Property task processing personnel selection recommendation method and device, equipment and medium
By introducing a recommendation method for selecting and recommending processing personnel in the property management system, using task types and processing personnel record information to generate recommendation serial numbers, the problems of low order efficiency and low accuracy in the prior art are solved, and more efficient and accurate task allocation is achieved.
Patent Information
- Application Number
- CN202411836918.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-05-06
AI Technical Summary
In the existing property management system, the dispatch method of property work orders depends on the human judgment of the manager, resulting in low efficiency and low accuracy of order orders, and there may be too many tasks to be processed by the processor or nothing to do.
A method for selecting and recommending a property task handler is proposed. By determining the sequence number splicing sequence rules based on the task type of property tasks to be assigned, and a scoring sorting table is generated based on the task processing record information of candidate handlers, various sorting numbers are determined, and recommendation number is generated through number sorting and splicing, and finally providing the order dispatch supervisor with the selection recommendation information.
It improves the accuracy and efficiency of the dispatch supervisor, ensures the balance and professionalism of the task allocation of personnel, and reduces the situation where the task progress is slow or cannot be promoted.
Smart Images
Figure CN119940772A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of property task management, and in particular to a method, device, equipment, and medium for selecting and recommending personnel for handling property tasks. Background Art
[0002] Property management is an indispensable part of the daily maintenance of the park. Residential areas, hospitals, factories and other places all need a complete property management system to maintain daily operation. Equipment maintenance, inspection, procurement of materials, etc. are all important components of property work. These pending tasks need to be handled by personnel in a timely manner. However, these pending tasks are very complicated, and the time and time required for processing are also different. Therefore, in the existing property management, the way to dispatch property work orders is to dispatch property work orders to the dispatch person in charge or management personnel, and then the management personnel will assign the work order handler according to the work order business type, employee duty status, matching professional counterparts, and asking or checking the employee's free time at the property management meeting; and record and organize the new personnel-task work order.
[0003] The existing work order management method requires managers to make manual judgments to dispatch orders. When there are many work orders, only relying on managers' manual judgments and dispatching orders will not only lead to low dispatching efficiency, but also imbalanced dispatching. For example, some processing personnel have too many pending tasks to complete in time, while some processing personnel have nothing to do. There may also be low dispatching accuracy, for example, some highly professional pending tasks are mistakenly assigned to processing personnel with inappropriate professional skills, resulting in slow progress of pending tasks or even failure to advance, and the dispatching needs to be re-coordinated, which greatly reduces the efficiency of task processing. It can be seen that relying on dispatching managers to dispatch orders based on manual judgment has low dispatching efficiency and low dispatching accuracy. Therefore, how to improve the dispatching accuracy and dispatching efficiency of dispatching supervisors is an urgent problem to be solved. Summary of the invention
[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a method and device, equipment, and medium for selecting and recommending handlers for property tasks, which can generate corresponding handler selection recommendation information based on the property tasks to be assigned, provide a reliable reference for dispatch supervisors to dispatch orders, and help improve the dispatch supervisor's dispatch accuracy and dispatch efficiency.
[0005] In a first aspect, an embodiment of the present application provides a method for selecting and recommending personnel for handling property tasks, which is applied to a property platform of a property management system. The method includes:
[0006] Determine the preset sequence number splicing order rules according to the task type identification of the reported property task to be assigned;
[0007] According to the acquired task processing record information of each candidate processing personnel, the recommended indicator scoring process and the scoring ranking table generation process based on the preset sequence number compilation rule are performed in sequence to obtain the task matching degree ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table of the candidate processing personnel;
[0008] Determine the task matching ranking number, the idleness ranking number, the task completion efficiency ranking number, and the task completion quality ranking number of each candidate processing personnel from the task matching ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table respectively;
[0009] According to the sequence number splicing order rule, the task matching degree sequence number, the idle degree sequence number, the task completion efficiency sequence number, and the task completion quality sequence number are sequenced and spliced to obtain a recommendation degree sequence number;
[0010] Sorting the plurality of candidate processing personnel in the order of the recommendation degree numbers from small to large to obtain personnel sorting information, and determining target recommendation objects from the personnel sorting information according to a preset number;
[0011] Processing personnel selection recommendation information is generated according to the task type identifier and the target recommendation object, so as to push the processing personnel selection recommendation information to the dispatching interface of the corresponding dispatching supervisor.
[0012] In the second aspect, an embodiment of the present application provides a device for recommending the selection of handlers, comprising at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for recommending the selection of handlers for property tasks as described in the embodiment of the first aspect.
[0013] In a third aspect, an embodiment of the present application provides an electronic device, including a personnel selection and recommendation device as described in the embodiment of the second aspect.
[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the method for selecting and recommending personnel to handle property tasks as described in the embodiment of the first aspect.
[0015] The embodiment of the present application includes: in the process of assigning property tasks to be assigned to employees through the property platform of the property management system, first, according to the task type identifier of the reported property task to be assigned, a preset serial number splicing order rule is determined; then, according to the task processing record information of each candidate processing personnel obtained, the recommended indicator scoring process and the scoring ranking table generation process based on the preset serial number compilation rule are performed in turn to obtain the task matching degree ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table of the candidate processing personnel; the preset serial number compilation rule is used to provide specifications for the subsequent scoring ranking table generation process to generate various scoring ranking tables in a unified form; then, the task matching degree ranking number, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table of each candidate processing personnel are determined respectively. Idleness sorting number, task completion efficiency sorting number, task completion quality sorting number; then, according to the number splicing order rule, the task matching degree sorting number, the idleness sorting number, the task completion efficiency sorting number, and the task completion quality sorting number are sorted and spliced to obtain the recommendation degree sequence number; then, according to the recommendation degree sequence number from small to large, multiple candidate processing personnel are sorted to obtain personnel sorting information, and the target recommendation object is determined from the personnel sorting information according to the preset number; laying the foundation for generating processing personnel selection recommendation information; finally, according to the task type identifier and the target recommendation object, the processing personnel selection recommendation information is generated to push the processing personnel selection recommendation information to the corresponding dispatching supervisor's dispatching interface; so that when the dispatching supervisor dispatches the property task, the processing personnel selection recommendation information provides a reliable reference for the dispatching supervisor, thereby improving the dispatching accuracy and dispatching efficiency of the dispatching supervisor. That is to say, the embodiment of the present application can generate corresponding processing personnel selection recommendation information based on the property task to be assigned, provide a reliable reference for the dispatching supervisor to dispatch, and is conducive to improving the dispatching accuracy and dispatching efficiency of the dispatching supervisor. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a schematic diagram of the system structure of a property system provided by an embodiment of the present application;
[0017] Figure 2 This is a schematic diagram of the steps of a method for selecting and recommending personnel to handle property tasks provided by an embodiment of the present application;
[0018] Figure 3 It is a schematic diagram of a correspondence table between a task type identifier of a property task and a sequence number splicing order rule provided by an embodiment of the present application;
[0019] Figure 4 This is a schematic diagram of a specific process of generating a recommendation degree sequence number provided by an embodiment of the present application;
[0020] Figure 5 It is a schematic diagram of the hardware structure of a personnel selection and recommendation device provided by an embodiment of the present application. DETAILED DESCRIPTION
[0021] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments.
[0022] It should be understood that in the description of the present application, the orientation descriptions, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.
[0023] It should be noted that although a logical order is shown in the flowchart in the description of the present application, in some cases, the steps shown or described may be performed in an order different from that in the flowchart. In the description of the present application, a number of means one or more, and a plurality of means two or more. The description of "first" and "second" is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.
[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.
[0025] The present application discloses a method for selecting and recommending handlers for property tasks, as well as a handler selection and recommendation, an electronic device, and a computer-readable storage medium, and relates to the technical field of property task management. The method includes: determining a preset serial number splicing order rule according to the task type identifier of the property task to be assigned; performing a recommendation index scoring process and a scoring ranking table generation process based on the preset serial number compilation rule in turn according to the task processing record information of each candidate handler, determining the task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number of each candidate handler, and performing a number sorting and splicing process to obtain a recommendation degree serial number; determining a target recommendation object from multiple candidate handlers based on the recommendation degree serial number and a preset number, and generating handler selection recommendation information in combination with the task type identifier and the target recommendation object. It can provide a reliable reference for the dispatch supervisor to dispatch orders, which is conducive to improving the dispatch accuracy and dispatch efficiency of the dispatch supervisor.
[0026] The embodiments of the present application are further described below in conjunction with the accompanying drawings.
[0027] like Figure 1 As shown, the property management system includes: a property platform and multiple management terminals that are communicatively connected to the property platform.
[0028] It is understandable that different departments are involved in property management, and different departments have different management rights, and different dispatch supervisors have different dispatch rights; therefore, multiple management terminals are set up, and the property platform will send the generated processing personnel selection recommendation information to the management terminal with corresponding allocation authority; so that each dispatch supervisor can assign tasks through the processing personnel selection recommendation information pushed to the management terminal. In addition, employees can also report property tasks to be coordinated and assigned through the management terminal.
[0029] The property platform provided in the embodiment of the present application is used for: interactive communication with the management terminal, and executing the method for selecting and recommending handlers for property tasks provided in the embodiment of the present application, which can generate corresponding handler selection recommendation information based on the property tasks to be assigned, and provide a reliable reference for the dispatch supervisor to dispatch orders, which is conducive to improving the dispatch supervisor's dispatch accuracy and dispatch efficiency.
[0030] Those skilled in the art will appreciate that the system structure shown in the figure does not constitute a limitation on the embodiments of the present application, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.
[0031] The system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.
[0032] Those skilled in the art will appreciate that the system architecture and application scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of the system architecture and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.
[0033] Based on the above system structure, various embodiments of the method for recommending the selection of property task handlers of the present application are proposed below.
[0034] First, as Figure 2 As shown, the recommended method for selecting and assigning personnel to handle property tasks can be applied to Figure 1In the property management system's property platform shown, the method for recommending the selection of personnel to handle the property task may include but is not limited to steps S110 to S160.
[0035] Step S110: Determine a preset serial number splicing order rule according to the task type identifier of the reported property task to be assigned.
[0036] Step S120: Based on the acquired task processing record information of each candidate processor, the recommended indicator scoring process and the scoring ranking table generation process based on the preset serial number compilation rules are performed in turn to obtain a task matching ranking table, an idleness ranking table, a task completion efficiency ranking table, and a task completion quality ranking table for the candidate processors.
[0037] Step S130: Determine the task matching ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number of each candidate processing personnel from the task matching ranking table, idleness ranking table, task completion efficiency ranking table, and task completion quality ranking table respectively.
[0038] Step S140: According to the sequence number splicing order rule, the task matching degree ranking number, the idle degree ranking number, the task completion efficiency ranking number, and the task completion quality ranking number are sorted and spliced to obtain the recommendation degree sequence number.
[0039] Step S150: sorting multiple candidate processing personnel in ascending order of recommendation degree numbers to obtain personnel sorting information, and determining target recommendation objects from the personnel sorting information according to a preset number.
[0040] Step S160: Generate processing personnel selection recommendation information according to the task type identifier and the target recommendation object, and push the processing personnel selection recommendation information to the dispatching interface of the corresponding dispatching supervisor.
[0041] To further explain step S110, it is understandable that the property tasks in property management are diverse and complicated, and the types of property tasks include but are not limited to: procurement, maintenance, patrol, re-inspection, etc. When the categories of property tasks are the same, but the specific processing objects of the property tasks are different, they are also regarded as different property tasks. For example, although they are all maintenance work, the maintenance objects of curtain wall maintenance, power generation equipment maintenance, and rest chairs in public areas are different, and they are regarded as three different property tasks.
[0042] In step S110, different types of property tasks are identified by using different task type identifiers, so as to quickly identify and determine the reported property tasks to be assigned. In addition, different types of property tasks have different requirements for task handlers. For example: when repairing the curtain wall of the park, the most important thing to consider is the professional ability of the handler, followed by the idleness, then the quality of task completion, and finally the efficiency of task completion; when purchasing daily office supplies, the most important thing to consider is whether the handler is idle, followed by the efficiency of task completion, then the quality of task completion, and finally the professional ability of the handler. Therefore, if Figure 3 As shown, when the property task is: repairing the curtain wall, the sequence of sequence number splicing indicated by the corresponding sequence number splicing order rule is: task matching degree ranking number, idleness ranking number, task completion quality ranking number, and task completion efficiency ranking number; when the property task is: purchasing materials, the sequence of sequence number splicing indicated by the corresponding sequence number splicing order rule is: idleness ranking number, task completion efficiency ranking number, task matching degree ranking number, and task completion quality ranking number. There are other correspondences between task type identifiers and sequence number splicing order rules, which are not listed here one by one. It can be seen that the embodiment of the present application can pre-configure sequence number splicing order rules based on the different requirements of different property tasks for task handlers, laying the foundation for the subsequent number sorting and splicing processing of step S140.
[0043] In the embodiment of the present application, through steps S110 to S160, in the process of assigning property tasks to be assigned to employees through the property platform of the property management system, first, according to the task type identifier of the reported property task to be assigned, a preset serial number splicing order rule is determined; then, according to the task processing record information of each candidate processing personnel obtained, the recommended indicator scoring process and the scoring ranking table generation process based on the preset serial number compilation rule are performed in turn to obtain the task matching ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table of the candidate processing personnel; the preset serial number compilation rule is used to provide specifications for the subsequent scoring ranking table generation process to generate various scoring ranking tables in a unified form; then, the task matching of each candidate processing personnel is determined from the task matching ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table. Matching ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number; then, according to the number splicing order rule, the task matching ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number are sorted and spliced to obtain the recommendation number; then, according to the recommendation number from small to large, multiple candidate processing personnel are sorted to obtain personnel sorting information, and the target recommendation object is determined from the personnel sorting information according to the preset number; laying the foundation for generating processing personnel selection recommendation information; finally, according to the task type identifier and the target recommendation object, the processing personnel selection recommendation information is generated to push the processing personnel selection recommendation information to the dispatch interface of the corresponding dispatch supervisor; so that when the dispatch supervisor dispatches the property task, the processing personnel selection recommendation information provides a reliable reference for the dispatch supervisor, thereby improving the dispatch accuracy and dispatch efficiency of the dispatch supervisor. Therefore, the embodiment of the present application can generate the corresponding processing personnel selection recommendation information based on the property task to be assigned, provide a reliable reference for the dispatch supervisor to dispatch, and is conducive to improving the dispatch accuracy and dispatch efficiency of the dispatch supervisor.
[0044] According to some embodiments of the present application, step S120 is further described. Among them, the recommended indicator scoring process includes: task matching evaluation process, idleness evaluation process, task completion efficiency evaluation process, and task completion quality evaluation process; task processing record information: task processing history information and task processing current information. Specifically, the recommended indicator scoring process includes but is not limited to: performing task matching evaluation process on each task processing history information to obtain a matching score for each candidate processor; performing idleness evaluation process on each task processing current information to obtain an idleness score for each candidate processor; performing task completion efficiency evaluation process on each task processing history information to obtain a completion efficiency score for each candidate processor; performing task completion quality evaluation process on each task processing history information to obtain a completion quality score for each candidate processor.
[0045] Specifically, the task matching evaluation process includes: obtaining the processing volume of similar tasks of the same type as the business task to be assigned by the candidate processing personnel from the task processing history information; and determining the matching score according to the processing volume of similar tasks. Specifically, when the processing volume of similar tasks is 50, the matching score is 50.
[0046] Specifically, the idleness evaluation process includes: determining the current pending task volume of the candidate processing personnel from the current task processing information, determining the load volume score according to the pending task volume; and obtaining the idleness score by subtracting the load volume score from the preset full score. Specifically, if the current pending task volume of the candidate processing personnel is 30, the load volume score is 30 points. When the preset full score is 50 points, the idleness score is 20 by subtracting the load volume score from the preset full score.
[0047] Specifically, the task completion efficiency evaluation process includes: obtaining the business completion information and the amount of completed tasks of the candidate processing personnel from the task processing history information; according to the business completion information, taking the difference between the start time and the required completion time of each completed property task as the standard processing time, and taking the difference between the start time and the actual completion time of each completed property task as the actual processing time; dividing the sum of the actual processing time of all the tasks completed by the employee by the sum of the standard processing time of all the tasks completed by the employee to obtain the task completion efficiency; subtracting the task completion efficiency from 1 to obtain the completion efficiency score. Specifically, Example 1: When the sum of the actual processing time of employee No. 1 is 80 minutes and the sum of the standard processing time is 100 minutes, the task completion efficiency is 0.8, and subtracting the task completion efficiency from 1 will result in a completion efficiency score of 0.2. Example 2: When the sum of the actual processing time of employee No. 2 is 120 minutes and the sum of the standard processing time is 100 minutes, the task completion efficiency is 1.2. Subtracting the task completion efficiency from 1 gives a completion efficiency score of -0.2. It can be seen that the completion efficiency score of employee No. 1 is higher than that of employee No. 2, and employee No. 1 has a higher completion efficiency.
[0048] Specifically, the task completion quality assessment process includes: obtaining the total completion volume of the candidate processing personnel, the number of tasks complained about, and the number of tasks that failed the quality inspection; obtaining a first ratio of the number of tasks complained about to the total completion volume, and a second ratio of the number of tasks that failed the quality inspection to the total completion volume, and subtracting the first ratio and the second ratio from the preset value 1 in turn to obtain the completion quality score. Specifically, when the total completion volume is 100, the number of tasks complained about is 20, and the number of tasks that failed the quality inspection is 10, the first ratio is 0.2, the second ratio is 0.1, and the completion quality score is 0.7. If the number of tasks complained about and the number of tasks that failed the quality inspection are both 0, the completion quality score is 1.
[0049] The embodiment of the present application performs recommendation index scoring based on the task processing record information to obtain: matching score, idleness score, completion efficiency score, and completion quality score, providing a reliable reference for subsequent scoring ranking table generation processing.
[0050] According to some embodiments of the present application, the preset serial number compilation rule is: sort all candidate processing personnel in descending order of the reference score to obtain a sorted personnel list; identify the first candidate processing personnel in the personnel list with a first serial number; wherein the first serial number is 0; starting from the first serial number 0, automatically and sequentially identify the intermediate serial numbers for all candidate processing personnel in the personnel list in an incrementing manner of 1 until the preset final serial number is identified; wherein the final serial number is 8; uniformly identify the terminal serial number for the candidate processing personnel after the final serial number; wherein the terminal serial number is 9. In this way, the embodiments of the present application provide specifications for the subsequent generation and processing of the score ranking table through the preset serial number compilation rule, so as to generate various types of score ranking tables in a unified form.
[0051] According to some embodiments of the present application, the scoring ranking table generation process includes: performing a first sorting and numbering process according to a preset sequence number compilation rule and a matching score to obtain a task matching ranking table; performing a second sorting and numbering process according to a preset sequence number compilation rule and an idleness score to obtain an idleness ranking table; performing a third sorting and numbering process according to a preset sequence number compilation rule and a completion efficiency score to obtain a task completion efficiency ranking table; performing a fourth sorting and numbering process according to a preset sequence number compilation rule and a completion quality score to obtain a task completion quality ranking table. In this way, the embodiment of the present application is based on the preset sequence number compilation rule, and sorts and numbers based on the matching score, idleness score, completion efficiency score, and completion quality score to obtain a task matching ranking table, an idleness ranking table, a task completion efficiency ranking table, and a task completion quality ranking table, so as to quickly determine the task matching ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number of each candidate processing personnel.
[0052] According to some embodiments of the present application, step S140 is further described. Step S140: according to the sequence number splicing order rule, the task matching degree ranking number, the idleness ranking number, the task completion efficiency ranking number, and the task completion quality ranking number are sorted and spliced to obtain the recommendation degree sequence number, including but not limited to the following steps:
[0053] First, determine the data splicing order according to the serial number splicing order rule; secondly, sort the task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number according to the data splicing order to obtain the sorted task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number; finally, concatenate the sorted task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number in sequence to obtain a decimal recommendation degree number; the recommendation degree number is less than or equal to 9999; wherein, the recommendation degree number is used to indicate the degree of compatibility between the candidate processing personnel and the property task to be processed, the smaller the recommendation degree number, the higher the degree of compatibility between the candidate processing personnel and the property task to be processed; the larger the recommendation degree number, the lower the degree of compatibility between the candidate processing personnel and the property task to be processed.
[0054] The embodiment of the present application can relatively quickly generate a recommendation degree number based on each candidate processing personnel by directly splicing the re-sorted task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number, and measure the compatibility between the candidate processing personnel and the property task to be processed through the recommendation degree number; so as to facilitate the selection of candidate processing personnel with relatively high compatibility as target recommendation objects.
[0055] After obtaining the recommendation degree sequence number, step S150 is executed to sort multiple candidate processing personnel in ascending order of the recommendation degree sequence number to obtain personnel sorting information, and determine the target recommendation objects from the personnel sorting information according to a preset number; and select a certain number of target recommendation objects. Specifically, when the preset number is 3, the first three candidate processing personnel in the personnel sorting information are determined as target recommendation objects.
[0056] It is understandable that the preset number in step S150 can be configured according to actual needs, and the present application does not impose any specific limitation on the value of the preset number.
[0057] It should be noted that when two-digit numbers appear in the ranking numbers in each scoring ranking table, it will affect the uniqueness of the recommendation degree numbers generated by subsequent splicing. For example, when two-digit ranking numbers are used, employee No. 3: task matching ranking number 0, idleness ranking number 0, task completion efficiency ranking number 1, task completion quality ranking number 17; employee No. 4: task matching ranking number 0, idleness ranking number 0, task completion efficiency ranking number 11, task completion quality ranking number 7; when the task matching ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number are spliced in sequence, the recommendation degree numbers of employee No. 3 and employee No. 4 are both 00117. The recommendation degree numbers of the two are the same, not unique, and cannot reflect the degree of adaptation between the employees and the tasks to be processed, and are not convenient for sorting and screening. And if the ranking numbers exceeding 9 are uniformly compiled as 9, then the task completion quality ranking number 17 of employee No. 3 and the task completion efficiency ranking number 11 of employee No. 4 are uniformly compiled as 9, then the recommendation number of employee No. 3 is: 0019; the recommendation number of employee No. 4 is 0097. According to the task requirements: the task completion efficiency ranking number takes precedence over the task completion quality ranking number, then the recommendation number of employee No. 3 with a smaller recommendation number is higher. In this way, the embodiment of the present application ensures the uniqueness of the subsequently generated recommendation numbers through the preset number compilation rules. It should be noted that under the preset number compilation rules, when the recommendation numbers generated for two different employees are still the same, it means that the degree of adaptation of the two to the business task to be processed is consistent.
[0058] like Figure 4 As shown in FIG. 1 , an example is given to illustrate the specific process of recommending the degree number in the embodiment of the present application. After the task processing record information of each candidate processing personnel is obtained and the recommendation index scoring process and the scoring ranking table is generated, the following is obtained: Figure 4 The indicated task matching ranking table, idleness ranking table, task completion efficiency ranking table, and task completion quality ranking table; when the property task is to repair the curtain wall, Figure 3 The corresponding relationship table shown in the figure shows that when determining the curtain wall repair, the sequence of the sequence number splicing order indicated by the sequence number splicing order rule is: task matching degree ranking number, idleness ranking number, task completion quality ranking number, and task completion efficiency ranking number. The recommended degree sequence number of each candidate processing personnel is generated by performing number sorting and splicing processing. For example: the task matching degree ranking number of candidate processing personnel A is 0, the idleness ranking number is 0, the task completion efficiency ranking number is 5, and the task completion quality ranking number is 6; after re-sorting and splicing, the recommended degree sequence number is 0065. Similarly, the recommended degree sequence numbers of other candidate processing personnel can be obtained.
[0059] According to some embodiments of the present application, the property management system further includes a plurality of management terminals that are connected to the property platform in communication; the processing personnel selection recommendation information includes: a plurality of personnel recommendation lists corresponding to a plurality of different task type identifiers; after determining at least one target recommendation object of the property task to be assigned through step S150, executing step S160 to generate the processing personnel selection recommendation information according to the task type identifier and the target recommendation object. In step S160: after generating the processing personnel selection recommendation information according to the task type identifier and the target recommendation object, the processing personnel selection recommendation method for the property task further includes but is not limited to steps S210 to S250.
[0060] Step S210: Determine multiple personnel recommendation lists corresponding to multiple different task type identifiers from the processing personnel selection recommendation information.
[0061] Step S220: Push the corresponding personnel recommendation list to the dispatching interface of the corresponding management terminal according to the task type identifier, and display the personnel recommendation list.
[0062] Step S230: In response to the processor selection instruction issued by the management terminal, determine the recommended list of operated personnel and the target selected object, update the task processing record information of the target selected object, and obtain updated task processing record information.
[0063] Step S240: Highlight the target selected object in the remaining personnel recommendation list, and record the number of times the target selected object is selected in real time.
[0064] Step S250: When the number of selections reaches a first preset number threshold, the entire personnel recommendation list is updated according to the updated task processing record information.
[0065] To further illustrate, in step S210, a personnel recommendation list is generated based on a reported task type identifier. For example, when the property task is to repair curtain walls, a personnel recommendation list for repairing curtain walls is generated; when the property task is to purchase materials, a personnel recommendation list for purchasing materials is generated.
[0066] Through step S220, the personnel recommendation lists generated for different task type identifiers are pushed to the dispatching interface of the management terminal with corresponding allocation authority, so that the corresponding dispatching supervisor can obtain the corresponding personnel recommendation list based on the management terminal for reference and perform task dispatch.
[0067] Through step S230 and step S240, when the dispatch supervisor operates the personnel recommendation list and selects a handler, the management terminal will send the handler selection instruction to the property platform. The property platform determines the operated personnel recommendation list and the target selected object in response to the handler selection instruction, and then updates the task processing record information of the target selected object to obtain the updated task processing record information; and highlights the target selected object in the remaining personnel recommendation lists to remind other dispatch supervisors that the handler has been assigned tasks recently, thereby reducing the situation where multiple property businesses are assigned to the same handler at the same time, resulting in task accumulation and inability to be completed in time, so as to improve the dispatch accuracy; the number of times the target selected object is selected is recorded in real time. When the number of selections reaches the first preset number threshold, the entire personnel recommendation list is updated based on the most recent update of the task processing record information to ensure the timeliness and reliability of the personnel recommendation list.
[0068] It is understandable that the first preset number threshold can be determined according to actual needs. Therefore, the present application does not impose any specific limitation on the value of the first preset number threshold.
[0069] The updating mechanism of the personnel recommendation list is implemented through steps S210 to S250, thereby ensuring the timeliness and reliability of processing the personnel selection recommendation information.
[0070] According to some embodiments of the present application, the method for selecting and recommending personnel for handling property tasks also includes: within a preset selection cycle, when the number of times the same target selected object is selected reaches a second preset number threshold, in the personnel recommendation list including the target selected object, the target selected object is configured as a prohibited object; when the prohibited object is selected, a prohibited warning is issued. This prompts the dispatch supervisor that the target recommended object has been selected too much in the preset selection cycle, and continuing to assign tasks will be overloaded, causing task accumulation; the current business tasks to be assigned need to be assigned to other target recommended objects; so as to balance the dispatch; and improve the dispatch accuracy and dispatch efficiency of the dispatch supervisor.
[0071] Specifically, the second preset number threshold is greater than the first preset number threshold.
[0072] It should be noted that the preset selection cycle and the second preset number threshold can be configured according to actual needs. Therefore, this application does not impose specific restrictions on the values of the preset selection cycle and the second preset number threshold.
[0073] like Figure 5 As shown, the present invention also provides a personnel selection and recommendation device, comprising:
[0074] The processor 501 may be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;
[0075] The memory 502 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM). The memory 502 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 502, and the processor 501 calls and executes the method for selecting and recommending personnel for handling property tasks in the embodiment of this application;
[0076] Input / output interface 503, used to implement information input and output;
[0077] Communication interface 504, used to realize communication interaction between the present apparatus and other devices, which can be realized by wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.);
[0078] A bus 505 that transmits information between the various components of the device (e.g., the processor 501, the memory 502, the input / output interface 503, and the communication interface 504);
[0079] The processor 501 , the memory 502 , the input / output interface 503 and the communication interface 504 are connected to each other in communication within the device via a bus 505 .
[0080] An embodiment of the present application also provides an electronic device, including the above-mentioned device for processing personnel selection and recommendation.
[0081] An embodiment of the present application also provides a storage medium, which is a computer-readable storage medium and stores a computer program. When the computer program is executed by a processor, it implements the method for selecting and recommending personnel to handle the above-mentioned property tasks.
[0082] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and are implemented to be located in one place, or may also be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.
[0083] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.
[0084] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present application. These equivalent deformations or substitutions are all included in the scope defined by the present application.
Claims
1. A method for selecting and recommending personnel for handling property tasks, characterized in that: A property platform applied to a property management system, the method comprising: Determine the preset sequence number splicing order rules according to the task type identification of the reported property task to be assigned; According to the acquired task processing record information of each candidate processing personnel, the recommended indicator scoring process and the scoring ranking table generation process based on the preset sequence number compilation rule are performed in sequence to obtain the task matching degree ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table of the candidate processing personnel; Determine the task matching ranking number, the idleness ranking number, the task completion efficiency ranking number, and the task completion quality ranking number of each candidate processing personnel from the task matching ranking table, the idleness ranking table, the task completion efficiency ranking table, and the task completion quality ranking table respectively; According to the sequence number splicing order rule, the task matching degree sequence number, the idle degree sequence number, the task completion efficiency sequence number, and the task completion quality sequence number are sequenced and spliced to obtain a recommendation degree sequence number; Sorting the plurality of candidate processing personnel in the order of the recommendation degree numbers from small to large to obtain personnel sorting information, and determining target recommendation objects from the personnel sorting information according to a preset number; Processing personnel selection recommendation information is generated according to the task type identifier and the target recommendation object, so as to push the processing personnel selection recommendation information to the dispatching interface of the corresponding dispatching supervisor.
2. The method for selecting and recommending personnel for handling property tasks according to claim 1, characterized in that: The step of performing number sorting and splicing processing on the task matching degree ranking number, the idleness ranking number, the task completion efficiency ranking number, and the task completion quality ranking number according to the sequence number splicing order rule to obtain the recommendation degree ranking number includes: Determine the data splicing order according to the sequence number splicing order rule; According to the data splicing order, the task matching degree ranking number, the idleness ranking number, the task completion efficiency ranking number, and the task completion quality ranking number are sorted to obtain sorted task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number; The sorted task matching degree ranking number, idleness ranking number, task completion efficiency ranking number, and task completion quality ranking number are sequentially concatenated to obtain the decimal recommendation degree number; the recommendation degree number is less than or equal to 9999; wherein, the recommendation degree number is used to indicate the degree of compatibility between the candidate processing personnel and the property task to be processed, the smaller the recommendation degree number, the higher the degree of compatibility between the candidate processing personnel and the property task to be processed; the larger the recommendation degree number, the lower the degree of compatibility between the candidate processing personnel and the property task to be processed.
3. The method for selecting and recommending personnel for handling property tasks according to claim 1, characterized in that: The preset serial number compilation rule is: Sorting all the candidate processing personnel in descending order of the reference score values to obtain a sorted personnel list; Identify the first candidate processing personnel in the personnel list with a first ranking number, wherein the first ranking number is 0; Starting from the first ranking number 0, the intermediate ranking numbers of all the candidate processing personnel in the personnel list are automatically and sequentially identified in an increment of 1 until the preset final ranking number is identified; wherein the final ranking number is 8; A uniform end ranking number is identified for the candidate processing personnel located after the last ranking number; wherein the end ranking number is 9.
4. The method for selecting and recommending personnel for handling property tasks according to claim 3, characterized in that: The task processing record information includes task processing history information and task processing current information; the recommendation index scoring process includes: Performing task matching evaluation on each of the task processing history information to obtain a matching score for each of the candidate processing personnel; Performing an idleness evaluation process on each of the current task processing information to obtain an idleness score for each of the candidate processing personnel; Performing task completion efficiency evaluation on each of the task processing history information to obtain a completion efficiency score for each of the candidate processing personnel; The task completion quality assessment process is performed on each of the task processing history information to obtain a completion quality score of each of the candidate processing personnel.
5. The method for selecting and recommending personnel for handling property tasks according to claim 4, characterized in that: The scoring ranking table generation process includes: Performing a first sorting and numbering process according to the preset sequence numbering rule and the matching score to obtain the task matching ranking table; Performing a second sorting and numbering process according to the preset sequence numbering rule and the idleness score to obtain the idleness sorting table; Perform a third sorting and numbering process according to the preset sequence number compilation rule and the completion efficiency score to obtain the task completion efficiency sorting table; A fourth sorting and numbering process is performed according to the preset serial number compilation rule and the completion quality score to obtain the task completion quality sorting table.
6. The method for selecting and recommending personnel for handling property tasks according to claim 1, characterized in that: The property management system also includes a plurality of management terminals connected to the property platform in communication; the processing personnel selection recommendation information includes: a plurality of personnel recommendation lists corresponding to a plurality of different task type identifiers; After generating the processing personnel selection recommendation information according to the task type identifier and the target recommendation object, the method further includes: Determining a plurality of personnel recommendation lists corresponding to a plurality of different task type identifiers from the processing personnel selection recommendation information; Pushing the corresponding personnel recommendation list to the dispatching interface of the corresponding management terminal according to the task type identifier, and displaying the personnel recommendation list; In response to the processor selection instruction issued by the management terminal, the personnel recommendation list and the target selected object to be operated are determined, the task processing record information of the target selected object is updated, and the updated task processing record information is obtained; Highlight the target selected object in the remaining personnel recommendation list, and record the number of times the target selected object is selected in real time; When the number of selections reaches a first preset number threshold, all of the personnel recommendation lists are updated according to the updated task processing record information.
7. The method for selecting and recommending personnel for handling property tasks according to claim 6, characterized in that: The method further comprises: In a preset selection cycle, when the number of times the same target selected object is selected reaches a second preset number threshold, in the personnel recommendation list including the target selected object, the target selected object is configured as a prohibited object; When the prohibited object is selected, a prohibited warning is issued.
8. A device for recommending personnel selection, characterized in that: It includes at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for recommending the selection of handlers for property tasks as described in any one of claims 1 to 7.
9. An electronic device, characterized in that: It comprises the personnel selection and recommendation device as claimed in claim 8.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the method for selecting and recommending personnel to handle property tasks as described in any one of claims 1 to 7.