area usually includes wastewater treatment units, reclaimed water reuse units, sludge treatment units, and heat source utilization units composed of biogas, steam, or hot water. The aeration process, heat source supply process, and sludge drying process are coupled in time, constrained in energy, and affected in carbon emission settlement.

[0003] In existing technologies, regional integrated energy control for wastewater recycling plants typically involves first collecting data on the operating conditions of the aeration system and the heat source system, and then scheduling and controlling functions such as blower aeration, biogas power generation, or heat source allocation. Simultaneously, carbon constraints are introduced into the scheduling objectives to balance carbon emission constraints with conventional energy consumption optimization. The advantages of this approach are that it can achieve a certain degree of linkage between aeration units, heat source units, and sludge drying units. Furthermore, by introducing carbon costs, the system's operating results can also exhibit a certain carbon constraint response capability beyond energy consumption, thus providing a good foundation for engineering applications. However, the upstream carbon constraint information in these solutions usually remains at the result level and is difficult to transmit downstream heat source destination determination, leading to a disconnect between heat source allocation criteria and prior constraint states. Moreover, since this type of allocation is still primarily based on real-time allocation within the current cycle, the resulting destination arrangements are difficult to seamlessly integrate into the execution paths of other units in subsequent cycles, making it easy for the control link between consecutive cycles to be interrupted, ultimately resulting in a non-closed control link. Summary of the Invention

[0004] The purpose of this invention is to provide a regional integrated energy stratified optimization control method based on a carbon trading mechanism to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, this invention discloses a regional integrated energy stratified optimization control method based on a carbon trading mechanism, applied to the stratified regulation of carbon trading in a wastewater recycling plant, comprising the following steps:

[0007] Acquire aeration and heat source data of the target object;

[0008] The aeration condition data and the heat source condition data are aligned sequentially according to the same control cycle and settlement cycle to generate carbon debt allocation data. The carbon debt allocation data is then matched with the aeration condition data according to the order of the control cycle to generate unabsorbed location data.

[0009] Based on the carbon debt allocation data, the unabsorbed location data is written into the current location data one by one within the current control cycle to generate a location correspondence. The coverage integrity of the unabsorbed location data is judged based on the current location data. If the integrity is correct, the location correspondence is output as heat source branch data.

[0010] Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data;

[0011] The current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data;

[0012] The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data;

[0013] The heat source branching data and the carbon debt allocation data are assigned and written to generate hierarchical control results.

[0014] Secondly, this invention discloses a regional integrated energy hierarchical optimization control system based on a carbon trading mechanism, comprising:

[0015] The data acquisition module is used to acquire aeration condition data and heat source condition data of the target object;

[0016] The location mapping module is used to align the aeration condition data and the heat source condition data in the same order according to the same control cycle and settlement cycle to generate carbon debt allocation data, and to map the carbon debt allocation data to the aeration condition data in the order of the control cycle to generate unabsorbed location data.

[0017] The heat source branch output module is used to write the unabsorbed location data one by one into the current location data in the current control cycle according to the carbon debt allocation data, generate the location correspondence, and perform a coverage integrity judgment on the unabsorbed location data according to the current location data. If the integrity is determined, the location correspondence is output as the heat source branch data.

[0018] Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data;

[0019] The current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data;

[0020] The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data;

[0021] The hierarchical control output module is used to assign and write the heat source branch data and the carbon debt allocation data to generate hierarchical control results.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0023] 1. This scheme prioritizes writing the data of unabsorbed locations into the current location data based on carbon debt allocation data and generates a location correspondence, so that the unabsorbed locations and heat source receiving locations within the current control cycle are clearly correlated, thus obtaining the current receiving range; then, the current location data is used to determine the coverage integrity of the unabsorbed location data, so that the heat source side can distinguish between the completed receiving part and the part to be received; when the coverage is incomplete, the remaining unabsorbed location data is continued to be written into the subsequent location data and merged with the location correspondence, so that the unabsorbed locations have a continuous receiving path in subsequent control cycles, thereby giving the heat source distribution data a complete periodic receiving relationship.

[0024] 2. This scheme generates carbon debt occupancy data by aligning carbon debt allocation data with operating conditions and writing it into the corresponding control cycle position of the aeration operating condition data. This enables a one-to-one correspondence between carbon debt occupancy and aeration operating conditions in the control cycle dimension, thereby improving the temporal consistency of subsequent position identification. Classifying the carbon debt occupancy data by position and generating oxygen supply positions at compression points clarifies the actual oxygen supply occupancy range within the control cycle, thus improving the boundary clarity of unabsorbed position determination. Extracting unabsorbed positions from the carbon debt occupancy data based on the oxygen supply positions at compression points and generating unabsorbed position data accurately separates the portion of carbon debt not absorbed by the current oxygen supply position, thus providing a clear data foundation for subsequent position shifting and tiered control. Attached Figure Description

[0025] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts. Wherein:

[0026] Figure 1 A flowchart illustrating the steps of a regional integrated energy stratification optimization control method based on a carbon trading mechanism provided by this invention;

[0027] Figure 2 This is a schematic diagram of the process for generating carbon debt allocation data provided by the present invention;

[0028] Figure 3 A schematic diagram of the process for generating aeration constraint data provided by the present invention;

[0029] Figure 4 This is a schematic diagram of the process for generating heat source branch data provided by the present invention;

[0030] Figure 5 This invention provides a schematic diagram of the module functions of a regional integrated energy hierarchical optimization control system based on a carbon trading mechanism. Detailed Implementation

[0031] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0032] Application Overview:

[0033] In the integrated regional energy control of wastewater reclamation plants, while existing treatment methods incorporate the operating conditions of aeration systems, heat source systems, and carbon constraints into scheduling considerations, the carbon constraint information is primarily used at the result stage and fails to be further transmitted down the treatment chain to the heat source destination determination stage. This results in a lack of continuous correspondence between the status information used for heat source allocation and the preceding carbon constraint status. Simultaneously, existing scheduling mainly focuses on real-time allocation within the current cycle, with insufficient consideration for the connection between the execution paths of other units in subsequent cycles. Consequently, the destination arrangements formed in the current cycle are difficult to maintain a smooth connection with subsequent cycles. Therefore, in the case of wastewater reclamation plants, existing technologies exhibit shortcomings such as the difficulty in transmitting preceding constraint status to subsequent heat source allocation, a lack of continuity between cycles, and a control chain that is prone to interruption and difficult to close.

[0034] Taking the continuous operation scenario of a sludge treatment unit in a wastewater regeneration plant relying on a heat source utilization unit for heat supply as an example, under the unified settlement arrangement of the plant, the aeration process has already formed the corresponding carbon constraint results, and the heat source supply process is also in a continuous operation state. However, in actual scheduling, heat source allocation is often still handled separately according to the immediate demand within the current cycle. At this time, although the heat source destination arrangement formed within the current cycle can correspond to the task of the current period, when the sludge drying process needs to be executed across cycles, the carbon constraint status of the previous cycle is difficult to continue to be reflected in the heat source destination determination of the next cycle. The next cycle needs to form a new arrangement, resulting in unstable connection between the execution paths of adjacent cycles, jumps in arrangements, or disconnection of the relationship between the preceding and following cycles. The problem is specifically exposed at the connection position between heat source allocation and the execution of subsequent cycles.

[0035] If the aforementioned problems persist, the relevant control and processing procedures will first experience a break in the constraint transmission stage, preventing the previously formed carbon constraint state from being stably incorporated into the subsequent heat source allocation basis. This leads to a disconnect between the heat source destination formation mechanism and the results of previous treatments. Furthermore, the lack of continuous connection between the current cycle and subsequent cycles will cause inconsistencies in the result formation process across cycles, manifesting as the inability of the previous cycle's arrangements to naturally continue into the next, resulting in abnormal cycle connections in the processing chain. This abnormality, further propagated, will affect the synergy between the aeration process, heat source supply process, and sludge drying process within the wastewater reuse plant, making it difficult for subsequent scheduling and execution to rely on the same continuous control chain. Ultimately, this results in a lack of control closure, and related treatment results are difficult to maintain consistent correspondence within a continuous cycle.

[0036] After introducing the basic concept of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0037] Example 1:

[0038] Please see Figure 1 A regional integrated energy stratified optimization control method based on carbon trading mechanism, applied to the stratified regulation of carbon trading in wastewater regeneration plants, includes the following steps:

[0039] Acquire aeration and heat source data of the target object;

[0040] The aeration condition data and heat source condition data are aligned sequentially according to the same control cycle and settlement cycle to generate carbon debt allocation data. The carbon debt allocation data is then matched with the aeration condition data according to the order of the control cycle to generate unabsorbed location data.

[0041] Based on the carbon debt allocation data, the data of unabsorbed locations are written into the current location data one by one within the current control cycle to generate the location correspondence. The coverage integrity of the unabsorbed location data is judged based on the current location data. If it is correct, the location correspondence is output as the heat source branch data.

[0042] Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data;

[0043] Among them, the current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data;

[0044] The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data;

[0045] The data on heat source distribution and carbon debt allocation are assigned and written to generate hierarchical control results.

[0046] Among them, aeration condition data refers to the set of raw operating data that can characterize aeration oxygen supply behavior and its corresponding energy consumption and carbon emission relationship;

[0047] Heat source operating data refers to the set of raw operating data used to characterize the operating status of the heat energy supply side in the wastewater treatment-reclaimed water combined plant under the control cycle and settlement cycle;

[0048] Carbon debt allocation data refers to data objects used to establish a carbon emission responsibility assignment relationship between the control cycle and the settlement cycle;

[0049] Unabsorbed location data refers to the set of location data that, after the carbon debt allocation data and aeration condition data have completed the location correspondence, have not been actually accepted by the carbon debt allocation data and are still in a state of pending acceptance, under the condition of alignment of the same control cycle and settlement cycle.

[0050] Current allocation data refers to the data object used to characterize the entire effective scope of carbon debt allocation relationships available for heat source side within the current control cycle;

[0051] Heat source routing data refers to data objects used to characterize the destination and connection relationships of heat sources within the current control cycle;

[0052] The delayed placement data refers to the unabsorbed position data that was not taken over by the current placement data within the same control cycle. Under the premise of maintaining its original cycle sequence, the data set that can be delayed is formed based on the subsequent control cycle occupancy relationship represented by the heat source operating condition data.

[0053] The hierarchical control result refers to the control execution data object formed by unifying the aeration side operation status, biogas side energy distribution status, and sludge drying side cross-cycle migration status under carbon trading constraints.

[0054] This solution establishes a foundation of original cyclical data for the wastewater reclamation plant in the aeration and heat source stages by acquiring aeration and heat source operating data. This provides a data prerequisite for establishing a unified processing relationship under the same control and settlement cycles. By aligning the aeration and heat source operating data sequentially according to the same control and settlement cycles to generate carbon debt allocation data, and further mapping the carbon debt allocation data to the aeration operating data, a carbon debt allocation relationship and unabsorbed location data organized according to the cyclical sequence are formed. This clearly defines the range of locations not absorbed in the current control cycle. Because the data on unabsorbed locations is written into the current location data based on the carbon debt allocation data and combined with the coverage integrity judgment, the current control cycle can form a location correspondence. When the coverage is complete, the heat source distribution data is directly limited. When the coverage is incomplete, the remaining unabsorbed location data is continued to be accepted by combining the subsequent location data, so that the heat source distribution data can cover the cycle occupancy relationship of the current control cycle and its subsequent control cycles. Because the heat source distribution data and carbon debt allocation data are finally assigned and written, the heat source distribution data is completed and converged according to the carbon debt allocation relationship, thus forming a hierarchical control result corresponding to the control cycle and settlement cycle.

[0055] The above describes a complete scheme for a regional integrated energy hierarchical optimization control method based on a carbon trading mechanism. The following section describes how to obtain aeration and heat source data for the target object, specifically including:

[0056] The aeration condition data of the target object is obtained through the aeration branch actuator; the aeration condition data includes but is not limited to the operating status of the aeration equipment, blower operation record, air supply adjustment record, aeration zone operation record, aeration sequence record, aeration load record, aeration continuity record, aeration switching record, and operating condition transfer record corresponding to the aeration process.

[0057] The heat source operating data of the target object is obtained through the sensors of the heat storage unit; the heat source operating data includes, but is not limited to, biogas utilization operation status, heating operation record, heat storage operation record, drying heating record, heat source switching record, heat source time sequence record, heat source load record, heat source continuous record, and operating condition acceptance record corresponding to the heat source acceptance process, etc.

[0058] The above describes how to obtain aeration and heat source operating data for the target object. The following describes how to align the aeration and heat source operating data according to the same control and settlement cycles to generate carbon debt allocation data. Please refer to [link / reference]. Figure 2 , Figure 2 This is a schematic diagram of the process for generating carbon debt allocation data provided in an embodiment of this application. Generating carbon debt allocation data specifically includes:

[0059] The aeration condition data and heat source condition data are matched according to the same control cycle and then arranged according to the settlement cycle to generate condition aligned data.

[0060] The working condition alignment data is continuously expanded according to the settlement cycle to generate carbon debt occupancy positions, and the carbon debt occupancy positions are arranged in order.

[0061] The carbon debt occupancy position between adjacent control cycles is judged for continuity integrity. If it is correct, the result of the previous and next arrangement is output as carbon debt allocation data.

[0062] Otherwise, the corresponding carbon debt occupancy position remains unchanged, and the subsequent carbon debt occupancy positions are rearranged according to the settlement cycle until the corresponding carbon debt occupancy position and the carbon debt occupancy position of the subsequent control cycle pass the continuity integrity judgment to generate carbon debt allocation data.

[0063] Among them, the operating condition alignment data refers to the structured corresponding data set used to characterize the synchronous connection relationship between aeration operating condition data and heat source operating condition data within the same control cycle, as well as the continuous arrangement relationship within the settlement cycle.

[0064] Carbon debt occupancy location refers to the unique positioning object formed by the correspondence between aeration condition data and heat source condition data under the unified control cycle and settlement cycle framework, which is used to characterize the carbon debt occupancy relationship of a certain control cycle within the settlement cycle.

[0065] The sequential arrangement result refers to the ordered data set formed by uniformly sorting the carbon debt occupancy positions after continuous expansion within the same settlement period according to the time sequence of the control period.

[0066] The above content will be described in detail below:

[0067] First, obtain aeration condition data and heat source condition data in advance, and ensure that both have been recorded according to a unified control cycle, and that both can be matched with their respective settlement cycles.

[0068] The control cycle is set as follows: the arrival sequence of continuously entering aeration condition data and heat source condition data is performed using a unified system time base, and the two types of data are aligned in the same window to extract the minimum common time window in which the two are continuously received in the same time period, and the minimum common time window is determined as a control cycle.

[0069] The settlement cycle is set to a higher-level cycle consisting of multiple consecutive control cycles that are integer multiples of each other.

[0070] Using the control cycle as the direct basis, the aeration condition data and the heat source condition data under the same control cycle are paired one by one. If there is a set of aeration condition data and a set of heat source condition data in a certain control cycle, then the two sets of data form a pairing relationship; if the two types of data under the control cycle are already uniquely matched in order, then a unique pairing relationship is directly formed.

[0071] All paired acceptance relationships are arranged continuously according to their respective settlement cycles. When arranging them continuously, they are first grouped according to the order of the settlement cycles, and then arranged according to the order of the control cycles within each settlement cycle, so that the paired acceptance relationships within the same settlement cycle form a continuous arrangement with an orderly beginning and end.

[0072] The integrity of paired relationships located at the settlement cycle boundary is assessed. The integrity assessment determines whether adjacent paired relationships at the boundary are continuous in the control cycle order, consistent in the settlement cycle affiliation, and whether there are any gaps, repetitions, or misplacements across the boundary in their arrangement. If the last paired relationship at the settlement cycle boundary is continuous in the control cycle order with the previous paired relationship, and the first paired relationship after the boundary can be independently inherited as the starting relationship for the next settlement cycle, then the continuous arrangement result is considered to have passed the integrity assessment. In this case, the continuous arrangement result is directly output as the working condition alignment data.

[0073] If a pair of relationships at the boundary of a settlement cycle fails the integrity check, the operating condition alignment data is not directly output. Instead, the position of the corresponding pair of relationships is adjusted. The position adjustment only moves the pair of relationships that fail the integrity check to the next position. That is, the positions of the pair of relationships that already meet the sequence requirements are kept unchanged, and the corresponding pair of relationships is tried to be placed sequentially into the control cycle position in the subsequent control cycle. After each placement, the relationships are rearranged continuously according to the settlement cycle and the same integrity check is performed again. When the pair of relationships is placed into a subsequent control cycle position and the data before and after the boundary no longer has gaps, repetitions, or misplacement across the boundary, the position is determined as the first control cycle position that passes the integrity check. Thereafter, the rearranged continuous arrangement result is used as the operating condition alignment data output.

[0074] The operating condition alignment data is continuously expanded according to the settlement cycle to generate carbon debt occupancy positions. During continuous expansion, each pair of operating condition alignment data is mapped to a corresponding carbon debt occupancy position according to the order of the data in each settlement cycle, so that each set of operating condition alignment data has a clear positional affiliation within the settlement cycle. For multiple operating condition alignment data within the same settlement cycle, multiple carbon debt occupancy positions are formed sequentially according to their control cycles. For operating condition alignment data between different settlement cycles, they are connected sequentially according to the settlement cycle, thus obtaining a carbon debt occupancy position sequence spanning multiple settlement cycles.

[0075] The carbon debt occupancy positions are arranged in a sequential order. The rules for this sequential ordering are as follows: first, the order of carbon debt occupancy positions within the same settlement period remains unchanged; then, the order between different settlement periods remains unchanged, thus obtaining a sequential ordering result.

[0076] A continuity integrity judgment is performed on the carbon debt occupancy positions between adjacent control periods. This continuity integrity judgment is based on the carbon debt occupancy positions of adjacent control periods, focusing on whether the carbon debt occupancy positions corresponding to the previous control period and the carbon debt occupancy positions corresponding to the next control period can be directly followed in a predetermined order. The judgment includes: whether there is an interruption between the previous and next positions, whether the next position exceeds the order that the previous position should take over, and whether the carbon debt occupancy positions of adjacent control periods cause partial overlap or inversion due to the arrangement of the positions. If the carbon debt occupancy positions between adjacent control periods all pass the continuity integrity judgment, it means that the arrangement results have met the carbon debt allocation requirements. At this time, the arrangement results are directly output as carbon debt allocation data.

[0077] If there are carbon debt occupancy positions that fail the continuity integrity judgment between adjacent control periods, a rearrangement process is initiated. In this process, the position of the corresponding carbon debt occupancy position is kept unchanged, that is, the carbon debt occupancy position currently used as the judgment benchmark is fixed in its original order position without being moved. Then, the subsequent carbon debt occupancy positions are rearranged according to the settlement period. During the rearrangement, the principle of settlement period priority and control period order continuity is still followed. Each carbon debt occupancy position after the fixed position is reordered in turn, and after each sorting, the continuity integrity judgment between the fixed position and the carbon debt occupancy positions of the subsequent adjacent control periods is performed again. If it still fails, the current benchmark position is kept unchanged, and the subsequent carbon debt occupancy positions are rearranged again. The rearrangement stops when the corresponding carbon debt occupancy position and the carbon debt occupancy position of the subsequent control period pass the continuity integrity judgment, and the arrangement result obtained at this time is output as carbon debt allocation data.

[0078] This scheme establishes aligned operating condition data for aeration and heat source operating conditions by first matching them according to the same control cycle and then arranging them according to the settlement cycle. This creates aligned operating condition data under a unified cycle benchmark, thus establishing a sequential basis for subsequent carbon debt occupancy relationships. By continuously expanding the aligned operating condition data according to the settlement cycle and arranging the resulting carbon debt occupancy positions sequentially, a continuous position sequence of carbon debt occupancy positions within the settlement cycle is formed, providing a basis for judging the continuity of occupancy relationships between adjacent control cycles. Furthermore, by judging the continuity integrity of carbon debt occupancy positions between adjacent control cycles, when continuity integrity is satisfied, the sequential arrangement result is directly limited to carbon debt allocation data, thus forming carbon debt allocation data according to a predetermined arrangement relationship. When continuity integrity is not satisfied, the corresponding carbon debt occupancy position remains unchanged, and the subsequent carbon debt occupancy positions are rearranged according to the settlement cycle, forming a continuity correction result characterized by maintaining the previous position and reorganizing the subsequent position. This allows the rearranged carbon debt occupancy positions to form carbon debt allocation data after passing the continuity integrity judgment, ultimately resulting in a carbon debt allocation result with a continuous continuity relationship.

[0079] The above describes aligning aeration and heat source operating data sequentially according to the same control and settlement cycles to generate carbon debt allocation data. The following describes aligning aeration and heat source operating data according to the same control cycle and then arranging them according to the settlement cycle to generate operating condition aligned data, specifically including:

[0080] The aeration condition data and the heat source condition data are matched one by one according to the same control cycle to obtain the paired acceptance relationship, and the paired acceptance relationship is arranged continuously according to the settlement cycle.

[0081] Based on the continuous arrangement results, the integrity of the paired acceptance relationships located at the settlement cycle boundary is judged. If the integrity is correct, the continuous arrangement results are output as working condition alignment data.

[0082] Otherwise, the corresponding paired acceptance relationship will be adjusted to the position of the first control cycle that passes the integrity judgment, and then continuously arranged according to the settlement cycle to generate working condition alignment data.

[0083] Among them, the paired connection relationship refers to the smallest associated data unit formed by matching aeration condition data with heat source condition data one-to-one under a unified control cycle identifier. This associated data unit uses the same control cycle as the unique constraint identifier and can simultaneously characterize the corresponding state of the aeration side and the heat source side within the control cycle.

[0084] Continuous arrangement results refer to the data set formed by arranging the aeration condition data and heat source condition data that have formed a corresponding relationship in the order of their respective control cycles, with the settlement cycle as the boundary.

[0085] This part has already been described in detail above, so I will not repeat it here.

[0086] This scheme establishes a paired relationship between aeration condition data and heat source condition data under the same control cycle by mapping them one-to-one according to the same control cycle. This provides a unified basis for subsequent arrangement based on cycle correspondence. Furthermore, by continuously arranging the paired relationships according to their respective settlement cycles, a continuous organizational result oriented towards the settlement cycle is formed, allowing condition relationships across control cycles to be sequentially inherited according to the settlement cycle. Further integrity checks are performed on paired relationships located at the settlement cycle boundaries. Continuous arrangements that meet integrity requirements are directly defined as condition-aligned data, resulting in boundary-complete condition-aligned results. For paired relationships that fail the integrity check, they are adjusted to the position of the first control cycle that passes the integrity check and re-arranged continuously according to their respective settlement cycles, forming condition-aligned data after boundary convergence. Therefore, the final output condition-aligned data simultaneously possesses control cycle correspondence and settlement cycle continuous arrangement relationships.

[0087] The above describes how aeration condition data and heat source condition data are matched according to the same control cycle and then arranged according to the settlement cycle to generate condition-aligned data. The following describes how carbon debt allocation data is matched with aeration condition data according to the order of the control cycles to generate unabsorbed location data, specifically including:

[0088] The carbon debt allocation data is aligned with the operating conditions and written into the control cycle position corresponding to the aeration operating conditions data to generate carbon debt acceptance data. The carbon debt acceptance data is then classified by position within the control cycle to generate the oxygen supply position of the compression position.

[0089] Based on the oxygen supply location of the compression site, the unabsorbed location is extracted from the carbon debt assumption data to generate unabsorbed location data.

[0090] Among them, carbon debt assumption data refers to the periodic assumption mapping result data formed after the carbon debt allocation data and aeration condition data are matched with the periodic position under the unified control period framework.

[0091] The oxygen supply location refers to the standardized set of locations formed by uniformly merging and continuously organizing all oxygen supply-related locations within the same control cycle after the carbon debt data and aeration condition data are matched.

[0092] The above content will be described in detail below:

[0093] The carbon debt allocation data, aeration condition data, and condition alignment data are uniformly periodically organized so that all three are arranged in the same control cycle order. Specifically, the allocation results in the carbon debt allocation data are sorted according to the control cycle from front to back, and the control cycle positions in the aeration condition data are arranged in the same chronological order. The condition alignment data is stored using the same periodic indexing method as the aforementioned two types of data. After this organization, each allocation result in the carbon debt allocation data can establish a unique correspondence with a control cycle position in the aeration condition data. The condition alignment data serves as the direct basis for this correspondence, ensuring that subsequent writing processes do not result in control cycle misalignment, position jumps, or cross-cycle mixed writing.

[0094] The process involves writing carbon debt allocation data to the corresponding control cycle position of the aeration condition data. Specifically, according to the correspondence represented by the condition alignment data, carbon debt allocation data is read item by item in the order of control cycles, and the read carbon debt allocation data is written to the control cycle position corresponding to the aeration condition data. As all carbon debt allocation data is written, a position inheritance relationship is formed in each control cycle, which is composed of the carbon debt allocation result and the corresponding position. This position inheritance relationship constitutes the carbon debt inheritance data.

[0095] The carbon debt assumption data is categorized by location within each control cycle to generate oxygen supply locations for compression sites. Specifically, within each control cycle, the locations in the carbon debt assumption data that have formed corresponding relationships are checked according to the original location order of the aeration condition data, and locations that are consecutively arranged within the same control cycle and have carbon debt assumption relationships are grouped into the same type of location set. If there are multiple non-contiguous location sets within a certain control cycle, they are categorized and saved separately. After this location categorization process, the location regions that have formed concentrated assumption relationships within the control cycle can be separated from the carbon debt assumption data, and these location regions are output as oxygen supply locations for compression sites.

[0096] The carbon debt assumption data is processed by extracting unabsorbed locations from the oxygen supply locations at the compression points to generate unabsorbed location data. Specifically, the carbon debt assumption data is compared with the oxygen supply locations at the compression points within the same control period. Each location in the carbon debt assumption data is checked to see if it falls within the coverage area of ​​the oxygen supply location at the compression point. If a location is covered by the oxygen supply location at the compression point, it means that the location has been absorbed by the centralized oxygen supply location formed in the current period and is no longer retained as an unabsorbed location. If a location is not covered by the oxygen supply location at the compression point, it means that although the carbon debt allocation data and aeration condition data have been written to the location, it has not yet been included in the centralized assumption range in the current control period. This location should be extracted from the carbon debt assumption data, and its corresponding control period information and location correspondence should be retained. After extracting all locations not covered by the oxygen supply location at the compression point, the unabsorbed location data is obtained.

[0097] Furthermore, to ensure the stable implementation of this method, in actual execution, location matching, location classification, and extraction of unabsorbed locations are all performed within the same settlement cycle according to a unified control cycle sequence, and the data processing within any control cycle uses the result of the previous processing as input. That is, the operating condition alignment data serves as the basis for writing carbon debt allocation data into the aeration operating condition data, and the writing result forms carbon debt acceptance data; the carbon debt acceptance data serves as the input for location classification processing, and the location classification result forms the oxygen supply location of the compression position; the oxygen supply location of the compression position then serves as the basis for extracting unabsorbed locations, and after working together with the carbon debt acceptance data, the unabsorbed location data is output.

[0098] This scheme establishes a clear positional correspondence between carbon debt allocation data and aeration condition data within the same control cycle by aligning carbon debt allocation data with operating conditions and writing it into the corresponding control cycle position of the aeration condition data. This generates carbon debt transfer data, enabling the orderly transfer of carbon debt allocation data within the control cycle. Based on this, the carbon debt transfer data is categorized by position within the control cycle to form compression and oxygen supply positions. This provides a basis for distinguishing between the portions of carbon debt transfer data that have been absorbed by the oxygen supply positions and those that have not, achieving a structured organization of positional relationships within the control cycle. Furthermore, based on the compression and oxygen supply positions, unabsorbed positions are extracted from the carbon debt transfer data, forming unabsorbed position data. This allows the portion of carbon debt transfer not absorbed by the compression and oxygen supply positions to be output independently, achieving clear identification and result convergence of unabsorbed positions within the control cycle. This enables subsequent processing to proceed along a predetermined path based on the data results from the completed positional correspondence, positional classification, and unabsorbed position extraction.

[0099] The above describes how carbon debt allocation data is mapped to aeration condition data according to the chronological order of the control cycle to generate unabsorbed location data. The following section describes how, after generating the unabsorbed location data, aeration constraint data is also generated. Please refer to [link / reference]. Figure 3 , Figure 3 This is a schematic diagram of the process for generating aeration constraint data provided in an embodiment of this application. Generating aeration constraint data specifically includes:

[0100] The carbon debt assumption data is used to identify the corresponding locations for continuous oxygen supply and generate reserved oxygen supply locations.

[0101] The carbon debt assumption data is assessed for absorption integrity based on the oxygen supply location of the compression position. If the assessment is correct, the oxygen supply location of the compression position, the oxygen supply location of the retention position, and the carbon debt assumption data are combined and merged to generate aeration constraint data.

[0102] Otherwise, the data on unabsorbed locations, reserved oxygen supply locations, and carbon debt assumption will be constrained and merged to generate aeration constraint data.

[0103] Among them, the reserved oxygen supply position refers to the data object that is determined based on the continuous oxygen supply correspondence in each control cycle corresponding to the carbon debt undertaking data, and which maintains the existing oxygen supply undertaking relationship in the subsequent control process and does not participate in the compression adjustment.

[0104] Aeration constraint data refers to a structured data set that is based on carbon debt assumption data and combined with the correspondence of oxygen supply locations to limit the feasible range and the range that must be retained for aeration in each control cycle.

[0105] The above content will be described in detail below:

[0106] Read the carbon debt acceptance data and arrange them sequentially according to the order of acceptance positions in the carbon debt acceptance data to form a continuously searchable position sequence. Then, based on this position sequence, perform continuous oxygen supply corresponding position identification on the carbon debt acceptance data. During identification, extract the oxygen supply positions that can maintain the continuous correspondence between the preceding and following positions from the position sequence corresponding to the carbon debt acceptance data, and determine these positions as reserved oxygen supply positions.

[0107] The integrity of carbon debt acceptance data is assessed based on the oxygen supply location of the compression point. Specifically, the oxygen supply location of the compression point is matched with the carbon debt acceptance data item by item according to the same location, and it is checked whether the corresponding location of the carbon debt acceptance data has been accepted by the oxygen supply location of the compression point. If the corresponding location of the carbon debt acceptance data can be found in the oxygen supply location of the compression point, the absorption of the carbon debt acceptance data by the oxygen supply location of the compression point is determined to be complete. If there are still locations in the carbon debt acceptance data that cannot be accepted by the oxygen supply location of the compression point, the absorption of the carbon debt acceptance data by the oxygen supply location of the compression point is determined to be incomplete.

[0108] When the judgment result indicates that the oxygen supply position at the compression point has completely absorbed the carbon debt assumption data, the oxygen supply positions at the compression point, the oxygen supply positions at the retention point, and the carbon debt assumption data are combined and merged to generate aeration constraint data. During the combination and merging, the carbon debt assumption data is used as the overall position index. The oxygen supply positions at the compression point are written into the corresponding positions in the carbon debt assumption data according to their established position correspondences. Then, the oxygen supply positions at the retention point are written into the corresponding positions in the carbon debt assumption data that still need to maintain continuity according to the continuous oxygen supply relationship. This ensures that the oxygen supply positions at the compression point and the oxygen supply positions at the retention point form a unified position correspondence with the carbon debt assumption data under the same position benchmark. The unified position correspondence is then output as aeration constraint data. The resulting aeration constraint data retains both the absorption result of the carbon debt assumption data at the oxygen supply position at the compression point and the positional continuity required for continuous oxygen supply, thus enabling the aeration constraint data to simultaneously possess both positional assumption relationships and continuous oxygen supply constraint relationships.

[0109] When the assessment results indicate that the oxygen supply position at the compression point does not fully absorb the carbon debt assumption data, the data of unabsorbed positions, the oxygen supply positions at the reserved positions, and the carbon debt assumption data are constrained and merged to generate aeration constraint data. During constraint merging, the carbon debt assumption data is used as the overall position index. First, the unabsorbed position data is written into the carbon debt assumption data to identify the position range where absorption is incomplete. Then, the oxygen supply positions at the reserved positions are written into the carbon debt assumption data to identify the positions where continuous oxygen supply needs to be maintained, so that the unabsorbed positions and the continuous oxygen supply positions form a joint constraint under the same position benchmark. Subsequently, this joint constraint relationship is output together with the carbon debt assumption data as aeration constraint data. The resulting aeration constraint data clearly indicates both the position range where absorption is incomplete and the position range where continuous oxygen supply still needs to be maintained, so that subsequent processing can simultaneously identify the unabsorbed limitation and the continuous oxygen supply limitation under the unified position benchmark of the carbon debt assumption data.

[0110] This scheme identifies the corresponding locations for continuous oxygen supply in carbon debt assumption data, forming reserved oxygen supply positions. This allows for the individual identification of positions in the carbon debt assumption data that require continuous oxygen supply, thus establishing a positional basis directly corresponding to subsequent constraint merging. Based on this, the scheme performs an absorption integrity assessment on the carbon debt assumption data according to the compression oxygen supply positions, classifying the current oxygen supply assumption relationships into two processing paths: those that can be completely absorbed and those that cannot, thereby determining the subsequent merging paths. When the absorption integrity assessment result is positive, the scheme combines and merges the compression oxygen supply positions, reserved oxygen supply positions, and carbon debt assumption data, aligning the already compressed and assumed positions with the continuous oxygen supply that needs to be retained. The positional relationships are incorporated into the same data result, thus forming aeration constraint data that simultaneously possesses both inheritance and oxygen supply constraint relationships. When the absorption integrity judgment result is otherwise, the data on unabsorbed positions, retained oxygen supply positions, and carbon debt inheritance are constrained and merged, so that the unabsorbed positions are retained under the existing carbon debt inheritance relationship and converged into the same data result along with the continuous oxygen supply positions, thereby forming aeration constraint data that includes the constraint of unabsorbed positions. Thus, the entire process realizes the path identification and merging of continuous oxygen supply positions, absorption integrity status, and unabsorbed positions in the carbon debt inheritance data, enabling the aeration constraint data to form clear constraint boundaries and inheritance relationships according to the predetermined judgment results.

[0111] As described above, after generating the unabsorbed location data, the next step is to generate aeration constraint data. The remaining unabsorbed location data will be written into the shifted location data according to the carbon debt allocation data, and then merged with the location correspondence to generate heat source distribution data. Please refer to [link / reference]. Figure 4 , Figure 4 This is a schematic diagram of the process for generating heat source branch data provided in an embodiment of this application. Generating heat source branch data specifically includes:

[0112] Write the remaining unabsorbed location data into the shifted location data one by one according to the carbon debt allocation data to generate the corresponding shifted data;

[0113] The corresponding data and location relationships of the shifted data are sorted in order according to the carbon debt allocation data to generate branch sorting data. The branch sorting data and carbon debt allocation data are then arranged in a unified manner to generate heat source branch data.

[0114] Among them, the shifted corresponding data refers to the data object formed by sequentially writing the unabsorbed position data into the shifted position data under the premise that the control cycle order limited by the carbon debt allocation data is the only basis for acceptance, and is used to characterize the repositioning result of the unabsorbed position data in each control cycle.

[0115] Branching data refers to intermediate data formed by sequentially merging the corresponding data and their positional relationships under the constraints of a unified control cycle and carbon debt allocation order. It is used to characterize the complete connection structure and continuous arrangement of heat source branching data within the same control cycle.

[0116] The above content will be described in detail below:

[0117] The heat source operating condition data is read sequentially according to the control cycle. During processing, the current control cycle is used as the starting cycle, and the cycle occupancy relationship of the heat source operating condition data corresponding to the starting cycle is extracted to obtain the current period's position data. At the same time, the cycle occupancy relationship of the heat source operating condition data corresponding to each control cycle after the starting cycle is continuously extracted to obtain the subsequent position data.

[0118] To facilitate direct implementation by those skilled in the relevant technical field, the current placement data and the subsequent placement data can be extracted in a aggregated manner according to the periodic occupancy relationship corresponding to the heat source operating condition data. Accordingly, the following formula can be used to express this:

[0119] ;

[0120] In the formula, Indicates the current control cycle The corresponding current position data, Indicates the current control cycle The subsequent shift and placement data for each control cycle The data representing the operating conditions of the heat source indicates the first... One location, Indicates position During the control cycle The periodic occupancy relationship below, when this position is within the control cycle The value below is 1 when writing is currently active, and 0 otherwise. This indicates the sequence number of the last control cycle involved in this process. This indicates the control cycle number following the current control cycle, with a limited range of necessary values: The value range is 0 or 1. and It is a positive integer;

[0121] The unabsorbed location data is sequentially mapped to the carbon debt allocation data. Here, the carbon debt allocation data is used to indicate the writing order under the current control period, while the unabsorbed location data is the object to be written. When processing according to this writing order, the first position in the unabsorbed location data is read first, and then the first position is mapped one-to-one with the current period's location data. If the first position has been mapped, the next position is read and the same mapping process is performed. This continues until all unabsorbed location data that can be mapped to the current period's location data under the current control period has been processed. Through this process, a one-to-one mapping relationship is formed between the unabsorbed location data and the current period's location data, and the location mapping relationship is output.

[0122] Based on the current placement data, a coverage integrity judgment is performed on the unabsorbed position data. Specifically, the total number of positions included in the unabsorbed position data is counted, and then the total number of positions already written in the position correspondence is counted. The two are compared. When they are equal, it indicates that the current placement data has covered all unabsorbed position data; when they are not equal, it indicates that there are still positions not absorbed by the current control cycle, and subsequent placement data needs to be written. To clarify this judgment process, the following coverage integrity coefficient can be used:

[0123] ;

[0124] In the formula, Indicates the current control cycle The coverage integrity coefficient, Indicates the current control cycle The number of locations included in the corresponding unabsorbed location data. This indicates the number of locations that have been written in the location mapping relationship. The required value range is limited. It is a positive integer. Not less than 0 and not greater than integers, The range of values ​​is ,when When =1, it is determined to be a complete cover; when At that time, it was determined that the content was not fully covered.

[0125] When the coverage integrity judgment indicates that the current location data has covered all the unabsorbed location data, it means that the current location correspondence has fully reflected the writing results of the unabsorbed location data in the current control cycle. Therefore, there is no need to continue calling the subsequent location data. In this case, the location correspondence is directly output as the heat source distribution data. At this time, the output heat source distribution data has simultaneously included the connection results between the unabsorbed location data, carbon debt allocation data and the current location data, and can directly characterize the heat source distribution status in the current control cycle.

[0126] When the coverage integrity assessment indicates that the current period's placement data does not cover all unabsorbed position data, it means that there are still unabsorbed position data that have not been written in the current control cycle. In this case, the remaining unabsorbed position data will be written into the subsequent placement data one by one according to the cycle order corresponding to the carbon bond allocation data. In specific implementation, a position is first read from the remaining unabsorbed position data that has not been written in the end, and then the position is matched with the subsequent control cycle occupancy relationship represented by the subsequent placement data. When the position is matched, the next position is processed until all remaining unabsorbed position data is matched with the subsequent placement data. Through this process, the subsequent corresponding data is output.

[0127] After generating the shift-corresponding data, the shift-corresponding data and positional correspondences are organized sequentially according to the carbon debt allocation data to generate branched-out organized data. During this sequential organization, the existing current control cycle correspondences in the positional correspondences and the existing subsequent control cycle correspondences in the shift-corresponding data are not altered. Instead, both are arranged in the order given by the carbon debt allocation data. Specifically, the sequential positions of the positional correspondences in the carbon debt allocation data are first determined, followed by the sequential positions of the shift-corresponding data. Then, the two are concatenated into a continuous sequence according to the order of the control cycles, ensuring that the current position write result and the subsequent control cycle write result are consecutively arranged in time. The branched-out organized data is then output after this organization.

[0128] After the source data is processed, it is then uniformly arranged with the carbon debt allocation data to generate heat source source data. The purpose of this uniform arrangement is to ensure that each write result in the source data corresponds to a unique carbon debt allocation sequence position. This allows the heat source source data to not only represent the write results of unabsorbed location data in the current and subsequent control cycles, but also the cyclical correspondence between these write results and the carbon debt allocation data. In practice, the cyclical sequence given by the carbon debt allocation data is used as the main sequence, and the source data is checked item by item. Data with consistent sequences is directly retained; data with discrepancies are rearranged according to the cyclical sequence given by the carbon debt allocation data before output. The heat source source data generated after this uniform arrangement fully covers the write results of unabsorbed location data in the current and subsequent control cycles and maintains cyclical consistency with the carbon debt allocation data.

[0129] Preferably, in actual implementation, heat source operating condition data can be expressed in a periodic occupancy relationship that is continuously recorded according to the control cycle, carbon debt allocation data can be recorded in a sequential form that corresponds one-to-one with the control cycle, and unabsorbed location data can be recorded in a form that lists the locations to be processed one by one. Based on this, the following steps are taken: First, the set of locations corresponding to the current control cycle is extracted from the heat source operating condition data as the current location data. Then, the set of locations corresponding to the next control cycle is extracted from the heat source operating condition data as the subsequent location data. Next, based on the cycle order given by the carbon debt allocation data, the unabsorbed location data is written into the current location data to form a location correspondence. Then, the coverage integrity coefficient is used to determine whether the current location correspondence has covered all unabsorbed location data. If it has been covered, the heat source branch data is directly output. If it has not been covered, the remaining unabsorbed location data is written into the subsequent location data to form the subsequent correspondence data. The subsequent correspondence data and the location correspondence are then sorted according to the carbon debt allocation data to generate branch sorting data. Finally, the branch sorting data and the carbon debt allocation data are arranged in a unified manner to output the heat source branch data.

[0130] This scheme establishes a sequential correspondence between the remaining unabsorbed location data and the subsequent location data based on the carbon debt allocation data by writing the remaining unabsorbed location data into the subsequent location data one by one according to the carbon debt allocation data. This enables the sequential location expression of subsequent receiving objects. Furthermore, by organizing the subsequent location correspondence data and the location correspondence in order according to the carbon debt allocation data, a unified receiving relationship is formed between the subsequent location correspondence data and the location correspondence under the same allocation order. This also enables the continuous consolidation of the original location receiving relationship and the subsequent location receiving relationship. Finally, by arranging the sorted data and the carbon debt allocation data in a unified manner, heat source sorting data constrained by the carbon debt allocation data is formed. This allows the heat source-related locations to be expressed in a structured sorting order under a predetermined allocation order, and enables the heat source sorting data to be formed as data results with a clear attribution order and receiving relationship in subsequent control processing.

[0131] The above describes how the remaining unabsorbed location data is written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source distribution data. The following describes how to write the heat source distribution data and carbon debt allocation data into the system to generate hierarchical control results, specifically including:

[0132] Using aeration constraint data as the control cycle interval limit, the heat source branch data and heat source operating condition data are matched with the control cycle interval to generate time-shifted drying data;

[0133] The carbon debt allocation data, aeration constraint data, heat source distribution data, and time-shifting drying data are uniformly mapped to generate a continuous control chain. The continuous control chain is then checked for conflicts to generate hierarchical control results.

[0134] Among them, time-shifted drying data refers to the data set formed after the control cycle of the heat source branch data is re-corresponded under the condition of satisfying the control cycle interval limit, which is used to characterize the redistribution relationship of sludge drying tasks between different control cycles.

[0135] A continuous control chain refers to a continuous data transfer structure formed by sequentially matching aeration constraint data, heat source distribution data, and time-shifting drying data within each control cycle under a unified control cycle division, with carbon debt allocation data as the basis for the transfer order.

[0136] The above content will be described in detail below:

[0137] Using aeration constraint data as the control cycle interval limit, heat source branch data and heat source operating condition data are written sequentially according to the order of the control cycles. Specifically, using aeration constraint data as the control cycle interval limit means that during the writing process of each control cycle, if aeration constraint data has already occupied or prohibits the entry of heat source branch data, heat source branch data is not allowed to form a writing result in that control cycle; only in control cycles where aeration constraint data does not constitute a restriction are heat source branch data allowed to combine with heat source operating condition data to form a writing result. After the above processing, the data to be written later is obtained.

[0138] After the shifted-in data is generated, a continuity check is performed on the shifted-in data and the carbon debt allocation data. The purpose of the continuity check is to confirm whether the writing result of the shifted-in data in the control cycle can maintain an uninterrupted consistency with the allocation order of the carbon debt data in the control cycle. To facilitate implementation by those skilled in the art, the following continuity check formula can be used:

[0139] ;

[0140] In the formula, This indicates the total number of control cycles participating in this write judgment within the same settlement cycle, and , This indicates that the data to be written to the next position is in the [number]th position. The write position number in each control cycle. This indicates that the data to be written to the next position is in the [number]th position. The write position number in each control cycle. The carbon debt allocation data is shown in the first... The sequence number of the ownership in each control cycle. The carbon debt allocation data is shown in the first... The sequence number of the ownership in each control cycle. This represents the sequence deviation value between two adjacent control cycles;

[0141] When all When, it indicates that the sequential relationship of the data written later in adjacent control cycles is consistent with the order of carbon debt allocation data, that is, the data written later forms an uninterrupted continuous writing interval in the control cycle; when any When the shifted data and carbon debt allocation data have a sequential jump in at least one adjacent control cycle, they cannot be considered continuous. Here, "uninterrupted" means that in the continuous interval from the beginning of one control cycle to the end of another control cycle, there are valid write results in each adjacent control cycle, and there is no situation where there is a gap in the intermediate control cycle and a write result reappears in the subsequent control cycle.

[0142] When the continuity is determined to be yes, the data written after the shift is processed to generate time-shifted dry data. The specific processing is as follows: the existing sequential relationship of the data written after the shift in each control cycle remains unchanged, the established continuous correspondence between the data and the carbon debt allocation data remains unchanged, and the writing results in the same continuous interval are merged in the order of the control cycle so that each control cycle retains only one writing result for subsequent unified correspondence, thereby forming time-shifted dry data.

[0143] When the continuity assessment is negative, the data to be shifted back is retained within the current control cycle, and the remaining data is shifted sequentially to generate time-shifted drying data. Retention within the current control cycle means that write results already in the current control cycle and not subject to further delay are retained within the current control cycle. Shifting the remaining data sequentially means that the remaining write results that do not meet the continuity requirement are rewritten sequentially to subsequent control cycles according to the allocation order given by the carbon debt allocation data, while continuing to meet the control cycle limitations given by the aeration constraint data and the acceptance status given by the heat source operating condition data. For ease of implementation, the following formula for calculating the shift amount can be used:

[0144] ;

[0145] In the formula, This indicates that the data to be written to the next position is in the [number]th position. The minimum number of backward control cycles corresponding to each control cycle. Indicates the number of control cycles shifted backward. Represents the set of positive integers. The carbon debt allocation data is shown in the first... The sequence number of the ownership in each control cycle. This indicates taking the minimum value;

[0146] This formula is used to identify the first control cycle from the subsequent control cycles that can re-establish the order of carbon debt allocation data when continuity is not satisfied, and then shifts the corresponding results to that control cycle; the necessary numerical range is limited to: ,and ;

[0147] In obtaining Then, the corresponding shifted-to-the-right write result is entered from the first... The control cycle is adjusted to the [number]th [cycle]. Each control cycle is then combined with other previously retained write results to form time-shifted dry data that meets subsequent unified requirements.

[0148] After obtaining the time-lapse drying data, the carbon debt allocation data, aeration constraint data, heat source allocation data, and time-lapse drying data are uniformly mapped to generate a continuous control chain. This uniform mapping means mapping all four types of data to the same control cycle sequence under the same settlement period, ensuring that each control cycle simultaneously obtains the allocation order corresponding to the carbon debt allocation data, the restriction results corresponding to the aeration constraint data, the succession results corresponding to the heat source allocation data, and the subsequent shift results corresponding to the time-lapse drying data. Once the continuous control chain is formed, each control cycle corresponds to a unique set of comprehensive control states. These comprehensive control states reflect the succession and sequence relationships among the carbon debt allocation data, aeration constraint data, heat source allocation data, and time-lapse drying data within the same control cycle. Since the continuous control chain has already completed the mapping under a unified cycle coordinate system, subsequent parallel allocation judgments do not require separate asynchronous alignment of multiple data types but can be directly completed on the continuous control chain.

[0149] Subsequently, the carbon debt allocation data is classified according to the continuous control chain. This classification determines whether, within the same control period, aeration constraint data, heat source distribution data, and time-lapse drying data simultaneously belong to the same classification order corresponding to the carbon debt allocation data. To facilitate implementation by those skilled in the art, the following formula for classification can be used:

[0150] ;

[0151] In the formula, Indicates the first Parallel attribution count values ​​over each control cycle, This indicates that the aeration constraint data is in the first... The corresponding sequence number on each control cycle. This indicates the heat source branch data in the first... The corresponding sequence number on each control cycle. Indicates the time-shifted drying data at the 1st The corresponding sequence number on each control cycle. This represents an indicator function, which takes the value of one when the condition inside the parentheses is true, and takes the value of zero when the condition inside the parentheses is false.

[0152] when At, it indicates the time. In each control cycle, at most one type of data—aeration constraint data, heat source branch data, and time-shifting drying data—belongs to the current allocation order corresponding to the carbon debt allocation data, and there are no parallel allocations.

[0153] when At, it indicates the time. In each control period, at least two types of data simultaneously belong to the same allocation order corresponding to carbon debt allocation data, indicating parallel allocation. Conflict adjustment is required, and the necessary numerical range is limited to: The value of is an integer between zero and three.

[0154] When the parallel attribution judgment is negative, the continuous control chain is directly output as the hierarchical control result. At this time, the comprehensive control state corresponding to each control cycle in the continuous control chain has met the attribution requirements of carbon debt allocation data in the settlement cycle, and there is no overlap in the attribution order of aeration constraint data, heat source branch data, and time-shifted drying data. Therefore, there is no need to shift or rearrange any control cycle, and the continuous control chain can be used as the final hierarchical control result.

[0155] When a parallel attribution is determined, aeration constraint data and heat source distribution data are preferentially retained for the continuous control chain. The time-shifted drying data is then adjusted according to the carbon debt allocation data to shift the control cycle, generating a tiered control result. Prioritizing the retention of aeration constraint data means that within a control cycle with parallel attribution, the already established control cycle correspondence of the aeration constraint data remains unchanged, allowing the aeration constraint data to continue occupying the current control cycle. Prioritizing the retention of heat source distribution data means that, provided the aeration constraint data is already retained, the existing connection relationship of the heat source distribution data within the current control cycle remains unchanged. After both types of data are retained, the time-shifted drying data is adjusted to shift the control cycle, causing the time-shifted drying data that was originally paralleled with the aeration constraint data or heat source distribution data in the same control cycle to move to subsequent control cycles according to the attribution order given by the carbon debt allocation data, until the time-shifted drying data no longer forms a parallel attribution with the retained aeration constraint data and heat source distribution data in the new control cycle. For ease of implementation, the following adjustment formula can be used:

[0156] ;

[0157] In the formula, Indicates the time-shifted drying data at the 1st When a conflict occurs in a control cycle, the corresponding sequence number is adjusted. This indicates the minimum shift step size required to find the next control cycle that can be carried over from the current control cycle. This indicates that the aeration constraint data is in the first... The corresponding sequence number on each control cycle. This indicates the heat source branch data in the first... The corresponding sequence number on each control cycle. The carbon debt allocation data is shown in the first... The sequence number of the ownership in each control cycle.

[0158] This formula is used to identify the first control cycle from subsequent control cycles that will not be tied to the current carbon debt allocation data after aeration constraint data and heat source distribution data have been preferentially retained. Any conflicting time-shifted drying data will then be adjusted to this control cycle. The necessary numerical range is limited to: ,and After this adjustment, the adjusted time-shifted drying data is written back to the corresponding control cycle of the continuous control chain, thereby obtaining the continuous control chain after the parallel assignment is eliminated, and outputting it as the hierarchical control result.

[0159] Therefore, this implementation method forms the following complete technical path: First, the control cycle interval is defined by aeration constraint data. Heat source branch data and heat source operating condition data are written in the order of the control cycle to generate shifted-write data. Then, by judging the continuity between the shifted-write data and carbon debt allocation data, the time-shifted drying data is generated directly or after control cycle shifting. Next, the carbon debt allocation data, aeration constraint data, heat source branch data, and time-shifted drying data are uniformly matched to generate a continuous control chain. Finally, the carbon debt allocation data is judged to be assigned to other data in parallel according to the continuous control chain. If there is no parallel assignment, the continuous control chain is directly output. If there is parallel assignment, the aeration constraint data and heat source branch data are retained first, and the time-shifted drying data is adjusted to the subsequent control cycle according to the carbon debt allocation data, and finally, a hierarchical control result is generated.

[0160] This scheme limits the control cycle interval using aeration constraint data and applies this limitation to the correspondence between the control cycle intervals of heat source branch data and heat source operating condition data. This establishes a clear correspondence range for heat source branch data in each control cycle and a cycle continuity relationship with heat source operating condition data, thereby enabling the generation of time-shifted drying data. This transforms the original branch data into data results that can participate in subsequent unified correspondence according to the control cycle. Furthermore, by unifying the correspondence between carbon debt allocation data, aeration constraint data, heat source branch data, and time-shifted drying data, a continuous flow of various types of data under the same control path is formed. The succession relationship enables the structured formation of a continuous control chain, providing a unified data organization basis for the attribution of carbon debt allocation data to heat source branching data and time-shifted drying data. Furthermore, by performing conflict verification on the continuous control chain, the attribution relationship of data within the same control path is identified and screened, enabling the convergence of conflicting data relationships and the retention of non-conflicting data relationships. This allows the hierarchical control results to be formed according to the predetermined attribution relationship based on the continuous control chain, ultimately achieving the control cycle limitation, continuous succession, and result convergence of heat source branching data under the combined action of aeration constraint data and carbon debt allocation data.

[0161] The above describes the attribution and writing of heat source distribution data and carbon debt allocation data to generate hierarchical control results. The following describes the mapping of heat source distribution data and heat source operating condition data to control cycle intervals to generate time-shifted drying data, specifically including:

[0162] The heat source branch data and heat source operating condition data are written sequentially according to the order of the control cycle to generate the shifted data. The continuity of the shifted data and carbon debt allocation data is judged. If the continuity is true, the shifted data is sorted to generate time-shifted drying data.

[0163] Otherwise, the data to be shifted back is retained in the current control cycle and the remaining part is shifted back sequentially to generate time-shifted dried data.

[0164] Among them, the data to be written later refers to the data set formed by establishing a correspondence between the heat source branch data and the heat source operating condition data according to the order of the control cycle under the unified control cycle framework, which is used for subsequent continuity judgment and position adjustment.

[0165] This part has already been described in detail above, so I will not repeat it here.

[0166] This scheme establishes a continuous correspondence between heat source branch data and heat source operating condition data across control cycles by sequentially writing the data according to the order of the control cycle. This clearly defines the cycle continuity required for subsequent processing. By using continuity checks between the subsequently written data and carbon debt allocation data, it is possible to directly identify whether the subsequently written data meets the corresponding continuous control cycle intervals, thus determining the formation path of the time-shifted drying data based on the check results. When the continuity check is successful, the subsequently written data is processed to form a data consistent with the carbon debt allocation data. The continuous interval correspondence results are obtained, thus realizing the direct formation of time-shifted drying data according to the existing cycle order. When the continuity judgment is not valid, the current control cycle retention and the remaining part sequentially shifted back are processed on the data to be shifted back, forming an interval correspondence result in which the retained part in the current control cycle is connected with the part that follows the subsequent control cycle. Thus, the time-shifted drying data is completed without interrupting the control cycle connection relationship. Therefore, through sequential writing, continuity judgment, and data sorting or shifting based on the judgment result, time-shifted drying data consistent with the control cycle interval correspondence relationship is finally formed.

[0167] The above describes how to map the heat source branch data and heat source operating condition data to control cycle intervals to generate time-shifted drying data. The following describes how to perform conflict verification on the continuous control chain to generate hierarchical control results, specifically including:

[0168] Based on the continuous control chain, the carbon debt allocation data is classified into parallel categories. If so, the aeration constraint data and heat source branch data of the continuous control chain are retained first, and the time-shifting drying data is adjusted accordingly by shifting the control cycle according to the carbon debt allocation data, thus generating a hierarchical control result.

[0169] Otherwise, the continuous control chain will be output as the result of hierarchical control.

[0170] This part has already been described in detail above, so I will not repeat it here.

[0171] This scheme first identifies the attribution relationships of carbon debt allocation data based on the continuous control chain, thus directly determining whether an adjustment process is needed. When parallel attributions exist, aeration constraint data and heat source distribution data in the continuous control chain are preferentially retained. The time-lapse drying data is then adjusted by shifting the control cycle according to the carbon debt allocation data, resulting in a re-inheritance of the time-lapse drying data relative to the existing attribution relationships. This achieves the convergence of parallel attribution relationships, re-limiting overlapping attributions in the continuous control chain to subsequent control cycle relationships, thereby forming a hierarchical control result constrained by the carbon debt allocation data. When no parallel attributions exist, the continuous control chain is directly output as the hierarchical control result, thus preserving the existing data inheritance relationships and maintaining the complete control chain structure. Therefore, through parallel attribution judgment and corresponding retention, shifting, or direct output mechanisms, a hierarchical control result after conflict verification is ultimately formed.

[0172] Example 2:

[0173] Please see Figure 5 A regional integrated energy hierarchical optimization control system based on a carbon trading mechanism, comprising:

[0174] The data acquisition module is used to acquire aeration condition data and heat source condition data of the target object;

[0175] The location mapping module is used to align aeration condition data and heat source condition data in the same order according to the same control cycle and settlement cycle, generate carbon debt allocation data, and map the carbon debt allocation data to the aeration condition data in the order of the control cycle to generate unabsorbed location data.

[0176] The heat source branch output module is used to write the unabsorbed location data one by one into the current location data within the current control cycle based on the carbon debt allocation data, generate the location correspondence, and perform a coverage integrity judgment on the unabsorbed location data based on the current location data. If the integrity is correct, the location correspondence is output as the heat source branch data.

[0177] Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data;

[0178] Among them, the current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data;

[0179] The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data;

[0180] The hierarchical control output module is used to assign and write heat source branch data and carbon debt allocation data to generate hierarchical control results.

[0181] This embodiment has the same technical effects as Embodiment 1.

[0182] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. The data mentioned in this application have undergone normalization and other preprocessing to unify dimensions during formula calculations.

[0183] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A regional integrated energy stratified optimization control method based on a carbon trading mechanism, applied to the stratified regulation of carbon trading in a wastewater recycling plant, characterized in that... Includes the following steps: Acquire aeration and heat source data of the target object; The aeration condition data and the heat source condition data are aligned sequentially according to the same control cycle and settlement cycle to generate carbon debt allocation data. The carbon debt allocation data is then matched with the aeration condition data according to the order of the control cycle to generate unabsorbed location data. Based on the carbon debt allocation data, the unabsorbed location data is written into the current location data one by one within the current control cycle to generate a location correspondence. The coverage integrity of the unabsorbed location data is judged based on the current location data. If the integrity is correct, the location correspondence is output as heat source branch data. Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data; The current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data; The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data; The heat source branching data and the carbon debt allocation data are assigned and written to generate hierarchical control results.

2. The regional integrated energy hierarchical optimization control method based on carbon trading mechanism according to claim 1, characterized in that: The aeration condition data and the heat source condition data are sequentially aligned according to the same control cycle and settlement cycle to generate carbon debt allocation data, specifically including: The aeration condition data and the heat source condition data are matched according to the same control cycle and then arranged according to the settlement cycle to generate condition alignment data. The operating condition alignment data is continuously expanded according to the settlement cycle to generate carbon debt occupancy positions, and the carbon debt occupancy positions are arranged in front and behind. The carbon debt occupancy position between adjacent control cycles is judged for continuity integrity. If it is, the result of the previous and next arrangement is output as carbon debt allocation data. Otherwise, the corresponding carbon debt occupancy position remains unchanged, and the subsequent carbon debt occupancy positions are rearranged according to the settlement cycle until the corresponding carbon debt occupancy position and the carbon debt occupancy position of the subsequent control cycle are judged for continuity integrity and carbon debt allocation data is generated.

3. The regional integrated energy hierarchical optimization control method based on a carbon trading mechanism according to claim 2, characterized in that: The aeration condition data and the heat source condition data are matched according to the same control cycle and then arranged according to the settlement cycle to generate condition-aligned data. Specifically, this includes: The aeration condition data and the heat source condition data are matched one by one according to the same control cycle to obtain a pair of acceptance relationships, and the pair of acceptance relationships are arranged continuously according to their respective settlement cycles. Based on the continuous arrangement results, the integrity of the paired acceptance relationship located at the settlement cycle boundary is judged. If it is correct, the continuous arrangement results are output as working condition alignment data. Otherwise, the corresponding paired acceptance relationship will be adjusted to the position of the first control cycle that passes the integrity judgment, and then continuously arranged according to the settlement cycle to generate working condition alignment data.

4. The regional integrated energy hierarchical optimization control method based on carbon trading mechanism according to claim 2, characterized in that: The carbon debt allocation data is matched with the aeration condition data according to the chronological order of the control cycle to generate unabsorbed location data. This specifically includes: The carbon debt allocation data is written into the control cycle position corresponding to the aeration condition data according to the working condition alignment data to generate carbon debt acceptance data. The carbon debt acceptance data is then classified by position within the control cycle to generate the oxygen supply position of the compression position. Based on the oxygen supply location of the compression position, the unabsorbed location is extracted from the carbon debt assumption data to generate unabsorbed location data.

5. The regional integrated energy stratified optimization control method based on a carbon trading mechanism according to claim 4, characterized in that: After generating the unabsorbed location data, the process also includes generating aeration constraint data, specifically including: The carbon debt assumption data is used to identify the corresponding location of continuous oxygen supply and generate reserved oxygen supply locations. The carbon debt assumption data is assessed for absorption integrity based on the oxygen supply position of the compression point. If the assessment is correct, the oxygen supply position of the compression point, the oxygen supply position of the retention point, and the carbon debt assumption data are combined and merged to generate aeration constraint data. Otherwise, the unabsorbed location data, the reserved oxygen supply location, and the carbon debt assumption data are constrained and merged to generate aeration constraint data.

6. The regional integrated energy hierarchical optimization control method based on a carbon trading mechanism according to claim 1, characterized in that: The remaining unabsorbed location data is written into the shifted location data one by one according to the carbon debt allocation data, and then merged with the location correspondence to generate heat source branching data, specifically including: The remaining unabsorbed location data are written into the shifted location data one by one according to the carbon debt allocation data to generate the corresponding shifted data; The corresponding data for the shift and the corresponding position are sorted in order according to the carbon debt allocation data to generate branch sorting data. The branch sorting data and the carbon debt allocation data are then arranged in a unified manner to generate heat source branch data.

7. The regional integrated energy stratified optimization control method based on a carbon trading mechanism according to claim 5, characterized in that: The process of attributing and writing the heat source distribution data and the carbon debt allocation data to generate hierarchical control results specifically includes: Using the aeration constraint data as the control cycle interval limit condition, the heat source branch data and the heat source operating condition data are matched with the control cycle interval to generate time-shifted drying data. The carbon debt allocation data, aeration constraint data, heat source branching data, and time-shifting drying data are uniformly mapped to generate a continuous control chain. The continuous control chain is then checked for conflicts to generate hierarchical control results.

8. The regional integrated energy hierarchical optimization control method based on a carbon trading mechanism according to claim 7, characterized in that: Specifically, generating time-shifted drying data involves mapping the heat source branch data and the heat source operating condition data to control cycle intervals, including: The heat source branch data and heat source operating condition data are written sequentially according to the order of the control cycle to generate the shifted write data. The continuity of the shifted write data and the carbon debt allocation data is judged. If the continuity is true, the shifted write data is sorted to generate time-shifted drying data. Otherwise, the data to be shifted back is retained in the current control cycle and the remaining part is shifted back sequentially to generate time-shifted dry data.

9. A regional integrated energy hierarchical optimization control method based on a carbon trading mechanism according to claim 7, characterized in that: The conflict check of the continuous control chain to generate hierarchical control results specifically includes: The carbon debt allocation data is assigned to a parallel system based on the continuous control chain. If the assignment is correct, the aeration constraint data and the heat source branch data are preferentially retained in the continuous control chain. The time-shifting drying data is then adjusted according to the carbon debt allocation data to shift the control cycle accordingly, thereby generating a hierarchical control result. Otherwise, the continuous control chain will be output as a hierarchical control result.

10. A regional integrated energy hierarchical optimization control system based on a carbon trading mechanism, characterized in that, include: The data acquisition module is used to acquire aeration condition data and heat source condition data of the target object; The location mapping module is used to align the aeration condition data and the heat source condition data in the same order according to the same control cycle and settlement cycle to generate carbon debt allocation data, and to map the carbon debt allocation data to the aeration condition data in the order of the control cycle to generate unabsorbed location data. The heat source branch output module is used to write the unabsorbed location data one by one into the current location data in the current control cycle according to the carbon debt allocation data, generate the location correspondence, and perform a coverage integrity judgment on the unabsorbed location data according to the current location data. If the integrity is determined, the location correspondence is output as the heat source branch data. Otherwise, the remaining unabsorbed location data will be written into the shifted location data one by one according to the carbon debt allocation data and then merged with the location correspondence to generate heat source branch data; The current location data is obtained by extracting the periodic occupancy relationship of the current control cycle from the heat source operating condition data; The shifted positioning data is obtained by extracting the period occupancy relationship of each control cycle after the current control cycle from the heat source operating condition data; The hierarchical control output module is used to assign and write the heat source branch data and the carbon debt allocation data to generate hierarchical control results.

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