Laboratory equipment management method and system for chemical detection

By calculating the cardinality of equipment and analyzing historical equipment usage data, the problems of unfair equipment allocation and insufficient training in traditional laboratory equipment management are solved, and the fairness of equipment allocation and targeted training are achieved.

CN119398998AInactive Publication Date: 2025-02-07JIANGXI YUANHAO TESTING TECH CO LTD

Patent Information

Application Number
CN202411983330.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-02-07
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional laboratory equipment management methods have problems such as unfair equipment allocation and insufficient training in equipment use, lack of transparency and fairness, and lack of targeted and systematic training methods.

Method used

By receiving user input, the priority, credit and integrity of user information are retrieved, the base of equipment usage is calculated, the fairness and rationality of equipment allocation is realized, and the data analysis of historical equipment usage is analyzed to send it to user accounts Personalized equipment training information.

Benefits of technology

It realizes the fairness and rationality of equipment allocation, improves scientific researchers' familiarity with equipment and operation accuracy, and avoids redundancy in equipment training information.

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Abstract

The invention is suitable for the technical field of equipment management, and provides a laboratory equipment management method and system for chemical detection, and the method comprises the following steps: receiving an experimental equipment use demand inputted by a user, the experimental equipment use demand comprising an experimental item, user information, demand equipment and a demand time period; judging whether the demanded equipment needs to be queued for use, if so, calling the priority, the credit and the integrity of the corresponding user information, and calculating to obtain an equipment use cardinal number of the user information; determining the deadline of the demand time period, and determining user information allocated to the equipment at the deadline; and calling historical equipment use data of the distributed user information, analyzing the historical equipment use data, and sending equipment training information to the user account. According to the invention, based on a multi-dimensional equipment allocation strategy, the equipment use cardinal number is determined by calling the priority, the credit and the integrity of the user information, so that the fairness and the reasonability of equipment allocation are realized.
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Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and in particular to a laboratory equipment management method and system for chemical testing. Background Art

[0002] In the field of chemical research and experiment, the management and maintenance of laboratory equipment are crucial. Traditionally, the management of laboratory equipment often relies on manual recording and allocation, which is not only inefficient but also prone to errors. With the increasing number and complexity of scientific research activities, the demand for the use of laboratory equipment has also surged, and traditional equipment management methods can no longer meet current needs. Traditional laboratory equipment management has the following problems: 1. Unfair equipment allocation: When the demand for equipment is large, how to allocate equipment fairly and reasonably becomes a difficult problem. Traditional allocation methods often lack transparency and fairness. 2. Insufficient equipment use training: Different equipment has different operating requirements and precautions. Scientific researchers need to receive corresponding training before use. However, traditional training methods often lack pertinence and systematicness. Therefore, it is necessary to provide a laboratory equipment management method and system for chemical testing to solve the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide a laboratory equipment management method and system for chemical testing to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a laboratory equipment management method for chemical testing, the method comprising the following steps: Receive experimental equipment usage requirements input by a user, wherein the experimental equipment usage requirements include experimental items, user information, required equipment, and required time period; Determine whether the required equipment needs to be queued for use, and if necessary, retrieve the priority, credit and integrity of the corresponding user information, and calculate the equipment usage base of the user information; Determine the deadline of the demand time period, and at the deadline, determine the user information to which the device is assigned based on the device usage base; Retrieve historical equipment usage data of the assigned user information, analyze the historical equipment usage data, and send equipment training information to the user account; Upload device return information, which includes the return time and condition of the device, and update the user's credit and integrity based on the return time and condition of the device.

[0005] As a further solution of the present invention: the step of retrieving the priority, credit and integrity of the corresponding user information and calculating the device usage cardinality of the user information specifically includes: Retrieving the priority of user information, wherein the priority is obtained based on the user role and the urgency of the project; Retrieving the credit of the user information, wherein the credit is obtained based on the user's on-time return data; Retrieving the integrity of user information, the integrity of which is obtained based on the integrity of each user experiment; Calculate the device usage base of the user information.

[0006] As a further solution of the present invention: the step of analyzing the historical device usage data and sending the device training information to the user account specifically includes: Retrieve several key points of use of the required equipment, each key point of use corresponding to a training document; Analyze historical equipment usage data to determine the key points of use covered during historical equipment use; Uncovered usage points are determined, training materials corresponding to the uncovered usage points are summarized to obtain device training information, and the device training information is sent to the user account.

[0007] As a further solution of the present invention: the step of analyzing the historical equipment usage data to determine the key points of use covered in the historical equipment use process specifically includes: Extract all historical equipment from the historical equipment usage data and input the historical equipment into the equipment operation key point library; Output a number of operation points, compare the operation points with the usage points of the required equipment, and obtain the covered usage points.

[0008] As a further solution of the present invention: the step of uploading device return information specifically includes: Fill in the equipment return time and retrieve the integrity inspection information corresponding to the equipment. The integrity inspection information includes several integrity inspection points, each of which corresponds to the last situation and deduction points; Fill in the current situation and the total deduction points to obtain the intact condition, and obtain the equipment return information based on the intact condition and return time.

[0009] Another object of the present invention is to provide a laboratory equipment management system for chemical testing, the system comprising: The equipment use requirement module is used to receive the experimental equipment use requirement input by the user, and the experimental equipment use requirement includes the experimental project, user information, required equipment and required time period; The device usage cardinality module is used to determine whether the required device needs to be queued for use. If necessary, the priority, credit and integrity of the corresponding user information are retrieved to calculate the device usage cardinality of the user information; The allocated user determination module is used to determine the deadline of the required time period, and at the deadline, determine the user information to which the device is allocated according to the device usage base; The equipment training information module is used to retrieve the historical equipment usage data of the assigned user information, analyze the historical equipment usage data, and send equipment training information to the user account; The return information feedback module is used to upload the device return information, wherein the device return information includes the return time and the intact condition, and the user's credit and integrity are updated according to the return time and the intact condition.

[0010] As a further solution of the present invention: the device uses a base module including: A priority retrieving unit, used to retrieve the priority of user information, wherein the priority is obtained according to the user role and the urgency of the project; A credit retrieval unit, used to retrieve the credit of the user information, wherein the credit is obtained based on the user's on-time return data; An integrity retrieving unit, used to retrieve the integrity of user information, wherein the integrity is obtained according to the integrity of each user experiment; The usage base calculation unit is used to calculate the device usage base of the user information.

[0011] As a further solution of the present invention: the equipment training information module includes: A usage point retrieval unit, used to retrieve several usage points of the required equipment, each usage point corresponds to a training document; A coverage key point determination unit is used to analyze historical equipment usage data and determine the coverage key points during the historical equipment usage process; The training material summary unit is used to determine uncovered usage points, summarize the training materials corresponding to the uncovered usage points, obtain device training information, and send the device training information to the user account.

[0012] As a further solution of the present invention: the coverage point determination unit includes: The equipment input subunit is used to extract all historical equipment in the historical equipment usage data and input the historical equipment into the equipment operation key point library; The key point comparison subunit is used to output a number of operation key points, compare the operation key points with the usage key points of the required equipment, and obtain the covered usage key points.

[0013] As a further solution of the present invention: the return information feedback module includes: The integrity check information unit is used to fill in the equipment return time and retrieve the integrity check information corresponding to the equipment. The integrity check information includes several integrity check points, each of which corresponds to the last situation and deduction points; The intact condition determination unit is used to fill in the current situation and the total deduction points to obtain the intact condition, and obtain the equipment return information based on the intact condition and the return time.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention is based on a multi-dimensional equipment allocation strategy: by retrieving the priority, credit and integrity of user information, the equipment usage base is calculated, thereby achieving fairness and rationality in equipment allocation. It is capable of pushing personalized equipment training information: by analyzing the user's historical equipment usage data, personalized equipment training information is sent to the user account, which improves the researchers' familiarity with the equipment and the accuracy of operation, and avoids the redundancy of equipment training information. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The present invention is a flowchart of a laboratory equipment management method for chemical testing.

[0016] Figure 2 The present invention is a flowchart for calculating the equipment usage base in a laboratory equipment management method for chemical testing.

[0017] Figure 3 Flowchart for determining equipment training information in a laboratory equipment management approach for chemical testing.

[0018] Figure 4 A flow chart for identifying the key points of use covered in a laboratory equipment management approach for chemical testing.

[0019] Figure 5 The present invention is a flow chart for obtaining equipment return information in a laboratory equipment management method for chemical testing.

[0020] Figure 6 The figure is a schematic diagram of the structure of a laboratory equipment management system for chemical testing. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0023] like Figure 1 As shown, an embodiment of the present invention provides a laboratory equipment management method for chemical testing, the method comprising the following steps: S100, receiving an experimental equipment usage requirement input by a user, wherein the experimental equipment usage requirement includes an experimental project, user information, required equipment, and required time period; S200, determining whether the required device needs to be queued for use, and if necessary, retrieving the priority, credit and integrity of the corresponding user information, and calculating the device usage base of the user information; S300, determining the deadline of the required time period, and at the deadline, determining the user information to which the device is assigned according to the device usage cardinality; S400, retrieving historical device usage data of the assigned user information, analyzing the historical device usage data, and sending device training information to the user account; S500, uploading device return information, wherein the device return information includes the return time and the intactness, and updating the user's credit and integrity according to the return time and the intactness.

[0024] It should be noted that the current laboratory equipment management has the following problems: 1. Unfair equipment allocation: When the demand for equipment is large, how to fairly and reasonably allocate equipment becomes a difficult problem. Traditional allocation methods often lack transparency and fairness. 2. Insufficient equipment use training: Different equipment has different operating requirements and precautions, and scientific researchers need to receive corresponding training before use. However, traditional training methods often lack pertinence and systematicness. The embodiments of the present invention are intended to solve the above problems.

[0025] In the embodiment of the present invention, when a user needs to use laboratory equipment for chemical detection experiments, he needs to input the experimental equipment usage requirements, which include experimental projects, user information, required equipment and required time period, and then automatically determine whether the required equipment needs to be queued for use. For example, if the required equipment and required time period in a certain experimental equipment usage requirement overlap, it is necessary to queue up. At this time, the priority, credit and integrity of all corresponding user information will be retrieved to calculate the equipment usage cardinality of the user information. Then, the embodiment of the present invention will determine the deadline of the required time period, for example, the deadline is the first two hours of the required time period. At the deadline, all users will be sorted in descending order according to the equipment usage cardinality, so that the user information to which the equipment is assigned can be determined, that is, the user ranked first can use the required equipment. Then, the historical equipment usage data of the assigned user information will be retrieved, the historical equipment usage data will be analyzed, and equipment training information will be sent to the user account, and the equipment training information will be more personalized and accurate. Finally, the person in charge of the laboratory equipment custody will also upload the equipment return information, which includes the return time and condition. The user's credit and integrity will be updated based on the return time and condition, achieving effective supervision and feedback after the equipment is returned, and ensuring the long-term stable operation of the equipment.

[0026] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of retrieving the priority, credit and integrity of the corresponding user information and calculating the device usage cardinality of the user information specifically includes: S201, retrieve the priority of user information, where the priority is obtained based on the user role and the urgency of the project; S202, retrieving the credit of the user information, wherein the credit is obtained based on the on-time return data of the user; S203, retrieve the integrity of the user information, the integrity of which is obtained based on the integrity of each user experiment; S204: Calculate the device usage cardinality of the user information.

[0027] Specifically, the specific steps for calculating the device usage base of user information are as follows: The priority base is calculated by the priority of user information, and the corresponding process has the following relationship: ; in, Indicates the priority base. represents the weight coefficient, Indicates the priority of user information; The credit base is calculated by the credit of the user information. The corresponding relationship is: ; in, Indicates the credit base. represents the weight coefficient, Indicates the credibility of user information; The integrity base is calculated by the integrity of user information. The corresponding process has the following relationship: ; in, Indicates the base of integrity, represents the weight coefficient, Indicates the integrity of user information; The device usage cardinality of the user information is obtained based on the priority cardinality, the credit cardinality and the integrity cardinality. The corresponding process has the following relationship: ; in, Indicates the device usage base of user information.

[0028] Furthermore, by introducing risk factors to protect data of different scales or ranges, the impacts at different levels can be made more sensitive; by reflecting the user's role, behavior history and device status through different factors, the calculation of the base number can be made more comprehensive and comprehensive; by processing data in a smooth growth model, abnormal results caused by a single indicator being too high can be avoided.

[0029] In an embodiment of the present invention, in order to obtain the equipment usage cardinality, the priority of the user information will be retrieved first, and the priority will be obtained according to the user role and the project urgency. The higher the level of the user role, the higher the priority; the higher the project urgency of the experimental project, the higher the priority; then the credit of the user information will be retrieved, and the credit will be obtained according to the user's on-time return data. In this way, the user can be urged to return the equipment as soon as possible after use; then the integrity of the user information will be retrieved, and the credit will be obtained according to the integrity of the user after each experiment. In this way, the user can be urged to cherish and protect the equipment, so that the equipment usage cardinality can be obtained.

[0030] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of analyzing the historical device usage data and sending the device training information to the user account specifically includes: S401, retrieve several usage points of the required equipment, each usage point corresponds to a training document; S402, analyzing historical equipment usage data to determine the key points of use covered during the historical equipment use process; S403, determining uncovered usage points, summarizing the training materials corresponding to the uncovered usage points, obtaining device training information, and sending the device training information to the user account.

[0031] Specifically, step S403 includes the following sub-steps: By analyzing the historical equipment usage data, the usage frequency, difficulty coefficient and feedback coefficient of each usage point are obtained; Determine the total number of uncovered usage points and the weight of each uncovered usage point; Determine the number of times the key points of use are correctly executed in historical operations based on historical equipment usage data, and obtain the historical coverage rate of each key point of use by calculation; Get the uncovered rate through the historical coverage rate; The frequency adjustment factor is used to adjust the usage frequency to obtain an adjusted usage frequency; The feedback coefficient is processed by a logic function to obtain an adjusted feedback coefficient; Based on the uncovered rate, adjusted usage frequency, adjusted feedback coefficient, difficulty coefficient and weight of usage points, the training materials corresponding to the uncovered usage points are summarized to obtain equipment training information.

[0032] In an embodiment of the present invention, in order to obtain targeted equipment training information, several usage points of the required equipment will be retrieved, each usage point corresponds to a training material, the training material is prepared in advance, and then the historical equipment usage data of the user is analyzed to determine the usage points covered during the historical equipment use process. When a usage point is covered, it means that this usage point is experienced for the user and no detailed training is required. At this time, the uncovered usage points will be determined, and the training materials corresponding to the uncovered usage points will be summarized to obtain equipment training information, and the equipment training information will be sent to the user account. In this way, both the efficiency of the experiment and the safety of the experiment are guaranteed.

[0033] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of analyzing the historical equipment usage data to determine the usage points covered in the historical equipment usage process specifically includes: S4021, extracting feature vectors of all historical devices in the historical device usage data, converting the feature vectors of the historical devices into operation points and inputting them into a device operation point library; S4022, output a number of operation points, compare the operation points with the usage points of the required equipment, and obtain the covered usage points.

[0034] Specifically, extract the feature vectors of all historical devices in the historical device usage data, convert the feature vectors of the historical devices into operation points and input them into the device operation point library. The specific steps are as follows: Based on the historical equipment usage data, the characteristic function is constructed, and the relationship between the corresponding process is: ; in, It means processed by characteristic function. Represents historical device usage data, represents a natural constant, Indicates the total number of raw data in historical device usage data. represents the parameters of the characteristic function, Indicates the number of historical device usage data. The original data; Based on the characteristic function, the historical equipment usage data is extracted, and the corresponding process relationship is: ; in, represents the operation of extracting feature vectors, represents the total number of features, Indicates The weight of each feature; Map the extracted feature vectors of historical equipment to obtain the key points of operation; Enter the key operating points into the equipment key operating points library.

[0035] Furthermore, through feature extraction technology, key information can be effectively extracted from a large amount of historical data, thereby improving the accuracy and practicality of operating points.

[0036] Specifically, the step of outputting a plurality of operation points, comparing the operation points with the use points of the required equipment, and obtaining the covered use points specifically includes the following sub-steps: Count the total number of all operation points and usage points of required equipment; Define the vectors and weights of key operation points, define the vectors and weights of key use points of required equipment; Based on the total number of all operation points and the use points of the required equipment, accumulating the product of the weight of the operation point and the weight of the use point of the required equipment to obtain a first accumulated value; Accumulating the weights of the operation points to obtain a weight accumulation value of the operation points, and then performing a square root operation on the weight accumulation value of the operation points to obtain a vector length of the operation points; Accumulating the weights of the usage points of the demand equipment to obtain a weight accumulation value of the usage points of the demand equipment, and then performing a square root operation on the weight accumulation value of the usage points of the demand equipment to obtain a vector length of the usage points of the demand equipment; Multiply the vector length of the operation key point and the vector length of the use key point of the required equipment to obtain the product of the vector lengths; Dividing the first accumulated value by the product of the vector lengths to obtain the similarity between the operation key point and the usage key point of the required device; Based on the similarity between the operation points and the usage points of the required equipment, the operation points are compared with the usage points of the required equipment to determine the covered usage points.

[0037] In the embodiment of the present invention, a device operation key point library is established in advance, and the device operation key point library contains all laboratory equipment, and each laboratory equipment has corresponding operation key points. After extracting all historical equipment in the historical equipment usage data, the historical equipment is input into the device operation key point library for matching, and a number of operation key points will be automatically output. The operation key points are compared with the usage key points of the required equipment to obtain the covered usage key points.

[0038] like Figure 5 As shown, as a preferred embodiment of the present invention, as a preferred embodiment of the present invention, the step of returning the information by the uploading device specifically includes: S501, fill in the equipment return time, retrieve the integrity inspection information corresponding to the equipment, the integrity inspection information includes a number of integrity inspection points, each integrity inspection point corresponds to the last inspection comprehensive score and the last deducted score; S502, fill in the comprehensive score of this inspection and the total deduction data of this inspection to obtain the intact condition information, and obtain the equipment return information based on the intact condition information and the return time.

[0039] Specifically, in the step of filling in the comprehensive score of the inspection and the total deduction data of the inspection to obtain the intact condition information, and obtaining the equipment return information based on the intact condition information and the return time, the step of obtaining the intact condition information specifically includes the following sub-steps: Obtain the equipment return time to determine the actual return time of the equipment; Calculate the time difference between the actual return time and the estimated return time; Substitute the time difference into the sigmoid function to obtain the penalty factor; At each integrity checkpoint, based on the total deduction data, the actual deduction value and the maximum deduction value are obtained; Calculate the ratio of the actual deduction value to the maximum deduction value to obtain the deduction ratio for each integrity checkpoint; Multiply the deduction ratio of each integrity checkpoint by the maximum deduction value corresponding to the current integrity checkpoint to obtain the adjustment score value of each integrity checkpoint; The adjusted score value of each integrity checkpoint is accumulated to obtain the total adjusted score value of the integrity checkpoint; The total value of the adjustment score of the integrity checkpoint is multiplied by the penalty factor to obtain the integrity score; the integrity score is the integrity information.

[0040] In an embodiment of the present invention, when the experimental equipment storage office receives the experimental equipment returned by the user, it is necessary to fill in the equipment return time and retrieve the integrity inspection information corresponding to the equipment. The integrity inspection information includes several integrity inspection points, and each integrity inspection point corresponds to the last situation and the deduction points. This makes it convenient for the staff to conduct a comprehensive and detailed inspection, which is efficient and accurate. After the inspection is completed, it is necessary to fill in the current situation and the total deduction points to obtain the integrity status.

[0041] like Figure 6 As shown, an embodiment of the present invention further provides a laboratory equipment management system for chemical testing, the system comprising: The equipment use requirement module 100 is used to receive the experimental equipment use requirement input by the user, and the experimental equipment use requirement includes the experimental project, user information, required equipment and required time period; The device usage cardinality module 200 is used to determine whether the required device needs to be queued for use. If necessary, the priority, credit and integrity of the corresponding user information are retrieved to calculate the device usage cardinality of the user information; The allocated user determination module 300 is used to determine the end time of the required time period, and at the end time, determine the user information to which the device is allocated according to the device usage cardinality; The device training information module 400 is used to retrieve the historical device usage data of the assigned user information, analyze the historical device usage data, and send device training information to the user account; The return information feedback module 500 is used to upload the device return information, which includes the return time and the intactness, and update the user's credit and integrity according to the return time and the intactness.

[0042] As a preferred embodiment of the present invention, the device uses a base module 200 including: A priority retrieving unit, used to retrieve the priority of user information, wherein the priority is obtained according to the user role and the urgency of the project; A credit retrieval unit, used to retrieve the credit of the user information, wherein the credit is obtained based on the user's on-time return data; An integrity retrieving unit, used to retrieve the integrity of user information, wherein the integrity is obtained according to the integrity of each user experiment; The usage base calculation unit is used to calculate the device usage base of the user information.

[0043] As a preferred embodiment of the present invention, the equipment training information module 400 includes: A usage point retrieval unit, used to retrieve several usage points of the required equipment, each usage point corresponds to a training document; A coverage key point determination unit is used to analyze historical equipment usage data and determine the coverage key points during the historical equipment usage process; The training material summary unit is used to determine uncovered usage points, summarize the training materials corresponding to the uncovered usage points, obtain device training information, and send the device training information to the user account.

[0044] As a preferred embodiment of the present invention, the coverage point determination unit includes: The equipment input subunit is used to extract all historical equipment in the historical equipment usage data and input the historical equipment into the equipment operation key point library; The key point comparison subunit is used to output a number of operation key points, compare the operation key points with the usage key points of the required equipment, and obtain the covered usage key points.

[0045] As a preferred embodiment of the present invention, the return information feedback module 500 includes: The integrity check information unit is used to fill in the equipment return time and retrieve the integrity check information corresponding to the equipment. The integrity check information includes several integrity check points, each of which corresponds to the last situation and deduction points; The intact condition determination unit is used to fill in the current situation and the total deduction points to obtain the intact condition, and obtain the equipment return information based on the intact condition and the return time.

[0046] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0047] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0048] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0049] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A laboratory equipment management method for chemical testing, characterized in that: The method comprises the following steps: Receive the experimental equipment usage requirements input by the user, wherein the experimental equipment usage requirements include experimental items, user information, required equipment and required time period; Determine whether the required equipment needs to be queued for use, and if necessary, retrieve the priority, credit and integrity of the corresponding user information, and calculate the equipment usage base of the user information; Determine the deadline of the demand time period, and at the deadline, determine the user information to which the device is assigned based on the device usage base; Retrieve historical equipment usage data of the assigned user information, analyze the historical equipment usage data, and send equipment training information to the user account; Upload device return information, which includes the return time and condition, and update the user's credit and integrity based on the return time and condition; The step of retrieving the priority, credit and integrity of the corresponding user information and calculating the device usage cardinality of the user information specifically includes: Retrieving the priority of user information, wherein the priority is obtained based on the user role and the urgency of the project; Retrieving the credit of the user information, wherein the credit is obtained based on the user's on-time return data; Retrieving the integrity of user information, the integrity of which is obtained based on the integrity of each user experiment; Calculate the device usage base of the user information.

2. The laboratory equipment management method for chemical testing according to claim 1, characterized in that: The specific steps for calculating the device usage base of user information are as follows: The priority base is calculated by the priority of user information, and the corresponding process has the following relationship: ; in, Indicates the priority base. represents the weight coefficient, Indicates the priority of user information; The credit base is calculated by the credit of the user information. The corresponding relationship is: ; in, Indicates the credit base. represents the weight coefficient, Indicates the credibility of user information; The integrity base is calculated by the integrity of user information. The corresponding process has the following relationship: ; in, Indicates the base of integrity, represents the weight coefficient, Indicates the integrity of user information; The device usage cardinality of the user information is obtained based on the priority cardinality, the credit cardinality and the integrity cardinality. The corresponding process has the following relationship: ; in, Indicates the device usage base of user information.

3. The laboratory equipment management method for chemical testing according to claim 2, characterized in that: The step of analyzing the historical device usage data and sending the device training information to the user account specifically includes: Retrieve several key points of use of the required equipment, each key point of use corresponding to a training document; Analyze historical equipment usage data to determine the key points of use covered during historical equipment use; Uncovered usage points are determined, training materials corresponding to the uncovered usage points are summarized to obtain device training information, and the device training information is sent to the user account.

4. The laboratory equipment management method for chemical testing according to claim 3, characterized in that: The step of determining uncovered usage points, summarizing the training materials corresponding to the uncovered usage points, obtaining device training information, and sending the device training information to the user account specifically includes the following sub-steps: By analyzing the historical equipment usage data, the usage frequency, difficulty coefficient and feedback coefficient of each usage point are obtained; Determine the total number of uncovered usage points and the weight of each uncovered usage point; Determine the number of times the key points of use are correctly executed in historical operations based on historical equipment usage data, and obtain the historical coverage rate of each key point of use by calculation; Get the uncovered rate through the historical coverage rate; The frequency adjustment factor is used to adjust the usage frequency to obtain an adjusted usage frequency; The feedback coefficient is processed by a logic function to obtain an adjusted feedback coefficient; Based on the uncovered rate, adjusted usage frequency, adjusted feedback coefficient, difficulty coefficient and weight of usage points, the training materials corresponding to the uncovered usage points are summarized to obtain equipment training information.

5. The laboratory equipment management method for chemical testing according to claim 4, characterized in that: The step of analyzing the historical equipment usage data to determine the key points of use covered during the historical equipment use process specifically includes: Extract the feature vectors of all historical devices in the historical device usage data, convert the feature vectors of the historical devices into operation points and input them into the device operation point library; Output a number of operation points, compare the operation points with the usage points of the required equipment, and obtain the covered usage points.

6. The laboratory equipment management method for chemical testing according to claim 5, characterized in that: Extract the feature vectors of all historical devices in the historical device usage data, convert the feature vectors of the historical devices into operation points and input them into the device operation point library. The specific steps are as follows: Based on the historical equipment usage data, the characteristic function is constructed, and the relationship between the corresponding process is: ; in, It means processed by characteristic function. Represents historical device usage data, represents a natural constant, Indicates the total number of raw data in historical device usage data. represents the parameters of the characteristic function, Indicates the number of historical device usage data. The original data; Based on the characteristic function, the historical equipment usage data is extracted, and the corresponding process relationship is: ; in, represents the operation of extracting feature vectors, represents the total number of features, Indicates The weight of each feature; Map the extracted feature vectors of historical equipment to obtain the key points of operation; Enter the key operating points into the equipment key operating points library.

7. The laboratory equipment management method for chemical testing according to claim 6, characterized in that: Outputting a number of operation points, comparing the operation points with the use points of the required equipment, and obtaining the covered use points specifically includes the following sub-steps: Count the total number of all operation points and usage points of required equipment; Define the vectors and weights of key operation points, define the vectors and weights of key use points of required equipment; Based on the total number of all operation points and the use points of the required equipment, accumulating the product of the weight of the operation point and the weight of the use point of the required equipment to obtain a first accumulated value; Accumulating the weights of the operation points to obtain a weight accumulation value of the operation points, and then performing a square root operation on the weight accumulation value of the operation points to obtain a vector length of the operation points; Accumulating the weights of the usage points of the demand equipment to obtain a weight accumulation value of the usage points of the demand equipment, and then performing a square root operation on the weight accumulation value of the usage points of the demand equipment to obtain a vector length of the usage points of the demand equipment; Multiply the vector length of the operation key point and the vector length of the use key point of the required equipment to obtain the product of the vector lengths; Dividing the first accumulated value by the product of the vector lengths to obtain the similarity between the operation key point and the usage key point of the required device; Based on the similarity between the operation points and the usage points of the required equipment, the operation points are compared with the usage points of the required equipment to determine the covered usage points.

8. The laboratory equipment management method for chemical testing according to claim 7, characterized in that: The step of uploading the device return information specifically includes: Fill in the equipment return time and retrieve the integrity inspection information corresponding to the equipment. The integrity inspection information includes several integrity inspection points. Each integrity inspection point corresponds to the comprehensive score of the last inspection and the score deducted last time; Fill in the comprehensive score of this inspection and the total deduction data to obtain the integrity information, and obtain the equipment return information based on the integrity information and return time.

9. The laboratory equipment management method for chemical testing according to claim 8, characterized in that: In the step of filling in the comprehensive score of the inspection and the total deduction data of the inspection to obtain the intact condition information, and obtaining the equipment return information based on the intact condition information and the return time, the step of obtaining the intact condition information specifically includes the following sub-steps: Obtain the equipment return time to determine the actual return time of the equipment; Calculate the time difference between the actual return time and the estimated return time; Substitute the time difference into the sigmoid function to obtain the penalty factor; At each integrity checkpoint, based on the total deduction data, the actual deduction value and the maximum deduction value are obtained; Calculate the ratio of the actual deduction value to the maximum deduction value to obtain the deduction ratio for each integrity checkpoint; Multiply the deduction ratio of each integrity checkpoint by the maximum deduction value corresponding to the current integrity checkpoint to obtain the adjustment score value of each integrity checkpoint; The adjusted score value of each integrity checkpoint is accumulated to obtain the total adjusted score value of the integrity checkpoint; The total value of the adjustment score of the integrity checkpoint is multiplied by the penalty factor to obtain the integrity score; the integrity score is the integrity information.

10. A laboratory equipment management system for chemical testing, characterized in that: The laboratory equipment management method for chemical testing according to any one of claims 1 to 9 is applied, wherein the system comprises: The equipment use requirement module is used to receive the experimental equipment use requirement input by the user, and the experimental equipment use requirement includes the experimental project, user information, required equipment and required time period; The device usage cardinality module is used to determine whether the required device needs to be queued for use. If necessary, the priority, credit and integrity of the corresponding user information are retrieved to calculate the device usage cardinality of the user information; The allocated user determination module is used to determine the deadline of the required time period, and at the deadline, determine the user information to which the device is allocated according to the device usage base; The equipment training information module is used to retrieve the historical equipment usage data of the assigned user information, analyze the historical equipment usage data, and send equipment training information to the user account; The return information feedback module is used to upload the device return information, wherein the device return information includes the return time and the intact condition, and the user's credit and integrity are updated according to the return time and the intact condition.

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