Intelligent control system and method for air conditioner of transformer substation

Abstract

The invention relates to the technical field of intelligent control, in particular to an intelligent control system and method for a substation air conditioner, and the system comprises a sensing measurement module, a load recognition module, a task unloading module, a path scheduling module and a control linkage module. According to the method, the air conditioner start-stop state and the environment data are collected and classified and fused, the recognition depth of the space environment is enhanced, the response matching capacity of a control system to operation changes is improved, the abnormal state in equipment operation is recognized based on analysis of the fan operation track and the compressor start-stop rhythm, the fault risk is reduced, and the safety of equipment operation is improved. Light load tasks with stable control period, low execution frequency and less resource occupation are screened, suspension and transfer are implemented, dynamic allocation of task resources is optimized, a control path is dynamically matched according to the current load condition of equipment, and the control efficiency is improved by integrating control instructions and linking wind speed regulation and cold and hot output control. And the regulation and control stability and the operation collaboration of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly to an intelligent control system and method for a substation air conditioner. Background Art

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

[0003] Among them, the intelligent control system for a substation air conditioner refers to a control device system used to adjust the temperature and humidity environment state inside the substation, and its technical matters cover the judgment of the operating state of air conditioning equipment, real-time monitoring of the temperature and humidity environment, collection and analysis of energy consumption data, and generation of output control commands. Specifically, environmental data is obtained by deploying temperature and humidity sensors, and logical judgment rules are constructed in combination with information such as time periods and load changes. Then, the start-stop state and operating parameters of the air conditioning equipment are determined using the control command generation mechanism. Inside the system, the coordination control operation of multiple groups of equipment is completed by setting the execution order of control instructions and the feedback mechanism, and the participation content includes setting environmental data collection rules, constructing equipment control strategies, setting control logic trigger conditions, and managing control process instructions.

[0004] In the prior art, 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 equipment status mainly focuses on basic start-stop control, lacking in-depth analysis of operating behaviors, easily overlooking abnormal operating states of equipment, increasing the failure rate and maintenance requirements of the system. Task scheduling often relies on static control strategies and fails to effectively consider the real-time load matching of tasks and equipment, resulting in uneven resource allocation and low efficiency. Control logic is mostly based on preset parameters and fails to make full use of real-time data feedback, causing the system to exhibit a large response lag and insufficient regulation accuracy when responding to temperature and humidity changes or load fluctuations, affecting the overall performance and stability of the air conditioning system. Summary of the Invention

[0005] The purpose of the present invention is to solve the drawbacks existing in the prior art, and to propose an intelligent control system and method for a substation air conditioner.

[0006] To achieve the above object, the present invention adopts the following technical solutions: An intelligent control system for a substation air conditioner includes:

[0007] The perception and measurement module reads the start / stop status, temperature and humidity data of the regional air conditioner through the environmental probes and voltage detectors arranged in the functional area of the substation control room, combines and classifies them, and obtains the environmental perception map of the operating area;

[0008] Based on the air conditioner nodes in the start / stop control state in the environmental perception map of the operating area, the load identification module analyzes the continuity of the operation rhythm and control records of the fan and compressor, and identifies the equipment with frequent starts, abnormal rhythms or lagging responses, and obtains the distribution mark table of the operating pressure equipment;

[0009] Based on the target equipment in the distribution mark table of the operating pressure equipment, the task unloading module reviews the control objectives and execution characteristics of each task segment item by item, and screens out the tasks with stable control cycles and light loads, and obtains the task suspension and transfer list;

[0010] Based on the task content in the task suspension and transfer list, the path scheduling module synchronously matches the empty positions at the end of the control chain of the equipment with light loads, mounts the tasks and updates the queue, and obtains the control path table of the allocated tasks;

[0011] Based on the environmental perception map of the operating area and the control path table of the allocated tasks, the control linkage module links the start / stop interface of the equipment, the wind speed command and the cooling and heating adjustment terminal, and integrates the control status to obtain the centralized air conditioner control scheme.

[0012] As a further solution of the present invention, the environmental perception map of the operating area includes start / stop status data, environmental condition data, and spatial distribution information. The distribution mark table of the operating pressure equipment includes identification of frequently started equipment, identification of abnormally rhythmic equipment, and identification of lagging response equipment. The task suspension and transfer list includes task segments to be allocated, short-cycle task segments, stable air volume task segments, and task segments with slight temperature zone fluctuations. The control path composition table of the allocated tasks includes path update records, task access registration information, control chain matching items, and air volume response frequency items. The centralized air conditioner control scheme includes a control status matrix, equipment start / stop interface instructions, wind speed control instructions, and cooling and heating adjustment terminal commands.

[0013] As a further solution of the present invention, the perception and measurement module includes:

[0014] The data acquisition sub-module obtains the monitoring data of the corresponding detection device through the environmental probes and voltage detectors arranged in the functional area of the substation control room, extracts the original temperature value, humidity value and air conditioner power supply status flag of the monitoring point, and obtains the original environmental monitoring data group;

[0015] The status reading sub-module 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 / control status and the temperature and humidity characteristic values according to the equipment number identification, and obtains the start / stop status distribution information;

[0016] The area integration sub-module synchronizes and classifies the air conditioner status data and the environmental information into the area field according to the area location based on the start / stop status distribution information, and performs combined processing on the data to obtain the operation area environment perception map.

[0017] As a further solution of the present invention, the load identification module includes:

[0018] The status screening sub-module extracts the equipment number and the affiliated area based on the equipment nodes in the start / control state in the operation area environment perception map, and classifies the start / control flag into the corresponding area field according to the equipment, and obtains the start / control equipment area list;

[0019] The behavior extraction sub-module reads the control record content of the corresponding equipment based on the start / control equipment area list, records the fan operation trajectory, the compressor state switching information and the periodic control rhythm, and performs sequential splicing to generate the operation behavior sequence set;

[0020] The abnormal marking sub-module counts the start / stop times, the rhythm change frequency and the control response interval of each equipment within a continuous time period based on the operation behavior sequence set, and archives the equipment with high start / stop frequency, unstable rhythm or long response interval according to the area identification, and obtains the operation pressure equipment distribution marking table.

[0021] As a further solution of the present invention, the task offloading module includes:

[0022] The queue review sub-module reads the equipment control task queue item by item based on the recorded equipment in the operation pressure equipment distribution marking table, arranges and extracts the environmental target item, the air volume setting status and the control rhythm paragraph in the task segment, and generates the task structure attribute list;

[0023] The task screening sub-module calculates the number of temperature zone target change sections of each task segment based on the task structure attribute list, screens the task segments with a single temperature zone or a stable change range of the section, and at the same time makes the control rhythm short and the air volume setting without violent fluctuations, and obtains the set of task segments that can be offloaded;

[0024] The buffer suspension sub-module sets the screened tasks to the to-be-allocated state and moves them into the scheduling buffer based on the set of task segments that can be offloaded, and at the same time marks the original equipment number information, and obtains the task suspension and transfer list.

[0025] As a further solution of the present invention, the calculation formula for the number of temperature zone target change sections of each task segment is specifically:

[0026]

[0027] Among them, P m represents the number of temperature zone target change sections of the m-th stage of the task, U m represents the total number of sampling points for setting the temperature zone target of the m-th stage of the task, X qm represents the temperature zone target value at the q-th sampling moment of the m-th stage of the task, represents the task status identification value at the end sampling moment of the m-th stage of the task, Y 1m represents the task status identification value at the starting sampling moment of the m-th stage of the task.

[0028] As a further solution of the present invention, the path scheduling module includes:

[0029] The idle matching sub-module reads the device queue that is currently idle or has a light load based on each task segment in the task suspension and transfer list, compares and screens the device number and the current task bearing status, and obtains an empty-load device mapping list;

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

[0031] The path registration sub-module makes a mounting action mark for each task segment 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 formed table of the allocated task control path.

[0032] As a further solution of the present invention, the calculation formula for the duration value of the continuous empty segment in the control chain is specifically:

[0033]

[0034] Among them, 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 stage of the task, V i represents the temperature setting difference before and after the i-th stage of the task, V g represents the average value of the temperature setting differences of all task segments, E avg represents the average number of execution steps of the task segments in the control chain, G cur represents the wind speed response delay in the current control chain, G ref represents the standard reference wind speed response delay, and n is the total number of continuous empty segments.

[0035] As a further solution of the present invention, the control linkage module includes:

[0036] The status extraction sub-module extracts the current temperature and humidity change trend, the start-stop status of the control path, and the task distribution in the control area based on the operation area environment perception map and the configured task control path composition table, integrates key fields by area, and obtains the operation element set of the control area;

[0037] The matrix construction sub-module analyzes the temperature and humidity trend direction, path activation frequency, and task distribution density based on the operation element set of the control area, and performs numerical cross-matching in combination with the start-stop status and wind speed response to obtain the area control scheduling matrix;

[0038] The instruction issuing sub-module links 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, arranges control signals and outputs configurations to obtain the centralized air-conditioning control scheme.

[0039] An intelligent control method for a substation air conditioner includes the following steps:

[0040] S1: Obtain the data of the environmental probes and voltage detectors arranged in the substation control room, read the start-stop status, temperature, and humidity of the air conditioner, and summarize them by combining the function area numbers to obtain the operation area environment perception map;

[0041] S2: Based on the device nodes marked as start-control status in the operation area environment perception map, extract the fan operation trajectory, compressor switching record, and periodic rhythm, analyze and screen the devices with abnormal rhythm response and lag, and obtain the operation pressure device distribution mark table;

[0042] S3: Based on the target devices in the operation pressure device distribution mark table, retrieve the control content in the task queue, check the temperature zone target, air volume setting, and rhythm information, and screen out short-period and slightly fluctuating task segments to obtain the task suspension and transfer list;

[0043] S4: Based on the task segments in the task suspension and transfer list, read the information at the end of the device queue in the idle or light-load state, match and mount the free positions with the control rhythm, and update the registered control path to obtain the configured task control path table;

[0044] S5: Based on the operation area environment perception map and the configured task control path table, call the air conditioner start-stop interface status, wind speed adjustment signal, and adjustment terminal output situation, and combine the current environment fluctuation trend and control task distribution to sort and regulate the control state to obtain the centralized air-conditioning control scheme.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0046] In the present invention, by collecting the start-stop status of the air conditioner and environmental data and classifying and integrating them, the depth of recognition of the space environment is enhanced, and the response matching ability of the control system to operation changes is improved. Based on the analysis of the fan operation trajectory and the start-stop rhythm of the compressor, abnormal states during equipment operation are identified, the fault risk is reduced, light-load tasks with stable control periods, low execution frequencies, and low resource occupancy are screened, and suspension and transfer are implemented to optimize the dynamic allocation of task resources. According to the current load condition of the equipment, the control path is dynamically matched, and by integrating control instructions, the linkage of wind speed adjustment and cooling and heating output control is enhanced, and the stability of system regulation and the coordination of operation are strengthened. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is the system flow chart of the present invention;

[0048] Figure 2 is the system block diagram of the present invention;

[0049] Figure 3 is the flow chart of the method steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more unless otherwise specifically defined.

[0052] Please refer to Figure 1 , an intelligent control system for a substation air conditioner includes:

[0053] The sensing and determination module obtains the detection data of the environmental probes and voltage detectors arranged in the functional area of the substation control room, continuously reads the current air conditioner start-stop flag, temperature and humidity status symbols, and combines the data according to the regional position, and summarizes them into a data set with start-stop status, environmental conditions and spatial distribution, and obtains an environmental perception map of the operation area;

[0054] Based on the device nodes in the start-control state in the operation area environment perception map, the load identification module enters the control record section inside the node, conducts behavioral continuity analysis on the fan operation trajectory, compressor state switching information, and periodic control rhythm record items, identifies devices with frequent starts, abnormal rhythms, or lagging responses, and archives them by region to obtain the operation pressure device distribution mark table;

[0055] Based on the recorded devices in the operation pressure device distribution mark table, the task unloading module reviews the control task queue item by item, checks the environmental target items, air volume setting status, and control rhythm paragraphs of each task segment, screens and removes task segments with characteristics of short cycle, stable air volume, and slight temperature zone fluctuations, sets the to-be-assigned status and adds them to the scheduling buffer to obtain the task suspension and transfer list;

[0056] Based on each task segment in the task suspension and transfer list, the path scheduling module synchronously reads the device queue that is currently idle or has a light load in the substation, analyzes the vacant positions in the task structure, the current control chain status, and the air volume response frequency, mounts the items after matching, and updates the path and registers the task access to obtain the configured task control path composition table;

[0057] Based on the operation area environment perception map and the configured task control path composition table, the control linkage module calls the current environmental change trend and the corresponding control path status of each control area, generates a control status matrix based on real-time changes, path updates, and task distributions, and links the start-stop interfaces, wind speed commands, and cooling and heating adjustment terminals of the devices to obtain the centralized air-conditioning control plan.

[0058] The operation area environment perception map includes start-stop state data, environmental condition data, and spatial distribution information. The operation pressure device distribution mark table includes frequent start device identifiers, abnormal rhythm device identifiers, and lagging response device identifiers. The task suspension and transfer list includes to-be-assigned task segments, short-cycle task segments, stable air volume task segments, and slight temperature zone fluctuation task segments. The configured task control path composition table includes path update records, task access registration information, control chain matching items, and air volume response frequency items. The centralized air-conditioning control plan includes a control status matrix, device start-stop interface commands, wind speed control commands, and cooling and heating adjustment terminal commands.

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

[0060] The data acquisition sub-module obtains the monitoring data of the corresponding detection devices through the environmental probes and voltage detectors arranged in the function area of the substation control room, extracts the original temperature value, humidity value, and air-conditioning power supply status flag of the monitoring points, and obtains the original environmental monitoring data group;

[0061] First, perform single-point reading and assembly on temperature, humidity, and power supply status. The environmental probes are installed on the walls of each air-conditioning control area, the support structures of elevated equipment, and the air outlet at the end of the air duct. When collecting temperature data at each point, the thermistor sensor obtains its resistance change value within each sampling period. The current resistance value is converted into a Celsius temperature reading through the built-in conversion circuit. For example, during the morning rush hour, the resistance reading of the probe on the wall in Area A corresponds to 26.8 °C. The humidity probe at the same location obtains the capacitance response value by sensing the change in the capacitance distance, and calculates the current ambient humidity as 72%. The corresponding record is written into the buffer area as an environmental data item for this monitoring point. The voltage detector monitors the air-conditioning power supply line through continuous sampling to obtain whether the corresponding current is in the powered-on state. The power-on determination is based on a set current reference of 2.5 amperes. When the actual reading is equal to or higher than this value, it is marked as "powered on", otherwise it is marked as "power off". The above three values are assembled by reading the timestamp and the monitoring point number, and the data item identification is encapsulated for each reading cycle. For example, for the detection point numbered A01 in Area A, at 8:00:10, the temperature is recorded as 26.8 °C, the humidity is 72%, and the power supply status is powered on, forming a set of original data. The data records are combined in the order of time and area priority, and the data formed at each sampling point is sorted in series to obtain the original environmental monitoring data group.

[0062] Based on the original environmental monitoring data group, the status reading sub-module reads the air-conditioning start / stop flag and the corresponding temperature and humidity status, and classifies the start / stop status and temperature / humidity characteristic values according to the device number identification to obtain the start / stop status distribution information;

[0063] First, extract the data fields related to the air-conditioning power supply status in each record. This field is marked as "1" or "0" according to the power-on / off situation, where "1" represents the current enabled state and "0" represents the disabled state. Extract the content of this field in sequence according to the device number to form a start / stop status queue. For example, if the devices numbered B05 and B06 are recorded as 1, 1, 0 respectively in three consecutive sampling periods, it is recognized that B05 is currently in a continuous start / control state, while B06 is in an interrupted state. Subsequently, read the temperature and humidity field content in each piece of data. The temperature field value is provided by the thermistor probe corresponding to the sampling point. If this value is less than 18 degrees Celsius and the humidity field is greater than 80%, mark this status as cold and humid. If the temperature is higher than 28 degrees Celsius and the humidity is less than 40%, it is marked as hot and dry. In other cases, it is uniformly marked as the normal temperature state. The above status information is indexed by the device number, and the fields are merged to form a status structure item. Each structure item consists of three parts, namely the current start / stop flag, the temperature / humidity status category, and the device number identification, which are uniformly encapsulated in the form of A03 enabled - hot and dry, B04 disabled - cold and humid. After all the structure items are encapsulated, they are uniformly classified into the status distribution table and sorted according to the device number to obtain the start / stop status distribution information of all air-conditioning equipment in the control area.

[0064] Based on the start-stop state distribution information, the area integration sub-module synchronizes the air-conditioning state data and environmental information into the area field according to the area location, combines and processes the data, and obtains the operation area environment perception map.

[0065] First, extract the device number identifier and the corresponding start-stop state and temperature-humidity state in each record. Use the prefix character in the number as the basis for area attribution. The number starts with a capital English letter. For example, A represents Area A, and B represents Area B. Subsequently, group all devices with the same prefix into the same area. Extract the data item content in order according to the number. Decompose the three parts of information in the status structure item of each device in turn. The start-stop state is marked with binary bits, and the temperature-humidity state is marked with text status as cold and humid, hot and dry, or normal temperature. Then combine its bound device number and area field into a four-field structure. Taking Area A as an example, if the status of device A01 is enabled - cold and humid, the corresponding field is A01-1-cold and humid-Area A. After summarizing each area, by sorting and comparing the device status, extract the total number of devices in the enabled state in this area, and then extract the total number of all devices in this area to complete the calculation and judgment of the start-control ratio. The judgment criterion is set as follows: if the start-control ratio exceeds 50%, this area 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. Subsequently, count the distribution frequency of the temperature-humidity state. When the proportion of devices in the cold and humid state exceeds 60%, record the environmental state of this area as cold-biased; when the proportion of devices in the hot and dry state exceeds 60%, record it as hot-biased; if the distribution of the three states is balanced, it is marked as a stable area. Finally, merge the start-stop states of each area, integrate the temperature-humidity state structure, and nest and combine the area load distribution and environmental feature labels to form a single record unit. Each unit represents a complete area information group. The combination of information from multiple areas obtains the operation area environment perception map.

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

[0067] Based on the device nodes in the start-control state in the operation area environment perception map, the status screening sub-module extracts the device number and the area to which it belongs, and assigns the start-control flag to the corresponding area field according to the device, obtaining the start-control device area list;

[0068] Read the start / stop status fields one by one. For the record items with the field value of "1", perform the operation of extracting the numbers. The number takes the value of the unique device identification code, which is composed of a prefix letter and a digital sequence. The prefix part represents the area to which the device belongs, and the digital part is the specific number of the device in that area. For example, the extraction number C07 indicates that the device is located in area C and the serial number is 07. Subsequently, classify the devices with the status field value of "1", and uniformly package and allocate all the records with this value into their respective area fields to form a start / control device grouping list by area. When the devices numbered C01, C03, and C07 in area C are all in the enabled state, the system will generate entries C01 - Enabled, C03 - Enabled, and C07 - Enabled under the area C field. All area fields are uniformly named and sorted, and organized in alphabetical order of the area and the order of the device numbers. Append the acquisition timestamp to each record to form a complete field. For example, 2021-04-24 08:05 - C03 - Enabled - Area C. After encapsulating this record, it is added to the start / control list buffer. All the record structures in the buffer are fixed to five fields, namely time, device number, status, area, and status identifier. After the structure is sorted out, summarize the number of start / control devices in each area, generate the total count of start / control devices in the corresponding area, and display it in segments by area in the start / control device area list. In the final output result items, display the specific numbers and quantity information of the start / control devices under each area, which can be directly matched with the task scheduling and path allocation module in the subsequent steps to form a callable start / control status source list and obtain the start / control device area list.

[0069] Based on the start / control device area list, the behavior extraction sub-module reads the control record content of the corresponding device, records the operation trajectory of the fan, the status switching information of the compressor, and the periodic control rhythm, and splices them in sequence to generate a set of operation behavior sequences.

[0070] First, extract the fan operation trajectory, arrange the start and stop time points, operation duration and rest interval length of the equipment according to the time axis, for a certain equipment 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, then the corresponding fan trajectory record is two independent operations, each lasting 90 seconds and 60 seconds respectively, with rest intervals of 90 seconds and 60 seconds. Then read the compressor state switching information, sort and compare the compressor on and off command response time points in each operation cycle, record the number of consecutive starts and stops and the duration of each state change, for A05 equipment, if the compressor starts and stops 7 times during the period of 08:00-08:10, of which 3 adjacent start and stop intervals are less than 30 seconds, it is classified as a high-frequency switching record, and then extract the cycle control rhythm record item. A corresponding comparison is made between the time points of set value changes and the time points of response value fluctuations. For example, the air volume setting of the A05 device is set to 40% at 08:00, increased to 60% at 08:05, and decreased to 50% at 08:10. The wind speed change response in the environmental feedback occurs at 08:01, 08:06 and 08:11. There is a 60-second lag in all three responses. The response behavior is recorded as three lag rhythms. Subsequently, the above three types of data are spliced and combined into a behavior sequence in time sequence. The sequence includes the start and end of the fan operation segment, the shutdown interval, the compressor state switching order and the rhythm response segment identifier in sequence. Each sequence is attached with a timestamp, device number and regional location identifier. Multiple device behavior sequences in the same area are segmented and written into a behavior sequence collection document to construct a continuous operation record of the device behavior in a complete time dimension and generate an operation behavior sequence set.

[0071] 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 based on the set of operating behavior sequences. Devices with high start and stop frequency, unstable rhythm or long response interval are archived according to regional identification to obtain the distribution marking table of operating pressure equipment.

[0072] First, read the number of start and stop times of the device during the continuous operation cycle according to the number. Obtain the total number of start and stop times by counting the number of adjacent operation segments. For example, device A02 had 8 start and stop times from 08:00 to 08:20. Among them, there were 6 start and stop events with a time interval less than 90 seconds between adjacent operation segments. Such devices are classified into the high-frequency start-stop category. The judgment criterion is that if the number of start and stop times within a 20-minute cycle is greater than 6, it is marked as the high-frequency state. Subsequently, compare and process the rhythm change frequency, extract the number of changes in the compressor set value and the number of fluctuations in wind speed and temperature in the actual response feedback. If the set value is adjusted more than 5 times within 30 minutes but the number of changes in the feedback parameters is less than 3 times, it is recorded as an unstable rhythm state. In an actual case, device B03 modified the air volume setting 6 times from 08:00 to 08:30, but the environmental feedback parameters only changed at 3 response points. Then, record that the rhythm control of this device is unstable. Next, extract the control response time interval field of each device record, subtract the time when each control signal is sent from the corresponding response time. When any response interval is greater than 120 seconds, it is marked as a response lag. For example, device C05 sent a wind speed increase instruction at 08:10, and the actual wind speed change was recorded at 08:12:30, with a delay of 150 seconds, and it is classified as a device with a long response interval. The above three types of marks are all attached with an exception type code, namely F01 represents high-frequency start-stop, F02 represents unstable rhythm, and F03 represents long response interval. Each abnormal device generates a four-field abnormal record item with the device number, exception code, recording time, and area number as fields, and then files it according to the area number. All abnormal device data is arranged uniformly, and the recording format is fixed as, for example, "2021-04-24 08:30, B03, F02, Area B". Summarize all the abnormal device record entries in the same area to obtain the operation pressure device distribution mark table.

[0073] Please refer to Figure 2 , the task unloading module includes:

[0074] The queue review sub-module reads the device control task queue item by item based on the recorded devices in the operation pressure device distribution mark table, arranges and extracts the environmental target items, air volume setting status, and control rhythm paragraphs in the task segment, and generates a task structure attribute list;

[0075] Read the current control task queue to which the device belongs item by item. First, extract the environmental target items in each task segment, and determine whether there are single or double constraints on the target temperature range and humidity interval corresponding to this field. For example, if the environmental target of the task segment numbered D03 is set to 23°C ± 1°C and the relative humidity is not higher than 60%, then the extracted field content is the temperature range from 22°C to 24°C and the humidity upper limit of 60%. Subsequently, read the air volume setting status field and check whether it is a fixed air volume value or adjusted in multiple segments over time. If the task segment is set to air volumes of 40%, 40%, 45%, and 50% distributed in 4 consecutive 5-minute segments in sequence, then this status belongs to the type of multi-segment increasing setting. Expand the task control rhythm segment, extract the control instruction issuance time point and the wind speed response recording time point for each segment, calculate the rhythm delay time by calculating the difference between the two time points, and further count the change frequency of the set value in each segment rhythm. For example, if the set value in a certain task segment is adjusted 3 times within 15 minutes, the corresponding control rhythm change frequency is 0.2 times per minute. Integrate the above three types of information into the task structure attribute items in sequence. Each item contains three fields, namely "environmental target setting structure", "air volume status description", and "rhythm change parameters". Combine the task segment number, device number, and the above three parameters to generate a complete task attribute list. For example, the task T17 attribute record under device D03 is T17-D03-【22-24°C, ≤60%】-

multi-segment increasing

[0076] Based on the task structure attribute list, the task screening sub-module calculates the number of temperature zone target change sections for each task segment, screens the task segments with a single temperature zone or a stable change range in the section, and at the same time makes the control rhythm short and the air volume setting without drastic fluctuations, to obtain a set of task segments that can be unloaded;

[0077] The specific calculation formula for the number of temperature zone target change sections for each task segment is as follows:

[0078]

[0079] Among them, P m represents the number of temperature zone target change sections of the m-th task segment, U m represents the total number of sampling points for the temperature zone target setting of the m-th task segment, X qm represents the temperature zone target value at the q-th sampling moment of the m-th task segment, represents the task status identification value at the end sampling moment of the m-th task segment, Y 1m represents the task status identification value at the start sampling moment of the m-th task segment;

[0080] Assume 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 values of the temperature zones are 300, 305, 310, 320, the status flag starts from 0 and ends at 1;

[0083] The calculation of the change is

[0084]

[0085] The sum of the total changes: |305 - 300| + |310 - 305| + |320 - 310| = 5 + 5 + 10 = 20;

[0086] The quantization of the status flag change: 1 (the status changes from 0 to 1);

[0087] The standardization of the overall target change:

[0088] Substitute the calculation result into the formula:

[0089]

[0090] This result indicates that in the given task segment, the number of temperature zone target change segments is 5, indicating that the target temperature zone of this task segment changes relatively frequently, but the change range is relatively stable, which is suitable for further analysis to determine whether some tasks can be unloaded.

[0091] Based on the set of unloadable task segments, the buffer suspension sub-module sets the screening tasks to the to-be-allocated state and moves them into the scheduling buffer, and at the same time marks the original device number information to obtain the task suspension and transfer list;

[0092] First, screen out the task segments that meet the three conditions of short cycle, stable air volume setting, and slight rhythm fluctuation. The short cycle is defined as the task execution time being less than 15 minutes. Stable air volume setting means the air volume change does not exceed 2 gears. Slight rhythm fluctuation means the response delay between the setting and the feedback does not exceed 30 seconds. Taking task T21 as an example, its operation cycle is 12 minutes, the air volume change is 45%-45%-50%, and the response time difference is 20 seconds. It is judged that it meets the suspend standard. Modify the status field of this task segment to "to be allocated", and add it to the scheduling buffer. Add a new entry in the buffer registration form to record the T21 task segment, and at the same time add the original equipment number field D04. The task segment field is described in a five-field structure, including task number, original equipment number, status field, entry buffer time, and structure label. The structure label comes from the content of the task structure attribute list. For example, the short cycle is marked as SC, the stable air volume is marked as VF, and the slight fluctuation is marked as SR. The final task record item is T21-D04-to be allocated-2021-04-24 08:50-

SC, VF, SR

[0093] Please refer to Figure 2 , the path scheduling module includes:

[0094] Based on each task segment in the task suspension and transfer list, the idle matching sub-module reads the device queue that is currently idle or has a light load, compares and screens the device number and the current task carrying status, and obtains the list of unmanned device mappings;

[0095] Read the task segment number, original equipment number, and pending status label in sequence. Combine the equipment operation status monitoring records within the current time period to extract the set of equipment numbers in the idle or light-load state. The determination criterion for idle equipment is no task execution record in the past 30 minutes. The light-load state is defined as the current task load rate being lower than 30%. The load rate is calculated based on the ratio of the task occupancy time to the equipment's executable time period. For example, if equipment E08 only runs two tasks from 08:00 to 08:30, with each task lasting 3 minutes and 4 minutes respectively, the total occupancy duration is 7 minutes, and the ratio is 7 / 30, approximately 23%, then E08 is identified as a light-load equipment. All equipment numbers meeting the idle or light-load criteria are included in the comparison queue. Subsequently, perform equipment availability screening on each record in the pending task segment one by one. If the original bound equipment for a task segment T32 is D12 and this equipment is currently in a high-load state and not continued to be mounted, then compare the number items in the idle equipment queue. First, judge whether it is currently idle, and second, judge whether the current number of task executions is less than 1. If either condition is met, it enters the preliminary selection result. Sort the candidate equipment in ascending order of the load rate, and select the one with the lowest load rate as the recommended target equipment, and attach labels of its original number, current number of tasks, load rate value, and area number. For example, if the final matching equipment for task T32 is E08, the record result is T32 - E08 - Number of tasks: 1 - Load rate: 23% - Area B. This structure is written into the idle mapping record item to obtain the idle equipment mapping list.

[0096] Based on the idle equipment mapping list, the structure analysis sub-module extracts the current control chain structure of the equipment, calculates the duration value of the continuous empty segments in the control chain, analyzes the empty positions in the task structure, matches and screens the air volume response frequency and the duration of the empty segments to obtain the mounting task path distribution table;

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

[0098]

[0099] Among them, T seg represents the duration value of the continuous empty segments 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 differences of all task segments, E avg represents the average number of execution steps of the task segments 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] Suppose the following values are as follows:

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

[0103] Derivation process of formula calculation:

[0104] Calculate the absolute value of the temperature difference. For the first segment of the task:

[0105] |V1 - V g | = |5 - 4| = 1 °C;

[0106] Calculate the first term of the numerator:

[0107] L1 + W1·|V1 - V g | = 2 + 1.5·1 = 3.5 minutes;

[0108] Suppose there are three segments, and we get 3.5 minutes, 4.0 minutes, and 3.8 minutes respectively.

[0109] Sum of the numerator:

[0110]

[0111] Calculate the absolute value in the denominator:

[0112] |G cur - G ref | = |0.8 - 0.5| = 0.3 seconds;

[0113] Calculation of the denominator:

[0114]

[0115] This result indicates 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 when processing tasks. This value has direct significance for evaluating the operating efficiency of the system and the optimization of task scheduling.

[0116] Based on the mounted task path distribution table, the path registration sub-module marks the mounting actions for each task segment, accesses the tail of the corresponding device control sequence, and registers the new task chain information to obtain the formed table of the allocated task control path;

[0117] First, perform the modification operation on the task segment status field, update the status from "to be assigned" to "mounted", and record the device number, task access sequence number, and access time in the mount mark field. For example, when task T51 is assigned to device G07, which is the current 3rd task for this device, the record field is set to G07-3-

[0118] 10:25. Then, enter the current task queue structure of the device to read the tail information of the control sequence, and obtain the end time of the most recent task. For example, if the end time of the current last task T49 of this device is 10:20, the access start time of the new task T51 should be set to 10:21 to avoid task conflicts. The access position field is set to "newly added at the tail". Then, confirm the control parameters of the accessed task segment, extract its air volume setting value, environmental target requirements, and rhythm response configuration, and write these parameters into the device control chain structure to construct the complete content of the task control chain segment. 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. Connect the task control chain segment to the end of the control structure of device G07, record the source field of this task chain update action as "path registration", and generate a change number for tracking the evolution of the task process. The change number structure is T51-G07-1025-R1. After all task segments are updated, they will be written into a unified task control path composition table. This table is grouped by device number, records all composition information of the current task chain of each device, the control sequence structure, and the access update record, and obtains the allocated task control path composition table.

[0119] Please refer to Figure 2 , the control linkage module includes:

[0120] The status extraction sub-module extracts the current temperature and humidity change trend, control path start-stop status, and task distribution in the control area based on the operation area environment perception map and the allocated task control path composition table, integrates the key fields by region, and obtains the set of operation elements in the control area;

[0121] First, filter out the list of devices marked as "enabled" within the current time period in the perception graph, classify them according to the area number, extract the last three temperature and humidity recorded values for each device, calculate their temperature change rate and humidity change rate respectively, obtain the change trend direction by subtracting adjacent values and dividing by the sampling interval, and judge the intensity. The threshold for the temperature change amplitude is set at ±1.5 degrees Celsius per 10 minutes, and the humidity change amplitude is set at ±8% relative humidity per 10 minutes. If it exceeds this range, it is determined as a drastic change; if it is within this range, it is determined as a stable state. After completing this trend judgment, mark the results with symbols such as "warming" and "humidity decrease" and record them in the device attribute table. Subsequently, enter the task control path composition table, read the task chain information for each device, extract the total number of tasks, the access time of each task, and the start / stop status of the control instruction. For example, the current total number of tasks for device E12 is 3, the task access times are 10:20, 10:28, and 10:34 in sequence, the first two are in the active state, and the last one has not been enabled yet, so the start / stop status of the device is "partially enabled". Divide the task distribution according to the task density. The density is calculated by dividing the number of tasks by the current active time length. For example, there are 3 tasks from 10:20 to 10:40, so the density is 0.15 tasks / minute. The comparison standard is set as density less than 0.1 is sparse, 0.1 - 0.3 is normal, and greater than 0.3 is dense. The task density of E12 is marked as normal. After extracting the task status, combine the temperature and humidity change symbols, the start / stop status of the control path, and the task density level of the device into a running status group field. The field structure is device number, area number, temperature and humidity status, control status, task density. An example is "E12 - Area F - warming - partially enabled - normal". Integrate and summarize all status groups by area to obtain the set of operation elements in the control area.

[0122] Based on the set of operation elements in the control area, the matrix construction sub-module analyzes the temperature and humidity trend directions, path activation frequencies, and task distribution densities, and performs numerical cross-matching in combination with the start / stop status and wind speed response to obtain the regional control scheduling matrix;

[0123] First, read the temperature trend and humidity trend fields of the devices in each control area. Assign +1 and -1 to the heating and dehumidification marks respectively, and record 0 for stable conditions. Use this value as the temperature and humidity trend direction item, and make a preliminary mapping with the task density. Set the temperature and humidity weight adjustment ratio to 1.2 for the intensive task area, and assign 0.8 to the sparse task area. After adjustment, obtain the corrected value of the temperature and humidity trend direction. Then, read the activation frequency data in the corresponding device control path, and calculate the start-stop frequency value by calculating the proportion of the activated path within a unit time. For example, if the start-stop record in the task control path of device G02 is 5 times in the past 10 minutes and the total number of path segments is 10, then 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 for each path status, make a combined judgment with the aforementioned corrected trend value. If a device is in a heating trend with a corrected value of +1.2 and the path frequency is high, it is classified as a load strengthening area. Subsequently, read the current wind speed response field of each device, compare the set air volume with the feedback wind speed, and obtain the average difference value. If it is within the range of ±5%, it is marked as normal response, and if it exceeds, it is marked as delayed or over-response. Then, make a combined judgment on the execution status level with the task density for this response result. Convert the path frequency, wind speed response, and task density into integer identification items through a three-dimensional association table. Among them, high frequency + normal response + intensive is "7", medium frequency + delayed response + sparse is "3", and each combined result corresponds to a unique matrix value. Then, combine and record the device number and the corresponding matrix value, and rearrange the matrix uniformly according to the control area number. Horizontally arrange all device numbers F01 to F08 in area F, and vertically represent the current time scale. After filling all the values, complete the matrix construction. Finally, encapsulate the matrix structure of each control area into a standard format. The field structure includes time, device number, temperature and humidity trend value, start-stop frequency level, wind speed response status, and matrix value encoding. Integrate and output the results of multiple control areas to obtain the regional control scheduling matrix.

[0124] Based on the regional control scheduling matrix, the instruction issuing sub-module links the start-stop interface, wind speed instruction port, and adjustment control device of the air-conditioning equipment in the control area, arranges the control signals and outputs the configuration to obtain the centralized air-conditioning control scheme;

[0125] First, the matrix value is bound and mapped to the task control logic. For example, the value code "7" represents high-frequency start and stop, normal wind speed response and intensive tasks, then the corresponding start and stop control signal generated is "continuous operation", the wind speed adjustment instruction is "maintain set value", and the adjustment control instruction is "intermittent air volume adjustment". For the device with the value code "3", it means that the path frequency is medium, the response delay and the task is sparse, then the corresponding control action is "intermittent operation", the wind speed is reduced to 90% of the set value, and the adjustment device issues a "cooling load release" instruction at the same time. The matrix values of all devices in each area are translated to form a device control action list. Each list structure contains the device number, target start and stop status, wind speed target value and adjustment mode field. Then each list is written into the control signal generation task pool. For the device with the start and stop status field of "continuous operation", a continuous enable signal code is generated and written to the device start and stop interface. The coding format is set to the device number suffix + status bit, for example F03-ON, wind speed control The instruction field is written to the wind speed instruction port, and the instruction value is set as a percentage. If device G05 needs to adjust the wind speed to 60%, the command instruction G05-F60 is generated. The adjustment control port is set to G05-M3 to represent mode three, indicating slow temperature rise control. All instructions are sorted by device number and then uniformly merged into the control scheduling cache queue. They are grouped by timestamp to form control batches. Each batch records the area, device set, corresponding instruction set and preset control duration. The control duration is estimated based on the task setting cycle and response frequency. For example, if the task cycle is 15 minutes and the device response interval is 2 minutes, the control hold is set to 17 minutes. Finally, all control batches are packaged and output as control instruction sets by the instruction converter. The configuration file format is a CSV structure. The field content is time, area, device number, start and stop command, wind speed set value and adjustment instruction. After packaging, it is uploaded to the instruction publishing interface for unified scheduling output to obtain the centralized air conditioning control plan.

[0126] See also Figure 3 , a substation air conditioner intelligent control method, comprising the following steps:

[0127] 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;

[0128] S2: Based on the device nodes marked as on-control in the operating area environmental perception map, extract the fan operation trajectory, compressor switching records and cycle rhythm, analyze and filter the devices with abnormal rhythm response lag, and obtain the operating pressure equipment distribution mark table;

[0129] S3: Based on the target devices in the operating pressure equipment distribution marking table, retrieve the control content in the task queue, inspect the temperature zone target, air volume setting, and rhythm information, and screen out short-cycle and slightly fluctuating task segments to obtain the task suspension and transfer list;

[0130] S4: Based on the task segments in the task suspension and transfer list, read the information at the end of the device queue in the idle or light-load state, match and mount the free positions with the control rhythm, and update the registered control path to obtain the allocated task control path table;

[0131] S5: Based on the operating area environment perception map and the allocated task control path table, call the air conditioner start-stop interface status, wind speed adjustment signal, and regulator terminal output situation, and combine the current environmental fluctuation trend and control task distribution to sort out and rhythmically sort the control status to obtain the air conditioner centralized control plan.

[0132] The above is only the preferred embodiment of the present invention, and it is not intended to limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical content of the technical solution of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent control system for a substation air conditioner, characterized in that, The system includes: The perception and measurement module reads the start / stop status of the regional air conditioners, temperature and humidity data through the environmental probes and voltage detectors arranged in the functional area of the substation control room, combines and classifies them, and obtains the environmental perception map of the operating area; Based on the air conditioner nodes in the start / control state in the environmental perception map of the operating area, the load identification module analyzes the continuity of the operation rhythm and control records of the fans and compressors, and identifies the equipment with frequent starts, abnormal rhythms or lagging responses, and obtains the distribution mark table of the operating pressure equipment; Based on the target equipment in the distribution mark table of the operating pressure equipment, the task unloading module reviews the control objectives and execution characteristics of each task segment item by item, and screens out the tasks with stable control cycles and light loads, and obtains the task suspension and transfer list; Based on the task content in the task suspension and transfer list, the path scheduling module synchronously matches the empty positions at the tails of the control chains of the lightly loaded equipment, mounts the tasks and updates the queue, and obtains the control path table of the allocated tasks; Based on the environmental perception map of the operating area and the control path table of the allocated tasks, the control linkage module links the start / stop interfaces of the equipment, the wind speed commands and the cooling / heating adjustment terminals, and integrates the control status to obtain the centralized air conditioner control plan.

2. The intelligent control system for a substation air conditioner according to claim 1, characterized in that: The environmental perception map of the operating area includes start / stop status data, environmental condition data, and spatial distribution information. The distribution mark table of the operating pressure equipment includes identification of frequently started equipment, identification of abnormally rhythmical equipment, and identification of lagging response equipment. The task suspension and transfer list includes task segments to be allocated, short-cycle task segments, stable air volume task segments, and task segments with slight temperature zone fluctuations. The control path composition table of the allocated tasks includes path update records, task access registration information, control chain matching items, and air volume response frequency items. The centralized air conditioner control plan includes a control status matrix, equipment start / stop interface instructions, wind speed control instructions, and cooling / heating adjustment terminal commands.

3. The intelligent control system for a substation air conditioner according to claim 1, wherein The perception and measurement module includes: The data acquisition sub-module obtains the monitoring data of the corresponding detection devices through the environmental probes and voltage detectors arranged in the functional area of the substation control room, extracts the original temperature value, humidity value and air conditioner power supply status flag of the monitoring points, and obtains the original environmental monitoring data group; Based on the original environmental monitoring data group, the status reading sub-module reads the start / stop flag of the air conditioner and the corresponding temperature and humidity status, classifies the start / control status and 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 sub-module synchronously classifies the air conditioner status data and environmental information into the regional fields according to the regional location, and performs combined processing on the data to obtain the environmental perception map of the operating area.

4. The intelligent control system for substation air conditioners according to claim 1, characterized in that The load identification module includes: Based on the equipment nodes in the start / control state in the environmental perception map of the operating area, the status screening sub-module extracts the equipment numbers and the affiliated regions, and classifies the start / control flags into the corresponding regional fields according to the equipment, and obtains the list of start / control equipment regions; Based on the list of start / control equipment regions, the behavior extraction sub-module reads the control record content of the corresponding equipment, records the fan operation trajectory, compressor state switching information and periodic control rhythm, and performs sequential splicing to generate a set of operating behavior sequences; 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.

5. The intelligent control system for the substation air conditioner according to claim 1, wherein 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 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.

6. The intelligent control system for the substation air conditioner according to claim 5, characterized in that, The calculation formula for the number of target temperature change sections for each task is as follows: Among them, P m represents the number of temperature zone target change sections for the m-th stage of the task, U m represents the total number of sampling points for the temperature zone target setting of the m-th stage of the task, X qm represents the temperature zone target value at the q-th sampling moment of the m-th stage of the task, represents the task status identification value at the end sampling moment of the m-th stage of the task, Y 1m represents the task status identification value at the start sampling moment of the m-th stage of the task.

7. The intelligent control system for the substation air conditioner according to claim 1, wherein 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.

8. The intelligent control system for the substation air conditioner according to claim 7, characterized in that: The calculation formula for the duration of the continuous empty segments in the control chain is specifically: Among them, T seg represents the duration value of consecutive empty segments 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 segment, V i represents the difference in temperature settings before and after the i-th task segment, V g represents the average value of the temperature setting differences of all task segments, E avg represents the average number of execution steps of the task segments in the control chain, G cur represents the wind speed response delay in the current control chain, G ref represents the standard reference wind speed response delay, and n is the total number of consecutive empty segments.

9. The intelligent control system for the substation air conditioner 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.

10. An intelligent control method for a substation air conditioner, characterized in that, According to any one of claims 1 to 9, 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 start-control status in the operation area environment perception map, extract the fan operation trajectory, compressor switching records and periodic rhythms, analyze and screen the devices with abnormal rhythms and lagging responses, and obtain the operation pressure device distribution marking table; S3: Based on the target devices in the operation pressure device distribution marking table, retrieve the control content in the task queue, check the temperature zone target, air volume setting and rhythm information, and screen out the short-period and slightly fluctuating task segments to obtain the task suspension and transfer list; S4: Based on the task segments in the task suspension and transfer list, read the information at the end of the device queue in the idle or light-load state, match and mount the free positions with the control rhythm, and update the registered control path to obtain the allocated task control path table; S5: Based on the operation area environment perception map and the allocated task control path table, call the air conditioner start-stop interface status, wind speed adjustment signal and adjustment terminal output situation, and combine the current environmental fluctuation trend and control task distribution to normalize the control status and sort the rhythms to obtain the air conditioner centralized control plan.

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