Building intelligent monitoring system for weak current engineering

Abstract

The invention, which relates to the technical field of weak current engineering, discloses an intelligent building monitoring system for weak current engineering, comprising a building construction module, a thermal inductance generation module, an area control module, a speed setting analysis module and a brightness interval control module, and also comprising an abnormity monitoring module and an energy-saving ratio module. The system has the advantages that a visual and detailed building model foundation can be provided for subsequent area management and control through the building construction module, the conformity degree of the object shape and the human body shape and people flow information of different areas are accurately analyzed, key data are provided for area control, illumination control and the like, and the system is suitable for large-scale popularization and application. The weak current engineering is monitored according to the power utilization condition, the power utilization equipment is independently controlled according to the pedestrian flow information and the time arrangement unit, the management efficiency of the power utilization equipment can be effectively improved, the walking speed and posture of a user are monitored, the type of the user is judged, and a personalized basis is provided for brightness control of lighting equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of weak current engineering, and in particular to an intelligent building monitoring system for weak current engineering. Background Art

[0002] Building is a general term for buildings and structures. It is an artificial environment created by people to meet the needs of social life, using the material and technical means they have mastered, and applying certain scientific laws and aesthetic principles. Weak current engineering is a classification of power application. Power application can be divided into strong power and weak power according to the strength of power transmission. The power used in buildings and building complexes generally refers to weak current below AC 220V50Hz, which mainly provides power energy to people and converts electric energy into other energy sources;

[0003] The common building intelligent monitoring system for weak current engineering on the market cannot accurately analyze the degree of conformity between objects and human shapes when in use, resulting in inaccurate statistics of human flow information. When the layout or human flow distribution in the building changes, the monitoring strategy cannot be adjusted in time. When the human flow changes or the demand in a specific area is different, accurate energy management cannot be achieved, resulting in energy waste. For this reason, we propose a building intelligent monitoring system for weak current engineering. Summary of the invention

[0004] The purpose of the present invention is to provide a building intelligent monitoring system for weak current engineering.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: an intelligent monitoring system for buildings used in weak current engineering, comprising a weak current collection module, the weak current collection module is used to collect weak current information within the building, and also comprises a building construction module, a thermal sensing generation module, a regional control module, a speed analysis module and a light partition control module;

[0006] The building construction module analyzes the types of weak current information according to the collected weak current information, thereby obtaining the building type and electrical equipment information corresponding to the weak current information, and simultaneously obtains the map information within the building area, and draws two-dimensional scene graphs and three-dimensional scene graphs;

[0007] The thermal sensing generation module divides the two-dimensional scene graph and the three-dimensional scene graph into regions, and sets infrared thermal imagers inside different regions. At the same time, it analyzes the degree of conformity between the shapes of objects entering different regions and the human body shape, analyzes the flow of people in different regions, and sets a human shape threshold. When the degree of conformity between the shape of an object and the human body state is lower than the human shape threshold, it is determined that the object does not belong to the human range, and then the record of the corresponding object will be deleted;

[0008] The regional control module divides different areas into independent individuals, obtains the flow of people in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas separately according to the time arrangement units and the flow of people 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 shape monitored by the infrared thermal imager. It also establishes segmentation units, and then further divides different areas into different segments to determine the time required for the user to complete different segments.

[0010] The brightness control module analyzes the time that the lighting equipment in the section is bright according to the time required for the user to complete different distances, and establishes brightness units for the lighting equipment. At this time, different brightness modes in the brightness unit are selected according to the type of user and the time required to complete different distances, and the lighting equipment is controlled according to the brightness mode.

[0011] As a further solution of the present invention: it also includes an abnormality monitoring module and an energy saving ratio module;

[0012] The abnormal monitoring module extracts information of different electrical equipment, obtains the power consumption status and normal power consumption range of different power consumption information under normal use, and determines the probability of abnormality of electrical equipment in different areas;

[0013] The energy-saving ratio module records the power consumption information of different electrical equipment, obtains the normal power consumption information in other two-dimensional scene graphs and three-dimensional scene graphs, generates a normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional scene graph and three-dimensional scene graph, 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 solution of the present invention: after obtaining the information of the electrical equipment, the building construction module will further classify the electrical equipment according to the energy consumption range of the electrical equipment, so as to improve the energy saving degree without affecting the daily use, and at the same time establish a must-start unit. The administrator puts the information of the electrical equipment that must be started and the corresponding start permissions in the must-start unit in advance. The electrical equipment placed in the must-start unit needs to be manually started and stopped by the administrator. Suppose the energy consumption of the electrical equipment is Y 耗 , assuming that the energy-saving level classification threshold is D 日 , let the daily level division threshold be M 亮 ;

[0015] When Y 耗 ≤D 日 When the corresponding electrical equipment is included in the energy-saving equipment level;

[0016] When D日 <Y 耗 ≤M 亮 When the corresponding electrical equipment is included in the daily equipment level;

[0017] When Y 耗 >M 亮 When lighting is turned on, the corresponding electrical equipment is included in the lighting equipment level.

[0018] As a further solution of the present invention: the thermal sensing generation module can receive information processed by the building construction module. After detecting the movement of the object, the infrared thermal imager set in the thermal sensing generation module will obtain the shape information and temperature distribution information of the object, and use the Sobel edge detection algorithm and the Canny edge detection algorithm to extract the edge lines of the object. Since the Sobel edge detection algorithm is faster, the Sobel edge detection algorithm will first complete the extraction of the edge lines of the object, and then outline the shape of the object. At this time, the Canny edge detection algorithm will complete the extraction of the edge lines of the object, and then analyze the line difference between the edge lines extracted by the Sobel edge detection algorithm and the edge lines extracted by the Canny edge detection algorithm to determine whether the line difference will affect the outlined shape. Let the line difference be X 异 , let the difference impact threshold be X 阈 , let the edge line information extracted by the Sobel edge detection algorithm be S L , let the edge line information extracted by the Canny edge detection algorithm be C L , let the number of edge line information extracted be N;

[0019]

[0020] When X 异 <X 阈 When the line difference does not affect the outlined shape, the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline;

[0021] When X 异 ≥X 阈 When the line difference affects the outlined shape, the edge lines extracted by the Canny edge detection algorithm are used to modify the outlined object shape, and then the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline.

[0022] As a further solution of the present invention: the area control module can receive information processed by the thermal sensing generation module. After obtaining the information of the flow of people in different areas, the area control module will also synchronously obtain the information of the flow of people in different time periods, analyze the time period when the flow of people drops rapidly, and then perform time differentiation according to the time period, and formulate different bright mode and dark mode for the equipment before and after the time period respectively;

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

[0024] Adjust the device to dim mode after this period of time;

[0025] After analyzing the time period when the flow of people drops rapidly, we determine the area where the remaining flow of people is active, and set the remaining proportion value. Let the number of remaining people be S 人 , let the number of people flow in different areas be B 区 , let the remaining proportion be S 剩 , let the number of people flow corresponding to the remaining proportion be S 量 ;

[0026] S 量 =S 人 ×S 剩

[0027] When S 量 ≥B 区 When the device in the corresponding area is in dim mode,

[0028] When S 量 区 When the device in the corresponding area is in bright mode,

[0029] When formulating the mode, the lighting equipment in different areas are numbered in Arabic numerals, and the start and close permissions of the lights that need to be always on are removed so that the system will not control them.

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

[0031] Dark mode means turning off part of the lights in the area, and the turning-off pattern is intermittent. At this time, the lighting devices with even numbers are turned on, and the lighting devices with odd numbers are turned off. At the same time, a date following function is set for it. When the date of the day is an even number, the lighting devices with even numbers are turned on, and when the date of the day is an odd number, the lighting devices with odd numbers are turned on.

[0032] ​As a further solution 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 infant type, youth type, middle-aged type, elderly type and difficult type;

[0033] Infant type refers to users with a height of less than 100 cm;

[0034] Youth type refers to users whose height is higher than 100 cm but lower than 150 cm;

[0035] The middle-aged type refers to users with a height higher than 150 cm;

[0036] Elderly type refers to users whose outlined images have obvious bends;

[0037] The difficult type refers to users whose outlined images show riding phenomena;

[0038] According to the above analysis method, the user type corresponding to the outlined image can be analyzed, and then the segmentation unit is used to further divide different areas into fine parts, thereby generating different segment distances.

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

[0040]

[0041] According to the above formula, the time required for the user to walk different distances can be calculated. At this time, the start time of the lighting equipment can be controlled according to the time required for the user to walk different distances.

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

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

[0044] When it is detected that a user is about to pass through the area, the time required for the user to complete different distances will be extracted, and then the lighting equipment in the area will be adjusted to a comfortable brightness state. The time required for adjusting the lighting equipment to a comfortable brightness state will be adjusted according to the time required for the user to complete different distances.

[0045] As a further solution of the present invention: before calculating the energy consumption ratio, the energy saving ratio module needs to eliminate the energy consumption corresponding to the temporary equipment, and set the energy consumption corresponding to the normal energy consumption mode as Z 能耗 , assuming that the energy consumption used when the temporary device is started in the normal energy consumption mode is L S , let the number of different temporary devices in the normal energy consumption mode be P, let the energy consumption corresponding to the energy-saving energy consumption mode be J 能耗 , let the data of different temporary devices in energy-saving mode be M, let the energy consumption ratio be N 比 , assuming that the energy consumption used when the temporary equipment is started in the energy-saving mode is J N ;

[0046]

[0047] The energy consumption ratio can be calculated according to the above formula, so that the administrator can check the energy saving effect of the energy-saving mode.

[0048] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0049] 1. The present invention can provide an intuitive and detailed building model foundation for subsequent regional management and control through the building construction module. By dividing the area and setting the infrared thermal imager, the conformity between the shape of the object and the shape of the human body and the flow of people in different areas can be accurately analyzed, providing key data for regional control and lighting control, so that the project can be monitored according to the power consumption situation, and different areas can be divided into independent individuals. The power-consuming equipment can be individually controlled according to the flow of people information and time arrangement units, which can effectively improve the management efficiency of the power-consuming equipment, and the weak current project can be monitored according to the power consumption situation, the user's walking speed and body shape can be monitored to determine the user type, and different segment distances can be divided to calculate the user's passing time, providing a personalized basis for the brightness control of the lighting equipment;

[0050] 2. The present invention can carry out targeted energy-saving management according to the energy consumption of the equipment through further classification of electrical equipment, improve the degree of energy saving without affecting daily use, and realize the reasonable allocation and efficient use of energy. The accuracy and efficiency of object shape extraction can be improved through the thermal sensing generation module, and different bright modes and dark modes can be formulated for equipment in different time periods. The equipment operation state can be dynamically adjusted according to the actual flow of people demand, and energy can be allocated on demand, which greatly improves the energy utilization efficiency. By judging the remaining flow of people activity area and setting the remaining proportion value, the equipment operation mode can be further accurately controlled, and the equipment state can be reasonably adjusted when the flow of people is small to avoid energy waste;

[0051] 3. The present invention can more accurately understand the characteristics and needs of different user groups by clearly dividing user types. It uses segmentation units to divide different areas in detail and calculate the time it takes for users to walk different distances. 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 user experience. The intelligent brightness control method not only reduces the energy consumption of the building, but also extends the service life of the lighting equipment and reduces maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

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

[0054] In addition, 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.

[0055] Embodiment 1:

[0056] Therefore, in order to effectively solve the above problems, the present application proposes a building intelligent monitoring system for weak current engineering, as shown in the accompanying drawings of the specification. Figure 1 As shown, it includes a weak current collection module, which is used to collect weak current information within the building, and also includes a building construction module, a thermal generation module, a regional control module, a speed analysis module and a light partition control module;

[0057] The building construction module analyzes the types of weak current information according to the collected weak current information, thereby obtaining the building type and electrical equipment information corresponding to the weak current information, and simultaneously obtains the map information within the building area, and draws two-dimensional scene graphs and three-dimensional scene graphs;

[0058] Clearly distinguish office areas, public areas, equipment rooms, etc., and add detailed attribute descriptions for each area, including possible population density, usage frequency of electrical equipment, etc.;

[0059] The thermal sensing generation module divides the two-dimensional scene graph and the three-dimensional scene graph into regions, and sets infrared thermal imagers inside different regions. At the same time, it analyzes the degree of conformity between the shapes of objects entering different regions and the human body shape, analyzes the flow of people in different regions, and sets a human shape threshold. When the degree of conformity between the shape of an object and the human body state is lower than the human shape threshold, it is determined that the object does not belong to the human range, and then the record of the corresponding object will be deleted;

[0060] Use thermal data to analyze the temperature distribution in different areas, combine it with the flow of people information, predict areas where the temperature may be too high or too low, and control temperature control equipment such as air conditioners in advance to improve the comfort of personnel;

[0061] The regional control module divides different areas into independent individuals, obtains the flow of people in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas separately according to the time arrangement units and the flow of people in different areas;

[0062] 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 shape monitored by the infrared thermal imager. It also establishes segmentation units, and then further divides different areas into different segments to determine the time required for the user to complete different segments.

[0063] The brightness control module analyzes the time when the lighting equipment in the road section is bright according to the time required for users to walk different distances, and establishes brightness units for the lighting equipment. At this time, different brightness modes in the brightness unit are selected according to the type of user and the time required to walk different distances, and the lighting equipment is controlled according to the brightness mode;

[0064] Establish an intelligent dimming system to automatically adjust the brightness and color temperature of lighting equipment according to different time periods and user needs to create a more comfortable light environment;

[0065] Combine the light-insulation control module with the energy-saving management system to monitor and analyze the energy consumption of lighting equipment in real time, discover energy waste in time, and take corresponding energy-saving measures;

[0066] It also includes an abnormality monitoring module and an energy saving ratio module;

[0067] The abnormal monitoring module extracts information of different electrical equipment, obtains the power consumption status and normal power consumption range of different power consumption information under normal use, and determines the probability of abnormality of electrical equipment in different areas;

[0068] The energy-saving ratio module records the power consumption information of different power-consuming devices, obtains the normal power consumption information in other two-dimensional scene graphs and three-dimensional scene graphs, generates a normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional scene graph and three-dimensional scene graph, 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;

[0069] Specific workflow: Collect weak current information within the building, analyze the types of weak current information, obtain the building type and power equipment information corresponding to the weak current information, draw two-dimensional scene graphs and three-dimensional scene graphs, divide the two-dimensional scene graphs and three-dimensional scene graphs into regions, analyze the flow of people in different regions, divide different regions into independent individuals, and control the power equipment in different regions separately according to the time arrangement unit and the flow of people in different regions. Analyze the walking speed of users, determine the type of users, and 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 abnormalities of power equipment in different regions, record the power consumption information of different power equipment, and calculate the energy consumption ratio between the energy-saving energy consumption mode and the normal energy consumption mode;

[0070] Furthermore, the building construction module can provide an intuitive and detailed building model foundation for subsequent regional management and control. Through regional division and the setting of infrared thermal imagers, the degree of conformity between the shape of objects and the shape of the human body and the flow of people in different areas can be accurately analyzed, providing key data for regional control and lighting control, so that the project can be monitored according to the power consumption situation, and different areas can be divided into independent individuals. The electrical equipment can be individually controlled according to the flow of people information and time layout units, which can effectively improve the management efficiency of electrical equipment. It can also monitor weak current projects according to the power consumption situation, monitor the user's walking speed and posture to determine the user type, and divide different sections to calculate the user's passing time, providing a personalized basis for the brightness control of lighting equipment.

[0071] Embodiment 2:

[0072] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown in the figure, after obtaining the information of electrical equipment, the building construction module will further classify the electrical equipment according to the energy consumption range of the electrical equipment, so as to improve the energy saving degree without affecting daily use. At the same time, a must-start unit is established. The administrator puts the information of the electrical equipment that must be started and the corresponding start permissions in the must-start unit in advance. The electrical equipment placed in the must-start unit requires manual start and stop operations by the administrator. Suppose the energy consumption of the electrical equipment is Y 耗 , assuming that the energy-saving level classification threshold is D 日 , let the daily level division threshold be M 亮 ;

[0073] When Y 耗 ≤D 日 When the corresponding electrical equipment is included in the energy-saving equipment level;

[0074] When D 日 <Y 耗 ≤M亮 When the corresponding electrical equipment is included in the daily equipment level;

[0075] When Y 耗 >M 亮 When the corresponding electrical equipment is included in the bright equipment level;

[0076] The thermal generation module can receive the information processed by the building construction module. After detecting the movement of the object, the infrared thermal imager set in the thermal generation module will obtain the shape information and temperature distribution information of the object, and use the Sobel edge detection algorithm and the Canny edge detection algorithm to extract the edge lines of the object. Because the Sobel edge detection algorithm is faster, the Sobel edge detection algorithm will first complete the extraction of the edge lines of the object, and then outline the shape of the object. At this time, the Canny edge detection algorithm will complete the extraction of the edge lines of the object, and then analyze the line difference between the edge lines extracted by the Sobel edge detection algorithm and the edge lines extracted by the Canny edge detection algorithm to determine whether the line difference will affect the outlined shape. Let the line difference be X 异 , let the difference impact threshold be X 阈 , let the edge line information extracted by the Sobel edge detection algorithm be S L , let the edge line information extracted by the Canny edge detection algorithm be C L , let the number of edge line information extracted be N;

[0077]

[0078] When X 异 <X 阈 When the line difference does not affect the outlined shape, the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline;

[0079] When X 异 ≥X 阈 When the line difference affects the outlined shape, the edge lines extracted by the Canny edge detection algorithm are used to modify the outlined object shape, and then the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline.

[0080] Combine the temperature distribution characteristics and motion characteristics of the object to comprehensively judge whether the object is a human body, thereby improving the accuracy of human body detection;

[0081] Predict the distribution of passenger flow in the future, adjust equipment mode in advance, and improve energy efficiency;

[0082] Consider natural light intensity, time factors, special events, etc., and adjust the equipment operation status more flexibly;

[0083] The area control module can receive the information processed by the thermal sensing generation module. After obtaining the flow of people in different areas, the area control module will also synchronously obtain the flow of people in different time periods, analyze the time period when the flow of people drops rapidly, and then perform time differentiation according to the time period, and formulate different bright mode and dark mode for the equipment before and after the time period respectively;

[0084] Adjust the device to bright mode before this time period;

[0085] Adjust the device to dim mode after this period of time;

[0086] After analyzing the time period when the flow of people drops rapidly, we determine the area where the remaining flow of people is active, and set the remaining proportion value. Let the number of remaining people be S 人 , let the number of people flow in different areas be B 区 , let the remaining proportion be S 剩 , let the number of people flow corresponding to the remaining proportion be S 量 ;

[0087] S 量 =S 人 ×S 剩

[0088] When S 量 ≥B 区 When the device in the corresponding area is in dim mode,

[0089] When S 量 区 When the device in the corresponding area is in bright mode,

[0090] When formulating the mode, the lighting equipment in different areas are numbered in Arabic numerals, and the start and close permissions of the lights that need to be always on are removed so that the system will not control them.

[0091] Bright mode means turning on all lights in the area;

[0092] Dark mode means turning off part of the lights in the area, and the turning-off rule is interval-type turning-off. At this time, the even-numbered lights are turned on, and the odd-numbered lights are turned off. At the same time, a date-following function is set for it. When the date of the day is even, the even-numbered lights are turned on, and when the date of the day is odd, the odd-numbered lights are turned on.

[0093] ​Specific workflow: further classify the electrical equipment, the administrator can put the information of the electrical equipment that must be started and the corresponding startup permissions in the must-start unit in advance, and the lighting equipment in the must-start unit will not be affected by the system, obtain the shape information and temperature distribution information of the object, use the Sobel edge detection algorithm and the Canny edge detection algorithm to extract the edge lines of the object, calculate the similarity index between the object contour and the human body contour, analyze the time period when the flow of people drops rapidly, and then perform time differentiation according to the time period, adjust the equipment to bright mode before the time period, and adjust the equipment to dark mode after the time period, determine the area where the remaining flow of people is active, control the electrical equipment in different areas according to the different remaining flow of people, set the date following function for it, when the date of the day is an even number, start the lighting equipment with the even number, and when the date of the day is an odd number, start the lighting equipment with the odd number;

[0094] Furthermore, through further classification of electrical equipment, energy-saving management can be carried out in a targeted manner according to the energy consumption of the equipment, and the degree of energy saving can be improved without affecting daily use, thereby achieving reasonable allocation and efficient utilization of energy. The thermal sensing generation module can improve the accuracy and efficiency of object shape extraction, and different bright modes and dark modes can be formulated for equipment in different time periods. The equipment operation status can be dynamically adjusted according to actual pedestrian flow demand, and energy can be allocated on demand, which greatly improves energy utilization efficiency. By judging the remaining pedestrian flow activity area and setting the remaining proportion value, the equipment operation mode can be further accurately controlled, and the equipment status can be reasonably adjusted when the pedestrian flow is small to avoid energy waste.

[0095] Embodiment three:

[0096] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, the pace analysis module can receive the 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, where the user type can be divided into infant type, youth type, middle-aged type, elderly type and difficult type;

[0097] Infant type refers to users with a height of less than 100 cm;

[0098] Youth type refers to users whose height is higher than 100 cm but lower than 150 cm;

[0099] The middle-aged type refers to users with a height higher than 150 cm;

[0100] Elderly type refers to users whose outlined images have obvious bends;

[0101] The difficult type refers to users whose outlined images show riding phenomena;

[0102] According to the above analysis method, the user type corresponding to the outlined image can be analyzed, and then the segmentation unit is used to further divide different areas into fine parts, thereby generating different segment distances;

[0103] In addition to the existing image bending and riding phenomena to judge elderly and difficulty users, we can further analyze the user's walking posture, step frequency, dwell time and other behavioral characteristics to enrich the basis for judging user types;

[0104] During peak hours, the segment distance can be shortened to improve the response speed of lighting control; during off-peak hours, the segment distance can be appropriately expanded to reduce system calculation and energy consumption;

[0105] Combined with pressure sensors, sound sensors, etc., it helps determine the user's location and direction of movement, and further optimizes the calculation of the time required for the user to walk different distances;

[0106] After the segmentation unit divides different areas into different distances, it can calculate the time required for the user to walk through different distances. Suppose the user's walking speed is X 走 , let the walking distance of different segments be X 距 , let the time required for the user to complete different distances be X 时 , let the extension time be S 延 ;

[0107]

[0108] According to the above formula, the time required for the user to walk different distances can be calculated. At this time, the start time of the lighting equipment can be controlled according to the time required for the user to walk different distances.

[0109] The brightness modes in the brightness control module are divided into low brightness state and comfortable brightness state;

[0110] When there is no user in the area, the lighting equipment in the area will be adjusted to a low brightness state;

[0111] When it is detected that a user is about to pass through the area, the time required for the user to walk different distances will be extracted, and then the lighting equipment in the area will be adjusted to a comfortable brightness state, and the time required for the lighting equipment to be adjusted to a comfortable brightness state will be adjusted according to the time required for the user to walk different distances;

[0112] Not only does it adjust the light to a comfortable brightness based on the user type and the time that is about to pass, it also automatically adjusts the brightness and color of the light based on factors such as the light intensity and color temperature of the surrounding environment, providing users with a more comfortable visual experience;

[0113] Before calculating the energy consumption ratio, the energy saving ratio module needs to eliminate the energy consumption corresponding to the temporary equipment, and set the energy consumption corresponding to the normal energy consumption mode as Z 能耗 , assuming that the energy consumption used when the temporary device is started in the normal energy consumption mode is L S , let the number of different temporary devices in the normal energy consumption mode be P, let the energy consumption corresponding to the energy-saving energy consumption mode be J 能耗 , let the data of different temporary devices in energy-saving mode be M, let the energy consumption ratio be N 比 , assuming that the energy consumption used when the temporary equipment is started in the energy-saving mode is J N ;

[0114]

[0115] The energy consumption ratio can be calculated according to the above formula, so that the administrator can check the energy saving effect of the energy-saving mode.

[0116] Assume the startup time of the temporary device is Q L , assuming that the energy consumption of temporary equipment per minute is M L , let the startup times of temporary equipment be U;

[0117]

[0118] The above formula can be used to calculate the energy consumption used when temporary equipment is started in normal energy consumption mode;

[0119] 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, find equipment and areas with abnormal energy consumption and take energy-saving measures in time;

[0120] Specific workflow: Analyze the user type corresponding to the image, use the segmentation unit to further divide different areas in detail, so as to generate different segment distances, calculate the time required for users to complete different segment distances, and when there is no user in the area, adjust the lighting equipment in the area to a low brightness state. When it is detected that a user is about to pass through the area, control the start time of the lighting equipment according to the time required for users to complete different segment distances, calculate the power consumption ratio of the normal energy consumption mode and the energy-saving energy consumption mode, so as to facilitate the viewing of the energy-saving effect of the energy-saving energy consumption mode;

[0121] Furthermore, by clearly dividing user types, we can more accurately understand the characteristics and needs of different user groups. By using segmentation units to divide different areas in detail and calculate the time it takes for users to complete different distances, 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. Intelligent brightness control not only reduces the energy consumption of buildings, but also extends the service life of lighting equipment and reduces maintenance costs.

[0122] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A building intelligent monitoring system for weak current engineering, comprising a weak current acquisition module, the weak current acquisition module is used to collect weak current information within the building, characterized in that: It also includes a building construction module, a thermal sensation generation module, a zone control module, a pace analysis module, and a light barrier control module; The building construction module analyzes the types of weak current information according to the collected weak current information, thereby obtaining the building type and electrical equipment information corresponding to the weak current information, and simultaneously obtains the map information within the building area, and draws two-dimensional scene graphs and three-dimensional scene graphs; The thermal sensing generation module divides the two-dimensional scene graph and the three-dimensional scene graph into regions, and sets infrared thermal imagers inside different regions. At the same time, it analyzes the degree of conformity between the shapes of objects entering different regions and the human body shape, analyzes the flow of people in different regions, and sets a human shape threshold. When the degree of conformity between the shape of an object and the human body state is lower than the human shape threshold, it is determined that the object does not belong to the human range, and then the record of the corresponding object will be deleted; The regional control module divides different areas into independent individuals, obtains the flow of people in different areas, establishes time arrangement units, and then controls the electrical equipment in different areas separately according to the time arrangement units and the flow of people 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 shape monitored by the infrared thermal imager. It also establishes segmentation units, and then further divides different areas into different segments to determine the time required for the user to complete different segments. The brightness control module analyzes the time that the lighting equipment in the section is bright according to the time required for the user to complete different distances, and establishes brightness units for the lighting equipment. At this time, different brightness modes in the brightness unit are selected according to the type of user and the time required to complete different distances, and the lighting equipment is controlled according to the brightness mode.

2. The intelligent building monitoring system for weak current engineering according to claim 1 is characterized in that: It also includes an abnormality monitoring module and an energy saving ratio module; The abnormal monitoring module extracts information of different electrical equipment, obtains the power consumption status and normal power consumption range of different power consumption information under normal use, and determines the probability of abnormality of electrical equipment in different areas; The energy-saving ratio module records the power consumption information of different electrical equipment, obtains the normal power consumption information in other two-dimensional scene graphs and three-dimensional scene graphs, generates a normal energy consumption mode, extracts different power consumption mode information in the current two-dimensional scene graph and three-dimensional scene graph, 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 intelligent building monitoring system for weak current engineering according to claim 1 is characterized by: After obtaining the information of electrical equipment, the building construction module will further classify the electrical equipment according to the energy consumption range of the electrical equipment, so as to improve the energy saving degree without affecting daily use. At the same time, a must-start unit is established. The administrator puts the information of the electrical equipment that must be started and the corresponding start permissions in the must-start unit in advance. The electrical equipment placed in the must-start unit requires manual start and stop operations by the administrator. Suppose the energy consumption of the electrical equipment is Y 耗 , assuming that the energy-saving level classification threshold is D 日 , let the daily level division threshold be M 亮 ; When Y 耗 ≤D 日 When the corresponding electrical equipment is included in the energy-saving equipment level; When D 日 <Y 耗 ≤M 亮 When the corresponding electrical equipment is included in the daily equipment level; When Y 耗 >M 亮 When lighting is turned on, the corresponding electrical equipment is included in the lighting equipment level.

4. The intelligent building monitoring system for weak current engineering according to claim 3 is characterized by: The thermal sensing generation module can receive information processed by the building construction module. After detecting the movement of the object, the infrared thermal imager set in the thermal sensing generation module will obtain the shape information and temperature distribution information of the object, and use the Sobel edge detection algorithm and the Canny edge detection algorithm to extract the edge lines of the object. Since the Sobel edge detection algorithm is faster, the Sobel edge detection algorithm will first complete the extraction of the edge lines of the object, and then outline the shape of the object. At this time, the Canny edge detection algorithm will complete the extraction of the edge lines of the object, and then analyze the line difference between the edge lines extracted by the Sobel edge detection algorithm and the edge lines extracted by the Canny edge detection algorithm to determine whether the line difference will affect the outlined shape. Let the line difference be X 异 , let the difference impact threshold be X 阈 , let the edge line information extracted by the Sobel edge detection algorithm be S L , let the edge line information extracted by the Canny edge detection algorithm be C L , let the number of edge line information extracted be N; When X 异 <X 阈 When the line difference does not affect the outlined shape, the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline; When X 异 ≥X 阈 When the line difference affects the outlined shape, the edge lines extracted by the Canny edge detection algorithm are used to modify the outlined object shape, and then the shape matching algorithm is used to calculate the similarity index between the object outline and the human body outline.

5. The intelligent building monitoring system for weak current engineering according to claim 4 is characterized by: The area control module can receive information processed by the thermal sensing generation module. After obtaining the flow of people information in different areas, the area control module will also synchronously obtain the flow of people information in different time periods, analyze the time period when the flow of people drops rapidly, and then perform time differentiation according to the time period, and formulate different bright mode and dark mode for the equipment before and after the time period respectively; Adjust the device to bright mode before this time period; Adjust the device to dim mode after this period of time; After analyzing the time period when the flow of people drops rapidly, we determine the area where the remaining flow of people is active, and set the remaining proportion value. Let the number of remaining people be S 人 , let the number of people flow in different areas be B 区 , let the remaining proportion be S 剩 , let the number of people flow corresponding to the remaining proportion be S 量 ; S 量 =S 人 ×S 剩 When S 量 ≥B 区 When the device in the corresponding area is in dim mode, When S 量 区 When the device in the corresponding area is in bright mode,​ When formulating the mode, the lighting equipment in different areas are numbered in Arabic numerals, and the start and close permissions of the lights that need to be always on are removed so that the system will not control them. Bright mode means turning on all lights in the area; Dark mode means turning off part of the lights in the area, and the turning-off pattern is intermittent. At this time, the lighting devices with even numbers are turned on, and the lighting devices with odd numbers are turned off. At the same time, a date following function is set for it. When the date of the day is an even number, the lighting devices with even numbers are turned on, and when the date of the day is an odd number, the lighting devices with odd numbers are turned on.

6. The intelligent building monitoring system for weak current engineering according to claim 5 is characterized by: 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, where the user type can be divided into infant type, youth type, middle-aged type, elderly type and difficult type; Infant type refers to users with a height of less than 100 cm; Youth type refers to users whose height is higher than 100 cm but lower than 150 cm; The middle-aged type refers to users with a height higher than 150 cm; Elderly type refers to users whose outlined images have obvious bends; The difficult type refers to users whose outlined images show riding phenomena; According to the above analysis method, the user type corresponding to the outlined image can be analyzed, and then the segmentation unit is used to further divide different areas into fine parts, thereby generating different segment distances.

7. The intelligent building monitoring system for weak current engineering according to claim 6 is characterized by: After the segmentation unit divides different areas into different distances, it can calculate the time required for the user to walk through different distances. Suppose the walking speed of the user is X 走 , let the walking distance of different segments be X 距 , let the time required for the user to complete different distances be X 时 , let the extension time be S 延 ; According to the above formula, the time required for the user to walk different distances can be calculated. At this time, the start time of the lighting equipment can be controlled according to the time required for the user to walk different distances.

8. The intelligent building monitoring system for weak current engineering according to claim 1 is characterized by: The brightness mode in the brightness control module is divided into a low brightness state and a comfortable brightness state; When there is no user in the area, the lighting equipment in the area will be adjusted to a low brightness state; When it is detected that a user is about to pass through the area, the time required for the user to complete different distances will be extracted, and then the lighting equipment in the area will be adjusted to a comfortable brightness state. The time required for adjusting the lighting equipment to a comfortable brightness state will be adjusted according to the time required for the user to complete different distances.

9. The intelligent building monitoring system for weak current engineering according to claim 2 is characterized by: Before calculating the energy consumption ratio, the energy saving ratio module needs to remove the energy consumption corresponding to the temporary equipment, and set the energy consumption corresponding to the normal energy consumption mode as Z 能耗 , assuming that the energy consumption used when the temporary device is started in the normal energy consumption mode is L S , let the number of different temporary devices in the normal energy consumption mode be P, let the energy consumption corresponding to the energy-saving energy consumption mode be J 能耗 , let the data of different temporary devices in energy-saving mode be M, let the energy consumption ratio be N 比 , assuming that the energy consumption used when the temporary equipment is started in the energy-saving mode is J N ; The energy consumption ratio can be calculated according to the above formula, so that the administrator can check the energy saving effect of the energy-saving mode.

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