Energy-saving group control device and method based on distributed space environment perception

Abstract

The invention discloses an energy-saving group control device and method based on distributed space environment perception, the device comprises a control management module, a centralized control module and a plurality of end control modules, and the centralized control module and each end control module are respectively in communication connection with the control management module; the centralized control module is used for providing a first temperature control signal for each space environment based on work calendar configuration; the tail end control module is used for analyzing the received user instruction and giving a second temperature control signal for the corresponding space environment; and the control management module is used for determining the first temperature control signal or the second temperature control signal as a target control signal based on a preset control priority strategy, and executing temperature control on the space environment. A control priority strategy is configured for the control management module and the anchor section control module, the priorities of the two modules are adjusted in real time, and balance of energy consumption and user comfort and optimization of air conditioner cluster control are achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of air-conditioning control, and in particular relates to an energy-saving group control device and method based on distributed spatial environment perception. Background Art

[0002] Current air conditioning group control systems operate in a crude and reliance on manual control, resulting in suboptimal equipment efficiency and energy waste. Achieving energy conservation, emission reduction, cost reduction, and efficiency improvement while ensuring indoor environmental comfort is a key challenge in the green and low-carbon development of the building sector.

[0003] Patent application CN118729486A provides an air conditioner cluster control method and an air conditioner. The air conditioner cluster control method includes obtaining the optimal thermal comfort corresponding to the current environment and the indoor temperature corresponding to the optimal thermal comfort; obtaining the standard operating frequency of the air conditioner based on the indoor temperature corresponding to the optimal thermal comfort; comparing the standard operating frequency of the air conditioner with the optimal operating frequency of the air conditioner; if the standard operating frequency of the air conditioner is less than or equal to the optimal operating frequency of the air conditioner, controlling one air conditioner and entering a single control mode; if the standard operating frequency of the air conditioner is greater than the optimal operating frequency of the air conditioner, turning on the air conditioners in different areas in turn according to preset rules and entering a cluster control mode, thereby solving the technical problem of high energy consumption of air conditioner units caused by improving user comfort in related technologies.

[0004] How to optimize the control of the air-conditioning cluster and reduce the energy consumption of the air-conditioning cluster while ensuring user comfort is a problem that needs to be solved at present. Summary of the Invention

[0005] In response to the deficiencies in the above-mentioned prior art, the present invention provides an energy-saving group control device and method based on distributed spatial environment perception. The device includes a control management module, a centralized control module, and multiple terminal control modules. The centralized control module and each terminal control module are respectively connected to the control management module in communication. The centralized control module is configured to provide a first temperature control signal for each spatial environment based on a work calendar. The terminal control module is configured to analyze received user instructions and provide a second temperature control signal for the corresponding spatial environment. The control management module is configured to determine the first temperature control signal or the second temperature control signal as the target control signal based on a preset control priority strategy and to perform temperature control of the spatial environment. By configuring a control priority strategy for the control management module and the anchor segment control module, the priorities of the two modules are adjusted in real time, achieving a balance between energy consumption and user comfort, as well as optimizing air conditioning cluster control.

[0006] In a first aspect, the present invention provides an energy-saving group control device based on distributed spatial environment perception, which specifically includes a control management module, a centralized control module and multiple terminal control modules, wherein the centralized control module and each terminal control module are respectively communicated with the control management module;

[0007] A centralized control module, configured to provide a first temperature control signal for each space environment based on a work calendar configuration;

[0008] The terminal control module is used to analyze the received user instructions and provide a second temperature control signal for the corresponding space environment;

[0009] The control management module is used to determine the first temperature control signal or the second temperature control signal as the target control signal based on a preset control priority strategy, and perform temperature control on the space environment.

[0010] Furthermore, based on the work calendar configuration, a first temperature control signal for each space environment is given, specifically including:

[0011] Collect current weather data and current indoor data of each spatial environment;

[0012] Combined with the work calendar configuration, based on the pre-built initial control model, the current environmental data and current indoor data are analyzed to provide the initial control parameters corresponding to each spatial environment;

[0013] Based on the initial control parameters of each spatial environment, a first temperature control signal is respectively issued to each spatial environment.

[0014] Furthermore, the construction of the initial control model is determined by the following steps:

[0015] Obtain historical control training data, including historical weather data and historical indoor temperatures before and after startup, historical startup times, historical shutdown times, historical cooling storage startup durations, historical cooling storage labels, historical temperature control coefficients, and historical cooling costs for each space environment.

[0016] The input feature vector is constructed by integrating historical weather data and the historical indoor temperature before and after power-on of each spatial environment.

[0017] Combining at least one of historical startup time, historical shutdown time, historical cold storage startup duration, historical cold storage label, historical temperature control coefficient, and historical cooling cost to form a target variable;

[0018] According to the variable value of each target variable, the corresponding input feature vector is divided to construct a spatial decision tree;

[0019] Regression analysis is performed on the input feature vector set of each node in the spatial decision tree, and the feature vector function of each node is constructed to obtain the initial control model, where the feature vector function is the functional relationship between the input feature vector and the target variable.

[0020] Furthermore, the first temperature control signal includes a control signal of a temperature setting value, and the initial control parameters include a cold storage tag, a cooling cost, and a temperature control coefficient;

[0021] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0022] According to the cold storage label, combined with the cooling cost and temperature control coefficient of each space environment, each space environment is ranked to obtain the first ranking result;

[0023] Combined with the scheduling parameters of each space environment, the first sorting result is adjusted to give the second sorting result and the total cooling cost;

[0024] Based on the current electricity price or carbon factor, the temperature satisfaction rate of the total area is given;

[0025] Based on the temperature satisfaction rate, the cost ratio of the cooling cost of each space environment to the total cooling cost is analyzed to determine the control signal of the temperature setting value corresponding to each space environment.

[0026] Furthermore, the first temperature control signal includes a control signal for the on time and a control signal for the off time, and the initial control parameters include the on time, the cold storage on time, the off time, the space activation time, and the space closing time;

[0027] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0028] Obtain the power-on time, cooling storage on time, power-off time, space activation time, and space shutdown time of each space environment;

[0029] Analyze and compare the power-on time and cooling storage time of each space environment, and provide the target power-on time for each space environment;

[0030] Match the target opening duration of each space environment with the space activation time, and send a corresponding opening time control signal;

[0031] Match the shutdown duration of each space environment with the space closing time, and send a control signal for the corresponding closing time.

[0032] Furthermore, the first temperature control signal also includes a control signal of the chilled water outlet temperature and / or a control signal of the chilled water supply and return temperature difference, and the initial control parameters also include the real-time temperature and scheduling attributes of the space environment;

[0033] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0034] According to the real-time temperature and the temperature setting value of each space environment, the difference between the real-time temperature and the temperature setting value of each space environment is calculated to obtain the temperature deviation of each space environment;

[0035] Collecting and analyzing temperature deviations at multiple moments in a first continuous period and a second continuous period in each spatial environment to obtain a first spatial set and a second spatial set, wherein the second continuous period includes the first continuous period;

[0036] Combined with the scheduling attributes of each spatial environment, each temperature deviation in the first spatial set and the second spatial set is judged, and the spatial environment anomaly type of each spatial environment is given;

[0037] Based on the type of spatial environment anomaly, the adjustment parameters of the chilled water outlet temperature and / or the chilled water supply and return temperature difference are determined, and corresponding chilled water outlet temperature control signals and / or chilled water supply and return temperature difference control signals are issued.

[0038] Furthermore, based on the scheduling attributes of each spatial environment, the temperature deviations in the first spatial set and the second spatial set are judged, and the spatial environment anomaly type of each spatial environment is given, specifically including:

[0039] Based on the scheduling attributes of each spatial environment, the first spatial set and the second spatial set are respectively screened, and a spatial environment with a scheduling attribute that is schedulable is given, thereby obtaining a first schedulable spatial set and a second schedulable spatial set;

[0040] Based on the preset temperature deviation range, the relationship between the temperature deviation and the temperature deviation range in the first schedulable space set and the second schedulable space set is analyzed respectively, and the number of spaces corresponding to different relationships is given;

[0041] Based on the number of spaces, obtaining a first satisfaction rate corresponding to the first schedulable space set and a second satisfaction rate corresponding to the second schedulable space set;

[0042] The first satisfaction rate and the second satisfaction rate are matched with a preset satisfaction rate range respectively to determine the spatial environment anomaly type of each spatial environment.

[0043] Furthermore, based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed, specifically including:

[0044] Determining the priority of the first temperature control signal and the second temperature control signal according to a preset control priority strategy;

[0045] If the priority of the first temperature control signal is higher than the priority of the second temperature control signal, the target control signal is determined in combination with the end protection time of the second temperature control signal, and the temperature control of the space environment is performed.

[0046] Furthermore, the preset control priority strategy is determined by the following steps:

[0047] Analyze the operating data of the refrigeration machine in each space environment and provide the peak operating hours of the refrigeration machine in each space environment;

[0048] During peak hours in each space environment, the centralized control module is retained to control the chiller, and the control priority of the centralized control module and the terminal control module is adjusted;

[0049] Based on the environmental data in each spatial environment, the distribution of personnel in each spatial environment is obtained, and the number of personnel is obtained;

[0050] Adjust the control priority of the centralized control module and the terminal control module based on the number of people in each spatial environment.

[0051] Furthermore, the first temperature control signal also includes a control signal for the number of chillers, and the initial control parameters also include the current load rate of the chiller, the evaporator outlet water temperature corresponding to the chiller, and the chilled water outlet temperature;

[0052] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0053] Based on the operating status of each chiller, the current load rate of each chiller and the temperature difference between the evaporator outlet water temperature and the chilled water outlet temperature are analyzed to provide the chiller operating indicators;

[0054] Conduct integrated analysis of all chiller operation indicators to determine the overall operation indicators;

[0055] Based on the overall operating indicators, the overall operating indicators in the continuous time period are judged, and the current evaporator outlet water temperature and chilled water outlet temperature are obtained, and the water temperature difference between the evaporator outlet water temperature and the chilled water outlet temperature is given;

[0056] Combine the rated power of each chiller and merge the water temperature difference to obtain the standard water temperature difference;

[0057] Based on the judgment of the standard water temperature difference, a control signal for the number of chillers is output.

[0058] Furthermore, the water temperature difference is integrated with the rated power of each chiller to obtain the standard water temperature difference, which specifically includes:

[0059] Obtain the rated power of the chiller whose chiller operation indicator is overload;

[0060] Calculate the ratio of the rated power of each chiller to the sum of the rated powers of all chillers to obtain the weighting coefficient of each chiller;

[0061] Based on the weighted coefficients of each chiller, the water temperature differences of each chiller are weighted and summed to obtain the standard water temperature difference.

[0062] Furthermore, the work calendar configuration includes spatial target temperatures of various spatial environments in different time periods.

[0063] In a second aspect, the present invention further provides an energy-saving group control device based on distributed spatial environment perception, which adopts any of the above-mentioned energy-saving group control devices based on distributed spatial environment perception, including:

[0064] Based on the work calendar configuration, a first temperature control signal is given for each space environment;

[0065] Analyze the received user instruction and provide a second temperature control signal for the corresponding space environment;

[0066] Based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed.

[0067] The present invention provides an energy-saving group control device and method based on distributed spatial environment perception, which has at least the following beneficial effects:

[0068] (1) By configuring control priority strategies for the control management module and the anchor segment control module, the priorities of the two modules are adjusted in real time to achieve a balance between energy consumption and user comfort and optimize the air conditioning cluster control.

[0069] (2) By analyzing the peak hours of each spatial environment, the priority of the centralized control module is set higher than that of the terminal control module. At the same time, combined with the environmental data of each spatial environment, the distribution of personnel in each spatial environment is understood, the number of personnel is obtained and judged, and the priority of the centralized control module and the terminal control module is adjusted; in order to ensure the control effect of the terminal control module, the terminal protection time is set for the terminal control module.

[0070] (3) By dividing the historical control training data, a spatial decision tree is constructed and the input feature vectors and target variables at each node in the spatial decision tree are analyzed. The feature vector function is constructed and the initial control parameters are obtained based on it to achieve efficient operation of the energy-saving group control device. At the same time, it can also provide data support for improving the user's comfort experience.

[0071] (4) Analyze and calculate the relevant parameters for opening and closing in each space environment, give the opening time and closing time of each space environment, and open or close it in advance in a timely manner to ensure user comfort, reduce energy consumption, and optimize the control of the air-conditioning cluster.

[0072] (5) During the operation of the air-conditioning cluster, the real-time temperature of each space environment, the current load rate of each chiller, the evaporator outlet water temperature and the chilled water outlet temperature are analyzed and judged in real time to realize the control of the chilled water outlet temperature, the chilled water supply and return water temperature difference and the number of chillers, and timely discover the abnormal operation problems of the air-conditioning cluster in the space environment and solve them in time to ensure the temperature changes in each space environment.

[0073] (6) In order to ensure the necessity of adding the cooling machine and prevent jitter at a single moment, it is necessary to continuously judge the overall operating indicators of the cooling machine, and give a first temperature control signal based on the judgment result to control the number of cooling machines turned on. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A structural block diagram of an energy-saving group control device based on distributed spatial environment perception provided by an embodiment of the present invention;

[0075] Figure 2 A schematic diagram of the locations of various spatial environments provided in an embodiment of the present invention;

[0076] Figure 3 A flowchart for determining the type of space environment anomaly provided by an embodiment of the present invention;

[0077] Figure 4 A flow chart of issuing a first temperature control signal provided by an embodiment of the present invention;

[0078] Figure 5 A flow chart of an energy-saving group control method based on distributed spatial environment perception provided by an embodiment of the present invention.

[0079] Among them, 10, control management module; 20, centralized control module; 30, terminal control module. DETAILED DESCRIPTION

[0080] To better understand the above technical solution, the following will be described in detail with reference to the accompanying drawings and specific implementation methods. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0081] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "a," "an," "the," and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, and unless the context clearly indicates otherwise, "a plurality" generally includes at least two.

[0082] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a product or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such product or device. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the product or device comprising the element.

[0083] Current building automation systems (BAS) have significant limitations in their personalized temperature control strategies for air conditioning terminals. For example, when control of fan coil units (FCUs) at the air conditioning terminal is centralized in the BAS mode, although the system has a preset unified terminal temperature range (e.g., 24-26°C), the temperature adjustment functions of the FCU control panels in rooms on each floor are forcibly locked (control is centralized within the BAS). This "one-size-fits-all" unified temperature control model fails to meet the personalized environmental needs of different areas and users—some prefer a cooler environment, while others prefer a relatively warmer space. Especially in open-plan office spaces coexisting with individual offices, a unified terminal temperature setting often results in reduced comfort for some users, impacting user experience and causing energy waste. When FCU control authority is partially or fully delegated to on-site control, some users may set the temperature too low or too high. In this case, the BAS cannot automatically adjust the temperature setting back to the normal value in a timely manner, resulting in energy waste. Furthermore, when the FCU control authority for the air conditioner terminals is partially or fully delegated to on-site control, the centralized scheduling function of the BAS is limited, making it impossible to start the FCU at the air conditioner terminals in advance according to the preset schedule to pre-cool the relevant spaces (such as offices). This is especially true in hot summer weather, which seriously affects the user experience. Furthermore, if the FCU control authority for the air conditioner terminals is fully or mostly delegated to the on-site control, a large number of users will turn on the air conditioners during working hours, making it difficult for the system's cooling capacity to match the sudden increase in load demand in a short period of time. The indoor temperature cannot quickly reach the set value, affecting user comfort. At the same time, operation and maintenance personnel have to frequently intervene and make adjustments, and are even forced to start backup units to alleviate load pressure. This not only reduces the overall energy efficiency of the system and increases additional energy consumption, but also increases the burden of operation and maintenance. More seriously, the frequent start-up and shutdown of the units and overload operation will accelerate equipment aging and shorten their service life. This rigid control mode seriously restricts the building's optimization of the balance between energy saving and comfort.

[0084] At the same time, BAS has space utilization perception defects in its air conditioning terminal control strategy. The current BAS lacks personnel presence detection function. When the BAS is in centralized control mode, a unified power on and off time is preset, which will cause the air conditioning equipment in certain areas (such as conference rooms, activity rooms, independent offices, etc.) to continue running when there is no one, resulting in energy waste. When the control authority of the FCU at the air conditioning terminal is partially or completely delegated to on-site control, it is easy for some areas to forget to shut down when there is no one or after get off work, or some users simply do not shut down. At present, the air conditioner can only be turned off by manual inspection. This passive management method is not only inefficient, but also difficult to respond to changes in the use status of the building space in a timely manner, seriously affecting the overall energy efficiency performance of the building.

[0085] In order to optimize the control of the air conditioning cluster and reduce the energy consumption of the air conditioning cluster while ensuring user comfort, such as Figure 1 As shown, an embodiment of the present invention provides an energy-saving group control device based on distributed space environment perception, which specifically includes: a control management module, a centralized control module and multiple terminal control modules, and the centralized control module and each terminal control module are respectively communicated with the control management module. The centralized control module is used to provide a first temperature control signal for each space environment based on the work calendar configuration. The terminal control module is used to analyze the received user instructions and provide a second temperature control signal for the corresponding space environment. The control management module is used to determine the first temperature control signal or the second temperature control signal as the target control signal based on a preset control priority strategy, and perform temperature control on the space environment.

[0086] The work calendar configuration includes the target temperature of each space environment at different time periods. Figure 2 As shown, office A1 operates from 9:00 AM to 5:00 PM, computer room A2 operates all day with a target temperature of 15°C, cold storage A3 operates all day with a target temperature of 5°C, and business premises A4 operates from 8:00 AM to 10:00 PM. It is understood that the temperature of spaces such as offices and business premises can be adjusted based on actual conditions, while spaces such as computer rooms and cold storage require a fixed temperature.

[0087] The centralized control module determines the target temperature and operating time for each spatial environment based on the work calendar configuration and issues a first temperature control signal for each spatial environment. The terminal control module analyzes received user commands and issues a second temperature control signal for the corresponding spatial environment. The terminal control module is a control panel that controls the corresponding equipment in each spatial environment. Operated by personnel in the corresponding spatial environment, it outputs the second temperature control signal. Based on a preset control priority strategy, the control management module selects one of the first and second temperature control signals as the target control signal and executes temperature control for the spatial environment.

[0088] Furthermore, based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed, specifically including:

[0089] Determining the priority of the first temperature control signal and the second temperature control signal according to a preset control priority strategy;

[0090] If the priority of the first temperature control signal is higher than the priority of the second temperature control signal, the target control signal is determined in combination with the end protection time of the second temperature control signal, and the temperature control of the space environment is performed.

[0091] Furthermore, the preset control priority strategy is determined by the following steps:

[0092] Analyze the operating data of the refrigeration machine in each space environment and provide the peak operating hours of the refrigeration machine in each space environment;

[0093] During peak hours in each space environment, the centralized control module is retained to control the chiller, and the control priority of the centralized control module and the terminal control module is adjusted;

[0094] Based on the environmental data in each spatial environment, the distribution of personnel in each spatial environment is obtained, and the number of personnel is obtained;

[0095] Adjust the control priority of the centralized control module and the terminal control module based on the number of people in each spatial environment.

[0096] To ensure macro-control of the air conditioning cluster, the centralized control module takes precedence over the terminal control module under certain circumstances. It's understandable that peak operating hours for various spatial environments often overlap significantly. Using the terminal control module for control during these times would waste energy and increase the load on the air conditioning cluster, making it more susceptible to failure. Therefore, during peak operating hours for each spatial environment, the centralized control module takes precedence over the terminal control module. Environmental data for each spatial environment can be obtained using millimeter-wave radar human presence sensors, which can be used to determine the distribution of people in each spatial environment and the number of people present. When the number of people present is below a threshold, the centralized control module takes precedence over the terminal control module. Except in these circumstances, the terminal control module takes precedence over the centralized control module. Furthermore, to ensure the effectiveness of the terminal control module's control, a terminal protection period is set for the terminal control module. This means that after the terminal control module takes control of the corresponding spatial environment, the devices in the corresponding spatial environment will not receive control commands from the centralized control module during the terminal protection period. For example, the terminal protection time is two hours, 11:00-13:00 is the peak period, the priority of the centralized control module is higher than the priority of the terminal control module, and the terminal control module outputs the second temperature control signal at 10:30 and uses it as the target control signal to control the temperature of the space environment. Then, within the two hours from 10:30 to 12:30, the temperature of the corresponding space environment is not controlled by the centralized control module.

[0097] The aforementioned "analysis of chiller operating data in each spatial environment" can be performed within a unit cycle. For example, the load of each chiller can be analyzed daily, with periods of peak load or load exceeding the average load defined as peak chiller operation periods. A seven-day period can also be used as a unit cycle, and this is not a limitation.

[0098] Furthermore, based on the work calendar configuration, a first temperature control signal for each space environment is given, specifically including:

[0099] Collect current weather data and current indoor data of each spatial environment;

[0100] Combined with the work calendar configuration, based on the pre-built initial control model, the current environmental data and current indoor data are analyzed to provide the initial control parameters corresponding to each spatial environment;

[0101] Based on the initial control parameters of each spatial environment, a first temperature control signal is respectively issued to each spatial environment.

[0102] In a specific embodiment, the current environmental data is a weather parameter, which includes a temperature parameter, a humidity parameter, and a weather type. The current indoor data includes the real-time indoor temperature, which is the currently detected temperature of the corresponding spatial environment. The temperature parameter is the outdoor temperature data, the humidity parameter is the outdoor humidity data, and the weather type is the outdoor weather conditions, such as sunny, rainy, or cloudy. The work calendar configuration includes a spatial target temperature, which represents the temperature or temperature range that the corresponding spatial environment needs to reach. The spatial target temperature can be a specific target value or a target range, and can be adjusted based on the actual needs of each spatial environment, without limitation.

[0103] Based on weather parameters, real-time indoor temperature and space target temperature, combined with the initial control model, dynamic optimization of temperature setting values ​​is achieved. While ensuring personalized temperature control authority, dynamic scheduling is achieved to reduce energy waste through adjustment of temperature setting values.

[0104] Furthermore, the construction of the initial control model is determined by the following steps:

[0105] Obtain historical control training data, including historical weather data and historical indoor temperatures before and after startup, historical startup times, historical shutdown times, historical cooling storage startup durations, historical cooling storage labels, historical temperature control coefficients, and historical cooling costs for each space environment.

[0106] The input feature vector is constructed by integrating historical weather data and the historical indoor temperature before and after power-on of each spatial environment.

[0107] Combining at least one of historical startup time, historical shutdown time, historical cold storage startup duration, historical cold storage label, historical temperature control coefficient, and historical cooling cost to form a target variable;

[0108] According to the variable value of each target variable, the corresponding input feature vector is divided to construct a spatial decision tree;

[0109] Regression analysis is performed on the input feature vector set of each node in the spatial decision tree, and the feature vector function of each node is constructed to obtain the initial control model, where the feature vector function is the functional relationship between the input feature vector and the target variable.

[0110] In a specific embodiment, the historical weather data corresponds to the above-mentioned weather parameters, including historical temperature parameters, historical humidity parameters, and historical weather types. The historical indoor temperature before startup is the indoor temperature before the cooling machine is turned on in the corresponding space environment. The historical indoor temperature before startup is the indoor temperature after the cooling machine is turned on in the corresponding space environment. The historical startup time is the time when the cooling machine is turned on in each space environment. The historical shutdown time is the time when the cooling machine is turned off in each space environment. The historical cold storage startup time is the time required for each cold storage label to start the cooling machine in advance in the space environment where cold storage is required. The historical cold storage label indicates whether the cooling machine needs to be turned on in advance. If the historical cold storage label indicates that cold storage is required, the cooling machine needs to be turned on in advance. If the historical cold storage label indicates that cold storage is not required, the cooling machine does not need to be turned on in advance. The historical temperature control coefficient indicates the difficulty of lowering / raising the indoor temperature of each space environment from the historical startup time to the space target temperature. The historical temperature control coefficient is related to factors such as the space area and equipment conditions of each space environment. The historical cooling cost is the cooling cost required for each space environment to maintain the temperature at the space target temperature.

[0111] It can be understood that there is a one-to-one correspondence between the input feature vector and the target variable. If the target variable is a parameter, the median, quarter digit, three-quarter digit, etc. of the target variable are obtained and divided until the number of input feature vector sets in a certain division is less than or equal to 1 or the depth of the spatial decision tree reaches the preset depth value. If the target variable includes two or more parameters, multiple parameters in the target variable are quantized and fused to obtain a fused variable. The fused variable is divided according to the above target variable method to complete the construction of the spatial decision tree. It can also be divided according to the importance of multiple parameters in the target variable. For example, the target variables include historical start-up time, historical shutdown time, historical cold storage start-up time, historical cold storage label, historical temperature control coefficient and historical cooling cost, and the importance of each parameter is from heavy to light: historical start-up time, historical shutdown time, historical cold storage start-up time, historical cold storage label, historical temperature control coefficient, and historical cooling cost. When constructing the spatial decision tree, first divide according to the historical start-up time. When the corresponding historical start-up time in the input feature vector set is the same, divide according to the historical shutdown time, and so on until the number of input feature vector sets of a certain division is less than or equal to 1 or the depth of the spatial decision tree reaches the preset depth value.

[0112] After completing the above division, a spatial decision tree can be obtained. Each node in the spatial decision tree corresponds to a set of input feature vectors and the target variable corresponding to each input feature vector. Regression analysis is performed on the input feature vectors and their corresponding target variables on each node, and the feature vector function of each node is constructed to obtain the initial control model, where the feature vector function is the functional relationship between the input feature vector and the target variable.

[0113] The above-mentioned eigenvector function can be constructed through a machine learning model or a linear regression model, and there is no limitation on this. After determining the eigenvector function of each node, the initial control model can be obtained. When using the initial control model, the demand eigenvector including weather parameters, indoor temperature before power-on, and indoor temperature after power-on is input, and the corresponding node is searched in the spatial decision tree according to the demand eigenvector. After determining the node, the demand eigenvector is substituted into the eigenvector function of the corresponding node to obtain the target variable corresponding to the demand eigenvector, that is, the initial control parameters corresponding to each spatial environment are obtained. Based on the initial control parameters of each spatial environment, a first temperature control signal is sent to each spatial environment.

[0114] Furthermore, the first temperature control signal includes a control signal of a temperature setting value, and the initial control parameters include a cold storage tag, a cooling cost, and a temperature control coefficient;

[0115] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0116] According to the cold storage label, combined with the cooling cost and temperature control coefficient of each space environment, each space environment is ranked to obtain the first ranking result;

[0117] Combined with the scheduling parameters of each space environment, the first sorting result is adjusted to give the second sorting result and the total cooling cost;

[0118] Based on the current electricity price or carbon factor, the temperature satisfaction rate of the total area is given;

[0119] Based on the temperature satisfaction rate, the cost ratio of the cooling cost of each space environment to the total cooling cost is analyzed to determine the control signal of the temperature setting value corresponding to each space environment.

[0120] Scheduling parameters include whether the environment participates in scheduling, whether the environment is in a schedulable time period, whether the continuous scheduling duration exceeds a threshold, and whether the cumulative scheduling duration for the day exceeds a threshold. Whether the environment participates in scheduling indicates whether the temperature setting value of the corresponding space environment is variable. For example, environments such as cold storage have fixed temperature settings and are therefore not scheduled. Whether the environment is in a schedulable time period indicates whether the current time is within the schedulable time period for the corresponding space environment's temperature setting value. If so, the temperature setting value of the corresponding space environment can be adjusted; if not, the temperature setting value of the corresponding space environment cannot be adjusted. Whether the continuous scheduling duration exceeds a threshold indicates whether the continuous duration of the schedulable temperature setting value of the corresponding space environment exceeds a corresponding duration threshold. If so, the temperature setting value of the corresponding space environment cannot be adjusted; if not, the temperature setting value of the corresponding space environment can be adjusted. Whether the cumulative scheduling duration exceeds a threshold indicates whether the cumulative duration of the schedulable temperature setting value of the corresponding space environment exceeds a corresponding duration threshold. If so, the temperature setting value of the corresponding space environment cannot be adjusted; if not, the temperature setting value of the corresponding space environment can be adjusted. If the cold storage label of the space environment is "no cold storage required", then based on the initial control model, the temperature control coefficient and cooling cost of the corresponding space environment are obtained. The space environments are sorted in descending order according to the order in which the temperature control coefficient is better than the cooling cost, that is, they are sorted from large to small according to the temperature control coefficient. If the temperature control coefficients are the same, the cooling costs of the space environments are compared and sorted in descending order according to the cooling cost to obtain the first sorting result. The temperature control coefficient indicates the difficulty of lowering / raising the indoor temperature of each space environment from the pre-startup temperature to the space target temperature.

[0121] According to the scheduling parameters, the first sorting result is adjusted to obtain the second sorting result. If the scheduling parameters of the spatial environment meet any of the following conditions: not participating in scheduling, not within the scheduling time period, continuous scheduling time exceeding the threshold, or cumulative scheduling time on the day exceeding the threshold, it will be eliminated from the first sorting result to obtain the second sorting result and the cooling costs of each spatial environment in the second sorting result will be summed to obtain the total cooling cost.

[0122] According to the current electricity price or carbon factor P current Corresponding to the preset range [P min ,P max ], and the coefficient W is satisfied;

[0123] According to the current temperature T current Corresponding temperature range [T Target_min ,P Target_max ], and obtain the temperature coefficient S;

[0124] The temperature satisfaction rate is obtained by combining the satisfaction coefficient and the temperature coefficient.

[0125] The temperature satisfaction rate indicates the satisfaction of the total area including each spatial environment with the temperature. The temperature satisfaction rate R is specifically expressed as: R = W × S;

[0126]

[0127] If P current Close to P min , then W is close to 0. If P current Close to P max , then W is close to 1. If T current In the corresponding temperature range [T Target_min ,P Target_max ], the temperature coefficient S is between 0 and 1. If T current Higher than P Target_max , temperature coefficient S=1. If T current Lower than T Target_min , temperature coefficient S=0.

[0128] Calculate the ratio of the cooling cost for each space to the total cooling cost and compare the cost ratio to (1-R). When the difference between the cost ratio and (1-R) ​​is minimized, set the temperature setting for the space corresponding to the numerator of the cost ratio as the upper limit for the cooling season. Set the temperature setting for the other spaces as the target temperature for the cooling season. The upper limit and target temperature for the cooling season are set based on actual conditions and are not limited.

[0129] When the difference between the cost ratio and (1-R) ​​is the smallest, it can be expressed as follows:

[0130]

[0131] Among them, Ci is the cooling cost of the i-th spatial environment, m is the first m spatial environments in the second sorting result, and Ctotal is the total cooling cost.

[0132] Furthermore, the first temperature control signal includes a control signal for the on time and a control signal for the off time, and the initial control parameters include the on time, the cold storage on time, the off time, the space activation time, and the space closing time;

[0133] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0134] Obtain the power-on time, cooling storage on time, power-off time, space activation time, and space shutdown time of each space environment;

[0135] Analyze and compare the power-on time and cooling storage time of each space environment, and provide the target power-on time for each space environment;

[0136] Match the target opening duration of each space environment with the space activation time, and send a corresponding opening time control signal;

[0137] Match the shutdown duration of each space environment with the space closing time, and send a control signal for the corresponding closing time.

[0138] In a specific embodiment, the startup duration is the duration required to start the cooling machine in the corresponding space environment, the cold storage startup duration is the duration required to start the cooling machine in the corresponding space environment in advance, the shutdown duration is the duration required to shut down the cooling machine in the corresponding space environment, the space activation time is the space activation time of the corresponding space environment, and the space shutdown time is the space shutdown time of the corresponding space environment. The startup duration T of the i-th space environment is obtained. c_i , Cold storage opening time T s_i , shutdown time T off_i , space activation time T start_i And the space closing time T end_i , analyze and compare the boot time T of the i-th space environment c_i And the cold storage opening time T s_i , set the boot time to T c_i And the cold storage opening time T s_i The larger value in the target opening time T of the corresponding space environment Target_strart_i , specifically expressed as:

[0139] T Target_strart_i =max(T c_i ,T s_i )

[0140] Match the target opening duration of each spatial environment with the space activation time of the corresponding spatial environment, calculate the difference between the space activation time and the target opening duration, and obtain the opening time T of each spatial environment. Ctrl_strart_i =T start_i -TTarget_strart_i , and sends out a control signal corresponding to the opening time to control the opening.

[0141] Match the shutdown duration of each space environment with the space closing time of the corresponding space environment, calculate the difference between the space closing time and the shutdown duration, and obtain the closing time T of each space environment. Ctrl_end_i =T end_i -T off_i , and sends a control signal corresponding to the closing time to control the closing.

[0142] It can be understood that the time required for pre-startup is determined based on the larger of the power-on duration and the cooling storage on duration, ensuring that the corresponding cooling units are fully powered on when the space is open for business, ensuring user comfort. By shutting down the cooling units in the corresponding space before the space closes, the cooling units are fully powered off by the time the space closes, effectively reducing energy consumption.

[0143] After determining the temperature setting value, opening time and closing time of each space environment, in order to better improve energy utilization efficiency and reduce energy consumption, the present invention also includes controlling the chilled water outlet temperature and the chilled water supply and return water temperature difference.

[0144] Furthermore, the first temperature control signal also includes a control signal of the chilled water outlet temperature and / or a control signal of the chilled water supply and return temperature difference, and the initial control parameters also include the real-time temperature and scheduling attributes of the space environment;

[0145] Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including:

[0146] According to the real-time temperature and the temperature setting value of each space environment, the difference between the real-time temperature and the temperature setting value of each space environment is calculated to obtain the temperature deviation of each space environment;

[0147] Collecting and analyzing temperature deviations at multiple moments in a first continuous period and a second continuous period in each spatial environment to obtain a first spatial set and a second spatial set, wherein the second continuous period includes the first continuous period;

[0148] Combined with the scheduling attributes of each spatial environment, each temperature deviation in the first spatial set and the second spatial set is judged, and the spatial environment anomaly type of each spatial environment is given;

[0149] Based on the type of spatial environment anomaly, the adjustment parameters of the chilled water outlet temperature and / or the chilled water supply and return temperature difference are determined, and corresponding chilled water outlet temperature control signals and / or chilled water supply and return temperature difference control signals are issued.

[0150] It is understandable that before controlling the chilled water outlet temperature and / or the chilled water supply and return temperature difference according to the first temperature control signal, it is necessary to first determine whether each space environment is in non-business hours or whether there is cooling / heating demand based on the work calendar configuration. If some space environments are in non-business hours or there is no cooling / heating demand, the corresponding space environment will not participate in the calculation and analysis.

[0151] In one specific embodiment, the temperature deviation at the current moment in each spatial environment is first calculated, that is, the difference between the real-time temperature and the set temperature value in each spatial environment is calculated. The temperature deviations at multiple moments in a first continuous period and a second continuous period in each spatial environment are then analyzed to obtain a first spatial set and a second spatial set. The second continuous period includes the first continuous period, for example, the second continuous period is the 30 minutes before the current moment, and the first continuous period is the 15 minutes before the current moment. The lengths of the continuous periods can be adjusted in different examples, and this is not a limitation.

[0152] In a specific example, the current time is 10:00, the first continuous period is 9:30-10:00, and the second continuous period is 9:45-10:00. Multiple temperature deviations in the first continuous period are obtained in each spatial environment, including temperature deviation A1 at 10:00, temperature deviation A2 at 9:55, temperature deviation A3 at 9:50, temperature deviation A4 at 9:45, temperature deviation A5 at 9:40, and temperature deviation A6 at 9:35. Finally, a first spatial set S1 and a second spatial set S2 of 30 minutes and 15 minutes are obtained respectively, wherein the first spatial set includes the first deviation mean of the multiple temperature deviations in the first continuous period in each spatial environment, and the second spatial set includes the second deviation mean of the multiple temperature deviations in the second continuous period in each spatial environment.

[0153] The scheduling attribute of a space environment can be either schedulable or non-schedulable. The scheduling attribute of each space environment is related to its purpose and importance. It is a default attribute determined by the owner of each space environment. For example, if the space environment is a computer room or cold storage, the corresponding scheduling attribute is non-schedulable. Owners can also customize the scheduling attributes of each space environment.

[0154] Since the unschedulable space environment is more important, in order to effectively ensure the temperature change of the unschedulable space environment, the first deviation mean of the unschedulable space environment in the first space set is first judged and analyzed. If the first deviation mean exceeds the preset temperature deviation range, the space environment anomaly type of the corresponding space environment is the first high temperature anomaly. If the first deviation mean is lower than the preset temperature deviation range, the corresponding anomaly type is the first low temperature anomaly. If the first deviation mean is within the preset temperature deviation range, there is no space environment anomaly in the corresponding space environment.

[0155] At the same time, the second deviation mean of the unschedulable spatial environments in the second spatial set is judged and analyzed. If the second deviation mean exceeds the preset temperature deviation range, the corresponding anomaly type is a second high temperature anomaly. If the second deviation mean is lower than the preset temperature deviation range, the corresponding anomaly type is a second low temperature anomaly. If the second deviation mean is within the preset temperature deviation range, the corresponding spatial environment does not have a spatial environment anomaly. For example, if the preset temperature deviation range is [-0.5, 0.5], if the second deviation mean is less than -0.5, the spatial environment anomaly type is a first low temperature anomaly or a second low temperature anomaly. If the second deviation mean is greater than 0.5, the spatial environment anomaly type is a first high temperature anomaly or a second high temperature anomaly.

[0156] Furthermore, based on the scheduling attributes of each space environment, the temperature deviations in the first space set and the second space set are judged, and the abnormal type of the space environment of each space environment is given. Figure 3 , specifically including:

[0157] Based on the scheduling attributes of each spatial environment, the first spatial set and the second spatial set are respectively screened, and a spatial environment with a scheduling attribute that is schedulable is given, thereby obtaining a first schedulable spatial set and a second schedulable spatial set;

[0158] Based on the preset temperature deviation range, the relationship between the temperature deviation and the temperature deviation range in the first schedulable space set and the second schedulable space set is analyzed respectively, and the number of spaces corresponding to different relationships is given;

[0159] Based on the number of spaces, obtaining a first satisfaction rate corresponding to the first schedulable space set and a second satisfaction rate corresponding to the second schedulable space set;

[0160] The first satisfaction rate and the second satisfaction rate are matched with a preset satisfaction rate range respectively to determine the spatial environment anomaly type of each spatial environment.

[0161] In a specific embodiment, spatial environments with schedulable scheduling attributes are screened out from the first spatial set and the second spatial set to obtain a first schedulable spatial set and a second schedulable spatial set. The number of spatial environments in the first schedulable spatial set whose first deviation mean is lower than the temperature deviation range is counted to obtain a first spatial quantity. The ratio of the first low quantity to the total number of spatial environments in the first schedulable spatial set is calculated to obtain a first satisfaction rate. If the first satisfaction rate is lower than the first satisfaction threshold, the spatial environment anomaly type is a first low temperature anomaly. If the first satisfaction rate is higher than the second satisfaction threshold, the spatial environment anomaly type is a first high temperature anomaly.

[0162] At the same time, the number of spatial environments in the second schedulable spatial set whose second deviation mean is below the temperature deviation range is counted to obtain the second number of spaces. The ratio of the second number of spaces to the total number of spatial environments in the second schedulable spatial set is calculated to obtain the second satisfaction rate. If the second satisfaction rate is lower than the first satisfaction threshold, the spatial environment anomaly type is a second low temperature anomaly. If the second satisfaction rate is higher than the second satisfaction threshold, the spatial environment anomaly type is a second high temperature anomaly.

[0163] If the spatial environment abnormality type is high temperature, the corresponding spatial environment is persistently hot. In this case, the chilled water supply and return temperature difference setting should be lowered. For example, the chilled water supply and return temperature difference could be reduced by 1°C. However, the set value cannot be reduced indefinitely. In this example, due to shell range limitations, the reduction cannot exceed 2°C. If the spatial environment abnormality type is low temperature, the corresponding spatial environment is persistently cold. In this case, the chilled water supply and return temperature difference setting should be increased. For example, the chilled water supply and return temperature difference could be increased by 1°C. However, the set value cannot be increased indefinitely. In this example, due to shell range limitations, the increase cannot exceed 8°C. The chilled water supply and return temperature difference adjustment instruction, i.e., the first temperature control signal containing the adjustment parameters, requires a protection time. During this protection time, no new chilled water supply and return temperature difference adjustment instructions will be accepted. In this example, the protection time is 15 minutes. This protection time can be adjusted based on actual conditions and is not limited.

[0164] When the spatial environment abnormality type is the second high temperature abnormality, it indicates that the corresponding spatial environment is persistently hot. In this case, the chilled water outlet temperature setting should be lowered, for example, by 1°C. However, the chilled water outlet temperature setting cannot be lowered indefinitely. In this example, due to shell range limitations, the chilled water outlet temperature cannot be lowered below 7°C. When the spatial environment abnormality type is the second low temperature abnormality, it indicates that the corresponding spatial environment is persistently cold. In this case, the chilled water outlet temperature setting should be increased, for example, by 1°C. However, the chilled water outlet temperature setting cannot be lowered indefinitely. In this example, due to shell range limitations, the chilled water outlet temperature cannot be lowered below 13°C. It is understood that the chilled water outlet temperature adjustment instruction, i.e., the first temperature control signal containing the adjustment parameters, requires a protection time. During this protection time, no new chilled water outlet temperature adjustment instructions will be accepted. In this example, the protection time is 15 minutes. This protection time can be adjusted based on actual conditions and is not limited.

[0165] Furthermore, the first temperature control signal also includes a control signal for the number of chillers, and the initial control parameters also include the current load rate of the chiller, the evaporator outlet water temperature corresponding to the chiller, and the chilled water outlet temperature;

[0166] Based on the initial control parameters of each space environment, a first temperature control signal is sent to each space environment, referring to Figure 4 , specifically including:

[0167] Based on the operating status of each chiller, the current load rate of each chiller and the temperature difference between the evaporator outlet water temperature and the chilled water outlet temperature are analyzed to provide the chiller operating indicators;

[0168] Conduct integrated analysis of all chiller operation indicators to determine the overall operation indicators;

[0169] Based on the overall operating indicators, the overall operating indicators in the continuous time period are judged, and the current evaporator outlet water temperature and chilled water outlet temperature are obtained, and the water temperature difference between the evaporator outlet water temperature and the chilled water outlet temperature is given;

[0170] Combine the rated power of each chiller and merge the water temperature difference to obtain the standard water temperature difference;

[0171] Based on the judgment of the standard water temperature difference, a control signal for the number of chillers is output.

[0172] In a specific embodiment, the operating status of all chillers is first obtained, including online and offline states. Then, the relationship between the current load rate of each chiller in the online state and a preset current load rate threshold, the evaporator outlet water temperature and a preset evaporator water temperature threshold, and the chilled water outlet temperature and a preset chilled water threshold is determined. When the current load rate, evaporator outlet water temperature, and chilled water outlet temperature of each chiller exceed their corresponding thresholds, the chiller is overloaded and requires additional chillers. The corresponding chiller operating indicator is overloaded. Conversely, if any of the current load rate, evaporator outlet water temperature, and chilled water outlet temperature of each chiller does not exceed its corresponding threshold, the chiller has not reached its operating load and does not require additional chillers. The corresponding chiller operating indicator is not overloaded. If any of the chiller operating indicators for all chillers indicates that they are not overloaded, the overall operating indicator is not overloaded. Conversely, if none of the chiller operating indicators for all chillers indicates that they are not overloaded, the overall operating indicator is overloaded.

[0173] To prevent jitter at a single moment, continuous assessment of the chiller is required. Specifically, if the overall operating indicator at the current moment is overloaded, the overall operating indicator for a continuous time period must be assessed. In this example, the continuous time period is 30 minutes, and the overall operating indicator is assessed every 5 minutes, requiring assessment of the overall operating indicator for six moments. In other implementations, the length of the continuous time period and the sampling interval can be adjusted, and this is not a limitation. If multiple overall operating indicators within a continuous time period are all overloaded, the number of additional chillers must be calculated. If at least one of the multiple overall operating indicators within a continuous time period is not overloaded, indicating that the demand for additional chillers is unstable, the current state is maintained.

[0174] Furthermore, the water temperature difference is integrated with the rated power of each chiller to obtain the standard water temperature difference, which specifically includes:

[0175] Obtain the rated power of the chiller whose chiller operation indicator is overload;

[0176] Calculate the ratio of the rated power of each chiller to the sum of the rated powers of all chillers to obtain the weighting coefficient of each chiller;

[0177] Based on the weighted coefficients of each chiller, the water temperature differences of each chiller are weighted and summed to obtain the standard water temperature difference.

[0178] The standard water temperature difference is specifically expressed as:

[0179]

[0180] Among them, M is the standard water temperature difference, Q i is the rated power of the i-th chiller, E i is the evaporator outlet water temperature of the i-th chiller, S i is the chilled water outlet temperature of the i-th chiller, η i is the weighted coefficient of the i-th chiller.

[0181] After obtaining the standard water temperature difference, the standard water temperature difference is judged against the preset difference threshold. The larger the standard water temperature difference, the greater the current cooling capacity shortage, and more chillers need to be turned on. For example, when M>2, a large chiller is turned on; when 1<M≤2, a small chiller is turned on; when M<1, it means that the current state can be maintained and the chiller is not turned on.

[0182] Reference Figure 5 The embodiment of the present invention provides an energy-saving group control method based on distributed spatial environment perception, including:

[0183] Based on the work calendar configuration, a first temperature control signal is given for each space environment;

[0184] Analyze the received user instruction and provide a second temperature control signal for the corresponding space environment;

[0185] Based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed.

[0186] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described steps can refer to the corresponding process in the aforementioned device embodiment, and will not be repeated here.

[0187] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the invention. Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the invention. Thus, the present invention is intended to include such changes and modifications as fall within the scope of the claims and their equivalents.

Claims

1. An energy-saving group control device based on distributed spatial environment perception, characterized in that: Specifically include: A control management module, a centralized control module and multiple terminal control modules, wherein the centralized control module and each terminal control module are respectively communicated with the control management module; A centralized control module, configured to provide a first temperature control signal for each space environment based on a work calendar configuration; The terminal control module is used to analyze the received user instructions and provide a second temperature control signal for the corresponding space environment; The control management module is used to determine the first temperature control signal or the second temperature control signal as the target control signal based on a preset control priority strategy, and perform temperature control on the space environment.

2. The energy-saving group control device based on distributed spatial environment perception according to claim 1, characterized in that: Based on the work calendar configuration, a first temperature control signal is given for each space environment, specifically including: Collect current weather data and current indoor data of each spatial environment; Combined with the work calendar configuration, based on the pre-built initial control model, the current environmental data and current indoor data are analyzed to provide the initial control parameters corresponding to each spatial environment; Based on the initial control parameters of each spatial environment, a first temperature control signal is respectively issued to each spatial environment.

3. The energy-saving group control device based on distributed spatial environment perception according to claim 2, characterized in that: The construction of the initial control model is determined by the following steps: Obtain historical control training data, including historical weather data and historical indoor temperatures before and after startup, historical startup times, historical shutdown times, historical cooling storage startup durations, historical cooling storage labels, historical temperature control coefficients, and historical cooling costs for each space environment. The input feature vector is constructed by integrating historical weather data and the historical indoor temperature before and after power-on of each spatial environment. Combining at least one of historical startup time, historical shutdown time, historical cold storage startup duration, historical cold storage label, historical temperature control coefficient, and historical cooling cost to form a target variable; According to the variable value of each target variable, the corresponding input feature vector is divided to construct a spatial decision tree; Regression analysis is performed on the input feature vector set of each node in the spatial decision tree, and the feature vector function of each node is constructed to obtain the initial control model, where the feature vector function is the functional relationship between the input feature vector and the target variable.

4. The energy-saving group control device based on distributed spatial environment perception according to claim 2, characterized in that: The first temperature control signal includes a control signal of a temperature setting value, and the initial control parameters include a cold storage tag, a cooling cost, and a temperature control coefficient; Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including: According to the cold storage label, combined with the cooling cost and temperature control coefficient of each space environment, each space environment is ranked to obtain the first ranking result; Combined with the scheduling parameters of each space environment, the first sorting result is adjusted to give the second sorting result and the total cooling cost; Based on the current electricity price or carbon factor, the temperature satisfaction rate of the total area is given; Based on the temperature satisfaction rate, the cost ratio of the cooling cost of each space environment to the total cooling cost is analyzed to determine the control signal of the temperature setting value corresponding to each space environment.

5. The energy-saving group control device based on distributed spatial environment perception according to claim 2, characterized in that: The first temperature control signal includes a control signal for the on time and a control signal for the off time, and the initial control parameters include the on time, the cold storage on time, the off time, the space activation time, and the space closing time; Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including: Obtain the power-on time, cooling storage on time, power-off time, space activation time, and space shutdown time of each space environment; Analyze and compare the power-on time and cooling storage time of each space environment, and provide the target power-on time for each space environment; Match the target opening duration of each space environment with the space activation time, and send a corresponding opening time control signal; Match the shutdown duration of each space environment with the space closing time, and send a control signal for the corresponding closing time.

6. The energy-saving group control device based on distributed spatial environment perception according to claim 4, characterized in that: The first temperature control signal also includes a control signal of the chilled water outlet temperature and / or a control signal of the chilled water supply and return temperature difference, and the initial control parameters also include the real-time temperature of the space environment and the scheduling attributes; Based on the initial control parameters of each space environment, a first temperature control signal is issued to each space environment, specifically including: According to the real-time temperature and the temperature setting value of each space environment, the difference between the real-time temperature and the temperature setting value of each space environment is calculated to obtain the temperature deviation of each space environment; Collecting and analyzing temperature deviations at multiple moments in a first continuous period and a second continuous period in each spatial environment to obtain a first spatial set and a second spatial set, wherein the second continuous period includes the first continuous period; Combined with the scheduling attributes of each spatial environment, each temperature deviation in the first spatial set and the second spatial set is judged, and the spatial environment anomaly type of each spatial environment is given; Based on the type of spatial environment anomaly, the adjustment parameters of the chilled water outlet temperature and / or the chilled water supply and return temperature difference are determined, and corresponding chilled water outlet temperature control signals and / or chilled water supply and return temperature difference control signals are issued.

7. The energy-saving group control device based on distributed spatial environment perception according to claim 6, characterized in that: Combined with the scheduling attributes of each spatial environment, the temperature deviations in the first and second spatial sets are judged, and the spatial environment anomaly types of each spatial environment are given, including: Based on the scheduling attributes of each spatial environment, the first spatial set and the second spatial set are respectively screened, and a spatial environment with a scheduling attribute that is schedulable is given, thereby obtaining a first schedulable spatial set and a second schedulable spatial set; Based on the preset temperature deviation range, the relationship between the temperature deviation and the temperature deviation range in the first schedulable space set and the second schedulable space set is analyzed respectively, and the number of spaces corresponding to different relationships is given; Based on the number of spaces, obtaining a first satisfaction rate corresponding to the first schedulable space set and a second satisfaction rate corresponding to the second schedulable space set; The first satisfaction rate and the second satisfaction rate are matched with a preset satisfaction rate range respectively to determine the spatial environment anomaly type of each spatial environment.

8. The energy-saving group control device based on distributed spatial environment perception according to claim 1, characterized in that: Based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed, specifically including: Determining the priority of the first temperature control signal and the second temperature control signal according to a preset control priority strategy; If the priority of the first temperature control signal is higher than the priority of the second temperature control signal, the target control signal is determined in combination with the end protection time of the second temperature control signal, and the temperature control of the space environment is performed.

9. The energy-saving group control device based on distributed spatial environment perception according to claim 8, characterized in that: The preset control priority strategy is determined by the following steps: Analyze the operating data of the refrigeration machine in each space environment and provide the peak operating hours of the refrigeration machine in each space environment; During peak hours in each space environment, the centralized control module is retained to control the chiller, and the control priority of the centralized control module and the terminal control module is adjusted; Based on the environmental data in each spatial environment, the distribution of personnel in each spatial environment is obtained, and the number of personnel is obtained; Adjust the control priority of the centralized control module and the terminal control module based on the number of people in each spatial environment.

10. An energy-saving group control method based on distributed spatial environment perception, characterized in that: An energy-saving group control device based on distributed spatial environment perception as described in any one of claims 1 to 9 is adopted, comprising: Based on the work calendar configuration, a first temperature control signal is given for each space environment; Analyze the received user instruction and provide a second temperature control signal for the corresponding space environment; Based on a preset control priority strategy, the first temperature control signal or the second temperature control signal is determined as a target control signal, and temperature control of the space environment is performed.

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