CN111612353A - Sample detection self-service method, device and system - Google Patents

Sample detection self-service method, device and system Download PDF

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Publication number
CN111612353A
CN111612353A CN202010444023.7A CN202010444023A CN111612353A CN 111612353 A CN111612353 A CN 111612353A CN 202010444023 A CN202010444023 A CN 202010444023A CN 111612353 A CN111612353 A CN 111612353A
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sample
detection
service
warehouse
receiving
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倪明
邓少飞
王家传
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Hefei Jinhe Information Technology Co ltd
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Hefei Jinhe Information Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316Sequencing of tasks or work
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

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Abstract

The invention relates to the technical field of inspection intelligence and discloses a sample detection self-service method, a device and a system, wherein the method comprises the following steps: receiving a checking request sent by a client and feeding back a service number; receiving a sample, endowing the sample with a readable sample label, and storing the sample into a corresponding sub-warehouse as required; sending the inspection request to a service management system and carrying out inspection task allocation and sequencing; the invention can provide self-service sample sending and detection demand expression service for detection clients, integrally completes the operations of service request collection, sample signing, storage and the like, improves the working efficiency, can feed back the time required for completing the sample detection in time according to different demands, perfects the attention of the users to the progress, and has higher practical value and wide application prospect.

Description

Sample detection self-service method, device and system
Technical Field
The invention relates to the technical field of inspection intellectualization, in particular to a sample detection self-service method, a device and a system.
Background
Laboratory sample management is an important component of laboratory daily management, sample safety management is an important guarantee for providing detection data in a laboratory, and the laboratory pays great attention to the sample safety management all the time. According to the requirement of detecting and calibrating the disposal of articles (samples) in terms of 5.8 in CNAS-CL01 approved Standard for laboratory Performance test, in the laboratory sample management process, the processes of sample signing, sample distribution, sample storage, return and disposal are mostly carried out under the condition of being far away from a computer, and meanwhile, the processes have the requirement of bidirectional quick feedback of data for sample management. If the traditional computer plus scanning gun mode or the manual sample number input mode is adopted, the mobility is poor, the information feedback in the database is seriously delayed, the field management of the sample is difficult to realize, meanwhile, a lot of data information of the traditional operation also depends on the hard memory of the human brain, the requirement on the quality of personnel is higher, the labor intensity is high, the working efficiency is lower, various errors are easy to generate, and the normal circulation of the sample in a laboratory is seriously influenced.
On the other hand, the existing user with the detection requirement needs to be in butt joint with a service department of a detection mechanism on site, the detection requirement is put forward, the user waits for the inquiry of the service department to obtain whether the detection can be carried out, meanwhile, a detection laboratory needs to make feedback to roughly know the detection completion time or carry out task allocation, in addition, the receiving of the sample also needs to be matched by inspectors to know how to store, the efficiency is too low, the user experience is poor, and the labor intensity is too high.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a sample detection self-service method, which is used for solving the problems in the background technology.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides a sample detection self-service method, which comprises the following steps:
receiving a checking request sent by a client and feeding back a service number;
receiving a sample, endowing the sample with a readable sample label, and storing the sample into a corresponding sub-warehouse as required;
sending the inspection request to a service management system and carrying out inspection task allocation and sequencing;
and feeding back the detection result to predict time.
Preferably, the receiving of the verification request sent by the client includes:
according to the classification of the detection service, the customer sequentially clicks or directly searches the character to enter the minimum class to be detected, fills in the detection information, completes the information filling, grants the pre-received service number after the verification is correct, determines the pre-received service number as a formal service number after receiving the sample storage signal of the pre-received service number within the specified time, and deletes the pre-received service number if not.
Preferably, the receiving a sample comprises:
and putting the sample into a sampling port of the warehouse, inputting a pre-receiving service number, filling sample information, writing detection information related to the pre-receiving service number and the sample information into the RFID label through a reader-writer, and associating the RFID label with the sample one by one.
Preferably, the storage-on-demand corresponding warehouse includes:
retrieving a detection standard database according to the detection information, and reading the storage requirements of the detection samples under the corresponding standards, including the requirements of temperature and humidity;
reading sample information, including quantity and size information;
according to the storage requirement and the sample information, searching a warehouse database:
if the sub-warehouse meets the requirements, feeding back the number of the sub-warehouse, feeding back a carrying route according to the number, conveying the sample to the corresponding sub-warehouse through the conveying device, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse;
otherwise, opening the unused sub-warehouse, setting the environmental parameters of the sub-warehouse according to the storage requirement of the detected sample, transmitting the sample to the sub-warehouse, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse.
Preferably, said performing laboratory task assignments comprises:
calling the sample detection and undertaking the detection deadline associated with all unfinished business numbers of departments;
reading detection information associated with the service number to be queued, and calculating the detection duration of the service number to be queued according to the detection items and the time required by each pre-stored detection item of the department;
reading the detection emergency degree associated with the service number to be queued, sequencing unfinished service numbers according to the deadline if the detection emergency degree is emergency detection, performing difference calculation on the two adjacent deadlines, sequencing the unfinished service numbers with the calculation result larger than the detection duration of the service number to be queued again according to the deadline, inserting the service number to be queued between the first sequencing time and the second sequencing time, and feeding back the detection result preset time.
Preferably, if the calculation results are all less than the detection duration of the service number to be queued, the latest detection result pre-exit time associated with the unfinished service number is used as the detection start time of the service number to be queued, and the detection result pre-exit time is fed back.
The invention provides a sample detection self-service device, comprising:
the client is used for receiving the inspection request sent by the client, feeding back the service number and receiving the detection result preset time;
the sample receiving module is used for receiving the sample and endowing the sample with a readable sample label; storing the materials into corresponding sub-warehouses as required;
the warehouse module comprises a plurality of sub-warehouses and is used for providing corresponding sub-warehouses according to requirements;
and the distribution module is used for sending the inspection request to the service management system and distributing and sequencing inspection tasks.
Preferably, the sub-warehouse may adjust environmental parameters including temperature, humidity and light intensity according to the command requirements.
The invention also provides a sample detection self-service system, comprising:
one or more processors;
storage means for storing one or more programs;
a sample detection self-service device;
the one or more programs, when executed by the one or more processors, cause the sample detection kiosk to implement, in cooperation with the one or more processors, a sample detection kiosk method as previously described.
The present invention also provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the sample testing self-service method as set forth above.
Compared with the prior art, the invention has the following beneficial effects:
the invention sends the inspection request and the sample to be spatially divided but temporally associated, on one hand, the inspection request can be remotely put forward for operation, the inspection service is accurately locked, the waiting of a user is reduced, and the labor intensity of a detection service department is reduced, on the other hand, the receiving of the sample and the processing of the label are carried out, the storage condition is timely obtained according to the inspection request, the validity of the detected sample is ensured, in addition, the task distribution and the sequencing are carried out according to the emergency degree of the inspection requirement, the detection task can be reasonably arranged, the result pre-extraction time to be detected is quickly obtained, and the user's concern is effectively met;
the invention puts forward the detection requirement for recording, and performs the operations of sample signing, sample storage, sample disposal and the like to perform the whole self-service, and the data acquired remotely or on site and the information in the server are mutually communicated and fed back, thereby improving the working efficiency; the traditional work flow is optimized, the samples can be managed on site, the problem that system information data is inconsistent with physical data is avoided, the whole-process data automatic information reading and inputting are realized, and human errors in the work process are reduced.
Further salient features and significant advances with respect to the present invention over the prior art are described in further detail in the examples section.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic flow chart of a sample testing self-service method of the present invention;
fig. 2 is a schematic structural diagram of a sample testing self-service device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that certain names are used throughout the specification and claims to refer to particular components. It will be understood that one of ordinary skill in the art may refer to the same component by different names. The present specification and claims do not intend to distinguish between components that differ in name but not function. As used in the specification and claims of this application, the terms "comprises" and "comprising" are intended to be open-ended terms that should be interpreted as "including, but not limited to," or "including, but not limited to. The embodiments described in the detailed description are preferred embodiments of the present invention and are not intended to limit the scope of the present invention.
Moreover, those skilled in the art will appreciate that aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, various aspects of the present invention may be embodied in a combination of hardware and software, which may be referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, various aspects of the invention may also be embodied in the form of a computer program product in one or more microcontroller-readable media having microcontroller-readable program code embodied therein.
The sample detection self-service method of the embodiment shown in fig. 1-2 comprises the following steps:
receiving a check request sent by a client, and feeding back a service number, specifically: according to the classification of the detection service, the customer sequentially clicks or directly searches the character to enter the minimum class to be detected, fills in the detection information, completes the information filling, grants the pre-received service number after the verification is correct, determines the pre-received service number as a formal service number after receiving the sample storage signal of the pre-received service number within the specified time, and deletes the pre-received service number if not.
Receiving a sample, endowing the sample with a readable sample label, specifically, putting the sample into a sampling port of a warehouse, inputting a pre-receiving service number, filling sample information, simultaneously writing detection information related to the pre-receiving service number and the sample information into an RFID label through a reader-writer, and associating the RFID label with the sample one by one.
Accomodate into corresponding sub-warehouse as required, specifically do it includes to accomodate corresponding warehouse as required:
retrieving a detection standard database according to the detection information, and reading the storage requirements of the detection samples under the corresponding standards, including the requirements of temperature and humidity;
reading sample information, including quantity and size information;
according to the storage requirement and the sample information, searching a warehouse database:
if the sub-warehouse meets the requirements, feeding back the number of the sub-warehouse, feeding back a carrying route according to the number, conveying the sample to the corresponding sub-warehouse through the conveying device, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse;
otherwise, opening the unused sub-warehouse, setting the environmental parameters of the sub-warehouse according to the storage requirement of the detected sample, transmitting the sample to the sub-warehouse, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse.
The method comprises the following steps of carrying out detection task allocation and sequencing on detection requests, specifically:
calling the sample detection and undertaking the detection deadline associated with all unfinished business numbers of departments;
reading detection information associated with the service number to be queued, and calculating the detection duration of the service number to be queued according to the detection items and the time required by each pre-stored detection item of the department;
reading the detection emergency degree associated with the service number to be queued, sequencing unfinished service numbers according to the deadline if the detection emergency degree is emergency detection, performing difference calculation on two adjacent deadlines, sequencing the unfinished service numbers with the calculation result larger than the detection time of the service number to be queued again according to the deadline, inserting the service number to be queued between the first sequencing time and the second sequencing time, and feeding back the detection result preset time;
if the calculation results are all smaller than the detection duration of the service number to be queued, the latest detection result pre-exit time associated with the unfinished service number is used as the detection start time of the service number to be queued, and the detection result pre-exit time is fed back;
and feeding back the detection result to predict time.
This embodiment also provides a sample detection self-service device, includes:
the client is used for receiving the inspection request sent by the client, feeding back the service number and receiving the detection result preset time;
the sample receiving module is used for receiving the sample and endowing the sample with a readable sample label; storing the materials into corresponding sub-warehouses as required;
the warehouse module comprises a plurality of sub-warehouses and is used for providing corresponding sub-warehouses according to requirements;
and the distribution module is used for sending the inspection request to the service management system and distributing and sequencing inspection tasks.
The sub-warehouse of this embodiment can require according to the instruction to adjust environmental parameter, environmental parameter includes temperature, humidity and illuminance.
This embodiment also provides a sample detection self-service system, includes:
one or more processors;
storage means for storing one or more programs;
a sample detection self-service device;
the one or more programs, when executed by the one or more processors, cause the sample detection kiosk to implement, in cooperation with the one or more processors, a sample detection kiosk method as previously described.
The present embodiment provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the sample testing self-service method as described above.
The sample detection self-service method, the sample detection self-service device and the sample detection self-service system can provide self-service sample sending and detection demand expression services for detection clients, integrally complete operations such as business request collection, sample sign-in, storage and the like, improve working efficiency, feed back time required for sample detection completion in time according to different demands, perfect user attention to progress, and have high practical value and wide application prospect.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (10)

1. A sample detection self-service method is characterized by comprising the following steps:
receiving a checking request sent by a client and feeding back a service number;
receiving a sample, endowing the sample with a readable sample label, and storing the sample into a corresponding sub-warehouse as required;
carrying out inspection task allocation and sequencing on the inspection requests;
and feeding back the detection result to predict time.
2. The sample testing self-service method according to claim 1, wherein the receiving of the test request sent by the customer comprises:
according to the classification of the detection service, the customer sequentially clicks or directly searches the character to enter the minimum class to be detected, fills in the detection information, completes the information filling, grants the pre-received service number after the verification is correct, determines the pre-received service number as a formal service number after receiving the sample storage signal of the pre-received service number within the specified time, and deletes the pre-received service number if not.
3. The sample testing self-service method according to claim 2, wherein the receiving the sample comprises:
and putting the sample into a sampling port of the warehouse, inputting a pre-receiving service number, filling sample information, writing detection information related to the pre-receiving service number and the sample information into the RFID label through a reader-writer, and associating the RFID label with the sample one by one.
4. The sample detection self-service method according to claim 3, wherein the receiving the corresponding warehouse as required comprises:
retrieving a detection standard database according to the detection information, and reading the storage requirements of the detection samples under the corresponding standards, including the requirements of temperature and humidity;
reading sample information, including quantity and size information;
according to the storage requirement and the sample information, searching a warehouse database:
if the sub-warehouse meets the requirements, feeding back the number of the sub-warehouse, feeding back a carrying route according to the number, conveying the sample to the corresponding sub-warehouse through the conveying device, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse;
otherwise, opening the unused sub-warehouse, setting the environmental parameters of the sub-warehouse according to the storage requirement of the detected sample, transmitting the sample to the sub-warehouse, placing the sample, and feeding back the unique area shelf number of the sample in the sub-warehouse.
5. The sample testing self-service method according to claim 4, wherein said performing testing task assignment comprises:
calling the sample detection and undertaking the detection deadline associated with all unfinished business numbers of departments;
reading detection information associated with the service number to be queued, and calculating the detection duration of the service number to be queued according to the detection items and the time required by each pre-stored detection item of the department;
reading the detection emergency degree associated with the service number to be queued, sequencing unfinished service numbers according to the deadline if the detection emergency degree is emergency detection, performing difference calculation on the two adjacent deadlines, sequencing the unfinished service numbers with the calculation result larger than the detection duration of the service number to be queued again according to the deadline, inserting the service number to be queued between the first sequencing time and the second sequencing time, and feeding back the detection result preset time.
6. The sample detection self-service method according to claim 5, wherein if the calculation results are all less than the detection duration of the service number to be queued, the latest detection result pre-exit time associated with the unfinished service number is used as the detection start time of the service number to be queued, and the detection result pre-exit time is fed back.
7. A sample testing self-service device, comprising:
the client is used for receiving the inspection request sent by the client, feeding back the service number and receiving the detection result preset time;
the sample receiving module is used for receiving the sample and endowing the sample with a readable sample label; storing the materials into corresponding sub-warehouses as required;
the warehouse module comprises a plurality of sub-warehouses and is used for providing corresponding sub-warehouses according to requirements;
and the distribution module is used for sending the inspection request to the service management system and distributing and sequencing inspection tasks.
8. The sample testing self-service device of claim 7, wherein said sub-warehouse is capable of adjusting environmental parameters according to the command, said environmental parameters including temperature, humidity and illumination.
9. A sample testing self-service system, comprising:
one or more processors;
storage means for storing one or more programs;
a sample detection self-service device;
the one or more programs, when executed by the one or more processors, cause the sample detection kiosk to implement, in cooperation with the one or more processors, the method of any of claims 1-6.
10. A storage medium having stored thereon a computer program for performing the steps of the sample testing self-service method according to any one of claims 1 to 6 when executed by a processor.
CN202010444023.7A 2020-05-22 2020-05-22 Sample detection self-service method, device and system Withdrawn CN111612353A (en)

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