Evaluation method and device of environment control system and environment control system

Abstract

The invention discloses an evaluation method of an environment control system. The evaluation method comprises the following steps: acquiring operation data, a first-dimension evaluation standard and a second-dimension evaluation standard of the environment control system; wherein the first dimension evaluation standard and the second dimension evaluation standard are evaluation standards of different dimensions corresponding to different subsystems or devices in the environment control system; performing first-dimension evaluation according to the first-dimension evaluation standard and the operation data to obtain a first-dimension score; performing second-dimension evaluation according to the second-dimension evaluation standard and the operation data to obtain a second-dimension score; and obtaining operation evaluation according to the first dimension score and the second dimension score. According to the evaluation method of the environment control system, evaluation of different dimensions corresponding to different subsystems or devices in the environment control system can be taken into consideration for multi-dimensional fault evaluation analysis, the problems of low-efficiency work, improper control functions and the like of the environment control system can be found in time, and therefore operation and maintenance work can be effectively guided according to operation evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of system operation evaluation, and in particular to an evaluation method and device of an environmental control system and the environmental control system. BACKGROUND

[0002] Optimized operation and maintenance of an environmental control system is the key to ensuring the performance of the environmental control system, which can help operation and maintenance personnel to timely find and solve problems such as equipment failure, system inefficiency, unreasonable equipment operation, and improper control.

[0003] However, the current operation and maintenance and evaluation scheme of the environmental control system takes the energy efficiency of the machine room as the operation and maintenance target, which may lead to an evaluation result that cannot balance the energy efficiency and function of the air conditioning system, and guide the wrong operation and maintenance direction. SUMMARY

[0004] Therefore, the present application aims to at least partially solve one of the problems in the related art. To this end, the present application aims to provide an evaluation method and device of an environmental control system and the environmental control system.

[0005] The present application provides an evaluation method of an environmental control system. The evaluation method comprises: obtaining operation data of the environmental control system, a first dimension evaluation standard, and a second dimension evaluation standard; wherein the first dimension evaluation standard and the second dimension evaluation standard are different dimension evaluation standards corresponding to different subsystems or devices in the environmental control system; performing first dimension evaluation according to the first dimension evaluation standard and the operation data to obtain a first dimension score; performing second dimension evaluation according to the second dimension evaluation standard and the operation data to obtain a second dimension score; and obtaining an operation evaluation according to the first dimension score and the second dimension score.

[0006] In some embodiments, after obtaining the operation data of the environmental control system, the evaluation method comprises: preprocessing the operation data to obtain processed operation data.

[0007] In some embodiments, obtaining the operation data of the environmental control system comprises: obtaining historical operation data of the environmental control system in a previous time period at a current time.

[0008] In some embodiments, the first dimension evaluation standard is a functional evaluation standard, and the second dimension evaluation standard is an energy-saving evaluation standard.

[0009] In some embodiments, the functional evaluation criteria include a chilled water control evaluation criteria, and the first-dimension evaluation according to the first-dimension evaluation criteria and the operation data to obtain a first-dimension score includes obtaining the chilled water control functional score according to the chilled water control evaluation criteria and the operation data.

[0010] In some embodiments, the chilled water control evaluation criteria include a number of first-level alarms and a number of second-level alarms of a chilled water supply temperature and a number of first-level alarms and a number of second-level alarms of a chilled water flow rate, and the obtaining of the chilled water control functional score according to the chilled water control evaluation criteria and the operation data includes determining the number of first-level alarms and the number of second-level alarms of the chilled water supply temperature and the chilled water flow rate according to the operation data, and calculating the chilled water control functional score according to the number of first-level alarms and the number of second-level alarms of the chilled water supply temperature and the chilled water flow rate.

[0011] In some embodiments, the chilled water control functional score is calculated according to the following conditional expression:

[0012] F_ld i = (100 - B F_ld × a - C F_ld × b)

[0013] wherein F_ld i is the chilled water control functional score, B f_ld is the number of first-level alarms of the chilled water supply temperature and the chilled water flow rate, C f_ld is the number of second-level alarms of the chilled water supply temperature and the chilled water flow rate, and a and b are weights.

[0014] In some embodiments, the functional evaluation criteria include a public area room temperature comfort evaluation criteria, and the first-dimension evaluation according to the first-dimension evaluation criteria and the operation data to obtain a first-dimension score includes obtaining the public area room temperature comfort functional score according to the public area room temperature comfort evaluation criteria and the operation data.

[0015] In some embodiments, the public area room temperature comfort evaluation criterion comprises a proportion of indoor temperatures of different public area sensors within a preset temperature range; and the public area room temperature comfort functionality score is obtained according to the public area room temperature comfort evaluation criterion and the operation data, which comprises: determining the proportion of indoor temperatures of the public area sensors within the preset temperature range according to the operation data and a mapping relationship table in which the proportion of indoor temperatures of the public area sensors within the preset temperature range corresponds to different room temperature comfort functionality scores, and calculating a plurality of room temperature comfort functionality scores corresponding to a plurality of public areas; and the public area room temperature comfort functionality score is calculated according to the plurality of room temperature comfort functionality scores.

[0016] In some embodiments, the public area room temperature comfort functionality score is calculated according to the following condition formula:

[0017]

[0018] In the formula, F_com i is the public area room temperature comfort functionality score; T j is a comfort functionality score corresponding to the proportion of indoor temperatures of different public area sensors within a preset temperature range; and n is the number of public area temperature sensors.

[0019] In some embodiments, the energy saving evaluation criterion comprises a system energy saving evaluation criterion, and the second dimension evaluation is performed according to the second dimension evaluation criterion and the operation data to obtain a second dimension score, which comprises: obtaining the system energy saving functionality score according to the system energy saving evaluation criterion and the operation data.

[0020] In some embodiments, the system energy saving evaluation criterion comprises the number of first-level alarms and the number of second-level alarms of at least one air conditioning subsystem; and the system energy saving functionality score is obtained according to the system energy saving evaluation criterion and the operation data, which comprises: determining the number of first-level alarms and the number of second-level alarms of the at least one air conditioning subsystem according to the operation data; determining an energy saving functionality score of the at least one air conditioning subsystem according to the number of first-level alarms and the number of second-level alarms of the at least one air conditioning subsystem; and calculating the system energy saving functionality score according to the energy saving functionality score of the at least one air conditioning subsystem.

[0021] In some embodiments, the system energy saving functionality score is calculated according to the following condition formula:

[0022]

[0023] In the formula, E i The score for the system's energy efficiency index; A k The energy efficiency score is given for at least one air conditioning subsystem; m(k) is the total number of air conditioning subsystems, and k is the number of alarms.

[0024] In some embodiments, the energy efficiency evaluation criteria include equipment energy efficiency evaluation criteria, and the second-dimensional evaluation based on the second-dimensional evaluation criteria and the operating data to obtain the second-dimensional score includes: obtaining the equipment energy efficiency score based on the equipment energy efficiency evaluation criteria and the operating data.

[0025] In some embodiments, the energy-saving evaluation criteria for the equipment includes an energy-saving evaluation criteria for at least one piece of equipment; obtaining the energy-saving score of the equipment based on the energy-saving evaluation criteria and the operating data includes: determining the energy-saving score of the at least one piece of equipment based on the operating data and the energy-saving evaluation criteria for the at least one piece of equipment, wherein the at least one piece of equipment includes a cooling water pump, a chilled water pump, a chiller unit, and / or a cooling tower; and calculating the energy-saving score of the equipment based on the energy-saving score of the at least one piece of equipment.

[0026] This application also provides an evaluation device for an environmental control system. The evaluation device includes: an acquisition module, a first scoring module, a second scoring module, and an evaluation module. The acquisition module is used to acquire the operating data of the environmental control system, a first-dimensional evaluation standard, and a second-dimensional evaluation standard; the first scoring module is used to perform a first-dimensional evaluation based on the first-dimensional evaluation standard and the operating data to obtain a first-dimensional score; the second scoring module is used to perform a second-dimensional evaluation based on the second-dimensional evaluation standard and the operating data to obtain a second-dimensional score; the evaluation module is used to obtain an operational evaluation for the environmental control system based on the first-dimensional score and the second-dimensional score.

[0027] This application also provides an environmental control system. The environmental control system is used to perform the evaluation method described in any of the above embodiments.

[0028] The evaluation method for the environmental control system proposed in this application can take into account the evaluation of different dimensions corresponding to different subsystems or equipment in the environmental control system to conduct multi-dimensional fault evaluation analysis, promptly identify problems such as inefficient operation and improper control functions of the environmental control system, and thus effectively guide operation and maintenance work based on the operation evaluation.

[0029] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0030] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0031] Figure 1 This is a flowchart illustrating the evaluation method for an environmental control system according to certain embodiments of this application;

[0032] Figure 2 This is a schematic diagram of the structure of an evaluation device for an environmental control system according to certain embodiments of this application;

[0033] Figure 3 This is a schematic diagram of the structure of an evaluation device for an environmental control system according to certain embodiments of this application;

[0034] Figure 4 This is a flowchart illustrating the evaluation method for an environmental control system according to certain embodiments of this application;

[0035] Figure 5 This is a flowchart illustrating the evaluation method for an environmental control system according to certain embodiments of this application;

[0036] Figure 6 This is a flowchart illustrating the evaluation method for an environmental control system according to certain embodiments of this application;

[0037] Figure 7 This is a flowchart illustrating the evaluation method for an environmental control system according to certain embodiments of this application;

[0038] Figure 8 This is a schematic diagram illustrating the relationship between the functional score of public area comfort and date in the evaluation method of environmental control system of certain embodiments of this application;

[0039] Figure 9 This is a schematic diagram showing the relationship between system energy efficiency rating and date in some embodiments of this application. Detailed Implementation

[0040] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0041] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance, or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0042] In the description of this application, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation" and "connection" should be interpreted broadly, referring to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections, or connections that allow communication between components; direct connections or indirect connections through an intermediate medium; and connections within two components or interactions between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0043] The following disclosure provides many different implementations or examples for carrying out different structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. Of course, these are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various implementations and / or arrangements discussed.

[0044] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0045] Please see Figure 1 This application provides an evaluation method for an environmental control system. The evaluation method includes:

[0046] 01: Obtain the operating data of the environmental control system, the first-dimensional evaluation criteria, and the second-dimensional evaluation criteria; wherein, the first-dimensional evaluation criteria and the second-dimensional evaluation criteria are different dimensions of evaluation criteria corresponding to different subsystems or devices in the environmental control system;

[0047] 03: Based on the first-dimensional evaluation criteria and operational data, conduct a first-dimensional evaluation to obtain a first-dimensional score;

[0048] 05: A second-dimensional evaluation is conducted based on the second-dimensional evaluation criteria and operational data to obtain the second-dimensional score; and

[0049] 07: Based on the first dimension score and the second dimension score, the operational evaluation is obtained.

[0050] Please see Figure 2 This application also provides an evaluation device 10 for an environmental control system. The evaluation device 10 includes an acquisition module 11, a first scoring module 13, a second scoring module 15, and an evaluation module 17.

[0051] Step 01 can be implemented by the acquisition module 11, step 02 by the first scoring module 13, step 03 by the second scoring module 15, and step 04 by the evaluation module 17. That is, the acquisition module 11 is used to acquire the operating data of the environmental control system, the first-dimensional evaluation standard, and the second-dimensional evaluation standard; wherein, the first-dimensional evaluation standard and the second-dimensional evaluation standard are different-dimensional evaluation standards corresponding to different subsystems or devices in the environmental control system; the first scoring module 13 is used to perform a first-dimensional evaluation based on the first-dimensional evaluation standard and the operating data to obtain a first-dimensional score; the second scoring module 15 is used to perform a second-dimensional evaluation based on the second-dimensional evaluation standard and the operating data to obtain a second-dimensional score; and the evaluation module 17 is used to obtain an operational evaluation based on the first-dimensional score and the second-dimensional score.

[0052] Specifically, firstly, the operational data of the environmental control system, the first-dimensional evaluation criteria, and the second-dimensional evaluation criteria are obtained. The operational data of the environmental control system includes different operational data corresponding to different subsystems or devices within the environmental control system, such as operational data of the air conditioning subsystem, and operational data of equipment such as cooling water pumps, chilled water pumps, chillers, and cooling towers.

[0053] The first and second dimension evaluation criteria are different evaluation standards corresponding to different subsystems or equipment in the environmental control system. For example, the air conditioning subsystem can have a first dimension evaluation standard, which can be based on whether the chilled water supply temperature and chilled water flow rate in the air conditioning subsystem meet the normal range. For equipment such as cooling water pumps, chilled water pumps, chiller units, and cooling towers, there can be a second dimension evaluation standard, which can be based on whether the cooling water pumps, chilled water pumps, chiller units, and cooling towers are energy-efficient.

[0054] Understandably, the operating data, first-dimensional evaluation criteria, and second-dimensional evaluation criteria of the environmental control system are pre-stored in the environmental control system. Therefore, the operating data, first-dimensional evaluation criteria, and second-dimensional evaluation criteria of the environmental control system can be obtained in real time.

[0055] Next, a first-dimensional evaluation is conducted based on the first-dimensional evaluation criteria and operational data, resulting in a first-dimensional score. Then, a second-dimensional evaluation is conducted based on the second-dimensional evaluation criteria and operational data, resulting in a second-dimensional score. Finally, an operational evaluation is derived based on both the first-dimensional and second-dimensional scores. For example, the operational evaluation might suggest reducing the cooling tower outlet water temperature to address the system's energy efficiency, or other evaluations are provided without limitation.

[0056] In other words, the evaluation method of this application can obtain scores for the two dimensions based on the evaluation criteria and operating data of the environmental control system, thereby obtaining a more comprehensive operation and maintenance evaluation score for the environmental control system, which can effectively guide the operation and maintenance work based on the operation evaluation.

[0057] Thus, the evaluation method for the environmental control system of this application can take into account the evaluation of different dimensions corresponding to different subsystems or equipment in the environmental control system to carry out multi-dimensional fault evaluation analysis, promptly identify problems such as inefficient operation and improper control functions of the environmental control system, and effectively guide operation and maintenance work based on the operation evaluation.

[0058] In some implementations, after step 01, the evaluation method includes:

[0059] 02: Preprocess the running data to obtain the processed running data.

[0060] Please see Figure 3 The evaluation device 10 also includes a preprocessing module 12. Step 02 can be implemented by the preprocessing module 12. That is, the preprocessing module 12 is used to preprocess the running data to obtain processed running data.

[0061] Understandably, the evaluation method for the environmental control system in this application is based on the operating data of the environmental control system, therefore, the correct operating data must be used for evaluation and scoring.

[0062] Preprocessing of runtime data refers to the process of cleaning the raw runtime data to remove abnormal, non-steady-state, and non-running segment data, thereby obtaining more reasonable and accurate runtime data.

[0063] Thus, this application can perform functional and energy-saving assessments of the environmental control system based on the pre-processed operating data, ensuring the accuracy and rationality of the assessments.

[0064] In some implementations, step 01 includes:

[0065] 011: Obtain historical operating data of the environmental control system within the previous time period at the current moment.

[0066] Please combine Figure 2 Step 011 can be implemented by the acquisition module 11. That is to say, the acquisition module 11 is used to acquire the historical operating data of the environmental control system in the previous time period at the current moment.

[0067] Specifically, the historical operating data of the environmental control system in the previous time period at the current moment can refer to the operating data of the previous 1 month, 2 months or 3 months at the current moment, without any restriction.

[0068] For example, historical operating data can be the operating data of the environmental control system from August 1, 2023 to the present, November 15, 2023.

[0069] In some implementations, the first dimension evaluation criterion is a functional evaluation criterion, and the second dimension evaluation criterion is an energy-saving evaluation criterion.

[0070] In other words, this application can evaluate the operation of the environmental control system through two dimensions: functional evaluation criteria and energy-saving evaluation criteria. It has the advantages of being simple, easy to implement, and capable of multi-dimensional comprehensive evaluation. It can promptly identify problems such as inefficient operation of equipment and systems, as well as unreasonable environmental control, and effectively guide operation and maintenance work.

[0071] In one embodiment, the functional evaluation criteria include chilled water control evaluation criteria, and the operational data includes chilled water supply temperature and chilled water flow rate data. Step 03 includes:

[0072] 031: The chilled water control functionality score is obtained based on the chilled water control evaluation standard and operating data.

[0073] Please combine Figure 2 Step 031 can be implemented by the first scoring module 13. That is to say, the first scoring module 13 is used to obtain the chilled water control functionality score based on the chilled water control evaluation standard and operating data.

[0074] Specifically, the evaluation criteria for chilled water control can include evaluation criteria corresponding to two functional evaluation indicators: chilled water supply temperature and chilled water flow rate. The evaluation criterion for chilled water supply temperature is whether the deviation between the actual chilled water supply temperature and the set chilled water supply temperature threshold exceeds a preset difference. The evaluation criterion for chilled water flow rate is whether the deviation between the actual chilled water flow rate and the chilled water flow rate threshold exceeds a preset difference.

[0075] Correspondingly, the operating data may include first supply temperature data corresponding to a first difference where the deviation between the actual chilled water supply temperature and the chilled water supply temperature threshold exceeds a first difference, and second supply temperature data corresponding to a second difference where the deviation between the actual chilled water supply temperature and the chilled water supply temperature threshold exceeds a second difference, the second difference being greater than the first difference; third flow data corresponding to a third difference where the deviation between the actual chilled water flow rate and the chilled water flow rate threshold exceeds a third difference, and fourth flow data corresponding to a fourth difference where the deviation between the actual chilled water flow rate and the chilled water flow rate threshold exceeds a fourth difference, the fourth difference being greater than the third difference.

[0076] Therefore, this application can obtain a chilled water control functionality score based on the chilled water control evaluation standard and the first supply water temperature data, the second supply water temperature data, the third flow rate data, and the fourth flow rate data in the operating data.

[0077] Please see Figure 4 In some embodiments, the chilled water control evaluation criteria include the number of first-level alarms and second-level alarms related to chilled water supply temperature, and the number of first-level alarms and second-level alarms related to chilled water flow rate. Step 031 includes:

[0078] 0311: Determine the number of Level 1 alarms and Level 2 alarms based on operational data regarding chilled water supply temperature and chilled water flow rate.

[0079] 0312: The chilled water control functionality score is calculated based on the number of first-level alarms and the number of second-level alarms that occur based on the chilled water supply temperature and chilled water flow rate.

[0080] Please combine Figure 2 Steps 0311 and 0312 can be implemented by the first scoring module 13. That is, the first scoring module 13 is used to determine the number of first-level alarms and the number of second-level alarms that occur for chilled water supply temperature and chilled water flow rate based on the operating data, and calculates the chilled water control functionality score based on the number of first-level alarms and the number of second-level alarms that occur for chilled water supply temperature and chilled water flow rate.

[0081] Specifically, in this application, the first supply water temperature data where the deviation between the actual chilled water supply temperature and the chilled water supply temperature threshold exceeds a first difference is recorded as data indicating a first-level alarm for the chilled water supply temperature index. The second supply water temperature data where the deviation between the actual chilled water supply temperature and the chilled water supply temperature threshold exceeds a second difference is recorded as data indicating a second-level alarm for the chilled water supply temperature index.

[0082] The third flow rate, where the deviation between the actual chilled water flow rate and the chilled water flow rate threshold exceeds the third difference value, is recorded as the data triggering the first-level alarm for the chilled water flow rate indicator. The fourth flow rate, where the deviation between the actual chilled water flow rate and the chilled water flow rate threshold exceeds the fourth difference value, is recorded as the data triggering the second-level alarm for the chilled water flow rate indicator.

[0083] Level 1 alarms can be alarms with small deviations, while Level 2 alarms can be serious alarms with large deviations.

[0084] As shown in Table 1, the first difference can be 0.5℃, the second difference can be 1.5℃, the third difference can be 10% or greater than the cooling water flow rate threshold, and the fourth difference can be 30% or greater than the cooling water flow rate threshold.

[0085] Table 1 Monitoring Requirements for Functional Indicators of Chilled Water Control

[0086]

[0087] Therefore, this application can determine the number of first-level alarms for chilled water supply temperature based on the number of occurrences of the first data in the operating data; the number of second-level alarms for chilled water supply temperature based on the number of occurrences of the second data in the operating data; the number of first-level alarms for chilled water flow based on the number of occurrences of the third data in the operating data; and the number of second-level alarms for chilled water flow based on the number of occurrences of the fourth data in the operating data.

[0088] Next, the chilled water control functionality score can be calculated based on the number of Level 1 alarms and Level 2 alarms occurring for both chilled water supply temperature and chilled water flow rate. For example, if the total number of Level 1 alarms for both chilled water supply temperature and chilled water flow rate is 1 and the total number of Level 2 alarms is 0, the chilled water control functionality score can be 75 points.

[0089] Thus, this application can calculate the chilled water control functionality score using two functional indicators: chilled water supply temperature and chilled water flow rate.

[0090] In detail, the chilled water control functionality score is calculated according to the following conditional formula:

[0091] F_ld i =(100-B F_ld ×aC F_ld ×b)……………………Formula 1

[0092] In the formula, F_ld i Functional rating for chilled water control; B F_ld The number of Level 1 alarms for chilled water supply temperature and chilled water flow rate; C F_ld The number of Level 2 alarms for chilled water supply temperature and chilled water flow rate, with a and b as weights.

[0093] Understandably, when the chilled water pump frequency does not track a specific variable, it is not necessary to assess whether a chilled water flow alarm has occurred. Therefore, B F_ld C can be used to indicate the number of first-level alarms for chilled water supply temperature. F_ld This can be used to indicate the number of Level 2 alarms triggered only for chilled water supply temperature. (B) F ld It can also be the total number of Level 1 alarms for chilled water supply temperature and chilled water flow rate, C F_ldThe formula can also specify the number of Level 2 alarms for chilled water supply temperature and chilled water flow rate. In the formula, a and b are the functional weights of Level 1 and Level 2 alarms, respectively. The functional weight 'a' for Level 1 alarms can be 25, and the functional weight 'b' for Level 2 alarms can be 50. This means that the functional weight of Level 1 alarms is less than that of Level 2 alarms, indicating that the chilled water control functional score for a Level 2 alarm is lower than that for a Level 1 alarm.

[0094] For example, if the number of first-level alarms for chilled water supply temperature is 1, and the number of first-level alarms for chilled water flow is 0, then B F_ld If the number of second-level alarms for chilled water supply temperature is 0 and the number of first-level alarms for chilled water flow is 1, then C = 1. F_ld It equals 1. At this time, F_ld i =(100-B F_ld ×25-C F_ld (×50)=100-25-50=35 points, that is, the functional score of chilled water control is 35 points.

[0095] In some implementations, the functional evaluation criteria include public area room temperature comfort evaluation criteria, and step 03 further includes:

[0096] 032: The functional score of the room temperature comfort in the public area is obtained based on the evaluation standard and operation data.

[0097] Please combine Figure 2 Step 032 can be implemented by the first scoring module 13. That is to say, the first scoring module 13 is used to obtain the functional score of the room temperature comfort of the public area based on the evaluation standard and operation data of the room temperature comfort of the public area.

[0098] Specifically, the evaluation standard for room temperature comfort in public areas can be whether the room temperature in at least one public area is within a preset temperature range. Correspondingly, the operational data can include the temperature value of at least one public area.

[0099] Therefore, this application calculates the functional score of the room temperature comfort of the public area based on the evaluation standard for room temperature comfort of the public area and the temperature value of at least one public area in the operational data.

[0100] Please see Figure 5 In some implementations, the evaluation criteria for room temperature comfort in public areas include the percentage of indoor temperatures in different public areas that fall within a preset temperature range.

[0101] Step 032 includes:

[0102] 0321: Based on the mapping relationship table between the operating data and the percentage of the preset indoor temperature range and the functional score of room temperature comfort, determine the percentage of the indoor temperature of the public area sensor within the preset temperature range, and calculate multiple functional scores of room temperature comfort for multiple public areas; where, in the mapping relationship table, the percentage of the indoor temperature of the public area sensor within the preset temperature range corresponds to different functional scores of room temperature comfort.

[0103] 0322: The functional score for room temperature comfort in the public area is calculated based on multiple functional scores for room temperature comfort.

[0104] Please see Figure 2 Step 0321 can be implemented by the first scoring module 13. That is, the first scoring module 13 is used to determine the proportion of indoor temperature of the public area sensor within the preset temperature range based on the operating data and the mapping relationship table corresponding to the room temperature comfort functional score, and calculate multiple room temperature comfort functional scores for multiple public areas; wherein, in the mapping relationship table, the proportion of indoor temperature of the public area sensor within the preset temperature range corresponds to different room temperature comfort functional scores; and the room temperature comfort functional score of the public area is calculated based on the multiple room temperature comfort functional scores.

[0105] Specifically, Table 2 shows the mapping relationship between the percentage of preset indoor temperature ranges and the corresponding functional scores for room temperature comfort. The preset temperature ranges can include three temperature ranges: 28℃~30℃, 30℃~32℃, and above 32℃.

[0106] Table 2. Monitoring Requirements for Functional Indicators of Room Temperature Comfort in Public Areas

[0107] Temperature Range (°C) Score (Tj) 28＜T≤30 80 30＜T≤32 60 32＜T 30

[0108] In Table 2, the column "28℃<T≤30℃" indicates that when the percentage of indoor temperatures detected by sensors in a certain public area that are between 28℃ and 30℃ exceeds 50% at the same time, the comfort and functionality score is 80 points. The column "30℃<T≤32℃" indicates that when the percentage of indoor temperatures detected by sensors in a certain public area that are between 30℃ and 32℃ exceeds 50% at the same time, the room temperature comfort and functionality score is 60 points. The column "32℃<T" indicates that when the percentage of indoor temperatures detected by sensors in a certain public area that are above 32℃ exceeds 50% at the same time, the room temperature comfort and functionality score is 30 points.

[0109] The operational data may include multiple indoor temperature values ​​detected by sensors in a public area at different times.

[0110] Therefore, multiple indoor temperature values ​​detected by sensors in a public area at different times in the operational data can be calculated, and the final functional score of the public area's room temperature comfort can be obtained by matching the above mapping table.

[0111] For example, if, over a certain period of time, 60% of the indoor temperatures detected by sensors in public area A fall within the temperature range of 28℃ < T ≤ 30℃, and 40% fall within the temperature range of 30℃ < T ≤ 32℃, then the functional score for room temperature comfort in public area A corresponding to 28℃ < T ≤ 30℃ is T1 = 80 points. If, over a certain period of time, 30% of the indoor temperatures detected by sensors in public area B fall within the temperature range of 28℃ < T ≤ 30℃, 50% fall within the temperature range of 30℃ < T ≤ 32℃, and 20% fall within the temperature range of 32℃ < T, then the functional score for room temperature comfort in public area B corresponding to 30℃ < T ≤ 32℃ is T2 = 60 points.

[0112] Then, the final functional score for room temperature comfort in the public area can be calculated based on the functional scores for room temperature comfort in both public areas A and B.

[0113] In detail, in one implementation, the functional score for room temperature comfort in the public area is calculated according to the following conditional formula:

[0114]

[0115] In the formula, F_com i Functional rating for room temperature comfort in public areas; T j The comfort and functionality score corresponds to the percentage of indoor temperatures in different public areas that fall within a preset temperature range; n represents the number of temperature sensors in the public areas.

[0116] In other words, this application can average the functional scores of room temperature comfort in multiple different public areas to calculate the final functional score of room temperature comfort in the public area.

[0117] For example, in the above example, the average of the room temperature comfort functional scores of public areas A and B can be used to calculate the final room temperature comfort functional score of 70 points.

[0118] In some implementations, the energy efficiency evaluation criteria include system energy efficiency evaluation criteria, and step 05 includes:

[0119] 051: The system's energy efficiency score is obtained based on the system energy efficiency evaluation standards and operating data.

[0120] Please combine Figure 2 Step 051 can be implemented by the second scoring module 15, which is used to obtain the system energy efficiency score based on the system energy efficiency evaluation standard and operating data.

[0121] Understandably, system energy-saving evaluation standards can include multiple energy-saving evaluation standards at the system level for air conditioning subsystems such as cooling water, chilled water, cold source, cooling tower, and terminal systems.

[0122] The operational data may include multiple sets of operational values ​​for the corresponding air conditioning subsystems, including cooling water, chilled water, cold source, cooling tower, and terminal systems.

[0123] In other words, this application can obtain a system energy efficiency score through system energy efficiency evaluation standards and operating data, thereby evaluating the energy efficiency of the environmental control system.

[0124] Please see Figure 6 In some implementations, the system energy-saving evaluation criteria include the number of Level 1 alarms and the number of Level 2 alarms occurring in at least one air conditioning subsystem. Step 051 includes:

[0125] 0511: Determine the number of Level 1 alarms and Level 2 alarms that occurred in at least one air conditioning subsystem based on the operating data;

[0126] 0512: Determine the energy efficiency score of at least one air conditioning subsystem based on the number of Level 1 alarms and the number of Level 2 alarms occurring in at least one air conditioning subsystem;

[0127] 0513: The system energy efficiency score is calculated based on the energy efficiency score of at least one air conditioning subsystem.

[0128] Please combine Figure 2 Step 051 can be implemented by the second scoring module 15. The second scoring module 15 is used to determine the number of first-level alarms and the number of second-level alarms that occur in at least one air conditioning subsystem based on the operating data; to determine the energy efficiency score of at least one air conditioning subsystem based on the number of first-level alarms and the number of second-level alarms that occur in at least one air conditioning subsystem; and to calculate the system energy efficiency score based on the energy efficiency score of at least one air conditioning subsystem.

[0129] Specifically, at least one air conditioning subsystem includes cooling water, chilled water, cold source, cooling tower and terminal system.

[0130] This application can monitor alarm parameters of at least one air conditioning subsystem to see if they exceed preset parameter thresholds. If an alarm parameter deviates from the preset threshold within the corresponding monitoring time period, an alarm will be triggered. If the duration of a particular immediate alarm exceeds 10% of the total monitoring time, the alarm is considered a valid alarm for that time period. Alarms or critical alarms are triggered based on the values ​​of the monitored parameters.

[0131] The first-level alarm can be an alarm corresponding to a small deviation between the energy-saving parameter value and the preset parameter threshold, while the second-level alarm can be a serious alarm corresponding to a large deviation between the energy-saving parameter value and the preset parameter threshold.

[0132] In this application, the number of Level 1 alarms and the number of Level 2 alarms occurring in at least one air conditioning subsystem can be determined based on operating data. Then, an energy efficiency score for at least one air conditioning subsystem is determined based on the number of Level 1 and Level 2 alarms occurring in the at least one air conditioning subsystem. Finally, a system energy efficiency score is calculated based on the energy efficiency scores of the at least one air conditioning subsystem.

[0133] Understandably, the cooling water system, cold source system, cooling tower and terminal system of this application can be set as follows: if no alarm occurs, the energy efficiency score is 100 points; if a first-level alarm occurs, the energy efficiency score is 60 points; if a second-level alarm occurs, the energy efficiency score is 30 points.

[0134] Therefore, the evaluation method of the environmental control system of this application can determine the number of first-level alarms and second-level alarms in the cooling water system, cold source system, cooling tower and terminal system based on the operating data. In other words, it can detect whether the air conditioning subsystems of the cooling water system, cold source system, cooling tower and terminal system have first-level alarms and second-level alarms, thereby determining the energy efficiency score of at least one air conditioning subsystem. Finally, the system energy efficiency score is calculated based on the energy efficiency score of at least one air conditioning subsystem.

[0135] Specifically, the system energy efficiency score is calculated according to the following conditional formula:

[0136]

[0137] In the formula, E i The score for the system's energy efficiency index; A k The energy efficiency score is given for at least one air conditioning subsystem; m(k) is the number of air conditioning subsystems, and k is the number of alarms.

[0138] For example, if the number of Level 1 and Level 2 alarms in the cooling water system, cold source system, cooling tower, and terminal system are all 0, then the energy efficiency score for each of these systems is determined to be 100 points. Then, the average of the energy efficiency scores for at least one air conditioning subsystem can be used to calculate the overall system energy efficiency score as 100 points.

[0139] If the number of Level 1 alarms in the cooling water system is 1, and the number of Level 1 alarms in the cold source system, cooling tower, and terminal system is 0 (i.e., k=4, m=4), then the energy efficiency score for the cooling water system is determined to be 60 points, and the energy efficiency score for the cold source system, cooling tower, and terminal system is determined to be 100 points. Then, the average energy efficiency score of at least one air conditioning subsystem can be calculated to obtain the system energy efficiency score as (60+100*3) / 4=90 points.

[0140] If the cooling water system experiences one Level 1 alarm and one Level 2 alarm, while the cold source system, cooling tower, and terminal system experience zero Level 1 alarms, then the energy efficiency score for the cooling water system is 30 points, and the energy efficiency score for the cold source system, cooling tower, and terminal system is 100 points. Then, the average energy efficiency score of at least one air conditioning subsystem can be calculated to obtain the system's energy efficiency score as (30 + 100 * 3) / 4 = 82.5 points.

[0141] Thus, this application can determine the energy efficiency score of at least one air conditioning subsystem based on the number of first-level alarms and the number of second-level alarms generated by at least one air conditioning subsystem, and then calculate the system energy efficiency score based on the corresponding energy efficiency score of at least one air conditioning subsystem, thereby realizing the operation and maintenance control of the environmental control system of this application at the system level.

[0142] In some implementations, the energy efficiency evaluation criteria include equipment energy efficiency evaluation criteria, and step 05 further includes:

[0143] 052: The energy efficiency score of the equipment is obtained based on the equipment energy efficiency evaluation standards and operating data.

[0144] Please combine Figure 2 Step 052 can be implemented by the second scoring module 15, which is used to obtain the energy efficiency score of the equipment based on the equipment energy efficiency evaluation standard and operating data.

[0145] In other words, the environmental control system of this application can not only calculate the system energy efficiency score at the system level, but also calculate the equipment energy efficiency score at the equipment level, realizing the energy efficiency consideration of the environmental control system from different dimensions, which is conducive to the energy efficiency operation and regulation of the operating equipment of the environmental control system.

[0146] Please see Figure 7 In one embodiment, the energy-saving evaluation criteria for equipment includes energy-saving evaluation criteria for at least one piece of equipment. Step 052 includes:

[0147] 0521: Determine the energy efficiency score of at least one piece of equipment based on operating data and the energy efficiency evaluation criteria of at least one piece of equipment, wherein at least one piece of equipment includes a cooling water pump, a chilled water pump, a chiller unit and / or a cooling tower;

[0148] 0522: Calculate the energy efficiency score of at least one device based on the energy efficiency score of at least one device.

[0149] Please combine Figure 2 Steps 0521 and 0522 can be implemented by the second scoring module 15, which is used to determine the energy efficiency score of at least one device based on the operating data and the energy efficiency evaluation standard of at least one device, wherein at least one device includes a cooling water pump, a chilled water pump, a chiller unit and / or a cooling tower; the energy efficiency score of at least one device is calculated based on the energy efficiency score of at least one device.

[0150] Specifically, "at least one device includes a cooling water pump, a chilled water pump, a chiller unit, and / or a cooling tower" means that the operating equipment of the environmental control system of this application may include at least one or more of the following: cooling water pumps, chilled water pumps, chiller units, and cooling towers. Correspondingly, the energy-saving evaluation criteria for the equipment may include at least one or more energy-saving evaluation criteria for the cooling water pumps, chilled water pumps, chiller units, and cooling towers.

[0151] Understandably, the energy efficiency rating of the equipment can be based on real-time operating data with a minimum sampling interval of 10 minutes. The average value of the data is used to score the equipment once a day, and an energy efficiency score is given for each piece of equipment.

[0152] The energy efficiency rating of the chiller unit is based on four evaluation criteria: (1) the ranking percentage of the COP of the chiller unit under similar operating conditions in the operating data, (2) the ratio of the actual value to the predicted value of the chiller unit's COP, (3) the evaporator heat exchange efficiency, and (4) the condenser heat exchange efficiency. The calculation formula is as follows.

[0153] η ls =60×(0.3×A) ls +0.7×COP real / COP pre )+C ls +D ls Formula 4

[0154] In the formula, η lsThe energy efficiency score for chiller units ranges from 0 to 100 points; COP real The actual COP of the chiller unit; COP pre Predicted COP for chiller units under the same operating conditions.

[0155] A ls Assign a score to the COP (Coefficient of Performance) of chiller units operating under similar conditions in the operational data, with a maximum score of 100. A ls A is the ratio of the number of data points in the operating data that have a COP lower than the calculated daily chiller unit COP to the total operating data. If no similar operating condition exists in the operating data, then A... ls =100.

[0156] C ls The evaporator heat exchange efficiency is scored, with a maximum score of 20. A heat exchange efficiency no greater than 20% of the maximum value under similar operating conditions earns 20 points; an efficiency greater than 20% earns 10 points; and an efficiency greater than 50% earns 0 points. (C) ls The scaling condition of the evaporator is characterized.

[0157] D ls The condenser heat exchange efficiency is scored out of 20. A condenser heat exchange efficiency no greater than 20% of the maximum value under similar operating conditions receives 20 points; an efficiency greater than 20% receives 10 points; and an efficiency greater than 50% receives 0 points. (D) ls The scaling condition of the condenser is characterized.

[0158] For example, when obtaining operational data for a certain time period, A ls The value is 0.2, indicating that the ratio of the amount of data in the operating data with a COP lower than the calculated daily chiller unit COP to the total amount of operating data is 20%. real / COP pre The ratio is 0.3; C ls D is worth 10 points. ls When the score is 10, the energy efficiency rating of the chiller unit within a certain time period is: η ls =60×(0.3×0.2+0.7×0.3)+10+10=36.2 points.

[0159] If the energy efficiency scores of 10 chiller units calculated in a day are: 36.2, 38.2, 39, 40, 36.8, 37.2, 39.6, 38.5, 36.9, and 40, then the energy efficiency score of the chiller units for that day can be calculated as (36.2+38.2+39+40+36.8+37.2+39.6+38.5+36.9+40) / 10=38.24.

[0160] In addition, when the equipment includes a cooling tower, the energy efficiency rating of the cooling tower is scored using two evaluation criteria: (1) the ranking percentage of the actual approximation of the cooling tower under similar operating conditions in the operating data, and (2) the comparison between the actual value and the predicted value of the actual approximation of the cooling tower. The formula for calculating the cooling tower efficiency is as follows:

[0161]

[0162] In the formula, η lt The energy efficiency of cooling towers is rated from 0 to 100 points; a real For the actual approximation of the cooling tower; a pre For the predicted approximation of the cooling tower under the same operating conditions; A lt The ranking of cooling towers under similar operating conditions in the operational data is scored out of 100, with A being the highest score. lt This is expressed as the ratio of the amount of data in the operational data that has a similar operating condition approximation degree greater than the calculated daily cooling tower approximation degree to the total amount of operational data. If there is no current similar operating condition in the operational data, then A... lt =100.

[0163] For example, suppose the actual outlet water temperature of the cooling tower is known to be a. out (Unit: °C), the wet-bulb temperature at the same time is a wb (Unit: °C), then the actual approximation degree a under the same working conditions. real It can be calculated using the following formula: a real =a out -a wb .

[0164] The calculation of the predicted approximation relies on specific predictive models or empirical formulas. These models or formulas can predict the cooling tower's outlet water temperature based on the cooling tower's design parameters (such as packing type, air volume, water volume, etc.), environmental conditions (such as wet-bulb temperature, atmospheric pressure, etc.), and operating conditions (such as inlet water temperature, flow rate, etc.). The predicted approximation serves as an important indicator for evaluating cooling tower performance, comparing it with the actual approximation to assess whether the cooling tower's operating efficiency and performance meet expectations.

[0165] For example, suppose the actual outlet water temperature of the cooling tower on a certain day is a out The temperature is 30℃, and the wet-bulb temperature a during the same period is... wb If the temperature is 10℃, then a real The temperature is 20℃. The prediction approximation degree a under the same operating conditions. pre Assuming the temperature is 18℃, and the ratio A of the amount of data in the operating data that has a similar operating condition approximation degree greater than the calculated daily cooling tower approximation degree to the total amount of operating data. lt If the value is 0.4, then under this operating condition, the energy efficiency score η of the cooling tower is...lt =100×[0.3×0.4+0.7×(1-(20-18)÷18)]=74.2 points.

[0166] The energy efficiency rating of chilled water pumps is based on two evaluation criteria: (1) the ranking percentage of actual efficiency of chilled water pumps under similar operating conditions in the operating data, and (2) the comparison between the actual efficiency and the predicted efficiency of the chilled water pump. In detail, the energy efficiency rating of chilled water pumps can be calculated using the following formula:

[0167]

[0168] In the formula, η ld The energy efficiency of chilled water pumps is rated from 0 to 100 points; η real η represents the actual efficiency of the chilled water pump. pre For the predicted efficiency of the chilled water pump; A ld Assign a score based on the percentage of chilled water pump efficiency under similar operating conditions in the operational data, with a maximum score of 100. A ld A is the ratio of the number of data points in the operational data where the actual efficiency of chilled water pumps under similar operating conditions is less than the calculated daily actual efficiency of chilled water pumps, to the total amount of operational data. If no similar operating condition exists in the operational data, then A... ld =100.

[0169] For example, suppose the actual efficiency η of the chilled water pump on a certain day real The predicted efficiency of the chilled water pump is 0.9, which is 0.79. ld If the value is 0.4, then the energy efficiency score η of the chilled water pump is... ld =100×[0.3×0.4+0.7×(0.79 / 0.9)]=73.4 points

[0170] In addition, when the equipment includes a cooling water pump, the energy efficiency rating of the cooling water pump is based on two evaluation criteria: (1) the ranking percentage of the actual power of the pump under similar operating conditions in the operating data, and (2) the comparison between the actual power value and the predicted power value of the pump. The calculation formula is as follows:

[0171] η lq =100×(0.3×A) lq +0.7×P real / P pre )Formula 7

[0172] In the formula, η lq The energy efficiency of the cooling water pump is rated from 0 to 100 points; P real P represents the actual power of the cooling water pump. pre A is the predicted power of the cooling water pump under the same operating conditions; lqAssign a score based on the percentage of cooling water pump power under similar operating conditions in the operational data, with a maximum score of 100. A lq A is the ratio of the amount of data in the operating data where the actual power of the cooling water pump under similar operating conditions is greater than the calculated daily actual power of the cooling water pump, to the total amount of operating data. If there is no similar operating condition in the operating data, then A... lq =100.

[0173] For example, under a certain operating condition, the actual power P of the cooling water pump real The predicted power P of the cooling water pump under the same operating conditions is 0.7. pre A is 0.9. lq If η is 0.5, then η lq =100×[0.3×0.5+0.7×(0.7÷0.9)]=69.4 points.

[0174] The energy efficiency score of an equipment is calculated based on the energy efficiency score of at least one of the aforementioned equipment. That is, if the environmental control system includes only one of the aforementioned equipment, then the energy efficiency score corresponding to that equipment is the final energy efficiency score of the equipment. If the environmental control system includes two or more equipment, then the average of the energy efficiency scores corresponding to the two or more equipment is the final energy efficiency score of the equipment.

[0175] Thus, this application can obtain energy efficiency scores for multiple devices based on energy efficiency evaluation standards and operating data, thereby evaluating the energy efficiency of each device in the environmental control system and deriving energy-saving operation and maintenance recommendations that are beneficial to the entire environmental control system.

[0176] For example, please see Figure 8 and Figure 9 In one embodiment, the environmental control system evaluation method of this application is applied to the air conditioning system of a subway station. Data cleaning is performed on the operational dataset from August to November, and evaluation indicators are input for diagnostic scoring. The sampling interval is 10 minutes. The station's ventilation and air conditioning system includes an air conditioning chilled water system (water system), a public area ventilation and air conditioning system (large system), and an equipment room ventilation and air conditioning system (small system). The water system includes chiller units, chilled water pumps, two cooling towers, and two cooling water pumps, connected in parallel. The large system consists of all-air terminals, and the small system consists of fan coil unit terminals.

[0177] The indoor temperature sensors at eight public area locations were scored according to the functional evaluation standard for indoor temperature comfort in public areas: the percentage of indoor temperatures measured by different sensors in different public areas that fell within a preset temperature range was used to obtain scores. Figure 8 As shown, the average score of the public area temperature comfort function rating from August to November was 99 points, meaning that all points in the temperature comfort function rating were above 80 points, thus meeting the human comfort standard for temperature.

[0178] The system's energy efficiency is scored according to the system energy efficiency evaluation standard, such as... Figure 9 As shown, the average energy efficiency score for the system from August to November is 89 points. However, the energy consumption of the fan coil units in the terminal energy consumption ratio is missing. Therefore, the total terminal energy consumption of the fan coil unit system can be estimated using the ratio of fan coil unit energy consumption / air conditioning unit energy consumption = 3 / 7.

[0179] like Figure 9 As shown, the system's energy efficiency score is low at certain times, so further analysis is needed to determine the reasons for the low energy efficiency score.

[0180] For example, by checking data from relevant time periods, an environmental control system can discover that the system's energy efficiency is affected by issues such as excessively high cooling tower outlet water temperature differences during that period. This allows for analysis to conclude that the low energy efficiency score is due to the excessively high cooling tower outlet water temperature differences, and thus provide maintenance recommendations for adjusting the cooling tower outlet water temperature.

[0181] This application also provides an environmental control system. The environmental control system is used to perform the evaluation method in any of the above embodiments.

[0182] Thus, the evaluation method for the environmental control system of this application can take into account the evaluation of different dimensions corresponding to different subsystems or equipment in the environmental control system to carry out multi-dimensional fault evaluation analysis, promptly identify problems such as inefficient operation and improper control functions of the environmental control system, and effectively guide operation and maintenance work based on the operation evaluation.

[0183] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for evaluating an environmental control system, characterized in that, The evaluation methods include: The operation data, first-dimensional evaluation criteria, and second-dimensional evaluation criteria of the environmental control system are obtained; wherein the first-dimensional evaluation criteria and the second-dimensional evaluation criteria are different-dimensional evaluation criteria corresponding to different subsystems or devices in the environmental control system. The first dimension evaluation is conducted based on the first dimension evaluation criteria and the aforementioned operational data to obtain the first dimension score. A second-dimensional evaluation is conducted based on the second-dimensional evaluation criteria and the aforementioned operational data to obtain a second-dimensional score; and An operational evaluation is obtained based on the scores of the first dimension and the second dimension.

2. The evaluation method according to claim 1, characterized in that, After acquiring the operating data of the environmental control system, the evaluation method includes: The running data is preprocessed to obtain processed running data.

3. The evaluation method according to claim 1, characterized in that, The acquisition of the operating data of the environmental control system includes: Obtain the historical operating data of the environmental control system in the previous time period at the current moment.

4. The evaluation method according to claim 1, characterized in that, The first dimension of the evaluation criteria is a functional evaluation criterion, and the second dimension of the evaluation criterion is an energy-saving evaluation criterion.

5. The evaluation method according to claim 4, characterized in that, The functional evaluation criteria include chilled water control evaluation criteria. The first-dimensional evaluation, based on the first-dimensional evaluation criteria and the operational data, yields a first-dimensional score, including: The chilled water control functionality score is obtained based on the chilled water control evaluation criteria and the operating data.

6. The evaluation method according to claim 5, characterized in that, The chilled water control evaluation criteria include the number of first-level alarms and second-level alarms for chilled water supply temperature, and the number of first-level alarms and second-level alarms for chilled water flow rate. The process of obtaining the chilled water control functionality score based on the chilled water control evaluation criteria and the operational data includes: Based on the operational data, determine the number of first-level alarms and the number of second-level alarms related to the chilled water supply temperature and chilled water flow rate. The chilled water control functionality score is calculated based on the number of first-level alarms and the number of second-level alarms occurring based on the chilled water supply temperature and chilled water flow rate.

7. The evaluation method according to claim 6, characterized in that, The chilled water control functionality score is calculated according to the following conditional formula: F_ld i =(100-B F_ld ×a-C F_ld ×b) In the formula, F_ld i Functional rating for chilled water control; B f_ld The number of Level 1 alarms for chilled water supply temperature and chilled water flow rate; C f_ld The number of Level 2 alarms for chilled water supply temperature and chilled water flow rate, with a and b as weights.

8. The evaluation method according to claim 4, characterized in that, The functional evaluation criteria include a public area room temperature comfort evaluation criteria. The first-dimensional evaluation, based on the first-dimensional evaluation criteria and the operational data, yields a first-dimensional score, which includes: The functional score of the room temperature comfort in the public area is obtained based on the evaluation standard for room temperature comfort in the public area and the operational data.

9. The evaluation method according to claim 8, characterized in that, The evaluation standard for room temperature comfort in public areas includes the percentage of indoor temperatures in different public areas that fall within a preset temperature range. The functional score for the room temperature comfort of the public area, obtained based on the evaluation standard for room temperature comfort in the public area and the operational data, includes: Based on the mapping relationship table between the operating data and the percentage of indoor temperature within the preset temperature range and the room temperature comfort functional score, the percentage of indoor temperature of the public area sensor within the preset temperature range is determined, and multiple room temperature comfort functional scores corresponding to multiple public areas are calculated; wherein, in the mapping relationship table, the percentage of indoor temperature of the public area sensor within the preset temperature range corresponds to different room temperature comfort functional scores. The functional score for room temperature comfort in the public area is calculated based on multiple functional scores for room temperature comfort.

10. The evaluation method according to claim 9, characterized in that, The functional score for room temperature comfort in the public area is calculated according to the following conditional formula: In the formula, F_com i Functional rating for room temperature comfort in public areas; T j The comfort and functionality score corresponds to the percentage of indoor temperatures in different public areas that fall within a preset temperature range; n represents the number of temperature sensors in the public areas.

11. The evaluation method according to claim 4, characterized in that, The energy efficiency evaluation criteria include a system energy efficiency evaluation criteria. The second-dimensional evaluation, based on the second-dimensional evaluation criteria and the operational data, to obtain a second-dimensional score includes: The energy efficiency score of the system is obtained based on the system energy efficiency evaluation standard and the operating data.

12. The evaluation method according to claim 11, characterized in that, The system energy-saving evaluation criteria include the number of first-level alarms and the number of second-level alarms occurring in at least one air conditioning subsystem; The process of obtaining the system energy efficiency score based on the system energy efficiency evaluation standard and the operating data includes: The number of Level 1 alarms and the number of Level 2 alarms generated by the at least one air conditioning subsystem are determined based on the operational data. The energy efficiency score of the at least one air conditioning subsystem is determined based on the number of first-level alarms and the number of second-level alarms generated by the at least one air conditioning subsystem. The energy efficiency score of the system is calculated based on the energy efficiency score of the at least one air conditioning subsystem.

13. The evaluation method according to claim 12, characterized in that, The system energy efficiency score is calculated according to the following conditional formula: In the formula, E i The score for the system's energy efficiency index; A k The energy efficiency score is given for at least one air conditioning subsystem; m(k) is the total number of air conditioning subsystems, and k is the number of alarms.

14. The evaluation method according to claim 4, characterized in that, The energy efficiency evaluation standard includes an equipment energy efficiency evaluation standard. The second-dimensional evaluation based on the second-dimensional evaluation standard and the operating data, to obtain the second-dimensional score, includes: The energy efficiency score of the equipment is obtained based on the energy efficiency evaluation standard and the operating data.

15. The evaluation method according to claim 14, characterized in that, The energy-saving evaluation standard for the equipment includes an energy-saving evaluation standard for at least one piece of equipment; obtaining the energy-saving score of the equipment based on the energy-saving evaluation standard and the operating data includes: The energy efficiency score of the at least one device is determined based on the operating data and the energy efficiency evaluation criteria of the at least one device, wherein the at least one device includes a cooling water pump, a chilled water pump, a chiller unit and / or a cooling tower; The energy efficiency score of the device is calculated based on the energy efficiency score of the at least one device.

16. An evaluation device for an environmental control system, characterized in that, The evaluation device includes: The acquisition module is used to acquire the operating data of the environmental control system, the first-dimensional evaluation criteria, and the second-dimensional evaluation criteria. The first scoring module is used to perform a first-dimensional evaluation based on the first-dimensional evaluation criteria and the operational data, and obtain a first-dimensional score. The second scoring module is used to perform a second-dimensional evaluation based on the second-dimensional evaluation criteria and the operational data, and obtain a second-dimensional score; and The evaluation module is used to obtain an operational evaluation of the environmental control system based on the scores of the first dimension and the second dimension.

17. An environmental control system, characterized in that, The environmental control system is used to perform the evaluation method according to any one of claims 1 to 15.

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