CN111709659A

CN111709659A - Intelligent scheduling method, device, equipment and storage medium for outworker

Info

Publication number: CN111709659A
Application number: CN202010581204.4A
Authority: CN
Inventors: 张川; 温惠玲; 顾宣; 丁云泽; 方华
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2020-06-23
Filing date: 2020-06-23
Publication date: 2020-09-25

Abstract

The invention relates to big data, and provides an intelligent scheduling method for outworkers, which comprises the following steps: on one hand, effective attendance information is distinguished from the card punching information of the outworkers in a mode of combining an attendance system and a salesman matching model between the salesman and the client, wherein the attendance information generates an early warning thermodynamic diagram for a manager to monitor the geographical position of the outworkers in real time; and on the other hand, the business information of the salesman is trained to obtain a salesman matching model between the salesman and the salesman, and the salesman matching table of the butt-joint client and the salesman can be obtained only by inputting the business information of the current salesman in the attendance information, so that the coordination and early warning work of a manager is assisted. In addition, the invention also relates to a block chain technology, and the attendance information and the service information can be stored in the block chain. Therefore, by optimizing the existing mobile attendance system, a manager can perform more optimal early warning work scheduling in emergency.

Description

Intelligent scheduling method, device, equipment and storage medium for outworker

Technical Field

The invention relates to the field of data analysis, in particular to an intelligent scheduling method, device, equipment and storage medium for outworkers.

Background

With the development of society, the division of the society is more and more detailed, and the number of mobile posts is also increasing, such as insurance agents, sales personnel, business personnel, field accounting, visors and the like, which cover various kinds of work. Generally, the field staff need to run outside all the year round according to the work requirement or the requirement of a service object, and the field staff has the characteristic of variable working time and working place; and the field staff may also face the situations of emergency scheduling or temporary change of service objects, and the like, and have the characteristic of flexible work scheduling. Facing the post characteristics of outworkers, the attendance method of the company for the outworkers is characterized in that the company determines personal card punching and records the card punching places and the like relative to the fixed office attendance method, and with the development of science and technology, the outworkers card punching technology is optimized, so that the method contributes to attendance management of the outworkers.

The existing attendance software for outworkers, such as nailing, small-step outworkers, and fly letter APP, can be used for outdoor card punching by a salesman through a global positioning system and feeding back detailed mobile attendance information to a management terminal, but the mobile attendance software can only see whether the employee punches the card or not, and whether the card punching time and the card punching place are normal or not, can not visually monitor the distribution situation of the outworkers and carry out real-time monitoring on the outworkers, and one of the outworkers can not timely respond to the optimal scheduling arrangement of the employee in case of emergency.

Disclosure of Invention

The invention mainly aims to solve the problem that the existing attendance system has low execution efficiency of the scheduling function.

The invention provides an intelligent scheduling method for outworker staff in a first aspect, which comprises the following steps:

when a work scheduling request of a current operator is detected, acquiring service information of a scheduling service requested by the current operator and current card punching information of the current operator;

determining a corresponding service type according to the service information, inputting the service type into a preset operator matching model for matching, and obtaining an operator grade matched with the service information;

screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade;

calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

according to the current attendance information of each salesman in the initial salesman matching table, removing salesmens which do not accord with preset matching conditions from the initial salesman matching table to obtain a salesman matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

and scheduling and arranging the salesman according to the salesman matching table.

Optionally, before the obtaining the service information of the current salesman requesting the scheduling service and the current attendance information of the current salesman, the method further includes:

acquiring historical service information of each candidate operator in a preset candidate operator set;

respectively determining the label set of each candidate salesman and the label set of the historical service information corresponding to each candidate salesman based on the historical service information;

according to the label set of each candidate salesman, grading each candidate salesman, and determining the true grade of each candidate salesman;

classifying the historical service information according to the label set of the historical service information, and determining a corresponding service type;

and when the matching degree of the true grade of the candidate salesman and the service type is greater than a preset matching threshold value, stopping training to obtain a salesman matching model.

Optionally, before the screening out, according to the current attendance information of each salesman in the initial salesman matching table, a salesman who does not meet a preset matching condition from the initial salesman matching table to obtain a salesman matching table, the method further includes:

receiving card punching information uploaded by each salesman client in the candidate salesman set and storing the card punching information in a distributed mode into a message queue corresponding to the first storage space;

obtaining card punching information from the first storage space message queue and carrying out statistics according to set indexes to obtain corresponding statistical results;

and generating corresponding attendance information according to the statistical result and storing the attendance information in a second storage space.

Optionally, the obtaining of the card punching information from the first storage space message queue and performing statistics according to a set index to obtain a corresponding statistical result includes:

obtaining card punching information from the first storage space message queue every other preset period, wherein the card punching information comprises service staff identification information, card punching time information and card punching position information;

initializing the salesman identification information, the card punching time information and the card punching position information to obtain and store initialized salesman identification information, initialized card punching time information and initialized card punching position information;

merging the identification information of the initialized salesman, the initialized card punching time information and the initialized card punching position information according to the preset card punching time node and the preset card punching area distribution to obtain corresponding statistical results, wherein the statistical results comprise a plurality of time partition statistical results and a plurality of area partition statistical results, and are stored in the positions corresponding to the second storage space in the future.

Optionally, after generating and storing corresponding attendance information in the second storage space according to the statistical result, the method further includes:

acquiring the attendance information from the second storage space, wherein the attendance information comprises attendance statistical information and attendance analysis information;

judging whether the attendance analysis information meets preset early warning conditions or not;

if the preset early warning condition is met, determining corresponding first preset early warning prompt information and second preset early warning prompt information according to the type of the preset early warning condition;

sending the first preset early warning prompt information to a salesman client to prompt corresponding salesman to check attendance abnormity, and displaying the second preset early warning prompt information on a management client display screen;

if not, outputting the attendance analysis information as the current attendance information of the business staff;

generating a salesman distribution graph based on the attendance statistical information and displaying the salesman distribution graph on a display screen of the management client;

and performing auxiliary scheduling arrangement of the salesmen according to the salesmen distribution map and the second preset early warning information.

Optionally, the determining whether the attendance analysis information meets a preset early warning condition includes:

based on the salesman identification information in the attendance analysis information, traversing a local storage space, and judging whether outdoor work attendance information corresponding to the salesman identification information is stored in the local storage space, wherein the outdoor work attendance information comprises time attendance information and position attendance information, and the attendance analysis information further comprises attendance time information and attendance position information;

if the corresponding attendance report information does not exist, judging that the attendance analysis information meets the preset early warning condition;

if the corresponding outworker attendance information exists, acquiring the corresponding salesman outworker attendance information; judging whether the time corresponding to the attendance time information is within the time corresponding to the time reporting information and judging whether the position corresponding to the attendance position information is within the position range corresponding to the position reporting information;

and if the time corresponding to the attendance time information is not in the time corresponding to the time reporting information or the position corresponding to the attendance position information is not in the position range corresponding to the position reporting information, judging that the attendance analysis information meets the preset early warning condition.

Optionally, the intelligent scheduling method for the outworker further includes:

receiving scheduling information with attendant identification information sent by the management client;

storing the scheduling information to a message queue corresponding to a first storage space;

and based on the salesman identification information, sending the scheduling information to the corresponding salesman client to schedule the corresponding salesman.

The second aspect of the present invention provides an intelligent scheduling device for outworkers, comprising:

the system comprises an acquisition module, a scheduling module and a scheduling module, wherein the acquisition module is used for acquiring service information of a scheduling service requested by a current operator when the work scheduling request of the current operator is detected;

the model calling module is used for determining a corresponding service type according to the service information and inputting the service type into a preset salesman matching model for matching to obtain a salesman grade matched with the service information; screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade; calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

the screening module is used for screening out the salesmen which do not accord with preset matching conditions from the initial salesmen matching table according to the current attendance information of each salesmen in the initial salesmen matching table to obtain a salesmen matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

and the pushing module is used for scheduling and arranging the salesman according to the salesman matching table.

Optionally, the intelligent scheduling apparatus for the outworker further includes a model training module, which is specifically configured to:

Optionally, the intelligent scheduling apparatus for the outworker further includes an attendance generation module, which is specifically configured to:

Optionally, the intelligent scheduling device of the outworker further includes an attendance statistics module, which is specifically configured to:

Optionally, the pushing module is further configured to:

Optionally, the intelligent scheduling apparatus for the outworker further includes a determination module, which is specifically configured to:

Optionally, the intelligent scheduling apparatus for the outworker further includes a worker scheduling module, which is specifically configured to:

A third aspect of the present invention provides an intelligent scheduling apparatus for an outworker, including: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor calls the instructions in the memory to cause the intelligent scheduling device of the field attendant to execute the intelligent scheduling method of the field attendant.

A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the above-mentioned intelligent scheduling method for outworkers.

In the technical scheme provided by the invention, in the embodiment of the invention, effective attendance information is distinguished from the card punching information of the outworkers on the one hand and an early warning thermodynamic diagram is generated on the other hand so that a manager can monitor the geographical positions of the outworkers in real time in a mode of combining the attendance system and the salesman matching model; on the other hand, a proper salesman is connected for each business through the salesman matching model to obtain a salesman matching table, and a manager is assisted to coordinate early warning work, so that the manager can perform more optimal work early warning scheduling under emergency conditions by optimizing the conventional mobile attendance system.

Drawings

FIG. 1 is a diagram of a first embodiment of an intelligent scheduling method for an outworker in the embodiment;

FIG. 2 is a diagram of a second embodiment of the intelligent scheduling method for the outworker in the embodiment;

FIG. 3 is a diagram of a third embodiment of the intelligent scheduling method for the outworker in the embodiment;

FIG. 4 is a fourth exemplary diagram illustrating an exemplary intelligent method for scheduling outworker staff;

FIG. 5 is a schematic diagram of an embodiment of the intelligent scheduling device of the field staff in the embodiment;

FIG. 6 is a schematic diagram of another embodiment of the intelligent scheduling device of the field staff in the embodiment;

FIG. 7 is a schematic diagram of one embodiment of an intelligent dispatch system for an outside service representative in an embodiment;

FIG. 8 is a schematic diagram of an embodiment of the intelligent scheduling device of the field staff in the embodiment.

Detailed Description

The embodiment of the invention provides an intelligent scheduling method, device, equipment and storage medium for outworkers, which are used for distinguishing effective attendance information from the card punching information of the outworkers on one hand by combining an attendance system and a salesman matching model between the salesman and a client, wherein the attendance information generates an early warning thermodynamic diagram for a manager to monitor the geographical position of the outworkers in real time; on the other hand, the business information of the business personnel and the insurance information of the client are trained to obtain a business personnel matching model between the business personnel and the client, the business personnel matching table of the client and the business personnel can be obtained only by inputting the business information of the client in the attendance information, and the manager is assisted to coordinate early warning work, so that the manager can carry out more optimal early warning work scheduling under emergency conditions by optimizing the conventional mobile attendance system.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, an embodiment of the intelligent scheduling method for the outworker in the embodiment of the present invention includes:

101. when a work scheduling request of a current operator is detected, acquiring service information of a scheduling service requested by the current operator;

it is understood that the execution subject of the present invention may be an intelligent scheduling apparatus of an outworker, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.

In the embodiment, when the server receives the work scheduling request of the current salesman, the server indicates that the current salesman makes an emergency, and the attendance information of the insurance salesman, including special conditions such as late arrival, accident, illness and the like, is reported to the manager as the work attendance information through the attendance system; the service information of the current service staff requesting to schedule the service includes personal information of the current customer, insurance purchase information, historical insurance purchase information, appointment time, appointment place and the like, and the attendance information of the service staff includes attendance time, attendance place, attendance working time period and the like of the service staff.

102. Determining a corresponding service type according to the service information, inputting the service type into a preset operator matching model for matching, and obtaining an operator grade matched with the service information;

in the embodiment, a label set of a customer docked by a current salesman and a purchased product is extracted from business information, a business type corresponding to the business information is determined through the label set, and the class of the salesman required by the current salesman is matched by inputting the business type into a preset salesman matching model; for example, the current service information is provided with labels that the gender of a customer is female, the age of 23 years, car insurance purchase, high family income, the number of family insurance purchasers is 1.8 and the like, if the grade of the current service information obtained through the labels is A, and the historical service shows that the grade required by the service staff connected with the customer needs to be between a and b, the service staff with the grade between a and b are preliminarily screened.

103. Screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade;

in this embodiment, a suitable salesman is screened from the salesman classes required by the service information, and a preset salesman matching model shows that the degree of matching between the salesman meeting the class requirement and the service is higher than that between the salesman not meeting the class requirement, so that the salesman not meeting the class requirement is screened out first to reduce the screening workload.

104. Calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

in this embodiment, matching scores of the salesman and the service information are calculated according to the label set of the salesman and the label set of the service information, and an initial salesman matching table is written in a descending order according to the matching scores of the butt-joint client and each salesman and used as an auxiliary tool for helping a manager to schedule and arrange the salesman.

In this embodiment, a plurality of tags in the service information of the service staff are represented by fixed values, for example, a tag value 1 is male, a tag value 2 is female, and a tag set between different clients is formed according to a tag value carried by each client. And then traversing the label sets of different operators aiming at the label set corresponding to each client, judging whether a plurality of labels associated with the label sets are matched, calculating the matching score between the client and the operator according to the matching quantity and the weight of the labels, for example, if the client wants to purchase health insurance, the operator 1 is good at enterprise insurance, the label of the client is not matched with the label corresponding to the operator 1, the score is 0, and the operator 2 is good at health insurance, the label of the client is matched with the label corresponding to the operator 2, if the label is full, and the score weight is 0.5, the score of the client and the operator 2 can be 0.5a on the label.

105. According to the current attendance information of each salesman in the initial salesman matching table, removing salesmens which do not accord with preset matching conditions from the initial salesman matching table to obtain a salesman matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

in this embodiment, for the salesclerk in the initial salesclerk matching table, the salesclerk needs to be further screened according to the objective condition: A. the time matching condition is used for eliminating the salesmen with the service in the time period from the initial salesmen matching table; B. distance matching conditions, namely calculating how long the salesman needs to go to the docking point according to factors such as the distance between the docking point and the position where the salesman is located, the traffic mode, the traffic condition and the like, and if the salesman cannot arrive within preset time, removing the salesman from an initial salesman matching table; C. and (4) determining attendance matching conditions of the salesman, determining the salesman who is on duty within the docking time according to the attendance statistical information, and removing the salesman who is not on duty within the docking time from the output salesman matching table. And eliminating the salesmen which do not accord with the preset matching conditions to obtain a salesmen matching table matched with the butt-joint client. It should be noted that, as long as the operator does not satisfy one of the matching conditions, the operator needs to be removed from the initial operator matching table, that is, the operator in the screened operator matching table needs to satisfy all the matching conditions.

106. And scheduling and arranging the salesman according to the salesman matching table.

In this example, the salesman matching table obtained after screening the salesman matching model and the preset matching conditions can be output to the management client, the manager can visually know the salesman matched with the client and the service, the manager can screen the most appropriate salesman to connect the client according to the salesman matching table, and the completion of the early warning work is optimized, wherein the salesman matching table plays a role in assisting in completing the early warning work. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

In the embodiment of the invention, a label set related to a client is obtained from personal information of the client and a historical purchase record, a label set related to a salesman is obtained from personal information of the salesman and a historical policy-keeping transaction record, and the label sets between the personal information of the salesman and the historical policy-keeping transaction record are matched to generate a salesman matching model; combining the outwork card punching information, in an emergency situation, if a salesman cannot meet the customer due to leave, accidents or other uncontrollable factors, and needs to complement other salesman docking work, only the insurance information of the docking customer needs to be input into the salesman matching model, the salesman matching table of the salesman matched with the docking customer can be generated and output to the management client, and the management personnel are assisted to screen the most appropriate salesman to go to the docking work, so that the relevant early warning work can be processed more optimally.

Referring to fig. 2, a second embodiment of the intelligent scheduling method for the outworker in the embodiment of the present invention includes:

201. acquiring historical service information of each candidate operator in a preset candidate operator set;

in this embodiment, the historical business information of the salesperson includes personal information and transaction information of the salesperson, personal information and transaction information of the docking client, the business information includes sex, age at that time, profession, interests and hobbies, and adept business fields, and the transaction information includes types and numbers of historical transaction insurance products, types of the past docking clients, and the like; the personal information of the butt-joint client comprises the gender, the age at the time, the occupation, the income, the family members and the like of the client, and the transaction information comprises the purchasing intention of the insurance product, the purchasing preference of the insurance product, the stage of the insurance product involved, the tree diagram of the purchasing family of the insurance product and the like. And constructing an employee matching model of the employee and the client according to the personal matching degree and the insurance professional field matching degree of the two.

202. Respectively determining the label set of each candidate salesman and the label set of the historical service information corresponding to each candidate salesman based on the historical service information;

in the embodiment, according to the service information such as sex, age, profession, interests and hobbies, adept service field, type and quantity of historical transaction insurance products, type of the clients in the past butt joint and the like, relevant labels are extracted and assigned with label values to form a label set specific to the service staff; according to the sex, age, occupation, income, family members, the purchasing intention of insurance products, the purchasing preference of the insurance products, the stages of the insurance products involved, the tree diagrams of the purchasing families of the insurance products and other insurance information of the customers, extracting relevant labels and giving label values to form a label set specific to the customers for the training of matching models of subsequent business members.

203. According to the label set of each candidate salesman, grading each candidate salesman, and determining the true grade of each candidate salesman;

204. classifying the historical service information according to the label set of the historical service information, and determining a corresponding service type;

in this embodiment, different label sets of each salesman form different salesman grades, the higher the annual capital of the salesman is, the more the dividend is, the more the transaction service is, the higher the grade is, and different label sets of each customer also form different customer types, that is, different service information types, such as a customer who intends to purchase an insurance product highly, who prefers to increase the value of the insurance product purchase, who can be classified as a high potential customer who has a luxurious tree diagram of the insurance product purchase family, and the type positioning importance of the service information is higher.

205. When the matching degree of the true grade of the candidate salesman and the service type is larger than a preset matching threshold value, stopping training to obtain a salesman matching model;

in this embodiment, the label set of the salesman is identified by the training template, and the matching behavior of the client label set is received to obtain the corresponding service information type, that is, the salesman class and the service information type are used as the input source of the salesman matching model, and the label set corresponding to the salesman class is used as the matched source of the matching template.

In this embodiment, a label set of a client is first input to a corresponding training template for identification, then, a type of a salesman is determined, different types of salesmen bear different label sets, when the training template of the salesmen is matched with the label set of the client, a score is added, otherwise, no score is added, and when model training is performed, supervised model training modes such as a logistic regression model, an SVM, a bayesian model and the like are adopted.

Taking an SVM as an example, a random gradient algorithm can be adopted for model training, a cost function J (theta) is used for the minimum in the gradient descending process, specifically, m is the number of comparison labels, x is an input label value, y is an output fraction, the matching of the two is set to be 1, the mismatching of the two is set to be-1, h (x) represents the actual input fraction of each training, and the matching degree of the two is represented according to the fraction.

In the early warning work scheduling under the subsequent emergency, the matching degree list of the butt-joint client and the salesman can be predicted only by inputting the service information of the butt-joint client, and the manager is assisted to execute the early warning work scheduling, so that a salesman matching model of the client and the salesman is obtained. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

206. When a work scheduling request of a current operator is detected, acquiring service information of a scheduling service requested by the current operator;

207. determining a corresponding service type according to the service information, inputting the service type into a preset operator matching model for matching, and obtaining an operator grade matched with the service information;

208. screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade;

209. calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

210. according to the current attendance information of each salesman in the initial salesman matching table, removing salesmens which do not accord with preset matching conditions from the initial salesman matching table to obtain a salesman matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

211. and scheduling and arranging the salesman according to the salesman matching table.

In the embodiment of the invention, historical business information of a salesman is taken as original data, and a related label set is extracted from insurance information of the salesman; extracting relevant labels from the service information of the salesman and generating a template according to the personal speciality of the salesman and the main business category; the method has the advantages that the label set corresponding to the client is matched with the template corresponding to the salesman to train the salesman matching model, when emergency occurs in subsequent salesman field work and other salesmen need to be handed over, service information can be directly input into the salesman matching model, the salesman matching table of the client can be rapidly output, and managers can select proper salesmen to process related butt joint work according to the salesmen matching table, so that the efficiency of early warning work scheduling is improved.

Referring to fig. 3, a third embodiment of the intelligent scheduling method for the outworker in the embodiment of the present invention includes:

301. receiving card punching information uploaded by each salesman client in the candidate salesman set and storing the card punching information in a distributed mode into a message queue corresponding to the first storage space;

in this embodiment, when each employee works outside, the outside time and place need to be registered first, and after the employee arrives at the designated place at the designated time, the employee signs in through the biological feature recognition by the employee client, so as to ensure that the employee himself/herself makes a card. At the moment, the client of the salesman records the id information, GPS information and time information of employee card punching, stores the information into a preset configuration file according to a preset index sequence and uploads the information to the data center station. And the corresponding information type can be obtained and stored in the corresponding message queue by presetting the index position in the configuration file. The different types of card punching information are specially stored in a first storage space in a multi-message queue format, and the different types of information read from each preset configuration file are marked with the same number in the message queue.

For example, the index positions of id information, GPS information, and time information of each employee are 0, 1, and 2, respectively, the first storage space message queue A, B, C stores the punch card information with index positions of 0, 1, and 2 in the preset configuration file, respectively, the employee id information in the preset configuration file is retrievable by the index value 0 and stored in the message queue a, the GPS information in the preset configuration file is retrievable by the index value 1 and stored in the message queue B, and so on.

302. Obtaining card punching information from the first storage space message queue and carrying out statistics according to set indexes to obtain corresponding statistical results;

in this embodiment, according to the service requirement, different types of card punching information are acquired from the first storage space message queue and are counted, where the service requirement is controlled by a set index, and the business requirement includes counting detailed data separately stored in each type of card punching information, such as counting card punching time according to a time range and a card punching place according to a partition range, or grouping multiple types of card punching information, such as grouping and counting employee id, according to a time range and a card punching place range in a unified format.

303. Generating corresponding attendance information according to the statistical result and storing the attendance information to a second storage space, wherein the attendance information comprises work attendance information;

in this embodiment, based on the statistical result of the card punching information, corresponding attendance information is generated and temporarily stored in the second storage space, so as to be used by the central office at intervals. The storage type of the second storage space information is divided into detail data and statistical data, the detail data refers to the original card punching information acquired from the first storage space, and the statistical data refers to attendance information calculated by the real-time calculating unit. For example, employee id, GPS information, and time information acquired and stored from the message queue a are detail data; if a plurality of partitions are pre-defined in the field of the field location, and the partitions are identified by the id, the attendance information is stored in the formats of the employee id, the partition id and the time of card punching, and the stored attendance information is statistical data. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

304. When a work scheduling request of a current operator is detected, acquiring service information of a scheduling service requested by the current operator;

305. determining a corresponding service type according to the service information, inputting the service type into a preset operator matching model for matching, and obtaining an operator grade matched with the service information;

306. screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade;

307. calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

308. according to the current attendance information of each salesman in the initial salesman matching table, removing salesmens which do not accord with preset matching conditions from the initial salesman matching table to obtain a salesman matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

309. and scheduling and arranging the salesman according to the salesman matching table.

In the embodiment of the invention, the distributed storage of the card punching information is carried out on the card punching information of the outworker, the card punching information can be primarily shunted, and preparation is also made for the subsequent real-time calculation unit to carry out rapid statistics and calculation on the card punching information, so that the timeliness of processing the card punching information of the outworker is kept, and when an emergency occurs, a manager can timely obtain feedback through a console, and can more quickly respond to the scheduling of early warning work.

Referring to fig. 4, a fourth embodiment of the intelligent scheduling method for the outworker in the embodiment of the present invention includes:

401. receiving card punching information uploaded by each salesman client in the candidate salesman set and storing the card punching information in a distributed mode into a message queue corresponding to the first storage space;

402. obtaining card punching information from the first storage space message queue and carrying out statistics according to set indexes to obtain corresponding statistical results;

403. generating corresponding attendance information according to the statistical result and storing the attendance information to a second storage space, wherein the attendance information comprises work attendance information;

404. acquiring the attendance information from the second storage space, wherein the attendance information comprises attendance statistical information and attendance analysis information;

in this embodiment, the second storage space temporarily stores attendance information of each employee, and the data center acquires early warning analysis information of all employees in the second storage space based on a preset period to perform early warning analysis, so as to perform corresponding intelligent early warning scheduling. And the attendance information stored in the second storage space shows that the employee punches the card at a certain coordinate position at a certain time, and whether the employee punches the card abnormally is judged according to the employee id information, the GPS information and the time information in the attendance information.

405. Judging whether the attendance analysis information meets preset early warning conditions or not;

in this embodiment, when the staff performs the attendance registration, the recorded attendance time and the attendance location are stored in the local storage, and the preset warning condition includes: the employee card-punching coordinate is not consistent with the registration place; the employee checks the card after the registration time; and (4) checking the card by the unregistered staff for field attendance.

In this embodiment, the mobile attendance system has an intelligent early warning function, and when the early warning analysis information meets the preset early warning condition, the intelligent early warning function is automatically started to perform corresponding early warning scheduling work. Firstly, according to the preset early warning condition type matched with the attendance checking information, determining corresponding first preset early warning prompt information and second preset early warning prompt information. Such as: when the early warning analysis information corresponding to employee a meets preset early warning condition 1, the first preset early warning prompt information may be: "your position of punching a card deviates from the track", the second preset early warning prompt information can be: "employee A clicks the position and deviates from the orbit, please make the early warning dispatch work"; when the early warning analysis information corresponding to the employee B meets the preset early warning condition 2, the first preset early warning prompt information may be "if you punch the card overtime, and if you add the card", and the second preset attendance information is: "employee B please make early warning dispatch work if the card is overtime"; when the early warning analysis information corresponding to the employee C meets the preset early warning condition 3, the first preset attendance information may be: "you have not reported the attendance information yet, please click to report the attendance work", the second preset attendance information may be: "employee C has not reported any attendance information and should contact employee C to ask for details".

406. If the preset early warning condition is met, determining corresponding first preset early warning prompt information and second preset early warning prompt information according to the type of the preset early warning condition;

407. sending the first preset early warning prompt information to a salesman client to prompt corresponding salesman to check attendance abnormity, and displaying the second preset early warning prompt information on a management client display screen;

408. if not, outputting the attendance analysis information as the current attendance information of the business staff;

in this embodiment, after determining the preset early warning condition type that the early warning analysis information conforms to, sending the corresponding first preset attendance information to the serviceman client and sending the second preset attendance information to the management client: for the preset early warning condition 1, the distance between the staff and the field attendance registration place needs to be displayed on the interface, the staff can navigate to the field attendance registration place by clicking an interface early warning button such as a route navigation button, or a work handing-over button is used for selecting and submitting a work handing-over object, and a manager can inquire the staff about abnormal conditions of a card-punching place by clicking the interface early warning button such as contacting the staff and arrange related early warning work; corresponding to the preset early warning condition 2, card punching overtime time is displayed on an interface, the card punching overtime is the card punching time-field attendance registration time, a salesman can inform a manager that the manager successfully meets the customer by clicking an early warning button of the interface, such as a 'meeting smoothness', and the manager can inquire whether the employee successfully meets the customer by clicking an interface early warning button, such as a 'contact staff' button; for the preset early warning condition 3, an early warning button such as a 'hand-over work' button is also required to be displayed at the salesman client for the employee to select and replace which employee to go out for outwork, and an early warning button such as a 'contact employee' button is also displayed at the management client for inquiring whether the employee replaces which employee to go out for outwork.

409. Generating a salesman distribution graph based on the attendance statistical information and displaying the salesman distribution graph on a display screen of the management client;

in this embodiment, a pixel map is created by canvas, when the front end of the management client receives the early warning statistical information data packet, the relative coordinates in the stored data are converted into pixel coordinates and filled into the pixel map, and the preset map interface is rendered by filling the gradient colors according to the data amount of each area range to generate the early warning thermodynamic diagram.

410. Performing auxiliary scheduling arrangement of the salesman according to the salesman distribution map and the second preset early warning information;

in this embodiment, the administrator may monitor the distribution information of the serviceman in real time through the early warning thermodynamic diagram, and when an emergency corresponding to the second early warning information occurs, the administrator may quickly respond and schedule the serviceman through the early warning thermodynamic diagram. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

In the embodiment of the invention, different types of card punching information uploaded by a client of a salesman are received by a distributed data storage system, and the different types of card punching information correspond to different message queues; in each preset period, corresponding card punching information is obtained from different message queues, and calculation analysis is carried out on the card punching information through a big data real-time calculation module to obtain and store corresponding attendance information; on one hand, whether the attendance information meets preset early warning conditions or not is judged, and corresponding early warning work scheduling is carried out, on the other hand, the attendance information is packaged to the front end to be used for the front end to generate an early warning thermodynamic diagram, and a background manager carries out early warning work scheduling according to the early warning thermodynamic diagram, so that the method for optimizing the attendance system of the existing outworkers in intelligent early warning work scheduling is optimized.

With reference to fig. 5, the above describes an intelligent scheduling method for an outworker in an embodiment of the present invention, and an embodiment of the intelligent scheduling apparatus for an outworker in an embodiment of the present invention includes:

an obtaining module 501, configured to obtain service information of a current salesman requesting a scheduling service when a work scheduling request of the current salesman is detected;

the model calling module 502 is used for determining a corresponding service type according to the service information, inputting the service type into a preset salesman matching model for matching, and obtaining a salesman grade matched with the service information; screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade; calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

a screening module 503, configured to screen out, according to current attendance information of each salesman in the initial salesman matching table, a salesman who does not meet a preset matching condition from the initial salesman matching table to obtain a salesman matching table, where the preset matching condition includes a time matching condition, a distance matching condition, and/or an attendance matching condition;

and the pushing module 504 is configured to schedule the salesman according to the salesman matching table.

It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

Referring to fig. 6, another embodiment of the intelligent scheduling apparatus for the outworker in the embodiment of the present invention includes:

an obtaining module 601, configured to obtain service information of a current salesman requesting a scheduling service when a work scheduling request of the current salesman is detected;

the model calling module 602 is configured to determine a corresponding service type according to the service information, and input the service type into a preset salesman matching model for matching, so as to obtain a salesman level matched with the service information; screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade; calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table;

a screening module 603, configured to screen out, according to current attendance information of each salesman in the initial salesman matching table, a salesman who does not meet a preset matching condition from the initial salesman matching table to obtain a salesman matching table, where the preset matching condition includes a time matching condition, a distance matching condition, and/or an attendance matching condition;

and a pushing module 604, configured to perform scheduling arrangement of the salesman according to the salesman matching table.

Specifically, the intelligent scheduling apparatus for the outworker further includes a model training module 605, where the model training module includes:

a training sample obtaining unit 6051, configured to obtain historical service information of each candidate operator in a preset candidate operator set; respectively determining the label set of each candidate salesman and the label set of the historical service information corresponding to each candidate salesman based on the historical service information;

a training sample classification unit 6052, configured to classify the candidate clerks according to the label sets of the candidate clerks, and determine a true grade of each candidate clerk; classifying the historical service information according to the label set of the historical service information, and determining a corresponding service type;

and the model training unit 6053 is configured to stop training to obtain an operator matching model when the matching degree between the candidate operator real level and the service type is greater than a preset matching threshold.

Specifically, the intelligent scheduling apparatus for the outworker further includes an attendance generation module 606, which is specifically configured to:

Specifically, the intelligent scheduling device for the outworker further includes an attendance statistics module 607, which is specifically configured to:

Specifically, the pushing module 604 further includes:

an early warning information obtaining unit 6041, configured to obtain the attendance information from the second storage space, where the attendance information includes attendance statistics information and attendance analysis information;

an early warning condition judgment unit 6042 configured to judge whether the attendance analysis information meets a preset early warning condition;

the early warning unit 6043 is configured to determine, if the preset early warning condition is met, corresponding first preset early warning prompt information and second preset early warning prompt information according to the type of the preset early warning condition; sending the first preset early warning prompt information to a salesman client to prompt corresponding salesman to check attendance abnormity, and displaying the second preset early warning prompt information on a management client display screen; outputting the attendance analysis information as the current attendance information of the salesman;

the auxiliary scheduling unit 6044 is used for generating an employee distribution map based on the attendance statistical information and displaying the employee distribution map on the management client display screen; and performing auxiliary scheduling arrangement of the salesmen according to the salesmen distribution map and the second preset early warning information.

Specifically, the intelligent scheduling apparatus for the outworker further includes a determination module 608, which is configured to:

Specifically, the intelligent scheduling apparatus for the outworker further includes a worker scheduling module 609, configured to:

In the embodiment of the invention, effective attendance information is distinguished from the card punching information of the outworkers on one hand by combining an attendance system and a salesman matching model between the salesman and the client, wherein the attendance information generates an early warning thermodynamic diagram for a manager to monitor the geographical position of the outworkers in real time; on the other hand, the business information of the business personnel and the insurance information of the client are trained to obtain a business personnel matching model between the business personnel and the client, the business personnel matching table of the client and the business personnel can be obtained only by inputting the business information of the client in the attendance information, and the manager is assisted to coordinate early warning work, so that the manager can carry out more optimal early warning work scheduling under emergency conditions by optimizing the conventional mobile attendance system.

Referring to fig. 7, in an embodiment of the intelligent scheduling system for the outworker in the embodiment of the present invention, the system includes a terminal app701 and an intelligent scheduling apparatus for the outworker, and the scheduling apparatus includes a data center station 702 and a visual command platform 703, where the data center station 702 and the visual command platform 703 are physically combined or separated; the data center 702 and the visualization command platform 703 are specifically configured to:

the data center 702 is configured to, when a work scheduling request of a current salesman is detected, obtain service information of a scheduling service requested by the current salesman; determining a corresponding service type according to the service information, inputting the service type into a preset operator matching model for matching, and obtaining an operator grade matched with the service information; screening a plurality of salesmen matched with the service information from a preset candidate salesmen set based on the salesmen grade; calculating matching scores of the plurality of salesmens and the business information based on the real grades of the plurality of salesmens, and sequencing the plurality of salesmens to obtain an initial salesmen matching table; according to the current attendance information of each salesman in the initial salesman matching table, removing salesmens which do not accord with preset matching conditions from the initial salesman matching table to obtain a salesman matching table, wherein the preset matching conditions comprise time matching conditions, distance matching conditions and/or attendance matching conditions;

and the visual command platform 703 is used for scheduling the salesman according to the salesman matching table. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

The above figure describes in detail the intelligent scheduling apparatus of the outworker and the intelligent scheduling system of the outworker in the embodiment of the present invention from the perspective of the modular functional entity, and the following describes in detail the intelligent scheduling device of the outworker in the embodiment of the present invention from the perspective of hardware processing.

Fig. 8 is a schematic structural diagram of an intelligent scheduling apparatus for a field clerk according to an embodiment of the present invention, where the intelligent scheduling apparatus 800 for a field clerk may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 810 (e.g., one or more processors) and a memory 820, and one or more storage media 830 (e.g., one or more mass storage devices) storing an application 833 or data 832. Memory 820 and storage medium 830 may be, among other things, transient or persistent storage. The program stored in the storage medium 830 may include one or more modules (not shown), each of which may include a series of instruction operations for the intelligent scheduling apparatus 800 of the field attendant. Still further, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the intelligent scheduling device 800 of the outworker.

The intelligent dispatch device 800 for the outworker may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input-output interfaces 860, and/or one or more operating systems 831, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the configuration of the intelligent scheduler facility of the field attendant illustrated in fig. 8 does not constitute a limitation of the intelligent scheduler facility of the field attendant and may include more or fewer components than illustrated, or some components in combination, or a different arrangement of components.

Further, the computer usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like. It should be emphasized that, in order to further ensure the privacy and security of the service information and the attendance information, the service information and the attendance information may also be stored in a node of a block chain.

The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and which may also be a volatile computer readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the intelligent scheduling method for outworkers.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An intelligent scheduling method for an outworker is characterized in that the intelligent scheduling method for the outworker comprises the following steps:

when a work scheduling request of a current operator is detected, acquiring service information of a scheduling service requested by the current operator;

2. The intelligent scheduling method of the field attendant of claim 1, wherein before the obtaining the service information of the scheduling service requested by the current attendant and the current attendance information of the current attendant, further comprising:

inputting the real grade of each candidate operator and the service type of the historical service information corresponding to each candidate operator into a preset training model so as to train the matching relationship between the real grade and the service type of the candidate operator;

3. The intelligent scheduling method of field staff as claimed in claim 1, wherein before the step of screening out the staff who does not meet the preset matching condition from the initial staff matching table according to the current attendance information of each staff in the initial staff matching table to obtain the staff matching table, the method further comprises:

4. The intelligent scheduling method of field attendants according to claim 3, wherein said obtaining card-punching information from said first storage space message queue and making statistics according to set criteria to obtain corresponding statistical results comprises:

5. The intelligent scheduling method for field attendants according to claim 3, wherein after generating and storing the corresponding attendance information to the second storage space according to the statistical result, further comprising:

sending the first preset early warning prompt information to a salesman client to prompt the attendance abnormity of the corresponding salesman, and displaying the second preset early warning prompt information on a display screen of a management client to prompt the attendance abnormity of the corresponding salesman;

6. The intelligent scheduling method of the field clerk according to claim 5, wherein the judging whether the attendance analysis information meets preset early warning conditions comprises:

traversing a local storage space based on the salesman identification information in the attendance analysis information;

judging whether the local storage space stores outwork attendance information corresponding to the salesman identification information, wherein the outwork attendance information comprises time attendance information and position attendance information, and the attendance analysis information further comprises attendance time information and attendance position information;

7. The intelligent scheduling method of field attendants according to any of claims 1-6, characterised in that it further comprises:

8. An intelligent scheduling device for an outworker, the intelligent scheduling device for the outworker comprising:

9. An intelligent scheduling apparatus for a field attendant, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;

the at least one processor invoking the instructions in the memory to cause the intelligent scheduling apparatus of the outworker to perform the intelligent scheduling method of the outworker according to any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the intelligent scheduling method of field attendants according to any one of claims 1 to 7.