An Internet of Things building energy-saving control system

Abstract

The present invention provides an Internet of Things building energy-saving control system, which belongs to the field of building management and control technology. It includes a regional control early warning analysis module, a regional lighting alarm module, an energy-saving control execution module, a lighting equipment monitoring module and a building supervision terminal; the present invention analyzes the current regional environmental conditions of the corresponding corridor area in the building through the regional control early warning analysis module, and the regional lighting alarm module makes lighting judgments on the corresponding corridor area, so as to realize automatic and timely adjustment of the environment in each corridor area and automatically control the lighting of each corridor area, significantly improving the energy-saving effect of the building, and analyzes the quality status of the lighting equipment in each corridor area through the lighting equipment monitoring module to realize the timely elimination and replacement of the lighting equipment, thereby ensuring the lighting effect while reducing energy consumption, which is conducive to reducing the management difficulty of management personnel and has a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of building management and control, and in particular to an Internet of Things building energy-saving control system. Background Art

[0002] Buildings refer to buildings or building complexes with certain architectural structures and functions, especially high-rise or multi-story buildings used for multiple purposes such as residence, office, business, entertainment, industry, etc. With the acceleration of urbanization and the continuous increase in building energy consumption, energy conservation and emission reduction have become an important global issue.

[0003] At present, when conducting energy-saving management and control on buildings, people tend to guide indoor occupants in the buildings to reduce energy consumption. It is difficult to timely adjust the environment of each corridor area in the building and automatically control the lighting of each corridor area, which is not conducive to improving the energy-saving effect of the building. It is also difficult to achieve timely elimination and replacement of lighting equipment in the corridor area, and it is impossible to further reduce energy consumption and reduce management difficulty. The degree of intelligence is low.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an Internet of Things building energy-saving control system, which solves the problem that the prior art is difficult to timely adjust the environment of each corridor area in the building and automatically control the lighting of each corridor area, and it is difficult to achieve timely elimination and replacement of lighting equipment in the corridor area, which is not conducive to improving the energy-saving effect of the building and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An Internet of Things building energy-saving control system, which includes a regional control early warning analysis module, a regional lighting alarm module, an energy-saving control execution module, a lighting equipment monitoring module and a building supervision terminal;

[0008] The building supervision terminal obtains all the corridor areas that need to be supervised in the building, numbers each corridor area and marks them as supervision area i;

[0009] The regional control early warning analysis module analyzes the current regional environmental conditions of the supervision area i to determine whether environmental control is needed, and generates a high-emergency control signal or a low-emergency control signal accordingly, and sends the high-emergency control signal to the energy-saving control execution module and the building supervision end; the energy-saving control execution module adjusts the environment of the supervision area i when receiving the high-emergency control signal;

[0010] The regional lighting alarm module monitors the audio decibel value and real-time brightness of the supervision area i, and generates a lighting alarm signal when the real-time brightness does not exceed the preset real-time brightness threshold and the audio decibel value exceeds the preset audio decibel threshold, and sends the lighting alarm signal to the energy-saving control execution module and the building supervision end; when the energy-saving control execution module receives the lighting alarm signal, it controls the corresponding lighting equipment of the supervision area i to turn on;

[0011] The lighting equipment monitoring module analyzes the quality status of the corresponding lighting equipment, generates a quality warning signal or a quality qualified signal of the corresponding lighting equipment through analysis, and sends the quality warning signal or the quality qualified signal of the corresponding lighting equipment to the building supervision end, and the management personnel replaces the lighting equipment corresponding to the quality warning signal.

[0012] Furthermore, the specific analysis process of the regional regulation early warning analysis module includes:

[0013] The oxygen concentration and dust concentration of the supervision area i are collected and marked as the regional oxygen detection value and the regional dust detection value respectively, and the deviation value of the real-time humidity of the supervision area i compared with the preset suitable humidity standard value is marked as the regional humidity detection value, and the deviation value of the real-time temperature of the supervision area i compared with the preset suitable temperature standard value is marked as the regional temperature detection value;

[0014] The regional environmental coefficient is obtained by numerically calculating the regional oxygen detection value, the regional ash detection value, the regional humidity detection value and the regional temperature detection value, the regional environmental coefficient is averaged in a unit time to obtain the regional ring state value, and the regional environmental coefficient is numerically compared with the preset regional environmental coefficient threshold, and the proportion of the time that the regional environmental coefficient exceeds the preset regional environmental coefficient threshold in a unit time is marked as the regional asynchronic value;

[0015] The control urgency coefficient is obtained by numerically calculating the regional ring state value and the regional asynchronous value, and a corresponding preset control urgency coefficient threshold is assigned based on the current regional importance coefficient of the regulatory area i. The control urgency coefficient is numerically compared with the corresponding preset control urgency coefficient threshold; if the control urgency coefficient exceeds the corresponding preset control urgency coefficient threshold, a high control urgency signal is generated; if the control urgency coefficient does not exceed the corresponding preset control urgency coefficient threshold, a low control urgency signal is generated.

[0016] Furthermore, the specific process of assigning a corresponding preset regulation urgency coefficient threshold based on the current regional importance coefficient of the regulatory region i is as follows:

[0017] The current regional importance coefficient of regulatory area i is obtained, and several groups of preset regional importance coefficient ranges are set in advance, and each group of preset regional importance coefficient ranges corresponds to a group of preset regulation urgency coefficient thresholds. The current regional importance coefficient of regulatory area i is compared with all preset regional importance coefficient ranges one by one, and the preset regional importance coefficient range containing the regional importance coefficient is marked as the optimal range, and the preset regulation urgency coefficient threshold corresponding to the optimal range is marked as the preset regulation urgency coefficient threshold that is currently adapted to regulatory area i.

[0018] Furthermore, the regional control and early warning analysis module is communicated with the corridor crowd tracing module, which takes the current date as the end date and traces back to a monitoring period of a set number of days K1, and divides each day into eight detection periods; obtains the current detection period and marks it as the target period, obtains the regional importance coefficient of the monitoring area i in the target period through analysis, and sends the regional importance coefficient of the monitoring area i in the target period to the regional control and early warning analysis module.

[0019] Furthermore, the specific analysis process of obtaining the regional importance coefficient of the monitoring area i in the target period is as follows:

[0020] The average flow of people in the target period of the supervision area i on the corresponding date during the monitoring period is marked as the regional flow value, the regional flow value of the target period of the supervision area i on all dates during the monitoring period is averaged to obtain the regional flow value, and the proportion of days during the monitoring period when the regional flow value exceeds the preset regional flow threshold is marked as the regional excess value;

[0021] The regional population flow value with the largest value in the target period of the supervision area i during the monitoring period is marked as the regional population amplitude, and the regional importance coefficient of the monitoring area i in the target period is obtained by numerically calculating the regional population flow value, the regional over-occupancy value and the regional population amplitude.

[0022] Furthermore, the specific operation process of the lighting equipment monitoring module includes:

[0023] A supervision period is set, and the total on-time and average lighting power of the corresponding lighting equipment during the supervision period are collected, and the power consumed by the corresponding lighting equipment during the supervision period is marked as the lighting power consumption value. The total on-time, average lighting power and lighting power consumption value are numerically calculated to obtain the lighting energy saving coefficient. If the lighting energy saving coefficient does not exceed the preset lighting energy saving coefficient threshold, the corresponding lighting equipment is marked as a high-energy consumption device;

[0024] If the lighting energy-saving coefficient exceeds the preset lighting energy-saving coefficient threshold, the lighting evaluation value of the corresponding lighting equipment is obtained through analysis. If the lighting evaluation value exceeds the preset lighting evaluation threshold, the corresponding lighting equipment is marked as a high-abnormality equipment; if the corresponding lighting equipment is a high-energy consumption equipment or a high-abnormality equipment, a quality warning signal for the corresponding lighting equipment is generated, otherwise a quality qualified signal for the corresponding lighting equipment is generated.

[0025] Furthermore, the analysis and acquisition method of the lighting evaluation value is as follows:

[0026] When the corresponding lighting equipment is in the on state, its actual lighting brightness is collected and the deviation value of the actual lighting brightness compared with the set standard brightness is marked as the lighting brightness deviation value, and the lighting brightness deviation value is numerically compared with the preset lighting brightness deviation threshold value. If the lighting brightness deviation value exceeds the preset lighting brightness deviation threshold value, the lighting brightness deviation value is marked as the lighting brightness deviation value, and the number of lighting brightness deviation values ​​of the corresponding lighting equipment during the supervision period is calculated by ratio to the number of lighting brightness deviation values ​​to obtain the brightness deviation occupancy value;

[0027] All the turn-on delay times and turn-off delay times of the corresponding lighting equipment during the supervision period are collected, and the turn-on delay value is obtained by averaging all the turn-off delay times, and the sleep delay value is obtained by averaging all the turn-off delay times; the lighting evaluation value of the corresponding lighting equipment is obtained by numerically calculating the lighting energy-saving coefficient, brightness difference value, turn-on delay value and sleep delay value.

[0028] Furthermore, the building supervision end is communicatively connected to the building line monitoring module, the building line monitoring module obtains the transmission lines that need to be supervised in the building, obtains the power input value and power output value of the transmission line in unit time, and marks the difference between the power input value and the power output value as the transmission loss value. If the transmission loss value exceeds the preset transmission loss threshold, a transmission line loss abnormality signal is generated, and the transmission line loss abnormality signal is sent to the building supervision end.

[0029] Furthermore, if the transmission loss value does not exceed the preset transmission loss threshold, the real-time temperature value, real-time vibration value and real-time hissing sound value of several detection points on the transmission line are collected, and the real-time temperature value, real-time vibration value and real-time hissing sound value are numerically calculated to obtain the line point condition value. If the line point condition value exceeds the preset line point condition threshold, the corresponding detection point is marked as a transmission risk point;

[0030] The number of transmission risk points on the transmission line is obtained and marked as transmission risk measurement values, and the line condition values ​​of all detection points are averaged to obtain the transmission comprehensive inspection value. If the transmission risk measurement value or the transmission comprehensive inspection value exceeds the corresponding preset threshold, a hidden danger abnormal signal of the transmission line is generated, and the hidden danger abnormal signal of the transmission line is sent to the building supervision end.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the current regional environmental conditions of the corresponding corridor area in the building are analyzed through the regional control and early warning analysis module, and the regional lighting alarm module makes lighting judgments on the corresponding corridor area, so as to realize automatic and timely adjustment of the environment in each corridor area and automatically control the lighting of each corridor area, significantly improving the energy-saving effect of the building, and the quality status of the lighting equipment in each corridor area is analyzed through the lighting equipment monitoring module to realize the timely elimination and replacement of the lighting equipment, thereby ensuring the lighting effect while reducing energy consumption, which is conducive to reducing the management difficulty of the management personnel;

[0033] 2. In the present invention, the transmission lines that need to be supervised in the building are obtained through the building line monitoring module, and the transmission loss of the corresponding transmission line is analyzed. When the transmission loss is judged to be normal, its operation risk status is comprehensively evaluated, and when an abnormal loss signal or a hidden danger abnormal signal is generated, the corresponding transmission line is investigated and analyzed and reasonable improvement measures are taken to avoid increasing building energy consumption due to abnormalities such as leakage, further reduce the operation risk of the transmission line and reduce the management difficulty of management personnel, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1: Figure 1 As shown, an Internet of Things building energy-saving control system proposed by the present invention includes a regional control early warning analysis module, a regional lighting alarm module, an energy-saving control execution module, a lighting equipment monitoring module and a building supervision terminal;

[0039] The building supervision terminal obtains all the corridor areas that need to be supervised in the building, numbers each corridor area and marks them as supervision area i;

[0040] The regional control early warning analysis module analyzes the current regional environmental conditions of the supervision area i to determine whether environmental control is needed, and generates a high-emergency control signal or a low-emergency control signal accordingly, and sends the high-emergency control signal to the energy-saving control execution module and the building supervision end through the Internet of Things. When the energy-saving control execution module receives the high-emergency control signal, it adjusts the environment of the supervision area i (for example, starts the ventilation equipment for ventilation), realizes automatic and timely adjustment of the environment in each corridor area, and does not need to keep the corresponding adjustment equipment in operation, significantly reduces the energy consumption of the building and improves the degree of intelligence; the specific analysis process of the regional control early warning analysis module is as follows:

[0041] The oxygen concentration and dust concentration of the supervision area i are collected and marked as the regional oxygen detection value and the regional dust detection value respectively, and the deviation value of the real-time humidity of the supervision area i compared with the preset suitable humidity standard value is marked as the regional humidity detection value, and the deviation value of the real-time temperature of the supervision area i compared with the preset suitable temperature standard value is marked as the regional temperature detection value;

[0042] The regional oxygen detection value LPi, the regional ash detection value LKi, the regional humidity detection value LYi and the regional temperature detection value LNi are numerically calculated by the formula LXi=(ny1×LPi+ny2×LKi+ny3×LYi+ny4×LNi) / 4 to obtain the regional environmental coefficient LXi; wherein ny1, ny2, ny3 and ny4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional environmental coefficient LXi, the worse the real-time environmental condition of the supervision area i;

[0043] The regional environmental value is obtained by calculating the mean of all regional environmental coefficients within a unit time, and the regional environmental coefficient is numerically compared with the preset regional environmental coefficient threshold, and the proportion of the time when the regional environmental coefficient exceeds the preset regional environmental coefficient threshold within a unit time is marked as the regional heterogeneous value; for example, if the time to obtain a regional environmental coefficient is 1 minute, the unit time is 5 minutes, and three regional environmental coefficients exceed the preset regional environmental coefficient threshold within a unit time, then the regional heterogeneous value is 0.6; specifically, when the regional environmental coefficient exceeds the preset regional environmental coefficient threshold, it indicates that the regional environmental condition at the corresponding moment is poor. If the proportion of the time in which the environmental condition is poor within a certain period of time is large, it indicates that timely regional environmental regulation is more necessary;

[0044] The regional annular value YSi and the regional asynchrony value YFi are numerically calculated by the formula YPi=sp1×YSi / sp2+sp2×YFi to obtain the regulation urgency coefficient YPi; wherein sp1 and sp2 are preset proportional coefficients, sp2>sp1>0; and the larger the value of the regulation urgency coefficient YPi, the worse the environmental condition of the regulatory area i is in general, and the more timely environmental regulation of the regulatory area i is needed;

[0045] The current regional importance coefficient WRi of the regulatory area i is obtained, and several groups of preset regional importance coefficient ranges are set in advance, and each group of preset regional importance coefficient ranges corresponds to a group of preset regulation urgency coefficient thresholds, wherein the values ​​of the preset regulation urgency coefficient thresholds are all positive numbers, and the larger the value of the preset regional importance coefficient range, the smaller the value of the corresponding preset regulation urgency coefficient threshold;

[0046] Compare the current regional importance coefficient WRi of the regulatory area i with all preset regional importance coefficient ranges one by one, mark the preset regional importance coefficient range containing the regional importance coefficient WRi as the optimal range, and mark the preset regulation urgency coefficient threshold corresponding to the optimal range as the preset regulation urgency coefficient threshold currently adapted to the regulatory area i;

[0047] The control urgency coefficient is numerically compared with the corresponding preset control urgency coefficient threshold; if the control urgency coefficient exceeds the corresponding preset control urgency coefficient threshold, it indicates that the environmental conditions in the regulatory area i are generally poor and timely adjustments are required to improve the environmental comfort, and a high control emergency signal is generated; if the control urgency coefficient does not exceed the corresponding preset control urgency coefficient threshold, it indicates that the environmental conditions in the regulatory area i are generally good and timely environmental adjustments are not required, and a low control emergency signal is generated.

[0048] Furthermore, the regional control early warning analysis module is connected to the corridor flow tracing module in communication. The corridor flow tracing module takes the current date as the end date and traces back to a monitoring period set as K1. Preferably, K1 is seven days. Each day is divided into eight detection periods, each corresponding to three hours. The current detection period is obtained and marked as the target period.

[0049] The regional importance coefficient of monitoring area i in the target period is obtained through analysis, and the regional importance coefficient of monitoring area i in the target period is sent to the regional regulation and early warning analysis module, which can reasonably analyze and accurately judge the importance of regulatory area i, provide information support for the analysis process of the regional regulation and early warning analysis module, and ensure the accuracy of its analysis results; the specific analysis process is as follows:

[0050] The average flow of people in the target time period of the supervision area i on the corresponding date of the monitoring period is marked as the regional flow value, and the regional flow values ​​of the target time period of the supervision area i on all dates of the monitoring period are averaged to obtain the regional population value. For example, the monitoring period refers to January 1st to January 3rd, the corresponding date of the monitoring period refers to any day of these three days, and the target time period refers to one o'clock to three o'clock. Then, the average flow of people from one o'clock to three o'clock on January 1st, January 2nd, and January 3rd are collected respectively, and the average flow of people from one o'clock to three o'clock on January 1st, January 2nd, and January 3rd is averaged to obtain the regional population value; and the proportion of days in which the regional flow value exceeds the preset regional flow threshold during the monitoring period is marked as the regional excess value;

[0051] The regional population flow value with the largest value in the target period of the monitoring area i is marked as the regional population amplitude. The regional population flow value WFi, the regional over-occupancy value WSi and the regional population amplitude WYi are numerically calculated through the formula WRi=eq2×WSi+(eq1×WFi+eq3×WYi) / 2 to obtain the regional importance coefficient WRi of the monitoring area i in the target period; among them, eq1, eq2, eq3 are preset proportional coefficients, eq2>eq1>eq3>0; and the larger the value of the regional importance coefficient WRi, the more important the supervision area i is, and the more it is necessary to strengthen the environmental control of the supervision area i to ensure its environmental comfort.

[0052] The regional lighting alarm module monitors the audio decibel value and real-time brightness of the supervision area i. When the real-time brightness does not exceed the preset real-time brightness threshold and the audio decibel value exceeds the preset audio decibel threshold (that is, when the supervision area i is relatively dim and there are people), a lighting alarm signal is generated, and the lighting alarm signal is sent to the energy-saving control execution module and the building supervision end through the Internet of Things; when the energy-saving control execution module receives the lighting alarm signal, it controls the corresponding lighting equipment in the supervision area i to turn on, thereby automatically controlling the lighting of each corridor area, without keeping the lighting equipment in each corridor area in the building in the on state all the time, further reducing the building energy consumption and improving the building energy-saving effect.

[0053] The lighting equipment monitoring module analyzes the quality status of the corresponding lighting equipment, generates quality warning signals or quality qualified signals of the corresponding lighting equipment through analysis, and sends the quality warning signals or quality qualified signals of the corresponding lighting equipment to the building supervision end through the Internet of Things. The management personnel replace the lighting equipment corresponding to the quality warning signal, and can reasonably analyze and accurately determine the lighting equipment with poor performance, realize the timely elimination and replacement of lighting equipment, ensure the lighting effect while reducing energy consumption; the specific operation process of the lighting equipment monitoring module is as follows:

[0054] A supervision period is set, preferably, the supervision period is fifteen days; the total opening time and average lighting power of the corresponding lighting equipment during the supervision period are collected, and the power consumed by the corresponding lighting equipment during the supervision period is marked as the lighting power consumption value;

[0055] By formula The total on time ZW, the average lighting power ZY and the lighting power consumption value ZL are numerically calculated to obtain the lighting energy saving coefficient ZS; wherein rw1 and rw2 are preset proportional coefficients with values ​​greater than zero, and the smaller the value of the lighting energy saving coefficient ZS, the higher the energy consumption of the corresponding lighting equipment during the supervision period, and the worse the energy saving performance;

[0056] Compare the lighting energy saving coefficient ZS with the preset lighting energy saving coefficient threshold. If the lighting energy saving coefficient ZS does not exceed the preset lighting energy saving coefficient threshold, it indicates that the energy consumption of the corresponding lighting equipment during the supervision period is high and the energy saving performance is poor, and the corresponding lighting equipment is marked as a high energy consumption equipment;

[0057] If the lighting energy saving coefficient ZS exceeds the preset lighting energy saving coefficient threshold, indicating that the energy saving performance of the corresponding lighting equipment during the supervision period is good, then when the corresponding lighting equipment is in the on state, its actual lighting brightness is collected and the deviation value of the actual lighting brightness compared with the set standard brightness is marked as the lighting brightness deviation value, and the lighting brightness deviation value is numerically compared with the preset lighting brightness deviation threshold. If the lighting brightness deviation value exceeds the preset lighting brightness deviation threshold, the lighting brightness deviation value is marked as the lighting brightness deviation value, and the number of lighting brightness deviation values ​​of the corresponding lighting equipment during the supervision period is calculated by ratio to the number of lighting brightness deviation values ​​to obtain the brightness deviation occupancy value;

[0058] Collect all the turn-on delays and turn-off delays of the corresponding lighting equipment during the supervision period, calculate the average of all the turn-on delays during the supervision period to obtain the turn-on delay value, and calculate the average of all the turn-off delays during the supervision period to obtain the sleep delay value;

[0059] By formula The lighting energy saving coefficient ZS, the brightness difference occupancy value XN, the start-up delay value XF and the sleep delay value XL are numerically calculated to obtain the lighting evaluation value XP of the corresponding lighting equipment; wherein fu1, fu2, fu3 and fu4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the lighting evaluation value XP is, the worse the operating performance of the corresponding lighting equipment is in general;

[0060] The lighting evaluation value XP is numerically compared with the preset lighting evaluation threshold. If the lighting evaluation value XP exceeds the preset lighting evaluation threshold, it indicates that the overall operating performance of the corresponding lighting equipment is poor, and the corresponding lighting equipment is marked as a high-abnormality equipment; if the corresponding lighting equipment is a high-energy consumption equipment or a high-abnormality equipment, it indicates that the corresponding lighting equipment needs to be replaced, and a quality warning signal for the corresponding lighting equipment is generated, otherwise a quality qualified signal for the corresponding lighting equipment is generated.

[0061] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the building supervision end is connected to the building line monitoring module through communication, the building line monitoring module obtains the transmission line that needs to be supervised in the building, obtains the power input value and the power output value of the transmission line in unit time, and marks the difference between the power input value and the power output value as the transmission loss value; it should be noted that the larger the value of the transmission loss value is, the greater the probability that the transmission line has an abnormal condition such as leakage;

[0062] The transmission loss value is numerically compared with the preset transmission loss threshold. If the transmission loss value exceeds the preset transmission loss threshold, a loss abnormality signal of the transmission line is generated, and the loss abnormality signal of the transmission line is sent to the building supervision end through the Internet of Things. When the building supervision end receives the loss abnormality signal, a corresponding early warning is issued to remind management personnel to promptly investigate and analyze the transmission line and make reasonable improvement measures to avoid safety hazards and increased energy consumption due to leakage and other reasons.

[0063] Furthermore, if the transmission loss value does not exceed the preset transmission loss threshold, the real-time temperature value, real-time vibration value and real-time hissing sound value of several detection points on the transmission line are collected; wherein the real-time vibration value is a data value indicating the sum of the vibration amplitude and the vibration frequency of the corresponding detection point on the transmission line, and the real-time hissing sound value is a data value indicating the decibel value of the hissing sound emitted by the corresponding detection point on the transmission line;

[0064] The real-time temperature value TE, the real-time vibration value TP and the real-time hissing sound value TK are numerically calculated by the formula TM=(c1×TE+c2×TP+c3×TK) / 3 to obtain the line point condition value TM; wherein c1, c2 and c3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the line point condition value TM is, the more abnormal the operating condition of the corresponding detection point on the transmission line is;

[0065] The line point condition value TM is numerically compared with the preset line point condition threshold. If the line point condition value TM exceeds the preset line point condition threshold, it indicates that the operation condition of the corresponding detection point on the transmission line is abnormal, and the corresponding detection point is marked as a transmission risk point;

[0066] The number of transmission risk points on the transmission line is obtained and marked as transmission risk measurement values, and the line condition values ​​of all detection points are averaged to obtain the transmission comprehensive inspection value; the transmission risk measurement value and the transmission comprehensive inspection value are numerically compared with the preset transmission risk measurement threshold and the preset transmission comprehensive inspection threshold respectively; if the transmission risk measurement value or the transmission comprehensive inspection value exceeds the corresponding preset threshold, indicating that the transmission line has a large safety hazard, then a hidden danger abnormality signal of the transmission line is generated; and the hidden danger abnormality signal of the transmission line is sent to the building supervision end through the Internet of Things. When the building supervision end receives the hidden danger abnormality signal, it issues a corresponding early warning to remind the management personnel to promptly investigate and analyze the transmission line and make reasonable improvement measures, so as to further reduce the operation risk of the transmission line and reduce the management difficulty of the management personnel.

[0067] The working principle of the present invention is as follows: when in use, the current regional environmental conditions of the corresponding corridor area in the building are analyzed through the regional control and early warning analysis module to determine whether environmental control is needed. When a high-emergency control signal is generated, the environment of the corresponding corridor area is adjusted through the energy-saving control execution module, so as to realize automatic and timely adjustment of the environment in each corridor area; the regional lighting alarm module makes a lighting judgment on the corresponding corridor area, and when a lighting alarm signal is generated, the lighting equipment in the corresponding corridor area is turned on through the energy-saving control execution module, so as to automatically control the lighting of each corridor area, without making the adjustment equipment and lighting equipment in each corridor area in the building always in the turned-on state, thereby significantly improving the energy-saving effect of the building; and the quality status of the lighting equipment in each corridor area is analyzed through the lighting equipment monitoring module, so as to reasonably analyze and accurately determine the lighting equipment with poor performance, realize the timely elimination and replacement of the lighting equipment, ensure the lighting effect while reducing energy consumption, which is conducive to reducing the management difficulty of management personnel and has a high degree of intelligence.

[0068] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An Internet of Things building energy-saving control system, characterized in that: It includes regional control early warning analysis module, regional lighting alarm module, energy-saving control execution module, lighting equipment monitoring module and building supervision terminal; The building supervision terminal obtains all the corridor areas that need to be supervised in the building, numbers each corridor area and marks them as supervision area i; The regional control early warning analysis module analyzes the current regional environmental conditions of the supervision area i to determine whether environmental control is needed, and generates a high-emergency control signal or a low-emergency control signal accordingly, and sends the high-emergency control signal to the energy-saving control execution module and the building supervision end; The energy-saving control execution module adjusts the environment of the supervision area i when receiving the high-emergency signal of regulation; The regional lighting alarm module monitors the audio decibel value and real-time brightness of the supervision area i, and generates a lighting alarm signal when the real-time brightness does not exceed the preset real-time brightness threshold and the audio decibel value exceeds the preset audio decibel threshold, and sends the lighting alarm signal to the energy-saving control execution module and the building supervision end; when the energy-saving control execution module receives the lighting alarm signal, it controls the corresponding lighting equipment of the supervision area i to turn on; The lighting equipment monitoring module analyzes the quality status of the corresponding lighting equipment, generates a quality warning signal or a quality qualified signal of the corresponding lighting equipment through analysis, and sends the quality warning signal or the quality qualified signal of the corresponding lighting equipment to the building supervision end, and the management personnel replace the lighting equipment corresponding to the quality warning signal; The specific analysis process of the regional control early warning analysis module includes: The oxygen concentration and dust concentration of the supervision area i are collected and marked as the regional oxygen detection value and the regional dust detection value respectively, and the deviation value of the real-time humidity of the supervision area i compared with the preset suitable humidity standard value is marked as the regional humidity detection value, and the deviation value of the real-time temperature of the supervision area i compared with the preset suitable temperature standard value is marked as the regional temperature detection value; The regional oxygen detection value LPi, the regional ash detection value LKi, the regional humidity detection value LYi and the regional temperature detection value LNi are numerically calculated by the formula LXi=(ny1×LPi+ny2×LKi+ny3×LYi+ny4×LNi) / 4 to obtain the regional environmental coefficient LXi, wherein ny1, ny2, ny3 and ny4 are preset proportional coefficients with values ​​greater than zero; the regional environmental coefficients in a unit time are averaged to obtain the regional annular value, and the regional environmental coefficient is numerically compared with the preset regional environmental coefficient threshold, and the proportion of the time that the regional environmental coefficient exceeds the preset regional environmental coefficient threshold in a unit time is marked as the regional anomalous value; The regional annular value YSi and the regional asynchronous value YFi are numerically calculated by the formula YPi=sp1×YSi / sp2+sp2×YFi to obtain the control urgency coefficient YPi, wherein sp1 and sp2 are preset proportional coefficients, and sp2>sp1>0; based on the current regional importance coefficient of the regulatory area i, a corresponding preset control urgency coefficient threshold is assigned, and the control urgency coefficient is numerically compared with the corresponding preset control urgency coefficient threshold; if the control urgency coefficient exceeds the corresponding preset control urgency coefficient threshold, a high control urgency signal is generated; if the control urgency coefficient does not exceed the corresponding preset control urgency coefficient threshold, a low control urgency signal is generated; The specific operation process of the lighting equipment monitoring module includes: Set the supervision period, collect the total opening time and average lighting power of the corresponding lighting equipment during the supervision period, and mark the power consumed by the corresponding lighting equipment during the supervision period as the lighting power consumption value. The total opening time ZW, the average lighting power ZY and the lighting power consumption value ZL are numerically calculated to obtain the lighting energy saving coefficient ZS, where rw1 and rw2 are preset proportional coefficients with values ​​greater than zero; if the lighting energy saving coefficient does not exceed the preset lighting energy saving coefficient threshold, the corresponding lighting equipment is marked as a high energy consumption equipment; If the lighting energy saving coefficient exceeds the preset lighting energy saving coefficient threshold, the lighting evaluation value of the corresponding lighting equipment is obtained through analysis. If the lighting evaluation value exceeds the preset lighting evaluation threshold, the corresponding lighting equipment is marked as a high abnormality equipment; if the corresponding lighting equipment is a high energy consumption equipment or a high abnormality equipment, a quality warning signal of the corresponding lighting equipment is generated, otherwise a quality qualified signal of the corresponding lighting equipment is generated; The building supervision end is connected to the building line monitoring module through communication. The building line monitoring module obtains the transmission line that needs to be supervised in the building, obtains the power input value and power output value of the transmission line in unit time, and marks the difference between the power input value and the power output value as the transmission loss value. If the transmission loss value exceeds the preset transmission loss threshold, a transmission line loss abnormality signal is generated, and the transmission line loss abnormality signal is sent to the building supervision end; If the transmission loss value does not exceed the preset transmission loss threshold, the real-time temperature value, real-time vibration value and real-time hiss value of several detection points on the transmission line are collected, and the real-time temperature value TE, real-time vibration value TP and real-time hiss value TK are numerically calculated by the formula TM=(c1×TE+c2×TP+c3×TK) / 3 to obtain the line point condition value TM, where c1, c2 and c3 are preset proportional coefficients with values ​​greater than zero; if the line point condition value exceeds the preset line point condition threshold, the corresponding detection point is marked as a transmission risk point; The number of transmission risk points on the transmission line is obtained and marked as transmission risk measurement values, and the line condition values ​​of all detection points are averaged to obtain the transmission comprehensive inspection value. If the transmission risk measurement value or the transmission comprehensive inspection value exceeds the corresponding preset threshold, a hidden danger abnormal signal of the transmission line is generated, and the hidden danger abnormal signal of the transmission line is sent to the building supervision end.

2. The Internet of Things building energy-saving control system according to claim 1 is characterized in that: The specific process of assigning a corresponding preset regulation urgency coefficient threshold based on the current regional importance coefficient of regulatory region i is as follows: The current regional importance coefficient of regulatory area i is obtained, and several groups of preset regional importance coefficient ranges are set in advance, and each group of preset regional importance coefficient ranges corresponds to a group of preset regulation urgency coefficient thresholds. The current regional importance coefficient of regulatory area i is compared with all preset regional importance coefficient ranges one by one, and the preset regional importance coefficient range containing the regional importance coefficient is marked as the optimal range, and the preset regulation urgency coefficient threshold corresponding to the optimal range is marked as the preset regulation urgency coefficient threshold that is currently adapted to regulatory area i.

3. An Internet of Things building energy-saving control system according to claim 1 or 2, characterized in that: The regional control early warning analysis module is connected to the corridor flow tracing module in communication. The corridor flow tracing module takes the current date as the end date and traces back to the monitoring period set as K1, and divides each day into eight detection periods; The current detection period is obtained and marked as the target period. The regional importance coefficient of the monitoring area i in the target period is obtained through analysis, and the regional importance coefficient of the monitoring area i in the target period is sent to the regional control early warning analysis module.

4. The Internet of Things building energy-saving control system according to claim 3 is characterized in that: The specific analysis process of obtaining the regional importance coefficient of monitoring area i in the target period through analysis is as follows: The average flow of people in the target period of the supervision area i on the corresponding date during the monitoring period is marked as the regional flow value, the regional flow value of the target period of the supervision area i on all dates during the monitoring period is averaged to obtain the regional flow value, and the proportion of days during the monitoring period when the regional flow value exceeds the preset regional flow threshold is marked as the regional excess value; The regional population flow value with the largest value in the target period of the supervision area i during the monitoring period is marked as the regional population amplitude, and the regional importance coefficient of the monitoring area i in the target period is obtained by numerically calculating the regional population flow value, the regional over-occupancy value and the regional population amplitude.

5. The Internet of Things building energy-saving control system according to claim 1, characterized in that: The analysis and acquisition method of lighting evaluation value is as follows: When the corresponding lighting equipment is in the on state, its actual lighting brightness is collected and the deviation value of the actual lighting brightness compared with the set standard brightness is marked as the lighting brightness deviation value, and the lighting brightness deviation value is numerically compared with the preset lighting brightness deviation threshold value. If the lighting brightness deviation value exceeds the preset lighting brightness deviation threshold value, the lighting brightness deviation value is marked as the lighting brightness deviation value, and the number of lighting brightness deviation values ​​of the corresponding lighting equipment during the supervision period is calculated by ratio to the number of lighting brightness deviation values ​​to obtain the brightness deviation occupancy value; All the turn-on delay times and turn-off delay times of the corresponding lighting equipment during the supervision period are collected, and the turn-on delay value is obtained by averaging all the turn-off delay times, and the sleep delay value is obtained by averaging all the turn-off delay times; the lighting evaluation value of the corresponding lighting equipment is obtained by numerically calculating the lighting energy-saving coefficient, brightness difference value, turn-on delay value and sleep delay value.

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