A maintenance planning system for intelligent building electrical equipment
By collecting and analyzing environmental information in the air conditioning system and dynamically adjusting the temperature threshold, the problem of energy waste in the air conditioning system is solved, and more efficient energy utilization and stable equipment operation are achieved.
Patent Information
- Application Number
- CN202610660090.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-14
- Publication Date
- 2026-07-03
AI Technical Summary
Existing air conditioning systems waste energy in temperature control, especially when the air conditioning compressor starts and stops frequently, the current surge when the motor starts causes heat generation and increased energy consumption.
The data acquisition module acquires outdoor and indoor environmental information, the detection module analyzes the basic heat dissipation index of the area, and the temperature threshold setting module dynamically adjusts the temperature threshold to optimize the temperature control of the cooling unit according to the heat dissipation level, avoiding frequent start-stop.
It reduces energy waste in air conditioning systems, extends equipment lifespan, lowers equipment wear and maintenance costs, and improves energy efficiency and the stability of refrigeration systems.
Smart Images

Figure CN122328855A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of electrical equipment maintenance technology, and more specifically to an intelligent building electrical equipment maintenance planning system. Background Technology
[0002] Intelligent buildings integrate advanced information technology, automation control technology, and communication technology to efficiently integrate equipment, systems, and services within the building, providing users with a safe, comfortable, efficient, and energy-saving building environment.
[0003] Air conditioning systems are one of the main sources of building energy consumption. In existing technologies, traditional temperature control systems set a fixed temperature threshold and compare the indoor temperature with the set temperature threshold. For example, in cooling mode, if the indoor temperature is lower than the temperature threshold, the air conditioning compressor stops working; if the indoor temperature is higher than the temperature threshold, the air conditioning compressor restarts until the indoor temperature is lower than the temperature threshold, thus keeping the air conditioning system within a fixed temperature threshold.
[0004] However, in the above-mentioned technologies, if the indoor temperature rises rapidly after the air conditioner compressor stops working, the air conditioner compressor will need to be restarted in a short period of time. When the air conditioner compressor starts, the motor needs to overcome the static inertial force, and the current instantly spikes to 5-7 times the rated value. Therefore, more heat will be generated during the startup phase, which cannot be converted into effective cooling capacity, resulting in a large amount of energy waste. Summary of the Invention
[0005] The purpose of this invention is to provide an intelligent maintenance planning system for building electrical equipment, solving the following technical problems: How to reduce the energy consumption of air conditioning systems.
[0006] The objective of this invention can be achieved through the following technical solutions: A maintenance planning system for intelligent building electrical equipment, applicable to air conditioning systems; the air conditioning system includes a compressor and a refrigeration unit; the maintenance planning system includes: The data acquisition module is used to collect outdoor environmental information data and indoor environmental information data of the target cooling area of the refrigeration unit; The detection module is used to analyze outdoor and indoor environmental information data within a preset time period to obtain the basic heat dissipation index of the target cooling area. The temperature threshold setting module is used to analyze the basic heat dissipation index of the area, the current outdoor environmental information data, and the indoor environmental information data to determine the current temperature rise index of the target cooling area, determine the heat dissipation level of the target cooling area based on the current temperature rise index of the target cooling area, and determine the current temperature threshold of the cooling unit based on the heat dissipation level of the target cooling area. As a further aspect of the present invention: the indoor environmental information data includes indoor ambient temperature, number of people, and temperature of each electrical device in the target cooling area; the outdoor environmental information data includes outdoor ambient temperature.
[0007] As a further aspect of the present invention: the basic heat dissipation index of the region is obtained as follows: S1: Select at least one characteristic time period from the preset number of past days; S2: Analyze the outdoor ambient temperature for each characteristic time period to obtain the outdoor environment deviation adjustment coefficient for each characteristic time period. S3: Based on the outdoor environmental deviation adjustment coefficient and indoor environmental temperature of each characteristic time period, the basic heat dissipation index of the target cooling area is obtained.
[0008] As a further aspect of the present invention: In step S2, using formula one: ; Calculate the first Outdoor environmental deviation adjustment coefficient for each characteristic time period ; in, The number of characteristic time periods, ; For the first The start time of each characteristic time period; For the first The end time of each characteristic time period; For the first Curves showing the change of outdoor ambient temperature over time for a specific time period; Preset outdoor ambient temperature; This is the first preset constant.
[0009] As a further aspect of the present invention: In step S3, formula two is used: ; Calculate the regional basic heat dissipation index of the target cooling area. ; in, The preset duration is the basic time limit; This is the second preset constant; This is for removing the unit coefficient.
[0010] As a further aspect of the present invention: through formula three: ; Calculate the current temperature rise index of the target cooling area. ; in, This refers to the current outdoor ambient temperature. The target indoor temperature; The number of electrical devices in the target cooling area. ; The number of people in the target cooling area; For the first The current temperature of each electrical device; The first weighting coefficient; This is the second weighting coefficient; This is the third weighting coefficient; This is the fourth weighting coefficient; This is the first preset constant; This is the second preset constant; This is the third preset constant; This is the fourth preset constant.
[0011] As a further aspect of the present invention: the process for determining the current heat dissipation level of the target cooling area is as follows: The current temperature rise index of the target cooling area With preset heat dissipation threshold Compare; when At that time, the current heat dissipation level of the target cooling area is low. when At that time, the current heat dissipation level of the target cooling area is medium. when At that time, the current heat dissipation level of the target cooling area is high.
[0012] As a further aspect of the present invention: the temperature threshold is ; in, This is the current threshold adjustment coefficient; This is the preset temperature value.
[0013] As a further aspect of the present invention: through formula four: ; Calculate the current threshold adjustment coefficient ; in, This is the third preset constant.
[0014] As a further aspect of the present invention: when the current heat dissipation level of the target cooling area is high, an early warning is issued to the management terminal.
[0015] The beneficial effects of this invention are: (1) The present invention dynamically adjusts the temperature threshold to avoid frequent start-stop of the air conditioning system and reduce unnecessary energy waste; at the same time, it rationally allocates cooling resources according to the heat dissipation level of the area, further optimizing energy utilization efficiency; reasonable operation control and maintenance planning reduces the frequent start-stop of equipment such as compressors, reduces equipment wear and failure rate, thereby extending the service life of the air conditioning system and reducing equipment maintenance and replacement costs. (2) By accurately selecting the characteristic time period when the refrigeration unit is closed and there is no interference from additional heat sources, this invention eliminates the influence of unstable factors such as human activities and equipment operation on the heat dissipation of the area, making the assessment of the heat exchange capacity of the target refrigeration area based on its own building characteristics and outdoor environment more accurate and reliable. By combining the outdoor environment deviation adjustment coefficient and indoor environment temperature of each characteristic time period for comprehensive analysis, the key factors affecting the heat dissipation of the area are fully considered, further improving the scientificity and accuracy of the assessment of the basic heat dissipation index of the area, and laying a solid foundation for the precise control of the refrigeration system in the future. (3) This invention sets reasonable outdoor environment deviation adjustment coefficients according to the relationship between outdoor ambient temperature and preset outdoor ambient temperature in different characteristic time periods; effectively incorporates the indoor and outdoor ambient temperature difference factor into the heat dissipation index calculation, making the calculation results more consistent with the heat dissipation situation under actual environmental conditions, and avoiding calculation deviations caused by ignoring the influence of temperature difference; this embodiment also evaluates the heat exchange capacity and heat preservation performance of the target cooling area by the difference in the time it takes for the indoor ambient temperature to reach the preset change amount under the same outdoor ambient temperature between the target cooling area and the preset cooling area; this comparison method intuitively and clearly reflects the actual situation of heat exchange between the target cooling area and the outdoor environment based on its own building characteristics, providing a reliable basis for in-depth analysis of the area's heat dissipation performance; (4) When the current heat dissipation level of the target cooling area is medium, the lower limit of the temperature threshold is reduced, so that when the indoor ambient temperature reaches the lower limit, the compressor will not reach the upper limit in a very short time after stopping, and the compressor will be restarted, thus avoiding energy waste caused by the compressor start-stop time being too short; when the current heat dissipation level of the target cooling area is high, the lower limit of the temperature threshold reaches the lowest level, and an early warning is issued to the management terminal to remind the management personnel to reduce the load or improve the insulation performance of the target cooling area; it can promptly notify the management personnel to take measures before the heat dissipation problem becomes serious enough to affect the comfort of the indoor environment or the normal operation of the cooling system; by reducing the load, the generation of indoor heat sources can be reduced, and by improving the insulation performance, the area's ability to block heat can be enhanced, thereby effectively improving the heat dissipation situation, ensuring the stable operation of the target cooling area, and avoiding equipment damage, energy waste or indoor environmental deterioration caused by heat dissipation problems. Attached Figure Description
[0016] The invention will now be further described with reference to the accompanying drawings.
[0017] Figure 1 This is a system module framework diagram of one embodiment of the present invention. Detailed Implementation
[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] Please see Figure 1 As shown, in one embodiment, an intelligent building electrical equipment maintenance planning system is provided, applicable to air conditioning systems; the air conditioning system includes a compressor and a refrigeration unit; The data acquisition module is used to collect outdoor environmental information data and indoor environmental information data of the target cooling area of the refrigeration unit. Specifically, the indoor environmental information data may include indoor ambient temperature, number of people, and temperature of each electrical device in the target cooling area; the outdoor environmental information data includes outdoor ambient temperature. By comprehensively collecting indoor and outdoor environmental information data, a rich and accurate foundation is provided for subsequent analysis and decision-making, enabling the system to more accurately understand the operating environment of the air conditioning system, because the cooling effect and energy consumption of the air conditioner are closely related to indoor and outdoor environmental factors. The detection module is used to analyze outdoor and indoor environmental information data within a preset time period to obtain the basic heat dissipation index of the target cooling area. Specifically, different buildings and areas have different internal structures and wall materials. Therefore, the basic heat dissipation index obtained by the detection module is used to reflect the area's ability to exchange heat with the outdoor environment based on its own building characteristics (such as wall thermal conductivity, window insulation effect, building orientation, etc.) in the absence of other heat sources. The temperature threshold setting module analyzes the basic heat dissipation index of the area, current outdoor environmental data, and indoor environmental data to determine the current temperature rise index of the target cooling area. This current temperature rise index reflects the heat dissipation demand of the target cooling area under the current environment. Based on the current temperature rise index, the module determines the heat dissipation level of the target cooling area; different heat dissipation levels correspond to different cooling demands and energy consumption levels. Therefore, the module determines the current temperature threshold of the cooling unit based on the heat dissipation level of the target cooling area. Specifically, this dynamic threshold adjustment method prevents the compressor from restarting in a short period due to small fluctuations in indoor temperature after it has stopped, extending the compressor's start-stop time, extending its lifespan, and reducing energy consumption.
[0020] Through the above technical solutions, this embodiment dynamically adjusts the temperature threshold to avoid frequent start-ups and shutdowns of the air conditioning system, reducing unnecessary energy waste; at the same time, it rationally allocates cooling resources according to the regional heat dissipation level, further optimizing energy utilization efficiency; reasonable operation control and maintenance planning reduce the frequent start-ups and shutdowns of equipment such as compressors, reduce equipment wear and failure rate, thereby extending the service life of the air conditioning system and reducing equipment maintenance and replacement costs. It should be noted that the methods for collecting indoor ambient temperature, number of people, temperature of each electrical device in the target cooling area, and outdoor ambient temperature are existing technologies and will not be described in detail here.
[0021] As one embodiment of the present invention, the basic heat dissipation index of the region is obtained as follows: S1: Select at least one characteristic time period from the preset number of past days; Specifically, the characteristic time period is the period during which the indoor ambient temperature reaches a preset change in the target cooling area after the cooling unit is turned off, under the condition of being sealed (without windows or doors open) and without any additional heat sources (such as people and user equipment). By accurately selecting such characteristic time periods, the ability of the target cooling area to exchange heat with the outdoor environment based on its own building characteristics can be effectively evaluated in the absence of other heat sources. S2: Analyze the outdoor ambient temperature for each characteristic time period to obtain the outdoor environment deviation adjustment coefficient for each characteristic time period. Specifically, the outdoor environment deviation adjustment coefficient for each characteristic time period reflects the degree of deviation between the outdoor environment and the preset outdoor environment for each characteristic time period. This step can quantify the differences in the outdoor environment and provide key outdoor environment reference for the subsequent accurate analysis of the heat dissipation of the target cooling area, avoiding deviations in heat dissipation analysis due to different outdoor environments. S3: Based on the outdoor environmental deviation adjustment coefficient and indoor ambient temperature of each characteristic time period, the basic heat dissipation index of the target cooling area is obtained. Specifically, this step comprehensively considers the two important factors of outdoor environmental deviation and indoor ambient temperature, which can comprehensively and accurately assess the heat dissipation capacity of the target cooling area, thereby deriving a scientific and reasonable basic heat dissipation index of the area, providing strong support for the precise control of the subsequent cooling system. Through the above technical solution, this embodiment accurately selects the characteristic time periods when the refrigeration unit is off and there is no interference from additional heat sources, eliminating the influence of unstable factors such as human activities and equipment operation on the heat dissipation of the area. This makes the assessment of the heat exchange capacity of the target refrigeration area based on its own building characteristics and the outdoor environment more accurate and reliable. By combining the outdoor environment deviation adjustment coefficient and indoor environment temperature of each characteristic time period for comprehensive analysis, the key factors affecting the heat dissipation of the area are fully considered, further improving the scientificity and accuracy of the assessment of the basic heat dissipation index of the area, and laying a solid foundation for the precise control of the subsequent refrigeration system. It should be noted that the detection method for the target cooling area being sealed (without windows or doors) and without any additional heat sources (such as people and user equipment) is existing technology and will not be described in detail here.
[0022] As one embodiment of the present invention, in step S2, formula one is used: ; Calculate the first Outdoor environmental deviation adjustment coefficient for each characteristic time period ; in, The number of characteristic time periods, ; For the first The start time of each characteristic time period; For the first The end time of each characteristic time period; For the first Curves showing the change of outdoor ambient temperature over time for a specific time period; Preset outdoor ambient temperature; This is the first preset constant; Formula 1 Explanation: For the first Cumulative outdoor ambient temperature values for a specific time period; For the first Average outdoor ambient temperature over a specific time period; To preset outdoor ambient temperature and the first The difference in average outdoor ambient temperature over a specific time period; when When the preset outdoor ambient temperature is greater than the first time, it indicates that the outdoor ambient temperature is greater than the first time. The average outdoor ambient temperature over a specific time period indicates a relatively high outdoor ambient temperature, at which point the outdoor environment deviation adjustment coefficient is applied. ;when When the preset outdoor ambient temperature is less than the first time, it indicates that the outdoor ambient temperature is less than the first time. The average outdoor ambient temperature over a specific time period indicates a relatively high outdoor ambient temperature, at which point the outdoor environment deviation adjustment coefficient is applied. ; Through the above technical solution, this embodiment comprehensively considers the dynamic changes of outdoor ambient temperature within a characteristic time period, accurately measures the deviation between the actual outdoor environment and the preset environment, and provides a precise and reliable quantitative basis for subsequent analysis. This makes the assessment of the impact of the outdoor environment no longer limited to the temperature value at a single moment, but can reflect the comprehensive situation of the entire time period. This embodiment can also clearly distinguish the high and low outdoor ambient temperatures based on the positive or negative value of the difference between the preset temperature and the average temperature, and set different deviation adjustment coefficients accordingly. This processing method fully considers the different impacts of different outdoor environmental conditions on the heat dissipation of the target cooling area, making the analysis results more in line with the actual situation, and can accurately deal with both low and high outdoor temperatures. It should be noted that the preset outdoor ambient temperature and the first preset constant These are preset values, set based on empirical fitting, and will not be detailed here.
[0023] As one embodiment of the present invention, in step S3, formula two is used: ; Calculate the regional basic heat dissipation index of the target cooling area. ; in, The preset duration is the basic time limit; This is the second preset constant; To remove the unit coefficient; Explanation of Formula 2: For the first The duration of the characteristic time period, i.e., the duration of the first characteristic time period. The time it takes for the indoor ambient temperature to reach a preset change in a sealed (no windows or doors open) and non-external heat source (e.g., people or user equipment) environment after each cooling unit is turned off; basic preset time. The duration for the indoor temperature to reach a preset change in a preset cooling zone under a preset outdoor ambient temperature, after the cooling unit is turned off and there is no additional heat source; To ensure that the pre-defined cooling area is sealed (without windows or doors) and has no additional heat sources (such as people or user equipment) after the cooling unit is turned off, in the first... Under the outdoor ambient temperature for a given period of time, the indoor ambient temperature reaches a preset change over a preset duration; when the outdoor ambient temperature reaches a preset change over a given period of time... When the outdoor ambient temperature is lower than the preset outdoor ambient temperature during a specific time period, it indicates that the... During a specific time period, the temperature difference between the outdoor and indoor environments is relatively small. Therefore, the rate of change in indoor temperature is slower, and the outdoor environment deviation adjustment coefficient is adjusted accordingly. ; When the first When the outdoor ambient temperature during a specific time period is higher than the preset outdoor ambient temperature, it indicates that the... During certain time periods, the temperature difference between the outdoor and indoor environments is significant, leading to a faster rate of change in indoor temperature. In this case, the outdoor environment deviation adjustment coefficient... , ; For the first Under the outdoor ambient temperature within a specific time period, the difference in duration between the indoor ambient temperature of the preset cooling area and the target cooling area reaching the preset change amount; when At that time, it indicates that in the first... Under the outdoor ambient temperature during the characteristic time period, the duration for the indoor ambient temperature in the target cooling area to reach the preset change amount is shorter, indicating that in the first characteristic time period... In a target cooling zone within a specific time period, under sealed conditions (no windows or doors open) and without additional heat sources (such as people or user equipment), compared to a preset cooling zone, the building exhibits a stronger ability to exchange heat with the outdoor environment based on its own building characteristics, meaning its insulation performance is relatively poor. At that time, it indicates that in the first... Under the outdoor ambient temperature during a specific time period, the indoor ambient temperature in the target cooling area takes a longer time to reach the preset change amount, indicating that in the first characteristic time period... In a target cooling zone within a specific time period, under sealed conditions (no windows or doors open) and without additional heat sources (such as people or user equipment), compared to a preset cooling zone, its ability to exchange heat with the outdoor environment based on its own building characteristics is weaker, meaning its insulation performance is better. A more accurate reflection of the target cooling area's ability to exchange heat with the outdoor environment based on its own building characteristics; the stronger the heat exchange capacity, i.e., the worse the insulation performance, the higher the basic heat dissipation index of the target cooling area. The larger the value, the weaker the heat exchange capacity, meaning the better the insulation performance. This corresponds to the basic heat dissipation index of the target cooling area. smaller Through the above technical solution, this embodiment sets reasonable outdoor environment deviation adjustment coefficients according to the relationship between outdoor ambient temperature and preset outdoor ambient temperature during different characteristic time periods; effectively incorporating the indoor and outdoor temperature difference into the heat dissipation index calculation, making the calculation results more consistent with the actual heat dissipation under environmental conditions, and avoiding calculation deviations caused by ignoring the influence of temperature difference; this embodiment also evaluates the heat exchange capacity and thermal insulation performance of the target cooling area by measuring the difference in the time it takes for the indoor ambient temperature to reach a preset change amount under the same outdoor ambient temperature between the target cooling area and the preset cooling area; this comparison method intuitively and clearly reflects the actual situation of heat exchange between the target cooling area and the outdoor environment based on its own building characteristics, providing a reliable basis for in-depth analysis of the area's heat dissipation performance; It should be noted that the unit coefficient is removed. Basic preset duration and the second preset constant These are preset values, set based on empirical fitting, and will not be detailed here.
[0024] As one embodiment of the present invention, formula three is used: ; Calculate the current temperature rise index of the target cooling area. .
[0025] in, This refers to the current outdoor ambient temperature. The target indoor temperature; The number of electrical devices in the target cooling area. ; The number of people in the target cooling area; For the first The current temperature of each electrical device; The first weighting coefficient; This is the second weighting coefficient; This is the third weighting coefficient; This is the fourth weighting coefficient; This is the first preset constant; This is the second preset constant; This is the third preset constant; This is the fourth preset constant.
[0026] Explanation of Formula 3: This represents the difference between the current outdoor ambient temperature and the target indoor temperature. The greater the difference, the faster the target cooling area heats up, and the more people are present. The more [temperatures / equipment], the faster the temperature rises in the target cooling area; the cumulative current temperature of the electrical equipment in the target cooling area. The higher the value, the faster the temperature rises in the target cooling area, and the higher the basic heat dissipation index of the target cooling area. The higher the temperature index, the faster the target cooling region heats up; therefore, the current temperature rise index of the target cooling region is... The larger the difference between the current outdoor ambient temperature and the target indoor temperature, the slower the temperature rises in the target cooling area, and the fewer people there are. The fewer the values, the slower the temperature rises in the target cooling area; the cumulative current temperature of the electrical equipment in the target cooling area. The lower the value, the slower the temperature rise rate of the target cooling area, and the lower the basic heat dissipation index of the target cooling area. The lower the value, the slower the temperature rise rate of the target cooling area; therefore, the current temperature rise index of the target cooling area is... The smaller; Through the above technical solution, this embodiment comprehensively integrates multiple key factors such as the current outdoor ambient temperature, indoor target temperature, number and temperature of electrical equipment, number of people, and basic heat dissipation index of the area; the difference between the outdoor and indoor target temperatures directly reflects the magnitude of the driving force for heat transfer; the operation of electrical equipment generates heat, and its quantity and current cumulative temperature value reflect the intensity of the internal heat source; the number of people determines the important factor of human body heat dissipation; the basic heat dissipation index of the area reflects the area's ability to exchange heat with the outdoor environment based on its own building characteristics; this multi-dimensional comprehensive consideration enables the calculated current temperature rise index to more accurately and comprehensively reflect the actual temperature rise of the target cooling area; It should be noted that the outdoor ambient temperature in this application is always higher than the indoor target temperature; It should be noted that the target indoor temperature The settings were configured by the staff themselves and will not be detailed here. It should be noted that the first weighting coefficient Second weighting coefficient Third weighting coefficient Fourth weighting coefficient First preset constant Second preset constant Third preset constant and the fourth preset constant These are preset values, set based on empirical fitting, and will not be detailed here.
[0027] As one embodiment of the present invention, the process for determining the current heat dissipation level of the target cooling area is as follows: The current temperature rise index of the target cooling area With preset heat dissipation threshold Compare; when At that time, the current temperature rise index of the target cooling area The current heat dissipation level of the target cooling area is low; when At that time, the current temperature rise index of the target cooling area The target cooling area is relatively large, and its current heat dissipation level is medium. when At that time, the current temperature rise index of the target cooling area The current heat dissipation level of the target cooling area is high; (The current heat dissipation level of the target cooling area is too large.) The temperature threshold is ; in, This is the current threshold adjustment coefficient; The preset temperature value; Through formula four: ; Calculate the current threshold adjustment coefficient ; in, This is the third preset constant; Through the above technical solution, in this embodiment, when the current heat dissipation level of the target cooling area is low, the temperature threshold is: When the current heat dissipation level of the target cooling area is medium, the temperature threshold is: The lower limit of the temperature threshold is lowered, ensuring that when the indoor ambient temperature reaches the lower limit, the compressor will not reach the upper limit in a very short time after stopping, thus preventing energy waste caused by excessively short compressor start-stop times. When the current heat dissipation level of the target cooling area is high, the temperature threshold is... When the lower limit of the temperature threshold is reached, an early warning is sent to the management terminal, reminding the management personnel to reduce the load or improve the insulation performance of the target cooling area. It can promptly notify the management personnel to take measures before the heat dissipation problem becomes so serious that it may affect the comfort of the indoor environment or the normal operation of the cooling system. By reducing the load, the generation of indoor heat sources can be reduced, and by improving the insulation performance, the area's ability to block heat can be enhanced, thereby effectively improving the heat dissipation situation, ensuring the stable operation of the target cooling area, and avoiding equipment damage, energy waste, or indoor environmental deterioration caused by heat dissipation problems. It should be noted that the preset heat dissipation threshold and the third preset constant These are preset values, set based on empirical fitting, and will not be detailed here.
[0028] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.
Claims
1. An intelligent maintenance planning system for building electrical equipment, applicable to air conditioning systems; The air conditioning system includes a compressor and a refrigeration unit; characterized in that, The maintenance planning system includes: The data acquisition module is used to collect outdoor environmental information data and indoor environmental information data of the target cooling area of the refrigeration unit; The detection module is used to analyze outdoor and indoor environmental information data within a preset time period to obtain the basic heat dissipation index of the target cooling area. The temperature threshold setting module is used to analyze the basic heat dissipation index of the area, the current outdoor environmental information data, and the indoor environmental information data to determine the current temperature rise index of the target cooling area, determine the heat dissipation level of the target cooling area based on the current temperature rise index of the target cooling area, and determine the current temperature threshold of the cooling unit based on the heat dissipation level of the target cooling area.
2. The intelligent building electrical equipment maintenance planning system according to claim 1, characterized in that, The indoor environmental information data includes indoor ambient temperature, number of people, and temperature of each electrical device in the target cooling area; the outdoor environmental information data includes outdoor ambient temperature.
3. The intelligent building electrical equipment maintenance planning system according to claim 2, characterized in that, The basic heat dissipation index of the region is obtained as follows: S1: Select at least one characteristic time period from the preset number of past days; S2: Analyze the outdoor ambient temperature for each characteristic time period to obtain the outdoor environment deviation adjustment coefficient for each characteristic time period. S3: Based on the outdoor environmental deviation adjustment coefficient and indoor environmental temperature of each characteristic time period, the basic heat dissipation index of the target cooling area is obtained.
4. The intelligent building electrical equipment maintenance planning system according to claim 3, characterized in that, In step S2, according to formula one: ; Calculate the first Outdoor environmental deviation adjustment coefficient for each characteristic time period ; in, The number of characteristic time periods, ; For the first The start time of each characteristic time period; For the first The end time of each characteristic time period; For the first Curves showing the change of outdoor ambient temperature over time for a specific time period; Preset outdoor ambient temperature; This is the first preset constant.
5. The intelligent building electrical equipment maintenance planning system according to claim 4, characterized in that, In step S3, according to formula two: ; Calculate the regional basic heat dissipation index of the target cooling area. ; in, The preset duration is the basic time limit; This is the second preset constant; This is a coefficient to remove the unit.
6. The intelligent building electrical equipment maintenance planning system according to claim 5, characterized in that, Through formula three: ; Calculate the current temperature rise index of the target cooling area. ; in, This refers to the current outdoor ambient temperature. The target indoor temperature; The number of electrical devices in the target cooling area. ; The number of people in the target cooling area; For the first The current temperature of each electrical device; This is the first weighting coefficient; This is the second weighting coefficient; This is the third weighting coefficient; This is the fourth weighting coefficient; This is the first preset constant; This is the second preset constant; This is the third preset constant; This is the fourth preset constant.
7. The intelligent building electrical equipment maintenance planning system according to claim 6, characterized in that, The process for determining the current heat dissipation level of the target cooling area is as follows: The current temperature rise index of the target cooling area With preset heat dissipation threshold Compare; when At that time, the current heat dissipation level of the target cooling area is low. when At that time, the current heat dissipation level of the target cooling area is medium. when At that time, the current heat dissipation level of the target cooling area is high.
8. The intelligent building electrical equipment maintenance planning system according to claim 7, characterized in that, The temperature threshold is ; in, This is the current threshold adjustment coefficient; This is the preset temperature value.
9. The intelligent building electrical equipment maintenance planning system according to claim 8, characterized in that, Through formula four: ; Calculate the current threshold adjustment coefficient ; in, This is the third preset constant.
10. The intelligent building electrical equipment maintenance planning system according to claim 9, characterized in that, When the current heat dissipation level of the target cooling area is high, an early warning is sent to the management terminal.
