Intelligent energy-saving control system for building refrigeration machine room

Abstract

The application relates to the technical field of refrigeration control, in particular to an intelligent energy-saving control system for a building refrigeration machine room, which comprises a building area classification module, a deviation detection module, an identification module and a refrigeration control module, each space area is classified according to the function of the space area; the real-time energy consumption deviation value of a building to be monitored is obtained, the standard energy consumption deviation value is compared with the real-time energy consumption deviation value, and the difference between the actual energy consumption and the expected energy consumption is determined; whether the actual operation mode of the air conditioner is adjusted is determined according to the difference. The application identifies the type of the energy consumption use condition at the current moment, flexibly adjusts the air conditioner operation strategy at different time periods, improves the adaptability to the use scene and demand change, re-identifies the current energy consumption load at the peak period, temporarily closes unnecessary air conditioner equipment, controls the start-stop of the air conditioner equipment, and optimizes the start-stop control parameters, so that the effective management of the building area energy consumption is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of refrigeration control, and particularly relates to an intelligent energy-saving control system for building refrigeration machine room. BACKGROUND

[0002] With the increasing emphasis on energy utilization efficiency, the energy consumption problem of building refrigeration machine room is gradually highlighted. The traditional refrigeration machine room usually adopts manual control or simple automatic control mode, which has many disadvantages. On the one hand, manual operation is difficult to accurately adjust according to the actual cooling load demand of the building in real time, often leading to energy waste. On the other hand, the traditional control system does not comprehensively monitor the running state of the equipment, and it is difficult to find equipment failure or low efficiency operation in time, thereby affecting the refrigeration effect and energy consumption. In addition, with the expansion of building scale and the complication of building function, the number of refrigeration system equipment increases, and the running condition becomes more complex, so the limitation of traditional control mode is more and more obvious. Therefore, it has become a problem to be solved in the field of building energy saving to realize fine and intelligent control of building refrigeration machine room, improve energy utilization efficiency and reduce operation cost.

[0003] The Chinese patent document with the patent number CN118210233A discloses a building refrigeration machine room intelligent control method and system. The running state data of the target building refrigeration machine room is extracted, and the initial state trend conversion vector is generated by combining the pre-defined control strategy for multi-round state trend prediction conversion. In this process, part of the first state control factor is converted into the second state control factor, thereby realizing the fine description of the machine room running state. Further, the control instruction matching is performed by using the machine room control knowledge base to generate the control instruction matched with the target building refrigeration machine room. The invention can realize efficient and accurate control of the building refrigeration machine room, improve the machine room running efficiency, reduce the energy consumption, and achieve the purpose of energy saving and emission reduction. At the same time, it also has adaptability and scalability, which can adapt to the control requirements of building refrigeration machine room of different scales and types, and provides a new solution for building intelligent management.

[0004] However, the existing technology still has the following problems:

[0005] In the existing building refrigeration machine room general control system, the influence of building area functionality on energy consumption is not considered, and there is a lack of detection and adaptive intelligent adjustment of building energy consumption, resulting in low energy utilization rate. SUMMARY

[0006] Therefore, the present application provides an intelligent energy-saving control system for building refrigeration machine room, which overcomes the problem that the existing building refrigeration machine room general control system does not consider the influence of building area functionality on energy consumption, lacks detection and adaptive intelligent adjustment of building energy consumption, and results in low energy utilization rate.

[0007] To achieve the above object, the application provides an intelligent energy-saving control system for a building refrigeration machine room, comprising,

[0008] A building area classification module is configured to classify each space area according to the function of the space area into a first distribution type and a second distribution type.

[0009] A deviation detection module is configured to obtain a real-time energy consumption deviation value of the building to be monitored according to a preset monitoring period, and compare the standard energy consumption deviation value with the real-time energy consumption deviation value, and determine the difference between the actual energy consumption and the expected energy consumption according to the comparison result.

[0010] An identification module is configured to identify the time period to which the current time period belongs when the actual energy consumption and the expected energy consumption are determined to be different, and obtain an identification type result.

[0011] A refrigeration control module is configured to determine whether to adjust the actual operation mode of the air conditioner based on the identification type result, comprising,

[0012] When the identification type result is a peak period, and the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, a temporary shutdown mode is started, and when the temporary shutdown equipment proportion is less than or equal to the standard equipment proportion, a start-stop control strategy is executed, and whether to adjust the start-stop control strategy is determined based on the actual start-stop frequency and the temperature fluctuation.

[0013] When the identification type result is a peak period, and the real-time space utilization rate is greater than the standard space utilization rate, the air conditioner temperature operation mode of the space area corresponding to the first distribution type is adjusted.

[0014] Wherein, whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation includes, when the actual start-stop frequency is greater than or equal to the standard start-stop frequency, a second adjustment strategy is executed, and when the actual start-stop frequency is less than the standard start-stop frequency and the temperature fluctuation is abnormal, a first adjustment strategy is executed.

[0015] Further, the deviation detection module configured to determine the difference between the actual energy consumption and the expected energy consumption according to the comparison result comprises,

[0016] configured to calculate the real-time energy consumption deviation value according to the actual energy consumption and the expected energy consumption;

[0017] configured to calculate the standard energy consumption deviation value;

[0018] configured to compare the standard energy consumption deviation value with the real-time energy consumption deviation value, and determine that the actual energy consumption and the expected energy consumption are different when the real-time energy consumption deviation value is greater than the standard energy consumption deviation value.

[0019] Further, the refrigeration control module is configured to determine whether to adjust an actual operation mode of the air conditioner based on the identification type result, including,

[0020] If the peak period is identified, a current power grid energy consumption load is obtained, and whether to start a closing mode of the air conditioning equipment is determined according to the real-time power grid energy consumption load;

[0021] If the valley period is identified, an air conditioning temperature operation mode of each space area is adjusted.

[0022] If the normal period is identified, a real-time space usage rate is obtained, the real-time space usage rate is determined, and an adjustment range of the air conditioning equipment in the building to be monitored is selected according to a determination result.

[0023] The temperature operation mode of the air conditioner is adjusted by increasing a temperature setting of the air conditioner by a predetermined temperature.

[0024] Further, the refrigeration control module is configured to determine whether to start a closing mode of the air conditioning equipment according to the real-time power grid energy consumption load, including,

[0025] If the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, a temporary closing mode is started, and whether to adjust a start-stop control strategy is determined according to a temporary closing equipment proportion.

[0026] If the real-time power grid energy consumption load is less than or equal to the standard power grid energy consumption load, a real-time space usage rate is obtained, the real-time space usage rate is determined, and an adjustment range of the air conditioning equipment is selected according to a determination result.

[0027] Further, the refrigeration control module is configured to determine the real-time space usage rate, including,

[0028] The real-time space usage rate is compared with a standard space usage rate.

[0029] An adjustment range of the air conditioning equipment is determined according to a comparison result.

[0030] An air conditioning temperature operation mode is executed based on the adjustment range of the air conditioning equipment.

[0031] The air conditioning temperature operation mode is executed by increasing a temperature setting of the air conditioner in each space area by a predetermined temperature.

[0032] Further, the refrigeration control module is configured to start a temporary closing mode and determine whether to adjust a start-stop control strategy according to a temporary closing equipment proportion, including,

[0033] Unnecessary air conditioning equipment is determined according to a historical usage frequency of the air conditioning equipment.

[0034] The unnecessary air conditioning equipment is closed for a preset temporary time length.

[0035] calculating a temporary shutdown equipment proportion according to the number of unnecessary air conditioning equipment;

[0036] determining whether to execute a start-stop control strategy according to the temporary shutdown equipment proportion;

[0037] The temporary shutdown equipment proportion is a percentage of the number of unnecessary air conditioning equipment to the total number of air conditioning equipment in the building to be monitored.

[0038] Further, the refrigeration control module determining whether to execute the start-stop control strategy according to the temporary shutdown equipment proportion comprises,

[0039] comparing the temporary shutdown equipment proportion with a standard equipment proportion,

[0040] if the temporary shutdown equipment proportion is less than or equal to the standard equipment proportion, executing the start-stop control strategy, and determining whether to adjust the start-stop control strategy based on an actual start-stop frequency and a temperature fluctuation;

[0041] if the temporary shutdown equipment proportion is greater than the standard equipment proportion, not executing the start-stop control strategy;

[0042] The start-stop control strategy is to control shutdown or startup at a time point corresponding to the first temperature and the second temperature with a preset advance start-stop time. The adjustment of the start-stop control strategy includes a first adjustment strategy and a second adjustment strategy. The first adjustment strategy is to reduce the preset advance start-stop time. The second adjustment strategy is to increase the preset advance start-stop time.

[0043] Further, the refrigeration control module determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation comprises,

[0044] acquiring an actual start-stop frequency of any air conditioning equipment in a preset analysis duration, and determining the actual start-stop frequency according to a standard start-stop frequency;

[0045] if the actual start-stop frequency is less than the standard start-stop frequency, acquiring a temperature fluctuation corresponding to the air conditioning equipment, and executing the first adjustment strategy when the temperature fluctuation is abnormal;

[0046] if the actual start-stop frequency is greater than or equal to the standard start-stop frequency, determining that a set parameter is abnormal, and executing the second adjustment strategy;

[0047] The first adjustment strategy is to reduce the preset advance start-stop time. The second adjustment strategy is to increase the preset advance start-stop time.

[0048] Further, the refrigeration control module determining the unnecessary air conditioning equipment according to the historical use frequency of the air conditioning equipment comprises,

[0049] acquiring a historical use frequency of the air conditioning device for any spatial region, comparing the historical use frequency with a use frequency threshold,

[0050] if the historical use frequency is less than the use frequency threshold, marking the corresponding air conditioning device as an unnecessary air conditioning device.

[0051] Further, the deviation detection module calculates the standard energy consumption deviation value, including calculating the standard energy consumption deviation value according to the number of floors, temperature and humidity, wind speed, noise, artificial lighting illuminance, natural lighting illuminance, and carbon dioxide concentration.

[0052] Compared with the prior art, the beneficial effects of the present application are that due to the functional diversity of building design, the energy consumption characteristics are also relatively complex, therefore, by analyzing the actual energy consumption load of the whole building to be monitored, it is determined whether there is a large difference between the actual energy consumption load and the expected energy consumption load according to the analysis result, and the type to which the current energy consumption use case belongs is identified, in different time periods, the air conditioning operation strategy is flexibly adjusted according to the real-time space utilization rate and the power grid load, the adaptability to changes in use scenarios and demands is improved, in peak periods, the current energy consumption load is identified again, and by temporarily shutting down unnecessary air conditioning devices, the start and stop of air conditioning devices are controlled, and the start and stop control parameters are optimized, i.e. the preset advance start and stop time is adjusted, to realize effective management of the building area energy consumption, reduce the need for manual intervention, by identifying unnecessary air conditioning devices and temporarily shutting them down, not only can the service life of the equipment be extended and maintenance costs be reduced, but also the energy consumption can be effectively reduced and unnecessary energy waste can be reduced, thereby improving the overall energy efficiency, reducing energy consumption, reducing carbon emissions, promoting sustainable development, meeting the requirements of modern society for environmental protection, and providing a more comfortable environment for users by intelligently adjusting the temperature and intensity of the air conditioner, improving the overall occupancy experience.

[0053] Further, by periodically monitoring the actual energy consumption of the building area, the deviation degree of the actual energy consumption and the expected energy consumption is calculated, when it is determined that the real-time energy consumption deviation value is less than or equal to the standard energy consumption deviation value, it means that the deviation between the actual energy consumption and the expected energy consumption is small, i.e. the energy consumption management strategy is effective, when it is determined that the real-time energy consumption deviation value is greater than the standard energy consumption deviation value, it means that the deviation between the actual energy consumption and the expected energy consumption is large, and the air conditioning operation strategy of the building area needs to be optimized according to the actual situation to improve energy efficiency, i.e. by identifying the time period of the current time, different air conditioning operation control strategies are selected in different time periods to improve the adaptability to changes in use scenarios and demands, thereby ensuring the effectiveness of the energy consumption management strategy.

[0054] Especially, by controlling at the time point corresponding to the first temperature and the second temperature, the air conditioning system can be stopped or started in advance before reaching the set temperature, so as to avoid too low or too high temperature, and by analyzing the actual start-stop frequency and the temperature fluctuation, whether the start-stop control parameter is accurate is determined, and the effectiveness of the start-stop control strategy is ensured.

[0055] Further, when it is determined that the actual start-stop frequency is greater than or equal to the standard start-stop frequency, it indicates that the air conditioning device is too frequent to start and stop, because the preset start-stop time is set too small, the air conditioning system is too sensitive to temperature change, resulting in frequent start and stop, therefore, by increasing the preset start-stop time, the unnecessary start-stop times are reduced, if it is determined that the actual start-stop frequency is less than the standard start-stop frequency, it indicates that the start frequency of the air conditioning system is normal, but the indoor temperature change needs to be analyzed to avoid that the preset start-stop time is set too long, although the start frequency is normal, the system appears delayed start or stop, resulting in that the indoor temperature exceeds the comfortable range. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 It is a structural schematic view of the intelligent energy-saving control system for building refrigeration machine room of the embodiment of the present application.

[0057] Figure 2 It is a logic determination diagram for determining whether to start the air conditioning device closing mode according to the real-time power grid energy consumption load of the embodiment of the present application.

[0058] Figure 3 It is a logic determination diagram for determining whether to execute the start-stop control strategy according to the temporary closing device proportion of the embodiment of the present application.

[0059] Figure 4 It is a logic determination diagram for determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation of the embodiment of the present application. DETAILED DESCRIPTION

[0060] In order to make the purpose and advantages of the present application more clear and obvious, the present application is further described below in combination with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the protection scope of the present application.

[0061] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not used to limit the protection scope of the present application.

[0062] It should be noted that in the description of the present application, the terms indicating the direction or positional relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0063] In addition, it should be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0064] Please refer to Figure 1 The present application provides a kind of building refrigeration plant room intelligent energy-saving control system, including,

[0065] Building area classification module, it is to each space area according to the function of space area and is classified into first distribution type and second distribution type;

[0066] Deviation detection module, it is to obtain the real-time energy consumption deviation value of the building to be monitored according to preset monitoring period, and compare standard energy consumption deviation value with real-time energy consumption deviation value, and the difference between actual energy consumption and expected energy consumption is determined according to the comparison result;

[0067] Identification module, it is to identify the time period of the current time period when determining that there is difference between actual energy consumption and expected energy consumption, to obtain identification type result;

[0068] Refrigeration control module, it is to determine whether to adjust the actual operation mode of air conditioner based on identification type result, including,

[0069] When identification type result is peak period, and real-time power grid energy consumption load is greater than standard power grid energy consumption load, start temporary shutdown mode, and when temporary shutdown equipment ratio is less than or equal to standard equipment ratio, execute start-stop control strategy, and determine whether to adjust start-stop control strategy based on actual start-stop frequency and temperature fluctuation;

[0070] When identification type result is peak period, and real-time space utilization rate is greater than standard space utilization rate, adjust the air conditioning temperature operation mode of the space area corresponding to the first distribution type;

[0071] The determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation condition comprises: when the actual start-stop frequency is greater than or equal to the standard start-stop frequency, executing a second adjustment strategy, and when the actual start-stop frequency is less than the standard start-stop frequency and the temperature fluctuation is abnormal, executing a first adjustment strategy.

[0072] Specifically, the specific structure of the building area classification module, the deviation detection module, the identification module and the refrigeration control module is not limited, and the specific structure can be composed of a logic component including a field programmable gate array (FPGA), a microprocessor in a computer or a computer.

[0073] Due to the functional diversity of building design, the energy consumption characteristics are relatively complex, therefore, by analyzing the actual energy consumption load of the whole building to be monitored, it is determined whether there is a large difference between the actual energy consumption load and the expected energy consumption load according to the analysis result, and the type of the current energy consumption use is identified, in different time periods, the air conditioning operation strategy is flexibly adjusted according to the real-time space utilization rate and the power grid load, the adaptability to the use scene and demand change is improved, in the peak period, the current energy consumption load is identified again, and the start-stop of the air conditioning equipment is controlled by temporarily shutting down unnecessary air conditioning equipment, and the start-stop control parameters are optimized, that is, the preset advance start-stop time is adjusted, so as to realize the effective management of the building area energy consumption, ensure the comfort of the guest rooms and public areas, improve the intelligent level of building management, reduce the demand for manual intervention, identify unnecessary air conditioning equipment and temporarily shut it down, which not only prolongs the service life of the equipment and reduces the maintenance cost, but also effectively reduces the energy consumption and unnecessary energy waste, thereby improving the overall energy efficiency, reducing the energy consumption, reducing the carbon emission, promoting the sustainable development, meeting the requirements of modern society for environmental protection, and providing a more comfortable environment for users by intelligently adjusting the temperature and intensity of the air conditioner, and improving the overall occupancy experience.

[0074] In the embodiment, the first distribution type is the public area of the building to be monitored, including the guest room layer corridor, the lobby, the conference room and the like, and the second distribution type is each guest room; the space area includes the guest room, the lobby, the guest room layer corridor, the conference room, the office, the restaurant, the gym, the swimming room and the like of the building area; the preset monitoring period is the period of energy consumption monitoring of the building area, which is set to several days to one month, so as to quickly evaluate and adjust the air conditioning operation strategy, especially suitable for the period of seasonal change or special activity, and can realize rapid response.

[0075] In the implementation, the space utilization rate is determined by counting the occupancy of the guest room, and the occupancy rate of the guest room is determined as the space utilization rate.

[0076] Referring to Figure 2 As shown in the figure, it is a logic judgment diagram for determining whether to start the air conditioning equipment shutdown mode in real time according to the power grid energy consumption load in the embodiment of the application.

[0077] Specifically, the deviation detection module is configured to determine the difference between the actual energy consumption and the expected energy consumption according to the comparison result, including,

[0078] calculating a real-time energy consumption deviation value according to the actual energy consumption and the expected energy consumption;

[0079] calculating a standard energy consumption deviation value;

[0080] comparing the standard energy consumption deviation value with the real-time energy consumption deviation value, and determining that there is a difference between the actual energy consumption and the expected energy consumption when the real-time energy consumption deviation value is greater than the standard energy consumption deviation value.

[0081] In the embodiment, the real-time energy consumption deviation value is the difference between the actual energy consumption and the expected energy consumption, i.e. the value obtained by subtracting the expected energy consumption from the actual energy consumption. The expected energy consumption is related to the size, type, geographical location, building design, equipment efficiency, and number of rooms of the hotel, etc. Generally, the expected energy consumption of a small hotel is set to 100,000 to 300,000 kilowatt-hours, the expected energy consumption of a medium-sized hotel is set to 300,000 to 1,000,000 kilowatt-hours, and the expected energy consumption of a large hotel is set to 1,000,000 to 5,000,000 kilowatt-hours, and is selected according to the actual design characteristics of the hotel.

[0082] By periodically monitoring the actual energy consumption of the building area, the deviation degree of the actual energy consumption and the expected energy consumption is calculated. When it is determined that the real-time energy consumption deviation value is less than or equal to the standard energy consumption deviation value, it indicates that the deviation between the actual energy consumption and the expected energy consumption is small, i.e. the energy consumption management strategy is effective. When it is determined that the real-time energy consumption deviation value is greater than the standard energy consumption deviation value, it indicates that the deviation between the actual energy consumption and the expected energy consumption is large, and the air conditioning operation strategy of the building area needs to be optimized according to the actual situation to improve energy efficiency, i.e. by identifying the time period of the current time, different air conditioning operation control strategies are selected in different time periods to improve the adaptability to changes in use scenarios and demands, thereby ensuring the effectiveness of the energy consumption management strategy.

[0083] Specifically, the refrigeration control module is configured to determine whether to adjust the actual operation mode of the air conditioner based on the identification type result, including,

[0084] If the peak period is identified, the current power grid energy consumption load is obtained, and it is determined whether to start the air conditioning equipment shutdown mode according to the real-time power grid energy consumption load;

[0085] If the valley period is identified, the air conditioning temperature operation mode of each space area is adjusted;

[0086] If the normal period is identified, the real-time space usage rate is obtained, the real-time space usage rate is determined, and the adjustment range of the air conditioning equipment in the building to be monitored is selected according to the determination result;

[0087] The temperature operation mode of the air conditioner is adjusted by increasing the temperature setting of the air conditioner by a predetermined temperature.

[0088] In some embodiments, the predetermined temperature is selected from the interval [1℃, 3℃].

[0089] In some embodiments, the peak period is a period of time when the energy consumption in the hotel reaches the highest level, the valley period is a period of time when the energy consumption in the hotel is the lowest, and the flat period is a period of time between the peak period and the valley period, which corresponds to relatively stable passenger flow and energy consumption. The peak period includes weekday peak period, weekend peak period, meeting and activity peak, weekend and holiday peak period. The weekday peak period includes breakfast peak: 7:00-9:00 in the morning; lunch peak: 12:00-14:00 in the afternoon; dinner peak: 18:00-20:00 in the evening. The weekend peak period includes breakfast peak and evening leisure peak. The breakfast peak is 8:00-10:00 in the morning, and the evening leisure peak is 19:00-21:00 in the evening. The meeting and activity peak is 9:00-17:00 on weekdays. The valley period includes weekday valley period and weekend valley period. The weekday valley period includes late night period and afternoon valley period. The late night period is 22:00-6:00 in the evening, and the afternoon valley period is 14:00-17:00 in the afternoon. The flat period includes weekday flat period and weekend flat period. The weekday flat period is 6:00-7:00 in the morning, 9:00-12:00 in the afternoon, 17:00-18:00 in the evening, and 20:00-22:00 in the evening. The weekend flat period is 7:00-8:00 in the morning, 10:00-12:00 in the morning, 12:00-15:00 in the afternoon, 17:00-19:00 in the afternoon, and 21:00-22:00 in the evening.

[0090] By accurately analyzing the time period corresponding to the current time when the deviation between the actual energy consumption and the expected energy consumption is large, the operation strategy of the air conditioner is adaptively regulated according to the actual situation at different time periods. When the current time is identified as a peak period, the current power grid energy consumption load is obtained to determine the current energy consumption load again. If the real-time monitoring shows that the current energy consumption load is still high, it indicates that the energy consumption is abnormal. In this case, due to the large flow of people in the hotel, the air conditioner needs to provide cooling or heating services for multiple rooms and public areas at the same time, which will increase the load of the air conditioning system and prolong the start-up time. Moreover, if the air conditioner frequently starts and stops during the peak period, the compressor needs to consume a lot of power to overcome the static pressure and starting resistance each time, which will increase the energy consumption. Therefore, unnecessary air conditioning equipment needs to be identified and temporarily turned off to reduce energy consumption. The method is simple and direct. In addition, by calculating the proportion of unnecessary air conditioning equipment in the total equipment, it is determined whether to further adjust the operation of the air conditioning equipment to timely detect energy consumption abnormalities and take corresponding measures to optimize energy consumption during the peak period, thereby achieving effective management of the building area energy consumption. In the valley period, the temperature setting of the air conditioner is increased by a predetermined temperature to reduce energy consumption.

[0091] Specifically, the refrigeration control module determines whether to start the air conditioning equipment shutdown mode according to the real-time power grid energy consumption load, which includes,

[0092] If the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, the temporary shutdown mode is started, and whether to adjust the start-stop control strategy is determined according to the proportion of temporarily closed equipment.

[0093] If the real-time power grid energy consumption load is less than or equal to the standard power grid energy consumption load, the real-time space utilization rate is obtained, the real-time space utilization rate is determined, and the adjustment range of the air conditioning equipment is selected according to the determination result.

[0094] In this embodiment, the standard power grid energy consumption load is the expected energy consumption of all air conditioning equipment in the building to be monitored within a period of time, and the standard power grid energy consumption load is set to 500 kW. When it is determined that the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, it indicates that the current energy consumption load is high. When it is determined that the real-time power grid energy consumption load is less than or equal to the standard power grid energy consumption load, it indicates that the current energy consumption load is low.

[0095] In the ordinary period, or when the real-time monitoring shows that the current energy consumption load is low during the peak period, the real-time space utilization rate is monitored and analyzed. In the case of low space utilization rate, the operation intensity of the air conditioner in each space area is adjusted. In the case of high space utilization rate, the comfort of the guest room is prioritized, and the intensity of the air conditioner in the public area is appropriately reduced to reduce energy consumption.

[0096] Referring to Figure 3As shown, it is the logic decision diagram of the embodiment of the present application for determining whether to execute the start-stop control strategy according to the temporary shutdown equipment proportion;

[0097] Specifically, the real-time space utilization rate determination by the refrigeration control module comprises,

[0098] comparing the real-time space utilization rate with the standard space utilization rate;

[0099] determining the adjustment range of the air conditioning equipment according to the comparison result;

[0100] If the real-time space utilization rate is less than or equal to the standard space utilization rate, the adjustment range of the air conditioning equipment is determined to be all air conditioning equipment.

[0101] If the real-time space utilization rate is greater than the standard space utilization rate, the adjustment range of the air conditioning equipment is determined to be the air conditioning equipment of the space area corresponding to the first distribution type.

[0102] executing the air conditioning temperature operation mode based on the adjustment range of the air conditioning equipment;

[0103] The air conditioning temperature operation mode is executed by increasing the air conditioning temperature setting of each space area by a predetermined temperature.

[0104] In the embodiment, the standard space utilization rate represents the threshold of the set space utilization rate. When the threshold is higher, it indicates that the real-time space utilization rate is higher, and when the threshold is lower, it indicates that the real-time space utilization rate is lower. The standard space utilization rate is set to 80%.

[0105] When the real-time space utilization rate is low, the set temperature of the air conditioner in the entire space area of the hotel is appropriately increased to reduce the cooling load or heating load. When the real-time space utilization rate is high, only the set temperature of the air conditioner in the public space area of the building to be monitored is increased, and the set temperature of the air conditioner in the guest room is not reduced, thereby ensuring the comfort of the guest room while saving energy consumption.

[0106] Referring to Figure 4 As shown, it is the logic decision diagram of the embodiment of the present application for determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation condition;

[0107] Specifically, the refrigeration control module starts the temporary shutdown mode, and determines whether to adjust the start-stop control strategy according to the temporary shutdown equipment proportion comprises,

[0108] determining unnecessary air conditioning equipment according to the historical use frequency of the air conditioning equipment;

[0109] turning off the unnecessary air conditioning equipment for a preset temporary duration;

[0110] calculating the temporary shutdown equipment proportion according to the number of the unnecessary air conditioning equipment;

[0111] determining whether to execute the start-stop control strategy according to the temporary shutdown device proportion;

[0112] The temporary shutdown device proportion is a percentage of the number of unnecessary air conditioning devices to the total number of air conditioning devices in the building to be monitored.

[0113] The preset temporary duration in the embodiment is generally set to 30 minutes to 1 hour. After shutdown, it can be determined whether to resume operation according to the real-time monitored power grid load. If the load decreases, the operation of the air conditioning device can be resumed in advance, which will not be described in detail.

[0114] The standard device proportion in the embodiment indicates how many of the total air conditioning devices are temporarily shut down. If the temporary shutdown device proportion is greater than the standard device proportion, it indicates that there are enough unnecessary air conditioning devices temporarily shut down to achieve the effect of reducing energy consumption. If it is determined that the temporary shutdown device proportion is less than or equal to the standard device proportion, it indicates that the reduction of unnecessary air conditioning devices temporarily shut down is not enough, and the start-stop control strategy needs to be implemented to achieve the effect of reducing energy consumption, so as to effectively manage the energy consumption of the building area.

[0115] Specifically, the refrigeration control module determines whether to execute the start-stop control strategy according to the temporary shutdown device proportion, which includes,

[0116] comparing the temporary shutdown device proportion with the standard device proportion,

[0117] if the temporary shutdown device proportion is less than or equal to the standard device proportion, executing the start-stop control strategy, and determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation;

[0118] if the temporary shutdown device proportion is greater than the standard device proportion, not executing the start-stop control strategy;

[0119] The start-stop control strategy is to control shutdown or startup at the time points corresponding to the first temperature and the second temperature with a preset advance start-stop time. The adjustment of the start-stop control strategy includes a first adjustment strategy and a second adjustment strategy. The first adjustment strategy is to adjust the preset advance start-stop time to be smaller. The second adjustment strategy is to adjust the preset advance start-stop time to be larger.

[0120] The preset early start-stop time in the embodiment is 5 minutes, the first temperature represents the set indoor minimum temperature, the first temperature is set to 22 degrees Celsius, the second temperature represents the set indoor maximum temperature, the second temperature is set to 26 degrees Celsius, the start-stop control strategy is to start early when the preset early start-stop time before reaching the set maximum temperature, or to stop early when the preset early start-stop time before reaching the set minimum temperature, and the calculation formula of the corresponding temperature when starting or stopping is: the starting time corresponding temperature = the second temperature - [(the refrigeration time - the preset early start-stop time / the refrigeration time) x (the second temperature - the current temperature)], and the stopping time corresponding temperature = the first temperature - [(the heating time - the preset early start-stop time / the heating time) x (the current temperature - the first temperature)]; the refrigeration time is the time required from starting to reaching the set temperature, for example, if the current temperature is 24 degrees Celsius, the refrigeration capacity of the air conditioning system is such that the indoor temperature is reduced to the set maximum temperature within 10 minutes after starting, that is, the refrigeration time is 10 minutes, and the start-stop control strategy is to start early when 5 minutes before reaching the set maximum temperature, so that the air conditioner starts when the indoor temperature reaches 25 degrees Celsius, ensuring that the refrigeration can be performed in time before reaching the set maximum temperature of 26 degrees Celsius, and avoiding that the indoor temperature is too high.

[0121] By controlling at the time points corresponding to the first temperature and the second temperature, the air conditioning system can stop or start early before reaching the set temperature, thereby avoiding that the temperature is too low or too high, and meanwhile, the actual start-stop frequency and the temperature fluctuation are analyzed to determine whether the start-stop control parameters are accurate, and the effectiveness of the execution of the start-stop control strategy is ensured.

[0122] Specifically, the refrigeration control module determines whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation includes that,

[0123] The actual start-stop frequency of any air conditioning equipment within a preset analysis duration is obtained, and the actual start-stop frequency is determined according to the standard start-stop frequency;

[0124] If the actual start-stop frequency is less than the standard start-stop frequency, the temperature fluctuation corresponding to the air conditioning equipment is obtained, and when the temperature fluctuation is abnormal, a first adjustment strategy is executed;

[0125] If the actual start-stop frequency is greater than or equal to the standard start-stop frequency, it is determined that the set parameters are abnormal, and a second adjustment strategy is executed;

[0126] The first adjustment strategy is to reduce the preset early start-stop time to a first corrected lag time, and the second adjustment strategy is to increase the preset early start-stop time to a second corrected lag time; the adjustment step is 1 minute, the first corrected lag time is obtained by subtracting the adjustment step from the preset early start-stop time, and the second corrected lag time is obtained by adding the adjustment step to the preset early start-stop time.

[0127] The preset early start-stop time in the embodiment represents the time of early start or stop, and the standard start-stop frequency represents the threshold of the number of start-stop times of the air conditioning device within the preset analysis duration. Frequent start-stop not only increases energy consumption, but also accelerates the wear and tear of the device, reduces the service life of the air conditioning system, and increases the maintenance and replacement costs. Therefore, the number of start-stop times of the air conditioning device is monitored and analyzed to optimize and adjust the start-stop control strategy, so as to avoid frequent start-stop and unnecessary energy consumption. The standard start-stop frequency is set to 1-3 times / hour, and is optimized and set according to the actual specific air conditioning system, building characteristics and use demand. The preset analysis duration is 1 hour.

[0128] When it is determined that the actual start-stop frequency is greater than or equal to the standard start-stop frequency, it indicates that the air conditioning device is too frequent in start-stop. This is because the preset early start-stop time is set too small, and the air conditioning system is too sensitive to temperature changes, resulting in frequent start and stop. Therefore, the preset early start-stop time is increased to reduce the number of unnecessary start-stop times. If it is determined that the actual start-stop frequency is less than the standard start-stop frequency, it indicates that the start frequency of the air conditioning system is normal, but the indoor temperature change needs to be analyzed to avoid the preset early start-stop time being set too long. Although the start frequency is normal, the system delays start or stop, resulting in that the indoor temperature exceeds the comfortable range.

[0129] Specifically, the refrigeration control module obtains the temperature fluctuation of the air conditioning device, including,

[0130] obtaining the current indoor temperature, and determining the current indoor temperature according to the standard temperature interval,

[0131] if the current indoor temperature is within the standard temperature interval, it is determined that the temperature fluctuation is normal;

[0132] if the current indoor temperature is not within the standard temperature interval, it is determined that the temperature fluctuation is abnormal.

[0133] The standard temperature interval in the embodiment represents the temperature comfortable range. Generally, it is set to between 22 degrees Celsius and 26 degrees Celsius. The preset early start-stop time is dynamically adjusted by monitoring the indoor temperature in real time and according to whether the temperature exceeds the set comfortable range, which effectively optimizes the response speed of the air conditioning system, ensures the comfort of the indoor environment, reduces energy consumption and device wear and tear, and improves the overall efficiency of the air conditioning system.

[0134] Specifically, the refrigeration control module determines the unnecessary air conditioning device according to the historical use frequency of the air conditioning device, including,

[0135] obtaining the historical use frequency of the air conditioning device of any space area, and comparing the historical use frequency with a use frequency threshold,

[0136] If the historical use frequency is less than the use frequency threshold, the corresponding air conditioning device is marked as an unnecessary air conditioning device;

[0137] If the historical use frequency is greater than or equal to the use frequency threshold, the corresponding air conditioning device is not marked.

[0138] The use frequency threshold in the embodiment is used to judge the use of the air conditioning device, which is represented by the number of uses or the number of use hours in a time period. The set use frequency threshold is 10 times / week. For example, if the historical use frequency of air conditioning device A is 8 times / week, air conditioning device A is marked as an unnecessary air conditioning device.

[0139] When the number of uses of the air conditioning device in a week is less than 10 times, the device will be marked as unnecessary, and some unnecessary air conditioning devices will be temporarily turned off during peak hours to reduce energy consumption.

[0140] Specifically, the refrigeration control module calculates the standard energy consumption deviation value, which includes,

[0141] The standard energy consumption deviation value is calculated according to the number of floors, temperature and humidity, wind speed, noise, artificial lighting illuminance, natural lighting illuminance, and carbon dioxide concentration. The calculation formula is,

[0142] E=Eb+k1×F / Fr+k2×T / Tb+k3×H / Hb+k4×W / Wb+k5×N / Nb+k6×La / Lb+k7×Ln / Lb+k8×C / Cb;

[0143] Wherein: Eb is the basic energy consumption; F is the number of floors; Fr is the reference value of the number of floors; T is the temperature (in Celsius); Tb is the standard temperature (in Celsius); H is the humidity (%); Hb is the standard humidity (%); W is the wind speed (m / s); Wb is the standard wind speed (m / s); N is the noise level (dB); Nb is the standard noise level (dB); La is the artificial lighting illuminance (lux); Lb is the standard lighting illuminance (lux); Ln is the natural lighting illuminance (lux); Lb is the standard lighting illuminance (lux); C is the carbon dioxide concentration (ppm); Cb is the standard carbon dioxide concentration (ppm); k1=10; k2=5; k3=2; k4=3; k5=1; k6=0.5; k7=0.2; k8=0.2.

[0144] The basic energy consumption in the embodiment is 1000 kWh, the reference value of the number of floors is 10, the standard temperature is 20 DEG C, the standard humidity is 50%, the standard wind speed is 2 m / s, the standard noise level is 50 dB, the standard illumination is 500 lux, the standard daylight illumination is 300 lux, and the standard carbon dioxide concentration is 400 ppm; for example, when the actually measured number of floors is 5, the temperature is 22 DEG C, the humidity is 50%, the wind speed is 1.5 m / s, the noise level is 40 dB, the illumination is 300 lux, the daylight illumination is 200 lux, and the carbon dioxide concentration is 400 ppm, the calculated standard energy consumption deviation value is 1008.084 kWh.

[0145] The standard energy consumption deviation value is calculated according to the number of floors, temperature and humidity, wind speed, noise, artificial illumination, natural daylight illumination, and carbon dioxide concentration, so as to comprehensively consider various environmental factors, make the calculated standard energy consumption deviation value more accurately reflect the energy consumption expectation of the hotel building under specific conditions, make the comparison between the standard energy consumption deviation value and the actual energy consumption deviation value more accurate, and thus more effectively identify the energy consumption anomaly.

[0146] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will fall within the protection scope of the present application.

[0147] The above description is only the preferred embodiments of the present application and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent energy-saving control system for building refrigeration machine rooms, characterized in that, The building area classification module is configured to classify each space area according to the function of the space area into a first allocation type and a second allocation type; The deviation detection module is configured to obtain a real-time energy consumption deviation value of the building to be monitored according to a preset monitoring period, and compare the standard energy consumption deviation value with the real-time energy consumption deviation value to determine the difference between the actual energy consumption and the expected energy consumption according to the comparison result; The identification module is configured to identify the time period to which the current time period belongs when it is determined that there is a difference between the actual energy consumption and the expected energy consumption, and obtain an identification type result; The refrigeration control module is configured to determine whether to adjust the actual operation mode of the air conditioner based on the identification type result, including when the identification type result is a peak period and the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, starting a temporary shutdown mode, and when the temporary shutdown equipment proportion is less than or equal to the standard equipment proportion, executing a start-stop control strategy, and determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation; when the identification type result is a peak period and the real-time space utilization rate is greater than the standard space utilization rate, adjusting the air conditioner temperature operation mode of the space area corresponding to the first allocation type; wherein determining whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation includes executing a second adjustment strategy when the actual start-stop frequency is greater than or equal to the standard start-stop frequency, and executing a first adjustment strategy when the actual start-stop frequency is less than the standard start-stop frequency and the temperature fluctuation is abnormal; The refrigeration control module is configured to determine whether to adjust the actual operation mode of the air conditioner based on the identification type result, including if a peak period is identified, obtaining the current power grid energy consumption load, and determining whether to start the air conditioner equipment shutdown mode according to the real-time power grid energy consumption load; if a valley period is identified, adjusting the air conditioner temperature operation mode of each space area; if a normal period is identified, obtaining the real-time space utilization rate, determining the real-time space utilization rate, and selecting the adjustment range of the air conditioner equipment in the building to be monitored according to the determination result; wherein adjusting the temperature operation mode of the air conditioner is to increase the temperature setting of the air conditioner by a predetermined temperature; The refrigeration control module determines whether to start the air conditioner equipment shutdown mode according to the real-time power grid energy consumption load, including if the real-time power grid energy consumption load is greater than the standard power grid energy consumption load, starting a temporary shutdown mode, and determining whether to adjust the start-stop control strategy according to the temporary shutdown equipment proportion; if the real-time power grid energy consumption load is less than or equal to the standard power grid energy consumption load, obtaining the real-time space utilization rate, determining the real-time space utilization rate, and selecting the adjustment range of the air conditioner equipment according to the determination result; The refrigeration control module determines the real-time space utilization rate, including comparing the real-time space utilization rate with the standard space utilization rate; determining the adjustment range of the air conditioner equipment according to the comparison result; executing the air conditioner temperature operation mode based on the adjustment range of the air conditioner equipment; wherein executing the air conditioner temperature operation mode is to increase the temperature setting of the air conditioner in each space area by a predetermined temperature. The deviation detection module determines the difference between the actual energy consumption and the expected energy consumption according to the comparison result, including 2. The intelligent energy-saving control system for building refrigeration plant rooms according to claim 1, characterized in that, ​ calculating a real-time energy consumption deviation value according to actual energy consumption and expected energy consumption; calculating a standard energy consumption deviation value; comparing the standard energy consumption deviation value with the real-time energy consumption deviation value, and determining that there is a difference between the actual energy consumption and the expected energy consumption when the real-time energy consumption deviation value is greater than the standard energy consumption deviation value.

3. The intelligent energy-saving control system for building refrigeration plant rooms according to claim 1, characterized in that, The refrigeration control module starts a temporary shutdown mode, and determines whether to adjust the start-stop control strategy according to a temporary shutdown device proportion, which includes calculating unnecessary air conditioning devices according to historical use frequencies of air conditioning devices; shutting down the unnecessary air conditioning devices for a preset temporary duration; calculating a temporary shutdown device proportion according to the number of the unnecessary air conditioning devices; determining whether to execute the start-stop control strategy according to the temporary shutdown device proportion; The temporary shutdown device proportion is a percentage of the number of the unnecessary air conditioning devices to the total number of air conditioning devices in the building to be monitored.

4. The intelligent energy-saving control system for building refrigeration plant rooms according to claim 3, characterized in that, The refrigeration control module determines whether to execute the start-stop control strategy according to the temporary shutdown device proportion, which includes comparing the temporary shutdown device proportion with a standard device proportion, if the temporary shutdown device proportion is less than or equal to the standard device proportion, executing the start-stop control strategy, and determining whether to adjust the start-stop control strategy based on an actual start-stop frequency and a temperature fluctuation condition; if the temporary shutdown device proportion is greater than the standard device proportion, not executing the start-stop control strategy; The start-stop control strategy is to control shutdown or startup at time points corresponding to a first temperature and a second temperature with a preset advance start-stop time. The adjustment of the start-stop control strategy includes a first adjustment strategy and a second adjustment strategy. The first adjustment strategy is to reduce the preset advance start-stop time. The second adjustment strategy is to increase the preset advance start-stop time.

5. The intelligent energy saving control system for building refrigeration plant rooms according to claim 1, characterized in that, The refrigeration control module determines whether to adjust the start-stop control strategy based on the actual start-stop frequency and the temperature fluctuation condition, which includes acquiring an actual start-stop frequency of any air conditioning device within a preset analysis duration, and determining the actual start-stop frequency according to a standard start-stop frequency; if the actual start-stop frequency is less than the standard start-stop frequency, acquiring a temperature fluctuation condition corresponding to the air conditioning device, and executing the first adjustment strategy when the temperature fluctuation is abnormal; if the actual start-stop frequency is greater than or equal to the standard start-stop frequency, determining that a set parameter is abnormal, and executing the second adjustment strategy; The first adjustment strategy is to reduce the preset advance start-stop time. The second adjustment strategy is to increase the preset advance start-stop time.

6. The intelligent energy saving control system for building refrigeration plant rooms according to claim 1, characterized in that, The refrigeration control module determines the unnecessary air conditioning devices according to the historical use frequencies of the air conditioning devices, which includes acquiring the historical use frequencies of the air conditioning devices of any space area, comparing the historical use frequencies with a use frequency threshold, if the historical use frequency is less than the use frequency threshold, marking the corresponding air conditioning device as an unnecessary air conditioning device.

7. The intelligent energy saving control system for building refrigeration plant rooms according to claim 2, characterized in that, The deviation detection module calculates the standard energy consumption deviation value, which includes calculating the standard energy consumption deviation value according to the number of floors, temperature and humidity, wind speed, noise, artificial lighting illuminance, natural lighting illuminance, and carbon dioxide concentration.

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