Intelligent energy-saving switch system and control method thereof

Abstract

The invention relates to the technical field of intelligent energy-saving switches, in particular to an intelligent energy-saving switch system and a control method thereof. Comprising the following steps: generating a plurality of equipment sub-regions according to all to-be-controlled equipment parameters, and establishing an equipment monitoring map; establishing an environment monitoring model, setting a plurality of monitoring indexes according to the environment monitoring model, establishing a plurality of environment scenes, and setting a weight model in each environment scene; acquiring real-time parameters of all the monitoring indexes, and generating a control strategy of each equipment sub-region according to the real-time parameters; by establishing various environment scenes, adjusting the weight ratio of various types of monitoring data and improving the accuracy of data fusion, dynamic adjustment of energy-saving strategies of different scenes is realized, multiple time intervals are established at the same time, the energy-saving strategies are further optimized, intelligent management of electric equipment is realized, the energy-saving efficiency is improved, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent energy-saving switches, and in particular to an intelligent energy-saving switch system and a control method thereof. Background Art

[0002] Most of the energy-saving switches on the market currently use a single control method, such as light control, voice control or timing control, with relatively simple functions, which are difficult to meet the complex and changing energy-saving needs. Although some high-end energy-saving switches integrate multiple control methods, they have problems such as high cost and complex operation, making them difficult to popularize and apply. Summary of the invention

[0003] The purpose of this application is: to solve the above-mentioned technical problems, this application provides an intelligent energy-saving switch system and its control method, aiming to realize intelligent management of electrical equipment, improve energy-saving efficiency, and reduce operation and maintenance costs.

[0004] In some embodiments of the present application, multiple sensors such as photosensitive sensors, sound sensors, and human infrared sensors are added to collect multiple data sources, and the control strategy of the corresponding device to be controlled is adjusted according to the fusion processing results of the multi-source data to improve energy saving efficiency.

[0005] In some embodiments of the present application, by establishing multiple environmental scenarios and adjusting the weight ratio of each category of monitoring data, the accuracy of data fusion is improved, thereby achieving dynamic adjustment of energy-saving strategies for different scenarios. At the same time, multiple time intervals are established to further optimize the energy-saving strategies, realize intelligent management of electrical equipment, improve energy-saving efficiency, and reduce operation and maintenance costs.

[0006] In some embodiments of the present application, a control method for an intelligent energy-saving switch system is provided, including:

[0007] Generate multiple equipment sub-areas based on all equipment parameters to be controlled, and establish equipment monitoring maps;

[0008] Establish an environmental monitoring model, set multiple monitoring indicators based on the environmental monitoring model, establish multiple environmental scenarios, and set the weight model within each environmental scenario;

[0009] Obtain the real-time parameters of all monitoring indicators and generate control strategies for each equipment sub-area based on the real-time parameters;

[0010] The establishment of multiple environmental scenes includes:

[0011] Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

[0012] In some embodiments of the present application, when generating a control strategy for each device sub-area according to real-time parameters, it includes:

[0013] Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas;

[0014] According to the device sub-area sequence B, set bi as the target device sub-area in sequence;

[0015] Obtain real-time parameters of all monitoring indicators in the target device sub-area;

[0016] Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr);

[0017] Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators;

[0018] Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters;

[0019] Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model;

[0020]

[0021] Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient;

[0022] Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f;

[0023] Generate control strategies for each equipment sub-area in turn.

[0024] In some embodiments of the present application, when selecting a target weight model according to environmental parameters, it includes:

[0025] According to the environmental scene sequence A, set ai as the target environmental scene;

[0026] Generate a similarity evaluation value g with respect to the target environment scene according to the environmental parameters of the target device sub-area;

[0027]

[0028] Wherein, n1 is the number of environmental indicators; αi is the influencing factor of the i-th environmental evaluation indicator; di is the reference value of the i-th environmental evaluation indicator in the target equipment sub-area; d'i is the reference value of the i-th environmental evaluation indicator in the target environmental scene;

[0029] Generate similarity evaluation values ​​between the target device sub-area and each environmental scene in sequence;

[0030] Establish a similarity evaluation value sequence G, G = (g1, g2...gi...gn), where gi is the similarity evaluation value with the i-th environmental scene;

[0031] The weight model of the environmental scene corresponding to the maximum value gmax in the similarity evaluation value sequence G is set as the target weight model.

[0032] In some embodiments of the present application, when generating a control strategy for a sub-area of ​​a target device, the process includes:

[0033] Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2;

[0034] If f<F1, set the target equipment sub-area as the first-level control strategy;

[0035] If F1≤f<F2, set the target equipment sub-area as the secondary control strategy;

[0036] If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

[0037] In some embodiments of the present application, when generating a control strategy for a target device sub-area, the following is further included:

[0038] Establish a time interval sequence T, T = (t1, t2...ti...tη), where ti is the i-th time interval; η is the number of time intervals;

[0039] Select the target time interval in sequence according to the time interval sequence T:

[0040] Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval;

[0041] Generate a first reference evaluation value H1 according to the historical personnel activity frequency;

[0042] Generate a second reference evaluation value H2 according to the historical average stay time;

[0043] Generate a compensation evaluation value k for the target time interval;

[0044] k=e1*H1+e2*H2;

[0045] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient;

[0046] According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set;

[0047] The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

[0048] In some embodiments of the present application, when setting the compensation coefficient j of the target device sub-area in the target time interval, it includes:

[0049] Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4);

[0050] If the compensation evaluation value k is at the preset first compensation evaluation value, the compensation coefficient g is set to the preset first compensation coefficient g1, that is, g=g1;

[0051] If the compensation evaluation value k is at the preset second compensation evaluation value, the compensation coefficient g is set to the preset second compensation coefficient g2, that is, g=g2;

[0052] If the compensation evaluation value k is at the preset third compensation evaluation value, the compensation coefficient g is set to the preset third compensation coefficient g3, that is, g=g3; and 1>g1>g2>g3.

[0053] In some embodiments of the present application, a smart energy-saving switch system is provided, comprising:

[0054] The central control unit generates multiple equipment sub-areas based on all the parameters of the equipment to be controlled, and establishes an equipment monitoring map;

[0055] A control unit, comprising a plurality of control switches, wherein the control switches are connected to the devices to be controlled, and the control switches are used to control the working parameters of the devices to be controlled;

[0056] A monitoring unit, comprising a plurality of monitoring modules, wherein the monitoring modules are arranged on the device to be controlled, and the monitoring modules are used to collect real-time parameters of various monitoring indicators;

[0057] The central control unit comprises:

[0058] The first processing module is used to establish an environmental monitoring model and set multiple monitoring indicators according to the environmental monitoring model;

[0059] The first processing module is also used to establish multiple environmental scenes and set a weight model in each environmental scene;

[0060] The second processing module is used to obtain the real-time parameters of all monitoring indicators and generate the control strategy of each equipment sub-area according to the real-time parameters;

[0061] The establishment of multiple environmental scenes includes:

[0062] Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

[0063] In some embodiments of the present application, the second processing module is further used to:

[0064] Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas;

[0065] According to the device sub-area sequence B, set bi as the target device sub-area in sequence;

[0066] Obtain real-time parameters of all monitoring indicators in the target device sub-area;

[0067] Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr);

[0068] Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators;

[0069] Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters;

[0070] Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model;

[0071]

[0072] Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient;

[0073] Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f;

[0074] Generate control strategies for each equipment sub-area in turn.

[0075] In some embodiments of the present application, when generating a control strategy for a sub-area of ​​a target device, the process includes:

[0076] Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2;

[0077] If f<F1, set the target equipment sub-area as the first-level control strategy;

[0078] If F1≤f<F2, set the target equipment sub-area as the secondary control strategy;

[0079] If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

[0080] In some embodiments of the present application, the central control unit further includes:

[0081] A first correction module, the first correction module is used to establish a time interval sequence T, T = (t1, t2 ... ti ... tη), where ti is the i-th time interval; η is the number of time intervals;

[0082] Select the target time interval in sequence according to the time interval sequence T:

[0083] Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval;

[0084] Generate a first reference evaluation value H1 according to the historical personnel activity frequency;

[0085] Generate a second reference evaluation value H2 according to the historical average stay time;

[0086] Generate a compensation evaluation value k for the target time interval;

[0087] k=e1*H1+e2*H2;

[0088] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient;

[0089] According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set;

[0090] The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

[0091] Compared with the prior art, the intelligent energy-saving switch system and control method thereof in the embodiment of the present application have the following beneficial effects:

[0092] By adding multiple sensors such as photosensitive sensors, sound sensors, and human infrared sensors, multiple data sources are collected, and the control strategy of the corresponding equipment to be controlled is adjusted according to the fusion processing results of multi-source data to improve energy saving efficiency.

[0093] By establishing a variety of environmental scenarios and adjusting the weight ratio of each category of monitoring data, the accuracy of data fusion can be improved, thereby achieving dynamic adjustment of energy-saving strategies for different scenarios. At the same time, multiple time intervals can be established to further optimize energy-saving strategies, realize intelligent management of electrical equipment, improve energy-saving efficiency, and reduce operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Figure 1 It is a flow chart of a control method of an intelligent energy-saving switch system in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0095] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0096] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0097] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0098] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0099] like Figure 1 As shown, a control method of an intelligent energy-saving switch system in a preferred embodiment of the present application includes:

[0100] S101: Generate multiple device sub-areas according to all parameters of the devices to be controlled, and establish a device monitoring map;

[0101] S102: Establish an environmental monitoring model, set multiple monitoring indicators according to the environmental monitoring model, establish multiple environmental scenarios, and set a weight model in each environmental scenario;

[0102] S103: Acquire real-time parameters of all monitoring indicators, and generate control strategies for each device sub-area according to the real-time parameters;

[0103] When building multiple environment scenes, include:

[0104] Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

[0105] Specifically, the monitoring indicators include light source signals, sound signals and infrared signals. A monitoring module is added to the device to be controlled to collect multi-source signals in real time. The monitoring module includes light sensors, sound sensors and human infrared sensors.

[0106] Specifically, multiple environmental scenes are established according to different values ​​of environmental parameters such as ambient brightness, ambient temperature, background noise, etc., and feature extraction and analysis are performed on each environmental scene to determine the weight ratio of light source signals, sound signals and infrared signals in the scene, and establish a corresponding weight model. This enables accurate processing of multi-source data signals collected by the monitoring module.

[0107] In a preferred embodiment of the present application, when generating a control strategy for each device sub-area according to real-time parameters, it includes:

[0108] Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas;

[0109] According to the device sub-area sequence B, set bi as the target device sub-area in sequence;

[0110] Obtain real-time parameters of all monitoring indicators in the target device sub-area;

[0111] Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr);

[0112] Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators;

[0113] Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters;

[0114] Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model;

[0115]

[0116] Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient;

[0117] Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f;

[0118] Specifically, the monitoring indicators include parameters such as ambient brightness, sound intensity and infrared temperature value. The corresponding reference value is set according to the real-time parameters of each monitoring indicator. The larger the reference value, the greater the possibility that lighting is needed.

[0119] Generate control strategies for each equipment sub-area in turn.

[0120] Specifically, when generating the control strategy for the target device sub-area, it includes:

[0121] Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2;

[0122] If f<F1, set the target equipment sub-area as the first-level control strategy;

[0123] If F1≤f<F2, set the target equipment sub-area as the secondary control strategy;

[0124] If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

[0125] Specifically, the first-level control strategy means that the energy-saving switch of the target device sub-area needs to be turned off at present, and the second-level control strategy means turning on the energy-saving switch to illuminate the target device sub-area. At the same time, the first-level opening time and the first-level lighting brightness are set. When the lighting time reaches the first-level opening time, re-judge. The second-level control strategy means setting the second-level lighting brightness, illuminating the target device sub-area for a long time, setting multiple feedback time nodes, and judging whether to modify the control strategy based on the real-time monitoring evaluation value of the feedback time node.

[0126] It can be understood that in the above embodiments, by adding multiple sensors such as photosensitive sensors, sound sensors, human infrared sensors, etc., multiple data sources are collected, and based on the fusion processing results of multi-source data, the control strategy of the corresponding device to be controlled is adjusted to improve energy saving efficiency.

[0127] In a preferred embodiment of the present application, when selecting a target weight model according to environmental parameters, it includes:

[0128] According to the environmental scene sequence A, set ai as the target environmental scene;

[0129] Generate a similarity evaluation value g with respect to the target environment scene according to the environmental parameters of the target device sub-area;

[0130]

[0131] Wherein, n1 is the number of environmental indicators; αi is the influencing factor of the i-th environmental evaluation indicator; di is the reference value of the i-th environmental evaluation indicator in the target equipment sub-area; d'i is the reference value of the i-th environmental evaluation indicator in the target environmental scene;

[0132] Generate similarity evaluation values ​​between the target device sub-area and each environmental scene in sequence;

[0133] Establish a similarity evaluation value sequence G, G = (g1, g2...gi...gn), where gi is the similarity evaluation value with the i-th environmental scene;

[0134] The weight model of the environmental scene corresponding to the maximum value gmax in the similarity evaluation value sequence G is set as the target weight model.

[0135] Specifically, environmental indicators include but are not limited to parameters such as ambient brightness, ambient temperature, and background noise. By generating similarity evaluation values ​​between the environmental parameters of the target device sub-area and each environmental scene, the corresponding weight model is quickly called to improve the processing efficiency and accuracy of the corresponding monitoring indicator data, thereby improving energy saving efficiency.

[0136] In a preferred embodiment of the present application, when generating a control strategy for a target device sub-area, the following steps are also included:

[0137] Establish a time interval sequence T, T = (t1, t2...ti...tη), where ti is the i-th time interval; η is the number of time intervals;

[0138] Select the target time interval in sequence according to the time interval sequence T:

[0139] Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval;

[0140] Generate a first reference evaluation value H1 according to the historical personnel activity frequency;

[0141] Generate a second reference evaluation value H2 according to the historical average stay time;

[0142] Generate a compensation evaluation value k for the target time interval;

[0143] k=e1*H1+e2*H2;

[0144] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient;

[0145] According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set;

[0146] The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

[0147] Specifically, the first reference evaluation value and the second reference evaluation value have the same value range. The greater the historical frequency of personnel activities, the larger the corresponding first reference evaluation value. The longer the historical average stay time, the larger the corresponding second reference evaluation value. The larger the compensation evaluation value k, the greater the lighting demand in the current time interval.

[0148] Specifically, multiple time intervals are established with a single day as a cycle.

[0149] Specifically, when setting the compensation coefficient j of the target device sub-area in the target time interval, it includes:

[0150] Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4);

[0151] If the compensation evaluation value k is at the preset first compensation evaluation value, the compensation coefficient g is set to the preset first compensation coefficient g1, that is, g=g1;

[0152] If the compensation evaluation value k is at the preset second compensation evaluation value, the compensation coefficient g is set to the preset second compensation coefficient g2, that is, g=g2;

[0153] If the compensation evaluation value k is at the preset third compensation evaluation value, the compensation coefficient g is set to the preset third compensation coefficient g3, that is, g=g3; and 1>g1>g2>g3.

[0154] Specifically, in the above embodiment, by establishing multiple time intervals and setting corresponding compensation coefficients according to historical parameters in different time intervals, the thresholds of each time interval are dynamically adjusted, thereby further optimizing the control strategy, improving energy-saving efficiency, and reducing overall operation and maintenance costs.

[0155] Based on another preferred embodiment of an intelligent energy-saving switch method in any of the above preferred embodiments, this preferred embodiment provides a control method for an intelligent energy-saving switch system, including:

[0156] The central control unit generates multiple equipment sub-areas based on all the parameters of the equipment to be controlled, and establishes an equipment monitoring map;

[0157] A control unit, comprising a plurality of control switches, wherein the control switches are connected to the devices to be controlled, and the control switches are used to control the working parameters of the devices to be controlled;

[0158] The monitoring unit includes a plurality of monitoring modules, which are arranged on the device to be controlled and are used to collect real-time parameters of various monitoring indicators;

[0159] Specifically, a single monitoring module includes a light sensor, a sound sensor, and a human infrared sensor.

[0160] Specifically, the central control unit includes:

[0161] The first processing module is used to establish an environmental monitoring model and set multiple monitoring indicators according to the environmental monitoring model;

[0162] The first processing module is also used to establish multiple environmental scenes and set a weight model in each environmental scene;

[0163] The second processing module is used to obtain the real-time parameters of all monitoring indicators and generate the control strategy of each equipment sub-area according to the real-time parameters;

[0164] When building multiple environment scenes, include:

[0165] Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

[0166] In a preferred embodiment of the present application, the second processing module is also used for:

[0167] Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas;

[0168] According to the device sub-area sequence B, set bi as the target device sub-area in sequence;

[0169] Obtain real-time parameters of all monitoring indicators in the target device sub-area;

[0170] Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr);

[0171] Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators;

[0172] Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters;

[0173] Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model;

[0174]

[0175] Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient;

[0176] Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f;

[0177] Generate control strategies for each equipment sub-area in turn.

[0178] In a preferred embodiment of the present application, when generating a control strategy for a sub-area of ​​a target device, the following steps are included:

[0179] Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2;

[0180] If f<F1, set the target equipment sub-area as the first-level control strategy;

[0181] If F1≤f<F2, set the target equipment sub-area as the secondary control strategy;

[0182] If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

[0183] In a preferred embodiment of the present application, the central control unit further includes:

[0184] A first correction module, the first correction module is used to establish a time interval sequence T, T = (t1, t2 ... ti ... tη), where ti is the i-th time interval; η is the number of time intervals;

[0185] Select the target time interval in sequence according to the time interval sequence T:

[0186] Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval;

[0187] Generate a first reference evaluation value H1 according to the historical personnel activity frequency;

[0188] Generate a second reference evaluation value H2 according to the historical average stay time;

[0189] Generate a compensation evaluation value k for the target time interval;

[0190] k=e1*H1+e2*H2;

[0191] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient;

[0192] According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set;

[0193] The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

[0194] According to the first concept of the present application, by adding multiple sensors such as photosensitive sensors, sound sensors, and human infrared sensors, multiple data sources are collected, and based on the fusion processing results of the multi-source data, the control strategy of the corresponding device to be controlled is adjusted to improve energy saving efficiency.

[0195] According to the second concept of the present application, by establishing multiple environmental scenarios and adjusting the weight ratio of each category of monitoring data, the accuracy of data fusion is improved, thereby realizing dynamic adjustment of energy-saving strategies for different scenarios. At the same time, multiple time intervals are established to further optimize the energy-saving strategies, realize intelligent management of electrical equipment, improve energy-saving efficiency, and reduce operation and maintenance costs.

[0196] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A control method for an intelligent energy-saving switch system, characterized in that: include: Generate multiple equipment sub-areas based on all equipment parameters to be controlled, and establish equipment monitoring maps; Establish an environmental monitoring model, set multiple monitoring indicators based on the environmental monitoring model, establish multiple environmental scenarios, and set the weight model within each environmental scenario; Obtain the real-time parameters of all monitoring indicators and generate control strategies for each equipment sub-area based on the real-time parameters; The establishment of multiple environmental scenes includes: Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

2. The control method of the intelligent energy-saving switch system according to claim 1, characterized in that: When generating control strategies for each equipment sub-area based on real-time parameters, including Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas; According to the device sub-area sequence B, set bi as the target device sub-area in sequence; Obtain real-time parameters of all monitoring indicators in the target device sub-area; Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr); Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators; Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters; Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model; Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient; Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f; Generate control strategies for each equipment sub-area in turn.

3. The control method of the intelligent energy-saving switch system according to claim 2, characterized in that: When selecting a target weight model based on environmental parameters, it includes: According to the environmental scene sequence A, set ai as the target environmental scene; Generate a similarity evaluation value g with respect to the target environment scene according to the environmental parameters of the target device sub-area; Wherein, n1 is the number of environmental indicators; αi is the influencing factor of the i-th environmental evaluation indicator; di is the reference value of the i-th environmental evaluation indicator in the target equipment sub-area; d'i is the reference value of the i-th environmental evaluation indicator in the target environmental scene; Generate similarity evaluation values ​​between the target device sub-area and each environmental scene in sequence; Establish a similarity evaluation value sequence G, G = (g1, g2...gi...gn), where gi is the similarity evaluation value with the i-th environmental scene; The weight model of the environmental scene corresponding to the maximum value gmax in the similarity evaluation value sequence G is set as the target weight model.

4. The control method of the intelligent energy-saving switch system according to claim 2, characterized in that: When generating a control strategy for a target equipment sub-area, include: Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2; If f<F1, set the target equipment sub-area as the first-level control strategy; If F1≤f<F2, set the target equipment sub-area as the secondary control strategy; If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

5. The control method of the intelligent energy-saving switch system according to claim 4, characterized in that: When generating a control strategy for a target equipment sub-area, it also includes: Establish a time interval sequence T, T = (t1, t2...ti...tη), where ti is the i-th time interval; η is the number of time intervals; Select the target time interval in sequence according to the time interval sequence T: Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval; Generate a first reference evaluation value H1 according to the historical personnel activity frequency; Generate a second reference evaluation value H2 according to the historical average stay time; Generate a compensation evaluation value k for the target time interval; k=e1*H1+e2*H2; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set; The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

6. The control method of the intelligent energy-saving switch system according to claim 5, characterized in that: When setting the compensation coefficient j of the target device sub-area in the target time interval, it includes: Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4); If the compensation evaluation value k is at the preset first compensation evaluation value, the compensation coefficient g is set to the preset first compensation coefficient g1, that is, g=g1; If the compensation evaluation value k is at the preset second compensation evaluation value, the compensation coefficient g is set to the preset second compensation coefficient g2, that is, g=g2; If the compensation evaluation value k is at the preset third compensation evaluation value, the compensation coefficient g is set to the preset third compensation coefficient g3, that is, g=g3; and 1>g1>g2>g3.

7. An intelligent energy-saving switch system, using the control method of the intelligent energy-saving switch system according to any one of claims 1 to 6, characterized in that: include: The central control unit generates multiple equipment sub-areas based on all the parameters of the equipment to be controlled, and establishes an equipment monitoring map; A control unit, comprising a plurality of control switches, wherein the control switches are connected to the devices to be controlled, and the control switches are used to control the working parameters of the devices to be controlled; A monitoring unit, comprising a plurality of monitoring modules, wherein the monitoring modules are arranged on the device to be controlled, and the monitoring modules are used to collect real-time parameters of various monitoring indicators; The central control unit comprises: The first processing module is used to establish an environmental monitoring model and set multiple monitoring indicators according to the environmental monitoring model; The first processing module is also used to establish multiple environmental scenes and set a weight model in each environmental scene; The second processing module is used to obtain the real-time parameters of all monitoring indicators and generate the control strategy of each equipment sub-area according to the real-time parameters; The establishment of multiple environmental scenes includes: Establish an environmental scene sequence A, A = (a1, a2...ai...an), where ai is the i-th environmental scene; n is the number of environmental scenes.

8. The intelligent energy-saving switch system according to claim 7, characterized in that: The second processing module is also used for: Establish a device sub-area sequence B, B = (b1, b2...bi...bm), where bi is the i-th device sub-area; m is the number of device sub-areas; According to the device sub-area sequence B, set bi as the target device sub-area in sequence; Obtain real-time parameters of all monitoring indicators in the target device sub-area; Establish a reference value sequence C of monitoring indicators in the target equipment sub-area, C = (c1, c2, ... ci ... cr); Among them, ci is the reference value of the i-th monitoring indicator in the target equipment sub-area; r is the number of monitoring indicators; Obtain environmental parameters in the target device sub-area, and select a target weight model based on the environmental parameters; Generate the monitoring evaluation value f in the target equipment sub-area according to the monitoring index reference value series C and the target weight model; Among them, βi is the weight coefficient of the i-th monitoring indicator set according to the target weight coefficient; Generate a control strategy for the target equipment sub-area according to the monitoring evaluation value f; Generate control strategies for each equipment sub-area in turn.

9. The intelligent energy-saving switch system according to claim 7, characterized in that: When generating a control strategy for a target equipment sub-area, include: Preset a first monitoring evaluation value threshold F1 and a second monitoring value threshold F2; If f<F1, set the target equipment sub-area as the first-level control strategy; If F1≤f<F2, set the target equipment sub-area as the secondary control strategy; If f ≥ F2, set the target equipment sub-area to the third-level control strategy.

10. The intelligent energy-saving switch system according to claim 9, characterized in that: The central control unit also includes: A first correction module, the first correction module is used to establish a time interval sequence T, T = (t1, t2 ... ti ... tη), where ti is the i-th time interval; η is the number of time intervals; Select the target time interval in sequence according to the time interval sequence T: Obtain the historical personnel activity frequency and historical average stay time in the target device sub-area within the target time interval; Generate a first reference evaluation value H1 according to the historical personnel activity frequency; Generate a second reference evaluation value H2 according to the historical average stay time; Generate a compensation evaluation value k for the target time interval; k=e1*H1+e2*H2; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; According to the compensation evaluation value k, a compensation coefficient j of the target device sub-area in the target time interval is set; The first monitoring evaluation value threshold F'1 = g*F1 and the second monitoring value threshold F'2 = g*F2 of the target device sub-area in the target time interval are set.

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