CN113269417B - Intelligent dispatching method and device for biological sample collection personnel - Google Patents
Intelligent dispatching method and device for biological sample collection personnel Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063116—Schedule adjustment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063118—Staff planning in a project environment
Abstract
The embodiment of the invention provides an intelligent dispatching method and device for biological sample collection personnel, wherein the method comprises the following steps: the method comprises the steps that sample information requirements of an information input system are divided into sample acquisition requirements and information input requirements, and input data corresponding to the sample acquisition requirements and the information input requirements are respectively acquired; obtaining the demand completion efficiency through input data, inputting the input data into an acquisition model, and adjusting the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand; the acquisition model outputs a corresponding relation between the average waste time and the number of acquired people; substituting the input data into the relational expression to obtain the number of the collection personnel, obtaining a corresponding collection personnel distribution scheme according to the number of the collection personnel, and outputting the distribution scheme. By adopting the method, the number of the acquisition personnel can be determined, the number relation between the acquisition data and the information input of the acquisition personnel can be balanced, the time waste of the acquisition personnel is minimized, and the working efficiency of the acquisition personnel is improved.
Description
Technical Field
The invention relates to the technical field of data acquisition, in particular to an intelligent dispatching method and device for biological sample acquisition personnel.
Background
Under normal conditions, data information sampling is needed to be carried out on the plateau soldiers at intervals, the sampled information comprises physical quality information of the soldiers or personal information, so that normal training tasks of the soldiers are not affected, meanwhile, adverse reactions can occur to the acquisition personnel on the plateau, and in order to avoid the occurrence of the conditions, the information acquisition work is required to be fast, accurate, safe and efficient.
However, the collection efficiency at the present stage is not high, and the information cannot be quickly collected into the information warehouse, and the collection personnel distribution problem in the prior art may cause excessive or insufficient distribution of the collection personnel, and uneven distribution of personnel between the collection data and the information collection personnel may cause queuing waiting, idle time exists, and time waste exists between the collection personnel.
Disclosure of Invention
Aiming at the problems existing in the prior art, the embodiment of the invention provides an intelligent dispatching method and device for biological sample collection personnel.
The embodiment of the invention provides an intelligent dispatching method for biological sample collection personnel, which comprises the following steps:
logging in an information input system, and obtaining sample information requirements of the information input system;
dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time of single person completion requirements corresponding to the sample acquisition requirements and the information input requirements as input data of an acquisition model;
the corresponding demand completion efficiency is obtained through calculation of the time consumption of the single person for completing the demand and the number of nodes corresponding to the demand, the input data is input into the acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted;
when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people;
substituting the parameter values corresponding to the input data into the relational expression, minimizing the time waste of people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed in different requirements.
In one embodiment, the method further comprises:
acquiring a preset distribution principle, and determining a corresponding personnel distribution relation according to the distribution principle, wherein the personnel distribution relation is a relation between the collection personnel corresponding to the sample collection requirement and the information input requirement and the collection personnel number;
acquiring acquisition personnel corresponding to the sample acquisition requirement and the information input requirement according to the number of the acquisition personnel and the personnel allocation relation, and acquiring the acquisition personnel allocation scheme according to the acquisition personnel corresponding to the sample acquisition requirement and the information input requirement.
In one embodiment, the person assignment relation includes:
wherein N is the number of the collection personnel, N C Collecting personnel corresponding to sample collecting requirements, n C For the number of nodes corresponding to the sample acquisition requirement, n L For the number of nodes corresponding to information input requirements, t C Time consuming, t, for single person completion requirement corresponding to sample acquisition requirement L The time for completing the requirement for the single person corresponding to the information input requirement is consumed.
In one embodiment, the method further comprises:
the acquisition model determines a corresponding calculation relational expression of queuing time and in-place time according to the comparison relation;
and according to the input data, combining the calculation relation of the queuing time and the in-place time, and outputting the relation of the corresponding people waste time and the number of the acquisition personnel by the acquisition model when different comparison relations are calculated.
In one embodiment, the comparison relationship includes:
the requirement completion efficiency of the sample acquisition requirement is equal to the requirement completion efficiency of the information input requirement;
or the requirement completion efficiency of the sample acquisition requirement is greater than the requirement completion efficiency of the information input requirement;
or, the requirement completion efficiency of the sample acquisition requirement is smaller than the requirement completion efficiency of the information input requirement.
In one embodiment, the method further comprises:
and determining a corresponding distribution scheme set according to the number of the collection personnel, and determining the distribution scheme of the collection personnel according to the boundary value of the distribution scheme set when the relation between the average person waste time and the number of the collection personnel is detected to be a monotonic expression.
The embodiment of the invention provides an intelligent dispatching device for biological sample collection personnel, which comprises the following components:
the login module is used for logging in the information input system and obtaining sample information requirements of the information input system;
the acquisition module is used for dividing the sample information requirement into a sample acquisition requirement and an information input requirement, and respectively acquiring the time consumption of single person completion requirement corresponding to the sample acquisition requirement and the information input requirement, the number of nodes corresponding to the requirement and the idle time, and taking the time consumption as input data of an acquisition model;
the input module is used for calculating corresponding demand completion efficiency through the time consumption of the single person completing the demand and the number of nodes corresponding to the demand, inputting the input data into the acquisition model, and adjusting the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand;
the output module is used for outputting a corresponding relation between the average waste time of people and the number of acquired people by the acquisition model when the comparison relations are different;
and the calculation module is used for substituting the parameter values corresponding to the input data into the relational expression, minimizing the time waste of people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed according to different requirements.
In one embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring a preset distribution principle, and determining a corresponding personnel distribution relation according to the distribution principle, wherein the personnel distribution relation is a relation between the collection personnel corresponding to the sample collection requirement and the information input requirement and the collection personnel number;
the personnel distribution module is used for obtaining the collection personnel corresponding to the sample collection requirement and the information input requirement according to the number of the collection personnel and the personnel distribution relation, and obtaining the collection personnel distribution scheme according to the collection personnel corresponding to the sample collection requirement and the information input requirement.
The embodiment of the invention provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the intelligent scheduling method for biological sample collection personnel when executing the program.
The embodiment of the invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the intelligent scheduling method for biological sample collection personnel.
The intelligent dispatching method and the intelligent dispatching device for the biological sample collection personnel are used for logging in an information input system and obtaining sample information requirements of the information input system; dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time for a single person corresponding to the sample acquisition requirements and the information input requirements to finish the requirements, and taking the time consumption, the number of nodes corresponding to the requirements and the idle time as input data of an acquisition model; the corresponding demand completion efficiency is obtained through calculation of the time consumption of completing the demand by a single person and the number of nodes corresponding to the demand, input data are input into an acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted; when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people; substituting the parameter values corresponding to the input data into the relational expression, minimizing the time wasted by people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed according to different requirements. Therefore, the number of the collection personnel can be determined, the number relation between the collection data and the information input of the collection personnel can be balanced, the time waste of the collection personnel is minimized, and the working efficiency of the collection personnel is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for intelligent scheduling of biological sample collection personnel in an embodiment of the invention;
FIG. 2 is a block diagram of an intelligent scheduler for biological sample collectors in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flow chart of a method for transferring a customized furniture informationized management information flow according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides a method for transferring a customized furniture informationized management information flow, including:
step S101, logging in an information input system, and obtaining sample information requirements of the information input system.
Specifically, the information recording system is a system corresponding to sample library management software, and sample information requirements of the information recording system are acquired, wherein the sample information requirements comprise the number of sampling data, the type of the sampling data, the unit time consumption of the sampling data and the like.
Step S102, dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption of single person completion requirements corresponding to the sample acquisition requirements and the information input requirements, the number of nodes corresponding to the requirements and idle time, wherein the time consumption, the number of nodes corresponding to the requirements and the idle time are used as input data of an acquisition model.
Specifically, the sample information requirement is divided into a sample acquisition requirement and an information input requirement, and according to the two requirements, the corresponding time consumption of a single person to finish the acquisition of sample data (such as the time length required by the single person to finish the acquisition of the sample data) can be respectively acquired, the number of nodes corresponding to the requirement (the number of sample acquisition nodes and information input nodes) is equal to the idle time (such as the time waste caused by the total scheduling of acquisition personnel corresponding to the sample acquisition requirement, personnel transfer and the like).
Step S103, calculating to obtain corresponding demand completion efficiency through the time consumption of the single person to complete the demand and the number of nodes corresponding to the demand, inputting the input data into the collection model, and adjusting the comparison relation of the demand completion efficiency between the sample collection demand and the information input demand.
Specifically, the corresponding demand completion efficiency is obtained by calculation according to the time consumption of completing the demand by a single person and the number of nodes corresponding to the demand, the demand completion efficiency corresponding to the completion demand can be obtained by comparing the time consumption of completing the demand by a single person with the number of nodes corresponding to the demand, after input data are input into an acquisition model, the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand can be adjusted, wherein the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand can comprise three conditions, and the demand completion efficiency of the sample acquisition demand is equal to the demand completion efficiency of the information input demand; the demand completion efficiency of the sample acquisition demand is greater than the demand completion efficiency of the information input demand; the demand completion efficiency of the sample acquisition demand is less than the demand completion efficiency of the information entry demand.
Step S104, when the comparison relations are different, the collection model outputs a corresponding relation between the average waste time of people and the number of collection people.
Specifically, when the comparison relation between the demand completion efficiency of the sample collection demand and the information input demand is different, the collection model determines different demand-oriented objects according to the different comparison relation, for example, when the demand completion efficiency of the sample collection demand is greater than the demand completion efficiency of the information input demand, it can be determined that the sample collection point will end the work first time, the final time spent on the work is based on the end time corresponding to the information input demand,
in addition, the acquisition model determines a corresponding calculation relational expression of queuing time and in-place time according to the comparison relation; according to the input data, the queuing time and the on-site time are combined to calculate the relational expression, and when different comparison relations are calculated, the acquisition model outputs the relational expression of the corresponding people waste time and the number of acquisition people.
Specifically, when comparing file relationships among the three, the process of calculating the relationship between the average waste time and the number of collected people comprises the following steps:
first, let the number of sample collection points beThe time required for single person acquisition is +.>The method comprises the steps of carrying out a first treatment on the surface of the Let the number of information input points be->The time required for single person to record is +.>The number of collection personnel in each batch is +.>Of them->The individual goes to the sample collection site, the rest ∈ ->Individuals go to the information entry point and at that point self-rank to the least populated queue, i.e., evenly distributed at that point. After the content of one point is finished, the people to be collected immediately go to the other point to queue, and leave after finishing. The time spent by each person to be collected at two points is fixed, special cases are not considered, and the transfer process time is not considered.
Recording the idle total time of each batch of sample collection points asThe idle total time of each batch of information input points is +.>Queuing total time of personnel waiting for acquisition in each batch is +.>. Dividing the sum of the three by the total number of staff and the people to be collected, namely, wasting time for the staff>。
Secondly, after the personnel to be collected arrives, firstly, the personnel to be collected needs to be distributedAnd->The principle of distribution is that two points (nodes corresponding to sample acquisition requirements and information input requirements) simultaneously finish the content of the first batch of people in the past, namely:
theoretically:
we solve the following three cases. In addition, due to the assumption thatFar greater than +.>And->Therefore, the situation that only part of the queues of the sample acquisition points or the information input points are queued is not considered in the ending stage, so that the calculation is simplified. And assume +.>Is even.
(1) When the demand completion efficiency of the sample acquisition demand is equal to the demand completion efficiency of the information entry demand, i.e.In the time-course of which the first and second contact surfaces,
in this case, the efficiency of the two points is the same, they can complete the content of the first batch of people to be collected in the same time, and then complete the transfer of the content of the second batch of people to be collected in the past in the same time. Thus is provided with. At this time, a->And->Are all 0, need to calculate +.>。
We assume that all people to be collected leave after the contents of two points are completed, so we use the total time of stay of the people to be collected minus the total time of in-place of the people to be collected as the total queuing time of the people to be collected. Wherein the total in-place time is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the The total residence time was:
then。
(3) When the demand completion efficiency of the sample acquisition demand is greater than the demand completion efficiency of the information entry demand, namelyIn the time-course of which the first and second contact surfaces,
in contrast to the last case, the efficiency of the sample collection point is higher than the information entry point, so the sample collection point will end the batch of work first. The time that this batch eventually takes is based on the end time of the information entry point:the method comprises the steps of carrying out a first treatment on the surface of the While the sample collection point costsThe time is as follows: />. The information entry point has no idle time: />The method comprises the steps of carrying out a first treatment on the surface of the The idle time of the sample collection point is: />. The total time in place is identical to the total time in stay and the calculation formula of the former case.
Then。
Step 105, substituting the parameter values corresponding to the input data into the relation, minimizing the waste time of people, obtaining the corresponding number of collection personnel, obtaining the corresponding collection personnel distribution scheme according to the number of collection personnel, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed in different requirements.
Specifically, the parameter values corresponding to the input data are substituted into the relational expression of the average waste time, the average waste time is minimized, the data of the number of the collection personnel corresponding to the most time-saving and most efficient condition is obtained, the number of the collection personnel refers to the total number of the collection personnel of the sample collection requirement and the information input requirement sent out by the current batch, then the corresponding collection personnel distribution scheme is obtained according to the number of the collection personnel, namely the number of the personnel corresponding to the sample collection requirement and the information input requirement, and the corresponding collection personnel distribution scheme is output when the comparison relation of the efficiency is completed under different requirements.
In addition, a corresponding distribution scheme of the collection personnel is obtained according to the number of the collection personnel, a preset distribution principle can be obtained, a corresponding personnel distribution relation is determined according to the distribution principle, and the preset distribution principle is that two points (corresponding nodes of sample collection requirements and information input requirements) simultaneously complete the content of the first batch of people in the past, namely:
theoretically:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of the collection personnel in each batch, the distribution number of the collection personnel with the sample collection requirement and the information input requirement can be obtained according to the above description, and the personnel distribution scheme is obtained according to the distribution number.
According to the intelligent scheduling method for the biological sample collection personnel, which is provided by the embodiment of the invention, an information input system is logged in, and the sample information requirement of the information input system is acquired; dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time for a single person corresponding to the sample acquisition requirements and the information input requirements to finish the requirements, and taking the time consumption, the number of nodes corresponding to the requirements and the idle time as input data of an acquisition model; the corresponding demand completion efficiency is obtained through calculation of the time consumption of completing the demand by a single person and the number of nodes corresponding to the demand, input data are input into an acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted; when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people; substituting the parameter values corresponding to the input data into the relational expression of the average waste time of people, minimizing the average waste time of people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed in different requirements. Therefore, the number of the collection personnel can be determined, the number relation between the collection data and the information input of the collection personnel can be balanced, the time waste of the collection personnel is minimized, and the working efficiency of the collection personnel is improved.
On the basis of the above embodiment, the intelligent scheduling method for biological sample collection personnel further includes:
and determining a corresponding distribution scheme set according to the number of the collection personnel, and determining the distribution scheme of the collection personnel according to the boundary value of the distribution scheme set when the relation between the average person waste time and the number of the collection personnel is detected to be a monotonic expression.
In the embodiment of the invention, the corresponding distribution scheme set is determined according to the number of the collection personnel, for example, when the collection personnel is 100, the corresponding distribution scheme set may be: the number distribution set of the sample collection requirement and the information input requirement is [0, 100], and when the relation between the average waste time of the detected people and the number of the collected people is a monotonic expression, the situation that only the collected people need to be distributed unidirectionally at the moment is described, for example, when the number of the collected people corresponding to the information input requirement is more, the average waste time of the people is shorter, the number of the people corresponding to the information input requirement is distributed by the boundary value 100 of the distribution scheme set, and the number of the people corresponding to the sample collection requirement is distributed by the boundary value 0 of the distribution scheme set.
According to the embodiment of the invention, the distribution scheme of the collection personnel in the monotonic expression is determined through the boundary value of the distribution scheme set, so that the distribution efficiency of the collection personnel under special conditions (monotonic expression) is improved.
Fig. 2 is a schematic diagram of an intelligent dispatching device for biological sample collection personnel, which includes: a login module S201, an acquisition module S202, an input module S203, an output module S204, and a calculation module S205, wherein:
the login module S201 is used for logging in the information input system and obtaining sample information requirements of the information input system.
The acquisition module S202 is used for dividing the sample information requirement into a sample acquisition requirement and an information input requirement, and respectively acquiring the time consumption of single person completion requirement corresponding to the sample acquisition requirement and the information input requirement, the node number corresponding to the requirement and the idle time, and the node number and the idle time are used as input data of an acquisition model.
And the input module S203 is used for calculating the corresponding demand completion efficiency through the time consumption of the single person to complete the demand and the number of nodes corresponding to the demand, inputting the input data into the acquisition model, and adjusting the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand.
And the output module S204 is used for outputting a corresponding relation between the average waste time of the people and the number of the acquired people by the acquisition model when the comparison relations are different.
And the calculation module S205 is used for substituting the parameter values corresponding to the input data into the relational expression, minimizing the average waste time of people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed according to different requirements.
In one embodiment, the apparatus may further include:
the second acquisition module is used for acquiring a preset distribution principle, and determining a corresponding personnel distribution relation according to the distribution principle, wherein the personnel distribution relation is a relation between the collection personnel corresponding to the sample collection requirement and the information input requirement and the collection personnel number.
The personnel distribution module is used for obtaining the collection personnel corresponding to the sample collection requirement and the information input requirement according to the number of the collection personnel and the personnel distribution relation, and obtaining the collection personnel distribution scheme according to the collection personnel corresponding to the sample collection requirement and the information input requirement.
In one embodiment, the apparatus may further include:
the detection module is used for determining a corresponding distribution scheme set according to the number of the collection personnel, and determining the distribution scheme of the collection personnel according to the boundary value of the distribution scheme set when the relation between the average waste time of the personnel and the number of the collection personnel is detected to be a monotonic expression.
For specific limitations on the intelligent biological sample collector scheduling apparatus, reference may be made to the above limitation on the intelligent biological sample collector scheduling method, and no further description is given here. The modules in the intelligent scheduling device for the biological sample collection personnel can be all or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Fig. 3 illustrates a physical schematic diagram of an electronic device, as shown in fig. 3, where the electronic device may include: a processor (processor) 301, a memory (memory) 302, a communication interface (Communications Interface) 303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication interface 303 perform communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: logging in an information input system, and acquiring sample information requirements of the information input system; dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time for a single person corresponding to the sample acquisition requirements and the information input requirements to finish the requirements, and taking the time consumption, the number of nodes corresponding to the requirements and the idle time as input data of an acquisition model; the corresponding demand completion efficiency is obtained through calculation of the time consumption of completing the demand by a single person and the number of nodes corresponding to the demand, input data are input into an acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted; when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people; substituting the parameter values corresponding to the input data into the relational expression, minimizing the time wasted by people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed according to different requirements.
Further, the logic instructions in memory 302 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the transmission method provided in the above embodiments, for example, including: logging in an information input system, and acquiring sample information requirements of the information input system; dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time for a single person corresponding to the sample acquisition requirements and the information input requirements to finish the requirements, and taking the time consumption, the number of nodes corresponding to the requirements and the idle time as input data of an acquisition model; the corresponding demand completion efficiency is obtained through calculation of the time consumption of completing the demand by a single person and the number of nodes corresponding to the demand, input data are input into an acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted; when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people; substituting the parameter values corresponding to the input data into the relational expression, minimizing the time wasted by people, obtaining the corresponding collection personnel number, obtaining the corresponding collection personnel distribution scheme according to the collection personnel number, and outputting the corresponding collection personnel distribution scheme when the comparison relation of the efficiency is completed according to different requirements.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. An intelligent dispatching method for biological sample collection personnel is characterized by comprising the following steps:
logging in an information input system, and obtaining sample information requirements of the information input system;
dividing sample information requirements into sample acquisition requirements and information input requirements, and respectively acquiring time consumption, the number of nodes corresponding to the requirements and idle time of single person completion requirements corresponding to the sample acquisition requirements and the information input requirements as input data of an acquisition model;
the corresponding demand completion efficiency is obtained through calculation of the time consumption of the single person for completing the demand and the number of nodes corresponding to the demand, the input data is input into the acquisition model, and the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand is adjusted;
when the comparison relations are different, the acquisition model outputs a corresponding relation between the average waste time of people and the number of acquired people;
substituting the parameter values corresponding to the input data into the relational expression, minimizing the waste time of people to obtain the corresponding collection personnel number, obtaining the corresponding collection personnel allocation scheme according to the collection personnel number, and outputting the corresponding collection personnel allocation scheme when the comparison relation of the efficiency is completed in different requirements;
obtaining a corresponding acquisition personnel distribution scheme according to the number of acquisition personnel, wherein the acquisition personnel distribution scheme comprises the following steps:
acquiring a preset distribution principle, and determining a corresponding personnel distribution relation according to the distribution principle, wherein the personnel distribution relation is a relation between the collection personnel corresponding to the sample collection requirement and the information input requirement and the collection personnel number;
acquiring acquisition personnel corresponding to the sample acquisition requirement and the information input requirement according to the number of the acquisition personnel and the personnel allocation relation, and acquiring the acquisition personnel allocation scheme according to the acquisition personnel corresponding to the sample acquisition requirement and the information input requirement;
the personnel allocation relation comprises:
wherein N is the number of the collection personnel, N C Collecting personnel corresponding to sample collecting requirements, n C For the number of nodes corresponding to the sample acquisition requirement, n L For the number of nodes corresponding to information input requirements, t C For single person corresponding to sample collection requirementTime consuming demand, t L The time for completing the requirement for the single person corresponding to the information input requirement is consumed.
2. The intelligent biological sample collector scheduling method of claim 1, further comprising:
the acquisition model determines a corresponding calculation relational expression of queuing time and in-place time according to the comparison relation;
and according to the input data, combining the calculation relation of the queuing time and the in-place time, and outputting the relation of the corresponding people waste time and the number of the acquisition personnel by the acquisition model when different comparison relations are calculated.
3. The intelligent scheduling method for biological sample collection personnel according to claim 1, wherein the comparison relation comprises:
the requirement completion efficiency of the sample acquisition requirement is equal to the requirement completion efficiency of the information input requirement;
or, the requirement completion efficiency of the sample acquisition requirement is greater than the requirement completion efficiency of the information entry requirement.
4. The intelligent biological sample collector scheduling method of claim 1, further comprising:
and determining a corresponding distribution scheme set according to the number of the collection personnel, and determining the distribution scheme of the collection personnel according to the boundary value of the distribution scheme set when the relation between the average person waste time and the number of the collection personnel is detected to be a monotonic expression.
5. An intelligent biological sample collector scheduler, comprising:
the login module is used for logging in the information input system and obtaining sample information requirements of the information input system;
the acquisition module is used for dividing the sample information requirement into a sample acquisition requirement and an information input requirement, and respectively acquiring the time consumption of single person completion requirement corresponding to the sample acquisition requirement and the information input requirement, the number of nodes corresponding to the requirement and the idle time, and taking the time consumption as input data of an acquisition model;
the input module is used for calculating corresponding demand completion efficiency through the time consumption of the single person completing the demand and the number of nodes corresponding to the demand, inputting the input data into the acquisition model, and adjusting the comparison relation of the demand completion efficiency between the sample acquisition demand and the information input demand;
the output module is used for outputting a corresponding relation between the average waste time of people and the number of acquired people by the acquisition model when the comparison relations are different;
the calculation module is used for substituting the parameter values corresponding to the input data into the relational expression, minimizing the waste time of people to obtain the corresponding number of the acquisition personnel, obtaining the corresponding acquisition personnel distribution scheme according to the number of the acquisition personnel, and outputting the corresponding acquisition personnel distribution scheme when the comparison relation of the efficiency is completed in different requirements;
the second acquisition module is used for acquiring a preset distribution principle, and determining a corresponding personnel distribution relation according to the distribution principle, wherein the personnel distribution relation is a relation between the collection personnel corresponding to the sample collection requirement and the information input requirement and the collection personnel number;
the personnel allocation module is used for obtaining the collection personnel corresponding to the sample collection requirement and the information input requirement according to the number of the collection personnel and the personnel allocation relation, and obtaining the collection personnel allocation scheme according to the collection personnel corresponding to the sample collection requirement and the information input requirement;
the personnel allocation relation comprises:
wherein N is the number of the collection personnel, N C Collector corresponding to sample collection requirementPersonnel, n C For the number of nodes corresponding to the sample acquisition requirement, n L For the number of nodes corresponding to information input requirements, t C Time consuming, t, for single person completion requirement corresponding to sample acquisition requirement L The time for completing the requirement for the single person corresponding to the information input requirement is consumed.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the intelligent scheduling method for biological sample collection personnel of any one of claims 1 to 4 when the program is executed by the processor.
7. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of the intelligent scheduling method of biological sample acquiring personnel according to any one of claims 1 to 4.
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