Intelligent control system and method for air conditioner of transformer substation

Abstract

The application relates to the technical field of intelligent control, in particular to a transformer substation air conditioner intelligent control system and method, which comprises a perception and measurement module, a load identification module, a task unloading module, a path scheduling module and a control linkage module. In the application, air conditioner start-stop states and environmental data are collected and classified and fused, the recognition depth of the space environment is enhanced, the response matching capability of the control system to operation changes is improved, abnormal states in equipment operation are identified based on analysis of fan operation trajectories and compressor start-stop rhythms, the fault risk is reduced, light-load tasks with stable control periods, low execution frequencies and low resource occupancy are screened and suspended and transferred, dynamic allocation of task resources is optimized, control paths are dynamically matched according to current load conditions of the equipment, the stability of system regulation and the operation cooperativeness are enhanced through integration of control instructions, linkage of air speed regulation and cold and hot output control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control, and particularly relates to a substation air conditioner intelligent control system and method. BACKGROUND

[0002] The technical field of intelligent control includes a collection of technologies that utilize sensing, judgment, and execution means to achieve autonomous adjustment of system operating states. The core content of this technical field is to automatically, optimize, or real-time control the operating state of a target object based on multi-source data or preset parameters through sensing, identification, analysis, and execution units. In an intelligent control system, key technical elements include control logic construction, execution command generation, state feedback collection, and parameter adaptive update. This field is widely applied in energy management, environmental regulation, industrial equipment operation, and other scenarios, embodying the integration of control strategies and the closed-loop optimization of operating mechanisms. Systematically, intelligent control covers multiple stages such as data acquisition, signal analysis, control strategy design, and command execution, and its design needs to balance response speed, control accuracy, and operating stability.

[0003] Among them, the substation air conditioner intelligent control system refers to a control device system used to adjust the temperature and humidity environment state inside the substation, which covers the judgment of air conditioning equipment operating state, real-time monitoring of temperature and humidity environment, energy consumption data collection and analysis, and output generation of control commands. Specifically, by deploying temperature and humidity sensors to obtain environmental data, logical judgment rules are constructed in combination with time period, load change, etc., and then the start-stop state and operating parameters of the air conditioning equipment are determined using the control command generation mechanism. The system internally sets the control instruction execution sequence and feedback mechanism to complete the coordinated control operation of multiple devices, including environmental data collection rule setting, device control strategy construction, control logic trigger condition setting, and control process instruction management.

[0004] The existing technology of environmental data collection is usually limited to basic temperature and humidity monitoring, lacking comprehensive analysis of spatial distribution characteristics, resulting in insufficient environmental adaptability and control accuracy. The identification of device state is mainly focused on basic start-stop control, lacking in-depth analysis of operating behavior, which easily overlooks the abnormal operating state of the device, increasing the failure rate and maintenance demand of the system. Task scheduling often relies on static control strategies, failing to effectively consider the real-time load matching of tasks and devices, leading to uneven resource allocation and low efficiency. Control logic is mostly based on preset parameters, failing to fully utilize real-time data feedback, causing the system to exhibit large response lag and insufficient control accuracy when responding to temperature and humidity changes or load fluctuations, affecting the overall performance and stability of the air conditioning system. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and to provide a substation air conditioner intelligent control system and method.

[0006] In order to achieve the above object, the present application adopts the following technical scheme: a substation air conditioner intelligent control system comprises:

[0007] The perception measurement module reads the area air conditioner start-stop state, temperature and humidity data and combines and classifies them to obtain an operating area environment perception map through the environment probe and voltage detector arranged in the functional area of the substation control room.

[0008] The load identification module analyzes the operation rhythm of the fan and the compressor and the continuity of the control record based on the air conditioner nodes in the start control state in the operating area environment perception map, identifies the devices with frequent start, abnormal rhythm or response lag phenomenon, and obtains an operating pressure device distribution marking table.

[0009] The task unloading module reviews the control target and execution characteristics of the task segment based on the target device in the operating pressure device distribution marking table, filters out the stable control period and light load tasks, and obtains a task suspension and transfer list.

[0010] The path scheduling module synchronously matches the control chain tail space of the light load device based on the task content in the task suspension and transfer list, performs task mounting and updates the queue, and obtains an allocated task control path table.

[0011] The control linkage module links the device start-stop interface, wind speed instruction and cold and heat regulation terminal based on the operating area environment perception map and the allocated task control path table, integrates the control state, and obtains an air conditioner centralized control scheme.

[0012] As a further scheme of the present application, the operating area environment perception map comprises start-stop state data, environment condition data and space distribution information, the operating pressure device distribution marking table comprises frequent start device identification, rhythm abnormal device identification and response lag device identification, the task suspension and transfer list comprises a to-be-assigned task segment, a short period task segment, a stable air volume task segment and a slight temperature zone fluctuation task segment, and the allocated task control path table comprises path update records, task access registration information, control chain matching items and air volume response frequency items.

[0013] As a further scheme of the present application, the perception measurement module comprises:

[0014] The data acquisition submodule obtains the monitoring data of the corresponding detection device through the environment probe and voltage detector arranged in the functional area of the substation control room, extracts the original temperature value, humidity value and air conditioner power supply state flag of the monitoring point, and obtains an original environment monitoring data set.

[0015] The state reading submodule reads the air conditioner start-stop flag and corresponding temperature and humidity state based on the original environment monitoring data set, classifies the start control state and temperature and humidity characteristic value according to the equipment number identifier, and obtains start-stop state distribution information.

[0016] The region integration submodule synchronously integrates the air conditioner state data and environment information into a region field according to the region position based on the start-stop state distribution information, combines the data, and obtains a running region environment perception map.

[0017] As a further scheme of the present application, the load identification module comprises:

[0018] The state screening submodule extracts the equipment number and the corresponding region based on the equipment node in the start control state in the running region environment perception map, classifies the start control flag according to the equipment, and obtains a start control equipment region list.

[0019] The behavior extraction submodule reads the control record content of the corresponding equipment, records the fan running track, compressor state switching information and periodic control rhythm, and sequentially splices to generate a running behavior sequence set based on the start control equipment region list.

[0020] The abnormality marking submodule counts the start-stop frequency, rhythm variation frequency and control response interval of each equipment in a continuous time period, archives the equipment with high start-stop frequency, unstable rhythm or long response interval according to the region identifier based on the running behavior sequence set, and obtains a running pressure equipment distribution marking table.

[0021] As a further scheme of the present application, the task unloading module comprises:

[0022] The queue review submodule reads the equipment control task queue item by item, arranges and extracts the environmental target item, air volume setting state and control rhythm paragraph in the task segment, and generates a task structure attribute list based on the record equipment in the running pressure equipment distribution marking table.

[0023] The task screening submodule calculates the number of temperature zone target change segments of each task, filters the task segment with single temperature zone or stable change amplitude, and simultaneously makes the control rhythm short and the air volume setting without sharp fluctuation based on the task structure attribute list, and obtains a unloadable task segment set.

[0024] The buffer suspension submodule sets the filtered task to a to-be-assigned state and moves it into a scheduling buffer based on the unloadable task segment set, and marks the original equipment number information, and obtains a task suspension and transfer list.

[0025] As a further scheme of the present application, the calculation formula of the number of temperature zone target change segments of each task is specifically:

[0026]

[0027] wherein, P m represents the number of temperature zone target change sections of the mth task section, U m represents the total number of sampling points of temperature zone target setting of the mth task section, X qm represents the temperature zone target value of the mth task section at the qth sampling time point, Y represents the task state identification value at the end sampling time point of the mth task section, Y 1m represents the task state identification value at the start sampling time point of the mth task section.

[0028] As a further scheme of the present application, the path scheduling module comprises:

[0029] The idle matching sub-module reads the device queue currently in idle or light load based on each task section in the task suspension and transfer list, compares and screens the device number and the current task carrying state to obtain an idle device mapping list;

[0030] The structure analysis sub-module extracts the current control chain structure of the device based on the idle device mapping list, calculates the duration value of the continuous empty section in the control chain, analyzes the empty position in the task structure, matches and screens the air volume response frequency and the empty section duration to obtain a mounted task path distribution table;

[0031] The path registration sub-module marks the mounting action of each task section based on the mounted task path distribution table, accesses the tail of the corresponding device control sequence, and registers the new task chain information to obtain a deployed task control path composition table.

[0032] As a further scheme of the present application, the calculation formula of the duration value of the continuous empty section in the control chain is specifically:

[0033]

[0034] wherein, T seg represents the duration value of the continuous empty section in the control chain, L i represents the time length of the ith empty section, W i represents the mounting weight coefficient of the ith task section, V i represents the temperature setting difference before and after the ith task section, V g represents the average value of the temperature setting difference of all task sections, E avg represents the average execution step number of the task section in the control chain, G cur represents the wind speed response time delay in the current control chain, G ref represents the standard reference wind speed response time delay, and n is the total section number of the continuous empty section.

[0035] As a further scheme of the present application, the control linkage module comprises:

[0036] The state extraction submodule extracts the current temperature and humidity variation trend, the control path start-stop state and the task distribution situation based on the running area environment perception map and the configured task control path table, integrates key fields according to areas, and obtains a control area running element set.

[0037] The matrix construction submodule analyzes the temperature and humidity trend direction, the path activation frequency and the task distribution density based on the control area running element set, and performs numerical cross matching in combination with the start-stop state and the wind speed response situation to obtain a regional control scheduling matrix.

[0038] The instruction issuing submodule links and controls the start-stop interface, the wind speed instruction port and the regulation control device of the air conditioning equipment in the control area based on the regional control scheduling matrix, arranges control signals and outputs configurations to obtain an air conditioning centralized control scheme.

[0039] A substation air conditioner intelligent control method, comprising the following steps:

[0040] S1: Obtain the data of the environmental probe and the voltage detector arranged in the substation control room, read the air conditioner start-stop state, temperature and humidity, combine and aggregate according to the function area number, and obtain a running area environment perception map;

[0041] S2: Based on the device nodes marked as start control state in the running area environment perception map, extract the fan operation trajectory, compressor switching record and cycle rhythm, analyze and filter the devices with rhythm abnormal response lag, and obtain a running pressure device distribution marking table;

[0042] S3: Based on the target device in the running pressure device distribution marking table, call the control content in the task queue, check the temperature zone target, air volume setting and rhythm information, filter out short period and slightly fluctuating task segments, and obtain a task suspension and transfer list;

[0043] S4: Based on the task segment in the task suspension and transfer list, read the information of the last segment of the device queue in the idle or light load state, match and mount the empty position and control rhythm, update and register the control path, and obtain a configured task control path table;

[0044] S5: Based on the running area environment perception map and the configured task control path table, call the air conditioner start-stop interface state, the wind speed regulation signal and the regulation terminal output condition, combine the current environmental fluctuation trend and the control task distribution, sort the control state and the rhythm, and obtain an air conditioner centralized control scheme.

[0045] Compared with the prior art, the present application has the following advantages and positive effects:

[0046] In the present application, by collecting the air conditioner start-stop state and environmental data and classifying and fusing, the recognition depth of the space environment is enhanced, the response matching ability of the control system to the operation change is improved, based on the analysis of the fan operation trajectory and the compressor start-stop rhythm, the abnormal state in the device operation is identified, the fault risk is reduced, the light load task with stable control cycle, low execution frequency and less resource occupation is screened and controlled, and the dynamic allocation of task resources is optimized, the control path is dynamically matched according to the current load condition of the device, the stability and operation of the system are enhanced by integrating the control instructions, and the stability and operation of the system are enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The system flowchart of the present application is shown in the figure.

[0048] Figure 2 The system block diagram of the present application is shown in the figure.

[0049] Figure 3 The method step flowchart of the present application is shown in the figure. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0051] In the description of the present application, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0052] Please refer to Figure 1 A substation air conditioner intelligent control system comprises:

[0053] The sensing and determining module obtains the detection data of the environmental probe and voltage detector arranged in the functional area of the substation control room, continuously reads the current air conditioner start-stop flag, temperature and humidity state symbol, and combines the data according to the area position, and summarizes the data set with start-stop state, environmental condition and spatial distribution to obtain the running area environment perception map;

[0054] The load identification module identifies the equipment in the running area environment perception map based on the equipment nodes in the start control state, enters the control record section in the node, analyzes the behavior continuity of the fan running track, the compressor state switching information and the periodic control rhythm record item, identifies the equipment with frequent start, abnormal rhythm or response lag phenomenon, archives by area, and obtains a running pressure equipment distribution marking table;

[0055] The task offloading module offloads the control tasks based on the recorded equipment in the running pressure equipment distribution marking table, reviews the control task queue item by item, checks the environmental target item, the air volume setting state and the control rhythm paragraph of each task segment, filters and removes the task segment with short period, stable air volume and slight temperature zone fluctuation, sets the to-be-assigned state, adds the scheduling buffer, obtains a task suspension and transfer list, and adds the scheduling buffer;

[0056] The path scheduling module schedules the path based on each task segment in the task suspension and transfer list, synchronously reads the equipment queue currently in idle or light load in the substation, analyzes the empty position in the task structure, the current control chain state and the air volume response frequency, performs path update and task access registration after item matching is mounted, obtains an allocated task control path composition table, and adds the scheduling buffer.

[0057] The control linkage module links the start and stop interfaces, the air speed instruction and the cold and hot adjustment terminals of the equipment based on the running area environment perception map and the allocated task control path composition table, generates a control state matrix based on real-time changes, path updates and task distribution, and obtains an air conditioner centralized control scheme.

[0058] The running area environment perception map includes start and stop state data, environmental condition data and spatial distribution information. The running pressure equipment distribution marking table includes frequent start equipment identification, rhythm abnormal equipment identification and response lag equipment identification. The task suspension and transfer list includes to-be-assigned task segment, short period task segment, stable air volume task segment and slight temperature zone fluctuation task segment. The allocated task control path composition table includes path update record, task access registration information, control chain matching item and air volume response frequency item. The air conditioner centralized control scheme includes control state matrix, equipment start and stop interface instruction, air speed control instruction and cold and hot adjustment terminal command.

[0059] Please refer to Figure 2 , the perception determination module includes:

[0060] The data acquisition submodule obtains the monitoring data of the corresponding detection device through the environmental probe and voltage detector arranged in the functional area of the substation control room, extracts the original temperature value, humidity value and air conditioner power supply state flag of the monitoring point, and obtains an original environmental monitoring data group.

[0061] First, the temperature and humidity and power supply state are single-point read and assembled, the environmental probe is installed on the wall, elevated equipment support structure and air duct end outlet of each air conditioning control area, when collecting temperature data of each point, the resistance change value of the thermistor sensor is obtained in each sampling period, the current resistance value is converted to Celsius temperature reading through the built-in conversion circuit, for example, during the morning peak period, the resistance of the wall probe in area A corresponds to a reading of 26.8°C, the humidity probe at the same position obtains the capacitance response value by sensing the change of the capacitance spacing, and the current environmental humidity of 72% is calculated and written into the cache area as the environmental data item of the monitoring point, the voltage detector monitors the power supply line of the air conditioner by continuous sampling, and obtains whether the corresponding current is in the power-on state, the power-on determination is set to 2.5 amperes, and when the actual reading is equal to or higher than the value, it is marked as "power on", otherwise it is marked as "power off", the above three values are assembled by reading the time stamp and monitoring point number, and the data item identification package is obtained for each reading period, for example, the detection point of area A number A01 records temperature of 26.8°C, humidity of 72%, and power supply state of power on at 8:00:10, forming a group of original data, the data records are combined in time sequence and regional priority order, the data formed by each sampling point is connected and arranged to obtain the original environmental monitoring data group.

[0062] The state reading submodule reads the air conditioner start-stop flag and the corresponding temperature and humidity state based on the original environmental monitoring data group, classifies the start-stop state according to the device number identification, and obtains the start-stop state distribution information;

[0063] First, the data field related to the air conditioner power supply state in each record is extracted, which is marked as "1" or "0" according to the on-off condition, wherein "1" represents the current use state, and "0" represents the stop state, the field content is extracted in sequence according to the device number to form a start-stop state queue, for example, devices numbered B05 and B06 record 1, 1, and 0 in three consecutive sampling periods, respectively, then it is identified that B05 is currently in continuous start control state, and B06 is in interrupted state, then the temperature and humidity field content in each data is read, the temperature field value is provided by the thermistor probe corresponding to the sampling point, if the value is less than 18 degrees Celsius and the humidity field is greater than 80%, the state is marked as cold and wet, if the temperature is higher than 28 degrees Celsius and the humidity is less than 40%, it is marked as hot and dry, and the rest is marked as normal temperature state, the above state information is indexed by device number, the fields are merged and the state structure item is formed, each structure item consists of three parts, namely the current start-stop flag, the temperature and humidity state category, and the device number identification, which is uniformly packaged in the form of A03 start-heat and B04 stop-cold, all structure items are classified into a state distribution table after packaging, sorted by device number, and the start-stop state distribution information of all control area air conditioning devices is obtained.

[0064] The regional integration submodule synchronizes the air conditioner state data and the environmental information into the regional field according to the region position based on the start-stop state distribution information, and combines the data to obtain an operation region environment perception map.

[0065] First, the equipment number identifier in each record and the corresponding start-stop state and temperature and humidity state are extracted, the prefix character in the number is taken as the basis for regional attribution, the number starts with a capital English letter, for example, A represents A zone, B represents B zone, then all equipment with the same prefix are attributed to the same zone, the data item content is extracted in sequence according to the number order, the three parts of information in the state structure item of each equipment are sequentially disassembled, the start-stop state is marked by a binary bit, the temperature and humidity state is marked by a word state identifier as cold and wet, hot and dry, or normal temperature, and then the three are combined into a four-field structure with the equipment number and the regional field, for example, for A zone, the A01 equipment state is enabled-cold and wet, which corresponds to the field A01-1-cold and wet-A zone, after the aggregation of each region is completed, the total number of equipment in the enabled state in the region is extracted by sorting and comparing the equipment states, and the total number of all equipment in the region is extracted, the control ratio is calculated and judged, the judgment standard is set as follows: if the control ratio exceeds 50%, the region is marked as a high load section, if it is less than 30%, it is marked as a low load section, and if it is between 30% and 50%, it is marked as a normal operation section, then the frequency distribution of the temperature and humidity state is counted, when the cold and wet state equipment ratio exceeds 60%, the environment state of the region is recorded as cold, when the hot and dry state equipment exceeds 60%, the environment state of the region is recorded as hot, and if the three state distributions are balanced, the region is marked as stable, finally, the start-stop state of each region is combined, the temperature and humidity state structure is integrated, and the regional load distribution and environmental feature label are nested and combined to form a single record unit, each unit represents a complete regional information group, multiple regional information groups are combined, and an operation region environment perception map is obtained.

[0066] Please refer to Figure 2 , the load identification module comprises:

[0067] The state screening submodule extracts the equipment number and the corresponding region based on the equipment nodes in the start-stop state in the operation region environment perception map, and attributes the start-stop flag to the corresponding regional field to obtain a start-stop equipment region list;

[0068] Read the start-stop state field one by one, perform number extraction operation on the record item with field value "1", the number value is the unique identification code of the device, which is composed of prefix letters and number sequence, the prefix part represents the area to which the device belongs, and the number part is the specific number of the device in the area, for example, the number C07 represents that the device is located in the C area and the serial number is 07, then the devices with state field value "1" are classified, all records with this value are packaged and distributed to the area field to which they belong, forming a start control device grouping list in the unit of area, when the devices numbered C01, C03 and C07 in the C area are all in the enabled state, the system will generate entries C01-enabled, C03-enabled and C07-enabled under the C area field, all area fields are uniformly named and sorted, and are organized in the order of area letters and device numbers, and each record is additionally attached with a collection timestamp to form a complete field, for example, 2021-04-24 08:05-C03-enabled-C area, the encapsulated record is added to the start control list buffer, all record structures in the buffer are fixed to five fields, namely time, device number, state, area and state identifier, after the structure is arranged, the number of start control devices in each area is summarized to generate the total number of start control devices in the corresponding area, and is summarized and displayed in the start control device area list in the form of area segmentation, and the final output result item displays the specific number and quantity information of the start control device under each area, which can be directly matched with the task scheduling and path allocation module in the subsequent step to form a start control state source list for calling, and the start control device area list is obtained.

[0069] The behavior extraction submodule reads the control record content of the corresponding device based on the start control device area list, records the fan running track, compressor state switching information and periodic control rhythm, and performs sequential splicing to generate a running behavior sequence set;

[0070] First, the fan operation trajectory is extracted, and the start-stop time points, running duration, and rest interval length of the equipment are arranged according to the time axis. For a device numbered A05, if the record shows that it starts at 08:00, stops at 08:01:30, starts again at 08:03, and stops at 08:04, the corresponding fan trajectory record is two independent runs, each lasting 90 seconds and 60 seconds, with a rest interval of 90 seconds and 60 seconds. Then the state switching information of the compressor is read, and the on-off instruction response time points in each running period are sorted and compared. The number of continuous start-stop times and the duration of each state change are recorded. For A05 device, if the compressor starts and stops 7 times during 08:00-08:10, and 3 of them have an adjacent start-stop interval less than 30 seconds, it is classified as a high-frequency switching record. Then the cycle control rhythm record item is extracted, and the set value change time point and response value fluctuation time point are compared. For example, the air volume of A05 device is set to 40% at 08:00, 60% at 08:05, and 50% at 08:10. The environmental feedback shows that the wind speed changes at 08:01, 08:06, and 08:11, with a 60-second lag in each response. The response behavior is recorded as three lag rhythms. Then the above three types of data are spliced and combined into a behavior sequence in chronological order, which contains fan running segment start-stop, stop interval, compressor state switching sequence, and rhythm response segment identification. Each sequence is attached with a time stamp, device number, and area location identification. The behavior sequences of multiple devices in the same area are arranged and written into a behavior sequence set document to construct a complete time dimension device behavior continuous running record and generate a running behavior sequence set.

[0071] The abnormality marking sub-module is based on the running behavior sequence set, and counts the start-stop times, rhythm variation frequency, and control response interval of each device in the continuous time period. The devices with high start-stop frequency, unstable rhythm, or long response interval are archived according to the area identification to obtain the running pressure device distribution marking table.

[0072] First, read the number of start-stop times in the continuous operation period of the device, obtain the total number of start-stop times by counting the number of adjacent running sections, for example, device A02 occurs 8 times in 08:00-08:20, among which the start-stop events with a time interval less than 90 seconds between adjacent running sections are 6 times, such devices are classified into high frequency start-stop category, the judgment standard is that the start-stop times per 20-minute period are more than 6 times, that is, marked as high frequency state, then the rhythm change frequency is compared and processed, the number of times of compressor set value change and the number of times of wind speed and temperature fluctuation in actual response feedback are extracted, if the set value adjustment is more than 5 times in 30 minutes but the number of times of feedback parameter change is less than 3 times, it is recorded as unstable rhythm state, in the actual case, device B03 modifies the air volume setting 6 times in 08:00-08:30, but the environmental feedback parameter changes only at 3 response points, so the device rhythm control is unstable, then the control response time interval field of each device record is extracted, the time of each control signal sending and the corresponding response time are subtracted, when any response interval is greater than 120 seconds, it is marked as response lag, for example, device C05 sends the wind speed increase instruction at 08:10, the actual wind speed change record is at 08:12:30, with a delay of 150 seconds, which is classified as a long response interval device, the above three types of marks are attached with exception type codes, respectively F01 represents high frequency start-stop, F02 represents unstable rhythm, and F03 represents long response interval, each abnormal device takes device number, exception code, record time and area number as fields, generates four-field exception record items, and is archived according to area number, all abnormal device data is uniformly arranged, the record format is fixed as "2021-04-24 08:30, B03, F02, B zone", all abnormal device record items in the same area are summarized to obtain the running pressure device distribution marking table.

[0073] Please refer to Figure 2 , the task offloading module comprises:

[0074] The queue review sub-module reads the device control task queue item by item based on the recorded devices in the running pressure device distribution marking table, arranges and extracts the environmental target item, air volume setting state and control rhythm paragraph in the task section, and generates a task structure attribute list;

[0075] The current control task queue of the device is read item by item, the environmental target item in each task segment is extracted first, it is judged whether the target temperature range and humidity interval corresponding to the field exist single or double constraints, for example, the environmental target of the task segment numbered D03 is set to 23℃±1℃ and relative humidity is not higher than 60%, the extracted field content is temperature range 22℃ to 24℃ and humidity upper limit 60%, then the air volume setting state field is read, it is checked whether it is a fixed air volume value or a multi-segment adjustment over time, if the task segment is set to air volume 40%, 40%, 45%, 50% distributed in the next 4 5-minute segments in sequence, the state is classified as a multi-segment incremental setting type, the task control rhythm paragraph is unfolded, the control instruction issuing time point and the air speed response recording time point are extracted segment by segment, the rhythm delay time is obtained by calculating the difference between the two time points, and the setting value change frequency in each rhythm segment is further counted, for example, the setting value is adjusted 3 times in 15 minutes in a certain task segment, the control rhythm change frequency is 0.2 times / minute, the above three kinds of information are integrated into task structure attribute items in turn, each item contains three fields, respectively "environmental target setting structure", "air volume state description" and "rhythm change parameter", the task segment number, device number and the above three parameters are combined to generate a complete task attribute list, for example, the attribute record of task T17 under D03 device is T17-D03-【22-24℃, ≤60%】-

multi-segment incremental

[0076] The task screening submodule calculates the number of temperature zone target change segments of each task based on the task structure attribute list, screens the task segments with single temperature zone or stable change amplitude, and obtains a set of unloadable task segments with short control rhythm and no dramatic air volume setting fluctuation.

[0077] The calculation formula of the number of temperature zone target change segments of each task is as follows:

[0078]

[0079] Among them, P m represents the number of temperature zone target change segments of the mth task, U m represents the total number of sampling points of the temperature zone target setting of the mth task, X qm represents the temperature zone target value at the qth sampling time of the mth task, represents the task state identification value at the end sampling time of the mth task, Y 1m represents the task state identification value at the start sampling time of the mth task.

[0080] Suppose the data is as follows:

[0081] Four sampling points, X qm= 300, 305, 310, 320, Y Um = 0, Y 1m = 1;

[0082] U m = 4, the target value of the temperature zone is 300, 305, 310, 320, the state identifier starts at 0 and ends at 1;

[0083] The calculation of the change is

[0084]

[0085] The total change summation is: |305-300|+|310-305|+|320-310|=5+5+10=20;

[0086] The state identifier change quantification is: 1 (the state changes from 0 to 1);

[0087] The overall target change standardization is:

[0088] The calculation result is brought into the formula:

[0089]

[0090] The result shows that in the given task segment, the number of temperature zone target change segments is 5, indicating that the target temperature zone change of this task segment is relatively frequent, but the change amplitude is relatively stable, which is suitable for further analysis to determine whether part of the task can be unloaded.

[0091] The buffer suspension sub-module sets the screened task to a to-be-assigned state and moves it into the scheduling buffer based on the set of unloadable task segments, and at the same time marks the original device number information, obtaining a task suspension and transfer list;

[0092] First, the task segment that meets the three conditions of short cycle, stable air volume setting, and slight rhythm fluctuation is screened out, wherein the short cycle is defined as the task execution time being less than 15 minutes, the stable air volume setting refers to the air volume change being not more than 2 grades, and the slight rhythm fluctuation refers to the response delay between the setting and the feedback being not more than 30 seconds. Taking the task T21 as an example, the running cycle is 12 minutes, the air volume change is 45%-45%-50%, and the response time difference is 20 seconds, so it is judged that it meets the suspendable standard, the task segment state field is modified to "to be distributed", and is added to the scheduling buffer area, a new entry record T21 task segment is added in the buffer area registration table, and the original device number field D04 is added. The task segment field adopts a five-field structure description, including the task number, the original device number, the state field, the entering buffer time, and the structure label. The structure label is derived from the task structure attribute list content, for example, the short cycle mark is SC, the stable air volume mark is VF, and the slight fluctuation mark is SR. The final task record item is T21-D04-to be distributed-2021-04-2408:50-

SC, VF, SR

[0093] Referring to Figure 2 , the path scheduling module comprises:

[0094] The idle matching sub-module reads each task segment in the task suspension and transfer list, compares and filters the device number and the current task carrying state based on the device queue that is currently idle or lightly loaded, and obtains an idle device mapping list;

[0095] Read the task segment number, original equipment number and to-be-assigned state label in sequence, combine the equipment running state monitoring record in the current period, extract the equipment number set in idle or light load state, the idle equipment determination standard is no task execution record in the past 30 minutes, the light load state is defined as the current task load rate is lower than 30%, the load rate is calculated based on the task occupation time and the equipment executable period ratio, if the equipment E08 only runs two tasks during 08:00-08:30, the duration of each task is 3 minutes and 4 minutes respectively, the total occupation time is 7 minutes, the proportion is 7 / 30, about 23%, then E08 is identified as a light load equipment, all equipment numbers meeting the idle or light load standard are included in the comparison queue, then the equipment availability screening is carried out for each record in the suspended task segment, if the original binding equipment of a task segment T32 is D12, the equipment is currently in a high load state, and is not continued to be mounted, then the number items in the empty equipment queue are compared, the current idle state is judged first, and then the current task execution number is judged whether it is lower than 1, if any condition is met, the initial selection result is entered, the candidate equipment is sorted in ascending order of load rate, the lowest load rate is selected as the recommended target equipment, and the original number, current task number, load rate value and region number are marked, for example, the final matching equipment of task T32 is E08, the record result is T32-E08-task number: 1-load rate: 23%-B area, this structure is written into the empty mapping record item, and the empty equipment mapping list is obtained.

[0096] The structure analysis submodule extracts the current control chain structure of the equipment based on the empty equipment mapping list, calculates the duration value of the continuous empty segment in the control chain, analyzes the empty position in the task structure, matches and screens the air volume response frequency and the empty segment duration, and obtains the mounted task path distribution table;

[0097] The calculation formula of the duration value of the continuous empty segment in the control chain is as follows:

[0098]

[0099] Wherein, T seg represents the duration value of the continuous empty segment in the control chain, L i represents the time length of the i-th empty segment, W i represents the mounting weight coefficient of the i-th task, V i represents the temperature setting difference before and after the i-th task, V g represents the average value of the temperature setting difference of all task segments, E avg represents the average execution step number of the task segment in the control chain, G cur represents the wind speed response time delay in the current control chain, G ref represents the standard reference wind speed response time delay, and n is the total number of continuous empty segments.

[0100] Assume the values as follows:

[0101] L i = 2 minutes, W i = 1.0, V i = 5℃, V g = 4℃, E avg = 15 steps, G cur = 0.8 seconds, G ref = 0.5 seconds;

[0102] Formula calculation derivation process:

[0103] Calculate the absolute value of the temperature difference, for the first segment task:

[0104] |V1-V g | = |5-4| = 1℃;

[0105] Calculate the first term of the molecule:

[0106] L1+W1·|V1-V g | = 2+1.5·1 = 3.5 minutes;

[0107] Assume there are three segments, which get 3.5 minutes, 4.0 minutes, and 3.8 minutes respectively.

[0108] Sum of the molecule:

[0109]

[0110] Calculate the absolute value in the denominator:

[0111] |G cur -G ref | = |0.8-0.5| = 0.3 seconds;

[0112] Denominator calculation:

[0113]

[0114] The result shows that the average duration of consecutive empty segments in the control chain is 5.33 minutes, reflecting the idle time and efficiency of the current control system in processing tasks. This value has direct significance for evaluating the efficiency of the system and optimizing task scheduling.

[0115] The path registration submodule marks each task segment based on the mounted task path distribution table, accesses the tail of the corresponding device control sequence, and registers new task chain information to obtain the allocated task control path composition table;

[0116] First, the modification operation of the task segment state field is performed to update the state from "to be allocated" to "mounted", and record the device number, task access sequence number and access time in the mounting marker field. For example, task T51 is allocated to device G07, which is the current 3rd task for the device, and the field is set to G07-3-

[0117] 10:25, then read the control sequence tail information in the current task queue structure of the device to obtain the end time of the last task, for example, the end time of the last task T49 of the device is 10:20, then the access start time of the new task T51 should be set to 10:21 to avoid task conflict, the access position field is set to "tail addition", and the control parameters of the accessed task segment are confirmed, the wind volume set value, environmental target requirement and rhythm response configuration are extracted, and these parameters are written into the device control chain structure to build the complete task control chain segment content. The control chain segment consists of four parts, namely task number, control parameter combination, access time and scheduling priority. The scheduling priority is determined by the task type and response rhythm. If T51 belongs to a stable task and the rhythm response time is less than 30 seconds, the priority is set to medium. The task control chain segment is connected to the end of the device G07 control structure, the source field of this task chain update action is recorded as "path registration", and the change number is generated for tracking the evolution of the task process. The change number structure is T51-G07-1025-R1. After all task segments are updated, they are written into the unified task control path composition table. This table groups according to device number, records all the composition information of the current task chain of each device, control sequence structure and access update record, and obtains the allocated task control path composition table.

[0118] Please refer to Figure 2 , the control linkage module includes:

[0119] The state extraction submodule extracts the current temperature and humidity change trend, control path start-stop state and task distribution of the control area based on the running area environment perception map and the allocated task control path composition table, integrates the key fields according to the area, and obtains the control area running element set;

[0120] First, the list of devices labeled "enabled" in the current period is screened out in the perception atlas, classified by region number, and the latest three temperature and humidity records are extracted for each device. The temperature change rate and humidity change rate are calculated, and the change trend direction and intensity are obtained by subtracting the adjacent two values and dividing by the sampling interval. The temperature change amplitude is set to ±1.5 degrees Celsius per 10 minutes, and the humidity change amplitude is set to ±8% relative humidity per 10 minutes. If it exceeds this range, it is determined to be a rapid change, and if it is within the range, it is determined to be a stable state. After completing the trend judgment, the results are labeled with symbols such as "temperature rise" and "humidity drop" and recorded in the device attribute table. Then, the task control path configuration table is entered, and the task chain information for each device is read. The total number of tasks, task access time, and control command start-stop state are extracted. For example, device E12 currently has 3 tasks, with task access times of 10:20, 10:28, and 10:34, and the first two tasks are active, while the last task has not been enabled. The device start-stop state is "partially enabled". The task distribution is divided according to the task density, which is calculated by dividing the number of tasks by the current active time length. For example, from 10:20 to 10:40, there are 3 tasks, so the density is 0.15 tasks per minute. The comparison standard is set as follows: density less than 0.1 is sparse, 0.1-0.3 is regular, and greater than 0.3 is dense. The task density of E12 is marked as regular. After completing the task state extraction, the temperature and humidity change symbols, control path start-stop state, and task density level of the device are combined into the running state group field. The field structure is device number, region number, temperature and humidity state, control state, and task density. An example is "E12-F zone-temperature rise-partially enabled-regular". All state groups are integrated and summarized by region to obtain the control zone running element set.

[0121] The matrix construction submodule analyzes the temperature and humidity trend direction, path activation frequency, and task distribution density based on the control zone running element set. It performs numerical cross-matching with the start-stop state and wind speed response to obtain the regional control scheduling matrix.

[0122] First, read the temperature trend and humidity trend field of each control area, assign +1 and -1 to the temperature rise and humidity drop marks respectively, and mark 0 for stable. The value is used as the temperature and humidity trend direction term, and is preliminarily mapped with the task density. The temperature and humidity weight adjustment ratio is set to 1.2 for dense task area, and 0.8 for sparse task area. The corrected value of temperature and humidity trend direction is obtained after adjustment. Then read the activation frequency data in the corresponding device control path. The activation path ratio in unit time is calculated to obtain the start-stop frequency value. For example, the start-stop record of device G02 in the task control path in the past 10 minutes is 5 times, and the total path segment number is 10. The path start-stop frequency is 50%. If the frequency is higher than 60%, it is marked as high frequency, 30%-60% is medium frequency, and lower than 30% is low frequency. After marking the frequency level of each path state, the modified trend value is judged. If a device is in the temperature rise trend correction value of +1.2 and the path frequency is high, it is classified as a load intensive area. Then read the current wind speed response field of each device. Compare the set air volume and feedback air speed to get the average difference. If it is within ±5%, it is marked as normal response, otherwise it is marked as delayed or over-response. The response result is combined with the task density to judge the execution state level. The path frequency, wind speed response and task density are converted to integer identification items through a three-dimensional correlation table, where high frequency + normal response + dense is "7", medium frequency + response delay + sparse is "3". Each combination result corresponds to a unique matrix value. Then combine the device number with the corresponding matrix value and record it. Rearrange the matrix according to the control area number. Arrange F01 to F08 in F area horizontally, and vertically for the current time scale. After filling all the values, the matrix construction is completed. Finally, each control area matrix structure is packaged into a standard format. The field structure includes time, device number, temperature and humidity trend value, start-stop frequency level, wind speed response state and matrix value code. The results of multiple control areas are integrated and output to obtain the area control scheduling matrix.

[0123] The instruction issuing sub-module controls the start-stop interface, wind speed instruction port and adjustment control device of the air conditioning equipment in the control area based on the area control scheduling matrix, compiles control signals and outputs configurations, and obtains the centralized control scheme of the air conditioner.

[0124] First, the matrix value is bound to the task control logic, for example, the value code "7" represents high frequency start-stop, normal wind speed response and task-intensive, and the corresponding generated start-stop control signal is "continuous operation", the wind speed adjustment instruction is "maintain the set value", and the adjustment control instruction is "intermittent air volume adjustment". For the value code "3" of the device, it means that the path frequency is moderate, the response is delayed, and the task is sparse, so the corresponding control action is "intermittent operation", the wind speed is reduced to 90% of the set value, and the "cold load release" instruction is issued by the adjustment device. The matrix value of all devices in each region after translation forms a device control action list, and each list structure contains device number, target start-stop state, wind speed target value and adjustment mode fields. Then write each list to the control signal generation task pool. For the device with "continuous operation" in the start-stop state field, generate a continuous enable signal code and write it to the device start-stop interface. The code format is set as device number suffix + state bit, for example F03-ON. The wind speed control instruction field is written to the wind speed instruction port, and the instruction value is set to a percentage value. If device G05 needs to adjust the wind speed to 60%, generate the command instruction G05-F60, and set G05-M3 to mode three on the adjustment control port, indicating slow warming control. All instructions are sorted by device number and then unified into the control scheduling cache queue. According to the time stamp grouping, form the control batch, record the corresponding instruction set and the preset control duration in each batch, and estimate the control duration according to the task setting period and response frequency. For example, if the task period is 15 minutes and the device response interval is 2 minutes, the control duration is set to 17 minutes. Finally, all control batches are packaged into control instruction sets by the instruction converter, and the configuration file format is CSV structure. The field content is time, region, device number, start-stop command, wind speed set value and adjustment instruction in turn. After packaging, upload to the instruction publishing interface, and output uniformly to get the centralized control scheme of air conditioning.

[0125] Please refer to Figure 3 A substation air conditioner intelligent control method, comprising the following steps:

[0126] S1: Obtain the environmental probe and voltage detector data of the substation control room layout, read the air conditioner start-stop state, temperature and humidity, and combine and summarize according to the function area number to obtain the running area environment perception map;

[0127] S2: Based on the device nodes marked as start control state in the running area environment perception map, extract the fan running track, compressor switching record and cycle rhythm, analyze and select the devices with abnormal rhythm response lag, and obtain the running pressure device distribution marker table;

[0128] S3: Based on the target equipment in the running pressure equipment distribution marking table, the control content in the task queue is called, the temperature zone target, air volume setting and rhythm information are reviewed, short period and slight fluctuation task segments are screened out, and the task suspension and transfer list is obtained;

[0129] S4: Based on the task segment in the task suspension and transfer list, the information of the last segment of the equipment queue in the idle or light load state is read, the empty position and control rhythm are matched and mounted, the registered control path is updated, and the allocated task control path table is obtained;

[0130] S5: Based on the running area environment perception map and the allocated task control path table, the air conditioner start-stop interface state, the air speed adjustment signal and the adjustment terminal output condition are called, the current environment fluctuation trend and the control task distribution are combined, the control state is sorted and the rhythm is sorted, and the air conditioner centralized control scheme is obtained.

[0131] The above is only a preferred embodiment of the present application, and does not limit the form of the present application, any skilled person in the art can use the disclosed technical content to make changes or modifications as equivalent embodiments applied to other fields, but any simple modification, equivalent change and modification made on the basis of the technical essence of the present application to the above embodiments without departing from the technical solution content of the present application still belongs to the protection scope of the technical solution of the present application.

Claims

1. An intelligent control system for substation air conditioning, characterized in that: The system comprises: The sensing and measurement module uses environmental probes and voltage detectors deployed in the functional area of ​​the substation control room to read the regional air conditioning start and stop status, temperature and humidity data, and combines and classifies them to obtain an environmental perception map of the operating area; The load identification module analyzes the continuity of the fan and compressor operation rhythm and control records based on the air-conditioning nodes in the start-up and control state in the operating area environmental perception map, identifies equipment with frequent startup, abnormal rhythm or delayed response, and obtains an operating pressure equipment distribution mark table; The task offloading module reviews the control objectives and execution characteristics of the task segments item by item based on the target devices in the operating pressure device distribution mark table, screens out tasks with stable control cycles and light loads, and obtains a task suspension and transfer list; The path scheduling module synchronously matches the tail vacancy of the control chain of the light-load device based on the task content in the task suspension and transfer list, mounts the task and updates the queue to obtain the control path table of the deployed task; The control linkage module links the equipment start / stop interface, wind speed instruction and hot / cold adjustment terminal based on the operating area environment perception map and the deployed task control path table, integrates the control status, and obtains the air conditioning centralized control plan; The operating area environmental perception map includes start-stop status data, environmental status data, and spatial distribution information. The operating pressure equipment distribution mark table includes frequent startup equipment identification, abnormal rhythm equipment identification, and response delayed equipment identification. The task suspension and transfer list includes task segments to be assigned, short-cycle task segments, stable air volume task segments, and temperature zone slight fluctuation task segments. The deployed task control path composition table includes path update records, task access registration information, control chain matching items, and air volume response frequency items. The air conditioning centralized control plan includes a control status matrix, equipment start-stop interface instructions, wind speed control instructions, and hot and cold adjustment terminal commands.

2. The substation air conditioning intelligent control system according to claim 1, characterized in that: The perception measurement module includes: The data acquisition submodule obtains the monitoring data of the corresponding detection devices through the environmental probes and voltage detectors deployed in the functional area of ​​the substation control room, extracts the original temperature and humidity values ​​and air conditioning power supply status signs of the monitoring points, and obtains the original environmental monitoring data group; The state reading submodule reads the air conditioner start / stop flag and the corresponding temperature and humidity status based on the original environmental monitoring data group, classifies the start / stop status and the temperature and humidity characteristic values ​​according to the equipment number identification, and obtains the start / stop status distribution information; Based on the start-stop status distribution information, the regional integration submodule synchronizes the air-conditioning status data and environmental information into regional fields according to regional locations, combines the data, and obtains an operating area environmental perception map.

3. The substation air conditioning intelligent control system according to claim 1, characterized in that: The load identification module includes: The state screening submodule extracts the device number and the area to which it belongs based on the device nodes in the start-up and control state in the operating area environment perception map, classifies the start-up and control flags into the corresponding area fields according to the devices, and obtains a list of start-up and control device areas; The behavior extraction submodule reads the control record content of the corresponding device based on the start-up and control device area list, records the fan operation trajectory, compressor state switching information and cycle control rhythm, and sequentially splices them to generate an operation behavior sequence set; Based on the set of operating behavior sequences, the abnormal marking submodule counts the number of starts and stops, rhythm change frequency and control response interval of each device in a continuous time period, and archives the devices with high start and stop frequency, unstable rhythm or long response interval according to regional identification to obtain the operating pressure equipment distribution marking table.

4. The substation air conditioning intelligent control system according to claim 1, characterized in that: The task offloading module includes: The queue review submodule reads the equipment control task queue item by item based on the recorded equipment in the operating pressure equipment distribution mark table, arranges and extracts the environmental target items, air volume setting status and control rhythm sections in the task segments, and generates a task structure attribute list; The task screening submodule calculates the number of temperature zone target change segments for each task based on the task structure attribute list, selects task segments with a single temperature zone or stable segment change amplitude, and at the same time makes the control rhythm short and the air volume setting without drastic fluctuations, to obtain a set of unloadable task segments. The buffer suspension submodule sets the screening tasks to a pending allocation state based on the set of unloadable task segments and moves them into the scheduling buffer, while marking the original device number information to obtain a task suspension and transfer list.

5. The intelligent control system for substation air conditioning according to claim 4, characterized in that: The calculation formula for the number of target temperature change sections for each task is as follows: ； in, Represents the number of temperature zone target change segments for the mth segment task, Represents the total number of sampling points for the target temperature zone setting of the mth mission, Represents the target value of the temperature zone at the qth sampling moment of the mth task, Represents the task status identification value at the end sampling time of the mth task, Represents the task status identification value at the start sampling moment of the mth task.

6. The intelligent control system for substation air conditioning according to claim 1, characterized in that: The path scheduling module includes: The idle matching submodule reads the device queue that is currently idle or lightly loaded based on each task segment in the task suspension and transfer list, compares and filters the device number with the current task load status, and obtains an idle device mapping list; The structure analysis submodule extracts the current control chain structure of the equipment based on the unloaded equipment mapping list, calculates the duration value of the continuous empty segments in the control chain, analyzes the free positions in the task structure, matches and filters the air volume response frequency with the empty segment duration, and obtains the mounting task path distribution table; The path registration submodule performs a mount action mark on each task segment based on the mount task path distribution table, accesses the tail of the corresponding device control sequence, and registers new task chain information to obtain a deployed task control path composition table.

7. The intelligent control system for substation air conditioning according to claim 6, characterized in that: The calculation formula for the duration of the continuous empty segments in the control chain is specifically: ； in, Represents the duration value of consecutive empty segments in the control chain, Representative The length of the empty segment, Representative The mount weight coefficient of the segment task, Representative The temperature setting difference before and after the segment task, Represents the average value of the temperature setting difference of all task segments, Represents the average number of execution steps of the task segment in the control chain, Represents the wind speed response delay in the current control chain, represents the standard reference wind speed response delay, The total number of consecutive empty segments.

8. The substation air conditioning intelligent control system according to claim 1, characterized in that: The control linkage module includes: The state extraction submodule extracts the current temperature and humidity change trend of the control area, the start and stop status of the control path, and the task distribution based on the operating area environment perception map and the deployed task control path composition table, integrates key fields by region, and obtains the control area operation element set; The matrix construction submodule analyzes the temperature and humidity trend direction, path activation frequency, and task distribution density based on the control area operation element set, and performs numerical cross-matching based on the start-stop status and wind speed response to obtain the regional control scheduling matrix; The instruction issuing submodule is based on the regional control scheduling matrix, links the start and stop interfaces, wind speed instruction ports and adjustment control devices of the air-conditioning equipment in the control area, arranges the control signals and outputs the configuration to obtain the centralized air-conditioning control plan.

9. A method for intelligent control of substation air conditioner, characterized in that: According to any one of claims 1 to 8, the intelligent control system for substation air conditioning is implemented, comprising the following steps: S1: Obtain data from environmental probes and voltage detectors deployed in the substation control room, read the air conditioner start / stop status, temperature, and humidity, and summarize them by functional area number to obtain an environmental perception map of the operating area; S2: Based on the device nodes marked as being in the start-up control state in the operating area environment perception map, extract the fan operation trajectory, compressor switching record, and cycle rhythm, analyze and filter the devices with abnormal rhythm response lag, and obtain an operating pressure device distribution mark table; S3: Based on the target device in the operating pressure device distribution tag table, the control content in the task queue is retrieved, the temperature zone target, air volume setting and rhythm information are checked, short-cycle and slightly fluctuating task segments are screened out, and a task suspension and transfer list is obtained; S4: Based on the task segments in the task suspension and transfer list, read the last segment information of the device queue in the idle or lightly loaded state, match the free position with the control rhythm, update the registered control path, and obtain the allocated task control path table; S5: Based on the operating area environmental perception map and the allocated task control path table, the air conditioner start / stop interface status, wind speed adjustment signal and adjustment terminal output are called, and the control status is sorted and rhythmically arranged in combination with the current environmental fluctuation trend and control task distribution to obtain a centralized air conditioner control plan.

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