CN112397147A - Gene sequencing delivery method and system for realizing collinear production based on intelligent scheduling technology - Google Patents
Gene sequencing delivery method and system for realizing collinear production based on intelligent scheduling technology Download PDFInfo
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Abstract
The invention provides a gene sequencing delivery method and a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, wherein the method comprises the following steps: a sample list is input, and a scheduling task is determined according to the sample list; issuing the scheduling task to the corresponding automation instrument group; acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by an automatic instrument set in a sequencing process; and if the quality inspection result and the library inspection result are qualified, delivering the gene sequencing result, and otherwise, re-delivering the scheduling task. The gene sequencing delivery method and system for realizing collinear production based on the intelligent scheduling technology greatly reduce manual operation, reduce labor cost, improve the utilization rate of instruments, further improve the capacity efficiency of the instruments and reduce the occurrence of the vacant problem of the instruments.
Description
Technical Field
The invention relates to the technical field of intelligent scheduling, in particular to a gene sequencing delivery method and a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology.
Background
At present, in a gene engineering program laboratory, when an automatic device is used for gene sequencing, information of a sample to be sequenced needs to be manually input, sequencing tasks corresponding to all instruments are manually distributed, multi-task collinear distribution cannot be realized, and therefore the problems of low utilization efficiency of the instruments, low productivity efficiency and vacant instruments exist.
Disclosure of Invention
One of the purposes of the invention is to provide a gene sequencing delivery method and a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, automatically determining a scheduling task according to a sample list provided by a user, automatically issuing the scheduling task to a corresponding automatic instrument group, outputting a gene sequencing result in the sequencing experiment process by the automatic instrument group, meanwhile, the quality detection result and the library detection result are also output, when the quality detection result and the library detection result are qualified, the gene sequencing result is delivered to the client, the intelligent scheduling sequencing instrument is realized to complete the sequencing task and deliver the sequencing result, the manual operation is greatly reduced, the labor cost is reduced, the utilization rate of the instrument is improved, the capacity efficiency of the instrument is improved, the occurrence of the vacant problem of the instrument is reduced, meanwhile, a plurality of sequencing tasks can be distributed simultaneously, and the collinear production of gene sequencing experiments is really realized.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which comprises the following steps:
a sample list is input, and a scheduling task is determined according to the sample list;
issuing the scheduling task to a corresponding automation instrument group;
acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument group in a sequencing process;
and if the quality inspection result and the library inspection result are qualified, delivering the gene sequencing result, and otherwise, re-delivering the scheduling task.
Preferably, determining a scheduling task according to the sample list specifically includes:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
Preferably, after determining the committed delivery time of the sample, the performing further comprises:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
Preferably, said set of automated instruments comprises: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
Preferably, the gene sequencing delivery method for realizing collinear production based on the intelligent scheduling technology further comprises:
obtaining historical operation data corresponding to each automated instrument group in a preset historical operation database, wherein the historical operation data comprises: capacity data of each of the automation instrument groups in each operating cycle, the capacity data being determined according to the following preset method:
wherein Prod is capacity data, texpIs the predicted completion time, t, of the task within the run periodfactSigma is a preset determination coefficient and d is the difficulty level of the task in the operation period, wherein the actual completion time of the task in the operation period is sigma;
according to the capacity data of the automatic instrument set from the time of putting into use to the current n operating periods, drawing a capacity data curve by taking the time sequence as a horizontal axis and the numerical value as a vertical axis, and determining the fluctuation index of the capacity data curve;
the determining the fluctuation index of the capacity data curve specifically comprises the following steps:
acquiring a preset sampling frame, and determining the length of the sampling frame:
wherein L is the length of the sampling frame, T is the total time from the automatic instrument set to the current time, and T0F is a preset random selection function tau, and f is the total time from the automatic instrument group being put into use to the current time waiting for the dispatching task to be distributed1Determining the coefficient, τ, for a preset lower limit1＞1，τ2Determining a coefficient for a predetermined upper limit, 0 < tau2Min is the minimum function, max is the maximum function, [ …, … ]]Represents a section;
sampling the productivity data curve by adopting a sampling frame to obtain a plurality of sampling data sets;
calculating the fluctuation index of the capacity data curve:
wherein V is a fluctuation index, theta is a preset error coefficient, and xiFor the data in the ith sample data set, min is a minimum function, max is a maximum function, m is the total number of sample data sets, J1And J2The weight value is a preset weight value;
sorting the automatic instrument groups from small to large according to the fluctuation indexes of the automatic instrument groups, and selecting the first r automatic instrument group combinations as a high-quality instrument group list;
acquiring historical order data corresponding to each client in a preset client historical order database, wherein the historical order data comprises: the sample number and emergency condition of each order in a preset statistical period of each client;
calculating the priority index of the client according to the historical order data;
sorting the clients according to the priority indexes of the clients from big to small, and selecting the first r client combinations as a high-quality client list;
and the high-quality instrument group list corresponds to the high-quality client list one by one, and the scheduling task of each high-quality client is preferentially issued to the corresponding high-quality instrument group.
Preferably, the following preset method is adopted to calculate the priority index of the client, including:
calculating the priority index of the client:
wherein Priority is Priority index, G is total number of sub-periods in statistical period, NeThe sample number of the e-th order, K is the total number of orders in the statistical period, W is the manual setting priority value corresponding to the customer, and K1、k2And k3Is a preset weight value.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, which comprises:
the input and determination module is used for inputting a sample list and determining a scheduling task according to the sample list;
the task issuing module is used for issuing the scheduling tasks to the corresponding automatic instrument groups;
the acquisition module is used for acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument set in the sequencing process;
and the judging and executing module is used for delivering the gene sequencing result if the quality detection result and the library detection result are qualified, and otherwise, re-issuing the scheduling task.
Preferably, the logging and determination module performs operations comprising:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
Preferably, the recording and determining module, after determining the committed delivery time of the sample, performs the following operations:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
Preferably, said set of automated instruments comprises: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a gene sequencing delivery method for realizing collinear production based on intelligent scheduling technology in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which comprises the following steps of:
a sample list is input, and a scheduling task is determined according to the sample list;
issuing the scheduling task to a corresponding automation instrument group;
acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument group in a sequencing process;
and if the quality inspection result and the library inspection result are qualified, delivering the gene sequencing result, and otherwise, re-delivering the scheduling task.
The working principle of the technical scheme is as follows:
firstly, when a customer order is received, a sample list in the customer order is input, a scheduling task is determined according to each sample type of the sample list and customer requirements, when the scheduling task is determined, the scheduling task is issued to a corresponding automatic instrument group (an automatic instrument for each process of gene sequencing), each experimental sample to be sequenced automatically enters the corresponding automatic instrument group (on-machine), the automatic instrument group can output a gene sequencing result, a quality detection result and a library detection result in the gene sequencing process, if the quality detection result and the library detection result are qualified, the gene sequencing result is delivered (output), the gene sequencing result is summarized and then submitted to the corresponding customer, otherwise, the gene sequencing experiment is carried out again after the scheduling task is issued again.
The beneficial effects of the above technical scheme are: according to the embodiment of the invention, the scheduling task is automatically determined according to the sample list provided by the user, and is automatically issued to the corresponding automatic instrument group, the automatic instrument group outputs the gene sequencing result in the sequencing experiment process, and simultaneously, the quality inspection result and the library inspection result are also output, when the quality inspection result and the library inspection result are qualified, the gene sequencing result is delivered to the client, so that the intelligent scheduling sequencing instrument is realized to complete the sequencing task and deliver the sequencing result, the manual operation is greatly reduced, the labor cost is reduced, the utilization rate of the instrument is improved, the productivity efficiency of the instrument is improved, the occurrence of the vacant problem of the instrument is reduced, meanwhile, a plurality of sequencing tasks can be simultaneously distributed, and the collinear production of the gene sequencing experiment is really realized.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which determines a scheduling task according to a sample list and specifically comprises the following steps:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
The working principle of the technical scheme is as follows:
the preset determination rule is specifically as follows: determining the working procedures required to be carried out according to the requirements of customers; for example: the gene sequencing precision required by a client is high enough (the user can remark the precision on a sample list), the precision required by the client is different, the grades of all procedures carried out by an instrument are different, and the completion time is also different; determining which processes (target processes) need to be performed by each sample according to the determination rule, wherein each target process on the sample list corresponds to a commitment period of a client, and the total commitment period (sum) is the commitment delivery time; and acquiring the capacity data of each automatic instrument group, wherein the capacity data represents the capacity of the corresponding automatic instrument for receiving the scheduling task, the higher the capacity data is, the more the capacity data can receive a new scheduling task, and the samples closer to the committed delivery time (descending order sorting) are matched with the automatic instruments with the higher capacity data (from large to small) so as to ensure that the samples can be delivered on time to the maximum extent.
The beneficial effects of the above technical scheme are: the embodiment of the invention determines a plurality of target processes of each sample in the sample list through the preset determination rule, determines the committed delivery time, and matches the sample closer to the committed delivery time with the automatic instrument with higher productivity data so as to ensure that the sample can be delivered on time to the maximum extent, thereby improving the rationality of the system for distributing and scheduling tasks, avoiding manual distribution of the scheduling tasks, reducing manual operation and being more intelligent.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which comprises the following steps of after the committed delivery time of a sample is determined:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
The working principle of the technical scheme is as follows:
the preset standard completion time database prestores completion time corresponding to each process, and the completion time can be obtained by averaging the completion time recorded for multiple times in one process in the operation records of the automatic instrument; and summarizing the completion time (sum) of all target processes of each sample to be used as the predicted delivery time, if the predicted delivery time is later than the committed delivery time, listing the corresponding sample in an overdue sample list, and outputting the corresponding sample after all the samples are listed.
The beneficial effects of the above technical scheme are: according to the embodiment of the invention, the expected delivery time is calculated and compared with the committed delivery time, the overdue sample list which cannot be delivered on time is determined and output, and the staff can timely make a call with the corresponding client according to the overdue sample list, so that the working efficiency of the staff is improved, and the phenomenon that the client cannot accept the overdue sample due to waiting for a plurality of times is avoided.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, wherein an automatic instrument group comprises the following components: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
The working principle of the technical scheme is as follows:
registering, tracking and checking each sample, and printing a unique bar code corresponding to the corresponding sequencing experiment item for each sample so as to associate the sample with the corresponding sequencing experiment item; the preset library inspection standard specifically comprises the following steps: searching corresponding samples in the library, and judging whether corresponding sample records exist or not; the nucleic acid extractor extracts nucleic acid from a sample, the gene sequencing instrument performs gene sequencing on the sample after the nucleic acid is extracted, and the quality inspection instrument is responsible for performing quality inspection on the whole gene sequencing process.
The beneficial effects of the above technical scheme are: the automatic instrument provided by the embodiment of the invention comprises a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument, and is used for printing a corresponding unique bar code for each sample, ensuring the traceability of the sample, supporting the specific library construction scheme of all suppliers and meeting more customer requirements.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which further comprises the following steps:
obtaining historical operation data corresponding to each automated instrument group in a preset historical operation database, wherein the historical operation data comprises: capacity data of each of the automation instrument groups in each operating cycle, the capacity data being determined according to the following preset method:
wherein Prod is capacity data, texpIs the predicted completion time, t, of the task within the run periodfactSigma is a preset determination coefficient and d is the difficulty level of the task in the operation period, wherein the actual completion time of the task in the operation period is sigma;
according to the capacity data of the automatic instrument set from the time of putting into use to the current n operating periods, drawing a capacity data curve by taking the time sequence as a horizontal axis and the numerical value as a vertical axis, and determining the fluctuation index of the capacity data curve;
the determining the fluctuation index of the capacity data curve specifically comprises the following steps:
acquiring a preset sampling frame, and determining the length of the sampling frame:
wherein L is the length of the sampling frame, and T is the automation instrument setTotal time from putting into use to present, T0F is a preset random selection function tau, and f is the total time from the automatic instrument group being put into use to the current time waiting for the dispatching task to be distributed1Determining the coefficient, τ, for a preset lower limit1＞1，τ2Determining a coefficient for a predetermined upper limit, 0 < tau2Min is the minimum function, max is the maximum function, [ …, … ]]Represents a section;
sampling the productivity data curve by adopting a sampling frame to obtain a plurality of sampling data sets;
calculating the fluctuation index of the capacity data curve:
wherein V is a fluctuation index, theta is a preset error coefficient, and xiFor the data in the ith sample data set, min is a minimum function, max is a maximum function, m is the total number of sample data sets, J1And J2The weight value is a preset weight value;
sorting the automatic instrument groups from small to large according to the fluctuation indexes of the automatic instrument groups, and selecting the first r automatic instrument group combinations as a high-quality instrument group list;
acquiring historical order data corresponding to each client in a preset client historical order database, wherein the historical order data comprises: the sample number and emergency condition of each order in a preset statistical period of each client;
calculating the priority index of the client according to the historical order data;
sorting the clients according to the priority indexes of the clients from big to small, and selecting the first r client combinations as a high-quality client list;
and the high-quality instrument group list corresponds to the high-quality client list one by one, and the scheduling task of each high-quality client is preferentially issued to the corresponding high-quality instrument group.
The working principle of the technical scheme is as follows:
the historical operation database records the operation data of each automation instrument group; historical operating data contains capacity data for each cluster of automated instruments during each operating cycle (from the receipt of a new sample to the end of gene sequencing); the capacity data is determined according to the predicted completion time, the actual completion time and the task difficulty level of the task in the operation period, the task can be decomposed into a plurality of working procedures by the predicted completion time, and the completion time corresponding to each working procedure in the preset standard completion time database is summarized to obtain the capacity data; the difficulty level is determined according to the sequencing requirement (sequencing precision) of a client, each sequencing precision is mapped with one difficulty level, the determination coefficient is related to the difficulty level, and each difficulty level corresponds to one determination coefficient; the larger the capacity data is, the higher the equipment operation level representing the automation instrument set is; drawing a capacity data curve according to the capacity data in the n operating cycles; acquiring a preset sampling frame, generating the length (time length) of the exclusive sampling frame according to an automatic instrument group, sampling the productivity data curve by adopting the sampling frame to obtain a plurality of sampling data sets, wherein each sampling data set comprises a plurality of productivity data, and calculating the fluctuation index of the productivity data curve according to the relation between the maximum value and the minimum value of the productivity data in all the sampling data sets and corresponding weight values; the fluctuation index represents the operation stability of the automatic instrument set, the smaller the fluctuation coefficient is, the more stable the operation is, otherwise, the more unstable the operation is; calculating a customer priority index according to historical order data of the customer; the more stably operating automation equipment is preferentially distributed to the customers with high priority indexes, and the order requirements of the high-quality customers are met as much as possible.
The beneficial effects of the above technical scheme are: when a general gene sequencing laboratory receives a customer order, in order to maintain the cooperative relationship between the large customer and the large customer, the order of the large customer is distributed preferentially by manpower, and the completion efficiency of the order is ensured, but the operation level of an instrument cannot be determined rapidly by manpower, and operation records need to be verified one by one and compared in a statistical manner, so that the method is very complicated.
The embodiment of the invention provides a gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology, which adopts the following preset method to calculate the priority index of a client and comprises the following steps:
calculating the priority index of the client:
wherein Priority is Priority index, G is total number of sub-periods in statistical period, NeThe sample number of the e-th order, K is the total number of orders in the statistical period, W is the manual setting priority value corresponding to the customer, and K1、k2And k3Is a preset weight value.
The working principle of the technical scheme is as follows:
a plurality of sub-periods (for example: 1 month) exist in a statistical period (for example: 12 months), and the priority index of the customer is calculated according to the number of orders and the emergency situation of each order of the customer in the statistical period and the situation whether the order exists in all the sub-periods or not and corresponding weight values; the manual setting of the priority value specifically comprises the following steps: the staff can set the corresponding priority value of the client according to the subjective reason and the like, and the item is used as a special condition and is not set manually generally; for example: if a customer has orders each month, most of the orders have urgent remarks, and the number of samples of each order is large, the higher the priority index of the customer, the more the premium equipment needs to be arranged to complete the order.
The beneficial effects of the above technical scheme are: according to the method and the device, the number of orders of each order in a statistical period, the emergency condition and the condition whether the order exists in all sub-periods are counted by a client, the corresponding weight value is given to calculate the priority index of the client, the client can be ranked according to the priority index, a high-quality automatic instrument group is arranged preferentially to complete the order, the high-quality client can be determined by a worker, meanwhile, the method and the device are more intelligent, meanwhile, a manual setting priority item is also set, and application scenes used in some special conditions can be met.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, which comprises the following components in percentage by weight as shown in figure 2:
the input and determination module is used for inputting a sample list and determining a scheduling task according to the sample list;
the task issuing module is used for issuing the scheduling tasks to the corresponding automatic instrument groups;
the acquisition module is used for acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument set in the sequencing process;
and the judging and executing module is used for delivering the gene sequencing result if the quality detection result and the library detection result are qualified, and otherwise, re-issuing the scheduling task.
The working principle of the technical scheme is as follows:
firstly, when a customer order is received, a sample list in the customer order is input, a scheduling task is determined according to each sample type of the sample list and customer requirements, when the scheduling task is determined, the scheduling task is issued to a corresponding automatic instrument group (an automatic instrument for each process of gene sequencing), each experimental sample to be sequenced automatically enters the corresponding automatic instrument group (on-machine), the automatic instrument group can output a gene sequencing result, a quality detection result and a library detection result in the gene sequencing process, if the quality detection result and the library detection result are qualified, the gene sequencing result is delivered (output), the gene sequencing result is summarized and then submitted to the corresponding customer, otherwise, the gene sequencing experiment is carried out again after the scheduling task is issued again.
The beneficial effects of the above technical scheme are: according to the embodiment of the invention, the scheduling task is automatically determined according to the sample list provided by the user, and is automatically issued to the corresponding automatic instrument group, the automatic instrument group outputs the gene sequencing result in the sequencing experiment process, and simultaneously, the quality inspection result and the library inspection result are also output, when the quality inspection result and the library inspection result are qualified, the gene sequencing result is delivered to the client, so that the intelligent scheduling sequencing instrument is realized to complete the sequencing task and deliver the sequencing result, the manual operation is greatly reduced, the labor cost is reduced, the utilization rate of the instrument is improved, the productivity efficiency of the instrument is improved, the occurrence of the vacant problem of the instrument is reduced, meanwhile, a plurality of sequencing tasks can be simultaneously distributed, and the collinear production of the gene sequencing experiment is really realized.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, wherein the recording and determining module executes the following operations:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
The working principle of the technical scheme is as follows:
the preset determination rule is specifically as follows: determining the working procedures required to be carried out according to the requirements of customers; for example: the gene sequencing precision required by a client is high enough (the user can remark the precision on a sample list), the precision required by the client is different, the grades of all procedures carried out by an instrument are different, and the completion time is also different; determining which processes (target processes) need to be performed by each sample according to the determination rule, wherein each target process on the sample list corresponds to a commitment period of a client, and the total commitment period (sum) is the commitment delivery time; and acquiring the capacity data of each automatic instrument group, wherein the capacity data represents the capacity of the corresponding automatic instrument for receiving the scheduling task, the higher the capacity data is, the more the capacity data can receive a new scheduling task, and the samples closer to the committed delivery time (descending order sorting) are matched with the automatic instruments with the higher capacity data (from large to small) so as to ensure that the samples can be delivered on time to the maximum extent.
The beneficial effects of the above technical scheme are: the embodiment of the invention determines a plurality of target processes of each sample in the sample list through the preset determination rule, determines the committed delivery time, and matches the sample closer to the committed delivery time with the automatic instrument with higher productivity data so as to ensure that the sample can be delivered on time to the maximum extent, thereby improving the rationality of the system for distributing and scheduling tasks, avoiding manual distribution of the scheduling tasks, reducing manual operation and being more intelligent.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, wherein the recording and determining module further comprises the following operations after determining the promised delivery time of a sample:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
The working principle of the technical scheme is as follows:
the preset standard completion time database prestores completion time corresponding to each process, and the completion time can be obtained by averaging the completion time recorded for multiple times in one process in the operation records of the automatic instrument; and summarizing the completion time (sum) of all target processes of each sample to be used as the predicted delivery time, if the predicted delivery time is later than the committed delivery time, listing the corresponding sample in an overdue sample list, and outputting the corresponding sample after all the samples are listed.
The beneficial effects of the above technical scheme are: according to the embodiment of the invention, the expected delivery time is calculated and compared with the committed delivery time, the overdue sample list which cannot be delivered on time is determined and output, and the staff can timely make a call with the corresponding client according to the overdue sample list, so that the working efficiency of the staff is improved, and the phenomenon that the client cannot accept the overdue sample due to waiting for a plurality of times is avoided.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, and the automatic instrument group comprises: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
The working principle of the technical scheme is as follows:
registering, tracking and checking each sample, and printing a unique bar code corresponding to the corresponding sequencing experiment item for each sample so as to associate the sample with the corresponding sequencing experiment item; the preset library inspection standard specifically comprises the following steps: searching corresponding samples in the library, and judging whether corresponding sample records exist or not; the nucleic acid extractor extracts nucleic acid from a sample, the gene sequencing instrument performs gene sequencing on the sample after the nucleic acid is extracted, and the quality inspection instrument is responsible for performing quality inspection on the whole gene sequencing process.
The beneficial effects of the above technical scheme are: the automatic instrument provided by the embodiment of the invention comprises a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument, and is used for printing a corresponding unique bar code for each sample, ensuring the traceability of the sample, supporting the specific library construction scheme of all suppliers and meeting more customer requirements.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, which further comprises:
the priority service module is used for determining a high-quality instrument and a high-quality client and adopting the high-quality instrument to serve the high-quality client preferentially;
the priority service module performs operations comprising:
obtaining historical operation data corresponding to each automated instrument group in a preset historical operation database, wherein the historical operation data comprises: capacity data of each of the automation instrument groups in each operating cycle, the capacity data being determined according to the following preset method:
wherein Prod is capacity data, texpIs the predicted completion time, t, of the task within the run periodfactSigma is a preset determination coefficient and d is the difficulty level of the task in the operation period, wherein the actual completion time of the task in the operation period is sigma;
according to the capacity data of the automatic instrument set from the time of putting into use to the current n operating periods, drawing a capacity data curve by taking the time sequence as a horizontal axis and the numerical value as a vertical axis, and determining the fluctuation index of the capacity data curve;
the determining the fluctuation index of the capacity data curve specifically comprises the following steps:
acquiring a preset sampling frame, and determining the length of the sampling frame:
wherein L is the length of the sampling frame, T is the total time from the automatic instrument set to the current time, and T0F is a preset random selection function tau, and f is the total time from the automatic instrument group being put into use to the current time waiting for the dispatching task to be distributed1Determining the coefficient, τ, for a preset lower limit1＞1，τ2Determining a coefficient for a predetermined upper limit, 0 < tau2Min is the minimum function, max is the maximum function, [ …, … ]]Represents a section;
sampling the productivity data curve by adopting a sampling frame to obtain a plurality of sampling data sets;
calculating the fluctuation index of the capacity data curve:
wherein V is a fluctuation index, theta is a preset error coefficient, and xiFor the data in the ith sample data set, min is a minimum function, max is a maximum function, m is the total number of sample data sets, J1And J2The weight value is a preset weight value;
sorting the automatic instrument groups from small to large according to the fluctuation indexes of the automatic instrument groups, and selecting the first r automatic instrument group combinations as a high-quality instrument group list;
acquiring historical order data corresponding to each client in a preset client historical order database, wherein the historical order data comprises: the sample number and emergency condition of each order in a preset statistical period of each client;
calculating the priority index of the client according to the historical order data;
sorting the clients according to the priority indexes of the clients from big to small, and selecting the first r client combinations as a high-quality client list;
and the high-quality instrument group list corresponds to the high-quality client list one by one, and the scheduling task of each high-quality client is preferentially issued to the corresponding high-quality instrument group.
The working principle of the technical scheme is as follows:
the historical operation database records the operation data of each automation instrument group; historical operating data contains capacity data for each cluster of automated instruments during each operating cycle (from the receipt of a new sample to the end of gene sequencing); the capacity data is determined according to the predicted completion time, the actual completion time and the task difficulty level of the task in the operation period, the task can be decomposed into a plurality of working procedures by the predicted completion time, and the completion time corresponding to each working procedure in the preset standard completion time database is summarized to obtain the capacity data; the difficulty level is determined according to the sequencing requirement (sequencing precision) of a client, each sequencing precision is mapped with one difficulty level, the determination coefficient is related to the difficulty level, and each difficulty level corresponds to one determination coefficient; the larger the capacity data is, the higher the equipment operation level representing the automation instrument set is; drawing a capacity data curve according to the capacity data in the n operating cycles; acquiring a preset sampling frame, generating the length (time length) of the exclusive sampling frame according to an automatic instrument group, sampling the productivity data curve by adopting the sampling frame to obtain a plurality of sampling data sets, wherein each sampling data set comprises a plurality of productivity data, and calculating the fluctuation index of the productivity data curve according to the relation between the maximum value and the minimum value of the productivity data in all the sampling data sets and corresponding weight values; the fluctuation index represents the operation stability of the automatic instrument set, the smaller the fluctuation coefficient is, the more stable the operation is, otherwise, the more unstable the operation is; calculating a customer priority index according to historical order data of the customer; the more stably operating automation equipment is preferentially distributed to the customers with high priority indexes, and the order requirements of the high-quality customers are met as much as possible.
The beneficial effects of the above technical scheme are: when a general gene sequencing laboratory receives a customer order, in order to maintain the cooperative relationship between the large customer and the large customer, the order of the large customer is distributed preferentially by manpower, and the completion efficiency of the order is ensured, but the operation level of an instrument cannot be determined rapidly by manpower, and operation records need to be verified one by one and compared in a statistical manner, so that the method is very complicated.
The embodiment of the invention provides a gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology, wherein a priority service module calculates a priority index of a client by adopting the following preset method, and the priority index comprises the following steps:
calculating the priority index of the client:
wherein Priority is Priority index, G is total number of sub-periods in statistical period, NeThe sample number of the e-th order, K is the total number of orders in the statistical period, W is the manual setting priority value corresponding to the customer, and K1、k2And k3Is a preset weight value.
The working principle of the technical scheme is as follows:
a plurality of sub-periods (for example: 1 month) exist in a statistical period (for example: 12 months), and the priority index of the customer is calculated according to the number of orders and the emergency situation of each order of the customer in the statistical period and the situation whether the order exists in all the sub-periods or not and corresponding weight values; the manual setting of the priority value specifically comprises the following steps: the staff can set the corresponding priority value of the client according to the subjective reason and the like, and the item is used as a special condition and is not set manually generally; for example: if a customer has orders each month, most of the orders have urgent remarks, and the number of samples of each order is large, the higher the priority index of the customer, the more the premium equipment needs to be arranged to complete the order.
The beneficial effects of the above technical scheme are: according to the method and the device, the number of orders of each order in a statistical period, the emergency condition and the condition whether the order exists in all sub-periods are counted by a client, the corresponding weight value is given to calculate the priority index of the client, the client can be ranked according to the priority index, a high-quality automatic instrument group is arranged preferentially to complete the order, the high-quality client can be determined by a worker, meanwhile, the method and the device are more intelligent, meanwhile, a manual setting priority item is also set, and application scenes used in some special conditions can be met.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A gene sequencing delivery method for realizing collinear production based on an intelligent scheduling technology is characterized by comprising the following steps:
a sample list is input, and a scheduling task is determined according to the sample list;
issuing the scheduling task to a corresponding automation instrument group;
acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument group in a sequencing process;
and if the quality inspection result and the library inspection result are qualified, delivering the gene sequencing result, and otherwise, re-delivering the scheduling task.
2. The gene sequencing delivery method for realizing collinear production based on the intelligent scheduling technology as claimed in claim 1, wherein determining the scheduling task according to the sample list specifically comprises:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
3. The gene sequencing delivery method for realizing collinear production based on the intelligent scheduling technology as claimed in claim 2, wherein after determining the committed delivery time of the sample, the execution further comprises the following operations:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
4. The gene sequencing delivery method for realizing collinear production based on intelligent scheduling technology as claimed in claim 1, wherein the automated instrument set comprises: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
5. The gene sequencing delivery method for realizing collinear production based on the intelligent scheduling technology as claimed in claim 1, further comprising:
obtaining historical operation data corresponding to each automated instrument group in a preset historical operation database, wherein the historical operation data comprises: capacity data of each of the automation instrument groups in each operating cycle, the capacity data being determined according to the following preset method:
wherein, ProdAs capacity data, texpIs the predicted completion time, t, of the task within the run periodfactSigma is a preset determination coefficient and d is the difficulty level of the task in the operation period, wherein the actual completion time of the task in the operation period is sigma;
according to the capacity data of the automatic instrument set from the time of putting into use to the current n operating periods, drawing a capacity data curve by taking the time sequence as a horizontal axis and the numerical value as a vertical axis, and determining the fluctuation index of the capacity data curve;
the determining the fluctuation index of the capacity data curve specifically comprises the following steps:
acquiring a preset sampling frame, and determining the length of the sampling frame:
wherein,l is the length of the sampling frame, T is the total time from the automatic instrument set to the current time, T0F is a preset random selection function tau, and f is the total time from the automatic instrument group being put into use to the current time waiting for the dispatching task to be distributed1Determining the coefficient, τ, for a preset lower limit1＞1，τ2Determining a coefficient for a predetermined upper limit, 0 < tau2Min is the minimum function, max is the maximum function, [ …, … ]]Represents a section;
sampling the productivity data curve by adopting a sampling frame to obtain a plurality of sampling data sets;
calculating the fluctuation index of the capacity data curve:
wherein V is a fluctuation index, theta is a preset error coefficient, and xiFor the data in the ith sample data set, min is a minimum function, max is a maximum function, m is the total number of sample data sets, J1And J2The weight value is a preset weight value;
sorting the automatic instrument groups from small to large according to the fluctuation indexes of the automatic instrument groups, and selecting the first r automatic instrument group combinations as a high-quality instrument group list;
acquiring historical order data corresponding to each client in a preset client historical order database, wherein the historical order data comprises: the sample number and emergency condition of each order in a preset statistical period of each client;
calculating the priority index of the client according to the historical order data;
sorting the clients according to the priority indexes of the clients from big to small, and selecting the first r client combinations as a high-quality client list;
and the high-quality instrument group list corresponds to the high-quality client list one by one, and the scheduling task of each high-quality client is preferentially issued to the corresponding high-quality instrument group.
6. The gene sequencing delivery method for realizing collinear production based on the intelligent scheduling technology as claimed in claim 5, wherein the priority index of the customer is calculated by adopting the following preset methods, comprising:
calculating the priority index of the client:
wherein Priority is Priority index, G is total number of sub-periods in statistical period, NeThe sample number of the e-th order, K is the total number of orders in the statistical period, W is the manual setting priority value corresponding to the customer, and K1、k2And k3Is a preset weight value.
7. A gene sequencing delivery system for realizing collinear production based on an intelligent scheduling technology is characterized by comprising:
the input and determination module is used for inputting a sample list and determining a scheduling task according to the sample list;
the task issuing module is used for issuing the scheduling tasks to the corresponding automatic instrument groups;
the acquisition module is used for acquiring a gene sequencing result, a quality inspection result and a library inspection result which are output by the automatic instrument set in the sequencing process;
and the judging and executing module is used for delivering the gene sequencing result if the quality detection result and the library detection result are qualified, and otherwise, re-issuing the scheduling task.
8. The gene sequencing delivery system for realizing collinear production based on the intelligent scheduling technology as claimed in claim 7, wherein the logging and determining module executes the following operations:
determining a plurality of target processes of each sample in the sample list according to a preset determination rule;
acquiring a commitment period corresponding to the target process in a sample list, summarizing all the commitment periods of each sample and taking the total commitment periods as commitment delivery time;
sorting the samples in the sample list in a descending order according to the promised delivery time of the samples to obtain an order set to be tested;
acquiring capacity data of each automatic instrument group, and sequencing each automatic instrument group from large to small according to the capacity data to obtain a set to be scheduled;
and matching each sample in the to-be-scheduled set with each automated instrument group in the to-be-scheduled set one by one to obtain a scheduling task.
9. The gene sequencing delivery system for realizing collinear production based on the intelligent scheduling technology as claimed in claim 8, wherein the entering and determining module, after determining the committed delivery time of the sample, performs the following operations:
acquiring the completion time corresponding to the target process in a preset standard completion time database, and summarizing the completion time of all target processes of each sample as predicted delivery time;
and counting an overdue sample list which cannot be delivered on time in the sample list according to the committed delivery time and the predicted delivery time and outputting the overdue sample list.
10. The gene sequencing delivery system for realizing collinear production based on intelligent scheduling technology as claimed in claim 7, wherein the automated instrument set comprises: a nucleic acid extraction instrument, a gene sequencing instrument and a quality inspection instrument which are connected in sequence;
a sequencing process for a cluster of automated instruments, comprising:
registering, tracking and checking each sample, and printing a corresponding unique bar code for each sample;
obtaining a quality inspection result in a quality inspection instrument, wherein an unqualified sample is marked in the quality inspection result;
tracking samples from a vendor-specific library construction workflow, supporting all vendor-specific library construction schemes, and storing all samples and corresponding barcodes in a library;
performing library inspection on the library according to a preset library inspection standard, and outputting a library inspection result;
extracting nucleic acid from the sample by a nucleic acid extraction instrument;
sequencing the sample subjected to nucleic acid extraction by a gene sequencing instrument, and outputting a gene sequencing result.
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