Building intelligent monitoring system for weak current engineering

Abstract

The application discloses a kind of weak current engineering building intelligent monitoring system, the present application relates to weak current engineering technical field, including building construction module, heat generation module, regional control module, speed analysis module and bright interval control module, also include abnormal monitoring module and energy saving ratio module, the advantages of the present application are that: subsequent regional management and control are provided with intuitive, detailed building model foundation by building construction module, accurately analyze the degree of conformity of object shape and human shape, and the passenger flow information of different regions, provide key data for regional control and lighting control, according to the monitoring of weak current engineering is realized to electricity situation, according to passenger flow information and time arrangement unit is individually controlled to electrical equipment, can effectively improve the management efficiency of electrical equipment, monitor user walking speed and body posture judge user type, provide personalized basis for brightness control of lighting equipment.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of weak current engineering, in particular to a building intelligent monitoring system for weak current engineering. BACKGROUND

[0002] The building is a general term of buildings and structures, is a man-made environment created by people for meeting the needs of social life, using the mastered material technical means, and applying certain scientific laws and aesthetic rules, the weak current engineering is a classification of power application, the power application can be divided into two types of strong current and weak current according to the power transmission power of the power, the building and building group electricity generally refers to the weak current of alternating current 220V 50Hz below, mainly provides power energy for people, and converts the electric energy into other energy;

[0003] The common building intelligent monitoring system for weak current engineering in the market cannot accurately analyze the coincidence degree of the object and the human body shape when in use, so that the people flow information statistics are inaccurate, when the layout or people flow distribution in the building changes, the monitoring strategy cannot be adjusted in time, when the people flow changes or the specific area demand is different, the accurate energy management cannot be realized, and energy is wasted, therefore, the building intelligent monitoring system for weak current engineering is proposed. SUMMARY

[0004] The application aims to provide a building intelligent monitoring system for weak current engineering.

[0005] In order to solve the problems in the above background technology, the application provides the following technical scheme: a building intelligent monitoring system for weak current engineering, comprising a weak current acquisition module, the weak current acquisition module is used for acquiring weak current information in the building range, characterized by further comprising a building construction module, a heat generation module, a region control module, a speed analysis module and a light separation control module;

[0006] The building construction module analyzes the types of weak current information according to the acquired weak current information, so as to obtain the building type and the electric equipment information corresponding to the weak current information, and synchronously obtains the map information in the building region, draws a two-dimensional scene graph and a three-dimensional scene graph;

[0007] The heat generation module divides the two-dimensional scene graph and the three-dimensional scene graph into regions, sets an infrared thermal imager in the interior of different regions, simultaneously analyzes the coincidence degree of the object shape and the human body shape entering different regions, analyzes the people flow information in different regions, and sets a similarity threshold, when the coincidence degree of the object shape and the human body shape is lower than the similarity threshold, it is judged that the object does not belong to the range of people, then the record of the corresponding object is deleted;

[0008] The area control module divides different areas into independent entities, acquires pedestrian flow information in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas individually based on the time arrangement units and pedestrian flow information in different areas.

[0009] The pace analysis module analyzes the user's walking speed and determines the user's type based on the user's walking speed and the user's body posture monitored by the infrared thermal imager. It then establishes segmentation units, further divides different areas into different segments, and determines the time required for the user to walk through different segments.

[0010] The brightness control module analyzes the duration of illumination of the lighting equipment within each segment based on the time required for the user to traverse different distances. Simultaneously, it establishes brightness units for the lighting equipment. Then, based on the user type and the time required to traverse different distances, it selects different brightness modes within the brightness units and controls the lighting equipment according to the brightness modes.

[0011] As a further embodiment of the present invention, it also includes an anomaly monitoring module and an energy-saving ratio module;

[0012] The anomaly monitoring module extracts information from different electrical devices and obtains the power consumption status and normal power consumption range of different power consumption information under normal use conditions, and determines the probability of anomalies in electrical devices in different areas.

[0013] The energy-saving ratio module records the power consumption information of different electrical devices, obtains normal power consumption information in other two-dimensional and three-dimensional scene maps, generates a normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional and three-dimensional scene maps, generates an energy-saving energy consumption mode, analyzes the energy consumption ratio between the energy-saving energy consumption mode and the normal energy consumption mode, and analyzes the energy-saving effect of the energy-saving energy consumption mode.

[0014] As a further aspect of the present invention: after acquiring the information of the electrical equipment, the building construction module further classifies the electrical equipment according to its energy consumption range, thereby improving energy efficiency without affecting daily use. Simultaneously, mandatory start units are established. Administrators pre-select the information of the electrical equipment that must be started and its corresponding start permissions into these mandatory start units. The electrical equipment in these mandatory start units requires manual start / stop operations by the administrator. Let the energy consumption of the electrical equipment be Y. 耗 Let the threshold for energy-saving level classification be D. 日 Let M be the threshold for classifying daily levels. 亮 ;

[0015] When Y 耗 ≤D 日 At that time, the corresponding electrical equipment will be included in the energy-saving equipment category;

[0016] When D日 <Y 耗 ≤M 亮 At that time, the corresponding electrical equipment will be included in the daily equipment level;

[0017] When Y 耗 >M 亮 At that time, the corresponding electrical equipment will be included in the lighting equipment level.

[0018] As a further aspect of the present invention: the thermal generation module can receive information processed by the building construction module. After detecting object movement, the infrared thermal imager in the thermal generation module acquires object shape information and temperature distribution information. It then uses the Sobel edge detection algorithm and the Canny edge detection algorithm to extract the object's edge lines. Because the Sobel edge detection algorithm is faster, it will complete the extraction of the object's edge lines first, thus outlining the object's shape. Next, the Canny edge detection algorithm will complete the extraction of the object's edge lines. Then, the differences between the edge lines extracted by the Sobel and Canny edge detection algorithms are analyzed to determine whether these differences will affect the outlined shape. Let the line difference be X. 异 Let the threshold for the difference in influence be X. 阈 Let S be the edge line information extracted by the Sobel edge detection algorithm. L Let C be the edge line information extracted by the Canny edge detection algorithm. L Let N be the number of edge line information extracted;

[0019]

[0020] When X 异 <X 阈 At that time, the difference in lines will not affect the shape of the outline, so the shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape;

[0021] When X 异 ≥X 阈 When differences in lines affect the shape of the outline, the edge lines extracted by the Canny edge detection algorithm are used to modify the shape of the outlined object. Then, the shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape.

[0022] As a further aspect of the present invention: the area control module can receive information processed by the thermal sensing generation module. After acquiring the pedestrian flow information in different areas, the area control module will also acquire the pedestrian flow information in different time periods, analyze the time period when the pedestrian flow drops rapidly, and then differentiate the time period according to the time period to formulate different bright and dark modes for the devices before and after the time period.

[0023] Adjust the device to bright mode before that time period;

[0024] Switch the device to low-light mode after this period of time;

[0025] After analyzing the time period of rapid decline in pedestrian flow, the areas where the remaining pedestrian flow is active are determined, and a remaining percentage value is set, denoted as S. 人 Let B be the number of people in different areas. 区 Let the remaining percentage be S. 剩 Let S be the number of people whose flow corresponds to the remaining percentage. 量 ;

[0026] S 量 =S 人 ×S 剩

[0027] When S 量 ≥B 区 At that time, the devices in the corresponding area will be adjusted to dark mode;

[0028] When the S value is less than that of area B, the devices in the corresponding area will be adjusted to bright mode.

[0029] Furthermore, when defining the mode, the lighting equipment in different areas is numbered sequentially using Arabic numerals, and the start / stop permissions for lights that need to be constantly on are removed so that the system will not control them.

[0030] Bright mode means activating all the lights in the area;

[0031] Dark mode means turning off some of the lights in the area, and the turning-off pattern is intermittent. In this mode, even-numbered lights are turned on and odd-numbered lights are turned off. It also has a date-following function, so that even-numbered lights are turned on when the date is even and odd-numbered lights are turned on when the date is odd.

[0032] As a further aspect of the present invention: the pace analysis module can receive information processed by the area control module, then extract the user's walking speed information, extract the outlined image, and analyze the user type corresponding to the image, wherein the user type can be divided into toddler type, youth type, adult type, elderly type, and difficult type.

[0033] "Toddler type" refers to users who are shorter than 100 centimeters.

[0034] The "youth type" refers to users who are taller than 100 cm but shorter than 150 cm.

[0035] "Mature type" refers to users who are taller than 150 cm.

[0036] "Elderly type" refers to users whose drawn images show obvious bending.

[0037] Difficult type refers to users whose drawn images exhibit riding phenomena;

[0038] Based on the above analysis method, the user type corresponding to the outlined image can be analyzed. Then, the different regions can be further subdivided using segmentation units to generate different segment intervals.

[0039] As a further aspect of the present invention: after the segmentation unit divides different areas into different segments, it can calculate the time required for the user to walk through different segments. Let the user's walking speed be X. 走 Let X be the walking distance for different segments. 距 Let X be the time required for a user to traverse different distances. 时 Let the extension time be S. 延 ;

[0040]

[0041] Based on the above formula, the time required for a user to walk through different distances can be calculated. Then, the start-up time of the lighting equipment can be controlled according to the time required for the user to walk through different distances.

[0042] As a further aspect of the present invention: the brightness mode in the brightness isolation control module is divided into a low brightness state and a comfortable brightness state;

[0043] When there are no users in the area, the lighting equipment in the area will be adjusted to a low brightness state;

[0044] When a user is detected to be about to pass through the area, the system will extract the time required for the user to walk through different distances, then adjust the lighting in the area to a comfortable brightness level, and adjust the lighting time to a comfortable brightness level based on the time required for the user to walk through different distances.

[0045] As a further aspect of the present invention: before calculating the energy consumption ratio, the energy-saving ratio module needs to exclude the energy consumption corresponding to temporary equipment, and let the energy consumption corresponding to the normal energy consumption mode be Z. 能耗 Let L be the energy consumption used by temporary equipment during startup in normal energy consumption mode. S Let P be the number of different temporary devices in the normal energy consumption mode, and let J be the energy consumption corresponding to the energy-saving mode. 能耗 Let M be the data of different temporary devices in the energy-saving mode, and let N be the energy consumption ratio. 比 Let J be the energy consumption used when temporary equipment is started in the energy-saving mode. N ;

[0046]

[0047] The energy consumption ratio can be calculated using the above formula, making it easier for administrators to view the energy-saving effect of the energy-saving mode.

[0048] Compared with the prior art, the beneficial effects of the present invention by adopting the above technical solution are as follows:

[0049] 1. This invention provides an intuitive and detailed building model foundation for subsequent area management and control through building construction modules. By dividing areas and setting infrared thermal imagers, it can accurately analyze the degree of conformity between object shapes and human body shapes, as well as the flow of people in different areas, providing key data for area control and lighting control. This enables the monitoring of the project based on power consumption, dividing different areas into independent units, and controlling electrical equipment individually based on flow of people and time. This can effectively improve the management efficiency of electrical equipment and enable the monitoring of low-voltage engineering based on power consumption. It can also monitor users' walking speed and body posture to determine user type, and divide different distances to calculate the time users spend passing through, providing personalized basis for the brightness control of lighting equipment.

[0050] 2. This invention, through further classification of electrical equipment, enables targeted energy-saving management based on equipment energy consumption, improving energy efficiency without affecting daily use, and achieving rational allocation and efficient utilization of energy. The thermal generation module improves the accuracy and efficiency of object shape extraction and allows for different bright and dark modes for equipment at different times. It can dynamically adjust equipment operation based on actual pedestrian traffic demand, achieving on-demand energy allocation and significantly improving energy utilization efficiency. By determining the remaining pedestrian activity area and setting the remaining percentage, it further precisely controls equipment operation modes, rationally adjusting equipment status when pedestrian traffic is low to avoid energy waste.

[0051] 3. By clearly classifying user types, this invention can more accurately understand the characteristics and needs of different user groups. By using segmented units to meticulously divide different areas and calculate the time it takes for users to walk through different segments, it can provide an accurate basis for the start-up time of lighting equipment, realize intelligent control of lighting, avoid unnecessary energy waste, and improve the user experience. The intelligent brightness control method not only reduces the building's energy consumption but also extends the service life of lighting equipment and reduces maintenance costs. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the system flow in an embodiment of the present invention. Detailed Implementation

[0053] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0054] Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. Example

[0055] Therefore, in order to effectively solve the above problems, this application proposes a building intelligent monitoring system for low-voltage electrical engineering, as shown in the attached drawings of the specification. Figure 1 As shown, it includes a low-voltage data acquisition module, which is used to collect low-voltage information within the building area, as well as a building construction module, a thermal generation module, a zone control module, a speed analysis module, and a light and insulation control module.

[0056] The building construction module analyzes the types of weak current information collected, thereby obtaining the building type and electrical equipment information corresponding to the weak current information, and simultaneously obtains map information within the building area to draw two-dimensional and three-dimensional scene diagrams.

[0057] Clearly distinguish between office areas, public areas, and equipment rooms, and add detailed attribute descriptions for each area, including possible personnel density and frequency of use of electrical equipment;

[0058] The thermal generation module divides the two-dimensional and three-dimensional scene maps into regions and sets up infrared thermal imagers in the interior of different regions. At the same time, it analyzes the degree of conformity between the shape of objects entering different regions and the shape of human bodies, analyzes the flow of people in different regions, and sets a similarity threshold. When the degree of conformity between the shape of an object and the shape of human bodies is lower than the similarity threshold, it is determined that the object does not belong to the human body and the record of the corresponding object is deleted.

[0059] By analyzing the temperature distribution in different areas using thermal sensing data and combining it with pedestrian traffic information, we can predict areas where the temperature may be too high or too low, and control temperature regulation equipment such as air conditioners in advance to improve the comfort of people.

[0060] The area control module divides different areas into independent entities, acquires pedestrian flow information in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas individually based on the time arrangement units and pedestrian flow information in different areas.

[0061] The pace analysis module analyzes the user's walking speed and determines the user's type based on the user's walking speed and the user's body posture monitored by the infrared thermal imager. It then establishes segmentation units, further divides different areas into different segments, and determines the time required for the user to walk through different segments.

[0062] The brightness control module analyzes the duration of illumination of the lighting equipment within a given distance based on the time required for the user to walk through different distances. Simultaneously, it establishes brightness units for the lighting equipment. Then, based on the user type and the time required to walk through different distances, it selects different brightness modes within the brightness units and controls the lighting equipment according to the brightness modes.

[0063] Establish an intelligent dimming system to automatically adjust the brightness and color temperature of lighting equipment according to different time periods and user needs, in order to create a more comfortable lighting environment;

[0064] By combining the lighting control module with the energy management system, the energy consumption of lighting equipment can be monitored and analyzed in real time, energy waste can be detected in a timely manner, and corresponding energy-saving measures can be taken.

[0065] It also includes an anomaly monitoring module and an energy-saving ratio module;

[0066] The anomaly monitoring module extracts information from different electrical devices and obtains the power consumption status and normal power consumption range of different power consumption information under normal use conditions, and determines the probability of anomalies in electrical devices in different areas.

[0067] The energy-saving ratio module records the power consumption information of different electrical devices, obtains normal power consumption information in other two-dimensional and three-dimensional scene maps, generates normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional and three-dimensional scene maps, generates energy-saving energy consumption mode, analyzes the energy consumption ratio between energy-saving energy consumption mode and normal energy consumption mode, and analyzes the energy-saving effect of energy-saving energy consumption mode.

[0068] The specific workflow is as follows: Collect low-voltage information within the building area, analyze the types of low-voltage information, obtain the corresponding building type and electrical equipment information, draw two-dimensional and three-dimensional scene diagrams, divide the two-dimensional and three-dimensional scene diagrams into regions, analyze the pedestrian flow information in different regions, divide different regions into independent entities, control the electrical equipment in different regions individually based on the time arrangement unit and the pedestrian flow information in different regions, analyze the walking speed of users, determine the type of users, analyze the time required for users to walk different distances, select different brightness modes in the brightness unit to control the lighting equipment in different regions, determine the probability of abnormality of electrical equipment in different regions, record the power consumption information of different electrical equipment, and calculate the energy consumption ratio between the energy-saving mode and the normal energy consumption mode.

[0069] Furthermore, the building construction module provides an intuitive and detailed building model foundation for subsequent area management and control. By dividing areas and setting up infrared thermal imagers, it is possible to accurately analyze the degree of conformity between object shapes and human body shapes, as well as the flow of people in different areas. This provides key data for area control and lighting control, enabling monitoring of the project based on power consumption. Different areas can be divided into independent units, and electrical equipment can be individually controlled based on flow of people and time. This can effectively improve the management efficiency of electrical equipment and monitor low-voltage engineering based on power consumption. It can also monitor users' walking speed and posture to determine user types and calculate the time users spend passing through different segments, providing personalized basis for brightness control of lighting equipment. Example

[0070] Based on Embodiment 1, as shown in the accompanying drawings of the specification. Figure 1 As shown, after obtaining the information of electrical equipment, the building construction module further classifies the equipment according to its energy consumption range, thereby improving energy efficiency without affecting daily use. Simultaneously, it establishes mandatory start-up units. Administrators pre-select the information of electrical equipment that must be started and its corresponding start permissions into these units. Equipment in these mandatory start-up units requires manual start / stop operations by administrators. Let the energy consumption of the electrical equipment be Y. 耗 Let the threshold for energy-saving level classification be D. 日 Let M be the threshold for classifying daily levels. 亮 ;

[0071] When Y 耗 ≤D 日 At that time, the corresponding electrical equipment will be included in the energy-saving equipment category;

[0072] When D 日 <Y 耗 ≤M 亮At that time, the corresponding electrical equipment will be included in the daily equipment level;

[0073] When Y 耗 >M 亮 At that time, the corresponding electrical equipment will be included in the lighting equipment level;

[0074] The thermal imaging module receives information processed by the building construction module. The infrared thermal imager within the module, upon detecting object movement, acquires the object's shape and temperature distribution information. It then uses the Sobel and Canny edge detection algorithms to extract the object's edge lines. Because the Sobel algorithm is faster, it extracts the object's edge lines first, outlining the object's shape. Next, the Canny edge detection algorithm extracts the object's edge lines. Finally, the module analyzes the differences between the edge lines extracted by the Sobel and Canny algorithms to determine if these differences affect the outlined shape. Let the line difference be X. 异 Let the threshold for the difference in influence be X. 阈 Let S be the edge line information extracted by the Sobel edge detection algorithm. L Let C be the edge line information extracted by the Canny edge detection algorithm. L Let N be the number of edge line information extracted;

[0075]

[0076] When X 异 <X 阈 At that time, the difference in lines will not affect the shape of the outline, so the shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape;

[0077] When X 异 ≥X 阈 When the differences in lines affect the shape of the outline, the edge lines extracted by the Canny edge detection algorithm are used to modify the shape of the outlined object, and then the shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape.

[0078] By combining the object's temperature distribution characteristics, motion characteristics, etc., a comprehensive judgment can be made as to whether the object is a human body, thereby improving the accuracy of human body detection.

[0079] Predict the distribution of pedestrian traffic in the near future and adjust equipment modes in advance to improve energy efficiency;

[0080] Taking into account factors such as natural light intensity, time, and special events, the operating status of the equipment can be adjusted more flexibly.

[0081] The area control module can receive information processed by the thermal generation module. After acquiring the pedestrian flow information in different areas, the area control module will also acquire the pedestrian flow information in different time periods, analyze the time period when the pedestrian flow drops rapidly, and then differentiate the time period according to the time period, and formulate different bright mode and dark mode for the devices before and after the time period respectively.

[0082] Adjust the device to bright mode before that time period;

[0083] Switch the device to low-light mode after this period of time;

[0084] After analyzing the time period of rapid decline in pedestrian flow, the areas where the remaining pedestrian flow is active are determined, and a remaining percentage value is set, denoted as S. 人 Let B be the number of people in different areas. 区 Let the remaining percentage be S. 剩 Let S be the number of people whose flow corresponds to the remaining percentage. 量 ;

[0085] S 量 =S 人 ×S 剩

[0086] When S 量 ≥B 区 At that time, the devices in the corresponding area will be adjusted to dark mode;

[0087] When the S value is less than that of area B, the devices in the corresponding area will be adjusted to bright mode.

[0088] Furthermore, when defining the mode, the lighting equipment in different areas is numbered sequentially using Arabic numerals, and the start / stop permissions for lights that need to be constantly on are removed so that the system will not control them.

[0089] Bright mode means activating all the lights in the area;

[0090] Dark mode means turning off some of the lights in the area, and the turning off pattern is intermittent. In this mode, even-numbered lights are turned on and odd-numbered lights are turned off. It also has a date follow function set up so that even-numbered lights are turned on when the date is even and odd-numbered lights are turned on when the date is odd.

[0091] Specific workflow: Further classify electrical equipment into levels. Administrators can pre-select the information of electrical equipment that must be started and their corresponding start permissions in the mandatory start unit. Lighting equipment in the mandatory start unit will not be affected by the system. Obtain object shape information and temperature distribution information. Use Sobel edge detection algorithm and Canny edge detection algorithm to extract the edge lines of the object. Calculate the similarity threshold between the object shape and the human body shape. Analyze the time period when the flow of people drops rapidly. Then, based on this time period, perform time differentiation. Adjust the equipment to bright mode before the time period and adjust the equipment to dark mode after the time period. Determine the area of ​​remaining people activity. Control the electrical equipment in different areas according to the different remaining people flow. Set a date following function for them. When the date is even, start the even-numbered lighting equipment. When the date is odd, start the odd-numbered lighting equipment.

[0092] Furthermore, by further classifying electrical equipment, energy-saving management can be carried out in a targeted manner based on equipment energy consumption, improving energy efficiency without affecting daily use, and achieving reasonable allocation and efficient utilization of energy. The thermal generation module can improve the accuracy and efficiency of object shape extraction, and different bright and dark modes can be set for equipment at different times. The operating status of equipment can be dynamically adjusted according to actual traffic demand, realizing on-demand energy allocation and greatly improving energy utilization efficiency. By judging the remaining traffic activity area and setting the remaining percentage value, the operating mode of equipment can be further precisely controlled, and the equipment status can be reasonably adjusted when traffic is low to avoid energy waste. Example

[0093] Based on Embodiment 2, as shown in the accompanying drawings of the specification. Figure 1 As shown, the pace analysis module can receive information processed by the area control module, then extract the user's walking speed information, extract the outlined image, and analyze the user type corresponding to the image. The user type can be divided into toddler type, youth type, adult type, elderly type, and difficult type.

[0094] "Toddler type" refers to users who are shorter than 100 centimeters.

[0095] The "youth type" refers to users who are taller than 100 cm but shorter than 150 cm.

[0096] "Mature type" refers to users who are taller than 150 cm.

[0097] "Elderly type" refers to users whose drawn images show obvious bending.

[0098] Difficult type refers to users whose drawn images exhibit riding phenomena;

[0099] Based on the above analysis method, the user type corresponding to the outlined image can be analyzed, and then the different regions can be further subdivided using segmentation units to generate different segment intervals.

[0100] In addition to existing methods for identifying elderly and disabled users based on image bending and sitting phenomena, further analysis of users' walking posture, gait frequency, dwell time, and other behavioral characteristics can enrich the criteria for identifying user types.

[0101] During peak hours, the spacing between light sections can be shortened to improve the response speed of lighting control; during off-peak hours, the spacing between light sections can be appropriately increased to reduce the system's computational load and energy consumption.

[0102] By combining pressure sensors, sound sensors, and other sensors, the system can help determine the user's location and direction of movement, and further optimize the calculation of the time required for the user to walk different distances.

[0103] After dividing different areas into different segments, the segmented unit can calculate the time required for a user to walk through each segment. Let the user's walking speed be X. 走 Let X be the walking distance for different segments. 距 Let X be the time required for a user to traverse different distances. 时 Let the extension time be S. 延 ;

[0104]

[0105] Based on the above formula, the time required for a user to walk through different distances can be calculated. Then, the start-up time of the lighting equipment can be controlled according to the time required for the user to walk through different distances.

[0106] The brightness mode in the brightness control module is divided into low brightness mode and comfortable brightness mode;

[0107] When there are no users in the area, the lighting equipment in the area will be adjusted to a low brightness state;

[0108] When it is detected that a user is about to pass through the area, the time required for the user to walk through different distances will be extracted. Then, the lighting equipment in the area will be adjusted to a comfortable brightness. The time required to adjust the lighting equipment to a comfortable brightness will be adjusted according to the time required for the user to walk through different distances.

[0109] It not only adjusts the lighting to a comfortable brightness level based on user type and the time that is about to pass, but also automatically adjusts the brightness and color of the lighting based on factors such as ambient light intensity and color temperature, providing users with a more comfortable visual experience.

[0110] Before calculating the energy consumption ratio, the energy-saving ratio module needs to exclude the energy consumption corresponding to temporary equipment. Let Z be the energy consumption corresponding to the normal energy consumption mode. 能耗 Let L be the energy consumption used by temporary equipment during startup in normal energy consumption mode. S Let P be the number of different temporary devices in the normal energy consumption mode, and let J be the energy consumption corresponding to the energy-saving mode. 能耗 Let M be the data of different temporary devices in the energy-saving mode, and let N be the energy consumption ratio. 比 Let J be the energy consumption used when temporary equipment is started in the energy-saving mode. N ;

[0111]

[0112] The energy consumption ratio can be calculated using the above formula, making it easier for administrators to view the energy-saving effect of the energy-saving mode.

[0113] Let the startup time of the temporary device be Q. L Let the energy consumption of the temporary equipment be M per minute. L Let U be the number of times the temporary device is started;

[0114]

[0115] The energy consumption used when starting up temporary equipment in normal energy consumption mode can be calculated using the above formula.

[0116] Establish a real-time energy consumption monitoring system to monitor and analyze the energy consumption of various equipment in the building in real time. Through big data analysis technology, identify equipment and areas with abnormal energy consumption and take timely energy-saving measures.

[0117] The specific workflow is as follows: Analyze the user type corresponding to the image, further divide different areas into finer segments using segmentation units to generate different segment distances, calculate the time required for a user to walk through different segment distances, adjust the lighting equipment in the area to a low brightness state when there is no user in the area, control the start time of the lighting equipment according to the time required for the user to walk through different segment distances, and calculate the power consumption ratio between the normal energy consumption mode and the energy-saving mode to facilitate viewing the energy-saving effect of the energy-saving mode.

[0118] Furthermore, by clearly defining user types, we can more accurately understand the characteristics and needs of different user groups. By using segmented units to meticulously divide different areas and calculate the time it takes for users to walk through different segments, we can provide an accurate basis for the start-up time of lighting equipment, realize intelligent control of lighting, avoid unnecessary energy waste, and improve the user experience. The intelligent brightness control method not only reduces the building's energy consumption but also extends the service life of lighting equipment and reduces maintenance costs.

[0119] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A building intelligent monitoring system for low-voltage electrical engineering, comprising a low-voltage electrical data acquisition module, wherein the low-voltage electrical data acquisition module is used to acquire low-voltage electrical information within the building area, characterized in that: It also includes building construction modules, thermal generation modules, area control modules, pace analysis modules, and light and shadow control modules; The building construction module analyzes the types of weak current information collected, thereby obtaining the building type and electrical equipment information corresponding to the weak current information, and simultaneously obtains map information within the building area to draw two-dimensional and three-dimensional scene diagrams. The thermal generation module divides the two-dimensional and three-dimensional scene maps into regions and sets up infrared thermal imagers in the interior of different regions. At the same time, it analyzes the degree of conformity between the shape of objects entering different regions and the shape of human bodies, analyzes the flow of people in different regions, and sets a similarity threshold. When the conformity between the shape of an object and the shape of human bodies is lower than the similarity threshold, it is determined that the object does not belong to the human body and the record of the corresponding object is deleted. The thermal generation module receives information processed by the building construction module. The infrared thermal imager within the module, upon detecting object movement, acquires the object's shape and temperature distribution information. It then uses the Sobel and Canny edge detection algorithms to extract the object's edge lines, defining the line difference as X. 异 Let the threshold for the difference in influence be X. 阈 Let S be the edge line information extracted by the Sobel edge detection algorithm. L Let C be the edge line information extracted by the Canny edge detection algorithm. L Let N be the number of edge line information extracted; ； When X 异 <X 阈 When the differences in lines do not affect the shape of the outline, a shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape. When X 异 ≥X 阈 When the differences in lines affect the shape of the outline, the edge lines extracted by the Canny edge detection algorithm are used to modify the shape of the outlined object, and then the shape matching algorithm is used to calculate the similarity threshold between the object shape and the human body shape. The area control module divides different areas into independent entities, acquires pedestrian flow information in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas individually based on the time arrangement units and pedestrian flow information in different areas. The pace analysis module analyzes the user's walking speed and determines the user's type based on the user's walking speed and the user's body posture monitored by the infrared thermal imager. It then establishes segmentation units, further divides different areas into different segments, and determines the time required for the user to walk through different segments. The brightness control module analyzes the duration of illumination of the lighting equipment within each segment based on the time required for the user to traverse different distances. Simultaneously, it establishes brightness units for the lighting equipment. Then, based on the user type and the time required to traverse different distances, it selects different brightness modes within the brightness units and controls the lighting equipment according to the brightness modes.

2. The building intelligent monitoring system for low-voltage engineering according to claim 1, characterized in that: It also includes an anomaly monitoring module and an energy-saving ratio module; The anomaly monitoring module extracts information from different electrical devices and obtains the power consumption status and normal power consumption range of different power consumption information under normal use conditions, and determines the probability of anomalies in electrical devices in different areas. The energy-saving ratio module records the power consumption information of different electrical devices, obtains normal power consumption information in other two-dimensional and three-dimensional scene maps, generates a normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional and three-dimensional scene maps, generates an energy-saving energy consumption mode, analyzes the energy consumption ratio between the energy-saving energy consumption mode and the normal energy consumption mode, and analyzes the energy-saving effect of the energy-saving energy consumption mode.

3. The building intelligent monitoring system for low-voltage engineering according to claim 1, characterized in that: After acquiring the information of the electrical equipment, the building construction module further classifies the equipment according to its energy consumption range, thereby improving energy efficiency without affecting daily use. Simultaneously, it establishes mandatory start-up units. Administrators pre-select the information of the electrical equipment that must be started and its corresponding start permissions into these units. Equipment in these mandatory start-up units requires manual start-stop operations by administrators. Let the energy consumption of the electrical equipment be Y. 耗 Let the threshold for energy-saving level classification be D. 日 Let M be the threshold for classifying daily levels. 亮 ; When Y 耗 ≤D 日 At that time, the corresponding electrical equipment will be included in the energy-saving equipment category; When D 日 <Y 耗 ≤M 亮 At that time, the corresponding electrical equipment will be included in the daily equipment level; When Y 耗 >M 亮 At that time, the corresponding electrical equipment will be included in the lighting equipment level.

4. The building intelligent monitoring system for low-voltage engineering according to claim 1, characterized in that: The area control module can receive information processed by the thermal generation module. After acquiring the pedestrian flow information in different areas, the area control module will also acquire the pedestrian flow information in different time periods, analyze the time period when the pedestrian flow drops rapidly, and then differentiate the time period according to the time period to formulate different bright and dark modes for the devices before and after the time period. Adjust the device to bright mode before that time period; Switch the device to low-light mode after this period of time; After analyzing the time period of rapid decline in pedestrian flow, the areas where the remaining pedestrian flow is active are determined, and a remaining percentage value is set, denoted as S. 人 Let B be the number of people in different areas. 区 Let the remaining percentage be S. 剩 Let S be the number of people whose flow corresponds to the remaining percentage. 量 ; S 量 =S 人 ×S 剩 ; When S 量 ≥B 区 At that time, the devices in the corresponding area will be adjusted to dark mode; When the S value is less than that of area B, the devices in the corresponding area will be adjusted to bright mode. Furthermore, when defining the mode, the lighting equipment in different areas is numbered sequentially using Arabic numerals, and the start / stop permissions for lights that need to be constantly on are removed so that the system will not control them. Bright mode means activating all the lights in the area; Dark mode means turning off some of the lights in the area, and the turning-off pattern is intermittent. In this mode, even-numbered lights are turned on and odd-numbered lights are turned off. It also has a date-following function, so that even-numbered lights are turned on when the date is even and odd-numbered lights are turned on when the date is odd.

5. The building intelligent monitoring system for low-voltage engineering according to claim 1, characterized in that: The pace analysis module can receive information processed by the area control module, then extract the user's walking speed information, extract the outlined image, and analyze the user type corresponding to the image. The user type is divided into toddler type, youth type, adult type, elderly type, and difficult type. "Toddler type" refers to users who are shorter than 100 centimeters. The "youth type" refers to users who are taller than 100 cm but shorter than 150 cm. "Mature type" refers to users who are taller than 150 cm. "Elderly type" refers to users whose drawn images show obvious bending. Difficult type refers to users whose drawn images exhibit riding phenomena; Based on the above analysis method, the user type corresponding to the outlined image can be analyzed. Then, the different regions can be further subdivided using segmentation units to generate different segment intervals.

6. The building intelligent monitoring system for low-voltage engineering according to claim 5, characterized in that: After dividing different areas into different segments, the segmentation unit calculates the time required for the user to walk through each segment. Let the user's walking speed be X. 走 Let X be the walking distance for different segments. 距 Let X be the time required for a user to traverse different distances. 时 Let the extension time be S. 延 ; ； Based on the above formula, the time required for a user to walk through different distances can be calculated. Then, the start-up time of the lighting equipment can be controlled according to the time required for the user to walk through different distances.

7. The building intelligent monitoring system for low-voltage engineering according to claim 1, characterized in that: The brightness mode in the brightness isolation control module is divided into a low brightness state and a comfortable brightness state. When there are no users in the area, the lighting equipment in the area will be adjusted to a low brightness state; When a user is detected to be about to pass through the area, the system will extract the time required for the user to walk through different distances, then adjust the lighting in the area to a comfortable brightness level, and adjust the lighting time to a comfortable brightness level based on the time required for the user to walk through different distances.

8. A building intelligent monitoring system for low-voltage engineering according to claim 2, characterized in that: Before calculating the energy consumption ratio, the energy-saving ratio module needs to exclude the energy consumption corresponding to temporary equipment. Let Z be the energy consumption corresponding to the normal energy consumption mode. 能耗 Let L be the energy consumption used by temporary equipment during startup in normal energy consumption mode. S Let P be the number of different temporary devices in the normal energy consumption mode, and let J be the energy consumption corresponding to the energy-saving mode. 能耗 Let M be the data of different temporary devices in the energy-saving mode, and let N be the energy consumption ratio. 比 Let J be the energy consumption used when temporary equipment is started in the energy-saving mode. N ; ； The energy consumption ratio can be calculated using the above formula, making it easier for administrators to view the energy-saving effect of the energy-saving mode.

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