Energy-saving control method and system for intelligent green building

Abstract

The invention relates to the field of building energy conservation, in particular to an energy-saving control method and system for an intelligent green building, and the method comprises the steps: receiving intelligent monitoring data and intelligent control data, and recording the receiving frequency of the intelligent monitoring data and the intelligent control data; matching device position data for each piece of intelligent monitoring data; according to the intelligent control data and the receiving frequency of the intelligent control data, calculating to obtain a device opening and closing comprehensive evaluation value; matching a device state scheme according to the device opening and closing comprehensive evaluation value, and controlling opening and closing of a corresponding device according to the device state scheme; according to the intelligent monitoring data, the device position data and the receiving frequency of the intelligent monitoring data, calculating to obtain a device state comprehensive evaluation value; and matching a device state correction scheme according to the device state comprehensive evaluation value, and controlling the state correction of the corresponding device according to the device state correction scheme. The equipment can be adaptively adjusted according to the real environment, the equipment state and other conditions, and environment protection and energy saving of the building are achieved.

Description

Technical Field

[0001] The present application relates to the field of building energy conservation, and in particular to an energy conservation control method and system for an intelligent green building. Background Art

[0002] The whole house is called smart home, which refers to the intelligent integration of the internal equipment and systems of the whole house. Through the Internet of Things technology, integrated wiring technology, network communication technology, automatic control technology, etc., various devices and appliances in the home are connected to achieve automatic operation and human-computer interaction, improve the safety, convenience, comfort and artistry of the home, and achieve environmental protection and energy saving.

[0003] However, the current whole-house intelligence can only realize human-computer interaction and improve the convenience, comfort and artistry of the home. For example: automatically adjust the light brightness, color and switch status through mobile phone APP, voice control or sensors; turn on the air conditioner through mobile phone APP; and cannot make adaptive adjustments according to actual conditions to achieve environmental protection and energy saving.

[0004] Therefore, how to achieve environmental protection and energy saving in buildings is a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] The present application provides an energy-saving control method and system for an intelligent green building, so as to make adaptive adjustments according to actual conditions and achieve environmental protection and energy saving of the building.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] A method for controlling energy conservation of an intelligent green building comprises the following steps: step S110, receiving intelligent monitoring data and intelligent control data, and recording the receiving frequency of the intelligent monitoring data and the intelligent control data; step S120, matching device position data for each intelligent monitoring data; step S130, calculating a comprehensive evaluation value of device opening and closing according to the receiving frequency of the intelligent control data and the intelligent control data; step S140, matching a device state scheme according to the comprehensive evaluation value of device opening and closing, and controlling the opening and closing of corresponding devices according to the device state scheme; step S150, calculating a comprehensive evaluation value of device state according to the receiving frequency of the intelligent monitoring data, the device position data and the intelligent monitoring data; step S160, matching a device state correction scheme according to the comprehensive evaluation value of the device state, and controlling the state correction of the corresponding device according to the device state correction scheme.

[0008] In the energy-saving control method for the intelligent green building as described above, preferably, the intelligent monitoring data includes: intelligent lighting monitoring data and intelligent heating and cooling monitoring data; the intelligent control data includes: intelligent lighting control data and intelligent heating and cooling control data.

[0009] In the energy-saving control method for intelligent green buildings as described above, preferably, the receiving frequency of intelligent monitoring data includes: the receiving frequency of intelligent lighting monitoring data and the receiving frequency of intelligent heating and cooling monitoring data; the receiving frequency of intelligent control data includes: the receiving frequency of intelligent lighting control data and the receiving frequency of intelligent heating and cooling control data.

[0010] In the energy-saving control method for intelligent green buildings as described above, preferably, the comprehensive evaluation value of device switching includes: the comprehensive evaluation value of device switching of the intelligent lighting system and the comprehensive evaluation value of device switching of the intelligent cooling and heating system; the comprehensive evaluation value of device switching of the intelligent lighting system is calculated based on the intelligent lighting control data and the receiving frequency of the intelligent lighting control data; the comprehensive evaluation value of device switching of the intelligent cooling and heating system is calculated based on the intelligent cooling and heating control data and the receiving frequency of the intelligent cooling and heating control data.

[0011] In the energy-saving control method for intelligent green buildings as described above, preferably, the comprehensive evaluation value of the device state includes: the comprehensive evaluation value of the device state of the intelligent lighting system and the comprehensive evaluation value of the device state of the intelligent cooling and heating system; the comprehensive evaluation value of the device state of the intelligent lighting system is calculated based on the intelligent lighting monitoring data, the intelligent lighting device position data and the receiving frequency of the intelligent lighting monitoring data; the comprehensive evaluation value of the device state of the intelligent cooling and heating system is calculated based on the intelligent cooling and heating monitoring data, the intelligent cooling and heating device position data and the receiving frequency of the intelligent cooling and heating monitoring data.

[0012] An energy-saving control system for an intelligent green building comprises: a central processing unit, an intelligent lighting system, an intelligent cooling and heating system and an intelligent control system; and the intelligent lighting system, the intelligent cooling and heating system, the intelligent control system and the central processing unit are communicatively connected; the central processing unit receives intelligent monitoring data collected by the intelligent lighting system and the intelligent cooling and heating system and intelligent control data collected by the intelligent control system, and records the receiving frequency of receiving the intelligent monitoring data and the intelligent control data; the central processing unit matches device position data for each intelligent monitoring data; the central processing unit calculates a comprehensive evaluation value of device opening and closing according to the intelligent control data and the receiving frequency of the intelligent control data; the central processing unit matches a device state scheme according to the comprehensive evaluation value of device opening and closing, and controls the opening and closing of corresponding devices according to the device state scheme; the central processing unit calculates a comprehensive evaluation value of device state according to the intelligent monitoring data, the device position data and the receiving frequency of the intelligent monitoring data; the central processing unit matches a device state correction scheme according to the comprehensive evaluation value of the device state, and controls the state correction of corresponding devices according to the device state correction scheme.

[0013] As described above, in the energy-saving control system of the intelligent green building, preferably, the intelligent monitoring data includes: intelligent lighting monitoring data collected by the intelligent lighting system and intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system; the intelligent control data includes: intelligent lighting control data and intelligent cooling and heating control data received by the intelligent control system.

[0014] As described above, in the energy-saving control system of the intelligent green building, preferably, the receiving frequency of the intelligent monitoring data includes: the receiving frequency of the intelligent lighting monitoring data and the receiving frequency of the intelligent heating and cooling monitoring data; the receiving frequency of the intelligent control data includes: the receiving frequency of the intelligent lighting control data and the receiving frequency of the intelligent heating and cooling control data.

[0015] The energy-saving control system of the intelligent green building as described above, wherein preferably, the comprehensive evaluation value of device switching includes: the comprehensive evaluation value of device switching of the intelligent lighting system and the comprehensive evaluation value of device switching of the intelligent cooling and heating system; the central processing unit calculates the comprehensive evaluation value of device switching of the intelligent lighting system according to the intelligent lighting control data and the receiving frequency of the intelligent lighting control data; the central processing unit calculates the comprehensive evaluation value of device switching of the intelligent cooling and heating system according to the intelligent cooling and heating control data and the receiving frequency of the intelligent cooling and heating control data.

[0016] The energy-saving control system of the intelligent green building as described above, wherein preferably, the comprehensive evaluation value of the device state includes: the comprehensive evaluation value of the device state of the intelligent lighting system and the comprehensive evaluation value of the device state of the intelligent cooling and heating system; the central processing unit calculates the comprehensive evaluation value of the device state of the intelligent lighting system according to the intelligent lighting monitoring data, the intelligent lighting device position data and the receiving frequency of the intelligent lighting monitoring data; the central processing unit calculates the comprehensive evaluation value of the device state of the intelligent cooling and heating system according to the intelligent cooling and heating monitoring data, the intelligent cooling and heating device position data and the receiving frequency of the intelligent cooling and heating monitoring data.

[0017] Compared with the above-mentioned background technology, the energy-saving control method and system of the intelligent green building of the present application can adaptively adjust the equipment according to the actual environment, equipment status, etc., to achieve environmental protection and energy saving of the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0019] Figure 1It is a flow chart of the energy-saving control system of the intelligent green building provided by the embodiment of the present application;

[0020] Figure 2 It is a schematic diagram of the energy-saving control method of the intelligent green building provided in the embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. In addition, spatial relationship terms such as "upper", "lower", "front", "back", "left" and "right" are used to facilitate the description to explain the positional relationship between two components. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0022] Embodiment 1

[0023] like Figure 1 As shown, the present application provides an energy-saving control method for an intelligent green building, comprising the following steps:

[0024] Step S110, receiving intelligent monitoring data and intelligent control data, and recording the receiving frequency of the intelligent monitoring data and the intelligent control data;

[0025] like Figure 2 As shown, the central processor 210 receives intelligent monitoring data, wherein the intelligent monitoring data includes: intelligent lighting monitoring data collected by the intelligent lighting system 220 and intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system 230.

[0026] Specifically, the intelligent lighting system 220 collects intelligent lighting monitoring data [A1, A2, ..., A I ], and the intelligent lighting monitoring data [A1, A2, …, A I ] is sent to the central processor 210; wherein A1 is the first type of intelligent lighting monitoring data collected, A2 is the second type of intelligent lighting monitoring data collected, and A I The collected data is the first type of intelligent lighting monitoring data; A i =(a i1 、a i2 , …, a iX ), A i is the i-th type of intelligent lighting monitoring data collected, a i1 is the first intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data, a i2 is the second intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data, a iXIt is the Xth intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data.

[0027] Among them, the intelligent lighting system 220 includes: a photosensitive sensor 221, a main lighting lamp 222 and an auxiliary lighting lamp 223; the photosensitive sensor 221 can collect light intensity data inside the building, the main lighting lamp 222 can collect main lighting data, and the auxiliary lighting lamp 223 can collect auxiliary lighting data. Therefore, the intelligent lighting monitoring data collected by the intelligent lighting system 220 can be the light intensity data, main lighting data and auxiliary lighting data inside the building.

[0028] Specifically, the intelligent cooling and heating system 230 collects intelligent cooling and heating monitoring data [B1, B2, ..., B J ], and the intelligent heating and cooling monitoring data [B1, B2, ..., B J ] is sent to the central processor 210, wherein B1 is the first type of intelligent heating and cooling monitoring data collected, B2 is the second type of intelligent heating and cooling monitoring data collected, and B J B is the collected intelligent heating and cooling monitoring data of type J; j =(b j1 , b j2 , …, b jY 0, B j is the collected intelligent heating and cooling monitoring data of the jth type, b j1 is the first intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data, b j2 is the second intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data, b jY It is the Yth intelligent cooling and heating monitoring data in the jth category of intelligent cooling and heating monitoring data.

[0029] Among them, the intelligent cooling and heating system 230 includes: a temperature sensor 231, an air-conditioning device 232, a heating device 233, a curtain shielding drive device 234, a light sensor 235 and a window opening device 236; the temperature sensor 231 can collect temperature data inside the building, the air-conditioning device 232 can collect air-conditioning operation data, the heating device 233 can collect heating operation data, the curtain shielding drive device 234 can collect curtain shielding data, the light sensor 235 can collect light data outside the building, and the window opening and closing device 236 can collect window opening and closing data. Therefore, the intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system 230 can be the temperature data inside the building, the air-conditioning operation data, the heating operation data, the curtain shielding data, the light number outside the building and the window opening and closing data.

[0030] The central processor 210 receives intelligent control data, wherein the intelligent control data includes: intelligent lighting control data and intelligent heating and cooling control data received by the intelligent control system 240 .

[0031] Specifically, the intelligent control system 240 receives the intelligent lighting control data [C1, C2, ..., C M ] and intelligent heating and cooling control data [D1, D2, ..., D N ], and intelligent lighting control data [C1, C2, ..., C M ] and intelligent heating and cooling control data [D1, D2, ..., D N ] is sent to the central processor 210; wherein C1 is the first intelligent lighting control data received, C2 is the second intelligent lighting control data received, and C M is the Mth intelligent lighting control data received; D1 is the first intelligent heating and cooling control data received, D2 is the second intelligent heating and cooling control data, and D N This is the Nth intelligent heating and cooling control data received.

[0032] Among them, the intelligent control system 240 includes: a switch 241, a human body sensing controller 242 and a voice controller 243; the switch 241 can receive switch control data, the human body sensing controller 242 can receive human body sensing control data, and the voice controller 243 can receive voice control data. Therefore, the intelligent lighting control data and intelligent heating and cooling control data received by the intelligent control system 240 can both be switch control data, human body sensing control data and voice control data.

[0033] The central processor 210 records the receiving frequency of the intelligent monitoring data and the receiving frequency of the intelligent control data when receiving the intelligent monitoring data and the intelligent control data. Specifically, the receiving frequency f of the intelligent lighting monitoring data is recorded. zj , record the receiving frequency f of receiving intelligent heating and cooling monitoring data lnj , record the receiving frequency f of receiving intelligent lighting control data zk , and record the receiving frequency f of receiving intelligent heating and cooling control data lnz .

[0034] Step S120, matching device location data for each intelligent monitoring data;

[0035] The central processor 210 matches the smart lighting device location data with the smart lighting monitoring data according to the location information of the smart lighting system 220 .

[0036] Since the intelligent lighting monitoring data in the intelligent lighting system 220 is collected by different devices in the intelligent lighting system 220, such as different photosensitive sensors 221, main lighting lamps 222 and auxiliary lighting lamps 223, and each device is located at a different location, the central processor 210 will match the intelligent lighting monitoring data generated by each device in the intelligent lighting system 220 with the intelligent lighting device location data (β i1 , β i2 , …, β iX ), where β i1 is the intelligent lighting device location data corresponding to the first intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data, β i2 is the location information of the intelligent lighting device corresponding to the second intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data, β iX It is the intelligent lighting device location information corresponding to the X-th intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data.

[0037] The central processor 210 matches the intelligent cooling and heating device location data with the intelligent cooling and heating monitoring data according to the location information of the intelligent cooling and heating system 230 .

[0038] Similarly, since the intelligent cooling and heating monitoring data in the intelligent cooling and heating system 230 is collected by different devices in the intelligent cooling and heating system 220, such as different temperature sensors 231, air conditioning equipment 232, heating equipment 233, curtain shading driving equipment 234, light sensor 235 and window opening equipment 236, and each device is located at a different location, the central processor 210 will match the intelligent cooling and heating monitoring data generated by each device in the intelligent cooling and heating system 230 with the intelligent cooling and heating device location data (ε j1 , ε j2 , …, ε jY ), where ε j1 is the intelligent cooling and heating device location data corresponding to the first intelligent cooling and heating monitoring data in the jth type of intelligent cooling and heating monitoring data, ε j2 is the location information of the intelligent cooling and heating device corresponding to the second intelligent cooling and heating monitoring data in the jth type of intelligent cooling and heating monitoring data, ε jY It is the location information of the intelligent cooling and heating device corresponding to the Yth intelligent lighting monitoring data in the jth type of intelligent cooling and heating monitoring data.

[0039] Step S130, calculating and obtaining a comprehensive evaluation value of the device opening and closing according to the intelligent control data and the receiving frequency of the intelligent control data;

[0040] The CPU 210 controls the lighting according to the intelligent lighting control data [C1, C2, ..., C M ] and intelligent lighting control data [C1, C2, …, C M ] receiving frequency f zk , calculate the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220; the central processor 210 calculates the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220 according to the intelligent heating and cooling control data [D1, D2, ..., D N ] and intelligent heating and cooling control data [D1, D2, ..., D N ] receiving frequency f lnz , the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system 230 is calculated.

[0041] Specifically, the CPU 210 uses the following formula:

[0042]

[0043] Calculate the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220 Among them, Q zk is the weight value of the receiving frequency of intelligent lighting control data; e is a natural constant; μ1 is a constant with a value of 1.523; C m is the mth intelligent lighting control data received; W m is the weight value of the mth intelligent lighting control data received; τ1 is a constant, taking the value as 0.243.

[0044] Specifically, the CPU 210 uses the following formula:

[0045]

[0046] Calculate the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system 230 Among them, Q lnz is the weight value of the receiving frequency of the intelligent heating and cooling control data; e is a natural constant; μ2 is a constant with a value of 0.584; D n is the nth intelligent heating and cooling control data received; R n is the weight value of the nth intelligent heating and cooling control data received; τ1 is a constant, taking the value as 0.028.

[0047] Step S140, matching a device state scheme according to the device opening and closing comprehensive evaluation value, and controlling the opening and closing of the corresponding device according to the device state scheme;

[0048] A plurality of lighting device status schemes and cooling and heating device status schemes are pre-stored in the central processing unit 210; in each lighting device status scheme, the operating parameters of each device in the intelligent lighting system 220 are specified, such as: the acquisition frequency of the photosensitive sensor 221, the lighting intensity of the main lighting lamp 222, etc.; in each cooling and heating device status scheme, the operating parameters of each device in the intelligent cooling and heating system 230 are specified, such as: the acquisition frequency of the temperature sensor 231, the wind speed of the air-conditioning equipment 232, etc.

[0049] In addition, the central processor 210 also presets a device on / off reference evaluation value for each lighting device state scheme, and calculates the device on / off comprehensive evaluation value P of the intelligent lighting system 220. K Z B M Z The device on / off reference evaluation value of each lighting device state solution in the central processor 210 is compared to select the device on / off reference evaluation value and the device on / off comprehensive evaluation value of the intelligent lighting system 220. The closest lighting device state solution is used as the lighting device state solution to be executed.

[0050] After selecting the lighting device state scheme, the central processor 210 sends corresponding on / off control instructions to each device in the intelligent lighting system 220 according to the lighting device state scheme, and controls each component of the intelligent lighting system 120 to start / stop work.

[0051] The central processor 210 also presets a reference evaluation value for the opening and closing of each cooling and heating device state scheme, and calculates the comprehensive evaluation value of the opening and closing of the device of the intelligent cooling and heating system 230. The device opening and closing reference evaluation value of each cooling and heating device state scheme in the central processor 210 is compared to select the device opening and closing reference evaluation value and the device opening and closing comprehensive evaluation value of the intelligent cooling and heating system 230 The closest cooling and heating device state solution is used as the cooling and heating device state solution to be executed.

[0052] After selecting the cooling and heating device status scheme, the central processor 210 sends corresponding opening and closing control instructions to each device in the intelligent cooling and heating system 230 according to the cooling and heating device status scheme to control each component of the intelligent cooling and heating system 230 to start / stop work.

[0053] Step S150, calculating a comprehensive evaluation value of the device state according to the intelligent monitoring data, the device location data and the receiving frequency of the intelligent monitoring data;

[0054] The CPU 210 generates a signal based on the intelligent lighting monitoring data [A1, A2, ..., AI ]、Smart lighting device location data (β i1 , β i2 , …, β iX ) and the receiving frequency f of intelligent lighting monitoring data zj , calculate the comprehensive evaluation value of the device status of the intelligent lighting system 220; the central processor 210 calculates the comprehensive evaluation value of the device status of the intelligent lighting system 220 according to the intelligent heating and cooling monitoring data [B1, B2, ..., B J ]、Intelligent cooling and heating device location data (ε j1 , ε j2 , …, ε jY ) and the receiving frequency f of intelligent heating and cooling monitoring data lnj , and calculate the comprehensive evaluation value of the device status of the intelligent cooling and heating system 230.

[0055] Specifically, the CPU 210 uses the following formula:

[0056]

[0057] Calculate the comprehensive evaluation value of the device status of the intelligent lighting system 220 Among them, a ix is the xth intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; ω ix is the weight value of the xth intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; β ix is the location information corresponding to the x-th intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; ix is the weight value of the location information corresponding to the x-th intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; γ i is the weight value of the i-th type of intelligent lighting monitoring data; H is the adjustment multiple, which is a positive integer greater than 3.

[0058] Specifically, the CPU 210 uses the following formula:

[0059]

[0060] Calculate the comprehensive evaluation value of the device status of the intelligent cooling and heating system 230 Among them, b jy is the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; is the weight value of the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; ε jy is the location information corresponding to the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; θ jy is the weight value of the location information corresponding to the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; jis the weight value of the j-th type of intelligent heating and cooling monitoring data; H is the adjustment multiple, which is a positive integer greater than 3.

[0061] Step S160, matching a device state correction scheme according to the device state comprehensive evaluation value, and controlling the state correction of the corresponding device according to the device state correction scheme;

[0062] Multiple lighting device state correction schemes and cooling and heating device state correction schemes are pre-stored in the central processing unit 210; in each lighting device state correction scheme, the corrected working parameters of each device in the intelligent lighting system 220 are specified, such as: the corrected collection frequency of the photosensitive sensor 221, the corrected lighting intensity of the main lighting lamp 222, etc.; in each cooling and heating device state correction scheme, the corrected working parameters of each device in the intelligent cooling and heating system 230 are specified, such as: the corrected collection frequency of the temperature sensor 231, the corrected wind speed of the air-conditioning equipment 232, etc.

[0063] In addition, the central processor 210 also presets a device state reference evaluation value for each lighting device state correction scheme, and calculates the device state comprehensive evaluation value of the intelligent lighting system 220. The device status reference evaluation value of each lighting device status correction solution in the central processor 210 is compared, and the device status reference evaluation value and the device status comprehensive evaluation value of the intelligent lighting system 220 are selected. The closest lighting device state correction solution is used as the lighting device state correction solution to be executed.

[0064] After selecting the lighting device state correction scheme, the central processor 210 sends corresponding correction control instructions to each device in the intelligent lighting system 220 according to the lighting device state correction scheme to control the state correction of each component of the intelligent lighting system 120.

[0065] The central processor 210 also presets a reference evaluation value of the device state for each cooling and heating device state correction scheme, and calculates the device state comprehensive evaluation value of the intelligent cooling and heating system 230. The device status reference evaluation value of each cooling and heating device status correction scheme in the central processor 210 is compared to select the device status reference evaluation value and the device status comprehensive evaluation value of the intelligent cooling and heating system 230 The closest cooling and heating device state correction plan is used as the cooling and heating device state correction plan to be executed.

[0066] After selecting the cooling and heating device state correction scheme, the central processor 210 sends corresponding correction control instructions to each device in the intelligent cooling and heating system 230 according to the cooling and heating device state correction scheme to control the state correction of each component of the intelligent cooling and heating system 230.

[0067] Embodiment 2

[0068] like Figure 2 As shown, the present application provides an energy-saving control system 200 for an intelligent green building, including: a central processing unit 210, an intelligent lighting system 220, an intelligent cooling and heating system 230 and an intelligent control system 240; and the intelligent lighting system 220, the intelligent cooling and heating system 230, the intelligent control system 240 and the central processing unit 210 are communicatively connected.

[0069] The central processor 210 receives the intelligent monitoring data collected by the intelligent lighting system 220 and the intelligent cooling and heating system 230 and the intelligent control data collected by the intelligent control system 240, and records the receiving frequency of the intelligent monitoring data and the intelligent control data.

[0070] The central processor 210 receives intelligent monitoring data, wherein the intelligent monitoring data includes: intelligent lighting monitoring data collected by the intelligent lighting system 220 and intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system 230 .

[0071] Specifically, the intelligent lighting system 220 collects intelligent lighting monitoring data [A1, A2, ..., A I ], and the intelligent lighting monitoring data [A1, A2, …, A I ] is sent to the central processor 210; wherein A1 is the first type of intelligent lighting monitoring data collected, A2 is the second type of intelligent lighting monitoring data collected, and A I The collected data is the first type of intelligent lighting monitoring data; A i =(a i1 、a i2 , …, a iX ), A i is the i-th type of intelligent lighting monitoring data collected, a i1 is the first intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data, a i2 is the second intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data, a iX It is the Xth intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data.

[0072] Among them, the intelligent lighting system 220 includes: a photosensitive sensor 221, a main lighting lamp 222 and an auxiliary lighting lamp 223; the photosensitive sensor 221 can collect light intensity data inside the building, the main lighting lamp 222 can collect main lighting data, and the auxiliary lighting lamp 223 can collect auxiliary lighting data. Therefore, the intelligent lighting monitoring data collected by the intelligent lighting system 220 can be the light intensity data, main lighting data and auxiliary lighting data inside the building.

[0073] Specifically, the intelligent cooling and heating system 230 collects intelligent cooling and heating monitoring data [B1, B2, ..., B J ], and the intelligent heating and cooling monitoring data [B1, B2, ..., B J ] is sent to the central processor 210, wherein B1 is the first type of intelligent heating and cooling monitoring data collected, B2 is the second type of intelligent heating and cooling monitoring data collected, and B J B is the collected intelligent heating and cooling monitoring data of type J; j =(b j1 、b j2 , …, b jY ), B j is the collected intelligent heating and cooling monitoring data of the jth type, b j1 is the first intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data, b j2 is the second intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data, b jY It is the Yth intelligent cooling and heating monitoring data in the jth category of intelligent cooling and heating monitoring data.

[0074] Among them, the intelligent cooling and heating system 230 includes: a temperature sensor 231, an air-conditioning device 232, a heating device 233, a curtain shielding drive device 234, a light sensor 235 and a window opening device 236; the temperature sensor 231 can collect temperature data inside the building, the air-conditioning device 232 can collect air-conditioning operation data, the heating device 233 can collect heating operation data, the curtain shielding drive device 234 can collect curtain shielding data, the light sensor 235 can collect light data outside the building, and the window opening and closing device 236 can collect window opening and closing data. Therefore, the intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system 230 can be the temperature data inside the building, the air-conditioning operation data, the heating operation data, the curtain shielding data, the light number outside the building and the window opening and closing data.

[0075] The central processor 210 receives intelligent control data, wherein the intelligent control data includes: intelligent lighting control data and intelligent heating and cooling control data received by the intelligent control system 240 .

[0076] Specifically, the intelligent control system 240 receives the intelligent lighting control data [C1, C2, ..., C M ] and intelligent heating and cooling control data [D1, D2, ..., D N ], and intelligent lighting control data [C1, C2, ..., C M ] and intelligent heating and cooling control data [D1, D2, ..., D N ] is sent to the central processor 210; wherein C1 is the first intelligent lighting control data received, C2 is the second intelligent lighting control data received, and CM is the Mth intelligent lighting control data received; D1 is the first intelligent heating and cooling control data received, D2 is the second intelligent heating and cooling control data, and D N This is the Nth intelligent heating and cooling control data received.

[0077] Among them, the intelligent control system 240 includes: a switch 241, a human body sensing controller 242 and a voice controller 243; the switch 241 can receive switch control data, the human body sensing controller 242 can receive human body sensing control data, and the voice controller 243 can receive voice control data. Therefore, the intelligent lighting control data and intelligent heating and cooling control data received by the intelligent control system 240 can both be switch control data, human body sensing control data and voice control data.

[0078] The central processor 210 records the receiving frequency of the intelligent monitoring data and the receiving frequency of the intelligent control data when receiving the intelligent monitoring data and the intelligent control data. Specifically, the receiving frequency f of the intelligent lighting monitoring data is recorded. zj , record the receiving frequency f of receiving intelligent heating and cooling monitoring data lnj , record the receiving frequency f of receiving intelligent lighting control data zk , and record the receiving frequency f of receiving intelligent heating and cooling control data lnz .

[0079] The central processor 210 matches each intelligent monitoring data with device location data.

[0080] The central processor 210 matches the smart lighting device location data with the smart lighting monitoring data according to the location information of the smart lighting system 220 .

[0081] Since the intelligent lighting monitoring data in the intelligent lighting system 220 is collected by different devices in the intelligent lighting system 220, such as different photosensitive sensors 221, main lighting lamps 222 and auxiliary lighting lamps 223, and each device is located at a different location, the central processor 210 will match the intelligent lighting monitoring data generated by each device in the intelligent lighting system 220 with the intelligent lighting device location data (β i1 , β i2 , …, β iX ), where β i1 is the intelligent lighting device location data corresponding to the first intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data, β i2 is the location information of the intelligent lighting device corresponding to the second intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data, β iXIt is the intelligent lighting device location information corresponding to the X-th intelligent lighting monitoring data in the i-th category of intelligent lighting monitoring data.

[0082] The central processor 210 matches the intelligent cooling and heating device location data with the intelligent cooling and heating monitoring data according to the location information of the intelligent cooling and heating system 230 .

[0083] Similarly, since the intelligent cooling and heating monitoring data in the intelligent cooling and heating system 230 is collected by different devices in the intelligent cooling and heating system 220, such as different temperature sensors 231, air conditioning equipment 232, heating equipment 233, curtain shading driving equipment 234, light sensor 235 and window opening equipment 236, and each device is located at a different location, the central processor 210 will match the intelligent cooling and heating monitoring data generated by each device in the intelligent cooling and heating system 230 with the intelligent cooling and heating device location data (ε j1 , ε j2 , …, ε jY ), where ε j1 is the intelligent cooling and heating device location data corresponding to the first intelligent cooling and heating monitoring data in the jth type of intelligent cooling and heating monitoring data, ε j2 is the location information of the intelligent cooling and heating device corresponding to the second intelligent cooling and heating monitoring data in the jth type of intelligent cooling and heating monitoring data, ε jY It is the location information of the intelligent cooling and heating device corresponding to the Yth intelligent lighting monitoring data in the jth type of intelligent cooling and heating monitoring data.

[0084] The central processing unit 210 calculates the comprehensive evaluation value of the device opening and closing according to the intelligent control data and the receiving frequency of the intelligent control data.

[0085] The CPU 210 controls the lighting according to the intelligent lighting control data [C1, C2, ..., C M ] and intelligent lighting control data [C1, C2, …, C M ] receiving frequency f zk , calculate the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220; the central processor 210 calculates the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220 according to the intelligent heating and cooling control data [D1, D2, ..., D N ] and intelligent heating and cooling control data [D1, D2, ..., D N ] receiving frequency f lnz , the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system 230 is calculated.

[0086] Specifically, the CPU 210 uses the following formula:

[0087]

[0088] Calculate the comprehensive evaluation value of the device opening and closing of the intelligent lighting system 220 Among them, Q zk is the weight value of the receiving frequency of intelligent lighting control data; e is a natural constant; μ1 is a constant with a value of 1.523; C m is the mth intelligent lighting control data received; W m is the weight value of the mth intelligent lighting control data received; τ1 is a constant, taking the value as 0.243.

[0089] Specifically, the CPU 210 uses the following formula:

[0090]

[0091] Calculate the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system 230 Among them, Q lnz is the weight value of the receiving frequency of the intelligent heating and cooling control data; e is a natural constant; μ2 is a constant with a value of 0.584; D n is the nth intelligent heating and cooling control data received; R n is the weight value of the nth intelligent heating and cooling control data received; τ1 is a constant, taking the value as 0.028.

[0092] The central processor 210 matches the device state scheme according to the device opening and closing comprehensive evaluation value, and controls the opening and closing of the corresponding device according to the device state scheme.

[0093] A plurality of lighting device status schemes and cooling and heating device status schemes are pre-stored in the central processing unit 210; in each lighting device status scheme, the operating parameters of each device in the intelligent lighting system 220 are specified, such as: the acquisition frequency of the photosensitive sensor 221, the lighting intensity of the main lighting lamp 222, etc.; in each cooling and heating device status scheme, the operating parameters of each device in the intelligent cooling and heating system 230 are specified, such as: the acquisition frequency of the temperature sensor 231, the wind speed of the air-conditioning equipment 232, etc.

[0094] In addition, the central processor 210 also presets a device on / off reference evaluation value for each lighting device state scheme, and calculates the device on / off comprehensive evaluation value of the intelligent lighting system 220. The device on / off reference evaluation value of each lighting device state solution in the central processor 210 is compared to select the device on / off reference evaluation value and the device on / off comprehensive evaluation value of the intelligent lighting system 220. The closest lighting device state solution is used as the lighting device state solution to be executed.

[0095] After selecting the lighting device state scheme, the central processor 210 sends corresponding on / off control instructions to each device in the intelligent lighting system 220 according to the lighting device state scheme, and controls each component of the intelligent lighting system 120 to start / stop work.

[0096] The central processor 210 also presets a reference evaluation value for the opening and closing of each cooling and heating device state scheme, and calculates the comprehensive evaluation value of the opening and closing of the device of the intelligent cooling and heating system 230. The device opening and closing reference evaluation value of each cooling and heating device state scheme in the central processor 210 is compared to select the device opening and closing reference evaluation value and the device opening and closing comprehensive evaluation value of the intelligent cooling and heating system 230 The closest cooling and heating device state solution is used as the cooling and heating device state solution to be executed.

[0097] After selecting the cooling and heating device status scheme, the central processor 210 sends corresponding opening and closing control instructions to each device in the intelligent cooling and heating system 230 according to the cooling and heating device status scheme to control each component of the intelligent cooling and heating system 230 to start / stop work.

[0098] The central processor 210 calculates and obtains a comprehensive evaluation value of the device state according to the intelligent monitoring data, the device location data and the receiving frequency of the intelligent monitoring data.

[0099] The CPU 210 generates a signal based on the intelligent lighting monitoring data [A1, A2, ..., A I ]、Smart lighting device location data (β i1 , β i2 , …, β iX ) and the receiving frequency f of intelligent lighting monitoring data zj , calculate the comprehensive evaluation value of the device status of the intelligent lighting system 220; the central processor 210 calculates the comprehensive evaluation value of the device status of the intelligent lighting system 220 according to the intelligent heating and cooling monitoring data [B1, B2, ..., B J ]、Intelligent cooling and heating device location data (ε j1 , ε j2 , …, ε jY ) and the receiving frequency f of intelligent heating and cooling monitoring data lnj , and calculate the comprehensive evaluation value of the device status of the intelligent cooling and heating system 230.

[0100] Specifically, the CPU 210 uses the following formula:

[0101]

[0102] Calculate the comprehensive evaluation value of the device status of the intelligent lighting system 220 Among them, a ixis the xth intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; ω ix is the weight value of the xth intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; β ix is the location information corresponding to the x-th intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; ix is the weight value of the location information corresponding to the x-th intelligent lighting monitoring data in the i-th type of intelligent lighting monitoring data; γ i is the weight value of the i-th type of intelligent lighting monitoring data; H is the adjustment multiple, which is a positive integer greater than 3.

[0103] Specifically, the CPU 210 uses the following formula:

[0104]

[0105] Calculate the comprehensive evaluation value of the device status of the intelligent cooling and heating system 230 Among them, b jy is the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; is the weight value of the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; ε jy is the location information corresponding to the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; θ jy is the weight value of the location information corresponding to the yth intelligent heating and cooling monitoring data in the jth type of intelligent heating and cooling monitoring data; j is the weight value of the j-th type of intelligent heating and cooling monitoring data; H is the adjustment multiple, which is a positive integer greater than 3.

[0106] The central processor 210 matches the device state correction scheme according to the device state comprehensive evaluation value, and controls the state correction of the corresponding device according to the device state correction scheme.

[0107] Multiple lighting device state correction schemes and cooling and heating device state correction schemes are pre-stored in the central processing unit 210; in each lighting device state correction scheme, the corrected working parameters of each device in the intelligent lighting system 220 are specified, such as: the corrected collection frequency of the photosensitive sensor 221, the corrected lighting intensity of the main lighting lamp 222, etc.; in each cooling and heating device state correction scheme, the corrected working parameters of each device in the intelligent cooling and heating system 230 are specified, such as: the corrected collection frequency of the temperature sensor 231, the corrected wind speed of the air-conditioning equipment 232, etc.

[0108] In addition, the central processor 210 also presets a device state reference evaluation value for each lighting device state correction scheme, and calculates the device state comprehensive evaluation value of the intelligent lighting system 220. The device status reference evaluation value of each lighting device status correction solution in the central processor 210 is compared, and the device status reference evaluation value and the device status comprehensive evaluation value of the intelligent lighting system 220 are selected. The closest lighting device state correction solution is used as the lighting device state correction solution to be executed.

[0109] After selecting the lighting device state correction scheme, the central processor 210 sends corresponding correction control instructions to each device in the intelligent lighting system 220 according to the lighting device state correction scheme to control the state correction of each component of the intelligent lighting system 120.

[0110] The central processor 210 also presets a device state reference evaluation value for each cooling and heating device state correction scheme, and calculates the device state comprehensive evaluation value of the intelligent cooling and heating system 230. The device status reference evaluation value of each cooling and heating device status correction scheme in the central processor 210 is compared to select the device status reference evaluation value and the device status comprehensive evaluation value of the intelligent cooling and heating system 230 The closest cooling and heating device state correction plan is used as the cooling and heating device state correction plan to be executed.

[0111] After selecting the cooling and heating device state correction scheme, the central processor 210 sends corresponding correction control instructions to each device in the intelligent cooling and heating system 230 according to the cooling and heating device state correction scheme to control the state correction of each component of the intelligent cooling and heating system 230.

[0112] The energy-saving control method and system of the intelligent green building in the present application can adaptively adjust the equipment according to the actual environment, equipment status, etc., to achieve environmental protection and energy saving of the building.

[0113] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0114] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. An energy-saving control method for an intelligent green building, characterized in that: The steps include: Step S110, receiving intelligent monitoring data and intelligent control data, and recording the receiving frequency of the intelligent monitoring data and the intelligent control data; Step S120, matching device location data for each intelligent monitoring data; Step S130, calculating and obtaining a comprehensive evaluation value of the device opening and closing according to the intelligent control data and the receiving frequency of the intelligent control data; Step S140, matching a device state scheme according to the device opening and closing comprehensive evaluation value, and controlling the opening and closing of the corresponding device according to the device state scheme; Step S150, calculating a comprehensive evaluation value of the device state according to the intelligent monitoring data, the device location data and the receiving frequency of the intelligent monitoring data; Step S160: matching a device state correction scheme according to the device state comprehensive evaluation value, and controlling the state correction of the corresponding device according to the device state correction scheme.

2. The energy-saving control method of an intelligent green building according to claim 1 is characterized in that: Intelligent monitoring data, including: intelligent lighting monitoring data and intelligent heating and cooling monitoring data; intelligent control data, including: intelligent lighting control data and intelligent heating and cooling control data.

3. The energy-saving control method of the intelligent green building according to claim 2 is characterized in that: The receiving frequency of intelligent monitoring data includes: the receiving frequency of intelligent lighting monitoring data and the receiving frequency of intelligent heating and cooling monitoring data; the receiving frequency of intelligent control data includes: the receiving frequency of intelligent lighting control data and the receiving frequency of intelligent heating and cooling control data.

4. The energy-saving control method of the intelligent green building according to claim 3 is characterized in that: The comprehensive evaluation value of device opening and closing, including: the comprehensive evaluation value of device opening and closing of the intelligent lighting system and the comprehensive evaluation value of device opening and closing of the intelligent cooling and heating system; According to the intelligent lighting control data and the receiving frequency of the intelligent lighting control data, the comprehensive evaluation value of the opening and closing of the components of the intelligent lighting system is calculated; According to the intelligent cooling and heating control data and the receiving frequency of the intelligent cooling and heating control data, the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system is calculated.

5. The energy-saving control method of the intelligent green building according to claim 3 is characterized in that: The comprehensive evaluation value of the device status includes: the comprehensive evaluation value of the device status of the intelligent lighting system and the comprehensive evaluation value of the device status of the intelligent cooling and heating system; According to the intelligent lighting monitoring data, the intelligent lighting device location data and the receiving frequency of the intelligent lighting monitoring data, a comprehensive evaluation value of the device status of the intelligent lighting system is calculated; According to the intelligent cooling and heating monitoring data, the intelligent cooling and heating device location data and the receiving frequency of the intelligent cooling and heating monitoring data, the comprehensive evaluation value of the device status of the intelligent cooling and heating system is calculated.

6. An energy-saving control system for an intelligent green building, characterized in that: include: A central processing unit, an intelligent lighting system, an intelligent cooling and heating system, and an intelligent control system; and the intelligent lighting system, the intelligent cooling and heating system, the intelligent control system, and the central processing unit are communicatively connected; The central processor receives the intelligent monitoring data collected by the intelligent lighting system and the intelligent cooling and heating system and the intelligent control data collected by the intelligent control system, and records the receiving frequency of the intelligent monitoring data and the intelligent control data; The central processor matches the device location data for each intelligent monitoring data; The central processing unit calculates the comprehensive evaluation value of the device opening and closing according to the intelligent control data and the receiving frequency of the intelligent control data; The central processing unit matches the device state scheme according to the comprehensive evaluation value of device opening and closing, and controls the opening and closing of the corresponding device according to the device state scheme; The central processor calculates the comprehensive evaluation value of the device status according to the intelligent monitoring data, the device location data and the receiving frequency of the intelligent monitoring data; The central processing unit matches the device state correction scheme according to the device state comprehensive evaluation value, and controls the state correction of the corresponding device according to the device state correction scheme.

7. The energy-saving control system of the intelligent green building according to claim 6 is characterized in that: Intelligent monitoring data, including: intelligent lighting monitoring data collected by the intelligent lighting system and intelligent cooling and heating monitoring data collected by the intelligent cooling and heating system; intelligent control data, including: intelligent lighting control data and intelligent cooling and heating control data received by the intelligent control system.

8. The energy-saving control system for an intelligent green building according to claim 7, characterized in that: The receiving frequency of intelligent monitoring data includes: the receiving frequency of intelligent lighting monitoring data and the receiving frequency of intelligent heating and cooling monitoring data; the receiving frequency of intelligent control data includes: the receiving frequency of intelligent lighting control data and the receiving frequency of intelligent heating and cooling control data.

9. The energy-saving control system of the intelligent green building according to claim 8, characterized in that: The comprehensive evaluation value of device opening and closing, including: the comprehensive evaluation value of device opening and closing of the intelligent lighting system and the comprehensive evaluation value of device opening and closing of the intelligent cooling and heating system; The central processor calculates the comprehensive evaluation value of the opening and closing of the components of the intelligent lighting system according to the intelligent lighting control data and the receiving frequency of the intelligent lighting control data; The central processing unit calculates the comprehensive evaluation value of the opening and closing of the components of the intelligent cooling and heating system according to the intelligent cooling and heating control data and the receiving frequency of the intelligent cooling and heating control data.

10. The energy-saving control system of the intelligent green building according to claim 8, characterized in that: The comprehensive evaluation value of the device status includes: the comprehensive evaluation value of the device status of the intelligent lighting system and the comprehensive evaluation value of the device status of the intelligent cooling and heating system; The central processor calculates the comprehensive evaluation value of the device status of the intelligent lighting system according to the intelligent lighting monitoring data, the intelligent lighting device location data and the receiving frequency of the intelligent lighting monitoring data; The central processing unit calculates a comprehensive evaluation value of the device status of the intelligent cooling and heating system according to the intelligent cooling and heating monitoring data, the intelligent cooling and heating device location data and the receiving frequency of the intelligent cooling and heating monitoring data.

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