Comprehensive intelligent building management energy-saving method and device based on passenger flow density

Abstract

The present invention relates to a comprehensive intelligent building management energy-saving method and device based on passenger flow density, the method comprising: obtaining passenger flow data of each area inside the building; obtaining a thermal map of each area based on the passenger flow data; and adjusting ventilation and lighting of the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amount is obtained based on the use status of the ventilation and lighting system corresponding to the preset thermal map. The passenger flow of each area can be monitored, the passenger flow data can be obtained, and then a thermal map of each area can be created based on the passenger flow data. After the thermal map is obtained, the ventilation and lighting systems corresponding to the thermal map are associated according to the actual situation, that is, the ventilation and lighting systems of the area corresponding to the thermal map are adjusted to the corresponding degree when the thermal map reaches a certain color and degree. The energy-saving system can be applied to various reasons such as the increase or decrease of passenger flow caused by weather or holding activities, and will not increase the cost burden.

Description

Technical Field

[0001] The present invention relates to the field of building intelligence, and in particular to a comprehensive intelligent building management energy-saving method and device based on passenger flow density. Background Art

[0002] At present, most old shopping malls save electricity costs through manual control or one-size-fits-all management. For example, in the hot summer, when electricity costs are high, the air conditioning temperature is adjusted to a smaller temperature difference with the outside temperature or the air conditioning is turned off directly. Lighting is even more difficult to control. Many shopping malls can only turn it on or off, and most shopping malls will choose to open it all day from opening to closing. In fact, in many time periods, the mall only has 10% to 20% of the expected customer flow.

[0003] The above-mentioned single lighting and temperature control methods are far from enough in today's rapidly changing era. Due to various reasons such as weather or events, the flow of people in the relevant area may change dramatically. And using manual control of these non-on-off devices increases the cost burden under today's labor costs. Summary of the invention

[0004] Based on this, it is necessary to provide an energy-saving method and device for comprehensive intelligent building management based on passenger flow density to address the above technical problems. The energy-saving system can be applied to various reasons such as increase or decrease in passenger flow caused by weather or events, without increasing the cost burden.

[0005] The present invention provides a comprehensive intelligent building management energy-saving method based on passenger flow density, comprising:

[0006] Obtain passenger flow data for each area inside the building;

[0007] Obtaining a heat map of each area based on the passenger flow data;

[0008] Ventilation and lighting are adjusted for the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset thermal map.

[0009] In one embodiment, the step of obtaining passenger flow data of each area inside the building further includes:

[0010] Divide the areas in the building and arrange cameras according to the divided areas;

[0011] The cameras are divided based on the actual entry and exit logic relationship to count the number of people entering and leaving the area.

[0012] In one embodiment, obtaining passenger flow data of each area inside the building includes:

[0013] Calculate the passenger flow in the area based on the in-and-out volume in the area acquired by the camera;

[0014] The passenger flow data in the current area is uploaded at set intervals.

[0015] In one embodiment, the step of adjusting ventilation and lighting of an area corresponding to the heat map according to the heat map further includes:

[0016] Set up correlation between ventilation and lighting systems based on the color and depth of the heat map;

[0017] Based on the association between the thermal map and the ventilation system and the lighting system, the change amount between each stage of the thermal map and the adjustment amount of the ventilation system and the lighting system related to the change amount of the thermal map are determined.

[0018] In one embodiment, the step of adjusting ventilation and lighting of an area corresponding to the thermal map according to the thermal map includes:

[0019] Determine the corresponding adjustment amount of the ventilation system and the lighting system based on the change amount of the thermal map in adjacent time periods;

[0020] The ventilation system and the lighting system are adjusted according to their corresponding adjustment amounts.

[0021] In one embodiment, the system further comprises:

[0022] The camera is updated online at the target time point to ensure the accuracy of the data collected by the camera based on timeliness.

[0023] In one embodiment, an NTP server is used to calibrate the time of the camera.

[0024] In one embodiment, a single camera is used to capture a small area;

[0025] For large areas, multiple cameras are placed at the entrance and exit for shooting, or a ceiling camera with a large shooting range is used.

[0026] The present invention also provides a comprehensive intelligent building management energy-saving device based on passenger flow density, comprising:

[0027] An acquisition module is used to obtain passenger flow data of various areas inside the building;

[0028] A determination module, used to obtain a heat map of each area based on the passenger flow data;

[0029] A setting module is used to adjust ventilation and lighting of the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the use status of the ventilation and lighting systems corresponding to the preset thermal map.

[0030] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements any of the above-mentioned comprehensive intelligent building management energy-saving methods based on passenger flow density.

[0031] The above-mentioned comprehensive intelligent building management energy-saving method and device based on passenger flow density divides the shopping mall into areas according to the actual situation of the shopping mall. Since the location or goods in each area are different, there are obvious differences in passenger flow. In order to reduce the cost of ventilation and lighting, the passenger flow in each area can be monitored, and the passenger flow data can be obtained. Then, a heat map of each area can be created based on the passenger flow data. After obtaining the heat map, the ventilation and lighting systems corresponding to the heat map are associated according to the actual situation. That is, the ventilation and lighting systems of the area corresponding to the heat map are adjusted to the corresponding level when the heat map reaches a certain color and level. This energy-saving system can be applied to various reasons such as increase or decrease in passenger flow caused by weather or events, and will not increase the cost burden. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 One of the flow charts of the comprehensive intelligent building management energy-saving method based on passenger flow density provided by the present invention;

[0034] Figure 2 The second flowchart of the comprehensive intelligent building management energy-saving method based on passenger flow density provided by the present invention;

[0035] Figure 3 The third flowchart of the comprehensive intelligent building management energy-saving method based on passenger flow density provided by the present invention;

[0036] Figure 4 Flow chart 4 of the comprehensive intelligent building management energy-saving method based on passenger flow density provided by the present invention;

[0037] Figure 5 Flow chart 5 of the comprehensive intelligent building management energy-saving method based on passenger flow density provided by the present invention;

[0038] Figure 6 This is a schematic diagram of the internal area division of a building provided by the present invention.

[0039] Figure 7 This is a schematic diagram of the integrated intelligent building management energy-saving device based on passenger flow density provided by the present invention.

[0040] Figure 8 The figure is a diagram showing the internal structure of a computer device according to an embodiment. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Combine the following Figure 1-Figure 8 The present invention describes the comprehensive intelligent building management energy-saving method and device based on passenger flow density.

[0043] like Figure 1 As shown, in one embodiment, a comprehensive intelligent building management energy-saving method based on passenger flow density includes the following steps:

[0044] Step S110, obtaining passenger flow data of each area inside the building.

[0045] Specifically, in the field of building intelligence, the passenger flow counting system is the basic foundation for the planning, design, construction and operation of shopping mall roads. Therefore, the subsequent ventilation and lighting systems can be used and regulated in a targeted manner according to the passenger flow in the shopping mall roads.

[0046] Step S120, obtaining a heat map of each area based on the passenger flow data.

[0047] For details, see Figure 6 , a shopping mall is divided into 18 areas. Cameras are installed in each area, and the cameras capture the data of the number of people entering the corresponding area. The heat map of each area is determined according to the total number of people passing through or entering the area in the building.

[0048] Step S130, adjusting ventilation and lighting for the area corresponding to the heat map according to the heat map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset heat map.

[0049] Specifically, when ventilation and lighting are adjusted for the area corresponding to the heat map according to the heat map, the heat map of the current area at the current moment is first determined according to the needs, and then the corresponding ventilation and lighting adjustments are made according to the preset standards. For example, the density of area 1 from 9:00 to 9:30 the previous day is 10 people (the heat map is light red at this time), so there are not many people in this area, and the corresponding lights can be dimmed to 50% to save power. This setting method is that different heat maps correspond to different ventilation and adjustment levels.

[0050] Then, based on the data of the day, the brightness of the next half hour, i.e., 9:30 to 10 o'clock, is adjusted automatically. For areas with higher population density, the lights can be set to be brighter, and for areas with lower density, the lights can be set to be darker. For example, if the density of the area is higher from 9 to 9:30 on the same day, with 50 people (the heat map is dark red at this time), the brightness will be adjusted to 80% in the next time period, i.e., 9:30 to 10 o'clock. With this solution, the lights in areas with more people walking around can be brighter by default, while those in areas with less people walking around can be darker accordingly.

[0051] The comprehensive intelligent building management energy-saving method based on passenger flow density of this embodiment divides the shopping mall into areas according to the actual situation of the shopping mall. Since the location or goods in each area are different, there are obvious differences in passenger flow. In order to reduce the cost of ventilation and lighting, the passenger flow of each area can be monitored, and the passenger flow data can be obtained. Then, a heat map of each area can be created based on the passenger flow data. After obtaining the heat map, the ventilation and lighting systems corresponding to the heat map are associated according to the actual situation. That is, the ventilation and lighting systems of the area corresponding to the heat map are adjusted to the corresponding level according to the color and level of the heat map. This energy-saving system can be applied to various reasons such as increase or decrease in passenger flow caused by weather or events, and will not increase the cost burden.

[0052] like Figure 2 As shown, in one embodiment, obtaining passenger flow data of each area inside a building includes the following steps:

[0053] Step S210, dividing the areas in the building and arranging cameras according to the divided areas.

[0054] For details, see Figure 6 When dividing the area, we first need to consider the integrity of the area, that is, the current area is best to be a complete store or a passage. This setting can effectively divide the area and avoid the situation where the customer flow of multiple stores overlaps, which affects the judgment of the actual heat map.

[0055] Step S220, dividing the cameras based on the actual entry and exit logical relationship to count the entry and exit volume in the area.

[0056] Specifically, in order to achieve the above goals, the passenger flow collection time in this embodiment is designed to be 15 minutes, and there are also requirements for the installation location of the camera. With the cooperation of the camera used for passenger flow statistics, the minimum unit area of ​​the heat map is also very small. The minimum unit is roughly the size of a store, and it is required to be one store after another, and strive to ensure that there are no missed areas at the shopping mall level. In addition, there are also cases where the store is relatively large and there is a situation where one camera cannot completely cover the entrance and exit. At this time, if there are multiple relatively small entrances and exits, a design method combining two hemispheres can be adopted, and they can be combined in the system interface to form a store area.

[0057] In addition, if you encounter a large-opening paving type, you can use the DS-2XD8U46E / HC ceiling camera. The characteristics of this type of camera are that it occupies a smaller volume and looks more concealed. At the same time, the machine can see a wider range. It is installed on the top of the dividing line of the entrance of the paving. In the test of 100 people and the actual use results, the error rate of the number of people is less than 3%, and the accuracy rate is relatively high.

[0058] like Figure 3 As shown, in one embodiment, obtaining passenger flow data of each area inside a building includes the following steps:

[0059] Step S111, calculating the passenger flow in the area based on the in-and-out volume in the area acquired by the camera.

[0060] Specifically, useless data may exist according to the actual market situation. When conducting statistics, it is necessary to judge the useless data based on experience, so as to provide a reference for the subsequent elimination of useless data.

[0061] Step S112, uploading passenger flow data in the current area at set intervals.

[0062] like Figure 4 As shown, in one embodiment, ventilation and lighting are adjusted for the area corresponding to the thermal map according to the thermal map, and the following steps are also included:

[0063] Step S410: Associating the ventilation system with the lighting system based on the color and depth of the heat map.

[0064] Step S420, based on the association between the heat map and the ventilation system and the lighting system, determine the change amount between each stage of the heat map and the adjustment amount of the ventilation system and the lighting system related to the change amount of the heat map.

[0065] For details, see Figure 6In actual use, the heat map color of areas 1 to 4 is most likely to be darker because they are the necessary routes for passenger flow. In addition, the heat map color of the area directly in contact with areas 1 to 4 is second.

[0066] like Figure 5 As shown, in one embodiment, ventilation and lighting are adjusted for an area corresponding to the thermal map according to the thermal map, including the following steps:

[0067] Step S131, determining corresponding adjustment amounts of the ventilation system and the lighting system based on the changes in the thermal map in adjacent time periods.

[0068] Specifically, in order to achieve better service effects for customer flow, sudden and large adjustments to the ventilation state or lighting state are not conducive to guest comfort. Therefore, in this embodiment, the changes in the thermal map can be used as an indicator for adjusting the ventilation and lighting systems. This setting method can avoid large changes in ventilation and lighting in a short period of time, providing guests with time to adapt.

[0069] Step S132: adjusting the ventilation system and the lighting system according to the corresponding adjustment amounts of the ventilation system and the lighting system.

[0070] In one embodiment, the integrated intelligent building management energy saving based on passenger flow density further includes the following steps:

[0071] The camera is updated online at the target time point to ensure the accuracy of the data collected by the camera based on timeliness.

[0072] Specifically, by completing the design one by one according to the actual decoration conditions of the shops in the shopping mall, and then importing them into the system software platform one by one, you can get a customized customer flow statistics system for a certain shopping mall. The accuracy of the heat map can be guaranteed through the corresponding combination of the above technical levels.

[0073] Since the camera itself will have some errors in long-term use, the corresponding system statistics will inevitably produce certain deviations after the accumulation of diary months. For this reason, the ntp (Network Time Protocol) server is used for time synchronization in this embodiment.

[0074] The network update time at 12 o'clock every day when the server and equipment are relatively idle will not have any impact on the use of the system. All cameras (or cameras) from the second underground floor to the third floor of the mall will unify their time, so that the data collected by all cameras every day are accurate in terms of timeliness. With the basic guarantee of passenger flow, energy saving at the level of comprehensive intelligent technology can be considered on this basis. Similar to the lighting system, the ventilation system also uses similar logic. The system calculates the data obtained through the heat map. The ventilation in areas with fewer people will be smaller, and only the most basic air circulation will be guaranteed. For areas with high traffic density, the wind force will be increased to ensure better air circulation.

[0075] It should be noted that in this embodiment, a cross-system linkage software is obtained through the initial investment, and no human effort is required for long-term regulation in the future. What needs to be done specifically is to integrate the systems of various manufacturers, put them in one system, and then set up relevant logical relationships, so that the output volume will be automatically adjusted after reaching the specified stage. This avoids the situation where abnormal flow of people is caused by various emergencies, and the staff needs to manually adjust or no one adjusts. From the perspective of long-term development, it can save a lot of money for the mall.

[0076] The following is a description of the comprehensive intelligent building management and energy-saving device based on passenger flow density provided by the present invention. The comprehensive intelligent building management and energy-saving device based on passenger flow density described below and the comprehensive intelligent building management and energy-saving method based on passenger flow density described above can be referenced to each other.

[0077] like Figure 7 As shown, in one embodiment, a comprehensive intelligent building management and energy-saving device based on passenger flow density includes an acquisition module 710, a determination module 720 and a setting module 730.

[0078] The acquisition module 710 is used to obtain passenger flow data of each area inside the building;

[0079] The determination module 720 is used to obtain a heat map of each area based on the passenger flow data;

[0080] The setting module 730 is used to adjust the ventilation and lighting of the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset thermal map.

[0081] Figure 8 An example of a physical structure diagram of an electronic device is shown. The electronic device may be a smart terminal, and its internal structure diagram may be as follows: Figure 8As shown. The electronic device includes a processor, a memory and a network interface connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a comprehensive intelligent building management energy-saving method based on passenger flow density is implemented, and the method includes:

[0082] Obtain passenger flow data for each area inside the building;

[0083] Obtaining a heat map of each area based on the passenger flow data;

[0084] Ventilation and lighting are adjusted for the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset thermal map.

[0085] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present invention, and does not constitute a limitation on the electronic device to which the scheme of the present invention is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0086] On the other hand, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements a comprehensive intelligent building management energy-saving method based on passenger flow density, the method comprising:

[0087] Obtain passenger flow data for each area inside the building;

[0088] Obtaining a heat map of each area based on the passenger flow data;

[0089] According to the thermal map, ventilation and lighting are adjusted for the area corresponding to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the use status of the ventilation and lighting systems corresponding to the preset thermal map.

[0090] In another aspect, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and when the processor executes the computer instructions, a comprehensive intelligent building management energy-saving method based on passenger flow density is implemented, the method comprising:

[0091] Obtain passenger flow data for each area inside the building;

[0092] Obtaining a heat map of each area based on the passenger flow data;

[0093] Ventilation and lighting are adjusted for the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset thermal map.

[0094] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory.

[0095] By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0096] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0097] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A comprehensive intelligent building management energy-saving method based on passenger flow density, characterized in that: include: Obtain passenger flow data for each area inside the building; Obtaining a heat map of each area based on the passenger flow data; Ventilation and lighting are adjusted for the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the usage status of the ventilation and lighting systems corresponding to the preset thermal map.

2. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 1 is characterized in that: The method of obtaining passenger flow data of each area inside the building also includes: Divide the areas in the building and arrange cameras according to the divided areas; The cameras are divided based on the actual entry and exit logic relationship to count the number of people entering and leaving the area.

3. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 2 is characterized in that: The obtaining of passenger flow data of each area inside the building includes: Calculate the passenger flow in the area based on the in-and-out volume in the area acquired by the camera; The passenger flow data in the current area is uploaded at set intervals.

4. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 3 is characterized in that: The step of adjusting ventilation and lighting of the area corresponding to the thermal map according to the thermal map further includes: Set up correlation between ventilation and lighting systems based on the color and depth of the heat map; Based on the association between the thermal map and the ventilation system and the lighting system, the change amount between each stage of the thermal map and the adjustment amount of the ventilation system and the lighting system related to the change amount of the thermal map are determined.

5. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 4 is characterized in that: The step of adjusting ventilation and lighting of an area corresponding to the thermal map according to the thermal map includes: Determine the corresponding adjustment amount of the ventilation system and the lighting system based on the change amount of the thermal map in adjacent time periods; The ventilation system and the lighting system are adjusted according to their corresponding adjustment amounts.

6. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 5 is characterized in that: The method further comprises: The camera is updated online at the target time point to ensure the accuracy of the data collected by the camera based on timeliness.

7. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 6 is characterized in that: Use the ntp server to calibrate the camera time.

8. The comprehensive intelligent building management and energy-saving method based on passenger flow density according to claim 7 is characterized in that: For small areas, a single camera is used for shooting; For large areas, multiple cameras are placed at the entrance and exit for shooting, or a ceiling camera with a large shooting range is used.

9. A comprehensive intelligent building management and energy-saving device based on passenger flow density, characterized in that: include: An acquisition module is used to obtain passenger flow data of various areas inside the building; A determination module, used to obtain a heat map of each area based on the passenger flow data; A setting module is used to adjust ventilation and lighting of the area corresponding to the thermal map according to the thermal map, wherein the ventilation and lighting adjustment amounts are obtained based on the use status of the ventilation and lighting systems corresponding to the preset thermal map.

10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the comprehensive intelligent building management energy-saving method based on passenger flow density described in any one of claims 1 to 8 are implemented.

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