Energy-saving control method for office equipment

Abstract

The invention discloses an energy-saving control method for office equipment, which comprises the following steps of: processing, analyzing and judging acquired data through a computer to determine whether to control the closing of the office equipment, namely, analyzing indoor positioning, access control record and operation record data of a user at regular time in an overtime period, and respectively speculating the probability that the user is currently in an office; the probability P (working) of the user in the office is calculated according to a formula 1, and when the P (working) is larger than or equal to a set fixed threshold value, the instruction of closing the office equipment is not executed, and the control method is repeated; if not, closing the office equipment, and ending; according to the invention, whether the employees are on the office seats can be comprehensively judged by analyzing information such as indoor positioning, access control records and operation records of the employees during overtime, and office equipment is automatically turned off if the employees are not overtime, so that energy-saving management and control of the equipment are realized under the condition that the office experience of a user is not influenced.

Description

Technical Field

[0001] The present invention belongs to the field of communication technology, relates to a door access control method, and in particular to an office equipment energy-saving control method. Background Art

[0002] In independent offices and open office areas in office buildings, office parks and other buildings, employees will turn on the lights and air conditioners by themselves when they work overtime at night or on weekends. Most offices are not designed with human body sensing automatic control, so if employees do not turn off the lights and air conditioners in time after get off work, it will cause energy waste in the office.

[0003] In order to reduce energy waste, a traditional solution is to rely on property management to conduct regular inspections and manually shut down equipment. This solution is not only labor-intensive, but also energy waste still exists due to the long inspection cycle.

[0004] Another traditional solution is to use the remote control capability of the intelligent system to automatically and remotely shut down the equipment at regular intervals, regardless of whether there are overtime workers in the office. This solution is extremely bad for the office experience of overtime workers and is likely to cause customer complaints.

[0005] Therefore, we hope to develop a more ideal method that can combine the indoor positioning, access control records, operation records and other information of office employees to comprehensively determine whether the employees are in their office seats, and then remotely shut down the equipment to achieve a balance between energy-saving control and user experience. Summary of the invention

[0006] The purpose of the present invention is to realize intelligent judgment on whether employees are working overtime without affecting the use of the office by overtime personnel, reduce energy consumption, and achieve a balance between energy-saving control and user experience.

[0007] The technical solution adopted by the present invention provides an energy-saving control method for office equipment. The above control method is to determine whether to control the shutdown of office equipment after analyzing and judging the collected data through computer processing. The key is that the above control method specifically analyzes the user's indoor positioning, access control records, and operation record data regularly during the overtime period, and infers the probability that the user is currently in the office, and then calculates the probability that the user is in the office according to Formula 1:

[0008] P(working)=1-(1-P(position))×(1-P(entrance))×(1-P(control)) Formula 1

[0009] In formula 1, P(working) represents the probability that the user is currently in the office, P(position) represents the probability that the user is currently in the office obtained by analyzing the user's indoor positioning records, P(entrance) represents the probability that the user is currently in the office obtained by analyzing the user's access control records, and P(control) represents the probability that the user is currently in the office obtained by analyzing the user's device operation records;

[0010] When P(working) is greater than or equal to the set fixed threshold, the instruction to close the office equipment is not executed, and the above control method is repeated; if not, the office equipment is closed and the process ends.

[0011] Specifically, P(position) is calculated according to Formula 2:

[0012] P(position)=1 / exp[(Tnow-Tposition) / Ta] Formula 2

[0013] In formula 2, Tnow represents the current time, Tposition represents the time of the user's last indoor positioning, and Ta is a constant.

[0014] Specifically, P(entrance) is calculated according to Formula 3:

[0015] P(entrance)=1 / exp[(Tnow-Tentrance) / Tb] Formula 3

[0016] In formula 3, Tnow represents the current time, Tentrance represents the time when the user last passed the access control, and Tb is a constant.

[0017] Specifically, P(control) is calculated according to Formula 4:

[0018] P(control)=1 / exp[(Tnow-Tcontrol) / Tc] Formula 4

[0019] In formula 4, Tnow represents the current time, Tcontrol represents the time when the user last controlled the device, and Tc is a constant.

[0020] Furthermore, the above-mentioned timed analysis is to analyze the probability of the user being in the office every 30 minutes, 60 minutes or 90 minutes.

[0021] Furthermore, the above-mentioned fixed threshold may be any one of 0.7, 0.75, 0.8, 0.85, 0.9 or 0.95.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention provides an office equipment energy-saving control method, which is an office equipment energy-saving control method based on indoor positioning, access control records, and operation records. The method can comprehensively judge whether the employee is in the office seat by analyzing the indoor positioning, access control records, operation records and other information of the employee during overtime. If the employee is not working overtime, the office equipment will be automatically shut down, thereby realizing equipment energy-saving management and control without affecting the user's office experience. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.

[0025] Example

[0026] This implementation specifically describes the control method of the present invention. Assuming that user A is in office 1 during overtime hours and the current time is 2024 / 1 / 12 1:00, the control method of the present invention is used to control the devices in office 1. Specifically, it is divided into three steps:

[0027] S1. During the overtime period, the user's indoor positioning, access control records, and operation record data are regularly analyzed, and the probability that the user is currently in the office is estimated.

[0028] The timed analysis in this step may be to analyze the probability of the user being in the office once every 30 minutes, 60 minutes, or 90 minutes. This embodiment is described by taking 60 minutes as an example.

[0029] S1-1. Analyze the user's indoor positioning records to obtain the probability that the user is currently in the office, expressed as P (position):

[0030] P(position) is calculated based on Formula 2:

[0031] P(position)=1 / exp[(Tnow-Tposition) / Ta] Formula 2

[0032] In formula 2, Tnow represents the current time, Tposition represents the time of the user's last indoor positioning, and Ta is a constant.

[0033] When user A uses an App or mini-program, each time he visits an application or operates a page, he reports indoor positioning data to the system. The system records the user, time, and location. Assume that the positioning record is shown in Table 1.

[0034] Table 1: Positioning record table

[0035] Username Positioning time Location User A 2024 / 1 / 120:00 Office 1 User A 2024 / 1 / 120:10 Office 1 User A 2024 / 1 / 120:30 Office 1

[0036] According to Formula 2 and Table 1, when Ta=90, Tnow-Tposition=30(min), the probability P(position)1 that user A is currently in the office is calculated, P(position)1=1 / exp(30 / 90)=0.72.

[0037] S1-2. Analyze the user's access control records to obtain the probability that the user is currently in the office, expressed as P (entrance):

[0038] P(entrance) is calculated based on Formula 3:

[0039] P(entrance)=1 / exp[(Tnow-Tentrance) / Tb] Formula 3

[0040] In formula 3, Tnow represents the current time, Tentrance represents the time when the user last passed the access control, and Tb is a constant.

[0041] When user A opens the door by face recognition, card swiping, or mobile phone app, the system will record the door opening data, including the user, time, and access control device. The access control records of this embodiment are shown in Table 2.

[0042] Table 2: Access control record table

[0043] Username Recording time Record corresponding access control User A 2024 / 1 / 119:55 Office 1 Access Control User A 2024 / 1 / 120:05 Office 1 Access Control User A 2024 / 1 / 120:25 Office 1 Access Control

[0044] According to Formula 3 and Table 2, when Tb = 100, Tnow-Tentrance = 35 (min), calculate the probability P(entrance)1 that user A is currently in the office,

[0045] P(entrance)1=1 / exp(35 / 100)=0.70.

[0046] S1-3. Analyze the user's device operation records to obtain the probability that the user is currently in the office, expressed as P(control):

[0047] P(control) is calculated according to Formula 4:

[0048] P(control)=1 / exp[(Tnow-Tcontrol) / Tc] Formula 4

[0049] In formula 4, Tnow represents the current time, Tcontrol represents the time when the user last controlled the device, and Tc is a constant.

[0050] When user A operates a device on a web page or mobile app, such as turning on a light or air conditioner, the system will record the operation data, including the user, time, operation device, and operation content. For the access control records of this embodiment, see Table 3.

[0051] Table 3: Equipment operation record

[0052] Username Equipment operating time Operation Object Operation Instructions User A 2024 / 1 / 120:05 Office 1 Lighting Open User A 2024 / 1 / 120:15 Office 1 Lighting Open User A 2024 / 1 / 120:35 Office 1 Lighting Open

[0053] According to Formula 4 and Table 2, when Tc=80, Tnow-Tcontrol=25(min), the probability P(control)1 that user A is currently in the office is calculated, P(control)1=1 / exp(25 / 80)=0.73.

[0054] S2. Based on formula 1 and the above calculation results, calculate the probability that the user is in the office, which is represented by P (working).

[0055] P(working)=1-(1-P(position))×(1-P(entrance))×(1-P(control)) Formula 1

[0056] In Formula 1, P(working) represents the probability that the user is currently in the office.

[0057] In this embodiment, P(working)1=1-(1-0.72)×(1-0.70)×(1-0.73)=0.98, that is, the probability that user A is in the office at the current time is 0.98.

[0058] S3. Determine whether to shut down office equipment.

[0059] The fixed threshold may be any one of 0.7, 0.75, 0.8, 0.85, 0.9 or 0.95. This embodiment takes the fixed threshold of 0.8 as an example.

[0060] When P(working) is greater than or equal to the set fixed threshold, the office equipment is not shut down. In this embodiment, P(working)1 is 0.98> the fixed threshold 0.8, which means that user A is still working overtime in office 1. The instruction to shut down the office equipment is not executed, and the lighting, air conditioning and water dispenser in the office remain on. After 60 minutes, the above three steps are repeated, and P(working)2 of user A is analyzed and calculated again.

[0061] Assume that 60 minutes have passed and the current time is 2024 / 1 / 1 22:00. User A leaves Office 1 at around 21:50, but does not scan his face at the door of the office, does not generate access control records, and does not turn off the lighting, air conditioning, and water dispenser of Office 1. The control method of the present invention is used to control the devices in Office 1 again. The relevant constant parameters are the same as the first analysis, which is divided into three steps:

[0062] S1. During the overtime period, the user's indoor positioning, access control records, and operation record data are regularly analyzed, and the probability that the user is currently in the office is estimated.

[0063] S1-1. Analyze the user's indoor positioning record to obtain the probability that the user is currently in the office, expressed as P(position). P(position) is calculated according to Formula 2.

[0064] The location records at the current time are shown in Table 4.

[0065] Table 4: Positioning record at 22:00

[0066] Username Positioning time Location User A 2024 / 1 / 120:00 Office 1 User A 2024 / 1 / 120:10 Office 1 User A 2024 / 1 / 120:30 Office 1

[0067] According to Formula 2 and Table 4, Tnow-Tposition=90(min), the probability P(position)2 that user A is currently in the office is calculated, P(position)2=1 / exp(90 / 90)=0.37.

[0068] S1-2. Analyze the user's access control record to obtain the probability that the user is currently in the office, which is represented by P(entrance). P(entrance) is calculated according to Formula 3.

[0069] The access control records at the current time are shown in Table 5.

[0070] Table 5: Access control record at 22:00

[0071] Username Recording time Record corresponding access control User A 2024 / 1 / 119:55 Office 1 Access Control User A 2024 / 1 / 120:05 Office 1 Access Control User A 2024 / 1 / 120:25 Office 1 Access Control

[0072] According to Formula 3 and Table 5, Tnow-Tentrance=95(min), the probability P(entrance)2 that user A is currently in the office is calculated, P(entrance)2=1 / exp(95 / 100)=0.39.

[0073] S1-3. The probability that the user is currently in the office is obtained by analyzing the user's device operation records, which is represented by P(control). The calculation of P(control) is based on Formula 4.

[0074] The access control records at the current time are shown in Table 6.

[0075] Table 6: Equipment operation record at 22:00

[0076] Username Equipment operating time Operation Object Operation Instructions User A 2024 / 1 / 120:05 Office 1 Lighting Open User A 2024 / 1 / 120:15 Office 1 Lighting Open User A 2024 / 1 / 120:35 Office 1 Lighting Open

[0077] According to Formula 4 and Table 6, Tnow-Tentrance=85(min), the probability P(control)2 that user A is currently in the office is calculated, P(control)2=1 / exp(85 / 80)=0.35.

[0078] S2. Based on formula 1 and the above calculation results, calculate the probability that the user is in the office, which is represented by P (working).

[0079] In this embodiment, P(working)2=1-(1-0.37)×(1-0.39)×(1-0.35)=0.75, that is, the probability that user A is in the office is 0.75.

[0080] S3. Determine whether to shut down office equipment.

[0081] In this embodiment, 0.75

Claims

1. A method for energy-saving control of office equipment, wherein the control method is to process and analyze the collected data through a computer to determine whether to control the shutdown of the office equipment, characterized in that: The control method specifically analyzes the user's indoor positioning, access control records, and operation record data at regular intervals during the overtime period, and infers the probability that the user is currently in the office, and then calculates the probability that the user is in the office according to Formula 1: P(working)=1-(1-P(position))×(1-P(entrance))×(1-P(control)) Formula 1 In formula 1, P(working) represents the probability that the user is currently in the office, P(position) represents the probability that the user is currently in the office obtained by analyzing the user's indoor positioning records, P(entrance) represents the probability that the user is currently in the office obtained by analyzing the user's access control records, and P(control) represents the probability that the user is currently in the office obtained by analyzing the user's device operation records; When P(working) is greater than or equal to a set fixed threshold, the instruction to close the office equipment is not executed, and the control method is repeated; if not, the office equipment is closed and the process ends.

2. The office equipment energy saving control method according to claim 1, characterized in that: P(position) is calculated based on Formula 2: P(position)=1 / exp[(Tnow-Tposition) / Ta] Formula 2 In formula 2, Tnow represents the current time, Tposition represents the time of the user's last indoor positioning, and Ta is a constant.

3. The office equipment energy saving control method according to claim 1, characterized in that: P(entrance) is calculated based on Formula 3: P(entrance)=1 / exp[(Tnow-Tentrance) / Tb] Formula 3 In formula 3, Tnow represents the current time, Tentrance represents the time when the user last passed the access control, and Tb is a constant.

4. The office equipment energy saving control method according to claim 1, characterized in that: P(control) is calculated according to Formula 4: P(control)=1 / exp[(Tnow-Tcontrol) / Tc] Formula 4 In Formula 4, Tnow represents the current time, Tcontrol represents the time when the user last controlled the device, and Tc is a constant.

5. The office equipment energy saving control method according to claim 1, characterized in that: The timed analysis is to analyze the probability of the user being in the office every 30 minutes, 60 minutes or 90 minutes.

6. The office equipment energy saving control method according to claim 1, characterized in that: The fixed threshold may be any one of 0.7, 0.75, 0.8, 0.85, 0.9 or 0.

95.

7. The office equipment energy saving control method according to claim 1, characterized in that: The office equipment includes lighting, air conditioning and water dispenser in the office.