Intelligent community global property management method and system

Abstract

The invention discloses a global property management method and system for a smart community, and relates to the technical field of property management systems, and the method comprises the steps: generating an emergency factor based on the influence range of a power fault point, obtaining the position of the power fault point in a building monomer, dividing the building monomer into a first set and a second set, and generating a selection factor for each building monomer in the second set by combining the emergency factor with the elevator operation condition, sorting the power failure points in the second set according to the selection factors, integrating the first set and the second set into a management list, and when the power failure point of the current building monomer in the management list is processed, performing the operation of the elevator. And dynamically sorting the remaining building monomers in the management list in combination with the distance information between the building monomers. When a plurality of power failure points appear in the smart community at the same time, the management system performs hierarchical management on the building monomers and dynamically adjusts the sequence of the remaining building monomers in the management list, thereby realizing optimal path planning, reducing resource waste and improving management efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of property management systems, and in particular to a global property management method and system for a smart community. Background Art

[0002] Smart communities are an important part of smart city construction. They aim to transform traditional residential communities into digital, networked, and intelligent community ecosystems through modern information technology and intelligent means. Smart communities are people-centric and supported by technology. They integrate advanced technologies such as the Internet of Things (IoT), cloud computing, big data, and artificial intelligence (AI) to build an efficient, convenient, safe, and green community environment, and comprehensively improve residents' quality of life and management efficiency.

[0003] The prior art has the following deficiencies:

[0004] When multiple power failure points occur simultaneously in a smart community, the existing management system mostly relies on fixed fault response time or repair time, but fails to deeply evaluate the actual impact range of the power failure point. In the case of power failure points occurring simultaneously in multiple buildings, the existing system may not be able to accurately evaluate multiple factors such as the severity of the failure, the impact range, and the number of residents. As a result, management resources may be concentrated on small-scale or low-priority failures, ignoring those that have a more serious impact on a larger area and more residents, affecting processing efficiency and optimal resource allocation;

[0005] Based on this, the present invention proposes a global property management method and system for a smart community. When multiple power failure points occur simultaneously in a smart community, the building units are managed in a hierarchical manner, and the order of the remaining building units in the management list is dynamically adjusted to achieve optimal path planning, reduce resource waste and improve management efficiency. Summary of the invention

[0006] The purpose of the present invention is to provide a global property management method and system for a smart community to address the deficiencies in the background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a global property management method for a smart community, the management method comprising the following steps:

[0008] The management system obtains the information of building units in the smart community through the property platform. When power fault points appear in multiple building units at the same time, an emergency factor is generated based on the impact range of the power fault point. After obtaining the location of the power fault point in the building unit, the building units are respectively classified into the first set and the second set;

[0009] The power fault points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set, and the power fault points in the second set are sorted according to the selection factor;

[0010] The first set and the second set are integrated into a management list. When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted based on the distance information between the building units.

[0011] In a preferred embodiment, when power failure points occur simultaneously in multiple building units, generating an emergency factor based on the impact range of the power failure point includes the following steps:

[0012] The historical impact data and real-time impact data of the power fault point are obtained, the historical impact data includes the historical impact amplitude, and the real-time impact data includes the real-time impact amplitude. The real-time impact amplitude and the historical impact amplitude are normalized so that the value range of the real-time impact amplitude and the historical impact amplitude is mapped to [0,1]. The normalized real-time impact amplitude and historical impact amplitude are summed to obtain the emergency factor.

[0013] In a preferred embodiment, the power failure points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set, and the power failure points in the second set are sorted according to the selection factor, including the following steps:

[0014] In the first set, all power failure points are sorted from large to small according to the emergency factor. In the second set, the elevator operation status of the building where the power failure point is located is obtained, the elevator coefficient is calculated, and the elevator coefficient and the emergency factor are comprehensively calculated to obtain the selection factor, which is expressed as:

[0015] , where is the selection factor, is the elevator coefficient, is an emergency factor. After obtaining the selection factors of all power fault points in the second set, all power fault points are sorted from large to small according to the selection factors.

[0016] In a preferred embodiment, the first set and the second set are integrated into a management list. When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted in combination with the distance information between the building units, including the following steps:

[0017] The first set and the second set are integrated into a management list. In the management list, after the first power fault point ranked in the second set is located at the last power fault point ranked in the first set, after the maintenance personnel completes the maintenance of the first power fault point in the management list, the management system obtains the current building unit location of the repaired power fault point, calculates the distance between the building units where other power fault points in the management list are located and the current building unit, and recalculates the priority index of each power fault point based on the distance information between the building units, obtains the priority index of all unrepaired power fault points in the management list, and dynamically sorts the remaining building units in the management list, including sorting all unrepaired power fault points from large to small according to the priority index.

[0018] In a preferred embodiment, the priority index of each power fault point is recalculated in combination with the distance information between building units, and the expression is: , where For the The priority index of each power fault point, is the selection factor, For emergency factors, For the The distance between the building where the power fault point is located and the building where the power fault point after maintenance is located. is the maximum distance.

[0019] In a preferred embodiment, the calculation logic of the elevator coefficient is: obtain the elevator operation assignment, the elevator operation frequency and the elevator balance index, and comprehensively calculate the elevator operation assignment, the elevator operation frequency and the elevator balance index to obtain the elevator coefficient, and the expression is: , where is the elevator coefficient, Assign values ​​to the elevator operation, is the elevator operating frequency, is the elevator balance index, , are the adjustment coefficients of the elevator operating frequency and the elevator balance index, respectively, and , Both are greater than 0. The larger the elevator coefficient is, the less favorable the overall operation of the elevator is for maintenance personnel to ride.

[0020] In a preferred embodiment, the logic for obtaining the elevator operation value is: if the elevator of the building unit occupied by the power fault point is operating normally, the elevator operation value is 1; if the elevator of the building unit occupied by the power fault point is stopped, the elevator operation value is 5;

[0021] The calculation logic of the elevator operation frequency is as follows: obtain the number of elevator operations within the monitoring time period, and divide the number of operations by the monitoring time to obtain the elevator operation frequency;

[0022] The calculation expression of the elevator balance index is: , where is the elevator balance index, is the traction force of the traction machine, For elevator load, is the acceleration due to gravity, is the acceleration of the elevator during operation, It is the rated load of the elevator.

[0023] In a preferred embodiment, after obtaining the location of the power fault point in the building unit, the building units are respectively classified into the first set and the second set, including the following steps:

[0024] Through the property platform or building monitoring system, the floor height information of the power fault point in each building unit is obtained, and for each power fault point, the set to which it belongs is determined based on the floor height;

[0025] If the floor height of the power fault point is less than or equal to the floor height threshold, add it to the first set: Set 1 =Set 1 ∪{power fault point number};

[0026] If the floor height of the power fault point is greater than the floor height threshold, add it to the second set: Set 2 =Set 2 ∪{power fault point number};

[0027] Output the first set and the second set.

[0028] In a preferred embodiment, the calculation logic of the historical impact amplitude is: obtaining the number of users affected by the power fault point at multiple historical time points, calculating the mean number of affected users and the standard deviation of the number of affected users, and dividing the mean number of affected users by the standard deviation of the number of affected users to obtain the historical impact amplitude;

[0029] The calculation logic of the real-time impact amplitude is: obtain the number of users currently affected by the power fault point, calculate the growth rate of the number of users, and multiply the current number of affected users by the growth rate of the number of users to obtain real-time impact data.

[0030] Smart community global property management system, including data collection module, set division module, sorting module, dynamic update module;

[0031] Data collection module: obtains building information in the smart community through the property platform. When power failure points occur in multiple buildings at the same time, an emergency factor is generated based on the impact range of the power failure point;

[0032] Set partitioning module: After obtaining the positions of power failure points in a building unit, the building unit is respectively divided into a first set and a second set;

[0033] Sorting module: Sort the power failure points in the first set according to the emergency factor, obtain the elevator operation status of the building units in the second set, generate a selection factor for each building unit in the second set by combining the emergency factor with the elevator operation status, and sort the power failure points in the second set according to the selection factor;

[0034] Dynamic update module: Integrate the first set and the second set into a management list. When the power failure points of the current building unit in the management list are processed, dynamically sort the remaining building units in the management list in combination with the distance information between the building units.

[0035] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0036] 1. The present invention generates an emergency factor based on the influence range of power failure points. After obtaining the positions of power failure points in a building unit, the building unit is respectively divided into a first set and a second set. The power failure points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, a selection factor is generated for each building unit in the second set by combining the emergency factor with the elevator operation status, the power failure points in the second set are sorted according to the selection factor, and the first set and the second set are integrated into a management list. When the power failure points of the current building unit in the management list are processed, the remaining building units in the management list are dynamically sorted in combination with the distance information between the building units. When multiple power failure points occur simultaneously in a smart community, the management system conducts hierarchical management of building units, dynamically adjusts the order of the remaining building units in the management list, realizes optimal path planning, reduces resource waste and improves management efficiency;

[0037] 2. The present invention comprehensively calculates the historical influence amplitude and the real-time influence amplitude, can comprehensively consider the historical importance and real-time urgency of power failure points, and realizes scientific and efficient priority sorting under the condition of limited resources. On the one hand, comprehensive analysis helps to balance long-term planning and immediate response. It can not only give priority to dealing with the failure points that currently have the greatest impact on users, but also systematically optimize the areas with high historical influence to reduce future hidden dangers. On the other hand, by dynamically adjusting the priority, it ensures that the resource allocation is more reasonable and efficient. In addition, the comprehensive calculation provides a quantitative decision-making basis, reduces subjective human judgment, improves the standardization and transparency of fault handling, not only optimizes the emergency response, but also significantly improves user satisfaction and management trust, and finally realizes the optimal allocation of resources and the maximization of overall benefits. Description of the Drawings

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0039] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Example 1: Please refer to Figure 1 As shown, the global property management method for a smart community in this embodiment includes the following steps:

[0042] The management system obtains the building unit information in the smart community through the property platform. The building unit information includes building number, building unit location and other information. When power fault points appear in multiple buildings at the same time, an emergency factor is generated based on the impact range of the power fault point. After obtaining the location of the power fault point in the building unit, the building unit is divided into the first set and the second set respectively, and the power fault points in the first set are sorted according to the emergency factor. The elevator operation status of the building units in the second set is obtained, and the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set. The power fault points in the second set are sorted according to the selection factor, and the first set and the second set are integrated into a management list (in the management list, the first power fault point sorted in the second set is located after the last power fault point sorted in the first set). When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted in combination with the distance information between the building units.

[0043] This application generates an emergency factor based on the impact range of the power fault point, obtains the location of the power fault point in the building unit, and then classifies the building units into the first set and the second set respectively, sorts the power fault points in the first set according to the emergency factor, obtains the elevator operation status of the building units in the second set, combines the emergency factor with the elevator operation status to generate a selection factor for each building unit in the second set, sorts the power fault points in the second set according to the selection factor, integrates the first set and the second set into a management list, and after the power fault point of the current building unit in the management list is processed, dynamically sorts the remaining building units in the management list in combination with the distance information between the building units. When multiple power fault points appear in the smart community at the same time, the management system manages the building units in a hierarchical manner, dynamically adjusts the order of the remaining building units in the management list, realizes optimal path planning, reduces resource waste and improves management efficiency.

[0044] Embodiment 2: The management system obtains the building unit information in the smart community through the property platform, and the building unit information includes the building number, the building unit location and other information, including the following steps:

[0045] The basic information of each building in the smart community is obtained through the property platform, including:

[0046] Building number: The unique identifier of each building unit.

[0047] Building unit location: including longitude and latitude, relative position (such as distance from the community center), etc.

[0048] Usage information: such as residential, commercial, mixed use, etc.

[0049] Scale information: such as number of floors, number of residents, etc.

[0050] Dynamically obtain the operating status information of the building unit, including:

[0051] Power supply status: Whether the power supply is normal.

[0052] Elevator operating status: the current working status and fault information of the elevator.

[0053] Environmental conditions: such as temperature, humidity, lighting conditions, etc. (if relevant sensors are available).

[0054] Security status: including access control system and monitoring equipment operation status.

[0055] Classify buildings according to their use, size and location, for example:

[0056] Classification by use: residential buildings, commercial buildings, apartment buildings, etc.

[0057] Classification by region: East District, West District, South District, North District, etc.

[0058] Classification by scale: small buildings (<10 floors), medium-sized buildings (10 - 20 floors), large buildings (>20 floors).

[0059] The following is the classification and example description of the building monomer information in the smart community:

[0060] 1) Classification by use:

[0061] Residential buildings: A01, A02, A03;

[0062] 30 floors, 200 households, mainly for residential use.

[0063] Commercial buildings: B01, B02;

[0064] 15 floors, no households, mainly for shops and office use.

[0065] Comprehensive buildings: C01, C02, C03;

[0066] 10 floors, 50 households, floors 1 - 3 are shops, and floors 4 and above are residential.

[0067] 2) Classification by region:

[0068] East area: A01, C03;

[0069] Mainly high-rise residential buildings and comprehensive buildings, relatively close to the center of the community.

[0070] West area: B01, B02;

[0071] Commercial buildings are concentrated, close to the periphery of the community.

[0072] South area: A02, C01;

[0073] Mainly medium-rise buildings, concentrated residential area.

[0074] North area: A03, C02;

[0075] There are more low-rise buildings and the environment is quiet.

[0076] 3) Classification by scale:

[0077] Small buildings (<10 floors): C01 (8 floors, 30 households), C02 (9 floors, 35 households);

[0078] Medium-sized buildings (10 - 20 floors): C03 (10 floors, 50 households), B02 (15 floors, no households);

[0079] Large buildings (>20 floors): A01 (30 floors, 200 households), A02 (25 floors, 180 households).

[0080] When power failure points occur simultaneously in multiple buildings, an emergency factor is generated based on the impact range of the power failure points, including the following steps:

[0081] Obtain historical impact data and real-time impact data of the power fault point, the historical impact data includes historical impact amplitude, and the real-time impact data includes real-time impact amplitude, normalize the real-time impact amplitude and the historical impact amplitude, map the value range of the real-time impact amplitude and the historical impact amplitude to [0,1], and sum the normalized real-time impact amplitude and the historical impact amplitude to obtain the emergency factor;

[0082] The calculation logic of the historical impact amplitude is as follows: obtain the number of users affected by the power fault point at multiple historical time points, calculate the mean number of affected users and the standard deviation of the number of affected users, and divide the mean number of affected users by the standard deviation of the number of affected users to obtain the historical impact amplitude. The larger the historical impact amplitude, the more users the power fault point has affected overall in history.

[0083] The calculation expressions for the mean number of affected users and the standard deviation of the number of affected users are:

[0084] , where To influence the mean number of users, To influence the standard deviation of the number of users, Get the quantity for a historical time point, For the The number of affected users obtained at each time point is divided by the mean number of affected users and the standard deviation of the number of affected users to obtain the historical impact amplitude. The expression is: , is the historical impact magnitude.

[0085] The calculation logic of the real-time impact amplitude is as follows: obtain the number of users currently affected by the power fault point, calculate the growth rate of the number of users, and multiply the current number of affected users by the growth rate of the number of users to obtain the real-time impact data. The larger the real-time impact amplitude, the more users are affected by the power fault point and the faster the growth rate.

[0086] The calculation expression of the growth rate of the number of users is:

[0087] , where is the growth rate of the number of users, is the number of affected users at the current moment, is the number of affected users at the last moment, is the time interval.

[0088] The larger the historical impact amplitude, the more users are affected in the history of the power fault point, reflecting the historical importance and sensitivity of the fault point. The larger the historical impact amplitude of the fault point, the higher the priority, because such faults usually involve key areas (such as high-density residential areas or critical infrastructure). If the historical impact amplitude of a fault point is significantly higher than other fault points, it should be handled as a priority to prevent similar problems from affecting a large range of users again.

[0089] The larger the real-time impact amplitude, the more users are affected by the current power fault point, and the faster the user impact grows, reflecting the immediate urgency of the fault point. The larger the real-time impact amplitude of the fault point, the higher the priority, because this fault poses a greater immediate threat to the life or safety of the current user. If the real-time impact amplitude of a fault point grows rapidly (such as involving a large number of residential power outages or key service interruptions), it should be handled as a priority to mitigate the current impact.

[0090] This application comprehensively calculates the historical impact amplitude and the real-time impact amplitude, which can fully take into account the historical importance and real-time urgency of the power fault point, and achieve scientific and efficient priority sorting under limited resource conditions. On the one hand, comprehensive analysis helps to balance long-term planning and immediate response, which can not only give priority to the fault points that currently have the greatest impact on users, but also systematically optimize historical high-impact areas to reduce future hidden dangers; on the other hand, by dynamically adjusting priorities, it ensures that resource allocation is more reasonable and efficient. In addition, comprehensive calculation provides a quantitative decision-making basis, reduces human subjective judgment, and improves the standardization and transparency of fault handling. It not only optimizes emergency response, but also significantly improves user satisfaction and management trust, and ultimately achieves optimal resource allocation and maximizes overall benefits.

[0091] After obtaining the location of the power fault point in the building unit, the building units are divided into the first set and the second set respectively, including the following steps:

[0092] Through the property platform or building monitoring system, obtain the specific floor height information of the power fault point in each building unit, including the building unit number and the floor height of the fault point. For example, the fault point of building A is on the 2nd floor, and the fault point of building B is on the 6th floor;

[0093] Initialize two empty collections:

[0094] First set: Set 1 ={};

[0095] The second set: Set 2 ={};

[0096] For each power fault point, determine its set based on the floor height. If the floor height of the power fault point is ≤ the floor height threshold, add it to the first set: Set 1 =Set 1∪{power fault point number}; if the floor height of the power fault point is greater than the floor height threshold, add it to the second set: Set 2 =Set 2 ∪{power fault point number}, output the first set (low-level fault points) and the second set (high-level fault points).

[0097] The first set (low-level fault points): Maintenance personnel can directly climb the stairs to complete the fault point maintenance without relying on elevators. Prioritizing low-level fault points can quickly restore power supply to some users.

[0098] The second set (high-rise fault point): maintenance personnel need to use the elevator to reach the fault point. It depends on the elevator operation status, so the priority needs to be further adjusted according to the elevator status.

[0099] Assuming the floor height threshold is 4 floors, Table 1 shows the fault point data and division results:

[0100] Table 1

[0101] Division results:

[0102] The first set (low-level fault points): fault point A, fault point C;

[0103] The second set (high-level fault points): fault point B and fault point D.

[0104] The power failure points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set, and the power failure points in the second set are sorted according to the selection factor, including the following steps:

[0105] In the first set, all power failure points are sorted from large to small according to the emergency factor. In the second set, the elevator operation status of the building where the power failure point is located is obtained, the elevator coefficient is calculated, and the elevator coefficient and the emergency factor are comprehensively calculated to obtain the selection factor, which is expressed as:

[0106] , where is the selection factor, is the elevator coefficient, As the emergency factor, after obtaining the selection factors of all power fault points in the second set, all power fault points are sorted from large to small according to the selection factors;

[0107] The calculation logic of the elevator coefficient is: obtain the elevator operation value, elevator operation frequency and elevator balance index, and calculate the elevator operation value, elevator operation frequency and elevator balance index to obtain the elevator coefficient. The expression is: , where is the elevator coefficient, Assign values ​​to the elevator operation, is the elevator operating frequency, is the elevator balance index, , are the adjustment coefficients of the elevator operating frequency and the elevator balance index, respectively, and , All are greater than 0. The larger the elevator coefficient is, the less favorable the overall operation of the elevator is for maintenance personnel to ride.

[0108] The logic for obtaining the elevator operation value is as follows: if the elevator in the building unit occupied by the power fault point is operating normally, the elevator operation value is 1; if the elevator in the building unit occupied by the power fault point is stopped (this may be caused by the elevator itself or the power fault point), the elevator operation value is 5;

[0109] The calculation logic of the elevator operation frequency is as follows: obtain the number of elevator operations within the monitoring period, and divide the number of operations by the monitoring duration to obtain the elevator operation frequency. The greater the elevator operation frequency, the more frequently the elevator is used, which may cause the maintenance personnel to wait longer, affecting the maintenance efficiency.

[0110] The calculation expression of the elevator balance index is: , where is the elevator balance index, is the traction force of the traction machine, For elevator load, is the acceleration due to gravity, is the acceleration of the elevator during operation, is the rated load of the elevator. The smaller the elevator balance index is, the worse the stability of the elevator operation is, and the more inconvenient it is for power maintenance personnel to ride.

[0111] The elevator balance index reflects the stability and load capacity of the elevator system. If the balance coefficient of the elevator is high, it means that the elevator's traction, load-bearing and acceleration capabilities are relatively balanced, the vibration and deviation of the elevator are small during operation, and the riding experience is relatively smooth. A higher balance coefficient: The elevator is more stable during operation, and maintenance personnel may be more comfortable when riding the elevator, and the probability of elevator failure is reduced, which facilitates the smooth progress of maintenance work. A lower balance coefficient: The elevator may be more unstable and vibrate more, which may affect the work efficiency of maintenance personnel. If the balance coefficient is low, the elevator may frequently fail, resulting in the inability of power maintenance personnel to use the elevator quickly for work.

[0112] Elevator operation assignment: It is the logic of assigning values ​​according to the operation status of the elevator. The assignment value is 1: the elevator is operating normally. The assignment value is 5: the elevator stops operating, which may be caused by the elevator itself or the power fault point. The assignment value is 1 (elevator normal operation): the elevator is in a usable state, and the power maintenance personnel can quickly take the elevator to handle the fault. At this time, the elevator can provide a convenient means of transportation for maintenance personnel and improve work efficiency. The assignment value is 5 (elevator stops operating): the elevator cannot be used, and the power maintenance personnel cannot reach the fault point by elevator, and may need to repair it by other means (such as climbing stairs). The elevator outage will increase the difficulty and time cost of the maintenance personnel.

[0113] Elevator operation frequency: It is calculated by monitoring the number of times the elevator runs within a specific time period. The higher the frequency, the more frequently the elevator is used during that time period. Higher elevator operation frequency: Frequent use of elevators may mean that maintenance personnel need to wait for the elevator during high-frequency use, resulting in reduced work efficiency. If the elevator runs frequently and is used by many people, maintenance personnel may encounter longer waiting times, affecting maintenance efficiency. Lower elevator operation frequency: Elevators are used less frequently, and maintenance personnel can take the elevator quickly without wasting too much time waiting for the elevator. The elevator has more idle time, and maintenance personnel can reach the fault point in a shorter time, improving maintenance efficiency.

[0114] The main consideration in this application is similar situations of the impact range of power fault points. In actual applications, there may be more serious problems with power fault points. At this time, it is necessary to give priority to repairing such power fault points. Therefore, it should be noted that after obtaining the emergency factor of the power fault point, this application compares the emergency factor with the preset emergency threshold. If the emergency factor of the power fault point is greater than the emergency threshold, it means that the situation of the power fault point is urgent and needs to be handled as a priority. The power fault points with emergency factors greater than the emergency threshold are classified into a priority set. In the priority set, all power fault points are sorted from large to small according to the emergency factors, and the power fault points in the priority set are repaired as the highest priority.

[0115] The first set and the second set are integrated into a management list (in the management list, the first power fault point in the second set is located after the last power fault point in the first set). When the power fault point of the current building in the management list is processed, the remaining building units in the management list are dynamically sorted in combination with the distance information between the building units, including the following steps:

[0116] The first set and the second set are integrated into a management list. In the management list, the first power fault point in the second set is located after the last power fault point in the first set. Assume that there is only one maintenance personnel to repair the power fault point of the smart community. After the maintenance personnel completes the maintenance of the first power fault point in the management list, the management system obtains the current building unit location of the repaired power fault point, calculates the distance between the building units where other power fault points in the management list are located and the current building unit, and recalculates the priority index of each power fault point in combination with the distance information between the building units. The expression is:

[0117] , where For the The priority index of each power fault point, is the selection factor, For emergency factors, For the The distance between the building where the power fault point is located and the building where the power fault point after maintenance is located. For the maximum distance, after obtaining the priority indexes of all unrepaired power fault points in the management list, the remaining building units in the management list are dynamically sorted, including sorting all unrepaired power fault points from large to small according to the priority index.

[0118] Example 3: Please refer to Figure 1 As shown, the smart community global property management system described in this embodiment includes a data collection module, a set division module, a sorting module, and a dynamic update module;

[0119] Data collection module: obtains building information in the smart community through the property platform. Building information includes building number, building location and other information. When power failure points occur in multiple buildings at the same time, an emergency factor is generated based on the impact range of the power failure point, and the emergency factor is sent to the sorting module;

[0120] Set division module: after obtaining the location of the power fault point in the building unit, the building unit is divided into the first set and the second set respectively, and the set division result is sent to the sorting module;

[0121] Sorting module: sort the power fault points in the first set according to the emergency factor, obtain the elevator operation status of the building units in the second set, combine the emergency factor with the elevator operation status to generate a selection factor for each building unit in the second set, sort the power fault points in the second set according to the selection factor, and send the sorting result to the dynamic update module;

[0122] Dynamic update module: Integrate the first set and the second set into a management list (in the management list, the first power fault point sorted in the second set is located after the last power fault point sorted in the first set). When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted based on the distance information between the building units.

[0123] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0124] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0125] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0126] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0127] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A global property management method for a smart community, characterized by: The management method comprises the following steps: The management system obtains the information of building units in the smart community through the property platform. When power fault points appear in multiple building units at the same time, an emergency factor is generated based on the impact range of the power fault point. After obtaining the location of the power fault point in the building unit, the building units are respectively classified into the first set and the second set; The power fault points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set, and the power fault points in the second set are sorted according to the selection factor; The first set and the second set are integrated into a management list. When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted based on the distance information between the building units.

2. The smart community global property management method according to claim 1 is characterized by: When power failure points occur simultaneously in multiple buildings, an emergency factor is generated based on the impact range of the power failure points, including the following steps: The historical impact data and real-time impact data of the power fault point are obtained, the historical impact data includes the historical impact amplitude, and the real-time impact data includes the real-time impact amplitude. The real-time impact amplitude and the historical impact amplitude are normalized so that the value range of the real-time impact amplitude and the historical impact amplitude is mapped to [0,1]. The normalized real-time impact amplitude and historical impact amplitude are summed to obtain the emergency factor.

3. The smart community global property management method according to claim 2 is characterized by: The power failure points in the first set are sorted according to the emergency factor, the elevator operation status of the building units in the second set is obtained, the emergency factor is combined with the elevator operation status to generate a selection factor for each building unit in the second set, and the power failure points in the second set are sorted according to the selection factor, including the following steps: In the first set, all power failure points are sorted from large to small according to the emergency factor. In the second set, the elevator operation status of the building where the power failure point is located is obtained, the elevator coefficient is calculated, and the elevator coefficient and the emergency factor are comprehensively calculated to obtain the selection factor, which is expressed as: , where is the selection factor, is the elevator coefficient, is an emergency factor. After obtaining the selection factors of all power fault points in the second set, all power fault points are sorted from large to small according to the selection factors.

4. The smart community global property management method according to claim 3 is characterized by: The first set and the second set are integrated into a management list. When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted in combination with the distance information between the building units, including the following steps: The first set and the second set are integrated into a management list. In the management list, after the first power fault point ranked in the second set is located at the last power fault point ranked in the first set, after the maintenance personnel completes the maintenance of the first power fault point in the management list, the management system obtains the current building unit location of the repaired power fault point, calculates the distance between the building units where other power fault points in the management list are located and the current building unit, and recalculates the priority index of each power fault point based on the distance information between the building units, obtains the priority index of all unrepaired power fault points in the management list, and dynamically sorts the remaining building units in the management list, including sorting all unrepaired power fault points from large to small according to the priority index.

5. The smart community global property management method according to claim 4 is characterized by: Combined with the distance information between building units, the priority index of each power fault point is recalculated, and the expression is: , where For the The priority index of each power fault point, is the selection factor, For emergency factors, For the The distance between the building where the power fault point is located and the building where the power fault point after maintenance is located. is the maximum distance.

6. The smart community global property management method according to claim 3 is characterized by: The calculation logic of the elevator coefficient is: obtain the elevator operation value, the elevator operation frequency and the elevator balance index, and comprehensively calculate the elevator operation value, the elevator operation frequency and the elevator balance index to obtain the elevator coefficient. The expression is: , where is the elevator coefficient, Assign values ​​to the elevator operation, is the elevator operating frequency, is the elevator balance index, , are the adjustment coefficients of the elevator operating frequency and the elevator balance index, respectively, and , Both are greater than 0. The larger the elevator coefficient is, the less favorable the overall operation of the elevator is for maintenance personnel to ride.

7. The smart community global property management method according to claim 6 is characterized by: The logic for obtaining the elevator operation value is as follows: if the elevator of the building unit occupied by the power fault point is operating normally, the elevator operation value is 1; if the elevator of the building unit occupied by the power fault point is stopped, the elevator operation value is 5; The calculation logic of the elevator operation frequency is as follows: obtain the number of elevator operations within the monitoring time period, and divide the number of operations by the monitoring time to obtain the elevator operation frequency; The calculation expression of the elevator balance index is: , where is the elevator balance index, is the traction force of the traction machine, For elevator load, is the acceleration due to gravity, is the acceleration of the elevator during operation, It is the rated load of the elevator.

8. The smart community global property management method according to claim 7 is characterized by: After obtaining the location of the power fault point in the building unit, the building units are divided into the first set and the second set respectively, including the following steps: Through the property platform or building monitoring system, the floor height information of the power fault point in each building unit is obtained, and for each power fault point, the set to which it belongs is determined based on the floor height; If the floor height of the power fault point is less than or equal to the floor height threshold, add it to the first set: Set1=Set1∪{power fault point number}; If the floor height of the power fault point is greater than the floor height threshold, add it to the second set: Set2=Set2∪{power fault point number}; Output the first set and the second set.

9. The smart community global property management method according to claim 2, characterized in that: The calculation logic of the historical impact amplitude is as follows: obtaining the number of users affected by the power fault point at multiple historical time points, calculating the mean number of affected users and the standard deviation of the number of affected users, and dividing the mean number of affected users by the standard deviation of the number of affected users to obtain the historical impact amplitude; The calculation logic of the real-time impact amplitude is: obtain the number of users currently affected by the power fault point, calculate the growth rate of the number of users, and multiply the current number of affected users by the growth rate of the number of users to obtain real-time impact data.

10. A global property management system for a smart community, used to implement the management method according to any one of claims 1 to 9, characterized in that: It includes data collection module, set partitioning module, sorting module and dynamic update module; Data collection module: obtains building information in the smart community through the property platform. When power failure points occur in multiple buildings at the same time, an emergency factor is generated based on the impact range of the power failure point; Set division module: after obtaining the location of the power fault point in the building unit, the building units are divided into the first set and the second set respectively; Sorting module: sort the power fault points in the first set according to the emergency factor, obtain the elevator operation status of the building units in the second set, combine the emergency factor with the elevator operation status to generate a selection factor for each building unit in the second set, and sort the power fault points in the second set according to the selection factor; Dynamic update module: Integrate the first set and the second set into a management list. When the power fault point of the current building unit in the management list is processed, the remaining building units in the management list are dynamically sorted based on the distance information between the building units.

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