Intelligent property management system based on internet of things platform

Abstract

The application discloses a smart property management system based on an Internet of Things platform and relates to the technical field of property management; the environment evaluation time interval is preset, the environment evaluation index is obtained by analyzing the environment influence parameters of each public area, the environment condition is converted into an intuitive numerical index, and the quality of the regional environment is conveniently and quickly judged by the property personnel; meanwhile, the abnormal public area can be quickly screened out by setting the reference threshold index, the visualization and precision of the environment management are realized, the property has a basis for decision-making in the environment management, once the abnormal public area is found, the air purification equipment is immediately started, and the evaluation effect is continuously monitored, if the purification measure effect is not good, the air purification equipment condition is further analyzed, the maintenance personnel is accurately dispatched or the property management personnel is informed, a closed-loop management mechanism of active response, continuous monitoring and optimization adjustment is formed, and the continuous good of the environment quality of the public area is effectively ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of property management, in particular to a smart property management system based on an Internet of Things platform. BACKGROUND

[0002] With the rapid development of urbanization, various residential communities are emerging, and the scale is continuously expanding, and the population is increasing, which makes the complexity and importance of property management more prominent.

[0003] The traditional property management mode gradually exposes many problems that are difficult to overcome when facing the diversification needs of modern communities, specifically:

[0004] There are defects in environmental detection and management, which cannot divide the public areas of the residence and monitor the environmental parameters of each public area for analysis, and according to the analysis results, targeted processing is performed;

[0005] There are defects in energy consumption management, which is not fine enough in energy consumption statistics, and it is difficult to accurately reach the level of different buildings and public area equipment, and it cannot timely discover energy consumption anomalies of buildings and equipment, and early warning potential energy waste problems, helping property management personnel to timely investigate the cause and take measures, leading to excessive energy consumption.

[0006] Therefore, a smart property management system based on an Internet of Things platform is proposed. SUMMARY

[0007] The purpose of the present application is to solve the problems raised in the background art by proposing a smart property management system based on an Internet of Things platform.

[0008] The purpose of the present application can be achieved by the following technical solution: a smart property management system based on an Internet of Things platform, comprising:

[0009] The Internet of Things module includes a sensing unit, a network unit, a processing unit, and a management unit;

[0010] The sensing unit: collects environmental impact parameters, energy consumption performance parameters, and equipment maintenance parameters in the residential area; wherein the environmental impact parameters include the concentration of fine particulate matter, the content of formaldehyde, and the concentration of carbon dioxide in the air of the public area of the residence; the energy consumption performance parameters include the power consumption data of different buildings and public areas in the residence; the equipment maintenance parameters include the equipment types and maintenance records of various equipment in the public area of the residence;

[0011] The network unit: uses a pre-constructed Internet of Things communication network to transmit the environmental impact parameters, energy consumption performance parameters, and equipment maintenance parameters collected by the sensing unit to the processing unit;

[0012] The processing unit: establishes a data storage library, classifies and stores the environmental impact parameters, energy consumption performance parameters and equipment maintenance parameters transmitted from the sensing unit, and analyzes the stored environmental impact parameters and energy consumption performance parameters respectively to obtain the environment evaluation index ypg and the residential energy consumption index yt; g represents the number of public areas;

[0013] The management unit: receives the analyzed environment evaluation index ypg and residential energy consumption index yt, and performs corresponding steps.

[0014] As a preferred embodiment of the present application, the environment evaluation index ypg is obtained by analyzing the stored environmental impact parameters, specifically:

[0015] The environment evaluation time interval of each public area is preset, and after reaching the environment evaluation time interval of a certain public area, the fine particle concentration, formaldehyde content and carbon dioxide concentration of each preset collection point in the corresponding public area within the set time interval are extracted;

[0016] The highest fine particle concentration, highest formaldehyde content and highest carbon dioxide concentration of each preset collection point in the corresponding public area within the set time interval are identified, and the highest fine particle concentration, highest formaldehyde content and highest carbon dioxide concentration corresponding to each preset collection point in the corresponding public area are calculated respectively to obtain the fine particle evaluation value, formaldehyde content evaluation value and carbon dioxide concentration evaluation value of the corresponding public area within the set time interval;

[0017] The fine particle concentration standard reference value, formaldehyde content standard reference value and carbon dioxide concentration reference standard value of the fine particle concentration, formaldehyde content and carbon dioxide concentration corresponding to each public area are preset;

[0018] The fine particle concentration standard reference value, formaldehyde content standard reference value and carbon dioxide concentration reference standard value of the corresponding public area are extracted and marked as 、 and respectively, and the fine particle evaluation value, formaldehyde content evaluation value and carbon dioxide concentration evaluation value of the corresponding public area within the set time interval are marked as mag, mtg and mcg respectively;

[0019] The fine particle evaluation value mag, formaldehyde content evaluation value mtg and carbon dioxide concentration evaluation value mcg of the corresponding public area within the set time interval are substituted into the formula for weighted calculation to obtain the environment evaluation index ypg of the corresponding public area within the set time interval; wherein a1, a2 and a3 are the impact weight factors corresponding to the fine particle evaluation value mag, formaldehyde content evaluation value mtg and carbon dioxide concentration evaluation value mcg respectively.

[0020] In a preferred embodiment of the present invention, the residential energy consumption index yt is obtained by analyzing the stored energy consumption performance parameters, specifically as follows:

[0021] The system sets a preset energy consumption assessment time interval for each building within the residential complex. Once the preset energy consumption assessment time interval is reached, it extracts the cumulative electricity consumption of each building within the residential complex over a set time window prior to the current time.

[0022] Simultaneously, extract the historical cumulative electricity consumption of each building in the residential complex for X groups and calculate the average value for each group. Use the calculated average value of each group as the reference electricity consumption for each building in the residential complex; X > 5;

[0023] The electricity consumption ratio of each building in the residential building is obtained by calculating the ratio between the cumulative electricity consumption of each building within a set time window before the current time point and the corresponding reference electricity consumption. That is, by dividing the cumulative electricity consumption by the corresponding reference electricity consumption.

[0024] Construct a Cartesian coordinate system, with the horizontal axis representing the building number within the residential area and the vertical axis representing the electricity consumption ratio. Based on the building number, plot the corresponding numerical points of the electricity consumption ratio of each building in the Cartesian coordinate system. Preset a reference electricity consumption ratio, plot a reference line corresponding to the reference electricity consumption ratio in the Cartesian coordinate system, count the number of numerical points above the reference line as the number of energy consumption anomalies, and calculate the proportion of the number of energy consumption anomalies in the total number of buildings, which is recorded as the energy consumption ratio.

[0025] The mean value of each set of numerical points located above the reference line is calculated, and the energy consumption excess value is obtained by subtracting the preset reference power consumption ratio from the calculated mean value.

[0026] The weighting coefficients corresponding to the preset energy consumption ratio and energy consumption excess value are then multiplied by the corresponding preset weighting coefficients, and the results are summed to obtain the residential energy consumption index yt.

[0027] In a preferred embodiment of the present invention, the corresponding steps are performed upon receiving the analyzed environmental assessment index (ypg):

[0028] The system presets a reference threshold index for the environmental assessment index ypg corresponding to each public area. It receives the environmental assessment index ypg of each public area within a set time interval and compares it with the preset reference threshold index. If the environmental assessment index ypg of a public area within the set time interval is greater than the preset reference threshold index, the public area with the greater than reference threshold index is marked as an abnormal public area.

[0029] Turn on the air purification equipment in the abnormal public area and immediately analyze the environmental assessment index (YPG) of the abnormal public area within the next set time interval. If the comparison result is still greater than the preset reference threshold index, extract the maintenance assessment duration and the maintenance time of the air purification equipment in the abnormal public area. Calculate the time difference between the maintenance time of the most recent maintenance and the current time to obtain the maintenance interval duration of the air purification equipment. If the maintenance assessment duration of the air purification equipment in the abnormal public area is greater than the maintenance interval duration, select the maintenance personnel closest to the starting point, using the abnormal public area as the starting point, and send the location of the abnormal public area to the nearest maintenance personnel. Otherwise, send the location of the abnormal public area to the property management personnel.

[0030] As a preferred embodiment of the present invention, the specific steps for obtaining the maintenance assessment time are as follows:

[0031] Extract the service life and number of malfunctions of the air purification equipment from the maintenance records of the air purification equipment in abnormal public areas, and combine them into data pairs for the air purification equipment, namely (service life, number of malfunctions).

[0032] Set up a data pair matching library corresponding to different equipment types, extract the data pair matching library corresponding to air purification equipment, and set the matching range of each set of data pairs in the data pair matching library, namely (service life range, failure number range). Input the data pairs of air purification equipment into the corresponding data pair matching library to obtain the corresponding data pair matching range. Set a reference maintenance interval for each set of data pair matching range, and use the matched reference maintenance interval as the maintenance evaluation time of air purification equipment.

[0033] In a preferred embodiment of the present invention, the corresponding steps are performed upon receiving the analyzed residential energy consumption index yt:

[0034] Based on the residential energy consumption index yt of the building, construct a residential electricity consumption report with a set time window before the current time point, and send the residential electricity consumption report to the property management personnel;

[0035] The building numbers corresponding to the numerical points located above the reference line are designated as buildings with higher electricity consumption, and the building numbers corresponding to the remaining numerical points are designated as buildings with lower electricity consumption.

[0036] The residential energy consumption index yt of each building, the buildings with higher electricity consumption, the buildings with lower electricity consumption, and the constructed Cartesian coordinate system are filled into a pre-built report template. After filling, it serves as the residential electricity consumption report for the time window set before the current time point.

[0037] In a preferred embodiment of the present invention, a public area equipment power consumption report for a set time window prior to the current time point can also be constructed, specifically as follows:

[0038] Extract the power consumption of each device in the public area within a set time window before the current time point, and record it as pk1; the initial window is set to 1 month;

[0039] Extract the historical power consumption of each device in the public area (group F); where F > 3, and the specific value is set by the technicians; calculate the average power consumption of each device in the public area (group F) to obtain the reference power consumption of each device in the public area. If the power consumption of a device in the public area within a set time window before the current time point is greater than the set reference power consumption, then the device with the greater than the set reference power consumption is marked as the evaluation device; analyze the hidden danger assessment index (puy) of the evaluation device, and sort the hidden danger assessment index (puy) of each group of evaluation devices from largest to smallest. After sorting, it is used as the equipment inspection sequence.

[0040] The power consumption, hazard assessment index (PUY), and equipment inspection sequence of each device in the public area are filled into a pre-built report template. Once filled, it serves as the power consumption report for public area devices within a set time window before the current time point.

[0041] As a preferred embodiment of the present invention, the specific steps for obtaining the hazard assessment index (PUY) of the assessment equipment are as follows:

[0042] Obtain the historical number of failures of the assessed equipment from its maintenance records, denoted as pk2; calculate the maintenance interval of the assessed equipment, denoted as pk3; and apply the formula... The power consumption pk1, historical fault count pk2, and maintenance interval duration pk3 of the evaluated equipment are weighted and calculated to obtain the hidden danger assessment index puy of the evaluated equipment; where ph1, ph2, and ph3 represent the reference power consumption, reference fault count, and maintenance assessment duration, respectively; b1, b2, and b3 are the influence weight factors of power consumption pk1, historical fault count pk2, and maintenance interval duration pk3, respectively.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] This invention analyzes environmental impact parameters of various public areas by setting preset environmental assessment time intervals to derive an environmental assessment index, transforming environmental conditions into intuitive numerical indicators that facilitate property management personnel in quickly assessing the quality of the area's environment. Simultaneously, by setting reference threshold indices, abnormal public areas can be rapidly identified, achieving visualization and precision in environmental management. This provides property management with a basis for environmental management decisions. Once an abnormal public area is identified, air purification equipment is immediately activated, and its effectiveness is continuously monitored and assessed. If the purification measures are ineffective, the condition of the air purification equipment is further analyzed, and maintenance personnel are precisely dispatched or property management personnel are notified. This forms a closed-loop management mechanism of proactive response, continuous monitoring, and optimization, effectively ensuring the continued good environmental quality of public areas.

[0045] This invention calculates the residential energy consumption index and constructs a residential electricity consumption report, statistically analyzing buildings with high and low electricity consumption. It presents the overall energy consumption distribution of the community and the energy consumption of each building in an intuitive chart and data format, enabling property management to quickly grasp the community's energy consumption situation and providing a strong basis for decision-making in formulating targeted energy-saving measures. It also helps homeowners understand their own electricity consumption levels and promotes energy-saving awareness.

[0046] This invention calculates the electricity consumption ratio by comparing current electricity consumption with historical data, constructs a Cartesian coordinate system to analyze energy consumption anomalies, and delves into the information behind energy consumption data, providing more accurate data support for energy conservation management.

[0047] This invention constructs a public area equipment electricity consumption report, calculates a hidden danger assessment index by analyzing equipment power consumption, historical failure frequency, and maintenance interval, and sorts equipment according to hidden dangers to form an inspection sequence, prioritizing the handling of high-risk equipment. This helps to discover and solve problems in time before equipment failure occurs, reduces the impact of sudden equipment failures on the normal operation of the community, improves the initiative and preventiveness of property management, and ensures the convenience of residents' lives. Attached Figure Description

[0048] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0049] Fig. 1 This is a schematic diagram of the principle of the present invention;

[0050] Fig. 2 This is a schematic diagram of constructing a planar rectangular coordinate system in this invention. Detailed Implementation

[0051] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Please see Figs. 1-2 As shown, the smart property management system based on the Internet of Things (IoT) platform includes an IoT module;

[0053] The Internet of Things (IoT) module includes a sensing unit, a network unit, a processing unit, and a management unit.

[0054] The sensing unit is used to collect environmental impact parameters, energy consumption performance parameters, and equipment maintenance parameters within the residential area. Among them, environmental impact parameters include the concentration of fine particulate matter, formaldehyde content, and carbon dioxide concentration in the air of the residential public area; energy consumption performance parameters include electricity consumption data of different buildings and public areas within the residential area; and equipment maintenance parameters include the equipment type and maintenance records of various equipment in the residential public area.

[0055] It should be noted that environmental impact parameters are collected through fine particulate matter sensors, formaldehyde sensors, and carbon dioxide sensors pre-deployed in the common areas of the residential buildings; and the common areas of the residential buildings include, but are not limited to, the entrance halls of each building in the community, the community meeting rooms, and the underground parking lot, etc.

[0056] Energy consumption performance parameters are measured by installing smart meters at the main distribution box of each residential building and independent smart meters in public areas; the data collection frequency of the smart meters in public areas is consistent with that of the building meters.

[0057] Equipment maintenance parameters are recorded and uploaded to a pre-built maintenance database each time maintenance is performed on various types of equipment in public areas, such as elevators, corridor lighting, and pump rooms.

[0058] The network unit is used to transmit environmental impact parameters, energy consumption parameters, and equipment maintenance parameters collected by the sensing unit to the processing unit using a pre-built IoT communication network. The IoT communication network is established with a wired network (Ethernet) as the backbone and a wireless network (Wi-Fi) as a supplement to ensure the timeliness and accuracy of data transmission.

[0059] It should be noted that the network uses encrypted transmission to prevent data from being stolen or tampered with during transmission.

[0060] The processing unit is used to establish a data repository, classify and store the environmental impact parameters, energy consumption performance parameters and equipment maintenance parameters transmitted from the sensing unit, and analyze the stored environmental impact parameters and energy consumption performance parameters respectively to obtain the environmental assessment index ypg and the residential energy consumption index yt; g represents the number of the public area;

[0061] It should be noted that g = 1, 2, ..., k, where k is the total number of common areas.

[0062] The environmental impact parameters stored were analyzed to obtain the environmental assessment index (ypg), specifically:

[0063] The environmental assessment time interval for each public area is preset. After the environmental assessment time interval for a certain public area is reached, the fine particulate matter concentration, formaldehyde content and carbon dioxide concentration of each preset collection point in the corresponding public area are extracted within the set time interval. The number of sensors for each preset collection point is determined according to the area area of ​​the corresponding public area.

[0064] Identify the highest fine particulate concentration, highest formaldehyde content, and highest carbon dioxide concentration at each preset collection point in the corresponding public area within a set time interval; and calculate the average of the highest fine particulate concentration, highest formaldehyde content, and highest carbon dioxide concentration at each preset collection point in the corresponding public area to obtain the fine particulate assessment value, formaldehyde content assessment value, and carbon dioxide concentration assessment value of the corresponding public area within the set time interval.

[0065] Preset reference values ​​for fine particulate matter concentration, formaldehyde content, and carbon dioxide concentration for each public area; these values ​​are set by technicians based on air quality standards and the area and location of the public areas.

[0066] Extract the reference values ​​for fine particulate matter concentration, formaldehyde content, and carbon dioxide concentration in the corresponding public areas and label them as follows: , as well as Meanwhile, the fine particulate matter assessment value, formaldehyde content assessment value, and carbon dioxide concentration assessment value of the corresponding public area within the set time interval are marked as mag, mtg, and mcg, respectively.

[0067] Substitute the fine particulate matter assessment value (mag), formaldehyde content assessment value (mtg), and carbon dioxide concentration assessment value (mcg) of the corresponding public area within the specified time interval into the formula. The environmental assessment index ypg of the corresponding public area within a set time interval is obtained by weighted calculation; where a1, a2 and a3 are the influence weight factors corresponding to the fine particulate matter assessment value mag, the formaldehyde content assessment value mtg and the carbon dioxide concentration assessment value mcg, respectively.

[0068] It should be noted that by setting the environmental assessment time interval, environmental assessments of public areas can be conducted regularly. This ensures the timeliness of environmental monitoring. For example, for densely populated public areas in the community, such as community meeting rooms and underground parking lots, assessments at appropriate time intervals (such as hourly or daily) can promptly detect deterioration in air quality and provide residents with a healthier environment for activities.

[0069] The residential energy consumption index yt is obtained by analyzing the energy consumption performance parameters of the storage system.

[0070] The system presets the energy consumption assessment time interval for each building within the residential complex. Once the preset energy consumption assessment time interval is reached, it extracts the cumulative electricity consumption of each building within the residential complex within a set time window prior to the current time point. The initial window is set to 1 month.

[0071] Simultaneously, the historical cumulative electricity consumption of each building in the residential complex is extracted (X groups) and the average value is calculated for each group. The calculated average value of each group is used as the reference electricity consumption for each building in the residential complex; X > 5, and the specific value is set by the technical personnel.

[0072] The electricity consumption ratio of each building in the residential building is obtained by calculating the ratio between the cumulative electricity consumption of each building within a set time window before the current time point and the corresponding reference electricity consumption. That is, by dividing the cumulative electricity consumption by the corresponding reference electricity consumption.

[0073] Construct a Cartesian coordinate system, with the horizontal axis representing the building number within the residential area and the vertical axis representing the electricity consumption ratio. Based on the building number, plot the corresponding numerical points of the electricity consumption ratio of each building in the Cartesian coordinate system. Preset a reference electricity consumption ratio, plot a reference line corresponding to the reference electricity consumption ratio in the Cartesian coordinate system, count the number of numerical points above the reference line as the number of energy consumption anomalies, and calculate the proportion of the number of energy consumption anomalies in the total number of buildings, which is recorded as the energy consumption ratio.

[0074] The mean value of each set of numerical points located above the reference line is calculated, and the energy consumption excess value is obtained by subtracting the preset reference power consumption ratio from the calculated mean value.

[0075] The weighting coefficients corresponding to the preset energy consumption ratio and energy consumption excess value are multiplied by the corresponding preset weighting coefficients, and then summed to obtain the residential energy consumption index yt.

[0076] It should be noted that analyzing the residential energy consumption index yt can more scientifically reflect the energy consumption status of a building; this index can serve as a unified indicator, providing strong support for property management to formulate energy-saving measures, investigate the causes of abnormal energy consumption, and make energy management decisions.

[0077] The management unit is used to receive the environmental assessment index ypg and residential energy consumption index yt obtained from the analysis, and to execute the corresponding steps;

[0078] Specifically:

[0079] Environmental assessment index ypg: A reference threshold index is preset for the environmental assessment index ypg of each public area. The environmental assessment index ypg of each public area within a set time interval is received and compared with the preset reference threshold index. If the environmental assessment index ypg of a public area within the set time interval is greater than the preset reference threshold index, the public area with the greater than the reference threshold index is marked as an abnormal public area.

[0080] Turn on the air purification equipment in the abnormal public area and immediately analyze the environmental assessment index (YPG) of the abnormal public area within the next set time interval. If the comparison result is still greater than the preset reference threshold index, extract the maintenance assessment time and the maintenance time of the air purification equipment in the abnormal public area. Calculate the time difference between the maintenance time of the most recent maintenance and the current time to obtain the maintenance interval time of the air purification equipment. If the maintenance assessment time of the air purification equipment in the abnormal public area is greater than the maintenance interval time, select the maintenance personnel closest to the starting point, using the abnormal public area as the starting point, and send the location of the abnormal public area to the nearest maintenance personnel. Otherwise, send the location of the abnormal public area to the property management personnel.

[0081] It's important to note that by setting a preset reference threshold index and comparing it with the Environmental Assessment Index (YPG) of each public area, areas with abnormal environmental quality can be quickly identified. Once an abnormal area is identified, immediately turning on air purification equipment can improve air quality in the first instance, promptly reducing the concentration of pollutants and minimizing the impact on residents' health and comfort. For example, in an underground parking lot, if the carbon dioxide concentration is too high, causing the YPG to exceed the reference threshold, turning on air purification equipment can accelerate air circulation and purification, allowing air quality to return to normal as quickly as possible. After taking this measure, the YPG is analyzed and compared again within the next set time interval, forming a closed-loop monitoring and feedback mechanism. This allows for a direct understanding of the effectiveness of the measures taken. If the index still exceeds the preset threshold, it indicates that the current purification measures may not have achieved the expected results, requiring further investigation to determine the cause. This helps to continuously ensure good air quality in public areas and prevent environmental problems from persisting undetected for extended periods.

[0082] The specific steps to obtain the maintenance assessment duration are as follows:

[0083] Extract the service life and number of malfunctions of the air purification equipment from the maintenance records of the air purification equipment in abnormal public areas, and combine them into data pairs for the air purification equipment, namely (service life, number of malfunctions).

[0084] Set up a data pair matching library corresponding to different equipment types, extract the data pair matching library corresponding to air purification equipment, and set the matching range of each set of data pairs in the data pair matching library, namely (service life range, failure number range). Input the data pairs of air purification equipment into the corresponding data pair matching library to obtain the corresponding data pair matching range. Set a reference maintenance interval for each set of data pair matching range, and use the matched reference maintenance interval as the maintenance evaluation time of air purification equipment.

[0085] It should be noted that the longer the service life and the more failures, the shorter the corresponding reference maintenance interval.

[0086] Residential Energy Consumption Index yt: Based on the residential energy consumption index yt of the buildings within the residential complex, construct a residential electricity consumption report for a set time window prior to the current time point, and send the residential electricity consumption report to the property management personnel;

[0087] Build a residential electricity consumption report for a set time window prior to the current time:

[0088] The building numbers corresponding to the numerical points located above the reference line are designated as buildings with higher electricity consumption, and the building numbers corresponding to the remaining numerical points are designated as buildings with lower electricity consumption.

[0089] The residential energy consumption index yt of each building, the buildings with higher electricity consumption, the buildings with lower electricity consumption, and the constructed Cartesian coordinate system are filled into the pre-built report template. After filling, it is used as the residential electricity consumption report for the set time window before the current time point.

[0090] It can also generate a public area equipment power consumption report for a set time window prior to the current time, specifically:

[0091] Extract the power consumption of each device in the public area within a set time window before the current time point, and record it as pk1; the initial window is set to 1 month;

[0092] Extract the historical power consumption of each device in the public area (group F); where F > 3, and the specific value is set by the technicians; calculate the average power consumption of each device in the public area (group F) to obtain the reference power consumption of each device in the public area; if the power consumption of a device in the public area within a set time window before the current time point is greater than the set reference power consumption, then the device with the greater than the set reference power consumption is marked as the evaluation device.

[0093] The historical number of failures of the evaluation equipment is obtained from the maintenance records of the evaluation equipment and recorded as pk2; the maintenance interval of the evaluation equipment is calculated and recorded as pk3.

[0094] According to the formula The power consumption pk1, historical failure count pk2, and maintenance interval duration pk3 of the evaluated equipment are weighted and calculated to obtain the hidden danger assessment index puy of the evaluated equipment; where ph1, ph2, and ph3 represent the reference power consumption, reference failure count, and maintenance assessment duration, respectively; the reference failure count is updated and set in real time according to the service life of the equipment; b1, b2, and b3 are the influence weighting factors of power consumption pk1, historical failure count pk2, and maintenance interval duration pk3, respectively.

[0095] The hidden danger assessment index (PUY) of each group of equipment is sorted from largest to smallest, and the sorted items are used as the equipment inspection sequence.

[0096] Fill the power consumption, hazard assessment index (PUY), and equipment inspection sequence of each device in the public area into a pre-built report template. Once filled, it will serve as the power consumption report of the public area devices for the set time window before the current time point.

[0097] It should be noted that by extracting the electricity consumption pk1 of each device in the public area within a specific time window (initially set to 1 month), and combining it with the historical electricity consumption of group F (F>3) to calculate the reference electricity consumption, a comprehensive long-term and short-term assessment of device energy consumption is formed. This allows for accurate understanding of the energy consumption levels of each device at different stages, and timely detection of whether the current energy consumption of the device deviates from the normal range. For example, it can quickly identify situations where the electricity consumption of lighting equipment in a certain public area has increased significantly this month compared to the average electricity consumption of previous months, which helps to accurately locate individual devices with abnormal energy consumption and provides a reliable data foundation for further analysis and resolution of energy consumption issues. Based on the comparison between the current electricity consumption of the device and the reference electricity consumption, devices with a consumption exceeding the reference consumption are marked as evaluation devices, realizing proactive screening of devices that may have abnormal energy consumption. This proactive early warning mechanism can detect equipment energy consumption problems in their early stages, avoiding energy waste caused by prolonged undetected high energy consumption. It helps property management personnel to intervene in advance and take corresponding measures such as checking the operating status of equipment and investigating potential faults, thereby effectively controlling the overall energy cost of the public area.

[0098] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A smart property management system based on an Internet of Things (IoT) platform, characterized in that: include: The Internet of Things (IoT) module includes a sensing unit, a network unit, a processing unit, and a management unit. Sensing Unit: Collects environmental impact parameters, energy consumption parameters, and equipment maintenance parameters within the residential area; among them, environmental impact parameters include the concentration of fine particulate matter, formaldehyde content, and carbon dioxide concentration in the air of the residential common areas; energy consumption parameters include electricity consumption data of different buildings and common areas within the residential area; equipment maintenance parameters include the equipment type and maintenance records of various equipment in the residential common areas. Network unit: Utilizes a pre-built Internet of Things (IoT) communication network to transmit environmental impact parameters, energy consumption performance parameters, and equipment maintenance parameters collected by the sensing unit to the processing unit; Processing Unit: Establishes a data repository to classify and store environmental impact parameters, energy consumption performance parameters, and equipment maintenance parameters transmitted from the sensing unit. Simultaneously, it analyzes the stored environmental impact parameters and energy consumption performance parameters to obtain the environmental assessment index ypg and the residential energy consumption index yt; g represents the number of the public area. The residential energy consumption index yt is obtained by analyzing the energy consumption performance parameters of the storage system. The system sets a preset energy consumption assessment time interval for each building within the residential complex. Once the preset energy consumption assessment time interval is reached, it extracts the cumulative electricity consumption of each building within the residential complex over a set time window prior to the current time. Simultaneously, extract the historical cumulative electricity consumption of each building in the residential complex for X groups and calculate the average value for each group. Use the calculated average value of each group as the reference electricity consumption for each building in the residential complex; X > 5; The electricity consumption ratio of each building in the residential building is obtained by calculating the ratio between the cumulative electricity consumption of each building within a set time window before the current time point and the corresponding reference electricity consumption. That is, by dividing the cumulative electricity consumption by the corresponding reference electricity consumption. Construct a Cartesian coordinate system, with the horizontal axis representing the building number within the residential area and the vertical axis representing the electricity consumption ratio. Based on the building number, plot the corresponding numerical points of the electricity consumption ratio of each building in the Cartesian coordinate system. Preset a reference electricity consumption ratio, plot a reference line corresponding to the reference electricity consumption ratio in the Cartesian coordinate system, count the number of numerical points above the reference line as the number of energy consumption anomalies, and calculate the proportion of the number of energy consumption anomalies in the total number of buildings, which is recorded as the energy consumption ratio. The mean value of each set of numerical points located above the reference line is calculated, and the energy consumption excess value is obtained by subtracting the preset reference power consumption ratio from the calculated mean value. The weighting coefficients corresponding to the preset energy consumption ratio and energy consumption excess value are multiplied by the corresponding preset weighting coefficients, and then summed to obtain the residential energy consumption index yt. Management Unit: Receives the environmental assessment index (ypg) and residential energy consumption index (yt) obtained from the analysis, and executes the corresponding steps; The residential energy consumption index yt obtained from the analysis is received and the corresponding steps are performed, specifically: Based on the residential energy consumption index yt of the building, construct a residential electricity consumption report with a set time window before the current time point, and send the residential electricity consumption report to the property management personnel; The building numbers corresponding to the numerical points located above the reference line are designated as buildings with higher electricity consumption, and the building numbers corresponding to the remaining numerical points are designated as buildings with lower electricity consumption. The residential energy consumption index yt of each building, the buildings with higher electricity consumption, the buildings with lower electricity consumption, and the constructed Cartesian coordinate system are filled into a pre-built report template. After filling, it serves as the residential electricity consumption report for the time window set before the current time point.

2. The smart property management system based on an Internet of Things platform according to claim 1, characterized in that, The environmental impact parameters stored were analyzed to obtain the environmental assessment index (ypg), specifically: The environmental assessment time interval for each public area is preset. After the environmental assessment time interval for a certain public area is reached, the fine particulate matter concentration, formaldehyde content and carbon dioxide concentration of each preset collection point in the corresponding public area are extracted within the set time interval. Identify the highest fine particulate concentration, highest formaldehyde content, and highest carbon dioxide concentration at each preset collection point in the corresponding public area within a set time interval; and calculate the average of the highest fine particulate concentration, highest formaldehyde content, and highest carbon dioxide concentration at each preset collection point in the corresponding public area to obtain the fine particulate assessment value, formaldehyde content assessment value, and carbon dioxide concentration assessment value of the corresponding public area within the set time interval. Preset reference values ​​for fine particulate matter concentration, formaldehyde content, and carbon dioxide concentration for each public area; Extract the reference values ​​for fine particulate matter concentration, formaldehyde content, and carbon dioxide concentration in the corresponding public areas and label them as follows: , as well as Meanwhile, the fine particulate matter assessment value, formaldehyde content assessment value, and carbon dioxide concentration assessment value of the corresponding public area within the set time interval are marked as mag, mtg, and mcg, respectively. Substitute the fine particulate matter assessment value (mag), formaldehyde content assessment value (mtg), and carbon dioxide concentration assessment value (mcg) of the corresponding public area within the specified time interval into the formula. The environmental assessment index ypg of the corresponding public area within a set time interval is obtained by weighted calculation; where a1, a2 and a3 are the influence weight factors corresponding to the fine particulate matter assessment value mag, the formaldehyde content assessment value mtg and the carbon dioxide concentration assessment value mcg, respectively.

3. The smart property management system based on an Internet of Things platform according to claim 2, characterized in that, The environmental assessment index (ypg) obtained from the analysis is received, and the corresponding steps are performed, specifically: The system presets a reference threshold index for the environmental assessment index ypg corresponding to each public area. It receives the environmental assessment index ypg of each public area within a set time interval and compares it with the preset reference threshold index. If the environmental assessment index ypg of a public area within the set time interval is greater than the preset reference threshold index, the public area with the greater than reference threshold index is marked as an abnormal public area. Turn on the air purification equipment in the abnormal public area and immediately analyze the environmental assessment index (YPG) of the abnormal public area within the next set time interval. If the comparison result is still greater than the preset reference threshold index, extract the maintenance assessment duration and the maintenance time of the air purification equipment in the abnormal public area. Calculate the time difference between the maintenance time of the most recent maintenance and the current time to obtain the maintenance interval duration of the air purification equipment. If the maintenance assessment duration of the air purification equipment in the abnormal public area is greater than the maintenance interval duration, select the maintenance personnel closest to the starting point, using the abnormal public area as the starting point, and send the location of the abnormal public area to the nearest maintenance personnel. Otherwise, send the location of the abnormal public area to the property management personnel.

4. The smart property management system based on an Internet of Things platform according to claim 3, characterized in that, The specific steps to obtain the maintenance assessment duration are as follows: Extract the service life and number of malfunctions of the air purification equipment from the maintenance records of the air purification equipment in abnormal public areas, and combine them into data pairs for the air purification equipment, namely (service life, number of malfunctions). Set up a data pair matching library corresponding to different equipment types, extract the data pair matching library corresponding to air purification equipment, and set the matching range of each set of data pairs in the data pair matching library, namely (service life range, failure number range). Input the data pairs of air purification equipment into the corresponding data pair matching library to obtain the corresponding data pair matching range. Set a reference maintenance interval for each set of data pair matching range, and use the matched reference maintenance interval as the maintenance evaluation time of air purification equipment.

5. The smart property management system based on an Internet of Things platform according to claim 4, characterized in that, It can also generate a public area equipment power consumption report for a set time window prior to the current time, specifically: Extract the power consumption of each device in the public area within a set time window before the current time point, and record it as pk1; the initial window is set to 1 month; Extract the historical power consumption of each device in the public area (group F); where F > 3; calculate the average power consumption of each device in the public area (group F) to obtain the reference power consumption of each device in the public area. If the power consumption of a device in the public area within a set time window before the current time point is greater than the set reference power consumption, then the device with the greater than the set reference power consumption is marked as the evaluation device; analyze the hidden danger assessment index (puy) of the evaluation device, and sort the hidden danger assessment index (puy) of each group of evaluation devices from largest to smallest. After sorting, it is used as the equipment inspection sequence. The power consumption, hazard assessment index (PUY), and equipment inspection sequence of each device in the public area are filled into a pre-built report template. Once filled, it serves as the power consumption report for public area devices within a set time window before the current time point.

6. The smart property management system based on an Internet of Things platform according to claim 5, characterized in that, The specific steps to obtain the hazard assessment index (PUY) of the evaluated equipment are as follows: Obtain the historical number of failures of the assessed equipment from its maintenance records, denoted as pk2; calculate the maintenance interval of the assessed equipment, denoted as pk3; and apply the formula... The power consumption pk1, historical fault count pk2, and maintenance interval duration pk3 of the evaluated equipment are weighted and calculated to obtain the hidden danger assessment index puy of the evaluated equipment; where ph1, ph2, and ph3 represent the reference power consumption, reference fault count, and maintenance assessment duration, respectively; b1, b2, and b3 are the influence weight factors of power consumption pk1, historical fault count pk2, and maintenance interval duration pk3, respectively.

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