An office building energy-saving monitoring method and system based on the Internet of Things

Abstract

This application discloses an Internet of Things (IoT)-based energy-saving monitoring method and system for office buildings, which relate to the field of building energy-saving technology. The method includes the following steps: obtaining monitoring information within the office building and personnel entry and exit information from the office building's access control system; analyzing the monitoring information and personnel entry and exit information to obtain personnel distribution information within the office building; and adjusting IoT devices within the office building based on the personnel distribution information to reduce energy consumption. This application has the advantage of adjusting IoT devices to reduce office building energy consumption without compromising the office experience of employees within the office building.

Description

Technical Field

[0001] The present application relates to the field of building energy-saving technology, and in particular to an energy-saving monitoring method and system for office buildings based on the Internet of Things. Background Art

[0002] With the continuous development of the economy, many companies have gradually owned their own office buildings, which can better promote corporate business and strengthen employee management. It is also beneficial for companies to control labor costs and resource costs.

[0003] With the continuous advancement of technology, many companies have introduced IoT technology into their office buildings, achieving the "Internet of Everything" (IoE) of numerous devices within the office building. Electricity is often the largest daily energy consumption within office buildings, and some of this energy is wasted due to human error, such as employees not turning off appliances after get off work. However, in IoT-enabled office buildings, the master control system can be set to a certain time after get off work hours as a shutdown time. When employees leave work and the shutdown time arrives, the master control system will collectively shut down all lights, computers, air conditioners, and other equipment, eliminating energy waste caused by employees forgetting to turn off these appliances.

[0004] Regarding the above-mentioned related technologies, the inventor believes that there are the following defects: since employees in the office building sometimes need to work overtime in the office building after get off work, when the closing time is reached, the main control system automatically shuts down the relevant equipment, which will affect the work progress of the overtime employees in the office building, thereby affecting the office experience of the employees in the office building. Summary of the Invention

[0005] In order to improve the defect that the automatic shutdown of equipment by the overall control system may affect the working experience of employees in the office building, the present application provides an office building energy-saving monitoring method and system based on the Internet of Things.

[0006] In a first aspect, the present application provides an office building energy-saving monitoring method based on the Internet of Things, comprising the following steps:

[0007] Obtaining surveillance information within the office building and information about people entering and exiting the office building;

[0008] Analyzing the personnel distribution information in the office building by combining the monitoring information and the personnel entry and exit information;

[0009] The Internet of Things devices in the office building are adjusted according to the personnel distribution information to reduce energy consumption.

[0010] By adopting the above technical solution, the number of people in the office building can be counted based on the personnel entry and exit information of the office building access control. Therefore, the personnel distribution information in the office building can be analyzed by combining the monitoring information and the personnel entry and exit information. Then, according to the personnel distribution information, the Internet of Things devices in the office building can be adjusted to reduce energy consumption, thereby minimizing the impact of adjusting the Internet of Things devices on the personnel in the office building, and thus minimizing the impact on the office experience of the employees in the office building.

[0011] Optionally, the analyzing the personnel distribution information in the office building by combining the monitoring information and the personnel entry and exit information includes the following steps:

[0012] Counting the number of people in the office building based on the personnel entry and exit information;

[0013] Determining whether the number of personnel is less than a preset personnel number threshold;

[0014] If the number of personnel is greater than or equal to the personnel number threshold, the number of personnel is updated in real time based on the personnel entry and exit information;

[0015] If the number of people is less than the number of people threshold, locating the position information of all people in the office building based on the monitoring information;

[0016] The personnel distribution information in the office building is obtained by combining the location information and the number of personnel.

[0017] By employing this technical solution, the number of people in the office building is first counted. A preset threshold is then used to determine whether the office space is relatively empty. If the number of people is less than the threshold, it indicates that the office building is relatively empty, possibly indicating that it is off-duty. Combining the number of people with the location of the people located by monitoring data allows for analysis of the distribution of the remaining people in the office building. Determining the number of people before analyzing the distribution improves efficiency and reduces computational complexity.

[0018] Optionally, locating the position information of all persons in the office building based on the monitoring information includes the following steps:

[0019] Performing person recognition on all the monitoring information using a preset person recognition algorithm, and counting the number of people recognized in all the monitoring information;

[0020] Determine whether the number of characters is the same as the number of personnel;

[0021] If the number of characters is different from the number of personnel, the identification step is repeated after a preset waiting time;

[0022] If the number of the characters is the same as the number of the personnel, the monitoring information in which the characters are identified is marked as target monitoring information;

[0023] Obtaining device location information of all monitoring devices corresponding to the target monitoring information;

[0024] The location information of all the devices is integrated to obtain the location information of all the people in the office building.

[0025] By adopting the above technical solution, people are first identified in all monitoring information, and the number of people identified in the monitoring information is preliminarily counted. Since some people in the monitoring information may be located behind obstacles and not identified during the identification process, the number of identified people can be judged by the number of people. If the number is the same, it means that all people in the building have been identified. At this time, the location information of all people can be obtained based on the device location information of the monitoring device; if the number is different, it means that some people have not been identified. At this time, repeated identification can be performed after a preset waiting time.

[0026] Optionally, the IoT devices include lighting, air conditioners, and elevators, and adjusting the IoT devices in the office building according to the personnel distribution information to reduce energy consumption includes the following steps:

[0027] Determine whether there are people on each floor of the office building based on the personnel distribution information;

[0028] If there is no person on the floor, the corresponding floor will be marked as an empty floor;

[0029] Turn off all the lights and air conditioners on the vacant floors;

[0030] If there are people on the floor, the corresponding floor will be marked as a non-vacant floor;

[0031] The running number of the elevators is adjusted based on the floor numbers of all the non-idle floors to reduce energy consumption.

[0032] By adopting the above technical solution, since the office building consists of multiple floors, each floor can be divided into idle floors and non-idle floors according to whether there are people. After dividing the idle floors and non-idle floors, all lights and air conditioners on the idle floors where there are no people can be turned off to save energy. For non-idle floors, the number of elevator operations can be adjusted based on the number of floors of all non-idle floors to reduce energy consumption.

[0033] Optionally, adjusting the number of elevators in operation based on the number of floors of all non-idle floors to reduce energy consumption comprises the following steps:

[0034] Calculating the average number of floors of all the non-vacant floors to obtain a floor number mean;

[0035] Determine whether the layer number mean is less than a preset layer number threshold;

[0036] If the floor average is greater than or equal to the floor threshold, the number of elevators in operation is not adjusted;

[0037] If the average number of floors is less than the floor threshold, half of the elevators are closed.

[0038] By adopting the above technical solution, the average number of floors can be obtained by calculating the average number of floors of all non-idle floors. The average number of floors represents the overall average height of all non-idle floors. Then, the preset floor threshold can be used to determine whether the overall average height of all non-idle floors is high. If it is high, it means that the elevator still needs to run to the upper floors, and the overall running time of the elevator is longer. Therefore, the number of elevator operations will not be adjusted temporarily; if the overall average height is low, it means that the elevator runs to the upper floors less frequently or does not need to run to the upper floors, so the overall running time of the elevator is shorter. At this time, half of the elevators can be shut down to reduce energy consumption without affecting the experience of people in the building.

[0039] Optionally, the IoT device further includes an exhaust fan provided in the smoking area, and after marking the corresponding floor as a non-vacant floor, the following steps are further included:

[0040] Determining whether there are people in the smoking area on the non-vacant floor based on the people distribution information;

[0041] If there is no one in the smoking area, turning off the exhaust fan;

[0042] If there is a person in the smoking area, turning on the exhaust fan and detecting the smoke concentration in the smoking area;

[0043] Determining whether the smoke concentration exceeds a preset concentration threshold;

[0044] If the smoke concentration does not exceed the concentration threshold, the wind speed of the exhaust fan is reduced.

[0045] By adopting the above technical solution, people in the building usually smoke in the smoking area. When there is no one in the smoking area, the exhaust fans in the smoking area are often turned on, which increases energy consumption. Therefore, it is possible to determine whether there are people in the smoking area based on the personnel distribution information. If there are no people, the exhaust fans are turned off to save energy. If there are people, the exhaust fans are turned on and the smoke concentration in the smoking area is detected. If the concentration does not exceed the preset concentration threshold, the wind speed of the exhaust fans is reduced to save energy.

[0046] Optionally, after marking the corresponding floor as a non-vacant floor, the method further includes the following steps:

[0047] detecting the outdoor temperature outside the office building;

[0048] Determining whether the outdoor temperature is within a preset temperature range;

[0049] If the outdoor temperature is within the temperature range, the wind speed level of the air conditioner on the non-vacant floor is reduced.

[0050] By adopting the above technical solution, the wind speed level of the air conditioner can be intelligently adjusted according to the outdoor temperature, which can not only avoid the large temperature difference between indoor and outdoor causing a poor experience for people in the building, but also save energy consumption generated by the air conditioner.

[0051] In the second aspect, the present application provides an office building energy-saving monitoring system based on the Internet of Things, including a memory, a processor, and a program stored on the memory and runnable on the processor. When the program is loaded and executed by the processor, it can implement an office building energy-saving monitoring method based on the Internet of Things as described in the first aspect.

[0052] By adopting the above technical solution, the number of people in the office building can be counted based on the personnel entry and exit information of the office building access control system through program retrieval. Therefore, the personnel distribution information in the office building can be analyzed by combining the monitoring information and the personnel entry and exit information. Then, according to the personnel distribution information, the Internet of Things devices in the office building can be adjusted to reduce energy consumption, thereby minimizing the impact of adjusting the Internet of Things devices on the personnel in the office building, and thus minimizing the impact on the office experience of the employees in the office building.

[0053] In summary, this application has the following beneficial technical effects:

[0054] The number of people in the office building can be counted based on the entry and exit information of the office building access control. Therefore, the personnel distribution information in the office building can be analyzed by combining the monitoring information and the personnel entry and exit information. Then, based on the personnel distribution information, the IoT devices in the office building can be adjusted to reduce energy consumption, thereby minimizing the impact of adjusting the IoT devices on the people in the office building, and thus minimizing the impact on the office experience of the employees in the office building. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of an office building energy-saving monitoring method based on the Internet of Things according to one embodiment of the present application.

[0056] Figure 2 This is a flowchart of analyzing personnel distribution information by combining monitoring information and personnel entry and exit information according to one embodiment of the present application.

[0057] Figure 3 This is a flowchart of locating the location information of all personnel based on monitoring information in one embodiment of the present application.

[0058] Figure 4 This is a flowchart of adjusting IoT devices based on personnel distribution information in one embodiment of the present application.

[0059] Figure 5 This is a flowchart of adjusting the number of elevator operations based on the number of non-vacant floors in one embodiment of the present application.

[0060] Figure 6 This is a flowchart of adjusting the exhaust fans in the smoking area based on personnel distribution information according to one embodiment of the present application.

[0061] Figure 7 This is a flow chart of adjusting the air conditioning wind speed level according to the outdoor temperature in one embodiment of the present application. DETAILED DESCRIPTION

[0062] The following is combined with Figure 1-7 This application is described in further detail.

[0063] The embodiment of the present application discloses an office building energy-saving monitoring method based on the Internet of Things.

[0064] Reference Figure 1 ,The office building energy saving monitoring method based on the Internet of Things includes the following steps:

[0065] S101. Obtain monitoring information in the office building and information about people entering and exiting the office building through the access control system.

[0066] Among them, monitoring information in the office building is obtained through monitoring equipment pre-installed in various corridors, offices, stairwells and other locations of the office building. All personnel at the office building access control point need to swipe their cards to enter and exit. Company employees swipe their employee cards to enter and exit, and temporary personnel swipe their temporary cards to enter and exit. By obtaining the card swiping information of the access control, the entry and exit information of all personnel can be obtained.

[0067] S102. Analyze the personnel distribution information in the office building by combining the monitoring information and the personnel entry and exit information.

[0068] S103. Adjust IoT devices in the office building based on personnel distribution information to reduce energy consumption.

[0069] The implementation principle of this embodiment is:

[0070] The number of people in the office building can be counted based on the entry and exit information of the office building access control. Therefore, the personnel distribution information in the office building can be analyzed by combining the monitoring information and the personnel entry and exit information. Then, based on the personnel distribution information, the IoT devices in the office building can be adjusted to reduce energy consumption, thereby minimizing the impact of adjusting the IoT devices on the people in the office building, and thus not affecting the office experience of the employees in the office building.

[0071] exist Figure 1 In step S102 of the embodiment shown, it is possible to first determine whether there are fewer people in the building by using a preset threshold of the number of people. If there are fewer people, the location information of all people can be located based on the monitoring information, and the distribution information of people can be further obtained. Figure 2 The illustrated embodiment is described in detail.

[0072] Reference Figure 2 , locating the location information of all personnel based on monitoring information includes the following steps:

[0073] S201. Count the number of people in the office building based on the personnel entry and exit information.

[0074] The initial number of people in the office building is 0. The entry and exit information includes entry information and exit information. The number of people entering is counted through entry information, and the number of people leaving is counted through exit information. The number of people entering minus the number of people leaving is the number of people in the office building at that time.

[0075] S202. Determine whether the number of personnel is less than a preset personnel number threshold. If so, execute step S204; if not, execute step S203.

[0076] Among them, the preset personnel quantity threshold can be modified according to the threshold modification information input by the user.

[0077] S203. Update the number of personnel in real time based on personnel entry and exit information.

[0078] When people enter or exit the building and swipe their cards, entry and exit information is updated in real time. Based on this updated information, the number of people entering and leaving the building is counted in real time, and the number of people is updated in real time based on the count. When the number of people reaches 0, all lights, air conditioners, elevators, and other equipment in the office building are turned off.

[0079] S204. Locate the location information of all personnel in the office building based on the monitoring information.

[0080] S205. Analyze the location information and the number of people to obtain the distribution information of people in the office building.

[0081] Among them, a personnel distribution table is generated. The number of items in the personnel distribution table is the same as the number of personnel. The location information is filled into the personnel distribution table in the order of the time when the location information is obtained. The filled-in personnel distribution table is the personnel distribution information in the office building.

[0082] The implementation principle of this embodiment is:

[0083] First, count the number of people in the office building. Then, based on a preset threshold, determine whether the office is relatively empty. If the number of people is less than the threshold, it indicates that the office building is relatively empty, possibly indicating that it is off-duty. Combining the number of people with the location of the people located by monitoring data can be used to analyze the distribution of the remaining people in the office building. Determining the number of people before analyzing the distribution improves efficiency and reduces the amount of computation required.

[0084] exist Figure 2 In step S204 of the embodiment shown, the monitoring information can be used to identify people using a preset person recognition algorithm, and the location information of all people can be obtained based on the device location information of the monitoring device. Figure 3 The illustrated embodiment is described in detail.

[0085] Reference Figure 3 , locating the location information of all personnel based on monitoring information includes the following steps:

[0086] S301. Perform person recognition on all monitoring information using a preset person recognition algorithm, and count the number of people recognized in all monitoring information.

[0087] Among them, the preset personnel information database includes an employee database and a temporary database. The employee database pre-stores the facial information and gait information of all personnel. When temporary personnel enter the office building through the access control, the facial collection system and gait collection system pre-installed at the access control will collect the temporary personnel's temporary facial information and temporary gait information, and store the temporary facial information and temporary gait information in the temporary database.

[0088] The preset person recognition algorithms include a facial recognition algorithm, which identifies faces in surveillance information and generates facial recognition information. This facial recognition information is then compared with facial information in the personnel database and temporary database to identify individuals appearing in the surveillance information. The preset person recognition algorithms also include a pedestrian re-identification algorithm (P-edestrian Re-identification, ReID) that dynamically identifies surveillance information to generate gait recognition information. This gait recognition information is then compared with gait information in the personnel database and temporary database to identify individuals appearing in the surveillance information. Deduplication is performed on individuals identified by the facial recognition algorithm and the pedestrian re-identification algorithm, and the number of individuals identified in all surveillance information is ultimately counted.

[0089] S302. Determine whether the number of characters is the same as the number of personnel. If not, execute step S303; if the same, execute step S304.

[0090] S303. Repeat the recognition step after a preset waiting time.

[0091] The preset waiting time can be modified according to the time modification information input by the user, and steps S301 to S302 are repeated after the waiting time has elapsed.

[0092] S304. Mark the monitoring information of the identified person as target monitoring information.

[0093] S305. Obtain the device location information of the monitoring devices corresponding to all target monitoring information.

[0094] The device location information includes the installation floor of the corresponding monitoring device and the installation location of the installation floor.

[0095] S306. Integrate the location information of all devices to obtain the location information of all personnel in the office building.

[0096] Among them, the person identified in the target monitoring information is marked as the target person, and the installation floor and installation location of the monitoring equipment corresponding to the target monitoring information are integrated into the location information of the target person.

[0097] The implementation principle of this embodiment is:

[0098] First, perform person recognition on all monitoring information and preliminarily count the number of people recognized in the monitoring information. Since some people in the monitoring information may be located behind obstacles and not recognized during the recognition process, the number of recognized people can be judged by the number of people. If the number is the same, it means that all people in the building have been recognized. At this time, the location information of all people can be obtained based on the device location information of the monitoring equipment; if the number is different, it means that some people have not been recognized. At this time, repeated recognition can be performed after a preset waiting time.

[0099] exist Figure 1 In step S103 of the embodiment shown, the floors of the office building are divided into idle floors and non-idle floors according to the personnel distribution information, and the IoT devices on the idle floors and non-idle floors are adjusted respectively. Figure 4 The illustrated embodiment is described in detail.

[0100] Reference Figure 4 ,Adjusting IoT devices based on personnel distribution information includes the following steps:

[0101] S401. Based on the personnel distribution information, determine whether there are personnel on each floor of the office building. If not, execute step S402; if so, execute step S404.

[0102] Among them, the location information of all personnel in the office building is obtained from the personnel distribution information, and judgment is made based on the floor information contained in the location information. The floor information is the installation floor of the corresponding monitoring equipment, so that it can be judged whether there are people on each floor of the office building.

[0103] S402. Mark the corresponding floor as an idle floor.

[0104] S403. Turn off all lights and air conditioners on the vacant floors.

[0105] S404. Mark the corresponding floor as a non-vacant floor.

[0106] S405. Adjust the number of elevator operations based on the number of floors of all non-idle floors to reduce energy consumption.

[0107] The implementation principle of this embodiment is:

[0108] Since the office building consists of multiple floors, each floor can be divided into idle floors and non-idle floors based on whether there are people. After the idle floors and non-idle floors are divided, all lights and air conditioners on the idle floors where no people are present can be turned off to save energy. For non-idle floors, the number of elevator operations can be adjusted based on the number of floors of all non-idle floors to reduce energy consumption.

[0109] exist Figure 4 In step S405 of the embodiment shown, the average height of the non-vacant floors is determined based on the number of floors of the non-vacant floors and the preset floor threshold, and then the number of elevators in operation is adjusted. Figure 5 The illustrated embodiment is described in detail.

[0110] Reference Figure 5 , adjusting the number of elevator operations based on the number of non-vacant floors includes the following steps:

[0111] S501. Calculate the average number of floors of all non-vacant floors to obtain a mean number of floors.

[0112] Before calculating the average number of floors, the number of non-vacant floors may be counted first. If the number of non-vacant floors is less than a preset threshold, a normal number of elevators may be directly shut down.

[0113] S502. Determine whether the layer mean is less than a preset layer threshold. If not, execute step S503; if so, execute step S504.

[0114] The preset layer number threshold can be modified according to the threshold modification information input by the user.

[0115] S503: Do not adjust the number of elevators in operation.

[0116] S504. Shut down half of the elevators.

[0117] The implementation principle of this embodiment is:

[0118] The average number of floors can be obtained by calculating the average number of floors of all non-idle floors. The average number of floors represents the overall average height of all non-idle floors. The preset floor threshold can then be used to determine whether the overall average height of all non-idle floors is high. If it is high, it means that the elevator still needs to run to the upper floors, and the overall running time of the elevator is longer. Therefore, the number of elevator operations will not be adjusted temporarily; if the overall average height is low, it means that the elevator runs to the upper floors less frequently or does not need to run to the upper floors, so the overall running time of the elevator is short. At this time, half of the elevators can be shut down to reduce energy consumption without affecting the experience of people in the building.

[0119] exist Figure 4 After step S404 of the embodiment shown, there are still people on the marked non-vacant floors, so the exhaust fans in the smoking areas of the non-vacant floors can be adjusted according to whether the people are in the smoking areas of the non-vacant floors. Figure 6 The illustrated embodiment is described in detail.

[0120] Reference Figure 6Adjusting the exhaust fans in the smoking area based on occupant distribution information includes the following steps:

[0121] S601. Determine whether there are people in the smoking area on a non-vacant floor based on the personnel distribution information. If not, execute step S602; if so, execute step S603.

[0122] Among them, the location information of all personnel in the office building is obtained from the personnel distribution information, and judgment is made based on the specific location information contained in the location information. The specific location information is the installation location of the corresponding monitoring equipment, so that it can be determined whether there are people in the smoking area on the non-vacant floor.

[0123] S602. Turn off the exhaust fan.

[0124] S603. Turn on the exhaust fan and detect the smoke concentration in the smoking area.

[0125] The smoke concentration is detected by a smoke sensor pre-installed in the smoking area.

[0126] S604: Determine whether the smoke concentration exceeds a preset concentration threshold. If not, execute step S605.

[0127] If the smoke concentration exceeds the preset concentration threshold, the wind speed level of the exhaust fan will not be adjusted. The preset concentration threshold can be modified according to the threshold modification information input by the user.

[0128] S605. Reduce the wind speed of the exhaust fan.

[0129] If the wind speed level of the exhaust fan is already at the lowest level, the wind speed level will not be lowered.

[0130] The implementation principle of this embodiment is:

[0131] People in the building usually smoke in the smoking area. When there is no one in the smoking area, the exhaust fans in the smoking area are often turned on, which increases energy consumption. Therefore, the personnel distribution information can be used to determine whether there are people in the smoking area. If there are no people, the exhaust fans are turned off to save energy. If there are people, the exhaust fans are turned on and the smoke concentration in the smoking area is detected. If the concentration does not exceed the preset concentration threshold, the wind speed of the exhaust fans is reduced to save energy.

[0132] exist Figure 4 After step S404 of the embodiment shown, the outdoor temperature outside the office building can also be detected, and the air conditioner in the office building can be intelligently adjusted according to the outdoor temperature. Figure 7 The illustrated embodiment is described in detail.

[0133] Reference Figure 7 , adjusting the air conditioning wind level according to the outdoor temperature includes the following steps:

[0134] S701. Detect the outdoor temperature outside the office building.

[0135] The outdoor temperature is detected by a temperature sensor pre-installed on the outside of the office building.

[0136] S702: Determine whether the outdoor temperature is within a preset temperature range. If so, execute step S703.

[0137] If the outdoor temperature is not within the preset temperature range, the wind speed level of the air conditioner on the non-vacant floor will not be adjusted. The preset temperature range can be modified according to the range modification information input by the user.

[0138] S703. Reduce the wind speed level of the air conditioner on non-vacant floors.

[0139] If the wind speed level of the air conditioner is already at the lowest, the wind speed level will not be lowered.

[0140] The implementation principle of this embodiment is:

[0141] The wind speed level of the air conditioner can be intelligently adjusted according to the outdoor temperature, which can not only avoid the large temperature difference between indoor and outdoor that causes a bad experience for people in the building, but also save energy consumption generated by the air conditioner.

[0142] The embodiment of the present application also discloses an office building energy-saving monitoring system based on the Internet of Things, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to realize the following Figures 1 to 7 An energy-saving monitoring method for an office building based on the Internet of Things is shown.

[0143] The implementation principle of this embodiment is:

[0144] By calling the program, the number of people in the office building can be counted based on the personnel entry and exit information of the office building access control. Therefore, the personnel distribution information in the office building can be analyzed by combining the monitoring information and the personnel entry and exit information. Then, according to the personnel distribution information, the Internet of Things devices in the office building can be adjusted to reduce energy consumption, thereby minimizing the impact of adjusting the Internet of Things devices on the personnel in the office building, and thus not affecting the office experience of the employees in the office building.

[0145] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. An office building energy-saving monitoring method based on the Internet of Things, characterized in that: The steps include: Obtaining surveillance information within the office building and information about people entering and exiting the office building; Analyzing the personnel distribution information in the office building by combining the monitoring information and the personnel entry and exit information; Adjusting IoT devices in the office building according to the personnel distribution information to reduce energy consumption; The IoT devices include lighting, air conditioners, and elevators, and adjusting the IoT devices in the office building according to the personnel distribution information to reduce energy consumption includes the following steps: Determine whether there are people on each floor of the office building based on the personnel distribution information; If there is no person on the floor, the corresponding floor will be marked as an empty floor; Turn off all the lights and air conditioners on the vacant floors; If there are people on the floor, the corresponding floor will be marked as a non-vacant floor; Adjusting the number of elevator operations based on the number of floors of all non-idle floors to reduce energy consumption; The step of adjusting the number of elevators in operation based on the number of floors of all non-idle floors to reduce energy consumption comprises the following steps: Calculating the average number of floors of all the non-vacant floors to obtain a floor number mean; Determine whether the layer number mean is less than a preset layer number threshold; If the floor average is greater than or equal to the floor threshold, the number of elevators in operation is not adjusted; If the average number of floors is less than the floor threshold, half of the elevators are closed.

2. The method for monitoring energy conservation in an office building based on the Internet of Things according to claim 1, characterized in that: The analyzing and obtaining the personnel distribution information in the office building by combining the monitoring information and the personnel entry and exit information comprises the following steps: Counting the number of people in the office building based on the personnel entry and exit information; Determining whether the number of personnel is less than a preset personnel number threshold; If the number of personnel is greater than or equal to the personnel number threshold, the number of personnel is updated in real time based on the personnel entry and exit information; If the number of people is less than the number of people threshold, locating the position information of all people in the office building based on the monitoring information; The personnel distribution information in the office building is obtained by combining the location information and the number of personnel.

3. The method for monitoring energy conservation in an office building based on the Internet of Things according to claim 2, characterized in that: The step of locating the position information of all persons in the office building based on the monitoring information comprises the following steps: Performing person recognition on all the monitoring information using a preset person recognition algorithm, and counting the number of people recognized in all the monitoring information; Determine whether the number of characters is the same as the number of personnel; If the number of characters is different from the number of personnel, the identification step is repeated after a preset waiting time; If the number of the characters is the same as the number of the personnel, the monitoring information in which the characters are identified is marked as target monitoring information; Obtaining device location information of all monitoring devices corresponding to the target monitoring information; The location information of all the devices is integrated to obtain the location information of all the people in the office building.

4. The method for monitoring energy conservation in an office building based on the Internet of Things according to claim 1, characterized in that: The IoT device further includes an exhaust fan provided in the smoking area, and after marking the corresponding floor as a non-vacant floor, the following steps are further included: Determining whether there are people in the smoking area on the non-vacant floor based on the people distribution information; If there is no one in the smoking area, turning off the exhaust fan; If there is a person in the smoking area, turning on the exhaust fan and detecting the smoke concentration in the smoking area; Determining whether the smoke concentration exceeds a preset concentration threshold; If the smoke concentration does not exceed the concentration threshold, the wind speed of the exhaust fan is reduced.

5. The method for energy-saving monitoring of an office building based on the Internet of Things according to claim 1, characterized in that: After marking the corresponding floor as a non-vacant floor, the following steps are further included: detecting the outdoor temperature outside the office building; Determining whether the outdoor temperature is within a preset temperature range; If the outdoor temperature is within the temperature range, the wind speed level of the air conditioner on the non-vacant floor is reduced.

6. An office building energy-saving monitoring system based on the Internet of Things, characterized in that: The invention comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement an energy-saving monitoring method for an office building based on the Internet of Things as described in any one of claims 1 to 5.

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