A property management system and method based on data linkage

Abstract

The application provides a property management system and method based on data linkage, wherein the system comprises: an acquisition module configured to acquire, in real time, scheduling information of staff in a property institution requiring property management based on a data linkage technology; a determination module configured to determine a dynamic check-in task of the staff based on the scheduling information; the dynamic check-in task comprises a target check-in location and a target check-in time; and a management module configured to manage the staff based on the dynamic check-in task. The property management system and method based on data linkage introduce the data linkage technology, automatically determine the dynamic check-in task of the staff requiring property management according to the scheduling information obtained through linkage, and do not fix the check-in time and the check-in location, thereby improving the flexibility of check-in; the staff is automatically managed based on the dynamic check-in task, and it is not necessary to set up special personnel for supervision, thereby greatly reducing the labor cost.

Description

Technical Field

[0001] This invention relates to the field of property management technology, and in particular to a property management system and method based on data linkage. Background Technology

[0002] Generally, property management companies offer their staff a relatively flexible work schedule. Besides spending part of their time at their designated workstations, they also need to go out to handle other tasks (e.g., repairing damaged public facilities within the community). Since the same property management company serves numerous communities, staff working outside the community are not fixed according to their work schedules. Fixed attendance records are not flexible enough, and dedicated personnel are needed to monitor and check attendance, resulting in significant labor costs.

[0003] Therefore, a solution is urgently needed. Summary of the Invention

[0004] One of the objectives of this invention is to provide a property management system based on data linkage (the beneficial effects of claim 1).

[0005] This invention provides a data-linked property management system, comprising:

[0006] The acquisition module is used to acquire, in real time, the staff scheduling information of the property management organization that needs to be managed, based on data linkage technology.

[0007] The determination module is used to determine the dynamic check-in task of the staff based on the scheduling information; the dynamic check-in task includes: target check-in location and target check-in time;

[0008] The management module is used to manage the staff based on the dynamic check-in task.

[0009] Preferably, the acquisition module, based on data linkage technology, acquires in real time the staff scheduling information of the property management organization that needs to perform property management, including:

[0010] Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization;

[0011] Parse the scheduling record to obtain the scheduling information corresponding to the staff member;

[0012] And / or,

[0013] The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn;

[0014] If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

[0015] Preferably, the determining module determines the dynamic check-in task of the staff based on the scheduling information, including:

[0016] The scheduling information is analyzed to obtain the work area and work hours corresponding to the staff member;

[0017] Based on the work area and the work period, the dynamic check-in task of the staff is determined.

[0018] Preferably, the management module manages the staff based on the dynamic check-in task, including:

[0019] Get the current time, and at the same time, get the check-in reminder time corresponding to the first time length preset before the target check-in time;

[0020] When the current time reaches the check-in reminder time, check-in reminder information corresponding to the dynamic check-in task is generated based on the preset check-in reminder information generation rules;

[0021] Obtain the actual check-in information for a preset second time period after the staff member receives the check-in reminder information. The actual check-in information includes: actual check-in time and actual check-in location.

[0022] If the actual check-in occurs before the target check-in time and the actual check-in location is within the preset range of the target check-in location, then the check-in is successful;

[0023] Otherwise, obtain the check-in anomaly information for the corresponding staff member;

[0024] Based on the abnormal check-in information, determine the target abnormality management strategy and carry out corresponding abnormality management.

[0025] Preferably, determining the target anomaly management strategy based on check-in anomaly information includes:

[0026] Based on a preset abnormal feature extraction template, the abnormal feature values ​​of the sign-in abnormal information are extracted;

[0027] Model for determining training objectives and anomaly management strategies;

[0028] The abnormal feature value is input into the target anomaly management strategy determination model to obtain the target anomaly management strategy output by the target anomaly management strategy determination model.

[0029] Preferably, the training target anomaly management strategy determination model includes:

[0030] Retrieve multiple historical anomaly management records;

[0031] The staff member managed in the historical anomaly management record is identified as the performance observer;

[0032] Obtain the subsequent work performance value of the performance observer after a preset third time length following the period after being managed;

[0033] If the subsequent work performance value is greater than or equal to a preset first threshold, obtain the anomaly item and the first anomaly management strategy corresponding to the historical anomaly management record;

[0034] Obtain the exception type of the exception item;

[0035] The anomalies belonging to the same anomaly type are grouped into the same anomaly group, and the first anomaly management strategy corresponding to the anomaly group is determined and used as the second anomaly management strategy.

[0036] Based on a preset correlation analysis model, a correlation analysis is performed on the second anomaly management strategy and the subsequent work performance values ​​of the corresponding performance observers to obtain correlation values;

[0037] Query the preset relevant value-suitability library to determine the suitability corresponding to the relevant value;

[0038] Determine the second anomaly strategy corresponding to the maximum suitability, and use it as the third anomaly management strategy for the anomaly type corresponding to the anomaly group;

[0039] The anomaly type and the corresponding third anomaly management strategy are used as training data to input into a preset neural network model for model training, thereby obtaining a trained target anomaly management strategy determination model.

[0040] Preferably, a data-driven property management system also includes:

[0041] The emergency dispatch module is used to obtain real-time information on emergencies within the community managed by the property management organization. When the staff member in the management area where the emergency occurs needs assistance, other personnel are urgently dispatched to provide assistance.

[0042] The provision that when the staff in the management area where the emergency occurs require assistance, other personnel shall be urgently dispatched to provide assistance, includes:

[0043] The system acquires assistance request information from the management area in real time, including the request location and request requirements.

[0044] Obtain the location distribution map of the staff, and determine the first location of the available staff in the location distribution map and the second location corresponding to the requested location;

[0045] Based on the first location, the second location, and the location distribution map, determine the available staff member who can arrive at the location fastest and use them as the target assistant.

[0046] The assistance request information is sent to the target assistance personnel, and the target assistance personnel are notified to go to the requested location.

[0047] Preferably, determining the available staff member who can arrive fastest to assist, based on the first location, the second location, and the location distribution map, includes:

[0048] Based on path planning technology, the shortest path between the first point and the second point in the location distribution map is planned;

[0049] Calculate the path length of each of the shortest paths, and determine the travel time of the shortest path based on the path length;

[0050] Obtain road condition information for the road corresponding to the shortest path;

[0051] Based on the road condition information, the waiting points on the shortest path are determined;

[0052] Obtain the average waiting time of pedestrians at the specified waiting point;

[0053] The travel time and average waiting time of the same shortest path are summed to obtain the target arrival time.

[0054] The available staff member with the shortest arrival time for the target can arrive to provide assistance as quickly as possible.

[0055] This invention provides a data-linked property management method, comprising:

[0056] Step 1: Based on data linkage technology, obtain the real-time staff scheduling information of the property management organization that needs to perform property management;

[0057] Step 2: Based on the scheduling information, determine the dynamic check-in task for the staff; the dynamic check-in task includes: target check-in location and target check-in time;

[0058] Step 3: Based on the dynamic check-in task, manage the staff accordingly.

[0059] Preferably, step 1 involves: obtaining, in real time, the staff scheduling information of the property management organization that requires property management based on data linkage technology, including:

[0060] Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization;

[0061] Parse the scheduling record to obtain the scheduling information corresponding to the staff member;

[0062] And / or,

[0063] The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn;

[0064] If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

[0065] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0066] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0067] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0068] Figure 1 This is a schematic diagram of a data-linked property management system according to an embodiment of the present invention;

[0069] Figure 2 This is a schematic diagram of a data-linked property management method according to an embodiment of the present invention. Detailed Implementation

[0070] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0071] This invention provides a data-linked property management system, such as... Figure 1 As shown, it includes:

[0072] Module 1 is used to obtain the real-time staff scheduling information of property management organizations that need to manage property, based on data linkage technology.

[0073] Module 2 is used to determine the dynamic check-in task of the staff based on the scheduling information; the dynamic check-in task includes: target check-in location and target check-in time;

[0074] Management module 3 is used to manage the staff based on the dynamic check-in task.

[0075] The working principle and beneficial effects of the above technical solution are as follows:

[0076] The scheduling information is as follows: For example, staff member A is scheduled to manage community B from 8:00 to 18:00 on a certain day. This scheduling information is obtained based on data linkage technology. Managers input the scheduling information, and the property management system communicates and interfaces with the managers' devices to achieve data linkage. This data linkage technology is existing and will not be elaborated upon. Based on the scheduling information, dynamic check-in tasks for staff are determined. These tasks include the target check-in location (e.g., community B) and the target check-in time (e.g., 7:30-8:30). Based on these dynamic check-in tasks, staff are managed (e.g., determining whether staff have clocked in according to the dynamic check-in tasks; if not, issuing warnings or fines).

[0077] This application introduces data linkage technology to automatically determine the dynamic check-in tasks of property management staff based on the scheduling information obtained through linkage. The check-in time and location are not fixed, which improves the flexibility of check-in. Based on the dynamic check-in tasks, staff are automatically managed without the need for dedicated personnel for supervision, which greatly reduces labor costs.

[0078] In one embodiment, the acquisition module, based on data linkage technology, acquires in real time the staff scheduling information of the property management organization that needs to perform property management, including:

[0079] Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization;

[0080] Parse the scheduling record to obtain the scheduling information corresponding to the staff member;

[0081] And / or,

[0082] The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn;

[0083] If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

[0084] The working principle and beneficial effects of the above technical solution are as follows:

[0085] There are two ways to obtain scheduling information. First, property management personnel can input scheduling records into a pre-set property management platform. Parsing these records will retrieve the scheduling information for each staff member. Second, staff members can submit scheduling requests, for example, "Request to be scheduled for [date]". After a staff member submits a scheduling request, management personnel will review the request. If the request is approved, the staff member's scheduling request is permitted, and the scheduling information in the request is confirmed.

[0086] This application introduces two methods to obtain staff scheduling information, thereby improving the comprehensiveness of the scheduling information obtained.

[0087] In one embodiment, the determining module determines the dynamic check-in task of the staff member based on the scheduling information, including:

[0088] The scheduling information is analyzed to obtain the work area and work hours corresponding to the staff member;

[0089] Based on the work area and the work period, the dynamic check-in task of the staff is determined.

[0090] The working principle and beneficial effects of the above technical solution are as follows:

[0091] The work area is, for example, near Building 26 in Community B, and the work hours are, for example, 2:00 PM to 4:00 PM. Based on the work area and work hours, the dynamic check-in task for staff is determined, for example, from 1:50 PM to 2:00 PM, staff must check in within a circular area with a radius of 1 km centered on Building 26 in Community B.

[0092] This application determines the dynamic check-in tasks for staff based on their work area and work hours, thus improving the flexibility of check-in.

[0093] In one embodiment, the management module manages the staff based on the dynamic check-in task, including:

[0094] Get the current time, and at the same time, get the check-in reminder time corresponding to the first time length preset before the target check-in time;

[0095] When the current time reaches the check-in reminder time, check-in reminder information corresponding to the dynamic check-in task is generated based on the preset check-in reminder information generation rules;

[0096] Obtain the actual check-in information for a preset second time period after the staff member receives the check-in reminder information. The actual check-in information includes: actual check-in time and actual check-in location.

[0097] If the actual check-in occurs before the target check-in time and the actual check-in location is within the preset range of the target check-in location, then the check-in is successful;

[0098] Otherwise, obtain the check-in anomaly information for the corresponding staff member;

[0099] Based on the abnormal check-in information, determine the target abnormality management strategy and carry out corresponding abnormality management.

[0100] The working principle and beneficial effects of the above technical solution are as follows:

[0101] After receiving the sign-in task, staff may arrive at the work location but forget to sign in. Therefore, it is necessary to remind staff.

[0102] The current time is the real-time local time. The preset first time length is, for example, 10 minutes. Based on this first time length and the current time, the check-in reminder time is determined, for example, 13:50 on a certain day. When the current time reaches the check-in reminder time, based on preset check-in reminder information generation rules (e.g., sending a reminder message to the smart terminal device of the staff who should be reminded), a check-in reminder message corresponding to the dynamic check-in task is generated, for example: "You have a check-in task to complete." The preset second time length is, for example, 30 minutes. The actual check-in information of the staff after receiving the check-in reminder message for the second time length is obtained, for example: Staff member checked in at xx at x o'clock. If the staff member's actual check-in time and location are within the specified range, the check-in is successful; otherwise, the corresponding staff member's check-in exception information is obtained (e.g., check-in outside the scope). Based on the check-in exception information, a target exception management strategy is determined for corresponding exception management.

[0103] This application introduces a rule for generating sign-in reminder information, which generates sign-in reminder information corresponding to dynamic sign-in tasks to remind staff, making it more user-friendly; it identifies sign-in anomaly information for staff who fail to sign in, and determines target anomaly management strategies based on the sign-in anomaly information to manage anomalies, thereby improving the suitability of anomaly management.

[0104] In one embodiment, determining the target anomaly management strategy based on check-in anomaly information includes:

[0105] Based on a preset abnormal feature extraction template, the abnormal feature values ​​of the sign-in abnormal information are extracted;

[0106] Model for determining training objectives and anomaly management strategies;

[0107] The abnormal feature value is input into the target anomaly management strategy determination model to obtain the target anomaly management strategy output by the target anomaly management strategy determination model.

[0108] The working principle and beneficial effects of the above technical solution are as follows:

[0109] The anomaly feature extraction template is a pre-set template for extracting anomaly feature values, such as: delayed check-in, check-in exceeding the permitted range, etc. The target anomaly management strategy determination model is trained based on a pre-set neural network model, training the logic for manually formulated anomaly management strategies. After training, the target anomaly management strategy determination model is obtained. The anomaly feature values ​​are input into the target anomaly management strategy determination model to obtain the output target anomaly management strategy.

[0110] This application introduces an anomaly feature extraction template to extract anomaly feature values ​​from sign-in anomaly information, thereby improving the accuracy of anomaly feature value acquisition; it also introduces a target anomaly management strategy determination model to determine appropriate target anomaly management strategies based on anomaly feature values.

[0111] In one embodiment, the training target anomaly management strategy determination model includes:

[0112] Retrieve multiple historical anomaly management records;

[0113] The staff member managed in the historical anomaly management record is identified as the performance observer;

[0114] Obtain the subsequent work performance value of the performance observer after a preset third time length following the period after being managed;

[0115] If the subsequent work performance value is greater than or equal to a preset first threshold, obtain the anomaly item and the first anomaly management strategy corresponding to the historical anomaly management record;

[0116] Obtain the exception type of the exception item;

[0117] The anomalies belonging to the same anomaly type are grouped into the same anomaly group, and the first anomaly management strategy corresponding to the anomaly group is determined and used as the second anomaly management strategy.

[0118] Based on a preset correlation analysis model, a correlation analysis is performed on the second anomaly management strategy and the subsequent work performance values ​​of the corresponding performance observers to obtain correlation values;

[0119] Query the preset relevant value-suitability library to determine the suitability corresponding to the relevant value;

[0120] Determine the second anomaly strategy corresponding to the maximum suitability, and use it as the third anomaly management strategy for the anomaly type corresponding to the anomaly group;

[0121] The anomaly type and the corresponding third anomaly management strategy are used as training data to input into a preset neural network model for model training, thereby obtaining a trained target anomaly management strategy determination model.

[0122] The working principle and beneficial effects of the above technical solution are as follows:

[0123] When determining the training target for anomaly management strategy, historical management records of anomalies can be used as training data to input into the neural network model. However, not all historical anomaly management records are valuable for training. Generally, the better the subsequent work performance of staff after being managed, the more suitable the management logic in the corresponding historical anomaly management records is, and the more valuable those records are for training. Therefore, it is necessary to identify historical anomaly management records with high training value for model training.

[0124] Performance observers are work managers who handle attendance abnormalities. The system retrieves the subsequent performance value of each observer after a preset third time period following their management. A higher subsequent performance value indicates better subsequent performance. The preset third time period is, for example, 30 days. If the subsequent performance value is greater than or equal to a preset first threshold (set manually), it indicates good performance by the observer after being managed. The system then identifies the corresponding abnormal item in the historical abnormality management record and the first abnormality management strategy (e.g., abnormal item: late attendance; first abnormality management strategy: deduct 50 yuan from performance bonus).

[0125] Anomalies of the same type may have occurred multiple times historically, and the primary anomaly management strategy may differ each time. Therefore, it is necessary to identify the anomaly type, such as late attendance. The primary anomaly management strategy belonging to the same anomaly type is then used as the secondary anomaly management strategy. A pre-defined correlation analysis model is used: records of multiple manual analyses of the relationship between the secondary anomaly management strategy and the subsequent performance of staff are used to train a pre-defined neural network model. When the neural network model converges, the correlation analysis model is obtained. Based on the correlation analysis model, a correlation value is determined (the higher the correlation value, the more relevant the performance of the managed staff is to the corresponding secondary anomaly management strategy). A pre-defined correlation value-suitability library includes multiple one-to-one correspondences of correlation values ​​and suitability values; the library is consulted to determine the suitability corresponding to the correlation value. The secondary anomaly strategy with the highest suitability is determined as the secondary anomaly management strategy for the anomaly group corresponding to the anomaly type (the most suitable anomaly management strategy historically corresponding to the anomaly type). The anomaly type and its corresponding secondary anomaly management strategy are used as training data input into the pre-defined neural network model for training until convergence, thus obtaining the target anomaly management strategy determination model.

[0126] This application introduces subsequent work performance values ​​to determine the second anomaly management strategy corresponding to employees with good subsequent work performance. It also introduces a correlation analysis model to determine the correlation between the second anomaly management strategy and the corresponding subsequent work performance values. Based on the correlation, it determines the suitability of the second anomaly management strategy and selects the third anomaly management strategy with the highest suitability among the second anomaly management strategies of the same anomaly type as training data for model training. This improves the suitability of obtaining the training target and further enhances the rationality of determining the subsequent strategies of the target anomaly management strategy determination model.

[0127] In one embodiment, the data-linked property management system further includes:

[0128] The emergency dispatch module is used to obtain real-time information on emergencies within the community managed by the property management organization. When the staff member in the management area where the emergency occurs needs assistance, other personnel are urgently dispatched to provide assistance.

[0129] The provision that when the staff in the management area where the emergency occurs require assistance, other personnel shall be urgently dispatched to provide assistance, includes:

[0130] The system acquires assistance request information from the management area in real time, including the request location and request requirements.

[0131] Obtain the location distribution map of the staff, and determine the first location of the available staff in the location distribution map and the second location corresponding to the requested location;

[0132] Based on the first location, the second location, and the location distribution map, determine the available staff member who can arrive at the location fastest and use them as the target assistant.

[0133] The assistance request information is sent to the target assistance personnel, and the target assistance personnel are notified to go to the requested location.

[0134] The working principle and beneficial effects of the above technical solution are as follows:

[0135] Generally, the staffing of property management can ensure the normal operation of property management in a community. However, there are situations where there is a shortage of manpower due to emergencies in the community. Therefore, it is urgent to solve this problem.

[0136] An emergency is defined as follows: For example, if an infectious disease source appears in Community A, the corresponding road sections along the source's activity trajectory need to be disinfected immediately to prevent secondary transmission of the virus. When staff in the managed area where the emergency occurred (e.g., Community A) require assistance (e.g., two people are needed to help with disinfection), other personnel will be dispatched to assist.

[0137] When dispatching other personnel for assistance, the system obtains assistance request information, which includes the requested location and request details. The location distribution map is an electronic dot map obtained by marking staff locations in real-time on a map of the managed area; staff locations can be obtained using portable positioning devices. The system acquires the staff's work status, which is freely marked by the staff, and determines the first available staff member and the second requested location on the location distribution map. It then identifies the target assistance personnel among the available staff who can arrive fastest and sends the assistance request information to them (during which time, the system obtains the target assistance personnel's connection node, communicates and connects with the connection node, and sends the assistance request information).

[0138] This application introduces a staff location distribution map, which allows for the emergency dispatch of other personnel to assist in the event of an emergency in the managed area, thereby improving the timeliness of emergency response and enhancing the quality of property management.

[0139] In one embodiment, determining the available staff member who can arrive fastest to provide assistance based on the first location, the second location, and the location distribution map includes:

[0140] Based on path planning technology, the shortest path between the first point and the second point in the location distribution map is planned;

[0141] Calculate the path length of each of the shortest paths, and determine the travel time of the shortest path based on the path length;

[0142] Obtain road condition information for the road corresponding to the shortest path;

[0143] Based on the road condition information, the waiting points on the shortest path are determined;

[0144] Obtain the average waiting time of pedestrians at the specified waiting point;

[0145] The travel time and average waiting time of the same shortest path are summed to obtain the target arrival time.

[0146] The available staff member with the shortest arrival time for the target can arrive to provide assistance as quickly as possible.

[0147] The working principle and beneficial effects of the above technical solution are as follows:

[0148] Based on path planning technology, the shortest path between the first and second points is planned in the location distribution map. Path planning technology is existing and will not be elaborated upon. Generally, the shorter the path, the faster the available staff can arrive. However, the road conditions of each shortest path are different. For example, for the same distance, roads with more traffic lights and higher pedestrian traffic will take pedestrians longer to cross. Therefore, road condition information (e.g., the number of traffic lights) corresponding to each shortest path is obtained. Based on the road condition information, waiting points on the shortest path are determined, and the average waiting time at each waiting point is obtained (e.g., 1 minute). The travel time and average waiting time of vehicles belonging to the same shortest path are summed to obtain the target arrival time. The formula for calculating the target arrival time is as follows:

[0149]

[0150] Among them, T i Let s be the destination arrival time of the i-th shortest path. i Let t be the path length of the i-th shortest path. i,j Let be the average waiting time of the j-th waiting point on the i-th shortest path, and n be the total number of waiting points on the i-th shortest path.

[0151] This invention provides a property management method based on data linkage, such as... Figure 2 As shown, it includes:

[0152] Step 1: Based on data linkage technology, obtain the real-time staff scheduling information of the property management organization that needs to perform property management;

[0153] Step 2: Based on the scheduling information, determine the dynamic check-in task for the staff; the dynamic check-in task includes: target check-in location and target check-in time;

[0154] Step 3: Based on the dynamic check-in task, manage the staff accordingly.

[0155] In one embodiment, step 1: based on data linkage technology, obtaining in real-time the staff scheduling information of the property management organization that needs to perform property management, including:

[0156] Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization;

[0157] Parse the scheduling record to obtain the scheduling information corresponding to the staff member;

[0158] And / or,

[0159] The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn;

[0160] If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

[0161] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A property management system based on data linkage, characterized in that, include: The acquisition module is used to acquire, in real time, the staff scheduling information of the property management organization that needs to be managed, based on data linkage technology. The determination module is used to determine the dynamic check-in task of the staff based on the scheduling information; the dynamic check-in task includes: target check-in location and target check-in time; The management module is used to manage the staff based on the dynamic check-in task. The management module manages the staff based on the dynamic check-in task, including: Get the current time, and at the same time, get the check-in reminder time corresponding to the first time length preset before the target check-in time; When the current time reaches the check-in reminder time, check-in reminder information corresponding to the dynamic check-in task is generated based on the preset check-in reminder information generation rules; Obtain the actual check-in information for a preset second time period after the staff member receives the check-in reminder information. The actual check-in information includes: actual check-in time and actual check-in location. If the actual check-in time is before the target check-in time and the actual check-in location is within the preset range of the target check-in location, then the check-in is successful; Otherwise, obtain the check-in anomaly information for the corresponding staff member; Based on a preset abnormal feature extraction template, the abnormal feature values ​​of the sign-in abnormal information are extracted; Model for determining training objectives and anomaly management strategies; The abnormal feature value is input into the target anomaly management strategy determination model to obtain the target anomaly management strategy output by the target anomaly management strategy determination model; The training target anomaly management strategy determination model includes: Retrieve multiple historical anomaly management records; The staff member managed in the historical anomaly management record is identified as the performance observer; Obtain the subsequent work performance value of the performance observer after a preset third time length following the period after being managed; If the subsequent work performance value is greater than or equal to a preset first threshold, obtain the anomaly item and the first anomaly management strategy corresponding to the historical anomaly management record; Obtain the exception type of the exception item; The anomalies belonging to the same anomaly type are grouped into the same anomaly group, and the first anomaly management strategy corresponding to the anomaly group is determined and used as the second anomaly management strategy. Based on a preset correlation analysis model, a correlation analysis is performed on the second anomaly management strategy and the subsequent work performance values ​​of the corresponding performance observers to obtain correlation values; Query the preset relevant value-suitability library to determine the suitability corresponding to the relevant value; Determine the second anomaly management strategy corresponding to the maximum suitability, and use it as the third anomaly management strategy for the anomaly type corresponding to the anomaly group; The anomaly type and the corresponding third anomaly management strategy are used as training data to input into a preset neural network model for model training, thereby obtaining a trained target anomaly management strategy determination model.

2. A property management system based on data linkage as described in claim 1, characterized in that, The acquisition module, based on data linkage technology, acquires in real time the staff scheduling information of the property management organization that needs to perform property management, including: Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization; Parse the scheduling record to obtain the scheduling information corresponding to the staff member; And / or, The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn; If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

3. A property management system based on data linkage as described in claim 1, characterized in that, The determining module determines the dynamic check-in task of the staff based on the scheduling information, including: The scheduling information is analyzed to obtain the work area and work hours corresponding to the staff member; Based on the work area and the work period, the dynamic check-in task of the staff is determined.

4. A property management system based on data linkage as described in claim 1, characterized in that, Also includes: The emergency dispatch module is used to obtain real-time information on emergencies within the community managed by the property management organization. When the staff member in the management area where the emergency occurs needs assistance, other personnel are urgently dispatched to provide assistance. The provision that when the staff in the management area where the emergency occurs require assistance, other personnel are urgently dispatched to provide assistance includes: The system acquires assistance request information from the management area in real time, including the request location and request requirements. Obtain the location distribution map of the staff, and determine the first location of the available staff in the location distribution map and the second location corresponding to the requested location; Based on the first location, the second location, and the location distribution map, determine the available staff member who can arrive at the location fastest and use them as the target assistant. The assistance request information is sent to the target assistance personnel, and the target assistance personnel are notified to go to the requested location.

5. A property management system based on data linkage as described in claim 4, wherein determining the available staff member who can arrive fastest to provide assistance based on the first location, the second location, and the location distribution map includes: Based on path planning technology, the shortest path between the first point and the second point in the location distribution map is planned; Calculate the path length of each of the shortest paths, and determine the travel time of the shortest path based on the path length; Obtain road condition information for the road corresponding to the shortest path; Based on the road condition information, the waiting points on the shortest path are determined; Obtain the average waiting time of pedestrians at the specified waiting point; The travel time and average waiting time of the same shortest path are summed to obtain the target arrival time. The available staff member with the shortest arrival time for the target can arrive to provide assistance as quickly as possible.

6. A property management method based on data linkage, characterized in that, include: Step 1: Based on data linkage technology, obtain the real-time staff scheduling information of the property management organization that needs to perform property management; Step 2: Based on the scheduling information, determine the dynamic check-in task for the staff; The dynamic check-in task includes: target check-in location and target check-in time; Step 3: Based on the dynamic check-in task, manage the staff accordingly, including: Get the current time, and at the same time, get the check-in reminder time corresponding to the first time length preset before the target check-in time; When the current time reaches the check-in reminder time, check-in reminder information corresponding to the dynamic check-in task is generated based on the preset check-in reminder information generation rules; Obtain the actual check-in information for a preset second time period after the staff member receives the check-in reminder information. The actual check-in information includes: actual check-in time and actual check-in location. If the actual check-in time is before the target check-in time and the actual check-in location is within the preset range of the target check-in location, then the check-in is successful; Otherwise, obtain the check-in anomaly information for the corresponding staff member; Based on a preset abnormal feature extraction template, the abnormal feature values ​​of the sign-in abnormal information are extracted; Model for determining training objectives and anomaly management strategies; The abnormal feature value is input into the target anomaly management strategy determination model to obtain the target anomaly management strategy output by the target anomaly management strategy determination model; The training target anomaly management strategy determination model includes: Retrieve multiple historical anomaly management records; The staff member managed in the historical anomaly management record is identified as the performance observer; Obtain the subsequent work performance value of the performance observer after a preset third time length following the period after being managed; If the subsequent work performance value is greater than or equal to a preset first threshold, obtain the anomaly item and the first anomaly management strategy corresponding to the historical anomaly management record; Obtain the exception type of the exception item; The anomalies belonging to the same anomaly type are grouped into the same anomaly group, and the first anomaly management strategy corresponding to the anomaly group is determined and used as the second anomaly management strategy. Based on a preset correlation analysis model, a correlation analysis is performed on the second anomaly management strategy and the subsequent work performance values ​​of the corresponding performance observers to obtain correlation values; Query the preset relevant value-suitability library to determine the suitability corresponding to the relevant value; Determine the second anomaly management strategy corresponding to the maximum suitability, and use it as the third anomaly management strategy for the anomaly type corresponding to the anomaly group; The anomaly type and the corresponding third anomaly management strategy are used as training data to input into a preset neural network model for model training, thereby obtaining a trained target anomaly management strategy determination model.

7. A property management method based on data linkage as described in claim 6, characterized in that, Step 1: Based on data linkage technology, obtain in real-time the staff scheduling information of the property management organization that needs to perform property management, including: Obtain the staff's shift schedule records entered into the property management platform by the property management personnel of the property management organization; Parse the scheduling record to obtain the scheduling information corresponding to the staff member; And / or, The status type of the application status information of the scheduling application information uploaded by the staff is obtained, and the status type includes: application approved and application withdrawn; If the status type of the application status information is "application approved", then determine the corresponding scheduling information for the scheduling application information.

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